From f01532e60227f557f2d6399389fb1fceafa4b149 Mon Sep 17 00:00:00 2001 From: johnjasa Date: Sat, 7 Jan 2017 12:27:01 -0500 Subject: [PATCH 1/7] Removed unnecessary files. --- Lecture-5-Sympy.ipynb | 2716 - Lecture-6A-Fortran-and-C.ipynb | 1897 - Lecture-6B-HPC.ipynb | 1692 - Lecture-7-Revision-Control-Software.ipynb | 1906 - Makefile | 26 - Scientific-Computing-with-Python.pdf | Bin 1756407 -> 0 bytes Scientific-Computing-with-Python.tex | 260 - chapter.tplx | 120 - stockholm_td_adj.dat | 77431 -------------------- 9 files changed, 86048 deletions(-) delete mode 100644 Lecture-5-Sympy.ipynb delete mode 100644 Lecture-6A-Fortran-and-C.ipynb delete mode 100644 Lecture-6B-HPC.ipynb delete mode 100644 Lecture-7-Revision-Control-Software.ipynb delete mode 100644 Makefile delete mode 100644 Scientific-Computing-with-Python.pdf delete mode 100644 Scientific-Computing-with-Python.tex delete mode 100644 chapter.tplx delete mode 100644 stockholm_td_adj.dat diff --git a/Lecture-5-Sympy.ipynb b/Lecture-5-Sympy.ipynb deleted file mode 100644 index 8e279a7..0000000 --- a/Lecture-5-Sympy.ipynb +++ /dev/null @@ -1,2716 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Sympy - Symbolic algebra in Python" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "J.R. Johansson (jrjohansson at gmail.com)\n", - "\n", - "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n", - "\n", - "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Introduction" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two notable Computer Algebra Systems (CAS) for Python:\n", - "\n", - "* [SymPy](http://sympy.org/en/index.html) - A python module that can be used in any Python program, or in an IPython session, that provides powerful CAS features. \n", - "* [Sage](http://www.sagemath.org/) - Sage is a full-featured and very powerful CAS enviroment that aims to provide an open source system that competes with Mathematica and Maple. Sage is not a regular Python module, but rather a CAS environment that uses Python as its programming language.\n", - "\n", - "Sage is in some aspects more powerful than SymPy, but both offer very comprehensive CAS functionality. The advantage of SymPy is that it is a regular Python module and integrates well with the IPython notebook. \n", - "\n", - "In this lecture we will therefore look at how to use SymPy with IPython notebooks. If you are interested in an open source CAS environment I also recommend to read more about Sage.\n", - "\n", - "To get started using SymPy in a Python program or notebook, import the module `sympy`:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from sympy import *" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To get nice-looking $\\LaTeX$ formatted output run:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "init_printing()\n", - "\n", - "# or with older versions of sympy/ipython, load the IPython extension\n", - "#%load_ext sympy.interactive.ipythonprinting\n", - "# or\n", - "#%load_ext sympyprinting" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Symbolic variables" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In SymPy we need to create symbols for the variables we want to work with. We can create a new symbol using the `Symbol` class:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x = Symbol('x')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAEgAAAAbBAMAAAAt2dQtAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrkJggg==\n", - "text/latex": [ - "$$\\left(x + \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(x + π) " - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(pi + x)**2" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# alternative way of defining symbols\n", - "a, b, c = symbols(\"a, b, c\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "sympy.core.symbol.Symbol" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(a)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can add assumptions to symbols when we create them:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x = Symbol('x', real=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x.is_imaginary" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x = Symbol('x', positive=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAACoAAAAPBAMAAABgjEDtAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMA782r3SJ2ZjIQmUS7\nVIlAnjihAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAv0lEQVQYGWNg/GQs72z0hQEV8Acw5BcwNKIK\nMsxiAIkyo4mGg0XZJqAKR4BFOUCi0Q2c3QFwWaAJ3Iq5j0LXH+A9n8DAuvwxWAooysC4dn4B0wEG\n/gSGLRO4JUEaQKJMDgwMPGBROQYGMaAgRNQAKsrxq7zcHC66ACrK/hckBARgExbA1H4DiyFEmQ8w\nxCcwODEwTIOpZQGqZRdguHiSob+AYSUDA/caeZkV3Of/XGBgeJc2RWQCp1XeBKghaBQAM0c287zN\nvm0AAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\mathrm{True}$$" - ], - "text/plain": [ - "True" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x > 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Complex numbers" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The imaginary unit is denoted `I` in Sympy. " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAACoAAAAQBAMAAACSDPCjAAAALVBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAOrOgAAAADnRSTlMAVO8Qq5l2zWaJ3SK7RPx7\nN2kAAAAJcEhZcwAADsQAAA7EAZUrDhsAAABySURBVBgZY2DABCwHGBgYldHFWRoYTEIeQ0UZE5Ck\n2SgRNQsDmoRhwoRLWES5BcLhopzl5VXq5eUODAzMDM/gokAGzGWMIEdhmMvuYIBF1E5gAhbRe9wN\nDKxOzz2A5gABzFyWDggfQsJEkcWATtoA5wMA/Fcc5MixWvAAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$1 + i$$" - ], - "text/plain": [ - "1 + ⅈ" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "1+1*I" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAABgAAAAPBAMAAAAMihLoAAAAJFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAADHJj5lAAAAC3RSTlMAEM3dMlTvq5l2ZtVdCTcAAAAJcEhZcwAA\nDsQAAA7EAZUrDhsAAAAqSURBVAgdY2DAClgTEcLi7RsRHAZOMjlCxiCgwkC2ATA3cJRtqoKxwTQA\nC0AL2ft3JesAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$-1$$" - ], - "text/plain": [ - "-1" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "I**2" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAEwAAAAbBAMAAAAkMnRXAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$\\left(i x + 1\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(ⅈ⋅x + 1) " - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(x * I + 1)**2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Rational numbers" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are three different numerical types in SymPy: `Real`, `Rational`, `Integer`: " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "r1 = Rational(4,5)\n", - "r2 = Rational(5,4)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAAsAAAAqBAMAAACXcryGAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAMpndu3bvImbNiRBU\nq0Qb3U6NAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAkklEQVQYGWNgYGAQAmIgMAGTrClgqmIKmFoA\npjgKwNRWBjC1AEzxCICpXQxg6uzdu9+ugnVAtDN8AXOW/L8Bpski/oPAB6K0Tt0gdACoMP//L5Dy\nWVcLQNQFEAGnbrQqgnjeDPUPQDQDiwGYYvrOwMA7gYHrHwMD2wQGpt8MDEwMDMwTGBjYFRjaQMYU\nrdVmYAAALnIpDsFeUO4AAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\frac{4}{5}$$" - ], - "text/plain": [ - "4/5" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "r1" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAABUAAAAqBAMAAACuFQ3dAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAMpndu3bvImbNiRBU\nq0Qb3U6NAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5UlEQVQYGWNgYGAQAmIYMAEyjm0A81hTGLgv\n3YewK6YAheIh7AUINkcBgr2VAcFegGDzCCDYuxgQ7LN37367CjeTIQVhPsMXBHvJ/xsMuvlzG4Ai\nNAb/4eADZTYVqTgyMGxasRBoCvcFhvUPGOYwbC5gYODdwMCWwJHAwDWBgYHNgIH3I8sFBp7fDAyc\nv4Fs/gsMfH/A1jL/3q/AwPcVzH6/oH4BA+MvMNuWoV4BymZSYICrCWJgAOrlAenlUWAoZ3Fg4ACa\nCYrRcKBdTEC72K1W6Row2DBsEwDaBfSjAcOu0IsMDACGnlMXi4yUmQAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\frac{41}{20}$$" - ], - "text/plain": [ - "41\n", - "──\n", - "20" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "r1+r2" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAABUAAAAqBAMAAACuFQ3dAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAVO8Qq5l2zWaJMkS7\nIt2ZnNffAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/klEQVQYGWNggICZmQtADCEDBgbzDawFDAzM\nrv5A9lEGngMg8XwDBu6/IAYQANk8CmAWmM1fNS0azAOK21cwMAmAOCD2ZwZWZSib/wEDx28om6+A\ngeMHlM2igBDnAqpXgIozeDIYgcwJ0S9pYOAM9QIJ0xj8h4MPlNl0NeYUA0OZwVKg+5kdGOZvYND/\n/xNoIosBA5MCQ6XbBSCb6QEDyy8GB7A97J8RbKAA32cGj7YosAzD/gkMhxnubwBznoBIngcgkjUA\nTIKjIxVocAEDJyhsGQMY7jIVMLB+BrKXMjDksgINK2Bg4H05M+QBbwBDE9BidqAfHzBcnRLMwAAA\nq1hKQiigoh8AAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\frac{16}{25}$$" - ], - "text/plain": [ - "16\n", - "──\n", - "25" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "r1/r2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Numerical evaluation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "SymPy uses a library for artitrary precision as numerical backend, and has predefined SymPy expressions for a number of mathematical constants, such as: `pi`, `e`, `oo` for infinity.\n", - "\n", - "To evaluate an expression numerically we can use the `evalf` function (or `N`). It takes an argument `n` which specifies the number of significant digits." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgsAAAAPBAMAAACYf5HCAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIom7VJlmdt1E7xDN\nqzIhoty3AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAGm0lEQVRIDe2X22tcVRTGv5lMJsmcmWQsVEQF\nh5G0ItaMVMEL2kHQB0UTW/PgpWb0wUJRTIUieEu0+GZJXkQRISmKaOvlIIiltiQoWKRURzHxGjMU\nCr5I2lqrbVLHb31rz+T4P3igO+ustddvfXudPfucAmvK1yJxHQ92/pneexFt3lBEanhjg87ykw0c\njo9XkSpfXoWHn+qfBD4uf4Pe3ZvLZVke9hyhP3nyPkMaN73+6kAzy52aI2RkNFlYu+WWJDJoeaQB\nRSBk4PYOGQgu1WW4w0q4ftPr2kyql/htrlwuieuzU0MYrMm8I7Y/u/jPrFyzWcKBWmoPDiF9Fjg4\n2TmLD5unqASZMx7uBL5D9DYuLmabzeZ5WR5WjqOHUKg6N/oSDzpNlpw+R0jRZEV1DEwmkNKSr0Yv\nQBEIGbjdFSCzDy5VOa5fJaTfkaYyIfAJCq6L69O7TqNvnIqiuUVrQ9ebwcpv2AH8BMzhZ2AvcB06\nKvjs+yIwVsXfUPh24FIUplEY6qS/LsvDyhE6U0NqVlx0DGGj02TJ6eWFFE1WIUZuOoFUse3AVVBE\nyMDF0xUc2rocpCrHV6IS0u9IU5kQeA9Q8EX49J53MUOZvMasDRd+HqyCuVaAAbwDLDZ6Ttp93YbX\nJ6MVMnhdDuxH3yzSJ9Lc8Q1ZHvYcQ6criMadO8VeOU2WnF5eSNFk5cZR+CeBVLGbgcHYI4YM3NRj\nFbaTbZBU5fhKVEJOIaUtIbAEXO2LCAsnvUZ54a6UbEP0B72Nr2O2oWPapqgN3IRnnDB1E9ZhpoKu\nfxh7tW0xrBw6B2s9f8TpGmDcG+nwiCx3hvLMEU3w/DLbwLktpNpwHpiqKiJk4Kbz3gaXqhxfiZVo\nOQmXypZU3gM9o/9tQ/QinbxsN2SL7TY8urOB97gbJhmaiPu+Ws+Tbn7bQzZzfwkFCxeaj9SQ427g\n2YFK22KY1wRxhl48sy5wV47tNBgjbnkxL29IownOsZsPuI20YtGfbMOoR4TUgIdDG9pSK5xiK1GJ\noJ9wqWxJlcAO+CJ8OlJXPMDMkPwJWm3oiFNn+YvA1zU27hRmvkCuiptwGRey5qUYCmNgJeYvAnl2\nl488WBZWjqPTzSOAcaOVGt5SJFgq5uWVYzTBOWmqlEBasRQP5yU6LSKkhmi01YYg1XaetcFLuNPg\n0vYfgXw4vgg/DYAruTRPRqndBjquR340M1Dlo6ljZhmdPI/RMc4h/S4HhjM/TtA6jFtPAzP0uOVh\n5vAi+q7Xzk2KGzVj3M+FdteD5cW8PJFOC/DdTE4gcX2Ku0FtYERIDWm02hCkWo7aoGLBaXqlLSEw\nOmEzuYiwG/hutPXpLtNItmGkiG3PDzSAYdjbJHuWkzp1VO7lajBSfBxd52JknzrGH/Kz9LjFFwvD\nzOGV25etY2yfc/8GnphURFYoFsrvjZ3m2Z1DTE4iRy4JPwpGhNSAu9ttCFItR4/Xi7l+EyRtCYFd\nszaTi/DpqSI6+DB5cSt9hHYbfgnHwmKMLmrqnkX2TGHWjoELgE1VhffwAVWZWeAPeZchzFJYOULn\niug97dyX2YaaIrLk9PLKEc2zsdNgbaSK8YgcrMIiQmqISqtt4CkUhxyuBF7MnAEplasC7XsjrNGm\n9y0n2nDXwsK5770977FTDOMocBtSxcI0d0NuFp3LaMZsg4U/PcF11zgnX0dElW4prByhbZfOO5dv\nce4Go8mS08tbzp2ieXZmiN1cRUrLRmbHsIiQGjILC4vvj+qFyTKU6jljFO7FzOlIqdTg9zN12LE6\nwqk2PVdB90lbge6AN4M1ZA3dXuw9CX6udhV7eTZM8zuPu4IzJooK8/l1FLN7sMQnzj3rlsLKEZpP\nDdeQSfcSzwanyZLTyytHNFn25b0jgXQt4DeoIkK2uASoDZKqHF+JSsgppLQlBGKJUHF9eraGwVF+\nD7XawE8FNWStrerZ+GANF5X7fwC+xYEqv3y3F/EoMn/xk5nhN2JsQ9eR6Au+7dkGtxRWjtA9R5Ad\nJZPcQil6y2my5NQcR4qm7NSL5a3jCaSKdVejD6CIkC1uX2iDpCrH9auEnEJKW0IgBtkDccPCXxm+\nAdgNbP3waI0fhs15t1Kb5/iaGb6Pr8xmk+dNevhX5m3gy7VneAv/C2Th3rn+SaB/mEPKXoWyFPYc\noX/fTIa46N/aCDSz3Kk5yhFNVp4f/OMJpIpF659rwCNCOje96Xyt86eVeZfqOb4SKyH9Qrq2VYG4\nuErRtoiwcMr5//oXWhd7due/PDYAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$3.1415926535897932384626433832795028841971693993751$$" - ], - "text/plain": [ - "3.1415926535897932384626433832795028841971693993751" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pi.evalf(n=50)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "y = (x + pi)**2" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAHUAAAAbBAMAAACw1N2lAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIma7zZnddlTvRIkQ\nqzLsm4+cAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACJElEQVQ4EZ2UP2hTURTGv6RJ+sy7/aOigw6+\nis7GduqUFIKDU7A6CC1UqFS6+JYiIpKAi5Md6mClpW8SnHwiIYMgd7I4iEW6dChmcHOISKhLJT3n\n3HdfWnkUfQfyzrnnfL97T07eDZDO3OmZdCBRb7Gdmr2DzmhaeBEXgrQssKzTswvpUbdGbMajx//Y\nmIgv8/N0Epd5/65xKD/Mh7C5rQ8Y4gEXw2IbmOLc33YGzi/JOWvsCiWAI3UdN6EqlPn+9IlG1m7J\nGji+ONQb2OPo8+w+u4clEw3UMAG0KLPR69GW3EFsln0dqK4kB5nNXKJzOXoj4k9WftYG4i1LHZie\nhXVzETspolwQMUvkNx+fe+TLus9+DCUh7Jhluz+WAiBfkxIwThMIswuFiqxj9vxdLQlmlR+xquvh\nBZCtSAm4R4PX7r4zKuuYhftSEsy6sGxP47aGMxexJFFSI021eu15tbplKquaPbPPLMuzvxJg+KdR\nQLYf8aOVPfckUG5wjlgVxuw8sV6fpZ6BTpufZJal5mLW2d39tu5LBztybnFOtDIrR9cxqGVt2RXg\nvkyAewZOlEz3Hfq+h2bVpF+8UcYpQeNzL8L5jS8VQwAjETsUKppzPjRivKIX78HmDe8oW7w1HaCw\nhfxO9ysNsfzHM1Fztg3k6COW/E5GxWQXv4pH74KSL5mMxFm+C8au2uBfvdxBI068+8ftM9DvLeMd\nJ0yomf8cKhwAL6SHm0ESaMoAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\left(x + 3.1416\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(x + 3.1416) " - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N(y, 5) # same as evalf" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When we numerically evaluate algebraic expressions we often want to substitute a symbol with a numerical value. In SymPy we do that using the `subs` function:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFYAAAAbBAMAAAAUvmV2AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$\\left(1.5 + \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(1.5 + π) " - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y.subs(x, 1.5)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKAAAAAPBAMAAACRq9klAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nQmCC\n", - "text/latex": [ - "$$21.5443823618587$$" - ], - "text/plain": [ - "21.5443823618587" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N(y.subs(x, 1.5))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `subs` function can of course also be used to substitute Symbols and expressions:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFIAAAAbBAMAAAAdVcUMAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIma7zZnddlTvRIkQ\nMqvFy5UvAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABm0lEQVQ4EY2TO0gDQRCG/8vrEu9OToSUkkKw\nja/OQuEQESRBCBZpUlppLGwEIY1ip4gIPgorQUSwSRWEFNYmpZXGRgsFY2OhgXP25nY1IZGbYmfn\n/7/sIzsHBIryZDUQB8Punw5GxmzrIyB5pn0FI4F4KygZKwYlywRqKRr+iZBNZihLw2A3SsuN16X+\nRJNLXAEzUvmb72Coy94C1tzOFK+roLh/8DfgSIpGEQnXbSImjqFCkofAu9ze3GM7qSgxkWSm+kti\nnpF1Slp+6ZQrSVK1WtVdiiyQY2+M0oUdaXaSfd+o3K+NDJA+zN4yYO4jmu4kYw2rZNibQt5m7xiI\ntuA9luE4sweO0/AMsWUY9B8Aj54AIhNp1OpcqXPqdD48oCBkn6Tda9fYFQqFIreg2ViE10Hn7NGN\naiVMxO020spCt80WvIfyb0RNEimGVgz+nVwzWSk/Qy/gRMh59mhp8+VmaKOdzLjuJ8IpvAp5gb3u\nr8kej1qBs9d5yjD5uKoWE+oQjlE/90zUdRxdO1maIqultJQoe4f3dZD9A6SlVff4q7eXAAAAAElF\nTkSuQmCC\n", - "text/latex": [ - "$$\\left(a + 2 \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(a + 2⋅π) " - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y.subs(x, a+pi)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also combine numerical evolution of expressions with NumPy arrays:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import numpy" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x_vec = numpy.arange(0, 10, 0.1)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "y_vec = numpy.array([N(((x + pi)**2).subs(x, xx)) for xx in x_vec])" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(x_vec, y_vec);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "However, this kind of numerical evolution can be very slow, and there is a much more efficient way to do it: Use the function `lambdify` to \"compile\" a Sympy expression into a function that is much more efficient to evaluate numerically:" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "f = lambdify([x], (x + pi)**2, 'numpy') # the first argument is a list of variables that\n", - " # f will be a function of: in this case only x -> f(x)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "y_vec = f(x_vec) # now we can directly pass a numpy array and f(x) is efficiently evaluated" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The speedup when using \"lambdified\" functions instead of direct numerical evaluation can be significant, often several orders of magnitude. Even in this simple example we get a significant speed up:" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10 loops, best of 3: 28.2 ms per loop\n" - ] - } - ], - "source": [ - "%%timeit\n", - "\n", - "y_vec = numpy.array([N(((x + pi)**2).subs(x, xx)) for xx in x_vec])" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The slowest run took 8.86 times longer than the fastest. This could mean that an intermediate result is being cached \n", - "100000 loops, best of 3: 2.93 µs per loop\n" - ] - } - ], - "source": [ - "%%timeit\n", - "\n", - "y_vec = f(x_vec)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Algebraic manipulations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "One of the main uses of an CAS is to perform algebraic manipulations of expressions. For example, we might want to expand a product, factor an expression, or simply an expression. The functions for doing these basic operations in SymPy are demonstrated in this section." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Expand and factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The first steps in an algebraic manipulation " - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMEAAAAUBAMAAADGn0QzAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrkJggg==\n", - "text/latex": [ - "$$\\left(x + 1\\right) \\left(x + 2\\right) \\left(x + 3\\right)$$" - ], - "text/plain": [ - "(x + 1)⋅(x + 2)⋅(x + 3)" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(x+1)*(x+2)*(x+3)" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKsAAAAWBAMAAABNknGBAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\njEDZKpsiBgX+AfzFj7EIR0Y4AAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$x^{3} + 6 x^{2} + 11 x + 6$$" - ], - "text/plain": [ - " 3 2 \n", - "x + 6⋅x + 11⋅x + 6" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expand((x+1)*(x+2)*(x+3))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `expand` function takes a number of keywords arguments which we can tell the functions what kind of expansions we want to have performed. For example, to expand trigonometric expressions, use the `trig=True` keyword argument:" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFgAAAAUBAMAAAD7IecQAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\ngg==\n", - "text/latex": [ - "$$\\sin{\\left (a + b \\right )}$$" - ], - "text/plain": [ - "sin(a + b)" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sin(a+b)" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAAUBAMAAACwpfa4AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAMnZUZs0Qu91E7yKJ\nmaurDqYVAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAEMElEQVRIDXWWX2gcVRTGv+nuzOxmNt21ImiE\nZoj6oCayiKDoQ5aCINTiKkTwX7s+lIK23SVYhBbtog+CFV3wRYqQqiUqpTJCMaVQXYOFljaypooP\nRlxDEUSkidWUaJv4nTszd26WyYU7893zO2fu2XPPzi7QO06EhmzQC8J1iNejOsarKLlVG9aIiCLG\n1ocJ9hqR/iOxGYp41ydcp9EBP3GcgrO/CWxM/xhTkWOMrWtJpB2H7ExshhK8nes0OthOHJ8B7C7g\nVBOToUjVSMPbYr+CHyvzLvgKp6b3mlTrbAcolrmc1iZDCA1HCj4UM+dIrMw7cX6JBk3TE8gFwESN\nfi+YwbEWGo4IezfEBnhNLZ/SKhGCC5xATI0EPi8JUOMkr2dF2S21XnsRGg5i67Yt1akV3HR80z0+\njRs6vJyeuasG/EyFPRcuwpkebmHTfXdwKdieHylHlJYoAWLvYNd6+ruheQkb4dw+dBHol+c5czNl\n7B46pzaLqDc3O6nwLqApbfWG7/1H5lZY42PYQfkwp/cRBoKbA4w7DeQiXH/SoadQGWECCrPrcuP4\nKqD1Je76T60eIFvl6lTZOmYdguurzRTF4cBegODDNfh4FdgP/E3fXJnnVsGPlA9w2lWMlt4CBm+Z\nxIYIj9bAb41QGWECecFuF+4RFCu0vg5kllBsI9PkagyZxVwb1qLaTFHnKPobdGoid/VuSAL7gL/o\n29cCfqnhNcpBznoHsNj1xfY740GEf4DDBITizNjYm2Nj8rUU7DKBKoo+l5+yulXUuekCa3GdlsEy\ncE1tFtIl5OhI7JxZ7UgCLycJfAxnUUI4J+iUWWYCjd075DGS33PIMyWVAC1RDwh2mUBDJ2B3MFFW\nCeTlk40y8qraTCXQ10C9pBL4AtllIwEeAT9fZoEh73HqCvxUw2N8BDFPqp9fRKEywgQ8wW6SAI+A\nR8FS5ptGBa6rzdQRsDijjCbmAy4ZCbAJnSus5ENhm7EHUD7OSrzrY2MFqkeXpUl6mjAj2E0SYBMW\nWzxn6TLpAWT6Osgvq81UE9bL2JdRPfpgDQek/tERFDrAE3ik2wbmGOodRSEYKOHZzCTcgO8A4kt4\nhUSojLACCrP+8RHM8Geg4tK5v02fUxWctz6A3VabAaS2n327oPD7Wx5tbV79bfPqr/f/21U1wd7h\nW+dbwOMMxd7Z8/Dmvm3lv7n9HJcsGfaMVKgU5T1MQLB1eeX5yys3HvyMVh6QM/s9hV3ixflzOMDp\nC79DNovo/Ndf3hlhWoyhX8XGOzEFaxomYHgoqV+2J3uJrDVFCt4WRxT8WJn3GGv6okm11j8309pk\nCE3TfqvkpNXYaUQkMsbpNPE7EEqnmpgMFVGkYf2HJHYy4ihjnE4T36lQxvkmQKmIqr7uQcCJ0LLe\nn64Qr0f107yKklu1YY2IqPwl+x/SgSmeCF1yWAAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\sin{\\left (a \\right )} \\cos{\\left (b \\right )} + \\sin{\\left (b \\right )} \\cos{\\left (a \\right )}$$" - ], - "text/plain": [ - "sin(a)⋅cos(b) + sin(b)⋅cos(a)" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expand(sin(a+b), trig=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "See `help(expand)` for a detailed explanation of the various types of expansions the `expand` functions can perform." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The opposite a product expansion is of course factoring. The factor an expression in SymPy use the `factor` function: " - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMEAAAAUBAMAAADGn0QzAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrkJggg==\n", - "text/latex": [ - "$$\\left(x + 1\\right) \\left(x + 2\\right) \\left(x + 3\\right)$$" - ], - "text/plain": [ - "(x + 1)⋅(x + 2)⋅(x + 3)" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "factor(x**3 + 6 * x**2 + 11*x + 6)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simplify" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `simplify` tries to simplify an expression into a nice looking expression, using various techniques. More specific alternatives to the `simplify` functions also exists: `trigsimp`, `powsimp`, `logcombine`, etc. \n", - "\n", - "The basic usages of these functions are as follows:" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMEAAAAUBAMAAADGn0QzAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrkJggg==\n", - "text/latex": [ - "$$\\left(x + 1\\right) \\left(x + 2\\right) \\left(x + 3\\right)$$" - ], - "text/plain": [ - "(x + 1)⋅(x + 2)⋅(x + 3)" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# simplify expands a product\n", - "simplify((x+1)*(x+2)*(x+3))" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAAgAAAAPBAMAAAArJJMAAAAAHlBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAACGjDitAAAACXRSTlMAVO8Qq5l2zWYZcMvdAAAACXBIWXMAAA7EAAAOxAGV\nKw4bAAAAHUlEQVQIHWNgAANGZQYGk5DJQDYbqQSr03QPsBkAJYgIYEZbtZEAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$1$$" - ], - "text/plain": [ - "1" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# simplify uses trigonometric identities\n", - "simplify(sin(a)**2 + cos(a)**2)" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAD4AAAAvBAMAAABJZWRJAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$\\frac{1}{\\tan{\\left (x \\right )}}$$" - ], - "text/plain": [ - " 1 \n", - "──────\n", - "tan(x)" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simplify(cos(x)/sin(x))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### apart and together" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To manipulate symbolic expressions of fractions, we can use the `apart` and `together` functions:" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "f1 = 1/((a+1)*(a+2))" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIIAAAAvBAMAAADdrw/+AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$\\frac{1}{\\left(a + 1\\right) \\left(a + 2\\right)}$$" - ], - "text/plain": [ - " 1 \n", - "───────────────\n", - "(a + 1)⋅(a + 2)" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f1" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAI4AAAAsBAMAAABBB53eAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nUyuKBLIyAOpdmg617KB4AAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$- \\frac{1}{a + 2} + \\frac{1}{a + 1}$$" - ], - "text/plain": [ - " 1 1 \n", - "- ───── + ─────\n", - " a + 2 a + 1" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "apart(f1)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "f2 = 1/(a+2) + 1/(a+3)" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAHwAAAAsBAMAAABVvsF6AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nnOfh0q8AAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\frac{1}{a + 3} + \\frac{1}{a + 2}$$" - ], - "text/plain": [ - " 1 1 \n", - "───── + ─────\n", - "a + 3 a + 2" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f2" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIIAAAAvBAMAAADdrw/+AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\ngg==\n", - "text/latex": [ - "$$\\frac{2 a + 5}{\\left(a + 2\\right) \\left(a + 3\\right)}$$" - ], - "text/plain": [ - " 2⋅a + 5 \n", - "───────────────\n", - "(a + 2)⋅(a + 3)" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "together(f2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Simplify usually combines fractions but does not factor: " - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIIAAAAvBAMAAADdrw/+AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\ngg==\n", - "text/latex": [ - "$$\\frac{2 a + 5}{\\left(a + 2\\right) \\left(a + 3\\right)}$$" - ], - "text/plain": [ - " 2⋅a + 5 \n", - "───────────────\n", - "(a + 2)⋅(a + 3)" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "simplify(f2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculus" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In addition to algebraic manipulations, the other main use of CAS is to do calculus, like derivatives and integrals of algebraic expressions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Differentiation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Differentiation is usually simple. Use the `diff` function. The first argument is the expression to take the derivative of, and the second argument is the symbol by which to take the derivative:" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAEgAAAAbBAMAAAAt2dQtAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nrkJggg==\n", - "text/latex": [ - "$$\\left(x + \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "(x + π) " - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFgAAAAbBAMAAAAKd1XFAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nYII=\n", - "text/latex": [ - "$$4 \\left(x + \\pi\\right)^{3}$$" - ], - "text/plain": [ - " 3\n", - "4⋅(x + π) " - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diff(y**2, x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For higher order derivatives we can do:" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGEAAAAbBAMAAACekfw3AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAVO8Qq5l2zWYiuzKJ\nRN0MreaOAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAByElEQVQ4EZWTPUjDYBCG3/6bNqmKKOgi6OCm\nQToKFgV/Fi2oi5NQFFy0W8HBdhF0kY5OtaM41cnRgigUBTs5d1I6iBVRB3/i3Zd8bVO1knfId/fe\nPbkcfAGcSF1ecNJOvUVMOyQqOMs4Qx5wWHJGAP26U+LOKaDGmomDZqOe73G4I3Nl6TjPsZKTzs/T\nmwG0gkZ9rkEgAvWTewLk/iVPAjjt7NMRWXwGJoEB7qwNFZhrRRzycQmMGAZlfiKGgXkah4qsirOJ\nGJVFJlK6IJSyNH8jAiWrygTpUadxMcCzNntL81lyxqZhGC+Aj6pCJqF9UBJMA2PYX7k3KxahXvUc\nrGeAtoRpiz2AcJTScAdwjhu910acoOjPk+Mqm7ZFLHHmLgE6tkRBTSa3h5LJKCc5r07PUJVjkvgq\n3sAkgFcOWXKPUDTMqZ3ohpIxvwqhdy6zJOFLt/MMrcwmiWeEYvATwZt3+auIi0KNGNfbS+TYNs9e\nX8yRRzdTewpWFQJZcsYG3AVKffwg+SbeZpAyjC+Kaa5nKr66Kwp14gjeAlmBvOU3Hi1vSbaxU8b2\nm+ih1Rpk3YQGh8KgvcdW5Nv+U63+qD/e9t9fS0O+AbbpaS6aluDxAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$12 \\left(x + \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "12⋅(x + π) " - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diff(y**2, x, x)" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGEAAAAbBAMAAACekfw3AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAVO8Qq5l2zWYiuzKJ\nRN0MreaOAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAByElEQVQ4EZWTPUjDYBCG3/6bNqmKKOgi6OCm\nQToKFgV/Fi2oi5NQFFy0W8HBdhF0kY5OtaM41cnRgigUBTs5d1I6iBVRB3/i3Zd8bVO1knfId/fe\nPbkcfAGcSF1ecNJOvUVMOyQqOMs4Qx5wWHJGAP26U+LOKaDGmomDZqOe73G4I3Nl6TjPsZKTzs/T\nmwG0gkZ9rkEgAvWTewLk/iVPAjjt7NMRWXwGJoEB7qwNFZhrRRzycQmMGAZlfiKGgXkah4qsirOJ\nGJVFJlK6IJSyNH8jAiWrygTpUadxMcCzNntL81lyxqZhGC+Aj6pCJqF9UBJMA2PYX7k3KxahXvUc\nrGeAtoRpiz2AcJTScAdwjhu910acoOjPk+Mqm7ZFLHHmLgE6tkRBTSa3h5LJKCc5r07PUJVjkvgq\n3sAkgFcOWXKPUDTMqZ3ohpIxvwqhdy6zJOFLt/MMrcwmiWeEYvATwZt3+auIi0KNGNfbS+TYNs9e\nX8yRRzdTewpWFQJZcsYG3AVKffwg+SbeZpAyjC+Kaa5nKr66Kwp14gjeAlmBvOU3Hi1vSbaxU8b2\nm+ih1Rpk3YQGh8KgvcdW5Nv+U63+qD/e9t9fS0O+AbbpaS6aluDxAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$12 \\left(x + \\pi\\right)^{2}$$" - ], - "text/plain": [ - " 2\n", - "12⋅(x + π) " - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diff(y**2, x, 2) # same as above" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To calculate the derivative of a multivariate expression, we can do:" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x, y, z = symbols(\"x,y,z\")" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "f = sin(x*y) + cos(y*z)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\frac{d^3f}{dxdy^2}$" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPgAAAAUBAMAAABSee3BAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$- x \\left(x y \\cos{\\left (x y \\right )} + 2 \\sin{\\left (x y \\right )}\\right)$$" - ], - "text/plain": [ - "-x⋅(x⋅y⋅cos(x⋅y) + 2⋅sin(x⋅y))" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diff(f, x, 1, y, 2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Integration" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Integration is done in a similar fashion:" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKAAAAAUBAMAAAD4uit9AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nXd6gLq79C/gHf4qzfkFAyyAAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\sin{\\left (x y \\right )} + \\cos{\\left (y z \\right )}$$" - ], - "text/plain": [ - "sin(x⋅y) + cos(y⋅z)" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAA/BAMAAABEE43RAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nojUnOm7/Aywn7A6s7fMGAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$x \\cos{\\left (y z \\right )} + \\begin{cases} 0 & \\text{for}\\: y = 0 \\\\- \\frac{1}{y} \\cos{\\left (x y \\right )} & \\text{otherwise} \\end{cases}$$" - ], - "text/plain": [ - " ⎛⎧ 0 for y = 0⎞\n", - " ⎜⎪ ⎟\n", - "x⋅cos(y⋅z) + ⎜⎨-cos(x⋅y) ⎟\n", - " ⎜⎪────────── otherwise⎟\n", - " ⎝⎩ y ⎠" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "integrate(f, x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By providing limits for the integration variable we can evaluate definite integrals:" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFAAAAAUBAMAAADo9qfkAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nQRf3RTl5VjX764CLv8JfPcJj8HGPsdwAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$2 \\cos{\\left (y z \\right )}$$" - ], - "text/plain": [ - "2⋅cos(y⋅z)" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "integrate(f, (x, -1, 1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "and also improper integrals" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAB0AAAAVBAMAAABI7vhRAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAInarRM2ZVBDdiWbv\nuzJCz3LGAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAr0lEQVQYGWNggADG/2DwAcplYHaAsSC0KCqX\nIR2VzzEBlc9WgMrvROUyrEblg7TrAx3wDSrMtIGBa12RtKIAkO8CxJwMDM8ZFjI9ADKZjgIJJSBm\nuMDcACQl9B0YGEC28xkAVQFB/wUG7gVAmm0DfwOQYmD7yMAJYvQ38DsAKQbGbwy7QLQmA88CEM1g\n3zADRN1mYF4AohneL08A0zCC9WgDjAmm2WGuhIkGwhhAGgDwdic2xV4k0wAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\sqrt{\\pi}$$" - ], - "text/plain": [ - " ___\n", - "╲╱ π " - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "integrate(exp(-x**2), (x, -oo, oo))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Remember, `oo` is the SymPy notation for inifinity." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sums and products" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can evaluate sums and products using the functions: 'Sum'" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "n = Symbol(\"n\")" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAADsAAAA9BAMAAADhUgydAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nb2oXAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$\\sum_{n=1}^{10} \\frac{1}{n^{2}}$$" - ], - "text/plain": [ - " 10 \n", - " ____ \n", - " ╲ \n", - " ╲ 1 \n", - " ╲ ──\n", - " ╱ 2\n", - " ╱ n \n", - " ╱ \n", - " ‾‾‾‾ \n", - "n = 1 " - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Sum(1/n**2, (n, 1, 10))" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAPBAMAAAAIUwCQAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nt0ciqgAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$1.54976773116654$$" - ], - "text/plain": [ - "1.54976773116654" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Sum(1/n**2, (n,1, 10)).evalf()" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAPBAMAAAAIUwCQAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAVO8Qq5l2zWbdiTJE\nuyIU2bFIAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACpklEQVQ4Ea1TQWsTQRh9223TdLPZ5FBPHmqt\nIEIrS62V9tJQo1Q8ZNEGoShEoQp6aKQeDV0U1JPVgwiCGMRKrZTsQS9ejIIHT1bP1u5FUA9KGmna\nYhvffNMUf4ALeftm3puXmfm+BRqP9fQ5aczTYI49CYEfcx+V/BI4OKtU8Qj0Xzy9pQhzsosBnLn5\nJCeNLqXAvIpTfLUtaOj1nf1wPHT4HD8ELmMg1B5t9NCsFlMR1gfrD77CWAX6RqsUgLiHRb7OqUDC\nMHAEkQoSd4BID6K7YOW1R4yGDycvimaHgd2YSGKNqyM68ENIDucmAxXUgBLsbgxx2bcC4ikYVYhH\nwFqAyb+iotk+IBO8LZtc1gj8pPJgtTKQYG4AEwEn1JGLBSRSsCsQj4C94Vpa0WzKZSCvj0duBNZe\njZeB2ypQwV7ukGPzARANCxjyYK9APNqYWZ3VCoQx55ELDBRJ9JHNmo9OmDlmCZSAKd7Ts5NAPwr4\nVURsXTzaCKs+qRXNAHudTXGPoY3AuosTrgUGCrTmjFKS6uMyiirQU4HKc0CMaH+/rBXN2B4puq3u\n7UBVn+nyThUogBuXSgHVpi4jYKA+sngEoilMaEUYjVn+WGpucavK9xl4vchAU4ESM64TIl4ZBANZ\nFKMC5fEFmkLEtCKMKR7wE1hKbgey8abfpNOZPWcV5Bh4BYkqA9vT6eWj8QVEq6o5p8sCQ9RHRBEG\n7IAT8jL+CXzN+6GrSW2OcC2Mbap32ybH0tgteYhHgPvCF1E04xcbCXtYas6rI7N9m4tmJx0JFUi4\n4B7yEfXRkeOYTXkXvYH2iNGeRFQrmn2fmzmGWzBWgJbh2oiUaGY0YJmWfvsCVlZ9/O+yn4nz9REM\nnj9OJh6BF2NKV4qwqXp9DXb2TJmT//n5CzSjDuDy+pXbAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$1.64493406684823$$" - ], - "text/plain": [ - "1.64493406684823" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Sum(1/n**2, (n, 1, oo)).evalf()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Products work much the same way:" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAC8AAAA9BAMAAADPFy0PAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$\\prod_{n=1}^{10} n$$" - ], - "text/plain": [ - " 10 \n", - "┬───┬ \n", - "│ │ n\n", - "│ │ \n", - "n = 1 " - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Product(n, (n, 1, 10)) # 10!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Limits" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Limits can be evaluated using the `limit` function. For example, " - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAAgAAAAPBAMAAAArJJMAAAAAHlBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAACGjDitAAAACXRSTlMAVO8Qq5l2zWYZcMvdAAAACXBIWXMAAA7EAAAOxAGV\nKw4bAAAAHUlEQVQIHWNgAANGZQYGk5DJQDYbqQSr03QPsBkAJYgIYEZbtZEAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$1$$" - ], - "text/plain": [ - "1" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "limit(sin(x)/x, x, 0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can use 'limit' to check the result of derivation using the `diff` function:" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKAAAAAUBAMAAAD4uit9AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nXd6gLq79C/gHf4qzfkFAyyAAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\sin{\\left (x y \\right )} + \\cos{\\left (y z \\right )}$$" - ], - "text/plain": [ - "sin(x⋅y) + cos(y⋅z)" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFMAAAAUBAMAAAADwRznAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n", - "text/latex": [ - "$$y \\cos{\\left (x y \\right )}$$" - ], - "text/plain": [ - "y⋅cos(x⋅y)" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "diff(f, x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\displaystyle \\frac{\\mathrm{d}f(x,y)}{\\mathrm{d}x} = \\frac{f(x+h,y)-f(x,y)}{h}$" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "h = Symbol(\"h\")" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAFMAAAAUBAMAAAADwRznAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHaZIu+JVM27RDKr\nZt2dj8xZAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABlUlEQVQoFXWTPUvDUBSG31jbfDUxFBQEh9BK\nXYRmEkXEiBRRUDo46RJaEXEKgrMZHDo6uAiKXXS0/gMFN0EIRZyLCK5qQWg76IlJ9V6jBxLOc86T\n+8G9Af6Lfp/t3LPwO1/kCmmbQx72ORQ8DjnQLA5R5pEl3WYJGOSRpRUWKJdqEHImigYgTFRcDGW3\noY41PGrl6MmML+XNSEhYSIklFKhcdNVV9QmyOQw0iU/oa0d71L1I0DwsJDwcUasKsas7ULtnBkzi\nZyBlpF5FOxLEJoykiTcaoUXtKxd419ujlGKNapAO0BPUF6BuqF1AIR17NaAtbH1YoQoMmJSFQqBO\noq/EjNqag9YhgRZA01zSKxSUJnAM+ZoKVUBMWlA6O8AdMW1LNAroMyKBtoUp1H1qFX1sqOuQnF0D\nh8QVmtk9xXJPSDjASHnWppZwk7cxv3mL88ZDjfiCOtnMDI0SClKwFlrMH8EebCDQ6aU9IdhFLL6v\nSyTQddF92Yx5QSFYcBChEFxCJTv9VYm9elc7FGQ7JvwUYj/MJ3CTXM0O35peAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$y \\cos{\\left (x y \\right )}$$" - ], - "text/plain": [ - "y⋅cos(x⋅y)" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "limit((f.subs(x, x+h) - f)/h, h, 0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "OK!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can change the direction from which we approach the limiting point using the `dir` keywork argument:" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAABMAAAALBAMAAABv+6sJAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEKvvZom7mXYyzVQi\n3UQ6SGZXAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAaklEQVQIHWNgYBBgAAIQwaj82YGBIayogYGB\nbQLHLwapDQxTGRg8GRj2J6xkYGA5wACUYP0LJBgcQEyGfBDRAGYm/wNqd2BwZGDgiDE+wMBxgIGd\ngSGcYb4dgytQolxtAwNjvXEAUDncNgBJUBUwaYAbUgAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\infty$$" - ], - "text/plain": [ - "∞" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "limit(1/x, x, 0, dir=\"+\")" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAACMAAAALBAMAAAAHCCkxAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEM3dMqvvZom7mXZU\nIkRJD0iWAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAfklEQVQIHWNggAMBEAtMQIUYw74VMDB0Lt0A\nV8LA6cD9iUHoAIMHQqiEgeH8BBUGBvYLDELGIKDCANTA8RmkC6gdCkC8+SAChCEAxJr2j4GBsQAm\nwlDIwMDdm3aBgfsCXIiLgaGLwT+PoQIuwsC4KvIAA+P6tAaEENThAgwMAMSLGqu/gFQwAAAAAElF\nTkSuQmCC\n", - "text/latex": [ - "$$-\\infty$$" - ], - "text/plain": [ - "-∞" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "limit(1/x, x, 0, dir=\"-\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Series" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Series expansion is also one of the most useful features of a CAS. In SymPy we can perform a series expansion of an expression using the `series` function:" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$1 + x + \\frac{x^{2}}{2} + \\frac{x^{3}}{6} + \\frac{x^{4}}{24} + \\frac{x^{5}}{120} + \\mathcal{O}\\left(x^{6}\\right)$$" - ], - "text/plain": [ - " 2 3 4 5 \n", - " x x x x ⎛ 6⎞\n", - "1 + x + ── + ── + ── + ─── + O⎝x ⎠\n", - " 2 6 24 120 " - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "series(exp(x), x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By default it expands the expression around $x=0$, but we can expand around any value of $x$ by explicitly include a value in the function call:" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$e + e \\left(x - 1\\right) + \\frac{e}{2} \\left(x - 1\\right)^{2} + \\frac{e}{6} \\left(x - 1\\right)^{3} + \\frac{e}{24} \\left(x - 1\\right)^{4} + \\frac{e}{120} \\left(x - 1\\right)^{5} + \\mathcal{O}\\left(\\left(x - 1\\right)^{6}; x\\rightarrow1\\right)$$" - ], - "text/plain": [ - " 2 3 4 5 \n", - " ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) ⎛ 6\n", - "ℯ + ℯ⋅(x - 1) + ────────── + ────────── + ────────── + ────────── + O⎝(x - 1) \n", - " 2 6 24 120 \n", - "\n", - " \n", - " ⎞\n", - "; x → 1⎠\n", - " " - ] - }, - "execution_count": 72, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "series(exp(x), x, 1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And we can explicitly define to which order the series expansion should be carried out:" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$e + e \\left(x - 1\\right) + \\frac{e}{2} \\left(x - 1\\right)^{2} + \\frac{e}{6} \\left(x - 1\\right)^{3} + \\frac{e}{24} \\left(x - 1\\right)^{4} + \\frac{e}{120} \\left(x - 1\\right)^{5} + \\frac{e}{720} \\left(x - 1\\right)^{6} + \\frac{e}{5040} \\left(x - 1\\right)^{7} + \\frac{e}{40320} \\left(x - 1\\right)^{8} + \\frac{e}{362880} \\left(x - 1\\right)^{9} + \\mathcal{O}\\left(\\left(x - 1\\right)^{10}; x\\rightarrow1\\right)$$" - ], - "text/plain": [ - " 2 3 4 5 6\n", - " ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) \n", - "ℯ + ℯ⋅(x - 1) + ────────── + ────────── + ────────── + ────────── + ──────────\n", - " 2 6 24 120 720 \n", - "\n", - " 7 8 9 \n", - " ℯ⋅(x - 1) ℯ⋅(x - 1) ℯ⋅(x - 1) ⎛ 10 ⎞\n", - " + ────────── + ────────── + ────────── + O⎝(x - 1) ; x → 1⎠\n", - " 5040 40320 362880 " - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "series(exp(x), x, 1, 10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The series expansion includes the order of the approximation, which is very useful for keeping track of the order of validity when we do calculations with series expansions of different order:" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$1 - \\frac{x^{2}}{2} + \\frac{x^{4}}{24} + \\mathcal{O}\\left(x^{5}\\right)$$" - ], - "text/plain": [ - " 2 4 \n", - " x x ⎛ 5⎞\n", - "1 - ── + ── + O⎝x ⎠\n", - " 2 24 " - ] - }, - "execution_count": 74, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s1 = cos(x).series(x, 0, 5)\n", - "s1" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAF8AAAAcBAMAAAD1rn4EAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHarIkSJZt3NVLsy\nme8Q6PJIAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACCUlEQVQ4EY1Sv2tTURT+Xsx7SV5+9FKh0MnX\nCm61obhYB99SHBv8A0wUwbFO6qJDUcShtCiCwcEIuuhglg7i0Afi4CBJ7SDSwS4OTiYiCCLEc867\n971cSfFdOOd833fOx7l5N0DG4+3vZpzUY5dxOpvhnR67jV6Yy2CpdPXQHaw23Pr/HSWVzLxSuJKQ\nf4C7O7P5ULSPaWcdKKb2VGe04G5/GDUI5IdJw+sDOYpJ50hwQWFxi1o8pc9NqvmBYVL9QNM95ysw\nxc1aR0twW24E3DVUqjG4w2oXKPFtespMvH/xkvC+oZah2PeJl3nDrWTg+2hE+CTF9PGVE4HoZkMz\nYlo+oPSZwpk/df4SVT5NBadVWC9uCTOGL3KPWp/ENxQzuBHckwG6YgRPeUM/FG4MO8J6DSoPKC5i\nTT0TCfTacFDqMvPa7Uff2u06wSeKhdecNigUHjOUs9qhMhUIBsyGsxEJlZ+s8gbgh2ROtEHuFQvG\nsMZrZrkVGyp/4j7lXghfLSInd0g2HPtFb7otQ2coP80NMKct9JWanR2ci6nZUBgtr+yFotF3d3+X\nB/mr2kDvcnR++pOmxoC3mxtRPMHffWlu4bqeP+SlTZdqTX5JKtxPISEntCiTasuSnPTfbukpqRyk\nmFChbtFJZNkSi5FFJ5FZS7xmsYnE74/J+e4YOQw+H2tU1RjJCv8Cl4Bl3Hr5MZEAAAAASUVORK5C\nYII=\n", - "text/latex": [ - "$$x + \\mathcal{O}\\left(x^{2}\\right)$$" - ], - "text/plain": [ - " ⎛ 2⎞\n", - "x + O⎝x ⎠" - ] - }, - "execution_count": 75, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s2 = sin(x).series(x, 0, 2)\n", - "s2" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAF8AAAAcBAMAAAD1rn4EAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAEHarIkSJZt3NVLsy\nme8Q6PJIAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACCUlEQVQ4EY1Sv2tTURT+Xsx7SV5+9FKh0MnX\nCm61obhYB99SHBv8A0wUwbFO6qJDUcShtCiCwcEIuuhglg7i0Afi4CBJ7SDSwS4OTiYiCCLEc867\n971cSfFdOOd833fOx7l5N0DG4+3vZpzUY5dxOpvhnR67jV6Yy2CpdPXQHaw23Pr/HSWVzLxSuJKQ\nf4C7O7P5ULSPaWcdKKb2VGe04G5/GDUI5IdJw+sDOYpJ50hwQWFxi1o8pc9NqvmBYVL9QNM95ysw\nxc1aR0twW24E3DVUqjG4w2oXKPFtespMvH/xkvC+oZah2PeJl3nDrWTg+2hE+CTF9PGVE4HoZkMz\nYlo+oPSZwpk/df4SVT5NBadVWC9uCTOGL3KPWp/ENxQzuBHckwG6YgRPeUM/FG4MO8J6DSoPKC5i\nTT0TCfTacFDqMvPa7Uff2u06wSeKhdecNigUHjOUs9qhMhUIBsyGsxEJlZ+s8gbgh2ROtEHuFQvG\nsMZrZrkVGyp/4j7lXghfLSInd0g2HPtFb7otQ2coP80NMKct9JWanR2ci6nZUBgtr+yFotF3d3+X\nB/mr2kDvcnR++pOmxoC3mxtRPMHffWlu4bqeP+SlTZdqTX5JKtxPISEntCiTasuSnPTfbukpqRyk\nmFChbtFJZNkSi5FFJ5FZS7xmsYnE74/J+e4YOQw+H2tU1RjJCv8Cl4Bl3Hr5MZEAAAAASUVORK5C\nYII=\n", - "text/latex": [ - "$$x + \\mathcal{O}\\left(x^{2}\\right)$$" - ], - "text/plain": [ - " ⎛ 2⎞\n", - "x + O⎝x ⎠" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expand(s1 * s2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If we want to get rid of the order information we can use the `removeO` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$\\frac{x^{5}}{24} - \\frac{x^{3}}{2} + x$$" - ], - "text/plain": [ - " 5 3 \n", - "x x \n", - "── - ── + x\n", - "24 2 " - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "expand(s1.removeO() * s2.removeO())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But note that this is not the correct expansion of $\\cos(x)\\sin(x)$ to $5$th order:" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$x - \\frac{2 x^{3}}{3} + \\frac{2 x^{5}}{15} + \\mathcal{O}\\left(x^{6}\\right)$$" - ], - "text/plain": [ - " 3 5 \n", - " 2⋅x 2⋅x ⎛ 6⎞\n", - "x - ──── + ──── + O⎝x ⎠\n", - " 3 15 " - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(cos(x)*sin(x)).series(x, 0, 6)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Linear algebra" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Matrices" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Matrices are defined using the `Matrix` class:" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "m11, m12, m21, m22 = symbols(\"m11, m12, m21, m22\")\n", - "b1, b2 = symbols(\"b1, b2\")" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAGgAAAAyBAMAAABCJ4MDAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nt/sAAAAASUVORK5CYII=\n", - "text/latex": [ - "$$\\left[\\begin{matrix}m_{11} & m_{12}\\\\m_{21} & m_{22}\\end{matrix}\\right]$$" - ], - "text/plain": [ - "⎡m₁₁ m₁₂⎤\n", - "⎢ ⎥\n", - "⎣m₂₁ m₂₂⎦" - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "A = Matrix([[m11, m12],[m21, m22]])\n", - "A" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAB4AAAAyBAMAAAC5cHbcAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMA74lUMhC73c2rRHaZ\nImaqCQggAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVQoFWOQ//+JAQb0/39kEHZxhXEZQlwM\nGUTgPBDDEcRnTSyACYL5DBwTUPn8Bqj89QGofHUYF2IeQ+fuw1ARiPk/AuIvMHiAhMB85q8M/Ao+\n0+F8ngaGeAUGczif4wDDegMkPv8DhvMByPwFrHIMSHzOB2wHkPmsp88BzUKYB+Rg4RuCBCH+BbHu\n1M9G4YPEkOXpyKdLfDAdOwrzHzg+dBlmwPjg+Khl8L8A9T84PqoY7i+A8iHxwWAPTAXg8OMHxwdD\nNUw/JD6YDsD4kPh4A+QihTeXApcDMt/D2AxmHkghg/z//0ASET9gQSL46OkdLT8AAPfcTiuXVltr\nAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$\\left[\\begin{matrix}b_{1}\\\\b_{2}\\end{matrix}\\right]$$" - ], - "text/plain": [ - "⎡b₁⎤\n", - "⎢ ⎥\n", - "⎣b₂⎦" - ] - }, - "execution_count": 81, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "b = Matrix([[b1], [b2]])\n", - "b" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With `Matrix` class instances we can do the usual matrix algebra operations:" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAAzBAMAAAB4eZ5HAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nN3P+AQTjoqnEhDFNAAAAAElFTkSuQmCC\n", - "text/latex": [ - "$$\\left[\\begin{matrix}m_{11}^{2} + m_{12} m_{21} & m_{11} m_{12} + m_{12} m_{22}\\\\m_{11} m_{21} + m_{21} m_{22} & m_{12} m_{21} + m_{22}^{2}\\end{matrix}\\right]$$" - ], - "text/plain": [ - "⎡ 2 ⎤\n", - "⎢ m₁₁ + m₁₂⋅m₂₁ m₁₁⋅m₁₂ + m₁₂⋅m₂₂⎥\n", - "⎢ ⎥\n", - "⎢ 2 ⎥\n", - "⎣m₁₁⋅m₂₁ + m₂₁⋅m₂₂ m₁₂⋅m₂₁ + m₂₂ ⎦" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "A**2" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAJEAAAAyBAMAAACufiRQAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nDbOYk3PHxJxH96vsyH4p/gHeHTH4ApAfnQAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\left[\\begin{matrix}b_{1} m_{11} + b_{2} m_{12}\\\\b_{1} m_{21} + b_{2} m_{22}\\end{matrix}\\right]$$" - ], - "text/plain": [ - "⎡b₁⋅m₁₁ + b₂⋅m₁₂⎤\n", - "⎢ ⎥\n", - "⎣b₁⋅m₂₁ + b₂⋅m₂₂⎦" - ] - }, - "execution_count": 83, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "A * b" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And calculate determinants and inverses, and the like:" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKYAAAAMBAMAAAAaIdvMAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n9AyNtKqM6qgiUQAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$m_{11} m_{22} - m_{12} m_{21}$$" - ], - "text/plain": [ - "m₁₁⋅m₂₂ - m₁₂⋅m₂₁" - ] - }, - "execution_count": 84, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "A.det()" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$\\left[\\begin{matrix}\\frac{1}{m_{11}} + \\frac{m_{12} m_{21}}{m_{11}^{2} \\left(m_{22} - \\frac{m_{12} m_{21}}{m_{11}}\\right)} & - \\frac{m_{12}}{m_{11} \\left(m_{22} - \\frac{m_{12} m_{21}}{m_{11}}\\right)}\\\\- \\frac{m_{21}}{m_{11} \\left(m_{22} - \\frac{m_{12} m_{21}}{m_{11}}\\right)} & \\frac{1}{m_{22} - \\frac{m_{12} m_{21}}{m_{11}}}\\end{matrix}\\right]$$" - ], - "text/plain": [ - "⎡ 1 m₁₂⋅m₂₁ -m₁₂ ⎤\n", - "⎢─── + ──────────────────── ───────────────────⎥\n", - "⎢m₁₁ 2 ⎛ m₁₂⋅m₂₁⎞ ⎛ m₁₂⋅m₂₁⎞⎥\n", - "⎢ m₁₁ ⋅⎜m₂₂ - ───────⎟ m₁₁⋅⎜m₂₂ - ───────⎟⎥\n", - "⎢ ⎝ m₁₁ ⎠ ⎝ m₁₁ ⎠⎥\n", - "⎢ ⎥\n", - "⎢ -m₂₁ 1 ⎥\n", - "⎢ ─────────────────── ───────────── ⎥\n", - "⎢ ⎛ m₁₂⋅m₂₁⎞ m₁₂⋅m₂₁ ⎥\n", - "⎢ m₁₁⋅⎜m₂₂ - ───────⎟ m₂₂ - ─────── ⎥\n", - "⎣ ⎝ m₁₁ ⎠ m₁₁ ⎦" - ] - }, - "execution_count": 85, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "A.inv()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Solving equations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For solving equations and systems of equations we can use the `solve` function:" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAEoAAAAUBAMAAADYerbFAAAALVBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAOrOgAAAADnRSTlMAdt3NMolEEFTvq5lmIsfa\npuIAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAB3SURBVCgVYxAyYSAEDqsxhBFSA5QPQ1bFMR2Ljs4C\nVFVVu55jqGJfvQ5NFQMjpioGBrlBrqpYCQSAgTuYXV9ngBb+6KHKvfLxGgYmdVRVu+ZZHUCNbbB8\nL6oqMA8lTYBFAohRxS5AjCoeLIqA7hJSwSaOIiakBgD0ZimSClhTrgAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\left [ -1, \\quad 1\\right ]$$" - ], - "text/plain": [ - "[-1, 1]" - ] - }, - "execution_count": 86, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solve(x**2 - 1, x)" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$\\left [ - i \\sqrt{- \\frac{1}{2} + \\frac{\\sqrt{5}}{2}}, \\quad i \\sqrt{- \\frac{1}{2} + \\frac{\\sqrt{5}}{2}}, \\quad - \\sqrt{\\frac{1}{2} + \\frac{\\sqrt{5}}{2}}, \\quad \\sqrt{\\frac{1}{2} + \\frac{\\sqrt{5}}{2}}\\right ]$$" - ], - "text/plain": [ - "⎡ _____________ _____________ ___________ ________\n", - "⎢ ╱ ___ ╱ ___ ╱ ___ ╱ _\n", - "⎢ ╱ 1 ╲╱ 5 ╱ 1 ╲╱ 5 ╱ 1 ╲╱ 5 ╱ 1 ╲╱ \n", - "⎢-ⅈ⋅ ╱ - ─ + ───── , ⅈ⋅ ╱ - ─ + ───── , - ╱ ─ + ───── , ╱ ─ + ───\n", - "⎣ ╲╱ 2 2 ╲╱ 2 2 ╲╱ 2 2 ╲╱ 2 2\n", - "\n", - "___⎤\n", - "__ ⎥\n", - "5 ⎥\n", - "── ⎥\n", - " ⎦" - ] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solve(x**4 - x**2 - 1, x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "System of equations:" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAH4AAAAVBAMAAAByPkciAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\n/1sDfgDNr2XH9LJoSQAAAABJRU5ErkJggg==\n", - "text/latex": [ - "$$\\left \\{ x : 1, \\quad y : 0\\right \\}$$" - ], - "text/plain": [ - "{x: 1, y: 0}" - ] - }, - "execution_count": 88, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solve([x + y - 1, x - y - 1], [x,y])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In terms of other symbolic expressions:" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/latex": [ - "$$\\left \\{ x : \\frac{a}{2} + \\frac{c}{2}, \\quad y : \\frac{a}{2} - \\frac{c}{2}\\right \\}$$" - ], - "text/plain": [ - "⎧ a c a c⎫\n", - "⎨x: ─ + ─, y: ─ - ─⎬\n", - "⎩ 2 2 2 2⎭" - ] - }, - "execution_count": 89, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solve([x + y - a, x - y - c], [x,y])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://sympy.org/en/index.html - The SymPy projects web page.\n", - "* https://github.com/sympy/sympy - The source code of SymPy.\n", - "* http://live.sympy.org - Online version of SymPy for testing and demonstrations." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Versions" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "application/json": { - "Software versions": [ - { - "module": "Python", - "version": "2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]" - }, - { - "module": "IPython", - "version": "3.2.1" - }, - { - "module": "OS", - "version": "Darwin 14.1.0 x86_64 i386 64bit" - }, - { - "module": "numpy", - "version": "1.9.2" - }, - { - "module": "matplotlib", - "version": "1.4.3" - }, - { - "module": "sympy", - "version": "0.7.6" - } - ] - }, - "text/html": [ - "
SoftwareVersion
Python2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]
IPython3.2.1
OSDarwin 14.1.0 x86_64 i386 64bit
numpy1.9.2
matplotlib1.4.3
sympy0.7.6
Sat Aug 15 11:37:37 2015 JST
" - ], - "text/latex": [ - "\\begin{tabular}{|l|l|}\\hline\n", - "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", - "Python & 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)] \\\\ \\hline\n", - "IPython & 3.2.1 \\\\ \\hline\n", - "OS & Darwin 14.1.0 x86\\_64 i386 64bit \\\\ \\hline\n", - "numpy & 1.9.2 \\\\ \\hline\n", - "matplotlib & 1.4.3 \\\\ \\hline\n", - "sympy & 0.7.6 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Sat Aug 15 11:37:37 2015 JST} \\\\ \\hline\n", - "\\end{tabular}\n" - ], - "text/plain": [ - "Software versions\n", - "Python 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]\n", - "IPython 3.2.1\n", - "OS Darwin 14.1.0 x86_64 i386 64bit\n", - "numpy 1.9.2\n", - "matplotlib 1.4.3\n", - "sympy 0.7.6\n", - "Sat Aug 15 11:37:37 2015 JST" - ] - }, - "execution_count": 90, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%reload_ext version_information\n", - "\n", - "%version_information numpy, matplotlib, sympy" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 2", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Lecture-6A-Fortran-and-C.ipynb b/Lecture-6A-Fortran-and-C.ipynb deleted file mode 100644 index f653062..0000000 --- a/Lecture-6A-Fortran-and-C.ipynb +++ /dev/null @@ -1,1897 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using Fortran and C code with Python" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "J.R. Johansson (jrjohansson at gmail.com)\n", - "\n", - "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n", - "\n", - "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "source": [ - "%pylab inline\n", - "from IPython.display import Image" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The advantage of Python is that it is flexible and easy to program. The time it takes to setup a new calulation is therefore short. But for certain types of calculations Python (and any other interpreted language) can be very slow. It is particularly iterations over large arrays that is difficult to do efficiently.\n", - "\n", - "Such calculations may be implemented in a compiled language such as C or Fortran. In Python it is relatively easy to call out to libraries with compiled C or Fortran code. In this lecture we will look at how to do that.\n", - "\n", - "But before we go ahead and work on optimizing anything, it is always worthwhile to ask.... " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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dEWOMMWZQXANURgcPHgQRoVOnTi9m8gMAdetK/YAA4D//Aa5dM2w8jDHGmIFx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- "text/plain": [ - "" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Image(filename='images/optimizing-what.png')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Fortran" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### F2PY" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "F2PY is a program that (almost) automatically wraps fortran code for use in Python: By using the `f2py` program we can compile fortran code into a module that we can import in a Python program.\n", - "\n", - "F2PY is a part of NumPy, but you will also need to have a fortran compiler to run the examples below." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 0: scalar input, no output" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting hellofortran.f\n" - ] - } - ], - "source": [ - "%%file hellofortran.f\n", - "C File hellofortran.f\n", - " subroutine hellofortran (n)\n", - " integer n\n", - " \n", - " do 100 i=0, n\n", - " print *, \"Fortran says hello\"\n", - "100 continue\n", - " end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Generate a python module using `f2py`:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[39mrunning build\u001b[0m\n", - "\u001b[39mrunning config_cc\u001b[0m\n", - "\u001b[39munifing config_cc, config, build_clib, build_ext, build commands --compiler options\u001b[0m\n", - "\u001b[39mrunning config_fc\u001b[0m\n", - "\u001b[39munifing config_fc, config, build_clib, build_ext, build commands --fcompiler options\u001b[0m\n", - "\u001b[39mrunning build_src\u001b[0m\n", - "\u001b[39mbuild_src\u001b[0m\n", - "\u001b[39mbuilding extension \"hellofortran\" sources\u001b[0m\n", - "\u001b[39mf2py options: []\u001b[0m\n", - "\u001b[39mf2py:> /tmp/tmpz2IPjB/src.linux-x86_64-2.7/hellofortranmodule.c\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpz2IPjB/src.linux-x86_64-2.7\u001b[0m\n", - "Reading fortran codes...\n", - "\tReading file 'hellofortran.f' (format:fix,strict)\n", - "Post-processing...\n", - "\tBlock: hellofortran\n", - "\t\t\tBlock: hellofortran\n", - "Post-processing (stage 2)...\n", - "Building modules...\n", - "\tBuilding module \"hellofortran\"...\n", - "\t\tConstructing wrapper function \"hellofortran\"...\n", - "\t\t hellofortran(n)\n", - "\tWrote C/API module \"hellofortran\" to file \"/tmp/tmpz2IPjB/src.linux-x86_64-2.7/hellofortranmodule.c\"\n", - "\u001b[39m adding '/tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.c' to sources.\u001b[0m\n", - "\u001b[39m adding '/tmp/tmpz2IPjB/src.linux-x86_64-2.7' to include_dirs.\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.c -> /tmp/tmpz2IPjB/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.h -> /tmp/tmpz2IPjB/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mbuild_src: building npy-pkg config files\u001b[0m\n", - "\u001b[39mrunning build_ext\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler using build_ext\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mFound executable /usr/bin/gfortran\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler using build_ext\u001b[0m\n", - "\u001b[39mbuilding 'hellofortran' extension\u001b[0m\n", - "\u001b[39mcompiling C sources\u001b[0m\n", - "\u001b[39mC compiler: x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC\n", - "\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpz2IPjB/tmp\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpz2IPjB/tmp/tmpz2IPjB\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpz2IPjB/tmp/tmpz2IPjB/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpz2IPjB/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpz2IPjB/src.linux-x86_64-2.7/hellofortranmodule.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpz2IPjB/src.linux-x86_64-2.7/hellofortranmodule.c:17:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.c:2:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "\u001b[39mcompiling Fortran sources\u001b[0m\n", - "\u001b[39mFortran f77 compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran f90 compiler: /usr/bin/gfortran -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran fix compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpz2IPjB/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mgfortran:f77: hellofortran.f\u001b[0m\n", - "\u001b[39m/usr/bin/gfortran -Wall -Wall -shared /tmp/tmpz2IPjB/tmp/tmpz2IPjB/src.linux-x86_64-2.7/hellofortranmodule.o /tmp/tmpz2IPjB/tmp/tmpz2IPjB/src.linux-x86_64-2.7/fortranobject.o /tmp/tmpz2IPjB/hellofortran.o -lgfortran -o ./hellofortran.so\u001b[0m\n", - "Removing build directory /tmp/tmpz2IPjB\n" - ] - } - ], - "source": [ - "!f2py -c -m hellofortran hellofortran.f" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Example of a python script that use the module:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting hello.py\n" - ] - } - ], - "source": [ - "%%file hello.py\n", - "import hellofortran\n", - "\n", - "hellofortran.hellofortran(5)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Fortran says hello\r\n", - " Fortran says hello\r\n", - " Fortran says hello\r\n", - " Fortran says hello\r\n", - " Fortran says hello\r\n", - " Fortran says hello\r\n" - ] - } - ], - "source": [ - "# run the script\n", - "!python hello.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 1: vector input and scalar output" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting dprod.f\n" - ] - } - ], - "source": [ - "%%file dprod.f\n", - "\n", - " subroutine dprod(x, y, n)\n", - " \n", - " double precision x(n), y\n", - " y = 1.0\n", - " \n", - " do 100 i=1, n\n", - " y = y * x(i)\n", - "100 continue\n", - " end" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading fortran codes...\r\n", - "\tReading file 'dprod.f' (format:fix,strict)\r\n", - "Post-processing...\r\n", - "\tBlock: dprod\r\n", - "{}\r\n", - "In: :dprod:dprod.f:dprod\r\n", - "vars2fortran: No typespec for argument \"n\".\r\n", - "\t\t\tBlock: dprod\r\n", - "Post-processing (stage 2)...\r\n", - "Saving signatures to file \"./dprod.pyf\"\r\n" - ] - } - ], - "source": [ - "!rm -f dprod.pyf\n", - "!f2py -m dprod -h dprod.pyf dprod.f" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `f2py` program generated a module declaration file called `dsum.pyf`. Let's look what's in it:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "! -*- f90 -*-\r\n", - "! Note: the context of this file is case sensitive.\r\n", - "\r\n", - "python module dprod ! in \r\n", - " interface ! in :dprod\r\n", - " subroutine dprod(x,y,n) ! in :dprod:dprod.f\r\n", - " double precision dimension(n) :: x\r\n", - " double precision :: y\r\n", - " integer, optional,check(len(x)>=n),depend(x) :: n=len(x)\r\n", - " end subroutine dprod\r\n", - " end interface \r\n", - "end python module dprod\r\n", - "\r\n", - "! This file was auto-generated with f2py (version:2).\r\n", - "! See http://cens.ioc.ee/projects/f2py2e/\r\n" - ] - } - ], - "source": [ - "!cat dprod.pyf" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The module does not know what Fortran subroutine arguments is input and output, so we need to manually edit the module declaration files and mark output variables with `intent(out)` and input variable with `intent(in)`:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting dprod.pyf\n" - ] - } - ], - "source": [ - "%%file dprod.pyf\n", - "python module dprod ! in \n", - " interface ! in :dprod\n", - " subroutine dprod(x,y,n) ! in :dprod:dprod.f\n", - " double precision dimension(n), intent(in) :: x\n", - " double precision, intent(out) :: y\n", - " integer, optional,check(len(x)>=n),depend(x),intent(in) :: n=len(x)\n", - " end subroutine dprod\n", - " end interface \n", - "end python module dprod" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compile the fortran code into a module that can be included in python:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[39mrunning build\u001b[0m\n", - "\u001b[39mrunning config_cc\u001b[0m\n", - "\u001b[39munifing config_cc, config, build_clib, build_ext, build commands --compiler options\u001b[0m\n", - "\u001b[39mrunning config_fc\u001b[0m\n", - "\u001b[39munifing config_fc, config, build_clib, build_ext, build commands --fcompiler options\u001b[0m\n", - "\u001b[39mrunning build_src\u001b[0m\n", - "\u001b[39mbuild_src\u001b[0m\n", - "\u001b[39mbuilding extension \"dprod\" sources\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpWyCvx1/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mf2py options: []\u001b[0m\n", - "\u001b[39mf2py: dprod.pyf\u001b[0m\n", - "Reading fortran codes...\n", - "\tReading file 'dprod.pyf' (format:free)\n", - "Post-processing...\n", - "\tBlock: dprod\n", - "\t\t\tBlock: dprod\n", - "Post-processing (stage 2)...\n", - "Building modules...\n", - "\tBuilding module \"dprod\"...\n", - "\t\tConstructing wrapper function \"dprod\"...\n", - "\t\t y = dprod(x,[n])\n", - "\tWrote C/API module \"dprod\" to file \"/tmp/tmpWyCvx1/src.linux-x86_64-2.7/dprodmodule.c\"\n", - "\u001b[39m adding '/tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.c' to sources.\u001b[0m\n", - "\u001b[39m adding '/tmp/tmpWyCvx1/src.linux-x86_64-2.7' to include_dirs.\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.c -> /tmp/tmpWyCvx1/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.h -> /tmp/tmpWyCvx1/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mbuild_src: building npy-pkg config files\u001b[0m\n", - "\u001b[39mrunning build_ext\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler using build_ext\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mFound executable /usr/bin/gfortran\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler using build_ext\u001b[0m\n", - "\u001b[39mbuilding 'dprod' extension\u001b[0m\n", - "\u001b[39mcompiling C sources\u001b[0m\n", - "\u001b[39mC compiler: x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC\n", - "\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpWyCvx1/tmp\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpWyCvx1/tmp/tmpWyCvx1\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpWyCvx1/tmp/tmpWyCvx1/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpWyCvx1/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpWyCvx1/src.linux-x86_64-2.7/dprodmodule.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpWyCvx1/src.linux-x86_64-2.7/dprodmodule.c:18:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "/tmp/tmpWyCvx1/src.linux-x86_64-2.7/dprodmodule.c:111:12: warning: ‘f2py_size’ defined but not used [-Wunused-function]\n", - " static int f2py_size(PyArrayObject* var, ...)\n", - " ^\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.c:2:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "\u001b[39mcompiling Fortran sources\u001b[0m\n", - "\u001b[39mFortran f77 compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran f90 compiler: /usr/bin/gfortran -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran fix compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpWyCvx1/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mgfortran:f77: dprod.f\u001b[0m\n", - "\u001b[39m/usr/bin/gfortran -Wall -Wall -shared /tmp/tmpWyCvx1/tmp/tmpWyCvx1/src.linux-x86_64-2.7/dprodmodule.o /tmp/tmpWyCvx1/tmp/tmpWyCvx1/src.linux-x86_64-2.7/fortranobject.o /tmp/tmpWyCvx1/dprod.o -lgfortran -o ./dprod.so\u001b[0m\n", - "Removing build directory /tmp/tmpWyCvx1\n" - ] - } - ], - "source": [ - "!f2py -c dprod.pyf dprod.f" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Using the module from Python" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import dprod" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on module dprod:\n", - "\n", - "NAME\n", - " dprod\n", - "\n", - "FILE\n", - " /home/rob/Desktop/scientific-python-lectures/dprod.so\n", - "\n", - "DESCRIPTION\n", - " This module 'dprod' is auto-generated with f2py (version:2).\n", - " Functions:\n", - " y = dprod(x,n=len(x))\n", - " .\n", - "\n", - "DATA\n", - " __version__ = '$Revision: $'\n", - " dprod = \n", - "\n", - "VERSION\n", - "\n", - "\n", - "\n" - ] - } - ], - "source": [ - "help(dprod)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "6.082818640342675e+62" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dprod.dprod(arange(1,50))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "6.0828186403426752e+62" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# compare to numpy\n", - "prod(arange(1.0,50.0))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "120.0" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dprod.dprod(arange(1,10), 5) # only the 5 first elements" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compare performance:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "xvec = rand(500)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000000 loops, best of 3: 882 ns per loop\n" - ] - } - ], - "source": [ - "timeit dprod.dprod(xvec)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100000 loops, best of 3: 4.45 µs per loop\n" - ] - } - ], - "source": [ - "timeit xvec.prod()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 2: cummulative sum, vector input and vector output" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The cummulative sum function for an array of data is a good example of a loop intense algorithm: Loop through a vector and store the cummulative sum in another vector." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# simple python algorithm: example of a SLOW implementation\n", - "# Why? Because the loop is implemented in python.\n", - "def py_dcumsum(a):\n", - " b = empty_like(a)\n", - " b[0] = a[0]\n", - " for n in range(1,len(a)):\n", - " b[n] = b[n-1]+a[n]\n", - " return b" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Fortran subroutine for the same thing: here we have added the `intent(in)` and `intent(out)` as comment lines in the original fortran code, so we do not need to manually edit the fortran module declaration file generated by `f2py`. " - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting dcumsum.f\n" - ] - } - ], - "source": [ - "%%file dcumsum.f\n", - "c File dcumsum.f\n", - " subroutine dcumsum(a, b, n)\n", - " double precision a(n)\n", - " double precision b(n)\n", - " integer n\n", - "cf2py intent(in) :: a\n", - "cf2py intent(out) :: b\n", - "cf2py intent(hide) :: n\n", - "\n", - " b(1) = a(1)\n", - " do 100 i=2, n\n", - " b(i) = b(i-1) + a(i)\n", - "100 continue\n", - " end" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can directly compile the fortran code to a python module:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[39mrunning build\u001b[0m\n", - "\u001b[39mrunning config_cc\u001b[0m\n", - "\u001b[39munifing config_cc, config, build_clib, build_ext, build commands --compiler options\u001b[0m\n", - "\u001b[39mrunning config_fc\u001b[0m\n", - "\u001b[39munifing config_fc, config, build_clib, build_ext, build commands --fcompiler options\u001b[0m\n", - "\u001b[39mrunning build_src\u001b[0m\n", - "\u001b[39mbuild_src\u001b[0m\n", - "\u001b[39mbuilding extension \"dcumsum\" sources\u001b[0m\n", - "\u001b[39mf2py options: []\u001b[0m\n", - "\u001b[39mf2py:> /tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.c\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpfvrMl6/src.linux-x86_64-2.7\u001b[0m\n", - "Reading fortran codes...\n", - "\tReading file 'dcumsum.f' (format:fix,strict)\n", - "Post-processing...\n", - "\tBlock: dcumsum\n", - "\t\t\tBlock: dcumsum\n", - "Post-processing (stage 2)...\n", - "Building modules...\n", - "\tBuilding module \"dcumsum\"...\n", - "\t\tConstructing wrapper function \"dcumsum\"...\n", - "\t\t b = dcumsum(a)\n", - "\tWrote C/API module \"dcumsum\" to file \"/tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.c\"\n", - "\u001b[39m adding '/tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.c' to sources.\u001b[0m\n", - "\u001b[39m adding '/tmp/tmpfvrMl6/src.linux-x86_64-2.7' to include_dirs.\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.c -> /tmp/tmpfvrMl6/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcopying /usr/lib/python2.7/dist-packages/numpy/f2py/src/fortranobject.h -> /tmp/tmpfvrMl6/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mbuild_src: building npy-pkg config files\u001b[0m\n", - "\u001b[39mrunning build_ext\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler\u001b[0m\n", - "\u001b[39mcustomize UnixCCompiler using build_ext\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mFound executable /usr/bin/gfortran\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler\u001b[0m\n", - "\u001b[39mcustomize Gnu95FCompiler using build_ext\u001b[0m\n", - "\u001b[39mbuilding 'dcumsum' extension\u001b[0m\n", - "\u001b[39mcompiling C sources\u001b[0m\n", - "\u001b[39mC compiler: x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC\n", - "\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpfvrMl6/tmp\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpfvrMl6/tmp/tmpfvrMl6\u001b[0m\n", - "\u001b[39mcreating /tmp/tmpfvrMl6/tmp/tmpfvrMl6/src.linux-x86_64-2.7\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpfvrMl6/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.c:18:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "/tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.c:111:12: warning: ‘f2py_size’ defined but not used [-Wunused-function]\n", - " static int f2py_size(PyArrayObject* var, ...)\n", - " ^\n", - "\u001b[39mx86_64-linux-gnu-gcc: /tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.c\u001b[0m\n", - "In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,\n", - " from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,\n", - " from /tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.h:13,\n", - " from /tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.c:2:\n", - "/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "\u001b[39mcompiling Fortran sources\u001b[0m\n", - "\u001b[39mFortran f77 compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran f90 compiler: /usr/bin/gfortran -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\n", - "Fortran fix compiler: /usr/bin/gfortran -Wall -ffixed-form -fno-second-underscore -Wall -fno-second-underscore -fPIC -O3 -funroll-loops\u001b[0m\n", - "\u001b[39mcompile options: '-I/tmp/tmpfvrMl6/src.linux-x86_64-2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'\u001b[0m\n", - "\u001b[39mgfortran:f77: dcumsum.f\u001b[0m\n", - "\u001b[39m/usr/bin/gfortran -Wall -Wall -shared /tmp/tmpfvrMl6/tmp/tmpfvrMl6/src.linux-x86_64-2.7/dcumsummodule.o /tmp/tmpfvrMl6/tmp/tmpfvrMl6/src.linux-x86_64-2.7/fortranobject.o /tmp/tmpfvrMl6/dcumsum.o -lgfortran -o ./dcumsum.so\u001b[0m\n", - "Removing build directory /tmp/tmpfvrMl6\n" - ] - } - ], - "source": [ - "!f2py -c dcumsum.f -m dcumsum" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import dcumsum" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = array([1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0])" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10., 15., 21., 28., 36.])" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "py_dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10., 15., 21., 28., 36.])" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dcumsum.dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10., 15., 21., 28., 36.])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cumsum(a)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Benchmark the different implementations:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = rand(10000)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100 loops, best of 3: 4.83 ms per loop\n" - ] - } - ], - "source": [ - "timeit py_dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100000 loops, best of 3: 12.2 µs per loop\n" - ] - } - ], - "source": [ - "timeit dcumsum.dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10000 loops, best of 3: 27.4 µs per loop\n" - ] - } - ], - "source": [ - "timeit a.cumsum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "1. http://www.scipy.org/F2py\n", - "1. http://dsnra.jpl.nasa.gov/software/Python/F2PY_tutorial.pdf\n", - "1. http://www.shocksolution.com/2009/09/f2py-binding-fortran-python/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## C" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## ctypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "ctypes is a Python library for calling out to C code. It is not as automatic as `f2py`, and we manually need to load the library and set properties such as the functions return and argument types. On the otherhand we do not need to touch the C code at all. " - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting functions.c\n" - ] - } - ], - "source": [ - "%%file functions.c\n", - "\n", - "#include \n", - "\n", - "void hello(int n);\n", - "\n", - "double dprod(double *x, int n);\n", - "\n", - "void dcumsum(double *a, double *b, int n);\n", - "\n", - "void\n", - "hello(int n)\n", - "{\n", - " int i;\n", - " \n", - " for (i = 0; i < n; i++)\n", - " {\n", - " printf(\"C says hello\\n\");\n", - " }\n", - "}\n", - "\n", - "\n", - "double \n", - "dprod(double *x, int n)\n", - "{\n", - " int i;\n", - " double y = 1.0;\n", - " \n", - " for (i = 0; i < n; i++)\n", - " {\n", - " y *= x[i];\n", - " }\n", - "\n", - " return y;\n", - "}\n", - "\n", - "void\n", - "dcumsum(double *a, double *b, int n)\n", - "{\n", - " int i;\n", - " \n", - " b[0] = a[0];\n", - " for (i = 1; i < n; i++)\n", - " {\n", - " b[i] = a[i] + b[i-1];\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Compile the C file into a shared library:" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!gcc -c -Wall -O2 -Wall -ansi -pedantic -fPIC -o functions.o functions.c\n", - "!gcc -o libfunctions.so -shared functions.o" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The result is a compiled shared library `libfunctions.so`:" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "libfunctions.so: ELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, BuildID[sha1]=d68173ae6a804f703472af96f413b81a189db4b8, not stripped\r\n" - ] - } - ], - "source": [ - "!file libfunctions.so" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we need to write wrapper functions to access the C library: To load the library we use the ctypes package, which included in the Python standard library (with extensions from numpy for passing arrays to C). Then we manually set the types of the argument and return values (no automatic code inspection here!). " - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting functions.py\n" - ] - } - ], - "source": [ - "%%file functions.py\n", - "\n", - "import numpy\n", - "import ctypes\n", - "\n", - "_libfunctions = numpy.ctypeslib.load_library('libfunctions', '.')\n", - "\n", - "_libfunctions.hello.argtypes = [ctypes.c_int]\n", - "_libfunctions.hello.restype = ctypes.c_void_p\n", - "\n", - "_libfunctions.dprod.argtypes = [numpy.ctypeslib.ndpointer(dtype=numpy.float), ctypes.c_int]\n", - "_libfunctions.dprod.restype = ctypes.c_double\n", - "\n", - "_libfunctions.dcumsum.argtypes = [numpy.ctypeslib.ndpointer(dtype=numpy.float), numpy.ctypeslib.ndpointer(dtype=numpy.float), ctypes.c_int]\n", - "_libfunctions.dcumsum.restype = ctypes.c_void_p\n", - "\n", - "def hello(n):\n", - " return _libfunctions.hello(int(n))\n", - "\n", - "def dprod(x, n=None):\n", - " if n is None:\n", - " n = len(x)\n", - " x = numpy.asarray(x, dtype=numpy.float)\n", - " return _libfunctions.dprod(x, int(n))\n", - "\n", - "def dcumsum(a, n):\n", - " a = numpy.asarray(a, dtype=numpy.float)\n", - " b = numpy.empty(len(a), dtype=numpy.float)\n", - " _libfunctions.dcumsum(a, b, int(n))\n", - " return b" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting run_hello_c.py\n" - ] - } - ], - "source": [ - "%%file run_hello_c.py\n", - "\n", - "import functions\n", - "\n", - "functions.hello(3)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "C says hello\r\n", - "C says hello\r\n", - "C says hello\r\n" - ] - } - ], - "source": [ - "!python run_hello_c.py" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import functions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Product function:" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "120.0" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "functions.dprod([1,2,3,4,5]) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cummulative sum:" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = rand(100000)" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "res_c = functions.dcumsum(a, len(a)) " - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "res_fortran = dcumsum.dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0., 0., 0., ..., 0., 0., 0.])" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "res_c - res_fortran" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simple benchmark" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000 loops, best of 3: 286 µs per loop\n" - ] - } - ], - "source": [ - "timeit functions.dcumsum(a, len(a))" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10000 loops, best of 3: 119 µs per loop\n" - ] - } - ], - "source": [ - "timeit dcumsum.dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000 loops, best of 3: 261 µs per loop\n" - ] - } - ], - "source": [ - "timeit a.cumsum()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://docs.python.org/2/library/ctypes.html\n", - "* http://www.scipy.org/Cookbook/Ctypes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cython" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A hybrid between python and C that can be compiled: Basically Python code with type declarations." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting cy_dcumsum.pyx\n" - ] - } - ], - "source": [ - "%%file cy_dcumsum.pyx\n", - "\n", - "cimport numpy\n", - "\n", - "def dcumsum(numpy.ndarray[numpy.float64_t, ndim=1] a, numpy.ndarray[numpy.float64_t, ndim=1] b):\n", - " cdef int i, n = len(a)\n", - " b[0] = a[0]\n", - " for i from 1 <= i < n:\n", - " b[i] = b[i-1] + a[i]\n", - " return b" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A build file for generating C code and compiling it into a Python module." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting setup.py\n" - ] - } - ], - "source": [ - "%%file setup.py\n", - "\n", - "from distutils.core import setup\n", - "from distutils.extension import Extension\n", - "from Cython.Distutils import build_ext\n", - "\n", - "setup(\n", - " cmdclass = {'build_ext': build_ext},\n", - " ext_modules = [Extension(\"cy_dcumsum\", [\"cy_dcumsum.pyx\"])]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "running build_ext\n", - "cythoning cy_dcumsum.pyx to cy_dcumsum.c\n", - "warning: /usr/local/lib/python2.7/dist-packages/Cython/Includes/numpy.pxd:869:17: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.\n", - "warning: /usr/local/lib/python2.7/dist-packages/Cython/Includes/numpy.pxd:869:24: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.\n", - "building 'cy_dcumsum' extension\n", - "x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/include/python2.7 -c cy_dcumsum.c -o build/temp.linux-x86_64-2.7/cy_dcumsum.o\n", - "In file included from /usr/include/python2.7/numpy/ndarraytypes.h:1761:0,\n", - " from /usr/include/python2.7/numpy/ndarrayobject.h:17,\n", - " from /usr/include/python2.7/numpy/arrayobject.h:4,\n", - " from cy_dcumsum.c:352:\n", - "/usr/include/python2.7/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning \"Using deprecated NumPy API, disable it by \" \"#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n", - " #warning \"Using deprecated NumPy API, disable it by \" \\\n", - " ^\n", - "In file included from /usr/include/python2.7/numpy/ndarrayobject.h:26:0,\n", - " from /usr/include/python2.7/numpy/arrayobject.h:4,\n", - " from cy_dcumsum.c:352:\n", - "/usr/include/python2.7/numpy/__multiarray_api.h:1629:1: warning: ‘_import_array’ defined but not used [-Wunused-function]\n", - " _import_array(void)\n", - " ^\n", - "In file included from /usr/include/python2.7/numpy/ufuncobject.h:327:0,\n", - " from cy_dcumsum.c:353:\n", - "/usr/include/python2.7/numpy/__ufunc_api.h:241:1: warning: ‘_import_umath’ defined but not used [-Wunused-function]\n", - " _import_umath(void)\n", - " ^\n", - "x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/cy_dcumsum.o -o /home/rob/Desktop/scientific-python-lectures/cy_dcumsum.so\n" - ] - } - ], - "source": [ - "!python setup.py build_ext --inplace" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import cy_dcumsum" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10.])" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "a = array([1,2,3,4], dtype=float)\n", - "b = empty_like(a)\n", - "cy_dcumsum.dcumsum(a,b)\n", - "b" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0])" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10., 15., 21., 28., 36.])" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "b = empty_like(a)\n", - "cy_dcumsum.dcumsum(a, b)\n", - "b" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1., 3., 6., 10., 15., 21., 28., 36.])" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "py_dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = rand(100000)\n", - "b = empty_like(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10 loops, best of 3: 50.1 ms per loop\n" - ] - } - ], - "source": [ - "timeit py_dcumsum(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000 loops, best of 3: 263 µs per loop\n" - ] - } - ], - "source": [ - "timeit cy_dcumsum.dcumsum(a,b)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Cython in the IPython notebook" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When working with the IPython (especially in the notebook), there is a more convenient way of compiling and loading Cython code. Using the `%%cython` IPython magic (command to IPython), we can simply type the Cython code in a code cell and let IPython take care of the conversion to C code, compilation and loading of the function. To be able to use the `%%cython` magic, we first need to load the extension `cythonmagic`:" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%load_ext cythonmagic" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%cython\n", - "\n", - "cimport numpy\n", - "\n", - "def cy_dcumsum2(numpy.ndarray[numpy.float64_t, ndim=1] a, numpy.ndarray[numpy.float64_t, ndim=1] b):\n", - " cdef int i, n = len(a)\n", - " b[0] = a[0]\n", - " for i from 1 <= i < n:\n", - " b[i] = b[i-1] + a[i]\n", - " return b" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000 loops, best of 3: 265 µs per loop\n" - ] - } - ], - "source": [ - "timeit cy_dcumsum2(a,b)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://cython.org\n", - "* http://docs.cython.org/src/userguide/tutorial.html\n", - "* http://wiki.cython.org/tutorials/numpy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Versions" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "application/json": { - "Software versions": [ - { - "module": "Python", - "version": "2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2]" - }, - { - "module": "IPython", - "version": "1.1.0" - }, - { - "module": "OS", - "version": "posix [linux2]" - }, - { - "module": "ctypes", - "version": "1.1.0" - }, - { - "module": "Cython", - "version": "0.20.2" - } - ] - }, - "text/html": [ - "
SoftwareVersion
Python2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2]
IPython1.1.0
OSposix [linux2]
ctypes1.1.0
Cython0.20.2
Tue Aug 26 23:37:29 2014 JST
" - ], - "text/latex": [ - "\\begin{table}\n", - "\\begin{tabular}{|l|l|}\\hline\n", - "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", - "Python & 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] \\\\ \\hline\n", - "IPython & 1.1.0 \\\\ \\hline\n", - "OS & posix [linux2] \\\\ \\hline\n", - "ctypes & 1.1.0 \\\\ \\hline\n", - "Cython & 0.20.2 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Tue Aug 26 23:37:29 2014 JST} \\\\ \\hline\n", - "\\end{tabular}\n", - "\\end{table}\n" - ], - "text/plain": [ - "Software versions\n", - "Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2]\n", - "IPython 1.1.0\n", - "OS posix [linux2]\n", - "ctypes 1.1.0\n", - "Cython 0.20.2\n", - "\n", - "Tue Aug 26 23:37:29 2014 JST" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%reload_ext version_information\n", - "\n", - "%version_information ctypes, Cython" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 2", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Lecture-6B-HPC.ipynb b/Lecture-6B-HPC.ipynb deleted file mode 100644 index a5ad6c2..0000000 --- a/Lecture-6B-HPC.ipynb +++ /dev/null @@ -1,1692 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Lecture 6B - Tools for high-performance computing applications" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "J.R. Johansson (jrjohansson at gmail.com)\n", - "\n", - "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n", - "\n", - "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## multiprocessing" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Python has a built-in process-based library for concurrent computing, called `multiprocessing`. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "import multiprocessing\n", - "import os\n", - "import time\n", - "import numpy" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "def task(args):\n", - " print(\"PID =\", os.getpid(), \", args =\", args)\n", - " \n", - " return os.getpid(), args" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PID = 28995 , args = test\n" - ] - }, - { - "data": { - "text/plain": [ - "(28995, 'test')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "task(\"test\")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "pool = multiprocessing.Pool(processes=4)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PID = 29006 , args = 1\n", - "PID = 29009 , args = 4\n", - "PID = 29007 , args = 2\n", - "PID = 29008 , args = 3\n", - "PID = 29006 , args = 6\n", - "PID = 29009 , args = 5\n", - "PID = 29007 , args = 8\n", - "PID = 29008 , args = 7\n" - ] - } - ], - "source": [ - "result = pool.map(task, [1,2,3,4,5,6,7,8])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[(29006, 1),\n", - " (29007, 2),\n", - " (29008, 3),\n", - " (29009, 4),\n", - " (29009, 5),\n", - " (29006, 6),\n", - " (29008, 7),\n", - " (29007, 8)]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The multiprocessing package is very useful for highly parallel tasks that do not need to communicate with each other, other than when sending the initial data to the pool of processes and when and collecting the results. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## IPython parallel" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "IPython includes a very interesting and versatile parallel computing environment, which is very easy to use. It builds on the concept of ipython engines and controllers, that one can connect to and submit tasks to. To get started using this framework for parallel computing, one first have to start up an IPython cluster of engines. The easiest way to do this is to use the `ipcluster` command,\n", - "\n", - " $ ipcluster start -n 4\n", - "\n", - "Or, alternatively, from the \"Clusters\" tab on the IPython notebook dashboard page. This will start 4 IPython engines on the current host, which is useful for multicore systems. It is also possible to setup IPython clusters that spans over many nodes in a computing cluster. For more information about possible use cases, see the official documentation [Using IPython for parallel computing](http://ipython.org/ipython-doc/dev/parallel/).\n", - "\n", - "To use the IPython cluster in our Python programs or notebooks, we start by creating an instance of `IPython.parallel.Client`:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from IPython.parallel import Client" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "cli = Client()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using the 'ids' attribute we can retreive a list of ids for the IPython engines in the cluster:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[0, 1, 2, 3]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cli.ids" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Each of these engines are ready to execute tasks. We can selectively run code on individual engines:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "def getpid():\n", - " \"\"\" return the unique ID of the current process \"\"\"\n", - " import os\n", - " return os.getpid()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "28995" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# first try it on the notebook process\n", - "getpid()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "30181" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# run it on one of the engines\n", - "cli[0].apply_sync(getpid)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[30181, 30182, 30183, 30185]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# run it on ALL of the engines at the same time\n", - "cli[:].apply_sync(getpid)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can use this cluster of IPython engines to execute tasks in parallel. The easiest way to dispatch a function to different engines is to define the function with the decorator:\n", - "\n", - " @view.parallel(block=True)\n", - "\n", - "Here, `view` is supposed to be the engine pool which we want to dispatch the function (task). Once our function is defined this way we can dispatch it to the engine using the `map` method in the resulting class (in Python, a decorator is a language construct which automatically wraps the function into another function or a class).\n", - "\n", - "To see how all this works, lets look at an example:" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "dview = cli[:]" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "@dview.parallel(block=True)\n", - "def dummy_task(delay):\n", - " \"\"\" a dummy task that takes 'delay' seconds to finish \"\"\"\n", - " import os, time\n", - "\n", - " t0 = time.time()\n", - " pid = os.getpid()\n", - " time.sleep(delay)\n", - " t1 = time.time()\n", - " \n", - " return [pid, t0, t1]" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# generate random delay times for dummy tasks\n", - "delay_times = numpy.random.rand(4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, to map the function `dummy_task` to the random delay time data, we use the `map` method in `dummy_task`:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[[30181, 1395044753.2096598, 1395044753.9150908],\n", - " [30182, 1395044753.2084103, 1395044753.4959202],\n", - " [30183, 1395044753.2113762, 1395044753.6453338],\n", - " [30185, 1395044753.2130392, 1395044754.1905618]]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dummy_task.map(delay_times)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's do the same thing again with many more tasks and visualize how these tasks are executed on different IPython engines:" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "def visualize_tasks(results):\n", - " res = numpy.array(results)\n", - " fig, ax = plt.subplots(figsize=(10, res.shape[1]))\n", - " \n", - " yticks = []\n", - " yticklabels = []\n", - " tmin = min(res[:,1])\n", - " for n, pid in enumerate(numpy.unique(res[:,0])):\n", - " yticks.append(n)\n", - " yticklabels.append(\"%d\" % pid)\n", - " for m in numpy.where(res[:,0] == pid)[0]:\n", - " ax.add_patch(plt.Rectangle((res[m,1] - tmin, n-0.25),\n", - " res[m,2] - res[m,1], 0.5, color=\"green\", alpha=0.5))\n", - " \n", - " ax.set_ylim(-.5, n+.5)\n", - " ax.set_xlim(0, max(res[:,2]) - tmin + 0.)\n", - " ax.set_yticks(yticks)\n", - " ax.set_yticklabels(yticklabels)\n", - " ax.set_ylabel(\"PID\")\n", - " ax.set_xlabel(\"seconds\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "delay_times = numpy.random.rand(64)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "result = dummy_task.map(delay_times)\n", - "visualize_tasks(result)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "That's a nice and easy parallelization! We can see that we utilize all four engines quite well.\n", - "\n", - "But one short coming so far is that the tasks are not load balanced, so one engine might be idle while others still have more tasks to work on.\n", - "\n", - "However, the IPython parallel environment provides a number of alternative \"views\" of the engine cluster, and there is a view that provides load balancing as well (above we have used the \"direct view\", which is why we called it \"dview\").\n", - "\n", - "To obtain a load balanced view we simply use the `load_balanced_view` method in the engine cluster client instance `cli`:" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "lbview = cli.load_balanced_view()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "@lbview.parallel(block=True)\n", - "def dummy_task_load_balanced(delay):\n", - " \"\"\" a dummy task that takes 'delay' seconds to finish \"\"\"\n", - " import os, time\n", - "\n", - " t0 = time.time()\n", - " pid = os.getpid()\n", - " time.sleep(delay)\n", - " t1 = time.time()\n", - " \n", - " return [pid, t0, t1]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "result = dummy_task_load_balanced.map(delay_times)\n", - "visualize_tasks(result)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the example above we can see that the engine cluster is a bit more efficiently used, and the time to completion is shorter than in the previous example." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are many other ways to use the IPython parallel environment. The official documentation has a nice guide:\n", - "\n", - "* http://ipython.org/ipython-doc/dev/parallel/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MPI" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When more communication between processes is required, sophisticated solutions such as MPI and OpenMP are often needed. MPI is process based parallel processing library/protocol, and can be used in Python programs through the `mpi4py` package:\n", - "\n", - "http://mpi4py.scipy.org/\n", - "\n", - "To use the `mpi4py` package we include `MPI` from `mpi4py`:\n", - "\n", - " from mpi4py import MPI\n", - "\n", - "A MPI python program must be started using the `mpirun -n N` command, where `N` is the number of processes that should be included in the process group.\n", - "\n", - "Note that the IPython parallel enviroment also has support for MPI, but to begin with we will use `mpi4py` and the `mpirun` in the follow examples." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 1" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting mpitest.py\n" - ] - } - ], - "source": [ - "%%file mpitest.py\n", - "\n", - "from mpi4py import MPI\n", - "\n", - "comm = MPI.COMM_WORLD\n", - "rank = comm.Get_rank()\n", - "\n", - "if rank == 0:\n", - " data = [1.0, 2.0, 3.0, 4.0]\n", - " comm.send(data, dest=1, tag=11)\n", - "elif rank == 1:\n", - " data = comm.recv(source=0, tag=11)\n", - " \n", - "print \"rank =\", rank, \", data =\", data" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rank = 0 , data = [1.0, 2.0, 3.0, 4.0]\r\n", - "rank = 1 , data = [1.0, 2.0, 3.0, 4.0]\r\n" - ] - } - ], - "source": [ - "!mpirun -n 2 python mpitest.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Send a numpy array from one process to another:" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting mpi-numpy-array.py\n" - ] - } - ], - "source": [ - "%%file mpi-numpy-array.py\n", - "\n", - "from mpi4py import MPI\n", - "import numpy\n", - "\n", - "comm = MPI.COMM_WORLD\n", - "rank = comm.Get_rank()\n", - "\n", - "if rank == 0:\n", - " data = numpy.random.rand(10)\n", - " comm.Send(data, dest=1, tag=13)\n", - "elif rank == 1:\n", - " data = numpy.empty(10, dtype=numpy.float64)\n", - " comm.Recv(data, source=0, tag=13)\n", - " \n", - "print \"rank =\", rank, \", data =\", data" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rank = 0 , data = [ 0.71397658 0.37182268 0.25863587 0.08007216 0.50832534 0.80038331\r\n", - " 0.90613024 0.99535428 0.11717776 0.48353805]\r\n", - "rank = 1 , data = [ 0.71397658 0.37182268 0.25863587 0.08007216 0.50832534 0.80038331\r\n", - " 0.90613024 0.99535428 0.11717776 0.48353805]\r\n" - ] - } - ], - "source": [ - "!mpirun -n 2 python mpi-numpy-array.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 3: Matrix-vector multiplication" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# prepare some random data\n", - "N = 16\n", - "A = numpy.random.rand(N, N)\n", - "numpy.save(\"random-matrix.npy\", A)\n", - "x = numpy.random.rand(N)\n", - "numpy.save(\"random-vector.npy\", x)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting mpi-matrix-vector.py\n" - ] - } - ], - "source": [ - "%%file mpi-matrix-vector.py\n", - "\n", - "from mpi4py import MPI\n", - "import numpy\n", - "\n", - "comm = MPI.COMM_WORLD\n", - "rank = comm.Get_rank()\n", - "p = comm.Get_size()\n", - "\n", - "def matvec(comm, A, x):\n", - " m = A.shape[0] / p\n", - " y_part = numpy.dot(A[rank * m:(rank+1)*m], x)\n", - " y = numpy.zeros_like(x)\n", - " comm.Allgather([y_part, MPI.DOUBLE], [y, MPI.DOUBLE])\n", - " return y\n", - "\n", - "A = numpy.load(\"random-matrix.npy\")\n", - "x = numpy.load(\"random-vector.npy\")\n", - "y_mpi = matvec(comm, A, x)\n", - "\n", - "if rank == 0:\n", - " y = numpy.dot(A, x)\n", - " print(y_mpi)\n", - " print \"sum(y - y_mpi) =\", (y - y_mpi).sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 6.40342716 3.62421625 3.42334637 3.99854639 4.95852419 6.13378754\r\n", - " 5.33319708 5.42803442 5.12403754 4.87891654 2.38660728 6.72030412\r\n", - " 4.05218475 3.37415974 3.90903001 5.82330226]\r\n", - "sum(y - y_mpi) = 0.0\r\n" - ] - } - ], - "source": [ - "!mpirun -n 4 python mpi-matrix-vector.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example 4: Sum of the elements in a vector" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# prepare some random data\n", - "N = 128\n", - "a = numpy.random.rand(N)\n", - "numpy.save(\"random-vector.npy\", a)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting mpi-psum.py\n" - ] - } - ], - "source": [ - "%%file mpi-psum.py\n", - "\n", - "from mpi4py import MPI\n", - "import numpy as np\n", - "\n", - "def psum(a):\n", - " r = MPI.COMM_WORLD.Get_rank()\n", - " size = MPI.COMM_WORLD.Get_size()\n", - " m = len(a) / size\n", - " locsum = np.sum(a[r*m:(r+1)*m])\n", - " rcvBuf = np.array(0.0, 'd')\n", - " MPI.COMM_WORLD.Allreduce([locsum, MPI.DOUBLE], [rcvBuf, MPI.DOUBLE], op=MPI.SUM)\n", - " return rcvBuf\n", - "\n", - "a = np.load(\"random-vector.npy\")\n", - "s = psum(a)\n", - "\n", - "if MPI.COMM_WORLD.Get_rank() == 0:\n", - " print \"sum =\", s, \", numpy sum =\", a.sum()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "sum = 64.948311241 , numpy sum = 64.948311241\r\n" - ] - } - ], - "source": [ - "!mpirun -n 4 python mpi-psum.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://mpi4py.scipy.org\n", - "\n", - "* http://mpi4py.scipy.org/docs/usrman/tutorial.html\n", - "\n", - "* https://computing.llnl.gov/tutorials/mpi/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## OpenMP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "What about OpenMP? OpenMP is a standard and widely used thread-based parallel API that unfortunaltely is **not** useful directly in Python. The reason is that the CPython implementation use a global interpreter lock, making it impossible to simultaneously run several Python threads. Threads are therefore not useful for parallel computing in Python, unless it is only used to wrap compiled code that do the OpenMP parallelization (Numpy can do something like that). \n", - "\n", - "This is clearly a limitation in the Python interpreter, and as a consequence all parallelization in Python must use processes (not threads).\n", - "\n", - "However, there is a way around this that is not that painful. When calling out to compiled code the GIL is released, and it is possible to write Python-like code in Cython where we can selectively release the GIL and do OpenMP computations. " - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This system has 12 cores\n" - ] - } - ], - "source": [ - "N_core = multiprocessing.cpu_count()\n", - "\n", - "print(\"This system has %d cores\" % N_core)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here is a simple example that shows how OpenMP can be used via cython:" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%load_ext cythonmagic" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%cython -f -c-fopenmp --link-args=-fopenmp -c-g\n", - "\n", - "cimport cython\n", - "cimport numpy\n", - "from cython.parallel import prange, parallel\n", - "cimport openmp\n", - "\n", - "def cy_openmp_test():\n", - "\n", - " cdef int n, N\n", - "\n", - " # release GIL so that we can use OpenMP\n", - " with nogil, parallel():\n", - " N = openmp.omp_get_num_threads()\n", - " n = openmp.omp_get_thread_num()\n", - " with gil:\n", - " print(\"Number of threads %d: thread number %d\" % (N, n))" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of threads 12: thread number 0\n", - "Number of threads 12: thread number 10\n", - "Number of threads 12: thread number 8\n", - "Number of threads 12: thread number 4\n", - "Number of threads 12: thread number 7\n", - "Number of threads 12: thread number 3\n", - "Number of threads 12: thread number 2\n", - "Number of threads 12: thread number 1\n", - "Number of threads 12: thread number 11\n", - "Number of threads 12: thread number 9\n", - "Number of threads 12: thread number 5\n", - "Number of threads 12: thread number 6\n" - ] - } - ], - "source": [ - "cy_openmp_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example: matrix vector multiplication" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# prepare some random data\n", - "N = 4 * N_core\n", - "\n", - "M = numpy.random.rand(N, N)\n", - "x = numpy.random.rand(N)\n", - "y = numpy.zeros_like(x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's first look at a simple implementation of matrix-vector multiplication in Cython:" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%cython\n", - "\n", - "cimport cython\n", - "cimport numpy\n", - "import numpy\n", - "\n", - "@cython.boundscheck(False)\n", - "@cython.wraparound(False)\n", - "def cy_matvec(numpy.ndarray[numpy.float64_t, ndim=2] M, \n", - " numpy.ndarray[numpy.float64_t, ndim=1] x, \n", - " numpy.ndarray[numpy.float64_t, ndim=1] y):\n", - "\n", - " cdef int i, j, n = len(x)\n", - "\n", - " for i from 0 <= i < n:\n", - " for j from 0 <= j < n:\n", - " y[i] += M[i, j] * x[j]\n", - " \n", - " return y" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0.])" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# check that we get the same results\n", - "y = numpy.zeros_like(x)\n", - "cy_matvec(M, x, y)\n", - "numpy.dot(M, x) - y" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100000 loops, best of 3: 2.93 µs per loop\n" - ] - } - ], - "source": [ - "%timeit numpy.dot(M, x)" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100000 loops, best of 3: 5.4 µs per loop\n" - ] - } - ], - "source": [ - "%timeit cy_matvec(M, x, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The Cython implementation here is a bit slower than numpy.dot, but not by much, so if we can use multiple cores with OpenMP it should be possible to beat the performance of numpy.dot." - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%%cython -f -c-fopenmp --link-args=-fopenmp -c-g\n", - "\n", - "cimport cython\n", - "cimport numpy\n", - "from cython.parallel import parallel\n", - "cimport openmp\n", - "\n", - "@cython.boundscheck(False)\n", - "@cython.wraparound(False)\n", - "def cy_matvec_omp(numpy.ndarray[numpy.float64_t, ndim=2] M, \n", - " numpy.ndarray[numpy.float64_t, ndim=1] x, \n", - " numpy.ndarray[numpy.float64_t, ndim=1] y):\n", - "\n", - " cdef int i, j, n = len(x), N, r, m\n", - "\n", - " # release GIL, so that we can use OpenMP\n", - " with nogil, parallel():\n", - " N = openmp.omp_get_num_threads()\n", - " r = openmp.omp_get_thread_num()\n", - " m = n / N\n", - " \n", - " for i from 0 <= i < m:\n", - " for j from 0 <= j < n:\n", - " y[r * m + i] += M[r * m + i, j] * x[j]\n", - "\n", - " return y" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0.])" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# check that we get the same results\n", - "y = numpy.zeros_like(x)\n", - "cy_matvec_omp(M, x, y)\n", - "numpy.dot(M, x) - y" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100000 loops, best of 3: 2.95 µs per loop\n" - ] - } - ], - "source": [ - "%timeit numpy.dot(M, x)" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000 loops, best of 3: 209 µs per loop\n" - ] - } - ], - "source": [ - "%timeit cy_matvec_omp(M, x, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, this implementation is much slower than numpy.dot for this problem size, because of overhead associated with OpenMP and threading, etc. But let's look at the how the different implementations compare with larger matrix sizes:" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "N_vec = numpy.arange(25, 2000, 25) * N_core" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "duration_ref = numpy.zeros(len(N_vec))\n", - "duration_cy = numpy.zeros(len(N_vec))\n", - "duration_cy_omp = numpy.zeros(len(N_vec))\n", - "\n", - "for idx, N in enumerate(N_vec):\n", - " \n", - " M = numpy.random.rand(N, N)\n", - " x = numpy.random.rand(N)\n", - " y = numpy.zeros_like(x)\n", - " \n", - " t0 = time.time()\n", - " numpy.dot(M, x)\n", - " duration_ref[idx] = time.time() - t0\n", - " \n", - " t0 = time.time()\n", - " cy_matvec(M, x, y)\n", - " duration_cy[idx] = time.time() - t0\n", - " \n", - " t0 = time.time()\n", - " cy_matvec_omp(M, x, y)\n", - " duration_cy_omp[idx] = time.time() - t0" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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bLtkA//r+uGZwtWm8W7dg6VKjPXvevLBkCeTIYafFijhQXJ1uf39/c6uXNGjQ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\n/axdC76+MHKkkVZSqZLRbVI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cwX2Ey5eNrIrVqyHjY2/pOIHYWGOb/s4dI9H8+edtG+/1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\nbzdoYOpgNm5M3juFH36AfPlSH6+ISBpIbd6Z5F/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s5JIlbmrece2aOVhZt66ZD+9O331n\n+hdmzWr+W6GCeePloSV6IiKStIiICCIiIhg2bJi9SXfVqlX55ptvaN68ObVr1yZ//vwMHDiQo0eP\npnhRd9FOt3iNxETYudMk4J99Zg4Nvvii01GlypYzW2gf0p4K+Sowsf5EHs12D3XSiYnQoIFpxThy\n5N8+9cIFs6udLZvJz916dvvCBahSxfTvfu0191zzxnb8wIHQp4+mnIqI+Bjbd7q3b99OyZIluXz5\nMoMHD+bKlSsMGDCA5557LsWLuouSbvFKmzeb5tIffWQODnqZa9evMWT9EL7Y/wWT6k/i5VIv3/uL\nx441IyM3bPiLptq37NgBL79s8uGgIMiUKfVx3+HwYdP/+ssvk9xx/1u//mp6F+7aZU53PvOM20IU\nERHPYXvS7cmUdIvXOnzY7HT36GEOFHpJz+9tZ7fRPqQ9ZfKUYUqDKeT+R+57f/G335qveft2KFz4\nrk/7/HNz3nH6dFONY6v1602Nd2Rkykp+Nm0yTcJffNG8oVCdtoiIz7I96d6xYwfvv/8+UVFRuFyu\nm4vu27cvxYu6i5Ju8WrnzplkrU4dk7B5cDlCnCuOoIggZu2ZxSf1P6FF6WSeZoyONvXNI0dCy5Z/\n+ZT4eFOVsW6dqd9Os3kws2ebDipbt5rhSPfC5TJfy7Rp8Omn5rCsiIj4NNuT7mLFivHRRx9RpkwZ\nMv4hKXjiiSdSvKi7KOkWr/fLLyZhK1DAJH9Zsjgd0R12nt/Ja0tfo/gjxZnacCp5s6egDWL79qZG\nZObMv/z0Dz9A8+Ym550714HOeYMHw9q15tcDD/z9c28clsye3fQYz5cvbWIUERFHpUnLwE2bNqV4\nATsp6RafEBtrkrhffzUjFj2kV3OcK44RG0YwY9cMPq73Ma3KtCJDSspggoNh2DBT8/yPf9zx6c2b\nzYHJN94wkyYd2fC3LPP/ICHB1GXfLQgdlhQRSbdsT7rDw8NZsGABderUuTmZMkOGDDRr1izFi7qL\nkm7xGQkJpr5761bT5/uxxxwNZ9cPu2i/tD2FHyrMtIbTyJcjhbu5p07Bv/4F4eF3zGu3LFOZMWQI\nzJplhno6KjbWlPrUqAHvv3/753RYUkQk3Utt3pnkTLc5c+Zw9OhRXC7XbeUlnpB0i/iMTJlgyhQz\narFaNTNYp2jRNA8jPiGe9795nyk7pjCu3jjalm2bst1tME22W7c229d/SrhdLujVy5xf3LTJkS/1\nTlmzmpaOVaqYaZGdOpnHbxyWrF/fHAbVYUkREUmBJJPunTt3cuTIkZT/wysi9yZDBnjvPbPLXaOG\nGahTqVKaLb/17Fbe/PpNCuYsyJ4395A/R/7UXXDIEDNtsnfv2x7+9VdTTpIxI2zZ4jHVNMajj8KK\nFeDnZ+rst241hyWnT4fGjZ2OTkREvFiSSXfVqlU5dOgQpUuXTot4RKRzZ8iTxwyRmTfP9iE6F2Iu\n8O6ad1l1YhWj645O3e72DWvXmhORu3ff1g7xu++gUSMzEHL8eDON3eMUKwb//a+ZWFmzpvkadFhS\nRERSKcma7hIlSnDy5EkKFy5Mlt87K6hloEgasHmIjivRxbSd0xgWOYzApwMZ6j+UnFncsO188aIp\nJ5k1yySuv9uyxQy8GTgQevZM/TK2+/57KFhQhyVFRARIg4OUUVFRf/m4WgaKpIEbQ3S6d4f+/d02\nRGfj9xvpvrI7jzzwCBPrT6R0Hjf9JMuyICAASpeGDz+8+fD8+abKZPZss4EvIiLibTSR0nvDF7k3\nbhyi80P0DwxYM4CIqAg+qvsRLUq3cO95jU8+MW31Nm6EzJmxLBg+3Gx6L18OZcu6bykREZG0lNq8\nUz83FfF0BQrAhg2mc0abNhAXl+xLXE+4zrgt4yg7tSwFchTgcPfDtCzT0r0J9549ZrLj/PmQOTOx\nsabpR2ioOY+ohFtERNIzj026jxw5QteuXWnRogUz7zLFTiTdeOgh0+v6+nVTn3Hlyj2/dP136yn/\naXnCToaxqeMmPqjzAdkzZ3dvfDExpj3g+PHw1FNcuAC1a5vWgOvXO952XERExHEeX16SmJhIq1at\nWLhw4R2fU3mJpDsJCeYU4pYtSQ7ROXvlLG+Hv82Ws1sYX288L5V4yb7Wn6+/bnbg587l0CHToaRt\nWzOIUucQRUTEF3h8eUnHjh3JmzcvZf/0s+VVq1ZRokQJihYtyod/OHD1R8uXL6dhw4a0atXK7jBF\nvEOmTDB5smkDUrUqHDt2x1PiE+L5cOOHPDPtGYo+XJTD3Q/TrGQz+xLuhQshIgImTyY8HPz9TbI9\nYoQSbhERkRts3+n+5ptvyJ49O4GBgezfvx+AhIQEihcvzpo1ayhQoACVKlVi/vz57Ny5k127dtG/\nf3/y5781mKNJkyaEhITcGbx2uiU9++wzGDz4tiE64SfD6Rnak6IPF+XjFz+myMNF7I0hKgoqV4aV\nK5m6oyLDh5sW19Wr27usiIhIWrN9DHxq+fn53dF2cPv27RQpUuRm28FWrVoREhLCu+++S7vf+xFH\nRkayePFiYmNjqVWrlt1hinifzp0hb15o0ICfpn5Et8Rl7P5hNxNenEBA8QD713e5oG1bEt/qT78v\nKhIWZpqWPPWU/UuLiIh4G0fmwZ07d45ChQrd/LhgwYJs27bttufUrFmTmjVrJnmtoKCgm7/39/fH\n39/fXWGKeLzY+nX5cthL1O/QgXY9m/Kf4YfIel/WtFl8+HBcWf7BSxve4lqcKTPPlSttlhYREbFb\nREQEERERbrueI0m3O2tL/5h0i6QnK46toPeq3pTNW5a6a8Jp2qIT5PrErUN07ioigoRpM3jh0d0U\n9cvIpElw//32LikiIpKW/ryZO2zYsFRdz5Gku0CBApw5c+bmx2fOnKFgwYJOhCLidU79coo+q/pw\n5H9HmNRgEi8WedF8YvNmM0Tn/HkYN86+U4yXLhHXsh2dEj6nUefH6NvX/hxfRETE2znSW6BixYoc\nP36cqKgo4uPjWbBgAY0bN07RtYKCgty69S/iqa5dv8bQ9UOpNKMSVQpWYX/X/bcSbjBDdL75Bnbv\nTvEQnSRZFufqd+bz6Ba0mFWffv2UcIuIiG+LiIhwS2WF7d1LWrduTWRkJJcuXSJPnjwMHz6cDh06\nEBoaSp8+fUhISKBTp04MHDgw2ddW9xJJDyzLIuRoCH3D+lIpfyXGvjCWQg8WuvsLYmNNk+zLl2HJ\nEsiZ001xQFjTqRQInUHixi2Uq5zFLdcVERHxBqnNOz1+OM7fUdItvu7YpWP0XtWb05dPM7H+RGo/\nWfveXvjHITorV0K+fKmKIy4ORrTYz1srnyd+3Sby+hVL1fVERES8jccPx7GbykvEF8XExzBo7SCq\nzqxK7cK12fPmnntPuOHWEJ3mzaFatb8conOv/vc/aPj8NbpEtCbbpDFKuEVEJF3xmvISO2mnW3yN\nZVksOrSIt8Lfwu+ffoypO4b8OfIn/cK/M3MmvPcehISYQTbJcPQoNGwI83J247nil8kQ/B8VcYuI\nSLrk8cNxROTeHL54mJ6hPbkQc4Evmn1BjX/WcM+FO3WCPHlM9jx3LtSvf08vW7cOWreG4FeWUGXl\nKpi2Wwm3iIhICnl9eYmIt4uOi6Z/eH9qzK5B4+KN2fXGLvcl3DcEBJid7g4dTOKdhM8+Mwn3lAhe\nAwAAEutJREFU0olnqP3fNyE4GB580L0xiYiIpCNev9MdFBSkSZTilSzLYv6B+QxYPYA6T9bhQNcD\n5M2e174Fq1aF9etNL+8ffoABA+7YuU5IgHffNfn5NxEJFHvzVejTB557zr64REREPJi7JlOqplvE\nAft/2k+P0B5Ex0UzqcEkqhaqmnaLnztnEu/atW8bovPzz9Cxo+k0uHgxPDx5BEREQHi4OZgpIiKS\njqX77iUi3uRy7GV6h/am9tzatCzdkh2v70jbhBtuH6LTujVWbBwLF0KZMlC4sMmxHz68yXQ/mTdP\nCbeIiIgbKOkWSQMJiQlM/3Y6JSaV4Or1qxzsdpBulbqRKaNDCW2uXBAWxtVoF/sKNWDs0CssXgzj\nx0PmmF/McJ0ZMyB/KjuniIiICOADNd0ini4yKpLeq3qTI0sOVrZdSYV8FZwOicREmD47K0O3L+Tr\nwj3ZEl+DjP8MBesx6NIFGjc2hy9FRETELbw+6dZBSvFUpy+fpv/q/mw9u5UxdcfQonQLMnhAy72j\nR+H118HlgvUbMlGq5GR4/30zRKdtWzNIZ948p8MUERHxCDpIiQ5SimeKiY/hw00fMnnHZHpV7kX/\nav3Jdn82p8Pi+nUYM8aUkAwZAt26/alce+ZMePtt2LwZSpZ0LE4RERFPlNq8U0m3iJvcaAH4zpp3\n8Hvcjw/rfEihBws5HRYAO3dC586mRHvaNHj88bs8MSFBBydFRET+giZSiniAned30ntVb2Jdscx/\neT7VH6/udEgAXL1qdrW/+ALGjoU2bZIYKqmEW0RExBZKukVS4cfffmTQ2kGEnghl1POjaP9MezJm\n8IymQGvXmjORVarA/v2QO7fTEYmIiKRfXp906yClOCHOFceEbRMYvWk0Hct35GiPo+TMktPpsAD4\n5Rd46y2TdE+dCg0aOB2RiIiI99JBSlTTLWnPsiyWHV3GW+FvUSp3Kca+MJaijxR1OiwALAu++gp6\n9YLmzWHUKMiRw+moREREfINqukXSyMELB+kT1odzV84xpeEUXnjqBadDuuncOeje3XT7W7QIqqbx\nkEsRERH5e55RfCriwX6+9jM9V/ak1pxaNC7WmL1v7vWYhDsxEaZPh/Ll4ZlnzGR3JdwiIiKeRzvd\nInfhSnTx6c5PGRY5jFdKvcKh7od4NNujTod107Fj5qBkbCysWwdlyjgdkYiIiNyNkm6Rv7D21Fp6\nr+pNnn/kYW3gWsrmLet0SDddv27a/330EQweDD16qNOfiIiIp1PSLfIHJ38+ydur32bvj3sZ+8JY\nmpZo6hGj22/YtQs6dYI8eczAmyeecDoiERERuRdeX9MdFBTkljYukr5Fx0UzcM1A/vXZv6icvzKH\nuh/ipZIveUzCffUqDBgA9etDv36wapUSbhERkbQQERFBUFBQqq+jloGSriVaiczdO5f/W/d/1Hmy\nDv+u/W/y58jvdFi3WbfO1G5Xrgwff2x2uUVERCRtqWWgSAptObOFXqt6kSlDJha3WMy/Cv7L6ZBu\n88sv0L8/hIfDlCnQqJHTEYmIiEhKeX15iUhynb1yllcXv0rz/zanV+VebO602eMS7q++Mt1IsmaF\nAweUcIuIiHg77XRLunHt+jXGbhnL+K3j6VqxK0d7HCV75uxOh3Wb8+dNN5LDh2HhQqhWzemIRERE\nxB200y0+z7IsFh1aRMnJJdnz4x52vr6Tkc+P9KiE27JgxgwoVw5KlzZDbpRwi4iI+A7tdItP2/Pj\nHvqs6sPP135mVpNZ1Cpcy+mQ7nDiBLz+OsTEwNq18PTTTkckIiIi7qadbvFJF2Mu8sbyN6j3RT1a\nlWnFrjd2eVzC7XLB6NHw3HPQuDFs2aKEW0RExFd5/U53UFAQ/v7++Pv7Ox2KeID4hHgmb5/M+xvf\np23ZthzpfoSHHnjI6bDusHu3GXLz6KOwYwcULux0RCIiIvJXIiIi3DITRn26xWeEHg+lb1hfnsj1\nBOPrjadk7pJOh3SH6GgYNQpmzTK73IGB4CHzd0RERORvqE+3pHtH/3eUfuH9OH7pOOPrjadB0QYe\nM0kSIC7OTJAMDjb/DQiAffsgb16nIxMREZG0op1u8VqXYy8zInIEc/bOYWD1gfT8V08yZ8rsdFgA\nJCTAhg0m0V682PTcbtMGmjeHRx5xOjoRERFJLu10S7qTkJjA57s/Z/D6wQQUC+Bgt4Pkze78trFl\nwa5dJtH+8kszrr1NG9izBwoVcjo6ERERcZKSbvEqG05voPeq3mTPnJ2VbVdSIV8Fp0Pi+HGTaAcH\nm44kbdrA6tVQqpTTkYmIiIinUNItXuH05dMMWDOArWe3MrrOaFqUbuFo3fb587BggUm0z5yBli1h\n7lyoXFkHI0VEROROqukWjxYTH8PoTaOZtGMSvSr3on+1/mS7P5sjsVy+DF99ZRLtXbugaVOzq12r\nFtynt68iIiI+TTXd4pMsy2L+gfm8u+Zdqj1ejd1v7ObxBx9P8ziuXYOvvzaJ9rp1UKcOdOsGDRrA\nAw+keTgiIiLipZR0i8fZeX4nvVf1JtYVS/DLwVR/vHqaru9ymQQ7OBhCQuDZZ6FtW9NbO1euNA1F\nREREfITKS8Rj/PjbjwxaO4jQE6GMen4Ur5V7jUwZM6XJ2pYF27aZRHvhQnj8cVM60rIl5MuXJiGI\niIiIB1N5iXi9OFccE7ZNYPSm0XQs35GjPY6SM0vONFn70KFbnUcyZzaJ9jffQNGiabK8iIiIpBNe\nn3QHBQXh7++Pv7+/06FIMlmWxfJjy+kX1o9SuUuxpdMWij5if7b7/femj3ZwMFy8CK1bw6JFUL68\nOo+IiIjI7SIiIoiIiEj1dVReIo44eOEgfcP6cvbKWcbXG0+9IvVsXe9//zOJdXAwHDwIL79sdrX9\n/CBT2lSwiIiIiBdLbd6ppFvS1M/Xfmbo+qF8efBLBtcYTNeKXbk/0/22rPXbb7BsmUm0v/kG6tc3\niXa9epAliy1LioiIiI9STbd4BVeii093fsqwyGE0L9Wcw90P82i2R92+Tnw8hIebRHvlSqha1STa\n8+dDjhxuX05ERETknijpFtttOL2Bbiu6kecfeVgTuIan8z7t1usnJsLGjSbRXrQISpQwifaECZA7\nt1uXEhEREUkRlZeI7UKOhJBgJfBSiZfcNrrdsmDvXpNoz58PDz1kEu1WreCJJ9yyhIiIiMhNqun2\n3vAlBU6eNEl2cDBcvWoS7datoWxZpyMTERERX6ak23vDl3v000+wYIFJtE+dghYtTLJdpYpa/ImI\niEjaUNLtveHL37hyBZYsMYn2tm0QEGBGsdeuDffb0+xERERE5K6UdHtv+PInsbEQGmoS7fBw8Pc3\nO9oBAZAtm9PRiYiISHqmpNt7wxcgIQEiIkyivWQJlCtnEu2XX4aHH3Y6OhERERFDSbf3hp9uWRbs\n3GkS7QULIF8+k2i3bAkFCzodnYiIiMidNBxHvMbRoybRDg42H7dpA+vWmb7aIiIiIr5MSbfYbvFi\nGDUKzp83fbSDg6FiRXUeERERkfRD5SViu02bzCFJf3/IlMnpaERERESSL7V5Z0Y3xuJ2MTExVKpU\niRUrVjgdiqRCtWqm1Z8SbhEREUmvPDrpHj16NC1btnQ6DBH5CxEREU6HIJIu6d4T8U62J90dO3Yk\nb968lP3TnO5Vq1ZRokQJihYtyocffnjH61avXk2pUqXInTu33SGKSAroH34RZ+jeE/FOtifdHTp0\nYNWqVbc9lpCQQI8ePVi1ahWHDh1i/vz5HD58mHnz5tG3b1/Onz9PZGQkW7duJTg4mBkzZqh2+x54\n8l/EaR2bHeu565qpuU5KXpuc13jynyFP5snfN1+499x1XU++91K6Rnrnyd8z3XvuuY4v3Xu2J91+\nfn489NBDtz22fft2ihQpwhNPPMH9999Pq1atCAkJoV27dowfP578+fMzcuRIxo8fT5s2bejSpQsZ\n1OoiSfrLx971nP6LJ6WvVdJtP0/+vvnCveeu63ryvZfSNdI7T/6e6d5zz3V86d5Lk+4lUVFRBAQE\nsH//fgAWLVpEWFgYM2bMAOCLL75g27ZtTJw4MVnXVSIuIiIiImnF64bjuCtZVsmJiIiIiHgDR7qX\nFChQgDNnztz8+MyZMxTU/G8RERER8VGOJN0VK1bk+PHjREVFER8fz4IFC2jcuLEToYiIiIiI2M72\npLt169ZUrVqVY8eOUahQIWbNmsV9993HpEmTqFevHqVKlaJly5aULFnS7lBERERERBzh1WPgRURE\nRES8gUdPpEyukJAQunTpQqtWrVi9erXT4YikG0eOHKFr1660aNGCmTNnOh2OSLoSExNDpUqVWLFi\nhdOhiKQrERER+Pn50bVrVyIjI5N8vk8l3U2aNGH69OlMmzaNBQsWOB2OSLpRokQJpk6dypdffklY\nWJjT4YikK6NHj6Zly5ZOhyGS7mTMmJEcOXIQFxd3Tw1BPD7pTskY+ZEjR9KjR4+0DFPE5yT33lu+\nfDkNGzakVatWaR2qiE9Jzr23evVqSpUqRe7cuZ0IVcTnJOf+8/PzY+XKlXzwwQcMHTo0yWt7fNKd\nnDHylmXxzjvvUL9+fZ555hmHIhbxDcm59wACAgIIDQ1lzpw5ToQr4jOSc+9FRkaydetWgoODmTFj\nhuZXiKRScu6/G3NncuXKRVxcXJLXdmQ4TnL4+fkRFRV122N/HCMP3Bwjv2bNGtauXcuVK1c4ceIE\nb7zxRtoHLOIjknPvXbhwgcWLFxMbG0utWrXSPlgRH5Kce2/kyJEAzJkzh9y5c2tSs0gqJef+O3Lk\nCGFhYVy+fJmePXsmeW2PT7r/yrlz5yhUqNDNjwsWLHhzjPy9fNEikjJ3u/dq1qxJzZo1HYxMxLfd\n7d674bXXXnMiLJF04W7337vvvstLL710z9fx+PKSv6J38iLO0L0n4gzdeyLOcdf955VJt8bIizhD\n956IM3TviTjHXfefVybdGiMv4gzdeyLO0L0n4hx33X8en3RrjLyIM3TviThD956Ic+y8/zQGXkRE\nRETEZh6/0y0iIiIi4u2UdIuIiIiI2ExJt4iIiIiIzZR0i4iIiIjYTEm3iIiIiIjNlHSLiIiIiNhM\nSbeIiIiIiM2UdIuI+IC9e/cSGhp6189/++239O7dO1VrnD9/nldeeSVV1xARSa80HEdExAfMnj2b\nb7/9lokTJ97xOZfLxX333edAVCIicoN2ukVEPEBUVBQlSpSgQ4cOFC9enLZt2xIeHk61atUoVqwY\nO3bsAGD79u1UrVqVChUqUK1aNY4dO0Z8fDxDhgxhwYIFlC9fnoULFxIUFES7du2oXr06gYGBREZG\nEhAQAECfPn0YMWIEAGFhYdSsWfOOeCIjIylfvjzly5enQoUKxMTEEBUVRdmyZQHo3Lnzzc/nyZPn\n5vXGjBlD5cqVKVeuHEFBQWnwnRMR8RKWiIg47rvvvrPuu+8+68CBA1ZiYqL17LPPWh07drQsy7JC\nQkKspk2bWpZlWVeuXLFcLpdlWZa1evVq6+WXX7Ysy7Jmz55t9ezZ8+b1hg4dalWsWNGKjY21LMuy\n1q9fbzVq1MiyLMu6evWqVbp0aWvdunVW8eLFrVOnTt0RT0BAgLV582bLsiwrJibGcrlc1nfffWeV\nKVPmtudFRUVZpUqVsr7//nsrLCzM6tKli2VZlpWQkGA1atTI2rBhg9u+RyIi3kw/bxQR8RCFCxem\ndOnSAJQuXZo6deoAUKZMGaKiogC4fPkygYGBnDhxggwZMuByuQCwLAvrD9WCGTJkoHHjxmTJkuWO\ndR544AFmzJiBn58fEyZMoHDhwnc8p1q1avTt25e2bdvSrFkzChQocMdzYmNjeeWVV5g4cSKFChVi\nwoQJhIeHU758eQBiYmI4ceIEfn5+qfvGiIj4ACXdIiIe4o8JcsaMGcmcOfPN399IrgcPHkzt2rVZ\nsmQJp0+fxt/f/67Xy5Yt210/t2/fPnLnzs25c+f+8vPvvPMOjRo1YsWKFVSrVo2wsLA7Evg333yT\n5s2b8/zzz998bODAgXTp0iXJr1VEJL1RTbeIiBe5cuUK+fPnB2DWrFk3H8+ZMyfR0dH3dI3Tp08z\nbtw4du/eTWhoKNu3b7/jOSdPnqR06dIMGDCASpUqcfTo0ds+P3nyZH777TcGDBhw87F69erx+eef\nExMTA8C5c+e4ePFisr9GERFfpKRbRMRDZMiQ4a4f3/j9gAEDGDhwIBUqVCAhIeHm47Vq1eLQoUM3\nD1L+1etvfNy5c2fGjh3LY489xsyZM+ncuTPx8fG3rT1hwgTKli1LuXLlyJw5M/Xr17/tmmPHjuXA\ngQM3D1NOnz6dunXr0qZNG6pUqcLTTz9NixYt+O2339z5LRIR8VpqGSgiIiIiYjPtdIuIiIiI2ExJ\nt4iIiIiIzZR0i4iIiIjYTEm3iIiIiIjNlHSLiIiIiNhMSbeIiIiIiM2UdIuIiIiI2ExJt4iIiIiI\nzf4fkxKyHOM9bYoAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(12, 6))\n", - "\n", - "ax.loglog(N_vec, duration_ref, label='numpy')\n", - "ax.loglog(N_vec, duration_cy, label='cython')\n", - "ax.loglog(N_vec, duration_cy_omp, label='cython+openmp')\n", - "\n", - "ax.legend(loc=2)\n", - "ax.set_yscale(\"log\")\n", - "ax.set_ylabel(\"matrix-vector multiplication duration\")\n", - "ax.set_xlabel(\"matrix size\");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For large problem sizes the the cython+OpenMP implementation is faster than numpy.dot." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With this simple implementation, the speedup for large problem sizes is about:" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3.0072232987815148" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "((duration_ref / duration_cy_omp)[-10:]).mean()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " Obviously one could do a better job with more effort, since the theoretical limit of the speed-up is:" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "12" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "N_core" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " * http://openmp.org\n", - " * http://docs.cython.org/src/userguide/parallelism.html" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## OpenCL" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "OpenCL is an API for heterogenous computing, for example using GPUs for numerical computations. There is a python package called `pyopencl` that allows OpenCL code to be compiled, loaded and executed on the compute units completely from within Python. This is a nice way to work with OpenCL, because the time-consuming computations should be done on the compute units in compiled code, and in this Python only server as a control language." - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting opencl-dense-mv.py\n" - ] - } - ], - "source": [ - "%%file opencl-dense-mv.py\n", - "\n", - "import pyopencl as cl\n", - "import numpy\n", - "import time\n", - "\n", - "# problem size\n", - "n = 10000\n", - "\n", - "# platform\n", - "platform_list = cl.get_platforms()\n", - "platform = platform_list[0]\n", - "\n", - "# device\n", - "device_list = platform.get_devices()\n", - "device = device_list[0]\n", - "\n", - "if False:\n", - " print(\"Platform name:\" + platform.name)\n", - " print(\"Platform version:\" + platform.version)\n", - " print(\"Device name:\" + device.name)\n", - " print(\"Device type:\" + cl.device_type.to_string(device.type))\n", - " print(\"Device memory: \" + str(device.global_mem_size//1024//1024) + ' MB')\n", - " print(\"Device max clock speed:\" + str(device.max_clock_frequency) + ' MHz')\n", - " print(\"Device compute units:\" + str(device.max_compute_units))\n", - "\n", - "# context\n", - "ctx = cl.Context([device]) # or we can use cl.create_some_context()\n", - "\n", - "# command queue\n", - "queue = cl.CommandQueue(ctx)\n", - "\n", - "# kernel\n", - "KERNEL_CODE = \"\"\"\n", - "//\n", - "// Matrix-vector multiplication: r = m * v\n", - "//\n", - "#define N %(mat_size)d\n", - "__kernel\n", - "void dmv_cl(__global float *m, __global float *v, __global float *r)\n", - "{\n", - " int i, gid = get_global_id(0);\n", - " \n", - " r[gid] = 0;\n", - " for (i = 0; i < N; i++)\n", - " {\n", - " r[gid] += m[gid * N + i] * v[i];\n", - " }\n", - "}\n", - "\"\"\"\n", - "\n", - "kernel_params = {\"mat_size\": n}\n", - "program = cl.Program(ctx, KERNEL_CODE % kernel_params).build()\n", - "\n", - "# data\n", - "A = numpy.random.rand(n, n)\n", - "x = numpy.random.rand(n, 1)\n", - "\n", - "# host buffers\n", - "h_y = numpy.empty(numpy.shape(x)).astype(numpy.float32)\n", - "h_A = numpy.real(A).astype(numpy.float32)\n", - "h_x = numpy.real(x).astype(numpy.float32)\n", - "\n", - "# device buffers\n", - "mf = cl.mem_flags\n", - "d_A_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=h_A)\n", - "d_x_buf = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=h_x)\n", - "d_y_buf = cl.Buffer(ctx, mf.WRITE_ONLY, size=h_y.nbytes)\n", - "\n", - "# execute OpenCL code\n", - "t0 = time.time()\n", - "event = program.dmv_cl(queue, h_y.shape, None, d_A_buf, d_x_buf, d_y_buf)\n", - "event.wait()\n", - "cl.enqueue_copy(queue, h_y, d_y_buf)\n", - "t1 = time.time()\n", - "\n", - "print \"opencl elapsed time =\", (t1-t0)\n", - "\n", - "# Same calculation with numpy\n", - "t0 = time.time()\n", - "y = numpy.dot(h_A, h_x)\n", - "t1 = time.time()\n", - "\n", - "print \"numpy elapsed time =\", (t1-t0)\n", - "\n", - "# see if the results are the same\n", - "print \"max deviation =\", numpy.abs(y-h_y).max()" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/usr/local/lib/python2.7/dist-packages/pyopencl-2012.1-py2.7-linux-x86_64.egg/pyopencl/__init__.py:36: CompilerWarning: Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.\n", - " \"to see more.\", CompilerWarning)\n", - "opencl elapsed time = 0.0188570022583\n", - "numpy elapsed time = 0.0755031108856\n", - "max deviation = 0.0136719\n" - ] - } - ], - "source": [ - "!python opencl-dense-mv.py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://mathema.tician.de/software/pyopencl" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Versions" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "application/json": { - "Software versions": [ - { - "module": "Python", - "version": "3.3.2+ (default, Oct 9 2013, 14:50:09) [GCC 4.8.1]" - }, - { - "module": "IPython", - "version": "2.0.0-b1" - }, - { - "module": "OS", - "version": "posix [linux]" - }, - { - "module": "numpy", - "version": "1.9.0.dev-d4c7c3a" - }, - { - "module": "mpi4py", - "version": "1.3.1" - }, - { - "module": "Cython", - "version": "0.20.post0" - } - ] - }, - "text/html": [ - "
SoftwareVersion
Python3.3.2+ (default, Oct 9 2013, 14:50:09) [GCC 4.8.1]
IPython2.0.0-b1
OSposix [linux]
numpy1.9.0.dev-d4c7c3a
mpi4py1.3.1
Cython0.20.post0
Mon Mar 17 17:32:10 2014 JST
" - ], - "text/latex": [ - "\\begin{tabular}{|l|l|}\\hline\n", - "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", - "Python & 3.3.2+ (default, Oct 9 2013, 14:50:09) [GCC 4.8.1] \\\\ \\hline\n", - "IPython & 2.0.0-b1 \\\\ \\hline\n", - "OS & posix [linux] \\\\ \\hline\n", - "numpy & 1.9.0.dev-d4c7c3a \\\\ \\hline\n", - "mpi4py & 1.3.1 \\\\ \\hline\n", - "Cython & 0.20.post0 \\\\ \\hline\n", - "\\hline \\multicolumn{2}{|l|}{Mon Mar 17 17:32:10 2014 JST} \\\\ \\hline\n", - "\\end{tabular}\n" - ], - "text/plain": [ - "Software versions\n", - "Python 3.3.2+ (default, Oct 9 2013, 14:50:09) [GCC 4.8.1]\n", - "IPython 2.0.0-b1\n", - "OS posix [linux]\n", - "numpy 1.9.0.dev-d4c7c3a\n", - "mpi4py 1.3.1\n", - "Cython 0.20.post0\n", - "\n", - "Mon Mar 17 17:32:10 2014 JST" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%load_ext version_information\n", - "\n", - "%version_information numpy, mpi4py, Cython" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 2", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Lecture-7-Revision-Control-Software.ipynb b/Lecture-7-Revision-Control-Software.ipynb deleted file mode 100644 index 6745efd..0000000 --- a/Lecture-7-Revision-Control-Software.ipynb +++ /dev/null @@ -1,1906 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Revision control software" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "J.R. Johansson (jrjohansson at gmail.com)\n", - "\n", - "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n", - "\n", - "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from IPython.display import Image" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In any software development, one of the most important tools are revision control software (RCS).\n", - "\n", - "They are used in virtually all software development and in all environments, by everyone and everywhere (no kidding!)\n", - "\n", - "RCS can used on almost any digital content, so it is not only restricted to software development, and is also very useful for manuscript files, figures, data and notebooks!\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## There are two main purposes of RCS systems:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "1. Keep track of changes in the source code.\n", - " * Allow reverting back to an older revision if something goes wrong.\n", - " * Work on several \"branches\" of the software concurrently.\n", - " * Tags revisions to keep track of which version of the software that was used for what (for example, \"release-1.0\", \"paper-A-final\", ...)\n", - "2. Make it possible for serveral people to collaboratively work on the same code base simultaneously.\n", - " * Allow many authors to make changes to the code.\n", - " * Clearly communicating and visualizing changes in the code base to everyone involved." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Basic principles and terminology for RCS systems" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In an RCS, the source code or digital content is stored in a **repository**. \n", - "\n", - "* The repository does not only contain the latest version of all files, but the complete history of all changes to the files since they were added to the repository. \n", - "\n", - "* A user can **checkout** the repository, and obtain a local working copy of the files. All changes are made to the files in the local working directory, where files can be added, removed and updated. \n", - "\n", - "* When a task has been completed, the changes to the local files are **commited** (saved to the repository).\n", - "\n", - "* If someone else has been making changes to the same files, a **conflict** can occur. In many cases conflicts can be **resolved** automatically by the system, but in some cases we might manually have to **merge** different changes together.\n", - "\n", - "* It is often useful to create a new **branch** in a repository, or a **fork** or **clone** of an entire repository, when we doing larger experimental development. The main branch in a repository is called often **master** or **trunk**. When work on a branch or fork is completed, it can be merged in to the master branch/repository.\n", - "\n", - "* With distributed RCSs such as GIT or Mercurial, we can **pull** and **push** changesets between different repositories. For example, between a local copy of there repository to a central online reposistory (for example on a community repository host site like github.com)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Some good RCS software" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "1. GIT (`git`) : http://git-scm.com/\n", - "2. Mercurial (`hg`) : http://mercurial.selenic.com/\n", - "\n", - "In the rest of this lecture we will look at `git`, although `hg` is just as good and work in almost exactly the same way." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Installing git" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "On Linux:\n", - " \n", - " $ sudo apt-get install git\n", - "\n", - "On Mac (with macports):\n", - "\n", - " $ sudo port install git\n", - "\n", - "The first time you start to use git, you'll need to configure your author information:\n", - "\n", - " $ git config --global user.name 'Robert Johansson'\n", - " $ git config --global user.email robert@riken.jp" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creating and cloning a repository" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To create a brand new empty repository, we can use the command `git init repository-name`:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reinitialized existing Git repository in /home/rob/Desktop/scientific-python-lectures/gitdemo/.git/\r\n" - ] - } - ], - "source": [ - "# create a new git repository called gitdemo:\n", - "!git init gitdemo" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If we want to fork or clone an existing repository, we can use the command `git clone repository`:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cloning into 'qutip'...\n", - "remote: Counting objects: 7425, done.\n", - "remote: Compressing objects: 100% (2013/2013), done.\n", - "remote: Total 7425 (delta 5386), reused 7420 (delta 5381)\n", - "Receiving objects: 100% (7425/7425), 2.25 MiB | 696 KiB/s, done.\n", - "Resolving deltas: 100% (5386/5386), done.\n" - ] - } - ], - "source": [ - "!git clone https://github.com/qutip/qutip" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Git clone can take a URL to a public repository, like above, or a path to a local directory:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cloning into 'gitdemo2'...\r\n", - "warning: You appear to have cloned an empty repository.\r\n", - "done.\r\n" - ] - } - ], - "source": [ - "!git clone gitdemo gitdemo2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also clone private repositories over secure protocols such as SSH:\n", - "\n", - " $ git clone ssh://myserver.com/myrepository" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using the command `git status` we get a summary of the current status of the working directory. It shows if we have modified, added or removed files." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "#\r\n", - "# Initial commit\r\n", - "#\r\n", - "# Untracked files:\r\n", - "# (use \"git add ...\" to include in what will be committed)\r\n", - "#\r\n", - "#\tLecture-7-Revision-Control-Software.ipynb\r\n", - "nothing added to commit but untracked files present (use \"git add\" to track)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this case, only the current ipython notebook has been added. It is listed as an untracked file, and is therefore not in the repository yet." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Adding files and committing changes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To add a new file to the repository, we first create the file and then use the `git add filename` command:" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing README\n" - ] - } - ], - "source": [ - "%%file README\n", - "\n", - "A file with information about the gitdemo repository." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "#\r\n", - "# Initial commit\r\n", - "#\r\n", - "# Untracked files:\r\n", - "# (use \"git add ...\" to include in what will be committed)\r\n", - "#\r\n", - "#\tLecture-7-Revision-Control-Software.ipynb\r\n", - "#\tREADME\r\n", - "nothing added to commit but untracked files present (use \"git add\" to track)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After having added the file `README`, the command `git status` list it as an *untracked* file." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git add README" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "#\r\n", - "# Initial commit\r\n", - "#\r\n", - "# Changes to be committed:\r\n", - "# (use \"git rm --cached ...\" to unstage)\r\n", - "#\r\n", - "#\tnew file: README\r\n", - "#\r\n", - "# Untracked files:\r\n", - "# (use \"git add ...\" to include in what will be committed)\r\n", - "#\r\n", - "#\tLecture-7-Revision-Control-Software.ipynb\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that it has been added, it is listed as a *new file* that has not yet been commited to the repository." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master (root-commit) 1f26ad6] Added a README file\r\n", - " 1 file changed, 2 insertions(+)\r\n", - " create mode 100644 README\r\n" - ] - } - ], - "source": [ - "!git commit -m \"Added a README file\" README" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git add Lecture-7-Revision-Control-Software.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master da8b6e9] added notebook file\r\n", - " 1 file changed, 2047 insertions(+)\r\n", - " create mode 100644 Lecture-7-Revision-Control-Software.ipynb\r\n" - ] - } - ], - "source": [ - "!git commit -m \"added notebook file\" Lecture-7-Revision-Control-Software.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "nothing to commit (working directory clean)\r\n" - ] - } - ], - "source": [ - "!git status " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After *committing* the change to the repository from the local working directory, `git status` again reports that working directory is clean." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Commiting changes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When files that is tracked by GIT are changed, they are listed as *modified* by `git status`:" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting README\n" - ] - } - ], - "source": [ - "%%file README\n", - "\n", - "A file with information about the gitdemo repository.\n", - "\n", - "A new line." - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "# Changes not staged for commit:\r\n", - "# (use \"git add ...\" to update what will be committed)\r\n", - "# (use \"git checkout -- ...\" to discard changes in working directory)\r\n", - "#\r\n", - "#\tmodified: README\r\n", - "#\r\n", - "no changes added to commit (use \"git add\" and/or \"git commit -a\")\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Again, we can commit such changes to the repository using the `git commit -m \"message\"` command." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master b6db712] added one more line in README\r\n", - " 1 file changed, 3 insertions(+), 1 deletion(-)\r\n" - ] - } - ], - "source": [ - "!git commit -m \"added one more line in README\" README" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "nothing to commit (working directory clean)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Removing files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To remove file that has been added to the repository, use `git rm filename`, which works similar to `git add filename`:" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Writing tmpfile\n" - ] - } - ], - "source": [ - "%%file tmpfile\n", - "\n", - "A short-lived file." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Add it:" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git add tmpfile" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master 44ed840] adding file tmpfile\r\n", - " 1 file changed, 2 insertions(+)\r\n", - " create mode 100644 tmpfile\r\n" - ] - } - ], - "source": [ - "!git commit -m \"adding file tmpfile\" tmpfile " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Remove it again:" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "rm 'tmpfile'\r\n" - ] - } - ], - "source": [ - "!git rm tmpfile" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master a9dc0a4] remove file tmpfile\r\n", - " 1 file changed, 2 deletions(-)\r\n", - " delete mode 100644 tmpfile\r\n" - ] - } - ], - "source": [ - "!git commit -m \"remove file tmpfile\" tmpfile " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Commit logs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The messages that are added to the commit command are supposed to give a short (often one-line) description of the changes/additions/deletions in the commit. If the `-m \"message\"` is omitted when invoking the `git commit` message an editor will be opened for you to type a commit message (for example useful when a longer commit message is requried). \n", - "\n", - "We can look at the revision log by using the command `git log`:" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "commit a9dc0a4b68e8b1b6d973be8f7e7b8f1c92393c17\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:41 2012 +0100\r\n", - "\r\n", - " remove file tmpfile\r\n", - "\r\n", - "commit 44ed840422571c62db55eabd8e8768be6c7784e4\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:31 2012 +0100\r\n", - "\r\n", - " adding file tmpfile\r\n", - "\r\n", - "commit b6db712506a45a68001c768a6cf6e15e11c62f89\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:26 2012 +0100\r\n", - "\r\n", - " added one more line in README\r\n", - "\r\n", - "commit da8b6e92b34fe3838873bdd27a94402ecc121c43\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:20 2012 +0100\r\n", - "\r\n", - " added notebook file\r\n", - "\r\n", - "commit 1f26ad648a791e266fbb951ef5c49b8d990e6461\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:19 2012 +0100\r\n", - "\r\n", - " Added a README file\r\n" - ] - } - ], - "source": [ - "!git log" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the commit log, each revision is shown with a timestampe, a unique has tag that, and author information and the commit message." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Diffs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All commits results in a changeset, which has a \"diff\" describing the changes to the file associated with it. We can use `git diff` so see what has changed in a file:" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting README\n" - ] - } - ], - "source": [ - "%%file README\n", - "\n", - "A file with information about the gitdemo repository.\n", - "\n", - "README files usually contains installation instructions, and information about how to get started using the software (for example)." - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "diff --git a/README b/README\r\n", - "index 4f51868..d3951c6 100644\r\n", - "--- a/README\r\n", - "+++ b/README\r\n", - "@@ -1,4 +1,4 @@\r\n", - " \r\n", - " A file with information about the gitdemo repository.\r\n", - " \r\n", - "-A new line.\r\n", - "\\ No newline at end of file\r\n", - "+README files usually contains installation instructions, and information about how to get started using the software (for example).\r\n", - "\\ No newline at end of file\r\n" - ] - } - ], - "source": [ - "!git diff README" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "That looks quite cryptic but is a standard form for describing changes in files. We can use other tools, like graphical user interfaces or web based systems to get a more easily understandable diff.\n", - "\n", - "In github (a web-based GIT repository hosting service) it can look like this:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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GQ+z3y1fpexvOnqUgYNLjnR9cauRqjcpDpek/bsakgV4cE92MliLwf/bl8F/W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xQAQB74qN/RfacrGwK9AQSOXm5SO72D2MHBxU4olAsZ0gRge3snqz2+Oj7VeeamES4AamsB7E1Y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\nyHzARRrRVNMsecVmrvAN9vUinhk+wlc8iiHHzwLlD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hFRVXZqVl23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RAEhGo9ev5OTvt32QBBD98+9rrZIJl432avrd4xMmP7kvet32DHi+J7dU95Z/0BoxqeDzSqd9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\no41Ou3aej/+uy+4CXQwSJ//4wW8ig3711Lf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N4Gq3GU2n06EIAAAA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- "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Image(filename='images/github-diff.png')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Discard changes in the working directory" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To discard a change (revert to the latest version in the repository) we can use the `checkout` command like this:" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git checkout -- README" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "nothing to commit (working directory clean)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Checking out old revisions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If we want to get the code for a specific revision, we can use \"git checkout\" and giving it the hash code for the revision we are interested as argument:" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "commit a9dc0a4b68e8b1b6d973be8f7e7b8f1c92393c17\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:41 2012 +0100\r\n", - "\r\n", - " remove file tmpfile\r\n", - "\r\n", - "commit 44ed840422571c62db55eabd8e8768be6c7784e4\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:31 2012 +0100\r\n", - "\r\n", - " adding file tmpfile\r\n", - "\r\n", - "commit b6db712506a45a68001c768a6cf6e15e11c62f89\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:26 2012 +0100\r\n", - "\r\n", - " added one more line in README\r\n", - "\r\n", - "commit da8b6e92b34fe3838873bdd27a94402ecc121c43\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:20 2012 +0100\r\n", - "\r\n", - " added notebook file\r\n", - "\r\n", - "commit 1f26ad648a791e266fbb951ef5c49b8d990e6461\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:19 2012 +0100\r\n", - "\r\n", - " Added a README file\r\n" - ] - } - ], - "source": [ - "!git log" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Note: checking out '1f26ad648a791e266fbb951ef5c49b8d990e6461'.\r\n", - "\r\n", - "You are in 'detached HEAD' state. You can look around, make experimental\r\n", - "changes and commit them, and you can discard any commits you make in this\r\n", - "state without impacting any branches by performing another checkout.\r\n", - "\r\n", - "If you want to create a new branch to retain commits you create, you may\r\n", - "do so (now or later) by using -b with the checkout command again. Example:\r\n", - "\r\n", - " git checkout -b new_branch_name\r\n", - "\r\n", - "HEAD is now at 1f26ad6... Added a README file\r\n" - ] - } - ], - "source": [ - "!git checkout 1f26ad648a791e266fbb951ef5c49b8d990e6461" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now the content of all the files like in the revision with the hash code listed above (first revision)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "A file with information about the gitdemo repository." - ] - } - ], - "source": [ - "!cat README" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can move back to \"the latest\" (master) with the command:" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Previous HEAD position was 1f26ad6... Added a README file\r\n", - "Switched to branch 'master'\r\n" - ] - } - ], - "source": [ - "!git checkout master " - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "A file with information about the gitdemo repository.\r\n", - "\r\n", - "A new line." - ] - } - ], - "source": [ - "!cat README" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "nothing to commit (working directory clean)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Tagging and branching" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tags" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Tags are named revisions. They are useful for marking particular revisions for later references. For example, we can tag our code with the tag \"paper-1-final\" when when simulations for \"paper-1\" are finished and the paper submitted. Then we can always retreive the exactly the code used for that paper even if we continue to work on and develop the code for future projects and papers." - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "commit a9dc0a4b68e8b1b6d973be8f7e7b8f1c92393c17\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:41 2012 +0100\r\n", - "\r\n", - " remove file tmpfile\r\n", - "\r\n", - "commit 44ed840422571c62db55eabd8e8768be6c7784e4\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:31 2012 +0100\r\n", - "\r\n", - " adding file tmpfile\r\n", - "\r\n", - "commit b6db712506a45a68001c768a6cf6e15e11c62f89\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:26 2012 +0100\r\n", - "\r\n", - " added one more line in README\r\n", - "\r\n", - "commit da8b6e92b34fe3838873bdd27a94402ecc121c43\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:20 2012 +0100\r\n", - "\r\n", - " added notebook file\r\n", - "\r\n", - "commit 1f26ad648a791e266fbb951ef5c49b8d990e6461\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:19 2012 +0100\r\n", - "\r\n", - " Added a README file\r\n" - ] - } - ], - "source": [ - "!git log" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git tag -a demotag1 -m \"Code used for this and that purpuse\" " - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "demotag1\r\n" - ] - } - ], - "source": [ - "!git tag -l " - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tag demotag1\r\n", - "Tagger: Robert Johansson \r\n", - "Date: Mon Dec 10 06:57:25 2012 +0100\r\n", - "\r\n", - "Code used for this and that purpuse\r\n", - "\r\n", - "commit a9dc0a4b68e8b1b6d973be8f7e7b8f1c92393c17\r\n", - "Author: Robert Johansson \r\n", - "Date: Mon Dec 10 06:54:41 2012 +0100\r\n", - "\r\n", - " remove file tmpfile\r\n", - "\r\n", - "diff --git a/tmpfile b/tmpfile\r\n", - "deleted file mode 100644\r\n", - "index ee4c1e7..0000000\r\n", - "--- a/tmpfile\r\n", - "+++ /dev/null\r\n", - "@@ -1,2 +0,0 @@\r\n", - "-\r\n", - "-A short-lived file.\r\n", - "\\ No newline at end of file\r\n" - ] - } - ], - "source": [ - "!git show demotag1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To retreive the code in the state corresponding to a particular tag, we can use the `git checkout tagname` command:\n", - "\n", - " $ git checkout demotag1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Branches" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With branches we can create diverging code bases in the same repository. They are for example useful for experimental development that requires a lot of code changes that could break the functionality in the master branch. Once the development of a branch has reached a stable state it can always be merged back into the trunk. Branching-development-merging is a good development strategy when serveral people are involved in working on the same code base. But even in single author repositories it can often be useful to always keep the master branch in a working state, and always branch/fork before implementing a new feature, and later merge it back into the main trunk.\n", - "\n", - "In GIT, we can create a new branch like this:" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git branch expr1 " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can list the existing branches like this:" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " expr1\r\n", - "* master\r\n" - ] - } - ], - "source": [ - "!git branch" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And we can switch between branches using `checkout`:" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Switched to branch 'expr1'\r\n" - ] - } - ], - "source": [ - "!git checkout expr1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Make a change in the new branch." - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overwriting README\n" - ] - } - ], - "source": [ - "%%file README\n", - "\n", - "A file with information about the gitdemo repository.\n", - "\n", - "README files usually contains installation instructions, and information about how to get started using the software (for example).\n", - "\n", - "Experimental addition." - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[expr1 a6dc24f] added a line in expr1 branch\r\n", - " 1 file changed, 3 insertions(+), 1 deletion(-)\r\n" - ] - } - ], - "source": [ - "!git commit -m \"added a line in expr1 branch\" README" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* expr1\r\n", - " master\r\n" - ] - } - ], - "source": [ - "!git branch" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Switched to branch 'master'\r\n" - ] - } - ], - "source": [ - "!git checkout master" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " expr1\r\n", - "* master\r\n" - ] - } - ], - "source": [ - "!git branch" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can merge an existing branch and all its changesets into another branch (for example the master branch) like this:\n", - "\n", - "First change to the target branch:" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Switched to branch 'master'\r\n" - ] - } - ], - "source": [ - "!git checkout master" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Updating a9dc0a4..a6dc24f\r\n", - "Fast-forward\r\n", - " README | 4 +++-\r\n", - " 1 file changed, 3 insertions(+), 1 deletion(-)\r\n" - ] - } - ], - "source": [ - "!git merge expr1" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " expr1\r\n", - "* master\r\n" - ] - } - ], - "source": [ - "!git branch " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can delete the branch `expr1` now that it has been merged into the master:" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Deleted branch expr1 (was a6dc24f).\r\n" - ] - } - ], - "source": [ - "!git branch -d expr1" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* master\r\n" - ] - } - ], - "source": [ - "!git branch" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r\n", - "A file with information about the gitdemo repository.\r\n", - "\r\n", - "README files usually contains installation instructions, and information about how to get started using the software (for example).\r\n", - "\r\n", - "Experimental addition." - ] - } - ], - "source": [ - "!cat README" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## pulling and pushing changesets between repositories" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the respository has been cloned from another repository, for example on github.com, it automatically remembers the address of the parant repository (called origin):" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "origin\r\n" - ] - } - ], - "source": [ - "!git remote" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* remote origin\r\n", - " Fetch URL: git@github.com:jrjohansson/scientific-python-lectures.git\r\n", - " Push URL: git@github.com:jrjohansson/scientific-python-lectures.git\r\n", - " HEAD branch: master\r\n", - " Remote branch:\r\n", - " master tracked\r\n", - " Local branch configured for 'git pull':\r\n", - " master merges with remote master\r\n", - " Local ref configured for 'git push':\r\n", - " master pushes to master (up to date)\r\n" - ] - } - ], - "source": [ - "!git remote show origin" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### pull" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can retrieve updates from the origin repository by \"pulling\" changesets from \"origin\" to our repository:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Already up-to-date.\r\n" - ] - } - ], - "source": [ - "!git pull origin" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can register addresses to many different repositories, and pull in different changesets from different sources, but the default source is the origin from where the repository was first cloned (and the work origin could have been omitted from the line above)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### push" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After making changes to our local repository, we can push changes to a remote repository using `git push`. Again, the default target repository is `origin`, so we can do:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "# On branch master\r\n", - "# Untracked files:\r\n", - "# (use \"git add ...\" to include in what will be committed)\r\n", - "#\r\n", - "#\tLecture-7-Revision-Control-Software.ipynb\r\n", - "nothing added to commit but untracked files present (use \"git add\" to track)\r\n" - ] - } - ], - "source": [ - "!git status" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "!git add Lecture-7-Revision-Control-Software.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[master d0d6a70] added lecture notebook about RCS\r\n", - " 1 file changed, 2114 insertions(+)\r\n", - " create mode 100644 Lecture-7-Revision-Control-Software.ipynb\r\n" - ] - } - ], - "source": [ - "!git commit -m \"added lecture notebook about RCS\" Lecture-7-Revision-Control-Software.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Counting objects: 4, done.\n", - "Delta compression using up to 4 threads.\n", - "Compressing objects: 100% (3/3), done.\n", - "Writing objects: 100% (3/3), 118.94 KiB, done.\n", - "Total 3 (delta 1), reused 0 (delta 0)\n", - "To git@github.com:jrjohansson/scientific-python-lectures.git\n", - " 2495af4..d0d6a70 master -> master\n" - ] - } - ], - "source": [ - "!git push" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hosted repositories" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Github.com is a git repository hosting site that is very popular with both open source projects (for which it is free) and private repositories (for which a subscription might be needed).\n", - "\n", - "With a hosted repository it easy to collaborate with colleagues on the same code base, and you get a graphical user interface where you can browse the code and look at commit logs, track issues etc. \n", - "\n", - "Some good hosted repositories are\n", - "\n", - "* Github : http://www.github.com\n", - "* Bitbucket: http://www.bitbucket.org" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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lb31r0sS5yz/bc0Ft6xca6mervrDns+VzJ45968tkv5jPY3e8FcbX13dZASdw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/Jj11pdjNynobPM+PhcsZGRS4g3O0hFjIRhiBhi5MzF/rXXjTeE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\n7fsLHaxR3eVwi4y5vt6k9Xc32xodPXPin99QlHNWCwuHZ9ZTQVTvbc2ob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6XyJUX02PaW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0KiPUH73s9QzkiP3S8CWebtdbZueZWZGl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- "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Image(filename='images/github-project-page.png')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Graphical user interfaces" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are also a number of graphical users interfaces for GIT. The available options vary a little bit from platform to platform:\n", - "\n", - "http://git-scm.com/downloads/guis" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": 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5YF8+bUkihBBCCCF/dwrXODc454IbXOiCG8LmLdfSpl3/G379fAUAIjo/8d5D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myjAIrvcpWMjAyoe8hPiopeAGk+So2DTOctxW7wkpZ3H1uw9kG0v9avWQe8pOU951F/vxbZloYr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5A8LfJPI3br2FJUUHdAa1uXzgHmSscuzSwZ/iiZtV8UMS5jcnOvxq1Coh3qmTBGo0QIIYQQ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Vh15xQY5JgXB/t3T5vuTREwfEK9J/eNP67WW1DUEJcEtCeq++fQuSTU3tm69059ate8vr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\nLCwinwEWyrgUg90LwgAAAABJRU5ErkJggg==\n", - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Image(filename='images/gitk.png')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Further reading" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* http://git-scm.com/book\n", - "* http://www.vogella.com/articles/Git/article.html\n", - "* http://cheat.errtheblog.com/s/git" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 2", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.10" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/Makefile b/Makefile deleted file mode 100644 index b2021ed..0000000 --- a/Makefile +++ /dev/null @@ -1,26 +0,0 @@ -# -# Build a PDF with all the notebooks -# -TEMPLATE=chapter -NOTEBOOKS=Lecture-0-Scientific-Computing-with-Python.ipynb \ - Lecture-1-Introduction-to-Python-Programming.ipynb \ - Lecture-2-Numpy.ipynb Lecture-3-Scipy.ipynb \ - Lecture-4-Matplotlib.ipynb Lecture-5-Sympy.ipynb \ - Lecture-6A-Fortran-and-C.ipynb Lecture-6B-HPC.ipynb \ - Lecture-7-Revision-Control-Software.ipynb - -LATEXFILES=$(NOTEBOOKS:.ipynb=.tex) - -.ipynb.tex: - jupyter nbconvert --to latex --template $(TEMPLATE) $< - -all: latexfiles buildpdf - -latexfiles: - for notebook in $(NOTEBOOKS) ; do \ - jupyter nbconvert --to latex --template $(TEMPLATE) $$notebook ; \ - done - -buildpdf: latexfiles - pdflatex Scientific-Computing-with-Python.tex - diff --git a/Scientific-Computing-with-Python.pdf b/Scientific-Computing-with-Python.pdf deleted file mode 100644 index e42e9a2ad735d13b9e7898325a8423ed925dc1f9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 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-1801  2 28     2.4     2.4     2.4 1
-1801  3  1     2.7     2.7     2.7 1
-1801  3  2     3.5     3.5     3.5 1
-1801  3  3     4.0     4.0     4.0 1
-1801  3  4     0.8     0.8     0.8 1
-1801  3  5    -1.4    -1.4    -1.4 1
-1801  3  6    -3.2    -3.2    -3.2 1
-1801  3  7    -2.1    -2.1    -2.1 1
-1801  3  8     0.6     0.6     0.6 1
-1801  3  9    -6.1    -6.1    -6.1 1
-1801  3 10    -5.9    -5.9    -5.9 1
-1801  3 11    -4.2    -4.2    -4.2 1
-1801  3 12    -1.0    -1.0    -1.0 1
-1801  3 13     3.3     3.3     3.3 1
-1801  3 14     2.1     2.1     2.1 1
-1801  3 15    -6.2    -6.2    -6.2 1
-1801  3 16    -6.7    -6.7    -6.7 1
-1801  3 17    -4.7    -4.7    -4.7 1
-1801  3 18     1.3     1.3     1.3 1
-1801  3 19    -1.8    -1.8    -1.8 1
-1801  3 20    -3.2    -3.2    -3.2 1
-1801  3 21     0.3     0.3     0.3 1
-1801  3 22     1.8     1.8     1.8 1
-1801  3 23     1.7     1.7     1.7 1
-1801  3 24     2.0     2.0     2.0 1
-1801  3 25    -0.3    -0.3    -0.3 1
-1801  3 26     3.4     3.4     3.4 1
-1801  3 27     7.4     7.4     7.4 1
-1801  3 28     4.6     4.6     4.6 1
-1801  3 29     8.0     8.0     8.0 1
-1801  3 30     0.9     0.9     0.9 1
-1801  3 31    -0.3    -0.3    -0.3 1
-1801  4  1    -1.6    -1.6    -1.6 1
-1801  4  2     1.6     1.6     1.6 1
-1801  4  3     4.4     4.4     4.4 1
-1801  4  4     3.4     3.4     3.4 1
-1801  4  5     3.1     3.1     3.1 1
-1801  4  6     1.8     1.8     1.8 1
-1801  4  7     2.6     2.6     2.6 1
-1801  4  8     3.6     3.6     3.6 1
-1801  4  9     4.0     4.0     4.0 1
-1801  4 10     4.2     4.2     4.2 1
-1801  4 11     3.0     3.0     3.0 1
-1801  4 12     4.7     4.7     4.7 1
-1801  4 13     3.8     3.8     3.8 1
-1801  4 14     4.7     4.7     4.7 1
-1801  4 15     9.6     9.6     9.6 1
-1801  4 16     9.9     9.9     9.9 1
-1801  4 17     6.8     6.8     6.8 1
-1801  4 18     8.5     8.5     8.5 1
-1801  4 19     6.9     6.9     6.9 1
-1801  4 20     7.1     7.1     7.1 1
-1801  4 21     1.8     1.8     1.8 1
-1801  4 22     0.8     0.8     0.8 1
-1801  4 23     4.4     4.4     4.4 1
-1801  4 24     9.9     9.9     9.9 1
-1801  4 25    12.1    12.1    12.1 1
-1801  4 26     5.5     5.5     5.5 1
-1801  4 27     6.9     6.9     6.9 1
-1801  4 28    12.2    12.2    12.2 1
-1801  4 29     7.7     7.7     7.7 1
-1801  4 30     7.4     7.4     7.4 1
-1801  5  1     9.5     9.5     9.5 1
-1801  5  2     7.2     7.2     7.2 1
-1801  5  3    10.7    10.7    10.7 1
-1801  5  4    12.2    12.2    12.2 1
-1801  5  5    14.7    14.7    14.6 1
-1801  5  6    10.4    10.4    10.3 1
-1801  5  7     5.2     5.2     5.1 1
-1801  5  8     5.3     5.3     5.2 1
-1801  5  9     8.9     8.9     8.8 1
-1801  5 10     9.3     9.3     9.1 1
-1801  5 11    10.4    10.4    10.2 1
-1801  5 12    11.4    11.4    11.2 1
-1801  5 13    11.6    11.6    11.4 1
-1801  5 14     8.0     8.0     7.7 1
-1801  5 15     7.7     7.7     7.4 1
-1801  5 16     8.7     8.7     8.4 1
-1801  5 17    10.4    10.4    10.1 1
-1801  5 18    12.0    12.0    11.7 1
-1801  5 19    17.3    17.3    16.9 1
-1801  5 20    15.0    15.0    14.6 1
-1801  5 21    14.2    14.2    13.8 1
-1801  5 22    15.8    15.8    15.4 1
-1801  5 23    16.7    16.7    16.2 1
-1801  5 24    18.8    18.8    18.3 1
-1801  5 25    19.0    19.0    18.5 1
-1801  5 26    18.4    18.4    17.9 1
-1801  5 27    18.1    18.1    17.6 1
-1801  5 28    11.4    11.4    10.8 1
-1801  5 29     9.8     9.8     9.2 1
-1801  5 30    11.8    11.8    11.2 1
-1801  5 31    14.1    14.1    13.5 1
-1801  6  1    16.2    16.2    15.5 1
-1801  6  2    14.9    14.9    14.2 1
-1801  6  3    15.5    15.5    14.8 1
-1801  6  4    18.9    18.9    18.2 1
-1801  6  5    19.7    19.7    19.0 1
-1801  6  6    17.8    17.8    17.1 1
-1801  6  7    16.8    16.8    16.1 1
-1801  6  8    18.8    18.8    18.1 1
-1801  6  9    18.1    18.1    17.4 1
-1801  6 10    12.8    12.8    12.1 1
-1801  6 11     8.1     8.1     7.4 1
-1801  6 12     7.8     7.8     7.1 1
-1801  6 13     7.9     7.9     7.2 1
-1801  6 14    10.3    10.3     9.6 1
-1801  6 15    11.6    11.6    10.9 1
-1801  6 16    12.8    12.8    12.1 1
-1801  6 17    12.0    12.0    11.3 1
-1801  6 18    11.8    11.8    11.1 1
-1801  6 19    11.7    11.7    11.0 1
-1801  6 20    11.7    11.7    11.0 1
-1801  6 21    13.8    13.8    13.1 1
-1801  6 22    13.7    13.7    13.0 1
-1801  6 23    15.7    15.7    15.0 1
-1801  6 24    13.7    13.7    13.0 1
-1801  6 25    14.9    14.9    14.2 1
-1801  6 26    14.2    14.2    13.5 1
-1801  6 27    14.5    14.5    13.8 1
-1801  6 28    12.6    12.6    11.9 1
-1801  6 29    10.6    10.6     9.9 1
-1801  6 30    12.4    12.4    11.7 1
-1801  7  1    17.8    17.8    17.1 1
-1801  7  2    18.2    18.2    17.5 1
-1801  7  3    16.8    16.8    16.1 1
-1801  7  4    15.5    15.5    14.8 1
-1801  7  5    17.3    17.3    16.6 1
-1801  7  6    16.1    16.1    15.4 1
-1801  7  7    15.8    15.8    15.1 1
-1801  7  8    16.8    16.8    16.1 1
-1801  7  9    19.3    19.3    18.6 1
-1801  7 10    17.4    17.4    16.7 1
-1801  7 11    16.9    16.9    16.2 1
-1801  7 12    15.4    15.4    14.7 1
-1801  7 13    15.7    15.7    15.0 1
-1801  7 14    17.7    17.7    17.0 1
-1801  7 15    20.0    20.0    19.3 1
-1801  7 16    20.8    20.8    20.1 1
-1801  7 17    20.5    20.5    19.8 1
-1801  7 18    19.4    19.4    18.7 1
-1801  7 19    17.3    17.3    16.6 1
-1801  7 20    17.5    17.5    16.8 1
-1801  7 21    19.8    19.8    19.1 1
-1801  7 22    23.8    23.8    23.1 1
-1801  7 23    25.1    25.1    24.4 1
-1801  7 24    19.8    19.8    19.1 1
-1801  7 25    21.3    21.3    20.6 1
-1801  7 26    22.6    22.6    21.9 1
-1801  7 27    23.3    23.3    22.6 1
-1801  7 28    17.7    17.7    17.0 1
-1801  7 29    14.1    14.1    13.4 1
-1801  7 30    15.6    15.6    14.9 1
-1801  7 31    13.8    13.8    13.1 1
-1801  8  1    13.1    13.1    12.5 1
-1801  8  2    16.8    16.8    16.2 1
-1801  8  3    20.5    20.5    19.9 1
-1801  8  4    18.0    18.0    17.4 1
-1801  8  5    10.4    10.4     9.9 1
-1801  8  6    13.4    13.4    12.9 1
-1801  8  7    17.4    17.4    16.9 1
-1801  8  8    20.3    20.3    19.8 1
-1801  8  9    15.4    15.4    14.9 1
-1801  8 10    15.8    15.8    15.4 1
-1801  8 11    16.9    16.9    16.5 1
-1801  8 12    17.6    17.6    17.2 1
-1801  8 13    18.8    18.8    18.4 1
-1801  8 14    19.7    19.7    19.4 1
-1801  8 15    14.8    14.8    14.5 1
-1801  8 16    11.1    11.1    10.8 1
-1801  8 17    12.2    12.2    11.9 1
-1801  8 18    13.5    13.5    13.2 1
-1801  8 19    11.0    11.0    10.8 1
-1801  8 20     8.6     8.6     8.4 1
-1801  8 21     8.2     8.2     8.0 1
-1801  8 22    10.4    10.4    10.2 1
-1801  8 23    15.5    15.5    15.4 1
-1801  8 24    12.1    12.1    12.0 1
-1801  8 25    11.5    11.5    11.4 1
-1801  8 26    11.6    11.6    11.5 1
-1801  8 27     9.7     9.7     9.6 1
-1801  8 28    11.7    11.7    11.7 1
-1801  8 29     5.7     5.7     5.7 1
-1801  8 30     7.9     7.9     7.9 1
-1801  8 31     9.5     9.5     9.5 1
-1801  9  1     8.8     8.8     8.8 1
-1801  9  2    11.3    11.3    11.3 1
-1801  9  3    13.3    13.3    13.3 1
-1801  9  4    12.8    12.8    12.8 1
-1801  9  5    13.1    13.1    13.1 1
-1801  9  6    10.5    10.5    10.5 1
-1801  9  7     9.5     9.5     9.5 1
-1801  9  8     8.8     8.8     8.8 1
-1801  9  9    10.5    10.5    10.5 1
-1801  9 10     9.6     9.6     9.6 1
-1801  9 11    12.1    12.1    12.1 1
-1801  9 12    12.5    12.5    12.5 1
-1801  9 13     9.8     9.8     9.8 1
-1801  9 14    13.1    13.1    13.1 1
-1801  9 15    14.8    14.8    14.8 1
-1801  9 16    15.7    15.7    15.7 1
-1801  9 17    14.1    14.1    14.1 1
-1801  9 18    10.7    10.7    10.7 1
-1801  9 19    15.2    15.2    15.2 1
-1801  9 20    16.9    16.9    16.9 1
-1801  9 21    13.4    13.4    13.4 1
-1801  9 22    11.0    11.0    11.0 1
-1801  9 23     9.0     9.0     9.0 1
-1801  9 24     9.0     9.0     9.0 1
-1801  9 25     8.7     8.7     8.7 1
-1801  9 26    10.0    10.0    10.0 1
-1801  9 27     7.7     7.7     7.7 1
-1801  9 28     7.3     7.3     7.3 1
-1801  9 29     5.5     5.5     5.5 1
-1801  9 30     8.7     8.7     8.7 1
-1801 10  1    10.0    10.0    10.0 1
-1801 10  2    11.0    11.0    11.0 1
-1801 10  3    12.6    12.6    12.6 1
-1801 10  4    11.0    11.0    11.0 1
-1801 10  5    10.3    10.3    10.3 1
-1801 10  6    10.1    10.1    10.1 1
-1801 10  7     8.6     8.6     8.6 1
-1801 10  8     8.6     8.6     8.6 1
-1801 10  9     8.3     8.3     8.3 1
-1801 10 10     6.4     6.4     6.4 1
-1801 10 11     7.6     7.6     7.6 1
-1801 10 12     4.2     4.2     4.2 1
-1801 10 13     2.2     2.2     2.2 1
-1801 10 14     2.7     2.7     2.7 1
-1801 10 15     5.1     5.1     5.1 1
-1801 10 16     8.9     8.9     8.9 1
-1801 10 17     8.6     8.6     8.6 1
-1801 10 18     7.7     7.7     7.7 1
-1801 10 19     5.7     5.7     5.7 1
-1801 10 20     3.4     3.4     3.4 1
-1801 10 21     1.9     1.9     1.9 1
-1801 10 22     1.7     1.7     1.7 1
-1801 10 23     0.5     0.5     0.5 1
-1801 10 24     5.2     5.2     5.2 1
-1801 10 25     7.5     7.5     7.5 1
-1801 10 26     7.4     7.4     7.4 1
-1801 10 27    10.2    10.2    10.2 1
-1801 10 28     5.2     5.2     5.2 1
-1801 10 29     1.4     1.4     1.4 1
-1801 10 30     9.4     9.4     9.4 1
-1801 10 31    12.7    12.7    12.7 1
-1801 11  1    11.9    11.9    11.9 1
-1801 11  2     5.9     5.9     5.9 1
-1801 11  3     0.4     0.4     0.4 1
-1801 11  4    -0.8    -0.8    -0.8 1
-1801 11  5     0.6     0.6     0.6 1
-1801 11  6    -3.3    -3.3    -3.3 1
-1801 11  7    -2.5    -2.5    -2.5 1
-1801 11  8     3.7     3.7     3.7 1
-1801 11  9     4.7     4.7     4.7 1
-1801 11 10     3.6     3.6     3.6 1
-1801 11 11     4.4     4.4     4.4 1
-1801 11 12     4.9     4.9     4.9 1
-1801 11 13     3.9     3.9     3.9 1
-1801 11 14     4.1     4.1     4.1 1
-1801 11 15     4.1     4.1     4.1 1
-1801 11 16     8.9     8.9     8.9 1
-1801 11 17     5.4     5.4     5.4 1
-1801 11 18     5.6     5.6     5.6 1
-1801 11 19     5.6     5.6     5.6 1
-1801 11 20     1.7     1.7     1.7 1
-1801 11 21     4.2     4.2     4.2 1
-1801 11 22     3.9     3.9     3.9 1
-1801 11 23     1.3     1.3     1.3 1
-1801 11 24    -1.6    -1.6    -1.6 1
-1801 11 25    -3.6    -3.6    -3.6 1
-1801 11 26    -1.8    -1.8    -1.8 1
-1801 11 27    -0.1    -0.1    -0.1 1
-1801 11 28    -0.7    -0.7    -0.7 1
-1801 11 29    -0.7    -0.7    -0.7 1
-1801 11 30    -2.4    -2.4    -2.4 1
-1801 12  1    -0.9    -0.9    -0.9 1
-1801 12  2     4.3     4.3     4.3 1
-1801 12  3     1.6     1.6     1.6 1
-1801 12  4    -3.4    -3.4    -3.4 1
-1801 12  5    -2.4    -2.4    -2.4 1
-1801 12  6     2.9     2.9     2.9 1
-1801 12  7     3.9     3.9     3.9 1
-1801 12  8     3.6     3.6     3.6 1
-1801 12  9     1.6     1.6     1.6 1
-1801 12 10     0.9     0.9     0.9 1
-1801 12 11    -2.1    -2.1    -2.1 1
-1801 12 12    -2.2    -2.2    -2.2 1
-1801 12 13    -2.7    -2.7    -2.7 1
-1801 12 14    -4.6    -4.6    -4.6 1
-1801 12 15    -4.4    -4.4    -4.4 1
-1801 12 16    -6.1    -6.1    -6.1 1
-1801 12 17    -3.8    -3.8    -3.8 1
-1801 12 18    -5.1    -5.1    -5.1 1
-1801 12 19    -7.2    -7.2    -7.2 1
-1801 12 20   -13.1   -13.1   -13.1 1
-1801 12 21   -10.7   -10.7   -10.7 1
-1801 12 22    -3.1    -3.1    -3.1 1
-1801 12 23    -7.6    -7.6    -7.6 1
-1801 12 24    -8.7    -8.7    -8.7 1
-1801 12 25    -9.2    -9.2    -9.2 1
-1801 12 26   -10.6   -10.6   -10.6 1
-1801 12 27    -6.7    -6.7    -6.7 1
-1801 12 28    -6.4    -6.4    -6.4 1
-1801 12 29    -2.7    -2.7    -2.7 1
-1801 12 30    -3.4    -3.4    -3.4 1
-1801 12 31    -9.8    -9.8    -9.8 1
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-1802  1  2   -14.8   -14.8   -14.8 1
-1802  1  3   -21.8   -21.8   -21.8 1
-1802  1  4   -18.8   -18.8   -18.8 1
-1802  1  5    -9.5    -9.5    -9.5 1
-1802  1  6    -3.0    -3.0    -3.0 1
-1802  1  7    -7.1    -7.1    -7.1 1
-1802  1  8   -15.1   -15.1   -15.1 1
-1802  1  9    -8.4    -8.4    -8.4 1
-1802  1 10    -9.8    -9.8    -9.8 1
-1802  1 11   -18.6   -18.6   -18.6 1
-1802  1 12   -24.8   -24.8   -24.8 1
-1802  1 13   -23.3   -23.3   -23.3 1
-1802  1 14   -20.6   -20.6   -20.6 1
-1802  1 15   -12.6   -12.6   -12.6 1
-1802  1 16     0.2     0.2     0.2 1
-1802  1 17    -1.2    -1.2    -1.2 1
-1802  1 18     2.8     2.8     2.8 1
-1802  1 19     3.2     3.2     3.2 1
-1802  1 20     0.5     0.5     0.5 1
-1802  1 21    -7.2    -7.2    -7.2 1
-1802  1 22   -10.2   -10.2   -10.2 1
-1802  1 23   -10.8   -10.8   -10.8 1
-1802  1 24    -3.3    -3.3    -3.3 1
-1802  1 25     0.2     0.2     0.2 1
-1802  1 26     0.8     0.8     0.8 1
-1802  1 27     2.5     2.5     2.5 1
-1802  1 28     0.3     0.3     0.3 1
-1802  1 29     2.7     2.7     2.7 1
-1802  1 30    -0.5    -0.5    -0.5 1
-1802  1 31     1.5     1.5     1.5 1
-1802  2  1     2.2     2.2     2.2 1
-1802  2  2     2.2     2.2     2.2 1
-1802  2  3     2.9     2.9     2.9 1
-1802  2  4    -0.6    -0.6    -0.6 1
-1802  2  5     1.2     1.2     1.2 1
-1802  2  6     0.9     0.9     0.9 1
-1802  2  7    -0.7    -0.7    -0.7 1
-1802  2  8    -1.7    -1.7    -1.7 1
-1802  2  9    -0.1    -0.1    -0.1 1
-1802  2 10     1.2     1.2     1.2 1
-1802  2 11     0.0     0.0     0.0 1
-1802  2 12    -6.0    -6.0    -6.0 1
-1802  2 13    -5.7    -5.7    -5.7 1
-1802  2 14   -10.5   -10.5   -10.5 1
-1802  2 15    -6.5    -6.5    -6.5 1
-1802  2 16    -2.5    -2.5    -2.5 1
-1802  2 17    -2.0    -2.0    -2.0 1
-1802  2 18    -4.1    -4.1    -4.1 1
-1802  2 19    -5.3    -5.3    -5.3 1
-1802  2 20    -5.5    -5.5    -5.5 1
-1802  2 21    -1.6    -1.6    -1.6 1
-1802  2 22     1.4     1.4     1.4 1
-1802  2 23    -6.4    -6.4    -6.4 1
-1802  2 24    -4.4    -4.4    -4.4 1
-1802  2 25    -9.3    -9.3    -9.3 1
-1802  2 26    -7.9    -7.9    -7.9 1
-1802  2 27     4.9     4.9     4.9 1
-1802  2 28     3.8     3.8     3.8 1
-1802  3  1     3.0     3.0     3.0 1
-1802  3  2     3.6     3.6     3.6 1
-1802  3  3     4.7     4.7     4.7 1
-1802  3  4     2.9     2.9     2.9 1
-1802  3  5     0.7     0.7     0.7 1
-1802  3  6    -0.6    -0.6    -0.6 1
-1802  3  7     1.9     1.9     1.9 1
-1802  3  8     2.2     2.2     2.2 1
-1802  3  9     1.3     1.3     1.3 1
-1802  3 10     2.8     2.8     2.8 1
-1802  3 11     5.1     5.1     5.1 1
-1802  3 12     4.3     4.3     4.3 1
-1802  3 13    -1.4    -1.4    -1.4 1
-1802  3 14    -3.0    -3.0    -3.0 1
-1802  3 15    -2.2    -2.2    -2.2 1
-1802  3 16     1.0     1.0     1.0 1
-1802  3 17     0.3     0.3     0.3 1
-1802  3 18     6.0     6.0     6.0 1
-1802  3 19     7.0     7.0     7.0 1
-1802  3 20     6.0     6.0     6.0 1
-1802  3 21     3.8     3.8     3.8 1
-1802  3 22     5.3     5.3     5.3 1
-1802  3 23    -0.3    -0.3    -0.3 1
-1802  3 24    -2.6    -2.6    -2.6 1
-1802  3 25     1.8     1.8     1.8 1
-1802  3 26     5.7     5.7     5.7 1
-1802  3 27     3.4     3.4     3.4 1
-1802  3 28     8.7     8.7     8.7 1
-1802  3 29     4.4     4.4     4.4 1
-1802  3 30    -4.1    -4.1    -4.1 1
-1802  3 31     0.7     0.7     0.7 1
-1802  4  1     8.6     8.6     8.6 1
-1802  4  2     6.4     6.4     6.4 1
-1802  4  3     7.4     7.4     7.4 1
-1802  4  4     4.8     4.8     4.8 1
-1802  4  5     5.1     5.1     5.1 1
-1802  4  6     8.5     8.5     8.5 1
-1802  4  7     9.0     9.0     9.0 1
-1802  4  8     6.1     6.1     6.1 1
-1802  4  9     5.2     5.2     5.2 1
-1802  4 10     2.8     2.8     2.8 1
-1802  4 11     3.0     3.0     3.0 1
-1802  4 12    -1.4    -1.4    -1.4 1
-1802  4 13    -1.5    -1.5    -1.5 1
-1802  4 14    -0.8    -0.8    -0.8 1
-1802  4 15    -1.4    -1.4    -1.4 1
-1802  4 16     0.7     0.7     0.7 1
-1802  4 17     2.2     2.2     2.2 1
-1802  4 18     4.8     4.8     4.8 1
-1802  4 19     7.7     7.7     7.7 1
-1802  4 20     7.5     7.5     7.5 1
-1802  4 21     7.0     7.0     7.0 1
-1802  4 22     5.5     5.5     5.5 1
-1802  4 23     8.6     8.6     8.6 1
-1802  4 24     6.3     6.3     6.3 1
-1802  4 25     7.9     7.9     7.9 1
-1802  4 26     9.1     9.1     9.1 1
-1802  4 27     9.5     9.5     9.5 1
-1802  4 28    13.4    13.4    13.4 1
-1802  4 29    13.0    13.0    13.0 1
-1802  4 30     7.8     7.8     7.8 1
-1802  5  1     9.4     9.4     9.4 1
-1802  5  2     9.2     9.2     9.2 1
-1802  5  3     6.0     6.0     6.0 1
-1802  5  4     4.2     4.2     4.2 1
-1802  5  5     4.4     4.4     4.3 1
-1802  5  6     5.9     5.9     5.8 1
-1802  5  7     3.7     3.7     3.6 1
-1802  5  8     9.4     9.4     9.3 1
-1802  5  9    10.2    10.2    10.1 1
-1802  5 10     5.9     5.9     5.7 1
-1802  5 11     6.6     6.6     6.4 1
-1802  5 12     0.8     0.8     0.6 1
-1802  5 13     3.0     3.0     2.8 1
-1802  5 14     4.8     4.8     4.5 1
-1802  5 15     4.3     4.3     4.0 1
-1802  5 16     2.6     2.6     2.3 1
-1802  5 17     4.0     4.0     3.7 1
-1802  5 18     5.0     5.0     4.7 1
-1802  5 19     6.3     6.3     5.9 1
-1802  5 20     5.7     5.7     5.3 1
-1802  5 21     8.7     8.7     8.3 1
-1802  5 22    11.5    11.5    11.1 1
-1802  5 23    11.5    11.5    11.0 1
-1802  5 24    13.3    13.3    12.8 1
-1802  5 25     8.8     8.8     8.3 1
-1802  5 26     9.7     9.7     9.2 1
-1802  5 27    12.9    12.9    12.4 1
-1802  5 28    14.5    14.5    13.9 1
-1802  5 29    12.6    12.6    12.0 1
-1802  5 30     6.2     6.2     5.6 1
-1802  5 31     6.4     6.4     5.8 1
-1802  6  1     8.2     8.2     7.5 1
-1802  6  2     9.5     9.5     8.8 1
-1802  6  3    11.6    11.6    10.9 1
-1802  6  4     8.8     8.8     8.1 1
-1802  6  5     9.2     9.2     8.5 1
-1802  6  6     8.8     8.8     8.1 1
-1802  6  7    11.8    11.8    11.1 1
-1802  6  8    12.5    12.5    11.8 1
-1802  6  9    12.6    12.6    11.9 1
-1802  6 10    15.0    15.0    14.3 1
-1802  6 11    16.6    16.6    15.9 1
-1802  6 12    14.6    14.6    13.9 1
-1802  6 13    16.2    16.2    15.5 1
-1802  6 14    12.8    12.8    12.1 1
-1802  6 15    12.1    12.1    11.4 1
-1802  6 16    13.9    13.9    13.2 1
-1802  6 17    13.9    13.9    13.2 1
-1802  6 18    15.3    15.3    14.6 1
-1802  6 19    17.1    17.1    16.4 1
-1802  6 20    12.7    12.7    12.0 1
-1802  6 21    12.0    12.0    11.3 1
-1802  6 22    14.4    14.4    13.7 1
-1802  6 23    13.7    13.7    13.0 1
-1802  6 24    11.8    11.8    11.1 1
-1802  6 25    10.9    10.9    10.2 1
-1802  6 26    15.0    15.0    14.3 1
-1802  6 27    15.2    15.2    14.5 1
-1802  6 28    15.7    15.7    15.0 1
-1802  6 29    13.9    13.9    13.2 1
-1802  6 30    13.7    13.7    13.0 1
-1802  7  1    13.4    13.4    12.7 1
-1802  7  2    14.0    14.0    13.3 1
-1802  7  3    13.2    13.2    12.5 1
-1802  7  4    12.4    12.4    11.7 1
-1802  7  5    14.1    14.1    13.4 1
-1802  7  6    14.5    14.5    13.8 1
-1802  7  7    14.8    14.8    14.1 1
-1802  7  8    14.1    14.1    13.4 1
-1802  7  9    14.7    14.7    14.0 1
-1802  7 10    16.5    16.5    15.8 1
-1802  7 11    15.3    15.3    14.6 1
-1802  7 12    16.6    16.6    15.9 1
-1802  7 13    11.0    11.0    10.3 1
-1802  7 14    13.2    13.2    12.5 1
-1802  7 15    17.9    17.9    17.2 1
-1802  7 16    18.4    18.4    17.7 1
-1802  7 17    14.2    14.2    13.5 1
-1802  7 18    14.0    14.0    13.3 1
-1802  7 19    14.1    14.1    13.4 1
-1802  7 20    13.7    13.7    13.0 1
-1802  7 21    15.2    15.2    14.5 1
-1802  7 22    16.8    16.8    16.1 1
-1802  7 23    14.6    14.6    13.9 1
-1802  7 24    16.8    16.8    16.1 1
-1802  7 25    14.1    14.1    13.4 1
-1802  7 26    15.2    15.2    14.5 1
-1802  7 27    15.1    15.1    14.4 1
-1802  7 28    13.1    13.1    12.4 1
-1802  7 29    15.1    15.1    14.4 1
-1802  7 30    15.9    15.9    15.2 1
-1802  7 31    18.6    18.6    17.9 1
-1802  8  1    16.7    16.7    16.1 1
-1802  8  2    13.6    13.6    13.0 1
-1802  8  3    13.6    13.6    13.0 1
-1802  8  4    13.3    13.3    12.7 1
-1802  8  5    13.4    13.4    12.9 1
-1802  8  6    16.1    16.1    15.6 1
-1802  8  7    15.4    15.4    14.9 1
-1802  8  8    19.1    19.1    18.6 1
-1802  8  9    19.8    19.8    19.3 1
-1802  8 10    20.0    20.0    19.6 1
-1802  8 11    21.8    21.8    21.4 1
-1802  8 12    20.6    20.6    20.2 1
-1802  8 13    19.6    19.6    19.2 1
-1802  8 14    15.6    15.6    15.3 1
-1802  8 15    10.9    10.9    10.6 1
-1802  8 16    10.8    10.8    10.5 1
-1802  8 17    15.4    15.4    15.1 1
-1802  8 18    20.4    20.4    20.1 1
-1802  8 19    19.5    19.5    19.3 1
-1802  8 20    20.1    20.1    19.9 1
-1802  8 21    18.1    18.1    17.9 1
-1802  8 22    18.1    18.1    17.9 1
-1802  8 23    20.0    20.0    19.9 1
-1802  8 24    17.6    17.6    17.5 1
-1802  8 25    19.6    19.6    19.5 1
-1802  8 26    14.9    14.9    14.8 1
-1802  8 27    14.6    14.6    14.5 1
-1802  8 28    15.1    15.1    15.1 1
-1802  8 29    14.9    14.9    14.9 1
-1802  8 30    16.7    16.7    16.7 1
-1802  8 31    12.7    12.7    12.7 1
-1802  9  1    10.4    10.4    10.4 1
-1802  9  2     9.2     9.2     9.2 1
-1802  9  3    10.9    10.9    10.9 1
-1802  9  4    10.0    10.0    10.0 1
-1802  9  5    11.5    11.5    11.5 1
-1802  9  6     7.6     7.6     7.6 1
-1802  9  7     9.1     9.1     9.1 1
-1802  9  8     6.8     6.8     6.8 1
-1802  9  9     9.3     9.3     9.3 1
-1802  9 10    13.5    13.5    13.5 1
-1802  9 11    13.8    13.8    13.8 1
-1802  9 12    12.1    12.1    12.1 1
-1802  9 13    11.4    11.4    11.4 1
-1802  9 14     9.0     9.0     9.0 1
-1802  9 15    11.3    11.3    11.3 1
-1802  9 16    11.3    11.3    11.3 1
-1802  9 17     8.3     8.3     8.3 1
-1802  9 18     9.2     9.2     9.2 1
-1802  9 19    11.1    11.1    11.1 1
-1802  9 20     9.4     9.4     9.4 1
-1802  9 21    12.4    12.4    12.4 1
-1802  9 22    13.9    13.9    13.9 1
-1802  9 23    13.7    13.7    13.7 1
-1802  9 24    15.7    15.7    15.7 1
-1802  9 25    16.4    16.4    16.4 1
-1802  9 26    13.7    13.7    13.7 1
-1802  9 27     8.3     8.3     8.3 1
-1802  9 28     7.2     7.2     7.2 1
-1802  9 29     6.3     6.3     6.3 1
-1802  9 30     7.8     7.8     7.8 1
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-1802 10  9     9.3     9.3     9.3 1
-1802 10 10     5.7     5.7     5.7 1
-1802 10 11     5.1     5.1     5.1 1
-1802 10 12     4.6     4.6     4.6 1
-1802 10 13     3.2     3.2     3.2 1
-1802 10 14     5.5     5.5     5.5 1
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-1802 10 17     8.2     8.2     8.2 1
-1802 10 18     8.0     8.0     8.0 1
-1802 10 19     9.5     9.5     9.5 1
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-1802 10 22    11.0    11.0    11.0 1
-1802 10 23    11.0    11.0    11.0 1
-1802 10 24     9.6     9.6     9.6 1
-1802 10 25     8.7     8.7     8.7 1
-1802 10 26     9.2     9.2     9.2 1
-1802 10 27     8.4     8.4     8.4 1
-1802 10 28     8.9     8.9     8.9 1
-1802 10 29     8.4     8.4     8.4 1
-1802 10 30     7.9     7.9     7.9 1
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-1803  3 12    -9.1    -9.1    -9.1 1
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-1803  3 14    -2.0    -2.0    -2.0 1
-1803  3 15    -2.2    -2.2    -2.2 1
-1803  3 16    -0.9    -0.9    -0.9 1
-1803  3 17    -0.7    -0.7    -0.7 1
-1803  3 18     3.7     3.7     3.7 1
-1803  3 19     5.3     5.3     5.3 1
-1803  3 20     6.3     6.3     6.3 1
-1803  3 21     3.0     3.0     3.0 1
-1803  3 22     1.7     1.7     1.7 1
-1803  3 23     2.3     2.3     2.3 1
-1803  3 24     2.4     2.4     2.4 1
-1803  3 25     3.2     3.2     3.2 1
-1803  3 26     5.5     5.5     5.5 1
-1803  3 27     5.2     5.2     5.2 1
-1803  3 28     8.4     8.4     8.4 1
-1803  3 29     6.0     6.0     6.0 1
-1803  3 30     3.7     3.7     3.7 1
-1803  3 31     1.4     1.4     1.4 1
-1803  4  1     9.4     9.4     9.4 1
-1803  4  2     7.6     7.6     7.6 1
-1803  4  3     4.4     4.4     4.4 1
-1803  4  4     8.8     8.8     8.8 1
-1803  4  5    10.8    10.8    10.8 1
-1803  4  6     8.8     8.8     8.8 1
-1803  4  7     8.8     8.8     8.8 1
-1803  4  8     6.2     6.2     6.2 1
-1803  4  9     6.5     6.5     6.5 1
-1803  4 10     9.9     9.9     9.9 1
-1803  4 11    10.2    10.2    10.2 1
-1803  4 12     8.2     8.2     8.2 1
-1803  4 13     8.2     8.2     8.2 1
-1803  4 14    11.6    11.6    11.6 1
-1803  4 15    10.9    10.9    10.9 1
-1803  4 16    11.0    11.0    11.0 1
-1803  4 17    12.1    12.1    12.1 1
-1803  4 18    10.9    10.9    10.9 1
-1803  4 19     8.9     8.9     8.9 1
-1803  4 20     5.7     5.7     5.7 1
-1803  4 21     3.5     3.5     3.5 1
-1803  4 22    -0.5    -0.5    -0.5 1
-1803  4 23     1.7     1.7     1.7 1
-1803  4 24     6.3     6.3     6.3 1
-1803  4 25     6.6     6.6     6.6 1
-1803  4 26     5.2     5.2     5.2 1
-1803  4 27     6.7     6.7     6.7 1
-1803  4 28     5.6     5.6     5.6 1
-1803  4 29     5.9     5.9     5.9 1
-1803  4 30    10.3    10.3    10.3 1
-1803  5  1     6.7     6.7     6.7 1
-1803  5  2     8.0     8.0     8.0 1
-1803  5  3     8.6     8.6     8.6 1
-1803  5  4    10.0    10.0    10.0 1
-1803  5  5    13.3    13.3    13.2 1
-1803  5  6    11.4    11.4    11.3 1
-1803  5  7    11.9    11.9    11.8 1
-1803  5  8     9.7     9.7     9.6 1
-1803  5  9     8.7     8.7     8.6 1
-1803  5 10     8.3     8.3     8.1 1
-1803  5 11     9.1     9.1     8.9 1
-1803  5 12     8.9     8.9     8.7 1
-1803  5 13     6.6     6.6     6.4 1
-1803  5 14     6.3     6.3     6.0 1
-1803  5 15     8.1     8.1     7.8 1
-1803  5 16     7.7     7.7     7.4 1
-1803  5 17     8.4     8.4     8.1 1
-1803  5 18     9.1     9.1     8.8 1
-1803  5 19    11.0    11.0    10.6 1
-1803  5 20     9.3     9.3     8.9 1
-1803  5 21    10.7    10.7    10.3 1
-1803  5 22    10.7    10.7    10.3 1
-1803  5 23     8.3     8.3     7.8 1
-1803  5 24     8.1     8.1     7.6 1
-1803  5 25    11.2    11.2    10.7 1
-1803  5 26    12.0    12.0    11.5 1
-1803  5 27    11.9    11.9    11.4 1
-1803  5 28    10.0    10.0     9.4 1
-1803  5 29     9.4     9.4     8.8 1
-1803  5 30    11.5    11.5    10.9 1
-1803  5 31    14.0    14.0    13.4 1
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-1803  6  2    14.1    14.1    13.4 1
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-1803  6  4    15.2    15.2    14.5 1
-1803  6  5    14.4    14.4    13.7 1
-1803  6  6    13.3    13.3    12.6 1
-1803  6  7    13.5    13.5    12.8 1
-1803  6  8    11.7    11.7    11.0 1
-1803  6  9    14.5    14.5    13.8 1
-1803  6 10    15.3    15.3    14.6 1
-1803  6 11    13.0    13.0    12.3 1
-1803  6 12     8.7     8.7     8.0 1
-1803  6 13    12.5    12.5    11.8 1
-1803  6 14    11.3    11.3    10.6 1
-1803  6 15     9.8     9.8     9.1 1
-1803  6 16    13.6    13.6    12.9 1
-1803  6 17    15.9    15.9    15.2 1
-1803  6 18    14.0    14.0    13.3 1
-1803  6 19    15.3    15.3    14.6 1
-1803  6 20    13.8    13.8    13.1 1
-1803  6 21    11.8    11.8    11.1 1
-1803  6 22    11.4    11.4    10.7 1
-1803  6 23    12.7    12.7    12.0 1
-1803  6 24    14.5    14.5    13.8 1
-1803  6 25    17.2    17.2    16.5 1
-1803  6 26    13.6    13.6    12.9 1
-1803  6 27    18.8    18.8    18.1 1
-1803  6 28    15.8    15.8    15.1 1
-1803  6 29    13.8    13.8    13.1 1
-1803  6 30    17.8    17.8    17.1 1
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-1803  7  2    18.0    18.0    17.3 1
-1803  7  3    21.0    21.0    20.3 1
-1803  7  4    22.3    22.3    21.6 1
-1803  7  5    21.1    21.1    20.4 1
-1803  7  6    19.3    19.3    18.6 1
-1803  7  7    18.4    18.4    17.7 1
-1803  7  8    18.5    18.5    17.8 1
-1803  7  9    18.2    18.2    17.5 1
-1803  7 10    18.8    18.8    18.1 1
-1803  7 11    17.4    17.4    16.7 1
-1803  7 12    13.9    13.9    13.2 1
-1803  7 13    15.0    15.0    14.3 1
-1803  7 14    18.7    18.7    18.0 1
-1803  7 15    16.3    16.3    15.6 1
-1803  7 16    17.8    17.8    17.1 1
-1803  7 17    19.7    19.7    19.0 1
-1803  7 18    19.4    19.4    18.7 1
-1803  7 19    17.1    17.1    16.4 1
-1803  7 20    15.1    15.1    14.4 1
-1803  7 21    15.3    15.3    14.6 1
-1803  7 22    16.6    16.6    15.9 1
-1803  7 23    17.7    17.7    17.0 1
-1803  7 24    15.1    15.1    14.4 1
-1803  7 25    15.3    15.3    14.6 1
-1803  7 26    18.4    18.4    17.7 1
-1803  7 27    17.9    17.9    17.2 1
-1803  7 28    19.2    19.2    18.5 1
-1803  7 29    21.8    21.8    21.1 1
-1803  7 30    18.5    18.5    17.8 1
-1803  7 31    20.0    20.0    19.3 1
-1803  8  1    16.3    16.3    15.7 1
-1803  8  2    17.7    17.7    17.1 1
-1803  8  3    22.5    22.5    21.9 1
-1803  8  4    20.3    20.3    19.7 1
-1803  8  5    17.4    17.4    16.9 1
-1803  8  6    17.3    17.3    16.8 1
-1803  8  7    17.5    17.5    17.0 1
-1803  8  8    13.4    13.4    12.9 1
-1803  8  9    14.9    14.9    14.4 1
-1803  8 10    16.4    16.4    16.0 1
-1803  8 11    17.0    17.0    16.6 1
-1803  8 12    17.4    17.4    17.0 1
-1803  8 13    19.6    19.6    19.2 1
-1803  8 14    22.1    22.1    21.8 1
-1803  8 15    18.3    18.3    18.0 1
-1803  8 16    19.7    19.7    19.4 1
-1803  8 17    18.7    18.7    18.4 1
-1803  8 18    18.9    18.9    18.6 1
-1803  8 19    18.9    18.9    18.7 1
-1803  8 20    18.3    18.3    18.1 1
-1803  8 21    17.0    17.0    16.8 1
-1803  8 22    17.2    17.2    17.0 1
-1803  8 23    16.1    16.1    16.0 1
-1803  8 24    15.2    15.2    15.1 1
-1803  8 25    15.6    15.6    15.5 1
-1803  8 26    18.9    18.9    18.8 1
-1803  8 27    13.2    13.2    13.1 1
-1803  8 28    14.2    14.2    14.2 1
-1803  8 29    18.2    18.2    18.2 1
-1803  8 30    14.9    14.9    14.9 1
-1803  8 31    15.0    15.0    15.0 1
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-1803  9  5     8.0     8.0     8.0 1
-1803  9  6     9.0     9.0     9.0 1
-1803  9  7    11.8    11.8    11.8 1
-1803  9  8    13.2    13.2    13.2 1
-1803  9  9    15.2    15.2    15.2 1
-1803  9 10    12.2    12.2    12.2 1
-1803  9 11    10.8    10.8    10.8 1
-1803  9 12     7.8     7.8     7.8 1
-1803  9 13     7.1     7.1     7.1 1
-1803  9 14     7.1     7.1     7.1 1
-1803  9 15    12.7    12.7    12.7 1
-1803  9 16    12.7    12.7    12.7 1
-1803  9 17    13.6    13.6    13.6 1
-1803  9 18    11.7    11.7    11.7 1
-1803  9 19     9.7     9.7     9.7 1
-1803  9 20     9.1     9.1     9.1 1
-1803  9 21     9.2     9.2     9.2 1
-1803  9 22    11.4    11.4    11.4 1
-1803  9 23     7.0     7.0     7.0 1
-1803  9 24     5.7     5.7     5.7 1
-1803  9 25     6.4     6.4     6.4 1
-1803  9 26    11.0    11.0    11.0 1
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-1803  9 28     8.8     8.8     8.8 1
-1803  9 29    10.7    10.7    10.7 1
-1803  9 30     8.7     8.7     8.7 1
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-1803 10 28     6.5     6.5     6.5 1
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-1804  1 28     1.4     1.4     1.4 1
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-1804  2 29    -8.3    -8.3    -8.3 1
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-1804  3  5    -4.9    -4.9    -4.9 1
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-1804  3 15     2.8     2.8     2.8 1
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-1804  3 17    -6.7    -6.7    -6.7 1
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-1804  5  7     5.6     5.6     5.5 1
-1804  5  8    10.4    10.4    10.3 1
-1804  5  9     8.4     8.4     8.3 1
-1804  5 10    10.2    10.2    10.0 1
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-1804  5 26    15.2    15.2    14.7 1
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-1804  6  8    12.8    12.8    12.1 1
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-1804  6 26    13.7    13.7    13.0 1
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-1804  7  7    18.9    18.9    18.2 1
-1804  7  8    17.9    17.9    17.2 1
-1804  7  9    18.3    18.3    17.6 1
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-1804  7 11    15.7    15.7    15.0 1
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-1804  7 25    20.7    20.7    20.0 1
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-1804  7 27    18.1    18.1    17.4 1
-1804  7 28    19.3    19.3    18.6 1
-1804  7 29    20.7    20.7    20.0 1
-1804  7 30    20.1    20.1    19.4 1
-1804  7 31    24.0    24.0    23.3 1
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-1805  3 22    -1.5    -1.5    -1.5 1
-1805  3 23    -2.5    -2.5    -2.5 1
-1805  3 24    -2.6    -2.6    -2.6 1
-1805  3 25    -8.5    -8.5    -8.5 1
-1805  3 26    -7.8    -7.8    -7.8 1
-1805  3 27    -4.6    -4.6    -4.6 1
-1805  3 28    -6.1    -6.1    -6.1 1
-1805  3 29    -7.1    -7.1    -7.1 1
-1805  3 30    -5.4    -5.4    -5.4 1
-1805  3 31    -5.6    -5.6    -5.6 1
-1805  4  1    -4.8    -4.8    -4.8 1
-1805  4  2    -4.4    -4.4    -4.4 1
-1805  4  3    -1.9    -1.9    -1.9 1
-1805  4  4    -1.2    -1.2    -1.2 1
-1805  4  5    -2.0    -2.0    -2.0 1
-1805  4  6    -1.3    -1.3    -1.3 1
-1805  4  7     1.2     1.2     1.2 1
-1805  4  8     3.3     3.3     3.3 1
-1805  4  9     6.5     6.5     6.5 1
-1805  4 10     9.0     9.0     9.0 1
-1805  4 11     7.5     7.5     7.5 1
-1805  4 12     9.2     9.2     9.2 1
-1805  4 13     6.9     6.9     6.9 1
-1805  4 14     3.2     3.2     3.2 1
-1805  4 15     2.5     2.5     2.5 1
-1805  4 16     2.6     2.6     2.6 1
-1805  4 17     4.2     4.2     4.2 1
-1805  4 18     5.6     5.6     5.6 1
-1805  4 19     5.2     5.2     5.2 1
-1805  4 20     2.2     2.2     2.2 1
-1805  4 21     0.8     0.8     0.8 1
-1805  4 22     0.4     0.4     0.4 1
-1805  4 23     3.0     3.0     3.0 1
-1805  4 24     5.3     5.3     5.3 1
-1805  4 25     4.5     4.5     4.5 1
-1805  4 26     1.6     1.6     1.6 1
-1805  4 27    -3.3    -3.3    -3.3 1
-1805  4 28    -3.4    -3.4    -3.4 1
-1805  4 29    -2.3    -2.3    -2.3 1
-1805  4 30    -5.1    -5.1    -5.1 1
-1805  5  1    -1.1    -1.1    -1.1 1
-1805  5  2     1.0     1.0     1.0 1
-1805  5  3     5.3     5.3     5.3 1
-1805  5  4     4.7     4.7     4.7 1
-1805  5  5     4.0     4.0     3.9 1
-1805  5  6     4.8     4.8     4.7 1
-1805  5  7     1.9     1.9     1.8 1
-1805  5  8     2.8     2.8     2.7 1
-1805  5  9     2.6     2.6     2.5 1
-1805  5 10     6.0     6.0     5.8 1
-1805  5 11     5.0     5.0     4.8 1
-1805  5 12     7.4     7.4     7.2 1
-1805  5 13     8.3     8.3     8.1 1
-1805  5 14     9.5     9.5     9.2 1
-1805  5 15    11.1    11.1    10.8 1
-1805  5 16    11.6    11.6    11.3 1
-1805  5 17     5.6     5.6     5.3 1
-1805  5 18    10.7    10.7    10.4 1
-1805  5 19    12.1    12.1    11.7 1
-1805  5 20    10.1    10.1     9.7 1
-1805  5 21     7.1     7.1     6.7 1
-1805  5 22     3.6     3.6     3.2 1
-1805  5 23     2.6     2.6     2.1 1
-1805  5 24     4.7     4.7     4.2 1
-1805  5 25     7.1     7.1     6.6 1
-1805  5 26     7.0     7.0     6.5 1
-1805  5 27     8.3     8.3     7.8 1
-1805  5 28     7.3     7.3     6.7 1
-1805  5 29     7.2     7.2     6.6 1
-1805  5 30    11.1    11.1    10.5 1
-1805  5 31     9.1     9.1     8.5 1
-1805  6  1     7.3     7.3     6.6 1
-1805  6  2     9.4     9.4     8.7 1
-1805  6  3     8.9     8.9     8.2 1
-1805  6  4     6.3     6.3     5.6 1
-1805  6  5     7.0     7.0     6.3 1
-1805  6  6     8.2     8.2     7.5 1
-1805  6  7     8.8     8.8     8.1 1
-1805  6  8     9.8     9.8     9.1 1
-1805  6  9    10.8    10.8    10.1 1
-1805  6 10    11.0    11.0    10.3 1
-1805  6 11    13.3    13.3    12.6 1
-1805  6 12    16.2    16.2    15.5 1
-1805  6 13    15.5    15.5    14.8 1
-1805  6 14    15.2    15.2    14.5 1
-1805  6 15    10.8    10.8    10.1 1
-1805  6 16    11.0    11.0    10.3 1
-1805  6 17    11.5    11.5    10.8 1
-1805  6 18    13.3    13.3    12.6 1
-1805  6 19    10.7    10.7    10.0 1
-1805  6 20    14.1    14.1    13.4 1
-1805  6 21    13.0    13.0    12.3 1
-1805  6 22    13.7    13.7    13.0 1
-1805  6 23    14.1    14.1    13.4 1
-1805  6 24    14.1    14.1    13.4 1
-1805  6 25    13.2    13.2    12.5 1
-1805  6 26    11.5    11.5    10.8 1
-1805  6 27    12.4    12.4    11.7 1
-1805  6 28    13.1    13.1    12.4 1
-1805  6 29    13.1    13.1    12.4 1
-1805  6 30    14.4    14.4    13.7 1
-1805  7  1    12.2    12.2    11.5 1
-1805  7  2    16.3    16.3    15.6 1
-1805  7  3    14.1    14.1    13.4 1
-1805  7  4    14.8    14.8    14.1 1
-1805  7  5    13.1    13.1    12.4 1
-1805  7  6    18.2    18.2    17.5 1
-1805  7  7    20.8    20.8    20.1 1
-1805  7  8    22.3    22.3    21.6 1
-1805  7  9    23.0    23.0    22.3 1
-1805  7 10    24.7    24.7    24.0 1
-1805  7 11    23.8    23.8    23.1 1
-1805  7 12    19.7    19.7    19.0 1
-1805  7 13    15.1    15.1    14.4 1
-1805  7 14    16.7    16.7    16.0 1
-1805  7 15    14.5    14.5    13.8 1
-1805  7 16    16.8    16.8    16.1 1
-1805  7 17    16.1    16.1    15.4 1
-1805  7 18    17.3    17.3    16.6 1
-1805  7 19    19.5    19.5    18.8 1
-1805  7 20    16.7    16.7    16.0 1
-1805  7 21    18.7    18.7    18.0 1
-1805  7 22    16.3    16.3    15.6 1
-1805  7 23    16.1    16.1    15.4 1
-1805  7 24    15.8    15.8    15.1 1
-1805  7 25    15.9    15.9    15.2 1
-1805  7 26    16.6    16.6    15.9 1
-1805  7 27    18.3    18.3    17.6 1
-1805  7 28    17.6    17.6    16.9 1
-1805  7 29    19.4    19.4    18.7 1
-1805  7 30    18.0    18.0    17.3 1
-1805  7 31    18.0    18.0    17.3 1
-1805  8  1    20.4    20.4    19.8 1
-1805  8  2    16.0    16.0    15.4 1
-1805  8  3    18.1    18.1    17.5 1
-1805  8  4    19.1    19.1    18.5 1
-1805  8  5    19.3    19.3    18.8 1
-1805  8  6    18.1    18.1    17.6 1
-1805  8  7    17.2    17.2    16.7 1
-1805  8  8    18.0    18.0    17.5 1
-1805  8  9    17.7    17.7    17.2 1
-1805  8 10    19.3    19.3    18.9 1
-1805  8 11    16.4    16.4    16.0 1
-1805  8 12    19.0    19.0    18.6 1
-1805  8 13    18.9    18.9    18.5 1
-1805  8 14    17.1    17.1    16.8 1
-1805  8 15    18.7    18.7    18.4 1
-1805  8 16    17.6    17.6    17.3 1
-1805  8 17    16.6    16.6    16.3 1
-1805  8 18    16.5    16.5    16.2 1
-1805  8 19    17.3    17.3    17.1 1
-1805  8 20    16.3    16.3    16.1 1
-1805  8 21    13.5    13.5    13.3 1
-1805  8 22    14.9    14.9    14.7 1
-1805  8 23    14.3    14.3    14.2 1
-1805  8 24    14.1    14.1    14.0 1
-1805  8 25    15.4    15.4    15.3 1
-1805  8 26    16.2    16.2    16.1 1
-1805  8 27    14.5    14.5    14.4 1
-1805  8 28    13.2    13.2    13.2 1
-1805  8 29    12.3    12.3    12.3 1
-1805  8 30    10.2    10.2    10.2 1
-1805  8 31    10.4    10.4    10.4 1
-1805  9  1     9.9     9.9     9.9 1
-1805  9  2    12.0    12.0    12.0 1
-1805  9  3    11.8    11.8    11.8 1
-1805  9  4    11.5    11.5    11.5 1
-1805  9  5    11.1    11.1    11.1 1
-1805  9  6    10.5    10.5    10.5 1
-1805  9  7    10.3    10.3    10.3 1
-1805  9  8    12.5    12.5    12.5 1
-1805  9  9    13.8    13.8    13.8 1
-1805  9 10    14.0    14.0    14.0 1
-1805  9 11    14.8    14.8    14.8 1
-1805  9 12    14.8    14.8    14.8 1
-1805  9 13    13.7    13.7    13.7 1
-1805  9 14    13.1    13.1    13.1 1
-1805  9 15    11.6    11.6    11.6 1
-1805  9 16    13.2    13.2    13.2 1
-1805  9 17    16.1    16.1    16.1 1
-1805  9 18    16.9    16.9    16.9 1
-1805  9 19    13.7    13.7    13.7 1
-1805  9 20    16.1    16.1    16.1 1
-1805  9 21    16.0    16.0    16.0 1
-1805  9 22    10.0    10.0    10.0 1
-1805  9 23    11.0    11.0    11.0 1
-1805  9 24    11.7    11.7    11.7 1
-1805  9 25    11.0    11.0    11.0 1
-1805  9 26    10.7    10.7    10.7 1
-1805  9 27    12.0    12.0    12.0 1
-1805  9 28    13.0    13.0    13.0 1
-1805  9 29     9.7     9.7     9.7 1
-1805  9 30     9.3     9.3     9.3 1
-1805 10  1     5.6     5.6     5.6 1
-1805 10  2    10.0    10.0    10.0 1
-1805 10  3    10.1    10.1    10.1 1
-1805 10  4    10.1    10.1    10.1 1
-1805 10  5    10.1    10.1    10.1 1
-1805 10  6     5.3     5.3     5.3 1
-1805 10  7     3.4     3.4     3.4 1
-1805 10  8     0.1     0.1     0.1 1
-1805 10  9    -1.8    -1.8    -1.8 1
-1805 10 10     0.1     0.1     0.1 1
-1805 10 11     0.7     0.7     0.7 1
-1805 10 12     5.9     5.9     5.9 1
-1805 10 13     7.6     7.6     7.6 1
-1805 10 14     5.8     5.8     5.8 1
-1805 10 15     3.9     3.9     3.9 1
-1805 10 16     1.5     1.5     1.5 1
-1805 10 17     1.2     1.2     1.2 1
-1805 10 18     0.0     0.0     0.0 1
-1805 10 19     3.0     3.0     3.0 1
-1805 10 20     4.5     4.5     4.5 1
-1805 10 21     1.5     1.5     1.5 1
-1805 10 22     2.4     2.4     2.4 1
-1805 10 23     5.0     5.0     5.0 1
-1805 10 24     3.7     3.7     3.7 1
-1805 10 25    -1.6    -1.6    -1.6 1
-1805 10 26    -2.3    -2.3    -2.3 1
-1805 10 27    -2.0    -2.0    -2.0 1
-1805 10 28    -5.6    -5.6    -5.6 1
-1805 10 29    -3.5    -3.5    -3.5 1
-1805 10 30    -4.8    -4.8    -4.8 1
-1805 10 31    -5.2    -5.2    -5.2 1
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-1805 11  4     2.4     2.4     2.4 1
-1805 11  5     3.4     3.4     3.4 1
-1805 11  6     5.2     5.2     5.2 1
-1805 11  7     3.6     3.6     3.6 1
-1805 11  8     5.5     5.5     5.5 1
-1805 11  9     3.9     3.9     3.9 1
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-1805 11 13    -2.0    -2.0    -2.0 1
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-1805 11 16    -4.6    -4.6    -4.6 1
-1805 11 17     3.7     3.7     3.7 1
-1805 11 18     2.9     2.9     2.9 1
-1805 11 19     5.4     5.4     5.4 1
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-1805 11 21    -5.1    -5.1    -5.1 1
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-1805 11 25    -1.3    -1.3    -1.3 1
-1805 11 26    -6.3    -6.3    -6.3 1
-1805 11 27    -4.8    -4.8    -4.8 1
-1805 11 28    -0.1    -0.1    -0.1 1
-1805 11 29     1.1     1.1     1.1 1
-1805 11 30     2.1     2.1     2.1 1
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-1805 12 10     2.9     2.9     2.9 1
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-1805 12 14   -12.1   -12.1   -12.1 1
-1805 12 15   -10.8   -10.8   -10.8 1
-1805 12 16   -13.1   -13.1   -13.1 1
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-1805 12 19    -3.6    -3.6    -3.6 1
-1805 12 20     1.8     1.8     1.8 1
-1805 12 21     1.9     1.9     1.9 1
-1805 12 22     3.9     3.9     3.9 1
-1805 12 23     1.9     1.9     1.9 1
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-1805 12 25    -1.3    -1.3    -1.3 1
-1805 12 26    -7.1    -7.1    -7.1 1
-1805 12 27   -14.7   -14.7   -14.7 1
-1805 12 28    -5.3    -5.3    -5.3 1
-1805 12 29    -1.6    -1.6    -1.6 1
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-1805 12 31    -3.8    -3.8    -3.8 1
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-1806  1  5     0.7     0.7     0.7 1
-1806  1  6     1.6     1.6     1.6 1
-1806  1  7     1.2     1.2     1.2 1
-1806  1  8     1.4     1.4     1.4 1
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-1806  1 10    -0.6    -0.6    -0.6 1
-1806  1 11     0.9     0.9     0.9 1
-1806  1 12     0.6     0.6     0.6 1
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-1806  1 16     0.5     0.5     0.5 1
-1806  1 17     3.5     3.5     3.5 1
-1806  1 18     2.4     2.4     2.4 1
-1806  1 19     1.4     1.4     1.4 1
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-1806  1 30   -10.1   -10.1   -10.1 1
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-1806  2 10    -4.8    -4.8    -4.8 1
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-1806  3  5    -9.1    -9.1    -9.1 1
-1806  3  6     2.2     2.2     2.2 1
-1806  3  7    -2.8    -2.8    -2.8 1
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-1806  3  9    -7.9    -7.9    -7.9 1
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-1806  3 11    -8.7    -8.7    -8.7 1
-1806  3 12    -6.2    -6.2    -6.2 1
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-1806  3 14    -1.2    -1.2    -1.2 1
-1806  3 15    -1.7    -1.7    -1.7 1
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-1806  3 17    -5.5    -5.5    -5.5 1
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-1806  3 19    -2.9    -2.9    -2.9 1
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-1806  3 21    -1.3    -1.3    -1.3 1
-1806  3 22     1.8     1.8     1.8 1
-1806  3 23     1.8     1.8     1.8 1
-1806  3 24     2.7     2.7     2.7 1
-1806  3 25     1.7     1.7     1.7 1
-1806  3 26    -0.1    -0.1    -0.1 1
-1806  3 27    -1.0    -1.0    -1.0 1
-1806  3 28    -1.0    -1.0    -1.0 1
-1806  3 29    -2.1    -2.1    -2.1 1
-1806  3 30    -5.0    -5.0    -5.0 1
-1806  3 31    -4.9    -4.9    -4.9 1
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-1806  4  2     2.1     2.1     2.1 1
-1806  4  3     1.0     1.0     1.0 1
-1806  4  4     2.8     2.8     2.8 1
-1806  4  5     2.8     2.8     2.8 1
-1806  4  6     4.5     4.5     4.5 1
-1806  4  7     5.5     5.5     5.5 1
-1806  4  8     2.3     2.3     2.3 1
-1806  4  9     4.6     4.6     4.6 1
-1806  4 10    -3.9    -3.9    -3.9 1
-1806  4 11   -10.2   -10.2   -10.2 1
-1806  4 12    -8.3    -8.3    -8.3 1
-1806  4 13    -8.0    -8.0    -8.0 1
-1806  4 14    -5.4    -5.4    -5.4 1
-1806  4 15    -3.2    -3.2    -3.2 1
-1806  4 16    -1.1    -1.1    -1.1 1
-1806  4 17     1.2     1.2     1.2 1
-1806  4 18     1.9     1.9     1.9 1
-1806  4 19     2.0     2.0     2.0 1
-1806  4 20     5.1     5.1     5.1 1
-1806  4 21     3.4     3.4     3.4 1
-1806  4 22     6.1     6.1     6.1 1
-1806  4 23     5.5     5.5     5.5 1
-1806  4 24     6.0     6.0     6.0 1
-1806  4 25     4.5     4.5     4.5 1
-1806  4 26    -0.4    -0.4    -0.4 1
-1806  4 27     0.4     0.4     0.4 1
-1806  4 28     1.1     1.1     1.1 1
-1806  4 29     1.5     1.5     1.5 1
-1806  4 30     3.7     3.7     3.7 1
-1806  5  1     4.6     4.6     4.6 1
-1806  5  2     5.9     5.9     5.9 1
-1806  5  3     6.9     6.9     6.9 1
-1806  5  4     5.0     5.0     5.0 1
-1806  5  5     4.7     4.7     4.6 1
-1806  5  6     5.7     5.7     5.6 1
-1806  5  7     4.3     4.3     4.2 1
-1806  5  8     5.3     5.3     5.2 1
-1806  5  9     7.4     7.4     7.3 1
-1806  5 10     8.4     8.4     8.2 1
-1806  5 11    11.4    11.4    11.2 1
-1806  5 12     7.9     7.9     7.7 1
-1806  5 13    11.9    11.9    11.7 1
-1806  5 14     7.6     7.6     7.3 1
-1806  5 15     7.6     7.6     7.3 1
-1806  5 16    15.4    15.4    15.1 1
-1806  5 17    10.6    10.6    10.3 1
-1806  5 18    11.2    11.2    10.9 1
-1806  5 19    13.1    13.1    12.7 1
-1806  5 20    16.1    16.1    15.7 1
-1806  5 21    18.3    18.3    17.9 1
-1806  5 22    15.1    15.1    14.7 1
-1806  5 23    11.2    11.2    10.7 1
-1806  5 24     7.4     7.4     6.9 1
-1806  5 25     9.7     9.7     9.2 1
-1806  5 26     8.0     8.0     7.5 1
-1806  5 27     6.3     6.3     5.8 1
-1806  5 28    10.1    10.1     9.5 1
-1806  5 29    11.0    11.0    10.4 1
-1806  5 30     7.2     7.2     6.6 1
-1806  5 31     5.8     5.8     5.2 1
-1806  6  1     7.3     7.3     6.6 1
-1806  6  2     5.0     5.0     4.3 1
-1806  6  3     4.4     4.4     3.7 1
-1806  6  4     9.0     9.0     8.3 1
-1806  6  5     9.5     9.5     8.8 1
-1806  6  6    12.2    12.2    11.5 1
-1806  6  7    11.3    11.3    10.6 1
-1806  6  8    14.7    14.7    14.0 1
-1806  6  9    18.5    18.5    17.8 1
-1806  6 10    21.3    21.3    20.6 1
-1806  6 11    20.5    20.5    19.8 1
-1806  6 12    11.3    11.3    10.6 1
-1806  6 13    10.6    10.6     9.9 1
-1806  6 14    12.7    12.7    12.0 1
-1806  6 15    17.4    17.4    16.7 1
-1806  6 16    14.7    14.7    14.0 1
-1806  6 17    11.2    11.2    10.5 1
-1806  6 18    13.6    13.6    12.9 1
-1806  6 19    13.4    13.4    12.7 1
-1806  6 20    12.1    12.1    11.4 1
-1806  6 21     6.3     6.3     5.6 1
-1806  6 22     7.5     7.5     6.8 1
-1806  6 23     6.4     6.4     5.7 1
-1806  6 24     7.4     7.4     6.7 1
-1806  6 25     9.7     9.7     9.0 1
-1806  6 26     9.6     9.6     8.9 1
-1806  6 27    11.1    11.1    10.4 1
-1806  6 28    11.1    11.1    10.4 1
-1806  6 29    11.1    11.1    10.4 1
-1806  6 30    10.1    10.1     9.4 1
-1806  7  1    10.8    10.8    10.1 1
-1806  7  2    11.3    11.3    10.6 1
-1806  7  3    11.6    11.6    10.9 1
-1806  7  4    11.8    11.8    11.1 1
-1806  7  5     9.9     9.9     9.2 1
-1806  7  6    13.0    13.0    12.3 1
-1806  7  7    14.4    14.4    13.7 1
-1806  7  8    16.3    16.3    15.6 1
-1806  7  9    14.5    14.5    13.8 1
-1806  7 10    16.6    16.6    15.9 1
-1806  7 11    16.5    16.5    15.8 1
-1806  7 12    17.2    17.2    16.5 1
-1806  7 13    15.1    15.1    14.4 1
-1806  7 14    16.0    16.0    15.3 1
-1806  7 15    14.0    14.0    13.3 1
-1806  7 16    15.0    15.0    14.3 1
-1806  7 17    14.8    14.8    14.1 1
-1806  7 18    16.3    16.3    15.6 1
-1806  7 19    16.2    16.2    15.5 1
-1806  7 20    15.7    15.7    15.0 1
-1806  7 21    16.6    16.6    15.9 1
-1806  7 22    19.1    19.1    18.4 1
-1806  7 23    19.5    19.5    18.8 1
-1806  7 24    17.9    17.9    17.2 1
-1806  7 25    18.0    18.0    17.3 1
-1806  7 26    17.8    17.8    17.1 1
-1806  7 27    14.3    14.3    13.6 1
-1806  7 28    16.1    16.1    15.4 1
-1806  7 29    16.0    16.0    15.3 1
-1806  7 30    16.0    16.0    15.3 1
-1806  7 31    17.7    17.7    17.0 1
-1806  8  1    15.4    15.4    14.8 1
-1806  8  2    15.5    15.5    14.9 1
-1806  8  3    14.5    14.5    13.9 1
-1806  8  4    15.7    15.7    15.1 1
-1806  8  5    17.0    17.0    16.5 1
-1806  8  6    16.5    16.5    16.0 1
-1806  8  7    17.1    17.1    16.6 1
-1806  8  8    21.3    21.3    20.8 1
-1806  8  9    18.0    18.0    17.5 1
-1806  8 10    17.7    17.7    17.3 1
-1806  8 11    17.5    17.5    17.1 1
-1806  8 12    17.3    17.3    16.9 1
-1806  8 13    16.9    16.9    16.5 1
-1806  8 14    17.9    17.9    17.6 1
-1806  8 15    16.7    16.7    16.4 1
-1806  8 16    17.6    17.6    17.3 1
-1806  8 17    17.6    17.6    17.3 1
-1806  8 18    18.5    18.5    18.2 1
-1806  8 19    14.9    14.9    14.7 1
-1806  8 20    14.4    14.4    14.2 1
-1806  8 21    13.2    13.2    13.0 1
-1806  8 22    14.9    14.9    14.7 1
-1806  8 23    16.8    16.8    16.7 1
-1806  8 24    16.8    16.8    16.7 1
-1806  8 25    14.7    14.7    14.6 1
-1806  8 26    14.2    14.2    14.1 1
-1806  8 27    16.0    16.0    15.9 1
-1806  8 28    16.2    16.2    16.2 1
-1806  8 29    16.2    16.2    16.2 1
-1806  8 30    20.0    20.0    20.0 1
-1806  8 31    20.6    20.6    20.6 1
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-1806  9  2    17.0    17.0    17.0 1
-1806  9  3    14.5    14.5    14.5 1
-1806  9  4    16.3    16.3    16.3 1
-1806  9  5    16.5    16.5    16.5 1
-1806  9  6    16.3    16.3    16.3 1
-1806  9  7    16.2    16.2    16.2 1
-1806  9  8    16.2    16.2    16.2 1
-1806  9  9    15.5    15.5    15.5 1
-1806  9 10    14.5    14.5    14.5 1
-1806  9 11    14.1    14.1    14.1 1
-1806  9 12    15.0    15.0    15.0 1
-1806  9 13    12.1    12.1    12.1 1
-1806  9 14    13.6    13.6    13.6 1
-1806  9 15    15.4    15.4    15.4 1
-1806  9 16    15.1    15.1    15.1 1
-1806  9 17    13.7    13.7    13.7 1
-1806  9 18    12.7    12.7    12.7 1
-1806  9 19    13.4    13.4    13.4 1
-1806  9 20    13.2    13.2    13.2 1
-1806  9 21    15.2    15.2    15.2 1
-1806  9 22    13.6    13.6    13.6 1
-1806  9 23    15.0    15.0    15.0 1
-1806  9 24    10.7    10.7    10.7 1
-1806  9 25     8.0     8.0     8.0 1
-1806  9 26    12.3    12.3    12.3 1
-1806  9 27    13.7    13.7    13.7 1
-1806  9 28    11.7    11.7    11.7 1
-1806  9 29     8.7     8.7     8.7 1
-1806  9 30    12.3    12.3    12.3 1
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-1806 10  6    11.3    11.3    11.3 1
-1806 10  7     9.6     9.6     9.6 1
-1806 10  8    11.3    11.3    11.3 1
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-1806 10 11     5.6     5.6     5.6 1
-1806 10 12     9.2     9.2     9.2 1
-1806 10 13     6.6     6.6     6.6 1
-1806 10 14     4.6     4.6     4.6 1
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-1806 10 16     5.4     5.4     5.4 1
-1806 10 17     5.4     5.4     5.4 1
-1806 10 18     2.9     2.9     2.9 1
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-1806 12 25     0.9     0.9     0.9 1
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-1807  1  9    -5.6    -5.6    -5.6 1
-1807  1 10     1.6     1.6     1.6 1
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-1807  1 12     4.1     4.1     4.1 1
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-1807  1 25    -9.2    -9.2    -9.2 1
-1807  1 26     0.9     0.9     0.9 1
-1807  1 27     0.8     0.8     0.8 1
-1807  1 28    -2.8    -2.8    -2.8 1
-1807  1 29     0.5     0.5     0.5 1
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-1807  2 21     0.9     0.9     0.9 1
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-1807  3 14     0.8     0.8     0.8 1
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-1807  3 17    -9.4    -9.4    -9.4 1
-1807  3 18    -7.9    -7.9    -7.9 1
-1807  3 19     0.0     0.0     0.0 1
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-1807  3 24     4.8     4.8     4.8 1
-1807  3 25     6.0     6.0     6.0 1
-1807  3 26     5.0     5.0     5.0 1
-1807  3 27     2.5     2.5     2.5 1
-1807  3 28    -2.3    -2.3    -2.3 1
-1807  3 29    -2.9    -2.9    -2.9 1
-1807  3 30    -2.3    -2.3    -2.3 1
-1807  3 31     0.6     0.6     0.6 1
-1807  4  1    -1.2    -1.2    -1.2 1
-1807  4  2    -0.7    -0.7    -0.7 1
-1807  4  3    -1.2    -1.2    -1.2 1
-1807  4  4    -1.5    -1.5    -1.5 1
-1807  4  5     1.2     1.2     1.2 1
-1807  4  6     4.8     4.8     4.8 1
-1807  4  7    -0.4    -0.4    -0.4 1
-1807  4  8     0.2     0.2     0.2 1
-1807  4  9     3.5     3.5     3.5 1
-1807  4 10     1.2     1.2     1.2 1
-1807  4 11     1.3     1.3     1.3 1
-1807  4 12     4.5     4.5     4.5 1
-1807  4 13     2.3     2.3     2.3 1
-1807  4 14    -5.2    -5.2    -5.2 1
-1807  4 15    -5.9    -5.9    -5.9 1
-1807  4 16    -5.8    -5.8    -5.8 1
-1807  4 17    -5.5    -5.5    -5.5 1
-1807  4 18    -3.8    -3.8    -3.8 1
-1807  4 19    -3.9    -3.9    -3.9 1
-1807  4 20    -4.6    -4.6    -4.6 1
-1807  4 21    -1.2    -1.2    -1.2 1
-1807  4 22     0.0     0.0     0.0 1
-1807  4 23     1.1     1.1     1.1 1
-1807  4 24     3.9     3.9     3.9 1
-1807  4 25     4.9     4.9     4.9 1
-1807  4 26     8.0     8.0     8.0 1
-1807  4 27     7.0     7.0     7.0 1
-1807  4 28     4.3     4.3     4.3 1
-1807  4 29     9.2     9.2     9.2 1
-1807  4 30     8.1     8.1     8.1 1
-1807  5  1     5.4     5.4     5.4 1
-1807  5  2     2.7     2.7     2.7 1
-1807  5  3     1.7     1.7     1.7 1
-1807  5  4     5.1     5.1     5.1 1
-1807  5  5     6.7     6.7     6.6 1
-1807  5  6     6.7     6.7     6.6 1
-1807  5  7     9.0     9.0     8.9 1
-1807  5  8     5.9     5.9     5.8 1
-1807  5  9     8.0     8.0     7.9 1
-1807  5 10     8.3     8.3     8.1 1
-1807  5 11     4.6     4.6     4.4 1
-1807  5 12     5.2     5.2     5.0 1
-1807  5 13     4.6     4.6     4.4 1
-1807  5 14     3.3     3.3     3.0 1
-1807  5 15     5.8     5.8     5.5 1
-1807  5 16     7.1     7.1     6.8 1
-1807  5 17     8.7     8.7     8.4 1
-1807  5 18    10.1    10.1     9.8 1
-1807  5 19     6.7     6.7     6.3 1
-1807  5 20     8.0     8.0     7.6 1
-1807  5 21    11.5    11.5    11.1 1
-1807  5 22    11.2    11.2    10.8 1
-1807  5 23    12.9    12.9    12.4 1
-1807  5 24    12.7    12.7    12.2 1
-1807  5 25     8.0     8.0     7.5 1
-1807  5 26    10.7    10.7    10.2 1
-1807  5 27    14.4    14.4    13.9 1
-1807  5 28    13.4    13.4    12.8 1
-1807  5 29    11.1    11.1    10.5 1
-1807  5 30     9.0     9.0     8.4 1
-1807  5 31    11.7    11.7    11.1 1
-1807  6  1    13.9    13.9    13.2 1
-1807  6  2    14.8    14.8    14.1 1
-1807  6  3    11.4    11.4    10.7 1
-1807  6  4    11.2    11.2    10.5 1
-1807  6  5    14.0    14.0    13.3 1
-1807  6  6    16.7    16.7    16.0 1
-1807  6  7    14.5    14.5    13.8 1
-1807  6  8    15.3    15.3    14.6 1
-1807  6  9    15.3    15.3    14.6 1
-1807  6 10    16.3    16.3    15.6 1
-1807  6 11    16.0    16.0    15.3 1
-1807  6 12    15.9    15.9    15.2 1
-1807  6 13    13.8    13.8    13.1 1
-1807  6 14    14.1    14.1    13.4 1
-1807  6 15    19.1    19.1    18.4 1
-1807  6 16    19.1    19.1    18.4 1
-1807  6 17    15.9    15.9    15.2 1
-1807  6 18    15.6    15.6    14.9 1
-1807  6 19    12.8    12.8    12.1 1
-1807  6 20    12.8    12.8    12.1 1
-1807  6 21    11.6    11.6    10.9 1
-1807  6 22     9.6     9.6     8.9 1
-1807  6 23    10.7    10.7    10.0 1
-1807  6 24    10.0    10.0     9.3 1
-1807  6 25    11.6    11.6    10.9 1
-1807  6 26    14.3    14.3    13.6 1
-1807  6 27    12.2    12.2    11.5 1
-1807  6 28    10.0    10.0     9.3 1
-1807  6 29    13.4    13.4    12.7 1
-1807  6 30    17.6    17.6    16.9 1
-1807  7  1    16.1    16.1    15.4 1
-1807  7  2    16.8    16.8    16.1 1
-1807  7  3    14.8    14.8    14.1 1
-1807  7  4    14.4    14.4    13.7 1
-1807  7  5    14.9    14.9    14.2 1
-1807  7  6    12.8    12.8    12.1 1
-1807  7  7    11.6    11.6    10.9 1
-1807  7  8    12.4    12.4    11.7 1
-1807  7  9    12.6    12.6    11.9 1
-1807  7 10    12.3    12.3    11.6 1
-1807  7 11    13.5    13.5    12.8 1
-1807  7 12    18.3    18.3    17.6 1
-1807  7 13    21.6    21.6    20.9 1
-1807  7 14    22.3    22.3    21.6 1
-1807  7 15    20.0    20.0    19.3 1
-1807  7 16    18.0    18.0    17.3 1
-1807  7 17    18.6    18.6    17.9 1
-1807  7 18    21.2    21.2    20.5 1
-1807  7 19    20.4    20.4    19.7 1
-1807  7 20    19.5    19.5    18.8 1
-1807  7 21    20.0    20.0    19.3 1
-1807  7 22    22.5    22.5    21.8 1
-1807  7 23    22.3    22.3    21.6 1
-1807  7 24    21.0    21.0    20.3 1
-1807  7 25    20.1    20.1    19.4 1
-1807  7 26    21.5    21.5    20.8 1
-1807  7 27    23.0    23.0    22.3 1
-1807  7 28    22.1    22.1    21.4 1
-1807  7 29    22.6    22.6    21.9 1
-1807  7 30    22.9    22.9    22.2 1
-1807  7 31    24.5    24.5    23.8 1
-1807  8  1    25.5    25.5    24.9 1
-1807  8  2    25.3    25.3    24.7 1
-1807  8  3    24.6    24.6    24.0 1
-1807  8  4    20.9    20.9    20.3 1
-1807  8  5    19.2    19.2    18.7 1
-1807  8  6    18.9    18.9    18.4 1
-1807  8  7    19.0    19.0    18.5 1
-1807  8  8    16.1    16.1    15.6 1
-1807  8  9    14.3    14.3    13.8 1
-1807  8 10    14.9    14.9    14.5 1
-1807  8 11    15.4    15.4    15.0 1
-1807  8 12    15.6    15.6    15.2 1
-1807  8 13    17.7    17.7    17.3 1
-1807  8 14    19.7    19.7    19.4 1
-1807  8 15    19.1    19.1    18.8 1
-1807  8 16    21.5    21.5    21.2 1
-1807  8 17    22.2    22.2    21.9 1
-1807  8 18    21.5    21.5    21.2 1
-1807  8 19    19.6    19.6    19.4 1
-1807  8 20    18.6    18.6    18.4 1
-1807  8 21    18.4    18.4    18.2 1
-1807  8 22    17.6    17.6    17.4 1
-1807  8 23    19.3    19.3    19.2 1
-1807  8 24    20.4    20.4    20.3 1
-1807  8 25    16.4    16.4    16.3 1
-1807  8 26    17.4    17.4    17.3 1
-1807  8 27    18.2    18.2    18.1 1
-1807  8 28    18.9    18.9    18.9 1
-1807  8 29    21.5    21.5    21.5 1
-1807  8 30    19.1    19.1    19.1 1
-1807  8 31    18.5    18.5    18.5 1
-1807  9  1    15.0    15.0    15.0 1
-1807  9  2    12.6    12.6    12.6 1
-1807  9  3    15.3    15.3    15.3 1
-1807  9  4    16.5    16.5    16.5 1
-1807  9  5    17.5    17.5    17.5 1
-1807  9  6    14.5    14.5    14.5 1
-1807  9  7    19.1    19.1    19.1 1
-1807  9  8    12.5    12.5    12.5 1
-1807  9  9    10.8    10.8    10.8 1
-1807  9 10    10.6    10.6    10.6 1
-1807  9 11     7.8     7.8     7.8 1
-1807  9 12     9.3     9.3     9.3 1
-1807  9 13     9.1     9.1     9.1 1
-1807  9 14     9.5     9.5     9.5 1
-1807  9 15     9.4     9.4     9.4 1
-1807  9 16     7.7     7.7     7.7 1
-1807  9 17     7.4     7.4     7.4 1
-1807  9 18     6.9     6.9     6.9 1
-1807  9 19     7.1     7.1     7.1 1
-1807  9 20     6.1     6.1     6.1 1
-1807  9 21     5.6     5.6     5.6 1
-1807  9 22     5.9     5.9     5.9 1
-1807  9 23     6.2     6.2     6.2 1
-1807  9 24     9.4     9.4     9.4 1
-1807  9 25    11.0    11.0    11.0 1
-1807  9 26     9.7     9.7     9.7 1
-1807  9 27    10.0    10.0    10.0 1
-1807  9 28    10.2    10.2    10.2 1
-1807  9 29     7.0     7.0     7.0 1
-1807  9 30     6.3     6.3     6.3 1
-1807 10  1     6.5     6.5     6.5 1
-1807 10  2     6.6     6.6     6.6 1
-1807 10  3     6.0     6.0     6.0 1
-1807 10  4     5.3     5.3     5.3 1
-1807 10  5     4.4     4.4     4.4 1
-1807 10  6     6.1     6.1     6.1 1
-1807 10  7    10.9    10.9    10.9 1
-1807 10  8    11.0    11.0    11.0 1
-1807 10  9     5.3     5.3     5.3 1
-1807 10 10     4.2     4.2     4.2 1
-1807 10 11     3.4     3.4     3.4 1
-1807 10 12     3.9     3.9     3.9 1
-1807 10 13     1.6     1.6     1.6 1
-1807 10 14     4.2     4.2     4.2 1
-1807 10 15     8.9     8.9     8.9 1
-1807 10 16    11.2    11.2    11.2 1
-1807 10 17     8.9     8.9     8.9 1
-1807 10 18     8.7     8.7     8.7 1
-1807 10 19     4.0     4.0     4.0 1
-1807 10 20     0.9     0.9     0.9 1
-1807 10 21     3.4     3.4     3.4 1
-1807 10 22     3.9     3.9     3.9 1
-1807 10 23     6.2     6.2     6.2 1
-1807 10 24     5.9     5.9     5.9 1
-1807 10 25     6.2     6.2     6.2 1
-1807 10 26     3.6     3.6     3.6 1
-1807 10 27     6.4     6.4     6.4 1
-1807 10 28     0.4     0.4     0.4 1
-1807 10 29     0.1     0.1     0.1 1
-1807 10 30    -3.3    -3.3    -3.3 1
-1807 10 31    -6.2    -6.2    -6.2 1
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-1807 11  2     4.2     4.2     4.2 1
-1807 11  3     6.2     6.2     6.2 1
-1807 11  4     5.4     5.4     5.4 1
-1807 11  5     4.2     4.2     4.2 1
-1807 11  6     4.2     4.2     4.2 1
-1807 11  7     4.1     4.1     4.1 1
-1807 11  8     3.9     3.9     3.9 1
-1807 11  9     4.6     4.6     4.6 1
-1807 11 10     3.9     3.9     3.9 1
-1807 11 11     5.6     5.6     5.6 1
-1807 11 12     5.4     5.4     5.4 1
-1807 11 13     0.1     0.1     0.1 1
-1807 11 14    -2.1    -2.1    -2.1 1
-1807 11 15    -3.8    -3.8    -3.8 1
-1807 11 16    -4.3    -4.3    -4.3 1
-1807 11 17     0.6     0.6     0.6 1
-1807 11 18    -1.6    -1.6    -1.6 1
-1807 11 19    -6.5    -6.5    -6.5 1
-1807 11 20    -2.8    -2.8    -2.8 1
-1807 11 21     3.6     3.6     3.6 1
-1807 11 22     1.4     1.4     1.4 1
-1807 11 23     0.2     0.2     0.2 1
-1807 11 24     1.8     1.8     1.8 1
-1807 11 25     2.3     2.3     2.3 1
-1807 11 26     1.1     1.1     1.1 1
-1807 11 27     1.9     1.9     1.9 1
-1807 11 28     1.1     1.1     1.1 1
-1807 11 29    -1.6    -1.6    -1.6 1
-1807 11 30     0.6     0.6     0.6 1
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-1807 12  7    -6.2    -6.2    -6.2 1
-1807 12  8     0.6     0.6     0.6 1
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-1807 12 10    -5.4    -5.4    -5.4 1
-1807 12 11    -4.1    -4.1    -4.1 1
-1807 12 12    -4.4    -4.4    -4.4 1
-1807 12 13    -2.4    -2.4    -2.4 1
-1807 12 14    -3.3    -3.3    -3.3 1
-1807 12 15    -9.3    -9.3    -9.3 1
-1807 12 16    -8.1    -8.1    -8.1 1
-1807 12 17    -9.6    -9.6    -9.6 1
-1807 12 18    -1.2    -1.2    -1.2 1
-1807 12 19    -3.4    -3.4    -3.4 1
-1807 12 20     2.1     2.1     2.1 1
-1807 12 21     3.3     3.3     3.3 1
-1807 12 22     2.9     2.9     2.9 1
-1807 12 23    -2.1    -2.1    -2.1 1
-1807 12 24    -1.1    -1.1    -1.1 1
-1807 12 25     2.6     2.6     2.6 1
-1807 12 26     4.4     4.4     4.4 1
-1807 12 27     2.7     2.7     2.7 1
-1807 12 28     2.4     2.4     2.4 1
-1807 12 29     3.1     3.1     3.1 1
-1807 12 30     3.6     3.6     3.6 1
-1807 12 31     2.6     2.6     2.6 1
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-1808  1  4     2.2     2.2     2.2 1
-1808  1  5     0.4     0.4     0.4 1
-1808  1  6     0.7     0.7     0.7 1
-1808  1  7     2.6     2.6     2.6 1
-1808  1  8     2.9     2.9     2.9 1
-1808  1  9     4.2     4.2     4.2 1
-1808  1 10    -0.6    -0.6    -0.6 1
-1808  1 11     0.6     0.6     0.6 1
-1808  1 12    -8.1    -8.1    -8.1 1
-1808  1 13   -14.5   -14.5   -14.5 1
-1808  1 14   -10.6   -10.6   -10.6 1
-1808  1 15    -5.1    -5.1    -5.1 1
-1808  1 16   -11.3   -11.3   -11.3 1
-1808  1 17   -16.2   -16.2   -16.2 1
-1808  1 18    -0.1    -0.1    -0.1 1
-1808  1 19     1.0     1.0     1.0 1
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-1808  1 21    -8.5    -8.5    -8.5 1
-1808  1 22    -4.5    -4.5    -4.5 1
-1808  1 23     2.5     2.5     2.5 1
-1808  1 24     1.9     1.9     1.9 1
-1808  1 25    -0.3    -0.3    -0.3 1
-1808  1 26    -1.1    -1.1    -1.1 1
-1808  1 27    -0.8    -0.8    -0.8 1
-1808  1 28    -0.6    -0.6    -0.6 1
-1808  1 29     0.5     0.5     0.5 1
-1808  1 30     0.9     0.9     0.9 1
-1808  1 31    -0.5    -0.5    -0.5 1
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-1808  2  3    -2.8    -2.8    -2.8 1
-1808  2  4    -6.5    -6.5    -6.5 1
-1808  2  5     1.2     1.2     1.2 1
-1808  2  6     1.3     1.3     1.3 1
-1808  2  7    -1.6    -1.6    -1.6 1
-1808  2  8    -7.4    -7.4    -7.4 1
-1808  2  9   -11.5   -11.5   -11.5 1
-1808  2 10   -13.7   -13.7   -13.7 1
-1808  2 11    -9.3    -9.3    -9.3 1
-1808  2 12    -5.5    -5.5    -5.5 1
-1808  2 13    -3.6    -3.6    -3.6 1
-1808  2 14   -14.8   -14.8   -14.8 1
-1808  2 15   -14.5   -14.5   -14.5 1
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-1808  2 17    -5.2    -5.2    -5.2 1
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-1808  2 19    -6.0    -6.0    -6.0 1
-1808  2 20    -1.2    -1.2    -1.2 1
-1808  2 21     2.0     2.0     2.0 1
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-1808  2 23    -5.5    -5.5    -5.5 1
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-1808  2 25    -9.8    -9.8    -9.8 1
-1808  2 26    -3.3    -3.3    -3.3 1
-1808  2 27   -15.1   -15.1   -15.1 1
-1808  2 28   -19.5   -19.5   -19.5 1
-1808  2 29   -19.6   -19.6   -19.6 1
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-1808  3  4    -2.1    -2.1    -2.1 1
-1808  3  5     0.3     0.3     0.3 1
-1808  3  6     0.6     0.6     0.6 1
-1808  3  7    -1.6    -1.6    -1.6 1
-1808  3  8    -0.4    -0.4    -0.4 1
-1808  3  9    -9.1    -9.1    -9.1 1
-1808  3 10    -8.9    -8.9    -8.9 1
-1808  3 11     2.1     2.1     2.1 1
-1808  3 12    -0.7    -0.7    -0.7 1
-1808  3 13    -5.2    -5.2    -5.2 1
-1808  3 14   -11.2   -11.2   -11.2 1
-1808  3 15    -9.0    -9.0    -9.0 1
-1808  3 16    -6.4    -6.4    -6.4 1
-1808  3 17    -5.0    -5.0    -5.0 1
-1808  3 18    -3.5    -3.5    -3.5 1
-1808  3 19    -3.5    -3.5    -3.5 1
-1808  3 20    -0.7    -0.7    -0.7 1
-1808  3 21    -1.7    -1.7    -1.7 1
-1808  3 22    -2.5    -2.5    -2.5 1
-1808  3 23    -4.3    -4.3    -4.3 1
-1808  3 24    -3.7    -3.7    -3.7 1
-1808  3 25    -2.1    -2.1    -2.1 1
-1808  3 26    -4.5    -4.5    -4.5 1
-1808  3 27    -6.3    -6.3    -6.3 1
-1808  3 28    -2.6    -2.6    -2.6 1
-1808  3 29    -0.9    -0.9    -0.9 1
-1808  3 30    -3.4    -3.4    -3.4 1
-1808  3 31    -9.3    -9.3    -9.3 1
-1808  4  1    -9.2    -9.2    -9.2 1
-1808  4  2   -13.7   -13.7   -13.7 1
-1808  4  3   -11.6   -11.6   -11.6 1
-1808  4  4     1.6     1.6     1.6 1
-1808  4  5     4.6     4.6     4.6 1
-1808  4  6     3.3     3.3     3.3 1
-1808  4  7     1.8     1.8     1.8 1
-1808  4  8     1.0     1.0     1.0 1
-1808  4  9    -3.2    -3.2    -3.2 1
-1808  4 10    -3.3    -3.3    -3.3 1
-1808  4 11    -1.7    -1.7    -1.7 1
-1808  4 12    -2.3    -2.3    -2.3 1
-1808  4 13     1.5     1.5     1.5 1
-1808  4 14     4.9     4.9     4.9 1
-1808  4 15     2.7     2.7     2.7 1
-1808  4 16     2.6     2.6     2.6 1
-1808  4 17     2.4     2.4     2.4 1
-1808  4 18     1.2     1.2     1.2 1
-1808  4 19     1.9     1.9     1.9 1
-1808  4 20     0.2     0.2     0.2 1
-1808  4 21     2.2     2.2     2.2 1
-1808  4 22     2.0     2.0     2.0 1
-1808  4 23     4.0     4.0     4.0 1
-1808  4 24     1.7     1.7     1.7 1
-1808  4 25     1.9     1.9     1.9 1
-1808  4 26     3.7     3.7     3.7 1
-1808  4 27     5.7     5.7     5.7 1
-1808  4 28     1.3     1.3     1.3 1
-1808  4 29    -1.0    -1.0    -1.0 1
-1808  4 30     4.7     4.7     4.7 1
-1808  5  1     7.2     7.2     7.2 1
-1808  5  2     6.9     6.9     6.9 1
-1808  5  3    10.0    10.0    10.0 1
-1808  5  4    10.1    10.1    10.1 1
-1808  5  5    12.2    12.2    12.1 1
-1808  5  6    12.9    12.9    12.8 1
-1808  5  7    14.1    14.1    14.0 1
-1808  5  8    14.2    14.2    14.1 1
-1808  5  9     9.9     9.9     9.8 1
-1808  5 10     5.1     5.1     4.9 1
-1808  5 11     6.8     6.8     6.6 1
-1808  5 12     7.9     7.9     7.7 1
-1808  5 13    11.0    11.0    10.8 1
-1808  5 14    13.3    13.3    13.0 1
-1808  5 15    14.1    14.1    13.8 1
-1808  5 16    15.7    15.7    15.4 1
-1808  5 17    14.3    14.3    14.0 1
-1808  5 18     7.1     7.1     6.8 1
-1808  5 19     6.1     6.1     5.7 1
-1808  5 20     3.3     3.3     2.9 1
-1808  5 21     5.6     5.6     5.2 1
-1808  5 22     7.3     7.3     6.9 1
-1808  5 23     7.1     7.1     6.6 1
-1808  5 24     7.3     7.3     6.8 1
-1808  5 25    10.0    10.0     9.5 1
-1808  5 26    10.1    10.1     9.6 1
-1808  5 27     8.8     8.8     8.3 1
-1808  5 28    10.0    10.0     9.4 1
-1808  5 29    16.2    16.2    15.6 1
-1808  5 30    17.8    17.8    17.2 1
-1808  5 31    19.4    19.4    18.8 1
-1808  6  1    19.1    19.1    18.4 1
-1808  6  2    18.2    18.2    17.5 1
-1808  6  3    19.0    19.0    18.3 1
-1808  6  4    19.7    19.7    19.0 1
-1808  6  5    16.4    16.4    15.7 1
-1808  6  6    18.8    18.8    18.1 1
-1808  6  7    17.8    17.8    17.1 1
-1808  6  8    15.3    15.3    14.6 1
-1808  6  9    11.5    11.5    10.8 1
-1808  6 10    16.8    16.8    16.1 1
-1808  6 11    18.4    18.4    17.7 1
-1808  6 12    10.9    10.9    10.2 1
-1808  6 13     8.1     8.1     7.4 1
-1808  6 14     8.2     8.2     7.5 1
-1808  6 15     5.7     5.7     5.0 1
-1808  6 16     9.1     9.1     8.4 1
-1808  6 17    11.9    11.9    11.2 1
-1808  6 18    14.8    14.8    14.1 1
-1808  6 19    13.7    13.7    13.0 1
-1808  6 20    12.5    12.5    11.8 1
-1808  6 21    12.8    12.8    12.1 1
-1808  6 22    15.1    15.1    14.4 1
-1808  6 23    14.8    14.8    14.1 1
-1808  6 24    13.7    13.7    13.0 1
-1808  6 25    15.0    15.0    14.3 1
-1808  6 26    20.0    20.0    19.3 1
-1808  6 27    18.4    18.4    17.7 1
-1808  6 28    20.0    20.0    19.3 1
-1808  6 29    17.7    17.7    17.0 1
-1808  6 30    21.3    21.3    20.6 1
-1808  7  1    21.2    21.2    20.5 1
-1808  7  2    17.3    17.3    16.6 1
-1808  7  3     9.7     9.7     9.0 1
-1808  7  4    11.9    11.9    11.2 1
-1808  7  5    11.3    11.3    10.6 1
-1808  7  6    10.8    10.8    10.1 1
-1808  7  7    14.6    14.6    13.9 1
-1808  7  8    17.3    17.3    16.6 1
-1808  7  9    16.5    16.5    15.8 1
-1808  7 10    15.4    15.4    14.7 1
-1808  7 11    19.7    19.7    19.0 1
-1808  7 12    18.5    18.5    17.8 1
-1808  7 13    16.3    16.3    15.6 1
-1808  7 14    18.6    18.6    17.9 1
-1808  7 15    16.6    16.6    15.9 1
-1808  7 16    15.8    15.8    15.1 1
-1808  7 17    15.2    15.2    14.5 1
-1808  7 18    17.2    17.2    16.5 1
-1808  7 19    19.5    19.5    18.8 1
-1808  7 20    18.6    18.6    17.9 1
-1808  7 21    21.3    21.3    20.6 1
-1808  7 22    22.5    22.5    21.8 1
-1808  7 23    24.1    24.1    23.4 1
-1808  7 24    24.1    24.1    23.4 1
-1808  7 25    24.3    24.3    23.6 1
-1808  7 26    17.6    17.6    16.9 1
-1808  7 27    16.5    16.5    15.8 1
-1808  7 28    20.3    20.3    19.6 1
-1808  7 29    17.1    17.1    16.4 1
-1808  7 30    17.4    17.4    16.7 1
-1808  7 31    19.4    19.4    18.7 1
-1808  8  1    19.8    19.8    19.2 1
-1808  8  2    21.2    21.2    20.6 1
-1808  8  3    19.4    19.4    18.8 1
-1808  8  4    18.4    18.4    17.8 1
-1808  8  5    13.9    13.9    13.4 1
-1808  8  6    17.5    17.5    17.0 1
-1808  8  7    19.0    19.0    18.5 1
-1808  8  8    20.7    20.7    20.2 1
-1808  8  9    20.3    20.3    19.8 1
-1808  8 10    16.1    16.1    15.7 1
-1808  8 11    17.5    17.5    17.1 1
-1808  8 12    15.6    15.6    15.2 1
-1808  8 13    15.6    15.6    15.2 1
-1808  8 14    16.3    16.3    16.0 1
-1808  8 15    18.5    18.5    18.2 1
-1808  8 16    17.3    17.3    17.0 1
-1808  8 17    17.7    17.7    17.4 1
-1808  8 18    18.3    18.3    18.0 1
-1808  8 19    19.1    19.1    18.9 1
-1808  8 20    20.9    20.9    20.7 1
-1808  8 21    19.6    19.6    19.4 1
-1808  8 22    15.3    15.3    15.1 1
-1808  8 23    17.5    17.5    17.4 1
-1808  8 24    17.1    17.1    17.0 1
-1808  8 25    12.1    12.1    12.0 1
-1808  8 26    13.4    13.4    13.3 1
-1808  8 27    15.1    15.1    15.0 1
-1808  8 28    14.6    14.6    14.6 1
-1808  8 29    17.5    17.5    17.5 1
-1808  8 30    15.2    15.2    15.2 1
-1808  8 31    16.5    16.5    16.5 1
-1808  9  1    18.5    18.5    18.5 1
-1808  9  2    18.8    18.8    18.8 1
-1808  9  3    18.8    18.8    18.8 1
-1808  9  4    16.5    16.5    16.5 1
-1808  9  5    14.1    14.1    14.1 1
-1808  9  6    13.5    13.5    13.5 1
-1808  9  7    14.1    14.1    14.1 1
-1808  9  8    11.8    11.8    11.8 1
-1808  9  9    13.6    13.6    13.6 1
-1808  9 10    14.9    14.9    14.9 1
-1808  9 11    15.6    15.6    15.6 1
-1808  9 12    11.8    11.8    11.8 1
-1808  9 13    10.6    10.6    10.6 1
-1808  9 14    11.1    11.1    11.1 1
-1808  9 15    11.8    11.8    11.8 1
-1808  9 16    13.1    13.1    13.1 1
-1808  9 17    14.6    14.6    14.6 1
-1808  9 18    15.1    15.1    15.1 1
-1808  9 19    13.4    13.4    13.4 1
-1808  9 20    16.1    16.1    16.1 1
-1808  9 21    15.4    15.4    15.4 1
-1808  9 22    15.4    15.4    15.4 1
-1808  9 23    14.0    14.0    14.0 1
-1808  9 24    10.9    10.9    10.9 1
-1808  9 25     9.7     9.7     9.7 1
-1808  9 26    11.7    11.7    11.7 1
-1808  9 27    10.3    10.3    10.3 1
-1808  9 28     7.7     7.7     7.7 1
-1808  9 29     6.3     6.3     6.3 1
-1808  9 30     5.0     5.0     5.0 1
-1808 10  1     5.3     5.3     5.3 1
-1808 10  2     7.0     7.0     7.0 1
-1808 10  3     6.3     6.3     6.3 1
-1808 10  4     9.3     9.3     9.3 1
-1808 10  5    10.0    10.0    10.0 1
-1808 10  6     7.8     7.8     7.8 1
-1808 10  7     8.8     8.8     8.8 1
-1808 10  8    11.6    11.6    11.6 1
-1808 10  9    11.9    11.9    11.9 1
-1808 10 10    11.6    11.6    11.6 1
-1808 10 11     9.9     9.9     9.9 1
-1808 10 12     9.3     9.3     9.3 1
-1808 10 13     7.9     7.9     7.9 1
-1808 10 14     6.7     6.7     6.7 1
-1808 10 15     5.6     5.6     5.6 1
-1808 10 16     7.4     7.4     7.4 1
-1808 10 17     8.7     8.7     8.7 1
-1808 10 18     7.9     7.9     7.9 1
-1808 10 19     7.9     7.9     7.9 1
-1808 10 20    10.2    10.2    10.2 1
-1808 10 21     7.4     7.4     7.4 1
-1808 10 22     7.6     7.6     7.6 1
-1808 10 23     6.9     6.9     6.9 1
-1808 10 24     6.9     6.9     6.9 1
-1808 10 25     9.4     9.4     9.4 1
-1808 10 26     8.4     8.4     8.4 1
-1808 10 27    10.1    10.1    10.1 1
-1808 10 28    10.2    10.2    10.2 1
-1808 10 29     9.6     9.6     9.6 1
-1808 10 30    10.2    10.2    10.2 1
-1808 10 31     6.9     6.9     6.9 1
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-1808 11  2     4.8     4.8     4.8 1
-1808 11  3     1.7     1.7     1.7 1
-1808 11  4     0.8     0.8     0.8 1
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-1808 11  6     1.0     1.0     1.0 1
-1808 11  7     3.9     3.9     3.9 1
-1808 11  8     4.2     4.2     4.2 1
-1808 11  9     3.9     3.9     3.9 1
-1808 11 10     1.7     1.7     1.7 1
-1808 11 11     0.4     0.4     0.4 1
-1808 11 12     3.7     3.7     3.7 1
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-1808 11 14    -3.0    -3.0    -3.0 1
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-1808 11 16     4.9     4.9     4.9 1
-1808 11 17     5.0     5.0     5.0 1
-1808 11 18     5.2     5.2     5.2 1
-1808 11 19     6.1     6.1     6.1 1
-1808 11 20     3.7     3.7     3.7 1
-1808 11 21     1.2     1.2     1.2 1
-1808 11 22     0.9     0.9     0.9 1
-1808 11 23    -1.6    -1.6    -1.6 1
-1808 11 24     1.1     1.1     1.1 1
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-1808 11 26    -2.2    -2.2    -2.2 1
-1808 11 27    -1.8    -1.8    -1.8 1
-1808 11 28    -7.2    -7.2    -7.2 1
-1808 11 29    -8.7    -8.7    -8.7 1
-1808 11 30    -7.8    -7.8    -7.8 1
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-1808 12  6     1.9     1.9     1.9 1
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-1808 12  8    -7.4    -7.4    -7.4 1
-1808 12  9   -10.1   -10.1   -10.1 1
-1808 12 10   -11.4   -11.4   -11.4 1
-1808 12 11   -15.3   -15.3   -15.3 1
-1808 12 12   -11.1   -11.1   -11.1 1
-1808 12 13    -6.9    -6.9    -6.9 1
-1808 12 14    -0.6    -0.6    -0.6 1
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-1808 12 16    -6.2    -6.2    -6.2 1
-1808 12 17    -8.1    -8.1    -8.1 1
-1808 12 18    -4.7    -4.7    -4.7 1
-1808 12 19    -6.2    -6.2    -6.2 1
-1808 12 20    -7.9    -7.9    -7.9 1
-1808 12 21   -11.7   -11.7   -11.7 1
-1808 12 22    -9.1    -9.1    -9.1 1
-1808 12 23    -6.6    -6.6    -6.6 1
-1808 12 24     0.8     0.8     0.8 1
-1808 12 25    -1.6    -1.6    -1.6 1
-1808 12 26    -2.3    -2.3    -2.3 1
-1808 12 27    -2.4    -2.4    -2.4 1
-1808 12 28    -2.6    -2.6    -2.6 1
-1808 12 29    -5.7    -5.7    -5.7 1
-1808 12 30    -7.4    -7.4    -7.4 1
-1808 12 31    -9.9    -9.9    -9.9 1
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-1809  1  2   -16.6   -16.6   -16.6 1
-1809  1  3   -16.8   -16.8   -16.8 1
-1809  1  4   -15.1   -15.1   -15.1 1
-1809  1  5   -22.8   -22.8   -22.8 1
-1809  1  6   -18.8   -18.8   -18.8 1
-1809  1  7    -4.6    -4.6    -4.6 1
-1809  1  8    -2.4    -2.4    -2.4 1
-1809  1  9    -3.1    -3.1    -3.1 1
-1809  1 10    -3.4    -3.4    -3.4 1
-1809  1 11    -5.9    -5.9    -5.9 1
-1809  1 12   -11.3   -11.3   -11.3 1
-1809  1 13   -14.0   -14.0   -14.0 1
-1809  1 14   -16.1   -16.1   -16.1 1
-1809  1 15   -15.6   -15.6   -15.6 1
-1809  1 16   -12.5   -12.5   -12.5 1
-1809  1 17   -10.1   -10.1   -10.1 1
-1809  1 18   -14.8   -14.8   -14.8 1
-1809  1 19   -22.6   -22.6   -22.6 1
-1809  1 20    -6.3    -6.3    -6.3 1
-1809  1 21    -9.1    -9.1    -9.1 1
-1809  1 22   -11.6   -11.6   -11.6 1
-1809  1 23   -11.1   -11.1   -11.1 1
-1809  1 24    -9.1    -9.1    -9.1 1
-1809  1 25   -12.5   -12.5   -12.5 1
-1809  1 26   -23.7   -23.7   -23.7 1
-1809  1 27   -24.8   -24.8   -24.8 1
-1809  1 28   -11.1   -11.1   -11.1 1
-1809  1 29    -2.1    -2.1    -2.1 1
-1809  1 30    -0.3    -0.3    -0.3 1
-1809  1 31   -11.1   -11.1   -11.1 1
-1809  2  1   -11.2   -11.2   -11.2 1
-1809  2  2    -7.1    -7.1    -7.1 1
-1809  2  3   -16.7   -16.7   -16.7 1
-1809  2  4   -19.3   -19.3   -19.3 1
-1809  2  5   -17.2   -17.2   -17.2 1
-1809  2  6   -24.2   -24.2   -24.2 1
-1809  2  7   -20.2   -20.2   -20.2 1
-1809  2  8   -15.8   -15.8   -15.8 1
-1809  2  9   -11.8   -11.8   -11.8 1
-1809  2 10    -8.1    -8.1    -8.1 1
-1809  2 11    -8.3    -8.3    -8.3 1
-1809  2 12   -13.2   -13.2   -13.2 1
-1809  2 13    -9.8    -9.8    -9.8 1
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-1809  2 17     2.3     2.3     2.3 1
-1809  2 18     3.2     3.2     3.2 1
-1809  2 19     0.7     0.7     0.7 1
-1809  2 20    -0.5    -0.5    -0.5 1
-1809  2 21    -1.8    -1.8    -1.8 1
-1809  2 22   -18.2   -18.2   -18.2 1
-1809  2 23   -20.2   -20.2   -20.2 1
-1809  2 24   -12.3   -12.3   -12.3 1
-1809  2 25    -2.3    -2.3    -2.3 1
-1809  2 26    -3.5    -3.5    -3.5 1
-1809  2 27    -0.9    -0.9    -0.9 1
-1809  2 28     4.8     4.8     4.8 1
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-1809  3  3     1.2     1.2     1.2 1
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-1809  3  6    -5.8    -5.8    -5.8 1
-1809  3  7    -0.4    -0.4    -0.4 1
-1809  3  8     1.9     1.9     1.9 1
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-1809  3 12    -3.0    -3.0    -3.0 1
-1809  3 13    -4.7    -4.7    -4.7 1
-1809  3 14    -2.4    -2.4    -2.4 1
-1809  3 15    -4.2    -4.2    -4.2 1
-1809  3 16    -3.7    -3.7    -3.7 1
-1809  3 17     2.0     2.0     2.0 1
-1809  3 18     1.8     1.8     1.8 1
-1809  3 19     1.5     1.5     1.5 1
-1809  3 20     0.7     0.7     0.7 1
-1809  3 21    -4.0    -4.0    -4.0 1
-1809  3 22    -5.8    -5.8    -5.8 1
-1809  3 23   -10.7   -10.7   -10.7 1
-1809  3 24   -13.0   -13.0   -13.0 1
-1809  3 25   -16.1   -16.1   -16.1 1
-1809  3 26   -15.3   -15.3   -15.3 1
-1809  3 27   -12.3   -12.3   -12.3 1
-1809  3 28    -8.3    -8.3    -8.3 1
-1809  3 29    -3.3    -3.3    -3.3 1
-1809  3 30    -1.4    -1.4    -1.4 1
-1809  3 31     0.0     0.0     0.0 1
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-1809  4  3    -4.8    -4.8    -4.8 1
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-1809  4  5    -6.7    -6.7    -6.7 1
-1809  4  6    -1.0    -1.0    -1.0 1
-1809  4  7     2.5     2.5     2.5 1
-1809  4  8     2.4     2.4     2.4 1
-1809  4  9     4.1     4.1     4.1 1
-1809  4 10     1.6     1.6     1.6 1
-1809  4 11    -6.1    -6.1    -6.1 1
-1809  4 12    -8.8    -8.8    -8.8 1
-1809  4 13    -9.2    -9.2    -9.2 1
-1809  4 14    -5.2    -5.2    -5.2 1
-1809  4 15    -2.2    -2.2    -2.2 1
-1809  4 16    -5.9    -5.9    -5.9 1
-1809  4 17    -0.1    -0.1    -0.1 1
-1809  4 18     4.2     4.2     4.2 1
-1809  4 19     2.4     2.4     2.4 1
-1809  4 20     5.6     5.6     5.6 1
-1809  4 21     4.6     4.6     4.6 1
-1809  4 22     2.5     2.5     2.5 1
-1809  4 23     1.6     1.6     1.6 1
-1809  4 24     2.7     2.7     2.7 1
-1809  4 25     4.8     4.8     4.8 1
-1809  4 26     5.3     5.3     5.3 1
-1809  4 27     5.0     5.0     5.0 1
-1809  4 28     4.0     4.0     4.0 1
-1809  4 29     3.2     3.2     3.2 1
-1809  4 30     4.8     4.8     4.8 1
-1809  5  1     3.1     3.1     3.1 1
-1809  5  2     6.2     6.2     6.2 1
-1809  5  3     7.0     7.0     7.0 1
-1809  5  4     6.0     6.0     6.0 1
-1809  5  5     9.3     9.3     9.2 1
-1809  5  6     5.2     5.2     5.1 1
-1809  5  7     5.2     5.2     5.1 1
-1809  5  8     5.0     5.0     4.9 1
-1809  5  9     7.9     7.9     7.8 1
-1809  5 10    11.8    11.8    11.6 1
-1809  5 11     9.9     9.9     9.7 1
-1809  5 12     5.8     5.8     5.6 1
-1809  5 13     5.7     5.7     5.5 1
-1809  5 14    12.6    12.6    12.3 1
-1809  5 15    11.1    11.1    10.8 1
-1809  5 16     8.9     8.9     8.6 1
-1809  5 17    15.8    15.8    15.5 1
-1809  5 18    16.1    16.1    15.8 1
-1809  5 19    15.5    15.5    15.1 1
-1809  5 20    17.1    17.1    16.7 1
-1809  5 21    18.3    18.3    17.9 1
-1809  5 22    14.2    14.2    13.8 1
-1809  5 23    12.8    12.8    12.3 1
-1809  5 24    17.2    17.2    16.7 1
-1809  5 25    16.5    16.5    16.0 1
-1809  5 26    16.6    16.6    16.1 1
-1809  5 27    17.9    17.9    17.4 1
-1809  5 28    16.1    16.1    15.5 1
-1809  5 29    13.1    13.1    12.5 1
-1809  5 30    11.3    11.3    10.7 1
-1809  5 31     9.9     9.9     9.3 1
-1809  6  1    11.0    11.0    10.3 1
-1809  6  2    12.9    12.9    12.2 1
-1809  6  3    14.1    14.1    13.4 1
-1809  6  4    13.5    13.5    12.8 1
-1809  6  5    12.4    12.4    11.7 1
-1809  6  6    13.3    13.3    12.6 1
-1809  6  7    13.1    13.1    12.4 1
-1809  6  8    16.1    16.1    15.4 1
-1809  6  9    16.6    16.6    15.9 1
-1809  6 10    11.3    11.3    10.6 1
-1809  6 11    12.8    12.8    12.1 1
-1809  6 12    13.4    13.4    12.7 1
-1809  6 13    13.8    13.8    13.1 1
-1809  6 14    16.8    16.8    16.1 1
-1809  6 15    16.4    16.4    15.7 1
-1809  6 16    13.7    13.7    13.0 1
-1809  6 17    13.0    13.0    12.3 1
-1809  6 18     9.3     9.3     8.6 1
-1809  6 19    10.0    10.0     9.3 1
-1809  6 20    13.3    13.3    12.6 1
-1809  6 21    10.0    10.0     9.3 1
-1809  6 22    13.1    13.1    12.4 1
-1809  6 23    17.8    17.8    17.1 1
-1809  6 24    18.1    18.1    17.4 1
-1809  6 25    10.3    10.3     9.6 1
-1809  6 26    14.6    14.6    13.9 1
-1809  6 27    14.9    14.9    14.2 1
-1809  6 28    18.5    18.5    17.8 1
-1809  6 29    20.8    20.8    20.1 1
-1809  6 30    19.5    19.5    18.8 1
-1809  7  1    18.1    18.1    17.4 1
-1809  7  2    17.8    17.8    17.1 1
-1809  7  3    18.3    18.3    17.6 1
-1809  7  4    19.2    19.2    18.5 1
-1809  7  5    17.8    17.8    17.1 1
-1809  7  6    22.1    22.1    21.4 1
-1809  7  7    21.7    21.7    21.0 1
-1809  7  8    19.8    19.8    19.1 1
-1809  7  9    18.8    18.8    18.1 1
-1809  7 10    18.8    18.8    18.1 1
-1809  7 11    20.5    20.5    19.8 1
-1809  7 12    21.4    21.4    20.7 1
-1809  7 13    15.3    15.3    14.6 1
-1809  7 14     9.7     9.7     9.0 1
-1809  7 15    14.1    14.1    13.4 1
-1809  7 16    10.8    10.8    10.1 1
-1809  7 17    12.3    12.3    11.6 1
-1809  7 18    10.8    10.8    10.1 1
-1809  7 19    14.8    14.8    14.1 1
-1809  7 20    14.7    14.7    14.0 1
-1809  7 21    17.4    17.4    16.7 1
-1809  7 22    19.4    19.4    18.7 1
-1809  7 23    20.5    20.5    19.8 1
-1809  7 24    19.0    19.0    18.3 1
-1809  7 25    16.5    16.5    15.8 1
-1809  7 26    17.5    17.5    16.8 1
-1809  7 27    19.1    19.1    18.4 1
-1809  7 28    20.4    20.4    19.7 1
-1809  7 29    19.1    19.1    18.4 1
-1809  7 30    18.3    18.3    17.6 1
-1809  7 31    19.2    19.2    18.5 1
-1809  8  1    16.5    16.5    15.9 1
-1809  8  2    17.7    17.7    17.1 1
-1809  8  3    19.3    19.3    18.7 1
-1809  8  4    16.9    16.9    16.3 1
-1809  8  5    17.3    17.3    16.8 1
-1809  8  6    18.6    18.6    18.1 1
-1809  8  7    17.5    17.5    17.0 1
-1809  8  8    17.3    17.3    16.8 1
-1809  8  9    17.0    17.0    16.5 1
-1809  8 10    17.7    17.7    17.3 1
-1809  8 11    17.4    17.4    17.0 1
-1809  8 12    18.1    18.1    17.7 1
-1809  8 13    19.1    19.1    18.7 1
-1809  8 14    19.4    19.4    19.1 1
-1809  8 15    19.5    19.5    19.2 1
-1809  8 16    19.3    19.3    19.0 1
-1809  8 17    18.3    18.3    18.0 1
-1809  8 18    18.8    18.8    18.5 1
-1809  8 19    19.8    19.8    19.6 1
-1809  8 20    17.2    17.2    17.0 1
-1809  8 21    17.5    17.5    17.3 1
-1809  8 22    18.8    18.8    18.6 1
-1809  8 23    18.4    18.4    18.3 1
-1809  8 24    19.1    19.1    19.0 1
-1809  8 25    19.7    19.7    19.6 1
-1809  8 26    18.6    18.6    18.5 1
-1809  8 27    18.9    18.9    18.8 1
-1809  8 28    18.7    18.7    18.7 1
-1809  8 29    17.8    17.8    17.8 1
-1809  8 30    17.8    17.8    17.8 1
-1809  8 31    17.5    17.5    17.5 1
-1809  9  1    18.5    18.5    18.5 1
-1809  9  2    19.2    19.2    19.2 1
-1809  9  3    19.5    19.5    19.5 1
-1809  9  4    16.5    16.5    16.5 1
-1809  9  5    15.8    15.8    15.8 1
-1809  9  6    18.5    18.5    18.5 1
-1809  9  7    19.5    19.5    19.5 1
-1809  9  8    18.1    18.1    18.1 1
-1809  9  9    18.3    18.3    18.3 1
-1809  9 10    17.1    17.1    17.1 1
-1809  9 11    14.9    14.9    14.9 1
-1809  9 12     9.6     9.6     9.6 1
-1809  9 13     7.6     7.6     7.6 1
-1809  9 14     9.4     9.4     9.4 1
-1809  9 15    10.6    10.6    10.6 1
-1809  9 16    12.4    12.4    12.4 1
-1809  9 17    11.9    11.9    11.9 1
-1809  9 18    11.6    11.6    11.6 1
-1809  9 19    11.6    11.6    11.6 1
-1809  9 20     9.7     9.7     9.7 1
-1809  9 21     9.4     9.4     9.4 1
-1809  9 22    10.7    10.7    10.7 1
-1809  9 23    14.4    14.4    14.4 1
-1809  9 24    11.7    11.7    11.7 1
-1809  9 25     8.2     8.2     8.2 1
-1809  9 26     8.3     8.3     8.3 1
-1809  9 27     8.8     8.8     8.8 1
-1809  9 28     9.7     9.7     9.7 1
-1809  9 29     8.2     8.2     8.2 1
-1809  9 30     8.5     8.5     8.5 1
-1809 10  1     6.6     6.6     6.6 1
-1809 10  2     8.6     8.6     8.6 1
-1809 10  3    10.3    10.3    10.3 1
-1809 10  4    14.0    14.0    14.0 1
-1809 10  5     8.4     8.4     8.4 1
-1809 10  6     5.4     5.4     5.4 1
-1809 10  7     2.4     2.4     2.4 1
-1809 10  8     1.8     1.8     1.8 1
-1809 10  9     1.4     1.4     1.4 1
-1809 10 10     1.6     1.6     1.6 1
-1809 10 11     4.3     4.3     4.3 1
-1809 10 12     5.9     5.9     5.9 1
-1809 10 13     5.2     5.2     5.2 1
-1809 10 14     5.5     5.5     5.5 1
-1809 10 15     5.4     5.4     5.4 1
-1809 10 16     3.7     3.7     3.7 1
-1809 10 17     5.2     5.2     5.2 1
-1809 10 18     6.1     6.1     6.1 1
-1809 10 19     9.6     9.6     9.6 1
-1809 10 20     8.0     8.0     8.0 1
-1809 10 21     3.7     3.7     3.7 1
-1809 10 22     6.7     6.7     6.7 1
-1809 10 23     7.2     7.2     7.2 1
-1809 10 24     7.2     7.2     7.2 1
-1809 10 25     5.1     5.1     5.1 1
-1809 10 26     5.2     5.2     5.2 1
-1809 10 27     5.9     5.9     5.9 1
-1809 10 28     6.2     6.2     6.2 1
-1809 10 29     4.8     4.8     4.8 1
-1809 10 30     9.4     9.4     9.4 1
-1809 10 31     8.7     8.7     8.7 1
-1809 11  1     3.2     3.2     3.2 1
-1809 11  2     0.7     0.7     0.7 1
-1809 11  3     0.2     0.2     0.2 1
-1809 11  4     1.7     1.7     1.7 1
-1809 11  5     3.4     3.4     3.4 1
-1809 11  6     4.7     4.7     4.7 1
-1809 11  7     4.9     4.9     4.9 1
-1809 11  8     4.9     4.9     4.9 1
-1809 11  9     8.4     8.4     8.4 1
-1809 11 10     6.0     6.0     6.0 1
-1809 11 11     7.4     7.4     7.4 1
-1809 11 12     4.5     4.5     4.5 1
-1809 11 13     1.9     1.9     1.9 1
-1809 11 14     4.4     4.4     4.4 1
-1809 11 15    -1.8    -1.8    -1.8 1
-1809 11 16    -5.1    -5.1    -5.1 1
-1809 11 17    -8.3    -8.3    -8.3 1
-1809 11 18    -5.8    -5.8    -5.8 1
-1809 11 19    -8.5    -8.5    -8.5 1
-1809 11 20    -2.8    -2.8    -2.8 1
-1809 11 21    -3.8    -3.8    -3.8 1
-1809 11 22    -6.9    -6.9    -6.9 1
-1809 11 23   -12.6   -12.6   -12.6 1
-1809 11 24    -5.2    -5.2    -5.2 1
-1809 11 25    -5.8    -5.8    -5.8 1
-1809 11 26    -0.6    -0.6    -0.6 1
-1809 11 27    -0.4    -0.4    -0.4 1
-1809 11 28     0.6     0.6     0.6 1
-1809 11 29     1.1     1.1     1.1 1
-1809 11 30    -0.1    -0.1    -0.1 1
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-1809 12  3     2.4     2.4     2.4 1
-1809 12  4     2.1     2.1     2.1 1
-1809 12  5     1.7     1.7     1.7 1
-1809 12  6     1.2     1.2     1.2 1
-1809 12  7     1.9     1.9     1.9 1
-1809 12  8     2.3     2.3     2.3 1
-1809 12  9     2.1     2.1     2.1 1
-1809 12 10     1.8     1.8     1.8 1
-1809 12 11     3.6     3.6     3.6 1
-1809 12 12     2.1     2.1     2.1 1
-1809 12 13     2.2     2.2     2.2 1
-1809 12 14     1.9     1.9     1.9 1
-1809 12 15     1.9     1.9     1.9 1
-1809 12 16     0.6     0.6     0.6 1
-1809 12 17     2.4     2.4     2.4 1
-1809 12 18     3.1     3.1     3.1 1
-1809 12 19     2.9     2.9     2.9 1
-1809 12 20     3.4     3.4     3.4 1
-1809 12 21     3.1     3.1     3.1 1
-1809 12 22     3.3     3.3     3.3 1
-1809 12 23     1.6     1.6     1.6 1
-1809 12 24     2.4     2.4     2.4 1
-1809 12 25     0.9     0.9     0.9 1
-1809 12 26     1.8     1.8     1.8 1
-1809 12 27     1.6     1.6     1.6 1
-1809 12 28     1.3     1.3     1.3 1
-1809 12 29     1.3     1.3     1.3 1
-1809 12 30     0.8     0.8     0.8 1
-1809 12 31    -1.3    -1.3    -1.3 1
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-1810  1  2    -2.4    -2.4    -2.4 1
-1810  1  3     3.2     3.2     3.2 1
-1810  1  4     0.9     0.9     0.9 1
-1810  1  5     4.2     4.2     4.2 1
-1810  1  6     3.9     3.9     3.9 1
-1810  1  7     3.1     3.1     3.1 1
-1810  1  8     0.5     0.5     0.5 1
-1810  1  9    -1.6    -1.6    -1.6 1
-1810  1 10    -2.1    -2.1    -2.1 1
-1810  1 11    -3.1    -3.1    -3.1 1
-1810  1 12    -7.1    -7.1    -7.1 1
-1810  1 13    -8.9    -8.9    -8.9 1
-1810  1 14    -9.4    -9.4    -9.4 1
-1810  1 15    -8.3    -8.3    -8.3 1
-1810  1 16    -5.5    -5.5    -5.5 1
-1810  1 17    -0.6    -0.6    -0.6 1
-1810  1 18    -6.1    -6.1    -6.1 1
-1810  1 19    -4.5    -4.5    -4.5 1
-1810  1 20    -3.6    -3.6    -3.6 1
-1810  1 21    -2.6    -2.6    -2.6 1
-1810  1 22    -3.5    -3.5    -3.5 1
-1810  1 23    -4.1    -4.1    -4.1 1
-1810  1 24    -1.6    -1.6    -1.6 1
-1810  1 25     2.2     2.2     2.2 1
-1810  1 26    -1.2    -1.2    -1.2 1
-1810  1 27     1.3     1.3     1.3 1
-1810  1 28    -1.0    -1.0    -1.0 1
-1810  1 29    -1.2    -1.2    -1.2 1
-1810  1 30    -2.5    -2.5    -2.5 1
-1810  1 31    -1.2    -1.2    -1.2 1
-1810  2  1    -0.1    -0.1    -0.1 1
-1810  2  2     2.5     2.5     2.5 1
-1810  2  3     2.0     2.0     2.0 1
-1810  2  4     1.5     1.5     1.5 1
-1810  2  5    -4.2    -4.2    -4.2 1
-1810  2  6     4.2     4.2     4.2 1
-1810  2  7     1.8     1.8     1.8 1
-1810  2  8    -2.5    -2.5    -2.5 1
-1810  2  9     2.4     2.4     2.4 1
-1810  2 10     2.8     2.8     2.8 1
-1810  2 11    -1.2    -1.2    -1.2 1
-1810  2 12    -5.2    -5.2    -5.2 1
-1810  2 13    -5.1    -5.1    -5.1 1
-1810  2 14   -10.6   -10.6   -10.6 1
-1810  2 15   -13.2   -13.2   -13.2 1
-1810  2 16    -8.8    -8.8    -8.8 1
-1810  2 17    -9.7    -9.7    -9.7 1
-1810  2 18   -13.1   -13.1   -13.1 1
-1810  2 19   -14.0   -14.0   -14.0 1
-1810  2 20   -15.5   -15.5   -15.5 1
-1810  2 21   -11.2   -11.2   -11.2 1
-1810  2 22    -3.3    -3.3    -3.3 1
-1810  2 23    -2.2    -2.2    -2.2 1
-1810  2 24    -1.4    -1.4    -1.4 1
-1810  2 25    -0.1    -0.1    -0.1 1
-1810  2 26    -0.1    -0.1    -0.1 1
-1810  2 27    -0.8    -0.8    -0.8 1
-1810  2 28    -2.6    -2.6    -2.6 1
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-1810  3  4    -2.8    -2.8    -2.8 1
-1810  3  5    -2.3    -2.3    -2.3 1
-1810  3  6    -5.8    -5.8    -5.8 1
-1810  3  7    -6.8    -6.8    -6.8 1
-1810  3  8    -1.7    -1.7    -1.7 1
-1810  3  9     1.1     1.1     1.1 1
-1810  3 10     0.3     0.3     0.3 1
-1810  3 11    -4.7    -4.7    -4.7 1
-1810  3 12    -5.2    -5.2    -5.2 1
-1810  3 13    -1.4    -1.4    -1.4 1
-1810  3 14     0.0     0.0     0.0 1
-1810  3 15    -5.9    -5.9    -5.9 1
-1810  3 16    -5.9    -5.9    -5.9 1
-1810  3 17    -8.0    -8.0    -8.0 1
-1810  3 18    -5.5    -5.5    -5.5 1
-1810  3 19    -0.7    -0.7    -0.7 1
-1810  3 20    -6.3    -6.3    -6.3 1
-1810  3 21    -7.7    -7.7    -7.7 1
-1810  3 22    -9.7    -9.7    -9.7 1
-1810  3 23    -7.7    -7.7    -7.7 1
-1810  3 24    -6.7    -6.7    -6.7 1
-1810  3 25   -10.6   -10.6   -10.6 1
-1810  3 26    -4.8    -4.8    -4.8 1
-1810  3 27    -2.3    -2.3    -2.3 1
-1810  3 28    -1.3    -1.3    -1.3 1
-1810  3 29    -6.1    -6.1    -6.1 1
-1810  3 30    -1.9    -1.9    -1.9 1
-1810  3 31    -4.3    -4.3    -4.3 1
-1810  4  1    -6.9    -6.9    -6.9 1
-1810  4  2    -4.7    -4.7    -4.7 1
-1810  4  3    -1.9    -1.9    -1.9 1
-1810  4  4    -4.0    -4.0    -4.0 1
-1810  4  5    -4.2    -4.2    -4.2 1
-1810  4  6     1.6     1.6     1.6 1
-1810  4  7    -1.9    -1.9    -1.9 1
-1810  4  8    -0.8    -0.8    -0.8 1
-1810  4  9    -2.5    -2.5    -2.5 1
-1810  4 10    -2.5    -2.5    -2.5 1
-1810  4 11    -6.0    -6.0    -6.0 1
-1810  4 12    -7.1    -7.1    -7.1 1
-1810  4 13    -6.1    -6.1    -6.1 1
-1810  4 14    -1.1    -1.1    -1.1 1
-1810  4 15     1.5     1.5     1.5 1
-1810  4 16    -1.5    -1.5    -1.5 1
-1810  4 17    -0.7    -0.7    -0.7 1
-1810  4 18    -1.2    -1.2    -1.2 1
-1810  4 19     1.1     1.1     1.1 1
-1810  4 20     0.5     0.5     0.5 1
-1810  4 21     3.2     3.2     3.2 1
-1810  4 22     4.9     4.9     4.9 1
-1810  4 23     4.5     4.5     4.5 1
-1810  4 24     2.0     2.0     2.0 1
-1810  4 25    -0.7    -0.7    -0.7 1
-1810  4 26     7.0     7.0     7.0 1
-1810  4 27     8.7     8.7     8.7 1
-1810  4 28    10.4    10.4    10.4 1
-1810  4 29    10.9    10.9    10.9 1
-1810  4 30     6.0     6.0     6.0 1
-1810  5  1     2.8     2.8     2.8 1
-1810  5  2     3.9     3.9     3.9 1
-1810  5  3     6.3     6.3     6.3 1
-1810  5  4     5.6     5.6     5.6 1
-1810  5  5     3.2     3.2     3.1 1
-1810  5  6     3.2     3.2     3.1 1
-1810  5  7     4.7     4.7     4.6 1
-1810  5  8     2.5     2.5     2.4 1
-1810  5  9     3.3     3.3     3.2 1
-1810  5 10     4.4     4.4     4.2 1
-1810  5 11     4.9     4.9     4.7 1
-1810  5 12     5.4     5.4     5.2 1
-1810  5 13     9.1     9.1     8.9 1
-1810  5 14     5.2     5.2     4.9 1
-1810  5 15     3.3     3.3     3.0 1
-1810  5 16     4.0     4.0     3.7 1
-1810  5 17     4.1     4.1     3.8 1
-1810  5 18     6.6     6.6     6.3 1
-1810  5 19     8.9     8.9     8.5 1
-1810  5 20    10.4    10.4    10.0 1
-1810  5 21    12.8    12.8    12.4 1
-1810  5 22    11.1    11.1    10.7 1
-1810  5 23    13.2    13.2    12.7 1
-1810  5 24     8.8     8.8     8.3 1
-1810  5 25    10.6    10.6    10.1 1
-1810  5 26     8.8     8.8     8.3 1
-1810  5 27    12.5    12.5    12.0 1
-1810  5 28     8.4     8.4     7.8 1
-1810  5 29    11.5    11.5    10.9 1
-1810  5 30    11.5    11.5    10.9 1
-1810  5 31    10.5    10.5     9.9 1
-1810  6  1    11.5    11.5    10.8 1
-1810  6  2    12.7    12.7    12.0 1
-1810  6  3    12.5    12.5    11.8 1
-1810  6  4    15.6    15.6    14.9 1
-1810  6  5    13.2    13.2    12.5 1
-1810  6  6    14.3    14.3    13.6 1
-1810  6  7    11.3    11.3    10.6 1
-1810  6  8     7.5     7.5     6.8 1
-1810  6  9     6.8     6.8     6.1 1
-1810  6 10     7.3     7.3     6.6 1
-1810  6 11     9.2     9.2     8.5 1
-1810  6 12    13.5    13.5    12.8 1
-1810  6 13    14.8    14.8    14.1 1
-1810  6 14    15.2    15.2    14.5 1
-1810  6 15    14.8    14.8    14.1 1
-1810  6 16    11.3    11.3    10.6 1
-1810  6 17     9.4     9.4     8.7 1
-1810  6 18    11.8    11.8    11.1 1
-1810  6 19    11.2    11.2    10.5 1
-1810  6 20     9.5     9.5     8.8 1
-1810  6 21     8.3     8.3     7.6 1
-1810  6 22    13.0    13.0    12.3 1
-1810  6 23    13.5    13.5    12.8 1
-1810  6 24    17.5    17.5    16.8 1
-1810  6 25    19.2    19.2    18.5 1
-1810  6 26    20.0    20.0    19.3 1
-1810  6 27    22.7    22.7    22.0 1
-1810  6 28    22.0    22.0    21.3 1
-1810  6 29    20.8    20.8    20.1 1
-1810  6 30    21.0    21.0    20.3 1
-1810  7  1    19.5    19.5    18.8 1
-1810  7  2    17.8    17.8    17.1 1
-1810  7  3    18.7    18.7    18.0 1
-1810  7  4    14.7    14.7    14.0 1
-1810  7  5    15.3    15.3    14.6 1
-1810  7  6    16.7    16.7    16.0 1
-1810  7  7    17.3    17.3    16.6 1
-1810  7  8    19.8    19.8    19.1 1
-1810  7  9    16.8    16.8    16.1 1
-1810  7 10    13.2    13.2    12.5 1
-1810  7 11    19.0    19.0    18.3 1
-1810  7 12    22.2    22.2    21.5 1
-1810  7 13    23.0    23.0    22.3 1
-1810  7 14    20.7    20.7    20.0 1
-1810  7 15    20.8    20.8    20.1 1
-1810  7 16    20.2    20.2    19.5 1
-1810  7 17    16.8    16.8    16.1 1
-1810  7 18    18.2    18.2    17.5 1
-1810  7 19    17.5    17.5    16.8 1
-1810  7 20    14.0    14.0    13.3 1
-1810  7 21    13.2    13.2    12.5 1
-1810  7 22    18.4    18.4    17.7 1
-1810  7 23    16.4    16.4    15.7 1
-1810  7 24    15.8    15.8    15.1 1
-1810  7 25    17.1    17.1    16.4 1
-1810  7 26    16.5    16.5    15.8 1
-1810  7 27    20.0    20.0    19.3 1
-1810  7 28    19.3    19.3    18.6 1
-1810  7 29    19.8    19.8    19.1 1
-1810  7 30    18.5    18.5    17.8 1
-1810  7 31    19.2    19.2    18.5 1
-1810  8  1    16.0    16.0    15.4 1
-1810  8  2    17.3    17.3    16.7 1
-1810  8  3    14.5    14.5    13.9 1
-1810  8  4    14.6    14.6    14.0 1
-1810  8  5    15.1    15.1    14.6 1
-1810  8  6    17.5    17.5    17.0 1
-1810  8  7    16.0    16.0    15.5 1
-1810  8  8    18.6    18.6    18.1 1
-1810  8  9    16.1    16.1    15.6 1
-1810  8 10    16.9    16.9    16.5 1
-1810  8 11    17.4    17.4    17.0 1
-1810  8 12    18.9    18.9    18.5 1
-1810  8 13    17.4    17.4    17.0 1
-1810  8 14    17.6    17.6    17.3 1
-1810  8 15    17.3    17.3    17.0 1
-1810  8 16    16.7    16.7    16.4 1
-1810  8 17    16.7    16.7    16.4 1
-1810  8 18    17.3    17.3    17.0 1
-1810  8 19    15.5    15.5    15.3 1
-1810  8 20    15.9    15.9    15.7 1
-1810  8 21    16.2    16.2    16.0 1
-1810  8 22    17.3    17.3    17.1 1
-1810  8 23    19.6    19.6    19.5 1
-1810  8 24    18.8    18.8    18.7 1
-1810  8 25    20.5    20.5    20.4 1
-1810  8 26    19.9    19.9    19.8 1
-1810  8 27    18.9    18.9    18.8 1
-1810  8 28    18.9    18.9    18.9 1
-1810  8 29    18.3    18.3    18.3 1
-1810  8 30    18.0    18.0    18.0 1
-1810  8 31    12.7    12.7    12.7 1
-1810  9  1    12.9    12.9    12.9 1
-1810  9  2    18.2    18.2    18.2 1
-1810  9  3    21.2    21.2    21.2 1
-1810  9  4    16.2    16.2    16.2 1
-1810  9  5    13.2    13.2    13.2 1
-1810  9  6    13.5    13.5    13.5 1
-1810  9  7    12.5    12.5    12.5 1
-1810  9  8    12.1    12.1    12.1 1
-1810  9  9    13.5    13.5    13.5 1
-1810  9 10    12.8    12.8    12.8 1
-1810  9 11    14.3    14.3    14.3 1
-1810  9 12    12.6    12.6    12.6 1
-1810  9 13    12.3    12.3    12.3 1
-1810  9 14    12.6    12.6    12.6 1
-1810  9 15     9.3     9.3     9.3 1
-1810  9 16     9.9     9.9     9.9 1
-1810  9 17    12.6    12.6    12.6 1
-1810  9 18    13.6    13.6    13.6 1
-1810  9 19    11.3    11.3    11.3 1
-1810  9 20    13.1    13.1    13.1 1
-1810  9 21    14.1    14.1    14.1 1
-1810  9 22    13.4    13.4    13.4 1
-1810  9 23    14.7    14.7    14.7 1
-1810  9 24    13.7    13.7    13.7 1
-1810  9 25    11.7    11.7    11.7 1
-1810  9 26    10.7    10.7    10.7 1
-1810  9 27    11.7    11.7    11.7 1
-1810  9 28    12.2    12.2    12.2 1
-1810  9 29    11.0    11.0    11.0 1
-1810  9 30    10.2    10.2    10.2 1
-1810 10  1     9.3     9.3     9.3 1
-1810 10  2     8.0     8.0     8.0 1
-1810 10  3    12.1    12.1    12.1 1
-1810 10  4    12.3    12.3    12.3 1
-1810 10  5    13.0    13.0    13.0 1
-1810 10  6    10.4    10.4    10.4 1
-1810 10  7     9.9     9.9     9.9 1
-1810 10  8     4.6     4.6     4.6 1
-1810 10  9     2.6     2.6     2.6 1
-1810 10 10     6.6     6.6     6.6 1
-1810 10 11     6.8     6.8     6.8 1
-1810 10 12     6.2     6.2     6.2 1
-1810 10 13     6.9     6.9     6.9 1
-1810 10 14     2.1     2.1     2.1 1
-1810 10 15     3.7     3.7     3.7 1
-1810 10 16     5.2     5.2     5.2 1
-1810 10 17     6.9     6.9     6.9 1
-1810 10 18     3.7     3.7     3.7 1
-1810 10 19     6.6     6.6     6.6 1
-1810 10 20     5.0     5.0     5.0 1
-1810 10 21     5.1     5.1     5.1 1
-1810 10 22     2.1     2.1     2.1 1
-1810 10 23     2.2     2.2     2.2 1
-1810 10 24    -1.0    -1.0    -1.0 1
-1810 10 25    -2.0    -2.0    -2.0 1
-1810 10 26     2.0     2.0     2.0 1
-1810 10 27     5.0     5.0     5.0 1
-1810 10 28     4.6     4.6     4.6 1
-1810 10 29     4.7     4.7     4.7 1
-1810 10 30     0.5     0.5     0.5 1
-1810 10 31    -1.0    -1.0    -1.0 1
-1810 11  1     0.8     0.8     0.8 1
-1810 11  2    -1.5    -1.5    -1.5 1
-1810 11  3     0.5     0.5     0.5 1
-1810 11  4     2.2     2.2     2.2 1
-1810 11  5     3.7     3.7     3.7 1
-1810 11  6     4.6     4.6     4.6 1
-1810 11  7     4.7     4.7     4.7 1
-1810 11  8     7.1     7.1     7.1 1
-1810 11  9     5.1     5.1     5.1 1
-1810 11 10     4.1     4.1     4.1 1
-1810 11 11     2.6     2.6     2.6 1
-1810 11 12     1.1     1.1     1.1 1
-1810 11 13    -2.8    -2.8    -2.8 1
-1810 11 14    -7.1    -7.1    -7.1 1
-1810 11 15    -0.6    -0.6    -0.6 1
-1810 11 16     1.2     1.2     1.2 1
-1810 11 17     1.2     1.2     1.2 1
-1810 11 18     0.6     0.6     0.6 1
-1810 11 19    -0.9    -0.9    -0.9 1
-1810 11 20    -3.4    -3.4    -3.4 1
-1810 11 21    -5.1    -5.1    -5.1 1
-1810 11 22    -2.6    -2.6    -2.6 1
-1810 11 23     0.3     0.3     0.3 1
-1810 11 24     2.6     2.6     2.6 1
-1810 11 25    -1.9    -1.9    -1.9 1
-1810 11 26    -2.7    -2.7    -2.7 1
-1810 11 27    -1.9    -1.9    -1.9 1
-1810 11 28    -0.8    -0.8    -0.8 1
-1810 11 29     2.8     2.8     2.8 1
-1810 11 30     4.6     4.6     4.6 1
-1810 12  1     4.1     4.1     4.1 1
-1810 12  2     2.9     2.9     2.9 1
-1810 12  3    -3.8    -3.8    -3.8 1
-1810 12  4     0.3     0.3     0.3 1
-1810 12  5     0.6     0.6     0.6 1
-1810 12  6     1.4     1.4     1.4 1
-1810 12  7     4.3     4.3     4.3 1
-1810 12  8     3.9     3.9     3.9 1
-1810 12  9     2.9     2.9     2.9 1
-1810 12 10    -2.3    -2.3    -2.3 1
-1810 12 11    -8.1    -8.1    -8.1 1
-1810 12 12    -7.4    -7.4    -7.4 1
-1810 12 13    -6.1    -6.1    -6.1 1
-1810 12 14    -8.6    -8.6    -8.6 1
-1810 12 15    -8.1    -8.1    -8.1 1
-1810 12 16    -4.9    -4.9    -4.9 1
-1810 12 17    -2.1    -2.1    -2.1 1
-1810 12 18    -5.4    -5.4    -5.4 1
-1810 12 19     0.3     0.3     0.3 1
-1810 12 20    -9.4    -9.4    -9.4 1
-1810 12 21    -6.8    -6.8    -6.8 1
-1810 12 22    -1.9    -1.9    -1.9 1
-1810 12 23    -8.4    -8.4    -8.4 1
-1810 12 24     2.4     2.4     2.4 1
-1810 12 25     2.1     2.1     2.1 1
-1810 12 26     0.9     0.9     0.9 1
-1810 12 27    -1.9    -1.9    -1.9 1
-1810 12 28    -6.3    -6.3    -6.3 1
-1810 12 29   -10.4   -10.4   -10.4 1
-1810 12 30    -8.4    -8.4    -8.4 1
-1810 12 31    -7.1    -7.1    -7.1 1
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-1811  1  2    -3.9    -3.9    -3.9 1
-1811  1  3    -8.1    -8.1    -8.1 1
-1811  1  4   -11.1   -11.1   -11.1 1
-1811  1  5   -12.5   -12.5   -12.5 1
-1811  1  6   -10.5   -10.5   -10.5 1
-1811  1  7   -10.8   -10.8   -10.8 1
-1811  1  8    -6.6    -6.6    -6.6 1
-1811  1  9   -11.5   -11.5   -11.5 1
-1811  1 10    -5.9    -5.9    -5.9 1
-1811  1 11    -2.6    -2.6    -2.6 1
-1811  1 12    -0.8    -0.8    -0.8 1
-1811  1 13     1.2     1.2     1.2 1
-1811  1 14    -0.3    -0.3    -0.3 1
-1811  1 15     1.6     1.6     1.6 1
-1811  1 16     0.8     0.8     0.8 1
-1811  1 17     0.5     0.5     0.5 1
-1811  1 18     1.0     1.0     1.0 1
-1811  1 19    -4.5    -4.5    -4.5 1
-1811  1 20    -2.0    -2.0    -2.0 1
-1811  1 21    -0.8    -0.8    -0.8 1
-1811  1 22     0.4     0.4     0.4 1
-1811  1 23     1.4     1.4     1.4 1
-1811  1 24    -2.0    -2.0    -2.0 1
-1811  1 25    -3.0    -3.0    -3.0 1
-1811  1 26     1.7     1.7     1.7 1
-1811  1 27    -5.7    -5.7    -5.7 1
-1811  1 28   -11.7   -11.7   -11.7 1
-1811  1 29    -9.8    -9.8    -9.8 1
-1811  1 30    -4.2    -4.2    -4.2 1
-1811  1 31    -5.3    -5.3    -5.3 1
-1811  2  1    -2.5    -2.5    -2.5 1
-1811  2  2     0.7     0.7     0.7 1
-1811  2  3    -0.8    -0.8    -0.8 1
-1811  2  4     1.4     1.4     1.4 1
-1811  2  5     1.3     1.3     1.3 1
-1811  2  6     2.5     2.5     2.5 1
-1811  2  7     1.9     1.9     1.9 1
-1811  2  8     2.5     2.5     2.5 1
-1811  2  9     2.5     2.5     2.5 1
-1811  2 10    -4.0    -4.0    -4.0 1
-1811  2 11    -3.7    -3.7    -3.7 1
-1811  2 12    -2.3    -2.3    -2.3 1
-1811  2 13    -6.0    -6.0    -6.0 1
-1811  2 14   -15.9   -15.9   -15.9 1
-1811  2 15   -12.7   -12.7   -12.7 1
-1811  2 16    -8.0    -8.0    -8.0 1
-1811  2 17    -7.8    -7.8    -7.8 1
-1811  2 18    -8.7    -8.7    -8.7 1
-1811  2 19    -4.0    -4.0    -4.0 1
-1811  2 20    -5.7    -5.7    -5.7 1
-1811  2 21    -3.7    -3.7    -3.7 1
-1811  2 22    -4.7    -4.7    -4.7 1
-1811  2 23    -3.4    -3.4    -3.4 1
-1811  2 24    -4.6    -4.6    -4.6 1
-1811  2 25    -4.6    -4.6    -4.6 1
-1811  2 26    -5.0    -5.0    -5.0 1
-1811  2 27    -3.9    -3.9    -3.9 1
-1811  2 28    -1.6    -1.6    -1.6 1
-1811  3  1     0.6     0.6     0.6 1
-1811  3  2     2.0     2.0     2.0 1
-1811  3  3     3.2     3.2     3.2 1
-1811  3  4     3.4     3.4     3.4 1
-1811  3  5     4.1     4.1     4.1 1
-1811  3  6     2.6     2.6     2.6 1
-1811  3  7     3.6     3.6     3.6 1
-1811  3  8     2.3     2.3     2.3 1
-1811  3  9     2.1     2.1     2.1 1
-1811  3 10    -2.6    -2.6    -2.6 1
-1811  3 11     7.6     7.6     7.6 1
-1811  3 12     4.8     4.8     4.8 1
-1811  3 13    -1.1    -1.1    -1.1 1
-1811  3 14    -1.6    -1.6    -1.6 1
-1811  3 15     4.3     4.3     4.3 1
-1811  3 16     4.1     4.1     4.1 1
-1811  3 17     4.3     4.3     4.3 1
-1811  3 18     5.0     5.0     5.0 1
-1811  3 19     4.3     4.3     4.3 1
-1811  3 20     2.5     2.5     2.5 1
-1811  3 21     4.5     4.5     4.5 1
-1811  3 22     3.7     3.7     3.7 1
-1811  3 23     1.7     1.7     1.7 1
-1811  3 24     2.9     2.9     2.9 1
-1811  3 25     1.5     1.5     1.5 1
-1811  3 26     2.5     2.5     2.5 1
-1811  3 27     4.0     4.0     4.0 1
-1811  3 28     3.9     3.9     3.9 1
-1811  3 29    -3.6    -3.6    -3.6 1
-1811  3 30    -3.6    -3.6    -3.6 1
-1811  3 31    -4.1    -4.1    -4.1 1
-1811  4  1    -4.9    -4.9    -4.9 1
-1811  4  2    -4.6    -4.6    -4.6 1
-1811  4  3    -8.2    -8.2    -8.2 1
-1811  4  4    -2.2    -2.2    -2.2 1
-1811  4  5     3.2     3.2     3.2 1
-1811  4  6     2.9     2.9     2.9 1
-1811  4  7     3.6     3.6     3.6 1
-1811  4  8     4.2     4.2     4.2 1
-1811  4  9    -0.7    -0.7    -0.7 1
-1811  4 10     2.8     2.8     2.8 1
-1811  4 11     2.6     2.6     2.6 1
-1811  4 12     0.5     0.5     0.5 1
-1811  4 13     1.5     1.5     1.5 1
-1811  4 14     3.2     3.2     3.2 1
-1811  4 15     1.3     1.3     1.3 1
-1811  4 16    -0.1    -0.1    -0.1 1
-1811  4 17     0.4     0.4     0.4 1
-1811  4 18    -0.1    -0.1    -0.1 1
-1811  4 19     0.9     0.9     0.9 1
-1811  4 20     1.3     1.3     1.3 1
-1811  4 21     5.1     5.1     5.1 1
-1811  4 22     6.2     6.2     6.2 1
-1811  4 23     7.3     7.3     7.3 1
-1811  4 24     5.0     5.0     5.0 1
-1811  4 25     6.3     6.3     6.3 1
-1811  4 26     7.7     7.7     7.7 1
-1811  4 27     4.2     4.2     4.2 1
-1811  4 28     6.3     6.3     6.3 1
-1811  4 29     7.3     7.3     7.3 1
-1811  4 30     6.8     6.8     6.8 1
-1811  5  1     9.7     9.7     9.7 1
-1811  5  2     6.9     6.9     6.9 1
-1811  5  3     9.2     9.2     9.2 1
-1811  5  4     8.7     8.7     8.7 1
-1811  5  5    10.8    10.8    10.7 1
-1811  5  6     6.9     6.9     6.8 1
-1811  5  7     4.3     4.3     4.2 1
-1811  5  8     4.6     4.6     4.5 1
-1811  5  9     4.9     4.9     4.8 1
-1811  5 10     5.4     5.4     5.2 1
-1811  5 11     5.3     5.3     5.1 1
-1811  5 12    12.3    12.3    12.1 1
-1811  5 13     9.8     9.8     9.6 1
-1811  5 14    16.1    16.1    15.8 1
-1811  5 15    18.1    18.1    17.8 1
-1811  5 16    14.8    14.8    14.5 1
-1811  5 17    13.1    13.1    12.8 1
-1811  5 18    17.5    17.5    17.2 1
-1811  5 19    19.7    19.7    19.3 1
-1811  5 20    16.1    16.1    15.7 1
-1811  5 21    13.8    13.8    13.4 1
-1811  5 22    19.8    19.8    19.4 1
-1811  5 23    19.5    19.5    19.0 1
-1811  5 24    18.8    18.8    18.3 1
-1811  5 25    20.2    20.2    19.7 1
-1811  5 26    18.8    18.8    18.3 1
-1811  5 27    17.2    17.2    16.7 1
-1811  5 28    17.0    17.0    16.4 1
-1811  5 29    12.8    12.8    12.2 1
-1811  5 30    11.7    11.7    11.1 1
-1811  5 31     5.2     5.2     4.6 1
-1811  6  1     5.0     5.0     4.3 1
-1811  6  2    10.1    10.1     9.4 1
-1811  6  3    15.0    15.0    14.3 1
-1811  6  4    14.9    14.9    14.2 1
-1811  6  5    16.8    16.8    16.1 1
-1811  6  6    17.8    17.8    17.1 1
-1811  6  7    16.8    16.8    16.1 1
-1811  6  8    16.8    16.8    16.1 1
-1811  6  9    16.8    16.8    16.1 1
-1811  6 10    16.1    16.1    15.4 1
-1811  6 11    18.8    18.8    18.1 1
-1811  6 12    19.5    19.5    18.8 1
-1811  6 13    16.8    16.8    16.1 1
-1811  6 14    17.5    17.5    16.8 1
-1811  6 15    17.5    17.5    16.8 1
-1811  6 16    18.2    18.2    17.5 1
-1811  6 17    17.8    17.8    17.1 1
-1811  6 18    15.0    15.0    14.3 1
-1811  6 19    17.1    17.1    16.4 1
-1811  6 20    14.9    14.9    14.2 1
-1811  6 21    16.2    16.2    15.5 1
-1811  6 22    12.7    12.7    12.0 1
-1811  6 23    17.1    17.1    16.4 1
-1811  6 24    18.5    18.5    17.8 1
-1811  6 25    18.8    18.8    18.1 1
-1811  6 26    19.8    19.8    19.1 1
-1811  6 27    23.1    23.1    22.4 1
-1811  6 28    22.6    22.6    21.9 1
-1811  6 29    24.1    24.1    23.4 1
-1811  6 30    25.7    25.7    25.0 1
-1811  7  1    24.8    24.8    24.1 1
-1811  7  2    23.3    23.3    22.6 1
-1811  7  3    27.1    27.1    26.4 1
-1811  7  4    21.4    21.4    20.7 1
-1811  7  5    21.8    21.8    21.1 1
-1811  7  6    21.8    21.8    21.1 1
-1811  7  7    20.1    20.1    19.4 1
-1811  7  8    16.8    16.8    16.1 1
-1811  7  9    13.8    13.8    13.1 1
-1811  7 10    15.7    15.7    15.0 1
-1811  7 11    12.5    12.5    11.8 1
-1811  7 12    17.2    17.2    16.5 1
-1811  7 13    17.8    17.8    17.1 1
-1811  7 14    16.8    16.8    16.1 1
-1811  7 15    19.5    19.5    18.8 1
-1811  7 16    20.2    20.2    19.5 1
-1811  7 17    21.5    21.5    20.8 1
-1811  7 18    21.5    21.5    20.8 1
-1811  7 19    22.3    22.3    21.6 1
-1811  7 20    24.5    24.5    23.8 1
-1811  7 21    26.6    26.6    25.9 1
-1811  7 22    24.5    24.5    23.8 1
-1811  7 23    22.1    22.1    21.4 1
-1811  7 24    22.5    22.5    21.8 1
-1811  7 25    19.1    19.1    18.4 1
-1811  7 26    18.9    18.9    18.2 1
-1811  7 27    16.9    16.9    16.2 1
-1811  7 28    16.1    16.1    15.4 1
-1811  7 29    17.7    17.7    17.0 1
-1811  7 30    18.7    18.7    18.0 1
-1811  7 31    16.7    16.7    16.0 1
-1811  8  1    19.5    19.5    18.9 1
-1811  8  2    19.5    19.5    18.9 1
-1811  8  3    18.1    18.1    17.5 1
-1811  8  4    19.3    19.3    18.7 1
-1811  8  5    18.0    18.0    17.5 1
-1811  8  6    19.8    19.8    19.3 1
-1811  8  7    18.1    18.1    17.6 1
-1811  8  8    16.3    16.3    15.8 1
-1811  8  9    14.0    14.0    13.5 1
-1811  8 10    16.0    16.0    15.6 1
-1811  8 11    12.6    12.6    12.2 1
-1811  8 12    14.8    14.8    14.4 1
-1811  8 13    13.9    13.9    13.5 1
-1811  8 14    14.9    14.9    14.6 1
-1811  8 15    13.6    13.6    13.3 1
-1811  8 16    14.5    14.5    14.2 1
-1811  8 17    14.9    14.9    14.6 1
-1811  8 18    16.4    16.4    16.1 1
-1811  8 19    17.4    17.4    17.2 1
-1811  8 20    18.0    18.0    17.8 1
-1811  8 21    16.0    16.0    15.8 1
-1811  8 22    16.3    16.3    16.1 1
-1811  8 23    13.3    13.3    13.2 1
-1811  8 24    14.9    14.9    14.8 1
-1811  8 25    15.6    15.6    15.5 1
-1811  8 26    15.0    15.0    14.9 1
-1811  8 27    16.3    16.3    16.2 1
-1811  8 28    15.7    15.7    15.7 1
-1811  8 29    15.5    15.5    15.5 1
-1811  8 30    15.5    15.5    15.5 1
-1811  8 31    15.4    15.4    15.4 1
-1811  9  1    14.2    14.2    14.2 1
-1811  9  2    11.8    11.8    11.8 1
-1811  9  3    10.0    10.0    10.0 1
-1811  9  4    10.7    10.7    10.7 1
-1811  9  5    13.2    13.2    13.2 1
-1811  9  6    14.2    14.2    14.2 1
-1811  9  7    15.9    15.9    15.9 1
-1811  9  8    15.0    15.0    15.0 1
-1811  9  9    14.5    14.5    14.5 1
-1811  9 10    14.8    14.8    14.8 1
-1811  9 11    15.3    15.3    15.3 1
-1811  9 12    12.3    12.3    12.3 1
-1811  9 13    10.8    10.8    10.8 1
-1811  9 14    11.0    11.0    11.0 1
-1811  9 15     7.8     7.8     7.8 1
-1811  9 16     7.8     7.8     7.8 1
-1811  9 17     7.1     7.1     7.1 1
-1811  9 18    10.6    10.6    10.6 1
-1811  9 19    12.4    12.4    12.4 1
-1811  9 20    11.2    11.2    11.2 1
-1811  9 21    11.1    11.1    11.1 1
-1811  9 22    12.0    12.0    12.0 1
-1811  9 23    11.2    11.2    11.2 1
-1811  9 24    11.7    11.7    11.7 1
-1811  9 25    12.1    12.1    12.1 1
-1811  9 26    11.0    11.0    11.0 1
-1811  9 27    10.5    10.5    10.5 1
-1811  9 28    10.2    10.2    10.2 1
-1811  9 29    11.0    11.0    11.0 1
-1811  9 30    10.2    10.2    10.2 1
-1811 10  1     9.6     9.6     9.6 1
-1811 10  2     9.0     9.0     9.0 1
-1811 10  3     5.0     5.0     5.0 1
-1811 10  4     5.6     5.6     5.6 1
-1811 10  5     7.3     7.3     7.3 1
-1811 10  6     8.6     8.6     8.6 1
-1811 10  7     9.0     9.0     9.0 1
-1811 10  8     8.6     8.6     8.6 1
-1811 10  9     5.6     5.6     5.6 1
-1811 10 10     1.4     1.4     1.4 1
-1811 10 11     3.6     3.6     3.6 1
-1811 10 12     6.4     6.4     6.4 1
-1811 10 13     4.6     4.6     4.6 1
-1811 10 14     4.3     4.3     4.3 1
-1811 10 15     4.1     4.1     4.1 1
-1811 10 16     5.1     5.1     5.1 1
-1811 10 17     5.7     5.7     5.7 1
-1811 10 18     5.9     5.9     5.9 1
-1811 10 19     9.9     9.9     9.9 1
-1811 10 20     8.0     8.0     8.0 1
-1811 10 21     8.7     8.7     8.7 1
-1811 10 22     7.9     7.9     7.9 1
-1811 10 23    10.2    10.2    10.2 1
-1811 10 24     8.9     8.9     8.9 1
-1811 10 25     7.2     7.2     7.2 1
-1811 10 26     0.9     0.9     0.9 1
-1811 10 27     0.6     0.6     0.6 1
-1811 10 28     0.1     0.1     0.1 1
-1811 10 29    -1.4    -1.4    -1.4 1
-1811 10 30    -3.4    -3.4    -3.4 1
-1811 10 31    -5.5    -5.5    -5.5 1
-1811 11  1    -2.0    -2.0    -2.0 1
-1811 11  2     1.9     1.9     1.9 1
-1811 11  3     6.4     6.4     6.4 1
-1811 11  4     4.7     4.7     4.7 1
-1811 11  5     7.9     7.9     7.9 1
-1811 11  6     4.5     4.5     4.5 1
-1811 11  7     4.1     4.1     4.1 1
-1811 11  8     0.2     0.2     0.2 1
-1811 11  9    -0.8    -0.8    -0.8 1
-1811 11 10    -2.2    -2.2    -2.2 1
-1811 11 11     0.4     0.4     0.4 1
-1811 11 12     2.2     2.2     2.2 1
-1811 11 13     0.9     0.9     0.9 1
-1811 11 14     3.7     3.7     3.7 1
-1811 11 15     4.4     4.4     4.4 1
-1811 11 16     3.5     3.5     3.5 1
-1811 11 17     2.2     2.2     2.2 1
-1811 11 18    -0.3    -0.3    -0.3 1
-1811 11 19     4.6     4.6     4.6 1
-1811 11 20     0.2     0.2     0.2 1
-1811 11 21    -1.9    -1.9    -1.9 1
-1811 11 22     2.6     2.6     2.6 1
-1811 11 23     3.6     3.6     3.6 1
-1811 11 24    -0.9    -0.9    -0.9 1
-1811 11 25    -2.9    -2.9    -2.9 1
-1811 11 26    -3.6    -3.6    -3.6 1
-1811 11 27     1.9     1.9     1.9 1
-1811 11 28     6.2     6.2     6.2 1
-1811 11 29    -1.8    -1.8    -1.8 1
-1811 11 30    -1.3    -1.3    -1.3 1
-1811 12  1     6.4     6.4     6.4 1
-1811 12  2     6.6     6.6     6.6 1
-1811 12  3     3.2     3.2     3.2 1
-1811 12  4     4.3     4.3     4.3 1
-1811 12  5     2.6     2.6     2.6 1
-1811 12  6     0.9     0.9     0.9 1
-1811 12  7     0.2     0.2     0.2 1
-1811 12  8     3.6     3.6     3.6 1
-1811 12  9     4.9     4.9     4.9 1
-1811 12 10     3.6     3.6     3.6 1
-1811 12 11     3.1     3.1     3.1 1
-1811 12 12     1.9     1.9     1.9 1
-1811 12 13    -1.8    -1.8    -1.8 1
-1811 12 14    -2.1    -2.1    -2.1 1
-1811 12 15    -2.9    -2.9    -2.9 1
-1811 12 16    -2.3    -2.3    -2.3 1
-1811 12 17     0.6     0.6     0.6 1
-1811 12 18    -0.2    -0.2    -0.2 1
-1811 12 19    -5.3    -5.3    -5.3 1
-1811 12 20     1.9     1.9     1.9 1
-1811 12 21     2.3     2.3     2.3 1
-1811 12 22    -1.2    -1.2    -1.2 1
-1811 12 23    -3.2    -3.2    -3.2 1
-1811 12 24    -4.1    -4.1    -4.1 1
-1811 12 25    -8.1    -8.1    -8.1 1
-1811 12 26   -10.8   -10.8   -10.8 1
-1811 12 27    -9.8    -9.8    -9.8 1
-1811 12 28    -6.9    -6.9    -6.9 1
-1811 12 29    -7.3    -7.3    -7.3 1
-1811 12 30    -7.4    -7.4    -7.4 1
-1811 12 31    -9.3    -9.3    -9.3 1
-1812  1  1     0.2     0.2     0.2 1
-1812  1  2    -4.8    -4.8    -4.8 1
-1812  1  3    -3.1    -3.1    -3.1 1
-1812  1  4     0.9     0.9     0.9 1
-1812  1  5     0.9     0.9     0.9 1
-1812  1  6     0.6     0.6     0.6 1
-1812  1  7    -0.8    -0.8    -0.8 1
-1812  1  8    -7.5    -7.5    -7.5 1
-1812  1  9    -7.3    -7.3    -7.3 1
-1812  1 10    -0.5    -0.5    -0.5 1
-1812  1 11    -6.5    -6.5    -6.5 1
-1812  1 12   -10.5   -10.5   -10.5 1
-1812  1 13   -12.8   -12.8   -12.8 1
-1812  1 14   -13.3   -13.3   -13.3 1
-1812  1 15    -8.6    -8.6    -8.6 1
-1812  1 16    -8.8    -8.8    -8.8 1
-1812  1 17    -7.8    -7.8    -7.8 1
-1812  1 18    -8.3    -8.3    -8.3 1
-1812  1 19    -0.5    -0.5    -0.5 1
-1812  1 20     0.0     0.0     0.0 1
-1812  1 21    -4.6    -4.6    -4.6 1
-1812  1 22    -5.1    -5.1    -5.1 1
-1812  1 23    -8.5    -8.5    -8.5 1
-1812  1 24    -7.8    -7.8    -7.8 1
-1812  1 25    -6.8    -6.8    -6.8 1
-1812  1 26    -1.1    -1.1    -1.1 1
-1812  1 27    -0.5    -0.5    -0.5 1
-1812  1 28     2.0     2.0     2.0 1
-1812  1 29     1.2     1.2     1.2 1
-1812  1 30    -1.0    -1.0    -1.0 1
-1812  1 31    -1.8    -1.8    -1.8 1
-1812  2  1    -3.0    -3.0    -3.0 1
-1812  2  2    -3.1    -3.1    -3.1 1
-1812  2  3    -3.0    -3.0    -3.0 1
-1812  2  4    -2.1    -2.1    -2.1 1
-1812  2  5    -1.6    -1.6    -1.6 1
-1812  2  6    -4.5    -4.5    -4.5 1
-1812  2  7    -3.8    -3.8    -3.8 1
-1812  2  8    -3.3    -3.3    -3.3 1
-1812  2  9    -2.0    -2.0    -2.0 1
-1812  2 10    -3.1    -3.1    -3.1 1
-1812  2 11    -1.1    -1.1    -1.1 1
-1812  2 12    -2.5    -2.5    -2.5 1
-1812  2 13    -2.0    -2.0    -2.0 1
-1812  2 14    -0.3    -0.3    -0.3 1
-1812  2 15    -0.5    -0.5    -0.5 1
-1812  2 16     1.0     1.0     1.0 1
-1812  2 17    -1.6    -1.6    -1.6 1
-1812  2 18    -1.3    -1.3    -1.3 1
-1812  2 19    -3.5    -3.5    -3.5 1
-1812  2 20    -3.1    -3.1    -3.1 1
-1812  2 21     2.9     2.9     2.9 1
-1812  2 22     3.2     3.2     3.2 1
-1812  2 23     3.1     3.1     3.1 1
-1812  2 24     1.9     1.9     1.9 1
-1812  2 25    -4.9    -4.9    -4.9 1
-1812  2 26    -8.3    -8.3    -8.3 1
-1812  2 27    -7.1    -7.1    -7.1 1
-1812  2 28    -7.5    -7.5    -7.5 1
-1812  2 29    -6.8    -6.8    -6.8 1
-1812  3  1    -5.6    -5.6    -5.6 1
-1812  3  2    -4.8    -4.8    -4.8 1
-1812  3  3    -6.7    -6.7    -6.7 1
-1812  3  4    -6.1    -6.1    -6.1 1
-1812  3  5    -0.4    -0.4    -0.4 1
-1812  3  6     0.1     0.1     0.1 1
-1812  3  7    -1.8    -1.8    -1.8 1
-1812  3  8     0.1     0.1     0.1 1
-1812  3  9    -1.0    -1.0    -1.0 1
-1812  3 10    -3.1    -3.1    -3.1 1
-1812  3 11    -2.1    -2.1    -2.1 1
-1812  3 12    -3.0    -3.0    -3.0 1
-1812  3 13     0.3     0.3     0.3 1
-1812  3 14    -1.4    -1.4    -1.4 1
-1812  3 15    -7.4    -7.4    -7.4 1
-1812  3 16   -10.0   -10.0   -10.0 1
-1812  3 17   -10.4   -10.4   -10.4 1
-1812  3 18    -8.0    -8.0    -8.0 1
-1812  3 19    -7.2    -7.2    -7.2 1
-1812  3 20    -6.8    -6.8    -6.8 1
-1812  3 21    -7.3    -7.3    -7.3 1
-1812  3 22    -9.3    -9.3    -9.3 1
-1812  3 23    -6.0    -6.0    -6.0 1
-1812  3 24    -3.3    -3.3    -3.3 1
-1812  3 25    -5.6    -5.6    -5.6 1
-1812  3 26    -8.0    -8.0    -8.0 1
-1812  3 27    -2.8    -2.8    -2.8 1
-1812  3 28    -1.3    -1.3    -1.3 1
-1812  3 29    -7.1    -7.1    -7.1 1
-1812  3 30    -8.1    -8.1    -8.1 1
-1812  3 31    -8.6    -8.6    -8.6 1
-1812  4  1    -4.6    -4.6    -4.6 1
-1812  4  2    -1.6    -1.6    -1.6 1
-1812  4  3    -0.3    -0.3    -0.3 1
-1812  4  4    -4.6    -4.6    -4.6 1
-1812  4  5    -7.0    -7.0    -7.0 1
-1812  4  6    -4.5    -4.5    -4.5 1
-1812  4  7    -8.2    -8.2    -8.2 1
-1812  4  8    -8.0    -8.0    -8.0 1
-1812  4  9    -8.0    -8.0    -8.0 1
-1812  4 10    -5.8    -5.8    -5.8 1
-1812  4 11    -2.0    -2.0    -2.0 1
-1812  4 12    -1.0    -1.0    -1.0 1
-1812  4 13    -2.5    -2.5    -2.5 1
-1812  4 14    -2.8    -2.8    -2.8 1
-1812  4 15    -0.6    -0.6    -0.6 1
-1812  4 16    -1.5    -1.5    -1.5 1
-1812  4 17    -3.2    -3.2    -3.2 1
-1812  4 18    -2.2    -2.2    -2.2 1
-1812  4 19    -0.8    -0.8    -0.8 1
-1812  4 20     2.1     2.1     2.1 1
-1812  4 21     3.3     3.3     3.3 1
-1812  4 22     1.9     1.9     1.9 1
-1812  4 23     1.2     1.2     1.2 1
-1812  4 24     2.5     2.5     2.5 1
-1812  4 25     2.6     2.6     2.6 1
-1812  4 26     3.4     3.4     3.4 1
-1812  4 27     3.7     3.7     3.7 1
-1812  4 28     2.9     2.9     2.9 1
-1812  4 29     3.2     3.2     3.2 1
-1812  4 30     4.2     4.2     4.2 1
-1812  5  1     4.1     4.1     4.1 1
-1812  5  2     5.4     5.4     5.4 1
-1812  5  3     5.9     5.9     5.9 1
-1812  5  4     4.7     4.7     4.7 1
-1812  5  5     2.1     2.1     2.0 1
-1812  5  6     2.0     2.0     1.9 1
-1812  5  7     2.4     2.4     2.3 1
-1812  5  8     3.7     3.7     3.6 1
-1812  5  9     4.4     4.4     4.3 1
-1812  5 10     1.4     1.4     1.2 1
-1812  5 11     3.3     3.3     3.1 1
-1812  5 12     5.0     5.0     4.8 1
-1812  5 13     5.3     5.3     5.1 1
-1812  5 14     5.6     5.6     5.3 1
-1812  5 15     8.0     8.0     7.7 1
-1812  5 16    10.8    10.8    10.5 1
-1812  5 17     9.1     9.1     8.8 1
-1812  5 18     5.8     5.8     5.5 1
-1812  5 19     7.6     7.6     7.2 1
-1812  5 20     4.7     4.7     4.3 1
-1812  5 21     3.3     3.3     2.9 1
-1812  5 22     3.8     3.8     3.4 1
-1812  5 23     5.1     5.1     4.6 1
-1812  5 24     4.8     4.8     4.3 1
-1812  5 25     5.5     5.5     5.0 1
-1812  5 26     6.8     6.8     6.3 1
-1812  5 27     9.5     9.5     9.0 1
-1812  5 28    12.5    12.5    11.9 1
-1812  5 29    13.2    13.2    12.6 1
-1812  5 30    15.0    15.0    14.4 1
-1812  5 31    14.3    14.3    13.7 1
-1812  6  1    15.8    15.8    15.1 1
-1812  6  2    18.2    18.2    17.5 1
-1812  6  3    18.2    18.2    17.5 1
-1812  6  4    15.8    15.8    15.1 1
-1812  6  5    15.5    15.5    14.8 1
-1812  6  6    17.1    17.1    16.4 1
-1812  6  7    19.4    19.4    18.7 1
-1812  6  8    12.4    12.4    11.7 1
-1812  6  9     8.3     8.3     7.6 1
-1812  6 10     7.3     7.3     6.6 1
-1812  6 11    11.0    11.0    10.3 1
-1812  6 12    10.7    10.7    10.0 1
-1812  6 13    13.1    13.1    12.4 1
-1812  6 14    14.2    14.2    13.5 1
-1812  6 15    12.5    12.5    11.8 1
-1812  6 16    17.2    17.2    16.5 1
-1812  6 17    12.7    12.7    12.0 1
-1812  6 18    14.7    14.7    14.0 1
-1812  6 19    15.2    15.2    14.5 1
-1812  6 20    12.1    12.1    11.4 1
-1812  6 21    16.4    16.4    15.7 1
-1812  6 22    13.3    13.3    12.6 1
-1812  6 23    16.1    16.1    15.4 1
-1812  6 24    13.3    13.3    12.6 1
-1812  6 25    13.0    13.0    12.3 1
-1812  6 26    13.1    13.1    12.4 1
-1812  6 27     8.5     8.5     7.8 1
-1812  6 28    12.1    12.1    11.4 1
-1812  6 29    10.4    10.4     9.7 1
-1812  6 30    12.2    12.2    11.5 1
-1812  7  1    13.4    13.4    12.7 1
-1812  7  2    13.2    13.2    12.5 1
-1812  7  3    15.3    15.3    14.6 1
-1812  7  4    11.3    11.3    10.6 1
-1812  7  5    11.7    11.7    11.0 1
-1812  7  6    13.4    13.4    12.7 1
-1812  7  7    16.2    16.2    15.5 1
-1812  7  8    18.1    18.1    17.4 1
-1812  7  9    21.2    21.2    20.5 1
-1812  7 10    19.5    19.5    18.8 1
-1812  7 11    10.8    10.8    10.1 1
-1812  7 12    12.3    12.3    11.6 1
-1812  7 13    10.0    10.0     9.3 1
-1812  7 14    11.9    11.9    11.2 1
-1812  7 15    12.2    12.2    11.5 1
-1812  7 16    12.8    12.8    12.1 1
-1812  7 17    14.5    14.5    13.8 1
-1812  7 18    13.7    13.7    13.0 1
-1812  7 19    14.8    14.8    14.1 1
-1812  7 20    14.9    14.9    14.2 1
-1812  7 21    14.0    14.0    13.3 1
-1812  7 22    18.1    18.1    17.4 1
-1812  7 23    16.6    16.6    15.9 1
-1812  7 24    12.3    12.3    11.6 1
-1812  7 25    13.6    13.6    12.9 1
-1812  7 26    14.6    14.6    13.9 1
-1812  7 27    16.4    16.4    15.7 1
-1812  7 28    14.7    14.7    14.0 1
-1812  7 29    13.7    13.7    13.0 1
-1812  7 30    15.0    15.0    14.3 1
-1812  7 31    16.0    16.0    15.3 1
-1812  8  1    17.1    17.1    16.5 1
-1812  8  2    14.0    14.0    13.4 1
-1812  8  3    14.0    14.0    13.4 1
-1812  8  4    16.8    16.8    16.2 1
-1812  8  5    21.4    21.4    20.9 1
-1812  8  6    19.7    19.7    19.2 1
-1812  8  7    19.1    19.1    18.6 1
-1812  8  8    19.8    19.8    19.3 1
-1812  8  9    13.8    13.8    13.3 1
-1812  8 10    14.1    14.1    13.7 1
-1812  8 11    13.4    13.4    13.0 1
-1812  8 12    13.8    13.8    13.4 1
-1812  8 13    16.1    16.1    15.7 1
-1812  8 14    17.8    17.8    17.5 1
-1812  8 15    17.3    17.3    17.0 1
-1812  8 16    19.7    19.7    19.4 1
-1812  8 17    18.7    18.7    18.4 1
-1812  8 18    18.1    18.1    17.8 1
-1812  8 19    17.7    17.7    17.5 1
-1812  8 20    19.4    19.4    19.2 1
-1812  8 21    17.9    17.9    17.7 1
-1812  8 22    18.4    18.4    18.2 1
-1812  8 23    16.9    16.9    16.8 1
-1812  8 24    15.9    15.9    15.8 1
-1812  8 25    16.5    16.5    16.4 1
-1812  8 26    15.3    15.3    15.2 1
-1812  8 27    15.3    15.3    15.2 1
-1812  8 28    13.3    13.3    13.3 1
-1812  8 29    12.7    12.7    12.7 1
-1812  8 30    14.5    14.5    14.5 1
-1812  8 31    13.2    13.2    13.2 1
-1812  9  1     7.9     7.9     7.9 1
-1812  9  2     6.7     6.7     6.7 1
-1812  9  3     6.9     6.9     6.9 1
-1812  9  4     8.5     8.5     8.5 1
-1812  9  5     5.7     5.7     5.7 1
-1812  9  6     7.5     7.5     7.5 1
-1812  9  7     5.7     5.7     5.7 1
-1812  9  8     7.2     7.2     7.2 1
-1812  9  9     6.8     6.8     6.8 1
-1812  9 10    10.1    10.1    10.1 1
-1812  9 11    12.1    12.1    12.1 1
-1812  9 12    13.1    13.1    13.1 1
-1812  9 13    13.8    13.8    13.8 1
-1812  9 14    14.4    14.4    14.4 1
-1812  9 15    14.4    14.4    14.4 1
-1812  9 16    13.1    13.1    13.1 1
-1812  9 17    11.1    11.1    11.1 1
-1812  9 18    11.1    11.1    11.1 1
-1812  9 19     7.9     7.9     7.9 1
-1812  9 20     7.6     7.6     7.6 1
-1812  9 21    12.0    12.0    12.0 1
-1812  9 22    12.0    12.0    12.0 1
-1812  9 23     6.0     6.0     6.0 1
-1812  9 24     5.4     5.4     5.4 1
-1812  9 25     4.0     4.0     4.0 1
-1812  9 26     4.9     4.9     4.9 1
-1812  9 27     8.7     8.7     8.7 1
-1812  9 28    11.0    11.0    11.0 1
-1812  9 29     7.7     7.7     7.7 1
-1812  9 30     9.6     9.6     9.6 1
-1812 10  1     9.3     9.3     9.3 1
-1812 10  2    10.6    10.6    10.6 1
-1812 10  3    11.0    11.0    11.0 1
-1812 10  4     9.6     9.6     9.6 1
-1812 10  5     9.0     9.0     9.0 1
-1812 10  6     9.3     9.3     9.3 1
-1812 10  7    10.3    10.3    10.3 1
-1812 10  8    10.2    10.2    10.2 1
-1812 10  9    10.3    10.3    10.3 1
-1812 10 10     7.9     7.9     7.9 1
-1812 10 11     8.6     8.6     8.6 1
-1812 10 12     8.1     8.1     8.1 1
-1812 10 13     7.4     7.4     7.4 1
-1812 10 14     9.1     9.1     9.1 1
-1812 10 15    10.2    10.2    10.2 1
-1812 10 16     7.9     7.9     7.9 1
-1812 10 17     2.4     2.4     2.4 1
-1812 10 18     5.2     5.2     5.2 1
-1812 10 19     7.9     7.9     7.9 1
-1812 10 20     9.9     9.9     9.9 1
-1812 10 21     9.2     9.2     9.2 1
-1812 10 22     5.9     5.9     5.9 1
-1812 10 23     7.6     7.6     7.6 1
-1812 10 24     8.9     8.9     8.9 1
-1812 10 25     7.5     7.5     7.5 1
-1812 10 26     7.9     7.9     7.9 1
-1812 10 27     8.6     8.6     8.6 1
-1812 10 28     7.9     7.9     7.9 1
-1812 10 29     6.6     6.6     6.6 1
-1812 10 30     7.6     7.6     7.6 1
-1812 10 31     7.2     7.2     7.2 1
-1812 11  1     3.9     3.9     3.9 1
-1812 11  2     5.5     5.5     5.5 1
-1812 11  3     5.6     5.6     5.6 1
-1812 11  4     5.2     5.2     5.2 1
-1812 11  5     4.9     4.9     4.9 1
-1812 11  6     4.9     4.9     4.9 1
-1812 11  7     4.2     4.2     4.2 1
-1812 11  8     0.9     0.9     0.9 1
-1812 11  9     0.7     0.7     0.7 1
-1812 11 10    -0.8    -0.8    -0.8 1
-1812 11 11    -1.5    -1.5    -1.5 1
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-1812 11 14    -0.4    -0.4    -0.4 1
-1812 11 15    -0.8    -0.8    -0.8 1
-1812 11 16    -0.9    -0.9    -0.9 1
-1812 11 17    -1.1    -1.1    -1.1 1
-1812 11 18    -1.9    -1.9    -1.9 1
-1812 11 19    -2.1    -2.1    -2.1 1
-1812 11 20    -6.1    -6.1    -6.1 1
-1812 11 21    -7.1    -7.1    -7.1 1
-1812 11 22    -9.1    -9.1    -9.1 1
-1812 11 23    -3.9    -3.9    -3.9 1
-1812 11 24     4.3     4.3     4.3 1
-1812 11 25     3.9     3.9     3.9 1
-1812 11 26    -0.7    -0.7    -0.7 1
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-1812 11 28     0.4     0.4     0.4 1
-1812 11 29     0.6     0.6     0.6 1
-1812 11 30     0.8     0.8     0.8 1
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-1812 12  5    -8.9    -8.9    -8.9 1
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-1812 12 11   -11.1   -11.1   -11.1 1
-1812 12 12   -10.4   -10.4   -10.4 1
-1812 12 13    -6.8    -6.8    -6.8 1
-1812 12 14   -12.9   -12.9   -12.9 1
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-1812 12 16    -5.3    -5.3    -5.3 1
-1812 12 17    -8.4    -8.4    -8.4 1
-1812 12 18   -10.3   -10.3   -10.3 1
-1812 12 19    -6.1    -6.1    -6.1 1
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-1812 12 21    -9.1    -9.1    -9.1 1
-1812 12 22   -10.1   -10.1   -10.1 1
-1812 12 23    -5.7    -5.7    -5.7 1
-1812 12 24    -6.4    -6.4    -6.4 1
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-1812 12 26    -0.8    -0.8    -0.8 1
-1812 12 27    -4.4    -4.4    -4.4 1
-1812 12 28    -4.4    -4.4    -4.4 1
-1812 12 29     4.2     4.2     4.2 1
-1812 12 30    -2.8    -2.8    -2.8 1
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-1813  1  2   -13.8   -13.8   -13.8 1
-1813  1  3    -0.8    -0.8    -0.8 1
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-1813  1  6    -3.1    -3.1    -3.1 1
-1813  1  7     1.9     1.9     1.9 1
-1813  1  8     1.6     1.6     1.6 1
-1813  1  9     0.2     0.2     0.2 1
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-1813  1 13    -3.8    -3.8    -3.8 1
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-1813  1 18    -3.3    -3.3    -3.3 1
-1813  1 19    -3.6    -3.6    -3.6 1
-1813  1 20    -4.5    -4.5    -4.5 1
-1813  1 21    -5.1    -5.1    -5.1 1
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-1813  1 23    -1.2    -1.2    -1.2 1
-1813  1 24    -5.2    -5.2    -5.2 1
-1813  1 25    -4.1    -4.1    -4.1 1
-1813  1 26    -5.0    -5.0    -5.0 1
-1813  1 27    -4.5    -4.5    -4.5 1
-1813  1 28    -5.5    -5.5    -5.5 1
-1813  1 29    -7.5    -7.5    -7.5 1
-1813  1 30   -12.3   -12.3   -12.3 1
-1813  1 31    -5.6    -5.6    -5.6 1
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-1813  2  2   -14.8   -14.8   -14.8 1
-1813  2  3   -13.0   -13.0   -13.0 1
-1813  2  4    -0.5    -0.5    -0.5 1
-1813  2  5     1.7     1.7     1.7 1
-1813  2  6    -0.8    -0.8    -0.8 1
-1813  2  7     1.9     1.9     1.9 1
-1813  2  8     1.0     1.0     1.0 1
-1813  2  9     2.9     2.9     2.9 1
-1813  2 10     1.8     1.8     1.8 1
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-1813  2 13    -0.8    -0.8    -0.8 1
-1813  2 14     0.9     0.9     0.9 1
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-1813  2 19    -0.9    -0.9    -0.9 1
-1813  2 20    -1.7    -1.7    -1.7 1
-1813  2 21     2.5     2.5     2.5 1
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-1813  2 26    -2.1    -2.1    -2.1 1
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-1813  2 28    -4.1    -4.1    -4.1 1
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-1813  3  3     0.1     0.1     0.1 1
-1813  3  4    -0.1    -0.1    -0.1 1
-1813  3  5     4.2     4.2     4.2 1
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-1813  3  7    -0.9    -0.9    -0.9 1
-1813  3  8    -5.7    -5.7    -5.7 1
-1813  3  9    -7.6    -7.6    -7.6 1
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-1813  3 17     6.6     6.6     6.6 1
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-1813  3 19     3.5     3.5     3.5 1
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-1813  3 21     2.8     2.8     2.8 1
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-1813  3 23     1.3     1.3     1.3 1
-1813  3 24     3.0     3.0     3.0 1
-1813  3 25     3.4     3.4     3.4 1
-1813  3 26     4.5     4.5     4.5 1
-1813  3 27     5.7     5.7     5.7 1
-1813  3 28     5.0     5.0     5.0 1
-1813  3 29     4.7     4.7     4.7 1
-1813  3 30     5.2     5.2     5.2 1
-1813  3 31     4.1     4.1     4.1 1
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-1813  4  2     5.1     5.1     5.1 1
-1813  4  3     4.9     4.9     4.9 1
-1813  4  4     2.6     2.6     2.6 1
-1813  4  5     4.5     4.5     4.5 1
-1813  4  6     3.5     3.5     3.5 1
-1813  4  7     4.8     4.8     4.8 1
-1813  4  8     8.2     8.2     8.2 1
-1813  4  9     9.5     9.5     9.5 1
-1813  4 10    10.0    10.0    10.0 1
-1813  4 11     5.5     5.5     5.5 1
-1813  4 12     6.5     6.5     6.5 1
-1813  4 13     1.8     1.8     1.8 1
-1813  4 14     8.2     8.2     8.2 1
-1813  4 15     9.4     9.4     9.4 1
-1813  4 16     5.5     5.5     5.5 1
-1813  4 17     2.7     2.7     2.7 1
-1813  4 18     0.5     0.5     0.5 1
-1813  4 19     2.8     2.8     2.8 1
-1813  4 20     1.9     1.9     1.9 1
-1813  4 21     0.2     0.2     0.2 1
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-1813  4 23     0.9     0.9     0.9 1
-1813  4 24     5.4     5.4     5.4 1
-1813  4 25     7.3     7.3     7.3 1
-1813  4 26     7.0     7.0     7.0 1
-1813  4 27     1.6     1.6     1.6 1
-1813  4 28     2.2     2.2     2.2 1
-1813  4 29    -0.7    -0.7    -0.7 1
-1813  4 30     1.7     1.7     1.7 1
-1813  5  1     5.1     5.1     5.1 1
-1813  5  2     5.7     5.7     5.7 1
-1813  5  3     5.7     5.7     5.7 1
-1813  5  4     5.4     5.4     5.4 1
-1813  5  5     7.1     7.1     7.0 1
-1813  5  6     8.0     8.0     7.9 1
-1813  5  7     7.2     7.2     7.1 1
-1813  5  8     3.0     3.0     2.9 1
-1813  5  9     4.1     4.1     4.0 1
-1813  5 10     6.4     6.4     6.2 1
-1813  5 11     8.1     8.1     7.9 1
-1813  5 12     9.4     9.4     9.2 1
-1813  5 13     7.2     7.2     7.0 1
-1813  5 14    12.0    12.0    11.7 1
-1813  5 15    11.8    11.8    11.5 1
-1813  5 16     9.3     9.3     9.0 1
-1813  5 17     3.5     3.5     3.2 1
-1813  5 18     3.0     3.0     2.7 1
-1813  5 19     4.4     4.4     4.0 1
-1813  5 20     6.0     6.0     5.6 1
-1813  5 21     6.0     6.0     5.6 1
-1813  5 22     7.9     7.9     7.5 1
-1813  5 23     6.4     6.4     5.9 1
-1813  5 24     8.2     8.2     7.7 1
-1813  5 25     9.7     9.7     9.2 1
-1813  5 26    11.1    11.1    10.6 1
-1813  5 27     9.7     9.7     9.2 1
-1813  5 28    10.4    10.4     9.8 1
-1813  5 29     9.2     9.2     8.6 1
-1813  5 30    12.5    12.5    11.9 1
-1813  5 31    14.0    14.0    13.4 1
-1813  6  1    14.7    14.7    14.0 1
-1813  6  2    15.5    15.5    14.8 1
-1813  6  3    17.6    17.6    16.9 1
-1813  6  4    11.8    11.8    11.1 1
-1813  6  5    12.2    12.2    11.5 1
-1813  6  6    14.4    14.4    13.7 1
-1813  6  7    14.4    14.4    13.7 1
-1813  6  8    10.7    10.7    10.0 1
-1813  6  9    10.7    10.7    10.0 1
-1813  6 10    11.4    11.4    10.7 1
-1813  6 11    10.7    10.7    10.0 1
-1813  6 12    11.5    11.5    10.8 1
-1813  6 13    13.1    13.1    12.4 1
-1813  6 14    12.3    12.3    11.6 1
-1813  6 15    13.1    13.1    12.4 1
-1813  6 16    13.0    13.0    12.3 1
-1813  6 17    10.3    10.3     9.6 1
-1813  6 18    11.9    11.9    11.2 1
-1813  6 19    14.8    14.8    14.1 1
-1813  6 20    13.2    13.2    12.5 1
-1813  6 21    10.7    10.7    10.0 1
-1813  6 22    10.1    10.1     9.4 1
-1813  6 23     4.7     4.7     4.0 1
-1813  6 24     9.8     9.8     9.1 1
-1813  6 25    13.0    13.0    12.3 1
-1813  6 26    14.6    14.6    13.9 1
-1813  6 27    14.2    14.2    13.5 1
-1813  6 28    12.1    12.1    11.4 1
-1813  6 29    11.8    11.8    11.1 1
-1813  6 30    14.2    14.2    13.5 1
-1813  7  1    13.2    13.2    12.5 1
-1813  7  2     9.3     9.3     8.6 1
-1813  7  3    10.2    10.2     9.5 1
-1813  7  4    11.2    11.2    10.5 1
-1813  7  5    10.5    10.5     9.8 1
-1813  7  6     9.0     9.0     8.3 1
-1813  7  7    14.8    14.8    14.1 1
-1813  7  8    14.5    14.5    13.8 1
-1813  7  9    17.0    17.0    16.3 1
-1813  7 10    18.5    18.5    17.8 1
-1813  7 11    19.3    19.3    18.6 1
-1813  7 12    19.7    19.7    19.0 1
-1813  7 13    19.5    19.5    18.8 1
-1813  7 14    13.7    13.7    13.0 1
-1813  7 15    19.2    19.2    18.5 1
-1813  7 16    20.0    20.0    19.3 1
-1813  7 17    19.2    19.2    18.5 1
-1813  7 18    20.0    20.0    19.3 1
-1813  7 19    18.2    18.2    17.5 1
-1813  7 20    19.8    19.8    19.1 1
-1813  7 21    21.0    21.0    20.3 1
-1813  7 22    19.6    19.6    18.9 1
-1813  7 23    19.1    19.1    18.4 1
-1813  7 24    21.1    21.1    20.4 1
-1813  7 25    21.3    21.3    20.6 1
-1813  7 26    19.1    19.1    18.4 1
-1813  7 27    18.4    18.4    17.7 1
-1813  7 28    18.3    18.3    17.6 1
-1813  7 29    18.5    18.5    17.8 1
-1813  7 30    18.3    18.3    17.6 1
-1813  7 31    20.3    20.3    19.6 1
-1813  8  1    20.1    20.1    19.5 1
-1813  8  2    20.0    20.0    19.4 1
-1813  8  3    18.7    18.7    18.1 1
-1813  8  4    17.5    17.5    16.9 1
-1813  8  5    15.3    15.3    14.8 1
-1813  8  6    16.3    16.3    15.8 1
-1813  8  7    15.5    15.5    15.0 1
-1813  8  8    15.9    15.9    15.4 1
-1813  8  9    13.8    13.8    13.3 1
-1813  8 10    16.4    16.4    16.0 1
-1813  8 11    16.4    16.4    16.0 1
-1813  8 12    19.8    19.8    19.4 1
-1813  8 13    18.8    18.8    18.4 1
-1813  8 14    18.8    18.8    18.5 1
-1813  8 15    18.1    18.1    17.8 1
-1813  8 16    17.5    17.5    17.2 1
-1813  8 17    15.6    15.6    15.3 1
-1813  8 18    14.1    14.1    13.8 1
-1813  8 19    14.2    14.2    14.0 1
-1813  8 20    14.8    14.8    14.6 1
-1813  8 21    14.6    14.6    14.4 1
-1813  8 22    14.3    14.3    14.1 1
-1813  8 23    12.6    12.6    12.5 1
-1813  8 24    12.2    12.2    12.1 1
-1813  8 25    12.2    12.2    12.1 1
-1813  8 26    13.3    13.3    13.2 1
-1813  8 27    12.6    12.6    12.5 1
-1813  8 28    13.7    13.7    13.7 1
-1813  8 29    15.6    15.6    15.6 1
-1813  8 30    15.8    15.8    15.8 1
-1813  8 31    15.2    15.2    15.2 1
-1813  9  1    15.7    15.7    15.7 1
-1813  9  2    16.0    16.0    16.0 1
-1813  9  3    16.3    16.3    16.3 1
-1813  9  4    15.8    15.8    15.8 1
-1813  9  5    17.4    17.4    17.4 1
-1813  9  6    16.5    16.5    16.5 1
-1813  9  7    15.5    15.5    15.5 1
-1813  9  8    16.0    16.0    16.0 1
-1813  9  9    13.3    13.3    13.3 1
-1813  9 10    14.8    14.8    14.8 1
-1813  9 11    13.4    13.4    13.4 1
-1813  9 12    12.4    12.4    12.4 1
-1813  9 13    12.1    12.1    12.1 1
-1813  9 14    12.8    12.8    12.8 1
-1813  9 15    12.7    12.7    12.7 1
-1813  9 16    12.9    12.9    12.9 1
-1813  9 17    13.1    13.1    13.1 1
-1813  9 18    13.4    13.4    13.4 1
-1813  9 19    14.0    14.0    14.0 1
-1813  9 20    14.1    14.1    14.1 1
-1813  9 21    14.7    14.7    14.7 1
-1813  9 22    14.4    14.4    14.4 1
-1813  9 23    13.4    13.4    13.4 1
-1813  9 24    10.4    10.4    10.4 1
-1813  9 25     9.4     9.4     9.4 1
-1813  9 26     7.0     7.0     7.0 1
-1813  9 27     9.3     9.3     9.3 1
-1813  9 28     7.3     7.3     7.3 1
-1813  9 29     4.3     4.3     4.3 1
-1813  9 30     3.7     3.7     3.7 1
-1813 10  1     9.0     9.0     9.0 1
-1813 10  2     4.3     4.3     4.3 1
-1813 10  3     5.6     5.6     5.6 1
-1813 10  4     4.0     4.0     4.0 1
-1813 10  5     5.0     5.0     5.0 1
-1813 10  6     1.6     1.6     1.6 1
-1813 10  7     3.3     3.3     3.3 1
-1813 10  8     5.0     5.0     5.0 1
-1813 10  9     3.6     3.6     3.6 1
-1813 10 10     3.2     3.2     3.2 1
-1813 10 11     4.2     4.2     4.2 1
-1813 10 12     4.2     4.2     4.2 1
-1813 10 13     3.9     3.9     3.9 1
-1813 10 14     7.6     7.6     7.6 1
-1813 10 15     4.7     4.7     4.7 1
-1813 10 16     3.9     3.9     3.9 1
-1813 10 17     7.2     7.2     7.2 1
-1813 10 18     7.6     7.6     7.6 1
-1813 10 19     8.2     8.2     8.2 1
-1813 10 20     3.9     3.9     3.9 1
-1813 10 21     1.9     1.9     1.9 1
-1813 10 22     1.5     1.5     1.5 1
-1813 10 23     4.2     4.2     4.2 1
-1813 10 24     3.9     3.9     3.9 1
-1813 10 25    -1.1    -1.1    -1.1 1
-1813 10 26    -2.0    -2.0    -2.0 1
-1813 10 27     2.6     2.6     2.6 1
-1813 10 28     1.9     1.9     1.9 1
-1813 10 29    -1.6    -1.6    -1.6 1
-1813 10 30    -1.0    -1.0    -1.0 1
-1813 10 31     3.2     3.2     3.2 1
-1813 11  1     4.2     4.2     4.2 1
-1813 11  2     3.9     3.9     3.9 1
-1813 11  3     3.6     3.6     3.6 1
-1813 11  4    -0.2    -0.2    -0.2 1
-1813 11  5     2.9     2.9     2.9 1
-1813 11  6     4.2     4.2     4.2 1
-1813 11  7     3.6     3.6     3.6 1
-1813 11  8     3.9     3.9     3.9 1
-1813 11  9     5.4     5.4     5.4 1
-1813 11 10     4.6     4.6     4.6 1
-1813 11 11     6.6     6.6     6.6 1
-1813 11 12     5.7     5.7     5.7 1
-1813 11 13     4.9     4.9     4.9 1
-1813 11 14     4.6     4.6     4.6 1
-1813 11 15     4.4     4.4     4.4 1
-1813 11 16     3.4     3.4     3.4 1
-1813 11 17     1.4     1.4     1.4 1
-1813 11 18     2.5     2.5     2.5 1
-1813 11 19     3.2     3.2     3.2 1
-1813 11 20     1.2     1.2     1.2 1
-1813 11 21     4.4     4.4     4.4 1
-1813 11 22     3.9     3.9     3.9 1
-1813 11 23     2.8     2.8     2.8 1
-1813 11 24     3.1     3.1     3.1 1
-1813 11 25     1.6     1.6     1.6 1
-1813 11 26     1.1     1.1     1.1 1
-1813 11 27    -0.2    -0.2    -0.2 1
-1813 11 28    -1.2    -1.2    -1.2 1
-1813 11 29    -2.1    -2.1    -2.1 1
-1813 11 30    -3.9    -3.9    -3.9 1
-1813 12  1    -3.6    -3.6    -3.6 1
-1813 12  2    -5.6    -5.6    -5.6 1
-1813 12  3    -0.4    -0.4    -0.4 1
-1813 12  4     2.6     2.6     2.6 1
-1813 12  5     3.9     3.9     3.9 1
-1813 12  6     3.1     3.1     3.1 1
-1813 12  7     0.4     0.4     0.4 1
-1813 12  8    -1.6    -1.6    -1.6 1
-1813 12  9    -2.9    -2.9    -2.9 1
-1813 12 10    -3.8    -3.8    -3.8 1
-1813 12 11    -7.1    -7.1    -7.1 1
-1813 12 12    -4.1    -4.1    -4.1 1
-1813 12 13    -0.1    -0.1    -0.1 1
-1813 12 14   -10.9   -10.9   -10.9 1
-1813 12 15   -14.1   -14.1   -14.1 1
-1813 12 16   -11.4   -11.4   -11.4 1
-1813 12 17    -5.1    -5.1    -5.1 1
-1813 12 18    -1.6    -1.6    -1.6 1
-1813 12 19    -0.4    -0.4    -0.4 1
-1813 12 20     2.1     2.1     2.1 1
-1813 12 21     1.3     1.3     1.3 1
-1813 12 22     1.1     1.1     1.1 1
-1813 12 23     2.6     2.6     2.6 1
-1813 12 24     1.8     1.8     1.8 1
-1813 12 25     2.3     2.3     2.3 1
-1813 12 26    -1.4    -1.4    -1.4 1
-1813 12 27    -0.7    -0.7    -0.7 1
-1813 12 28    -1.1    -1.1    -1.1 1
-1813 12 29     0.4     0.4     0.4 1
-1813 12 30     2.7     2.7     2.7 1
-1813 12 31    -4.4    -4.4    -4.4 1
-1814  1  1    -1.9    -1.9    -1.9 1
-1814  1  2    -2.3    -2.3    -2.3 1
-1814  1  3   -10.6   -10.6   -10.6 1
-1814  1  4   -13.1   -13.1   -13.1 1
-1814  1  5   -19.1   -19.1   -19.1 1
-1814  1  6   -19.8   -19.8   -19.8 1
-1814  1  7   -19.6   -19.6   -19.6 1
-1814  1  8   -19.5   -19.5   -19.5 1
-1814  1  9   -22.6   -22.6   -22.6 1
-1814  1 10   -19.5   -19.5   -19.5 1
-1814  1 11   -20.0   -20.0   -20.0 1
-1814  1 12   -16.9   -16.9   -16.9 1
-1814  1 13   -20.1   -20.1   -20.1 1
-1814  1 14   -13.1   -13.1   -13.1 1
-1814  1 15   -13.1   -13.1   -13.1 1
-1814  1 16    -9.0    -9.0    -9.0 1
-1814  1 17    -8.1    -8.1    -8.1 1
-1814  1 18   -17.3   -17.3   -17.3 1
-1814  1 19   -25.2   -25.2   -25.2 1
-1814  1 20   -25.8   -25.8   -25.8 1
-1814  1 21   -17.1   -17.1   -17.1 1
-1814  1 22   -11.1   -11.1   -11.1 1
-1814  1 23   -15.3   -15.3   -15.3 1
-1814  1 24   -17.1   -17.1   -17.1 1
-1814  1 25   -14.6   -14.6   -14.6 1
-1814  1 26   -16.1   -16.1   -16.1 1
-1814  1 27   -15.8   -15.8   -15.8 1
-1814  1 28   -13.1   -13.1   -13.1 1
-1814  1 29    -4.1    -4.1    -4.1 1
-1814  1 30    -1.1    -1.1    -1.1 1
-1814  1 31    -0.8    -0.8    -0.8 1
-1814  2  1    -4.0    -4.0    -4.0 1
-1814  2  2   -12.0   -12.0   -12.0 1
-1814  2  3   -11.2   -11.2   -11.2 1
-1814  2  4   -12.2   -12.2   -12.2 1
-1814  2  5   -16.8   -16.8   -16.8 1
-1814  2  6    -4.1    -4.1    -4.1 1
-1814  2  7    -2.0    -2.0    -2.0 1
-1814  2  8    -6.0    -6.0    -6.0 1
-1814  2  9    -5.5    -5.5    -5.5 1
-1814  2 10    -5.0    -5.0    -5.0 1
-1814  2 11    -4.5    -4.5    -4.5 1
-1814  2 12    -8.5    -8.5    -8.5 1
-1814  2 13    -7.5    -7.5    -7.5 1
-1814  2 14    -7.0    -7.0    -7.0 1
-1814  2 15    -5.7    -5.7    -5.7 1
-1814  2 16   -13.5   -13.5   -13.5 1
-1814  2 17   -10.6   -10.6   -10.6 1
-1814  2 18   -15.6   -15.6   -15.6 1
-1814  2 19   -16.9   -16.9   -16.9 1
-1814  2 20    -9.2    -9.2    -9.2 1
-1814  2 21    -7.3    -7.3    -7.3 1
-1814  2 22    -2.3    -2.3    -2.3 1
-1814  2 23    -5.8    -5.8    -5.8 1
-1814  2 24    -6.8    -6.8    -6.8 1
-1814  2 25    -6.1    -6.1    -6.1 1
-1814  2 26    -7.5    -7.5    -7.5 1
-1814  2 27   -12.0   -12.0   -12.0 1
-1814  2 28   -13.8   -13.8   -13.8 1
-1814  3  1   -10.8   -10.8   -10.8 1
-1814  3  2    -7.6    -7.6    -7.6 1
-1814  3  3    -5.9    -5.9    -5.9 1
-1814  3  4    -6.9    -6.9    -6.9 1
-1814  3  5    -8.4    -8.4    -8.4 1
-1814  3  6    -8.2    -8.2    -8.2 1
-1814  3  7    -8.2    -8.2    -8.2 1
-1814  3  8    -9.1    -9.1    -9.1 1
-1814  3  9    -7.2    -7.2    -7.2 1
-1814  3 10    -9.7    -9.7    -9.7 1
-1814  3 11    -7.7    -7.7    -7.7 1
-1814  3 12    -6.0    -6.0    -6.0 1
-1814  3 13    -4.4    -4.4    -4.4 1
-1814  3 14    -1.4    -1.4    -1.4 1
-1814  3 15    -2.2    -2.2    -2.2 1
-1814  3 16     0.5     0.5     0.5 1
-1814  3 17     1.1     1.1     1.1 1
-1814  3 18     1.8     1.8     1.8 1
-1814  3 19     0.0     0.0     0.0 1
-1814  3 20     1.3     1.3     1.3 1
-1814  3 21     2.0     2.0     2.0 1
-1814  3 22     1.3     1.3     1.3 1
-1814  3 23    -0.3    -0.3    -0.3 1
-1814  3 24    -0.7    -0.7    -0.7 1
-1814  3 25     3.4     3.4     3.4 1
-1814  3 26     0.7     0.7     0.7 1
-1814  3 27     1.5     1.5     1.5 1
-1814  3 28     3.0     3.0     3.0 1
-1814  3 29     1.7     1.7     1.7 1
-1814  3 30     1.1     1.1     1.1 1
-1814  3 31     0.7     0.7     0.7 1
-1814  4  1     4.4     4.4     4.4 1
-1814  4  2     3.6     3.6     3.6 1
-1814  4  3     1.2     1.2     1.2 1
-1814  4  4     2.4     2.4     2.4 1
-1814  4  5     2.8     2.8     2.8 1
-1814  4  6     1.5     1.5     1.5 1
-1814  4  7     2.0     2.0     2.0 1
-1814  4  8     4.5     4.5     4.5 1
-1814  4  9     8.5     8.5     8.5 1
-1814  4 10     8.0     8.0     8.0 1
-1814  4 11     6.5     6.5     6.5 1
-1814  4 12     5.7     5.7     5.7 1
-1814  4 13     7.7     7.7     7.7 1
-1814  4 14    10.6    10.6    10.6 1
-1814  4 15    11.7    11.7    11.7 1
-1814  4 16    10.9    10.9    10.9 1
-1814  4 17    11.2    11.2    11.2 1
-1814  4 18     9.3     9.3     9.3 1
-1814  4 19    11.2    11.2    11.2 1
-1814  4 20    13.8    13.8    13.8 1
-1814  4 21    10.6    10.6    10.6 1
-1814  4 22     2.5     2.5     2.5 1
-1814  4 23     3.5     3.5     3.5 1
-1814  4 24     2.2     2.2     2.2 1
-1814  4 25     0.9     0.9     0.9 1
-1814  4 26     0.2     0.2     0.2 1
-1814  4 27    -1.5    -1.5    -1.5 1
-1814  4 28    -1.5    -1.5    -1.5 1
-1814  4 29     0.1     0.1     0.1 1
-1814  4 30     3.1     3.1     3.1 1
-1814  5  1     3.2     3.2     3.2 1
-1814  5  2     2.2     2.2     2.2 1
-1814  5  3     5.6     5.6     5.6 1
-1814  5  4     3.7     3.7     3.7 1
-1814  5  5     2.9     2.9     2.8 1
-1814  5  6     4.7     4.7     4.6 1
-1814  5  7     5.4     5.4     5.3 1
-1814  5  8     8.4     8.4     8.3 1
-1814  5  9     7.3     7.3     7.2 1
-1814  5 10     6.4     6.4     6.2 1
-1814  5 11     8.0     8.0     7.8 1
-1814  5 12     8.1     8.1     7.9 1
-1814  5 13     7.8     7.8     7.6 1
-1814  5 14     6.8     6.8     6.5 1
-1814  5 15    10.3    10.3    10.0 1
-1814  5 16     8.1     8.1     7.8 1
-1814  5 17     8.5     8.5     8.2 1
-1814  5 18     9.7     9.7     9.4 1
-1814  5 19    12.8    12.8    12.4 1
-1814  5 20     4.7     4.7     4.3 1
-1814  5 21     3.3     3.3     2.9 1
-1814  5 22     4.4     4.4     4.0 1
-1814  5 23     5.5     5.5     5.0 1
-1814  5 24     4.7     4.7     4.2 1
-1814  5 25     4.8     4.8     4.3 1
-1814  5 26     5.2     5.2     4.7 1
-1814  5 27     9.8     9.8     9.3 1
-1814  5 28    10.8    10.8    10.2 1
-1814  5 29    11.7    11.7    11.1 1
-1814  5 30    11.5    11.5    10.9 1
-1814  5 31    10.4    10.4     9.8 1
-1814  6  1     8.1     8.1     7.4 1
-1814  6  2     8.0     8.0     7.3 1
-1814  6  3     8.1     8.1     7.4 1
-1814  6  4     9.5     9.5     8.8 1
-1814  6  5     9.5     9.5     8.8 1
-1814  6  6     5.8     5.8     5.1 1
-1814  6  7     6.8     6.8     6.1 1
-1814  6  8     9.0     9.0     8.3 1
-1814  6  9     9.0     9.0     8.3 1
-1814  6 10     9.6     9.6     8.9 1
-1814  6 11     8.3     8.3     7.6 1
-1814  6 12     7.1     7.1     6.4 1
-1814  6 13    13.0    13.0    12.3 1
-1814  6 14    13.2    13.2    12.5 1
-1814  6 15    13.3    13.3    12.6 1
-1814  6 16    14.8    14.8    14.1 1
-1814  6 17    14.8    14.8    14.1 1
-1814  6 18    13.6    13.6    12.9 1
-1814  6 19    15.0    15.0    14.3 1
-1814  6 20    11.0    11.0    10.3 1
-1814  6 21     8.8     8.8     8.1 1
-1814  6 22    11.0    11.0    10.3 1
-1814  6 23    11.5    11.5    10.8 1
-1814  6 24    12.8    12.8    12.1 1
-1814  6 25    13.1    13.1    12.4 1
-1814  6 26    16.6    16.6    15.9 1
-1814  6 27    19.8    19.8    19.1 1
-1814  6 28    20.1    20.1    19.4 1
-1814  6 29    20.1    20.1    19.4 1
-1814  6 30    19.1    19.1    18.4 1
-1814  7  1    17.8    17.8    17.1 1
-1814  7  2    18.2    18.2    17.5 1
-1814  7  3    15.7    15.7    15.0 1
-1814  7  4    12.8    12.8    12.1 1
-1814  7  5    13.1    13.1    12.4 1
-1814  7  6    13.3    13.3    12.6 1
-1814  7  7    14.7    14.7    14.0 1
-1814  7  8    17.4    17.4    16.7 1
-1814  7  9    19.4    19.4    18.7 1
-1814  7 10    21.1    21.1    20.4 1
-1814  7 11    21.2    21.2    20.5 1
-1814  7 12    22.6    22.6    21.9 1
-1814  7 13    19.8    19.8    19.1 1
-1814  7 14    17.5    17.5    16.8 1
-1814  7 15    17.8    17.8    17.1 1
-1814  7 16    18.6    18.6    17.9 1
-1814  7 17    17.8    17.8    17.1 1
-1814  7 18    17.5    17.5    16.8 1
-1814  7 19    16.8    16.8    16.1 1
-1814  7 20    18.6    18.6    17.9 1
-1814  7 21    21.8    21.8    21.1 1
-1814  7 22    20.8    20.8    20.1 1
-1814  7 23    19.4    19.4    18.7 1
-1814  7 24    21.5    21.5    20.8 1
-1814  7 25    21.1    21.1    20.4 1
-1814  7 26    24.0    24.0    23.3 1
-1814  7 27    22.0    22.0    21.3 1
-1814  7 28    23.1    23.1    22.4 1
-1814  7 29    25.5    25.5    24.8 1
-1814  7 30    23.6    23.6    22.9 1
-1814  7 31    20.0    20.0    19.3 1
-1814  8  1    19.6    19.6    19.0 1
-1814  8  2    20.0    20.0    19.4 1
-1814  8  3    20.6    20.6    20.0 1
-1814  8  4    20.6    20.6    20.0 1
-1814  8  5    19.4    19.4    18.9 1
-1814  8  6    18.4    18.4    17.9 1
-1814  8  7    17.5    17.5    17.0 1
-1814  8  8    17.0    17.0    16.5 1
-1814  8  9    17.1    17.1    16.6 1
-1814  8 10    18.0    18.0    17.6 1
-1814  8 11    16.9    16.9    16.5 1
-1814  8 12    18.0    18.0    17.6 1
-1814  8 13    16.9    16.9    16.5 1
-1814  8 14    17.7    17.7    17.4 1
-1814  8 15    19.3    19.3    19.0 1
-1814  8 16    17.1    17.1    16.8 1
-1814  8 17    17.7    17.7    17.4 1
-1814  8 18    18.1    18.1    17.8 1
-1814  8 19    18.6    18.6    18.4 1
-1814  8 20    14.0    14.0    13.8 1
-1814  8 21    11.3    11.3    11.1 1
-1814  8 22    10.9    10.9    10.7 1
-1814  8 23    12.0    12.0    11.9 1
-1814  8 24    11.6    11.6    11.5 1
-1814  8 25    12.3    12.3    12.2 1
-1814  8 26    14.1    14.1    14.0 1
-1814  8 27    15.2    15.2    15.1 1
-1814  8 28    16.8    16.8    16.8 1
-1814  8 29    15.5    15.5    15.5 1
-1814  8 30    15.2    15.2    15.2 1
-1814  8 31    17.5    17.5    17.5 1
-1814  9  1    13.4    13.4    13.4 1
-1814  9  2    12.2    12.2    12.2 1
-1814  9  3    14.0    14.0    14.0 1
-1814  9  4    14.2    14.2    14.2 1
-1814  9  5    11.8    11.8    11.8 1
-1814  9  6    13.5    13.5    13.5 1
-1814  9  7    12.2    12.2    12.2 1
-1814  9  8     9.0     9.0     9.0 1
-1814  9  9     9.0     9.0     9.0 1
-1814  9 10     7.8     7.8     7.8 1
-1814  9 11     7.8     7.8     7.8 1
-1814  9 12     8.1     8.1     8.1 1
-1814  9 13     7.0     7.0     7.0 1
-1814  9 14     8.4     8.4     8.4 1
-1814  9 15     9.4     9.4     9.4 1
-1814  9 16     9.4     9.4     9.4 1
-1814  9 17     8.9     8.9     8.9 1
-1814  9 18     9.1     9.1     9.1 1
-1814  9 19     9.1     9.1     9.1 1
-1814  9 20     9.6     9.6     9.6 1
-1814  9 21    10.5    10.5    10.5 1
-1814  9 22    11.0    11.0    11.0 1
-1814  9 23    11.7    11.7    11.7 1
-1814  9 24    11.0    11.0    11.0 1
-1814  9 25    13.4    13.4    13.4 1
-1814  9 26    14.9    14.9    14.9 1
-1814  9 27    13.0    13.0    13.0 1
-1814  9 28    15.3    15.3    15.3 1
-1814  9 29     9.5     9.5     9.5 1
-1814  9 30     3.3     3.3     3.3 1
-1814 10  1     3.1     3.1     3.1 1
-1814 10  2     4.1     4.1     4.1 1
-1814 10  3     6.0     6.0     6.0 1
-1814 10  4     7.3     7.3     7.3 1
-1814 10  5     8.0     8.0     8.0 1
-1814 10  6     5.3     5.3     5.3 1
-1814 10  7     6.1     6.1     6.1 1
-1814 10  8     6.3     6.3     6.3 1
-1814 10  9     2.1     2.1     2.1 1
-1814 10 10     1.7     1.7     1.7 1
-1814 10 11     1.7     1.7     1.7 1
-1814 10 12     2.9     2.9     2.9 1
-1814 10 13     5.7     5.7     5.7 1
-1814 10 14     8.1     8.1     8.1 1
-1814 10 15     7.5     7.5     7.5 1
-1814 10 16     9.1     9.1     9.1 1
-1814 10 17     7.9     7.9     7.9 1
-1814 10 18     8.9     8.9     8.9 1
-1814 10 19     9.1     9.1     9.1 1
-1814 10 20     8.1     8.1     8.1 1
-1814 10 21     9.1     9.1     9.1 1
-1814 10 22     9.1     9.1     9.1 1
-1814 10 23     7.9     7.9     7.9 1
-1814 10 24     3.9     3.9     3.9 1
-1814 10 25     4.4     4.4     4.4 1
-1814 10 26     4.4     4.4     4.4 1
-1814 10 27     3.9     3.9     3.9 1
-1814 10 28     4.4     4.4     4.4 1
-1814 10 29     4.6     4.6     4.6 1
-1814 10 30     3.9     3.9     3.9 1
-1814 10 31     4.1     4.1     4.1 1
-1814 11  1     3.9     3.9     3.9 1
-1814 11  2     2.5     2.5     2.5 1
-1814 11  3    -1.9    -1.9    -1.9 1
-1814 11  4    -3.4    -3.4    -3.4 1
-1814 11  5     0.7     0.7     0.7 1
-1814 11  6     3.2     3.2     3.2 1
-1814 11  7     3.9     3.9     3.9 1
-1814 11  8     4.7     4.7     4.7 1
-1814 11  9     6.1     6.1     6.1 1
-1814 11 10     4.9     4.9     4.9 1
-1814 11 11     1.9     1.9     1.9 1
-1814 11 12     2.7     2.7     2.7 1
-1814 11 13     3.9     3.9     3.9 1
-1814 11 14     2.1     2.1     2.1 1
-1814 11 15     3.6     3.6     3.6 1
-1814 11 16     3.1     3.1     3.1 1
-1814 11 17     4.5     4.5     4.5 1
-1814 11 18     7.4     7.4     7.4 1
-1814 11 19     5.6     5.6     5.6 1
-1814 11 20     4.9     4.9     4.9 1
-1814 11 21     5.3     5.3     5.3 1
-1814 11 22     5.6     5.6     5.6 1
-1814 11 23     2.3     2.3     2.3 1
-1814 11 24     1.9     1.9     1.9 1
-1814 11 25     1.8     1.8     1.8 1
-1814 11 26     1.8     1.8     1.8 1
-1814 11 27     2.9     2.9     2.9 1
-1814 11 28     3.8     3.8     3.8 1
-1814 11 29     2.3     2.3     2.3 1
-1814 11 30     2.6     2.6     2.6 1
-1814 12  1     3.4     3.4     3.4 1
-1814 12  2     3.1     3.1     3.1 1
-1814 12  3     0.9     0.9     0.9 1
-1814 12  4    -4.2    -4.2    -4.2 1
-1814 12  5    -2.9    -2.9    -2.9 1
-1814 12  6    -4.4    -4.4    -4.4 1
-1814 12  7   -12.6   -12.6   -12.6 1
-1814 12  8    -5.1    -5.1    -5.1 1
-1814 12  9     2.9     2.9     2.9 1
-1814 12 10    -0.1    -0.1    -0.1 1
-1814 12 11    -2.3    -2.3    -2.3 1
-1814 12 12    -5.1    -5.1    -5.1 1
-1814 12 13    -4.1    -4.1    -4.1 1
-1814 12 14     2.6     2.6     2.6 1
-1814 12 15     4.2     4.2     4.2 1
-1814 12 16     3.9     3.9     3.9 1
-1814 12 17     2.9     2.9     2.9 1
-1814 12 18     3.2     3.2     3.2 1
-1814 12 19     3.1     3.1     3.1 1
-1814 12 20     1.4     1.4     1.4 1
-1814 12 21    -5.3    -5.3    -5.3 1
-1814 12 22    -5.8    -5.8    -5.8 1
-1814 12 23    -1.7    -1.7    -1.7 1
-1814 12 24    -2.4    -2.4    -2.4 1
-1814 12 25    -4.6    -4.6    -4.6 1
-1814 12 26    -6.9    -6.9    -6.9 1
-1814 12 27    -5.1    -5.1    -5.1 1
-1814 12 28    -1.9    -1.9    -1.9 1
-1814 12 29     0.3     0.3     0.3 1
-1814 12 30    -1.6    -1.6    -1.6 1
-1814 12 31    -1.9    -1.9    -1.9 1
-1815  1  1    -3.3    -3.3    -3.3 1
-1815  1  2    -3.3    -3.3    -3.3 1
-1815  1  3     1.4     1.4     1.4 1
-1815  1  4     2.9     2.9     2.9 1
-1815  1  5     0.9     0.9     0.9 1
-1815  1  6    -2.3    -2.3    -2.3 1
-1815  1  7    -3.1    -3.1    -3.1 1
-1815  1  8    -3.8    -3.8    -3.8 1
-1815  1  9    -3.3    -3.3    -3.3 1
-1815  1 10    -2.3    -2.3    -2.3 1
-1815  1 11     0.2     0.2     0.2 1
-1815  1 12    -0.4    -0.4    -0.4 1
-1815  1 13    -4.9    -4.9    -4.9 1
-1815  1 14    -5.6    -5.6    -5.6 1
-1815  1 15    -6.1    -6.1    -6.1 1
-1815  1 16    -7.5    -7.5    -7.5 1
-1815  1 17    -2.6    -2.6    -2.6 1
-1815  1 18    -2.3    -2.3    -2.3 1
-1815  1 19    -3.0    -3.0    -3.0 1
-1815  1 20    -3.5    -3.5    -3.5 1
-1815  1 21    -4.1    -4.1    -4.1 1
-1815  1 22    -3.6    -3.6    -3.6 1
-1815  1 23    -2.3    -2.3    -2.3 1
-1815  1 24    -0.8    -0.8    -0.8 1
-1815  1 25    -1.3    -1.3    -1.3 1
-1815  1 26    -3.5    -3.5    -3.5 1
-1815  1 27    -6.5    -6.5    -6.5 1
-1815  1 28    -7.6    -7.6    -7.6 1
-1815  1 29    -8.1    -8.1    -8.1 1
-1815  1 30    -9.8    -9.8    -9.8 1
-1815  1 31   -11.0   -11.0   -11.0 1
-1815  2  1    -9.5    -9.5    -9.5 1
-1815  2  2    -6.8    -6.8    -6.8 1
-1815  2  3    -6.5    -6.5    -6.5 1
-1815  2  4    -8.5    -8.5    -8.5 1
-1815  2  5    -4.6    -4.6    -4.6 1
-1815  2  6    -4.0    -4.0    -4.0 1
-1815  2  7    -2.3    -2.3    -2.3 1
-1815  2  8    -2.3    -2.3    -2.3 1
-1815  2  9    -0.8    -0.8    -0.8 1
-1815  2 10    -1.3    -1.3    -1.3 1
-1815  2 11    -2.1    -2.1    -2.1 1
-1815  2 12    -2.3    -2.3    -2.3 1
-1815  2 13    -2.0    -2.0    -2.0 1
-1815  2 14    -0.5    -0.5    -0.5 1
-1815  2 15     0.5     0.5     0.5 1
-1815  2 16     0.5     0.5     0.5 1
-1815  2 17     1.2     1.2     1.2 1
-1815  2 18    -4.9    -4.9    -4.9 1
-1815  2 19    -6.5    -6.5    -6.5 1
-1815  2 20    -5.8    -5.8    -5.8 1
-1815  2 21    -6.0    -6.0    -6.0 1
-1815  2 22    -6.3    -6.3    -6.3 1
-1815  2 23     1.8     1.8     1.8 1
-1815  2 24    -0.2    -0.2    -0.2 1
-1815  2 25     3.0     3.0     3.0 1
-1815  2 26     4.2     4.2     4.2 1
-1815  2 27     3.2     3.2     3.2 1
-1815  2 28     2.5     2.5     2.5 1
-1815  3  1    -0.1    -0.1    -0.1 1
-1815  3  2     0.5     0.5     0.5 1
-1815  3  3     1.2     1.2     1.2 1
-1815  3  4     2.9     2.9     2.9 1
-1815  3  5     1.2     1.2     1.2 1
-1815  3  6     2.1     2.1     2.1 1
-1815  3  7     0.4     0.4     0.4 1
-1815  3  8     2.1     2.1     2.1 1
-1815  3  9     2.6     2.6     2.6 1
-1815  3 10     0.4     0.4     0.4 1
-1815  3 11    -0.6    -0.6    -0.6 1
-1815  3 12     0.6     0.6     0.6 1
-1815  3 13     0.0     0.0     0.0 1
-1815  3 14    -0.4    -0.4    -0.4 1
-1815  3 15    -2.9    -2.9    -2.9 1
-1815  3 16    -2.9    -2.9    -2.9 1
-1815  3 17    -3.4    -3.4    -3.4 1
-1815  3 18    -4.5    -4.5    -4.5 1
-1815  3 19    -7.7    -7.7    -7.7 1
-1815  3 20    -9.3    -9.3    -9.3 1
-1815  3 21     2.7     2.7     2.7 1
-1815  3 22     4.7     4.7     4.7 1
-1815  3 23     4.7     4.7     4.7 1
-1815  3 24     2.7     2.7     2.7 1
-1815  3 25     0.0     0.0     0.0 1
-1815  3 26     0.4     0.4     0.4 1
-1815  3 27    -1.1    -1.1    -1.1 1
-1815  3 28    -4.3    -4.3    -4.3 1
-1815  3 29    -1.1    -1.1    -1.1 1
-1815  3 30     1.9     1.9     1.9 1
-1815  3 31     3.4     3.4     3.4 1
-1815  4  1     7.4     7.4     7.4 1
-1815  4  2    10.9    10.9    10.9 1
-1815  4  3     8.1     8.1     8.1 1
-1815  4  4     7.8     7.8     7.8 1
-1815  4  5     3.9     3.9     3.9 1
-1815  4  6     3.1     3.1     3.1 1
-1815  4  7     4.8     4.8     4.8 1
-1815  4  8     4.2     4.2     4.2 1
-1815  4  9     3.2     3.2     3.2 1
-1815  4 10     5.2     5.2     5.2 1
-1815  4 11     6.9     6.9     6.9 1
-1815  4 12     7.2     7.2     7.2 1
-1815  4 13     9.2     9.2     9.2 1
-1815  4 14     7.9     7.9     7.9 1
-1815  4 15     0.8     0.8     0.8 1
-1815  4 16    -0.2    -0.2    -0.2 1
-1815  4 17     0.0     0.0     0.0 1
-1815  4 18     4.3     4.3     4.3 1
-1815  4 19     4.2     4.2     4.2 1
-1815  4 20     4.2     4.2     4.2 1
-1815  4 21     3.7     3.7     3.7 1
-1815  4 22     2.6     2.6     2.6 1
-1815  4 23     2.7     2.7     2.7 1
-1815  4 24     3.7     3.7     3.7 1
-1815  4 25     6.8     6.8     6.8 1
-1815  4 26     9.4     9.4     9.4 1
-1815  4 27    10.6    10.6    10.6 1
-1815  4 28     7.5     7.5     7.5 1
-1815  4 29     5.0     5.0     5.0 1
-1815  4 30     7.1     7.1     7.1 1
-1815  5  1     8.6     8.6     8.6 1
-1815  5  2     9.7     9.7     9.7 1
-1815  5  3    10.4    10.4    10.4 1
-1815  5  4     6.4     6.4     6.4 1
-1815  5  5     8.1     8.1     8.0 1
-1815  5  6    12.7    12.7    12.6 1
-1815  5  7     5.7     5.7     5.6 1
-1815  5  8     3.7     3.7     3.6 1
-1815  5  9     6.6     6.6     6.5 1
-1815  5 10     8.6     8.6     8.4 1
-1815  5 11    11.6    11.6    11.4 1
-1815  5 12     7.6     7.6     7.4 1
-1815  5 13     9.9     9.9     9.7 1
-1815  5 14    11.4    11.4    11.1 1
-1815  5 15    11.8    11.8    11.5 1
-1815  5 16    12.1    12.1    11.8 1
-1815  5 17    14.6    14.6    14.3 1
-1815  5 18    10.6    10.6    10.3 1
-1815  5 19     9.6     9.6     9.2 1
-1815  5 20     8.1     8.1     7.7 1
-1815  5 21     8.0     8.0     7.6 1
-1815  5 22     8.0     8.0     7.6 1
-1815  5 23     9.3     9.3     8.8 1
-1815  5 24    10.8    10.8    10.3 1
-1815  5 25     8.1     8.1     7.6 1
-1815  5 26     6.1     6.1     5.6 1
-1815  5 27     4.2     4.2     3.7 1
-1815  5 28     5.8     5.8     5.2 1
-1815  5 29     6.5     6.5     5.9 1
-1815  5 30     6.7     6.7     6.1 1
-1815  5 31     7.8     7.8     7.2 1
-1815  6  1     5.2     5.2     4.5 1
-1815  6  2     6.3     6.3     5.6 1
-1815  6  3     5.9     5.9     5.2 1
-1815  6  4     4.5     4.5     3.8 1
-1815  6  5     9.2     9.2     8.5 1
-1815  6  6     6.0     6.0     5.3 1
-1815  6  7     7.8     7.8     7.1 1
-1815  6  8    10.3    10.3     9.6 1
-1815  6  9    10.3    10.3     9.6 1
-1815  6 10    14.5    14.5    13.8 1
-1815  6 11    16.5    16.5    15.8 1
-1815  6 12    17.0    17.0    16.3 1
-1815  6 13    12.6    12.6    11.9 1
-1815  6 14    12.8    12.8    12.1 1
-1815  6 15    11.5    11.5    10.8 1
-1815  6 16    13.7    13.7    13.0 1
-1815  6 17    14.9    14.9    14.2 1
-1815  6 18    11.8    11.8    11.1 1
-1815  6 19    11.5    11.5    10.8 1
-1815  6 20    13.7    13.7    13.0 1
-1815  6 21    14.1    14.1    13.4 1
-1815  6 22    15.6    15.6    14.9 1
-1815  6 23    12.2    12.2    11.5 1
-1815  6 24    10.8    10.8    10.1 1
-1815  6 25    13.0    13.0    12.3 1
-1815  6 26    11.3    11.3    10.6 1
-1815  6 27    12.3    12.3    11.6 1
-1815  6 28    16.1    16.1    15.4 1
-1815  6 29    16.6    16.6    15.9 1
-1815  6 30    18.0    18.0    17.3 1
-1815  7  1    16.8    16.8    16.1 1
-1815  7  2    16.7    16.7    16.0 1
-1815  7  3    12.2    12.2    11.5 1
-1815  7  4    13.0    13.0    12.3 1
-1815  7  5    13.3    13.3    12.6 1
-1815  7  6    12.8    12.8    12.1 1
-1815  7  7    13.2    13.2    12.5 1
-1815  7  8    13.2    13.2    12.5 1
-1815  7  9    17.2    17.2    16.5 1
-1815  7 10    17.2    17.2    16.5 1
-1815  7 11    14.5    14.5    13.8 1
-1815  7 12    16.2    16.2    15.5 1
-1815  7 13    17.2    17.2    16.5 1
-1815  7 14    19.3    19.3    18.6 1
-1815  7 15    19.3    19.3    18.6 1
-1815  7 16    17.1    17.1    16.4 1
-1815  7 17    19.2    19.2    18.5 1
-1815  7 18    18.1    18.1    17.4 1
-1815  7 19    16.4    16.4    15.7 1
-1815  7 20    14.7    14.7    14.0 1
-1815  7 21    16.7    16.7    16.0 1
-1815  7 22    15.6    15.6    14.9 1
-1815  7 23    16.0    16.0    15.3 1
-1815  7 24    16.2    16.2    15.5 1
-1815  7 25    16.1    16.1    15.4 1
-1815  7 26    15.8    15.8    15.1 1
-1815  7 27    16.1    16.1    15.4 1
-1815  7 28    16.4    16.4    15.7 1
-1815  7 29    15.6    15.6    14.9 1
-1815  7 30    12.0    12.0    11.3 1
-1815  7 31    12.7    12.7    12.0 1
-1815  8  1    12.5    12.5    11.9 1
-1815  8  2    12.9    12.9    12.3 1
-1815  8  3    14.8    14.8    14.2 1
-1815  8  4    14.6    14.6    14.0 1
-1815  8  5    14.5    14.5    14.0 1
-1815  8  6    18.1    18.1    17.6 1
-1815  8  7    17.6    17.6    17.1 1
-1815  8  8    18.4    18.4    17.9 1
-1815  8  9    17.6    17.6    17.1 1
-1815  8 10    17.4    17.4    17.0 1
-1815  8 11    18.3    18.3    17.9 1
-1815  8 12    17.4    17.4    17.0 1
-1815  8 13    18.0    18.0    17.6 1
-1815  8 14    17.8    17.8    17.5 1
-1815  8 15    16.3    16.3    16.0 1
-1815  8 16    16.3    16.3    16.0 1
-1815  8 17    16.0    16.0    15.7 1
-1815  8 18    16.1    16.1    15.8 1
-1815  8 19    16.1    16.1    15.9 1
-1815  8 20    16.0    16.0    15.8 1
-1815  8 21    14.3    14.3    14.1 1
-1815  8 22    14.4    14.4    14.2 1
-1815  8 23    13.6    13.6    13.5 1
-1815  8 24    17.6    17.6    17.5 1
-1815  8 25    19.0    19.0    18.9 1
-1815  8 26    18.3    18.3    18.2 1
-1815  8 27    17.6    17.6    17.5 1
-1815  8 28    18.6    18.6    18.6 1
-1815  8 29    19.4    19.4    19.4 1
-1815  8 30    16.9    16.9    16.9 1
-1815  8 31    15.7    15.7    15.7 1
-1815  9  1    16.5    16.5    16.5 1
-1815  9  2    15.2    15.2    15.2 1
-1815  9  3    16.2    16.2    16.2 1
-1815  9  4    14.8    14.8    14.8 1
-1815  9  5    10.8    10.8    10.8 1
-1815  9  6    10.8    10.8    10.8 1
-1815  9  7    10.0    10.0    10.0 1
-1815  9  8     9.5     9.5     9.5 1
-1815  9  9     8.6     8.6     8.6 1
-1815  9 10    12.8    12.8    12.8 1
-1815  9 11    12.5    12.5    12.5 1
-1815  9 12    12.1    12.1    12.1 1
-1815  9 13    11.8    11.8    11.8 1
-1815  9 14    11.7    11.7    11.7 1
-1815  9 15    11.4    11.4    11.4 1
-1815  9 16     9.1     9.1     9.1 1
-1815  9 17    10.1    10.1    10.1 1
-1815  9 18     8.7     8.7     8.7 1
-1815  9 19     8.1     8.1     8.1 1
-1815  9 20     7.4     7.4     7.4 1
-1815  9 21    10.1    10.1    10.1 1
-1815  9 22    10.0    10.0    10.0 1
-1815  9 23    10.4    10.4    10.4 1
-1815  9 24    10.7    10.7    10.7 1
-1815  9 25    11.0    11.0    11.0 1
-1815  9 26    11.5    11.5    11.5 1
-1815  9 27    11.0    11.0    11.0 1
-1815  9 28    10.2    10.2    10.2 1
-1815  9 29    11.3    11.3    11.3 1
-1815  9 30    11.3    11.3    11.3 1
-1815 10  1    11.3    11.3    11.3 1
-1815 10  2    11.6    11.6    11.6 1
-1815 10  3    12.0    12.0    12.0 1
-1815 10  4    11.6    11.6    11.6 1
-1815 10  5    10.6    10.6    10.6 1
-1815 10  6     8.9     8.9     8.9 1
-1815 10  7     9.6     9.6     9.6 1
-1815 10  8    10.6    10.6    10.6 1
-1815 10  9     6.2     6.2     6.2 1
-1815 10 10     5.1     5.1     5.1 1
-1815 10 11     6.9     6.9     6.9 1
-1815 10 12     6.3     6.3     6.3 1
-1815 10 13     6.3     6.3     6.3 1
-1815 10 14     5.6     5.6     5.6 1
-1815 10 15     5.9     5.9     5.9 1
-1815 10 16     4.9     4.9     4.9 1
-1815 10 17     7.6     7.6     7.6 1
-1815 10 18     7.6     7.6     7.6 1
-1815 10 19     7.2     7.2     7.2 1
-1815 10 20     5.4     5.4     5.4 1
-1815 10 21     9.2     9.2     9.2 1
-1815 10 22     9.9     9.9     9.9 1
-1815 10 23     7.9     7.9     7.9 1
-1815 10 24     8.9     8.9     8.9 1
-1815 10 25     9.2     9.2     9.2 1
-1815 10 26     8.6     8.6     8.6 1
-1815 10 27     8.9     8.9     8.9 1
-1815 10 28     4.9     4.9     4.9 1
-1815 10 29     3.6     3.6     3.6 1
-1815 10 30     1.9     1.9     1.9 1
-1815 10 31    -1.5    -1.5    -1.5 1
-1815 11  1     3.5     3.5     3.5 1
-1815 11  2     3.9     3.9     3.9 1
-1815 11  3     0.0     0.0     0.0 1
-1815 11  4     0.2     0.2     0.2 1
-1815 11  5     3.8     3.8     3.8 1
-1815 11  6     2.2     2.2     2.2 1
-1815 11  7     5.7     5.7     5.7 1
-1815 11  8     2.2     2.2     2.2 1
-1815 11  9     2.7     2.7     2.7 1
-1815 11 10     5.4     5.4     5.4 1
-1815 11 11     5.0     5.0     5.0 1
-1815 11 12     6.2     6.2     6.2 1
-1815 11 13     7.1     7.1     7.1 1
-1815 11 14     7.2     7.2     7.2 1
-1815 11 15     5.4     5.4     5.4 1
-1815 11 16     5.4     5.4     5.4 1
-1815 11 17     4.0     4.0     4.0 1
-1815 11 18     4.0     4.0     4.0 1
-1815 11 19     2.5     2.5     2.5 1
-1815 11 20    -1.3    -1.3    -1.3 1
-1815 11 21    -0.7    -0.7    -0.7 1
-1815 11 22    -2.4    -2.4    -2.4 1
-1815 11 23     1.6     1.6     1.6 1
-1815 11 24    -0.6    -0.6    -0.6 1
-1815 11 25    -1.6    -1.6    -1.6 1
-1815 11 26    -1.3    -1.3    -1.3 1
-1815 11 27     0.1     0.1     0.1 1
-1815 11 28    -1.1    -1.1    -1.1 1
-1815 11 29     1.4     1.4     1.4 1
-1815 11 30     0.5     0.5     0.5 1
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-1815 12  2    -3.1    -3.1    -3.1 1
-1815 12  3    -3.6    -3.6    -3.6 1
-1815 12  4    -1.6    -1.6    -1.6 1
-1815 12  5    -1.3    -1.3    -1.3 1
-1815 12  6    -8.3    -8.3    -8.3 1
-1815 12  7   -12.1   -12.1   -12.1 1
-1815 12  8    -4.3    -4.3    -4.3 1
-1815 12  9    -2.4    -2.4    -2.4 1
-1815 12 10    -3.8    -3.8    -3.8 1
-1815 12 11    -2.4    -2.4    -2.4 1
-1815 12 12    -0.9    -0.9    -0.9 1
-1815 12 13    -0.1    -0.1    -0.1 1
-1815 12 14     0.9     0.9     0.9 1
-1815 12 15     2.6     2.6     2.6 1
-1815 12 16     2.6     2.6     2.6 1
-1815 12 17     1.1     1.1     1.1 1
-1815 12 18    -6.6    -6.6    -6.6 1
-1815 12 19    -4.6    -4.6    -4.6 1
-1815 12 20    -2.4    -2.4    -2.4 1
-1815 12 21    -2.9    -2.9    -2.9 1
-1815 12 22    -3.1    -3.1    -3.1 1
-1815 12 23    -9.9    -9.9    -9.9 1
-1815 12 24    -0.3    -0.3    -0.3 1
-1815 12 25     0.4     0.4     0.4 1
-1815 12 26    -3.2    -3.2    -3.2 1
-1815 12 27    -2.4    -2.4    -2.4 1
-1815 12 28     0.9     0.9     0.9 1
-1815 12 29    -2.6    -2.6    -2.6 1
-1815 12 30    -6.4    -6.4    -6.4 1
-1815 12 31    -9.4    -9.4    -9.4 1
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-1816  1  3    -4.6    -4.6    -4.6 1
-1816  1  4    -5.4    -5.4    -5.4 1
-1816  1  5    -7.6    -7.6    -7.6 1
-1816  1  6    -5.5    -5.5    -5.5 1
-1816  1  7    -1.0    -1.0    -1.0 1
-1816  1  8    -9.6    -9.6    -9.6 1
-1816  1  9    -6.4    -6.4    -6.4 1
-1816  1 10    -3.5    -3.5    -3.5 1
-1816  1 11    -0.2    -0.2    -0.2 1
-1816  1 12     1.9     1.9     1.9 1
-1816  1 13     1.5     1.5     1.5 1
-1816  1 14     1.4     1.4     1.4 1
-1816  1 15     0.0     0.0     0.0 1
-1816  1 16     1.1     1.1     1.1 1
-1816  1 17     0.9     0.9     0.9 1
-1816  1 18     2.0     2.0     2.0 1
-1816  1 19     2.5     2.5     2.5 1
-1816  1 20     1.2     1.2     1.2 1
-1816  1 21     1.1     1.1     1.1 1
-1816  1 22    -0.1    -0.1    -0.1 1
-1816  1 23    -3.0    -3.0    -3.0 1
-1816  1 24    -0.8    -0.8    -0.8 1
-1816  1 25    -5.0    -5.0    -5.0 1
-1816  1 26    -8.8    -8.8    -8.8 1
-1816  1 27   -12.8   -12.8   -12.8 1
-1816  1 28   -16.5   -16.5   -16.5 1
-1816  1 29   -14.2   -14.2   -14.2 1
-1816  1 30    -9.2    -9.2    -9.2 1
-1816  1 31    -6.2    -6.2    -6.2 1
-1816  2  1    -4.8    -4.8    -4.8 1
-1816  2  2    -9.0    -9.0    -9.0 1
-1816  2  3   -11.8   -11.8   -11.8 1
-1816  2  4   -18.5   -18.5   -18.5 1
-1816  2  5   -17.5   -17.5   -17.5 1
-1816  2  6   -18.1   -18.1   -18.1 1
-1816  2  7   -13.8   -13.8   -13.8 1
-1816  2  8   -17.3   -17.3   -17.3 1
-1816  2  9   -16.2   -16.2   -16.2 1
-1816  2 10    -6.2    -6.2    -6.2 1
-1816  2 11   -10.2   -10.2   -10.2 1
-1816  2 12   -12.0   -12.0   -12.0 1
-1816  2 13    -4.5    -4.5    -4.5 1
-1816  2 14    -5.0    -5.0    -5.0 1
-1816  2 15     0.5     0.5     0.5 1
-1816  2 16    -1.8    -1.8    -1.8 1
-1816  2 17   -12.7   -12.7   -12.7 1
-1816  2 18   -12.0   -12.0   -12.0 1
-1816  2 19   -12.0   -12.0   -12.0 1
-1816  2 20    -5.8    -5.8    -5.8 1
-1816  2 21     2.4     2.4     2.4 1
-1816  2 22    -5.6    -5.6    -5.6 1
-1816  2 23    -0.7    -0.7    -0.7 1
-1816  2 24     1.4     1.4     1.4 1
-1816  2 25     1.6     1.6     1.6 1
-1816  2 26     1.4     1.4     1.4 1
-1816  2 27    -1.8    -1.8    -1.8 1
-1816  2 28    -5.4    -5.4    -5.4 1
-1816  2 29    -6.9    -6.9    -6.9 1
-1816  3  1    -9.6    -9.6    -9.6 1
-1816  3  2   -13.6   -13.6   -13.6 1
-1816  3  3    -9.8    -9.8    -9.8 1
-1816  3  4   -10.1   -10.1   -10.1 1
-1816  3  5   -11.4   -11.4   -11.4 1
-1816  3  6   -12.4   -12.4   -12.4 1
-1816  3  7   -13.2   -13.2   -13.2 1
-1816  3  8    -5.0    -5.0    -5.0 1
-1816  3  9    -9.4    -9.4    -9.4 1
-1816  3 10    -7.6    -7.6    -7.6 1
-1816  3 11    -3.2    -3.2    -3.2 1
-1816  3 12     2.0     2.0     2.0 1
-1816  3 13     2.1     2.1     2.1 1
-1816  3 14     1.3     1.3     1.3 1
-1816  3 15    -1.7    -1.7    -1.7 1
-1816  3 16     2.3     2.3     2.3 1
-1816  3 17     2.0     2.0     2.0 1
-1816  3 18     0.3     0.3     0.3 1
-1816  3 19     1.0     1.0     1.0 1
-1816  3 20     0.3     0.3     0.3 1
-1816  3 21    -1.9    -1.9    -1.9 1
-1816  3 22    -1.1    -1.1    -1.1 1
-1816  3 23    -1.3    -1.3    -1.3 1
-1816  3 24    -1.0    -1.0    -1.0 1
-1816  3 25     2.0     2.0     2.0 1
-1816  3 26     1.0     1.0     1.0 1
-1816  3 27    -0.3    -0.3    -0.3 1
-1816  3 28     0.2     0.2     0.2 1
-1816  3 29    -0.6    -0.6    -0.6 1
-1816  3 30     0.9     0.9     0.9 1
-1816  3 31    -1.0    -1.0    -1.0 1
-1816  4  1    -3.0    -3.0    -3.0 1
-1816  4  2    -3.6    -3.6    -3.6 1
-1816  4  3    -1.8    -1.8    -1.8 1
-1816  4  4    -0.6    -0.6    -0.6 1
-1816  4  5     0.2     0.2     0.2 1
-1816  4  6    -1.0    -1.0    -1.0 1
-1816  4  7    -0.6    -0.6    -0.6 1
-1816  4  8    -0.5    -0.5    -0.5 1
-1816  4  9    -0.1    -0.1    -0.1 1
-1816  4 10     2.6     2.6     2.6 1
-1816  4 11     4.2     4.2     4.2 1
-1816  4 12     5.4     5.4     5.4 1
-1816  4 13     4.4     4.4     4.4 1
-1816  4 14     4.0     4.0     4.0 1
-1816  4 15     0.9     0.9     0.9 1
-1816  4 16     2.7     2.7     2.7 1
-1816  4 17     3.4     3.4     3.4 1
-1816  4 18     3.9     3.9     3.9 1
-1816  4 19     6.2     6.2     6.2 1
-1816  4 20     4.5     4.5     4.5 1
-1816  4 21     5.0     5.0     5.0 1
-1816  4 22     5.7     5.7     5.7 1
-1816  4 23     6.2     6.2     6.2 1
-1816  4 24     6.7     6.7     6.7 1
-1816  4 25     8.3     8.3     8.3 1
-1816  4 26     7.0     7.0     7.0 1
-1816  4 27     4.2     4.2     4.2 1
-1816  4 28     4.7     4.7     4.7 1
-1816  4 29     2.8     2.8     2.8 1
-1816  4 30     1.6     1.6     1.6 1
-1816  5  1     1.3     1.3     1.3 1
-1816  5  2     3.0     3.0     3.0 1
-1816  5  3     3.0     3.0     3.0 1
-1816  5  4     4.0     4.0     4.0 1
-1816  5  5     3.4     3.4     3.3 1
-1816  5  6     1.6     1.6     1.5 1
-1816  5  7    -0.2    -0.2    -0.3 1
-1816  5  8    -2.6    -2.6    -2.7 1
-1816  5  9    -0.7    -0.7    -0.8 1
-1816  5 10     0.4     0.4     0.2 1
-1816  5 11     2.9     2.9     2.7 1
-1816  5 12     2.1     2.1     1.9 1
-1816  5 13     4.1     4.1     3.9 1
-1816  5 14     6.7     6.7     6.4 1
-1816  5 15     4.9     4.9     4.6 1
-1816  5 16     6.5     6.5     6.2 1
-1816  5 17     5.4     5.4     5.1 1
-1816  5 18     5.6     5.6     5.3 1
-1816  5 19     5.6     5.6     5.2 1
-1816  5 20     5.4     5.4     5.0 1
-1816  5 21     8.4     8.4     8.0 1
-1816  5 22    11.0    11.0    10.6 1
-1816  5 23     9.3     9.3     8.8 1
-1816  5 24     9.5     9.5     9.0 1
-1816  5 25    10.2    10.2     9.7 1
-1816  5 26    13.2    13.2    12.7 1
-1816  5 27    16.0    16.0    15.5 1
-1816  5 28    11.2    11.2    10.6 1
-1816  5 29    11.1    11.1    10.5 1
-1816  5 30    12.5    12.5    11.9 1
-1816  5 31    12.5    12.5    11.9 1
-1816  6  1    12.4    12.4    11.7 1
-1816  6  2    12.4    12.4    11.7 1
-1816  6  3    10.8    10.8    10.1 1
-1816  6  4    12.1    12.1    11.4 1
-1816  6  5     8.5     8.5     7.8 1
-1816  6  6     9.0     9.0     8.3 1
-1816  6  7    12.8    12.8    12.1 1
-1816  6  8    11.1    11.1    10.4 1
-1816  6  9    11.1    11.1    10.4 1
-1816  6 10    10.1    10.1     9.4 1
-1816  6 11    14.6    14.6    13.9 1
-1816  6 12    15.4    15.4    14.7 1
-1816  6 13    18.2    18.2    17.5 1
-1816  6 14    20.7    20.7    20.0 1
-1816  6 15    20.1    20.1    19.4 1
-1816  6 16    18.9    18.9    18.2 1
-1816  6 17    16.9    16.9    16.2 1
-1816  6 18    13.7    13.7    13.0 1
-1816  6 19    14.4    14.4    13.7 1
-1816  6 20    17.4    17.4    16.7 1
-1816  6 21    16.7    16.7    16.0 1
-1816  6 22    14.4    14.4    13.7 1
-1816  6 23    16.4    16.4    15.7 1
-1816  6 24    18.4    18.4    17.7 1
-1816  6 25    18.1    18.1    17.4 1
-1816  6 26    20.6    20.6    19.9 1
-1816  6 27    15.4    15.4    14.7 1
-1816  6 28    17.1    17.1    16.4 1
-1816  6 29    21.3    21.3    20.6 1
-1816  6 30    18.8    18.8    18.1 1
-1816  7  1    17.6    17.6    16.9 1
-1816  7  2    19.9    19.9    19.2 1
-1816  7  3    19.3    19.3    18.6 1
-1816  7  4    18.8    18.8    18.1 1
-1816  7  5    17.6    17.6    16.9 1
-1816  7  6    20.6    20.6    19.9 1
-1816  7  7    20.8    20.8    20.1 1
-1816  7  8    22.0    22.0    21.3 1
-1816  7  9    21.3    21.3    20.6 1
-1816  7 10    20.0    20.0    19.3 1
-1816  7 11    19.2    19.2    18.5 1
-1816  7 12    19.5    19.5    18.8 1
-1816  7 13    15.2    15.2    14.5 1
-1816  7 14    18.8    18.8    18.1 1
-1816  7 15    18.7    18.7    18.0 1
-1816  7 16    18.2    18.2    17.5 1
-1816  7 17    16.9    16.9    16.2 1
-1816  7 18    18.1    18.1    17.4 1
-1816  7 19    17.4    17.4    16.7 1
-1816  7 20    19.0    19.0    18.3 1
-1816  7 21    21.2    21.2    20.5 1
-1816  7 22    19.6    19.6    18.9 1
-1816  7 23    16.9    16.9    16.2 1
-1816  7 24    19.4    19.4    18.7 1
-1816  7 25    18.7    18.7    18.0 1
-1816  7 26    18.3    18.3    17.6 1
-1816  7 27    17.6    17.6    16.9 1
-1816  7 28    14.8    14.8    14.1 1
-1816  7 29    17.6    17.6    16.9 1
-1816  7 30    17.4    17.4    16.7 1
-1816  7 31    15.1    15.1    14.4 1
-1816  8  1    15.6    15.6    15.0 1
-1816  8  2    18.3    18.3    17.7 1
-1816  8  3    15.3    15.3    14.7 1
-1816  8  4    16.5    16.5    15.9 1
-1816  8  5    14.8    14.8    14.3 1
-1816  8  6    15.0    15.0    14.5 1
-1816  8  7    15.5    15.5    15.0 1
-1816  8  8    16.0    16.0    15.5 1
-1816  8  9    18.5    18.5    18.0 1
-1816  8 10    17.5    17.5    17.1 1
-1816  8 11    17.7    17.7    17.3 1
-1816  8 12    16.9    16.9    16.5 1
-1816  8 13    16.2    16.2    15.8 1
-1816  8 14    16.5    16.5    16.2 1
-1816  8 15    17.7    17.7    17.4 1
-1816  8 16    16.6    16.6    16.3 1
-1816  8 17    16.0    16.0    15.7 1
-1816  8 18    16.7    16.7    16.4 1
-1816  8 19    15.9    15.9    15.7 1
-1816  8 20    11.0    11.0    10.8 1
-1816  8 21    12.2    12.2    12.0 1
-1816  8 22    12.1    12.1    11.9 1
-1816  8 23    10.4    10.4    10.3 1
-1816  8 24     9.7     9.7     9.6 1
-1816  8 25    10.7    10.7    10.6 1
-1816  8 26    10.1    10.1    10.0 1
-1816  8 27    12.1    12.1    12.0 1
-1816  8 28    12.2    12.2    12.2 1
-1816  8 29    12.9    12.9    12.9 1
-1816  8 30    14.7    14.7    14.7 1
-1816  8 31    13.4    13.4    13.4 1
-1816  9  1    14.1    14.1    14.1 1
-1816  9  2    14.7    14.7    14.7 1
-1816  9  3    15.4    15.4    15.4 1
-1816  9  4    13.9    13.9    13.9 1
-1816  9  5    12.2    12.2    12.2 1
-1816  9  6    12.4    12.4    12.4 1
-1816  9  7    11.7    11.7    11.7 1
-1816  9  8    12.7    12.7    12.7 1
-1816  9  9    15.1    15.1    15.1 1
-1816  9 10    12.6    12.6    12.6 1
-1816  9 11    13.9    13.9    13.9 1
-1816  9 12    13.2    13.2    13.2 1
-1816  9 13    11.7    11.7    11.7 1
-1816  9 14    10.6    10.6    10.6 1
-1816  9 15    13.9    13.9    13.9 1
-1816  9 16    15.4    15.4    15.4 1
-1816  9 17    14.4    14.4    14.4 1
-1816  9 18    12.2    12.2    12.2 1
-1816  9 19     9.4     9.4     9.4 1
-1816  9 20     9.4     9.4     9.4 1
-1816  9 21    11.5    11.5    11.5 1
-1816  9 22     9.7     9.7     9.7 1
-1816  9 23    10.9    10.9    10.9 1
-1816  9 24     8.4     8.4     8.4 1
-1816  9 25     8.0     8.0     8.0 1
-1816  9 26     7.9     7.9     7.9 1
-1816  9 27     7.3     7.3     7.3 1
-1816  9 28     9.3     9.3     9.3 1
-1816  9 29     9.7     9.7     9.7 1
-1816  9 30    10.3    10.3    10.3 1
-1816 10  1     9.2     9.2     9.2 1
-1816 10  2     9.5     9.5     9.5 1
-1816 10  3     6.0     6.0     6.0 1
-1816 10  4     6.0     6.0     6.0 1
-1816 10  5     3.0     3.0     3.0 1
-1816 10  6     4.0     4.0     4.0 1
-1816 10  7     5.6     5.6     5.6 1
-1816 10  8     7.1     7.1     7.1 1
-1816 10  9     3.8     3.8     3.8 1
-1816 10 10     6.3     6.3     6.3 1
-1816 10 11     1.3     1.3     1.3 1
-1816 10 12     0.2     0.2     0.2 1
-1816 10 13     2.6     2.6     2.6 1
-1816 10 14     5.4     5.4     5.4 1
-1816 10 15     8.6     8.6     8.6 1
-1816 10 16     9.8     9.8     9.8 1
-1816 10 17     7.8     7.8     7.8 1
-1816 10 18     7.7     7.7     7.7 1
-1816 10 19     7.9     7.9     7.9 1
-1816 10 20     8.1     8.1     8.1 1
-1816 10 21     8.6     8.6     8.6 1
-1816 10 22     5.9     5.9     5.9 1
-1816 10 23     6.2     6.2     6.2 1
-1816 10 24     3.4     3.4     3.4 1
-1816 10 25     2.6     2.6     2.6 1
-1816 10 26     4.1     4.1     4.1 1
-1816 10 27     3.9     3.9     3.9 1
-1816 10 28     3.4     3.4     3.4 1
-1816 10 29     2.0     2.0     2.0 1
-1816 10 30     3.5     3.5     3.5 1
-1816 10 31     2.9     2.9     2.9 1
-1816 11  1     5.7     5.7     5.7 1
-1816 11  2     1.9     1.9     1.9 1
-1816 11  3     0.2     0.2     0.2 1
-1816 11  4     2.9     2.9     2.9 1
-1816 11  5     2.4     2.4     2.4 1
-1816 11  6     3.9     3.9     3.9 1
-1816 11  7     5.2     5.2     5.2 1
-1816 11  8     1.5     1.5     1.5 1
-1816 11  9     0.5     0.5     0.5 1
-1816 11 10     4.9     4.9     4.9 1
-1816 11 11     3.2     3.2     3.2 1
-1816 11 12     0.5     0.5     0.5 1
-1816 11 13     0.9     0.9     0.9 1
-1816 11 14     1.2     1.2     1.2 1
-1816 11 15    -3.5    -3.5    -3.5 1
-1816 11 16    -1.3    -1.3    -1.3 1
-1816 11 17    -8.4    -8.4    -8.4 1
-1816 11 18   -10.3   -10.3   -10.3 1
-1816 11 19   -10.3   -10.3   -10.3 1
-1816 11 20    -3.0    -3.0    -3.0 1
-1816 11 21     0.7     0.7     0.7 1
-1816 11 22    -0.8    -0.8    -0.8 1
-1816 11 23     1.1     1.1     1.1 1
-1816 11 24     0.9     0.9     0.9 1
-1816 11 25    -0.3    -0.3    -0.3 1
-1816 11 26     1.8     1.8     1.8 1
-1816 11 27     2.1     2.1     2.1 1
-1816 11 28     5.2     5.2     5.2 1
-1816 11 29     5.1     5.1     5.1 1
-1816 11 30     1.6     1.6     1.6 1
-1816 12  1    -0.1    -0.1    -0.1 1
-1816 12  2    -1.1    -1.1    -1.1 1
-1816 12  3     2.9     2.9     2.9 1
-1816 12  4    -0.1    -0.1    -0.1 1
-1816 12  5    -1.1    -1.1    -1.1 1
-1816 12  6    -2.3    -2.3    -2.3 1
-1816 12  7    -0.4    -0.4    -0.4 1
-1816 12  8     1.1     1.1     1.1 1
-1816 12  9     0.1     0.1     0.1 1
-1816 12 10    -0.9    -0.9    -0.9 1
-1816 12 11    -0.6    -0.6    -0.6 1
-1816 12 12     0.9     0.9     0.9 1
-1816 12 13     0.1     0.1     0.1 1
-1816 12 14    -4.4    -4.4    -4.4 1
-1816 12 15    -4.6    -4.6    -4.6 1
-1816 12 16    -0.2    -0.2    -0.2 1
-1816 12 17    -2.1    -2.1    -2.1 1
-1816 12 18    -5.2    -5.2    -5.2 1
-1816 12 19    -6.4    -6.4    -6.4 1
-1816 12 20    -7.4    -7.4    -7.4 1
-1816 12 21    -5.3    -5.3    -5.3 1
-1816 12 22    -1.4    -1.4    -1.4 1
-1816 12 23    -0.7    -0.7    -0.7 1
-1816 12 24     1.4     1.4     1.4 1
-1816 12 25     0.9     0.9     0.9 1
-1816 12 26     2.6     2.6     2.6 1
-1816 12 27     2.6     2.6     2.6 1
-1816 12 28     1.3     1.3     1.3 1
-1816 12 29     1.9     1.9     1.9 1
-1816 12 30    -0.8    -0.8    -0.8 1
-1816 12 31    -4.0    -4.0    -4.0 1
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-1817  1  2     0.4     0.4     0.4 1
-1817  1  3     1.4     1.4     1.4 1
-1817  1  4     1.2     1.2     1.2 1
-1817  1  5     1.7     1.7     1.7 1
-1817  1  6    -0.1    -0.1    -0.1 1
-1817  1  7    -1.8    -1.8    -1.8 1
-1817  1  8    -3.3    -3.3    -3.3 1
-1817  1  9     0.3     0.3     0.3 1
-1817  1 10     3.7     3.7     3.7 1
-1817  1 11     4.5     4.5     4.5 1
-1817  1 12     3.5     3.5     3.5 1
-1817  1 13     1.4     1.4     1.4 1
-1817  1 14     0.9     0.9     0.9 1
-1817  1 15     0.9     0.9     0.9 1
-1817  1 16    -0.6    -0.6    -0.6 1
-1817  1 17    -1.8    -1.8    -1.8 1
-1817  1 18     0.7     0.7     0.7 1
-1817  1 19     0.6     0.6     0.6 1
-1817  1 20     0.7     0.7     0.7 1
-1817  1 21     2.2     2.2     2.2 1
-1817  1 22     2.6     2.6     2.6 1
-1817  1 23     3.9     3.9     3.9 1
-1817  1 24     2.0     2.0     2.0 1
-1817  1 25    -2.3    -2.3    -2.3 1
-1817  1 26     2.7     2.7     2.7 1
-1817  1 27     1.5     1.5     1.5 1
-1817  1 28     0.2     0.2     0.2 1
-1817  1 29     0.5     0.5     0.5 1
-1817  1 30     0.0     0.0     0.0 1
-1817  1 31     0.3     0.3     0.3 1
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-1817  2  2    -0.3    -0.3    -0.3 1
-1817  2  3     5.0     5.0     5.0 1
-1817  2  4     1.7     1.7     1.7 1
-1817  2  5     2.2     2.2     2.2 1
-1817  2  6     0.0     0.0     0.0 1
-1817  2  7     1.4     1.4     1.4 1
-1817  2  8     2.5     2.5     2.5 1
-1817  2  9     1.8     1.8     1.8 1
-1817  2 10     0.5     0.5     0.5 1
-1817  2 11    -1.7    -1.7    -1.7 1
-1817  2 12    -2.3    -2.3    -2.3 1
-1817  2 13    -4.5    -4.5    -4.5 1
-1817  2 14    -7.7    -7.7    -7.7 1
-1817  2 15    -3.3    -3.3    -3.3 1
-1817  2 16     1.0     1.0     1.0 1
-1817  2 17    -2.9    -2.9    -2.9 1
-1817  2 18     3.0     3.0     3.0 1
-1817  2 19     0.4     0.4     0.4 1
-1817  2 20     0.7     0.7     0.7 1
-1817  2 21     1.2     1.2     1.2 1
-1817  2 22    -0.1    -0.1    -0.1 1
-1817  2 23    -2.3    -2.3    -2.3 1
-1817  2 24     0.6     0.6     0.6 1
-1817  2 25    -0.4    -0.4    -0.4 1
-1817  2 26     0.6     0.6     0.6 1
-1817  2 27    -1.8    -1.8    -1.8 1
-1817  2 28    -4.2    -4.2    -4.2 1
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-1817  3  2    -0.4    -0.4    -0.4 1
-1817  3  3     0.9     0.9     0.9 1
-1817  3  4    -1.7    -1.7    -1.7 1
-1817  3  5    -7.1    -7.1    -7.1 1
-1817  3  6    -8.9    -8.9    -8.9 1
-1817  3  7    -5.7    -5.7    -5.7 1
-1817  3  8    -9.2    -9.2    -9.2 1
-1817  3  9   -12.6   -12.6   -12.6 1
-1817  3 10   -10.5   -10.5   -10.5 1
-1817  3 11    -9.7    -9.7    -9.7 1
-1817  3 12    -1.0    -1.0    -1.0 1
-1817  3 13     2.3     2.3     2.3 1
-1817  3 14     1.3     1.3     1.3 1
-1817  3 15    -4.2    -4.2    -4.2 1
-1817  3 16    -4.0    -4.0    -4.0 1
-1817  3 17    -0.5    -0.5    -0.5 1
-1817  3 18     2.7     2.7     2.7 1
-1817  3 19     3.0     3.0     3.0 1
-1817  3 20     2.8     2.8     2.8 1
-1817  3 21     0.0     0.0     0.0 1
-1817  3 22    -3.8    -3.8    -3.8 1
-1817  3 23    -6.3    -6.3    -6.3 1
-1817  3 24    -5.7    -5.7    -5.7 1
-1817  3 25    -0.2    -0.2    -0.2 1
-1817  3 26     2.2     2.2     2.2 1
-1817  3 27     2.8     2.8     2.8 1
-1817  3 28     0.4     0.4     0.4 1
-1817  3 29    -0.3    -0.3    -0.3 1
-1817  3 30     2.5     2.5     2.5 1
-1817  3 31     3.7     3.7     3.7 1
-1817  4  1     2.7     2.7     2.7 1
-1817  4  2     6.7     6.7     6.7 1
-1817  4  3     4.0     4.0     4.0 1
-1817  4  4     2.4     2.4     2.4 1
-1817  4  5     1.5     1.5     1.5 1
-1817  4  6     4.0     4.0     4.0 1
-1817  4  7     4.0     4.0     4.0 1
-1817  4  8     7.2     7.2     7.2 1
-1817  4  9     1.5     1.5     1.5 1
-1817  4 10    -1.8    -1.8    -1.8 1
-1817  4 11    -0.6    -0.6    -0.6 1
-1817  4 12    -0.6    -0.6    -0.6 1
-1817  4 13    -0.5    -0.5    -0.5 1
-1817  4 14     2.4     2.4     2.4 1
-1817  4 15     2.9     2.9     2.9 1
-1817  4 16     1.9     1.9     1.9 1
-1817  4 17    -0.3    -0.3    -0.3 1
-1817  4 18    -0.7    -0.7    -0.7 1
-1817  4 19     2.5     2.5     2.5 1
-1817  4 20     1.4     1.4     1.4 1
-1817  4 21     2.4     2.4     2.4 1
-1817  4 22     4.4     4.4     4.4 1
-1817  4 23     5.5     5.5     5.5 1
-1817  4 24     4.8     4.8     4.8 1
-1817  4 25     1.0     1.0     1.0 1
-1817  4 26     1.2     1.2     1.2 1
-1817  4 27     0.7     0.7     0.7 1
-1817  4 28     2.3     2.3     2.3 1
-1817  4 29     5.3     5.3     5.3 1
-1817  4 30     7.6     7.6     7.6 1
-1817  5  1     6.6     6.6     6.6 1
-1817  5  2     8.0     8.0     8.0 1
-1817  5  3    11.0    11.0    11.0 1
-1817  5  4    10.8    10.8    10.8 1
-1817  5  5     9.0     9.0     8.9 1
-1817  5  6     8.6     8.6     8.5 1
-1817  5  7     5.4     5.4     5.3 1
-1817  5  8     7.4     7.4     7.3 1
-1817  5  9     5.9     5.9     5.8 1
-1817  5 10     6.9     6.9     6.7 1
-1817  5 11     5.6     5.6     5.4 1
-1817  5 12    11.6    11.6    11.4 1
-1817  5 13     9.4     9.4     9.2 1
-1817  5 14     8.9     8.9     8.6 1
-1817  5 15    10.2    10.2     9.9 1
-1817  5 16     8.8     8.8     8.5 1
-1817  5 17    10.2    10.2     9.9 1
-1817  5 18    12.0    12.0    11.7 1
-1817  5 19     7.9     7.9     7.5 1
-1817  5 20     9.6     9.6     9.2 1
-1817  5 21    10.0    10.0     9.6 1
-1817  5 22    12.8    12.8    12.4 1
-1817  5 23    13.5    13.5    13.0 1
-1817  5 24    15.5    15.5    15.0 1
-1817  5 25    15.2    15.2    14.7 1
-1817  5 26    15.8    15.8    15.3 1
-1817  5 27    15.3    15.3    14.8 1
-1817  5 28    17.1    17.1    16.5 1
-1817  5 29    18.2    18.2    17.6 1
-1817  5 30    17.2    17.2    16.6 1
-1817  5 31     9.5     9.5     8.9 1
-1817  6  1    13.5    13.5    12.8 1
-1817  6  2    12.2    12.2    11.5 1
-1817  6  3    13.5    13.5    12.8 1
-1817  6  4    13.3    13.3    12.6 1
-1817  6  5    12.2    12.2    11.5 1
-1817  6  6    12.8    12.8    12.1 1
-1817  6  7    12.2    12.2    11.5 1
-1817  6  8    16.0    16.0    15.3 1
-1817  6  9    13.1    13.1    12.4 1
-1817  6 10    14.6    14.6    13.9 1
-1817  6 11     9.5     9.5     8.8 1
-1817  6 12     9.5     9.5     8.8 1
-1817  6 13    12.0    12.0    11.3 1
-1817  6 14    12.2    12.2    11.5 1
-1817  6 15    14.0    14.0    13.3 1
-1817  6 16     8.3     8.3     7.6 1
-1817  6 17    14.6    14.6    13.9 1
-1817  6 18    16.6    16.6    15.9 1
-1817  6 19    18.9    18.9    18.2 1
-1817  6 20    19.9    19.9    19.2 1
-1817  6 21    20.9    20.9    20.2 1
-1817  6 22    22.3    22.3    21.6 1
-1817  6 23    15.3    15.3    14.6 1
-1817  6 24    13.1    13.1    12.4 1
-1817  6 25    13.8    13.8    13.1 1
-1817  6 26    11.1    11.1    10.4 1
-1817  6 27    12.0    12.0    11.3 1
-1817  6 28    14.1    14.1    13.4 1
-1817  6 29    18.3    18.3    17.6 1
-1817  6 30    17.8    17.8    17.1 1
-1817  7  1    18.3    18.3    17.6 1
-1817  7  2    18.3    18.3    17.6 1
-1817  7  3    19.3    19.3    18.6 1
-1817  7  4    19.1    19.1    18.4 1
-1817  7  5    17.2    17.2    16.5 1
-1817  7  6    16.0    16.0    15.3 1
-1817  7  7    17.2    17.2    16.5 1
-1817  7  8    16.7    16.7    16.0 1
-1817  7  9    16.0    16.0    15.3 1
-1817  7 10    15.5    15.5    14.8 1
-1817  7 11    16.8    16.8    16.1 1
-1817  7 12    16.2    16.2    15.5 1
-1817  7 13    14.7    14.7    14.0 1
-1817  7 14    14.5    14.5    13.8 1
-1817  7 15    16.3    16.3    15.6 1
-1817  7 16    16.2    16.2    15.5 1
-1817  7 17    15.1    15.1    14.4 1
-1817  7 18    16.7    16.7    16.0 1
-1817  7 19    15.9    15.9    15.2 1
-1817  7 20    15.7    15.7    15.0 1
-1817  7 21    15.9    15.9    15.2 1
-1817  7 22    17.9    17.9    17.2 1
-1817  7 23    19.0    19.0    18.3 1
-1817  7 24    22.6    22.6    21.9 1
-1817  7 25    23.6    23.6    22.9 1
-1817  7 26    22.2    22.2    21.5 1
-1817  7 27    20.6    20.6    19.9 1
-1817  7 28    17.9    17.9    17.2 1
-1817  7 29    14.1    14.1    13.4 1
-1817  7 30    15.6    15.6    14.9 1
-1817  7 31    17.1    17.1    16.4 1
-1817  8  1    17.3    17.3    16.7 1
-1817  8  2    16.0    16.0    15.4 1
-1817  8  3    15.3    15.3    14.7 1
-1817  8  4    15.0    15.0    14.4 1
-1817  8  5    13.8    13.8    13.3 1
-1817  8  6    13.8    13.8    13.3 1
-1817  8  7    15.0    15.0    14.5 1
-1817  8  8    16.5    16.5    16.0 1
-1817  8  9    17.0    17.0    16.5 1
-1817  8 10    14.9    14.9    14.5 1
-1817  8 11    15.7    15.7    15.3 1
-1817  8 12    15.5    15.5    15.1 1
-1817  8 13    15.7    15.7    15.3 1
-1817  8 14    15.5    15.5    15.2 1
-1817  8 15    17.7    17.7    17.4 1
-1817  8 16    17.0    17.0    16.7 1
-1817  8 17    16.6    16.6    16.3 1
-1817  8 18    15.6    15.6    15.3 1
-1817  8 19    15.5    15.5    15.3 1
-1817  8 20    16.3    16.3    16.1 1
-1817  8 21    14.7    14.7    14.5 1
-1817  8 22    10.6    10.6    10.4 1
-1817  8 23    10.9    10.9    10.8 1
-1817  8 24    11.6    11.6    11.5 1
-1817  8 25    14.2    14.2    14.1 1
-1817  8 26    14.9    14.9    14.8 1
-1817  8 27    17.6    17.6    17.5 1
-1817  8 28    16.2    16.2    16.2 1
-1817  8 29    15.9    15.9    15.9 1
-1817  8 30    14.9    14.9    14.9 1
-1817  8 31    13.1    13.1    13.1 1
-1817  9  1    11.7    11.7    11.7 1
-1817  9  2    11.8    11.8    11.8 1
-1817  9  3    12.1    12.1    12.1 1
-1817  9  4    13.4    13.4    13.4 1
-1817  9  5    12.7    12.7    12.7 1
-1817  9  6    13.2    13.2    13.2 1
-1817  9  7    14.1    14.1    14.1 1
-1817  9  8    13.4    13.4    13.4 1
-1817  9  9    13.2    13.2    13.2 1
-1817  9 10    13.6    13.6    13.6 1
-1817  9 11    12.9    12.9    12.9 1
-1817  9 12    13.2    13.2    13.2 1
-1817  9 13    13.6    13.6    13.6 1
-1817  9 14    13.4    13.4    13.4 1
-1817  9 15    14.7    14.7    14.7 1
-1817  9 16    13.6    13.6    13.6 1
-1817  9 17    13.9    13.9    13.9 1
-1817  9 18    12.9    12.9    12.9 1
-1817  9 19    12.2    12.2    12.2 1
-1817  9 20    13.7    13.7    13.7 1
-1817  9 21    14.2    14.2    14.2 1
-1817  9 22    14.7    14.7    14.7 1
-1817  9 23    14.7    14.7    14.7 1
-1817  9 24    11.0    11.0    11.0 1
-1817  9 25    10.4    10.4    10.4 1
-1817  9 26    13.5    13.5    13.5 1
-1817  9 27    13.5    13.5    13.5 1
-1817  9 28    12.0    12.0    12.0 1
-1817  9 29     6.2     6.2     6.2 1
-1817  9 30     3.0     3.0     3.0 1
-1817 10  1     6.3     6.3     6.3 1
-1817 10  2     4.5     4.5     4.5 1
-1817 10  3     2.1     2.1     2.1 1
-1817 10  4     5.0     5.0     5.0 1
-1817 10  5     7.1     7.1     7.1 1
-1817 10  6     6.1     6.1     6.1 1
-1817 10  7     6.8     6.8     6.8 1
-1817 10  8     6.8     6.8     6.8 1
-1817 10  9     6.3     6.3     6.3 1
-1817 10 10     7.1     7.1     7.1 1
-1817 10 11     4.4     4.4     4.4 1
-1817 10 12     3.6     3.6     3.6 1
-1817 10 13     2.3     2.3     2.3 1
-1817 10 14     3.8     3.8     3.8 1
-1817 10 15     1.8     1.8     1.8 1
-1817 10 16     0.4     0.4     0.4 1
-1817 10 17     3.9     3.9     3.9 1
-1817 10 18     4.2     4.2     4.2 1
-1817 10 19     4.9     4.9     4.9 1
-1817 10 20     3.2     3.2     3.2 1
-1817 10 21     4.6     4.6     4.6 1
-1817 10 22     3.8     3.8     3.8 1
-1817 10 23     2.9     2.9     2.9 1
-1817 10 24     1.2     1.2     1.2 1
-1817 10 25     3.6     3.6     3.6 1
-1817 10 26     5.2     5.2     5.2 1
-1817 10 27     5.6     5.6     5.6 1
-1817 10 28     5.2     5.2     5.2 1
-1817 10 29     6.2     6.2     6.2 1
-1817 10 30     7.1     7.1     7.1 1
-1817 10 31     7.4     7.4     7.4 1
-1817 11  1     6.5     6.5     6.5 1
-1817 11  2     6.2     6.2     6.2 1
-1817 11  3     5.5     5.5     5.5 1
-1817 11  4     2.7     2.7     2.7 1
-1817 11  5     3.7     3.7     3.7 1
-1817 11  6     2.9     2.9     2.9 1
-1817 11  7     0.9     0.9     0.9 1
-1817 11  8     3.2     3.2     3.2 1
-1817 11  9     4.2     4.2     4.2 1
-1817 11 10     4.1     4.1     4.1 1
-1817 11 11     1.5     1.5     1.5 1
-1817 11 12     2.1     2.1     2.1 1
-1817 11 13     3.1     3.1     3.1 1
-1817 11 14    -0.3    -0.3    -0.3 1
-1817 11 15     1.2     1.2     1.2 1
-1817 11 16     0.9     0.9     0.9 1
-1817 11 17     1.6     1.6     1.6 1
-1817 11 18     2.7     2.7     2.7 1
-1817 11 19     3.2     3.2     3.2 1
-1817 11 20    -0.3    -0.3    -0.3 1
-1817 11 21    -1.8    -1.8    -1.8 1
-1817 11 22    -1.1    -1.1    -1.1 1
-1817 11 23    -1.1    -1.1    -1.1 1
-1817 11 24     0.9     0.9     0.9 1
-1817 11 25    -0.6    -0.6    -0.6 1
-1817 11 26    -4.8    -4.8    -4.8 1
-1817 11 27     1.6     1.6     1.6 1
-1817 11 28    -2.6    -2.6    -2.6 1
-1817 11 29    -0.9    -0.9    -0.9 1
-1817 11 30    -0.3    -0.3    -0.3 1
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-1817 12  2    -7.6    -7.6    -7.6 1
-1817 12  3   -10.1   -10.1   -10.1 1
-1817 12  4   -11.9   -11.9   -11.9 1
-1817 12  5    -5.8    -5.8    -5.8 1
-1817 12  6    -2.4    -2.4    -2.4 1
-1817 12  7     0.6     0.6     0.6 1
-1817 12  8     0.9     0.9     0.9 1
-1817 12  9     0.3     0.3     0.3 1
-1817 12 10    -0.1    -0.1    -0.1 1
-1817 12 11    -0.4    -0.4    -0.4 1
-1817 12 12    -3.1    -3.1    -3.1 1
-1817 12 13    -3.6    -3.6    -3.6 1
-1817 12 14    -4.9    -4.9    -4.9 1
-1817 12 15    -5.7    -5.7    -5.7 1
-1817 12 16    -6.1    -6.1    -6.1 1
-1817 12 17    -6.7    -6.7    -6.7 1
-1817 12 18    -7.1    -7.1    -7.1 1
-1817 12 19   -11.7   -11.7   -11.7 1
-1817 12 20    -8.7    -8.7    -8.7 1
-1817 12 21    -5.7    -5.7    -5.7 1
-1817 12 22    -9.2    -9.2    -9.2 1
-1817 12 23    -8.7    -8.7    -8.7 1
-1817 12 24   -10.6   -10.6   -10.6 1
-1817 12 25   -14.8   -14.8   -14.8 1
-1817 12 26   -19.1   -19.1   -19.1 1
-1817 12 27   -14.1   -14.1   -14.1 1
-1817 12 28   -13.9   -13.9   -13.9 1
-1817 12 29   -19.6   -19.6   -19.6 1
-1817 12 30   -20.3   -20.3   -20.3 1
-1817 12 31   -15.1   -15.1   -15.1 1
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-1818  1  2   -14.3   -14.3   -14.3 1
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-1818  1  4    -9.8    -9.8    -9.8 1
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-1818  1  6    -1.6    -1.6    -1.6 1
-1818  1  7     0.9     0.9     0.9 1
-1818  1  8     0.4     0.4     0.4 1
-1818  1  9    -3.5    -3.5    -3.5 1
-1818  1 10    -2.1    -2.1    -2.1 1
-1818  1 11     2.5     2.5     2.5 1
-1818  1 12     1.1     1.1     1.1 1
-1818  1 13    -0.6    -0.6    -0.6 1
-1818  1 14     2.7     2.7     2.7 1
-1818  1 15     1.5     1.5     1.5 1
-1818  1 16     0.0     0.0     0.0 1
-1818  1 17    -3.8    -3.8    -3.8 1
-1818  1 18    -6.1    -6.1    -6.1 1
-1818  1 19    -7.1    -7.1    -7.1 1
-1818  1 20    -4.1    -4.1    -4.1 1
-1818  1 21    -3.6    -3.6    -3.6 1
-1818  1 22     0.7     0.7     0.7 1
-1818  1 23    -0.2    -0.2    -0.2 1
-1818  1 24     0.5     0.5     0.5 1
-1818  1 25    -1.5    -1.5    -1.5 1
-1818  1 26    -1.8    -1.8    -1.8 1
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-1818  1 28    -0.3    -0.3    -0.3 1
-1818  1 29    -0.5    -0.5    -0.5 1
-1818  1 30    -6.3    -6.3    -6.3 1
-1818  1 31    -5.7    -5.7    -5.7 1
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-1818  2  2    -4.3    -4.3    -4.3 1
-1818  2  3     0.3     0.3     0.3 1
-1818  2  4     0.8     0.8     0.8 1
-1818  2  5    -2.0    -2.0    -2.0 1
-1818  2  6    -4.5    -4.5    -4.5 1
-1818  2  7    -2.6    -2.6    -2.6 1
-1818  2  8     0.7     0.7     0.7 1
-1818  2  9    -0.6    -0.6    -0.6 1
-1818  2 10    -5.5    -5.5    -5.5 1
-1818  2 11    -6.1    -6.1    -6.1 1
-1818  2 12    -1.0    -1.0    -1.0 1
-1818  2 13     0.3     0.3     0.3 1
-1818  2 14    -1.2    -1.2    -1.2 1
-1818  2 15    -4.7    -4.7    -4.7 1
-1818  2 16    -6.7    -6.7    -6.7 1
-1818  2 17    -2.8    -2.8    -2.8 1
-1818  2 18     1.0     1.0     1.0 1
-1818  2 19     1.2     1.2     1.2 1
-1818  2 20     0.5     0.5     0.5 1
-1818  2 21     0.2     0.2     0.2 1
-1818  2 22     0.4     0.4     0.4 1
-1818  2 23    -1.9    -1.9    -1.9 1
-1818  2 24    -3.8    -3.8    -3.8 1
-1818  2 25    -0.1    -0.1    -0.1 1
-1818  2 26    -1.1    -1.1    -1.1 1
-1818  2 27    -9.4    -9.4    -9.4 1
-1818  2 28   -11.9   -11.9   -11.9 1
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-1818  3  2    -5.4    -5.4    -5.4 1
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-1818  3  4    -1.6    -1.6    -1.6 1
-1818  3  5     1.5     1.5     1.5 1
-1818  3  6     2.8     2.8     2.8 1
-1818  3  7     2.4     2.4     2.4 1
-1818  3  8     1.6     1.6     1.6 1
-1818  3  9     1.8     1.8     1.8 1
-1818  3 10     2.5     2.5     2.5 1
-1818  3 11     1.3     1.3     1.3 1
-1818  3 12     0.1     0.1     0.1 1
-1818  3 13    -2.5    -2.5    -2.5 1
-1818  3 14    -2.9    -2.9    -2.9 1
-1818  3 15    -1.5    -1.5    -1.5 1
-1818  3 16     2.0     2.0     2.0 1
-1818  3 17     2.0     2.0     2.0 1
-1818  3 18     1.6     1.6     1.6 1
-1818  3 19     1.8     1.8     1.8 1
-1818  3 20     2.2     2.2     2.2 1
-1818  3 21     1.9     1.9     1.9 1
-1818  3 22     2.9     2.9     2.9 1
-1818  3 23     1.0     1.0     1.0 1
-1818  3 24     2.5     2.5     2.5 1
-1818  3 25     1.2     1.2     1.2 1
-1818  3 26     2.3     2.3     2.3 1
-1818  3 27     0.8     0.8     0.8 1
-1818  3 28    -1.3    -1.3    -1.3 1
-1818  3 29    -1.6    -1.6    -1.6 1
-1818  3 30     0.5     0.5     0.5 1
-1818  3 31     2.4     2.4     2.4 1
-1818  4  1     3.5     3.5     3.5 1
-1818  4  2     2.7     2.7     2.7 1
-1818  4  3     0.5     0.5     0.5 1
-1818  4  4     1.5     1.5     1.5 1
-1818  4  5    -1.3    -1.3    -1.3 1
-1818  4  6    -2.3    -2.3    -2.3 1
-1818  4  7    -2.1    -2.1    -2.1 1
-1818  4  8    -0.3    -0.3    -0.3 1
-1818  4  9    -0.8    -0.8    -0.8 1
-1818  4 10     3.5     3.5     3.5 1
-1818  4 11    -0.8    -0.8    -0.8 1
-1818  4 12    -1.1    -1.1    -1.1 1
-1818  4 13    -0.3    -0.3    -0.3 1
-1818  4 14     1.2     1.2     1.2 1
-1818  4 15     0.5     0.5     0.5 1
-1818  4 16    -3.3    -3.3    -3.3 1
-1818  4 17    -4.3    -4.3    -4.3 1
-1818  4 18    -2.0    -2.0    -2.0 1
-1818  4 19    -0.3    -0.3    -0.3 1
-1818  4 20     0.5     0.5     0.5 1
-1818  4 21     2.2     2.2     2.2 1
-1818  4 22     2.3     2.3     2.3 1
-1818  4 23     3.0     3.0     3.0 1
-1818  4 24     1.8     1.8     1.8 1
-1818  4 25     1.0     1.0     1.0 1
-1818  4 26     1.5     1.5     1.5 1
-1818  4 27     3.0     3.0     3.0 1
-1818  4 28     4.3     4.3     4.3 1
-1818  4 29     4.8     4.8     4.8 1
-1818  4 30     8.0     8.0     8.0 1
-1818  5  1     8.5     8.5     8.5 1
-1818  5  2     0.6     0.6     0.6 1
-1818  5  3     0.8     0.8     0.8 1
-1818  5  4     1.4     1.4     1.4 1
-1818  5  5     3.3     3.3     3.2 1
-1818  5  6     2.9     2.9     2.8 1
-1818  5  7     4.5     4.5     4.4 1
-1818  5  8     6.0     6.0     5.9 1
-1818  5  9     9.8     9.8     9.7 1
-1818  5 10    10.6    10.6    10.4 1
-1818  5 11    11.6    11.6    11.4 1
-1818  5 12     9.9     9.9     9.7 1
-1818  5 13    11.4    11.4    11.2 1
-1818  5 14    11.4    11.4    11.1 1
-1818  5 15    13.0    13.0    12.7 1
-1818  5 16    14.2    14.2    13.9 1
-1818  5 17    11.9    11.9    11.6 1
-1818  5 18    11.9    11.9    11.6 1
-1818  5 19    12.9    12.9    12.5 1
-1818  5 20     8.4     8.4     8.0 1
-1818  5 21     6.6     6.6     6.2 1
-1818  5 22     5.5     5.5     5.1 1
-1818  5 23     6.9     6.9     6.4 1
-1818  5 24     8.5     8.5     8.0 1
-1818  5 25    11.8    11.8    11.3 1
-1818  5 26    13.0    13.0    12.5 1
-1818  5 27     8.5     8.5     8.0 1
-1818  5 28     6.4     6.4     5.8 1
-1818  5 29     4.5     4.5     3.9 1
-1818  5 30     8.2     8.2     7.6 1
-1818  5 31     8.2     8.2     7.6 1
-1818  6  1    11.8    11.8    11.1 1
-1818  6  2    15.1    15.1    14.4 1
-1818  6  3    12.4    12.4    11.7 1
-1818  6  4    15.3    15.3    14.6 1
-1818  6  5    15.4    15.4    14.7 1
-1818  6  6    14.5    14.5    13.8 1
-1818  6  7    12.1    12.1    11.4 1
-1818  6  8    11.5    11.5    10.8 1
-1818  6  9    16.2    16.2    15.5 1
-1818  6 10    20.6    20.6    19.9 1
-1818  6 11    19.1    19.1    18.4 1
-1818  6 12    17.8    17.8    17.1 1
-1818  6 13    10.7    10.7    10.0 1
-1818  6 14     7.1     7.1     6.4 1
-1818  6 15     8.4     8.4     7.7 1
-1818  6 16    13.8    13.8    13.1 1
-1818  6 17    15.7    15.7    15.0 1
-1818  6 18    17.7    17.7    17.0 1
-1818  6 19    17.8    17.8    17.1 1
-1818  6 20    17.6    17.6    16.9 1
-1818  6 21    18.3    18.3    17.6 1
-1818  6 22    17.2    17.2    16.5 1
-1818  6 23    15.8    15.8    15.1 1
-1818  6 24    15.4    15.4    14.7 1
-1818  6 25    14.0    14.0    13.3 1
-1818  6 26    13.8    13.8    13.1 1
-1818  6 27    16.1    16.1    15.4 1
-1818  6 28    16.8    16.8    16.1 1
-1818  6 29    19.3    19.3    18.6 1
-1818  6 30    19.2    19.2    18.5 1
-1818  7  1    17.0    17.0    16.3 1
-1818  7  2    14.8    14.8    14.1 1
-1818  7  3    14.5    14.5    13.8 1
-1818  7  4    14.5    14.5    13.8 1
-1818  7  5    14.3    14.3    13.6 1
-1818  7  6    15.5    15.5    14.8 1
-1818  7  7    17.5    17.5    16.8 1
-1818  7  8    19.1    19.1    18.4 1
-1818  7  9    23.5    23.5    22.8 1
-1818  7 10    21.8    21.8    21.1 1
-1818  7 11    21.0    21.0    20.3 1
-1818  7 12    19.3    19.3    18.6 1
-1818  7 13    19.9    19.9    19.2 1
-1818  7 14    18.8    18.8    18.1 1
-1818  7 15    19.4    19.4    18.7 1
-1818  7 16    22.2    22.2    21.5 1
-1818  7 17    23.5    23.5    22.8 1
-1818  7 18    24.5    24.5    23.8 1
-1818  7 19    24.4    24.4    23.7 1
-1818  7 20    23.5    23.5    22.8 1
-1818  7 21    23.4    23.4    22.7 1
-1818  7 22    23.9    23.9    23.2 1
-1818  7 23    23.0    23.0    22.3 1
-1818  7 24    22.6    22.6    21.9 1
-1818  7 25    23.9    23.9    23.2 1
-1818  7 26    23.6    23.6    22.9 1
-1818  7 27    25.1    25.1    24.4 1
-1818  7 28    25.8    25.8    25.1 1
-1818  7 29    23.9    23.9    23.2 1
-1818  7 30    21.6    21.6    20.9 1
-1818  7 31    19.0    19.0    18.3 1
-1818  8  1    15.0    15.0    14.4 1
-1818  8  2    15.6    15.6    15.0 1
-1818  8  3    13.3    13.3    12.7 1
-1818  8  4    16.3    16.3    15.7 1
-1818  8  5    18.3    18.3    17.8 1
-1818  8  6    22.3    22.3    21.8 1
-1818  8  7    21.7    21.7    21.2 1
-1818  8  8    13.7    13.7    13.2 1
-1818  8  9    12.5    12.5    12.0 1
-1818  8 10    13.0    13.0    12.6 1
-1818  8 11    12.7    12.7    12.3 1
-1818  8 12    13.5    13.5    13.1 1
-1818  8 13    15.4    15.4    15.0 1
-1818  8 14    17.0    17.0    16.7 1
-1818  8 15    14.7    14.7    14.4 1
-1818  8 16    15.4    15.4    15.1 1
-1818  8 17    16.6    16.6    16.3 1
-1818  8 18    15.0    15.0    14.7 1
-1818  8 19    14.6    14.6    14.4 1
-1818  8 20    11.4    11.4    11.2 1
-1818  8 21    12.0    12.0    11.8 1
-1818  8 22    12.7    12.7    12.5 1
-1818  8 23    11.6    11.6    11.5 1
-1818  8 24    11.9    11.9    11.8 1
-1818  8 25    13.6    13.6    13.5 1
-1818  8 26    13.7    13.7    13.6 1
-1818  8 27    13.7    13.7    13.6 1
-1818  8 28    12.7    12.7    12.7 1
-1818  8 29    11.4    11.4    11.4 1
-1818  8 30    12.2    12.2    12.2 1
-1818  8 31    13.6    13.6    13.6 1
-1818  9  1    13.2    13.2    13.2 1
-1818  9  2    12.6    12.6    12.6 1
-1818  9  3    13.7    13.7    13.7 1
-1818  9  4    13.2    13.2    13.2 1
-1818  9  5    14.6    14.6    14.6 1
-1818  9  6    15.7    15.7    15.7 1
-1818  9  7    15.7    15.7    15.7 1
-1818  9  8    14.1    14.1    14.1 1
-1818  9  9    14.9    14.9    14.9 1
-1818  9 10    13.6    13.6    13.6 1
-1818  9 11    13.7    13.7    13.7 1
-1818  9 12    13.9    13.9    13.9 1
-1818  9 13    10.6    10.6    10.6 1
-1818  9 14     8.4     8.4     8.4 1
-1818  9 15    12.7    12.7    12.7 1
-1818  9 16    11.4    11.4    11.4 1
-1818  9 17    10.4    10.4    10.4 1
-1818  9 18    11.0    11.0    11.0 1
-1818  9 19    11.4    11.4    11.4 1
-1818  9 20    12.7    12.7    12.7 1
-1818  9 21    11.4    11.4    11.4 1
-1818  9 22    12.3    12.3    12.3 1
-1818  9 23    11.4    11.4    11.4 1
-1818  9 24    11.5    11.5    11.5 1
-1818  9 25     9.4     9.4     9.4 1
-1818  9 26     9.4     9.4     9.4 1
-1818  9 27     9.3     9.3     9.3 1
-1818  9 28     9.5     9.5     9.5 1
-1818  9 29     9.7     9.7     9.7 1
-1818  9 30    10.2    10.2    10.2 1
-1818 10  1    10.2    10.2    10.2 1
-1818 10  2     8.0     8.0     8.0 1
-1818 10  3     7.7     7.7     7.7 1
-1818 10  4    10.6    10.6    10.6 1
-1818 10  5    12.1    12.1    12.1 1
-1818 10  6    11.3    11.3    11.3 1
-1818 10  7    10.5    10.5    10.5 1
-1818 10  8    10.5    10.5    10.5 1
-1818 10  9     7.9     7.9     7.9 1
-1818 10 10     9.6     9.6     9.6 1
-1818 10 11     9.6     9.6     9.6 1
-1818 10 12    11.1    11.1    11.1 1
-1818 10 13    10.5    10.5    10.5 1
-1818 10 14     9.6     9.6     9.6 1
-1818 10 15     9.1     9.1     9.1 1
-1818 10 16     9.6     9.6     9.6 1
-1818 10 17     9.8     9.8     9.8 1
-1818 10 18     9.2     9.2     9.2 1
-1818 10 19     8.9     8.9     8.9 1
-1818 10 20     8.8     8.8     8.8 1
-1818 10 21     6.9     6.9     6.9 1
-1818 10 22     4.3     4.3     4.3 1
-1818 10 23     4.6     4.6     4.6 1
-1818 10 24     3.6     3.6     3.6 1
-1818 10 25     4.9     4.9     4.9 1
-1818 10 26     5.0     5.0     5.0 1
-1818 10 27     5.0     5.0     5.0 1
-1818 10 28     6.0     6.0     6.0 1
-1818 10 29     6.9     6.9     6.9 1
-1818 10 30     3.2     3.2     3.2 1
-1818 10 31     5.6     5.6     5.6 1
-1818 11  1     4.4     4.4     4.4 1
-1818 11  2     3.7     3.7     3.7 1
-1818 11  3     8.4     8.4     8.4 1
-1818 11  4     9.1     9.1     9.1 1
-1818 11  5     7.9     7.9     7.9 1
-1818 11  6     8.5     8.5     8.5 1
-1818 11  7     7.4     7.4     7.4 1
-1818 11  8     5.0     5.0     5.0 1
-1818 11  9    -1.3    -1.3    -1.3 1
-1818 11 10    -1.6    -1.6    -1.6 1
-1818 11 11    -0.1    -0.1    -0.1 1
-1818 11 12    -1.0    -1.0    -1.0 1
-1818 11 13     0.1     0.1     0.1 1
-1818 11 14     0.5     0.5     0.5 1
-1818 11 15     4.2     4.2     4.2 1
-1818 11 16     6.2     6.2     6.2 1
-1818 11 17     6.1     6.1     6.1 1
-1818 11 18     5.2     5.2     5.2 1
-1818 11 19     4.2     4.2     4.2 1
-1818 11 20     2.9     2.9     2.9 1
-1818 11 21     2.9     2.9     2.9 1
-1818 11 22     3.4     3.4     3.4 1
-1818 11 23     2.9     2.9     2.9 1
-1818 11 24     0.7     0.7     0.7 1
-1818 11 25     2.1     2.1     2.1 1
-1818 11 26     0.9     0.9     0.9 1
-1818 11 27    -0.1    -0.1    -0.1 1
-1818 11 28     1.9     1.9     1.9 1
-1818 11 29     3.6     3.6     3.6 1
-1818 11 30     8.8     8.8     8.8 1
-1818 12  1     9.1     9.1     9.1 1
-1818 12  2     5.9     5.9     5.9 1
-1818 12  3     3.2     3.2     3.2 1
-1818 12  4     4.4     4.4     4.4 1
-1818 12  5     3.9     3.9     3.9 1
-1818 12  6     4.1     4.1     4.1 1
-1818 12  7     2.8     2.8     2.8 1
-1818 12  8     2.9     2.9     2.9 1
-1818 12  9     3.1     3.1     3.1 1
-1818 12 10     0.8     0.8     0.8 1
-1818 12 11    -2.6    -2.6    -2.6 1
-1818 12 12    -0.1    -0.1    -0.1 1
-1818 12 13    -3.1    -3.1    -3.1 1
-1818 12 14    -1.4    -1.4    -1.4 1
-1818 12 15     1.1     1.1     1.1 1
-1818 12 16    -0.1    -0.1    -0.1 1
-1818 12 17     3.6     3.6     3.6 1
-1818 12 18     5.3     5.3     5.3 1
-1818 12 19     2.2     2.2     2.2 1
-1818 12 20     4.9     4.9     4.9 1
-1818 12 21     4.2     4.2     4.2 1
-1818 12 22     0.7     0.7     0.7 1
-1818 12 23     0.6     0.6     0.6 1
-1818 12 24     1.9     1.9     1.9 1
-1818 12 25    -0.2    -0.2    -0.2 1
-1818 12 26     2.4     2.4     2.4 1
-1818 12 27     1.6     1.6     1.6 1
-1818 12 28    -3.3    -3.3    -3.3 1
-1818 12 29     0.6     0.6     0.6 1
-1818 12 30     1.4     1.4     1.4 1
-1818 12 31     1.4     1.4     1.4 1
-1819  1  1     0.4     0.4     0.4 1
-1819  1  2     0.9     0.9     0.9 1
-1819  1  3     1.2     1.2     1.2 1
-1819  1  4     3.2     3.2     3.2 1
-1819  1  5     1.7     1.7     1.7 1
-1819  1  6     1.5     1.5     1.5 1
-1819  1  7    -1.8    -1.8    -1.8 1
-1819  1  8     1.1     1.1     1.1 1
-1819  1  9     1.4     1.4     1.4 1
-1819  1 10     2.6     2.6     2.6 1
-1819  1 11     3.6     3.6     3.6 1
-1819  1 12     3.5     3.5     3.5 1
-1819  1 13     2.2     2.2     2.2 1
-1819  1 14     2.4     2.4     2.4 1
-1819  1 15     3.2     3.2     3.2 1
-1819  1 16    -0.6    -0.6    -0.6 1
-1819  1 17    -1.8    -1.8    -1.8 1
-1819  1 18     1.9     1.9     1.9 1
-1819  1 19     3.2     3.2     3.2 1
-1819  1 20     0.9     0.9     0.9 1
-1819  1 21     0.4     0.4     0.4 1
-1819  1 22     1.4     1.4     1.4 1
-1819  1 23     0.2     0.2     0.2 1
-1819  1 24     1.2     1.2     1.2 1
-1819  1 25     1.9     1.9     1.9 1
-1819  1 26     2.4     2.4     2.4 1
-1819  1 27     3.2     3.2     3.2 1
-1819  1 28    -1.3    -1.3    -1.3 1
-1819  1 29    -2.8    -2.8    -2.8 1
-1819  1 30    -1.5    -1.5    -1.5 1
-1819  1 31     1.0     1.0     1.0 1
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-1819  2  2    -1.8    -1.8    -1.8 1
-1819  2  3    -3.0    -3.0    -3.0 1
-1819  2  4    -2.3    -2.3    -2.3 1
-1819  2  5    -2.8    -2.8    -2.8 1
-1819  2  6    -3.5    -3.5    -3.5 1
-1819  2  7     0.5     0.5     0.5 1
-1819  2  8    -0.8    -0.8    -0.8 1
-1819  2  9    -2.8    -2.8    -2.8 1
-1819  2 10     0.4     0.4     0.4 1
-1819  2 11     1.5     1.5     1.5 1
-1819  2 12     2.2     2.2     2.2 1
-1819  2 13     1.2     1.2     1.2 1
-1819  2 14    -1.0    -1.0    -1.0 1
-1819  2 15    -5.7    -5.7    -5.7 1
-1819  2 16    -3.3    -3.3    -3.3 1
-1819  2 17    -1.6    -1.6    -1.6 1
-1819  2 18    -0.8    -0.8    -0.8 1
-1819  2 19     0.4     0.4     0.4 1
-1819  2 20     1.4     1.4     1.4 1
-1819  2 21    -0.6    -0.6    -0.6 1
-1819  2 22    -0.9    -0.9    -0.9 1
-1819  2 23    -2.6    -2.6    -2.6 1
-1819  2 24    -1.1    -1.1    -1.1 1
-1819  2 25     0.2     0.2     0.2 1
-1819  2 26    -2.4    -2.4    -2.4 1
-1819  2 27    -2.4    -2.4    -2.4 1
-1819  2 28    -2.0    -2.0    -2.0 1
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-1819  3  2    -0.4    -0.4    -0.4 1
-1819  3  3    -1.8    -1.8    -1.8 1
-1819  3  4    -1.7    -1.7    -1.7 1
-1819  3  5    -0.9    -0.9    -0.9 1
-1819  3  6    -0.7    -0.7    -0.7 1
-1819  3  7     0.9     0.9     0.9 1
-1819  3  8     1.9     1.9     1.9 1
-1819  3  9     0.3     0.3     0.3 1
-1819  3 10    -3.4    -3.4    -3.4 1
-1819  3 11    -2.7    -2.7    -2.7 1
-1819  3 12    -3.9    -3.9    -3.9 1
-1819  3 13    -5.4    -5.4    -5.4 1
-1819  3 14    -1.7    -1.7    -1.7 1
-1819  3 15     3.3     3.3     3.3 1
-1819  3 16     3.1     3.1     3.1 1
-1819  3 17     1.6     1.6     1.6 1
-1819  3 18     0.5     0.5     0.5 1
-1819  3 19     0.0     0.0     0.0 1
-1819  3 20     1.3     1.3     1.3 1
-1819  3 21     0.0     0.0     0.0 1
-1819  3 22    -2.8    -2.8    -2.8 1
-1819  3 23    -0.2    -0.2    -0.2 1
-1819  3 24     1.3     1.3     1.3 1
-1819  3 25     1.0     1.0     1.0 1
-1819  3 26     0.8     0.8     0.8 1
-1819  3 27     0.1     0.1     0.1 1
-1819  3 28     0.8     0.8     0.8 1
-1819  3 29     2.7     2.7     2.7 1
-1819  3 30     4.0     4.0     4.0 1
-1819  3 31     4.0     4.0     4.0 1
-1819  4  1     4.0     4.0     4.0 1
-1819  4  2     1.0     1.0     1.0 1
-1819  4  3     0.9     0.9     0.9 1
-1819  4  4     1.4     1.4     1.4 1
-1819  4  5     0.7     0.7     0.7 1
-1819  4  6     0.2     0.2     0.2 1
-1819  4  7    -0.6    -0.6    -0.6 1
-1819  4  8     0.2     0.2     0.2 1
-1819  4  9     2.7     2.7     2.7 1
-1819  4 10     5.2     5.2     5.2 1
-1819  4 11     6.0     6.0     6.0 1
-1819  4 12     5.0     5.0     5.0 1
-1819  4 13     1.4     1.4     1.4 1
-1819  4 14     1.7     1.7     1.7 1
-1819  4 15     6.7     6.7     6.7 1
-1819  4 16     7.5     7.5     7.5 1
-1819  4 17     3.5     3.5     3.5 1
-1819  4 18     8.2     8.2     8.2 1
-1819  4 19     7.0     7.0     7.0 1
-1819  4 20     6.0     6.0     6.0 1
-1819  4 21     4.5     4.5     4.5 1
-1819  4 22     3.4     3.4     3.4 1
-1819  4 23     1.0     1.0     1.0 1
-1819  4 24     2.2     2.2     2.2 1
-1819  4 25     1.3     1.3     1.3 1
-1819  4 26     4.2     4.2     4.2 1
-1819  4 27     6.5     6.5     6.5 1
-1819  4 28     6.0     6.0     6.0 1
-1819  4 29     6.5     6.5     6.5 1
-1819  4 30     7.5     7.5     7.5 1
-1819  5  1     8.3     8.3     8.3 1
-1819  5  2     9.1     9.1     9.1 1
-1819  5  3    10.5    10.5    10.5 1
-1819  5  4    10.8    10.8    10.8 1
-1819  5  5     9.1     9.1     9.0 1
-1819  5  6    10.3    10.3    10.2 1
-1819  5  7    11.6    11.6    11.5 1
-1819  5  8    10.9    10.9    10.8 1
-1819  5  9     9.9     9.9     9.8 1
-1819  5 10     7.9     7.9     7.7 1
-1819  5 11    11.9    11.9    11.7 1
-1819  5 12     9.4     9.4     9.2 1
-1819  5 13     9.3     9.3     9.1 1
-1819  5 14     6.2     6.2     5.9 1
-1819  5 15     6.2     6.2     5.9 1
-1819  5 16     7.3     7.3     7.0 1
-1819  5 17     9.1     9.1     8.8 1
-1819  5 18     8.9     8.9     8.6 1
-1819  5 19    11.2    11.2    10.8 1
-1819  5 20    13.4    13.4    13.0 1
-1819  5 21    15.4    15.4    15.0 1
-1819  5 22    16.3    16.3    15.9 1
-1819  5 23    13.7    13.7    13.2 1
-1819  5 24     9.5     9.5     9.0 1
-1819  5 25    13.7    13.7    13.2 1
-1819  5 26     4.3     4.3     3.8 1
-1819  5 27     9.3     9.3     8.8 1
-1819  5 28     9.8     9.8     9.2 1
-1819  5 29     8.3     8.3     7.7 1
-1819  5 30     9.8     9.8     9.2 1
-1819  5 31    11.8    11.8    11.2 1
-1819  6  1     8.6     8.6     7.9 1
-1819  6  2     9.5     9.5     8.8 1
-1819  6  3    13.1    13.1    12.4 1
-1819  6  4    16.8    16.8    16.1 1
-1819  6  5    19.1    19.1    18.4 1
-1819  6  6    18.0    18.0    17.3 1
-1819  6  7    18.8    18.8    18.1 1
-1819  6  8    18.8    18.8    18.1 1
-1819  6  9    18.7    18.7    18.0 1
-1819  6 10    19.9    19.9    19.2 1
-1819  6 11    20.1    20.1    19.4 1
-1819  6 12    20.2    20.2    19.5 1
-1819  6 13    19.1    19.1    18.4 1
-1819  6 14    20.7    20.7    20.0 1
-1819  6 15    20.4    20.4    19.7 1
-1819  6 16    20.6    20.6    19.9 1
-1819  6 17    23.7    23.7    23.0 1
-1819  6 18    17.6    17.6    16.9 1
-1819  6 19    12.6    12.6    11.9 1
-1819  6 20    14.1    14.1    13.4 1
-1819  6 21    13.5    13.5    12.8 1
-1819  6 22    12.3    12.3    11.6 1
-1819  6 23    12.5    12.5    11.8 1
-1819  6 24    15.4    15.4    14.7 1
-1819  6 25    16.6    16.6    15.9 1
-1819  6 26    17.0    17.0    16.3 1
-1819  6 27    19.1    19.1    18.4 1
-1819  6 28    17.5    17.5    16.8 1
-1819  6 29    18.3    18.3    17.6 1
-1819  6 30    18.5    18.5    17.8 1
-1819  7  1    18.3    18.3    17.6 1
-1819  7  2    16.6    16.6    15.9 1
-1819  7  3    18.2    18.2    17.5 1
-1819  7  4    19.4    19.4    18.7 1
-1819  7  5    22.1    22.1    21.4 1
-1819  7  6    24.3    24.3    23.6 1
-1819  7  7    22.7    22.7    22.0 1
-1819  7  8    19.0    19.0    18.3 1
-1819  7  9    19.6    19.6    18.9 1
-1819  7 10    18.8    18.8    18.1 1
-1819  7 11    17.4    17.4    16.7 1
-1819  7 12    17.5    17.5    16.8 1
-1819  7 13    17.4    17.4    16.7 1
-1819  7 14    18.7    18.7    18.0 1
-1819  7 15    18.2    18.2    17.5 1
-1819  7 16    16.5    16.5    15.8 1
-1819  7 17    16.7    16.7    16.0 1
-1819  7 18    18.5    18.5    17.8 1
-1819  7 19    19.7    19.7    19.0 1
-1819  7 20    22.4    22.4    21.7 1
-1819  7 21    21.9    21.9    21.2 1
-1819  7 22    21.1    21.1    20.4 1
-1819  7 23    21.4    21.4    20.7 1
-1819  7 24    23.2    23.2    22.5 1
-1819  7 25    22.6    22.6    21.9 1
-1819  7 26    20.8    20.8    20.1 1
-1819  7 27    21.6    21.6    20.9 1
-1819  7 28    23.3    23.3    22.6 1
-1819  7 29    24.6    24.6    23.9 1
-1819  7 30    23.8    23.8    23.1 1
-1819  7 31    23.0    23.0    22.3 1
-1819  8  1    24.6    23.9    23.3 1
-1819  8  2    24.0    23.3    22.7 1
-1819  8  3    22.8    22.1    21.5 1
-1819  8  4    23.0    22.3    21.7 1
-1819  8  5    22.0    21.3    20.8 1
-1819  8  6    23.1    22.4    21.9 1
-1819  8  7    23.3    22.6    22.1 1
-1819  8  8    21.2    20.5    20.0 1
-1819  8  9    23.3    22.6    22.1 1
-1819  8 10    21.2    20.5    20.1 1
-1819  8 11    23.4    22.7    22.3 1
-1819  8 12    22.0    21.3    20.9 1
-1819  8 13    22.7    22.0    21.6 1
-1819  8 14    22.9    22.2    21.9 1
-1819  8 15    20.7    20.0    19.7 1
-1819  8 16    19.6    18.9    18.6 1
-1819  8 17    17.2    16.5    16.2 1
-1819  8 18    15.4    14.7    14.4 1
-1819  8 19    16.7    16.0    15.8 1
-1819  8 20    18.9    18.2    18.0 1
-1819  8 21    18.2    17.5    17.3 1
-1819  8 22    17.1    16.4    16.2 1
-1819  8 23    17.9    17.2    17.1 1
-1819  8 24    18.7    18.0    17.9 1
-1819  8 25    18.9    18.2    18.1 1
-1819  8 26    16.9    16.2    16.1 1
-1819  8 27    17.7    17.0    16.9 1
-1819  8 28    19.1    18.4    18.4 1
-1819  8 29    19.6    18.9    18.9 1
-1819  8 30    19.6    18.9    18.9 1
-1819  8 31    20.8    20.1    20.1 1
-1819  9  1    20.3    19.6    19.6 1
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-1819  9  3    16.4    15.7    15.7 1
-1819  9  4    15.4    14.7    14.7 1
-1819  9  5    17.2    16.5    16.5 1
-1819  9  6    18.1    17.4    17.4 1
-1819  9  7    16.9    16.2    16.2 1
-1819  9  8    15.9    15.2    15.2 1
-1819  9  9    18.2    17.5    17.5 1
-1819  9 10    19.1    18.4    18.4 1
-1819  9 11    18.1    17.4    17.4 1
-1819  9 12    15.1    14.4    14.4 1
-1819  9 13    12.9    12.2    12.2 1
-1819  9 14    18.0    17.3    17.3 1
-1819  9 15    15.2    14.5    14.5 1
-1819  9 16    16.9    16.2    16.2 1
-1819  9 17    12.4    11.7    11.7 1
-1819  9 18    12.4    11.7    11.7 1
-1819  9 19     8.2     7.5     7.5 1
-1819  9 20     7.2     6.5     6.5 1
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-1819  9 22    13.4    12.7    12.7 1
-1819  9 23    11.7    11.0    11.0 1
-1819  9 24    12.0    11.3    11.3 1
-1819  9 25    12.5    11.8    11.8 1
-1819  9 26    12.4    11.7    11.7 1
-1819  9 27    11.8    11.1    11.1 1
-1819  9 28    13.5    12.8    12.8 1
-1819  9 29    16.5    15.8    15.8 1
-1819  9 30    14.7    14.0    14.0 1
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-1819 10  4    13.8    13.1    13.1 1
-1819 10  5    12.5    11.8    11.8 1
-1819 10  6     7.3     6.6     6.6 1
-1819 10  7     5.6     4.9     4.9 1
-1819 10  8     5.1     4.4     4.4 1
-1819 10  9     6.3     5.6     5.6 1
-1819 10 10     6.3     5.6     5.6 1
-1819 10 11     6.3     5.6     5.6 1
-1819 10 12    10.1     9.4     9.4 1
-1819 10 13    10.4     9.7     9.7 1
-1819 10 14     8.6     7.9     7.9 1
-1819 10 15     6.9     6.2     6.2 1
-1819 10 16     7.1     6.4     6.4 1
-1819 10 17     7.3     6.6     6.6 1
-1819 10 18     6.1     5.4     5.4 1
-1819 10 19     5.7     5.0     5.0 1
-1819 10 20     7.6     6.9     6.9 1
-1819 10 21     8.4     7.7     7.7 1
-1819 10 22    10.1     9.4     9.4 1
-1819 10 23     7.7     7.0     7.0 1
-1819 10 24     2.6     1.9     1.9 1
-1819 10 25    -3.3    -4.0    -4.0 1
-1819 10 26    -2.6    -3.3    -3.3 1
-1819 10 27    -2.3    -3.0    -3.0 1
-1819 10 28    -2.5    -3.2    -3.2 1
-1819 10 29    -4.6    -5.3    -5.3 1
-1819 10 30    -2.0    -2.7    -2.7 1
-1819 10 31    -1.8    -2.5    -2.5 1
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-1819 11  4    -2.9    -3.6    -3.6 1
-1819 11  5    -2.4    -3.1    -3.1 1
-1819 11  6     0.4    -0.3    -0.3 1
-1819 11  7     4.7     4.0     4.0 1
-1819 11  8     2.6     1.9     1.9 1
-1819 11  9    -4.5    -5.2    -5.2 1
-1819 11 10     1.7     1.0     1.0 1
-1819 11 11    -2.6    -3.3    -3.3 1
-1819 11 12    -1.3    -2.0    -2.0 1
-1819 11 13     1.6     0.9     0.9 1
-1819 11 14     3.1     2.4     2.4 1
-1819 11 15    -4.4    -5.1    -5.1 1
-1819 11 16    -6.1    -6.8    -6.8 1
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-1819 11 19    -3.0    -3.7    -3.7 1
-1819 11 20    -1.0    -1.7    -1.7 1
-1819 11 21     1.1     0.4     0.4 1
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-1819 11 23     1.6     0.9     0.9 1
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-1819 11 25    -0.6    -1.3    -1.3 1
-1819 11 26    -0.4    -1.1    -1.1 1
-1819 11 27     0.6    -0.1    -0.1 1
-1819 11 28     0.7     0.0     0.0 1
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-1819 12  9    -1.1    -1.8    -1.8 1
-1819 12 10    -1.6    -2.3    -2.3 1
-1819 12 11     0.6    -0.1    -0.1 1
-1819 12 12     1.0     0.3     0.3 1
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-1819 12 14    -1.7    -2.4    -2.4 1
-1819 12 15    -3.6    -4.3    -4.3 1
-1819 12 16    -6.9    -7.6    -7.6 1
-1819 12 17   -14.3   -15.0   -15.0 1
-1819 12 18    -6.6    -7.3    -7.3 1
-1819 12 19    -9.6   -10.3   -10.3 1
-1819 12 20    -4.2    -4.9    -4.9 1
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-1819 12 22    -2.9    -3.6    -3.6 1
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-1819 12 24    -1.6    -2.3    -2.3 1
-1819 12 25    -5.8    -6.5    -6.5 1
-1819 12 26    -3.7    -4.4    -4.4 1
-1819 12 27   -10.7   -11.4   -11.4 1
-1819 12 28   -13.4   -14.1   -14.1 1
-1819 12 29   -15.7   -16.4   -16.4 1
-1819 12 30   -12.8   -13.5   -13.5 1
-1819 12 31   -13.1   -13.8   -13.8 1
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-1820  1  3    -5.4    -6.1    -6.1 1
-1820  1  4   -10.4   -11.1   -11.1 1
-1820  1  5   -16.9   -17.6   -17.6 1
-1820  1  6   -15.8   -16.5   -16.5 1
-1820  1  7   -13.8   -14.5   -14.5 1
-1820  1  8   -11.0   -11.7   -11.7 1
-1820  1  9   -12.5   -13.2   -13.2 1
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-1820  1 11    -4.8    -5.5    -5.5 1
-1820  1 12   -15.1   -15.8   -15.8 1
-1820  1 13   -12.8   -13.5   -13.5 1
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-1820  1 15    -5.8    -6.5    -6.5 1
-1820  1 16   -10.8   -11.5   -11.5 1
-1820  1 17   -19.3   -20.0   -20.0 1
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-1820  2  4     0.9     0.2     0.2 1
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-1820  2  7    -2.7    -3.4    -3.4 1
-1820  2  8     2.2     1.5     1.5 1
-1820  2  9     2.3     1.6     1.6 1
-1820  2 10     1.9     1.2     1.2 1
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-1820  2 25    -7.6    -8.3    -8.3 1
-1820  2 26   -11.1   -11.8   -11.8 1
-1820  2 27    -2.1    -2.8    -2.8 1
-1820  2 28     1.2     0.5     0.5 1
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-1820  3  3    -3.9    -4.6    -4.6 1
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-1820  3  5   -10.2   -10.9   -10.9 1
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-1820  3  7    -5.4    -6.1    -6.1 1
-1820  3  8    -2.4    -3.1    -3.1 1
-1820  3  9     2.6     1.9     1.9 1
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-1820  3 19    -0.9    -1.6    -1.6 1
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-1820  3 27    -2.3    -3.0    -3.0 1
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-1820  3 29     2.0     1.3     1.3 1
-1820  3 30     4.2     3.5     3.5 1
-1820  3 31     4.2     3.5     3.5 1
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-1820  4  2     2.4     1.7     1.7 1
-1820  4  3     1.2     0.5     0.5 1
-1820  4  4     1.4     0.7     0.7 1
-1820  4  5     1.2     0.5     0.5 1
-1820  4  6     1.5     0.8     0.8 1
-1820  4  7     1.2     0.5     0.5 1
-1820  4  8     1.0     0.3     0.3 1
-1820  4  9     2.4     1.7     1.7 1
-1820  4 10     3.9     3.2     3.2 1
-1820  4 11     4.9     4.2     4.2 1
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-1820  4 13     8.4     7.7     7.7 1
-1820  4 14     6.2     5.5     5.5 1
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-1820  4 17     6.9     6.2     6.2 1
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-1820  4 19     8.4     7.7     7.7 1
-1820  4 20     6.4     5.7     5.7 1
-1820  4 21     5.9     5.2     5.2 1
-1820  4 22     6.5     5.8     5.8 1
-1820  4 23     8.3     7.6     7.6 1
-1820  4 24     5.5     4.8     4.8 1
-1820  4 25     7.3     6.6     6.6 1
-1820  4 26     9.3     8.6     8.6 1
-1820  4 27     5.3     4.6     4.6 1
-1820  4 28     4.8     4.1     4.1 1
-1820  4 29     1.8     1.1     1.1 1
-1820  4 30     5.5     4.8     4.8 1
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-1820  5  2     4.0     3.3     3.3 1
-1820  5  3     3.1     2.4     2.4 1
-1820  5  4     2.2     1.5     1.5 1
-1820  5  5     4.8     4.1     4.0 1
-1820  5  6     4.8     4.1     4.0 1
-1820  5  7     4.8     4.1     4.0 1
-1820  5  8     5.9     5.2     5.1 1
-1820  5  9     8.3     7.6     7.5 1
-1820  5 10     9.4     8.7     8.5 1
-1820  5 11    13.8    13.1    12.9 1
-1820  5 12    12.6    11.9    11.7 1
-1820  5 13    12.2    11.5    11.3 1
-1820  5 14    11.1    10.4    10.1 1
-1820  5 15     9.6     8.9     8.6 1
-1820  5 16    13.4    12.7    12.4 1
-1820  5 17    13.9    13.2    12.9 1
-1820  5 18    12.7    12.0    11.7 1
-1820  5 19    11.2    10.5    10.1 1
-1820  5 20    12.4    11.7    11.3 1
-1820  5 21    12.2    11.5    11.1 1
-1820  5 22    13.9    13.2    12.8 1
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-1820  5 25    15.8    15.1    14.6 1
-1820  5 26    10.2     9.5     9.0 1
-1820  5 27    10.8    10.1     9.6 1
-1820  5 28     9.0     8.3     7.7 1
-1820  5 29    11.2    10.5     9.9 1
-1820  5 30    12.4    11.7    11.1 1
-1820  5 31    13.0    12.3    11.7 1
-1820  6  1    10.8    10.1     9.4 1
-1820  6  2    12.5    11.8    11.1 1
-1820  6  3    13.0    12.3    11.6 1
-1820  6  4    13.9    13.2    12.5 1
-1820  6  5    14.6    13.9    13.2 1
-1820  6  6    16.2    15.5    14.8 1
-1820  6  7    15.1    14.4    13.7 1
-1820  6  8    14.2    13.5    12.8 1
-1820  6  9    12.2    11.5    10.8 1
-1820  6 10    10.8    10.1     9.4 1
-1820  6 11    11.7    11.0    10.3 1
-1820  6 12    11.6    10.9    10.2 1
-1820  6 13    12.1    11.4    10.7 1
-1820  6 14    14.8    14.1    13.4 1
-1820  6 15    12.8    12.1    11.4 1
-1820  6 16    15.8    15.1    14.4 1
-1820  6 17    15.3    14.6    13.9 1
-1820  6 18    15.8    15.1    14.4 1
-1820  6 19    16.4    15.7    15.0 1
-1820  6 20    15.6    14.9    14.2 1
-1820  6 21    14.7    14.0    13.3 1
-1820  6 22    17.6    16.9    16.2 1
-1820  6 23    19.9    19.2    18.5 1
-1820  6 24    18.1    17.4    16.7 1
-1820  6 25    16.8    16.1    15.4 1
-1820  6 26    20.1    19.4    18.7 1
-1820  6 27    20.1    19.4    18.7 1
-1820  6 28    14.0    13.3    12.6 1
-1820  6 29    12.1    11.4    10.7 1
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-1820  7  2    12.2    11.5    10.8 1
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-1820  7  7    10.0     9.3     8.6 1
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-1820  7  9    15.0    14.3    13.6 1
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-1820  7 15    18.2    17.5    16.8 1
-1820  7 16    17.5    16.8    16.1 1
-1820  7 17    20.0    19.3    18.6 1
-1820  7 18    21.0    20.3    19.6 1
-1820  7 19    20.4    19.7    19.0 1
-1820  7 20    18.4    17.7    17.0 1
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-1820  7 22    18.6    17.9    17.2 1
-1820  7 23    18.8    18.1    17.4 1
-1820  7 24    17.7    17.0    16.3 1
-1820  7 25    19.9    19.2    18.5 1
-1820  7 26    19.3    18.6    17.9 1
-1820  7 27    19.3    18.6    17.9 1
-1820  7 28    17.3    16.6    15.9 1
-1820  7 29    17.4    16.7    16.0 1
-1820  7 30    17.8    17.1    16.4 1
-1820  7 31    18.5    17.8    17.1 1
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-1820  8  3    18.0    17.3    16.7 1
-1820  8  4    19.5    18.8    18.2 1
-1820  8  5    20.7    20.0    19.5 1
-1820  8  6    18.5    17.8    17.3 1
-1820  8  7    19.0    18.3    17.8 1
-1820  8  8    18.7    18.0    17.5 1
-1820  8  9    16.5    15.8    15.3 1
-1820  8 10    17.4    16.7    16.3 1
-1820  8 11    17.7    17.0    16.6 1
-1820  8 12    17.0    16.3    15.9 1
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-1820  8 24    14.1    13.4    13.3 1
-1820  8 25    13.4    12.7    12.6 1
-1820  8 26    15.0    14.3    14.2 1
-1820  8 27    14.2    13.5    13.4 1
-1820  8 28    13.9    13.2    13.2 1
-1820  8 29    14.1    13.4    13.4 1
-1820  8 30    12.6    11.9    11.9 1
-1820  8 31    13.1    12.4    12.4 1
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-1820  9  6    14.2    13.5    13.5 1
-1820  9  7    14.1    13.4    13.4 1
-1820  9  8    14.6    13.9    13.9 1
-1820  9  9    15.2    14.5    14.5 1
-1820  9 10    14.4    13.7    13.7 1
-1820  9 11    13.1    12.4    12.4 1
-1820  9 12    12.6    11.9    11.9 1
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-1820  9 20     9.2     8.5     8.5 1
-1820  9 21     9.9     9.2     9.2 1
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-1820  9 27     9.2     8.5     8.5 1
-1820  9 28     7.2     6.5     6.5 1
-1820  9 29     9.0     8.3     8.3 1
-1820  9 30     8.7     8.0     8.0 1
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-1820 10  4     7.5     6.8     6.8 1
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-1820 10  7     5.8     5.1     5.1 1
-1820 10  8     6.1     5.4     5.4 1
-1820 10  9     5.3     4.6     4.6 1
-1820 10 10     7.4     6.7     6.7 1
-1820 10 11     8.4     7.7     7.7 1
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-1820 10 14     4.1     3.4     3.4 1
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-1820 10 17     9.4     8.7     8.7 1
-1820 10 18     8.4     7.7     7.7 1
-1820 10 19     6.9     6.2     6.2 1
-1820 10 20     7.8     7.1     7.1 1
-1820 10 21     7.6     6.9     6.9 1
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-1820 10 23     5.7     5.0     5.0 1
-1820 10 24     5.7     5.0     5.0 1
-1820 10 25     4.9     4.2     4.2 1
-1820 10 26     7.6     6.9     6.9 1
-1820 10 27     7.6     6.9     6.9 1
-1820 10 28     9.6     8.9     8.9 1
-1820 10 29     8.9     8.2     8.2 1
-1820 10 30     7.2     6.5     6.5 1
-1820 10 31     7.7     7.0     7.0 1
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-1821  1  4   -16.4   -17.1   -17.1 1
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-1821  1  7    -5.8    -6.5    -6.5 1
-1821  1  8    -6.1    -6.8    -6.8 1
-1821  1  9    -5.5    -6.2    -6.2 1
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-1821  1 12    -9.6   -10.3   -10.3 1
-1821  1 13   -15.6   -16.3   -16.3 1
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-1821  1 17    -6.6    -7.3    -7.3 1
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-1821  1 30     0.6    -0.1    -0.1 1
-1821  1 31     2.7     2.0     2.0 1
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-1821  2  7     3.2     2.5     2.5 1
-1821  2  8     3.9     3.2     3.2 1
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-1821  2 24   -10.8   -11.5   -11.5 1
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-1821  2 26   -12.3   -13.0   -13.0 1
-1821  2 27   -11.4   -12.1   -12.1 1
-1821  2 28    -8.6    -9.3    -9.3 1
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-1821  3  3   -10.1   -10.8   -10.8 1
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-1821  3  7    -4.0    -4.7    -4.7 1
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-1821  3 24    -2.2    -2.9    -2.9 1
-1821  3 25     0.3    -0.4    -0.4 1
-1821  3 26    -1.0    -1.7    -1.7 1
-1821  3 27     0.1    -0.6    -0.6 1
-1821  3 28     1.4     0.7     0.7 1
-1821  3 29     2.2     1.5     1.5 1
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-1821  3 31     2.5     1.8     1.8 1
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-1821  4  2     2.4     1.7     1.7 1
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-1821  4  6     5.0     4.3     4.3 1
-1821  4  7     5.2     4.5     4.5 1
-1821  4  8     6.9     6.2     6.2 1
-1821  4  9     5.2     4.5     4.5 1
-1821  4 10     2.0     1.3     1.3 1
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-1821  4 12     1.0     0.3     0.3 1
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-1821  4 18     6.5     5.8     5.8 1
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-1821  4 21    10.5     9.8     9.8 1
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-1821  4 23     9.2     8.5     8.5 1
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-1821  4 25    13.0    12.3    12.3 1
-1821  4 26     6.7     6.0     6.0 1
-1821  4 27     6.2     5.5     5.5 1
-1821  4 28    10.0     9.3     9.3 1
-1821  4 29    11.8    11.1    11.1 1
-1821  4 30    12.3    11.6    11.6 1
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-1821  5  4    13.4    12.7    12.7 1
-1821  5  5    13.9    13.2    13.1 1
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-1821  5  7    15.4    14.7    14.6 1
-1821  5  8    14.4    13.7    13.6 1
-1821  5  9    13.4    12.7    12.6 1
-1821  5 10     9.9     9.2     9.0 1
-1821  5 11     7.8     7.1     6.9 1
-1821  5 12     6.3     5.6     5.4 1
-1821  5 13     7.2     6.5     6.3 1
-1821  5 14     8.2     7.5     7.2 1
-1821  5 15     9.6     8.9     8.6 1
-1821  5 16     8.6     7.9     7.6 1
-1821  5 17     9.4     8.7     8.4 1
-1821  5 18     9.9     9.2     8.9 1
-1821  5 19     4.1     3.4     3.0 1
-1821  5 20     5.9     5.2     4.8 1
-1821  5 21     5.9     5.2     4.8 1
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-1821  5 23     6.0     5.3     4.8 1
-1821  5 24     5.2     4.5     4.0 1
-1821  5 25     3.1     2.4     1.9 1
-1821  5 26     7.2     6.5     6.0 1
-1821  5 27    10.0     9.3     8.8 1
-1821  5 28     6.9     6.2     5.6 1
-1821  5 29     9.5     8.8     8.2 1
-1821  5 30    10.8    10.1     9.5 1
-1821  5 31    11.0    10.3     9.7 1
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-1821  6  2    10.5     9.8     9.1 1
-1821  6  3    13.6    12.9    12.2 1
-1821  6  4    11.0    10.3     9.6 1
-1821  6  5    11.3    10.6     9.9 1
-1821  6  6    14.2    13.5    12.8 1
-1821  6  7    12.7    12.0    11.3 1
-1821  6  8    12.5    11.8    11.1 1
-1821  6  9    12.0    11.3    10.6 1
-1821  6 10    10.0     9.3     8.6 1
-1821  6 11    11.0    10.3     9.6 1
-1821  6 12     7.9     7.2     6.5 1
-1821  6 13     8.3     7.6     6.9 1
-1821  6 14    10.5     9.8     9.1 1
-1821  6 15    11.4    10.7    10.0 1
-1821  6 16    11.9    11.2    10.5 1
-1821  6 17    16.9    16.2    15.5 1
-1821  6 18    14.8    14.1    13.4 1
-1821  6 19     8.3     7.6     6.9 1
-1821  6 20     8.9     8.2     7.5 1
-1821  6 21     7.8     7.1     6.4 1
-1821  6 22     7.1     6.4     5.7 1
-1821  6 23    11.1    10.4     9.7 1
-1821  6 24    14.9    14.2    13.5 1
-1821  6 25    17.9    17.2    16.5 1
-1821  6 26    11.2    10.5     9.8 1
-1821  6 27    11.5    10.8    10.1 1
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-1821  6 29    13.6    12.9    12.2 1
-1821  6 30    14.8    14.1    13.4 1
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-1821  7  2     9.9     9.2     8.5 1
-1821  7  3    12.5    11.8    11.1 1
-1821  7  4    13.5    12.8    12.1 1
-1821  7  5    13.1    12.4    11.7 1
-1821  7  6    13.5    12.8    12.1 1
-1821  7  7    13.8    13.1    12.4 1
-1821  7  8    15.7    15.0    14.3 1
-1821  7  9    15.7    15.0    14.3 1
-1821  7 10    18.1    17.4    16.7 1
-1821  7 11    11.2    10.5     9.8 1
-1821  7 12    12.9    12.2    11.5 1
-1821  7 13    11.0    10.3     9.6 1
-1821  7 14    13.8    13.1    12.4 1
-1821  7 15    15.0    14.3    13.6 1
-1821  7 16    17.0    16.3    15.6 1
-1821  7 17    16.2    15.5    14.8 1
-1821  7 18    16.0    15.3    14.6 1
-1821  7 19    18.5    17.8    17.1 1
-1821  7 20    18.2    17.5    16.8 1
-1821  7 21    18.2    17.5    16.8 1
-1821  7 22    13.3    12.6    11.9 1
-1821  7 23    16.9    16.2    15.5 1
-1821  7 24    14.8    14.1    13.4 1
-1821  7 25    16.1    15.4    14.7 1
-1821  7 26    15.4    14.7    14.0 1
-1821  7 27    16.3    15.6    14.9 1
-1821  7 28    16.8    16.1    15.4 1
-1821  7 29    16.1    15.4    14.7 1
-1821  7 30    16.4    15.7    15.0 1
-1821  7 31    16.3    15.6    14.9 1
-1821  8  1    18.1    17.4    16.8 1
-1821  8  2    17.6    16.9    16.3 1
-1821  8  3    16.0    15.3    14.7 1
-1821  8  4    13.0    12.3    11.7 1
-1821  8  5    15.7    15.0    14.5 1
-1821  8  6    17.8    17.1    16.6 1
-1821  8  7    18.8    18.1    17.6 1
-1821  8  8    17.7    17.0    16.5 1
-1821  8  9    16.3    15.6    15.1 1
-1821  8 10    16.4    15.7    15.3 1
-1821  8 11    16.5    15.8    15.4 1
-1821  8 12    15.2    14.5    14.1 1
-1821  8 13    16.2    15.5    15.1 1
-1821  8 14    15.9    15.2    14.9 1
-1821  8 15    13.7    13.0    12.7 1
-1821  8 16    16.9    16.2    15.9 1
-1821  8 17    16.9    16.2    15.9 1
-1821  8 18    15.7    15.0    14.7 1
-1821  8 19    14.9    14.2    14.0 1
-1821  8 20    16.5    15.8    15.6 1
-1821  8 21    17.6    16.9    16.7 1
-1821  8 22    14.2    13.5    13.3 1
-1821  8 23    12.7    12.0    11.9 1
-1821  8 24    15.0    14.3    14.2 1
-1821  8 25    13.4    12.7    12.6 1
-1821  8 26     9.4     8.7     8.6 1
-1821  8 27     9.6     8.9     8.8 1
-1821  8 28    12.1    11.4    11.4 1
-1821  8 29    11.4    10.7    10.7 1
-1821  8 30    12.7    12.0    12.0 1
-1821  8 31    11.6    10.9    10.9 1
-1821  9  1    11.3    10.6    10.6 1
-1821  9  2    13.7    13.0    13.0 1
-1821  9  3    15.1    14.4    14.4 1
-1821  9  4    15.6    14.9    14.9 1
-1821  9  5    13.7    13.0    13.0 1
-1821  9  6    16.2    15.5    15.5 1
-1821  9  7    16.9    16.2    16.2 1
-1821  9  8    17.1    16.4    16.4 1
-1821  9  9    16.6    15.9    15.9 1
-1821  9 10    15.4    14.7    14.7 1
-1821  9 11    16.4    15.7    15.7 1
-1821  9 12    15.6    14.9    14.9 1
-1821  9 13    13.6    12.9    12.9 1
-1821  9 14    14.6    13.9    13.9 1
-1821  9 15    11.2    10.5    10.5 1
-1821  9 16    11.7    11.0    11.0 1
-1821  9 17    12.9    12.2    12.2 1
-1821  9 18    11.2    10.5    10.5 1
-1821  9 19     9.9     9.2     9.2 1
-1821  9 20     9.4     8.7     8.7 1
-1821  9 21     7.2     6.5     6.5 1
-1821  9 22     7.5     6.8     6.8 1
-1821  9 23    10.9    10.2    10.2 1
-1821  9 24    11.7    11.0    11.0 1
-1821  9 25    14.9    14.2    14.2 1
-1821  9 26    12.1    11.4    11.4 1
-1821  9 27    11.5    10.8    10.8 1
-1821  9 28    13.5    12.8    12.8 1
-1821  9 29    11.8    11.1    11.1 1
-1821  9 30    12.2    11.5    11.5 1
-1821 10  1    13.5    12.8    12.8 1
-1821 10  2    10.8    10.1    10.1 1
-1821 10  3    10.5     9.8     9.8 1
-1821 10  4    12.6    11.9    11.9 1
-1821 10  5    15.3    14.6    14.6 1
-1821 10  6    12.0    11.3    11.3 1
-1821 10  7    13.8    13.1    13.1 1
-1821 10  8    15.4    14.7    14.7 1
-1821 10  9    14.1    13.4    13.4 1
-1821 10 10     8.9     8.2     8.2 1
-1821 10 11    10.9    10.2    10.2 1
-1821 10 12    12.3    11.6    11.6 1
-1821 10 13    10.3     9.6     9.6 1
-1821 10 14     7.9     7.2     7.2 1
-1821 10 15     9.2     8.5     8.5 1
-1821 10 16     8.9     8.2     8.2 1
-1821 10 17     6.4     5.7     5.7 1
-1821 10 18     7.8     7.1     7.1 1
-1821 10 19     5.5     4.8     4.8 1
-1821 10 20     3.2     2.5     2.5 1
-1821 10 21     8.9     8.2     8.2 1
-1821 10 22    11.1    10.4    10.4 1
-1821 10 23    11.6    10.9    10.9 1
-1821 10 24    12.1    11.4    11.4 1
-1821 10 25    12.1    11.4    11.4 1
-1821 10 26    11.2    10.5    10.5 1
-1821 10 27     8.2     7.5     7.5 1
-1821 10 28    11.2    10.5    10.5 1
-1821 10 29     8.9     8.2     8.2 1
-1821 10 30    11.9    11.2    11.2 1
-1821 10 31     9.9     9.2     9.2 1
-1821 11  1     9.9     9.2     9.2 1
-1821 11  2     6.9     6.2     6.2 1
-1821 11  3     6.9     6.2     6.2 1
-1821 11  4     1.0     0.3     0.3 1
-1821 11  5    -1.8    -2.5    -2.5 1
-1821 11  6     1.2     0.5     0.5 1
-1821 11  7     2.5     1.8     1.8 1
-1821 11  8     1.7     1.0     1.0 1
-1821 11  9     0.4    -0.3    -0.3 1
-1821 11 10     0.5    -0.2    -0.2 1
-1821 11 11    -0.5    -1.2    -1.2 1
-1821 11 12     2.5     1.8     1.8 1
-1821 11 13     6.2     5.5     5.5 1
-1821 11 14     7.6     6.9     6.9 1
-1821 11 15     7.9     7.2     7.2 1
-1821 11 16     8.1     7.4     7.4 1
-1821 11 17     9.5     8.8     8.8 1
-1821 11 18     0.2    -0.5    -0.5 1
-1821 11 19     0.2    -0.5    -0.5 1
-1821 11 20     5.6     4.9     4.9 1
-1821 11 21     5.6     4.9     4.9 1
-1821 11 22    -0.6    -1.3    -1.3 1
-1821 11 23    -0.8    -1.5    -1.5 1
-1821 11 24    -0.9    -1.6    -1.6 1
-1821 11 25     2.3     1.6     1.6 1
-1821 11 26     3.3     2.6     2.6 1
-1821 11 27     7.9     7.2     7.2 1
-1821 11 28     2.9     2.2     2.2 1
-1821 11 29     5.1     4.4     4.4 1
-1821 11 30    -0.9    -1.6    -1.6 1
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-1821 12  2    -1.1    -1.8    -1.8 1
-1821 12  3    -1.6    -2.3    -2.3 1
-1821 12  4     0.9     0.2     0.2 1
-1821 12  5    -1.5    -2.2    -2.2 1
-1821 12  6    -3.7    -4.4    -4.4 1
-1821 12  7    -1.9    -2.6    -2.6 1
-1821 12  8     0.2    -0.5    -0.5 1
-1821 12  9     0.5    -0.2    -0.2 1
-1821 12 10     5.4     4.7     4.7 1
-1821 12 11     5.5     4.8     4.8 1
-1821 12 12     2.8     2.1     2.1 1
-1821 12 13     1.7     1.0     1.0 1
-1821 12 14    -1.8    -2.5    -2.5 1
-1821 12 15     1.2     0.5     0.5 1
-1821 12 16     4.0     3.3     3.3 1
-1821 12 17     4.1     3.4     3.4 1
-1821 12 18     4.9     4.2     4.2 1
-1821 12 19     4.7     4.0     4.0 1
-1821 12 20     4.6     3.9     3.9 1
-1821 12 21     3.9     3.2     3.2 1
-1821 12 22     2.3     1.6     1.6 1
-1821 12 23     2.2     1.5     1.5 1
-1821 12 24     4.3     3.6     3.6 1
-1821 12 25     3.6     2.9     2.9 1
-1821 12 26     5.1     4.4     4.4 1
-1821 12 27     2.5     1.8     1.8 1
-1821 12 28     3.5     2.8     2.8 1
-1821 12 29     2.6     1.9     1.9 1
-1821 12 30     1.9     1.2     1.2 1
-1821 12 31     1.7     1.0     1.0 1
-1822  1  1    -0.7    -1.4    -1.4 1
-1822  1  2     0.0    -0.7    -0.7 1
-1822  1  3     1.6     0.9     0.9 1
-1822  1  4     1.6     0.9     0.9 1
-1822  1  5    -0.1    -0.8    -0.8 1
-1822  1  6    -5.7    -6.4    -6.4 1
-1822  1  7    -4.2    -4.9    -4.9 1
-1822  1  8    -6.8    -7.5    -7.5 1
-1822  1  9    -4.6    -5.3    -5.3 1
-1822  1 10     1.2     0.5     0.5 1
-1822  1 11    -3.0    -3.7    -3.7 1
-1822  1 12    -2.6    -3.3    -3.3 1
-1822  1 13     2.4     1.7     1.7 1
-1822  1 14     0.9     0.2     0.2 1
-1822  1 15    -1.6    -2.3    -2.3 1
-1822  1 16    -7.7    -8.4    -8.4 1
-1822  1 17    -8.7    -9.4    -9.4 1
-1822  1 18    -1.8    -2.5    -2.5 1
-1822  1 19    -3.0    -3.7    -3.7 1
-1822  1 20     0.9     0.2     0.2 1
-1822  1 21     0.9     0.2     0.2 1
-1822  1 22    -1.4    -2.1    -2.1 1
-1822  1 23     3.7     3.0     3.0 1
-1822  1 24    -1.5    -2.2    -2.2 1
-1822  1 25    -1.5    -2.2    -2.2 1
-1822  1 26    -1.4    -2.1    -2.1 1
-1822  1 27    -5.3    -6.0    -6.0 1
-1822  1 28     2.6     1.9     1.9 1
-1822  1 29     1.9     1.2     1.2 1
-1822  1 30    -3.4    -4.1    -4.1 1
-1822  1 31     1.0     0.3     0.3 1
-1822  2  1     1.9     1.2     1.2 1
-1822  2  2     4.5     3.8     3.8 1
-1822  2  3     4.7     4.0     4.0 1
-1822  2  4     2.8     2.1     2.1 1
-1822  2  5     0.9     0.2     0.2 1
-1822  2  6     2.1     1.4     1.4 1
-1822  2  7    -0.2    -0.9    -0.9 1
-1822  2  8     2.3     1.6     1.6 1
-1822  2  9     4.2     3.5     3.5 1
-1822  2 10     2.4     1.7     1.7 1
-1822  2 11     2.1     1.4     1.4 1
-1822  2 12     1.7     1.0     1.0 1
-1822  2 13     1.6     0.9     0.9 1
-1822  2 14     1.5     0.8     0.8 1
-1822  2 15     1.7     1.0     1.0 1
-1822  2 16     2.0     1.3     1.3 1
-1822  2 17     1.9     1.2     1.2 1
-1822  2 18     3.8     3.1     3.1 1
-1822  2 19     4.2     3.5     3.5 1
-1822  2 20     6.2     5.5     5.5 1
-1822  2 21     1.4     0.7     0.7 1
-1822  2 22     3.3     2.6     2.6 1
-1822  2 23     4.7     4.0     4.0 1
-1822  2 24     4.9     4.2     4.2 1
-1822  2 25     2.5     1.8     1.8 1
-1822  2 26     4.6     3.9     3.9 1
-1822  2 27     4.8     4.1     4.1 1
-1822  2 28     2.4     1.7     1.7 1
-1822  3  1     3.9     3.2     3.2 1
-1822  3  2     3.3     2.6     2.6 1
-1822  3  3     2.5     1.8     1.8 1
-1822  3  4     5.7     5.0     5.0 1
-1822  3  5     5.3     4.6     4.6 1
-1822  3  6     6.4     5.7     5.7 1
-1822  3  7     5.3     4.6     4.6 1
-1822  3  8     1.8     1.1     1.1 1
-1822  3  9    -1.6    -2.3    -2.3 1
-1822  3 10     0.6    -0.1    -0.1 1
-1822  3 11     3.0     2.3     2.3 1
-1822  3 12     1.1     0.4     0.4 1
-1822  3 13     4.1     3.4     3.4 1
-1822  3 14     5.1     4.4     4.4 1
-1822  3 15     6.2     5.5     5.5 1
-1822  3 16     5.3     4.6     4.6 1
-1822  3 17     7.1     6.4     6.4 1
-1822  3 18     4.9     4.2     4.2 1
-1822  3 19     4.4     3.7     3.7 1
-1822  3 20     6.1     5.4     5.4 1
-1822  3 21     4.8     4.1     4.1 1
-1822  3 22     7.2     6.5     6.5 1
-1822  3 23     9.0     8.3     8.3 1
-1822  3 24     8.9     8.2     8.2 1
-1822  3 25     6.0     5.3     5.3 1
-1822  3 26     4.0     3.3     3.3 1
-1822  3 27     3.0     2.3     2.3 1
-1822  3 28    10.5     9.8     9.8 1
-1822  3 29     8.7     8.0     8.0 1
-1822  3 30     3.5     2.8     2.8 1
-1822  3 31     1.4     0.7     0.7 1
-1822  4  1     1.5     0.8     0.8 1
-1822  4  2     1.3     0.6     0.6 1
-1822  4  3     4.0     3.3     3.3 1
-1822  4  4     0.5    -0.2    -0.2 1
-1822  4  5     0.2    -0.5    -0.5 1
-1822  4  6    -1.6    -2.3    -2.3 1
-1822  4  7    -0.5    -1.2    -1.2 1
-1822  4  8     1.5     0.8     0.8 1
-1822  4  9     0.8     0.1     0.1 1
-1822  4 10     0.9     0.2     0.2 1
-1822  4 11     2.4     1.7     1.7 1
-1822  4 12     4.6     3.9     3.9 1
-1822  4 13     5.5     4.8     4.8 1
-1822  4 14     5.5     4.8     4.8 1
-1822  4 15     5.8     5.1     5.1 1
-1822  4 16    11.0    10.3    10.3 1
-1822  4 17    11.6    10.9    10.9 1
-1822  4 18     8.1     7.4     7.4 1
-1822  4 19    10.3     9.6     9.6 1
-1822  4 20    10.4     9.7     9.7 1
-1822  4 21    10.2     9.5     9.5 1
-1822  4 22    10.7    10.0    10.0 1
-1822  4 23    13.3    12.6    12.6 1
-1822  4 24    13.5    12.8    12.8 1
-1822  4 25    12.4    11.7    11.7 1
-1822  4 26    11.6    10.9    10.9 1
-1822  4 27    10.4     9.7     9.7 1
-1822  4 28     9.4     8.7     8.7 1
-1822  4 29     9.5     8.8     8.8 1
-1822  4 30    10.6     9.9     9.9 1
-1822  5  1    15.3    14.6    14.6 1
-1822  5  2    11.1    10.4    10.4 1
-1822  5  3    12.9    12.2    12.2 1
-1822  5  4    12.1    11.4    11.4 1
-1822  5  5    13.1    12.4    12.3 1
-1822  5  6     9.9     9.2     9.1 1
-1822  5  7     4.9     4.2     4.1 1
-1822  5  8     8.3     7.6     7.5 1
-1822  5  9     4.8     4.1     4.0 1
-1822  5 10     6.1     5.4     5.2 1
-1822  5 11     7.3     6.6     6.4 1
-1822  5 12     7.0     6.3     6.1 1
-1822  5 13     7.7     7.0     6.8 1
-1822  5 14    12.2    11.5    11.2 1
-1822  5 15    12.0    11.3    11.0 1
-1822  5 16    10.0     9.3     9.0 1
-1822  5 17    12.1    11.4    11.1 1
-1822  5 18    15.9    15.2    14.9 1
-1822  5 19    15.8    15.1    14.7 1
-1822  5 20    16.2    15.5    15.1 1
-1822  5 21    19.8    19.1    18.7 1
-1822  5 22    12.9    12.2    11.8 1
-1822  5 23    13.0    12.3    11.8 1
-1822  5 24    14.6    13.9    13.4 1
-1822  5 25    17.8    17.1    16.6 1
-1822  5 26    18.1    17.4    16.9 1
-1822  5 27    15.9    15.2    14.7 1
-1822  5 28    13.3    12.6    12.0 1
-1822  5 29    14.1    13.4    12.8 1
-1822  5 30    16.3    15.6    15.0 1
-1822  5 31    15.0    14.3    13.7 1
-1822  6  1    15.0    14.3    13.6 1
-1822  6  2    12.6    11.9    11.2 1
-1822  6  3    15.4    14.7    14.0 1
-1822  6  4    21.5    20.8    20.1 1
-1822  6  5    16.0    15.3    14.6 1
-1822  6  6    12.8    12.1    11.4 1
-1822  6  7    14.0    13.3    12.6 1
-1822  6  8    13.6    12.9    12.2 1
-1822  6  9    16.8    16.1    15.4 1
-1822  6 10    20.3    19.6    18.9 1
-1822  6 11    18.8    18.1    17.4 1
-1822  6 12    11.3    10.6     9.9 1
-1822  6 13    10.8    10.1     9.4 1
-1822  6 14    11.9    11.2    10.5 1
-1822  6 15     8.0     7.3     6.6 1
-1822  6 16     9.8     9.1     8.4 1
-1822  6 17    15.0    14.3    13.6 1
-1822  6 18    14.8    14.1    13.4 1
-1822  6 19    10.8    10.1     9.4 1
-1822  6 20     9.4     8.7     8.0 1
-1822  6 21    10.5     9.8     9.1 1
-1822  6 22    15.4    14.7    14.0 1
-1822  6 23    16.5    15.8    15.1 1
-1822  6 24    16.0    15.3    14.6 1
-1822  6 25    19.4    18.7    18.0 1
-1822  6 26    19.2    18.5    17.8 1
-1822  6 27    21.8    21.1    20.4 1
-1822  6 28    23.0    22.3    21.6 1
-1822  6 29    20.0    19.3    18.6 1
-1822  6 30    21.8    21.1    20.4 1
-1822  7  1    19.3    18.6    17.9 1
-1822  7  2    18.2    17.5    16.8 1
-1822  7  3    18.2    17.5    16.8 1
-1822  7  4    15.9    15.2    14.5 1
-1822  7  5    17.1    16.4    15.7 1
-1822  7  6    16.3    15.6    14.9 1
-1822  7  7    15.8    15.1    14.4 1
-1822  7  8    14.9    14.2    13.5 1
-1822  7  9    14.1    13.4    12.7 1
-1822  7 10    16.3    15.6    14.9 1
-1822  7 11    18.4    17.7    17.0 1
-1822  7 12    17.1    16.4    15.7 1
-1822  7 13    14.9    14.2    13.5 1
-1822  7 14    12.2    11.5    10.8 1
-1822  7 15    14.6    13.9    13.2 1
-1822  7 16    14.5    13.8    13.1 1
-1822  7 17    17.5    16.8    16.1 1
-1822  7 18    20.0    19.3    18.6 1
-1822  7 19    18.9    18.2    17.5 1
-1822  7 20    19.7    19.0    18.3 1
-1822  7 21    21.5    20.8    20.1 1
-1822  7 22    19.1    18.4    17.7 1
-1822  7 23    18.0    17.3    16.6 1
-1822  7 24    15.7    15.0    14.3 1
-1822  7 25    16.4    15.7    15.0 1
-1822  7 26    16.1    15.4    14.7 1
-1822  7 27    16.0    15.3    14.6 1
-1822  7 28    17.4    16.7    16.0 1
-1822  7 29    18.2    17.5    16.8 1
-1822  7 30    18.8    18.1    17.4 1
-1822  7 31    17.4    16.7    16.0 1
-1822  8  1    16.4    15.7    15.1 1
-1822  8  2    16.5    15.8    15.2 1
-1822  8  3    16.4    15.7    15.1 1
-1822  8  4    16.3    15.6    15.0 1
-1822  8  5    14.9    14.2    13.7 1
-1822  8  6    17.3    16.6    16.1 1
-1822  8  7    18.4    17.7    17.2 1
-1822  8  8    18.4    17.7    17.2 1
-1822  8  9    17.3    16.6    16.1 1
-1822  8 10    16.4    15.7    15.3 1
-1822  8 11    18.1    17.4    17.0 1
-1822  8 12    18.4    17.7    17.3 1
-1822  8 13    17.2    16.5    16.1 1
-1822  8 14    17.2    16.5    16.2 1
-1822  8 15    17.8    17.1    16.8 1
-1822  8 16    17.1    16.4    16.1 1
-1822  8 17    15.5    14.8    14.5 1
-1822  8 18    16.8    16.1    15.8 1
-1822  8 19    17.4    16.7    16.5 1
-1822  8 20    17.9    17.2    17.0 1
-1822  8 21    17.3    16.6    16.4 1
-1822  8 22    16.9    16.2    16.0 1
-1822  8 23    17.2    16.5    16.4 1
-1822  8 24    17.2    16.5    16.4 1
-1822  8 25    17.0    16.3    16.2 1
-1822  8 26    16.5    15.8    15.7 1
-1822  8 27    16.1    15.4    15.3 1
-1822  8 28    15.0    14.3    14.3 1
-1822  8 29    13.9    13.2    13.2 1
-1822  8 30    15.5    14.8    14.8 1
-1822  8 31    16.4    15.7    15.7 1
-1822  9  1    16.5    15.8    15.8 1
-1822  9  2    14.4    13.7    13.7 1
-1822  9  3    16.0    15.3    15.3 1
-1822  9  4    14.1    13.4    13.4 1
-1822  9  5    14.6    13.9    13.9 1
-1822  9  6    17.3    16.6    16.6 1
-1822  9  7    15.2    14.5    14.5 1
-1822  9  8    14.3    13.6    13.6 1
-1822  9  9    14.9    14.2    14.2 1
-1822  9 10    10.4     9.7     9.7 1
-1822  9 11    12.2    11.5    11.5 1
-1822  9 12    12.0    11.3    11.3 1
-1822  9 13    10.9    10.2    10.2 1
-1822  9 14    10.9    10.2    10.2 1
-1822  9 15    13.6    12.9    12.9 1
-1822  9 16    12.6    11.9    11.9 1
-1822  9 17     9.3     8.6     8.6 1
-1822  9 18    11.2    10.5    10.5 1
-1822  9 19    10.5     9.8     9.8 1
-1822  9 20     9.7     9.0     9.0 1
-1822  9 21    10.7    10.0    10.0 1
-1822  9 22    10.5     9.8     9.8 1
-1822  9 23    10.4     9.7     9.7 1
-1822  9 24    10.2     9.5     9.5 1
-1822  9 25    13.5    12.8    12.8 1
-1822  9 26     7.1     6.4     6.4 1
-1822  9 27     6.9     6.2     6.2 1
-1822  9 28     7.6     6.9     6.9 1
-1822  9 29     8.7     8.0     8.0 1
-1822  9 30     8.6     7.9     7.9 1
-1822 10  1     8.0     7.3     7.3 1
-1822 10  2     9.1     8.4     8.4 1
-1822 10  3     7.2     6.5     6.5 1
-1822 10  4     8.4     7.7     7.7 1
-1822 10  5    12.1    11.4    11.4 1
-1822 10  6    12.1    11.4    11.4 1
-1822 10  7    11.9    11.2    11.2 1
-1822 10  8    11.7    11.0    11.0 1
-1822 10  9    12.8    12.1    12.1 1
-1822 10 10    13.4    12.7    12.7 1
-1822 10 11    10.3     9.6     9.6 1
-1822 10 12     9.6     8.9     8.9 1
-1822 10 13     9.7     9.0     9.0 1
-1822 10 14    12.5    11.8    11.8 1
-1822 10 15     8.1     7.4     7.4 1
-1822 10 16     5.7     5.0     5.0 1
-1822 10 17     7.1     6.4     6.4 1
-1822 10 18     7.5     6.8     6.8 1
-1822 10 19     6.8     6.1     6.1 1
-1822 10 20     7.8     7.1     7.1 1
-1822 10 21    10.8    10.1    10.1 1
-1822 10 22    11.4    10.7    10.7 1
-1822 10 23     8.8     8.1     8.1 1
-1822 10 24     3.6     2.9     2.9 1
-1822 10 25     4.9     4.2     4.2 1
-1822 10 26     7.7     7.0     7.0 1
-1822 10 27     9.5     8.8     8.8 1
-1822 10 28     7.4     6.7     6.7 1
-1822 10 29     5.9     5.2     5.2 1
-1822 10 30     4.2     3.5     3.5 1
-1822 10 31     4.2     3.5     3.5 1
-1822 11  1     6.6     5.9     5.9 1
-1822 11  2    10.3     9.6     9.6 1
-1822 11  3    10.7    10.0    10.0 1
-1822 11  4     9.5     8.8     8.8 1
-1822 11  5     8.4     7.7     7.7 1
-1822 11  6     7.0     6.3     6.3 1
-1822 11  7     7.0     6.3     6.3 1
-1822 11  8     6.9     6.2     6.2 1
-1822 11  9     3.0     2.3     2.3 1
-1822 11 10    -2.1    -2.8    -2.8 1
-1822 11 11    -1.4    -2.1    -2.1 1
-1822 11 12     2.8     2.1     2.1 1
-1822 11 13     3.7     3.0     3.0 1
-1822 11 14     2.7     2.0     2.0 1
-1822 11 15     2.9     2.2     2.2 1
-1822 11 16     6.2     5.5     5.5 1
-1822 11 17     7.4     6.7     6.7 1
-1822 11 18     2.5     1.8     1.8 1
-1822 11 19     6.3     5.6     5.6 1
-1822 11 20     7.3     6.6     6.6 1
-1822 11 21     7.7     7.0     7.0 1
-1822 11 22     6.8     6.1     6.1 1
-1822 11 23     7.4     6.7     6.7 1
-1822 11 24     7.3     6.6     6.6 1
-1822 11 25    -1.1    -1.8    -1.8 1
-1822 11 26     0.2    -0.5    -0.5 1
-1822 11 27     5.0     4.3     4.3 1
-1822 11 28     6.9     6.2     6.2 1
-1822 11 29     5.8     5.1     5.1 1
-1822 11 30     4.0     3.3     3.3 1
-1822 12  1     3.8     3.1     3.1 1
-1822 12  2     4.9     4.2     4.2 1
-1822 12  3     5.6     4.9     4.9 1
-1822 12  4     4.2     3.5     3.5 1
-1822 12  5     4.0     3.3     3.3 1
-1822 12  6     5.4     4.7     4.7 1
-1822 12  7     5.7     5.0     5.0 1
-1822 12  8     2.9     2.2     2.2 1
-1822 12  9     4.4     3.7     3.7 1
-1822 12 10     4.2     3.5     3.5 1
-1822 12 11     1.6     0.9     0.9 1
-1822 12 12     0.4    -0.3    -0.3 1
-1822 12 13    -0.7    -1.4    -1.4 1
-1822 12 14    -0.1    -0.8    -0.8 1
-1822 12 15    -0.3    -1.0    -1.0 1
-1822 12 16     1.2     0.5     0.5 1
-1822 12 17     1.1     0.4     0.4 1
-1822 12 18    -1.6    -2.3    -2.3 1
-1822 12 19    -1.9    -2.6    -2.6 1
-1822 12 20    -1.0    -1.7    -1.7 1
-1822 12 21    -3.1    -3.8    -3.8 1
-1822 12 22    -1.3    -2.0    -2.0 1
-1822 12 23    -2.4    -3.1    -3.1 1
-1822 12 24    -4.2    -4.9    -4.9 1
-1822 12 25    -1.8    -2.5    -2.5 1
-1822 12 26    -3.2    -3.9    -3.9 1
-1822 12 27    -0.9    -1.6    -1.6 1
-1822 12 28    -4.8    -5.5    -5.5 1
-1822 12 29    -2.6    -3.3    -3.3 1
-1822 12 30    -2.6    -3.3    -3.3 1
-1822 12 31    -3.1    -3.8    -3.8 1
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-1823  1  2    -1.9    -2.6    -2.6 1
-1823  1  3    -1.1    -1.8    -1.8 1
-1823  1  4    -0.7    -1.4    -1.4 1
-1823  1  5    -3.2    -3.9    -3.9 1
-1823  1  6    -3.2    -3.9    -3.9 1
-1823  1  7    -3.9    -4.6    -4.6 1
-1823  1  8    -5.9    -6.6    -6.6 1
-1823  1  9    -7.2    -7.9    -7.9 1
-1823  1 10    -3.7    -4.4    -4.4 1
-1823  1 11    -6.8    -7.5    -7.5 1
-1823  1 12    -8.0    -8.7    -8.7 1
-1823  1 13    -8.1    -8.8    -8.8 1
-1823  1 14    -4.7    -5.4    -5.4 1
-1823  1 15    -8.3    -9.0    -9.0 1
-1823  1 16    -7.5    -8.2    -8.2 1
-1823  1 17    -5.1    -5.8    -5.8 1
-1823  1 18    -4.0    -4.7    -4.7 1
-1823  1 19    -6.5    -7.2    -7.2 1
-1823  1 20    -8.7    -9.4    -9.4 1
-1823  1 21   -12.2   -12.9   -12.9 1
-1823  1 22    -7.9    -8.6    -8.6 1
-1823  1 23    -5.2    -5.9    -5.9 1
-1823  1 24    -6.5    -7.2    -7.2 1
-1823  1 25    -7.1    -7.8    -7.8 1
-1823  1 26    -6.8    -7.5    -7.5 1
-1823  1 27    -7.9    -8.6    -8.6 1
-1823  1 28    -6.5    -7.2    -7.2 1
-1823  1 29    -4.9    -5.6    -5.6 1
-1823  1 30    -4.4    -5.1    -5.1 1
-1823  1 31    -8.3    -9.0    -9.0 1
-1823  2  1    -9.9   -10.6   -10.6 1
-1823  2  2   -13.9   -14.6   -14.6 1
-1823  2  3   -14.2   -14.9   -14.9 1
-1823  2  4   -14.9   -15.6   -15.6 1
-1823  2  5   -13.6   -14.3   -14.3 1
-1823  2  6   -17.2   -17.9   -17.9 1
-1823  2  7   -16.8   -17.5   -17.5 1
-1823  2  8   -11.8   -12.5   -12.5 1
-1823  2  9    -4.5    -5.2    -5.2 1
-1823  2 10    -4.2    -4.9    -4.9 1
-1823  2 11    -1.7    -2.4    -2.4 1
-1823  2 12     1.7     1.0     1.0 1
-1823  2 13     2.0     1.3     1.3 1
-1823  2 14    -0.4    -1.1    -1.1 1
-1823  2 15    -3.5    -4.2    -4.2 1
-1823  2 16    -1.9    -2.6    -2.6 1
-1823  2 17    -2.4    -3.1    -3.1 1
-1823  2 18    -2.2    -2.9    -2.9 1
-1823  2 19    -1.5    -2.2    -2.2 1
-1823  2 20    -4.1    -4.8    -4.8 1
-1823  2 21    -1.8    -2.5    -2.5 1
-1823  2 22     0.4    -0.3    -0.3 1
-1823  2 23     0.5    -0.2    -0.2 1
-1823  2 24     0.6    -0.1    -0.1 1
-1823  2 25    -0.1    -0.8    -0.8 1
-1823  2 26    -0.3    -1.0    -1.0 1
-1823  2 27     0.3    -0.4    -0.4 1
-1823  2 28     0.9     0.2     0.2 1
-1823  3  1     0.1    -0.6    -0.6 1
-1823  3  2    -1.9    -2.6    -2.6 1
-1823  3  3     2.0     1.3     1.3 1
-1823  3  4     1.2     0.5     0.5 1
-1823  3  5     0.8     0.1     0.1 1
-1823  3  6    -2.9    -3.6    -3.6 1
-1823  3  7    -1.7    -2.4    -2.4 1
-1823  3  8    -0.1    -0.8    -0.8 1
-1823  3  9    -0.4    -1.1    -1.1 1
-1823  3 10     1.4     0.7     0.7 1
-1823  3 11     1.0     0.3     0.3 1
-1823  3 12    -1.2    -1.9    -1.9 1
-1823  3 13    -1.2    -1.9    -1.9 1
-1823  3 14     0.9     0.2     0.2 1
-1823  3 15     1.6     0.9     0.9 1
-1823  3 16     1.5     0.8     0.8 1
-1823  3 17     0.5    -0.2    -0.2 1
-1823  3 18     1.1     0.4     0.4 1
-1823  3 19     0.4    -0.3    -0.3 1
-1823  3 20    -1.1    -1.8    -1.8 1
-1823  3 21    -0.9    -1.6    -1.6 1
-1823  3 22     0.2    -0.5    -0.5 1
-1823  3 23     2.1     1.4     1.4 1
-1823  3 24     2.7     2.0     2.0 1
-1823  3 25     1.9     1.2     1.2 1
-1823  3 26     0.5    -0.2    -0.2 1
-1823  3 27     1.3     0.6     0.6 1
-1823  3 28     0.5    -0.2    -0.2 1
-1823  3 29    -0.3    -1.0    -1.0 1
-1823  3 30     0.7     0.0     0.0 1
-1823  3 31     2.1     1.4     1.4 1
-1823  4  1     1.9     1.2     1.2 1
-1823  4  2     1.1     0.4     0.4 1
-1823  4  3     1.1     0.4     0.4 1
-1823  4  4     3.4     2.7     2.7 1
-1823  4  5     2.5     1.8     1.8 1
-1823  4  6     2.3     1.6     1.6 1
-1823  4  7     3.9     3.2     3.2 1
-1823  4  8     0.7     0.0     0.0 1
-1823  4  9     1.2     0.5     0.5 1
-1823  4 10     1.5     0.8     0.8 1
-1823  4 11     4.5     3.8     3.8 1
-1823  4 12     5.7     5.0     5.0 1
-1823  4 13     0.7     0.0     0.0 1
-1823  4 14     4.6     3.9     3.9 1
-1823  4 15     1.6     0.9     0.9 1
-1823  4 16     3.5     2.8     2.8 1
-1823  4 17     1.9     1.2     1.2 1
-1823  4 18     1.6     0.9     0.9 1
-1823  4 19     0.4    -0.3    -0.3 1
-1823  4 20     1.1     0.4     0.4 1
-1823  4 21     2.4     1.7     1.7 1
-1823  4 22     0.3    -0.4    -0.4 1
-1823  4 23     0.8     0.1     0.1 1
-1823  4 24     3.4     2.7     2.7 1
-1823  4 25     2.3     1.6     1.6 1
-1823  4 26     3.9     3.2     3.2 1
-1823  4 27     2.9     2.2     2.2 1
-1823  4 28     3.7     3.0     3.0 1
-1823  4 29     3.8     3.1     3.1 1
-1823  4 30     1.7     1.0     1.0 1
-1823  5  1     5.9     5.2     5.2 1
-1823  5  2     6.5     5.8     5.8 1
-1823  5  3     7.4     6.7     6.7 1
-1823  5  4     5.7     5.0     5.0 1
-1823  5  5     5.0     4.3     4.2 1
-1823  5  6     6.4     5.7     5.6 1
-1823  5  7     7.0     6.3     6.2 1
-1823  5  8     4.6     3.9     3.8 1
-1823  5  9     3.1     2.4     2.3 1
-1823  5 10     4.0     3.3     3.1 1
-1823  5 11     6.1     5.4     5.2 1
-1823  5 12     7.4     6.7     6.5 1
-1823  5 13     8.3     7.6     7.4 1
-1823  5 14     8.2     7.5     7.2 1
-1823  5 15     9.8     9.1     8.8 1
-1823  5 16     9.0     8.3     8.0 1
-1823  5 17     9.6     8.9     8.6 1
-1823  5 18    10.0     9.3     9.0 1
-1823  5 19    10.9    10.2     9.8 1
-1823  5 20    11.9    11.2    10.8 1
-1823  5 21     8.9     8.2     7.8 1
-1823  5 22    10.2     9.5     9.1 1
-1823  5 23    10.9    10.2     9.7 1
-1823  5 24     9.1     8.4     7.9 1
-1823  5 25    11.2    10.5    10.0 1
-1823  5 26    10.0     9.3     8.8 1
-1823  5 27    11.2    10.5    10.0 1
-1823  5 28    12.5    11.8    11.2 1
-1823  5 29    13.0    12.3    11.7 1
-1823  5 30    15.2    14.5    13.9 1
-1823  5 31    16.9    16.2    15.6 1
-1823  6  1    17.6    16.9    16.2 1
-1823  6  2    18.7    18.0    17.3 1
-1823  6  3    16.5    15.8    15.1 1
-1823  6  4    14.0    13.3    12.6 1
-1823  6  5    13.2    12.5    11.8 1
-1823  6  6    14.6    13.9    13.2 1
-1823  6  7    15.5    14.8    14.1 1
-1823  6  8    15.7    15.0    14.3 1
-1823  6  9    17.8    17.1    16.4 1
-1823  6 10    17.1    16.4    15.7 1
-1823  6 11    20.2    19.5    18.8 1
-1823  6 12    22.9    22.2    21.5 1
-1823  6 13    25.2    24.5    23.8 1
-1823  6 14    23.0    22.3    21.6 1
-1823  6 15    20.4    19.7    19.0 1
-1823  6 16    15.2    14.5    13.8 1
-1823  6 17    15.5    14.8    14.1 1
-1823  6 18    15.4    14.7    14.0 1
-1823  6 19    12.0    11.3    10.6 1
-1823  6 20    16.4    15.7    15.0 1
-1823  6 21    14.7    14.0    13.3 1
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-1823  6 23    13.4    12.7    12.0 1
-1823  6 24    15.3    14.6    13.9 1
-1823  6 25    14.3    13.6    12.9 1
-1823  6 26    14.5    13.8    13.1 1
-1823  6 27    15.5    14.8    14.1 1
-1823  6 28    16.5    15.8    15.1 1
-1823  6 29    16.6    15.9    15.2 1
-1823  6 30    13.5    12.8    12.1 1
-1823  7  1    15.0    14.3    13.6 1
-1823  7  2    16.5    15.8    15.1 1
-1823  7  3    15.1    14.4    13.7 1
-1823  7  4    13.3    12.6    11.9 1
-1823  7  5    13.5    12.8    12.1 1
-1823  7  6    13.7    13.0    12.3 1
-1823  7  7    14.5    13.8    13.1 1
-1823  7  8    13.5    12.8    12.1 1
-1823  7  9    15.6    14.9    14.2 1
-1823  7 10    15.4    14.7    14.0 1
-1823  7 11    15.5    14.8    14.1 1
-1823  7 12    15.1    14.4    13.7 1
-1823  7 13    16.5    15.8    15.1 1
-1823  7 14    19.0    18.3    17.6 1
-1823  7 15    17.3    16.6    15.9 1
-1823  7 16    18.7    18.0    17.3 1
-1823  7 17    17.4    16.7    16.0 1
-1823  7 18    17.9    17.2    16.5 1
-1823  7 19    17.1    16.4    15.7 1
-1823  7 20    16.2    15.5    14.8 1
-1823  7 21    19.7    19.0    18.3 1
-1823  7 22    17.1    16.4    15.7 1
-1823  7 23    19.8    19.1    18.4 1
-1823  7 24    15.6    14.9    14.2 1
-1823  7 25    16.9    16.2    15.5 1
-1823  7 26    19.3    18.6    17.9 1
-1823  7 27    18.8    18.1    17.4 1
-1823  7 28    17.3    16.6    15.9 1
-1823  7 29    19.3    18.6    17.9 1
-1823  7 30    19.9    19.2    18.5 1
-1823  7 31    21.4    20.7    20.0 1
-1823  8  1    22.0    21.3    20.7 1
-1823  8  2    20.6    19.9    19.3 1
-1823  8  3    19.5    18.8    18.2 1
-1823  8  4    19.1    18.4    17.8 1
-1823  8  5    17.0    16.3    15.8 1
-1823  8  6    17.2    16.5    16.0 1
-1823  8  7    16.4    15.7    15.2 1
-1823  8  8    16.2    15.5    15.0 1
-1823  8  9    16.8    16.1    15.6 1
-1823  8 10    15.9    15.2    14.8 1
-1823  8 11    18.0    17.3    16.9 1
-1823  8 12    17.8    17.1    16.7 1
-1823  8 13    18.5    17.8    17.4 1
-1823  8 14    18.3    17.6    17.3 1
-1823  8 15    18.4    17.7    17.4 1
-1823  8 16    16.0    15.3    15.0 1
-1823  8 17    17.9    17.2    16.9 1
-1823  8 18    16.3    15.6    15.3 1
-1823  8 19    16.4    15.7    15.5 1
-1823  8 20    16.8    16.1    15.9 1
-1823  8 21    18.3    17.6    17.4 1
-1823  8 22    16.0    15.3    15.1 1
-1823  8 23    16.1    15.4    15.3 1
-1823  8 24    16.9    16.2    16.1 1
-1823  8 25    17.1    16.4    16.3 1
-1823  8 26    19.7    19.0    18.9 1
-1823  8 27    14.1    13.4    13.3 1
-1823  8 28    15.2    14.5    14.5 1
-1823  8 29    15.2    14.5    14.5 1
-1823  8 30    16.1    15.4    15.4 1
-1823  8 31    15.7    15.0    15.0 1
-1823  9  1    14.8    14.1    14.1 1
-1823  9  2    13.6    12.9    12.9 1
-1823  9  3    15.8    15.1    15.1 1
-1823  9  4    13.6    12.9    12.9 1
-1823  9  5    10.4     9.7     9.7 1
-1823  9  6     9.7     9.0     9.0 1
-1823  9  7     9.0     8.3     8.3 1
-1823  9  8    10.2     9.5     9.5 1
-1823  9  9    12.2    11.5    11.5 1
-1823  9 10     8.2     7.5     7.5 1
-1823  9 11     8.4     7.7     7.7 1
-1823  9 12    11.1    10.4    10.4 1
-1823  9 13    11.6    10.9    10.9 1
-1823  9 14    13.4    12.7    12.7 1
-1823  9 15    13.8    13.1    13.1 1
-1823  9 16    14.1    13.4    13.4 1
-1823  9 17    14.3    13.6    13.6 1
-1823  9 18    12.8    12.1    12.1 1
-1823  9 19    11.5    10.8    10.8 1
-1823  9 20    11.1    10.4    10.4 1
-1823  9 21    11.0    10.3    10.3 1
-1823  9 22    12.5    11.8    11.8 1
-1823  9 23    13.7    13.0    13.0 1
-1823  9 24    10.4     9.7     9.7 1
-1823  9 25    12.4    11.7    11.7 1
-1823  9 26    14.0    13.3    13.3 1
-1823  9 27    14.4    13.7    13.7 1
-1823  9 28    10.3     9.6     9.6 1
-1823  9 29     8.6     7.9     7.9 1
-1823  9 30     8.7     8.0     8.0 1
-1823 10  1    13.9    13.2    13.2 1
-1823 10  2    14.7    14.0    14.0 1
-1823 10  3    13.2    12.5    12.5 1
-1823 10  4     8.6     7.9     7.9 1
-1823 10  5    10.2     9.5     9.5 1
-1823 10  6    10.2     9.5     9.5 1
-1823 10  7    11.8    11.1    11.1 1
-1823 10  8    12.5    11.8    11.8 1
-1823 10  9    11.6    10.9    10.9 1
-1823 10 10    12.4    11.7    11.7 1
-1823 10 11    13.0    12.3    12.3 1
-1823 10 12    12.2    11.5    11.5 1
-1823 10 13    12.0    11.3    11.3 1
-1823 10 14    11.9    11.2    11.2 1
-1823 10 15    11.0    10.3    10.3 1
-1823 10 16     9.4     8.7     8.7 1
-1823 10 17     8.3     7.6     7.6 1
-1823 10 18     7.8     7.1     7.1 1
-1823 10 19     8.6     7.9     7.9 1
-1823 10 20     5.8     5.1     5.1 1
-1823 10 21     4.2     3.5     3.5 1
-1823 10 22     6.4     5.7     5.7 1
-1823 10 23     6.6     5.9     5.9 1
-1823 10 24     5.1     4.4     4.4 1
-1823 10 25     4.9     4.2     4.2 1
-1823 10 26     5.2     4.5     4.5 1
-1823 10 27     6.2     5.5     5.5 1
-1823 10 28     8.9     8.2     8.2 1
-1823 10 29     9.0     8.3     8.3 1
-1823 10 30     6.1     5.4     5.4 1
-1823 10 31     5.4     4.7     4.7 1
-1823 11  1     3.1     2.4     2.4 1
-1823 11  2     1.0     0.3     0.3 1
-1823 11  3     4.1     3.4     3.4 1
-1823 11  4     6.6     5.9     5.9 1
-1823 11  5     6.3     5.6     5.6 1
-1823 11  6     2.8     2.1     2.1 1
-1823 11  7     3.0     2.3     2.3 1
-1823 11  8     0.4    -0.3    -0.3 1
-1823 11  9     0.1    -0.6    -0.6 1
-1823 11 10    -1.2    -1.9    -1.9 1
-1823 11 11     3.6     2.9     2.9 1
-1823 11 12     4.5     3.8     3.8 1
-1823 11 13     4.3     3.6     3.6 1
-1823 11 14     2.2     1.5     1.5 1
-1823 11 15     2.4     1.7     1.7 1
-1823 11 16     4.5     3.8     3.8 1
-1823 11 17     4.9     4.2     4.2 1
-1823 11 18     1.9     1.2     1.2 1
-1823 11 19     0.2    -0.5    -0.5 1
-1823 11 20     3.0     2.3     2.3 1
-1823 11 21     2.0     1.3     1.3 1
-1823 11 22     4.8     4.1     4.1 1
-1823 11 23     1.1     0.4     0.4 1
-1823 11 24     7.2     6.5     6.5 1
-1823 11 25     4.1     3.4     3.4 1
-1823 11 26     4.5     3.8     3.8 1
-1823 11 27     1.0     0.3     0.3 1
-1823 11 28     7.6     6.9     6.9 1
-1823 11 29     4.0     3.3     3.3 1
-1823 11 30     7.0     6.3     6.3 1
-1823 12  1     6.1     5.4     5.4 1
-1823 12  2     5.7     5.0     5.0 1
-1823 12  3     5.9     5.2     5.2 1
-1823 12  4     4.2     3.5     3.5 1
-1823 12  5     1.1     0.4     0.4 1
-1823 12  6    -1.0    -1.7    -1.7 1
-1823 12  7    -1.3    -2.0    -2.0 1
-1823 12  8     5.6     4.9     4.9 1
-1823 12  9     1.3     0.6     0.6 1
-1823 12 10     0.0    -0.7    -0.7 1
-1823 12 11    -0.5    -1.2    -1.2 1
-1823 12 12     1.4     0.7     0.7 1
-1823 12 13    -2.1    -2.8    -2.8 1
-1823 12 14    -3.3    -4.0    -4.0 1
-1823 12 15    -7.0    -7.7    -7.7 1
-1823 12 16    -1.4    -2.1    -2.1 1
-1823 12 17     2.6     1.9     1.9 1
-1823 12 18     2.4     1.7     1.7 1
-1823 12 19     1.4     0.7     0.7 1
-1823 12 20     0.5    -0.2    -0.2 1
-1823 12 21     0.8     0.1     0.1 1
-1823 12 22     1.8     1.1     1.1 1
-1823 12 23     2.0     1.3     1.3 1
-1823 12 24     1.4     0.7     0.7 1
-1823 12 25     1.5     0.8     0.8 1
-1823 12 26     1.7     1.0     1.0 1
-1823 12 27     1.3     0.6     0.6 1
-1823 12 28     1.1     0.4     0.4 1
-1823 12 29     1.8     1.1     1.1 1
-1823 12 30     2.7     2.0     2.0 1
-1823 12 31     1.8     1.1     1.1 1
-1824  1  1     2.8     2.1     2.1 1
-1824  1  2     3.5     2.8     2.8 1
-1824  1  3     1.1     0.4     0.4 1
-1824  1  4     0.7     0.0     0.0 1
-1824  1  5     3.3     2.6     2.6 1
-1824  1  6     3.5     2.8     2.8 1
-1824  1  7     1.8     1.1     1.1 1
-1824  1  8    -0.1    -0.8    -0.8 1
-1824  1  9     5.0     4.3     4.3 1
-1824  1 10     5.8     5.1     5.1 1
-1824  1 11     2.2     1.5     1.5 1
-1824  1 12     2.5     1.8     1.8 1
-1824  1 13     1.1     0.4     0.4 1
-1824  1 14     2.0     1.3     1.3 1
-1824  1 15    -3.2    -3.9    -3.9 1
-1824  1 16    -2.4    -3.1    -3.1 1
-1824  1 17     2.2     1.5     1.5 1
-1824  1 18     0.0    -0.7    -0.7 1
-1824  1 19     2.0     1.3     1.3 1
-1824  1 20    -0.1    -0.8    -0.8 1
-1824  1 21     1.8     1.1     1.1 1
-1824  1 22     2.4     1.7     1.7 1
-1824  1 23     1.4     0.7     0.7 1
-1824  1 24     1.4     0.7     0.7 1
-1824  1 25    -0.6    -1.3    -1.3 1
-1824  1 26     4.9     4.2     4.2 1
-1824  1 27     5.7     5.0     5.0 1
-1824  1 28     3.0     2.3     2.3 1
-1824  1 29    -0.7    -1.4    -1.4 1
-1824  1 30    -3.7    -4.4    -4.4 1
-1824  1 31     0.6    -0.1    -0.1 1
-1824  2  1     1.2     0.5     0.5 1
-1824  2  2     1.7     1.0     1.0 1
-1824  2  3     2.0     1.3     1.3 1
-1824  2  4     0.8     0.1     0.1 1
-1824  2  5     0.4    -0.3    -0.3 1
-1824  2  6     1.5     0.8     0.8 1
-1824  2  7     1.2     0.5     0.5 1
-1824  2  8     3.5     2.8     2.8 1
-1824  2  9     2.2     1.5     1.5 1
-1824  2 10     1.1     0.4     0.4 1
-1824  2 11     0.3    -0.4    -0.4 1
-1824  2 12    -1.8    -2.5    -2.5 1
-1824  2 13    -1.9    -2.6    -2.6 1
-1824  2 14    -1.9    -2.6    -2.6 1
-1824  2 15     0.3    -0.4    -0.4 1
-1824  2 16     0.4    -0.3    -0.3 1
-1824  2 17    -0.2    -0.9    -0.9 1
-1824  2 18     0.8     0.1     0.1 1
-1824  2 19     0.8     0.1     0.1 1
-1824  2 20     1.4     0.7     0.7 1
-1824  2 21     1.7     1.0     1.0 1
-1824  2 22     1.3     0.6     0.6 1
-1824  2 23    -1.8    -2.5    -2.5 1
-1824  2 24    -1.3    -2.0    -2.0 1
-1824  2 25    -0.6    -1.3    -1.3 1
-1824  2 26    -1.2    -1.9    -1.9 1
-1824  2 27    -1.9    -2.6    -2.6 1
-1824  2 28    -1.2    -1.9    -1.9 1
-1824  2 29     1.9     1.2     1.2 1
-1824  3  1     0.0    -0.7    -0.7 1
-1824  3  2    -6.1    -6.8    -6.8 1
-1824  3  3    -7.5    -8.2    -8.2 1
-1824  3  4    -8.5    -9.2    -9.2 1
-1824  3  5    -2.1    -2.8    -2.8 1
-1824  3  6    -1.5    -2.2    -2.2 1
-1824  3  7    -2.4    -3.1    -3.1 1
-1824  3  8     4.4     3.7     3.7 1
-1824  3  9     5.0     4.3     4.3 1
-1824  3 10     3.9     3.2     3.2 1
-1824  3 11     2.0     1.3     1.3 1
-1824  3 12     1.3     0.6     0.6 1
-1824  3 13     0.4    -0.3    -0.3 1
-1824  3 14     1.3     0.6     0.6 1
-1824  3 15     0.7     0.0     0.0 1
-1824  3 16     1.4     0.7     0.7 1
-1824  3 17    -1.3    -2.0    -2.0 1
-1824  3 18    -0.6    -1.3    -1.3 1
-1824  3 19     1.6     0.9     0.9 1
-1824  3 20     2.3     1.6     1.6 1
-1824  3 21     1.7     1.0     1.0 1
-1824  3 22     0.7     0.0     0.0 1
-1824  3 23     0.4    -0.3    -0.3 1
-1824  3 24     0.6    -0.1    -0.1 1
-1824  3 25     1.1     0.4     0.4 1
-1824  3 26    -1.1    -1.8    -1.8 1
-1824  3 27    -3.4    -4.1    -4.1 1
-1824  3 28    -1.0    -1.7    -1.7 1
-1824  3 29     2.1     1.4     1.4 1
-1824  3 30     0.8     0.1     0.1 1
-1824  3 31     0.2    -0.5    -0.5 1
-1824  4  1     1.7     1.0     1.0 1
-1824  4  2     0.4    -0.3    -0.3 1
-1824  4  3     1.0     0.3     0.3 1
-1824  4  4     1.7     1.0     1.0 1
-1824  4  5     2.9     2.2     2.2 1
-1824  4  6     2.0     1.3     1.3 1
-1824  4  7     3.5     2.8     2.8 1
-1824  4  8     7.6     6.9     6.9 1
-1824  4  9     4.1     3.4     3.4 1
-1824  4 10     2.0     1.3     1.3 1
-1824  4 11     3.1     2.4     2.4 1
-1824  4 12     3.9     3.2     3.2 1
-1824  4 13     4.3     3.6     3.6 1
-1824  4 14     2.3     1.6     1.6 1
-1824  4 15    -0.9    -1.6    -1.6 1
-1824  4 16     1.0     0.3     0.3 1
-1824  4 17     2.5     1.8     1.8 1
-1824  4 18     3.7     3.0     3.0 1
-1824  4 19     3.1     2.4     2.4 1
-1824  4 20     4.9     4.2     4.2 1
-1824  4 21     8.0     7.3     7.3 1
-1824  4 22    11.6    10.9    10.9 1
-1824  4 23    11.8    11.1    11.1 1
-1824  4 24    10.8    10.1    10.1 1
-1824  4 25     9.3     8.6     8.6 1
-1824  4 26    10.6     9.9     9.9 1
-1824  4 27    10.0     9.3     9.3 1
-1824  4 28    11.6    10.9    10.9 1
-1824  4 29    13.7    13.0    13.0 1
-1824  4 30    16.7    16.0    16.0 1
-1824  5  1    17.9    17.2    17.2 1
-1824  5  2    14.8    14.1    14.1 1
-1824  5  3    14.0    13.3    13.3 1
-1824  5  4    14.6    13.9    13.9 1
-1824  5  5    13.1    12.4    12.3 1
-1824  5  6     7.0     6.3     6.2 1
-1824  5  7     6.3     5.6     5.5 1
-1824  5  8     8.3     7.6     7.5 1
-1824  5  9     8.0     7.3     7.2 1
-1824  5 10     7.7     7.0     6.8 1
-1824  5 11     5.7     5.0     4.8 1
-1824  5 12     6.7     6.0     5.8 1
-1824  5 13     5.2     4.5     4.3 1
-1824  5 14     8.0     7.3     7.0 1
-1824  5 15     8.4     7.7     7.4 1
-1824  5 16     7.1     6.4     6.1 1
-1824  5 17     8.9     8.2     7.9 1
-1824  5 18     9.4     8.7     8.4 1
-1824  5 19     5.5     4.8     4.4 1
-1824  5 20     7.5     6.8     6.4 1
-1824  5 21     7.8     7.1     6.7 1
-1824  5 22     9.6     8.9     8.5 1
-1824  5 23     9.0     8.3     7.8 1
-1824  5 24     9.2     8.5     8.0 1
-1824  5 25     9.3     8.6     8.1 1
-1824  5 26    12.3    11.6    11.1 1
-1824  5 27     7.7     7.0     6.5 1
-1824  5 28    11.7    11.0    10.4 1
-1824  5 29    12.5    11.8    11.2 1
-1824  5 30    11.4    10.7    10.1 1
-1824  5 31    10.9    10.2     9.6 1
-1824  6  1    11.9    11.2    10.5 1
-1824  6  2    15.1    14.4    13.7 1
-1824  6  3    18.2    17.5    16.8 1
-1824  6  4    19.9    19.2    18.5 1
-1824  6  5    16.2    15.5    14.8 1
-1824  6  6    17.9    17.2    16.5 1
-1824  6  7    16.2    15.5    14.8 1
-1824  6  8    11.4    10.7    10.0 1
-1824  6  9     9.6     8.9     8.2 1
-1824  6 10     9.0     8.3     7.6 1
-1824  6 11     9.7     9.0     8.3 1
-1824  6 12    10.8    10.1     9.4 1
-1824  6 13    10.5     9.8     9.1 1
-1824  6 14    11.7    11.0    10.3 1
-1824  6 15    12.5    11.8    11.1 1
-1824  6 16    14.7    14.0    13.3 1
-1824  6 17    14.0    13.3    12.6 1
-1824  6 18    13.7    13.0    12.3 1
-1824  6 19    13.1    12.4    11.7 1
-1824  6 20    13.9    13.2    12.5 1
-1824  6 21    14.4    13.7    13.0 1
-1824  6 22    17.0    16.3    15.6 1
-1824  6 23    16.8    16.1    15.4 1
-1824  6 24    18.0    17.3    16.6 1
-1824  6 25    21.2    20.5    19.8 1
-1824  6 26    21.1    20.4    19.7 1
-1824  6 27    19.6    18.9    18.2 1
-1824  6 28    19.4    18.7    18.0 1
-1824  6 29    17.8    17.1    16.4 1
-1824  6 30    17.5    16.8    16.1 1
-1824  7  1    21.2    20.5    19.8 1
-1824  7  2    20.7    20.0    19.3 1
-1824  7  3    19.4    18.7    18.0 1
-1824  7  4    18.3    17.6    16.9 1
-1824  7  5    17.4    16.7    16.0 1
-1824  7  6    15.5    14.8    14.1 1
-1824  7  7    15.7    15.0    14.3 1
-1824  7  8    18.1    17.4    16.7 1
-1824  7  9    19.1    18.4    17.7 1
-1824  7 10    18.6    17.9    17.2 1
-1824  7 11    17.6    16.9    16.2 1
-1824  7 12    17.6    16.9    16.2 1
-1824  7 13    17.8    17.1    16.4 1
-1824  7 14    17.2    16.5    15.8 1
-1824  7 15    16.6    15.9    15.2 1
-1824  7 16    20.6    19.9    19.2 1
-1824  7 17    18.7    18.0    17.3 1
-1824  7 18    17.1    16.4    15.7 1
-1824  7 19    14.4    13.7    13.0 1
-1824  7 20    15.6    14.9    14.2 1
-1824  7 21    12.5    11.8    11.1 1
-1824  7 22    14.3    13.6    12.9 1
-1824  7 23    18.6    17.9    17.2 1
-1824  7 24    16.7    16.0    15.3 1
-1824  7 25    16.8    16.1    15.4 1
-1824  7 26    14.6    13.9    13.2 1
-1824  7 27    16.3    15.6    14.9 1
-1824  7 28    17.9    17.2    16.5 1
-1824  7 29    18.0    17.3    16.6 1
-1824  7 30    17.5    16.8    16.1 1
-1824  7 31    17.8    17.1    16.4 1
-1824  8  1    18.7    18.0    17.4 1
-1824  8  2    17.8    17.1    16.5 1
-1824  8  3    17.6    16.9    16.3 1
-1824  8  4    17.9    17.2    16.6 1
-1824  8  5    16.1    15.4    14.9 1
-1824  8  6    15.0    14.3    13.8 1
-1824  8  7    17.2    16.5    16.0 1
-1824  8  8    17.7    17.0    16.5 1
-1824  8  9    16.8    16.1    15.6 1
-1824  8 10    17.2    16.5    16.1 1
-1824  8 11    16.3    15.6    15.2 1
-1824  8 12    17.0    16.3    15.9 1
-1824  8 13    16.8    16.1    15.7 1
-1824  8 14    16.7    16.0    15.7 1
-1824  8 15    15.6    14.9    14.6 1
-1824  8 16    17.0    16.3    16.0 1
-1824  8 17    16.0    15.3    15.0 1
-1824  8 18    16.1    15.4    15.1 1
-1824  8 19    15.2    14.5    14.3 1
-1824  8 20    15.0    14.3    14.1 1
-1824  8 21    15.7    15.0    14.8 1
-1824  8 22    15.5    14.8    14.6 1
-1824  8 23    16.0    15.3    15.2 1
-1824  8 24    14.9    14.2    14.1 1
-1824  8 25    15.7    15.0    14.9 1
-1824  8 26    15.6    14.9    14.8 1
-1824  8 27    17.7    17.0    16.9 1
-1824  8 28    19.3    18.6    18.6 1
-1824  8 29    18.7    18.0    18.0 1
-1824  8 30    19.1    18.4    18.4 1
-1824  8 31    18.6    17.9    17.9 1
-1824  9  1    18.9    18.2    18.2 1
-1824  9  2    19.1    18.4    18.4 1
-1824  9  3    17.3    16.6    16.6 1
-1824  9  4    18.2    17.5    17.5 1
-1824  9  5    19.6    18.9    18.9 1
-1824  9  6    17.3    16.6    16.6 1
-1824  9  7    17.5    16.8    16.8 1
-1824  9  8    17.3    16.6    16.6 1
-1824  9  9    14.8    14.1    14.1 1
-1824  9 10    17.9    17.2    17.2 1
-1824  9 11    14.8    14.1    14.1 1
-1824  9 12    15.6    14.9    14.9 1
-1824  9 13    16.7    16.0    16.0 1
-1824  9 14    14.5    13.8    13.8 1
-1824  9 15    16.3    15.6    15.6 1
-1824  9 16    16.2    15.5    15.5 1
-1824  9 17    14.6    13.9    13.9 1
-1824  9 18    14.4    13.7    13.7 1
-1824  9 19    15.2    14.5    14.5 1
-1824  9 20    16.5    15.8    15.8 1
-1824  9 21    15.4    14.7    14.7 1
-1824  9 22    16.2    15.5    15.5 1
-1824  9 23    16.5    15.8    15.8 1
-1824  9 24    16.7    16.0    16.0 1
-1824  9 25    16.4    15.7    15.7 1
-1824  9 26    12.1    11.4    11.4 1
-1824  9 27     8.9     8.2     8.2 1
-1824  9 28     8.3     7.6     7.6 1
-1824  9 29     8.4     7.7     7.7 1
-1824  9 30    10.1     9.4     9.4 1
-1824 10  1    12.8    12.1    12.1 1
-1824 10  2    14.3    13.6    13.6 1
-1824 10  3    13.0    12.3    12.3 1
-1824 10  4    13.3    12.6    12.6 1
-1824 10  5    12.4    11.7    11.7 1
-1824 10  6    12.4    11.7    11.7 1
-1824 10  7    13.2    12.5    12.5 1
-1824 10  8    13.0    12.3    12.3 1
-1824 10  9     6.5     5.8     5.8 1
-1824 10 10     1.0     0.3     0.3 1
-1824 10 11     1.0     0.3     0.3 1
-1824 10 12     1.8     1.1     1.1 1
-1824 10 13     2.8     2.1     2.1 1
-1824 10 14     1.9     1.2     1.2 1
-1824 10 15     2.0     1.3     1.3 1
-1824 10 16     2.8     2.1     2.1 1
-1824 10 17    -0.7    -1.4    -1.4 1
-1824 10 18    -0.5    -1.2    -1.2 1
-1824 10 19     0.1    -0.6    -0.6 1
-1824 10 20     3.4     2.7     2.7 1
-1824 10 21     1.8     1.1     1.1 1
-1824 10 22     0.9     0.2     0.2 1
-1824 10 23     5.5     4.8     4.8 1
-1824 10 24     5.8     5.1     5.1 1
-1824 10 25     7.8     7.1     7.1 1
-1824 10 26    10.4     9.7     9.7 1
-1824 10 27     8.9     8.2     8.2 1
-1824 10 28     8.2     7.5     7.5 1
-1824 10 29     6.3     5.6     5.6 1
-1824 10 30     2.3     1.6     1.6 1
-1824 10 31    -1.3    -2.0    -2.0 1
-1824 11  1    -0.8    -1.5    -1.5 1
-1824 11  2     0.8     0.1     0.1 1
-1824 11  3     4.6     3.9     3.9 1
-1824 11  4     3.7     3.0     3.0 1
-1824 11  5     2.2     1.5     1.5 1
-1824 11  6     1.9     1.2     1.2 1
-1824 11  7     1.5     0.8     0.8 1
-1824 11  8     5.1     4.4     4.4 1
-1824 11  9     6.8     6.1     6.1 1
-1824 11 10     5.6     4.9     4.9 1
-1824 11 11     4.4     3.7     3.7 1
-1824 11 12     1.7     1.0     1.0 1
-1824 11 13     0.1    -0.6    -0.6 1
-1824 11 14     3.1     2.4     2.4 1
-1824 11 15     0.6    -0.1    -0.1 1
-1824 11 16     0.0    -0.7    -0.7 1
-1824 11 17     1.2     0.5     0.5 1
-1824 11 18     7.7     7.0     7.0 1
-1824 11 19     4.0     3.3     3.3 1
-1824 11 20     3.2     2.5     2.5 1
-1824 11 21     0.0    -0.7    -0.7 1
-1824 11 22     2.5     1.8     1.8 1
-1824 11 23     2.0     1.3     1.3 1
-1824 11 24     5.0     4.3     4.3 1
-1824 11 25     3.3     2.6     2.6 1
-1824 11 26    -3.0    -3.7    -3.7 1
-1824 11 27    -6.0    -6.7    -6.7 1
-1824 11 28    -1.8    -2.5    -2.5 1
-1824 11 29     5.1     4.4     4.4 1
-1824 11 30     4.5     3.8     3.8 1
-1824 12  1     0.0    -0.7    -0.7 1
-1824 12  2     1.4     0.7     0.7 1
-1824 12  3     2.3     1.6     1.6 1
-1824 12  4     1.6     0.9     0.9 1
-1824 12  5    -1.8    -2.5    -2.5 1
-1824 12  6    -2.4    -3.1    -3.1 1
-1824 12  7     2.7     2.0     2.0 1
-1824 12  8    -0.3    -1.0    -1.0 1
-1824 12  9    -0.9    -1.6    -1.6 1
-1824 12 10    -2.3    -3.0    -3.0 1
-1824 12 11    -2.7    -3.4    -3.4 1
-1824 12 12    -3.8    -4.5    -4.5 1
-1824 12 13     1.6     0.9     0.9 1
-1824 12 14     0.1    -0.6    -0.6 1
-1824 12 15     4.3     3.6     3.6 1
-1824 12 16    -0.6    -1.3    -1.3 1
-1824 12 17    -6.3    -7.0    -7.0 1
-1824 12 18    -5.9    -6.6    -6.6 1
-1824 12 19    -1.3    -2.0    -2.0 1
-1824 12 20     1.6     0.9     0.9 1
-1824 12 21    -1.8    -2.5    -2.5 1
-1824 12 22    -0.1    -0.8    -0.8 1
-1824 12 23    -1.2    -1.9    -1.9 1
-1824 12 24    -8.6    -9.3    -9.3 1
-1824 12 25     0.6    -0.1    -0.1 1
-1824 12 26     0.6    -0.1    -0.1 1
-1824 12 27    -1.8    -2.5    -2.5 1
-1824 12 28     0.5    -0.2    -0.2 1
-1824 12 29     0.3    -0.4    -0.4 1
-1824 12 30     0.1    -0.6    -0.6 1
-1824 12 31     1.3     0.6     0.6 1
-1825  1  1     3.3     2.6     2.6 1
-1825  1  2     0.0    -0.7    -0.7 1
-1825  1  3    -2.7    -3.4    -3.4 1
-1825  1  4    -4.1    -4.8    -4.8 1
-1825  1  5    -5.5    -6.2    -6.2 1
-1825  1  6    -4.4    -5.1    -5.1 1
-1825  1  7    -2.4    -3.1    -3.1 1
-1825  1  8    -1.8    -2.5    -2.5 1
-1825  1  9    -1.8    -2.5    -2.5 1
-1825  1 10    -1.1    -1.8    -1.8 1
-1825  1 11     3.0     2.3     2.3 1
-1825  1 12    -3.8    -4.5    -4.5 1
-1825  1 13    -1.1    -1.8    -1.8 1
-1825  1 14     0.5     0.5     0.5 1
-1825  1 15     2.6     2.6     2.6 1
-1825  1 16     2.5     2.5     2.5 1
-1825  1 17     1.0     1.0     1.0 1
-1825  1 18     1.4     1.4     1.4 1
-1825  1 19     1.6     1.6     1.6 1
-1825  1 20     1.0     1.0     1.0 1
-1825  1 21     0.3     0.3     0.3 1
-1825  1 22     0.4     0.4     0.4 1
-1825  1 23    -0.2    -0.2    -0.2 1
-1825  1 24    -0.7    -0.7    -0.7 1
-1825  1 25    -1.4    -1.4    -1.4 1
-1825  1 26    -1.1    -1.1    -1.1 1
-1825  1 27     0.3     0.3     0.3 1
-1825  1 28    -0.2    -0.2    -0.2 1
-1825  1 29     1.8     1.8     1.8 1
-1825  1 30     3.8     3.8     3.8 1
-1825  1 31    -0.1    -0.1    -0.1 1
-1825  2  1    -0.1    -0.1    -0.1 1
-1825  2  2    -3.2    -3.2    -3.2 1
-1825  2  3    -1.5    -1.5    -1.5 1
-1825  2  4    -6.7    -6.7    -6.7 1
-1825  2  5    -9.3    -9.3    -9.3 1
-1825  2  6    -9.2    -9.2    -9.2 1
-1825  2  7    -8.0    -8.0    -8.0 1
-1825  2  8    -0.5    -0.5    -0.5 1
-1825  2  9    -0.1    -0.1    -0.1 1
-1825  2 10     0.9     0.9     0.9 1
-1825  2 11    -0.5    -0.5    -0.5 1
-1825  2 12     0.7     0.7     0.7 1
-1825  2 13    -0.8    -0.8    -0.8 1
-1825  2 14    -3.6    -3.6    -3.6 1
-1825  2 15    -2.5    -2.5    -2.5 1
-1825  2 16     0.8     0.8     0.8 1
-1825  2 17     0.0     0.0     0.0 1
-1825  2 18     0.9     0.9     0.9 1
-1825  2 19     1.8     1.8     1.8 1
-1825  2 20    -0.3    -0.3    -0.3 1
-1825  2 21     0.8     0.8     0.8 1
-1825  2 22    -0.9    -0.9    -0.9 1
-1825  2 23    -3.6    -3.6    -3.6 1
-1825  2 24    -4.4    -4.4    -4.4 1
-1825  2 25    -5.9    -5.9    -5.9 1
-1825  2 26    -6.3    -6.3    -6.3 1
-1825  2 27    -7.1    -7.1    -7.1 1
-1825  2 28    -6.5    -6.5    -6.5 1
-1825  3  1    -5.4    -5.4    -5.4 1
-1825  3  2    -2.6    -2.6    -2.6 1
-1825  3  3    -1.1    -1.1    -1.1 1
-1825  3  4     0.7     0.7     0.7 1
-1825  3  5    -1.7    -1.7    -1.7 1
-1825  3  6    -2.8    -2.8    -2.8 1
-1825  3  7    -2.1    -2.1    -2.1 1
-1825  3  8    -1.3    -1.3    -1.3 1
-1825  3  9    -0.8    -0.8    -0.8 1
-1825  3 10    -1.3    -1.3    -1.3 1
-1825  3 11    -0.9    -0.9    -0.9 1
-1825  3 12    -2.4    -2.4    -2.4 1
-1825  3 13    -4.4    -4.4    -4.4 1
-1825  3 14    -4.5    -4.5    -4.5 1
-1825  3 15    -4.0    -4.0    -4.0 1
-1825  3 16    -2.9    -2.9    -2.9 1
-1825  3 17    -0.7    -0.7    -0.7 1
-1825  3 18     0.2     0.2     0.2 1
-1825  3 19    -0.6    -0.6    -0.6 1
-1825  3 20    -1.5    -1.5    -1.5 1
-1825  3 21     2.5     2.5     2.5 1
-1825  3 22     5.6     5.6     5.6 1
-1825  3 23     2.8     2.8     2.8 1
-1825  3 24     2.9     2.9     2.9 1
-1825  3 25     2.2     2.2     2.2 1
-1825  3 26    -0.9    -0.9    -0.9 1
-1825  3 27     2.1     2.1     2.1 1
-1825  3 28     1.4     1.4     1.4 1
-1825  3 29     4.3     4.3     4.3 1
-1825  3 30     1.9     1.9     1.9 1
-1825  3 31     0.4     0.4     0.4 1
-1825  4  1    -1.0    -1.0    -1.0 1
-1825  4  2    -1.4    -1.4    -1.4 1
-1825  4  3    -1.9    -1.9    -1.9 1
-1825  4  4     0.4     0.4     0.4 1
-1825  4  5     2.7     2.7     2.7 1
-1825  4  6     6.0     6.0     6.0 1
-1825  4  7     5.4     5.4     5.4 1
-1825  4  8     6.0     6.0     6.0 1
-1825  4  9     8.3     8.3     8.3 1
-1825  4 10     6.7     6.7     6.7 1
-1825  4 11     8.7     8.7     8.7 1
-1825  4 12     4.5     4.5     4.5 1
-1825  4 13     3.1     3.1     3.1 1
-1825  4 14     1.5     1.5     1.5 1
-1825  4 15     2.2     2.2     2.2 1
-1825  4 16     0.9     0.9     0.9 1
-1825  4 17     0.0     0.0     0.0 1
-1825  4 18     0.0     0.0     0.0 1
-1825  4 19    -2.0    -2.0    -2.0 1
-1825  4 20    -1.5    -1.5    -1.5 1
-1825  4 21    -0.5    -0.5    -0.5 1
-1825  4 22     1.4     1.4     1.4 1
-1825  4 23     2.3     2.3     2.3 1
-1825  4 24     5.5     5.5     5.5 1
-1825  4 25     8.1     8.1     8.1 1
-1825  4 26     8.2     8.2     8.2 1
-1825  4 27     7.6     7.6     7.6 1
-1825  4 28     7.2     7.2     7.2 1
-1825  4 29     4.7     4.7     4.7 1
-1825  4 30     6.3     6.3     6.3 1
-1825  5  1     5.6     5.6     5.6 1
-1825  5  2     4.7     4.7     4.7 1
-1825  5  3     7.0     7.0     7.0 1
-1825  5  4    10.7    10.7    10.7 1
-1825  5  5     9.8     9.8     9.7 1
-1825  5  6     8.2     8.2     8.1 1
-1825  5  7    12.4    12.4    12.3 1
-1825  5  8    12.4    12.4    12.3 1
-1825  5  9    11.6    11.6    11.5 1
-1825  5 10     6.5     6.5     6.3 1
-1825  5 11     3.3     3.3     3.1 1
-1825  5 12     5.4     5.4     5.2 1
-1825  5 13     4.3     4.3     4.1 1
-1825  5 14     4.0     4.0     3.7 1
-1825  5 15     4.4     4.4     4.1 1
-1825  5 16     7.1     7.1     6.8 1
-1825  5 17     7.1     7.1     6.8 1
-1825  5 18    10.3    10.3    10.0 1
-1825  5 19    13.1    13.1    12.7 1
-1825  5 20     8.8     8.8     8.4 1
-1825  5 21     9.2     9.2     8.8 1
-1825  5 22    12.5    12.5    12.1 1
-1825  5 23    11.7    11.7    11.2 1
-1825  5 24     8.9     8.9     8.4 1
-1825  5 25     8.7     8.7     8.2 1
-1825  5 26     7.8     7.8     7.3 1
-1825  5 27    11.3    11.3    10.8 1
-1825  5 28     9.5     9.5     8.9 1
-1825  5 29     9.6     9.6     9.0 1
-1825  5 30     8.1     8.1     7.5 1
-1825  5 31     9.8     9.8     9.2 1
-1825  6  1    12.7    12.7    12.0 1
-1825  6  2    12.5    12.5    11.8 1
-1825  6  3    14.1    14.1    13.4 1
-1825  6  4    15.9    15.9    15.2 1
-1825  6  5    13.7    13.7    13.0 1
-1825  6  6    13.4    13.4    12.7 1
-1825  6  7    16.3    16.3    15.6 1
-1825  6  8    17.8    17.8    17.1 1
-1825  6  9    20.3    20.3    19.6 1
-1825  6 10    16.5    16.5    15.8 1
-1825  6 11    17.8    17.8    17.1 1
-1825  6 12    20.3    20.3    19.6 1
-1825  6 13    17.9    17.9    17.2 1
-1825  6 14    13.6    13.6    12.9 1
-1825  6 15    12.0    12.0    11.3 1
-1825  6 16    14.4    14.4    13.7 1
-1825  6 17    13.7    13.7    13.0 1
-1825  6 18    11.2    11.2    10.5 1
-1825  6 19     9.8     9.8     9.1 1
-1825  6 20    11.7    11.7    11.0 1
-1825  6 21    11.2    11.2    10.5 1
-1825  6 22    12.8    12.8    12.1 1
-1825  6 23    13.8    13.8    13.1 1
-1825  6 24    13.6    13.6    12.9 1
-1825  6 25    16.1    16.1    15.4 1
-1825  6 26    16.4    16.4    15.7 1
-1825  6 27    15.9    15.9    15.2 1
-1825  6 28    15.3    15.3    14.6 1
-1825  6 29    14.1    14.1    13.4 1
-1825  6 30    13.8    13.8    13.1 1
-1825  7  1    15.6    15.6    14.9 1
-1825  7  2    14.0    14.0    13.3 1
-1825  7  3    14.8    14.8    14.1 1
-1825  7  4    17.3    17.3    16.6 1
-1825  7  5    15.0    15.0    14.3 1
-1825  7  6    15.3    15.3    14.6 1
-1825  7  7    17.4    17.4    16.7 1
-1825  7  8    18.1    18.1    17.4 1
-1825  7  9    19.2    19.2    18.5 1
-1825  7 10    19.2    19.2    18.5 1
-1825  7 11    22.3    22.3    21.6 1
-1825  7 12    21.3    21.3    20.6 1
-1825  7 13    20.8    20.8    20.1 1
-1825  7 14    22.0    22.0    21.3 1
-1825  7 15    18.5    18.5    17.8 1
-1825  7 16    19.4    19.4    18.7 1
-1825  7 17    21.1    21.1    20.4 1
-1825  7 18    23.1    23.1    22.4 1
-1825  7 19    17.1    17.1    16.4 1
-1825  7 20    13.5    13.5    12.8 1
-1825  7 21    12.1    12.1    11.4 1
-1825  7 22    11.3    11.3    10.6 1
-1825  7 23    11.4    11.4    10.7 1
-1825  7 24    12.0    12.0    11.3 1
-1825  7 25    14.7    14.7    14.0 1
-1825  7 26    14.8    14.8    14.1 1
-1825  7 27    15.8    15.8    15.1 1
-1825  7 28    11.7    11.7    11.0 1
-1825  7 29    10.4    10.4     9.7 1
-1825  7 30     8.3     8.3     7.6 1
-1825  7 31    11.6    11.6    10.9 1
-1825  8  1    14.3    14.3    13.7 1
-1825  8  2    18.2    18.2    17.6 1
-1825  8  3    19.7    19.7    19.1 1
-1825  8  4    20.4    20.4    19.8 1
-1825  8  5    18.1    18.1    17.6 1
-1825  8  6    15.8    15.8    15.3 1
-1825  8  7    16.2    16.2    15.7 1
-1825  8  8    16.7    16.7    16.2 1
-1825  8  9    17.1    17.1    16.6 1
-1825  8 10    16.6    16.6    16.2 1
-1825  8 11    14.4    14.4    14.0 1
-1825  8 12    15.3    15.3    14.9 1
-1825  8 13    15.4    15.4    15.0 1
-1825  8 14    15.3    15.3    15.0 1
-1825  8 15    15.7    15.7    15.4 1
-1825  8 16    16.6    16.6    16.3 1
-1825  8 17    17.9    17.9    17.6 1
-1825  8 18    17.9    17.9    17.6 1
-1825  8 19    17.5    17.5    17.3 1
-1825  8 20    18.0    18.0    17.8 1
-1825  8 21    15.6    15.6    15.4 1
-1825  8 22    16.0    16.0    15.8 1
-1825  8 23    15.3    15.3    15.2 1
-1825  8 24    15.0    15.0    14.9 1
-1825  8 25    14.1    14.1    14.0 1
-1825  8 26     8.9     8.9     8.8 1
-1825  8 27    10.2    10.2    10.1 1
-1825  8 28    10.5    10.5    10.5 1
-1825  8 29    12.8    12.8    12.8 1
-1825  8 30    14.1    14.1    14.1 1
-1825  8 31    16.8    16.8    16.8 1
-1825  9  1    17.6    17.6    17.6 1
-1825  9  2    15.5    15.5    15.5 1
-1825  9  3    15.0    15.0    15.0 1
-1825  9  4    13.0    13.0    13.0 1
-1825  9  5    13.3    13.3    13.3 1
-1825  9  6    13.4    13.4    13.4 1
-1825  9  7    17.4    17.4    17.4 1
-1825  9  8    15.4    15.4    15.4 1
-1825  9  9    12.1    12.1    12.1 1
-1825  9 10    14.0    14.0    14.0 1
-1825  9 11    14.6    14.6    14.6 1
-1825  9 12    11.9    11.9    11.9 1
-1825  9 13    12.5    12.5    12.5 1
-1825  9 14    14.4    14.4    14.4 1
-1825  9 15    11.2    11.2    11.2 1
-1825  9 16    10.0    10.0    10.0 1
-1825  9 17    11.9    11.9    11.9 1
-1825  9 18    10.5    10.5    10.5 1
-1825  9 19    10.5    10.5    10.5 1
-1825  9 20    12.9    12.9    12.9 1
-1825  9 21     9.3     9.3     9.3 1
-1825  9 22    14.8    14.8    14.8 1
-1825  9 23     6.9     6.9     6.9 1
-1825  9 24     4.6     4.6     4.6 1
-1825  9 25     5.7     5.7     5.7 1
-1825  9 26     8.6     8.6     8.6 1
-1825  9 27     6.0     6.0     6.0 1
-1825  9 28     3.5     3.5     3.5 1
-1825  9 29     5.5     5.5     5.5 1
-1825  9 30     9.4     9.4     9.4 1
-1825 10  1     9.6     9.6     9.6 1
-1825 10  2     9.5     9.5     9.5 1
-1825 10  3     9.5     9.5     9.5 1
-1825 10  4     9.4     9.4     9.4 1
-1825 10  5    10.0    10.0    10.0 1
-1825 10  6    11.6    11.6    11.6 1
-1825 10  7    11.0    11.0    11.0 1
-1825 10  8    12.1    12.1    12.1 1
-1825 10  9    11.5    11.5    11.5 1
-1825 10 10    13.7    13.7    13.7 1
-1825 10 11    11.4    11.4    11.4 1
-1825 10 12     8.9     8.9     8.9 1
-1825 10 13     8.5     8.5     8.5 1
-1825 10 14    11.8    11.8    11.8 1
-1825 10 15    11.5    11.5    11.5 1
-1825 10 16     7.3     7.3     7.3 1
-1825 10 17     7.9     7.9     7.9 1
-1825 10 18     7.6     7.6     7.6 1
-1825 10 19     4.5     4.5     4.5 1
-1825 10 20     7.4     7.4     7.4 1
-1825 10 21     5.6     5.6     5.6 1
-1825 10 22     4.0     4.0     4.0 1
-1825 10 23     5.2     5.2     5.2 1
-1825 10 24     7.3     7.3     7.3 1
-1825 10 25     4.8     4.8     4.8 1
-1825 10 26     0.6     0.6     0.6 1
-1825 10 27     2.0     2.0     2.0 1
-1825 10 28     1.2     1.2     1.2 1
-1825 10 29     1.1     1.1     1.1 1
-1825 10 30     5.8     5.8     5.8 1
-1825 10 31     6.2     6.2     6.2 1
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-1825 11  2     3.5     3.5     3.5 1
-1825 11  3     1.9     1.9     1.9 1
-1825 11  4     4.2     4.2     4.2 1
-1825 11  5     1.2     1.2     1.2 1
-1825 11  6     2.8     2.8     2.8 1
-1825 11  7     4.2     4.2     4.2 1
-1825 11  8     3.9     3.9     3.9 1
-1825 11  9     4.3     4.3     4.3 1
-1825 11 10     6.1     6.1     6.1 1
-1825 11 11     7.2     7.2     7.2 1
-1825 11 12     4.9     4.9     4.9 1
-1825 11 13     2.3     2.3     2.3 1
-1825 11 14     1.2     1.2     1.2 1
-1825 11 15     1.8     1.8     1.8 1
-1825 11 16     0.5     0.5     0.5 1
-1825 11 17     0.4     0.4     0.4 1
-1825 11 18     2.7     2.7     2.7 1
-1825 11 19     2.8     2.8     2.8 1
-1825 11 20     3.5     3.5     3.5 1
-1825 11 21     2.8     2.8     2.8 1
-1825 11 22     3.7     3.7     3.7 1
-1825 11 23     2.4     2.4     2.4 1
-1825 11 24     0.0     0.0     0.0 1
-1825 11 25    -1.0    -1.0    -1.0 1
-1825 11 26     0.4     0.4     0.4 1
-1825 11 27     1.8     1.8     1.8 1
-1825 11 28    -1.8    -1.8    -1.8 1
-1825 11 29    -3.8    -3.8    -3.8 1
-1825 11 30    -4.4    -4.4    -4.4 1
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-1825 12  3    -1.3    -1.3    -1.3 1
-1825 12  4    -2.8    -2.8    -2.8 1
-1825 12  5    -4.1    -4.1    -4.1 1
-1825 12  6    -6.2    -6.2    -6.2 1
-1825 12  7    -1.1    -1.1    -1.1 1
-1825 12  8    -2.1    -2.1    -2.1 1
-1825 12  9    -0.4    -0.4    -0.4 1
-1825 12 10     0.0     0.0     0.0 1
-1825 12 11    -1.6    -1.6    -1.6 1
-1825 12 12    -1.6    -1.6    -1.6 1
-1825 12 13     1.6     1.6     1.6 1
-1825 12 14     2.4     2.4     2.4 1
-1825 12 15     2.9     2.9     2.9 1
-1825 12 16     2.0     2.0     2.0 1
-1825 12 17     3.1     3.1     3.1 1
-1825 12 18     2.0     2.0     2.0 1
-1825 12 19     2.7     2.7     2.7 1
-1825 12 20     3.2     3.2     3.2 1
-1825 12 21     3.2     3.2     3.2 1
-1825 12 22     3.3     3.3     3.3 1
-1825 12 23     2.7     2.7     2.7 1
-1825 12 24     2.6     2.6     2.6 1
-1825 12 25     2.7     2.7     2.7 1
-1825 12 26     2.5     2.5     2.5 1
-1825 12 27     1.0     1.0     1.0 1
-1825 12 28     0.7     0.7     0.7 1
-1825 12 29     0.4     0.4     0.4 1
-1825 12 30    -1.1    -1.1    -1.1 1
-1825 12 31     0.2     0.2     0.2 1
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-1826  1  2    -2.7    -2.7    -2.7 1
-1826  1  3    -2.9    -2.9    -2.9 1
-1826  1  4    -3.4    -3.4    -3.4 1
-1826  1  5    -6.7    -6.7    -6.7 1
-1826  1  6    -9.3    -9.3    -9.3 1
-1826  1  7    -8.3    -8.3    -8.3 1
-1826  1  8   -13.6   -13.6   -13.6 1
-1826  1  9   -14.1   -14.1   -14.1 1
-1826  1 10    -7.9    -7.9    -7.9 1
-1826  1 11    -7.3    -7.3    -7.3 1
-1826  1 12    -7.8    -7.8    -7.8 1
-1826  1 13    -6.4    -6.4    -6.4 1
-1826  1 14   -12.6   -12.6   -12.6 1
-1826  1 15   -15.3   -15.3   -15.3 1
-1826  1 16   -12.2   -12.2   -12.2 1
-1826  1 17   -13.4   -13.4   -13.4 1
-1826  1 18    -5.0    -5.0    -5.0 1
-1826  1 19    -2.7    -2.7    -2.7 1
-1826  1 20    -2.3    -2.3    -2.3 1
-1826  1 21    -2.7    -2.7    -2.7 1
-1826  1 22    -1.9    -1.9    -1.9 1
-1826  1 23     0.1     0.1     0.1 1
-1826  1 24    -3.4    -3.4    -3.4 1
-1826  1 25    -2.3    -2.3    -2.3 1
-1826  1 26    -2.2    -2.2    -2.2 1
-1826  1 27    -4.0    -4.0    -4.0 1
-1826  1 28    -0.3    -0.3    -0.3 1
-1826  1 29     0.4     0.4     0.4 1
-1826  1 30    -1.1    -1.1    -1.1 1
-1826  1 31    -3.4    -3.4    -3.4 1
-1826  2  1     1.7     1.7     1.7 1
-1826  2  2     1.7     1.7     1.7 1
-1826  2  3    -1.7    -1.7    -1.7 1
-1826  2  4     2.5     2.5     2.5 1
-1826  2  5     2.2     2.2     2.2 1
-1826  2  6     1.9     1.9     1.9 1
-1826  2  7     4.1     4.1     4.1 1
-1826  2  8     2.9     2.9     2.9 1
-1826  2  9    -0.1    -0.1    -0.1 1
-1826  2 10     1.0     1.0     1.0 1
-1826  2 11     0.0     0.0     0.0 1
-1826  2 12    -0.8    -0.8    -0.8 1
-1826  2 13    -1.1    -1.1    -1.1 1
-1826  2 14    -0.8    -0.8    -0.8 1
-1826  2 15    -1.1    -1.1    -1.1 1
-1826  2 16    -1.3    -1.3    -1.3 1
-1826  2 17    -0.1    -0.1    -0.1 1
-1826  2 18     0.7     0.7     0.7 1
-1826  2 19     0.5     0.5     0.5 1
-1826  2 20     0.1     0.1     0.1 1
-1826  2 21     0.6     0.6     0.6 1
-1826  2 22    -0.8    -0.8    -0.8 1
-1826  2 23     0.1     0.1     0.1 1
-1826  2 24     0.0     0.0     0.0 1
-1826  2 25    -1.8    -1.8    -1.8 1
-1826  2 26    -0.5    -0.5    -0.5 1
-1826  2 27    -0.3    -0.3    -0.3 1
-1826  2 28    -3.2    -3.2    -3.2 1
-1826  3  1     0.3     0.3     0.3 1
-1826  3  2     4.7     4.7     4.7 1
-1826  3  3     5.1     5.1     5.1 1
-1826  3  4     3.6     3.6     3.6 1
-1826  3  5     3.6     3.6     3.6 1
-1826  3  6     3.8     3.8     3.8 1
-1826  3  7     1.1     1.1     1.1 1
-1826  3  8     1.6     1.6     1.6 1
-1826  3  9     2.0     2.0     2.0 1
-1826  3 10     4.2     4.2     4.2 1
-1826  3 11     4.0     4.0     4.0 1
-1826  3 12     5.5     5.5     5.5 1
-1826  3 13     5.3     5.3     5.3 1
-1826  3 14     2.6     2.6     2.6 1
-1826  3 15     0.7     0.7     0.7 1
-1826  3 16    -1.2    -1.2    -1.2 1
-1826  3 17    -1.0    -1.0    -1.0 1
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-1826  3 19    -1.0    -1.0    -1.0 1
-1826  3 20    -0.5    -0.5    -0.5 1
-1826  3 21    -1.2    -1.2    -1.2 1
-1826  3 22    -0.9    -0.9    -0.9 1
-1826  3 23    -2.7    -2.7    -2.7 1
-1826  3 24    -2.4    -2.4    -2.4 1
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-1826  3 26    -3.0    -3.0    -3.0 1
-1826  3 27    -3.0    -3.0    -3.0 1
-1826  3 28    -0.6    -0.6    -0.6 1
-1826  3 29     1.8     1.8     1.8 1
-1826  3 30     1.0     1.0     1.0 1
-1826  3 31     1.6     1.6     1.6 1
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-1826  4  4    -0.8    -0.8    -0.8 1
-1826  4  5    -2.1    -2.1    -2.1 1
-1826  4  6     0.1     0.1     0.1 1
-1826  4  7     1.2     1.2     1.2 1
-1826  4  8     2.9     2.9     2.9 1
-1826  4  9     4.1     4.1     4.1 1
-1826  4 10     5.3     5.3     5.3 1
-1826  4 11     5.4     5.4     5.4 1
-1826  4 12     6.0     6.0     6.0 1
-1826  4 13     2.4     2.4     2.4 1
-1826  4 14     1.3     1.3     1.3 1
-1826  4 15     1.2     1.2     1.2 1
-1826  4 16     3.3     3.3     3.3 1
-1826  4 17    -0.8    -0.8    -0.8 1
-1826  4 18    -1.0    -1.0    -1.0 1
-1826  4 19     1.3     1.3     1.3 1
-1826  4 20     4.9     4.9     4.9 1
-1826  4 21     5.7     5.7     5.7 1
-1826  4 22     5.8     5.8     5.8 1
-1826  4 23     5.7     5.7     5.7 1
-1826  4 24     7.1     7.1     7.1 1
-1826  4 25     6.1     6.1     6.1 1
-1826  4 26     5.0     5.0     5.0 1
-1826  4 27     3.9     3.9     3.9 1
-1826  4 28     3.1     3.1     3.1 1
-1826  4 29     4.7     4.7     4.7 1
-1826  4 30     3.8     3.8     3.8 1
-1826  5  1     5.6     5.6     5.6 1
-1826  5  2     6.2     6.2     6.2 1
-1826  5  3     7.7     7.7     7.7 1
-1826  5  4     7.2     7.2     7.2 1
-1826  5  5     6.1     6.1     6.0 1
-1826  5  6     5.4     5.4     5.3 1
-1826  5  7     6.5     6.5     6.4 1
-1826  5  8     8.8     8.8     8.7 1
-1826  5  9    10.4    10.4    10.3 1
-1826  5 10    10.9    10.9    10.7 1
-1826  5 11    12.6    12.6    12.4 1
-1826  5 12     7.0     7.0     6.8 1
-1826  5 13     3.7     3.7     3.5 1
-1826  5 14     4.1     4.1     3.8 1
-1826  5 15     6.8     6.8     6.5 1
-1826  5 16     8.3     8.3     8.0 1
-1826  5 17     5.4     5.4     5.1 1
-1826  5 18     4.2     4.2     3.9 1
-1826  5 19     8.7     8.7     8.3 1
-1826  5 20    11.6    11.6    11.2 1
-1826  5 21    11.2    11.2    10.8 1
-1826  5 22    12.5    12.5    12.1 1
-1826  5 23    16.3    16.3    15.8 1
-1826  5 24    14.4    14.4    13.9 1
-1826  5 25    16.0    16.0    15.5 1
-1826  5 26    17.6    17.6    17.1 1
-1826  5 27    17.2    17.2    16.7 1
-1826  5 28    17.7    17.7    17.1 1
-1826  5 29    19.1    19.1    18.5 1
-1826  5 30    17.3    17.3    16.7 1
-1826  5 31    10.6    10.6    10.0 1
-1826  6  1    13.0    13.0    12.3 1
-1826  6  2    11.9    11.9    11.2 1
-1826  6  3    12.2    12.2    11.5 1
-1826  6  4    14.5    14.5    13.8 1
-1826  6  5    12.1    12.1    11.4 1
-1826  6  6    13.5    13.5    12.8 1
-1826  6  7    17.6    17.6    16.9 1
-1826  6  8    19.8    19.8    19.1 1
-1826  6  9    20.0    20.0    19.3 1
-1826  6 10    21.5    21.5    20.8 1
-1826  6 11    19.6    19.6    18.9 1
-1826  6 12    20.8    20.8    20.1 1
-1826  6 13    22.4    22.4    21.7 1
-1826  6 14    21.5    21.5    20.8 1
-1826  6 15    19.6    19.6    18.9 1
-1826  6 16    13.0    13.0    12.3 1
-1826  6 17    12.2    12.2    11.5 1
-1826  6 18    16.6    16.6    15.9 1
-1826  6 19    15.2    15.2    14.5 1
-1826  6 20    12.9    12.9    12.2 1
-1826  6 21    17.5    17.5    16.8 1
-1826  6 22    17.0    17.0    16.3 1
-1826  6 23    20.0    20.0    19.3 1
-1826  6 24    22.9    22.9    22.2 1
-1826  6 25    19.6    19.6    18.9 1
-1826  6 26    20.4    20.4    19.7 1
-1826  6 27    18.4    18.4    17.7 1
-1826  6 28    18.5    18.5    17.8 1
-1826  6 29    24.0    24.0    23.3 1
-1826  6 30    20.0    20.0    19.3 1
-1826  7  1    17.9    17.9    17.2 1
-1826  7  2    21.1    21.1    20.4 1
-1826  7  3    20.3    20.3    19.6 1
-1826  7  4    23.5    23.5    22.8 1
-1826  7  5    24.2    24.2    23.5 1
-1826  7  6    25.0    25.0    24.3 1
-1826  7  7    25.4    25.4    24.7 1
-1826  7  8    21.7    21.7    21.0 1
-1826  7  9    24.4    24.4    23.7 1
-1826  7 10    24.4    24.4    23.7 1
-1826  7 11    24.1    24.1    23.4 1
-1826  7 12    21.5    21.5    20.8 1
-1826  7 13    20.5    20.5    19.8 1
-1826  7 14    22.6    22.6    21.9 1
-1826  7 15    22.6    22.6    21.9 1
-1826  7 16    21.0    21.0    20.3 1
-1826  7 17    19.2    19.2    18.5 1
-1826  7 18    18.2    18.2    17.5 1
-1826  7 19    18.1    18.1    17.4 1
-1826  7 20    17.4    17.4    16.7 1
-1826  7 21    18.6    18.6    17.9 1
-1826  7 22    20.5    20.5    19.8 1
-1826  7 23    22.2    22.2    21.5 1
-1826  7 24    19.7    19.7    19.0 1
-1826  7 25    22.6    22.6    21.9 1
-1826  7 26    17.3    17.3    16.6 1
-1826  7 27    15.3    15.3    14.6 1
-1826  7 28    18.8    18.8    18.1 1
-1826  7 29    20.3    20.3    19.6 1
-1826  7 30    20.9    20.9    20.2 1
-1826  7 31    23.8    23.8    23.1 1
-1826  8  1    24.0    24.0    23.4 1
-1826  8  2    20.9    20.9    20.3 1
-1826  8  3    20.7    20.7    20.1 1
-1826  8  4    22.3    22.3    21.7 1
-1826  8  5    18.5    18.5    18.0 1
-1826  8  6    13.4    13.4    12.9 1
-1826  8  7    12.9    12.9    12.4 1
-1826  8  8    13.8    13.8    13.3 1
-1826  8  9    17.7    17.7    17.2 1
-1826  8 10    18.9    18.9    18.5 1
-1826  8 11    17.6    17.6    17.2 1
-1826  8 12    18.5    18.5    18.1 1
-1826  8 13    17.1    17.1    16.7 1
-1826  8 14    15.8    15.8    15.5 1
-1826  8 15    17.3    17.3    17.0 1
-1826  8 16    16.4    16.4    16.1 1
-1826  8 17    17.9    17.9    17.6 1
-1826  8 18    18.4    18.4    18.1 1
-1826  8 19    18.2    18.2    18.0 1
-1826  8 20    17.6    17.6    17.4 1
-1826  8 21    17.3    17.3    17.1 1
-1826  8 22    19.1    19.1    18.9 1
-1826  8 23    19.3    19.3    19.2 1
-1826  8 24    20.2    20.2    20.1 1
-1826  8 25    20.2    20.2    20.1 1
-1826  8 26    21.7    21.7    21.6 1
-1826  8 27    20.7    20.7    20.6 1
-1826  8 28    19.4    19.4    19.4 1
-1826  8 29    18.7    18.7    18.7 1
-1826  8 30    18.2    18.2    18.2 1
-1826  8 31    18.6    18.6    18.6 1
-1826  9  1    19.4    19.4    19.4 1
-1826  9  2    21.3    21.3    21.3 1
-1826  9  3    19.7    19.7    19.7 1
-1826  9  4    19.2    19.2    19.2 1
-1826  9  5    16.7    16.7    16.7 1
-1826  9  6    15.0    15.0    15.0 1
-1826  9  7    15.3    15.3    15.3 1
-1826  9  8    16.2    16.2    16.2 1
-1826  9  9    15.3    15.3    15.3 1
-1826  9 10    13.3    13.3    13.3 1
-1826  9 11    12.0    12.0    12.0 1
-1826  9 12    13.2    13.2    13.2 1
-1826  9 13    15.5    15.5    15.5 1
-1826  9 14    15.1    15.1    15.1 1
-1826  9 15    12.6    12.6    12.6 1
-1826  9 16    12.5    12.5    12.5 1
-1826  9 17    10.7    10.7    10.7 1
-1826  9 18     8.8     8.8     8.8 1
-1826  9 19     6.8     6.8     6.8 1
-1826  9 20     6.7     6.7     6.7 1
-1826  9 21     4.9     4.9     4.9 1
-1826  9 22     4.9     4.9     4.9 1
-1826  9 23     7.1     7.1     7.1 1
-1826  9 24     8.3     8.3     8.3 1
-1826  9 25     6.2     6.2     6.2 1
-1826  9 26     9.1     9.1     9.1 1
-1826  9 27     9.3     9.3     9.3 1
-1826  9 28    10.6    10.6    10.6 1
-1826  9 29    10.6    10.6    10.6 1
-1826  9 30    10.5    10.5    10.5 1
-1826 10  1    11.2    11.2    11.2 1
-1826 10  2    10.0    10.0    10.0 1
-1826 10  3    10.1    10.1    10.1 1
-1826 10  4    11.6    11.6    11.6 1
-1826 10  5    10.1    10.1    10.1 1
-1826 10  6     9.8     9.8     9.8 1
-1826 10  7     8.1     8.1     8.1 1
-1826 10  8    10.6    10.6    10.6 1
-1826 10  9    11.5    11.5    11.5 1
-1826 10 10    11.6    11.6    11.6 1
-1826 10 11     9.6     9.6     9.6 1
-1826 10 12     9.7     9.7     9.7 1
-1826 10 13     9.5     9.5     9.5 1
-1826 10 14     5.3     5.3     5.3 1
-1826 10 15     9.2     9.2     9.2 1
-1826 10 16     8.2     8.2     8.2 1
-1826 10 17    11.2    11.2    11.2 1
-1826 10 18     8.0     8.0     8.0 1
-1826 10 19     3.7     3.7     3.7 1
-1826 10 20     5.6     5.6     5.6 1
-1826 10 21     3.9     3.9     3.9 1
-1826 10 22     4.3     4.3     4.3 1
-1826 10 23     4.8     4.8     4.8 1
-1826 10 24     7.4     7.4     7.4 1
-1826 10 25     9.0     9.0     9.0 1
-1826 10 26     9.3     9.3     9.3 1
-1826 10 27     8.1     8.1     8.1 1
-1826 10 28     7.1     7.1     7.1 1
-1826 10 29     5.4     5.4     5.4 1
-1826 10 30     5.1     5.1     5.1 1
-1826 10 31     4.3     4.3     4.3 1
-1826 11  1     5.9     5.9     5.9 1
-1826 11  2     4.0     4.0     4.0 1
-1826 11  3     3.7     3.7     3.7 1
-1826 11  4     4.1     4.1     4.1 1
-1826 11  5     4.2     4.2     4.2 1
-1826 11  6     5.3     5.3     5.3 1
-1826 11  7     2.8     2.8     2.8 1
-1826 11  8     0.8     0.8     0.8 1
-1826 11  9    -1.5    -1.5    -1.5 1
-1826 11 10    -1.4    -1.4    -1.4 1
-1826 11 11    -5.4    -5.4    -5.4 1
-1826 11 12    -0.8    -0.8    -0.8 1
-1826 11 13    -0.6    -0.6    -0.6 1
-1826 11 14     3.2     3.2     3.2 1
-1826 11 15     3.4     3.4     3.4 1
-1826 11 16     6.0     6.0     6.0 1
-1826 11 17     4.7     4.7     4.7 1
-1826 11 18     0.6     0.6     0.6 1
-1826 11 19    -1.4    -1.4    -1.4 1
-1826 11 20    -1.0    -1.0    -1.0 1
-1826 11 21     3.5     3.5     3.5 1
-1826 11 22     3.8     3.8     3.8 1
-1826 11 23     0.9     0.9     0.9 1
-1826 11 24     3.2     3.2     3.2 1
-1826 11 25     4.2     4.2     4.2 1
-1826 11 26     2.7     2.7     2.7 1
-1826 11 27     0.7     0.7     0.7 1
-1826 11 28    -0.6    -0.6    -0.6 1
-1826 11 29    -2.8    -2.8    -2.8 1
-1826 11 30     0.2     0.2     0.2 1
-1826 12  1     2.0     2.0     2.0 1
-1826 12  2     3.7     3.7     3.7 1
-1826 12  3     4.5     4.5     4.5 1
-1826 12  4     3.8     3.8     3.8 1
-1826 12  5     0.8     0.8     0.8 1
-1826 12  6    -0.8    -0.8    -0.8 1
-1826 12  7    -4.0    -4.0    -4.0 1
-1826 12  8    -1.3    -1.3    -1.3 1
-1826 12  9     0.0     0.0     0.0 1
-1826 12 10    -0.5    -0.5    -0.5 1
-1826 12 11    -1.4    -1.4    -1.4 1
-1826 12 12     0.0     0.0     0.0 1
-1826 12 13     0.8     0.8     0.8 1
-1826 12 14     1.2     1.2     1.2 1
-1826 12 15     0.6     0.6     0.6 1
-1826 12 16     1.0     1.0     1.0 1
-1826 12 17    -1.9    -1.9    -1.9 1
-1826 12 18    -3.5    -3.5    -3.5 1
-1826 12 19    -1.2    -1.2    -1.2 1
-1826 12 20     1.7     1.7     1.7 1
-1826 12 21     0.9     0.9     0.9 1
-1826 12 22    -1.5    -1.5    -1.5 1
-1826 12 23    -2.5    -2.5    -2.5 1
-1826 12 24     2.4     2.4     2.4 1
-1826 12 25     0.5     0.5     0.5 1
-1826 12 26    -0.8    -0.8    -0.8 1
-1826 12 27    -0.9    -0.9    -0.9 1
-1826 12 28     1.2     1.2     1.2 1
-1826 12 29    -0.7    -0.7    -0.7 1
-1826 12 30    -5.6    -5.6    -5.6 1
-1826 12 31    -2.3    -2.3    -2.3 1
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-1827  1  2    -6.6    -6.6    -6.6 1
-1827  1  3    -9.4    -9.4    -9.4 1
-1827  1  4   -13.7   -13.7   -13.7 1
-1827  1  5   -11.5   -11.5   -11.5 1
-1827  1  6    -5.0    -5.0    -5.0 1
-1827  1  7     1.0     1.0     1.0 1
-1827  1  8    -0.2    -0.2    -0.2 1
-1827  1  9    -0.8    -0.8    -0.8 1
-1827  1 10    -2.6    -2.6    -2.6 1
-1827  1 11    -7.3    -7.3    -7.3 1
-1827  1 12    -7.3    -7.3    -7.3 1
-1827  1 13   -10.2   -10.2   -10.2 1
-1827  1 14    -8.1    -8.1    -8.1 1
-1827  1 15    -7.8    -7.8    -7.8 1
-1827  1 16   -10.2   -10.2   -10.2 1
-1827  1 17    -6.9    -6.9    -6.9 1
-1827  1 18    -5.4    -5.4    -5.4 1
-1827  1 19    -5.6    -5.6    -5.6 1
-1827  1 20    -3.0    -3.0    -3.0 1
-1827  1 21    -3.4    -3.4    -3.4 1
-1827  1 22    -4.8    -4.8    -4.8 1
-1827  1 23    -3.2    -3.2    -3.2 1
-1827  1 24    -2.6    -2.6    -2.6 1
-1827  1 25    -1.0    -1.0    -1.0 1
-1827  1 26    -2.6    -2.6    -2.6 1
-1827  1 27    -4.6    -4.6    -4.6 1
-1827  1 28    -6.9    -6.9    -6.9 1
-1827  1 29    -1.3    -1.3    -1.3 1
-1827  1 30    -1.3    -1.3    -1.3 1
-1827  1 31    -6.1    -6.1    -6.1 1
-1827  2  1    -6.2    -6.2    -6.2 1
-1827  2  2   -11.7   -11.7   -11.7 1
-1827  2  3    -9.1    -9.1    -9.1 1
-1827  2  4    -2.8    -2.8    -2.8 1
-1827  2  5     0.3     0.3     0.3 1
-1827  2  6    -2.7    -2.7    -2.7 1
-1827  2  7    -5.2    -5.2    -5.2 1
-1827  2  8    -2.3    -2.3    -2.3 1
-1827  2  9    -1.5    -1.5    -1.5 1
-1827  2 10    -2.8    -2.8    -2.8 1
-1827  2 11    -2.4    -2.4    -2.4 1
-1827  2 12    -7.2    -7.2    -7.2 1
-1827  2 13    -6.2    -6.2    -6.2 1
-1827  2 14    -9.0    -9.0    -9.0 1
-1827  2 15   -11.1   -11.1   -11.1 1
-1827  2 16   -16.8   -16.8   -16.8 1
-1827  2 17   -14.8   -14.8   -14.8 1
-1827  2 18   -10.5   -10.5   -10.5 1
-1827  2 19    -6.6    -6.6    -6.6 1
-1827  2 20    -4.5    -4.5    -4.5 1
-1827  2 21    -6.8    -6.8    -6.8 1
-1827  2 22   -10.6   -10.6   -10.6 1
-1827  2 23   -10.5   -10.5   -10.5 1
-1827  2 24   -14.5   -14.5   -14.5 1
-1827  2 25   -13.0   -13.0   -13.0 1
-1827  2 26    -5.6    -5.6    -5.6 1
-1827  2 27     0.9     0.9     0.9 1
-1827  2 28    -3.9    -3.9    -3.9 1
-1827  3  1    -4.8    -4.8    -4.8 1
-1827  3  2     0.7     0.7     0.7 1
-1827  3  3    -0.1    -0.1    -0.1 1
-1827  3  4     1.7     1.7     1.7 1
-1827  3  5     0.4     0.4     0.4 1
-1827  3  6    -2.3    -2.3    -2.3 1
-1827  3  7     2.0     2.0     2.0 1
-1827  3  8     1.9     1.9     1.9 1
-1827  3  9     2.3     2.3     2.3 1
-1827  3 10     0.5     0.5     0.5 1
-1827  3 11     0.5     0.5     0.5 1
-1827  3 12     0.6     0.6     0.6 1
-1827  3 13     2.7     2.7     2.7 1
-1827  3 14    -4.3    -4.3    -4.3 1
-1827  3 15    -6.7    -6.7    -6.7 1
-1827  3 16    -7.7    -7.7    -7.7 1
-1827  3 17    -7.4    -7.4    -7.4 1
-1827  3 18    -6.4    -6.4    -6.4 1
-1827  3 19    -3.8    -3.8    -3.8 1
-1827  3 20     0.5     0.5     0.5 1
-1827  3 21    -0.6    -0.6    -0.6 1
-1827  3 22     0.4     0.4     0.4 1
-1827  3 23    -2.1    -2.1    -2.1 1
-1827  3 24    -3.5    -3.5    -3.5 1
-1827  3 25    -2.2    -2.2    -2.2 1
-1827  3 26    -5.4    -5.4    -5.4 1
-1827  3 27    -5.5    -5.5    -5.5 1
-1827  3 28    -3.8    -3.8    -3.8 1
-1827  3 29     1.3     1.3     1.3 1
-1827  3 30     2.0     2.0     2.0 1
-1827  3 31     1.5     1.5     1.5 1
-1827  4  1     0.9     0.9     0.9 1
-1827  4  2     0.9     0.9     0.9 1
-1827  4  3     0.1     0.1     0.1 1
-1827  4  4     2.3     2.3     2.3 1
-1827  4  5     5.0     5.0     5.0 1
-1827  4  6     6.5     6.5     6.5 1
-1827  4  7     5.6     5.6     5.6 1
-1827  4  8     5.6     5.6     5.6 1
-1827  4  9     5.9     5.9     5.9 1
-1827  4 10     6.6     6.6     6.6 1
-1827  4 11     6.7     6.7     6.7 1
-1827  4 12     7.3     7.3     7.3 1
-1827  4 13     6.8     6.8     6.8 1
-1827  4 14     7.8     7.8     7.8 1
-1827  4 15     6.8     6.8     6.8 1
-1827  4 16     4.1     4.1     4.1 1
-1827  4 17     4.6     4.6     4.6 1
-1827  4 18     6.4     6.4     6.4 1
-1827  4 19     7.1     7.1     7.1 1
-1827  4 20     8.6     8.6     8.6 1
-1827  4 21     6.5     6.5     6.5 1
-1827  4 22     1.1     1.1     1.1 1
-1827  4 23    -0.8    -0.8    -0.8 1
-1827  4 24     0.9     0.9     0.9 1
-1827  4 25     0.4     0.4     0.4 1
-1827  4 26     5.8     5.8     5.8 1
-1827  4 27     7.1     7.1     7.1 1
-1827  4 28     7.3     7.3     7.3 1
-1827  4 29     7.5     7.5     7.5 1
-1827  4 30     4.5     4.5     4.5 1
-1827  5  1     2.3     2.3     2.3 1
-1827  5  2     6.6     6.6     6.6 1
-1827  5  3     7.7     7.7     7.7 1
-1827  5  4     5.9     5.9     5.9 1
-1827  5  5     8.7     8.7     8.6 1
-1827  5  6    11.2    11.2    11.1 1
-1827  5  7     7.8     7.8     7.7 1
-1827  5  8     1.8     1.8     1.7 1
-1827  5  9     6.4     6.4     6.3 1
-1827  5 10     6.8     6.8     6.6 1
-1827  5 11     7.5     7.5     7.3 1
-1827  5 12     7.4     7.4     7.2 1
-1827  5 13     8.2     8.2     8.0 1
-1827  5 14     8.0     8.0     7.7 1
-1827  5 15     6.9     6.9     6.6 1
-1827  5 16     9.5     9.5     9.2 1
-1827  5 17    11.0    11.0    10.7 1
-1827  5 18    15.0    15.0    14.7 1
-1827  5 19    16.7    16.7    16.3 1
-1827  5 20    16.9    16.9    16.5 1
-1827  5 21    16.0    16.0    15.6 1
-1827  5 22    15.2    15.2    14.8 1
-1827  5 23    16.3    16.3    15.8 1
-1827  5 24    16.0    16.0    15.5 1
-1827  5 25    11.5    11.5    11.0 1
-1827  5 26    13.7    13.7    13.2 1
-1827  5 27    14.4    14.4    13.9 1
-1827  5 28    12.7    12.7    12.1 1
-1827  5 29    15.8    15.8    15.2 1
-1827  5 30    16.8    16.8    16.2 1
-1827  5 31    16.5    16.5    15.9 1
-1827  6  1    18.2    18.2    17.5 1
-1827  6  2    16.8    16.8    16.1 1
-1827  6  3    14.1    14.1    13.4 1
-1827  6  4    14.5    14.5    13.8 1
-1827  6  5    14.6    14.6    13.9 1
-1827  6  6    15.2    15.2    14.5 1
-1827  6  7    15.5    15.5    14.8 1
-1827  6  8    17.1    17.1    16.4 1
-1827  6  9    17.3    17.3    16.6 1
-1827  6 10    17.0    17.0    16.3 1
-1827  6 11    19.6    19.6    18.9 1
-1827  6 12    15.4    15.4    14.7 1
-1827  6 13    18.1    18.1    17.4 1
-1827  6 14    14.1    14.1    13.4 1
-1827  6 15    15.9    15.9    15.2 1
-1827  6 16    16.9    16.9    16.2 1
-1827  6 17    17.1    17.1    16.4 1
-1827  6 18    18.7    18.7    18.0 1
-1827  6 19    20.8    20.8    20.1 1
-1827  6 20    21.2    21.2    20.5 1
-1827  6 21    21.7    21.7    21.0 1
-1827  6 22    21.3    21.3    20.6 1
-1827  6 23    20.0    20.0    19.3 1
-1827  6 24    19.9    19.9    19.2 1
-1827  6 25    15.1    15.1    14.4 1
-1827  6 26    15.0    15.0    14.3 1
-1827  6 27    20.2    20.2    19.5 1
-1827  6 28    19.0    19.0    18.3 1
-1827  6 29    17.7    17.7    17.0 1
-1827  6 30    19.6    19.6    18.9 1
-1827  7  1    18.3    18.3    17.6 1
-1827  7  2    19.1    19.1    18.4 1
-1827  7  3    17.2    17.2    16.5 1
-1827  7  4    17.6    17.6    16.9 1
-1827  7  5    15.5    15.5    14.8 1
-1827  7  6    15.6    15.6    14.9 1
-1827  7  7    15.9    15.9    15.2 1
-1827  7  8    18.0    18.0    17.3 1
-1827  7  9    18.2    18.2    17.5 1
-1827  7 10    16.4    16.4    15.7 1
-1827  7 11    12.0    12.0    11.3 1
-1827  7 12    10.9    10.9    10.2 1
-1827  7 13    13.0    13.0    12.3 1
-1827  7 14    10.4    10.4     9.7 1
-1827  7 15    11.0    11.0    10.3 1
-1827  7 16    15.1    15.1    14.4 1
-1827  7 17    17.3    17.3    16.6 1
-1827  7 18    17.6    17.6    16.9 1
-1827  7 19    18.1    18.1    17.4 1
-1827  7 20    16.1    16.1    15.4 1
-1827  7 21    16.3    16.3    15.6 1
-1827  7 22    16.4    16.4    15.7 1
-1827  7 23    16.0    16.0    15.3 1
-1827  7 24    16.2    16.2    15.5 1
-1827  7 25    18.6    18.6    17.9 1
-1827  7 26    17.7    17.7    17.0 1
-1827  7 27    16.0    16.0    15.3 1
-1827  7 28    13.6    13.6    12.9 1
-1827  7 29    13.7    13.7    13.0 1
-1827  7 30    16.8    16.8    16.1 1
-1827  7 31    17.0    17.0    16.3 1
-1827  8  1    17.7    17.7    17.1 1
-1827  8  2    17.6    17.6    17.0 1
-1827  8  3    19.1    19.1    18.5 1
-1827  8  4    18.9    18.9    18.3 1
-1827  8  5    18.7    18.7    18.2 1
-1827  8  6    14.8    14.8    14.3 1
-1827  8  7    17.6    17.6    17.1 1
-1827  8  8    19.5    19.5    19.0 1
-1827  8  9    15.1    15.1    14.6 1
-1827  8 10    16.4    16.4    16.0 1
-1827  8 11    15.2    15.2    14.8 1
-1827  8 12    16.8    16.8    16.4 1
-1827  8 13    13.8    13.8    13.4 1
-1827  8 14    13.7    13.7    13.4 1
-1827  8 15    14.7    14.7    14.4 1
-1827  8 16    15.4    15.4    15.1 1
-1827  8 17    16.6    16.6    16.3 1
-1827  8 18    16.2    16.2    15.9 1
-1827  8 19    16.1    16.1    15.9 1
-1827  8 20    17.4    17.4    17.2 1
-1827  8 21    11.8    11.8    11.6 1
-1827  8 22    11.9    11.9    11.7 1
-1827  8 23    10.4    10.4    10.3 1
-1827  8 24    11.7    11.7    11.6 1
-1827  8 25    11.5    11.5    11.4 1
-1827  8 26    11.2    11.2    11.1 1
-1827  8 27    13.0    13.0    12.9 1
-1827  8 28    11.3    11.3    11.3 1
-1827  8 29     8.3     8.3     8.3 1
-1827  8 30    10.7    10.7    10.7 1
-1827  8 31    10.5    10.5    10.5 1
-1827  9  1    15.8    15.8    15.8 1
-1827  9  2    16.0    16.0    16.0 1
-1827  9  3    14.5    14.5    14.5 1
-1827  9  4     9.1     9.1     9.1 1
-1827  9  5    10.4    10.4    10.4 1
-1827  9  6    11.1    11.1    11.1 1
-1827  9  7    11.0    11.0    11.0 1
-1827  9  8    10.2    10.2    10.2 1
-1827  9  9    11.3    11.3    11.3 1
-1827  9 10    12.0    12.0    12.0 1
-1827  9 11    14.4    14.4    14.4 1
-1827  9 12    17.4    17.4    17.4 1
-1827  9 13    15.3    15.3    15.3 1
-1827  9 14    14.1    14.1    14.1 1
-1827  9 15    13.7    13.7    13.7 1
-1827  9 16    14.6    14.6    14.6 1
-1827  9 17    15.2    15.2    15.2 1
-1827  9 18    14.2    14.2    14.2 1
-1827  9 19    12.9    12.9    12.9 1
-1827  9 20    13.0    13.0    13.0 1
-1827  9 21    10.9    10.9    10.9 1
-1827  9 22    10.5    10.5    10.5 1
-1827  9 23    13.7    13.7    13.7 1
-1827  9 24    13.1    13.1    13.1 1
-1827  9 25    14.1    14.1    14.1 1
-1827  9 26    13.3    13.3    13.3 1
-1827  9 27    14.0    14.0    14.0 1
-1827  9 28    12.6    12.6    12.6 1
-1827  9 29    13.0    13.0    13.0 1
-1827  9 30    12.6    12.6    12.6 1
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-1827 10  2    10.5    10.5    10.5 1
-1827 10  3     8.7     8.7     8.7 1
-1827 10  4     9.2     9.2     9.2 1
-1827 10  5     9.2     9.2     9.2 1
-1827 10  6     8.8     8.8     8.8 1
-1827 10  7     9.2     9.2     9.2 1
-1827 10  8    10.0    10.0    10.0 1
-1827 10  9    10.4    10.4    10.4 1
-1827 10 10    12.4    12.4    12.4 1
-1827 10 11    10.6    10.6    10.6 1
-1827 10 12    12.1    12.1    12.1 1
-1827 10 13    10.0    10.0    10.0 1
-1827 10 14     6.3     6.3     6.3 1
-1827 10 15     4.4     4.4     4.4 1
-1827 10 16    10.4    10.4    10.4 1
-1827 10 17    13.8    13.8    13.8 1
-1827 10 18    11.2    11.2    11.2 1
-1827 10 19     4.6     4.6     4.6 1
-1827 10 20     5.1     5.1     5.1 1
-1827 10 21     5.7     5.7     5.7 1
-1827 10 22     2.8     2.8     2.8 1
-1827 10 23     2.6     2.6     2.6 1
-1827 10 24     1.8     1.8     1.8 1
-1827 10 25     1.7     1.7     1.7 1
-1827 10 26     2.4     2.4     2.4 1
-1827 10 27     2.0     2.0     2.0 1
-1827 10 28    -1.4    -1.4    -1.4 1
-1827 10 29    -3.8    -3.8    -3.8 1
-1827 10 30    -1.0    -1.0    -1.0 1
-1827 10 31     1.8     1.8     1.8 1
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-1827 11  4     2.9     2.9     2.9 1
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-1827 11  7    -1.3    -1.3    -1.3 1
-1827 11  8    -0.6    -0.6    -0.6 1
-1827 11  9    -0.4    -0.4    -0.4 1
-1827 11 10    -3.0    -3.0    -3.0 1
-1827 11 11    -5.1    -5.1    -5.1 1
-1827 11 12    -1.3    -1.3    -1.3 1
-1827 11 13    -1.7    -1.7    -1.7 1
-1827 11 14     1.7     1.7     1.7 1
-1827 11 15     2.4     2.4     2.4 1
-1827 11 16     3.2     3.2     3.2 1
-1827 11 17     3.7     3.7     3.7 1
-1827 11 18     4.0     4.0     4.0 1
-1827 11 19     2.0     2.0     2.0 1
-1827 11 20     3.3     3.3     3.3 1
-1827 11 21    -1.7    -1.7    -1.7 1
-1827 11 22    -6.2    -6.2    -6.2 1
-1827 11 23    -4.9    -4.9    -4.9 1
-1827 11 24    -5.7    -5.7    -5.7 1
-1827 11 25    -7.6    -7.6    -7.6 1
-1827 11 26    -5.1    -5.1    -5.1 1
-1827 11 27    -2.3    -2.3    -2.3 1
-1827 11 28     1.0     1.0     1.0 1
-1827 11 29     2.3     2.3     2.3 1
-1827 11 30     1.1     1.1     1.1 1
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-1827 12  3    -2.0    -2.0    -2.0 1
-1827 12  4    -0.5    -0.5    -0.5 1
-1827 12  5    -0.5    -0.5    -0.5 1
-1827 12  6     0.8     0.8     0.8 1
-1827 12  7    -1.6    -1.6    -1.6 1
-1827 12  8     2.7     2.7     2.7 1
-1827 12  9     0.7     0.7     0.7 1
-1827 12 10    -1.6    -1.6    -1.6 1
-1827 12 11     3.5     3.5     3.5 1
-1827 12 12     3.2     3.2     3.2 1
-1827 12 13     2.5     2.5     2.5 1
-1827 12 14     2.3     2.3     2.3 1
-1827 12 15     3.2     3.2     3.2 1
-1827 12 16     4.7     4.7     4.7 1
-1827 12 17     4.9     4.9     4.9 1
-1827 12 18     5.3     5.3     5.3 1
-1827 12 19     2.5     2.5     2.5 1
-1827 12 20     6.2     6.2     6.2 1
-1827 12 21     3.8     3.8     3.8 1
-1827 12 22     3.1     3.1     3.1 1
-1827 12 23     1.7     1.7     1.7 1
-1827 12 24     1.2     1.2     1.2 1
-1827 12 25     2.3     2.3     2.3 1
-1827 12 26     3.2     3.2     3.2 1
-1827 12 27     6.3     6.3     6.3 1
-1827 12 28     2.8     2.8     2.8 1
-1827 12 29    -0.4    -0.4    -0.4 1
-1827 12 30     1.3     1.3     1.3 1
-1827 12 31     0.6     0.6     0.6 1
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-1828  1  2    -1.5    -1.5    -1.5 1
-1828  1  3    -2.1    -2.1    -2.1 1
-1828  1  4    -2.8    -2.8    -2.8 1
-1828  1  5    -1.4    -1.4    -1.4 1
-1828  1  6    -3.1    -3.1    -3.1 1
-1828  1  7    -4.0    -4.0    -4.0 1
-1828  1  8    -5.7    -5.7    -5.7 1
-1828  1  9    -2.7    -2.7    -2.7 1
-1828  1 10    -2.3    -2.3    -2.3 1
-1828  1 11    -3.5    -3.5    -3.5 1
-1828  1 12    -8.7    -8.7    -8.7 1
-1828  1 13   -12.4   -12.4   -12.4 1
-1828  1 14   -16.4   -16.4   -16.4 1
-1828  1 15   -13.5   -13.5   -13.5 1
-1828  1 16   -15.3   -15.3   -15.3 1
-1828  1 17   -14.1   -14.1   -14.1 1
-1828  1 18   -13.6   -13.6   -13.6 1
-1828  1 19    -5.0    -5.0    -5.0 1
-1828  1 20     2.3     2.3     2.3 1
-1828  1 21    -1.4    -1.4    -1.4 1
-1828  1 22     1.7     1.7     1.7 1
-1828  1 23    -2.7    -2.7    -2.7 1
-1828  1 24    -8.8    -8.8    -8.8 1
-1828  1 25    -2.0    -2.0    -2.0 1
-1828  1 26     2.2     2.2     2.2 1
-1828  1 27    -1.2    -1.2    -1.2 1
-1828  1 28    -2.1    -2.1    -2.1 1
-1828  1 29     0.1     0.1     0.1 1
-1828  1 30    -1.4    -1.4    -1.4 1
-1828  1 31    -3.0    -3.0    -3.0 1
-1828  2  1     0.1     0.1     0.1 1
-1828  2  2     1.5     1.5     1.5 1
-1828  2  3    -0.4    -0.4    -0.4 1
-1828  2  4    -1.6    -1.6    -1.6 1
-1828  2  5    -0.7    -0.7    -0.7 1
-1828  2  6     0.2     0.2     0.2 1
-1828  2  7    -2.5    -2.5    -2.5 1
-1828  2  8    -4.1    -4.1    -4.1 1
-1828  2  9    -4.3    -4.3    -4.3 1
-1828  2 10    -7.8    -7.8    -7.8 1
-1828  2 11    -8.9    -8.9    -8.9 1
-1828  2 12    -7.2    -7.2    -7.2 1
-1828  2 13    -7.9    -7.9    -7.9 1
-1828  2 14    -9.6    -9.6    -9.6 1
-1828  2 15    -4.8    -4.8    -4.8 1
-1828  2 16    -8.1    -8.1    -8.1 1
-1828  2 17    -9.5    -9.5    -9.5 1
-1828  2 18   -14.9   -14.9   -14.9 1
-1828  2 19    -8.6    -8.6    -8.6 1
-1828  2 20    -9.3    -9.3    -9.3 1
-1828  2 21    -6.1    -6.1    -6.1 1
-1828  2 22   -18.2   -18.2   -18.2 1
-1828  2 23   -10.9   -10.9   -10.9 1
-1828  2 24    -1.8    -1.8    -1.8 1
-1828  2 25     0.6     0.6     0.6 1
-1828  2 26     1.3     1.3     1.3 1
-1828  2 27     0.4     0.4     0.4 1
-1828  2 28     0.3     0.3     0.3 1
-1828  2 29    -7.5    -7.5    -7.5 1
-1828  3  1    -7.2    -7.2    -7.2 1
-1828  3  2    -5.2    -5.2    -5.2 1
-1828  3  3    -4.9    -4.9    -4.9 1
-1828  3  4    -9.7    -9.7    -9.7 1
-1828  3  5    -9.3    -9.3    -9.3 1
-1828  3  6   -12.1   -12.1   -12.1 1
-1828  3  7   -14.1   -14.1   -14.1 1
-1828  3  8    -5.8    -5.8    -5.8 1
-1828  3  9    -0.4    -0.4    -0.4 1
-1828  3 10     2.5     2.5     2.5 1
-1828  3 11     1.6     1.6     1.6 1
-1828  3 12    -1.0    -1.0    -1.0 1
-1828  3 13     0.6     0.6     0.6 1
-1828  3 14     0.7     0.7     0.7 1
-1828  3 15     1.7     1.7     1.7 1
-1828  3 16     0.7     0.7     0.7 1
-1828  3 17    -3.0    -3.0    -3.0 1
-1828  3 18    -4.0    -4.0    -4.0 1
-1828  3 19    -1.5    -1.5    -1.5 1
-1828  3 20    -0.3    -0.3    -0.3 1
-1828  3 21     0.8     0.8     0.8 1
-1828  3 22     0.2     0.2     0.2 1
-1828  3 23     1.5     1.5     1.5 1
-1828  3 24     2.3     2.3     2.3 1
-1828  3 25     1.6     1.6     1.6 1
-1828  3 26     0.1     0.1     0.1 1
-1828  3 27    -0.2    -0.2    -0.2 1
-1828  3 28     1.3     1.3     1.3 1
-1828  3 29     1.4     1.4     1.4 1
-1828  3 30     1.4     1.4     1.4 1
-1828  3 31     0.3     0.3     0.3 1
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-1828  4  2    -2.0    -2.0    -2.0 1
-1828  4  3    -6.1    -6.1    -6.1 1
-1828  4  4    -8.1    -8.1    -8.1 1
-1828  4  5    -6.0    -6.0    -6.0 1
-1828  4  6    -5.6    -5.6    -5.6 1
-1828  4  7    -2.1    -2.1    -2.1 1
-1828  4  8     0.3     0.3     0.3 1
-1828  4  9     0.7     0.7     0.7 1
-1828  4 10     1.9     1.9     1.9 1
-1828  4 11     0.9     0.9     0.9 1
-1828  4 12     2.0     2.0     2.0 1
-1828  4 13     2.9     2.9     2.9 1
-1828  4 14     3.4     3.4     3.4 1
-1828  4 15     4.0     4.0     4.0 1
-1828  4 16     2.9     2.9     2.9 1
-1828  4 17     3.4     3.4     3.4 1
-1828  4 18     6.6     6.6     6.6 1
-1828  4 19     5.9     5.9     5.9 1
-1828  4 20     4.2     4.2     4.2 1
-1828  4 21     3.4     3.4     3.4 1
-1828  4 22     3.1     3.1     3.1 1
-1828  4 23     5.3     5.3     5.3 1
-1828  4 24     6.3     6.3     6.3 1
-1828  4 25     7.0     7.0     7.0 1
-1828  4 26     5.1     5.1     5.1 1
-1828  4 27     7.2     7.2     7.2 1
-1828  4 28     9.3     9.3     9.3 1
-1828  4 29     9.4     9.4     9.4 1
-1828  4 30     9.7     9.7     9.7 1
-1828  5  1     6.9     6.9     6.9 1
-1828  5  2     4.2     4.2     4.2 1
-1828  5  3     4.2     4.2     4.2 1
-1828  5  4     4.6     4.6     4.6 1
-1828  5  5     5.2     5.2     5.1 1
-1828  5  6     4.7     4.7     4.6 1
-1828  5  7     4.8     4.8     4.7 1
-1828  5  8     7.0     7.0     6.9 1
-1828  5  9     9.6     9.6     9.5 1
-1828  5 10     8.9     8.9     8.7 1
-1828  5 11     9.4     9.4     9.2 1
-1828  5 12     6.4     6.4     6.2 1
-1828  5 13     8.2     8.2     8.0 1
-1828  5 14     6.8     6.8     6.5 1
-1828  5 15     6.0     6.0     5.7 1
-1828  5 16     4.7     4.7     4.4 1
-1828  5 17     5.0     5.0     4.7 1
-1828  5 18     4.7     4.7     4.4 1
-1828  5 19     6.4     6.4     6.0 1
-1828  5 20     8.3     8.3     7.9 1
-1828  5 21     8.6     8.6     8.2 1
-1828  5 22     8.7     8.7     8.3 1
-1828  5 23    11.3    11.3    10.8 1
-1828  5 24    14.9    14.9    14.4 1
-1828  5 25    13.6    13.6    13.1 1
-1828  5 26    15.7    15.7    15.2 1
-1828  5 27    16.6    16.6    16.1 1
-1828  5 28    15.6    15.6    15.0 1
-1828  5 29    16.0    16.0    15.4 1
-1828  5 30    16.0    16.0    15.4 1
-1828  5 31    16.2    16.2    15.6 1
-1828  6  1    17.2    17.2    16.5 1
-1828  6  2    15.8    15.8    15.1 1
-1828  6  3    13.8    13.8    13.1 1
-1828  6  4    14.3    14.3    13.6 1
-1828  6  5    14.5    14.5    13.8 1
-1828  6  6    14.8    14.8    14.1 1
-1828  6  7    14.6    14.6    13.9 1
-1828  6  8    14.5    14.5    13.8 1
-1828  6  9    15.0    15.0    14.3 1
-1828  6 10    14.0    14.0    13.3 1
-1828  6 11    10.9    10.9    10.2 1
-1828  6 12     9.2     9.2     8.5 1
-1828  6 13    12.2    12.2    11.5 1
-1828  6 14    11.3    11.3    10.6 1
-1828  6 15    14.4    14.4    13.7 1
-1828  6 16    13.6    13.6    12.9 1
-1828  6 17    13.6    13.6    12.9 1
-1828  6 18    16.9    16.9    16.2 1
-1828  6 19    19.0    19.0    18.3 1
-1828  6 20    20.0    20.0    19.3 1
-1828  6 21    21.4    21.4    20.7 1
-1828  6 22    19.3    19.3    18.6 1
-1828  6 23    17.9    17.9    17.2 1
-1828  6 24    15.4    15.4    14.7 1
-1828  6 25    19.8    19.8    19.1 1
-1828  6 26    22.0    22.0    21.3 1
-1828  6 27    18.3    18.3    17.6 1
-1828  6 28    19.8    19.8    19.1 1
-1828  6 29    20.8    20.8    20.1 1
-1828  6 30    21.7    21.7    21.0 1
-1828  7  1    21.6    21.6    20.9 1
-1828  7  2    21.6    21.6    20.9 1
-1828  7  3    22.2    22.2    21.5 1
-1828  7  4    21.6    21.6    20.9 1
-1828  7  5    24.8    24.8    24.1 1
-1828  7  6    21.9    21.9    21.2 1
-1828  7  7    20.3    20.3    19.6 1
-1828  7  8    20.5    20.5    19.8 1
-1828  7  9    20.0    20.0    19.3 1
-1828  7 10    20.0    20.0    19.3 1
-1828  7 11    20.8    20.8    20.1 1
-1828  7 12    17.0    17.0    16.3 1
-1828  7 13    18.8    18.8    18.1 1
-1828  7 14    17.6    17.6    16.9 1
-1828  7 15    15.1    15.1    14.4 1
-1828  7 16    15.7    15.7    15.0 1
-1828  7 17    19.3    19.3    18.6 1
-1828  7 18    17.0    17.0    16.3 1
-1828  7 19    15.8    15.8    15.1 1
-1828  7 20    16.2    16.2    15.5 1
-1828  7 21    18.4    18.4    17.7 1
-1828  7 22    19.1    19.1    18.4 1
-1828  7 23    17.8    17.8    17.1 1
-1828  7 24    18.1    18.1    17.4 1
-1828  7 25    18.8    18.8    18.1 1
-1828  7 26    18.4    18.4    17.7 1
-1828  7 27    17.3    17.3    16.6 1
-1828  7 28    15.4    15.4    14.7 1
-1828  7 29    13.6    13.6    12.9 1
-1828  7 30    14.2    14.2    13.5 1
-1828  7 31    16.0    16.0    15.3 1
-1828  8  1    15.5    15.5    14.9 1
-1828  8  2    16.8    16.8    16.2 1
-1828  8  3    19.1    19.1    18.5 1
-1828  8  4    17.5    17.5    16.9 1
-1828  8  5    17.0    17.0    16.5 1
-1828  8  6    17.2    17.2    16.7 1
-1828  8  7    15.4    15.4    14.9 1
-1828  8  8    18.8    18.8    18.3 1
-1828  8  9    17.4    17.4    16.9 1
-1828  8 10    15.9    15.9    15.5 1
-1828  8 11    15.6    15.6    15.2 1
-1828  8 12    16.2    16.2    15.8 1
-1828  8 13    16.8    16.8    16.4 1
-1828  8 14    16.6    16.6    16.3 1
-1828  8 15    16.8    16.8    16.5 1
-1828  8 16    16.3    16.3    16.0 1
-1828  8 17    14.8    14.8    14.5 1
-1828  8 18    16.7    16.7    16.4 1
-1828  8 19    17.4    17.4    17.2 1
-1828  8 20    16.2    16.2    16.0 1
-1828  8 21    16.6    16.6    16.4 1
-1828  8 22    16.0    16.0    15.8 1
-1828  8 23    15.7    15.7    15.6 1
-1828  8 24    15.4    15.4    15.3 1
-1828  8 25    15.5    15.5    15.4 1
-1828  8 26    13.7    13.7    13.6 1
-1828  8 27    14.6    14.6    14.5 1
-1828  8 28    15.6    15.6    15.6 1
-1828  8 29    16.9    16.9    16.9 1
-1828  8 30    16.4    16.4    16.4 1
-1828  8 31    10.8    10.8    10.8 1
-1828  9  1    13.1    13.1    13.1 1
-1828  9  2    13.2    13.2    13.2 1
-1828  9  3    11.2    11.2    11.2 1
-1828  9  4    11.1    11.1    11.1 1
-1828  9  5    11.1    11.1    11.1 1
-1828  9  6    12.6    12.6    12.6 1
-1828  9  7    13.5    13.5    13.5 1
-1828  9  8    13.6    13.6    13.6 1
-1828  9  9    12.7    12.7    12.7 1
-1828  9 10    13.2    13.2    13.2 1
-1828  9 11    14.7    14.7    14.7 1
-1828  9 12    15.1    15.1    15.1 1
-1828  9 13    13.7    13.7    13.7 1
-1828  9 14     5.8     5.8     5.8 1
-1828  9 15     7.2     7.2     7.2 1
-1828  9 16     9.3     9.3     9.3 1
-1828  9 17     8.7     8.7     8.7 1
-1828  9 18     9.2     9.2     9.2 1
-1828  9 19    10.0    10.0    10.0 1
-1828  9 20    12.2    12.2    12.2 1
-1828  9 21     9.7     9.7     9.7 1
-1828  9 22     6.1     6.1     6.1 1
-1828  9 23     2.8     2.8     2.8 1
-1828  9 24     4.8     4.8     4.8 1
-1828  9 25     7.0     7.0     7.0 1
-1828  9 26     6.9     6.9     6.9 1
-1828  9 27    10.7    10.7    10.7 1
-1828  9 28    10.9    10.9    10.9 1
-1828  9 29    11.2    11.2    11.2 1
-1828  9 30    12.8    12.8    12.8 1
-1828 10  1    11.8    11.8    11.8 1
-1828 10  2    10.6    10.6    10.6 1
-1828 10  3     9.4     9.4     9.4 1
-1828 10  4     7.9     7.9     7.9 1
-1828 10  5     8.2     8.2     8.2 1
-1828 10  6    10.5    10.5    10.5 1
-1828 10  7    11.3    11.3    11.3 1
-1828 10  8    10.5    10.5    10.5 1
-1828 10  9    10.7    10.7    10.7 1
-1828 10 10    10.0    10.0    10.0 1
-1828 10 11     8.5     8.5     8.5 1
-1828 10 12     9.6     9.6     9.6 1
-1828 10 13     9.2     9.2     9.2 1
-1828 10 14     2.3     2.3     2.3 1
-1828 10 15     2.7     2.7     2.7 1
-1828 10 16     6.8     6.8     6.8 1
-1828 10 17     2.6     2.6     2.6 1
-1828 10 18     3.2     3.2     3.2 1
-1828 10 19     5.5     5.5     5.5 1
-1828 10 20     5.5     5.5     5.5 1
-1828 10 21     4.5     4.5     4.5 1
-1828 10 22     6.4     6.4     6.4 1
-1828 10 23     8.3     8.3     8.3 1
-1828 10 24     8.4     8.4     8.4 1
-1828 10 25     5.7     5.7     5.7 1
-1828 10 26     3.7     3.7     3.7 1
-1828 10 27     2.5     2.5     2.5 1
-1828 10 28     2.9     2.9     2.9 1
-1828 10 29     2.9     2.9     2.9 1
-1828 10 30     2.3     2.3     2.3 1
-1828 10 31     0.5     0.5     0.5 1
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-1828 11  3     0.5     0.5     0.5 1
-1828 11  4     3.2     3.2     3.2 1
-1828 11  5     2.0     2.0     2.0 1
-1828 11  6    -0.4    -0.4    -0.4 1
-1828 11  7     0.0     0.0     0.0 1
-1828 11  8    -1.3    -1.3    -1.3 1
-1828 11  9     3.6     3.6     3.6 1
-1828 11 10     2.7     2.7     2.7 1
-1828 11 11     2.3     2.3     2.3 1
-1828 11 12     1.1     1.1     1.1 1
-1828 11 13     2.1     2.1     2.1 1
-1828 11 14     2.6     2.6     2.6 1
-1828 11 15     0.6     0.6     0.6 1
-1828 11 16     0.5     0.5     0.5 1
-1828 11 17     2.0     2.0     2.0 1
-1828 11 18    -0.7    -0.7    -0.7 1
-1828 11 19    -6.5    -6.5    -6.5 1
-1828 11 20     1.0     1.0     1.0 1
-1828 11 21     3.6     3.6     3.6 1
-1828 11 22     6.5     6.5     6.5 1
-1828 11 23     4.9     4.9     4.9 1
-1828 11 24     4.0     4.0     4.0 1
-1828 11 25     4.3     4.3     4.3 1
-1828 11 26     5.3     5.3     5.3 1
-1828 11 27     6.7     6.7     6.7 1
-1828 11 28     4.8     4.8     4.8 1
-1828 11 29    -0.6    -0.6    -0.6 1
-1828 11 30    -5.9    -5.9    -5.9 1
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-1828 12  4     3.6     3.6     3.6 1
-1828 12  5     0.3     0.3     0.3 1
-1828 12  6    -0.9    -0.9    -0.9 1
-1828 12  7    -0.3    -0.3    -0.3 1
-1828 12  8    -0.3    -0.3    -0.3 1
-1828 12  9     1.0     1.0     1.0 1
-1828 12 10     0.2     0.2     0.2 1
-1828 12 11    -0.9    -0.9    -0.9 1
-1828 12 12     2.2     2.2     2.2 1
-1828 12 13     3.2     3.2     3.2 1
-1828 12 14     0.6     0.6     0.6 1
-1828 12 15     0.0     0.0     0.0 1
-1828 12 16     0.5     0.5     0.5 1
-1828 12 17     1.0     1.0     1.0 1
-1828 12 18     3.0     3.0     3.0 1
-1828 12 19     0.0     0.0     0.0 1
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-1828 12 23   -13.2   -13.2   -13.2 1
-1828 12 24   -17.8   -17.8   -17.8 1
-1828 12 25   -15.8   -15.8   -15.8 1
-1828 12 26   -12.1   -12.1   -12.1 1
-1828 12 27    -5.8    -5.8    -5.8 1
-1828 12 28    -7.8    -7.8    -7.8 1
-1828 12 29    -9.7    -9.7    -9.7 1
-1828 12 30   -11.3   -11.3   -11.3 1
-1828 12 31    -3.8    -3.8    -3.8 1
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-1829  1  2    -2.1    -2.1    -2.1 1
-1829  1  3    -1.6    -1.6    -1.6 1
-1829  1  4    -5.3    -5.3    -5.3 1
-1829  1  5    -5.8    -5.8    -5.8 1
-1829  1  6    -4.8    -4.8    -4.8 1
-1829  1  7    -4.0    -4.0    -4.0 1
-1829  1  8    -1.2    -1.2    -1.2 1
-1829  1  9    -3.6    -3.6    -3.6 1
-1829  1 10    -3.8    -3.8    -3.8 1
-1829  1 11    -4.3    -4.3    -4.3 1
-1829  1 12    -4.5    -4.5    -4.5 1
-1829  1 13    -5.1    -5.1    -5.1 1
-1829  1 14    -4.1    -4.1    -4.1 1
-1829  1 15    -5.0    -5.0    -5.0 1
-1829  1 16    -4.8    -4.8    -4.8 1
-1829  1 17    -2.9    -2.9    -2.9 1
-1829  1 18    -2.7    -2.7    -2.7 1
-1829  1 19    -5.1    -5.1    -5.1 1
-1829  1 20   -12.3   -12.3   -12.3 1
-1829  1 21   -11.3   -11.3   -11.3 1
-1829  1 22   -11.9   -11.9   -11.9 1
-1829  1 23   -13.6   -13.6   -13.6 1
-1829  1 24   -11.9   -11.9   -11.9 1
-1829  1 25    -1.8    -1.8    -1.8 1
-1829  1 26    -3.4    -3.4    -3.4 1
-1829  1 27    -2.7    -2.7    -2.7 1
-1829  1 28    -1.4    -1.4    -1.4 1
-1829  1 29    -1.2    -1.2    -1.2 1
-1829  1 30    -4.3    -4.3    -4.3 1
-1829  1 31    -7.1    -7.1    -7.1 1
-1829  2  1   -10.8   -10.8   -10.8 1
-1829  2  2    -7.8    -7.8    -7.8 1
-1829  2  3   -10.5   -10.5   -10.5 1
-1829  2  4    -5.2    -5.2    -5.2 1
-1829  2  5    -5.8    -5.8    -5.8 1
-1829  2  6   -11.2   -11.2   -11.2 1
-1829  2  7   -10.9   -10.9   -10.9 1
-1829  2  8   -12.3   -12.3   -12.3 1
-1829  2  9   -13.0   -13.0   -13.0 1
-1829  2 10   -15.7   -15.7   -15.7 1
-1829  2 11    -9.3    -9.3    -9.3 1
-1829  2 12    -7.5    -7.5    -7.5 1
-1829  2 13    -4.6    -4.6    -4.6 1
-1829  2 14    -4.4    -4.4    -4.4 1
-1829  2 15     1.7     1.7     1.7 1
-1829  2 16    -9.4    -9.4    -9.4 1
-1829  2 17    -9.6    -9.6    -9.6 1
-1829  2 18    -8.5    -8.5    -8.5 1
-1829  2 19   -10.6   -10.6   -10.6 1
-1829  2 20   -10.1   -10.1   -10.1 1
-1829  2 21   -14.5   -14.5   -14.5 1
-1829  2 22   -18.6   -18.6   -18.6 1
-1829  2 23   -17.0   -17.0   -17.0 1
-1829  2 24   -16.0   -16.0   -16.0 1
-1829  2 25   -15.6   -15.6   -15.6 1
-1829  2 26   -11.0   -11.0   -11.0 1
-1829  2 27    -6.8    -6.8    -6.8 1
-1829  2 28    -7.0    -7.0    -7.0 1
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-1829  3  2    -2.4    -2.4    -2.4 1
-1829  3  3    -1.9    -1.9    -1.9 1
-1829  3  4    -1.0    -1.0    -1.0 1
-1829  3  5     1.2     1.2     1.2 1
-1829  3  6    -2.8    -2.8    -2.8 1
-1829  3  7    -0.8    -0.8    -0.8 1
-1829  3  8    -3.1    -3.1    -3.1 1
-1829  3  9    -4.3    -4.3    -4.3 1
-1829  3 10    -7.3    -7.3    -7.3 1
-1829  3 11    -6.0    -6.0    -6.0 1
-1829  3 12    -5.9    -5.9    -5.9 1
-1829  3 13    -7.4    -7.4    -7.4 1
-1829  3 14    -8.9    -8.9    -8.9 1
-1829  3 15    -6.9    -6.9    -6.9 1
-1829  3 16    -5.6    -5.6    -5.6 1
-1829  3 17    -1.2    -1.2    -1.2 1
-1829  3 18    -4.7    -4.7    -4.7 1
-1829  3 19    -1.8    -1.8    -1.8 1
-1829  3 20    -2.8    -2.8    -2.8 1
-1829  3 21     2.4     2.4     2.4 1
-1829  3 22    -6.8    -6.8    -6.8 1
-1829  3 23    -8.3    -8.3    -8.3 1
-1829  3 24    -3.6    -3.6    -3.6 1
-1829  3 25    -1.7    -1.7    -1.7 1
-1829  3 26    -6.0    -6.0    -6.0 1
-1829  3 27   -11.1   -11.1   -11.1 1
-1829  3 28    -8.3    -8.3    -8.3 1
-1829  3 29    -8.5    -8.5    -8.5 1
-1829  3 30    -9.8    -9.8    -9.8 1
-1829  3 31    -8.1    -8.1    -8.1 1
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-1829  4  2    -5.4    -5.4    -5.4 1
-1829  4  3    -3.7    -3.7    -3.7 1
-1829  4  4    -2.2    -2.2    -2.2 1
-1829  4  5     0.5     0.5     0.5 1
-1829  4  6    -1.5    -1.5    -1.5 1
-1829  4  7    -2.0    -2.0    -2.0 1
-1829  4  8    -5.2    -5.2    -5.2 1
-1829  4  9    -9.7    -9.7    -9.7 1
-1829  4 10    -9.4    -9.4    -9.4 1
-1829  4 11    -5.7    -5.7    -5.7 1
-1829  4 12    -6.9    -6.9    -6.9 1
-1829  4 13    -7.5    -7.5    -7.5 1
-1829  4 14    -3.8    -3.8    -3.8 1
-1829  4 15     0.3     0.3     0.3 1
-1829  4 16     1.2     1.2     1.2 1
-1829  4 17     0.5     0.5     0.5 1
-1829  4 18     0.9     0.9     0.9 1
-1829  4 19     1.9     1.9     1.9 1
-1829  4 20     1.4     1.4     1.4 1
-1829  4 21     4.2     4.2     4.2 1
-1829  4 22     2.9     2.9     2.9 1
-1829  4 23     2.3     2.3     2.3 1
-1829  4 24     2.2     2.2     2.2 1
-1829  4 25     2.6     2.6     2.6 1
-1829  4 26     2.2     2.2     2.2 1
-1829  4 27     3.7     3.7     3.7 1
-1829  4 28     4.2     4.2     4.2 1
-1829  4 29     0.9     0.9     0.9 1
-1829  4 30     1.3     1.3     1.3 1
-1829  5  1     2.6     2.6     2.6 1
-1829  5  2     2.5     2.5     2.5 1
-1829  5  3     4.6     4.6     4.6 1
-1829  5  4     5.6     5.6     5.6 1
-1829  5  5     6.9     6.9     6.8 1
-1829  5  6     6.3     6.3     6.2 1
-1829  5  7    10.6    10.6    10.5 1
-1829  5  8     7.0     7.0     6.9 1
-1829  5  9     7.9     7.9     7.8 1
-1829  5 10     7.7     7.7     7.5 1
-1829  5 11     7.0     7.0     6.8 1
-1829  5 12     6.4     6.4     6.2 1
-1829  5 13     5.6     5.6     5.4 1
-1829  5 14     6.7     6.7     6.4 1
-1829  5 15     7.8     7.8     7.5 1
-1829  5 16     8.5     8.5     8.2 1
-1829  5 17    12.2    12.2    11.9 1
-1829  5 18    12.3    12.3    12.0 1
-1829  5 19    13.4    13.4    13.0 1
-1829  5 20    14.0    14.0    13.6 1
-1829  5 21     9.0     9.0     8.6 1
-1829  5 22     9.2     9.2     8.8 1
-1829  5 23    12.7    12.7    12.2 1
-1829  5 24    13.2    13.2    12.7 1
-1829  5 25    13.7    13.7    13.2 1
-1829  5 26    13.8    13.8    13.3 1
-1829  5 27    15.6    15.6    15.1 1
-1829  5 28    18.1    18.1    17.5 1
-1829  5 29    12.1    12.1    11.5 1
-1829  5 30     5.2     5.2     4.6 1
-1829  5 31     4.8     4.8     4.2 1
-1829  6  1     5.8     5.8     5.1 1
-1829  6  2     6.7     6.7     6.0 1
-1829  6  3     3.7     3.7     3.0 1
-1829  6  4     4.5     4.5     3.8 1
-1829  6  5     5.0     5.0     4.3 1
-1829  6  6     8.0     8.0     7.3 1
-1829  6  7    11.7    11.7    11.0 1
-1829  6  8    10.8    10.8    10.1 1
-1829  6  9    12.3    12.3    11.6 1
-1829  6 10    12.2    12.2    11.5 1
-1829  6 11    14.5    14.5    13.8 1
-1829  6 12    19.4    19.4    18.7 1
-1829  6 13    16.2    16.2    15.5 1
-1829  6 14    17.1    17.1    16.4 1
-1829  6 15    19.2    19.2    18.5 1
-1829  6 16    21.6    21.6    20.9 1
-1829  6 17    18.6    18.6    17.9 1
-1829  6 18    19.0    19.0    18.3 1
-1829  6 19    20.1    20.1    19.4 1
-1829  6 20    20.5    20.5    19.8 1
-1829  6 21    21.5    21.5    20.8 1
-1829  6 22    23.2    23.2    22.5 1
-1829  6 23    24.1    24.1    23.4 1
-1829  6 24    24.0    24.0    23.3 1
-1829  6 25    20.6    20.6    19.9 1
-1829  6 26    21.2    21.2    20.5 1
-1829  6 27    17.8    17.8    17.1 1
-1829  6 28    17.9    17.9    17.2 1
-1829  6 29    17.8    17.8    17.1 1
-1829  6 30    21.6    21.6    20.9 1
-1829  7  1    19.6    19.6    18.9 1
-1829  7  2    19.4    19.4    18.7 1
-1829  7  3    20.1    20.1    19.4 1
-1829  7  4    18.1    18.1    17.4 1
-1829  7  5    17.7    17.7    17.0 1
-1829  7  6    17.6    17.6    16.9 1
-1829  7  7    16.3    16.3    15.6 1
-1829  7  8    16.5    16.5    15.8 1
-1829  7  9    17.9    17.9    17.2 1
-1829  7 10    17.5    17.5    16.8 1
-1829  7 11    18.0    18.0    17.3 1
-1829  7 12    18.4    18.4    17.7 1
-1829  7 13    18.6    18.6    17.9 1
-1829  7 14    19.8    19.8    19.1 1
-1829  7 15    18.9    18.9    18.2 1
-1829  7 16    17.6    17.6    16.9 1
-1829  7 17    13.8    13.8    13.1 1
-1829  7 18    16.5    16.5    15.8 1
-1829  7 19    16.3    16.3    15.6 1
-1829  7 20    17.2    17.2    16.5 1
-1829  7 21    17.9    17.9    17.2 1
-1829  7 22    18.9    18.9    18.2 1
-1829  7 23    19.0    19.0    18.3 1
-1829  7 24    19.0    19.0    18.3 1
-1829  7 25    18.3    18.3    17.6 1
-1829  7 26    16.8    16.8    16.1 1
-1829  7 27    15.8    15.8    15.1 1
-1829  7 28    12.6    12.6    11.9 1
-1829  7 29    16.4    16.4    15.7 1
-1829  7 30    14.9    14.9    14.2 1
-1829  7 31    17.6    17.6    16.9 1
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-1829  8  2    14.1    14.1    13.5 1
-1829  8  3    16.5    16.5    15.9 1
-1829  8  4    18.1    18.1    17.5 1
-1829  8  5    18.1    18.1    17.6 1
-1829  8  6    15.0    15.0    14.5 1
-1829  8  7    15.3    15.3    14.8 1
-1829  8  8    15.3    15.3    14.8 1
-1829  8  9    16.9    16.9    16.4 1
-1829  8 10    18.5    18.5    18.1 1
-1829  8 11    14.9    14.9    14.5 1
-1829  8 12    12.4    12.4    12.0 1
-1829  8 13    13.5    13.5    13.1 1
-1829  8 14    11.3    11.3    11.0 1
-1829  8 15     9.9     9.9     9.6 1
-1829  8 16    10.8    10.8    10.5 1
-1829  8 17    10.7    10.7    10.4 1
-1829  8 18    12.2    12.2    11.9 1
-1829  8 19    12.8    12.8    12.6 1
-1829  8 20    13.4    13.4    13.2 1
-1829  8 21     9.8     9.8     9.6 1
-1829  8 22    13.1    13.1    12.9 1
-1829  8 23    14.7    14.7    14.6 1
-1829  8 24    15.5    15.5    15.4 1
-1829  8 25    14.4    14.4    14.3 1
-1829  8 26    13.7    13.7    13.6 1
-1829  8 27    12.9    12.9    12.8 1
-1829  8 28    14.1    14.1    14.1 1
-1829  8 29    14.7    14.7    14.7 1
-1829  8 30    11.7    11.7    11.7 1
-1829  8 31    15.3    15.3    15.3 1
-1829  9  1    15.1    15.1    15.1 1
-1829  9  2    14.3    14.3    14.3 1
-1829  9  3    13.2    13.2    13.2 1
-1829  9  4    10.8    10.8    10.8 1
-1829  9  5    10.4    10.4    10.4 1
-1829  9  6    11.4    11.4    11.4 1
-1829  9  7    12.1    12.1    12.1 1
-1829  9  8    12.1    12.1    12.1 1
-1829  9  9     9.8     9.8     9.8 1
-1829  9 10    10.1    10.1    10.1 1
-1829  9 11    10.5    10.5    10.5 1
-1829  9 12    13.4    13.4    13.4 1
-1829  9 13    12.4    12.4    12.4 1
-1829  9 14    11.0    11.0    11.0 1
-1829  9 15    13.1    13.1    13.1 1
-1829  9 16    11.2    11.2    11.2 1
-1829  9 17    10.7    10.7    10.7 1
-1829  9 18    10.7    10.7    10.7 1
-1829  9 19    10.7    10.7    10.7 1
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-1829  9 28     8.8     8.8     8.8 1
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-1830  1 14    -7.9    -7.9    -7.9 1
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-1830  1 20    -4.7    -4.7    -4.7 1
-1830  1 21    -4.6    -4.6    -4.6 1
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-1830  1 26    -5.6    -5.6    -5.6 1
-1830  1 27    -3.7    -3.7    -3.7 1
-1830  1 28    -5.2    -5.2    -5.2 1
-1830  1 29   -10.8   -10.8   -10.8 1
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-1830  2 24   -14.2   -14.2   -14.2 1
-1830  2 25    -6.8    -6.8    -6.8 1
-1830  2 26     1.3     1.3     1.3 1
-1830  2 27     1.3     1.3     1.3 1
-1830  2 28    -0.9    -0.9    -0.9 1
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-1830  3  3    -0.8    -0.8    -0.8 1
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-1830  3  7     0.0     0.0     0.0 1
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-1830  3 11     0.2     0.2     0.2 1
-1830  3 12    -1.4    -1.4    -1.4 1
-1830  3 13     0.8     0.8     0.8 1
-1830  3 14    -0.9    -0.9    -0.9 1
-1830  3 15     2.4     2.4     2.4 1
-1830  3 16     2.7     2.7     2.7 1
-1830  3 17     0.4     0.4     0.4 1
-1830  3 18     2.2     2.2     2.2 1
-1830  3 19     3.6     3.6     3.6 1
-1830  3 20     2.3     2.3     2.3 1
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-1830  3 23     0.1     0.1     0.1 1
-1830  3 24     1.7     1.7     1.7 1
-1830  3 25     1.5     1.5     1.5 1
-1830  3 26     0.1     0.1     0.1 1
-1830  3 27     2.5     2.5     2.5 1
-1830  3 28     2.9     2.9     2.9 1
-1830  3 29     6.9     6.9     6.9 1
-1830  3 30     3.9     3.9     3.9 1
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-1830  4 21     2.9     2.9     2.9 1
-1830  4 22     5.6     5.6     5.6 1
-1830  4 23     3.3     3.3     3.3 1
-1830  4 24     7.1     7.1     7.1 1
-1830  4 25     7.7     7.7     7.7 1
-1830  4 26     6.8     6.8     6.8 1
-1830  4 27     6.3     6.3     6.3 1
-1830  4 28     5.2     5.2     5.2 1
-1830  4 29     8.3     8.3     8.3 1
-1830  4 30    10.2    10.2    10.2 1
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-1830  5  3     5.3     5.3     5.3 1
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-1830  5  7     7.6     7.6     7.5 1
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-1830  5  9     0.6     0.6     0.5 1
-1830  5 10     3.6     3.6     3.4 1
-1830  5 11     6.6     6.6     6.4 1
-1830  5 12     7.4     7.4     7.2 1
-1830  5 13     7.7     7.7     7.5 1
-1830  5 14     6.6     6.6     6.3 1
-1830  5 15    10.2    10.2     9.9 1
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-1830  5 26    10.0    10.0     9.5 1
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-1830  5 28     7.9     7.9     7.3 1
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-1830  5 31     7.0     7.0     6.4 1
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-1830  6  8    13.0    13.0    12.3 1
-1830  6  9    12.0    12.0    11.3 1
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-1830  6 14    14.5    14.5    13.8 1
-1830  6 15    13.9    13.9    13.2 1
-1830  6 16    11.6    11.6    10.9 1
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-1830  6 25    14.0    14.0    13.3 1
-1830  6 26    12.3    12.3    11.6 1
-1830  6 27    14.4    14.4    13.7 1
-1830  6 28    14.2    14.2    13.5 1
-1830  6 29    16.0    16.0    15.3 1
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-1830  7  2    16.2    16.2    15.5 1
-1830  7  3    15.5    15.5    14.8 1
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-1830  7  7    16.6    16.6    15.9 1
-1830  7  8    16.6    16.6    15.9 1
-1830  7  9    18.3    18.3    17.6 1
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-1830  8 29    12.6    12.6    12.6 1
-1830  8 30    12.7    12.7    12.7 1
-1830  8 31     9.4     9.4     9.4 1
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-1830  9  3     9.0     9.0     9.0 1
-1830  9  4     9.1     9.1     9.1 1
-1830  9  5     9.3     9.3     9.3 1
-1830  9  6     9.1     9.1     9.1 1
-1830  9  7     7.7     7.7     7.7 1
-1830  9  8     9.9     9.9     9.9 1
-1830  9  9     9.0     9.0     9.0 1
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-1830  9 11     9.6     9.6     9.6 1
-1830  9 12     9.9     9.9     9.9 1
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-1830  9 14     9.0     9.0     9.0 1
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-1830  9 17     9.5     9.5     9.5 1
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-1830  9 20    11.6    11.6    11.6 1
-1830  9 21    12.4    12.4    12.4 1
-1830  9 22    13.5    13.5    13.5 1
-1830  9 23    13.1    13.1    13.1 1
-1830  9 24    11.8    11.8    11.8 1
-1830  9 25    10.8    10.8    10.8 1
-1830  9 26    10.9    10.9    10.9 1
-1830  9 27    11.3    11.3    11.3 1
-1830  9 28     9.8     9.8     9.8 1
-1830  9 29    10.7    10.7    10.7 1
-1830  9 30     9.0     9.0     9.0 1
-1830 10  1    10.2    10.2    10.2 1
-1830 10  2    10.3    10.3    10.3 1
-1830 10  3    10.5    10.5    10.5 1
-1830 10  4    10.9    10.9    10.9 1
-1830 10  5     8.6     8.6     8.6 1
-1830 10  6     7.7     7.7     7.7 1
-1830 10  7     7.1     7.1     7.1 1
-1830 10  8     6.4     6.4     6.4 1
-1830 10  9     7.3     7.3     7.3 1
-1830 10 10     4.2     4.2     4.2 1
-1830 10 11     5.8     5.8     5.8 1
-1830 10 12     2.7     2.7     2.7 1
-1830 10 13     3.2     3.2     3.2 1
-1830 10 14     7.1     7.1     7.1 1
-1830 10 15     6.7     6.7     6.7 1
-1830 10 16     5.2     5.2     5.2 1
-1830 10 17     7.7     7.7     7.7 1
-1830 10 18     6.4     6.4     6.4 1
-1830 10 19     7.2     7.2     7.2 1
-1830 10 20     9.0     9.0     9.0 1
-1830 10 21    13.6    13.6    13.6 1
-1830 10 22    11.7    11.7    11.7 1
-1830 10 23     6.2     6.2     6.2 1
-1830 10 24     5.0     5.0     5.0 1
-1830 10 25     9.7     9.7     9.7 1
-1830 10 26     3.7     3.7     3.7 1
-1830 10 27     1.5     1.5     1.5 1
-1830 10 28     1.3     1.3     1.3 1
-1830 10 29     1.1     1.1     1.1 1
-1830 10 30    -2.5    -2.5    -2.5 1
-1830 10 31    -0.5    -0.5    -0.5 1
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-1830 11  2    -1.5    -1.5    -1.5 1
-1830 11  3    -0.3    -0.3    -0.3 1
-1830 11  4     5.6     5.6     5.6 1
-1830 11  5     6.3     6.3     6.3 1
-1830 11  6     6.3     6.3     6.3 1
-1830 11  7     7.9     7.9     7.9 1
-1830 11  8     7.6     7.6     7.6 1
-1830 11  9     3.9     3.9     3.9 1
-1830 11 10     3.6     3.6     3.6 1
-1830 11 11     5.5     5.5     5.5 1
-1830 11 12     6.0     6.0     6.0 1
-1830 11 13     4.5     4.5     4.5 1
-1830 11 14     4.3     4.3     4.3 1
-1830 11 15     5.8     5.8     5.8 1
-1830 11 16     5.4     5.4     5.4 1
-1830 11 17     6.5     6.5     6.5 1
-1830 11 18     4.7     4.7     4.7 1
-1830 11 19     1.5     1.5     1.5 1
-1830 11 20    -0.4    -0.4    -0.4 1
-1830 11 21     1.7     1.7     1.7 1
-1830 11 22     2.3     2.3     2.3 1
-1830 11 23     3.6     3.6     3.6 1
-1830 11 24     2.4     2.4     2.4 1
-1830 11 25     0.6     0.6     0.6 1
-1830 11 26    -1.5    -1.5    -1.5 1
-1830 11 27    -0.2    -0.2    -0.2 1
-1830 11 28    -1.0    -1.0    -1.0 1
-1830 11 29     0.1     0.1     0.1 1
-1830 11 30     0.0     0.0     0.0 1
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-1830 12  2    -0.6    -0.6    -0.6 1
-1830 12  3    -0.4    -0.4    -0.4 1
-1830 12  4    -0.2    -0.2    -0.2 1
-1830 12  5    -3.0    -3.0    -3.0 1
-1830 12  6    -4.4    -4.4    -4.4 1
-1830 12  7    -3.5    -3.5    -3.5 1
-1830 12  8    -2.0    -2.0    -2.0 1
-1830 12  9     0.8     0.8     0.8 1
-1830 12 10     2.1     2.1     2.1 1
-1830 12 11     3.5     3.5     3.5 1
-1830 12 12     2.8     2.8     2.8 1
-1830 12 13    -5.2    -5.2    -5.2 1
-1830 12 14    -5.3    -5.3    -5.3 1
-1830 12 15    -4.0    -4.0    -4.0 1
-1830 12 16    -2.4    -2.4    -2.4 1
-1830 12 17    -2.2    -2.2    -2.2 1
-1830 12 18    -8.4    -8.4    -8.4 1
-1830 12 19    -5.5    -5.5    -5.5 1
-1830 12 20    -1.4    -1.4    -1.4 1
-1830 12 21    -4.5    -4.5    -4.5 1
-1830 12 22    -0.3    -0.3    -0.3 1
-1830 12 23    -0.7    -0.7    -0.7 1
-1830 12 24    -8.3    -8.3    -8.3 1
-1830 12 25    -4.9    -4.9    -4.9 1
-1830 12 26    -2.7    -2.7    -2.7 1
-1830 12 27    -7.9    -7.9    -7.9 1
-1830 12 28    -3.4    -3.4    -3.4 1
-1830 12 29    -6.3    -6.3    -6.3 1
-1830 12 30    -8.4    -8.4    -8.4 1
-1830 12 31    -6.9    -6.9    -6.9 1
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-1831  1  3    -1.1    -1.1    -1.1 1
-1831  1  4     0.1     0.1     0.1 1
-1831  1  5    -5.7    -5.7    -5.7 1
-1831  1  6   -11.4   -11.4   -11.4 1
-1831  1  7    -8.0    -8.0    -8.0 1
-1831  1  8    -3.5    -3.5    -3.5 1
-1831  1  9    -5.1    -5.1    -5.1 1
-1831  1 10   -10.4   -10.4   -10.4 1
-1831  1 11    -5.0    -5.0    -5.0 1
-1831  1 12    -7.1    -7.1    -7.1 1
-1831  1 13    -8.1    -8.1    -8.1 1
-1831  1 14    -3.5    -3.5    -3.5 1
-1831  1 15    -9.9    -9.9    -9.9 1
-1831  1 16    -5.1    -5.1    -5.1 1
-1831  1 17    -5.0    -5.0    -5.0 1
-1831  1 18   -10.6   -10.6   -10.6 1
-1831  1 19   -12.0   -12.0   -12.0 1
-1831  1 20    -9.9    -9.9    -9.9 1
-1831  1 21    -9.6    -9.6    -9.6 1
-1831  1 22    -8.0    -8.0    -8.0 1
-1831  1 23   -11.2   -11.2   -11.2 1
-1831  1 24   -15.8   -15.8   -15.8 1
-1831  1 25   -10.9   -10.9   -10.9 1
-1831  1 26    -9.9    -9.9    -9.9 1
-1831  1 27   -16.8   -16.8   -16.8 1
-1831  1 28   -16.5   -16.5   -16.5 1
-1831  1 29   -11.0   -11.0   -11.0 1
-1831  1 30   -14.2   -14.2   -14.2 1
-1831  1 31   -15.1   -15.1   -15.1 1
-1831  2  1   -13.4   -13.4   -13.4 1
-1831  2  2   -15.0   -15.0   -15.0 1
-1831  2  3   -11.9   -11.9   -11.9 1
-1831  2  4    -7.0    -7.0    -7.0 1
-1831  2  5    -1.5    -1.5    -1.5 1
-1831  2  6    -2.1    -2.1    -2.1 1
-1831  2  7   -10.3   -10.3   -10.3 1
-1831  2  8    -0.2    -0.2    -0.2 1
-1831  2  9     2.2     2.2     2.2 1
-1831  2 10     2.4     2.4     2.4 1
-1831  2 11     1.5     1.5     1.5 1
-1831  2 12    -0.3    -0.3    -0.3 1
-1831  2 13    -4.7    -4.7    -4.7 1
-1831  2 14    -4.1    -4.1    -4.1 1
-1831  2 15    -0.3    -0.3    -0.3 1
-1831  2 16    -1.3    -1.3    -1.3 1
-1831  2 17    -0.2    -0.2    -0.2 1
-1831  2 18     0.4     0.4     0.4 1
-1831  2 19    -0.5    -0.5    -0.5 1
-1831  2 20    -4.9    -4.9    -4.9 1
-1831  2 21    -6.6    -6.6    -6.6 1
-1831  2 22    -6.8    -6.8    -6.8 1
-1831  2 23    -4.0    -4.0    -4.0 1
-1831  2 24    -5.2    -5.2    -5.2 1
-1831  2 25    -6.8    -6.8    -6.8 1
-1831  2 26    -3.2    -3.2    -3.2 1
-1831  2 27    -1.6    -1.6    -1.6 1
-1831  2 28    -0.8    -0.8    -0.8 1
-1831  3  1    -3.4    -3.4    -3.4 1
-1831  3  2    -8.1    -8.1    -8.1 1
-1831  3  3    -5.6    -5.6    -5.6 1
-1831  3  4    -3.8    -3.8    -3.8 1
-1831  3  5    -5.3    -5.3    -5.3 1
-1831  3  6    -4.1    -4.1    -4.1 1
-1831  3  7    -3.1    -3.1    -3.1 1
-1831  3  8    -3.4    -3.4    -3.4 1
-1831  3  9    -7.2    -7.2    -7.2 1
-1831  3 10    -8.0    -8.0    -8.0 1
-1831  3 11   -10.3   -10.3   -10.3 1
-1831  3 12   -11.7   -11.7   -11.7 1
-1831  3 13    -8.9    -8.9    -8.9 1
-1831  3 14    -3.9    -3.9    -3.9 1
-1831  3 15     0.6     0.6     0.6 1
-1831  3 16    -3.2    -3.2    -3.2 1
-1831  3 17    -2.3    -2.3    -2.3 1
-1831  3 18    -2.5    -2.5    -2.5 1
-1831  3 19    -2.6    -2.6    -2.6 1
-1831  3 20    -1.7    -1.7    -1.7 1
-1831  3 21    -3.3    -3.3    -3.3 1
-1831  3 22    -7.0    -7.0    -7.0 1
-1831  3 23    -5.0    -5.0    -5.0 1
-1831  3 24    -3.2    -3.2    -3.2 1
-1831  3 25    -2.7    -2.7    -2.7 1
-1831  3 26    -1.5    -1.5    -1.5 1
-1831  3 27    -1.3    -1.3    -1.3 1
-1831  3 28    -1.0    -1.0    -1.0 1
-1831  3 29    -1.7    -1.7    -1.7 1
-1831  3 30    -0.8    -0.8    -0.8 1
-1831  3 31     1.0     1.0     1.0 1
-1831  4  1     0.6     0.6     0.6 1
-1831  4  2     1.6     1.6     1.6 1
-1831  4  3    -1.6    -1.6    -1.6 1
-1831  4  4     0.0     0.0     0.0 1
-1831  4  5    -1.1    -1.1    -1.1 1
-1831  4  6    -1.8    -1.8    -1.8 1
-1831  4  7    -2.4    -2.4    -2.4 1
-1831  4  8     0.8     0.8     0.8 1
-1831  4  9     5.0     5.0     5.0 1
-1831  4 10     6.9     6.9     6.9 1
-1831  4 11     7.0     7.0     7.0 1
-1831  4 12     6.6     6.6     6.6 1
-1831  4 13     4.8     4.8     4.8 1
-1831  4 14     5.7     5.7     5.7 1
-1831  4 15     4.0     4.0     4.0 1
-1831  4 16     3.0     3.0     3.0 1
-1831  4 17     4.8     4.8     4.8 1
-1831  4 18     7.0     7.0     7.0 1
-1831  4 19     9.4     9.4     9.4 1
-1831  4 20     4.7     4.7     4.7 1
-1831  4 21     4.5     4.5     4.5 1
-1831  4 22     6.2     6.2     6.2 1
-1831  4 23     2.6     2.6     2.6 1
-1831  4 24     3.8     3.8     3.8 1
-1831  4 25     6.2     6.2     6.2 1
-1831  4 26     8.6     8.6     8.6 1
-1831  4 27     8.3     8.3     8.3 1
-1831  4 28     7.3     7.3     7.3 1
-1831  4 29     4.4     4.4     4.4 1
-1831  4 30     3.9     3.9     3.9 1
-1831  5  1     5.6     5.6     5.6 1
-1831  5  2     6.1     6.1     6.1 1
-1831  5  3     7.5     7.5     7.5 1
-1831  5  4     5.3     5.3     5.3 1
-1831  5  5     7.0     7.0     6.9 1
-1831  5  6     6.4     6.4     6.3 1
-1831  5  7     5.0     5.0     4.9 1
-1831  5  8     4.8     4.8     4.7 1
-1831  5  9     3.9     3.9     3.8 1
-1831  5 10     2.8     2.8     2.6 1
-1831  5 11     7.7     7.7     7.5 1
-1831  5 12     2.6     2.6     2.4 1
-1831  5 13     2.1     2.1     1.9 1
-1831  5 14     1.3     1.3     1.0 1
-1831  5 15     5.6     5.6     5.3 1
-1831  5 16     6.9     6.9     6.6 1
-1831  5 17    11.3    11.3    11.0 1
-1831  5 18    14.5    14.5    14.2 1
-1831  5 19    13.4    13.4    13.0 1
-1831  5 20    12.2    12.2    11.8 1
-1831  5 21    11.4    11.4    11.0 1
-1831  5 22    13.2    13.2    12.8 1
-1831  5 23    15.1    15.1    14.6 1
-1831  5 24    16.0    16.0    15.5 1
-1831  5 25    17.9    17.9    17.4 1
-1831  5 26    11.1    11.1    10.6 1
-1831  5 27     8.7     8.7     8.2 1
-1831  5 28     7.5     7.5     6.9 1
-1831  5 29     8.8     8.8     8.2 1
-1831  5 30     9.6     9.6     9.0 1
-1831  5 31    11.4    11.4    10.8 1
-1831  6  1    14.3    14.3    13.6 1
-1831  6  2    15.3    15.3    14.6 1
-1831  6  3    11.5    11.5    10.8 1
-1831  6  4    10.8    10.8    10.1 1
-1831  6  5    11.7    11.7    11.0 1
-1831  6  6    14.0    14.0    13.3 1
-1831  6  7    10.5    10.5     9.8 1
-1831  6  8     9.0     9.0     8.3 1
-1831  6  9     8.1     8.1     7.4 1
-1831  6 10     9.9     9.9     9.2 1
-1831  6 11     7.3     7.3     6.6 1
-1831  6 12     8.2     8.2     7.5 1
-1831  6 13    10.2    10.2     9.5 1
-1831  6 14    15.7    15.7    15.0 1
-1831  6 15    19.5    19.5    18.8 1
-1831  6 16    18.3    18.3    17.6 1
-1831  6 17    17.0    17.0    16.3 1
-1831  6 18    19.5    19.5    18.8 1
-1831  6 19    20.5    20.5    19.8 1
-1831  6 20    22.2    22.2    21.5 1
-1831  6 21    20.5    20.5    19.8 1
-1831  6 22    18.8    18.8    18.1 1
-1831  6 23    17.8    17.8    17.1 1
-1831  6 24    15.7    15.7    15.0 1
-1831  6 25    17.0    17.0    16.3 1
-1831  6 26    16.5    16.5    15.8 1
-1831  6 27    16.8    16.8    16.1 1
-1831  6 28    19.0    19.0    18.3 1
-1831  6 29    15.5    15.5    14.8 1
-1831  6 30    17.0    17.0    16.3 1
-1831  7  1    12.5    12.5    11.8 1
-1831  7  2    13.7    13.7    13.0 1
-1831  7  3    14.6    14.6    13.9 1
-1831  7  4    17.4    17.4    16.7 1
-1831  7  5    19.7    19.7    19.0 1
-1831  7  6    21.0    21.0    20.3 1
-1831  7  7    18.2    18.2    17.5 1
-1831  7  8    18.4    18.4    17.7 1
-1831  7  9    18.9    18.9    18.2 1
-1831  7 10    20.6    20.6    19.9 1
-1831  7 11    20.7    20.7    20.0 1
-1831  7 12    19.2    19.2    18.5 1
-1831  7 13    21.4    21.4    20.7 1
-1831  7 14    21.1    21.1    20.4 1
-1831  7 15    19.6    19.6    18.9 1
-1831  7 16    19.2    19.2    18.5 1
-1831  7 17    19.1    19.1    18.4 1
-1831  7 18    20.1    20.1    19.4 1
-1831  7 19    18.6    18.6    17.9 1
-1831  7 20    17.9    17.9    17.2 1
-1831  7 21    19.5    19.5    18.8 1
-1831  7 22    20.2    20.2    19.5 1
-1831  7 23    14.9    14.9    14.2 1
-1831  7 24    16.5    16.5    15.8 1
-1831  7 25    17.6    17.6    16.9 1
-1831  7 26    17.6    17.6    16.9 1
-1831  7 27    18.8    18.8    18.1 1
-1831  7 28    19.8    19.8    19.1 1
-1831  7 29    20.7    20.7    20.0 1
-1831  7 30    20.5    20.5    19.8 1
-1831  7 31    21.1    21.1    20.4 1
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-1831  8  2    20.9    20.9    20.3 1
-1831  8  3    20.1    20.1    19.5 1
-1831  8  4    23.1    23.1    22.5 1
-1831  8  5    19.3    19.3    18.8 1
-1831  8  6    16.0    16.0    15.5 1
-1831  8  7    17.9    17.9    17.4 1
-1831  8  8    18.8    18.8    18.3 1
-1831  8  9    18.3    18.3    17.8 1
-1831  8 10    17.4    17.4    17.0 1
-1831  8 11    19.5    19.5    19.1 1
-1831  8 12    14.1    14.1    13.7 1
-1831  8 13    14.7    14.7    14.3 1
-1831  8 14    13.4    13.4    13.1 1
-1831  8 15    15.0    15.0    14.7 1
-1831  8 16    15.6    15.6    15.3 1
-1831  8 17    14.2    14.2    13.9 1
-1831  8 18    13.6    13.6    13.3 1
-1831  8 19    14.2    14.2    14.0 1
-1831  8 20    14.6    14.6    14.4 1
-1831  8 21    15.9    15.9    15.7 1
-1831  8 22    13.2    13.2    13.0 1
-1831  8 23    13.9    13.9    13.8 1
-1831  8 24    12.4    12.4    12.3 1
-1831  8 25    12.8    12.8    12.7 1
-1831  8 26    14.9    14.9    14.8 1
-1831  8 27    15.9    15.9    15.8 1
-1831  8 28    17.6    17.6    17.6 1
-1831  8 29    15.1    15.1    15.1 1
-1831  8 30    13.6    13.6    13.6 1
-1831  8 31    14.3    14.3    14.3 1
-1831  9  1    14.2    14.2    14.2 1
-1831  9  2    12.4    12.4    12.4 1
-1831  9  3    11.0    11.0    11.0 1
-1831  9  4     9.5     9.5     9.5 1
-1831  9  5     8.9     8.9     8.9 1
-1831  9  6     9.2     9.2     9.2 1
-1831  9  7    11.2    11.2    11.2 1
-1831  9  8    10.8    10.8    10.8 1
-1831  9  9    11.2    11.2    11.2 1
-1831  9 10    11.6    11.6    11.6 1
-1831  9 11    11.3    11.3    11.3 1
-1831  9 12     9.2     9.2     9.2 1
-1831  9 13     7.4     7.4     7.4 1
-1831  9 14     7.6     7.6     7.6 1
-1831  9 15     8.1     8.1     8.1 1
-1831  9 16     8.5     8.5     8.5 1
-1831  9 17     7.5     7.5     7.5 1
-1831  9 18     9.7     9.7     9.7 1
-1831  9 19     9.2     9.2     9.2 1
-1831  9 20     9.7     9.7     9.7 1
-1831  9 21     9.0     9.0     9.0 1
-1831  9 22     9.1     9.1     9.1 1
-1831  9 23    10.1    10.1    10.1 1
-1831  9 24    12.1    12.1    12.1 1
-1831  9 25    13.8    13.8    13.8 1
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-1831  9 27    11.2    11.2    11.2 1
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-1831 10 23     8.6     8.6     8.6 1
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-1831 10 25     8.9     8.9     8.9 1
-1831 10 26     9.8     9.8     9.8 1
-1831 10 27    10.7    10.7    10.7 1
-1831 10 28    10.5    10.5    10.5 1
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-1832  1 28     1.4     1.4     1.4 1
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-1832  3 12     2.5     2.5     2.5 1
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-1832  3 17    -0.9    -0.9    -0.9 1
-1832  3 18     2.3     2.3     2.3 1
-1832  3 19     3.8     3.8     3.8 1
-1832  3 20     1.6     1.6     1.6 1
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-1832  3 23     4.3     4.3     4.3 1
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-1832  3 26     0.1     0.1     0.1 1
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-1832  3 28     0.4     0.4     0.4 1
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-1832  3 30     8.1     8.1     8.1 1
-1832  3 31     5.4     5.4     5.4 1
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-1832  4  7     6.6     6.6     6.6 1
-1832  4  8     3.4     3.4     3.4 1
-1832  4  9     4.2     4.2     4.2 1
-1832  4 10     5.2     5.2     5.2 1
-1832  4 11     5.4     5.4     5.4 1
-1832  4 12     8.5     8.5     8.5 1
-1832  4 13     7.1     7.1     7.1 1
-1832  4 14     4.9     4.9     4.9 1
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-1832  4 16     7.5     7.5     7.5 1
-1832  4 17     3.4     3.4     3.4 1
-1832  4 18     2.5     2.5     2.5 1
-1832  4 19     4.2     4.2     4.2 1
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-1832  4 21     5.6     5.6     5.6 1
-1832  4 22     3.8     3.8     3.8 1
-1832  4 23     2.7     2.7     2.7 1
-1832  4 24     0.9     0.9     0.9 1
-1832  4 25     4.1     4.1     4.1 1
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-1832  4 27     1.3     1.3     1.3 1
-1832  4 28     2.7     2.7     2.7 1
-1832  4 29     5.1     5.1     5.1 1
-1832  4 30     5.1     5.1     5.1 1
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-1832  5  9     4.8     4.8     4.7 1
-1832  5 10     2.1     2.1     1.9 1
-1832  5 11     3.4     3.4     3.2 1
-1832  5 12     4.9     4.9     4.7 1
-1832  5 13     3.9     3.9     3.7 1
-1832  5 14     4.6     4.6     4.3 1
-1832  5 15     4.1     4.1     3.8 1
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-1832  5 17     9.0     9.0     8.7 1
-1832  5 18     7.8     7.8     7.5 1
-1832  5 19     7.4     7.4     7.0 1
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-1832  5 22     9.4     9.4     9.0 1
-1832  5 23     6.7     6.7     6.2 1
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-1832  5 25     6.0     6.0     5.5 1
-1832  5 26     2.4     2.4     1.9 1
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-1832  5 28     4.6     4.6     4.0 1
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-1832  6  8    15.4    15.4    14.7 1
-1832  6  9     9.5     9.5     8.8 1
-1832  6 10     9.2     9.2     8.5 1
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-1832  6 24    13.2    13.2    12.5 1
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-1832  6 26    12.7    12.7    12.0 1
-1832  6 27    12.7    12.7    12.0 1
-1832  6 28    13.0    13.0    12.3 1
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-1832  7  3     7.9     7.9     7.2 1
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-1832  7 11    17.5    17.5    16.8 1
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-1832  8  8    13.9    13.9    13.4 1
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-1832  8 26    13.7    13.7    13.6 1
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-1832  8 29    12.7    12.7    12.7 1
-1832  8 30    13.7    13.7    13.7 1
-1832  8 31    15.2    15.2    15.2 1
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-1832  9 11    13.7    13.7    13.7 1
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-1832  9 13    12.6    12.6    12.6 1
-1832  9 14    11.7    11.7    11.7 1
-1832  9 15     8.1     8.1     8.1 1
-1832  9 16     8.2     8.2     8.2 1
-1832  9 17     9.5     9.5     9.5 1
-1832  9 18    13.7    13.7    13.7 1
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-1832  9 26     7.9     7.9     7.9 1
-1832  9 27     6.1     6.1     6.1 1
-1832  9 28     8.2     8.2     8.2 1
-1832  9 29     4.4     4.4     4.4 1
-1832  9 30     4.3     4.3     4.3 1
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-1832 10  2    11.6    11.6    11.6 1
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-1832 10  5    10.9    10.9    10.9 1
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-1832 10  7    10.7    10.7    10.7 1
-1832 10  8     9.9     9.9     9.9 1
-1832 10  9     9.3     9.3     9.3 1
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-1832 10 12     8.9     8.9     8.9 1
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-1832 10 20     5.1     5.1     5.1 1
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-1832 10 22     9.8     9.8     9.8 1
-1832 10 23     6.5     6.5     6.5 1
-1832 10 24     4.7     4.7     4.7 1
-1832 10 25     5.1     5.1     5.1 1
-1832 10 26     5.2     5.2     5.2 1
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-1832 10 30     6.5     6.5     6.5 1
-1832 10 31     6.3     6.3     6.3 1
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-1832 11 11     2.5     2.5     2.5 1
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-1832 11 16     4.2     4.2     4.2 1
-1832 11 17     2.7     2.7     2.7 1
-1832 11 18     3.2     3.2     3.2 1
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-1832 11 30     1.7     1.7     1.7 1
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-1832 12  9     2.7     2.7     2.7 1
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-1832 12 26     2.7     2.7     2.7 1
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-1833  1 24    -4.6    -4.6    -4.6 1
-1833  1 25    -2.4    -2.4    -2.4 1
-1833  1 26    -3.3    -3.3    -3.3 1
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-1833  1 28    -0.1    -0.1    -0.1 1
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-1833  1 30    -6.7    -6.7    -6.7 1
-1833  1 31    -9.5    -9.5    -9.5 1
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-1833  2  7     1.8     1.8     1.8 1
-1833  2  8     2.6     2.6     2.6 1
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-1833  2 12    -0.5    -0.5    -0.5 1
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-1833  2 15     0.9     0.9     0.9 1
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-1833  2 17     0.5     0.5     0.5 1
-1833  2 18     0.0     0.0     0.0 1
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-1833  3  7    -5.6    -5.6    -5.6 1
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-1833  3  9    -2.5    -2.5    -2.5 1
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-1833  3 14    -5.1    -5.1    -5.1 1
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-1833  3 16    -4.5    -4.5    -4.5 1
-1833  3 17    -4.4    -4.4    -4.4 1
-1833  3 18    -4.4    -4.4    -4.4 1
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-1833  3 20    -2.4    -2.4    -2.4 1
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-1833  3 22    -0.7    -0.7    -0.7 1
-1833  3 23     0.2     0.2     0.2 1
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-1833  3 25    -1.2    -1.2    -1.2 1
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-1833  3 27     2.0     2.0     2.0 1
-1833  3 28     1.3     1.3     1.3 1
-1833  3 29     2.4     2.4     2.4 1
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-1833  4  7    -0.5    -0.5    -0.5 1
-1833  4  8     1.6     1.6     1.6 1
-1833  4  9     1.9     1.9     1.9 1
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-1833  4 12     1.6     1.6     1.6 1
-1833  4 13     0.9     0.9     0.9 1
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-1833  4 20     1.6     1.6     1.6 1
-1833  4 21     1.1     1.1     1.1 1
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-1833  4 24     2.7     2.7     2.7 1
-1833  4 25     0.8     0.8     0.8 1
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-1833  4 27     0.8     0.8     0.8 1
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-1833  5  9     7.3     7.3     7.2 1
-1833  5 10     5.7     5.7     5.5 1
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-1833  5 12    12.8    12.8    12.6 1
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-1833  5 17    17.5    17.5    17.2 1
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-1833  5 24    12.9    12.9    12.4 1
-1833  5 25    12.9    12.9    12.4 1
-1833  5 26     6.1     6.1     5.6 1
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-1833  6  6    13.3    13.3    12.6 1
-1833  6  7    17.9    17.9    17.2 1
-1833  6  8    18.0    18.0    17.3 1
-1833  6  9    15.3    15.3    14.6 1
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-1833  6 25    16.2    16.2    15.5 1
-1833  6 26    18.0    18.0    17.3 1
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-1833  6 28    17.5    17.5    16.8 1
-1833  6 29    18.7    18.7    18.0 1
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-1833  7  5    17.0    17.0    16.3 1
-1833  7  6    19.6    19.6    18.9 1
-1833  7  7    20.3    20.3    19.6 1
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-1833  7  9    17.9    17.9    17.2 1
-1833  7 10    16.8    16.8    16.1 1
-1833  7 11    13.2    13.2    12.5 1
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-1833  7 13    13.4    13.4    12.7 1
-1833  7 14    16.1    16.1    15.4 1
-1833  7 15    15.7    15.7    15.0 1
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-1833  9 17    13.3    13.3    13.3 1
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-1833 10  9     8.3     8.3     8.3 1
-1833 10 10     6.3     6.3     6.3 1
-1833 10 11     6.8     6.8     6.8 1
-1833 10 12     8.3     8.3     8.3 1
-1833 10 13     8.5     8.5     8.5 1
-1833 10 14     4.1     4.1     4.1 1
-1833 10 15     9.1     9.1     9.1 1
-1833 10 16     8.8     8.8     8.8 1
-1833 10 17     8.2     8.2     8.2 1
-1833 10 18     7.4     7.4     7.4 1
-1833 10 19     7.7     7.7     7.7 1
-1833 10 20     9.1     9.1     9.1 1
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-1833 10 22     9.5     9.5     9.5 1
-1833 10 23    10.8    10.8    10.8 1
-1833 10 24    10.4    10.4    10.4 1
-1833 10 25     8.7     8.7     8.7 1
-1833 10 26     9.2     9.2     9.2 1
-1833 10 27     9.3     9.3     9.3 1
-1833 10 28     8.9     8.9     8.9 1
-1833 10 29     8.2     8.2     8.2 1
-1833 10 30     7.8     7.8     7.8 1
-1833 10 31     7.2     7.2     7.2 1
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-1833 11 16     1.7     1.7     1.7 1
-1833 11 17     1.0     1.0     1.0 1
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-1833 11 19     3.6     3.6     3.6 1
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-1833 11 23     5.0     5.0     5.0 1
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-1833 12 28    -0.5    -0.5    -0.5 1
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-1834  1 28    -0.7    -0.7    -0.7 1
-1834  1 29    -0.9    -0.9    -0.9 1
-1834  1 30    -7.1    -7.1    -7.1 1
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-1834  2 19     5.4     5.4     5.4 1
-1834  2 20     2.5     2.5     2.5 1
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-1834  2 25     2.2     2.2     2.2 1
-1834  2 26     4.0     4.0     4.0 1
-1834  2 27     5.2     5.2     5.2 1
-1834  2 28     0.2     0.2     0.2 1
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-1834  3  5     5.7     5.7     5.7 1
-1834  3  6     4.2     4.2     4.2 1
-1834  3  7     4.4     4.4     4.4 1
-1834  3  8     4.3     4.3     4.3 1
-1834  3  9     1.4     1.4     1.4 1
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-1834  3 12    -0.2    -0.2    -0.2 1
-1834  3 13     1.5     1.5     1.5 1
-1834  3 14     3.4     3.4     3.4 1
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-1834  3 27    -1.8    -1.8    -1.8 1
-1834  3 28     1.5     1.5     1.5 1
-1834  3 29     1.3     1.3     1.3 1
-1834  3 30     1.2     1.2     1.2 1
-1834  3 31     1.4     1.4     1.4 1
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-1834  4  3     3.6     3.6     3.6 1
-1834  4  4     2.2     2.2     2.2 1
-1834  4  5     3.3     3.3     3.3 1
-1834  4  6     3.9     3.9     3.9 1
-1834  4  7     1.5     1.5     1.5 1
-1834  4  8     0.3     0.3     0.3 1
-1834  4  9     0.1     0.1     0.1 1
-1834  4 10     1.1     1.1     1.1 1
-1834  4 11     1.7     1.7     1.7 1
-1834  4 12     0.2     0.2     0.2 1
-1834  4 13     4.6     4.6     4.6 1
-1834  4 14     5.4     5.4     5.4 1
-1834  4 15     5.9     5.9     5.9 1
-1834  4 16     7.6     7.6     7.6 1
-1834  4 17     6.3     6.3     6.3 1
-1834  4 18     8.0     8.0     8.0 1
-1834  4 19     8.4     8.4     8.4 1
-1834  4 20     7.0     7.0     7.0 1
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-1834  4 22     4.3     4.3     4.3 1
-1834  4 23     2.3     2.3     2.3 1
-1834  4 24     4.7     4.7     4.7 1
-1834  4 25     1.2     1.2     1.2 1
-1834  4 26     3.5     3.5     3.5 1
-1834  4 27     5.4     5.4     5.4 1
-1834  4 28     6.7     6.7     6.7 1
-1834  4 29     2.2     2.2     2.2 1
-1834  4 30     3.4     3.4     3.4 1
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-1834  5  9    11.3    11.3    11.2 1
-1834  5 10     6.4     6.4     6.2 1
-1834  5 11     6.9     6.9     6.7 1
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-1834  5 17     9.6     9.6     9.3 1
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-1834  6  6    12.9    12.9    12.2 1
-1834  6  7    15.2    15.2    14.5 1
-1834  6  8    15.0    15.0    14.3 1
-1834  6  9    15.2    15.2    14.5 1
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-1834  6 11    14.5    14.5    13.8 1
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-1834  6 28    11.5    11.5    10.8 1
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-1834  7  9    22.2    22.2    21.5 1
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-1834  7 12    18.7    18.7    18.0 1
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-1834  7 14    21.4    21.4    20.7 1
-1834  7 15    18.7    18.7    18.0 1
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-1834  7 18    16.7    16.7    16.0 1
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-1834  7 29    24.7    24.7    24.0 1
-1834  7 30    22.6    22.6    21.9 1
-1834  7 31    22.0    22.0    21.3 1
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-1834  8  7    19.5    19.5    19.0 1
-1834  8  8    20.1    20.1    19.6 1
-1834  8  9    19.4    19.4    18.9 1
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-1834  8 31    20.8    20.8    20.8 1
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-1834  9  8    13.7    13.7    13.7 1
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-1834  9 11    11.8    11.8    11.8 1
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-1834 10 20     5.7     5.7     5.7 1
-1834 10 21     4.9     4.9     4.9 1
-1834 10 22     3.5     3.5     3.5 1
-1834 10 23     3.9     3.9     3.9 1
-1834 10 24     4.2     4.2     4.2 1
-1834 10 25     1.8     1.8     1.8 1
-1834 10 26     0.8     0.8     0.8 1
-1834 10 27     2.0     2.0     2.0 1
-1834 10 28     1.5     1.5     1.5 1
-1834 10 29     0.2     0.2     0.2 1
-1834 10 30     4.7     4.7     4.7 1
-1834 10 31     4.5     4.5     4.5 1
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-1834 11  2     0.4     0.4     0.4 1
-1834 11  3     3.4     3.4     3.4 1
-1834 11  4     4.1     4.1     4.1 1
-1834 11  5    10.2    10.2    10.2 1
-1834 11  6     7.8     7.8     7.8 1
-1834 11  7    -0.1    -0.1    -0.1 1
-1834 11  8     3.4     3.4     3.4 1
-1834 11  9     4.6     4.6     4.6 1
-1834 11 10     2.4     2.4     2.4 1
-1834 11 11    -4.3    -4.3    -4.3 1
-1834 11 12    -4.9    -4.9    -4.9 1
-1834 11 13    -2.9    -2.9    -2.9 1
-1834 11 14    -4.2    -4.2    -4.2 1
-1834 11 15     0.5     0.5     0.5 1
-1834 11 16    -1.7    -1.7    -1.7 1
-1834 11 17    -3.1    -3.1    -3.1 1
-1834 11 18    -3.6    -3.6    -3.6 1
-1834 11 19    -0.1    -0.1    -0.1 1
-1834 11 20     1.3     1.3     1.3 1
-1834 11 21     2.5     2.5     2.5 1
-1834 11 22    -2.2    -2.2    -2.2 1
-1834 11 23    -1.3    -1.3    -1.3 1
-1834 11 24    -2.9    -2.9    -2.9 1
-1834 11 25     1.3     1.3     1.3 1
-1834 11 26     2.6     2.6     2.6 1
-1834 11 27     2.6     2.6     2.6 1
-1834 11 28    -2.3    -2.3    -2.3 1
-1834 11 29     3.0     3.0     3.0 1
-1834 11 30     3.2     3.2     3.2 1
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-1834 12  5     3.7     3.7     3.7 1
-1834 12  6     4.2     4.2     4.2 1
-1834 12  7     4.6     4.6     4.6 1
-1834 12  8     4.3     4.3     4.3 1
-1834 12  9     0.4     0.4     0.4 1
-1834 12 10    -2.1    -2.1    -2.1 1
-1834 12 11    -2.5    -2.5    -2.5 1
-1834 12 12    -1.7    -1.7    -1.7 1
-1834 12 13    -0.7    -0.7    -0.7 1
-1834 12 14    -2.1    -2.1    -2.1 1
-1834 12 15    -1.9    -1.9    -1.9 1
-1834 12 16    -1.2    -1.2    -1.2 1
-1834 12 17    -1.2    -1.2    -1.2 1
-1834 12 18    -3.3    -3.3    -3.3 1
-1834 12 19    -0.5    -0.5    -0.5 1
-1834 12 20    -1.1    -1.1    -1.1 1
-1834 12 21    -1.3    -1.3    -1.3 1
-1834 12 22    -4.8    -4.8    -4.8 1
-1834 12 23    -4.3    -4.3    -4.3 1
-1834 12 24    -7.8    -7.8    -7.8 1
-1834 12 25    -4.3    -4.3    -4.3 1
-1834 12 26    -3.4    -3.4    -3.4 1
-1834 12 27    -4.4    -4.4    -4.4 1
-1834 12 28    -0.5    -0.5    -0.5 1
-1834 12 29     1.6     1.6     1.6 1
-1834 12 30     0.6     0.6     0.6 1
-1834 12 31     2.3     2.3     2.3 1
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-1835  1  4    -0.8    -0.8    -0.8 1
-1835  1  5     1.0     1.0     1.0 1
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-1835  1  7    -0.9    -0.9    -0.9 1
-1835  1  8    -7.4    -7.4    -7.4 1
-1835  1  9    -1.3    -1.3    -1.3 1
-1835  1 10    -0.9    -0.9    -0.9 1
-1835  1 11    -5.5    -5.5    -5.5 1
-1835  1 12    -8.7    -8.7    -8.7 1
-1835  1 13    -6.6    -6.6    -6.6 1
-1835  1 14    -0.6    -0.6    -0.6 1
-1835  1 15     2.3     2.3     2.3 1
-1835  1 16     3.6     3.6     3.6 1
-1835  1 17    -0.3    -0.3    -0.3 1
-1835  1 18    -6.3    -6.3    -6.3 1
-1835  1 19    -1.5    -1.5    -1.5 1
-1835  1 20    -5.7    -5.7    -5.7 1
-1835  1 21   -11.7   -11.7   -11.7 1
-1835  1 22    -8.1    -8.1    -8.1 1
-1835  1 23     0.5     0.5     0.5 1
-1835  1 24     3.2     3.2     3.2 1
-1835  1 25     1.2     1.2     1.2 1
-1835  1 26    -2.1    -2.1    -2.1 1
-1835  1 27    -1.5    -1.5    -1.5 1
-1835  1 28     0.7     0.7     0.7 1
-1835  1 29     5.1     5.1     5.1 1
-1835  1 30    -0.6    -0.6    -0.6 1
-1835  1 31    -2.9    -2.9    -2.9 1
-1835  2  1     0.2     0.2     0.2 1
-1835  2  2     2.5     2.5     2.5 1
-1835  2  3     3.8     3.8     3.8 1
-1835  2  4     1.0     1.0     1.0 1
-1835  2  5     3.8     3.8     3.8 1
-1835  2  6    -0.6    -0.6    -0.6 1
-1835  2  7    -2.8    -2.8    -2.8 1
-1835  2  8     1.9     1.9     1.9 1
-1835  2  9    -0.1    -0.1    -0.1 1
-1835  2 10    -2.3    -2.3    -2.3 1
-1835  2 11    -1.8    -1.8    -1.8 1
-1835  2 12     1.9     1.9     1.9 1
-1835  2 13    -0.7    -0.7    -0.7 1
-1835  2 14    -5.3    -5.3    -5.3 1
-1835  2 15    -4.0    -4.0    -4.0 1
-1835  2 16    -2.0    -2.0    -2.0 1
-1835  2 17    -2.5    -2.5    -2.5 1
-1835  2 18    -2.5    -2.5    -2.5 1
-1835  2 19    -1.5    -1.5    -1.5 1
-1835  2 20    -0.1    -0.1    -0.1 1
-1835  2 21    -0.1    -0.1    -0.1 1
-1835  2 22     0.6     0.6     0.6 1
-1835  2 23     0.4     0.4     0.4 1
-1835  2 24     1.1     1.1     1.1 1
-1835  2 25    -2.3    -2.3    -2.3 1
-1835  2 26     1.8     1.8     1.8 1
-1835  2 27     1.6     1.6     1.6 1
-1835  2 28     1.3     1.3     1.3 1
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-1835  3  2    -1.2    -1.2    -1.2 1
-1835  3  3     0.2     0.2     0.2 1
-1835  3  4    -1.6    -1.6    -1.6 1
-1835  3  5    -5.2    -5.2    -5.2 1
-1835  3  6    -1.8    -1.8    -1.8 1
-1835  3  7    -1.9    -1.9    -1.9 1
-1835  3  8    -1.6    -1.6    -1.6 1
-1835  3  9    -0.8    -0.8    -0.8 1
-1835  3 10     0.5     0.5     0.5 1
-1835  3 11     0.9     0.9     0.9 1
-1835  3 12     2.1     2.1     2.1 1
-1835  3 13     1.2     1.2     1.2 1
-1835  3 14    -0.2    -0.2    -0.2 1
-1835  3 15     1.1     1.1     1.1 1
-1835  3 16     1.5     1.5     1.5 1
-1835  3 17     1.1     1.1     1.1 1
-1835  3 18     0.7     0.7     0.7 1
-1835  3 19     0.2     0.2     0.2 1
-1835  3 20    -0.8    -0.8    -0.8 1
-1835  3 21    -0.1    -0.1    -0.1 1
-1835  3 22     1.2     1.2     1.2 1
-1835  3 23    -0.2    -0.2    -0.2 1
-1835  3 24    -0.7    -0.7    -0.7 1
-1835  3 25     1.2     1.2     1.2 1
-1835  3 26     5.3     5.3     5.3 1
-1835  3 27    -1.9    -1.9    -1.9 1
-1835  3 28    -4.5    -4.5    -4.5 1
-1835  3 29    -3.3    -3.3    -3.3 1
-1835  3 30     1.9     1.9     1.9 1
-1835  3 31    -2.6    -2.6    -2.6 1
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-1835  4  2    -2.4    -2.4    -2.4 1
-1835  4  3    -0.5    -0.5    -0.5 1
-1835  4  4     0.6     0.6     0.6 1
-1835  4  5    -0.8    -0.8    -0.8 1
-1835  4  6    -0.3    -0.3    -0.3 1
-1835  4  7     3.4     3.4     3.4 1
-1835  4  8     8.9     8.9     8.9 1
-1835  4  9     6.0     6.0     6.0 1
-1835  4 10     3.2     3.2     3.2 1
-1835  4 11     2.4     2.4     2.4 1
-1835  4 12     2.2     2.2     2.2 1
-1835  4 13     6.8     6.8     6.8 1
-1835  4 14     8.5     8.5     8.5 1
-1835  4 15     5.3     5.3     5.3 1
-1835  4 16     1.3     1.3     1.3 1
-1835  4 17    -0.1    -0.1    -0.1 1
-1835  4 18     0.6     0.6     0.6 1
-1835  4 19     0.2     0.2     0.2 1
-1835  4 20     2.6     2.6     2.6 1
-1835  4 21     8.4     8.4     8.4 1
-1835  4 22     9.6     9.6     9.6 1
-1835  4 23     4.6     4.6     4.6 1
-1835  4 24     5.3     5.3     5.3 1
-1835  4 25     5.4     5.4     5.4 1
-1835  4 26     6.1     6.1     6.1 1
-1835  4 27     4.5     4.5     4.5 1
-1835  4 28     5.2     5.2     5.2 1
-1835  4 29     4.7     4.7     4.7 1
-1835  4 30     6.1     6.1     6.1 1
-1835  5  1     6.0     6.0     6.0 1
-1835  5  2     6.7     6.7     6.7 1
-1835  5  3     9.8     9.8     9.8 1
-1835  5  4    11.0    11.0    11.0 1
-1835  5  5    10.0    10.0     9.9 1
-1835  5  6     3.8     3.8     3.7 1
-1835  5  7     4.4     4.4     4.3 1
-1835  5  8     6.2     6.2     6.1 1
-1835  5  9     8.8     8.8     8.7 1
-1835  5 10     8.8     8.8     8.6 1
-1835  5 11    10.4    10.4    10.2 1
-1835  5 12     8.7     8.7     8.5 1
-1835  5 13     4.4     4.4     4.2 1
-1835  5 14     3.9     3.9     3.6 1
-1835  5 15     1.9     1.9     1.6 1
-1835  5 16     0.9     0.9     0.6 1
-1835  5 17     1.6     1.6     1.3 1
-1835  5 18     0.8     0.8     0.5 1
-1835  5 19     1.6     1.6     1.2 1
-1835  5 20     4.8     4.8     4.4 1
-1835  5 21     6.9     6.9     6.5 1
-1835  5 22     6.9     6.9     6.5 1
-1835  5 23     7.0     7.0     6.5 1
-1835  5 24     9.2     9.2     8.7 1
-1835  5 25     4.9     4.9     4.4 1
-1835  5 26     2.9     2.9     2.4 1
-1835  5 27     2.5     2.5     2.0 1
-1835  5 28     6.3     6.3     5.7 1
-1835  5 29     8.4     8.4     7.8 1
-1835  5 30     7.5     7.5     6.9 1
-1835  5 31     9.5     9.5     8.9 1
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-1835  6  4    15.8    15.8    15.1 1
-1835  6  5    18.8    18.8    18.1 1
-1835  6  6    17.3    17.3    16.6 1
-1835  6  7    20.9    20.9    20.2 1
-1835  6  8    20.0    20.0    19.3 1
-1835  6  9    17.5    17.5    16.8 1
-1835  6 10    15.7    15.7    15.0 1
-1835  6 11    20.4    20.4    19.7 1
-1835  6 12    14.5    14.5    13.8 1
-1835  6 13    16.1    16.1    15.4 1
-1835  6 14    14.0    14.0    13.3 1
-1835  6 15    12.7    12.7    12.0 1
-1835  6 16    15.2    15.2    14.5 1
-1835  6 17    18.7    18.7    18.0 1
-1835  6 18    16.4    16.4    15.7 1
-1835  6 19    11.5    11.5    10.8 1
-1835  6 20    10.0    10.0     9.3 1
-1835  6 21    10.3    10.3     9.6 1
-1835  6 22    12.1    12.1    11.4 1
-1835  6 23    17.7    17.7    17.0 1
-1835  6 24    17.2    17.2    16.5 1
-1835  6 25    16.2    16.2    15.5 1
-1835  6 26    15.7    15.7    15.0 1
-1835  6 27    16.8    16.8    16.1 1
-1835  6 28    18.3    18.3    17.6 1
-1835  6 29    18.3    18.3    17.6 1
-1835  6 30    12.5    12.5    11.8 1
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-1835  7  2    12.5    12.5    11.8 1
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-1835  7  4    18.5    18.5    17.8 1
-1835  7  5    18.6    18.6    17.9 1
-1835  7  6    19.3    19.3    18.6 1
-1835  7  7    16.5    16.5    15.8 1
-1835  7  8    16.2    16.2    15.5 1
-1835  7  9    16.7    16.7    16.0 1
-1835  7 10    17.8    17.8    17.1 1
-1835  7 11    16.1    16.1    15.4 1
-1835  7 12    15.4    15.4    14.7 1
-1835  7 13    15.3    15.3    14.6 1
-1835  7 14    14.0    14.0    13.3 1
-1835  7 15    14.8    14.8    14.1 1
-1835  7 16    16.0    16.0    15.3 1
-1835  7 17    17.6    17.6    16.9 1
-1835  7 18    18.8    18.8    18.1 1
-1835  7 19    19.8    19.8    19.1 1
-1835  7 20    22.4    22.4    21.7 1
-1835  7 21    19.9    19.9    19.2 1
-1835  7 22    15.0    15.0    14.3 1
-1835  7 23    13.4    13.4    12.7 1
-1835  7 24    13.6    13.6    12.9 1
-1835  7 25    13.7    13.7    13.0 1
-1835  7 26    18.1    18.1    17.4 1
-1835  7 27    17.2    17.2    16.5 1
-1835  7 28    15.0    15.0    14.3 1
-1835  7 29    13.8    13.8    13.1 1
-1835  7 30    14.6    14.6    13.9 1
-1835  7 31    14.1    14.1    13.4 1
-1835  8  1     9.9     9.9     9.3 1
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-1835  8  3    13.6    13.6    13.0 1
-1835  8  4    15.9    15.9    15.3 1
-1835  8  5    16.6    16.6    16.1 1
-1835  8  6    16.7    16.7    16.2 1
-1835  8  7    14.3    14.3    13.8 1
-1835  8  8    10.9    10.9    10.4 1
-1835  8  9     9.4     9.4     8.9 1
-1835  8 10    11.2    11.2    10.8 1
-1835  8 11    13.6    13.6    13.2 1
-1835  8 12    16.2    16.2    15.8 1
-1835  8 13    15.6    15.6    15.2 1
-1835  8 14    13.4    13.4    13.1 1
-1835  8 15    13.8    13.8    13.5 1
-1835  8 16    15.5    15.5    15.2 1
-1835  8 17    16.2    16.2    15.9 1
-1835  8 18    13.9    13.9    13.6 1
-1835  8 19    16.5    16.5    16.3 1
-1835  8 20    13.3    13.3    13.1 1
-1835  8 21    13.7    13.7    13.5 1
-1835  8 22    14.1    14.1    13.9 1
-1835  8 23    13.8    13.8    13.7 1
-1835  8 24    11.7    11.7    11.6 1
-1835  8 25    10.4    10.4    10.3 1
-1835  8 26    11.5    11.5    11.4 1
-1835  8 27    12.5    12.5    12.4 1
-1835  8 28    12.3    12.3    12.3 1
-1835  8 29    13.1    13.1    13.1 1
-1835  8 30    11.8    11.8    11.8 1
-1835  8 31    11.0    11.0    11.0 1
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-1835  9  3    11.4    11.4    11.4 1
-1835  9  4    11.3    11.3    11.3 1
-1835  9  5    12.7    12.7    12.7 1
-1835  9  6    13.8    13.8    13.8 1
-1835  9  7    11.5    11.5    11.5 1
-1835  9  8    12.2    12.2    12.2 1
-1835  9  9    12.7    12.7    12.7 1
-1835  9 10    13.2    13.2    13.2 1
-1835  9 11    12.9    12.9    12.9 1
-1835  9 12    12.2    12.2    12.2 1
-1835  9 13    13.0    13.0    13.0 1
-1835  9 14    13.6    13.6    13.6 1
-1835  9 15    13.6    13.6    13.6 1
-1835  9 16    13.2    13.2    13.2 1
-1835  9 17    12.6    12.6    12.6 1
-1835  9 18    11.4    11.4    11.4 1
-1835  9 19    12.2    12.2    12.2 1
-1835  9 20    13.8    13.8    13.8 1
-1835  9 21    14.4    14.4    14.4 1
-1835  9 22    13.2    13.2    13.2 1
-1835  9 23    10.9    10.9    10.9 1
-1835  9 24    15.5    15.5    15.5 1
-1835  9 25    13.8    13.8    13.8 1
-1835  9 26    10.7    10.7    10.7 1
-1835  9 27    13.8    13.8    13.8 1
-1835  9 28    14.3    14.3    14.3 1
-1835  9 29    12.3    12.3    12.3 1
-1835  9 30    11.1    11.1    11.1 1
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-1835 10  4    12.1    12.1    12.1 1
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-1835 10  7     4.2     4.2     4.2 1
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-1835 10 11    10.0    10.0    10.0 1
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-1835 10 13     7.4     7.4     7.4 1
-1835 10 14     5.3     5.3     5.3 1
-1835 10 15     4.2     4.2     4.2 1
-1835 10 16     3.0     3.0     3.0 1
-1835 10 17     3.3     3.3     3.3 1
-1835 10 18     2.5     2.5     2.5 1
-1835 10 19     3.4     3.4     3.4 1
-1835 10 20     7.6     7.6     7.6 1
-1835 10 21     7.9     7.9     7.9 1
-1835 10 22     6.8     6.8     6.8 1
-1835 10 23     4.2     4.2     4.2 1
-1835 10 24     3.8     3.8     3.8 1
-1835 10 25     6.8     6.8     6.8 1
-1835 10 26     8.9     8.9     8.9 1
-1835 10 27     7.9     7.9     7.9 1
-1835 10 28     6.2     6.2     6.2 1
-1835 10 29     5.2     5.2     5.2 1
-1835 10 30     5.0     5.0     5.0 1
-1835 10 31     3.5     3.5     3.5 1
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-1835 11 30     1.9     1.9     1.9 1
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-1835 12 29    -7.0    -7.0    -7.0 1
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-1836  1 26     1.3     1.3     1.3 1
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-1836  1 28     2.3     2.3     2.3 1
-1836  1 29     0.5     0.5     0.5 1
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-1836  2 14    -6.3    -6.3    -6.3 1
-1836  2 15     2.3     2.3     2.3 1
-1836  2 16     2.3     2.3     2.3 1
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-1836  2 20    -6.2    -6.2    -6.2 1
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-1836  2 25    -0.5    -0.5    -0.5 1
-1836  2 26    -4.6    -4.6    -4.6 1
-1836  2 27    -6.0    -6.0    -6.0 1
-1836  2 28    -4.9    -4.9    -4.9 1
-1836  2 29     0.5     0.5     0.5 1
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-1836  3  3     1.1     1.1     1.1 1
-1836  3  4     1.4     1.4     1.4 1
-1836  3  5     1.5     1.5     1.5 1
-1836  3  6     2.4     2.4     2.4 1
-1836  3  7     1.9     1.9     1.9 1
-1836  3  8     0.9     0.9     0.9 1
-1836  3  9     0.7     0.7     0.7 1
-1836  3 10     1.1     1.1     1.1 1
-1836  3 11     2.5     2.5     2.5 1
-1836  3 12     2.1     2.1     2.1 1
-1836  3 13     3.2     3.2     3.2 1
-1836  3 14     2.1     2.1     2.1 1
-1836  3 15     2.1     2.1     2.1 1
-1836  3 16     0.2     0.2     0.2 1
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-1836  3 19    -0.9    -0.9    -0.9 1
-1836  3 20     4.2     4.2     4.2 1
-1836  3 21     6.2     6.2     6.2 1
-1836  3 22     6.8     6.8     6.8 1
-1836  3 23     4.0     4.0     4.0 1
-1836  3 24     2.4     2.4     2.4 1
-1836  3 25     3.4     3.4     3.4 1
-1836  3 26     2.9     2.9     2.9 1
-1836  3 27     3.0     3.0     3.0 1
-1836  3 28     1.9     1.9     1.9 1
-1836  3 29     0.8     0.8     0.8 1
-1836  3 30     2.7     2.7     2.7 1
-1836  3 31     0.4     0.4     0.4 1
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-1836  4  7     2.4     2.4     2.4 1
-1836  4  8     1.4     1.4     1.4 1
-1836  4  9     3.2     3.2     3.2 1
-1836  4 10     2.8     2.8     2.8 1
-1836  4 11     4.2     4.2     4.2 1
-1836  4 12     4.1     4.1     4.1 1
-1836  4 13     4.8     4.8     4.8 1
-1836  4 14     4.0     4.0     4.0 1
-1836  4 15     4.1     4.1     4.1 1
-1836  4 16     3.7     3.7     3.7 1
-1836  4 17     5.2     5.2     5.2 1
-1836  4 18     5.6     5.6     5.6 1
-1836  4 19     4.9     4.9     4.9 1
-1836  4 20     4.5     4.5     4.5 1
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-1836  4 22     7.5     7.5     7.5 1
-1836  4 23     6.1     6.1     6.1 1
-1836  4 24     5.8     5.8     5.8 1
-1836  4 25     6.8     6.8     6.8 1
-1836  4 26     6.2     6.2     6.2 1
-1836  4 27     4.2     4.2     4.2 1
-1836  4 28     4.9     4.9     4.9 1
-1836  4 29     3.3     3.3     3.3 1
-1836  4 30     4.6     4.6     4.6 1
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-1836  5  3     5.5     5.5     5.5 1
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-1836  5  5     2.9     2.9     2.8 1
-1836  5  6     5.9     5.9     5.8 1
-1836  5  7     5.6     5.6     5.5 1
-1836  5  8     2.3     2.3     2.2 1
-1836  5  9     0.6     0.6     0.5 1
-1836  5 10     4.0     4.0     3.8 1
-1836  5 11     7.3     7.3     7.1 1
-1836  5 12     8.3     8.3     8.1 1
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-1836  5 14     7.3     7.3     7.0 1
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-1836  5 18     9.4     9.4     9.1 1
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-1840  1 25     2.3     2.3     2.3 1
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-1840  2 26    -3.3    -3.3    -3.3 1
-1840  2 27    -2.0    -2.0    -2.0 1
-1840  2 28    -6.7    -6.7    -6.7 1
-1840  2 29    -4.1    -4.1    -4.1 1
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-1840  3  7     0.0     0.0     0.0 1
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-1840  3  9    -3.9    -3.9    -3.9 1
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-1840  3 11     0.1     0.1     0.1 1
-1840  3 12     0.7     0.7     0.7 1
-1840  3 13     0.3     0.3     0.3 1
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-1840  3 19    -2.8    -2.8    -2.8 1
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-1840  3 24    -3.8    -3.8    -3.8 1
-1840  3 25    -5.4    -5.4    -5.4 1
-1840  3 26    -5.4    -5.4    -5.4 1
-1840  3 27    -3.0    -3.0    -3.0 1
-1840  3 28    -1.6    -1.6    -1.6 1
-1840  3 29    -0.8    -0.8    -0.8 1
-1840  3 30     0.5     0.5     0.5 1
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-1840  4  2     0.2     0.2     0.2 1
-1840  4  3     0.4     0.4     0.4 1
-1840  4  4     0.8     0.8     0.8 1
-1840  4  5     0.9     0.9     0.9 1
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-1840  4  7     3.7     3.7     3.7 1
-1840  4  8     3.3     3.3     3.3 1
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-1840  4 13     3.9     3.9     3.9 1
-1840  4 14     3.8     3.8     3.8 1
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-1840  4 17     6.1     6.1     6.1 1
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-1840  4 19     3.4     3.4     3.4 1
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-1840  4 29    12.6    12.6    12.6 1
-1840  4 30     9.5     9.5     9.5 1
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-1840  5  8     5.6     5.6     5.5 1
-1840  5  9     2.4     2.4     2.3 1
-1840  5 10     4.1     4.1     3.9 1
-1840  5 11     3.1     3.1     2.9 1
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-1840  5 13     4.1     4.1     3.9 1
-1840  5 14     5.4     5.4     5.1 1
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-1840  5 17     6.4     6.4     6.1 1
-1840  5 18     8.2     8.2     7.9 1
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-1840  5 20     9.6     9.6     9.2 1
-1840  5 21     6.3     6.3     5.9 1
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-1840  5 24    10.6    10.6    10.1 1
-1840  5 25    10.1    10.1     9.6 1
-1840  5 26     7.6     7.6     7.1 1
-1840  5 27     9.8     9.8     9.3 1
-1840  5 28    10.1    10.1     9.5 1
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-1840  6 25    13.0    13.0    12.3 1
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-1840  6 28    12.1    12.1    11.4 1
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-1840  6 30    15.0    15.0    14.3 1
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-1840  7 15    13.5    13.5    12.8 1
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-1840  7 26    16.2    16.2    15.5 1
-1840  7 27    17.8    17.8    17.1 1
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-1840  7 31    15.8    15.8    15.1 1
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-1840  8  8    14.0    14.0    13.5 1
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-1840  8 19    16.2    16.2    16.0 1
-1840  8 20    17.0    17.0    16.8 1
-1840  8 21    17.3    17.3    17.1 1
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-1840  8 23    17.3    17.3    17.2 1
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-1840  8 27    15.4    15.4    15.3 1
-1840  8 28    15.7    15.7    15.7 1
-1840  8 29    14.2    14.2    14.2 1
-1840  8 30    14.3    14.3    14.3 1
-1840  8 31    15.7    15.7    15.7 1
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-1840  9  5    16.2    16.2    16.2 1
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-1840  9  7    14.3    14.3    14.3 1
-1840  9  8    14.6    14.6    14.6 1
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-1840 10 30     5.9     5.9     5.9 1
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-1840 11  4     5.7     5.7     5.7 1
-1840 11  5     6.5     6.5     6.5 1
-1840 11  6     6.5     6.5     6.5 1
-1840 11  7     5.0     5.0     5.0 1
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-1840 11 26     1.4     1.4     1.4 1
-1840 11 27    -0.6    -0.6    -0.6 1
-1840 11 28    -0.8    -0.8    -0.8 1
-1840 11 29     0.2     0.2     0.2 1
-1840 11 30     0.6     0.6     0.6 1
-1840 12  1     0.9     0.9     0.9 1
-1840 12  2    -0.4    -0.4    -0.4 1
-1840 12  3    -1.5    -1.5    -1.5 1
-1840 12  4     1.6     1.6     1.6 1
-1840 12  5     1.8     1.8     1.8 1
-1840 12  6    -0.3    -0.3    -0.3 1
-1840 12  7     1.2     1.2     1.2 1
-1840 12  8     0.8     0.8     0.8 1
-1840 12  9    -2.1    -2.1    -2.1 1
-1840 12 10    -3.1    -3.1    -3.1 1
-1840 12 11    -4.0    -4.0    -4.0 1
-1840 12 12    -7.0    -7.0    -7.0 1
-1840 12 13   -10.1   -10.1   -10.1 1
-1840 12 14    -7.0    -7.0    -7.0 1
-1840 12 15    -9.9    -9.9    -9.9 1
-1840 12 16    -4.2    -4.2    -4.2 1
-1840 12 17    -3.2    -3.2    -3.2 1
-1840 12 18    -4.3    -4.3    -4.3 1
-1840 12 19    -3.0    -3.0    -3.0 1
-1840 12 20   -10.7   -10.7   -10.7 1
-1840 12 21    -5.8    -5.8    -5.8 1
-1840 12 22    -5.4    -5.4    -5.4 1
-1840 12 23    -3.8    -3.8    -3.8 1
-1840 12 24    -5.1    -5.1    -5.1 1
-1840 12 25    -6.5    -6.5    -6.5 1
-1840 12 26    -6.2    -6.2    -6.2 1
-1840 12 27    -1.4    -1.4    -1.4 1
-1840 12 28    -5.0    -5.0    -5.0 1
-1840 12 29    -4.8    -4.8    -4.8 1
-1840 12 30    -6.7    -6.7    -6.7 1
-1840 12 31    -3.2    -3.2    -3.2 1
-1841  1  1    -6.1    -6.1    -6.1 1
-1841  1  2    -5.4    -5.4    -5.4 1
-1841  1  3    -8.8    -8.8    -8.8 1
-1841  1  4    -5.9    -5.9    -5.9 1
-1841  1  5    -7.8    -7.8    -7.8 1
-1841  1  6    -8.1    -8.1    -8.1 1
-1841  1  7   -10.2   -10.2   -10.2 1
-1841  1  8    -0.8    -0.8    -0.8 1
-1841  1  9    -0.4    -0.4    -0.4 1
-1841  1 10    -2.8    -2.8    -2.8 1
-1841  1 11    -2.0    -2.0    -2.0 1
-1841  1 12     0.1     0.1     0.1 1
-1841  1 13     0.7     0.7     0.7 1
-1841  1 14    -2.8    -2.8    -2.8 1
-1841  1 15    -4.1    -4.1    -4.1 1
-1841  1 16    -9.8    -9.8    -9.8 1
-1841  1 17    -6.9    -6.9    -6.9 1
-1841  1 18   -10.0   -10.0   -10.0 1
-1841  1 19   -13.7   -13.7   -13.7 1
-1841  1 20   -16.0   -16.0   -16.0 1
-1841  1 21   -20.4   -20.4   -20.4 1
-1841  1 22    -5.7    -5.7    -5.7 1
-1841  1 23    -0.6    -0.6    -0.6 1
-1841  1 24    -4.5    -4.5    -4.5 1
-1841  1 25    -5.0    -5.0    -5.0 1
-1841  1 26   -12.5   -12.5   -12.5 1
-1841  1 27    -3.1    -3.1    -3.1 1
-1841  1 28    -2.2    -2.2    -2.2 1
-1841  1 29    -5.4    -5.4    -5.4 1
-1841  1 30   -10.4   -10.4   -10.4 1
-1841  1 31    -8.9    -8.9    -8.9 1
-1841  2  1   -11.8   -11.8   -11.8 1
-1841  2  2   -17.0   -17.0   -17.0 1
-1841  2  3   -14.0   -14.0   -14.0 1
-1841  2  4    -9.5    -9.5    -9.5 1
-1841  2  5   -14.1   -14.1   -14.1 1
-1841  2  6   -13.4   -13.4   -13.4 1
-1841  2  7   -13.8   -13.8   -13.8 1
-1841  2  8    -9.1    -9.1    -9.1 1
-1841  2  9   -12.8   -12.8   -12.8 1
-1841  2 10   -13.2   -13.2   -13.2 1
-1841  2 11   -11.1   -11.1   -11.1 1
-1841  2 12    -4.5    -4.5    -4.5 1
-1841  2 13    -2.7    -2.7    -2.7 1
-1841  2 14    -0.3    -0.3    -0.3 1
-1841  2 15    -1.2    -1.2    -1.2 1
-1841  2 16    -2.1    -2.1    -2.1 1
-1841  2 17    -2.6    -2.6    -2.6 1
-1841  2 18    -0.4    -0.4    -0.4 1
-1841  2 19    -1.4    -1.4    -1.4 1
-1841  2 20    -1.1    -1.1    -1.1 1
-1841  2 21    -0.2    -0.2    -0.2 1
-1841  2 22     0.2     0.2     0.2 1
-1841  2 23    -1.5    -1.5    -1.5 1
-1841  2 24    -2.8    -2.8    -2.8 1
-1841  2 25    -2.1    -2.1    -2.1 1
-1841  2 26    -5.8    -5.8    -5.8 1
-1841  2 27    -4.3    -4.3    -4.3 1
-1841  2 28    -4.6    -4.6    -4.6 1
-1841  3  1    -5.6    -5.6    -5.6 1
-1841  3  2    -6.3    -6.3    -6.3 1
-1841  3  3    -5.1    -5.1    -5.1 1
-1841  3  4    -4.0    -4.0    -4.0 1
-1841  3  5    -3.6    -3.6    -3.6 1
-1841  3  6    -0.1    -0.1    -0.1 1
-1841  3  7     1.5     1.5     1.5 1
-1841  3  8     1.8     1.8     1.8 1
-1841  3  9    -3.8    -3.8    -3.8 1
-1841  3 10     1.1     1.1     1.1 1
-1841  3 11     2.4     2.4     2.4 1
-1841  3 12     4.6     4.6     4.6 1
-1841  3 13    -0.2    -0.2    -0.2 1
-1841  3 14    -2.1    -2.1    -2.1 1
-1841  3 15    -1.6    -1.6    -1.6 1
-1841  3 16    -3.6    -3.6    -3.6 1
-1841  3 17     0.5     0.5     0.5 1
-1841  3 18     0.8     0.8     0.8 1
-1841  3 19     2.3     2.3     2.3 1
-1841  3 20     1.4     1.4     1.4 1
-1841  3 21     2.4     2.4     2.4 1
-1841  3 22     0.8     0.8     0.8 1
-1841  3 23     1.1     1.1     1.1 1
-1841  3 24    -0.9    -0.9    -0.9 1
-1841  3 25    -3.3    -3.3    -3.3 1
-1841  3 26     0.9     0.9     0.9 1
-1841  3 27     3.3     3.3     3.3 1
-1841  3 28     4.0     4.0     4.0 1
-1841  3 29     1.4     1.4     1.4 1
-1841  3 30     5.3     5.3     5.3 1
-1841  3 31     5.5     5.5     5.5 1
-1841  4  1     3.8     3.8     3.8 1
-1841  4  2     3.5     3.5     3.5 1
-1841  4  3     1.3     1.3     1.3 1
-1841  4  4     1.4     1.4     1.4 1
-1841  4  5     0.9     0.9     0.9 1
-1841  4  6     0.9     0.9     0.9 1
-1841  4  7     0.3     0.3     0.3 1
-1841  4  8    -0.3    -0.3    -0.3 1
-1841  4  9     0.2     0.2     0.2 1
-1841  4 10     0.4     0.4     0.4 1
-1841  4 11     1.0     1.0     1.0 1
-1841  4 12     0.3     0.3     0.3 1
-1841  4 13     1.7     1.7     1.7 1
-1841  4 14     3.9     3.9     3.9 1
-1841  4 15     3.2     3.2     3.2 1
-1841  4 16     2.3     2.3     2.3 1
-1841  4 17     3.8     3.8     3.8 1
-1841  4 18     6.5     6.5     6.5 1
-1841  4 19     4.9     4.9     4.9 1
-1841  4 20     4.3     4.3     4.3 1
-1841  4 21     6.5     6.5     6.5 1
-1841  4 22     6.3     6.3     6.3 1
-1841  4 23     3.9     3.9     3.9 1
-1841  4 24     4.6     4.6     4.6 1
-1841  4 25     7.0     7.0     7.0 1
-1841  4 26     9.0     9.0     9.0 1
-1841  4 27    13.5    13.5    13.5 1
-1841  4 28    15.1    15.1    15.1 1
-1841  4 29     9.4     9.4     9.4 1
-1841  4 30     6.9     6.9     6.9 1
-1841  5  1     7.5     7.5     7.5 1
-1841  5  2     5.3     5.3     5.3 1
-1841  5  3     4.4     4.4     4.4 1
-1841  5  4     6.6     6.6     6.6 1
-1841  5  5     7.6     7.6     7.5 1
-1841  5  6     6.4     6.4     6.3 1
-1841  5  7    10.1    10.1    10.0 1
-1841  5  8     7.1     7.1     7.0 1
-1841  5  9     7.8     7.8     7.7 1
-1841  5 10     9.9     9.9     9.7 1
-1841  5 11    12.6    12.6    12.4 1
-1841  5 12    13.5    13.5    13.3 1
-1841  5 13    10.2    10.2    10.0 1
-1841  5 14     7.0     7.0     6.7 1
-1841  5 15     6.6     6.6     6.3 1
-1841  5 16     9.8     9.8     9.5 1
-1841  5 17     9.4     9.4     9.1 1
-1841  5 18    14.5    14.5    14.2 1
-1841  5 19    13.1    13.1    12.7 1
-1841  5 20     8.7     8.7     8.3 1
-1841  5 21    11.3    11.3    10.9 1
-1841  5 22    14.6    14.6    14.2 1
-1841  5 23    14.5    14.5    14.0 1
-1841  5 24    18.1    18.1    17.6 1
-1841  5 25    18.7    18.7    18.2 1
-1841  5 26    13.1    13.1    12.6 1
-1841  5 27    15.3    15.3    14.8 1
-1841  5 28    18.0    18.0    17.4 1
-1841  5 29    20.1    20.1    19.5 1
-1841  5 30    22.5    22.5    21.9 1
-1841  5 31    22.9    22.9    22.3 1
-1841  6  1    22.6    22.6    21.9 1
-1841  6  2    20.1    20.1    19.4 1
-1841  6  3    16.6    16.6    15.9 1
-1841  6  4    13.8    13.8    13.1 1
-1841  6  5    10.6    10.6     9.9 1
-1841  6  6     7.6     7.6     6.9 1
-1841  6  7    12.5    12.5    11.8 1
-1841  6  8    11.3    11.3    10.6 1
-1841  6  9    12.0    12.0    11.3 1
-1841  6 10    14.5    14.5    13.8 1
-1841  6 11    13.3    13.3    12.6 1
-1841  6 12    13.3    13.3    12.6 1
-1841  6 13    12.7    12.7    12.0 1
-1841  6 14    11.5    11.5    10.8 1
-1841  6 15    12.8    12.8    12.1 1
-1841  6 16    11.7    11.7    11.0 1
-1841  6 17    13.8    13.8    13.1 1
-1841  6 18    16.1    16.1    15.4 1
-1841  6 19    11.2    11.2    10.5 1
-1841  6 20    16.1    16.1    15.4 1
-1841  6 21    16.2    16.2    15.5 1
-1841  6 22    16.9    16.9    16.2 1
-1841  6 23    16.8    16.8    16.1 1
-1841  6 24    13.5    13.5    12.8 1
-1841  6 25    12.5    12.5    11.8 1
-1841  6 26    13.4    13.4    12.7 1
-1841  6 27    16.8    16.8    16.1 1
-1841  6 28    16.4    16.4    15.7 1
-1841  6 29    17.2    17.2    16.5 1
-1841  6 30    15.0    15.0    14.3 1
-1841  7  1    17.9    17.9    17.2 1
-1841  7  2    16.7    16.7    16.0 1
-1841  7  3    16.3    16.3    15.6 1
-1841  7  4    16.8    16.8    16.1 1
-1841  7  5    15.3    15.3    14.6 1
-1841  7  6    14.3    14.3    13.6 1
-1841  7  7    11.4    11.4    10.7 1
-1841  7  8    13.3    13.3    12.6 1
-1841  7  9    14.1    14.1    13.4 1
-1841  7 10    12.9    12.9    12.2 1
-1841  7 11    15.2    15.2    14.5 1
-1841  7 12    15.7    15.7    15.0 1
-1841  7 13    11.7    11.7    11.0 1
-1841  7 14    13.4    13.4    12.7 1
-1841  7 15    13.3    13.3    12.6 1
-1841  7 16    14.6    14.6    13.9 1
-1841  7 17    14.5    14.5    13.8 1
-1841  7 18    16.0    16.0    15.3 1
-1841  7 19    12.5    12.5    11.8 1
-1841  7 20    12.3    12.3    11.6 1
-1841  7 21    13.5    13.5    12.8 1
-1841  7 22    13.6    13.6    12.9 1
-1841  7 23    14.8    14.8    14.1 1
-1841  7 24    14.9    14.9    14.2 1
-1841  7 25    17.9    17.9    17.2 1
-1841  7 26    15.4    15.4    14.7 1
-1841  7 27    18.3    18.3    17.6 1
-1841  7 28    15.3    15.3    14.6 1
-1841  7 29    13.0    13.0    12.3 1
-1841  7 30    13.8    13.8    13.1 1
-1841  7 31    14.0    14.0    13.3 1
-1841  8  1    15.2    15.2    14.6 1
-1841  8  2    12.2    12.2    11.6 1
-1841  8  3    14.0    14.0    13.4 1
-1841  8  4    14.2    14.2    13.6 1
-1841  8  5    13.1    13.1    12.6 1
-1841  8  6    15.2    15.2    14.7 1
-1841  8  7    14.6    14.6    14.1 1
-1841  8  8    15.6    15.6    15.1 1
-1841  8  9    15.2    15.2    14.7 1
-1841  8 10    16.2    16.2    15.8 1
-1841  8 11    14.9    14.9    14.5 1
-1841  8 12    15.1    15.1    14.7 1
-1841  8 13    15.3    15.3    14.9 1
-1841  8 14    14.7    14.7    14.4 1
-1841  8 15    14.9    14.9    14.6 1
-1841  8 16    15.8    15.8    15.5 1
-1841  8 17    15.8    15.8    15.5 1
-1841  8 18    16.5    16.5    16.2 1
-1841  8 19    16.0    16.0    15.8 1
-1841  8 20    16.0    16.0    15.8 1
-1841  8 21    15.9    15.9    15.7 1
-1841  8 22    18.0    18.0    17.8 1
-1841  8 23    17.1    17.1    17.0 1
-1841  8 24    16.1    16.1    16.0 1
-1841  8 25    17.4    17.4    17.3 1
-1841  8 26    15.4    15.4    15.3 1
-1841  8 27    16.1    16.1    16.0 1
-1841  8 28    17.1    17.1    17.1 1
-1841  8 29    15.0    15.0    15.0 1
-1841  8 30    15.9    15.9    15.9 1
-1841  8 31    18.5    18.5    18.5 1
-1841  9  1    14.9    14.9    14.9 1
-1841  9  2    13.1    13.1    13.1 1
-1841  9  3    12.3    12.3    12.3 1
-1841  9  4    13.3    13.3    13.3 1
-1841  9  5    15.2    15.2    15.2 1
-1841  9  6    14.3    14.3    14.3 1
-1841  9  7    13.1    13.1    13.1 1
-1841  9  8    13.0    13.0    13.0 1
-1841  9  9    13.9    13.9    13.9 1
-1841  9 10    13.2    13.2    13.2 1
-1841  9 11    13.6    13.6    13.6 1
-1841  9 12    16.3    16.3    16.3 1
-1841  9 13    14.2    14.2    14.2 1
-1841  9 14    14.6    14.6    14.6 1
-1841  9 15    13.9    13.9    13.9 1
-1841  9 16    13.8    13.8    13.8 1
-1841  9 17    13.3    13.3    13.3 1
-1841  9 18     8.8     8.8     8.8 1
-1841  9 19     5.4     5.4     5.4 1
-1841  9 20     7.0     7.0     7.0 1
-1841  9 21    11.4    11.4    11.4 1
-1841  9 22     7.8     7.8     7.8 1
-1841  9 23     5.2     5.2     5.2 1
-1841  9 24     4.2     4.2     4.2 1
-1841  9 25     6.6     6.6     6.6 1
-1841  9 26     7.1     7.1     7.1 1
-1841  9 27     6.6     6.6     6.6 1
-1841  9 28     7.7     7.7     7.7 1
-1841  9 29    12.8    12.8    12.8 1
-1841  9 30    14.1    14.1    14.1 1
-1841 10  1    14.3    14.3    14.3 1
-1841 10  2    12.2    12.2    12.2 1
-1841 10  3     6.4     6.4     6.4 1
-1841 10  4     3.0     3.0     3.0 1
-1841 10  5     5.0     5.0     5.0 1
-1841 10  6     9.6     9.6     9.6 1
-1841 10  7     9.2     9.2     9.2 1
-1841 10  8     7.4     7.4     7.4 1
-1841 10  9     6.7     6.7     6.7 1
-1841 10 10     5.2     5.2     5.2 1
-1841 10 11     6.5     6.5     6.5 1
-1841 10 12     9.6     9.6     9.6 1
-1841 10 13    10.1    10.1    10.1 1
-1841 10 14     7.1     7.1     7.1 1
-1841 10 15     9.4     9.4     9.4 1
-1841 10 16     4.7     4.7     4.7 1
-1841 10 17     2.9     2.9     2.9 1
-1841 10 18     2.9     2.9     2.9 1
-1841 10 19     2.6     2.6     2.6 1
-1841 10 20     5.3     5.3     5.3 1
-1841 10 21     6.7     6.7     6.7 1
-1841 10 22     3.7     3.7     3.7 1
-1841 10 23     2.5     2.5     2.5 1
-1841 10 24     7.1     7.1     7.1 1
-1841 10 25     8.7     8.7     8.7 1
-1841 10 26     6.8     6.8     6.8 1
-1841 10 27     3.8     3.8     3.8 1
-1841 10 28     0.3     0.3     0.3 1
-1841 10 29     1.0     1.0     1.0 1
-1841 10 30     2.8     2.8     2.8 1
-1841 10 31     4.1     4.1     4.1 1
-1841 11  1     3.0     3.0     3.0 1
-1841 11  2     5.0     5.0     5.0 1
-1841 11  3     5.0     5.0     5.0 1
-1841 11  4     4.2     4.2     4.2 1
-1841 11  5     4.6     4.6     4.6 1
-1841 11  6     3.8     3.8     3.8 1
-1841 11  7     7.2     7.2     7.2 1
-1841 11  8     6.6     6.6     6.6 1
-1841 11  9     1.2     1.2     1.2 1
-1841 11 10     3.4     3.4     3.4 1
-1841 11 11    -0.8    -0.8    -0.8 1
-1841 11 12    -3.8    -3.8    -3.8 1
-1841 11 13    -7.2    -7.2    -7.2 1
-1841 11 14    -6.6    -6.6    -6.6 1
-1841 11 15     0.3     0.3     0.3 1
-1841 11 16     1.3     1.3     1.3 1
-1841 11 17    -6.6    -6.6    -6.6 1
-1841 11 18    -5.6    -5.6    -5.6 1
-1841 11 19    -7.0    -7.0    -7.0 1
-1841 11 20    -1.8    -1.8    -1.8 1
-1841 11 21     2.1     2.1     2.1 1
-1841 11 22     3.6     3.6     3.6 1
-1841 11 23     5.5     5.5     5.5 1
-1841 11 24     2.9     2.9     2.9 1
-1841 11 25     1.0     1.0     1.0 1
-1841 11 26     0.2     0.2     0.2 1
-1841 11 27     0.9     0.9     0.9 1
-1841 11 28    -1.7    -1.7    -1.7 1
-1841 11 29    -0.5    -0.5    -0.5 1
-1841 11 30     4.4     4.4     4.4 1
-1841 12  1     6.7     6.7     6.7 1
-1841 12  2     4.2     4.2     4.2 1
-1841 12  3     1.3     1.3     1.3 1
-1841 12  4     1.9     1.9     1.9 1
-1841 12  5     3.3     3.3     3.3 1
-1841 12  6     1.7     1.7     1.7 1
-1841 12  7     3.9     3.9     3.9 1
-1841 12  8     3.9     3.9     3.9 1
-1841 12  9     3.3     3.3     3.3 1
-1841 12 10    -0.8    -0.8    -0.8 1
-1841 12 11     1.0     1.0     1.0 1
-1841 12 12    -3.1    -3.1    -3.1 1
-1841 12 13     2.4     2.4     2.4 1
-1841 12 14     4.3     4.3     4.3 1
-1841 12 15     1.1     1.1     1.1 1
-1841 12 16     3.0     3.0     3.0 1
-1841 12 17     2.8     2.8     2.8 1
-1841 12 18     2.9     2.9     2.9 1
-1841 12 19     1.3     1.3     1.3 1
-1841 12 20     1.7     1.7     1.7 1
-1841 12 21     1.1     1.1     1.1 1
-1841 12 22     0.2     0.2     0.2 1
-1841 12 23    -0.8    -0.8    -0.8 1
-1841 12 24     1.0     1.0     1.0 1
-1841 12 25     2.7     2.7     2.7 1
-1841 12 26     2.8     2.8     2.8 1
-1841 12 27     3.1     3.1     3.1 1
-1841 12 28     0.0     0.0     0.0 1
-1841 12 29    -0.3    -0.3    -0.3 1
-1841 12 30     1.4     1.4     1.4 1
-1841 12 31     0.6     0.6     0.6 1
-1842  1  1     1.2     1.2     1.2 1
-1842  1  2    -1.5    -1.5    -1.5 1
-1842  1  3    -3.0    -3.0    -3.0 1
-1842  1  4    -2.8    -2.8    -2.8 1
-1842  1  5    -3.6    -3.6    -3.6 1
-1842  1  6    -7.3    -7.3    -7.3 1
-1842  1  7    -9.5    -9.5    -9.5 1
-1842  1  8    -5.2    -5.2    -5.2 1
-1842  1  9    -6.1    -6.1    -6.1 1
-1842  1 10    -4.6    -4.6    -4.6 1
-1842  1 11    -2.8    -2.8    -2.8 1
-1842  1 12    -2.4    -2.4    -2.4 1
-1842  1 13    -0.3    -0.3    -0.3 1
-1842  1 14     0.0     0.0     0.0 1
-1842  1 15    -1.0    -1.0    -1.0 1
-1842  1 16    -0.3    -0.3    -0.3 1
-1842  1 17     0.3     0.3     0.3 1
-1842  1 18     0.6     0.6     0.6 1
-1842  1 19     0.0     0.0     0.0 1
-1842  1 20    -0.6    -0.6    -0.6 1
-1842  1 21    -1.1    -1.1    -1.1 1
-1842  1 22    -3.1    -3.1    -3.1 1
-1842  1 23    -4.0    -4.0    -4.0 1
-1842  1 24    -3.0    -3.0    -3.0 1
-1842  1 25    -3.5    -3.5    -3.5 1
-1842  1 26    -2.5    -2.5    -2.5 1
-1842  1 27    -2.3    -2.3    -2.3 1
-1842  1 28     0.2     0.2     0.2 1
-1842  1 29     0.6     0.6     0.6 1
-1842  1 30     0.0     0.0     0.0 1
-1842  1 31    -0.9    -0.9    -0.9 1
-1842  2  1    -3.5    -3.5    -3.5 1
-1842  2  2    -1.5    -1.5    -1.5 1
-1842  2  3    -3.8    -3.8    -3.8 1
-1842  2  4     0.2     0.2     0.2 1
-1842  2  5    -0.3    -0.3    -0.3 1
-1842  2  6    -0.8    -0.8    -0.8 1
-1842  2  7    -1.9    -1.9    -1.9 1
-1842  2  8    -1.3    -1.3    -1.3 1
-1842  2  9    -1.8    -1.8    -1.8 1
-1842  2 10    -1.4    -1.4    -1.4 1
-1842  2 11     2.0     2.0     2.0 1
-1842  2 12     3.6     3.6     3.6 1
-1842  2 13     3.9     3.9     3.9 1
-1842  2 14     1.7     1.7     1.7 1
-1842  2 15     0.9     0.9     0.9 1
-1842  2 16     2.8     2.8     2.8 1
-1842  2 17     3.3     3.3     3.3 1
-1842  2 18     1.7     1.7     1.7 1
-1842  2 19     2.3     2.3     2.3 1
-1842  2 20     3.7     3.7     3.7 1
-1842  2 21     1.8     1.8     1.8 1
-1842  2 22     0.9     0.9     0.9 1
-1842  2 23    -1.6    -1.6    -1.6 1
-1842  2 24    -0.2    -0.2    -0.2 1
-1842  2 25     0.0     0.0     0.0 1
-1842  2 26     1.0     1.0     1.0 1
-1842  2 27     1.5     1.5     1.5 1
-1842  2 28     0.3     0.3     0.3 1
-1842  3  1     0.9     0.9     0.9 1
-1842  3  2     2.4     2.4     2.4 1
-1842  3  3    -0.7    -0.7    -0.7 1
-1842  3  4     0.4     0.4     0.4 1
-1842  3  5    -3.9    -3.9    -3.9 1
-1842  3  6    -5.2    -5.2    -5.2 1
-1842  3  7    -3.3    -3.3    -3.3 1
-1842  3  8    -0.8    -0.8    -0.8 1
-1842  3  9     0.7     0.7     0.7 1
-1842  3 10     0.9     0.9     0.9 1
-1842  3 11    -0.1    -0.1    -0.1 1
-1842  3 12     0.3     0.3     0.3 1
-1842  3 13     0.4     0.4     0.4 1
-1842  3 14     1.3     1.3     1.3 1
-1842  3 15     3.0     3.0     3.0 1
-1842  3 16     4.4     4.4     4.4 1
-1842  3 17     2.9     2.9     2.9 1
-1842  3 18     1.0     1.0     1.0 1
-1842  3 19     1.1     1.1     1.1 1
-1842  3 20     0.3     0.3     0.3 1
-1842  3 21     0.4     0.4     0.4 1
-1842  3 22    -3.7    -3.7    -3.7 1
-1842  3 23    -5.1    -5.1    -5.1 1
-1842  3 24    -2.9    -2.9    -2.9 1
-1842  3 25     2.5     2.5     2.5 1
-1842  3 26     2.3     2.3     2.3 1
-1842  3 27     2.4     2.4     2.4 1
-1842  3 28    -0.8    -0.8    -0.8 1
-1842  3 29     0.3     0.3     0.3 1
-1842  3 30     3.2     3.2     3.2 1
-1842  3 31     2.4     2.4     2.4 1
-1842  4  1     0.4     0.4     0.4 1
-1842  4  2     0.3     0.3     0.3 1
-1842  4  3    -0.8    -0.8    -0.8 1
-1842  4  4     0.5     0.5     0.5 1
-1842  4  5     5.6     5.6     5.6 1
-1842  4  6     6.0     6.0     6.0 1
-1842  4  7     0.4     0.4     0.4 1
-1842  4  8    -4.1    -4.1    -4.1 1
-1842  4  9    -1.8    -1.8    -1.8 1
-1842  4 10     1.5     1.5     1.5 1
-1842  4 11     0.5     0.5     0.5 1
-1842  4 12     0.8     0.8     0.8 1
-1842  4 13     1.6     1.6     1.6 1
-1842  4 14     2.7     2.7     2.7 1
-1842  4 15    -1.7    -1.7    -1.7 1
-1842  4 16     0.7     0.7     0.7 1
-1842  4 17     5.3     5.3     5.3 1
-1842  4 18     1.8     1.8     1.8 1
-1842  4 19     7.0     7.0     7.0 1
-1842  4 20     8.9     8.9     8.9 1
-1842  4 21     7.9     7.9     7.9 1
-1842  4 22     9.0     9.0     9.0 1
-1842  4 23     5.6     5.6     5.6 1
-1842  4 24     1.7     1.7     1.7 1
-1842  4 25     2.6     2.6     2.6 1
-1842  4 26     6.5     6.5     6.5 1
-1842  4 27    10.3    10.3    10.3 1
-1842  4 28     4.9     4.9     4.9 1
-1842  4 29     5.2     5.2     5.2 1
-1842  4 30     8.8     8.8     8.8 1
-1842  5  1     7.2     7.2     7.2 1
-1842  5  2    10.1    10.1    10.1 1
-1842  5  3    12.6    12.6    12.6 1
-1842  5  4    11.7    11.7    11.7 1
-1842  5  5    10.5    10.5    10.4 1
-1842  5  6    10.1    10.1    10.0 1
-1842  5  7     9.8     9.8     9.7 1
-1842  5  8     8.1     8.1     8.0 1
-1842  5  9    10.2    10.2    10.1 1
-1842  5 10    11.2    11.2    11.0 1
-1842  5 11     9.8     9.8     9.6 1
-1842  5 12     9.2     9.2     9.0 1
-1842  5 13     7.8     7.8     7.6 1
-1842  5 14     6.2     6.2     5.9 1
-1842  5 15     7.6     7.6     7.3 1
-1842  5 16     7.9     7.9     7.6 1
-1842  5 17     8.1     8.1     7.8 1
-1842  5 18    10.1    10.1     9.8 1
-1842  5 19    10.8    10.8    10.4 1
-1842  5 20     9.8     9.8     9.4 1
-1842  5 21     7.5     7.5     7.1 1
-1842  5 22    11.1    11.1    10.7 1
-1842  5 23    13.3    13.3    12.8 1
-1842  5 24    13.9    13.9    13.4 1
-1842  5 25    13.6    13.6    13.1 1
-1842  5 26    11.4    11.4    10.9 1
-1842  5 27    15.4    15.4    14.9 1
-1842  5 28    17.1    17.1    16.5 1
-1842  5 29    18.7    18.7    18.1 1
-1842  5 30    16.9    16.9    16.3 1
-1842  5 31    17.6    17.6    17.0 1
-1842  6  1    15.2    15.2    14.5 1
-1842  6  2    13.1    13.1    12.4 1
-1842  6  3    10.5    10.5     9.8 1
-1842  6  4    13.7    13.7    13.0 1
-1842  6  5    15.9    15.9    15.2 1
-1842  6  6    17.7    17.7    17.0 1
-1842  6  7    19.0    19.0    18.3 1
-1842  6  8    20.7    20.7    20.0 1
-1842  6  9    19.3    19.3    18.6 1
-1842  6 10    13.5    13.5    12.8 1
-1842  6 11    18.4    18.4    17.7 1
-1842  6 12    17.7    17.7    17.0 1
-1842  6 13    13.7    13.7    13.0 1
-1842  6 14    15.6    15.6    14.9 1
-1842  6 15    10.9    10.9    10.2 1
-1842  6 16     9.4     9.4     8.7 1
-1842  6 17     9.0     9.0     8.3 1
-1842  6 18     9.4     9.4     8.7 1
-1842  6 19    12.5    12.5    11.8 1
-1842  6 20    12.3    12.3    11.6 1
-1842  6 21    13.9    13.9    13.2 1
-1842  6 22    15.1    15.1    14.4 1
-1842  6 23    14.4    14.4    13.7 1
-1842  6 24    14.1    14.1    13.4 1
-1842  6 25    13.2    13.2    12.5 1
-1842  6 26    12.5    12.5    11.8 1
-1842  6 27    11.5    11.5    10.8 1
-1842  6 28    12.4    12.4    11.7 1
-1842  6 29    12.9    12.9    12.2 1
-1842  6 30    13.2    13.2    12.5 1
-1842  7  1    13.4    13.4    12.7 1
-1842  7  2    10.4    10.4     9.7 1
-1842  7  3    12.0    12.0    11.3 1
-1842  7  4    14.5    14.5    13.8 1
-1842  7  5    15.2    15.2    14.5 1
-1842  7  6    16.0    16.0    15.3 1
-1842  7  7    16.6    16.6    15.9 1
-1842  7  8    17.0    17.0    16.3 1
-1842  7  9    17.6    17.6    16.9 1
-1842  7 10    18.8    18.8    18.1 1
-1842  7 11    17.5    17.5    16.8 1
-1842  7 12    17.6    17.6    16.9 1
-1842  7 13    15.5    15.5    14.8 1
-1842  7 14    18.5    18.5    17.8 1
-1842  7 15    16.0    16.0    15.3 1
-1842  7 16    14.3    14.3    13.6 1
-1842  7 17    13.4    13.4    12.7 1
-1842  7 18    15.3    15.3    14.6 1
-1842  7 19    11.9    11.9    11.2 1
-1842  7 20    13.1    13.1    12.4 1
-1842  7 21    14.4    14.4    13.7 1
-1842  7 22    13.7    13.7    13.0 1
-1842  7 23    13.7    13.7    13.0 1
-1842  7 24    14.7    14.7    14.0 1
-1842  7 25    12.2    12.2    11.5 1
-1842  7 26    12.5    12.5    11.8 1
-1842  7 27    15.2    15.2    14.5 1
-1842  7 28    14.5    14.5    13.8 1
-1842  7 29    14.0    14.0    13.3 1
-1842  7 30    14.8    14.8    14.1 1
-1842  7 31    17.8    17.8    17.1 1
-1842  8  1    18.7    18.7    18.1 1
-1842  8  2    17.2    17.2    16.6 1
-1842  8  3    16.7    16.7    16.1 1
-1842  8  4    16.3    16.3    15.7 1
-1842  8  5    17.1    17.1    16.6 1
-1842  8  6    19.6    19.6    19.1 1
-1842  8  7    18.2    18.2    17.7 1
-1842  8  8    17.6    17.6    17.1 1
-1842  8  9    17.4    17.4    16.9 1
-1842  8 10    18.6    18.6    18.2 1
-1842  8 11    19.4    19.4    19.0 1
-1842  8 12    19.8    19.8    19.4 1
-1842  8 13    18.2    18.2    17.8 1
-1842  8 14    20.2    20.2    19.9 1
-1842  8 15    19.9    19.9    19.6 1
-1842  8 16    19.6    19.6    19.3 1
-1842  8 17    16.3    16.3    16.0 1
-1842  8 18    17.4    17.4    17.1 1
-1842  8 19    20.2    20.2    20.0 1
-1842  8 20    19.5    19.5    19.3 1
-1842  8 21    18.8    18.8    18.6 1
-1842  8 22    19.4    19.4    19.2 1
-1842  8 23    18.2    18.2    18.1 1
-1842  8 24    19.9    19.9    19.8 1
-1842  8 25    20.1    20.1    20.0 1
-1842  8 26    18.6    18.6    18.5 1
-1842  8 27    19.0    19.0    18.9 1
-1842  8 28    19.6    19.6    19.6 1
-1842  8 29    19.8    19.8    19.8 1
-1842  8 30    20.0    20.0    20.0 1
-1842  8 31    20.1    20.1    20.1 1
-1842  9  1    20.2    20.2    20.2 1
-1842  9  2    17.7    17.7    17.7 1
-1842  9  3    17.1    17.1    17.1 1
-1842  9  4     8.8     8.8     8.8 1
-1842  9  5     7.8     7.8     7.8 1
-1842  9  6     8.9     8.9     8.9 1
-1842  9  7    12.4    12.4    12.4 1
-1842  9  8     7.7     7.7     7.7 1
-1842  9  9     9.4     9.4     9.4 1
-1842  9 10     9.0     9.0     9.0 1
-1842  9 11     9.9     9.9     9.9 1
-1842  9 12    10.5    10.5    10.5 1
-1842  9 13    10.6    10.6    10.6 1
-1842  9 14    11.6    11.6    11.6 1
-1842  9 15    11.2    11.2    11.2 1
-1842  9 16    11.2    11.2    11.2 1
-1842  9 17    11.8    11.8    11.8 1
-1842  9 18    12.7    12.7    12.7 1
-1842  9 19    12.6    12.6    12.6 1
-1842  9 20    15.6    15.6    15.6 1
-1842  9 21    14.1    14.1    14.1 1
-1842  9 22    13.0    13.0    13.0 1
-1842  9 23    12.8    12.8    12.8 1
-1842  9 24    10.2    10.2    10.2 1
-1842  9 25     5.1     5.1     5.1 1
-1842  9 26     4.6     4.6     4.6 1
-1842  9 27     4.0     4.0     4.0 1
-1842  9 28     5.5     5.5     5.5 1
-1842  9 29     4.0     4.0     4.0 1
-1842  9 30     5.0     5.0     5.0 1
-1842 10  1     7.3     7.3     7.3 1
-1842 10  2     9.5     9.5     9.5 1
-1842 10  3     4.8     4.8     4.8 1
-1842 10  4     1.0     1.0     1.0 1
-1842 10  5     1.7     1.7     1.7 1
-1842 10  6     1.8     1.8     1.8 1
-1842 10  7     3.7     3.7     3.7 1
-1842 10  8     7.1     7.1     7.1 1
-1842 10  9     7.5     7.5     7.5 1
-1842 10 10     4.9     4.9     4.9 1
-1842 10 11     7.0     7.0     7.0 1
-1842 10 12     4.3     4.3     4.3 1
-1842 10 13     4.3     4.3     4.3 1
-1842 10 14     6.6     6.6     6.6 1
-1842 10 15    11.0    11.0    11.0 1
-1842 10 16     6.4     6.4     6.4 1
-1842 10 17     6.1     6.1     6.1 1
-1842 10 18     8.1     8.1     8.1 1
-1842 10 19     8.5     8.5     8.5 1
-1842 10 20     6.3     6.3     6.3 1
-1842 10 21     3.5     3.5     3.5 1
-1842 10 22     1.1     1.1     1.1 1
-1842 10 23     3.9     3.9     3.9 1
-1842 10 24     5.5     5.5     5.5 1
-1842 10 25     6.7     6.7     6.7 1
-1842 10 26     4.7     4.7     4.7 1
-1842 10 27     6.5     6.5     6.5 1
-1842 10 28     6.2     6.2     6.2 1
-1842 10 29     1.3     1.3     1.3 1
-1842 10 30     2.4     2.4     2.4 1
-1842 10 31     3.4     3.4     3.4 1
-1842 11  1     1.5     1.5     1.5 1
-1842 11  2    -0.3    -0.3    -0.3 1
-1842 11  3    -0.8    -0.8    -0.8 1
-1842 11  4    -1.0    -1.0    -1.0 1
-1842 11  5     0.0     0.0     0.0 1
-1842 11  6    -1.4    -1.4    -1.4 1
-1842 11  7     0.4     0.4     0.4 1
-1842 11  8     1.2     1.2     1.2 1
-1842 11  9     2.3     2.3     2.3 1
-1842 11 10     2.3     2.3     2.3 1
-1842 11 11     3.3     3.3     3.3 1
-1842 11 12     4.3     4.3     4.3 1
-1842 11 13     5.6     5.6     5.6 1
-1842 11 14     2.3     2.3     2.3 1
-1842 11 15    -2.7    -2.7    -2.7 1
-1842 11 16    -3.4    -3.4    -3.4 1
-1842 11 17    -4.2    -4.2    -4.2 1
-1842 11 18    -0.7    -0.7    -0.7 1
-1842 11 19    -1.4    -1.4    -1.4 1
-1842 11 20    -0.2    -0.2    -0.2 1
-1842 11 21    -1.8    -1.8    -1.8 1
-1842 11 22    -5.9    -5.9    -5.9 1
-1842 11 23   -12.7   -12.7   -12.7 1
-1842 11 24   -11.0   -11.0   -11.0 1
-1842 11 25    -3.1    -3.1    -3.1 1
-1842 11 26    -0.9    -0.9    -0.9 1
-1842 11 27    -1.9    -1.9    -1.9 1
-1842 11 28    -4.5    -4.5    -4.5 1
-1842 11 29     3.0     3.0     3.0 1
-1842 11 30     2.6     2.6     2.6 1
-1842 12  1     0.0     0.0     0.0 1
-1842 12  2     2.2     2.2     2.2 1
-1842 12  3     7.2     7.2     7.2 1
-1842 12  4     3.4     3.4     3.4 1
-1842 12  5     6.5     6.5     6.5 1
-1842 12  6     2.2     2.2     2.2 1
-1842 12  7     0.5     0.5     0.5 1
-1842 12  8     3.0     3.0     3.0 1
-1842 12  9     1.0     1.0     1.0 1
-1842 12 10    -0.1    -0.1    -0.1 1
-1842 12 11     0.0     0.0     0.0 1
-1842 12 12    -1.2    -1.2    -1.2 1
-1842 12 13     1.3     1.3     1.3 1
-1842 12 14     7.1     7.1     7.1 1
-1842 12 15     3.4     3.4     3.4 1
-1842 12 16     6.3     6.3     6.3 1
-1842 12 17     2.2     2.2     2.2 1
-1842 12 18     1.7     1.7     1.7 1
-1842 12 19    -1.0    -1.0    -1.0 1
-1842 12 20     0.0     0.0     0.0 1
-1842 12 21     4.0     4.0     4.0 1
-1842 12 22     1.6     1.6     1.6 1
-1842 12 23     4.4     4.4     4.4 1
-1842 12 24     1.3     1.3     1.3 1
-1842 12 25     2.0     2.0     2.0 1
-1842 12 26     6.8     6.8     6.8 1
-1842 12 27     5.6     5.6     5.6 1
-1842 12 28     3.3     3.3     3.3 1
-1842 12 29     1.7     1.7     1.7 1
-1842 12 30    -2.0    -2.0    -2.0 1
-1842 12 31    -2.0    -2.0    -2.0 1
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-1843  1  2    -6.2    -6.2    -6.2 1
-1843  1  3   -11.2   -11.2   -11.2 1
-1843  1  4    -3.8    -3.8    -3.8 1
-1843  1  5     0.0     0.0     0.0 1
-1843  1  6    -2.8    -2.8    -2.8 1
-1843  1  7    -1.9    -1.9    -1.9 1
-1843  1  8     1.1     1.1     1.1 1
-1843  1  9    -3.0    -3.0    -3.0 1
-1843  1 10    -1.5    -1.5    -1.5 1
-1843  1 11    -0.3    -0.3    -0.3 1
-1843  1 12    -1.1    -1.1    -1.1 1
-1843  1 13     0.3     0.3     0.3 1
-1843  1 14     2.0     2.0     2.0 1
-1843  1 15     1.3     1.3     1.3 1
-1843  1 16     0.4     0.4     0.4 1
-1843  1 17     0.4     0.4     0.4 1
-1843  1 18     2.0     2.0     2.0 1
-1843  1 19     2.9     2.9     2.9 1
-1843  1 20     2.7     2.7     2.7 1
-1843  1 21     1.9     1.9     1.9 1
-1843  1 22     0.8     0.8     0.8 1
-1843  1 23     1.4     1.4     1.4 1
-1843  1 24     0.0     0.0     0.0 1
-1843  1 25    -1.1    -1.1    -1.1 1
-1843  1 26    -0.2    -0.2    -0.2 1
-1843  1 27     2.0     2.0     2.0 1
-1843  1 28     5.3     5.3     5.3 1
-1843  1 29     1.4     1.4     1.4 1
-1843  1 30    -2.1    -2.1    -2.1 1
-1843  1 31    -2.9    -2.9    -2.9 1
-1843  2  1     1.5     1.5     1.5 1
-1843  2  2     1.8     1.8     1.8 1
-1843  2  3     0.3     0.3     0.3 1
-1843  2  4     2.4     2.4     2.4 1
-1843  2  5     1.0     1.0     1.0 1
-1843  2  6     1.5     1.5     1.5 1
-1843  2  7     0.3     0.3     0.3 1
-1843  2  8    -2.0    -2.0    -2.0 1
-1843  2  9    -1.5    -1.5    -1.5 1
-1843  2 10    -4.2    -4.2    -4.2 1
-1843  2 11    -4.3    -4.3    -4.3 1
-1843  2 12    -1.1    -1.1    -1.1 1
-1843  2 13    -2.0    -2.0    -2.0 1
-1843  2 14    -1.8    -1.8    -1.8 1
-1843  2 15    -9.3    -9.3    -9.3 1
-1843  2 16    -7.2    -7.2    -7.2 1
-1843  2 17    -6.1    -6.1    -6.1 1
-1843  2 18    -7.7    -7.7    -7.7 1
-1843  2 19    -5.2    -5.2    -5.2 1
-1843  2 20    -5.0    -5.0    -5.0 1
-1843  2 21    -7.3    -7.3    -7.3 1
-1843  2 22    -5.5    -5.5    -5.5 1
-1843  2 23    -3.8    -3.8    -3.8 1
-1843  2 24    -4.4    -4.4    -4.4 1
-1843  2 25    -5.2    -5.2    -5.2 1
-1843  2 26    -5.3    -5.3    -5.3 1
-1843  2 27    -5.4    -5.4    -5.4 1
-1843  2 28    -5.7    -5.7    -5.7 1
-1843  3  1    -5.7    -5.7    -5.7 1
-1843  3  2    -6.5    -6.5    -6.5 1
-1843  3  3    -8.4    -8.4    -8.4 1
-1843  3  4    -2.4    -2.4    -2.4 1
-1843  3  5    -2.1    -2.1    -2.1 1
-1843  3  6     2.9     2.9     2.9 1
-1843  3  7     0.0     0.0     0.0 1
-1843  3  8    -1.2    -1.2    -1.2 1
-1843  3  9    -0.3    -0.3    -0.3 1
-1843  3 10     0.5     0.5     0.5 1
-1843  3 11     0.4     0.4     0.4 1
-1843  3 12     0.6     0.6     0.6 1
-1843  3 13     0.3     0.3     0.3 1
-1843  3 14    -3.5    -3.5    -3.5 1
-1843  3 15    -4.7    -4.7    -4.7 1
-1843  3 16    -4.8    -4.8    -4.8 1
-1843  3 17    -4.2    -4.2    -4.2 1
-1843  3 18    -4.7    -4.7    -4.7 1
-1843  3 19    -7.5    -7.5    -7.5 1
-1843  3 20    -5.1    -5.1    -5.1 1
-1843  3 21    -1.8    -1.8    -1.8 1
-1843  3 22    -0.5    -0.5    -0.5 1
-1843  3 23    -2.3    -2.3    -2.3 1
-1843  3 24    -1.0    -1.0    -1.0 1
-1843  3 25    -2.3    -2.3    -2.3 1
-1843  3 26    -5.2    -5.2    -5.2 1
-1843  3 27    -0.4    -0.4    -0.4 1
-1843  3 28     1.5     1.5     1.5 1
-1843  3 29     1.5     1.5     1.5 1
-1843  3 30     0.1     0.1     0.1 1
-1843  3 31     1.4     1.4     1.4 1
-1843  4  1     1.5     1.5     1.5 1
-1843  4  2    -1.4    -1.4    -1.4 1
-1843  4  3    -2.3    -2.3    -2.3 1
-1843  4  4    -3.5    -3.5    -3.5 1
-1843  4  5    -4.8    -4.8    -4.8 1
-1843  4  6    -0.8    -0.8    -0.8 1
-1843  4  7     2.0     2.0     2.0 1
-1843  4  8    -1.5    -1.5    -1.5 1
-1843  4  9    -2.9    -2.9    -2.9 1
-1843  4 10    -2.8    -2.8    -2.8 1
-1843  4 11    -3.2    -3.2    -3.2 1
-1843  4 12    -7.2    -7.2    -7.2 1
-1843  4 13    -3.4    -3.4    -3.4 1
-1843  4 14    -1.2    -1.2    -1.2 1
-1843  4 15    -0.8    -0.8    -0.8 1
-1843  4 16     2.9     2.9     2.9 1
-1843  4 17     4.6     4.6     4.6 1
-1843  4 18     3.2     3.2     3.2 1
-1843  4 19     4.2     4.2     4.2 1
-1843  4 20     2.3     2.3     2.3 1
-1843  4 21     2.4     2.4     2.4 1
-1843  4 22     0.5     0.5     0.5 1
-1843  4 23     2.1     2.1     2.1 1
-1843  4 24     3.4     3.4     3.4 1
-1843  4 25     2.7     2.7     2.7 1
-1843  4 26     5.0     5.0     5.0 1
-1843  4 27     7.6     7.6     7.6 1
-1843  4 28     7.6     7.6     7.6 1
-1843  4 29     7.4     7.4     7.4 1
-1843  4 30     8.7     8.7     8.7 1
-1843  5  1    10.8    10.8    10.8 1
-1843  5  2     8.1     8.1     8.1 1
-1843  5  3     4.8     4.8     4.8 1
-1843  5  4     5.5     5.5     5.5 1
-1843  5  5     4.7     4.7     4.6 1
-1843  5  6     4.6     4.6     4.5 1
-1843  5  7     4.4     4.4     4.3 1
-1843  5  8     5.1     5.1     5.0 1
-1843  5  9     3.8     3.8     3.7 1
-1843  5 10     3.7     3.7     3.5 1
-1843  5 11     5.5     5.5     5.3 1
-1843  5 12     2.7     2.7     2.5 1
-1843  5 13     1.8     1.8     1.6 1
-1843  5 14     2.9     2.9     2.6 1
-1843  5 15     2.2     2.2     1.9 1
-1843  5 16     1.8     1.8     1.5 1
-1843  5 17     3.8     3.8     3.5 1
-1843  5 18     4.5     4.5     4.2 1
-1843  5 19     5.2     5.2     4.8 1
-1843  5 20     6.5     6.5     6.1 1
-1843  5 21     8.9     8.9     8.5 1
-1843  5 22     7.7     7.7     7.3 1
-1843  5 23     7.9     7.9     7.4 1
-1843  5 24    10.2    10.2     9.7 1
-1843  5 25    13.5    13.5    13.0 1
-1843  5 26    12.2    12.2    11.7 1
-1843  5 27    10.8    10.8    10.3 1
-1843  5 28    11.1    11.1    10.5 1
-1843  5 29    10.4    10.4     9.8 1
-1843  5 30     5.6     5.6     5.0 1
-1843  5 31     7.5     7.5     6.9 1
-1843  6  1     7.5     7.5     6.8 1
-1843  6  2     8.6     8.6     7.9 1
-1843  6  3    11.6    11.6    10.9 1
-1843  6  4    15.0    15.0    14.3 1
-1843  6  5    10.8    10.8    10.1 1
-1843  6  6    12.0    12.0    11.3 1
-1843  6  7    11.8    11.8    11.1 1
-1843  6  8    12.1    12.1    11.4 1
-1843  6  9    11.8    11.8    11.1 1
-1843  6 10    12.0    12.0    11.3 1
-1843  6 11    14.1    14.1    13.4 1
-1843  6 12    17.2    17.2    16.5 1
-1843  6 13    14.9    14.9    14.2 1
-1843  6 14    13.6    13.6    12.9 1
-1843  6 15    15.7    15.7    15.0 1
-1843  6 16    16.6    16.6    15.9 1
-1843  6 17    19.1    19.1    18.4 1
-1843  6 18    16.3    16.3    15.6 1
-1843  6 19     9.7     9.7     9.0 1
-1843  6 20    10.1    10.1     9.4 1
-1843  6 21    13.6    13.6    12.9 1
-1843  6 22    16.2    16.2    15.5 1
-1843  6 23    12.4    12.4    11.7 1
-1843  6 24    11.6    11.6    10.9 1
-1843  6 25    14.0    14.0    13.3 1
-1843  6 26    13.0    13.0    12.3 1
-1843  6 27    12.1    12.1    11.4 1
-1843  6 28    11.1    11.1    10.4 1
-1843  6 29     9.6     9.6     8.9 1
-1843  6 30    12.4    12.4    11.7 1
-1843  7  1    14.7    14.7    14.0 1
-1843  7  2    16.4    16.4    15.7 1
-1843  7  3    15.2    15.2    14.5 1
-1843  7  4    19.0    19.0    18.3 1
-1843  7  5    20.4    20.4    19.7 1
-1843  7  6    20.4    20.4    19.7 1
-1843  7  7    21.4    21.4    20.7 1
-1843  7  8    21.4    21.4    20.7 1
-1843  7  9    22.3    22.3    21.6 1
-1843  7 10    20.2    20.2    19.5 1
-1843  7 11    18.6    18.6    17.9 1
-1843  7 12    19.3    19.3    18.6 1
-1843  7 13    21.7    21.7    21.0 1
-1843  7 14    22.1    22.1    21.4 1
-1843  7 15    20.4    20.4    19.7 1
-1843  7 16    18.9    18.9    18.2 1
-1843  7 17    16.8    16.8    16.1 1
-1843  7 18    16.4    16.4    15.7 1
-1843  7 19    13.1    13.1    12.4 1
-1843  7 20    16.0    16.0    15.3 1
-1843  7 21    15.8    15.8    15.1 1
-1843  7 22    13.9    13.9    13.2 1
-1843  7 23    12.5    12.5    11.8 1
-1843  7 24    12.6    12.6    11.9 1
-1843  7 25    15.6    15.6    14.9 1
-1843  7 26    15.0    15.0    14.3 1
-1843  7 27    12.9    12.9    12.2 1
-1843  7 28    13.0    13.0    12.3 1
-1843  7 29    14.9    14.9    14.2 1
-1843  7 30    14.6    14.6    13.9 1
-1843  7 31    15.7    15.7    15.0 1
-1843  8  1    15.5    15.5    14.9 1
-1843  8  2    16.5    16.5    15.9 1
-1843  8  3    17.6    17.6    17.0 1
-1843  8  4    15.8    15.8    15.2 1
-1843  8  5    18.3    18.3    17.8 1
-1843  8  6    17.0    17.0    16.5 1
-1843  8  7    16.4    16.4    15.9 1
-1843  8  8    17.3    17.3    16.8 1
-1843  8  9    19.0    19.0    18.5 1
-1843  8 10    21.3    21.3    20.9 1
-1843  8 11    22.4    22.4    22.0 1
-1843  8 12    21.8    21.8    21.4 1
-1843  8 13    19.1    19.1    18.7 1
-1843  8 14    17.2    17.2    16.9 1
-1843  8 15    16.6    16.6    16.3 1
-1843  8 16    17.2    17.2    16.9 1
-1843  8 17    18.7    18.7    18.4 1
-1843  8 18    19.5    19.5    19.2 1
-1843  8 19    20.0    20.0    19.8 1
-1843  8 20    20.2    20.2    20.0 1
-1843  8 21    19.8    19.8    19.6 1
-1843  8 22    20.1    20.1    19.9 1
-1843  8 23    19.7    19.7    19.6 1
-1843  8 24    20.4    20.4    20.3 1
-1843  8 25    21.2    21.2    21.1 1
-1843  8 26    21.2    21.2    21.1 1
-1843  8 27    21.0    21.0    20.9 1
-1843  8 28    18.5    18.5    18.5 1
-1843  8 29    17.6    17.6    17.6 1
-1843  8 30    17.2    17.2    17.2 1
-1843  8 31    15.5    15.5    15.5 1
-1843  9  1    14.0    14.0    14.0 1
-1843  9  2    11.3    11.3    11.3 1
-1843  9  3    11.7    11.7    11.7 1
-1843  9  4    12.3    12.3    12.3 1
-1843  9  5    11.3    11.3    11.3 1
-1843  9  6    10.8    10.8    10.8 1
-1843  9  7    13.2    13.2    13.2 1
-1843  9  8    16.1    16.1    16.1 1
-1843  9  9    16.2    16.2    16.2 1
-1843  9 10    11.5    11.5    11.5 1
-1843  9 11     9.4     9.4     9.4 1
-1843  9 12    13.0    13.0    13.0 1
-1843  9 13    15.7    15.7    15.7 1
-1843  9 14    16.4    16.4    16.4 1
-1843  9 15    16.5    16.5    16.5 1
-1843  9 16    16.1    16.1    16.1 1
-1843  9 17    15.8    15.8    15.8 1
-1843  9 18    15.4    15.4    15.4 1
-1843  9 19    16.5    16.5    16.5 1
-1843  9 20    12.9    12.9    12.9 1
-1843  9 21    13.2    13.2    13.2 1
-1843  9 22    12.2    12.2    12.2 1
-1843  9 23    12.4    12.4    12.4 1
-1843  9 24    10.8    10.8    10.8 1
-1843  9 25     3.6     3.6     3.6 1
-1843  9 26     2.7     2.7     2.7 1
-1843  9 27     3.4     3.4     3.4 1
-1843  9 28     4.5     4.5     4.5 1
-1843  9 29     7.4     7.4     7.4 1
-1843  9 30     8.1     8.1     8.1 1
-1843 10  1     6.1     6.1     6.1 1
-1843 10  2     8.6     8.6     8.6 1
-1843 10  3     5.3     5.3     5.3 1
-1843 10  4     2.3     2.3     2.3 1
-1843 10  5     2.8     2.8     2.8 1
-1843 10  6     2.8     2.8     2.8 1
-1843 10  7     8.1     8.1     8.1 1
-1843 10  8     9.6     9.6     9.6 1
-1843 10  9     4.0     4.0     4.0 1
-1843 10 10     3.7     3.7     3.7 1
-1843 10 11     3.1     3.1     3.1 1
-1843 10 12     4.6     4.6     4.6 1
-1843 10 13     3.4     3.4     3.4 1
-1843 10 14     2.1     2.1     2.1 1
-1843 10 15     2.0     2.0     2.0 1
-1843 10 16     1.2     1.2     1.2 1
-1843 10 17     2.3     2.3     2.3 1
-1843 10 18     1.0     1.0     1.0 1
-1843 10 19     0.3     0.3     0.3 1
-1843 10 20    -1.3    -1.3    -1.3 1
-1843 10 21     0.8     0.8     0.8 1
-1843 10 22     4.3     4.3     4.3 1
-1843 10 23     6.4     6.4     6.4 1
-1843 10 24     5.5     5.5     5.5 1
-1843 10 25     4.9     4.9     4.9 1
-1843 10 26     3.1     3.1     3.1 1
-1843 10 27     2.2     2.2     2.2 1
-1843 10 28     4.1     4.1     4.1 1
-1843 10 29     5.1     5.1     5.1 1
-1843 10 30     7.2     7.2     7.2 1
-1843 10 31     9.1     9.1     9.1 1
-1843 11  1     9.0     9.0     9.0 1
-1843 11  2     7.9     7.9     7.9 1
-1843 11  3     6.2     6.2     6.2 1
-1843 11  4     6.3     6.3     6.3 1
-1843 11  5     7.3     7.3     7.3 1
-1843 11  6     7.2     7.2     7.2 1
-1843 11  7     8.3     8.3     8.3 1
-1843 11  8     5.0     5.0     5.0 1
-1843 11  9     3.8     3.8     3.8 1
-1843 11 10     1.1     1.1     1.1 1
-1843 11 11     0.0     0.0     0.0 1
-1843 11 12     0.3     0.3     0.3 1
-1843 11 13    -1.2    -1.2    -1.2 1
-1843 11 14    -1.1    -1.1    -1.1 1
-1843 11 15     0.4     0.4     0.4 1
-1843 11 16     1.6     1.6     1.6 1
-1843 11 17    -0.3    -0.3    -0.3 1
-1843 11 18     0.5     0.5     0.5 1
-1843 11 19     0.9     0.9     0.9 1
-1843 11 20     1.5     1.5     1.5 1
-1843 11 21     0.9     0.9     0.9 1
-1843 11 22     3.6     3.6     3.6 1
-1843 11 23     0.2     0.2     0.2 1
-1843 11 24    -1.5    -1.5    -1.5 1
-1843 11 25    -8.3    -8.3    -8.3 1
-1843 11 26    -1.7    -1.7    -1.7 1
-1843 11 27     4.4     4.4     4.4 1
-1843 11 28     3.3     3.3     3.3 1
-1843 11 29    -1.5    -1.5    -1.5 1
-1843 11 30    -2.8    -2.8    -2.8 1
-1843 12  1    -1.8    -1.8    -1.8 1
-1843 12  2     0.1     0.1     0.1 1
-1843 12  3     0.9     0.9     0.9 1
-1843 12  4     1.6     1.6     1.6 1
-1843 12  5     1.7     1.7     1.7 1
-1843 12  6     2.8     2.8     2.8 1
-1843 12  7     0.7     0.7     0.7 1
-1843 12  8     0.2     0.2     0.2 1
-1843 12  9    -0.7    -0.7    -0.7 1
-1843 12 10    -2.1    -2.1    -2.1 1
-1843 12 11     1.0     1.0     1.0 1
-1843 12 12     0.2     0.2     0.2 1
-1843 12 13     1.9     1.9     1.9 1
-1843 12 14     3.8     3.8     3.8 1
-1843 12 15     3.6     3.6     3.6 1
-1843 12 16    -3.2    -3.2    -3.2 1
-1843 12 17    -2.0    -2.0    -2.0 1
-1843 12 18    -2.2    -2.2    -2.2 1
-1843 12 19     1.9     1.9     1.9 1
-1843 12 20     0.5     0.5     0.5 1
-1843 12 21    -0.6    -0.6    -0.6 1
-1843 12 22     0.5     0.5     0.5 1
-1843 12 23     3.9     3.9     3.9 1
-1843 12 24     1.6     1.6     1.6 1
-1843 12 25     3.3     3.3     3.3 1
-1843 12 26     4.6     4.6     4.6 1
-1843 12 27     4.1     4.1     4.1 1
-1843 12 28     4.4     4.4     4.4 1
-1843 12 29     4.9     4.9     4.9 1
-1843 12 30     6.0     6.0     6.0 1
-1843 12 31     2.0     2.0     2.0 1
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-1844  1  5   -12.8   -12.8   -12.8 1
-1844  1  6   -12.5   -12.5   -12.5 1
-1844  1  7   -10.2   -10.2   -10.2 1
-1844  1  8   -13.4   -13.4   -13.4 1
-1844  1  9   -10.9   -10.9   -10.9 1
-1844  1 10    -9.3    -9.3    -9.3 1
-1844  1 11    -3.7    -3.7    -3.7 1
-1844  1 12    -0.7    -0.7    -0.7 1
-1844  1 13    -3.8    -3.8    -3.8 1
-1844  1 14    -4.7    -4.7    -4.7 1
-1844  1 15    -1.3    -1.3    -1.3 1
-1844  1 16    -0.4    -0.4    -0.4 1
-1844  1 17    -1.4    -1.4    -1.4 1
-1844  1 18    -4.5    -4.5    -4.5 1
-1844  1 19    -2.5    -2.5    -2.5 1
-1844  1 20    -6.9    -6.9    -6.9 1
-1844  1 21    -9.2    -9.2    -9.2 1
-1844  1 22    -8.3    -8.3    -8.3 1
-1844  1 23    -8.0    -8.0    -8.0 1
-1844  1 24    -1.9    -1.9    -1.9 1
-1844  1 25    -2.2    -2.2    -2.2 1
-1844  1 26    -1.6    -1.6    -1.6 1
-1844  1 27    -5.5    -5.5    -5.5 1
-1844  1 28    -6.7    -6.7    -6.7 1
-1844  1 29    -4.1    -4.1    -4.1 1
-1844  1 30    -0.4    -0.4    -0.4 1
-1844  1 31    -0.1    -0.1    -0.1 1
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-1844  2  2    -6.7    -6.7    -6.7 1
-1844  2  3    -4.5    -4.5    -4.5 1
-1844  2  4    -4.4    -4.4    -4.4 1
-1844  2  5    -2.4    -2.4    -2.4 1
-1844  2  6    -2.7    -2.7    -2.7 1
-1844  2  7    -7.7    -7.7    -7.7 1
-1844  2  8    -6.0    -6.0    -6.0 1
-1844  2  9   -14.4   -14.4   -14.4 1
-1844  2 10   -13.0   -13.0   -13.0 1
-1844  2 11   -11.9   -11.9   -11.9 1
-1844  2 12   -15.4   -15.4   -15.4 1
-1844  2 13   -10.8   -10.8   -10.8 1
-1844  2 14    -0.9    -0.9    -0.9 1
-1844  2 15     1.4     1.4     1.4 1
-1844  2 16     1.1     1.1     1.1 1
-1844  2 17    -5.8    -5.8    -5.8 1
-1844  2 18   -15.1   -15.1   -15.1 1
-1844  2 19   -12.5   -12.5   -12.5 1
-1844  2 20   -17.1   -17.1   -17.1 1
-1844  2 21   -21.4   -21.4   -21.4 1
-1844  2 22   -21.9   -21.9   -21.9 1
-1844  2 23   -20.9   -20.9   -20.9 1
-1844  2 24   -17.0   -17.0   -17.0 1
-1844  2 25   -15.9   -15.9   -15.9 1
-1844  2 26   -18.0   -18.0   -18.0 1
-1844  2 27   -16.4   -16.4   -16.4 1
-1844  2 28   -15.6   -15.6   -15.6 1
-1844  2 29   -15.5   -15.5   -15.5 1
-1844  3  1    -6.2    -6.2    -6.2 1
-1844  3  2    -2.3    -2.3    -2.3 1
-1844  3  3    -0.5    -0.5    -0.5 1
-1844  3  4    -0.9    -0.9    -0.9 1
-1844  3  5    -3.9    -3.9    -3.9 1
-1844  3  6    -8.2    -8.2    -8.2 1
-1844  3  7   -10.8   -10.8   -10.8 1
-1844  3  8    -9.5    -9.5    -9.5 1
-1844  3  9    -3.9    -3.9    -3.9 1
-1844  3 10    -3.3    -3.3    -3.3 1
-1844  3 11    -3.5    -3.5    -3.5 1
-1844  3 12    -3.5    -3.5    -3.5 1
-1844  3 13    -6.3    -6.3    -6.3 1
-1844  3 14    -6.4    -6.4    -6.4 1
-1844  3 15    -7.9    -7.9    -7.9 1
-1844  3 16    -8.7    -8.7    -8.7 1
-1844  3 17    -4.2    -4.2    -4.2 1
-1844  3 18    -2.1    -2.1    -2.1 1
-1844  3 19    -5.4    -5.4    -5.4 1
-1844  3 20    -7.8    -7.8    -7.8 1
-1844  3 21    -9.0    -9.0    -9.0 1
-1844  3 22   -11.2   -11.2   -11.2 1
-1844  3 23    -8.6    -8.6    -8.6 1
-1844  3 24    -8.8    -8.8    -8.8 1
-1844  3 25    -3.0    -3.0    -3.0 1
-1844  3 26    -2.4    -2.4    -2.4 1
-1844  3 27    -3.4    -3.4    -3.4 1
-1844  3 28    -2.4    -2.4    -2.4 1
-1844  3 29     1.0     1.0     1.0 1
-1844  3 30     4.1     4.1     4.1 1
-1844  3 31     5.4     5.4     5.4 1
-1844  4  1     2.3     2.3     2.3 1
-1844  4  2     1.6     1.6     1.6 1
-1844  4  3     2.2     2.2     2.2 1
-1844  4  4     5.4     5.4     5.4 1
-1844  4  5     2.2     2.2     2.2 1
-1844  4  6     2.0     2.0     2.0 1
-1844  4  7    -0.1    -0.1    -0.1 1
-1844  4  8     1.4     1.4     1.4 1
-1844  4  9     1.5     1.5     1.5 1
-1844  4 10     6.0     6.0     6.0 1
-1844  4 11     7.6     7.6     7.6 1
-1844  4 12     6.8     6.8     6.8 1
-1844  4 13     4.1     4.1     4.1 1
-1844  4 14     3.7     3.7     3.7 1
-1844  4 15     3.1     3.1     3.1 1
-1844  4 16     7.0     7.0     7.0 1
-1844  4 17     8.2     8.2     8.2 1
-1844  4 18     6.3     6.3     6.3 1
-1844  4 19     8.6     8.6     8.6 1
-1844  4 20     8.3     8.3     8.3 1
-1844  4 21     6.5     6.5     6.5 1
-1844  4 22     4.3     4.3     4.3 1
-1844  4 23     6.7     6.7     6.7 1
-1844  4 24     5.5     5.5     5.5 1
-1844  4 25     5.2     5.2     5.2 1
-1844  4 26     5.3     5.3     5.3 1
-1844  4 27     5.0     5.0     5.0 1
-1844  4 28     3.1     3.1     3.1 1
-1844  4 29     4.2     4.2     4.2 1
-1844  4 30     7.1     7.1     7.1 1
-1844  5  1     8.4     8.4     8.4 1
-1844  5  2     7.0     7.0     7.0 1
-1844  5  3     8.4     8.4     8.4 1
-1844  5  4    10.8    10.8    10.8 1
-1844  5  5    10.4    10.4    10.3 1
-1844  5  6    11.1    11.1    11.0 1
-1844  5  7    12.0    12.0    11.9 1
-1844  5  8    12.4    12.4    12.3 1
-1844  5  9    13.0    13.0    12.9 1
-1844  5 10    12.7    12.7    12.5 1
-1844  5 11    13.0    13.0    12.8 1
-1844  5 12    12.9    12.9    12.7 1
-1844  5 13    12.9    12.9    12.7 1
-1844  5 14    11.9    11.9    11.6 1
-1844  5 15     3.5     3.5     3.2 1
-1844  5 16     6.4     6.4     6.1 1
-1844  5 17     7.5     7.5     7.2 1
-1844  5 18    10.8    10.8    10.5 1
-1844  5 19     9.5     9.5     9.1 1
-1844  5 20    10.2    10.2     9.8 1
-1844  5 21     9.4     9.4     9.0 1
-1844  5 22     7.1     7.1     6.7 1
-1844  5 23    11.3    11.3    10.8 1
-1844  5 24    10.8    10.8    10.3 1
-1844  5 25     9.2     9.2     8.7 1
-1844  5 26     7.3     7.3     6.8 1
-1844  5 27    10.7    10.7    10.2 1
-1844  5 28     8.3     8.3     7.7 1
-1844  5 29    11.2    11.2    10.6 1
-1844  5 30     4.5     4.5     3.9 1
-1844  5 31     7.1     7.1     6.5 1
-1844  6  1    12.4    12.4    11.7 1
-1844  6  2     6.6     6.6     5.9 1
-1844  6  3     7.2     7.2     6.5 1
-1844  6  4    10.6    10.6     9.9 1
-1844  6  5     9.9     9.9     9.2 1
-1844  6  6    11.7    11.7    11.0 1
-1844  6  7    11.6    11.6    10.9 1
-1844  6  8    11.3    11.3    10.6 1
-1844  6  9    14.5    14.5    13.8 1
-1844  6 10    17.9    17.9    17.2 1
-1844  6 11    15.4    15.4    14.7 1
-1844  6 12    16.3    16.3    15.6 1
-1844  6 13    16.7    16.7    16.0 1
-1844  6 14    13.5    13.5    12.8 1
-1844  6 15    10.7    10.7    10.0 1
-1844  6 16    11.6    11.6    10.9 1
-1844  6 17    14.4    14.4    13.7 1
-1844  6 18    15.3    15.3    14.6 1
-1844  6 19    17.6    17.6    16.9 1
-1844  6 20    16.5    16.5    15.8 1
-1844  6 21    11.9    11.9    11.2 1
-1844  6 22    15.1    15.1    14.4 1
-1844  6 23    18.2    18.2    17.5 1
-1844  6 24    14.2    14.2    13.5 1
-1844  6 25    11.4    11.4    10.7 1
-1844  6 26     8.5     8.5     7.8 1
-1844  6 27     8.1     8.1     7.4 1
-1844  6 28     9.1     9.1     8.4 1
-1844  6 29    10.3    10.3     9.6 1
-1844  6 30    11.7    11.7    11.0 1
-1844  7  1    14.3    14.3    13.6 1
-1844  7  2    14.1    14.1    13.4 1
-1844  7  3    14.8    14.8    14.1 1
-1844  7  4    13.5    13.5    12.8 1
-1844  7  5    14.5    14.5    13.8 1
-1844  7  6    17.8    17.8    17.1 1
-1844  7  7    16.9    16.9    16.2 1
-1844  7  8    17.5    17.5    16.8 1
-1844  7  9    16.8    16.8    16.1 1
-1844  7 10    17.0    17.0    16.3 1
-1844  7 11    15.3    15.3    14.6 1
-1844  7 12    14.6    14.6    13.9 1
-1844  7 13    14.4    14.4    13.7 1
-1844  7 14    13.4    13.4    12.7 1
-1844  7 15    11.4    11.4    10.7 1
-1844  7 16    12.3    12.3    11.6 1
-1844  7 17    11.0    11.0    10.3 1
-1844  7 18    11.9    11.9    11.2 1
-1844  7 19    11.1    11.1    10.4 1
-1844  7 20    14.1    14.1    13.4 1
-1844  7 21    15.4    15.4    14.7 1
-1844  7 22    14.4    14.4    13.7 1
-1844  7 23    14.1    14.1    13.4 1
-1844  7 24    13.8    13.8    13.1 1
-1844  7 25    12.5    12.5    11.8 1
-1844  7 26    12.4    12.4    11.7 1
-1844  7 27    12.3    12.3    11.6 1
-1844  7 28    13.6    13.6    12.9 1
-1844  7 29    14.9    14.9    14.2 1
-1844  7 30    14.3    14.3    13.6 1
-1844  7 31    13.7    13.7    13.0 1
-1844  8  1    14.0    14.0    13.4 1
-1844  8  2    13.1    13.1    12.5 1
-1844  8  3    14.8    14.8    14.2 1
-1844  8  4    15.4    15.4    14.8 1
-1844  8  5    16.3    16.3    15.8 1
-1844  8  6    16.8    16.8    16.3 1
-1844  8  7    14.4    14.4    13.9 1
-1844  8  8    15.7    15.7    15.2 1
-1844  8  9    13.1    13.1    12.6 1
-1844  8 10    13.2    13.2    12.8 1
-1844  8 11    14.4    14.4    14.0 1
-1844  8 12    14.9    14.9    14.5 1
-1844  8 13    14.9    14.9    14.5 1
-1844  8 14    15.5    15.5    15.2 1
-1844  8 15    16.1    16.1    15.8 1
-1844  8 16    16.6    16.6    16.3 1
-1844  8 17    17.6    17.6    17.3 1
-1844  8 18    14.3    14.3    14.0 1
-1844  8 19    14.6    14.6    14.4 1
-1844  8 20    14.0    14.0    13.8 1
-1844  8 21    14.2    14.2    14.0 1
-1844  8 22    14.9    14.9    14.7 1
-1844  8 23    14.1    14.1    14.0 1
-1844  8 24    16.0    16.0    15.9 1
-1844  8 25    16.3    16.3    16.2 1
-1844  8 26    15.5    15.5    15.4 1
-1844  8 27    12.2    12.2    12.1 1
-1844  8 28    12.5    12.5    12.5 1
-1844  8 29    12.6    12.6    12.6 1
-1844  8 30    13.6    13.6    13.6 1
-1844  8 31    13.3    13.3    13.3 1
-1844  9  1    15.1    15.1    15.1 1
-1844  9  2    14.9    14.9    14.9 1
-1844  9  3    16.9    16.9    16.9 1
-1844  9  4    16.7    16.7    16.7 1
-1844  9  5    16.5    16.5    16.5 1
-1844  9  6    17.8    17.8    17.8 1
-1844  9  7    14.2    14.2    14.2 1
-1844  9  8    15.5    15.5    15.5 1
-1844  9  9    14.6    14.6    14.6 1
-1844  9 10    14.6    14.6    14.6 1
-1844  9 11    12.8    12.8    12.8 1
-1844  9 12    12.2    12.2    12.2 1
-1844  9 13    12.1    12.1    12.1 1
-1844  9 14     9.3     9.3     9.3 1
-1844  9 15     8.1     8.1     8.1 1
-1844  9 16    10.3    10.3    10.3 1
-1844  9 17    14.2    14.2    14.2 1
-1844  9 18     8.7     8.7     8.7 1
-1844  9 19     7.0     7.0     7.0 1
-1844  9 20     7.3     7.3     7.3 1
-1844  9 21     7.5     7.5     7.5 1
-1844  9 22     9.4     9.4     9.4 1
-1844  9 23    10.0    10.0    10.0 1
-1844  9 24     9.5     9.5     9.5 1
-1844  9 25     8.8     8.8     8.8 1
-1844  9 26    11.2    11.2    11.2 1
-1844  9 27     9.8     9.8     9.8 1
-1844  9 28    11.7    11.7    11.7 1
-1844  9 29     9.2     9.2     9.2 1
-1844  9 30     5.2     5.2     5.2 1
-1844 10  1     5.2     5.2     5.2 1
-1844 10  2     8.8     8.8     8.8 1
-1844 10  3     9.2     9.2     9.2 1
-1844 10  4     4.6     4.6     4.6 1
-1844 10  5     6.2     6.2     6.2 1
-1844 10  6     4.3     4.3     4.3 1
-1844 10  7     5.0     5.0     5.0 1
-1844 10  8     3.8     3.8     3.8 1
-1844 10  9     3.0     3.0     3.0 1
-1844 10 10     5.6     5.6     5.6 1
-1844 10 11     7.8     7.8     7.8 1
-1844 10 12     8.8     8.8     8.8 1
-1844 10 13     8.5     8.5     8.5 1
-1844 10 14     7.8     7.8     7.8 1
-1844 10 15     7.8     7.8     7.8 1
-1844 10 16     9.8     9.8     9.8 1
-1844 10 17     9.8     9.8     9.8 1
-1844 10 18     8.2     8.2     8.2 1
-1844 10 19     6.4     6.4     6.4 1
-1844 10 20     6.8     6.8     6.8 1
-1844 10 21     7.4     7.4     7.4 1
-1844 10 22     5.1     5.1     5.1 1
-1844 10 23     7.1     7.1     7.1 1
-1844 10 24     6.9     6.9     6.9 1
-1844 10 25     6.6     6.6     6.6 1
-1844 10 26     8.4     8.4     8.4 1
-1844 10 27     6.3     6.3     6.3 1
-1844 10 28     3.2     3.2     3.2 1
-1844 10 29     2.7     2.7     2.7 1
-1844 10 30     1.5     1.5     1.5 1
-1844 10 31     0.1     0.1     0.1 1
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-1844 11  3     0.6     0.6     0.6 1
-1844 11  4     1.2     1.2     1.2 1
-1844 11  5     3.0     3.0     3.0 1
-1844 11  6     1.4     1.4     1.4 1
-1844 11  7     0.9     0.9     0.9 1
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-1844 11  9     2.7     2.7     2.7 1
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-1844 11 11    -1.0    -1.0    -1.0 1
-1844 11 12     0.3     0.3     0.3 1
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-1844 11 17    -5.0    -5.0    -5.0 1
-1844 11 18    -2.1    -2.1    -2.1 1
-1844 11 19     1.9     1.9     1.9 1
-1844 11 20     1.3     1.3     1.3 1
-1844 11 21     3.1     3.1     3.1 1
-1844 11 22     0.5     0.5     0.5 1
-1844 11 23    -0.3    -0.3    -0.3 1
-1844 11 24     0.9     0.9     0.9 1
-1844 11 25     2.4     2.4     2.4 1
-1844 11 26     3.0     3.0     3.0 1
-1844 11 27     3.3     3.3     3.3 1
-1844 11 28     3.0     3.0     3.0 1
-1844 11 29     0.7     0.7     0.7 1
-1844 11 30    -1.5    -1.5    -1.5 1
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-1844 12  5    -3.9    -3.9    -3.9 1
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-1844 12  7    -2.0    -2.0    -2.0 1
-1844 12  8    -2.3    -2.3    -2.3 1
-1844 12  9    -3.0    -3.0    -3.0 1
-1844 12 10    -2.8    -2.8    -2.8 1
-1844 12 11    -4.8    -4.8    -4.8 1
-1844 12 12    -5.5    -5.5    -5.5 1
-1844 12 13    -4.9    -4.9    -4.9 1
-1844 12 14    -4.2    -4.2    -4.2 1
-1844 12 15    -2.7    -2.7    -2.7 1
-1844 12 16    -2.0    -2.0    -2.0 1
-1844 12 17     0.4     0.4     0.4 1
-1844 12 18     0.5     0.5     0.5 1
-1844 12 19    -3.2    -3.2    -3.2 1
-1844 12 20    -9.5    -9.5    -9.5 1
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-1844 12 22    -2.9    -2.9    -2.9 1
-1844 12 23    -5.2    -5.2    -5.2 1
-1844 12 24    -8.4    -8.4    -8.4 1
-1844 12 25    -9.2    -9.2    -9.2 1
-1844 12 26    -8.2    -8.2    -8.2 1
-1844 12 27    -7.3    -7.3    -7.3 1
-1844 12 28    -1.5    -1.5    -1.5 1
-1844 12 29    -1.9    -1.9    -1.9 1
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-1844 12 31    -5.7    -5.7    -5.7 1
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-1845  1  5     1.4     1.4     1.4 1
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-1845  1 10     0.4     0.4     0.4 1
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-1845  1 12     0.5     0.5     0.5 1
-1845  1 13     0.9     0.9     0.9 1
-1845  1 14     0.5     0.5     0.5 1
-1845  1 15     0.5     0.5     0.5 1
-1845  1 16    -1.5    -1.5    -1.5 1
-1845  1 17    -1.8    -1.8    -1.8 1
-1845  1 18    -3.9    -3.9    -3.9 1
-1845  1 19    -2.2    -2.2    -2.2 1
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-1845  1 21    -0.7    -0.7    -0.7 1
-1845  1 22    -3.0    -3.0    -3.0 1
-1845  1 23     1.6     1.6     1.6 1
-1845  1 24     2.3     2.3     2.3 1
-1845  1 25     0.1     0.1     0.1 1
-1845  1 26     0.9     0.9     0.9 1
-1845  1 27     1.3     1.3     1.3 1
-1845  1 28    -0.3    -0.3    -0.3 1
-1845  1 29     0.2     0.2     0.2 1
-1845  1 30    -0.6    -0.6    -0.6 1
-1845  1 31    -1.9    -1.9    -1.9 1
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-1845  2  3    -2.5    -2.5    -2.5 1
-1845  2  4    -6.0    -6.0    -6.0 1
-1845  2  5    -5.4    -5.4    -5.4 1
-1845  2  6    -6.8    -6.8    -6.8 1
-1845  2  7   -10.5   -10.5   -10.5 1
-1845  2  8   -14.8   -14.8   -14.8 1
-1845  2  9   -15.4   -15.4   -15.4 1
-1845  2 10   -11.7   -11.7   -11.7 1
-1845  2 11   -10.3   -10.3   -10.3 1
-1845  2 12    -9.3    -9.3    -9.3 1
-1845  2 13    -9.9    -9.9    -9.9 1
-1845  2 14    -4.0    -4.0    -4.0 1
-1845  2 15    -2.9    -2.9    -2.9 1
-1845  2 16    -7.7    -7.7    -7.7 1
-1845  2 17   -10.5   -10.5   -10.5 1
-1845  2 18   -14.6   -14.6   -14.6 1
-1845  2 19   -13.5   -13.5   -13.5 1
-1845  2 20   -12.5   -12.5   -12.5 1
-1845  2 21    -9.8    -9.8    -9.8 1
-1845  2 22    -9.9    -9.9    -9.9 1
-1845  2 23   -14.1   -14.1   -14.1 1
-1845  2 24    -9.9    -9.9    -9.9 1
-1845  2 25    -5.4    -5.4    -5.4 1
-1845  2 26    -9.6    -9.6    -9.6 1
-1845  2 27    -7.9    -7.9    -7.9 1
-1845  2 28   -11.2   -11.2   -11.2 1
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-1845  3  3    -8.8    -8.8    -8.8 1
-1845  3  4   -10.3   -10.3   -10.3 1
-1845  3  5   -11.2   -11.2   -11.2 1
-1845  3  6    -6.3    -6.3    -6.3 1
-1845  3  7    -3.2    -3.2    -3.2 1
-1845  3  8    -0.4    -0.4    -0.4 1
-1845  3  9     1.9     1.9     1.9 1
-1845  3 10    -1.7    -1.7    -1.7 1
-1845  3 11   -12.0   -12.0   -12.0 1
-1845  3 12   -13.9   -13.9   -13.9 1
-1845  3 13   -16.7   -16.7   -16.7 1
-1845  3 14   -16.4   -16.4   -16.4 1
-1845  3 15   -14.5   -14.5   -14.5 1
-1845  3 16    -4.9    -4.9    -4.9 1
-1845  3 17    -6.9    -6.9    -6.9 1
-1845  3 18    -4.6    -4.6    -4.6 1
-1845  3 19    -3.2    -3.2    -3.2 1
-1845  3 20    -5.7    -5.7    -5.7 1
-1845  3 21    -7.6    -7.6    -7.6 1
-1845  3 22    -4.7    -4.7    -4.7 1
-1845  3 23     0.5     0.5     0.5 1
-1845  3 24     1.1     1.1     1.1 1
-1845  3 25    -1.0    -1.0    -1.0 1
-1845  3 26     0.7     0.7     0.7 1
-1845  3 27     1.0     1.0     1.0 1
-1845  3 28     0.2     0.2     0.2 1
-1845  3 29    -2.3    -2.3    -2.3 1
-1845  3 30    -5.0    -5.0    -5.0 1
-1845  3 31    -5.3    -5.3    -5.3 1
-1845  4  1     0.5     0.5     0.5 1
-1845  4  2     2.7     2.7     2.7 1
-1845  4  3     1.4     1.4     1.4 1
-1845  4  4    -3.7    -3.7    -3.7 1
-1845  4  5    -0.3    -0.3    -0.3 1
-1845  4  6     0.5     0.5     0.5 1
-1845  4  7    -2.4    -2.4    -2.4 1
-1845  4  8    -2.3    -2.3    -2.3 1
-1845  4  9    -2.4    -2.4    -2.4 1
-1845  4 10    -1.3    -1.3    -1.3 1
-1845  4 11     0.5     0.5     0.5 1
-1845  4 12    -1.5    -1.5    -1.5 1
-1845  4 13    -0.6    -0.6    -0.6 1
-1845  4 14    -1.4    -1.4    -1.4 1
-1845  4 15     1.6     1.6     1.6 1
-1845  4 16     1.7     1.7     1.7 1
-1845  4 17     5.8     5.8     5.8 1
-1845  4 18     9.1     9.1     9.1 1
-1845  4 19     6.6     6.6     6.6 1
-1845  4 20     7.5     7.5     7.5 1
-1845  4 21     8.5     8.5     8.5 1
-1845  4 22     9.2     9.2     9.2 1
-1845  4 23    10.1    10.1    10.1 1
-1845  4 24     7.3     7.3     7.3 1
-1845  4 25     9.7     9.7     9.7 1
-1845  4 26     8.3     8.3     8.3 1
-1845  4 27     7.9     7.9     7.9 1
-1845  4 28     4.6     4.6     4.6 1
-1845  4 29     0.7     0.7     0.7 1
-1845  4 30     2.0     2.0     2.0 1
-1845  5  1     3.6     3.6     3.6 1
-1845  5  2     1.8     1.8     1.8 1
-1845  5  3     5.1     5.1     5.1 1
-1845  5  4     5.7     5.7     5.7 1
-1845  5  5     4.4     4.4     4.3 1
-1845  5  6     2.1     2.1     2.0 1
-1845  5  7     3.0     3.0     2.9 1
-1845  5  8     5.1     5.1     5.0 1
-1845  5  9     2.1     2.1     2.0 1
-1845  5 10     5.5     5.5     5.3 1
-1845  5 11     4.4     4.4     4.2 1
-1845  5 12     3.3     3.3     3.1 1
-1845  5 13     5.1     5.1     4.9 1
-1845  5 14     8.1     8.1     7.8 1
-1845  5 15     9.3     9.3     9.0 1
-1845  5 16    11.4    11.4    11.1 1
-1845  5 17     5.8     5.8     5.5 1
-1845  5 18     6.7     6.7     6.4 1
-1845  5 19     5.2     5.2     4.8 1
-1845  5 20    10.6    10.6    10.2 1
-1845  5 21    10.7    10.7    10.3 1
-1845  5 22    10.2    10.2     9.8 1
-1845  5 23    12.0    12.0    11.5 1
-1845  5 24     9.1     9.1     8.6 1
-1845  5 25    12.3    12.3    11.8 1
-1845  5 26    14.5    14.5    14.0 1
-1845  5 27     5.6     5.6     5.1 1
-1845  5 28     6.7     6.7     6.1 1
-1845  5 29     9.6     9.6     9.0 1
-1845  5 30    12.9    12.9    12.3 1
-1845  5 31    12.4    12.4    11.8 1
-1845  6  1    12.2    12.2    11.5 1
-1845  6  2    12.6    12.6    11.9 1
-1845  6  3    11.5    11.5    10.8 1
-1845  6  4    13.3    13.3    12.6 1
-1845  6  5    12.7    12.7    12.0 1
-1845  6  6    16.2    16.2    15.5 1
-1845  6  7    17.9    17.9    17.2 1
-1845  6  8    19.5    19.5    18.8 1
-1845  6  9    16.8    16.8    16.1 1
-1845  6 10    14.1    14.1    13.4 1
-1845  6 11    17.2    17.2    16.5 1
-1845  6 12    16.8    16.8    16.1 1
-1845  6 13    19.2    19.2    18.5 1
-1845  6 14    16.8    16.8    16.1 1
-1845  6 15    10.7    10.7    10.0 1
-1845  6 16    12.0    12.0    11.3 1
-1845  6 17    13.7    13.7    13.0 1
-1845  6 18    17.1    17.1    16.4 1
-1845  6 19    16.5    16.5    15.8 1
-1845  6 20    17.5    17.5    16.8 1
-1845  6 21    15.3    15.3    14.6 1
-1845  6 22    13.1    13.1    12.4 1
-1845  6 23    12.1    12.1    11.4 1
-1845  6 24    13.4    13.4    12.7 1
-1845  6 25    14.3    14.3    13.6 1
-1845  6 26    13.9    13.9    13.2 1
-1845  6 27    15.9    15.9    15.2 1
-1845  6 28    16.6    16.6    15.9 1
-1845  6 29    14.7    14.7    14.0 1
-1845  6 30    15.8    15.8    15.1 1
-1845  7  1    16.9    16.9    16.2 1
-1845  7  2    15.5    15.5    14.8 1
-1845  7  3    17.4    17.4    16.7 1
-1845  7  4    23.4    23.4    22.7 1
-1845  7  5    23.1    23.1    22.4 1
-1845  7  6    18.0    18.0    17.3 1
-1845  7  7    18.9    18.9    18.2 1
-1845  7  8    18.7    18.7    18.0 1
-1845  7  9    17.6    17.6    16.9 1
-1845  7 10    16.3    16.3    15.6 1
-1845  7 11    16.3    16.3    15.6 1
-1845  7 12    17.6    17.6    16.9 1
-1845  7 13    16.2    16.2    15.5 1
-1845  7 14    14.2    14.2    13.5 1
-1845  7 15    14.8    14.8    14.1 1
-1845  7 16    16.7    16.7    16.0 1
-1845  7 17    14.9    14.9    14.2 1
-1845  7 18    18.8    18.8    18.1 1
-1845  7 19    19.1    19.1    18.4 1
-1845  7 20    21.0    21.0    20.3 1
-1845  7 21    21.9    21.9    21.2 1
-1845  7 22    22.0    22.0    21.3 1
-1845  7 23    12.8    12.8    12.1 1
-1845  7 24    17.1    17.1    16.4 1
-1845  7 25    18.4    18.4    17.7 1
-1845  7 26    16.9    16.9    16.2 1
-1845  7 27    17.5    17.5    16.8 1
-1845  7 28    14.2    14.2    13.5 1
-1845  7 29    16.1    16.1    15.4 1
-1845  7 30    17.0    17.0    16.3 1
-1845  7 31    15.8    15.8    15.1 1
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-1845  8  2    17.3    17.3    16.7 1
-1845  8  3    19.0    19.0    18.4 1
-1845  8  4    17.8    17.8    17.2 1
-1845  8  5    18.5    18.5    18.0 1
-1845  8  6    17.7    17.7    17.2 1
-1845  8  7    17.8    17.8    17.3 1
-1845  8  8    19.9    19.9    19.4 1
-1845  8  9    18.8    18.8    18.3 1
-1845  8 10    18.3    18.3    17.9 1
-1845  8 11    18.1    18.1    17.7 1
-1845  8 12    17.8    17.8    17.4 1
-1845  8 13    16.8    16.8    16.4 1
-1845  8 14    15.5    15.5    15.2 1
-1845  8 15    15.8    15.8    15.5 1
-1845  8 16    15.4    15.4    15.1 1
-1845  8 17    14.8    14.8    14.5 1
-1845  8 18    13.6    13.6    13.3 1
-1845  8 19    15.5    15.5    15.3 1
-1845  8 20    14.5    14.5    14.3 1
-1845  8 21    15.0    15.0    14.8 1
-1845  8 22    14.2    14.2    14.0 1
-1845  8 23    12.1    12.1    12.0 1
-1845  8 24    14.4    14.4    14.3 1
-1845  8 25    13.9    13.9    13.8 1
-1845  8 26    14.8    14.8    14.7 1
-1845  8 27    14.5    14.5    14.4 1
-1845  8 28    17.2    17.2    17.2 1
-1845  8 29    16.8    16.8    16.8 1
-1845  8 30    16.9    16.9    16.9 1
-1845  8 31    11.9    11.9    11.9 1
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-1845  9  2    12.0    12.0    12.0 1
-1845  9  3     9.4     9.4     9.4 1
-1845  9  4     7.9     7.9     7.9 1
-1845  9  5    10.1    10.1    10.1 1
-1845  9  6     8.9     8.9     8.9 1
-1845  9  7    12.4    12.4    12.4 1
-1845  9  8    10.3    10.3    10.3 1
-1845  9  9    11.5    11.5    11.5 1
-1845  9 10    10.6    10.6    10.6 1
-1845  9 11     9.6     9.6     9.6 1
-1845  9 12    11.0    11.0    11.0 1
-1845  9 13    12.0    12.0    12.0 1
-1845  9 14    11.9    11.9    11.9 1
-1845  9 15    12.9    12.9    12.9 1
-1845  9 16    12.9    12.9    12.9 1
-1845  9 17    12.6    12.6    12.6 1
-1845  9 18    15.4    15.4    15.4 1
-1845  9 19    14.4    14.4    14.4 1
-1845  9 20    12.6    12.6    12.6 1
-1845  9 21    10.3    10.3    10.3 1
-1845  9 22    13.8    13.8    13.8 1
-1845  9 23    12.2    12.2    12.2 1
-1845  9 24     9.6     9.6     9.6 1
-1845  9 25     9.7     9.7     9.7 1
-1845  9 26    10.1    10.1    10.1 1
-1845  9 27    11.0    11.0    11.0 1
-1845  9 28    10.6    10.6    10.6 1
-1845  9 29    10.2    10.2    10.2 1
-1845  9 30     8.3     8.3     8.3 1
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-1845 10  2     7.7     7.7     7.7 1
-1845 10  3     6.2     6.2     6.2 1
-1845 10  4     6.4     6.4     6.4 1
-1845 10  5     8.9     8.9     8.9 1
-1845 10  6     6.6     6.6     6.6 1
-1845 10  7     3.8     3.8     3.8 1
-1845 10  8     3.7     3.7     3.7 1
-1845 10  9     4.0     4.0     4.0 1
-1845 10 10     4.2     4.2     4.2 1
-1845 10 11     3.7     3.7     3.7 1
-1845 10 12     2.2     2.2     2.2 1
-1845 10 13     2.6     2.6     2.6 1
-1845 10 14     3.4     3.4     3.4 1
-1845 10 15     9.1     9.1     9.1 1
-1845 10 16     7.0     7.0     7.0 1
-1845 10 17     7.0     7.0     7.0 1
-1845 10 18     5.4     5.4     5.4 1
-1845 10 19     4.7     4.7     4.7 1
-1845 10 20     3.2     3.2     3.2 1
-1845 10 21     2.5     2.5     2.5 1
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-1845 10 24     5.6     5.6     5.6 1
-1845 10 25     7.2     7.2     7.2 1
-1845 10 26     5.2     5.2     5.2 1
-1845 10 27     3.0     3.0     3.0 1
-1845 10 28     0.5     0.5     0.5 1
-1845 10 29     2.1     2.1     2.1 1
-1845 10 30     3.2     3.2     3.2 1
-1845 10 31     3.6     3.6     3.6 1
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-1845 11  5     0.1     0.1     0.1 1
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-1845 11  7     3.1     3.1     3.1 1
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-1845 11  9     4.8     4.8     4.8 1
-1845 11 10     4.1     4.1     4.1 1
-1845 11 11     3.8     3.8     3.8 1
-1845 11 12     4.8     4.8     4.8 1
-1845 11 13     5.3     5.3     5.3 1
-1845 11 14     3.8     3.8     3.8 1
-1845 11 15    -0.4    -0.4    -0.4 1
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-1845 11 18     4.6     4.6     4.6 1
-1845 11 19     5.9     5.9     5.9 1
-1845 11 20     6.6     6.6     6.6 1
-1845 11 21     6.1     6.1     6.1 1
-1845 11 22     4.4     4.4     4.4 1
-1845 11 23     5.7     5.7     5.7 1
-1845 11 24     1.6     1.6     1.6 1
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-1845 11 28     3.2     3.2     3.2 1
-1845 11 29     3.6     3.6     3.6 1
-1845 11 30     3.3     3.3     3.3 1
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-1845 12 16    -5.5    -5.5    -5.5 1
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-1845 12 18    -9.9    -9.9    -9.9 1
-1845 12 19    -4.2    -4.2    -4.2 1
-1845 12 20    -0.3    -0.3    -0.3 1
-1845 12 21     1.7     1.7     1.7 1
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-1845 12 24    -1.7    -1.7    -1.7 1
-1845 12 25     1.9     1.9     1.9 1
-1845 12 26    -0.1    -0.1    -0.1 1
-1845 12 27     1.9     1.9     1.9 1
-1845 12 28    -2.2    -2.2    -2.2 1
-1845 12 29    -6.1    -6.1    -6.1 1
-1845 12 30     0.3     0.3     0.3 1
-1845 12 31     0.4     0.4     0.4 1
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-1846  1  8     3.0     3.0     3.0 1
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-1846  1 16    -2.8    -2.8    -2.8 1
-1846  1 17    -1.6    -1.6    -1.6 1
-1846  1 18    -1.9    -1.9    -1.9 1
-1846  1 19    -1.0    -1.0    -1.0 1
-1846  1 20    -0.6    -0.6    -0.6 1
-1846  1 21     0.7     0.7     0.7 1
-1846  1 22     0.7     0.7     0.7 1
-1846  1 23    -0.6    -0.6    -0.6 1
-1846  1 24    -5.3    -5.3    -5.3 1
-1846  1 25    -8.7    -8.7    -8.7 1
-1846  1 26    -8.9    -8.9    -8.9 1
-1846  1 27   -12.7   -12.7   -12.7 1
-1846  1 28   -11.5   -11.5   -11.5 1
-1846  1 29    -9.0    -9.0    -9.0 1
-1846  1 30    -9.1    -9.1    -9.1 1
-1846  1 31    -5.0    -5.0    -5.0 1
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-1846  2  2    -3.3    -3.3    -3.3 1
-1846  2  3    -5.8    -5.8    -5.8 1
-1846  2  4    -2.8    -2.8    -2.8 1
-1846  2  5    -3.8    -3.8    -3.8 1
-1846  2  6    -3.6    -3.6    -3.6 1
-1846  2  7    -8.9    -8.9    -8.9 1
-1846  2  8   -11.8   -11.8   -11.8 1
-1846  2  9   -12.4   -12.4   -12.4 1
-1846  2 10    -8.5    -8.5    -8.5 1
-1846  2 11    -4.3    -4.3    -4.3 1
-1846  2 12    -6.6    -6.6    -6.6 1
-1846  2 13    -6.5    -6.5    -6.5 1
-1846  2 14   -11.2   -11.2   -11.2 1
-1846  2 15   -11.7   -11.7   -11.7 1
-1846  2 16   -12.3   -12.3   -12.3 1
-1846  2 17    -4.9    -4.9    -4.9 1
-1846  2 18   -10.7   -10.7   -10.7 1
-1846  2 19    -8.1    -8.1    -8.1 1
-1846  2 20    -3.9    -3.9    -3.9 1
-1846  2 21    -1.0    -1.0    -1.0 1
-1846  2 22    -0.3    -0.3    -0.3 1
-1846  2 23     4.1     4.1     4.1 1
-1846  2 24     1.7     1.7     1.7 1
-1846  2 25     1.8     1.8     1.8 1
-1846  2 26     4.6     4.6     4.6 1
-1846  2 27     1.9     1.9     1.9 1
-1846  2 28     3.4     3.4     3.4 1
-1846  3  1     2.6     2.6     2.6 1
-1846  3  2     2.1     2.1     2.1 1
-1846  3  3    -0.1    -0.1    -0.1 1
-1846  3  4     1.3     1.3     1.3 1
-1846  3  5     3.4     3.4     3.4 1
-1846  3  6     3.6     3.6     3.6 1
-1846  3  7     1.5     1.5     1.5 1
-1846  3  8     2.8     2.8     2.8 1
-1846  3  9     1.3     1.3     1.3 1
-1846  3 10     1.0     1.0     1.0 1
-1846  3 11     0.2     0.2     0.2 1
-1846  3 12     1.4     1.4     1.4 1
-1846  3 13     3.1     3.1     3.1 1
-1846  3 14     2.8     2.8     2.8 1
-1846  3 15     0.3     0.3     0.3 1
-1846  3 16     0.6     0.6     0.6 1
-1846  3 17     3.0     3.0     3.0 1
-1846  3 18     2.5     2.5     2.5 1
-1846  3 19     1.0     1.0     1.0 1
-1846  3 20    -1.5    -1.5    -1.5 1
-1846  3 21     2.1     2.1     2.1 1
-1846  3 22     1.2     1.2     1.2 1
-1846  3 23     0.4     0.4     0.4 1
-1846  3 24     1.3     1.3     1.3 1
-1846  3 25     2.2     2.2     2.2 1
-1846  3 26     4.0     4.0     4.0 1
-1846  3 27     1.4     1.4     1.4 1
-1846  3 28     1.6     1.6     1.6 1
-1846  3 29     1.7     1.7     1.7 1
-1846  3 30     0.7     0.7     0.7 1
-1846  3 31    -0.4    -0.4    -0.4 1
-1846  4  1     2.0     2.0     2.0 1
-1846  4  2     1.2     1.2     1.2 1
-1846  4  3     1.7     1.7     1.7 1
-1846  4  4     4.6     4.6     4.6 1
-1846  4  5     3.8     3.8     3.8 1
-1846  4  6     1.6     1.6     1.6 1
-1846  4  7     0.7     0.7     0.7 1
-1846  4  8     1.9     1.9     1.9 1
-1846  4  9     1.9     1.9     1.9 1
-1846  4 10     1.9     1.9     1.9 1
-1846  4 11     2.4     2.4     2.4 1
-1846  4 12     3.7     3.7     3.7 1
-1846  4 13     2.4     2.4     2.4 1
-1846  4 14     2.1     2.1     2.1 1
-1846  4 15     3.0     3.0     3.0 1
-1846  4 16     4.0     4.0     4.0 1
-1846  4 17     3.8     3.8     3.8 1
-1846  4 18     3.5     3.5     3.5 1
-1846  4 19     4.1     4.1     4.1 1
-1846  4 20     3.9     3.9     3.9 1
-1846  4 21     5.7     5.7     5.7 1
-1846  4 22     7.4     7.4     7.4 1
-1846  4 23     6.3     6.3     6.3 1
-1846  4 24     3.5     3.5     3.5 1
-1846  4 25     3.5     3.5     3.5 1
-1846  4 26     1.9     1.9     1.9 1
-1846  4 27     0.5     0.5     0.5 1
-1846  4 28     1.6     1.6     1.6 1
-1846  4 29     3.5     3.5     3.5 1
-1846  4 30     3.7     3.7     3.7 1
-1846  5  1     2.7     2.7     2.7 1
-1846  5  2     3.0     3.0     3.0 1
-1846  5  3     2.0     2.0     2.0 1
-1846  5  4    -0.1    -0.1    -0.1 1
-1846  5  5     2.2     2.2     2.1 1
-1846  5  6     2.7     2.7     2.6 1
-1846  5  7     1.8     1.8     1.7 1
-1846  5  8     3.4     3.4     3.3 1
-1846  5  9     4.6     4.6     4.5 1
-1846  5 10     4.4     4.4     4.2 1
-1846  5 11     6.1     6.1     5.9 1
-1846  5 12     7.5     7.5     7.3 1
-1846  5 13     6.8     6.8     6.6 1
-1846  5 14     7.6     7.6     7.3 1
-1846  5 15    11.2    11.2    10.9 1
-1846  5 16    13.4    13.4    13.1 1
-1846  5 17    10.3    10.3    10.0 1
-1846  5 18     9.3     9.3     9.0 1
-1846  5 19     6.2     6.2     5.8 1
-1846  5 20    10.6    10.6    10.2 1
-1846  5 21    11.1    11.1    10.7 1
-1846  5 22    13.1    13.1    12.7 1
-1846  5 23    13.8    13.8    13.3 1
-1846  5 24    11.7    11.7    11.2 1
-1846  5 25     6.9     6.9     6.4 1
-1846  5 26     9.3     9.3     8.8 1
-1846  5 27    10.6    10.6    10.1 1
-1846  5 28     6.9     6.9     6.3 1
-1846  5 29     7.9     7.9     7.3 1
-1846  5 30    11.9    11.9    11.3 1
-1846  5 31     9.0     9.0     8.4 1
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-1846  6  2     9.0     9.0     8.3 1
-1846  6  3    11.2    11.2    10.5 1
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-1846  6  6    13.7    13.7    13.0 1
-1846  6  7    14.2    14.2    13.5 1
-1846  6  8    12.0    12.0    11.3 1
-1846  6  9    14.2    14.2    13.5 1
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-1846  6 11    17.8    17.8    17.1 1
-1846  6 12    13.6    13.6    12.9 1
-1846  6 13    16.8    16.8    16.1 1
-1846  6 14    15.3    15.3    14.6 1
-1846  6 15    14.1    14.1    13.4 1
-1846  6 16    15.7    15.7    15.0 1
-1846  6 17    18.2    18.2    17.5 1
-1846  6 18    20.5    20.5    19.8 1
-1846  6 19    18.7    18.7    18.0 1
-1846  6 20    19.9    19.9    19.2 1
-1846  6 21    14.1    14.1    13.4 1
-1846  6 22    13.6    13.6    12.9 1
-1846  6 23    13.2    13.2    12.5 1
-1846  6 24     9.6     9.6     8.9 1
-1846  6 25     9.7     9.7     9.0 1
-1846  6 26    12.2    12.2    11.5 1
-1846  6 27    12.2    12.2    11.5 1
-1846  6 28    15.9    15.9    15.2 1
-1846  6 29    19.0    19.0    18.3 1
-1846  6 30    17.6    17.6    16.9 1
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-1846  7  2    16.0    16.0    15.3 1
-1846  7  3    15.2    15.2    14.5 1
-1846  7  4    18.7    18.7    18.0 1
-1846  7  5    20.9    20.9    20.2 1
-1846  7  6    21.2    21.2    20.5 1
-1846  7  7    17.1    17.1    16.4 1
-1846  7  8    15.0    15.0    14.3 1
-1846  7  9    15.6    15.6    14.9 1
-1846  7 10    15.8    15.8    15.1 1
-1846  7 11    16.3    16.3    15.6 1
-1846  7 12    16.6    16.6    15.9 1
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-1846  7 14    18.4    18.4    17.7 1
-1846  7 15    17.6    17.6    16.9 1
-1846  7 16    16.9    16.9    16.2 1
-1846  7 17    15.7    15.7    15.0 1
-1846  7 18    17.3    17.3    16.6 1
-1846  7 19    18.1    18.1    17.4 1
-1846  7 20    18.1    18.1    17.4 1
-1846  7 21    18.4    18.4    17.7 1
-1846  7 22    18.2    18.2    17.5 1
-1846  7 23    18.6    18.6    17.9 1
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-1846  7 25    21.1    21.1    20.4 1
-1846  7 26    20.6    20.6    19.9 1
-1846  7 27    19.6    19.6    18.9 1
-1846  7 28    20.2    20.2    19.5 1
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-1846  8 25    14.6    14.6    14.5 1
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-1846  8 27    16.6    16.6    16.5 1
-1846  8 28    16.7    16.7    16.7 1
-1846  8 29    17.7    17.7    17.7 1
-1846  8 30    18.8    18.8    18.8 1
-1846  8 31    18.9    18.9    18.9 1
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-1846  9  6    18.4    18.4    18.4 1
-1846  9  7    17.2    17.2    17.2 1
-1846  9  8    17.0    17.0    17.0 1
-1846  9  9    17.8    17.8    17.8 1
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-1846 10 12     9.1     9.1     9.1 1
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-1846 10 17    10.9    10.9    10.9 1
-1846 10 18    11.2    11.2    11.2 1
-1846 10 19    10.9    10.9    10.9 1
-1846 10 20    11.6    11.6    11.6 1
-1846 10 21    12.5    12.5    12.5 1
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-1846 10 23     9.8     9.8     9.8 1
-1846 10 24     9.7     9.7     9.7 1
-1846 10 25    10.9    10.9    10.9 1
-1846 10 26    11.4    11.4    11.4 1
-1846 10 27     9.9     9.9     9.9 1
-1846 10 28     9.6     9.6     9.6 1
-1846 10 29     8.9     8.9     8.9 1
-1846 10 30     6.8     6.8     6.8 1
-1846 10 31     7.7     7.7     7.7 1
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-1846 11  3     6.8     6.8     6.8 1
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-1846 11  5     6.3     6.3     6.3 1
-1846 11  6     5.7     5.7     5.7 1
-1846 11  7     4.1     4.1     4.1 1
-1846 11  8     3.9     3.9     3.9 1
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-1846 11 11     4.3     4.3     4.3 1
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-1846 11 23     5.5     5.5     5.5 1
-1846 11 24     2.8     2.8     2.8 1
-1846 11 25     3.6     3.6     3.6 1
-1846 11 26     3.0     3.0     3.0 1
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-1846 12 11    -4.6    -4.6    -4.6 1
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-1846 12 17    -7.7    -7.7    -7.7 1
-1846 12 18   -11.7   -11.7   -11.7 1
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-1846 12 23    -8.2    -8.2    -8.2 1
-1846 12 24   -10.0   -10.0   -10.0 1
-1846 12 25    -8.8    -8.8    -8.8 1
-1846 12 26   -11.3   -11.3   -11.3 1
-1846 12 27    -8.4    -8.4    -8.4 1
-1846 12 28   -12.4   -12.4   -12.4 1
-1846 12 29    -2.2    -2.2    -2.2 1
-1846 12 30     1.2     1.2     1.2 1
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-1847  1  8    -5.9    -5.9    -5.9 1
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-1847  1 10    -3.4    -3.4    -3.4 1
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-1847  2 26    -9.1    -9.1    -9.1 1
-1847  2 27     0.3     0.3     0.3 1
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-1847  4 25     2.0     2.0     2.0 1
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-1847  4 27     1.1     1.1     1.1 1
-1847  4 28     2.1     2.1     2.1 1
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-1847  5 11     3.3     3.3     3.1 1
-1847  5 12     4.9     4.9     4.7 1
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-1847  5 24     7.7     7.7     7.2 1
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-1847  5 28     9.8     9.8     9.2 1
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-1848  2 20    -1.5    -1.5    -1.5 1
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-1848  2 25    -4.4    -4.4    -4.4 1
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-1848  2 28    -3.2    -3.2    -3.2 1
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-1848  3 11    -2.2    -2.2    -2.2 1
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-1848  3 26     1.0     1.0     1.0 1
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-1848  3 28     1.6     1.6     1.6 1
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-1848  3 31     3.8     3.8     3.8 1
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-1848  4 16     1.8     1.8     1.8 1
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-1848  4 18     2.3     2.3     2.3 1
-1848  4 19     4.9     4.9     4.9 1
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-1848  4 21     7.9     7.9     7.9 1
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-1848  4 27     5.6     5.6     5.6 1
-1848  4 28     5.1     5.1     5.1 1
-1848  4 29     6.6     6.6     6.6 1
-1848  4 30     6.2     6.2     6.2 1
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-1848  5 17    17.0    17.0    16.7 1
-1848  5 18    16.3    16.3    16.0 1
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-1848  5 22    13.3    13.3    12.9 1
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-1848  5 25     9.4     9.4     8.9 1
-1848  5 26     6.3     6.3     5.8 1
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-1848  5 28     8.0     8.0     7.4 1
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-1848  5 31    12.7    12.7    12.1 1
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-1848  6  8    16.8    16.8    16.1 1
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-1848  6 11    17.9    17.9    17.2 1
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-1849  1 23     0.2     0.2     0.2 1
-1849  1 24    -2.9    -2.9    -2.9 1
-1849  1 25    -3.2    -3.2    -3.2 1
-1849  1 26     2.4     2.4     2.4 1
-1849  1 27    -8.2    -8.2    -8.2 1
-1849  1 28   -12.4   -12.4   -12.4 1
-1849  1 29   -11.1   -11.1   -11.1 1
-1849  1 30    -9.6    -9.6    -9.6 1
-1849  1 31    -3.2    -3.2    -3.2 1
-1849  2  1    -5.8    -5.8    -5.8 1
-1849  2  2    -6.0    -6.0    -6.0 1
-1849  2  3     0.5     0.5     0.5 1
-1849  2  4     0.8     0.8     0.8 1
-1849  2  5    -1.8    -1.8    -1.8 1
-1849  2  6    -4.1    -4.1    -4.1 1
-1849  2  7     1.7     1.7     1.7 1
-1849  2  8     3.2     3.2     3.2 1
-1849  2  9     2.5     2.5     2.5 1
-1849  2 10     0.2     0.2     0.2 1
-1849  2 11     2.4     2.4     2.4 1
-1849  2 12    -0.4    -0.4    -0.4 1
-1849  2 13     1.3     1.3     1.3 1
-1849  2 14     1.0     1.0     1.0 1
-1849  2 15    -0.1    -0.1    -0.1 1
-1849  2 16    -0.7    -0.7    -0.7 1
-1849  2 17     1.5     1.5     1.5 1
-1849  2 18     3.8     3.8     3.8 1
-1849  2 19    -0.2    -0.2    -0.2 1
-1849  2 20    -3.5    -3.5    -3.5 1
-1849  2 21    -5.3    -5.3    -5.3 1
-1849  2 22    -6.5    -6.5    -6.5 1
-1849  2 23    -6.0    -6.0    -6.0 1
-1849  2 24    -3.6    -3.6    -3.6 1
-1849  2 25    -6.4    -6.4    -6.4 1
-1849  2 26    -8.2    -8.2    -8.2 1
-1849  2 27    -5.9    -5.9    -5.9 1
-1849  2 28    -5.4    -5.4    -5.4 1
-1849  3  1     1.3     1.3     1.3 1
-1849  3  2    -2.7    -2.7    -2.7 1
-1849  3  3    -4.5    -4.5    -4.5 1
-1849  3  4    -2.0    -2.0    -2.0 1
-1849  3  5     4.1     4.1     4.1 1
-1849  3  6     3.5     3.5     3.5 1
-1849  3  7     3.9     3.9     3.9 1
-1849  3  8    -1.9    -1.9    -1.9 1
-1849  3  9    -6.2    -6.2    -6.2 1
-1849  3 10    -4.8    -4.8    -4.8 1
-1849  3 11     1.1     1.1     1.1 1
-1849  3 12     1.4     1.4     1.4 1
-1849  3 13    -3.4    -3.4    -3.4 1
-1849  3 14    -8.4    -8.4    -8.4 1
-1849  3 15    -9.5    -9.5    -9.5 1
-1849  3 16    -4.0    -4.0    -4.0 1
-1849  3 17     0.2     0.2     0.2 1
-1849  3 18    -3.4    -3.4    -3.4 1
-1849  3 19    -2.0    -2.0    -2.0 1
-1849  3 20    -1.9    -1.9    -1.9 1
-1849  3 21    -1.5    -1.5    -1.5 1
-1849  3 22    -2.4    -2.4    -2.4 1
-1849  3 23    -2.5    -2.5    -2.5 1
-1849  3 24    -2.1    -2.1    -2.1 1
-1849  3 25    -0.1    -0.1    -0.1 1
-1849  3 26    -0.4    -0.4    -0.4 1
-1849  3 27    -0.4    -0.4    -0.4 1
-1849  3 28    -2.1    -2.1    -2.1 1
-1849  3 29    -0.6    -0.6    -0.6 1
-1849  3 30    -0.5    -0.5    -0.5 1
-1849  3 31    -0.2    -0.2    -0.2 1
-1849  4  1     0.4     0.4     0.4 1
-1849  4  2     1.0     1.0     1.0 1
-1849  4  3     1.0     1.0     1.0 1
-1849  4  4     0.9     0.9     0.9 1
-1849  4  5    -0.1    -0.1    -0.1 1
-1849  4  6     0.6     0.6     0.6 1
-1849  4  7     0.6     0.6     0.6 1
-1849  4  8     0.1     0.1     0.1 1
-1849  4  9     0.1     0.1     0.1 1
-1849  4 10    -0.6    -0.6    -0.6 1
-1849  4 11     0.4     0.4     0.4 1
-1849  4 12    -2.0    -2.0    -2.0 1
-1849  4 13    -1.8    -1.8    -1.8 1
-1849  4 14    -0.2    -0.2    -0.2 1
-1849  4 15    -0.7    -0.7    -0.7 1
-1849  4 16    -0.5    -0.5    -0.5 1
-1849  4 17     3.1     3.1     3.1 1
-1849  4 18     2.5     2.5     2.5 1
-1849  4 19     1.2     1.2     1.2 1
-1849  4 20     2.3     2.3     2.3 1
-1849  4 21     3.7     3.7     3.7 1
-1849  4 22     1.0     1.0     1.0 1
-1849  4 23     1.0     1.0     1.0 1
-1849  4 24     2.2     2.2     2.2 1
-1849  4 25     4.0     4.0     4.0 1
-1849  4 26     6.5     6.5     6.5 1
-1849  4 27     7.8     7.8     7.8 1
-1849  4 28     8.0     8.0     8.0 1
-1849  4 29     7.9     7.9     7.9 1
-1849  4 30     8.9     8.9     8.9 1
-1849  5  1     9.7     9.7     9.7 1
-1849  5  2     9.8     9.8     9.8 1
-1849  5  3     9.2     9.2     9.2 1
-1849  5  4     8.6     8.6     8.6 1
-1849  5  5     3.5     3.5     3.4 1
-1849  5  6     1.1     1.1     1.0 1
-1849  5  7     2.5     2.5     2.4 1
-1849  5  8     4.4     4.4     4.3 1
-1849  5  9     5.3     5.3     5.2 1
-1849  5 10     5.0     5.0     4.8 1
-1849  5 11     5.7     5.7     5.5 1
-1849  5 12     4.9     4.9     4.7 1
-1849  5 13     4.6     4.6     4.4 1
-1849  5 14     4.2     4.2     3.9 1
-1849  5 15     6.7     6.7     6.4 1
-1849  5 16    11.0    11.0    10.7 1
-1849  5 17    10.8    10.8    10.5 1
-1849  5 18    11.3    11.3    11.0 1
-1849  5 19    13.2    13.2    12.8 1
-1849  5 20    10.3    10.3     9.9 1
-1849  5 21     7.9     7.9     7.5 1
-1849  5 22     9.5     9.5     9.1 1
-1849  5 23    11.2    11.2    10.7 1
-1849  5 24    14.8    14.8    14.3 1
-1849  5 25    16.6    16.6    16.1 1
-1849  5 26    17.1    17.1    16.6 1
-1849  5 27    19.4    19.4    18.9 1
-1849  5 28    19.4    19.4    18.8 1
-1849  5 29    14.9    14.9    14.3 1
-1849  5 30    15.2    15.2    14.6 1
-1849  5 31    17.0    17.0    16.4 1
-1849  6  1    18.3    18.3    17.6 1
-1849  6  2    16.2    16.2    15.5 1
-1849  6  3    15.4    15.4    14.7 1
-1849  6  4    16.1    16.1    15.4 1
-1849  6  5    17.5    17.5    16.8 1
-1849  6  6    12.4    12.4    11.7 1
-1849  6  7    12.8    12.8    12.1 1
-1849  6  8    12.8    12.8    12.1 1
-1849  6  9     9.8     9.8     9.1 1
-1849  6 10     8.9     8.9     8.2 1
-1849  6 11    10.4    10.4     9.7 1
-1849  6 12    12.3    12.3    11.6 1
-1849  6 13    12.2    12.2    11.5 1
-1849  6 14     9.2     9.2     8.5 1
-1849  6 15    13.4    13.4    12.7 1
-1849  6 16    14.3    14.3    13.6 1
-1849  6 17     8.5     8.5     7.8 1
-1849  6 18    10.5    10.5     9.8 1
-1849  6 19    12.4    12.4    11.7 1
-1849  6 20    11.6    11.6    10.9 1
-1849  6 21    11.8    11.8    11.1 1
-1849  6 22     9.1     9.1     8.4 1
-1849  6 23    13.8    13.8    13.1 1
-1849  6 24    14.6    14.6    13.9 1
-1849  6 25    16.0    16.0    15.3 1
-1849  6 26    14.9    14.9    14.2 1
-1849  6 27    17.1    17.1    16.4 1
-1849  6 28    13.3    13.3    12.6 1
-1849  6 29     9.8     9.8     9.1 1
-1849  6 30    11.6    11.6    10.9 1
-1849  7  1     9.2     9.2     8.5 1
-1849  7  2    11.8    11.8    11.1 1
-1849  7  3    13.2    13.2    12.5 1
-1849  7  4    12.6    12.6    11.9 1
-1849  7  5    13.4    13.4    12.7 1
-1849  7  6    15.2    15.2    14.5 1
-1849  7  7    17.1    17.1    16.4 1
-1849  7  8    20.0    20.0    19.3 1
-1849  7  9    18.8    18.8    18.1 1
-1849  7 10    15.9    15.9    15.2 1
-1849  7 11    15.9    15.9    15.2 1
-1849  7 12    17.3    17.3    16.6 1
-1849  7 13    17.1    17.1    16.4 1
-1849  7 14    15.1    15.1    14.4 1
-1849  7 15    16.5    16.5    15.8 1
-1849  7 16    17.6    17.6    16.9 1
-1849  7 17    15.6    15.6    14.9 1
-1849  7 18    16.5    16.5    15.8 1
-1849  7 19    16.8    16.8    16.1 1
-1849  7 20    16.5    16.5    15.8 1
-1849  7 21    16.3    16.3    15.6 1
-1849  7 22    16.3    16.3    15.6 1
-1849  7 23    16.7    16.7    16.0 1
-1849  7 24    15.3    15.3    14.6 1
-1849  7 25    16.0    16.0    15.3 1
-1849  7 26    16.3    16.3    15.6 1
-1849  7 27    16.5    16.5    15.8 1
-1849  7 28    16.4    16.4    15.7 1
-1849  7 29    16.8    16.8    16.1 1
-1849  7 30    18.1    18.1    17.4 1
-1849  7 31    16.5    16.5    15.8 1
-1849  8  1    13.3    13.3    12.7 1
-1849  8  2    16.2    16.2    15.6 1
-1849  8  3    15.2    15.2    14.6 1
-1849  8  4    17.3    17.3    16.7 1
-1849  8  5    18.3    18.3    17.8 1
-1849  8  6    19.4    19.4    18.9 1
-1849  8  7    18.5    18.5    18.0 1
-1849  8  8    15.6    15.6    15.1 1
-1849  8  9    18.6    18.6    18.1 1
-1849  8 10    18.4    18.4    18.0 1
-1849  8 11    15.4    15.4    15.0 1
-1849  8 12    16.5    16.5    16.1 1
-1849  8 13    16.7    16.7    16.3 1
-1849  8 14    16.3    16.3    16.0 1
-1849  8 15    16.4    16.4    16.1 1
-1849  8 16    16.4    16.4    16.1 1
-1849  8 17    16.0    16.0    15.7 1
-1849  8 18    14.1    14.1    13.8 1
-1849  8 19    10.9    10.9    10.7 1
-1849  8 20    12.6    12.6    12.4 1
-1849  8 21    14.9    14.9    14.7 1
-1849  8 22    17.0    17.0    16.8 1
-1849  8 23    16.8    16.8    16.7 1
-1849  8 24    16.4    16.4    16.3 1
-1849  8 25    15.5    15.5    15.4 1
-1849  8 26    14.7    14.7    14.6 1
-1849  8 27    15.0    15.0    14.9 1
-1849  8 28    14.3    14.3    14.3 1
-1849  8 29    13.2    13.2    13.2 1
-1849  8 30    14.3    14.3    14.3 1
-1849  8 31    14.4    14.4    14.4 1
-1849  9  1    14.2    14.2    14.2 1
-1849  9  2    15.1    15.1    15.1 1
-1849  9  3    14.1    14.1    14.1 1
-1849  9  4    14.1    14.1    14.1 1
-1849  9  5    15.2    15.2    15.2 1
-1849  9  6    14.0    14.0    14.0 1
-1849  9  7     7.4     7.4     7.4 1
-1849  9  8     7.7     7.7     7.7 1
-1849  9  9    10.6    10.6    10.6 1
-1849  9 10     9.5     9.5     9.5 1
-1849  9 11    13.1    13.1    13.1 1
-1849  9 12    14.8    14.8    14.8 1
-1849  9 13    12.8    12.8    12.8 1
-1849  9 14    12.8    12.8    12.8 1
-1849  9 15    12.1    12.1    12.1 1
-1849  9 16    12.0    12.0    12.0 1
-1849  9 17    12.6    12.6    12.6 1
-1849  9 18    13.5    13.5    13.5 1
-1849  9 19    11.9    11.9    11.9 1
-1849  9 20    12.0    12.0    12.0 1
-1849  9 21     9.6     9.6     9.6 1
-1849  9 22    11.2    11.2    11.2 1
-1849  9 23    12.0    12.0    12.0 1
-1849  9 24    11.6    11.6    11.6 1
-1849  9 25    11.9    11.9    11.9 1
-1849  9 26     7.5     7.5     7.5 1
-1849  9 27     4.8     4.8     4.8 1
-1849  9 28     7.4     7.4     7.4 1
-1849  9 29     7.3     7.3     7.3 1
-1849  9 30     7.6     7.6     7.6 1
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-1849 10  2     4.1     4.1     4.1 1
-1849 10  3     5.4     5.4     5.4 1
-1849 10  4     6.4     6.4     6.4 1
-1849 10  5     5.1     5.1     5.1 1
-1849 10  6     3.4     3.4     3.4 1
-1849 10  7     2.3     2.3     2.3 1
-1849 10  8     3.7     3.7     3.7 1
-1849 10  9     4.0     4.0     4.0 1
-1849 10 10     0.7     0.7     0.7 1
-1849 10 11    -0.3    -0.3    -0.3 1
-1849 10 12    -0.3    -0.3    -0.3 1
-1849 10 13    -0.2    -0.2    -0.2 1
-1849 10 14     0.7     0.7     0.7 1
-1849 10 15     4.4     4.4     4.4 1
-1849 10 16     5.1     5.1     5.1 1
-1849 10 17     5.8     5.8     5.8 1
-1849 10 18     5.6     5.6     5.6 1
-1849 10 19    11.7    11.7    11.7 1
-1849 10 20     7.9     7.9     7.9 1
-1849 10 21     6.9     6.9     6.9 1
-1849 10 22     6.6     6.6     6.6 1
-1849 10 23     7.4     7.4     7.4 1
-1849 10 24     8.1     8.1     8.1 1
-1849 10 25     6.1     6.1     6.1 1
-1849 10 26     8.3     8.3     8.3 1
-1849 10 27     6.0     6.0     6.0 1
-1849 10 28     6.2     6.2     6.2 1
-1849 10 29     4.6     4.6     4.6 1
-1849 10 30     7.0     7.0     7.0 1
-1849 10 31     7.5     7.5     7.5 1
-1849 11  1     5.5     5.5     5.5 1
-1849 11  2     5.3     5.3     5.3 1
-1849 11  3     5.6     5.6     5.6 1
-1849 11  4     6.4     6.4     6.4 1
-1849 11  5     8.9     8.9     8.9 1
-1849 11  6     8.0     8.0     8.0 1
-1849 11  7     4.9     4.9     4.9 1
-1849 11  8     0.8     0.8     0.8 1
-1849 11  9     1.7     1.7     1.7 1
-1849 11 10     0.6     0.6     0.6 1
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-1849 11 12     4.2     4.2     4.2 1
-1849 11 13     7.6     7.6     7.6 1
-1849 11 14     7.3     7.3     7.3 1
-1849 11 15     5.8     5.8     5.8 1
-1849 11 16     0.6     0.6     0.6 1
-1849 11 17    -1.7    -1.7    -1.7 1
-1849 11 18    -3.8    -3.8    -3.8 1
-1849 11 19     1.2     1.2     1.2 1
-1849 11 20    -1.3    -1.3    -1.3 1
-1849 11 21    -1.0    -1.0    -1.0 1
-1849 11 22    -1.3    -1.3    -1.3 1
-1849 11 23    -0.5    -0.5    -0.5 1
-1849 11 24     1.1     1.1     1.1 1
-1849 11 25    -4.9    -4.9    -4.9 1
-1849 11 26    -8.5    -8.5    -8.5 1
-1849 11 27    -7.0    -7.0    -7.0 1
-1849 11 28    -4.1    -4.1    -4.1 1
-1849 11 29    -7.5    -7.5    -7.5 1
-1849 11 30    -1.2    -1.2    -1.2 1
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-1849 12  6    -1.0    -1.0    -1.0 1
-1849 12  7    -1.9    -1.9    -1.9 1
-1849 12  8    -2.3    -2.3    -2.3 1
-1849 12  9    -0.7    -0.7    -0.7 1
-1849 12 10    -0.2    -0.2    -0.2 1
-1849 12 11    -4.7    -4.7    -4.7 1
-1849 12 12    -6.1    -6.1    -6.1 1
-1849 12 13    -6.5    -6.5    -6.5 1
-1849 12 14    -5.1    -5.1    -5.1 1
-1849 12 15    -1.8    -1.8    -1.8 1
-1849 12 16    -1.3    -1.3    -1.3 1
-1849 12 17     2.5     2.5     2.5 1
-1849 12 18    -1.0    -1.0    -1.0 1
-1849 12 19    -5.9    -5.9    -5.9 1
-1849 12 20    -6.9    -6.9    -6.9 1
-1849 12 21    -9.3    -9.3    -9.3 1
-1849 12 22   -10.1   -10.1   -10.1 1
-1849 12 23    -4.5    -4.5    -4.5 1
-1849 12 24    -6.4    -6.4    -6.4 1
-1849 12 25    -1.5    -1.5    -1.5 1
-1849 12 26    -1.7    -1.7    -1.7 1
-1849 12 27    -0.4    -0.4    -0.4 1
-1849 12 28     1.2     1.2     1.2 1
-1849 12 29    -0.8    -0.8    -0.8 1
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-1849 12 31    -6.4    -6.4    -6.4 1
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-1850  1  5    -1.6    -1.6    -1.6 1
-1850  1  6    -2.3    -2.3    -2.3 1
-1850  1  7    -2.3    -2.3    -2.3 1
-1850  1  8    -2.6    -2.6    -2.6 1
-1850  1  9    -3.0    -3.0    -3.0 1
-1850  1 10    -5.3    -5.3    -5.3 1
-1850  1 11    -5.7    -5.7    -5.7 1
-1850  1 12    -7.5    -7.5    -7.5 1
-1850  1 13    -8.2    -8.2    -8.2 1
-1850  1 14    -7.8    -7.8    -7.8 1
-1850  1 15    -7.9    -7.9    -7.9 1
-1850  1 16    -9.7    -9.7    -9.7 1
-1850  1 17    -9.4    -9.4    -9.4 1
-1850  1 18    -9.9    -9.9    -9.9 1
-1850  1 19   -12.2   -12.2   -12.2 1
-1850  1 20   -17.2   -17.2   -17.2 1
-1850  1 21   -12.4   -12.4   -12.4 1
-1850  1 22    -7.6    -7.6    -7.6 1
-1850  1 23    -6.0    -6.0    -6.0 1
-1850  1 24    -6.8    -6.8    -6.8 1
-1850  1 25    -8.4    -8.4    -8.4 1
-1850  1 26   -16.8   -16.8   -16.8 1
-1850  1 27   -20.4   -20.4   -20.4 1
-1850  1 28    -8.6    -8.6    -8.6 1
-1850  1 29    -8.9    -8.9    -8.9 1
-1850  1 30   -15.5   -15.5   -15.5 1
-1850  1 31   -16.0   -16.0   -16.0 1
-1850  2  1   -10.1   -10.1   -10.1 1
-1850  2  2    -5.2    -5.2    -5.2 1
-1850  2  3    -5.9    -5.9    -5.9 1
-1850  2  4    -8.4    -8.4    -8.4 1
-1850  2  5    -4.8    -4.8    -4.8 1
-1850  2  6     0.2     0.2     0.2 1
-1850  2  7     0.8     0.8     0.8 1
-1850  2  8    -0.6    -0.6    -0.6 1
-1850  2  9    -0.9    -0.9    -0.9 1
-1850  2 10    -0.1    -0.1    -0.1 1
-1850  2 11    -4.0    -4.0    -4.0 1
-1850  2 12    -1.1    -1.1    -1.1 1
-1850  2 13    -2.7    -2.7    -2.7 1
-1850  2 14    -9.8    -9.8    -9.8 1
-1850  2 15     1.2     1.2     1.2 1
-1850  2 16     1.3     1.3     1.3 1
-1850  2 17    -1.7    -1.7    -1.7 1
-1850  2 18    -1.3    -1.3    -1.3 1
-1850  2 19     4.0     4.0     4.0 1
-1850  2 20     4.3     4.3     4.3 1
-1850  2 21     1.4     1.4     1.4 1
-1850  2 22    -1.7    -1.7    -1.7 1
-1850  2 23    -2.6    -2.6    -2.6 1
-1850  2 24    -0.3    -0.3    -0.3 1
-1850  2 25    -3.9    -3.9    -3.9 1
-1850  2 26     1.6     1.6     1.6 1
-1850  2 27    -0.3    -0.3    -0.3 1
-1850  2 28     2.9     2.9     2.9 1
-1850  3  1     4.0     4.0     4.0 1
-1850  3  2     3.7     3.7     3.7 1
-1850  3  3     5.7     5.7     5.7 1
-1850  3  4    -1.1    -1.1    -1.1 1
-1850  3  5    -5.0    -5.0    -5.0 1
-1850  3  6     4.2     4.2     4.2 1
-1850  3  7     3.7     3.7     3.7 1
-1850  3  8     3.3     3.3     3.3 1
-1850  3  9    -2.5    -2.5    -2.5 1
-1850  3 10    -0.1    -0.1    -0.1 1
-1850  3 11     0.7     0.7     0.7 1
-1850  3 12    -2.6    -2.6    -2.6 1
-1850  3 13     3.5     3.5     3.5 1
-1850  3 14    -4.8    -4.8    -4.8 1
-1850  3 15    -9.4    -9.4    -9.4 1
-1850  3 16    -9.3    -9.3    -9.3 1
-1850  3 17    -9.3    -9.3    -9.3 1
-1850  3 18    -6.3    -6.3    -6.3 1
-1850  3 19    -5.4    -5.4    -5.4 1
-1850  3 20    -5.1    -5.1    -5.1 1
-1850  3 21    -9.5    -9.5    -9.5 1
-1850  3 22   -13.2   -13.2   -13.2 1
-1850  3 23    -9.2    -9.2    -9.2 1
-1850  3 24    -9.1    -9.1    -9.1 1
-1850  3 25    -9.5    -9.5    -9.5 1
-1850  3 26    -6.1    -6.1    -6.1 1
-1850  3 27    -5.1    -5.1    -5.1 1
-1850  3 28    -3.7    -3.7    -3.7 1
-1850  3 29    -5.5    -5.5    -5.5 1
-1850  3 30    -6.5    -6.5    -6.5 1
-1850  3 31    -9.0    -9.0    -9.0 1
-1850  4  1    -7.7    -7.7    -7.7 1
-1850  4  2    -6.3    -6.3    -6.3 1
-1850  4  3    -5.3    -5.3    -5.3 1
-1850  4  4    -4.4    -4.4    -4.4 1
-1850  4  5     0.0     0.0     0.0 1
-1850  4  6     2.8     2.8     2.8 1
-1850  4  7     3.7     3.7     3.7 1
-1850  4  8     1.6     1.6     1.6 1
-1850  4  9     1.9     1.9     1.9 1
-1850  4 10     1.8     1.8     1.8 1
-1850  4 11     0.9     0.9     0.9 1
-1850  4 12     1.2     1.2     1.2 1
-1850  4 13     1.0     1.0     1.0 1
-1850  4 14     2.6     2.6     2.6 1
-1850  4 15     2.2     2.2     2.2 1
-1850  4 16     4.1     4.1     4.1 1
-1850  4 17     5.1     5.1     5.1 1
-1850  4 18     5.7     5.7     5.7 1
-1850  4 19     6.8     6.8     6.8 1
-1850  4 20     6.0     6.0     6.0 1
-1850  4 21     7.8     7.8     7.8 1
-1850  4 22     9.8     9.8     9.8 1
-1850  4 23     8.1     8.1     8.1 1
-1850  4 24     6.8     6.8     6.8 1
-1850  4 25     1.0     1.0     1.0 1
-1850  4 26     1.8     1.8     1.8 1
-1850  4 27     3.1     3.1     3.1 1
-1850  4 28     3.1     3.1     3.1 1
-1850  4 29     7.7     7.7     7.7 1
-1850  4 30     7.0     7.0     7.0 1
-1850  5  1     2.2     2.2     2.2 1
-1850  5  2     0.4     0.4     0.4 1
-1850  5  3     3.4     3.4     3.4 1
-1850  5  4     6.4     6.4     6.4 1
-1850  5  5     4.3     4.3     4.2 1
-1850  5  6     4.3     4.3     4.2 1
-1850  5  7     4.9     4.9     4.8 1
-1850  5  8     6.1     6.1     6.0 1
-1850  5  9     8.2     8.2     8.1 1
-1850  5 10     9.2     9.2     9.0 1
-1850  5 11     9.2     9.2     9.0 1
-1850  5 12     9.9     9.9     9.7 1
-1850  5 13     8.2     8.2     8.0 1
-1850  5 14    10.3    10.3    10.0 1
-1850  5 15     6.2     6.2     5.9 1
-1850  5 16     7.7     7.7     7.4 1
-1850  5 17     9.8     9.8     9.5 1
-1850  5 18    10.2    10.2     9.9 1
-1850  5 19    16.7    16.7    16.3 1
-1850  5 20    16.7    16.7    16.3 1
-1850  5 21    16.4    16.4    16.0 1
-1850  5 22    16.5    16.5    16.1 1
-1850  5 23    16.9    16.9    16.4 1
-1850  5 24    15.5    15.5    15.0 1
-1850  5 25    17.9    17.9    17.4 1
-1850  5 26    16.4    16.4    15.9 1
-1850  5 27    16.0    16.0    15.5 1
-1850  5 28    16.5    16.5    15.9 1
-1850  5 29    13.1    13.1    12.5 1
-1850  5 30    15.2    15.2    14.6 1
-1850  5 31    17.1    17.1    16.5 1
-1850  6  1    17.3    17.3    16.6 1
-1850  6  2    17.7    17.7    17.0 1
-1850  6  3    18.0    18.0    17.3 1
-1850  6  4    20.1    20.1    19.4 1
-1850  6  5    18.8    18.8    18.1 1
-1850  6  6    19.7    19.7    19.0 1
-1850  6  7    15.0    15.0    14.3 1
-1850  6  8    16.8    16.8    16.1 1
-1850  6  9    15.8    15.8    15.1 1
-1850  6 10    17.0    17.0    16.3 1
-1850  6 11    17.8    17.8    17.1 1
-1850  6 12    15.1    15.1    14.4 1
-1850  6 13    16.5    16.5    15.8 1
-1850  6 14    15.1    15.1    14.4 1
-1850  6 15    14.1    14.1    13.4 1
-1850  6 16     9.7     9.7     9.0 1
-1850  6 17    12.7    12.7    12.0 1
-1850  6 18    15.0    15.0    14.3 1
-1850  6 19    15.4    15.4    14.7 1
-1850  6 20    17.9    17.9    17.2 1
-1850  6 21    18.3    18.3    17.6 1
-1850  6 22    20.0    20.0    19.3 1
-1850  6 23    18.4    18.4    17.7 1
-1850  6 24    16.1    16.1    15.4 1
-1850  6 25    20.6    20.6    19.9 1
-1850  6 26    16.9    16.9    16.2 1
-1850  6 27    12.0    12.0    11.3 1
-1850  6 28    12.9    12.9    12.2 1
-1850  6 29    15.6    15.6    14.9 1
-1850  6 30    14.1    14.1    13.4 1
-1850  7  1    15.3    15.3    14.6 1
-1850  7  2    16.8    16.8    16.1 1
-1850  7  3    16.8    16.8    16.1 1
-1850  7  4    17.6    17.6    16.9 1
-1850  7  5    14.2    14.2    13.5 1
-1850  7  6    13.8    13.8    13.1 1
-1850  7  7    15.5    15.5    14.8 1
-1850  7  8    12.7    12.7    12.0 1
-1850  7  9    12.3    12.3    11.6 1
-1850  7 10    14.3    14.3    13.6 1
-1850  7 11    15.1    15.1    14.4 1
-1850  7 12    17.1    17.1    16.4 1
-1850  7 13    19.0    19.0    18.3 1
-1850  7 14    19.5    19.5    18.8 1
-1850  7 15    20.4    20.4    19.7 1
-1850  7 16    18.3    18.3    17.6 1
-1850  7 17    18.8    18.8    18.1 1
-1850  7 18    20.5    20.5    19.8 1
-1850  7 19    22.8    22.8    22.1 1
-1850  7 20    20.9    20.9    20.2 1
-1850  7 21    18.0    18.0    17.3 1
-1850  7 22    18.2    18.2    17.5 1
-1850  7 23    18.4    18.4    17.7 1
-1850  7 24    18.5    18.5    17.8 1
-1850  7 25    19.0    19.0    18.3 1
-1850  7 26    15.8    15.8    15.1 1
-1850  7 27    15.7    15.7    15.0 1
-1850  7 28    18.4    18.4    17.7 1
-1850  7 29    21.5    21.5    20.8 1
-1850  7 30    20.8    20.8    20.1 1
-1850  7 31    23.3    23.3    22.6 1
-1850  8  1    16.7    16.7    16.1 1
-1850  8  2    18.1    18.1    17.5 1
-1850  8  3    19.6    19.6    19.0 1
-1850  8  4    19.5    19.5    18.9 1
-1850  8  5    19.5    19.5    19.0 1
-1850  8  6    22.8    22.8    22.3 1
-1850  8  7    23.0    23.0    22.5 1
-1850  8  8    20.9    20.9    20.4 1
-1850  8  9    18.9    18.9    18.4 1
-1850  8 10    20.9    20.9    20.5 1
-1850  8 11    19.2    19.2    18.8 1
-1850  8 12    21.0    21.0    20.6 1
-1850  8 13    20.8    20.8    20.4 1
-1850  8 14    20.9    20.9    20.6 1
-1850  8 15    23.6    23.6    23.3 1
-1850  8 16    24.6    24.6    24.3 1
-1850  8 17    20.4    20.4    20.1 1
-1850  8 18    13.0    13.0    12.7 1
-1850  8 19    15.2    15.2    15.0 1
-1850  8 20    15.8    15.8    15.6 1
-1850  8 21    14.3    14.3    14.1 1
-1850  8 22    12.7    12.7    12.5 1
-1850  8 23    14.9    14.9    14.8 1
-1850  8 24    13.5    13.5    13.4 1
-1850  8 25    13.4    13.4    13.3 1
-1850  8 26    14.3    14.3    14.2 1
-1850  8 27    13.9    13.9    13.8 1
-1850  8 28    12.2    12.2    12.2 1
-1850  8 29    11.5    11.5    11.5 1
-1850  8 30    13.0    13.0    13.0 1
-1850  8 31    10.4    10.4    10.4 1
-1850  9  1    12.0    12.0    12.0 1
-1850  9  2    13.4    13.4    13.4 1
-1850  9  3    10.2    10.2    10.2 1
-1850  9  4    10.0    10.0    10.0 1
-1850  9  5    10.4    10.4    10.4 1
-1850  9  6    10.4    10.4    10.4 1
-1850  9  7     7.2     7.2     7.2 1
-1850  9  8     7.6     7.6     7.6 1
-1850  9  9     7.6     7.6     7.6 1
-1850  9 10     8.7     8.7     8.7 1
-1850  9 11     7.9     7.9     7.9 1
-1850  9 12    10.5    10.5    10.5 1
-1850  9 13     9.7     9.7     9.7 1
-1850  9 14    11.6    11.6    11.6 1
-1850  9 15    12.3    12.3    12.3 1
-1850  9 16    11.3    11.3    11.3 1
-1850  9 17     9.1     9.1     9.1 1
-1850  9 18    12.3    12.3    12.3 1
-1850  9 19    10.8    10.8    10.8 1
-1850  9 20     9.6     9.6     9.6 1
-1850  9 21    12.9    12.9    12.9 1
-1850  9 22    12.8    12.8    12.8 1
-1850  9 23    13.2    13.2    13.2 1
-1850  9 24    12.8    12.8    12.8 1
-1850  9 25    13.0    13.0    13.0 1
-1850  9 26    10.4    10.4    10.4 1
-1850  9 27     8.7     8.7     8.7 1
-1850  9 28    11.2    11.2    11.2 1
-1850  9 29    11.0    11.0    11.0 1
-1850  9 30     9.4     9.4     9.4 1
-1850 10  1    12.2    12.2    12.2 1
-1850 10  2    11.9    11.9    11.9 1
-1850 10  3    12.0    12.0    12.0 1
-1850 10  4     9.3     9.3     9.3 1
-1850 10  5     9.8     9.8     9.8 1
-1850 10  6    10.8    10.8    10.8 1
-1850 10  7    10.0    10.0    10.0 1
-1850 10  8    11.6    11.6    11.6 1
-1850 10  9    11.5    11.5    11.5 1
-1850 10 10     6.1     6.1     6.1 1
-1850 10 11     3.6     3.6     3.6 1
-1850 10 12     0.1     0.1     0.1 1
-1850 10 13     0.7     0.7     0.7 1
-1850 10 14     1.2     1.2     1.2 1
-1850 10 15     2.6     2.6     2.6 1
-1850 10 16     1.7     1.7     1.7 1
-1850 10 17     1.8     1.8     1.8 1
-1850 10 18     2.1     2.1     2.1 1
-1850 10 19     2.0     2.0     2.0 1
-1850 10 20     1.7     1.7     1.7 1
-1850 10 21     0.1     0.1     0.1 1
-1850 10 22    -1.2    -1.2    -1.2 1
-1850 10 23     1.1     1.1     1.1 1
-1850 10 24     1.8     1.8     1.8 1
-1850 10 25     2.7     2.7     2.7 1
-1850 10 26     1.0     1.0     1.0 1
-1850 10 27    -0.1    -0.1    -0.1 1
-1850 10 28     0.8     0.8     0.8 1
-1850 10 29     4.6     4.6     4.6 1
-1850 10 30     4.3     4.3     4.3 1
-1850 10 31     5.3     5.3     5.3 1
-1850 11  1     2.3     2.3     2.3 1
-1850 11  2     5.8     5.8     5.8 1
-1850 11  3     5.5     5.5     5.5 1
-1850 11  4     6.8     6.8     6.8 1
-1850 11  5     5.4     5.4     5.4 1
-1850 11  6     2.6     2.6     2.6 1
-1850 11  7    -0.5    -0.5    -0.5 1
-1850 11  8     5.7     5.7     5.7 1
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-1850 11 10    -1.7    -1.7    -1.7 1
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-1850 11 12    -2.9    -2.9    -2.9 1
-1850 11 13    -2.5    -2.5    -2.5 1
-1850 11 14    -1.7    -1.7    -1.7 1
-1850 11 15    -3.2    -3.2    -3.2 1
-1850 11 16    -5.8    -5.8    -5.8 1
-1850 11 17    -6.1    -6.1    -6.1 1
-1850 11 18    -4.7    -4.7    -4.7 1
-1850 11 19    -4.6    -4.6    -4.6 1
-1850 11 20    -2.7    -2.7    -2.7 1
-1850 11 21    -2.2    -2.2    -2.2 1
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-1850 11 23    -3.0    -3.0    -3.0 1
-1850 11 24     3.6     3.6     3.6 1
-1850 11 25     5.8     5.8     5.8 1
-1850 11 26     4.6     4.6     4.6 1
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-1850 11 28    -5.4    -5.4    -5.4 1
-1850 11 29    -4.6    -4.6    -4.6 1
-1850 11 30    -1.4    -1.4    -1.4 1
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-1850 12  4     0.2     0.2     0.2 1
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-1850 12  6     2.8     2.8     2.8 1
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-1850 12  8     5.6     5.6     5.6 1
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-1850 12 10    -1.3    -1.3    -1.3 1
-1850 12 11    -1.6    -1.6    -1.6 1
-1850 12 12     3.5     3.5     3.5 1
-1850 12 13     3.2     3.2     3.2 1
-1850 12 14     2.6     2.6     2.6 1
-1850 12 15     2.4     2.4     2.4 1
-1850 12 16     0.9     0.9     0.9 1
-1850 12 17     2.3     2.3     2.3 1
-1850 12 18    -1.3    -1.3    -1.3 1
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-1850 12 21    -6.7    -6.7    -6.7 1
-1850 12 22     0.5     0.5     0.5 1
-1850 12 23     3.9     3.9     3.9 1
-1850 12 24     4.0     4.0     4.0 1
-1850 12 25     3.4     3.4     3.4 1
-1850 12 26     0.4     0.4     0.4 1
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-1850 12 28     0.9     0.9     0.9 1
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-1851  1  8    -8.6    -8.6    -8.6 1
-1851  1  9    -5.2    -5.2    -5.2 1
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-1851  1 11    -2.4    -2.4    -2.4 1
-1851  1 12     1.6     1.6     1.6 1
-1851  1 13     1.8     1.8     1.8 1
-1851  1 14     1.5     1.5     1.5 1
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-1851  1 16    -0.7    -0.7    -0.7 1
-1851  1 17    -0.6    -0.6    -0.6 1
-1851  1 18     1.4     1.4     1.4 1
-1851  1 19     1.3     1.3     1.3 1
-1851  1 20     1.7     1.7     1.7 1
-1851  1 21     1.8     1.8     1.8 1
-1851  1 22     1.8     1.8     1.8 1
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-1851  1 25    -0.1    -0.1    -0.1 1
-1851  1 26    -2.1    -2.1    -2.1 1
-1851  1 27    -3.4    -3.4    -3.4 1
-1851  1 28    -6.3    -6.3    -6.3 1
-1851  1 29    -7.9    -7.9    -7.9 1
-1851  1 30    -4.1    -4.1    -4.1 1
-1851  1 31    -3.8    -3.8    -3.8 1
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-1851  2  2   -10.0   -10.0   -10.0 1
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-1851  2  4    -2.5    -2.5    -2.5 1
-1851  2  5     0.5     0.5     0.5 1
-1851  2  6     1.1     1.1     1.1 1
-1851  2  7     1.7     1.7     1.7 1
-1851  2  8     0.9     0.9     0.9 1
-1851  2  9     0.4     0.4     0.4 1
-1851  2 10     0.1     0.1     0.1 1
-1851  2 11     4.0     4.0     4.0 1
-1851  2 12     0.4     0.4     0.4 1
-1851  2 13    -3.1    -3.1    -3.1 1
-1851  2 14    -3.0    -3.0    -3.0 1
-1851  2 15     0.4     0.4     0.4 1
-1851  2 16     3.5     3.5     3.5 1
-1851  2 17     1.4     1.4     1.4 1
-1851  2 18     2.4     2.4     2.4 1
-1851  2 19     4.6     4.6     4.6 1
-1851  2 20     1.5     1.5     1.5 1
-1851  2 21    -6.7    -6.7    -6.7 1
-1851  2 22    -8.2    -8.2    -8.2 1
-1851  2 23    -3.8    -3.8    -3.8 1
-1851  2 24    -3.2    -3.2    -3.2 1
-1851  2 25    -7.8    -7.8    -7.8 1
-1851  2 26    -5.4    -5.4    -5.4 1
-1851  2 27    -7.7    -7.7    -7.7 1
-1851  2 28   -10.9   -10.9   -10.9 1
-1851  3  1   -10.3   -10.3   -10.3 1
-1851  3  2   -12.8   -12.8   -12.8 1
-1851  3  3    -6.3    -6.3    -6.3 1
-1851  3  4   -11.4   -11.4   -11.4 1
-1851  3  5    -4.7    -4.7    -4.7 1
-1851  3  6    -5.9    -5.9    -5.9 1
-1851  3  7    -7.4    -7.4    -7.4 1
-1851  3  8    -6.2    -6.2    -6.2 1
-1851  3  9    -3.9    -3.9    -3.9 1
-1851  3 10    -1.8    -1.8    -1.8 1
-1851  3 11    -2.2    -2.2    -2.2 1
-1851  3 12     0.2     0.2     0.2 1
-1851  3 13    -1.6    -1.6    -1.6 1
-1851  3 14     0.0     0.0     0.0 1
-1851  3 15     0.3     0.3     0.3 1
-1851  3 16     0.0     0.0     0.0 1
-1851  3 17    -1.1    -1.1    -1.1 1
-1851  3 18    -0.6    -0.6    -0.6 1
-1851  3 19    -1.3    -1.3    -1.3 1
-1851  3 20    -2.4    -2.4    -2.4 1
-1851  3 21    -4.0    -4.0    -4.0 1
-1851  3 22    -2.6    -2.6    -2.6 1
-1851  3 23    -2.5    -2.5    -2.5 1
-1851  3 24    -5.0    -5.0    -5.0 1
-1851  3 25    -3.8    -3.8    -3.8 1
-1851  3 26    -4.5    -4.5    -4.5 1
-1851  3 27    -3.6    -3.6    -3.6 1
-1851  3 28    -0.7    -0.7    -0.7 1
-1851  3 29     1.7     1.7     1.7 1
-1851  3 30    -0.7    -0.7    -0.7 1
-1851  3 31    -1.4    -1.4    -1.4 1
-1851  4  1    -0.2    -0.2    -0.2 1
-1851  4  2    -1.5    -1.5    -1.5 1
-1851  4  3    -1.1    -1.1    -1.1 1
-1851  4  4    -0.8    -0.8    -0.8 1
-1851  4  5     0.5     0.5     0.5 1
-1851  4  6     1.6     1.6     1.6 1
-1851  4  7     2.0     2.0     2.0 1
-1851  4  8     1.5     1.5     1.5 1
-1851  4  9     3.4     3.4     3.4 1
-1851  4 10     5.3     5.3     5.3 1
-1851  4 11     6.5     6.5     6.5 1
-1851  4 12     6.6     6.6     6.6 1
-1851  4 13     3.7     3.7     3.7 1
-1851  4 14     6.6     6.6     6.6 1
-1851  4 15     7.4     7.4     7.4 1
-1851  4 16     6.5     6.5     6.5 1
-1851  4 17     5.1     5.1     5.1 1
-1851  4 18     5.5     5.5     5.5 1
-1851  4 19     8.3     8.3     8.3 1
-1851  4 20     4.7     4.7     4.7 1
-1851  4 21     6.5     6.5     6.5 1
-1851  4 22     4.8     4.8     4.8 1
-1851  4 23     2.4     2.4     2.4 1
-1851  4 24     4.4     4.4     4.4 1
-1851  4 25     3.5     3.5     3.5 1
-1851  4 26     4.1     4.1     4.1 1
-1851  4 27     4.2     4.2     4.2 1
-1851  4 28     7.8     7.8     7.8 1
-1851  4 29     6.4     6.4     6.4 1
-1851  4 30     4.4     4.4     4.4 1
-1851  5  1     2.4     2.4     2.4 1
-1851  5  2     1.3     1.3     1.3 1
-1851  5  3     4.1     4.1     4.1 1
-1851  5  4     3.6     3.6     3.6 1
-1851  5  5     4.1     4.1     4.0 1
-1851  5  6     3.8     3.8     3.7 1
-1851  5  7     6.6     6.6     6.5 1
-1851  5  8     5.4     5.4     5.3 1
-1851  5  9     6.5     6.5     6.4 1
-1851  5 10     2.5     2.5     2.3 1
-1851  5 11     4.0     4.0     3.8 1
-1851  5 12     5.6     5.6     5.4 1
-1851  5 13     4.8     4.8     4.6 1
-1851  5 14     6.7     6.7     6.4 1
-1851  5 15    10.0    10.0     9.7 1
-1851  5 16     9.9     9.9     9.6 1
-1851  5 17    11.0    11.0    10.7 1
-1851  5 18     9.3     9.3     9.0 1
-1851  5 19    10.6    10.6    10.2 1
-1851  5 20    10.7    10.7    10.3 1
-1851  5 21    10.7    10.7    10.3 1
-1851  5 22    10.4    10.4    10.0 1
-1851  5 23    12.7    12.7    12.2 1
-1851  5 24    10.1    10.1     9.6 1
-1851  5 25    10.6    10.6    10.1 1
-1851  5 26     6.5     6.5     6.0 1
-1851  5 27     9.7     9.7     9.2 1
-1851  5 28    11.7    11.7    11.1 1
-1851  5 29     8.8     8.8     8.2 1
-1851  5 30    12.7    12.7    12.1 1
-1851  5 31     9.3     9.3     8.7 1
-1851  6  1    13.4    13.4    12.7 1
-1851  6  2    15.4    15.4    14.7 1
-1851  6  3    13.7    13.7    13.0 1
-1851  6  4    16.3    16.3    15.6 1
-1851  6  5    14.6    14.6    13.9 1
-1851  6  6    11.4    11.4    10.7 1
-1851  6  7    16.0    16.0    15.3 1
-1851  6  8    13.6    13.6    12.9 1
-1851  6  9    13.0    13.0    12.3 1
-1851  6 10    12.7    12.7    12.0 1
-1851  6 11    12.4    12.4    11.7 1
-1851  6 12    12.2    12.2    11.5 1
-1851  6 13    14.4    14.4    13.7 1
-1851  6 14    13.9    13.9    13.2 1
-1851  6 15    14.3    14.3    13.6 1
-1851  6 16    13.1    13.1    12.4 1
-1851  6 17    14.2    14.2    13.5 1
-1851  6 18    12.3    12.3    11.6 1
-1851  6 19    12.3    12.3    11.6 1
-1851  6 20    13.5    13.5    12.8 1
-1851  6 21    12.2    12.2    11.5 1
-1851  6 22    16.4    16.4    15.7 1
-1851  6 23    16.4    16.4    15.7 1
-1851  6 24    13.9    13.9    13.2 1
-1851  6 25    11.7    11.7    11.0 1
-1851  6 26    13.9    13.9    13.2 1
-1851  6 27    17.8    17.8    17.1 1
-1851  6 28    17.8    17.8    17.1 1
-1851  6 29    18.3    18.3    17.6 1
-1851  6 30    19.4    19.4    18.7 1
-1851  7  1    22.8    22.8    22.1 1
-1851  7  2    21.9    21.9    21.2 1
-1851  7  3    15.2    15.2    14.5 1
-1851  7  4    16.4    16.4    15.7 1
-1851  7  5    17.5    17.5    16.8 1
-1851  7  6    11.6    11.6    10.9 1
-1851  7  7    12.0    12.0    11.3 1
-1851  7  8    14.9    14.9    14.2 1
-1851  7  9    13.7    13.7    13.0 1
-1851  7 10    12.0    12.0    11.3 1
-1851  7 11    14.7    14.7    14.0 1
-1851  7 12    16.0    16.0    15.3 1
-1851  7 13    17.2    17.2    16.5 1
-1851  7 14    17.9    17.9    17.2 1
-1851  7 15    17.5    17.5    16.8 1
-1851  7 16    16.9    16.9    16.2 1
-1851  7 17    16.3    16.3    15.6 1
-1851  7 18    18.3    18.3    17.6 1
-1851  7 19    14.1    14.1    13.4 1
-1851  7 20    16.2    16.2    15.5 1
-1851  7 21    17.1    17.1    16.4 1
-1851  7 22    17.4    17.4    16.7 1
-1851  7 23    17.3    17.3    16.6 1
-1851  7 24    17.7    17.7    17.0 1
-1851  7 25    14.7    14.7    14.0 1
-1851  7 26    17.4    17.4    16.7 1
-1851  7 27    17.2    17.2    16.5 1
-1851  7 28    16.7    16.7    16.0 1
-1851  7 29    19.3    19.3    18.6 1
-1851  7 30    18.7    18.7    18.0 1
-1851  7 31    19.6    19.6    18.9 1
-1851  8  1    20.2    20.2    19.6 1
-1851  8  2    18.6    18.6    18.0 1
-1851  8  3    18.9    18.9    18.3 1
-1851  8  4    18.1    18.1    17.5 1
-1851  8  5    14.7    14.7    14.2 1
-1851  8  6    13.4    13.4    12.9 1
-1851  8  7    17.6    17.6    17.1 1
-1851  8  8    18.7    18.7    18.2 1
-1851  8  9    16.4    16.4    15.9 1
-1851  8 10    13.5    13.5    13.1 1
-1851  8 11    11.6    11.6    11.2 1
-1851  8 12    13.2    13.2    12.8 1
-1851  8 13    14.8    14.8    14.4 1
-1851  8 14    15.7    15.7    15.4 1
-1851  8 15    16.7    16.7    16.4 1
-1851  8 16    16.5    16.5    16.2 1
-1851  8 17    13.6    13.6    13.3 1
-1851  8 18     9.8     9.8     9.5 1
-1851  8 19    12.7    12.7    12.5 1
-1851  8 20    14.0    14.0    13.8 1
-1851  8 21    16.4    16.4    16.2 1
-1851  8 22    16.5    16.5    16.3 1
-1851  8 23    18.3    18.3    18.2 1
-1851  8 24    16.4    16.4    16.3 1
-1851  8 25    15.4    15.4    15.3 1
-1851  8 26    13.5    13.5    13.4 1
-1851  8 27    12.8    12.8    12.7 1
-1851  8 28    14.2    14.2    14.2 1
-1851  8 29    13.3    13.3    13.3 1
-1851  8 30    12.4    12.4    12.4 1
-1851  8 31    12.9    12.9    12.9 1
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-1851  9  3    15.2    15.2    15.2 1
-1851  9  4    18.0    18.0    18.0 1
-1851  9  5    17.3    17.3    17.3 1
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-1851  9  7     7.6     7.6     7.6 1
-1851  9  8     7.3     7.3     7.3 1
-1851  9  9    11.2    11.2    11.2 1
-1851  9 10    10.3    10.3    10.3 1
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-1851  9 12     8.3     8.3     8.3 1
-1851  9 13     8.8     8.8     8.8 1
-1851  9 14    10.1    10.1    10.1 1
-1851  9 15    11.3    11.3    11.3 1
-1851  9 16     9.9     9.9     9.9 1
-1851  9 17    12.9    12.9    12.9 1
-1851  9 18    12.5    12.5    12.5 1
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-1851  9 20    12.3    12.3    12.3 1
-1851  9 21    10.7    10.7    10.7 1
-1851  9 22    11.0    11.0    11.0 1
-1851  9 23    11.4    11.4    11.4 1
-1851  9 24    12.5    12.5    12.5 1
-1851  9 25    11.1    11.1    11.1 1
-1851  9 26    13.7    13.7    13.7 1
-1851  9 27    13.3    13.3    13.3 1
-1851  9 28     8.3     8.3     8.3 1
-1851  9 29    10.2    10.2    10.2 1
-1851  9 30    11.3    11.3    11.3 1
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-1851 10  7    11.1    11.1    11.1 1
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-1851 10 11     8.7     8.7     8.7 1
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-1851 10 14    10.7    10.7    10.7 1
-1851 10 15     8.7     8.7     8.7 1
-1851 10 16    11.2    11.2    11.2 1
-1851 10 17     8.3     8.3     8.3 1
-1851 10 18     8.3     8.3     8.3 1
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-1851 10 21     6.3     6.3     6.3 1
-1851 10 22     8.8     8.8     8.8 1
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-1851 10 24     7.5     7.5     7.5 1
-1851 10 25     3.2     3.2     3.2 1
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-1852  1 24     1.6     1.6     1.6 1
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-1852  2 11   -14.2   -14.2   -14.2 1
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-1852  2 13    -4.4    -4.4    -4.4 1
-1852  2 14    -1.5    -1.5    -1.5 1
-1852  2 15     1.1     1.1     1.1 1
-1852  2 16     1.7     1.7     1.7 1
-1852  2 17    -2.3    -2.3    -2.3 1
-1852  2 18    -4.3    -4.3    -4.3 1
-1852  2 19    -4.5    -4.5    -4.5 1
-1852  2 20    -6.9    -6.9    -6.9 1
-1852  2 21    -4.3    -4.3    -4.3 1
-1852  2 22    -5.6    -5.6    -5.6 1
-1852  2 23    -7.0    -7.0    -7.0 1
-1852  2 24    -3.9    -3.9    -3.9 1
-1852  2 25    -1.3    -1.3    -1.3 1
-1852  2 26    -3.3    -3.3    -3.3 1
-1852  2 27    -3.5    -3.5    -3.5 1
-1852  2 28    -5.6    -5.6    -5.6 1
-1852  2 29    -4.8    -4.8    -4.8 1
-1852  3  1    -7.1    -7.1    -7.1 1
-1852  3  2    -6.3    -6.3    -6.3 1
-1852  3  3    -7.8    -7.8    -7.8 1
-1852  3  4    -6.1    -6.1    -6.1 1
-1852  3  5    -3.2    -3.2    -3.2 1
-1852  3  6     3.5     3.5     3.5 1
-1852  3  7     5.0     5.0     5.0 1
-1852  3  8     3.6     3.6     3.6 1
-1852  3  9     0.2     0.2     0.2 1
-1852  3 10    -2.8    -2.8    -2.8 1
-1852  3 11    -3.4    -3.4    -3.4 1
-1852  3 12    -3.7    -3.7    -3.7 1
-1852  3 13    -2.3    -2.3    -2.3 1
-1852  3 14     1.7     1.7     1.7 1
-1852  3 15     1.3     1.3     1.3 1
-1852  3 16     2.1     2.1     2.1 1
-1852  3 17    -0.9    -0.9    -0.9 1
-1852  3 18     0.7     0.7     0.7 1
-1852  3 19     1.4     1.4     1.4 1
-1852  3 20     2.1     2.1     2.1 1
-1852  3 21     2.0     2.0     2.0 1
-1852  3 22     3.6     3.6     3.6 1
-1852  3 23     0.2     0.2     0.2 1
-1852  3 24    -4.2    -4.2    -4.2 1
-1852  3 25    -5.4    -5.4    -5.4 1
-1852  3 26    -4.8    -4.8    -4.8 1
-1852  3 27    -5.9    -5.9    -5.9 1
-1852  3 28    -2.0    -2.0    -2.0 1
-1852  3 29    -2.2    -2.2    -2.2 1
-1852  3 30    -0.1    -0.1    -0.1 1
-1852  3 31     0.6     0.6     0.6 1
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-1852  4  2    -0.9    -0.9    -0.9 1
-1852  4  3    -2.3    -2.3    -2.3 1
-1852  4  4     1.1     1.1     1.1 1
-1852  4  5     4.7     4.7     4.7 1
-1852  4  6     7.1     7.1     7.1 1
-1852  4  7     5.4     5.4     5.4 1
-1852  4  8     0.8     0.8     0.8 1
-1852  4  9     0.8     0.8     0.8 1
-1852  4 10    -0.8    -0.8    -0.8 1
-1852  4 11    -2.5    -2.5    -2.5 1
-1852  4 12     1.8     1.8     1.8 1
-1852  4 13     1.8     1.8     1.8 1
-1852  4 14     0.2     0.2     0.2 1
-1852  4 15    -2.5    -2.5    -2.5 1
-1852  4 16    -4.9    -4.9    -4.9 1
-1852  4 17    -4.1    -4.1    -4.1 1
-1852  4 18    -3.5    -3.5    -3.5 1
-1852  4 19    -3.2    -3.2    -3.2 1
-1852  4 20     0.1     0.1     0.1 1
-1852  4 21     1.1     1.1     1.1 1
-1852  4 22     1.4     1.4     1.4 1
-1852  4 23     2.2     2.2     2.2 1
-1852  4 24     4.2     4.2     4.2 1
-1852  4 25     5.7     5.7     5.7 1
-1852  4 26     1.1     1.1     1.1 1
-1852  4 27     1.2     1.2     1.2 1
-1852  4 28     1.5     1.5     1.5 1
-1852  4 29     1.2     1.2     1.2 1
-1852  4 30     2.0     2.0     2.0 1
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-1852  5  4     5.9     5.9     5.9 1
-1852  5  5     6.9     6.9     6.8 1
-1852  5  6     6.3     6.3     6.2 1
-1852  5  7     7.5     7.5     7.4 1
-1852  5  8     4.2     4.2     4.1 1
-1852  5  9     7.8     7.8     7.7 1
-1852  5 10    12.1    12.1    11.9 1
-1852  5 11    13.4    13.4    13.2 1
-1852  5 12    11.2    11.2    11.0 1
-1852  5 13    12.7    12.7    12.5 1
-1852  5 14    12.4    12.4    12.1 1
-1852  5 15    10.6    10.6    10.3 1
-1852  5 16    11.2    11.2    10.9 1
-1852  5 17    14.7    14.7    14.4 1
-1852  5 18    14.3    14.3    14.0 1
-1852  5 19    15.0    15.0    14.6 1
-1852  5 20    17.8    17.8    17.4 1
-1852  5 21    12.2    12.2    11.8 1
-1852  5 22    13.8    13.8    13.4 1
-1852  5 23    13.1    13.1    12.6 1
-1852  5 24    14.4    14.4    13.9 1
-1852  5 25    15.5    15.5    15.0 1
-1852  5 26    14.6    14.6    14.1 1
-1852  5 27    11.4    11.4    10.9 1
-1852  5 28    11.1    11.1    10.5 1
-1852  5 29    13.0    13.0    12.4 1
-1852  5 30    15.9    15.9    15.3 1
-1852  5 31    13.7    13.7    13.1 1
-1852  6  1    13.8    13.8    13.1 1
-1852  6  2    15.2    15.2    14.5 1
-1852  6  3    15.2    15.2    14.5 1
-1852  6  4    15.7    15.7    15.0 1
-1852  6  5    17.9    17.9    17.2 1
-1852  6  6    16.9    16.9    16.2 1
-1852  6  7    15.3    15.3    14.6 1
-1852  6  8    16.5    16.5    15.8 1
-1852  6  9    19.4    19.4    18.7 1
-1852  6 10    15.6    15.6    14.9 1
-1852  6 11    11.8    11.8    11.1 1
-1852  6 12    13.8    13.8    13.1 1
-1852  6 13    12.8    12.8    12.1 1
-1852  6 14    14.1    14.1    13.4 1
-1852  6 15    16.0    16.0    15.3 1
-1852  6 16    11.7    11.7    11.0 1
-1852  6 17    16.4    16.4    15.7 1
-1852  6 18    15.9    15.9    15.2 1
-1852  6 19    18.0    18.0    17.3 1
-1852  6 20    19.7    19.7    19.0 1
-1852  6 21    17.7    17.7    17.0 1
-1852  6 22    17.7    17.7    17.0 1
-1852  6 23    16.4    16.4    15.7 1
-1852  6 24    17.9    17.9    17.2 1
-1852  6 25    16.3    16.3    15.6 1
-1852  6 26    16.4    16.4    15.7 1
-1852  6 27    17.0    17.0    16.3 1
-1852  6 28    17.2    17.2    16.5 1
-1852  6 29    15.0    15.0    14.3 1
-1852  6 30    17.0    17.0    16.3 1
-1852  7  1    17.5    17.5    16.8 1
-1852  7  2    18.6    18.6    17.9 1
-1852  7  3    17.1    17.1    16.4 1
-1852  7  4    16.3    16.3    15.6 1
-1852  7  5    18.5    18.5    17.8 1
-1852  7  6    20.2    20.2    19.5 1
-1852  7  7    23.9    23.9    23.2 1
-1852  7  8    24.5    24.5    23.8 1
-1852  7  9    25.3    25.3    24.6 1
-1852  7 10    26.5    26.5    25.8 1
-1852  7 11    25.4    25.4    24.7 1
-1852  7 12    19.2    19.2    18.5 1
-1852  7 13    17.5    17.5    16.8 1
-1852  7 14    18.0    18.0    17.3 1
-1852  7 15    20.2    20.2    19.5 1
-1852  7 16    17.7    17.7    17.0 1
-1852  7 17    20.6    20.6    19.9 1
-1852  7 18    15.5    15.5    14.8 1
-1852  7 19    15.4    15.4    14.7 1
-1852  7 20    18.0    18.0    17.3 1
-1852  7 21    20.9    20.9    20.2 1
-1852  7 22    21.3    21.3    20.6 1
-1852  7 23    17.3    17.3    16.6 1
-1852  7 24    20.1    20.1    19.4 1
-1852  7 25    19.2    19.2    18.5 1
-1852  7 26    18.1    18.1    17.4 1
-1852  7 27    19.5    19.5    18.8 1
-1852  7 28    21.1    21.1    20.4 1
-1852  7 29    21.1    21.1    20.4 1
-1852  7 30    22.1    22.1    21.4 1
-1852  7 31    15.9    15.9    15.2 1
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-1852  8  2    16.3    16.3    15.7 1
-1852  8  3    17.5    17.5    16.9 1
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-1852  8  5    19.0    19.0    18.5 1
-1852  8  6    20.5    20.5    20.0 1
-1852  8  7    19.4    19.4    18.9 1
-1852  8  8    19.5    19.5    19.0 1
-1852  8  9    20.5    20.5    20.0 1
-1852  8 10    18.0    18.0    17.6 1
-1852  8 11    18.3    18.3    17.9 1
-1852  8 12    20.0    20.0    19.6 1
-1852  8 13    18.7    18.7    18.3 1
-1852  8 14    18.8    18.8    18.5 1
-1852  8 15    18.0    18.0    17.7 1
-1852  8 16    17.1    17.1    16.8 1
-1852  8 17    19.0    19.0    18.7 1
-1852  8 18    19.7    19.7    19.4 1
-1852  8 19    19.3    19.3    19.1 1
-1852  8 20    18.9    18.9    18.7 1
-1852  8 21    19.3    19.3    19.1 1
-1852  8 22    17.6    17.6    17.4 1
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-1852  8 24    15.0    15.0    14.9 1
-1852  8 25    14.1    14.1    14.0 1
-1852  8 26    14.4    14.4    14.3 1
-1852  8 27    16.6    16.6    16.5 1
-1852  8 28    17.1    17.1    17.1 1
-1852  8 29    16.9    16.9    16.9 1
-1852  8 30    18.1    18.1    18.1 1
-1852  8 31    16.9    16.9    16.9 1
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-1852  9  8    15.9    15.9    15.9 1
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-1852  9 28     6.6     6.6     6.6 1
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-1853  2 16    -9.1    -9.1    -9.1 1
-1853  2 17   -10.7   -10.7   -10.7 1
-1853  2 18   -11.8   -11.8   -11.8 1
-1853  2 19    -5.0    -5.0    -5.0 1
-1853  2 20    -7.8    -7.8    -7.8 1
-1853  2 21    -9.6    -9.6    -9.6 1
-1853  2 22    -7.9    -7.9    -7.9 1
-1853  2 23    -4.7    -4.7    -4.7 1
-1853  2 24    -6.3    -6.3    -6.3 1
-1853  2 25    -4.2    -4.2    -4.2 1
-1853  2 26    -8.9    -8.9    -8.9 1
-1853  2 27   -10.6   -10.6   -10.6 1
-1853  2 28   -10.2   -10.2   -10.2 1
-1853  3  1   -11.1   -11.1   -11.1 1
-1853  3  2   -12.8   -12.8   -12.8 1
-1853  3  3    -2.5    -2.5    -2.5 1
-1853  3  4    -3.2    -3.2    -3.2 1
-1853  3  5    -7.1    -7.1    -7.1 1
-1853  3  6    -9.4    -9.4    -9.4 1
-1853  3  7    -3.6    -3.6    -3.6 1
-1853  3  8    -2.6    -2.6    -2.6 1
-1853  3  9    -5.8    -5.8    -5.8 1
-1853  3 10     1.4     1.4     1.4 1
-1853  3 11     1.7     1.7     1.7 1
-1853  3 12    -1.4    -1.4    -1.4 1
-1853  3 13    -5.9    -5.9    -5.9 1
-1853  3 14   -16.9   -16.9   -16.9 1
-1853  3 15   -18.1   -18.1   -18.1 1
-1853  3 16   -18.5   -18.5   -18.5 1
-1853  3 17   -17.0   -17.0   -17.0 1
-1853  3 18   -12.7   -12.7   -12.7 1
-1853  3 19    -8.2    -8.2    -8.2 1
-1853  3 20    -5.3    -5.3    -5.3 1
-1853  3 21    -4.2    -4.2    -4.2 1
-1853  3 22    -7.2    -7.2    -7.2 1
-1853  3 23   -10.9   -10.9   -10.9 1
-1853  3 24   -13.2   -13.2   -13.2 1
-1853  3 25   -15.2   -15.2   -15.2 1
-1853  3 26   -10.1   -10.1   -10.1 1
-1853  3 27    -6.6    -6.6    -6.6 1
-1853  3 28    -1.4    -1.4    -1.4 1
-1853  3 29     0.6     0.6     0.6 1
-1853  3 30     1.9     1.9     1.9 1
-1853  3 31    -3.4    -3.4    -3.4 1
-1853  4  1    -0.5    -0.5    -0.5 1
-1853  4  2    -3.0    -3.0    -3.0 1
-1853  4  3    -3.3    -3.3    -3.3 1
-1853  4  4    -4.2    -4.2    -4.2 1
-1853  4  5    -1.6    -1.6    -1.6 1
-1853  4  6     1.1     1.1     1.1 1
-1853  4  7     3.4     3.4     3.4 1
-1853  4  8     4.0     4.0     4.0 1
-1853  4  9     0.2     0.2     0.2 1
-1853  4 10    -2.4    -2.4    -2.4 1
-1853  4 11    -4.6    -4.6    -4.6 1
-1853  4 12    -4.9    -4.9    -4.9 1
-1853  4 13    -5.9    -5.9    -5.9 1
-1853  4 14    -4.4    -4.4    -4.4 1
-1853  4 15    -2.1    -2.1    -2.1 1
-1853  4 16    -0.6    -0.6    -0.6 1
-1853  4 17     0.7     0.7     0.7 1
-1853  4 18    -0.1    -0.1    -0.1 1
-1853  4 19    -0.5    -0.5    -0.5 1
-1853  4 20     0.7     0.7     0.7 1
-1853  4 21     1.4     1.4     1.4 1
-1853  4 22     3.0     3.0     3.0 1
-1853  4 23     2.7     2.7     2.7 1
-1853  4 24     2.0     2.0     2.0 1
-1853  4 25     2.6     2.6     2.6 1
-1853  4 26     1.1     1.1     1.1 1
-1853  4 27     5.1     5.1     5.1 1
-1853  4 28     6.8     6.8     6.8 1
-1853  4 29     4.9     4.9     4.9 1
-1853  4 30     4.8     4.8     4.8 1
-1853  5  1     7.9     7.9     7.9 1
-1853  5  2     7.2     7.2     7.2 1
-1853  5  3     5.5     5.5     5.5 1
-1853  5  4     6.4     6.4     6.4 1
-1853  5  5     6.2     6.2     6.1 1
-1853  5  6     5.2     5.2     5.1 1
-1853  5  7     2.3     2.3     2.2 1
-1853  5  8     3.4     3.4     3.3 1
-1853  5  9     3.5     3.5     3.4 1
-1853  5 10     7.1     7.1     6.9 1
-1853  5 11     6.7     6.7     6.5 1
-1853  5 12     6.0     6.0     5.8 1
-1853  5 13     6.7     6.7     6.5 1
-1853  5 14     6.4     6.4     6.1 1
-1853  5 15     7.6     7.6     7.3 1
-1853  5 16     8.8     8.8     8.5 1
-1853  5 17     7.2     7.2     6.9 1
-1853  5 18     9.8     9.8     9.5 1
-1853  5 19     7.6     7.6     7.2 1
-1853  5 20     9.7     9.7     9.3 1
-1853  5 21    11.0    11.0    10.6 1
-1853  5 22    12.0    12.0    11.6 1
-1853  5 23    12.3    12.3    11.8 1
-1853  5 24    16.2    16.2    15.7 1
-1853  5 25    18.6    18.6    18.1 1
-1853  5 26    16.4    16.4    15.9 1
-1853  5 27    16.3    16.3    15.8 1
-1853  5 28    19.9    19.9    19.3 1
-1853  5 29    19.6    19.6    19.0 1
-1853  5 30    19.6    19.6    19.0 1
-1853  5 31    17.9    17.9    17.3 1
-1853  6  1    13.5    13.5    12.8 1
-1853  6  2    15.4    15.4    14.7 1
-1853  6  3    16.5    16.5    15.8 1
-1853  6  4    17.8    17.8    17.1 1
-1853  6  5    15.2    15.2    14.5 1
-1853  6  6    14.3    14.3    13.6 1
-1853  6  7    11.4    11.4    10.7 1
-1853  6  8    13.8    13.8    13.1 1
-1853  6  9    17.6    17.6    16.9 1
-1853  6 10    17.8    17.8    17.1 1
-1853  6 11    13.4    13.4    12.7 1
-1853  6 12    16.0    16.0    15.3 1
-1853  6 13    18.2    18.2    17.5 1
-1853  6 14    16.6    16.6    15.9 1
-1853  6 15    16.3    16.3    15.6 1
-1853  6 16    17.6    17.6    16.9 1
-1853  6 17    17.0    17.0    16.3 1
-1853  6 18    19.2    19.2    18.5 1
-1853  6 19    21.8    21.8    21.1 1
-1853  6 20    18.3    18.3    17.6 1
-1853  6 21    19.4    19.4    18.7 1
-1853  6 22    20.9    20.9    20.2 1
-1853  6 23    20.2    20.2    19.5 1
-1853  6 24    17.8    17.8    17.1 1
-1853  6 25    18.9    18.9    18.2 1
-1853  6 26    16.4    16.4    15.7 1
-1853  6 27    12.9    12.9    12.2 1
-1853  6 28    17.9    17.9    17.2 1
-1853  6 29    17.7    17.7    17.0 1
-1853  6 30    17.9    17.9    17.2 1
-1853  7  1    18.6    18.6    17.9 1
-1853  7  2    16.9    16.9    16.2 1
-1853  7  3    17.3    17.3    16.6 1
-1853  7  4    18.9    18.9    18.2 1
-1853  7  5    20.2    20.2    19.5 1
-1853  7  6    18.4    18.4    17.7 1
-1853  7  7    19.8    19.8    19.1 1
-1853  7  8    17.9    17.9    17.2 1
-1853  7  9    15.1    15.1    14.4 1
-1853  7 10    16.2    16.2    15.5 1
-1853  7 11    17.8    17.8    17.1 1
-1853  7 12    20.7    20.7    20.0 1
-1853  7 13    19.8    19.8    19.1 1
-1853  7 14    18.4    18.4    17.7 1
-1853  7 15    19.1    19.1    18.4 1
-1853  7 16    18.5    18.5    17.8 1
-1853  7 17    20.3    20.3    19.6 1
-1853  7 18    18.0    18.0    17.3 1
-1853  7 19    18.9    18.9    18.2 1
-1853  7 20    17.8    17.8    17.1 1
-1853  7 21    18.0    18.0    17.3 1
-1853  7 22    19.7    19.7    19.0 1
-1853  7 23    21.7    21.7    21.0 1
-1853  7 24    22.4    22.4    21.7 1
-1853  7 25    22.2    22.2    21.5 1
-1853  7 26    21.2    21.2    20.5 1
-1853  7 27    18.3    18.3    17.6 1
-1853  7 28    19.4    19.4    18.7 1
-1853  7 29    19.6    19.6    18.9 1
-1853  7 30    17.8    17.8    17.1 1
-1853  7 31    16.2    16.2    15.5 1
-1853  8  1    15.0    15.0    14.4 1
-1853  8  2    15.1    15.1    14.5 1
-1853  8  3    14.8    14.8    14.2 1
-1853  8  4    16.1    16.1    15.5 1
-1853  8  5    14.8    14.8    14.3 1
-1853  8  6    13.7    13.7    13.2 1
-1853  8  7    15.8    15.8    15.3 1
-1853  8  8    16.0    16.0    15.5 1
-1853  8  9    16.2    16.2    15.7 1
-1853  8 10    17.5    17.5    17.1 1
-1853  8 11    16.3    16.3    15.9 1
-1853  8 12    18.4    18.4    18.0 1
-1853  8 13    13.9    13.9    13.5 1
-1853  8 14    15.6    15.6    15.3 1
-1853  8 15    12.8    12.8    12.5 1
-1853  8 16    12.8    12.8    12.5 1
-1853  8 17    14.6    14.6    14.3 1
-1853  8 18    15.6    15.6    15.3 1
-1853  8 19    13.3    13.3    13.1 1
-1853  8 20    14.5    14.5    14.3 1
-1853  8 21    16.1    16.1    15.9 1
-1853  8 22    17.2    17.2    17.0 1
-1853  8 23    17.0    17.0    16.9 1
-1853  8 24    14.5    14.5    14.4 1
-1853  8 25    15.5    15.5    15.4 1
-1853  8 26    16.2    16.2    16.1 1
-1853  8 27    15.1    15.1    15.0 1
-1853  8 28    15.3    15.3    15.3 1
-1853  8 29    16.4    16.4    16.4 1
-1853  8 30    15.4    15.4    15.4 1
-1853  8 31    12.8    12.8    12.8 1
-1853  9  1    13.0    13.0    13.0 1
-1853  9  2    14.1    14.1    14.1 1
-1853  9  3    13.4    13.4    13.4 1
-1853  9  4    11.0    11.0    11.0 1
-1853  9  5    12.3    12.3    12.3 1
-1853  9  6    13.9    13.9    13.9 1
-1853  9  7    13.1    13.1    13.1 1
-1853  9  8    12.5    12.5    12.5 1
-1853  9  9    13.0    13.0    13.0 1
-1853  9 10    14.3    14.3    14.3 1
-1853  9 11    13.0    13.0    13.0 1
-1853  9 12    14.2    14.2    14.2 1
-1853  9 13    15.0    15.0    15.0 1
-1853  9 14    13.2    13.2    13.2 1
-1853  9 15    13.4    13.4    13.4 1
-1853  9 16    11.7    11.7    11.7 1
-1853  9 17    12.2    12.2    12.2 1
-1853  9 18    13.3    13.3    13.3 1
-1853  9 19    11.5    11.5    11.5 1
-1853  9 20    14.7    14.7    14.7 1
-1853  9 21    12.9    12.9    12.9 1
-1853  9 22    13.5    13.5    13.5 1
-1853  9 23    14.8    14.8    14.8 1
-1853  9 24    12.6    12.6    12.6 1
-1853  9 25    10.5    10.5    10.5 1
-1853  9 26    10.7    10.7    10.7 1
-1853  9 27    10.0    10.0    10.0 1
-1853  9 28     8.7     8.7     8.7 1
-1853  9 29    11.0    11.0    11.0 1
-1853  9 30     6.6     6.6     6.6 1
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-1853 10  5     8.6     8.6     8.6 1
-1853 10  6     8.1     8.1     8.1 1
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-1853 10  8     7.7     7.7     7.7 1
-1853 10  9     7.7     7.7     7.7 1
-1853 10 10     7.0     7.0     7.0 1
-1853 10 11     7.0     7.0     7.0 1
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-1853 10 13     3.2     3.2     3.2 1
-1853 10 14     1.5     1.5     1.5 1
-1853 10 15     5.8     5.8     5.8 1
-1853 10 16     8.9     8.9     8.9 1
-1853 10 17     7.8     7.8     7.8 1
-1853 10 18     8.0     8.0     8.0 1
-1853 10 19     6.1     6.1     6.1 1
-1853 10 20     3.2     3.2     3.2 1
-1853 10 21     4.1     4.1     4.1 1
-1853 10 22     7.5     7.5     7.5 1
-1853 10 23    11.0    11.0    11.0 1
-1853 10 24    11.4    11.4    11.4 1
-1853 10 25    10.4    10.4    10.4 1
-1853 10 26     8.9     8.9     8.9 1
-1853 10 27     9.1     9.1     9.1 1
-1853 10 28     7.7     7.7     7.7 1
-1853 10 29     8.8     8.8     8.8 1
-1853 10 30     9.4     9.4     9.4 1
-1853 10 31     3.6     3.6     3.6 1
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-1853 11 17     3.6     3.6     3.6 1
-1853 11 18     3.8     3.8     3.8 1
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-1853 11 29    -0.5    -0.5    -0.5 1
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-1854  1 17    -4.9    -4.9    -4.9 1
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-1854  1 19     0.9     0.9     0.9 1
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-1854  2 21    -1.4    -1.4    -1.4 1
-1854  2 22    -1.7    -1.7    -1.7 1
-1854  2 23    -1.0    -1.0    -1.0 1
-1854  2 24    -1.9    -1.9    -1.9 1
-1854  2 25     0.0     0.0     0.0 1
-1854  2 26    -1.1    -1.1    -1.1 1
-1854  2 27    -4.6    -4.6    -4.6 1
-1854  2 28     0.5     0.5     0.5 1
-1854  3  1     1.8     1.8     1.8 1
-1854  3  2     3.8     3.8     3.8 1
-1854  3  3     2.6     2.6     2.6 1
-1854  3  4     3.3     3.3     3.3 1
-1854  3  5     0.7     0.7     0.7 1
-1854  3  6    -5.2    -5.2    -5.2 1
-1854  3  7    -4.1    -4.1    -4.1 1
-1854  3  8     1.2     1.2     1.2 1
-1854  3  9     3.0     3.0     3.0 1
-1854  3 10     4.6     4.6     4.6 1
-1854  3 11     4.9     4.9     4.9 1
-1854  3 12     2.3     2.3     2.3 1
-1854  3 13     4.1     4.1     4.1 1
-1854  3 14     0.7     0.7     0.7 1
-1854  3 15     0.9     0.9     0.9 1
-1854  3 16    -0.2    -0.2    -0.2 1
-1854  3 17    -1.1    -1.1    -1.1 1
-1854  3 18    -1.3    -1.3    -1.3 1
-1854  3 19    -2.2    -2.2    -2.2 1
-1854  3 20    -0.6    -0.6    -0.6 1
-1854  3 21    -0.3    -0.3    -0.3 1
-1854  3 22     5.2     5.2     5.2 1
-1854  3 23     0.5     0.5     0.5 1
-1854  3 24    -1.9    -1.9    -1.9 1
-1854  3 25     0.1     0.1     0.1 1
-1854  3 26    -1.3    -1.3    -1.3 1
-1854  3 27     0.4     0.4     0.4 1
-1854  3 28     3.4     3.4     3.4 1
-1854  3 29     2.1     2.1     2.1 1
-1854  3 30     3.4     3.4     3.4 1
-1854  3 31     3.5     3.5     3.5 1
-1854  4  1     8.0     8.0     8.0 1
-1854  4  2     8.7     8.7     8.7 1
-1854  4  3     2.0     2.0     2.0 1
-1854  4  4     3.1     3.1     3.1 1
-1854  4  5     6.7     6.7     6.7 1
-1854  4  6     5.9     5.9     5.9 1
-1854  4  7     2.0     2.0     2.0 1
-1854  4  8     4.0     4.0     4.0 1
-1854  4  9     6.9     6.9     6.9 1
-1854  4 10     1.7     1.7     1.7 1
-1854  4 11     1.4     1.4     1.4 1
-1854  4 12     1.0     1.0     1.0 1
-1854  4 13     5.3     5.3     5.3 1
-1854  4 14     7.8     7.8     7.8 1
-1854  4 15     8.8     8.8     8.8 1
-1854  4 16     2.3     2.3     2.3 1
-1854  4 17     4.4     4.4     4.4 1
-1854  4 18     9.6     9.6     9.6 1
-1854  4 19    11.4    11.4    11.4 1
-1854  4 20    10.0    10.0    10.0 1
-1854  4 21    10.4    10.4    10.4 1
-1854  4 22     4.5     4.5     4.5 1
-1854  4 23    -0.6    -0.6    -0.6 1
-1854  4 24    -0.6    -0.6    -0.6 1
-1854  4 25     4.3     4.3     4.3 1
-1854  4 26     1.7     1.7     1.7 1
-1854  4 27     3.8     3.8     3.8 1
-1854  4 28     3.0     3.0     3.0 1
-1854  4 29     1.2     1.2     1.2 1
-1854  4 30     3.0     3.0     3.0 1
-1854  5  1     4.0     4.0     4.0 1
-1854  5  2     8.8     8.8     8.8 1
-1854  5  3     9.5     9.5     9.5 1
-1854  5  4     7.6     7.6     7.6 1
-1854  5  5     9.2     9.2     9.1 1
-1854  5  6     7.0     7.0     6.9 1
-1854  5  7     7.8     7.8     7.7 1
-1854  5  8     7.8     7.8     7.7 1
-1854  5  9    11.6    11.6    11.5 1
-1854  5 10    12.4    12.4    12.2 1
-1854  5 11    14.2    14.2    14.0 1
-1854  5 12    14.4    14.4    14.2 1
-1854  5 13    13.4    13.4    13.2 1
-1854  5 14    14.7    14.7    14.4 1
-1854  5 15    12.1    12.1    11.8 1
-1854  5 16     9.4     9.4     9.1 1
-1854  5 17     9.5     9.5     9.2 1
-1854  5 18    10.6    10.6    10.3 1
-1854  5 19    11.0    11.0    10.6 1
-1854  5 20    11.1    11.1    10.7 1
-1854  5 21    12.2    12.2    11.8 1
-1854  5 22    13.0    13.0    12.6 1
-1854  5 23    13.9    13.9    13.4 1
-1854  5 24    11.5    11.5    11.0 1
-1854  5 25    12.1    12.1    11.6 1
-1854  5 26    12.3    12.3    11.8 1
-1854  5 27    14.3    14.3    13.8 1
-1854  5 28    11.1    11.1    10.5 1
-1854  5 29    12.9    12.9    12.3 1
-1854  5 30    12.4    12.4    11.8 1
-1854  5 31    13.7    13.7    13.1 1
-1854  6  1    15.3    15.3    14.6 1
-1854  6  2    10.6    10.6     9.9 1
-1854  6  3     4.5     4.5     3.8 1
-1854  6  4     9.6     9.6     8.9 1
-1854  6  5     8.8     8.8     8.1 1
-1854  6  6     8.2     8.2     7.5 1
-1854  6  7     8.2     8.2     7.5 1
-1854  6  8    11.4    11.4    10.7 1
-1854  6  9    12.6    12.6    11.9 1
-1854  6 10    10.4    10.4     9.7 1
-1854  6 11    12.1    12.1    11.4 1
-1854  6 12    10.4    10.4     9.7 1
-1854  6 13    15.7    15.7    15.0 1
-1854  6 14    15.4    15.4    14.7 1
-1854  6 15    15.6    15.6    14.9 1
-1854  6 16    14.8    14.8    14.1 1
-1854  6 17    17.1    17.1    16.4 1
-1854  6 18    20.4    20.4    19.7 1
-1854  6 19    21.6    21.6    20.9 1
-1854  6 20    21.2    21.2    20.5 1
-1854  6 21    21.3    21.3    20.6 1
-1854  6 22    17.4    17.4    16.7 1
-1854  6 23    19.6    19.6    18.9 1
-1854  6 24    18.9    18.9    18.2 1
-1854  6 25    17.9    17.9    17.2 1
-1854  6 26    19.2    19.2    18.5 1
-1854  6 27    21.8    21.8    21.1 1
-1854  6 28    18.8    18.8    18.1 1
-1854  6 29    17.9    17.9    17.2 1
-1854  6 30    16.6    16.6    15.9 1
-1854  7  1    18.6    18.6    17.9 1
-1854  7  2    21.1    21.1    20.4 1
-1854  7  3    17.8    17.8    17.1 1
-1854  7  4    19.3    19.3    18.6 1
-1854  7  5    19.3    19.3    18.6 1
-1854  7  6    20.7    20.7    20.0 1
-1854  7  7    21.9    21.9    21.2 1
-1854  7  8    24.7    24.7    24.0 1
-1854  7  9    23.2    23.2    22.5 1
-1854  7 10    20.0    20.0    19.3 1
-1854  7 11    14.2    14.2    13.5 1
-1854  7 12    17.7    17.7    17.0 1
-1854  7 13    17.3    17.3    16.6 1
-1854  7 14    19.6    19.6    18.9 1
-1854  7 15    20.3    20.3    19.6 1
-1854  7 16    21.5    21.5    20.8 1
-1854  7 17    22.7    22.7    22.0 1
-1854  7 18    18.9    18.9    18.2 1
-1854  7 19    22.5    22.5    21.8 1
-1854  7 20    22.7    22.7    22.0 1
-1854  7 21    20.4    20.4    19.7 1
-1854  7 22    23.1    23.1    22.4 1
-1854  7 23    23.3    23.3    22.6 1
-1854  7 24    22.2    22.2    21.5 1
-1854  7 25    19.7    19.7    19.0 1
-1854  7 26    18.0    18.0    17.3 1
-1854  7 27    14.3    14.3    13.6 1
-1854  7 28    11.8    11.8    11.1 1
-1854  7 29    14.9    14.9    14.2 1
-1854  7 30    18.3    18.3    17.6 1
-1854  7 31    19.5    19.5    18.8 1
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-1854  8  2    19.2    19.2    18.6 1
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-1854  8  4    19.2    19.2    18.6 1
-1854  8  5    20.1    20.1    19.6 1
-1854  8  6    20.0    20.0    19.5 1
-1854  8  7    17.3    17.3    16.8 1
-1854  8  8    17.4    17.4    16.9 1
-1854  8  9    20.1    20.1    19.6 1
-1854  8 10    18.8    18.8    18.4 1
-1854  8 11    20.5    20.5    20.1 1
-1854  8 12    19.7    19.7    19.3 1
-1854  8 13    19.0    19.0    18.6 1
-1854  8 14    21.2    21.2    20.9 1
-1854  8 15    22.2    22.2    21.9 1
-1854  8 16    21.9    21.9    21.6 1
-1854  8 17    20.8    20.8    20.5 1
-1854  8 18    18.9    18.9    18.6 1
-1854  8 19    19.2    19.2    19.0 1
-1854  8 20    19.2    19.2    19.0 1
-1854  8 21    19.6    19.6    19.4 1
-1854  8 22    19.7    19.7    19.5 1
-1854  8 23    18.8    18.8    18.7 1
-1854  8 24    15.6    15.6    15.5 1
-1854  8 25    16.2    16.2    16.1 1
-1854  8 26    13.7    13.7    13.6 1
-1854  8 27    15.9    15.9    15.8 1
-1854  8 28    17.4    17.4    17.4 1
-1854  8 29    16.4    16.4    16.4 1
-1854  8 30    15.5    15.5    15.5 1
-1854  8 31    16.1    16.1    16.1 1
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-1854  9  8     8.5     8.5     8.5 1
-1854  9  9     7.6     7.6     7.6 1
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-1854  9 14    16.8    16.8    16.8 1
-1854  9 15    15.7    15.7    15.7 1
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-1854  9 21     8.9     8.9     8.9 1
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-1854  9 26     7.7     7.7     7.7 1
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-1855  2 28   -13.7   -13.7   -13.7 1
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-1855  3  3     0.1     0.1     0.1 1
-1855  3  4     2.0     2.0     2.0 1
-1855  3  5     1.4     1.4     1.4 1
-1855  3  6    -0.4    -0.4    -0.4 1
-1855  3  7    -0.3    -0.3    -0.3 1
-1855  3  8    -4.8    -4.8    -4.8 1
-1855  3  9    -5.7    -5.7    -5.7 1
-1855  3 10    -6.6    -6.6    -6.6 1
-1855  3 11    -8.1    -8.1    -8.1 1
-1855  3 12    -8.3    -8.3    -8.3 1
-1855  3 13    -5.4    -5.4    -5.4 1
-1855  3 14    -5.5    -5.5    -5.5 1
-1855  3 15    -5.2    -5.2    -5.2 1
-1855  3 16    -1.4    -1.4    -1.4 1
-1855  3 17    -3.2    -3.2    -3.2 1
-1855  3 18    -1.6    -1.6    -1.6 1
-1855  3 19     1.2     1.2     1.2 1
-1855  3 20     0.0     0.0     0.0 1
-1855  3 21    -4.7    -4.7    -4.7 1
-1855  3 22    -7.3    -7.3    -7.3 1
-1855  3 23    -5.7    -5.7    -5.7 1
-1855  3 24    -8.3    -8.3    -8.3 1
-1855  3 25    -8.7    -8.7    -8.7 1
-1855  3 26    -4.0    -4.0    -4.0 1
-1855  3 27    -3.3    -3.3    -3.3 1
-1855  3 28    -2.6    -2.6    -2.6 1
-1855  3 29     0.5     0.5     0.5 1
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-1855  4  2    -0.9    -0.9    -0.9 1
-1855  4  3     2.4     2.4     2.4 1
-1855  4  4     3.5     3.5     3.5 1
-1855  4  5     2.7     2.7     2.7 1
-1855  4  6     2.3     2.3     2.3 1
-1855  4  7     5.1     5.1     5.1 1
-1855  4  8     3.0     3.0     3.0 1
-1855  4  9     0.4     0.4     0.4 1
-1855  4 10     0.8     0.8     0.8 1
-1855  4 11     1.5     1.5     1.5 1
-1855  4 12     0.8     0.8     0.8 1
-1855  4 13     0.5     0.5     0.5 1
-1855  4 14     2.3     2.3     2.3 1
-1855  4 15     3.1     3.1     3.1 1
-1855  4 16     5.1     5.1     5.1 1
-1855  4 17     5.2     5.2     5.2 1
-1855  4 18     3.4     3.4     3.4 1
-1855  4 19     5.4     5.4     5.4 1
-1855  4 20     6.9     6.9     6.9 1
-1855  4 21     0.4     0.4     0.4 1
-1855  4 22     0.8     0.8     0.8 1
-1855  4 23     4.2     4.2     4.2 1
-1855  4 24     5.2     5.2     5.2 1
-1855  4 25     4.0     4.0     4.0 1
-1855  4 26     1.6     1.6     1.6 1
-1855  4 27     1.7     1.7     1.7 1
-1855  4 28     4.5     4.5     4.5 1
-1855  4 29     3.6     3.6     3.6 1
-1855  4 30     3.4     3.4     3.4 1
-1855  5  1     4.5     4.5     4.5 1
-1855  5  2     8.5     8.5     8.5 1
-1855  5  3     7.5     7.5     7.5 1
-1855  5  4     7.2     7.2     7.2 1
-1855  5  5     4.0     4.0     3.9 1
-1855  5  6     3.8     3.8     3.7 1
-1855  5  7     5.0     5.0     4.9 1
-1855  5  8     5.0     5.0     4.9 1
-1855  5  9     6.4     6.4     6.3 1
-1855  5 10     5.1     5.1     4.9 1
-1855  5 11     6.4     6.4     6.2 1
-1855  5 12     6.1     6.1     5.9 1
-1855  5 13    10.2    10.2    10.0 1
-1855  5 14     7.7     7.7     7.4 1
-1855  5 15     8.6     8.6     8.3 1
-1855  5 16     8.2     8.2     7.9 1
-1855  5 17    11.8    11.8    11.5 1
-1855  5 18     9.5     9.5     9.2 1
-1855  5 19    10.2    10.2     9.8 1
-1855  5 20     9.5     9.5     9.1 1
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-1855  5 24    10.7    10.7    10.2 1
-1855  5 25     9.7     9.7     9.2 1
-1855  5 26    15.2    15.2    14.7 1
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-1855  5 29     3.5     3.5     2.9 1
-1855  5 30     3.8     3.8     3.2 1
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-1855  6  6    16.2    16.2    15.5 1
-1855  6  7    18.1    18.1    17.4 1
-1855  6  8    19.0    19.0    18.3 1
-1855  6  9    19.2    19.2    18.5 1
-1855  6 10    17.8    17.8    17.1 1
-1855  6 11    15.9    15.9    15.2 1
-1855  6 12    16.6    16.6    15.9 1
-1855  6 13    16.8    16.8    16.1 1
-1855  6 14    17.1    17.1    16.4 1
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-1855  6 16    16.7    16.7    16.0 1
-1855  6 17    16.1    16.1    15.4 1
-1855  6 18    13.5    13.5    12.8 1
-1855  6 19    12.7    12.7    12.0 1
-1855  6 20    12.9    12.9    12.2 1
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-1855  6 23    17.5    17.5    16.8 1
-1855  6 24    16.7    16.7    16.0 1
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-1855  6 28    15.8    15.8    15.1 1
-1855  6 29    17.8    17.8    17.1 1
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-1855  7  4    21.9    21.9    21.2 1
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-1855  7  6    22.7    22.7    22.0 1
-1855  7  7    20.5    20.5    19.8 1
-1855  7  8    20.8    20.8    20.1 1
-1855  7  9    19.9    19.9    19.2 1
-1855  7 10    19.5    19.5    18.8 1
-1855  7 11    19.6    19.6    18.9 1
-1855  7 12    21.8    21.8    21.1 1
-1855  7 13    24.0    24.0    23.3 1
-1855  7 14    22.4    22.4    21.7 1
-1855  7 15    23.5    23.5    22.8 1
-1855  7 16    20.5    20.5    19.8 1
-1855  7 17    19.1    19.1    18.4 1
-1855  7 18    22.2    22.2    21.5 1
-1855  7 19    18.9    18.9    18.2 1
-1855  7 20    20.0    20.0    19.3 1
-1855  7 21    21.9    21.9    21.2 1
-1855  7 22    21.3    21.3    20.6 1
-1855  7 23    22.4    22.4    21.7 1
-1855  7 24    21.7    21.7    21.0 1
-1855  7 25    21.2    21.2    20.5 1
-1855  7 26    22.6    22.6    21.9 1
-1855  7 27    22.3    22.3    21.6 1
-1855  7 28    21.5    21.5    20.8 1
-1855  7 29    22.6    22.6    21.9 1
-1855  7 30    24.0    24.0    23.3 1
-1855  7 31    21.4    21.4    20.7 1
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-1855  8  7    12.5    12.5    12.0 1
-1855  8  8    15.5    15.5    15.0 1
-1855  8  9    17.1    17.1    16.6 1
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-1855  8 11    19.5    19.5    19.1 1
-1855  8 12    18.8    18.8    18.4 1
-1855  8 13    19.0    19.0    18.6 1
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-1855  8 26    16.3    16.3    16.2 1
-1855  8 27    14.7    14.7    14.6 1
-1855  8 28    15.3    15.3    15.3 1
-1855  8 29    16.0    16.0    16.0 1
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-1855  9 15     8.3     8.3     8.3 1
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-1856  3  4    -6.1    -6.1    -6.1 1
-1856  3  5    -3.0    -3.0    -3.0 1
-1856  3  6   -13.2   -13.2   -13.2 1
-1856  3  7   -10.6   -10.6   -10.6 1
-1856  3  8     0.4     0.4     0.4 1
-1856  3  9    -1.4    -1.4    -1.4 1
-1856  3 10    -4.3    -4.3    -4.3 1
-1856  3 11    -7.4    -7.4    -7.4 1
-1856  3 12    -7.2    -7.2    -7.2 1
-1856  3 13    -6.3    -6.3    -6.3 1
-1856  3 14    -2.8    -2.8    -2.8 1
-1856  3 15     0.4     0.4     0.4 1
-1856  3 16    -0.3    -0.3    -0.3 1
-1856  3 17     2.1     2.1     2.1 1
-1856  3 18     1.5     1.5     1.5 1
-1856  3 19     2.5     2.5     2.5 1
-1856  3 20     1.7     1.7     1.7 1
-1856  3 21    -0.1    -0.1    -0.1 1
-1856  3 22     0.7     0.7     0.7 1
-1856  3 23     1.6     1.6     1.6 1
-1856  3 24     2.7     2.7     2.7 1
-1856  3 25    -9.8    -9.8    -9.8 1
-1856  3 26    -8.7    -8.7    -8.7 1
-1856  3 27    -3.2    -3.2    -3.2 1
-1856  3 28    -8.4    -8.4    -8.4 1
-1856  3 29    -3.6    -3.6    -3.6 1
-1856  3 30     5.1     5.1     5.1 1
-1856  3 31     0.9     0.9     0.9 1
-1856  4  1     1.4     1.4     1.4 1
-1856  4  2    -0.8    -0.8    -0.8 1
-1856  4  3     0.2     0.2     0.2 1
-1856  4  4     4.2     4.2     4.2 1
-1856  4  5     5.6     5.6     5.6 1
-1856  4  6     1.8     1.8     1.8 1
-1856  4  7     1.0     1.0     1.0 1
-1856  4  8     2.4     2.4     2.4 1
-1856  4  9     3.5     3.5     3.5 1
-1856  4 10     2.7     2.7     2.7 1
-1856  4 11     2.9     2.9     2.9 1
-1856  4 12     4.5     4.5     4.5 1
-1856  4 13     3.8     3.8     3.8 1
-1856  4 14     3.7     3.7     3.7 1
-1856  4 15     2.7     2.7     2.7 1
-1856  4 16     6.3     6.3     6.3 1
-1856  4 17     7.4     7.4     7.4 1
-1856  4 18     1.1     1.1     1.1 1
-1856  4 19     0.1     0.1     0.1 1
-1856  4 20     2.1     2.1     2.1 1
-1856  4 21     5.5     5.5     5.5 1
-1856  4 22     8.0     8.0     8.0 1
-1856  4 23     9.6     9.6     9.6 1
-1856  4 24    10.5    10.5    10.5 1
-1856  4 25    10.8    10.8    10.8 1
-1856  4 26     9.7     9.7     9.7 1
-1856  4 27     6.2     6.2     6.2 1
-1856  4 28     3.8     3.8     3.8 1
-1856  4 29     2.5     2.5     2.5 1
-1856  4 30     0.6     0.6     0.6 1
-1856  5  1     0.0     0.0     0.0 1
-1856  5  2     1.4     1.4     1.4 1
-1856  5  3     1.0     1.0     1.0 1
-1856  5  4    -0.3    -0.3    -0.3 1
-1856  5  5     1.1     1.1     1.0 1
-1856  5  6     1.4     1.4     1.3 1
-1856  5  7     4.0     4.0     3.9 1
-1856  5  8     3.6     3.6     3.5 1
-1856  5  9     5.2     5.2     5.1 1
-1856  5 10     5.2     5.2     5.0 1
-1856  5 11     8.6     8.6     8.4 1
-1856  5 12    10.7    10.7    10.5 1
-1856  5 13    13.1    13.1    12.9 1
-1856  5 14    14.7    14.7    14.4 1
-1856  5 15    11.8    11.8    11.5 1
-1856  5 16    11.7    11.7    11.4 1
-1856  5 17     6.5     6.5     6.2 1
-1856  5 18    10.1    10.1     9.8 1
-1856  5 19    10.2    10.2     9.8 1
-1856  5 20     8.1     8.1     7.7 1
-1856  5 21     6.0     6.0     5.6 1
-1856  5 22     4.9     4.9     4.5 1
-1856  5 23     4.7     4.7     4.2 1
-1856  5 24     6.2     6.2     5.7 1
-1856  5 25     8.3     8.3     7.8 1
-1856  5 26    10.3    10.3     9.8 1
-1856  5 27     7.6     7.6     7.1 1
-1856  5 28    10.7    10.7    10.1 1
-1856  5 29    13.2    13.2    12.6 1
-1856  5 30    10.5    10.5     9.9 1
-1856  5 31     8.9     8.9     8.3 1
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-1856  6  2    12.8    12.8    12.1 1
-1856  6  3    13.7    13.7    13.0 1
-1856  6  4    15.1    15.1    14.4 1
-1856  6  5    11.2    11.2    10.5 1
-1856  6  6    10.1    10.1     9.4 1
-1856  6  7    13.0    13.0    12.3 1
-1856  6  8    11.5    11.5    10.8 1
-1856  6  9    13.8    13.8    13.1 1
-1856  6 10    13.9    13.9    13.2 1
-1856  6 11    15.3    15.3    14.6 1
-1856  6 12    17.3    17.3    16.6 1
-1856  6 13    15.3    15.3    14.6 1
-1856  6 14    14.9    14.9    14.2 1
-1856  6 15    15.7    15.7    15.0 1
-1856  6 16    14.4    14.4    13.7 1
-1856  6 17    16.1    16.1    15.4 1
-1856  6 18    16.1    16.1    15.4 1
-1856  6 19    15.0    15.0    14.3 1
-1856  6 20    17.0    17.0    16.3 1
-1856  6 21    16.5    16.5    15.8 1
-1856  6 22    14.7    14.7    14.0 1
-1856  6 23    13.9    13.9    13.2 1
-1856  6 24     6.7     6.7     6.0 1
-1856  6 25    14.8    14.8    14.1 1
-1856  6 26    17.3    17.3    16.6 1
-1856  6 27    17.8    17.8    17.1 1
-1856  6 28    16.9    16.9    16.2 1
-1856  6 29    14.0    14.0    13.3 1
-1856  6 30    12.3    12.3    11.6 1
-1856  7  1    11.2    11.2    10.5 1
-1856  7  2     8.8     8.8     8.1 1
-1856  7  3    10.5    10.5     9.8 1
-1856  7  4    14.4    14.4    13.7 1
-1856  7  5    16.1    16.1    15.4 1
-1856  7  6    15.8    15.8    15.1 1
-1856  7  7    15.0    15.0    14.3 1
-1856  7  8    15.2    15.2    14.5 1
-1856  7  9    16.7    16.7    16.0 1
-1856  7 10    14.5    14.5    13.8 1
-1856  7 11    15.6    15.6    14.9 1
-1856  7 12    15.8    15.8    15.1 1
-1856  7 13    16.2    16.2    15.5 1
-1856  7 14    17.4    17.4    16.7 1
-1856  7 15    19.2    19.2    18.5 1
-1856  7 16    19.7    19.7    19.0 1
-1856  7 17    19.0    19.0    18.3 1
-1856  7 18    16.8    16.8    16.1 1
-1856  7 19    16.5    16.5    15.8 1
-1856  7 20    15.1    15.1    14.4 1
-1856  7 21    13.2    13.2    12.5 1
-1856  7 22    17.3    17.3    16.6 1
-1856  7 23    18.2    18.2    17.5 1
-1856  7 24    18.9    18.9    18.2 1
-1856  7 25    19.1    19.1    18.4 1
-1856  7 26    21.0    21.0    20.3 1
-1856  7 27    19.6    19.6    18.9 1
-1856  7 28    20.1    20.1    19.4 1
-1856  7 29    18.2    18.2    17.5 1
-1856  7 30    17.2    17.2    16.5 1
-1856  7 31    17.6    17.6    16.9 1
-1856  8  1    15.9    15.9    15.3 1
-1856  8  2    14.5    14.5    13.9 1
-1856  8  3    16.2    16.2    15.6 1
-1856  8  4    14.2    14.2    13.6 1
-1856  8  5    15.1    15.1    14.6 1
-1856  8  6    14.6    14.6    14.1 1
-1856  8  7    13.6    13.6    13.1 1
-1856  8  8    11.2    11.2    10.7 1
-1856  8  9    11.0    11.0    10.5 1
-1856  8 10    12.3    12.3    11.9 1
-1856  8 11    10.0    10.0     9.6 1
-1856  8 12    11.3    11.3    10.9 1
-1856  8 13    13.8    13.8    13.4 1
-1856  8 14    16.1    16.1    15.8 1
-1856  8 15    14.9    14.9    14.6 1
-1856  8 16    14.8    14.8    14.5 1
-1856  8 17    15.0    15.0    14.7 1
-1856  8 18    14.2    14.2    13.9 1
-1856  8 19    13.3    13.3    13.1 1
-1856  8 20    13.1    13.1    12.9 1
-1856  8 21    13.0    13.0    12.8 1
-1856  8 22    11.3    11.3    11.1 1
-1856  8 23    10.7    10.7    10.6 1
-1856  8 24    12.3    12.3    12.2 1
-1856  8 25    13.9    13.9    13.8 1
-1856  8 26    14.7    14.7    14.6 1
-1856  8 27    13.3    13.3    13.2 1
-1856  8 28     8.8     8.8     8.8 1
-1856  8 29     8.9     8.9     8.9 1
-1856  8 30     9.1     9.1     9.1 1
-1856  8 31    12.0    12.0    12.0 1
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-1856  9  2    10.7    10.7    10.7 1
-1856  9  3     9.2     9.2     9.2 1
-1856  9  4    10.4    10.4    10.4 1
-1856  9  5    10.6    10.6    10.6 1
-1856  9  6    12.9    12.9    12.9 1
-1856  9  7    13.5    13.5    13.5 1
-1856  9  8    13.5    13.5    13.5 1
-1856  9  9    13.2    13.2    13.2 1
-1856  9 10    11.8    11.8    11.8 1
-1856  9 11    11.4    11.4    11.4 1
-1856  9 12    12.9    12.9    12.9 1
-1856  9 13    11.8    11.8    11.8 1
-1856  9 14    10.4    10.4    10.4 1
-1856  9 15    12.0    12.0    12.0 1
-1856  9 16    12.1    12.1    12.1 1
-1856  9 17    10.4    10.4    10.4 1
-1856  9 18    10.4    10.4    10.4 1
-1856  9 19     9.5     9.5     9.5 1
-1856  9 20     8.0     8.0     8.0 1
-1856  9 21     6.8     6.8     6.8 1
-1856  9 22    10.2    10.2    10.2 1
-1856  9 23    10.3    10.3    10.3 1
-1856  9 24    12.5    12.5    12.5 1
-1856  9 25    11.4    11.4    11.4 1
-1856  9 26    13.0    13.0    13.0 1
-1856  9 27    11.6    11.6    11.6 1
-1856  9 28     9.2     9.2     9.2 1
-1856  9 29     9.3     9.3     9.3 1
-1856  9 30     9.7     9.7     9.7 1
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-1856 10 11     9.5     9.5     9.5 1
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-1856 10 13     9.6     9.6     9.6 1
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-1857  3  8    -3.4    -3.4    -3.4 1
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-1857  3 10    -7.3    -7.3    -7.3 1
-1857  3 11    -7.3    -7.3    -7.3 1
-1857  3 12    -3.0    -3.0    -3.0 1
-1857  3 13    -6.7    -6.7    -6.7 1
-1857  3 14    -3.1    -3.1    -3.1 1
-1857  3 15    -0.1    -0.1    -0.1 1
-1857  3 16     2.2     2.2     2.2 1
-1857  3 17     0.9     0.9     0.9 1
-1857  3 18     1.6     1.6     1.6 1
-1857  3 19     0.4     0.4     0.4 1
-1857  3 20    -0.9    -0.9    -0.9 1
-1857  3 21    -0.9    -0.9    -0.9 1
-1857  3 22    -0.1    -0.1    -0.1 1
-1857  3 23    -1.5    -1.5    -1.5 1
-1857  3 24     0.5     0.5     0.5 1
-1857  3 25     1.3     1.3     1.3 1
-1857  3 26     1.2     1.2     1.2 1
-1857  3 27     1.0     1.0     1.0 1
-1857  3 28    -0.3    -0.3    -0.3 1
-1857  3 29    -2.4    -2.4    -2.4 1
-1857  3 30    -1.1    -1.1    -1.1 1
-1857  3 31    -1.5    -1.5    -1.5 1
-1857  4  1    -2.3    -2.3    -2.3 1
-1857  4  2    -0.6    -0.6    -0.6 1
-1857  4  3     2.3     2.3     2.3 1
-1857  4  4     1.8     1.8     1.8 1
-1857  4  5     2.4     2.4     2.4 1
-1857  4  6     0.2     0.2     0.2 1
-1857  4  7     1.1     1.1     1.1 1
-1857  4  8     2.5     2.5     2.5 1
-1857  4  9     3.6     3.6     3.6 1
-1857  4 10     3.1     3.1     3.1 1
-1857  4 11     2.9     2.9     2.9 1
-1857  4 12     3.4     3.4     3.4 1
-1857  4 13     5.2     5.2     5.2 1
-1857  4 14     4.4     4.4     4.4 1
-1857  4 15     5.4     5.4     5.4 1
-1857  4 16     6.3     6.3     6.3 1
-1857  4 17     6.6     6.6     6.6 1
-1857  4 18     4.5     4.5     4.5 1
-1857  4 19     6.5     6.5     6.5 1
-1857  4 20     1.1     1.1     1.1 1
-1857  4 21    -1.8    -1.8    -1.8 1
-1857  4 22    -3.6    -3.6    -3.6 1
-1857  4 23    -2.9    -2.9    -2.9 1
-1857  4 24    -1.0    -1.0    -1.0 1
-1857  4 25    -0.4    -0.4    -0.4 1
-1857  4 26    -0.4    -0.4    -0.4 1
-1857  4 27     1.8     1.8     1.8 1
-1857  4 28     3.1     3.1     3.1 1
-1857  4 29     4.9     4.9     4.9 1
-1857  4 30     2.6     2.6     2.6 1
-1857  5  1     4.8     4.8     4.8 1
-1857  5  2     6.8     6.8     6.8 1
-1857  5  3     6.0     6.0     6.0 1
-1857  5  4     4.4     4.4     4.4 1
-1857  5  5     3.9     3.9     3.8 1
-1857  5  6     7.3     7.3     7.2 1
-1857  5  7     7.7     7.7     7.6 1
-1857  5  8     5.5     5.5     5.4 1
-1857  5  9     5.3     5.3     5.2 1
-1857  5 10     5.7     5.7     5.5 1
-1857  5 11     6.9     6.9     6.7 1
-1857  5 12     6.4     6.4     6.2 1
-1857  5 13     7.9     7.9     7.7 1
-1857  5 14     6.2     6.2     5.9 1
-1857  5 15     3.1     3.1     2.8 1
-1857  5 16     7.3     7.3     7.0 1
-1857  5 17     6.3     6.3     6.0 1
-1857  5 18     8.3     8.3     8.0 1
-1857  5 19     6.6     6.6     6.2 1
-1857  5 20    14.1    14.1    13.7 1
-1857  5 21    17.5    17.5    17.1 1
-1857  5 22    19.5    19.5    19.1 1
-1857  5 23    19.0    19.0    18.5 1
-1857  5 24    15.5    15.5    15.0 1
-1857  5 25    16.4    16.4    15.9 1
-1857  5 26     7.9     7.9     7.4 1
-1857  5 27    10.4    10.4     9.9 1
-1857  5 28     9.4     9.4     8.8 1
-1857  5 29     5.8     5.8     5.2 1
-1857  5 30     8.5     8.5     7.9 1
-1857  5 31    10.5    10.5     9.9 1
-1857  6  1     8.2     8.2     7.5 1
-1857  6  2     8.4     8.4     7.7 1
-1857  6  3    11.6    11.6    10.9 1
-1857  6  4    12.4    12.4    11.7 1
-1857  6  5    12.6    12.6    11.9 1
-1857  6  6    10.2    10.2     9.5 1
-1857  6  7     9.4     9.4     8.7 1
-1857  6  8    10.7    10.7    10.0 1
-1857  6  9    15.5    15.5    14.8 1
-1857  6 10    14.9    14.9    14.2 1
-1857  6 11    14.1    14.1    13.4 1
-1857  6 12    13.9    13.9    13.2 1
-1857  6 13     9.0     9.0     8.3 1
-1857  6 14    10.4    10.4     9.7 1
-1857  6 15    12.2    12.2    11.5 1
-1857  6 16    14.5    14.5    13.8 1
-1857  6 17    16.4    16.4    15.7 1
-1857  6 18    16.8    16.8    16.1 1
-1857  6 19    18.4    18.4    17.7 1
-1857  6 20    16.7    16.7    16.0 1
-1857  6 21    13.6    13.6    12.9 1
-1857  6 22    16.2    16.2    15.5 1
-1857  6 23    17.9    17.9    17.2 1
-1857  6 24    22.6    22.6    21.9 1
-1857  6 25    20.1    20.1    19.4 1
-1857  6 26    14.2    14.2    13.5 1
-1857  6 27    19.8    19.8    19.1 1
-1857  6 28    13.6    13.6    12.9 1
-1857  6 29    11.2    11.2    10.5 1
-1857  6 30    13.6    13.6    12.9 1
-1857  7  1    14.2    14.2    13.5 1
-1857  7  2    14.4    14.4    13.7 1
-1857  7  3    17.9    17.9    17.2 1
-1857  7  4    17.3    17.3    16.6 1
-1857  7  5    16.6    16.6    15.9 1
-1857  7  6    20.1    20.1    19.4 1
-1857  7  7    19.7    19.7    19.0 1
-1857  7  8    18.7    18.7    18.0 1
-1857  7  9    15.0    15.0    14.3 1
-1857  7 10    18.8    18.8    18.1 1
-1857  7 11    18.5    18.5    17.8 1
-1857  7 12    17.2    17.2    16.5 1
-1857  7 13    20.2    20.2    19.5 1
-1857  7 14    17.8    17.8    17.1 1
-1857  7 15    17.3    17.3    16.6 1
-1857  7 16    19.3    19.3    18.6 1
-1857  7 17    19.0    19.0    18.3 1
-1857  7 18    13.8    13.8    13.1 1
-1857  7 19    13.4    13.4    12.7 1
-1857  7 20    15.4    15.4    14.7 1
-1857  7 21    17.6    17.6    16.9 1
-1857  7 22    14.8    14.8    14.1 1
-1857  7 23    15.1    15.1    14.4 1
-1857  7 24    15.9    15.9    15.2 1
-1857  7 25    16.7    16.7    16.0 1
-1857  7 26    17.4    17.4    16.7 1
-1857  7 27    16.7    16.7    16.0 1
-1857  7 28    16.8    16.8    16.1 1
-1857  7 29    13.8    13.8    13.1 1
-1857  7 30    17.4    17.4    16.7 1
-1857  7 31    18.4    18.4    17.7 1
-1857  8  1    18.5    18.5    17.9 1
-1857  8  2    20.3    20.3    19.7 1
-1857  8  3    19.0    19.0    18.4 1
-1857  8  4    19.5    19.5    18.9 1
-1857  8  5    20.5    20.5    20.0 1
-1857  8  6    22.6    22.6    22.1 1
-1857  8  7    21.5    21.5    21.0 1
-1857  8  8    21.4    21.4    20.9 1
-1857  8  9    21.3    21.3    20.8 1
-1857  8 10    21.4    21.4    21.0 1
-1857  8 11    22.9    22.9    22.5 1
-1857  8 12    24.2    24.2    23.8 1
-1857  8 13    21.9    21.9    21.5 1
-1857  8 14    22.3    22.3    22.0 1
-1857  8 15    23.3    23.3    23.0 1
-1857  8 16    19.0    19.0    18.7 1
-1857  8 17    15.8    15.8    15.5 1
-1857  8 18    18.0    18.0    17.7 1
-1857  8 19    18.7    18.7    18.5 1
-1857  8 20    19.0    19.0    18.8 1
-1857  8 21    16.5    16.5    16.3 1
-1857  8 22    14.9    14.9    14.7 1
-1857  8 23    16.0    16.0    15.9 1
-1857  8 24    20.6    20.6    20.5 1
-1857  8 25    20.9    20.9    20.8 1
-1857  8 26    18.6    18.6    18.5 1
-1857  8 27    18.4    18.4    18.3 1
-1857  8 28    15.3    15.3    15.3 1
-1857  8 29    15.2    15.2    15.2 1
-1857  8 30    17.0    17.0    17.0 1
-1857  8 31    18.4    18.4    18.4 1
-1857  9  1    15.9    15.9    15.9 1
-1857  9  2    16.3    16.3    16.3 1
-1857  9  3    16.6    16.6    16.6 1
-1857  9  4    17.6    17.6    17.6 1
-1857  9  5    19.0    19.0    19.0 1
-1857  9  6    19.5    19.5    19.5 1
-1857  9  7    18.3    18.3    18.3 1
-1857  9  8    16.0    16.0    16.0 1
-1857  9  9    15.4    15.4    15.4 1
-1857  9 10    15.7    15.7    15.7 1
-1857  9 11    18.0    18.0    18.0 1
-1857  9 12    17.8    17.8    17.8 1
-1857  9 13    12.9    12.9    12.9 1
-1857  9 14     8.6     8.6     8.6 1
-1857  9 15    12.8    12.8    12.8 1
-1857  9 16    15.4    15.4    15.4 1
-1857  9 17     9.8     9.8     9.8 1
-1857  9 18     9.4     9.4     9.4 1
-1857  9 19     4.6     4.6     4.6 1
-1857  9 20     7.0     7.0     7.0 1
-1857  9 21     8.6     8.6     8.6 1
-1857  9 22     3.3     3.3     3.3 1
-1857  9 23     4.5     4.5     4.5 1
-1857  9 24    11.4    11.4    11.4 1
-1857  9 25    11.2    11.2    11.2 1
-1857  9 26    12.6    12.6    12.6 1
-1857  9 27    12.9    12.9    12.9 1
-1857  9 28    14.8    14.8    14.8 1
-1857  9 29    13.3    13.3    13.3 1
-1857  9 30    11.1    11.1    11.1 1
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-1857 10  4    10.1    10.1    10.1 1
-1857 10  5     9.9     9.9     9.9 1
-1857 10  6    11.1    11.1    11.1 1
-1857 10  7     9.8     9.8     9.8 1
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-1857 10 11     8.7     8.7     8.7 1
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-1857 10 14    12.5    12.5    12.5 1
-1857 10 15    11.2    11.2    11.2 1
-1857 10 16     8.8     8.8     8.8 1
-1857 10 17     3.5     3.5     3.5 1
-1857 10 18     4.9     4.9     4.9 1
-1857 10 19     7.8     7.8     7.8 1
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-1857 10 21    10.8    10.8    10.8 1
-1857 10 22    10.2    10.2    10.2 1
-1857 10 23     6.9     6.9     6.9 1
-1857 10 24     8.1     8.1     8.1 1
-1857 10 25     7.4     7.4     7.4 1
-1857 10 26     5.1     5.1     5.1 1
-1857 10 27     7.4     7.4     7.4 1
-1857 10 28     8.2     8.2     8.2 1
-1857 10 29     9.1     9.1     9.1 1
-1857 10 30    10.0    10.0    10.0 1
-1857 10 31     8.4     8.4     8.4 1
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-1857 11  3     5.9     5.9     5.9 1
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-1857 11  5     6.4     6.4     6.4 1
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-1857 11  8     2.0     2.0     2.0 1
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-1857 11 11     3.1     3.1     3.1 1
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-1857 11 14     7.7     7.7     7.7 1
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-1857 11 28    -0.6    -0.6    -0.6 1
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-1857 12  8     6.5     6.5     6.5 1
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-1857 12 17     7.3     7.3     7.3 1
-1857 12 18     5.3     5.3     5.3 1
-1857 12 19     6.3     6.3     6.3 1
-1857 12 20     4.2     4.2     4.2 1
-1857 12 21     1.3     1.3     1.3 1
-1857 12 22     1.8     1.8     1.8 1
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-1857 12 28    -6.5    -6.5    -6.5 1
-1857 12 29    -1.3    -1.3    -1.3 1
-1857 12 30     4.4     4.4     4.4 1
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-1858  1  7     0.6     0.6     0.6 1
-1858  1  8     0.1     0.1     0.1 1
-1858  1  9     1.2     1.2     1.2 1
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-1858  1 12     2.6     2.6     2.6 1
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-1858  3 13    -1.1    -1.1    -1.1 1
-1858  3 14     0.2     0.2     0.2 1
-1858  3 15     0.5     0.5     0.5 1
-1858  3 16     0.6     0.6     0.6 1
-1858  3 17     3.1     3.1     3.1 1
-1858  3 18     1.8     1.8     1.8 1
-1858  3 19    -0.1    -0.1    -0.1 1
-1858  3 20     1.3     1.3     1.3 1
-1858  3 21     4.9     4.9     4.9 1
-1858  3 22     5.9     5.9     5.9 1
-1858  3 23     8.2     8.2     8.2 1
-1858  3 24     3.2     3.2     3.2 1
-1858  3 25    -0.8    -0.8    -0.8 1
-1858  3 26    -2.4    -2.4    -2.4 1
-1858  3 27    -4.1    -4.1    -4.1 1
-1858  3 28     2.4     2.4     2.4 1
-1858  3 29     5.3     5.3     5.3 1
-1858  3 30     7.1     7.1     7.1 1
-1858  3 31     5.0     5.0     5.0 1
-1858  4  1     4.7     4.7     4.7 1
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-1858  4  4     0.6     0.6     0.6 1
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-1858  4  9     1.7     1.7     1.7 1
-1858  4 10     2.8     2.8     2.8 1
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-1858  4 12    -1.7    -1.7    -1.7 1
-1858  4 13     1.2     1.2     1.2 1
-1858  4 14     1.9     1.9     1.9 1
-1858  4 15     2.0     2.0     2.0 1
-1858  4 16     5.9     5.9     5.9 1
-1858  4 17     6.4     6.4     6.4 1
-1858  4 18     8.8     8.8     8.8 1
-1858  4 19    10.3    10.3    10.3 1
-1858  4 20    11.3    11.3    11.3 1
-1858  4 21     5.4     5.4     5.4 1
-1858  4 22     1.7     1.7     1.7 1
-1858  4 23     5.7     5.7     5.7 1
-1858  4 24     4.3     4.3     4.3 1
-1858  4 25     6.0     6.0     6.0 1
-1858  4 26     8.1     8.1     8.1 1
-1858  4 27     5.9     5.9     5.9 1
-1858  4 28     7.9     7.9     7.9 1
-1858  4 29    10.8    10.8    10.8 1
-1858  4 30     7.5     7.5     7.5 1
-1858  5  1     7.4     7.4     7.4 1
-1858  5  2     8.7     8.7     8.7 1
-1858  5  3     8.8     8.8     8.8 1
-1858  5  4     7.2     7.2     7.2 1
-1858  5  5     7.9     7.9     7.8 1
-1858  5  6     6.2     6.2     6.1 1
-1858  5  7     5.9     5.9     5.8 1
-1858  5  8     8.4     8.4     8.3 1
-1858  5  9    10.6    10.6    10.5 1
-1858  5 10    11.5    11.5    11.3 1
-1858  5 11     8.9     8.9     8.7 1
-1858  5 12     6.6     6.6     6.4 1
-1858  5 13     9.5     9.5     9.3 1
-1858  5 14    10.0    10.0     9.7 1
-1858  5 15    11.3    11.3    11.0 1
-1858  5 16    12.3    12.3    12.0 1
-1858  5 17    12.8    12.8    12.5 1
-1858  5 18    13.1    13.1    12.8 1
-1858  5 19    13.3    13.3    12.9 1
-1858  5 20    10.4    10.4    10.0 1
-1858  5 21     8.9     8.9     8.5 1
-1858  5 22    11.4    11.4    11.0 1
-1858  5 23    13.4    13.4    12.9 1
-1858  5 24    11.0    11.0    10.5 1
-1858  5 25    11.6    11.6    11.1 1
-1858  5 26    10.2    10.2     9.7 1
-1858  5 27     5.5     5.5     5.0 1
-1858  5 28     8.8     8.8     8.2 1
-1858  5 29     8.3     8.3     7.7 1
-1858  5 30     8.9     8.9     8.3 1
-1858  5 31     9.9     9.9     9.3 1
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-1858  6  4    17.9    17.9    17.2 1
-1858  6  5    18.3    18.3    17.6 1
-1858  6  6    19.2    19.2    18.5 1
-1858  6  7    14.4    14.4    13.7 1
-1858  6  8    14.3    14.3    13.6 1
-1858  6  9    16.6    16.6    15.9 1
-1858  6 10    17.1    17.1    16.4 1
-1858  6 11    20.1    20.1    19.4 1
-1858  6 12    20.6    20.6    19.9 1
-1858  6 13    20.1    20.1    19.4 1
-1858  6 14    15.4    15.4    14.7 1
-1858  6 15    18.6    18.6    17.9 1
-1858  6 16    20.8    20.8    20.1 1
-1858  6 17    12.4    12.4    11.7 1
-1858  6 18    14.5    14.5    13.8 1
-1858  6 19    18.6    18.6    17.9 1
-1858  6 20    17.3    17.3    16.6 1
-1858  6 21    14.7    14.7    14.0 1
-1858  6 22    15.6    15.6    14.9 1
-1858  6 23    19.3    19.3    18.6 1
-1858  6 24    19.0    19.0    18.3 1
-1858  6 25    18.1    18.1    17.4 1
-1858  6 26    17.4    17.4    16.7 1
-1858  6 27    17.1    17.1    16.4 1
-1858  6 28    13.3    13.3    12.6 1
-1858  6 29    13.5    13.5    12.8 1
-1858  6 30    15.1    15.1    14.4 1
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-1858  7  3    15.4    15.4    14.7 1
-1858  7  4    16.8    16.8    16.1 1
-1858  7  5    18.5    18.5    17.8 1
-1858  7  6    17.0    17.0    16.3 1
-1858  7  7    17.9    17.9    17.2 1
-1858  7  8    18.1    18.1    17.4 1
-1858  7  9    18.1    18.1    17.4 1
-1858  7 10    19.5    19.5    18.8 1
-1858  7 11    20.2    20.2    19.5 1
-1858  7 12    19.1    19.1    18.4 1
-1858  7 13    21.0    21.0    20.3 1
-1858  7 14    21.1    21.1    20.4 1
-1858  7 15    23.3    23.3    22.6 1
-1858  7 16    24.2    24.2    23.5 1
-1858  7 17    22.8    22.8    22.1 1
-1858  7 18    23.5    23.5    22.8 1
-1858  7 19    24.3    24.3    23.6 1
-1858  7 20    24.2    24.2    23.5 1
-1858  7 21    25.2    25.2    24.5 1
-1858  7 22    25.1    25.1    24.4 1
-1858  7 23    20.6    20.6    19.9 1
-1858  7 24    21.3    21.3    20.6 1
-1858  7 25    19.7    19.7    19.0 1
-1858  7 26    17.9    17.9    17.2 1
-1858  7 27    17.0    17.0    16.3 1
-1858  7 28    18.0    18.0    17.3 1
-1858  7 29    19.5    19.5    18.8 1
-1858  7 30    19.9    19.9    19.2 1
-1858  7 31    19.4    19.4    18.7 1
-1858  8  1    19.2    19.2    18.6 1
-1858  8  2    18.0    18.0    17.4 1
-1858  8  3    16.6    16.6    16.0 1
-1858  8  4    17.9    17.9    17.3 1
-1858  8  5    19.1    19.1    18.6 1
-1858  8  6    21.0    21.0    20.5 1
-1858  8  7    19.0    19.0    18.5 1
-1858  8  8    18.5    18.5    18.0 1
-1858  8  9    15.7    15.7    15.2 1
-1858  8 10    20.2    20.2    19.8 1
-1858  8 11    19.9    19.9    19.5 1
-1858  8 12    21.0    21.0    20.6 1
-1858  8 13    20.5    20.5    20.1 1
-1858  8 14    22.8    22.8    22.5 1
-1858  8 15    22.1    22.1    21.8 1
-1858  8 16    20.6    20.6    20.3 1
-1858  8 17    19.7    19.7    19.4 1
-1858  8 18    21.9    21.9    21.6 1
-1858  8 19    22.1    22.1    21.9 1
-1858  8 20    19.9    19.9    19.7 1
-1858  8 21    18.5    18.5    18.3 1
-1858  8 22    19.4    19.4    19.2 1
-1858  8 23    20.1    20.1    20.0 1
-1858  8 24    19.6    19.6    19.5 1
-1858  8 25    18.4    18.4    18.3 1
-1858  8 26    16.2    16.2    16.1 1
-1858  8 27    15.3    15.3    15.2 1
-1858  8 28    14.2    14.2    14.2 1
-1858  8 29    18.4    18.4    18.4 1
-1858  8 30    19.1    19.1    19.1 1
-1858  8 31    18.0    18.0    18.0 1
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-1858  9  2    17.3    17.3    17.3 1
-1858  9  3    16.7    16.7    16.7 1
-1858  9  4    18.2    18.2    18.2 1
-1858  9  5    17.1    17.1    17.1 1
-1858  9  6    17.2    17.2    17.2 1
-1858  9  7    15.1    15.1    15.1 1
-1858  9  8    15.7    15.7    15.7 1
-1858  9  9    15.8    15.8    15.8 1
-1858  9 10    17.3    17.3    17.3 1
-1858  9 11    18.1    18.1    18.1 1
-1858  9 12    18.1    18.1    18.1 1
-1858  9 13    19.1    19.1    19.1 1
-1858  9 14    11.3    11.3    11.3 1
-1858  9 15    13.3    13.3    13.3 1
-1858  9 16    13.2    13.2    13.2 1
-1858  9 17    11.6    11.6    11.6 1
-1858  9 18    11.7    11.7    11.7 1
-1858  9 19    12.8    12.8    12.8 1
-1858  9 20    13.6    13.6    13.6 1
-1858  9 21    14.9    14.9    14.9 1
-1858  9 22    16.0    16.0    16.0 1
-1858  9 23    15.5    15.5    15.5 1
-1858  9 24    16.2    16.2    16.2 1
-1858  9 25    15.9    15.9    15.9 1
-1858  9 26    14.2    14.2    14.2 1
-1858  9 27    12.3    12.3    12.3 1
-1858  9 28    15.3    15.3    15.3 1
-1858  9 29    10.5    10.5    10.5 1
-1858  9 30    11.3    11.3    11.3 1
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-1858 10  8    10.6    10.6    10.6 1
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-1859  3  8     3.8     3.8     3.8 1
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-1859  3 26    -6.3    -6.3    -6.3 1
-1859  3 27    -4.3    -4.3    -4.3 1
-1859  3 28     2.0     2.0     2.0 1
-1859  3 29     6.8     6.8     6.8 1
-1859  3 30     4.0     4.0     4.0 1
-1859  3 31     0.6     0.6     0.6 1
-1859  4  1    -1.2    -1.2    -1.2 1
-1859  4  2     1.1     1.1     1.1 1
-1859  4  3     0.3     0.3     0.3 1
-1859  4  4     0.4     0.4     0.4 1
-1859  4  5    -1.5    -1.5    -1.5 1
-1859  4  6     0.8     0.8     0.8 1
-1859  4  7     5.2     5.2     5.2 1
-1859  4  8     9.7     9.7     9.7 1
-1859  4  9     7.0     7.0     7.0 1
-1859  4 10    -0.8    -0.8    -0.8 1
-1859  4 11    -0.1    -0.1    -0.1 1
-1859  4 12    -0.5    -0.5    -0.5 1
-1859  4 13     1.6     1.6     1.6 1
-1859  4 14     2.9     2.9     2.9 1
-1859  4 15     0.8     0.8     0.8 1
-1859  4 16     1.5     1.5     1.5 1
-1859  4 17     2.3     2.3     2.3 1
-1859  4 18     1.4     1.4     1.4 1
-1859  4 19     1.6     1.6     1.6 1
-1859  4 20     2.5     2.5     2.5 1
-1859  4 21     4.9     4.9     4.9 1
-1859  4 22     5.3     5.3     5.3 1
-1859  4 23     5.1     5.1     5.1 1
-1859  4 24     4.6     4.6     4.6 1
-1859  4 25     3.7     3.7     3.7 1
-1859  4 26     2.5     2.5     2.5 1
-1859  4 27     0.7     0.7     0.7 1
-1859  4 28     2.4     2.4     2.4 1
-1859  4 29     1.7     1.7     1.7 1
-1859  4 30     1.4     1.4     1.4 1
-1859  5  1     1.6     1.6     1.6 1
-1859  5  2     5.1     5.1     5.1 1
-1859  5  3     1.5     1.5     1.5 1
-1859  5  4     5.3     5.3     5.3 1
-1859  5  5     3.3     3.3     3.3 1
-1859  5  6     3.4     3.4     3.4 1
-1859  5  7     2.9     2.9     2.9 1
-1859  5  8     5.9     5.9     5.9 1
-1859  5  9     6.0     6.0     6.0 1
-1859  5 10     6.2     6.2     6.2 1
-1859  5 11     4.1     4.1     4.1 1
-1859  5 12     3.5     3.5     3.5 1
-1859  5 13     5.2     5.2     5.2 1
-1859  5 14     9.6     9.6     9.6 1
-1859  5 15    11.9    11.9    11.9 1
-1859  5 16    12.2    12.2    12.2 1
-1859  5 17    13.7    13.7    13.7 1
-1859  5 18    11.6    11.6    11.6 1
-1859  5 19    11.2    11.2    11.2 1
-1859  5 20    13.1    13.1    13.1 1
-1859  5 21     8.9     8.9     8.9 1
-1859  5 22     8.6     8.6     8.6 1
-1859  5 23    10.6    10.6    10.6 1
-1859  5 24    12.3    12.3    12.3 1
-1859  5 25    14.6    14.6    14.6 1
-1859  5 26    17.8    17.8    17.8 1
-1859  5 27    19.5    19.5    19.5 1
-1859  5 28    18.7    18.7    18.7 1
-1859  5 29    17.8    17.8    17.8 1
-1859  5 30    14.4    14.4    14.4 1
-1859  5 31    19.6    19.6    19.6 1
-1859  6  1    17.5    17.5    17.5 1
-1859  6  2    15.9    15.9    15.9 1
-1859  6  3     8.9     8.9     8.9 1
-1859  6  4     9.1     9.1     9.1 1
-1859  6  5    11.8    11.8    11.8 1
-1859  6  6    17.0    17.0    17.0 1
-1859  6  7    17.5    17.5    17.5 1
-1859  6  8    18.3    18.3    18.3 1
-1859  6  9    16.9    16.9    16.9 1
-1859  6 10    10.7    10.7    10.7 1
-1859  6 11    13.2    13.2    13.2 1
-1859  6 12    17.3    17.3    17.3 1
-1859  6 13    18.9    18.9    18.9 1
-1859  6 14    15.4    15.4    15.4 1
-1859  6 15    13.5    13.5    13.5 1
-1859  6 16    12.9    12.9    12.9 1
-1859  6 17    11.8    11.8    11.8 1
-1859  6 18    13.1    13.1    13.1 1
-1859  6 19    17.3    17.3    17.3 1
-1859  6 20    20.4    20.4    20.4 1
-1859  6 21    19.6    19.6    19.6 1
-1859  6 22    19.2    19.2    19.2 1
-1859  6 23    15.9    15.9    15.9 1
-1859  6 24    14.3    14.3    14.3 1
-1859  6 25    14.6    14.6    14.6 1
-1859  6 26    17.6    17.6    17.6 1
-1859  6 27    20.4    20.4    20.4 1
-1859  6 28    20.2    20.2    20.2 1
-1859  6 29    18.1    18.1    18.1 1
-1859  6 30    17.6    17.6    17.6 1
-1859  7  1    18.4    18.4    18.4 1
-1859  7  2    16.9    16.9    16.9 1
-1859  7  3    18.2    18.2    18.2 1
-1859  7  4    16.3    16.3    16.3 1
-1859  7  5    17.4    17.4    17.4 1
-1859  7  6    21.1    21.1    21.1 1
-1859  7  7    18.7    18.7    18.7 1
-1859  7  8    15.0    15.0    15.0 1
-1859  7  9    15.8    15.8    15.8 1
-1859  7 10    17.5    17.5    17.5 1
-1859  7 11    20.0    20.0    20.0 1
-1859  7 12    20.9    20.9    20.9 1
-1859  7 13    17.1    17.1    17.1 1
-1859  7 14    13.9    13.9    13.9 1
-1859  7 15    15.5    15.5    15.5 1
-1859  7 16    15.3    15.3    15.3 1
-1859  7 17    19.9    19.9    19.9 1
-1859  7 18    17.1    17.1    17.1 1
-1859  7 19    16.2    16.2    16.2 1
-1859  7 20    14.4    14.4    14.4 1
-1859  7 21    19.4    19.4    19.4 1
-1859  7 22    20.0    20.0    20.0 1
-1859  7 23    14.8    14.8    14.8 1
-1859  7 24    14.2    14.2    14.2 1
-1859  7 25    14.8    14.8    14.8 1
-1859  7 26    18.3    18.3    18.3 1
-1859  7 27    17.5    17.5    17.5 1
-1859  7 28    18.7    18.7    18.7 1
-1859  7 29    16.6    16.6    16.6 1
-1859  7 30    13.1    13.1    13.1 1
-1859  7 31    15.3    15.3    15.3 1
-1859  8  1    16.7    16.7    16.7 1
-1859  8  2    15.7    15.7    15.7 1
-1859  8  3    16.1    16.1    16.1 1
-1859  8  4    17.2    17.2    17.2 1
-1859  8  5    18.0    18.0    18.0 1
-1859  8  6    16.7    16.7    16.7 1
-1859  8  7    16.3    16.3    16.3 1
-1859  8  8    15.6    15.6    15.6 1
-1859  8  9    14.1    14.1    14.1 1
-1859  8 10    14.2    14.2    14.2 1
-1859  8 11    14.7    14.7    14.7 1
-1859  8 12    18.2    18.2    18.2 1
-1859  8 13    17.8    17.8    17.8 1
-1859  8 14    19.7    19.7    19.7 1
-1859  8 15    17.2    17.2    17.2 1
-1859  8 16    16.0    16.0    16.0 1
-1859  8 17    16.8    16.8    16.8 1
-1859  8 18    19.3    19.3    19.3 1
-1859  8 19    20.2    20.2    20.2 1
-1859  8 20    19.3    19.3    19.3 1
-1859  8 21    14.3    14.3    14.3 1
-1859  8 22    15.1    15.1    15.1 1
-1859  8 23    17.0    17.0    17.0 1
-1859  8 24    17.2    17.2    17.2 1
-1859  8 25    17.7    17.7    17.7 1
-1859  8 26    18.5    18.5    18.5 1
-1859  8 27    14.4    14.4    14.4 1
-1859  8 28    17.3    17.3    17.3 1
-1859  8 29    15.8    15.8    15.8 1
-1859  8 30    17.3    17.3    17.3 1
-1859  8 31    18.5    18.5    18.5 1
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-1859  9  2    13.8    13.8    13.8 1
-1859  9  3    14.9    14.9    14.9 1
-1859  9  4    14.1    14.1    14.1 1
-1859  9  5    13.0    13.0    13.0 1
-1859  9  6    13.0    13.0    13.0 1
-1859  9  7    13.2    13.2    13.2 1
-1859  9  8    14.0    14.0    14.0 1
-1859  9  9    13.0    13.0    13.0 1
-1859  9 10    14.4    14.4    14.4 1
-1859  9 11    12.4    12.4    12.4 1
-1859  9 12    12.0    12.0    12.0 1
-1859  9 13    13.5    13.5    13.5 1
-1859  9 14    11.8    11.8    11.8 1
-1859  9 15     8.1     8.1     8.1 1
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-1859  9 17     6.3     6.3     6.3 1
-1859  9 18     6.4     6.4     6.4 1
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-1859  9 20     9.9     9.9     9.9 1
-1859  9 21    10.1    10.1    10.1 1
-1859  9 22    10.6    10.6    10.6 1
-1859  9 23     9.3     9.3     9.3 1
-1859  9 24    12.5    12.5    12.5 1
-1859  9 25    17.0    17.0    17.0 1
-1859  9 26    15.1    15.1    15.1 1
-1859  9 27    12.4    12.4    12.4 1
-1859  9 28    10.3    10.3    10.3 1
-1859  9 29    10.7    10.7    10.7 1
-1859  9 30    12.4    12.4    12.4 1
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-1859 10  7     9.1     9.1     9.1 1
-1859 10  8     8.1     8.1     8.1 1
-1859 10  9     6.9     6.9     6.9 1
-1859 10 10     5.9     5.9     5.9 1
-1859 10 11     4.9     4.9     4.9 1
-1859 10 12     6.3     6.3     6.3 1
-1859 10 13     6.7     6.7     6.7 1
-1859 10 14     6.4     6.4     6.4 1
-1859 10 15     6.6     6.6     6.6 1
-1859 10 16     6.9     6.9     6.9 1
-1859 10 17     6.5     6.5     6.5 1
-1859 10 18     2.0     2.0     2.0 1
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-1859 10 25     3.8     3.8     3.8 1
-1859 10 26     5.5     5.5     5.5 1
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-1859 10 28     5.4     5.4     5.4 1
-1859 10 29     5.8     5.8     5.8 1
-1859 10 30     6.9     6.9     6.9 1
-1859 10 31     3.2     3.2     3.2 1
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-1860  4  2     4.7     4.7     4.7 1
-1860  4  3     2.2     2.2     2.2 1
-1860  4  4    -2.0    -2.0    -2.0 1
-1860  4  5     1.5     1.5     1.5 1
-1860  4  6     3.1     3.1     3.1 1
-1860  4  7     5.0     5.0     5.0 1
-1860  4  8     3.4     3.4     3.4 1
-1860  4  9     4.1     4.1     4.1 1
-1860  4 10     3.3     3.3     3.3 1
-1860  4 11     3.4     3.4     3.4 1
-1860  4 12     3.6     3.6     3.6 1
-1860  4 13     1.8     1.8     1.8 1
-1860  4 14     1.0     1.0     1.0 1
-1860  4 15     2.2     2.2     2.2 1
-1860  4 16     4.9     4.9     4.9 1
-1860  4 17     6.7     6.7     6.7 1
-1860  4 18     4.0     4.0     4.0 1
-1860  4 19    -1.4    -1.4    -1.4 1
-1860  4 20     1.8     1.8     1.8 1
-1860  4 21     4.8     4.8     4.8 1
-1860  4 22     3.9     3.9     3.9 1
-1860  4 23     4.8     4.8     4.8 1
-1860  4 24     3.3     3.3     3.3 1
-1860  4 25     4.1     4.1     4.1 1
-1860  4 26     4.7     4.7     4.7 1
-1860  4 27     3.7     3.7     3.7 1
-1860  4 28     6.9     6.9     6.9 1
-1860  4 29     6.2     6.2     6.2 1
-1860  4 30     6.4     6.4     6.4 1
-1860  5  1     8.6     8.6     8.6 1
-1860  5  2     6.1     6.1     6.1 1
-1860  5  3     3.1     3.1     3.1 1
-1860  5  4     3.6     3.6     3.6 1
-1860  5  5     3.0     3.0     3.0 1
-1860  5  6     1.5     1.5     1.5 1
-1860  5  7     3.5     3.5     3.5 1
-1860  5  8     4.4     4.4     4.4 1
-1860  5  9     6.5     6.5     6.5 1
-1860  5 10     7.6     7.6     7.6 1
-1860  5 11     8.3     8.3     8.3 1
-1860  5 12     6.8     6.8     6.8 1
-1860  5 13     3.6     3.6     3.6 1
-1860  5 14     2.0     2.0     2.0 1
-1860  5 15     3.5     3.5     3.5 1
-1860  5 16     4.4     4.4     4.4 1
-1860  5 17     6.4     6.4     6.4 1
-1860  5 18     8.0     8.0     8.0 1
-1860  5 19     9.1     9.1     9.1 1
-1860  5 20    13.3    13.3    13.3 1
-1860  5 21    10.4    10.4    10.4 1
-1860  5 22     9.4     9.4     9.4 1
-1860  5 23    10.3    10.3    10.3 1
-1860  5 24    11.5    11.5    11.5 1
-1860  5 25     9.7     9.7     9.7 1
-1860  5 26    11.1    11.1    11.1 1
-1860  5 27    11.2    11.2    11.2 1
-1860  5 28     9.2     9.2     9.2 1
-1860  5 29    10.8    10.8    10.8 1
-1860  5 30    11.1    11.1    11.1 1
-1860  5 31    11.1    11.1    11.1 1
-1860  6  1    12.4    12.4    12.4 1
-1860  6  2    11.7    11.7    11.7 1
-1860  6  3    13.4    13.4    13.4 1
-1860  6  4    14.1    14.1    14.1 1
-1860  6  5     7.6     7.6     7.6 1
-1860  6  6     9.3     9.3     9.3 1
-1860  6  7    11.6    11.6    11.6 1
-1860  6  8    10.2    10.2    10.2 1
-1860  6  9    11.9    11.9    11.9 1
-1860  6 10    11.1    11.1    11.1 1
-1860  6 11    11.9    11.9    11.9 1
-1860  6 12    13.0    13.0    13.0 1
-1860  6 13    14.5    14.5    14.5 1
-1860  6 14    17.7    17.7    17.7 1
-1860  6 15    18.0    18.0    18.0 1
-1860  6 16    17.2    17.2    17.2 1
-1860  6 17    19.3    19.3    19.3 1
-1860  6 18    15.9    15.9    15.9 1
-1860  6 19    17.8    17.8    17.8 1
-1860  6 20    14.5    14.5    14.5 1
-1860  6 21    15.9    15.9    15.9 1
-1860  6 22    16.1    16.1    16.1 1
-1860  6 23    16.5    16.5    16.5 1
-1860  6 24    17.8    17.8    17.8 1
-1860  6 25    18.5    18.5    18.5 1
-1860  6 26    15.0    15.0    15.0 1
-1860  6 27    15.4    15.4    15.4 1
-1860  6 28    14.3    14.3    14.3 1
-1860  6 29    13.6    13.6    13.6 1
-1860  6 30    11.4    11.4    11.4 1
-1860  7  1    11.1    11.1    11.1 1
-1860  7  2    13.3    13.3    13.3 1
-1860  7  3    14.7    14.7    14.7 1
-1860  7  4    10.3    10.3    10.3 1
-1860  7  5     9.4     9.4     9.4 1
-1860  7  6    11.1    11.1    11.1 1
-1860  7  7    12.1    12.1    12.1 1
-1860  7  8    12.9    12.9    12.9 1
-1860  7  9    15.0    15.0    15.0 1
-1860  7 10    15.9    15.9    15.9 1
-1860  7 11    18.7    18.7    18.7 1
-1860  7 12    17.3    17.3    17.3 1
-1860  7 13    16.1    16.1    16.1 1
-1860  7 14    16.4    16.4    16.4 1
-1860  7 15    17.5    17.5    17.5 1
-1860  7 16    20.2    20.2    20.2 1
-1860  7 17    20.9    20.9    20.9 1
-1860  7 18    21.0    21.0    21.0 1
-1860  7 19    21.8    21.8    21.8 1
-1860  7 20    21.4    21.4    21.4 1
-1860  7 21    18.9    18.9    18.9 1
-1860  7 22    18.6    18.6    18.6 1
-1860  7 23    18.7    18.7    18.7 1
-1860  7 24    18.6    18.6    18.6 1
-1860  7 25    17.9    17.9    17.9 1
-1860  7 26    16.8    16.8    16.8 1
-1860  7 27    17.1    17.1    17.1 1
-1860  7 28    16.1    16.1    16.1 1
-1860  7 29    16.6    16.6    16.6 1
-1860  7 30    15.7    15.7    15.7 1
-1860  7 31    17.3    17.3    17.3 1
-1860  8  1    18.1    18.1    18.1 1
-1860  8  2    17.1    17.1    17.1 1
-1860  8  3    16.3    16.3    16.3 1
-1860  8  4    15.4    15.4    15.4 1
-1860  8  5    15.4    15.4    15.4 1
-1860  8  6    15.1    15.1    15.1 1
-1860  8  7    17.2    17.2    17.2 1
-1860  8  8    13.5    13.5    13.5 1
-1860  8  9    15.0    15.0    15.0 1
-1860  8 10    16.7    16.7    16.7 1
-1860  8 11    15.2    15.2    15.2 1
-1860  8 12    13.9    13.9    13.9 1
-1860  8 13    15.6    15.6    15.6 1
-1860  8 14    14.9    14.9    14.9 1
-1860  8 15    16.6    16.6    16.6 1
-1860  8 16    16.9    16.9    16.9 1
-1860  8 17    15.6    15.6    15.6 1
-1860  8 18    15.8    15.8    15.8 1
-1860  8 19    15.4    15.4    15.4 1
-1860  8 20    15.2    15.2    15.2 1
-1860  8 21    15.3    15.3    15.3 1
-1860  8 22    16.4    16.4    16.4 1
-1860  8 23    13.9    13.9    13.9 1
-1860  8 24    13.1    13.1    13.1 1
-1860  8 25    13.8    13.8    13.8 1
-1860  8 26    14.4    14.4    14.4 1
-1860  8 27    14.1    14.1    14.1 1
-1860  8 28    13.4    13.4    13.4 1
-1860  8 29    12.6    12.6    12.6 1
-1860  8 30    15.0    15.0    15.0 1
-1860  8 31    14.7    14.7    14.7 1
-1860  9  1    14.1    14.1    14.1 1
-1860  9  2    12.4    12.4    12.4 1
-1860  9  3    13.4    13.4    13.4 1
-1860  9  4    12.3    12.3    12.3 1
-1860  9  5    12.2    12.2    12.2 1
-1860  9  6    12.9    12.9    12.9 1
-1860  9  7    15.1    15.1    15.1 1
-1860  9  8    13.4    13.4    13.4 1
-1860  9  9     9.0     9.0     9.0 1
-1860  9 10     6.3     6.3     6.3 1
-1860  9 11     7.1     7.1     7.1 1
-1860  9 12    11.1    11.1    11.1 1
-1860  9 13    11.6    11.6    11.6 1
-1860  9 14    11.6    11.6    11.6 1
-1860  9 15    12.3    12.3    12.3 1
-1860  9 16    13.0    13.0    13.0 1
-1860  9 17    12.7    12.7    12.7 1
-1860  9 18    15.3    15.3    15.3 1
-1860  9 19    13.2    13.2    13.2 1
-1860  9 20    11.7    11.7    11.7 1
-1860  9 21    10.5    10.5    10.5 1
-1860  9 22    10.4    10.4    10.4 1
-1860  9 23    12.9    12.9    12.9 1
-1860  9 24    11.6    11.6    11.6 1
-1860  9 25    12.4    12.4    12.4 1
-1860  9 26    12.0    12.0    12.0 1
-1860  9 27    10.8    10.8    10.8 1
-1860  9 28     9.1     9.1     9.1 1
-1860  9 29     8.4     8.4     8.4 1
-1860  9 30     6.1     6.1     6.1 1
-1860 10  1     7.0     7.0     7.0 1
-1860 10  2     6.7     6.7     6.7 1
-1860 10  3     9.3     9.3     9.3 1
-1860 10  4     7.2     7.2     7.2 1
-1860 10  5     4.6     4.6     4.6 1
-1860 10  6     2.5     2.5     2.5 1
-1860 10  7     5.1     5.1     5.1 1
-1860 10  8     6.7     6.7     6.7 1
-1860 10  9     3.1     3.1     3.1 1
-1860 10 10     4.6     4.6     4.6 1
-1860 10 11     3.2     3.2     3.2 1
-1860 10 12     1.1     1.1     1.1 1
-1860 10 13    -0.4    -0.4    -0.4 1
-1860 10 14     4.7     4.7     4.7 1
-1860 10 15     4.1     4.1     4.1 1
-1860 10 16     8.0     8.0     8.0 1
-1860 10 17     7.5     7.5     7.5 1
-1860 10 18     6.9     6.9     6.9 1
-1860 10 19     8.4     8.4     8.4 1
-1860 10 20     7.9     7.9     7.9 1
-1860 10 21     8.1     8.1     8.1 1
-1860 10 22     5.0     5.0     5.0 1
-1860 10 23     4.0     4.0     4.0 1
-1860 10 24     3.8     3.8     3.8 1
-1860 10 25     4.2     4.2     4.2 1
-1860 10 26     7.5     7.5     7.5 1
-1860 10 27     7.4     7.4     7.4 1
-1860 10 28     6.0     6.0     6.0 1
-1860 10 29     5.6     5.6     5.6 1
-1860 10 30     4.1     4.1     4.1 1
-1860 10 31     3.5     3.5     3.5 1
-1860 11  1     2.9     2.9     2.9 1
-1860 11  2     3.9     3.9     3.9 1
-1860 11  3     3.4     3.4     3.4 1
-1860 11  4     2.8     2.8     2.8 1
-1860 11  5     1.4     1.4     1.4 1
-1860 11  6     2.2     2.2     2.2 1
-1860 11  7     0.8     0.8     0.8 1
-1860 11  8    -0.5    -0.5    -0.5 1
-1860 11  9     1.6     1.6     1.6 1
-1860 11 10     3.0     3.0     3.0 1
-1860 11 11     4.1     4.1     4.1 1
-1860 11 12     3.4     3.4     3.4 1
-1860 11 13     2.3     2.3     2.3 1
-1860 11 14     3.0     3.0     3.0 1
-1860 11 15     5.5     5.5     5.5 1
-1860 11 16     5.2     5.2     5.2 1
-1860 11 17     2.9     2.9     2.9 1
-1860 11 18     4.7     4.7     4.7 1
-1860 11 19     2.4     2.4     2.4 1
-1860 11 20    -0.8    -0.8    -0.8 1
-1860 11 21    -1.0    -1.0    -1.0 1
-1860 11 22     0.2     0.2     0.2 1
-1860 11 23     0.2     0.2     0.2 1
-1860 11 24    -0.5    -0.5    -0.5 1
-1860 11 25    -1.2    -1.2    -1.2 1
-1860 11 26    -1.6    -1.6    -1.6 1
-1860 11 27    -7.4    -7.4    -7.4 1
-1860 11 28    -5.3    -5.3    -5.3 1
-1860 11 29    -4.4    -4.4    -4.4 1
-1860 11 30    -2.4    -2.4    -2.4 1
-1860 12  1    -6.5    -6.5    -6.5 1
-1860 12  2    -7.1    -7.1    -7.1 1
-1860 12  3    -3.4    -3.4    -3.4 1
-1860 12  4    -2.9    -2.9    -2.9 1
-1860 12  5    -1.7    -1.7    -1.7 1
-1860 12  6    -2.2    -2.2    -2.2 1
-1860 12  7    -0.9    -0.9    -0.9 1
-1860 12  8     1.8     1.8     1.8 1
-1860 12  9    -0.4    -0.4    -0.4 1
-1860 12 10    -2.1    -2.1    -2.1 1
-1860 12 11    -2.6    -2.6    -2.6 1
-1860 12 12    -3.8    -3.8    -3.8 1
-1860 12 13    -4.6    -4.6    -4.6 1
-1860 12 14    -5.0    -5.0    -5.0 1
-1860 12 15    -4.2    -4.2    -4.2 1
-1860 12 16    -1.3    -1.3    -1.3 1
-1860 12 17    -5.1    -5.1    -5.1 1
-1860 12 18    -2.7    -2.7    -2.7 1
-1860 12 19   -10.6   -10.6   -10.6 1
-1860 12 20   -11.6   -11.6   -11.6 1
-1860 12 21   -11.1   -11.1   -11.1 1
-1860 12 22    -7.6    -7.6    -7.6 1
-1860 12 23    -3.4    -3.4    -3.4 1
-1860 12 24    -2.2    -2.2    -2.2 1
-1860 12 25    -2.3    -2.3    -2.3 1
-1860 12 26    -7.0    -7.0    -7.0 1
-1860 12 27    -7.9    -7.9    -7.9 1
-1860 12 28   -12.5   -12.5   -12.5 1
-1860 12 29    -8.9    -8.9    -8.9 1
-1860 12 30   -13.4   -13.4   -13.4 1
-1860 12 31    -9.8    -9.8    -9.8 1
-1861  1  1   -12.9   -12.9   -12.9 1
-1861  1  2   -11.3   -11.3   -11.3 1
-1861  1  3   -11.2   -11.2   -11.2 1
-1861  1  4    -9.8    -9.8    -9.8 1
-1861  1  5    -9.2    -9.2    -9.2 1
-1861  1  6    -4.1    -4.1    -4.1 1
-1861  1  7    -5.2    -5.2    -5.2 1
-1861  1  8    -8.9    -8.9    -8.9 1
-1861  1  9   -13.3   -13.3   -13.3 1
-1861  1 10    -6.9    -6.9    -6.9 1
-1861  1 11   -11.3   -11.3   -11.3 1
-1861  1 12   -20.4   -20.4   -20.4 1
-1861  1 13   -16.1   -16.1   -16.1 1
-1861  1 14   -14.4   -14.4   -14.4 1
-1861  1 15   -12.5   -12.5   -12.5 1
-1861  1 16    -4.2    -4.2    -4.2 1
-1861  1 17    -0.5    -0.5    -0.5 1
-1861  1 18    -2.2    -2.2    -2.2 1
-1861  1 19    -5.1    -5.1    -5.1 1
-1861  1 20   -11.0   -11.0   -11.0 1
-1861  1 21    -9.6    -9.6    -9.6 1
-1861  1 22   -12.5   -12.5   -12.5 1
-1861  1 23   -11.2   -11.2   -11.2 1
-1861  1 24    -4.7    -4.7    -4.7 1
-1861  1 25     0.7     0.7     0.7 1
-1861  1 26    -2.0    -2.0    -2.0 1
-1861  1 27   -12.8   -12.8   -12.8 1
-1861  1 28   -13.4   -13.4   -13.4 1
-1861  1 29    -6.9    -6.9    -6.9 1
-1861  1 30    -2.9    -2.9    -2.9 1
-1861  1 31    -0.6    -0.6    -0.6 1
-1861  2  1     1.8     1.8     1.8 1
-1861  2  2     0.5     0.5     0.5 1
-1861  2  3     0.7     0.7     0.7 1
-1861  2  4     0.3     0.3     0.3 1
-1861  2  5    -0.1    -0.1    -0.1 1
-1861  2  6    -0.2    -0.2    -0.2 1
-1861  2  7     2.0     2.0     2.0 1
-1861  2  8     3.1     3.1     3.1 1
-1861  2  9     1.1     1.1     1.1 1
-1861  2 10    -2.6    -2.6    -2.6 1
-1861  2 11    -5.5    -5.5    -5.5 1
-1861  2 12    -5.2    -5.2    -5.2 1
-1861  2 13    -1.0    -1.0    -1.0 1
-1861  2 14    -2.6    -2.6    -2.6 1
-1861  2 15    -5.1    -5.1    -5.1 1
-1861  2 16    -1.2    -1.2    -1.2 1
-1861  2 17    -4.2    -4.2    -4.2 1
-1861  2 18    -7.1    -7.1    -7.1 1
-1861  2 19    -7.9    -7.9    -7.9 1
-1861  2 20    -5.1    -5.1    -5.1 1
-1861  2 21    -2.3    -2.3    -2.3 1
-1861  2 22     0.3     0.3     0.3 1
-1861  2 23     3.5     3.5     3.5 1
-1861  2 24     1.5     1.5     1.5 1
-1861  2 25    -0.7    -0.7    -0.7 1
-1861  2 26    -1.4    -1.4    -1.4 1
-1861  2 27     0.9     0.9     0.9 1
-1861  2 28     0.7     0.7     0.7 1
-1861  3  1     1.1     1.1     1.1 1
-1861  3  2     1.4     1.4     1.4 1
-1861  3  3     1.0     1.0     1.0 1
-1861  3  4    -0.2    -0.2    -0.2 1
-1861  3  5    -3.1    -3.1    -3.1 1
-1861  3  6     1.2     1.2     1.2 1
-1861  3  7     1.9     1.9     1.9 1
-1861  3  8     0.1     0.1     0.1 1
-1861  3  9     0.4     0.4     0.4 1
-1861  3 10    -1.3    -1.3    -1.3 1
-1861  3 11    -2.3    -2.3    -2.3 1
-1861  3 12    -4.7    -4.7    -4.7 1
-1861  3 13    -8.7    -8.7    -8.7 1
-1861  3 14   -10.0   -10.0   -10.0 1
-1861  3 15    -2.0    -2.0    -2.0 1
-1861  3 16     1.6     1.6     1.6 1
-1861  3 17     0.2     0.2     0.2 1
-1861  3 18     0.0     0.0     0.0 1
-1861  3 19     0.2     0.2     0.2 1
-1861  3 20     0.3     0.3     0.3 1
-1861  3 21     0.8     0.8     0.8 1
-1861  3 22     0.5     0.5     0.5 1
-1861  3 23     1.1     1.1     1.1 1
-1861  3 24     3.9     3.9     3.9 1
-1861  3 25     4.2     4.2     4.2 1
-1861  3 26     1.9     1.9     1.9 1
-1861  3 27     0.1     0.1     0.1 1
-1861  3 28     0.7     0.7     0.7 1
-1861  3 29     1.0     1.0     1.0 1
-1861  3 30     1.4     1.4     1.4 1
-1861  3 31     1.9     1.9     1.9 1
-1861  4  1     2.6     2.6     2.6 1
-1861  4  2     2.6     2.6     2.6 1
-1861  4  3     3.5     3.5     3.5 1
-1861  4  4     0.7     0.7     0.7 1
-1861  4  5     1.2     1.2     1.2 1
-1861  4  6     1.3     1.3     1.3 1
-1861  4  7    -0.3    -0.3    -0.3 1
-1861  4  8    -0.1    -0.1    -0.1 1
-1861  4  9     3.9     3.9     3.9 1
-1861  4 10     4.1     4.1     4.1 1
-1861  4 11     6.5     6.5     6.5 1
-1861  4 12     7.2     7.2     7.2 1
-1861  4 13     4.5     4.5     4.5 1
-1861  4 14     3.5     3.5     3.5 1
-1861  4 15     2.7     2.7     2.7 1
-1861  4 16     8.5     8.5     8.5 1
-1861  4 17     0.2     0.2     0.2 1
-1861  4 18    -1.3    -1.3    -1.3 1
-1861  4 19    -1.0    -1.0    -1.0 1
-1861  4 20     0.9     0.9     0.9 1
-1861  4 21    -0.1    -0.1    -0.1 1
-1861  4 22    -2.4    -2.4    -2.4 1
-1861  4 23     2.1     2.1     2.1 1
-1861  4 24     3.3     3.3     3.3 1
-1861  4 25     3.6     3.6     3.6 1
-1861  4 26     1.4     1.4     1.4 1
-1861  4 27     3.5     3.5     3.5 1
-1861  4 28     0.9     0.9     0.9 1
-1861  4 29     1.0     1.0     1.0 1
-1861  4 30     1.5     1.5     1.5 1
-1861  5  1     4.2     4.2     4.2 1
-1861  5  2     1.8     1.8     1.8 1
-1861  5  3     1.8     1.8     1.8 1
-1861  5  4     2.0     2.0     2.0 1
-1861  5  5     4.3     4.3     4.3 1
-1861  5  6     5.8     5.8     5.8 1
-1861  5  7     2.3     2.3     2.3 1
-1861  5  8     0.8     0.8     0.8 1
-1861  5  9     3.1     3.1     3.1 1
-1861  5 10     4.5     4.5     4.5 1
-1861  5 11     7.0     7.0     7.0 1
-1861  5 12     5.7     5.7     5.7 1
-1861  5 13     6.9     6.9     6.9 1
-1861  5 14     4.2     4.2     4.2 1
-1861  5 15     4.9     4.9     4.9 1
-1861  5 16     1.9     1.9     1.9 1
-1861  5 17     2.8     2.8     2.8 1
-1861  5 18     2.2     2.2     2.2 1
-1861  5 19     4.1     4.1     4.1 1
-1861  5 20     4.8     4.8     4.8 1
-1861  5 21     5.1     5.1     5.1 1
-1861  5 22     7.7     7.7     7.7 1
-1861  5 23     8.8     8.8     8.8 1
-1861  5 24     7.2     7.2     7.2 1
-1861  5 25     7.0     7.0     7.0 1
-1861  5 26     9.2     9.2     9.2 1
-1861  5 27    13.1    13.1    13.1 1
-1861  5 28    13.1    13.1    13.1 1
-1861  5 29    12.9    12.9    12.9 1
-1861  5 30    12.2    12.2    12.2 1
-1861  5 31    10.9    10.9    10.9 1
-1861  6  1    11.0    11.0    11.0 1
-1861  6  2    13.8    13.8    13.8 1
-1861  6  3    14.8    14.8    14.8 1
-1861  6  4    15.5    15.5    15.5 1
-1861  6  5    15.0    15.0    15.0 1
-1861  6  6    15.4    15.4    15.4 1
-1861  6  7    17.3    17.3    17.3 1
-1861  6  8    17.3    17.3    17.3 1
-1861  6  9    18.7    18.7    18.7 1
-1861  6 10    19.3    19.3    19.3 1
-1861  6 11    19.2    19.2    19.2 1
-1861  6 12    21.0    21.0    21.0 1
-1861  6 13    20.3    20.3    20.3 1
-1861  6 14    20.9    20.9    20.9 1
-1861  6 15    21.4    21.4    21.4 1
-1861  6 16    12.5    12.5    12.5 1
-1861  6 17    10.0    10.0    10.0 1
-1861  6 18    15.3    15.3    15.3 1
-1861  6 19    11.0    11.0    11.0 1
-1861  6 20    14.6    14.6    14.6 1
-1861  6 21    12.5    12.5    12.5 1
-1861  6 22    13.5    13.5    13.5 1
-1861  6 23    15.0    15.0    15.0 1
-1861  6 24    15.6    15.6    15.6 1
-1861  6 25    13.5    13.5    13.5 1
-1861  6 26    13.7    13.7    13.7 1
-1861  6 27    15.3    15.3    15.3 1
-1861  6 28    16.9    16.9    16.9 1
-1861  6 29    17.9    17.9    17.9 1
-1861  6 30    15.2    15.2    15.2 1
-1861  7  1    14.3    14.3    14.3 1
-1861  7  2    14.9    14.9    14.9 1
-1861  7  3    15.2    15.2    15.2 1
-1861  7  4    15.3    15.3    15.3 1
-1861  7  5    16.4    16.4    16.4 1
-1861  7  6    16.4    16.4    16.4 1
-1861  7  7    15.9    15.9    15.9 1
-1861  7  8    17.6    17.6    17.6 1
-1861  7  9    17.5    17.5    17.5 1
-1861  7 10    18.0    18.0    18.0 1
-1861  7 11    18.7    18.7    18.7 1
-1861  7 12    18.1    18.1    18.1 1
-1861  7 13    19.9    19.9    19.9 1
-1861  7 14    21.8    21.8    21.8 1
-1861  7 15    22.5    22.5    22.5 1
-1861  7 16    19.2    19.2    19.2 1
-1861  7 17    18.1    18.1    18.1 1
-1861  7 18    17.8    17.8    17.8 1
-1861  7 19    16.8    16.8    16.8 1
-1861  7 20    18.6    18.6    18.6 1
-1861  7 21    20.5    20.5    20.5 1
-1861  7 22    21.2    21.2    21.2 1
-1861  7 23    20.8    20.8    20.8 1
-1861  7 24    21.9    21.9    21.9 1
-1861  7 25    19.5    19.5    19.5 1
-1861  7 26    21.3    21.3    21.3 1
-1861  7 27    19.6    19.6    19.6 1
-1861  7 28    17.4    17.4    17.4 1
-1861  7 29    14.8    14.8    14.8 1
-1861  7 30    15.4    15.4    15.4 1
-1861  7 31    16.9    16.9    16.9 1
-1861  8  1    16.3    16.3    16.3 1
-1861  8  2    17.0    17.0    17.0 1
-1861  8  3    19.5    19.5    19.5 1
-1861  8  4    16.5    16.5    16.5 1
-1861  8  5    17.9    17.9    17.9 1
-1861  8  6    15.7    15.7    15.7 1
-1861  8  7    16.7    16.7    16.7 1
-1861  8  8    16.3    16.3    16.3 1
-1861  8  9    15.2    15.2    15.2 1
-1861  8 10    17.4    17.4    17.4 1
-1861  8 11    15.7    15.7    15.7 1
-1861  8 12    16.8    16.8    16.8 1
-1861  8 13    18.1    18.1    18.1 1
-1861  8 14    14.3    14.3    14.3 1
-1861  8 15    14.4    14.4    14.4 1
-1861  8 16    16.1    16.1    16.1 1
-1861  8 17    16.3    16.3    16.3 1
-1861  8 18    16.2    16.2    16.2 1
-1861  8 19    15.7    15.7    15.7 1
-1861  8 20    16.6    16.6    16.6 1
-1861  8 21    14.9    14.9    14.9 1
-1861  8 22    12.1    12.1    12.1 1
-1861  8 23    13.2    13.2    13.2 1
-1861  8 24    11.9    11.9    11.9 1
-1861  8 25    12.7    12.7    12.7 1
-1861  8 26    13.2    13.2    13.2 1
-1861  8 27    12.7    12.7    12.7 1
-1861  8 28    11.3    11.3    11.3 1
-1861  8 29    14.6    14.6    14.6 1
-1861  8 30    14.6    14.6    14.6 1
-1861  8 31    11.3    11.3    11.3 1
-1861  9  1    11.7    11.7    11.7 1
-1861  9  2    11.6    11.6    11.6 1
-1861  9  3    12.5    12.5    12.5 1
-1861  9  4    13.2    13.2    13.2 1
-1861  9  5    11.3    11.3    11.3 1
-1861  9  6    11.2    11.2    11.2 1
-1861  9  7    11.0    11.0    11.0 1
-1861  9  8    12.1    12.1    12.1 1
-1861  9  9    10.2    10.2    10.2 1
-1861  9 10    11.0    11.0    11.0 1
-1861  9 11    10.0    10.0    10.0 1
-1861  9 12    10.1    10.1    10.1 1
-1861  9 13    11.8    11.8    11.8 1
-1861  9 14    12.2    12.2    12.2 1
-1861  9 15    12.6    12.6    12.6 1
-1861  9 16    11.8    11.8    11.8 1
-1861  9 17    10.6    10.6    10.6 1
-1861  9 18     7.1     7.1     7.1 1
-1861  9 19     6.1     6.1     6.1 1
-1861  9 20     6.6     6.6     6.6 1
-1861  9 21     7.1     7.1     7.1 1
-1861  9 22     8.7     8.7     8.7 1
-1861  9 23     7.3     7.3     7.3 1
-1861  9 24     4.6     4.6     4.6 1
-1861  9 25     5.9     5.9     5.9 1
-1861  9 26    11.1    11.1    11.1 1
-1861  9 27    10.8    10.8    10.8 1
-1861  9 28     9.5     9.5     9.5 1
-1861  9 29     8.4     8.4     8.4 1
-1861  9 30    10.5    10.5    10.5 1
-1861 10  1     9.8     9.8     9.8 1
-1861 10  2    10.2    10.2    10.2 1
-1861 10  3    10.9    10.9    10.9 1
-1861 10  4     8.2     8.2     8.2 1
-1861 10  5     8.1     8.1     8.1 1
-1861 10  6     9.9     9.9     9.9 1
-1861 10  7     7.3     7.3     7.3 1
-1861 10  8    10.0    10.0    10.0 1
-1861 10  9    12.8    12.8    12.8 1
-1861 10 10    11.0    11.0    11.0 1
-1861 10 11     7.9     7.9     7.9 1
-1861 10 12    11.0    11.0    11.0 1
-1861 10 13     9.4     9.4     9.4 1
-1861 10 14     9.8     9.8     9.8 1
-1861 10 15    10.2    10.2    10.2 1
-1861 10 16    10.6    10.6    10.6 1
-1861 10 17     5.0     5.0     5.0 1
-1861 10 18     3.4     3.4     3.4 1
-1861 10 19     4.7     4.7     4.7 1
-1861 10 20     6.0     6.0     6.0 1
-1861 10 21     7.3     7.3     7.3 1
-1861 10 22     9.3     9.3     9.3 1
-1861 10 23     8.9     8.9     8.9 1
-1861 10 24     9.0     9.0     9.0 1
-1861 10 25     7.1     7.1     7.1 1
-1861 10 26     7.4     7.4     7.4 1
-1861 10 27     5.3     5.3     5.3 1
-1861 10 28     3.4     3.4     3.4 1
-1861 10 29     5.1     5.1     5.1 1
-1861 10 30     5.3     5.3     5.3 1
-1861 10 31     6.3     6.3     6.3 1
-1861 11  1     5.6     5.6     5.6 1
-1861 11  2     4.8     4.8     4.8 1
-1861 11  3     3.9     3.9     3.9 1
-1861 11  4     1.6     1.6     1.6 1
-1861 11  5     0.4     0.4     0.4 1
-1861 11  6     0.4     0.4     0.4 1
-1861 11  7     3.2     3.2     3.2 1
-1861 11  8     3.3     3.3     3.3 1
-1861 11  9     3.8     3.8     3.8 1
-1861 11 10    -1.1    -1.1    -1.1 1
-1861 11 11    -1.7    -1.7    -1.7 1
-1861 11 12    -0.5    -0.5    -0.5 1
-1861 11 13    -0.9    -0.9    -0.9 1
-1861 11 14    -0.9    -0.9    -0.9 1
-1861 11 15    -3.5    -3.5    -3.5 1
-1861 11 16    -7.1    -7.1    -7.1 1
-1861 11 17    -9.4    -9.4    -9.4 1
-1861 11 18    -9.1    -9.1    -9.1 1
-1861 11 19     1.5     1.5     1.5 1
-1861 11 20     2.7     2.7     2.7 1
-1861 11 21     4.0     4.0     4.0 1
-1861 11 22     5.1     5.1     5.1 1
-1861 11 23     2.4     2.4     2.4 1
-1861 11 24    -3.8    -3.8    -3.8 1
-1861 11 25    -1.3    -1.3    -1.3 1
-1861 11 26     2.3     2.3     2.3 1
-1861 11 27     2.6     2.6     2.6 1
-1861 11 28     1.1     1.1     1.1 1
-1861 11 29     2.0     2.0     2.0 1
-1861 11 30     6.5     6.5     6.5 1
-1861 12  1     2.8     2.8     2.8 1
-1861 12  2     0.1     0.1     0.1 1
-1861 12  3    -2.2    -2.2    -2.2 1
-1861 12  4    -2.9    -2.9    -2.9 1
-1861 12  5    -1.2    -1.2    -1.2 1
-1861 12  6    -0.1    -0.1    -0.1 1
-1861 12  7    -1.8    -1.8    -1.8 1
-1861 12  8     0.3     0.3     0.3 1
-1861 12  9     2.3     2.3     2.3 1
-1861 12 10     2.7     2.7     2.7 1
-1861 12 11     2.7     2.7     2.7 1
-1861 12 12     1.9     1.9     1.9 1
-1861 12 13     4.1     4.1     4.1 1
-1861 12 14     4.5     4.5     4.5 1
-1861 12 15     2.2     2.2     2.2 1
-1861 12 16     2.3     2.3     2.3 1
-1861 12 17     0.4     0.4     0.4 1
-1861 12 18     0.7     0.7     0.7 1
-1861 12 19    -1.5    -1.5    -1.5 1
-1861 12 20    -1.3    -1.3    -1.3 1
-1861 12 21     1.9     1.9     1.9 1
-1861 12 22    -0.6    -0.6    -0.6 1
-1861 12 23    -2.9    -2.9    -2.9 1
-1861 12 24    -0.1    -0.1    -0.1 1
-1861 12 25    -3.3    -3.3    -3.3 1
-1861 12 26     0.2     0.2     0.2 1
-1861 12 27    -2.0    -2.0    -2.0 1
-1861 12 28    -0.2    -0.2    -0.2 1
-1861 12 29    -1.1    -1.1    -1.1 1
-1861 12 30    -6.0    -6.0    -6.0 1
-1861 12 31     1.2     1.2     1.2 1
-1862  1  1    -7.3    -7.3    -7.3 1
-1862  1  2   -11.2   -11.2   -11.2 1
-1862  1  3    -8.4    -8.4    -8.4 1
-1862  1  4    -6.2    -6.2    -6.2 1
-1862  1  5   -14.6   -14.6   -14.6 1
-1862  1  6   -12.3   -12.3   -12.3 1
-1862  1  7    -4.1    -4.1    -4.1 1
-1862  1  8    -8.2    -8.2    -8.2 1
-1862  1  9    -1.6    -1.6    -1.6 1
-1862  1 10     0.6     0.6     0.6 1
-1862  1 11    -2.4    -2.4    -2.4 1
-1862  1 12    -5.2    -5.2    -5.2 1
-1862  1 13   -11.5   -11.5   -11.5 1
-1862  1 14   -10.0   -10.0   -10.0 1
-1862  1 15   -14.8   -14.8   -14.8 1
-1862  1 16   -15.5   -15.5   -15.5 1
-1862  1 17   -16.3   -16.3   -16.3 1
-1862  1 18   -19.6   -19.6   -19.6 1
-1862  1 19   -15.7   -15.7   -15.7 1
-1862  1 20    -9.8    -9.8    -9.8 1
-1862  1 21    -7.0    -7.0    -7.0 1
-1862  1 22    -2.9    -2.9    -2.9 1
-1862  1 23    -1.4    -1.4    -1.4 1
-1862  1 24    -0.8    -0.8    -0.8 1
-1862  1 25    -2.8    -2.8    -2.8 1
-1862  1 26    -4.2    -4.2    -4.2 1
-1862  1 27    -6.0    -6.0    -6.0 1
-1862  1 28    -3.5    -3.5    -3.5 1
-1862  1 29     0.0     0.0     0.0 1
-1862  1 30     0.6     0.6     0.6 1
-1862  1 31    -2.1    -2.1    -2.1 1
-1862  2  1    -8.9    -8.9    -8.9 1
-1862  2  2   -11.7   -11.7   -11.7 1
-1862  2  3    -7.1    -7.1    -7.1 1
-1862  2  4    -6.2    -6.2    -6.2 1
-1862  2  5   -13.2   -13.2   -13.2 1
-1862  2  6   -14.7   -14.7   -14.7 1
-1862  2  7   -19.9   -19.9   -19.9 1
-1862  2  8   -14.6   -14.6   -14.6 1
-1862  2  9    -9.7    -9.7    -9.7 1
-1862  2 10    -3.9    -3.9    -3.9 1
-1862  2 11    -3.0    -3.0    -3.0 1
-1862  2 12    -5.3    -5.3    -5.3 1
-1862  2 13   -12.1   -12.1   -12.1 1
-1862  2 14   -12.8   -12.8   -12.8 1
-1862  2 15    -5.9    -5.9    -5.9 1
-1862  2 16    -7.6    -7.6    -7.6 1
-1862  2 17    -5.9    -5.9    -5.9 1
-1862  2 18    -7.4    -7.4    -7.4 1
-1862  2 19    -1.9    -1.9    -1.9 1
-1862  2 20    -1.5    -1.5    -1.5 1
-1862  2 21    -0.3    -0.3    -0.3 1
-1862  2 22    -0.2    -0.2    -0.2 1
-1862  2 23    -1.4    -1.4    -1.4 1
-1862  2 24    -0.1    -0.1    -0.1 1
-1862  2 25    -1.1    -1.1    -1.1 1
-1862  2 26    -5.5    -5.5    -5.5 1
-1862  2 27    -4.9    -4.9    -4.9 1
-1862  2 28    -2.5    -2.5    -2.5 1
-1862  3  1    -7.9    -7.9    -7.9 1
-1862  3  2    -9.7    -9.7    -9.7 1
-1862  3  3    -9.5    -9.5    -9.5 1
-1862  3  4   -14.8   -14.8   -14.8 1
-1862  3  5    -9.0    -9.0    -9.0 1
-1862  3  6    -2.1    -2.1    -2.1 1
-1862  3  7     0.0     0.0     0.0 1
-1862  3  8     1.3     1.3     1.3 1
-1862  3  9    -2.3    -2.3    -2.3 1
-1862  3 10    -0.6    -0.6    -0.6 1
-1862  3 11     0.9     0.9     0.9 1
-1862  3 12    -1.0    -1.0    -1.0 1
-1862  3 13     0.2     0.2     0.2 1
-1862  3 14     0.3     0.3     0.3 1
-1862  3 15    -1.0    -1.0    -1.0 1
-1862  3 16    -0.4    -0.4    -0.4 1
-1862  3 17     0.4     0.4     0.4 1
-1862  3 18    -2.1    -2.1    -2.1 1
-1862  3 19    -3.2    -3.2    -3.2 1
-1862  3 20    -7.8    -7.8    -7.8 1
-1862  3 21    -9.3    -9.3    -9.3 1
-1862  3 22   -10.7   -10.7   -10.7 1
-1862  3 23    -9.5    -9.5    -9.5 1
-1862  3 24    -7.8    -7.8    -7.8 1
-1862  3 25    -6.4    -6.4    -6.4 1
-1862  3 26    -5.1    -5.1    -5.1 1
-1862  3 27    -4.1    -4.1    -4.1 1
-1862  3 28    -2.5    -2.5    -2.5 1
-1862  3 29    -4.9    -4.9    -4.9 1
-1862  3 30    -4.5    -4.5    -4.5 1
-1862  3 31    -4.3    -4.3    -4.3 1
-1862  4  1    -1.4    -1.4    -1.4 1
-1862  4  2     0.9     0.9     0.9 1
-1862  4  3     5.5     5.5     5.5 1
-1862  4  4     4.2     4.2     4.2 1
-1862  4  5     0.2     0.2     0.2 1
-1862  4  6     1.8     1.8     1.8 1
-1862  4  7     2.0     2.0     2.0 1
-1862  4  8     1.2     1.2     1.2 1
-1862  4  9     3.3     3.3     3.3 1
-1862  4 10     3.1     3.1     3.1 1
-1862  4 11     1.9     1.9     1.9 1
-1862  4 12     0.0     0.0     0.0 1
-1862  4 13     0.7     0.7     0.7 1
-1862  4 14    -0.4    -0.4    -0.4 1
-1862  4 15     0.3     0.3     0.3 1
-1862  4 16    -0.3    -0.3    -0.3 1
-1862  4 17    -0.7    -0.7    -0.7 1
-1862  4 18     1.8     1.8     1.8 1
-1862  4 19     2.0     2.0     2.0 1
-1862  4 20     2.9     2.9     2.9 1
-1862  4 21     2.7     2.7     2.7 1
-1862  4 22     4.2     4.2     4.2 1
-1862  4 23     3.4     3.4     3.4 1
-1862  4 24     5.7     5.7     5.7 1
-1862  4 25     7.4     7.4     7.4 1
-1862  4 26     7.5     7.5     7.5 1
-1862  4 27     5.2     5.2     5.2 1
-1862  4 28     5.6     5.6     5.6 1
-1862  4 29     8.0     8.0     8.0 1
-1862  4 30     9.6     9.6     9.6 1
-1862  5  1    12.6    12.6    12.6 1
-1862  5  2    12.7    12.7    12.7 1
-1862  5  3     6.5     6.5     6.5 1
-1862  5  4     7.3     7.3     7.3 1
-1862  5  5     8.7     8.7     8.7 1
-1862  5  6    13.3    13.3    13.3 1
-1862  5  7    12.9    12.9    12.9 1
-1862  5  8    11.0    11.0    11.0 1
-1862  5  9    11.2    11.2    11.2 1
-1862  5 10     8.8     8.8     8.8 1
-1862  5 11     7.2     7.2     7.2 1
-1862  5 12     8.7     8.7     8.7 1
-1862  5 13     8.2     8.2     8.2 1
-1862  5 14     9.2     9.2     9.2 1
-1862  5 15     8.1     8.1     8.1 1
-1862  5 16     8.5     8.5     8.5 1
-1862  5 17    10.5    10.5    10.5 1
-1862  5 18    14.5    14.5    14.5 1
-1862  5 19    15.2    15.2    15.2 1
-1862  5 20    15.9    15.9    15.9 1
-1862  5 21    11.8    11.8    11.8 1
-1862  5 22    12.2    12.2    12.2 1
-1862  5 23     9.4     9.4     9.4 1
-1862  5 24     7.7     7.7     7.7 1
-1862  5 25     6.1     6.1     6.1 1
-1862  5 26     7.8     7.8     7.8 1
-1862  5 27     9.3     9.3     9.3 1
-1862  5 28     8.5     8.5     8.5 1
-1862  5 29    11.9    11.9    11.9 1
-1862  5 30    10.6    10.6    10.6 1
-1862  5 31    11.1    11.1    11.1 1
-1862  6  1    11.6    11.6    11.6 1
-1862  6  2    15.8    15.8    15.8 1
-1862  6  3    15.8    15.8    15.8 1
-1862  6  4    13.9    13.9    13.9 1
-1862  6  5    13.7    13.7    13.7 1
-1862  6  6    13.5    13.5    13.5 1
-1862  6  7    15.8    15.8    15.8 1
-1862  6  8    15.5    15.5    15.5 1
-1862  6  9    14.6    14.6    14.6 1
-1862  6 10    10.7    10.7    10.7 1
-1862  6 11    12.1    12.1    12.1 1
-1862  6 12    12.3    12.3    12.3 1
-1862  6 13    10.2    10.2    10.2 1
-1862  6 14    12.0    12.0    12.0 1
-1862  6 15    13.8    13.8    13.8 1
-1862  6 16    14.9    14.9    14.9 1
-1862  6 17    16.0    16.0    16.0 1
-1862  6 18    15.6    15.6    15.6 1
-1862  6 19    12.8    12.8    12.8 1
-1862  6 20    13.6    13.6    13.6 1
-1862  6 21    11.7    11.7    11.7 1
-1862  6 22    11.9    11.9    11.9 1
-1862  6 23    10.7    10.7    10.7 1
-1862  6 24    10.7    10.7    10.7 1
-1862  6 25    10.0    10.0    10.0 1
-1862  6 26    12.9    12.9    12.9 1
-1862  6 27    11.5    11.5    11.5 1
-1862  6 28    11.2    11.2    11.2 1
-1862  6 29    11.9    11.9    11.9 1
-1862  6 30    12.8    12.8    12.8 1
-1862  7  1    11.9    11.9    11.9 1
-1862  7  2    12.2    12.2    12.2 1
-1862  7  3    11.2    11.2    11.2 1
-1862  7  4    12.6    12.6    12.6 1
-1862  7  5    13.3    13.3    13.3 1
-1862  7  6    14.6    14.6    14.6 1
-1862  7  7    13.2    13.2    13.2 1
-1862  7  8    12.4    12.4    12.4 1
-1862  7  9    12.1    12.1    12.1 1
-1862  7 10    14.7    14.7    14.7 1
-1862  7 11    14.8    14.8    14.8 1
-1862  7 12    13.9    13.9    13.9 1
-1862  7 13    15.5    15.5    15.5 1
-1862  7 14    16.6    16.6    16.6 1
-1862  7 15    15.3    15.3    15.3 1
-1862  7 16    16.3    16.3    16.3 1
-1862  7 17    14.2    14.2    14.2 1
-1862  7 18    15.6    15.6    15.6 1
-1862  7 19    16.7    16.7    16.7 1
-1862  7 20    14.3    14.3    14.3 1
-1862  7 21    12.3    12.3    12.3 1
-1862  7 22    13.6    13.6    13.6 1
-1862  7 23    13.3    13.3    13.3 1
-1862  7 24    13.4    13.4    13.4 1
-1862  7 25    13.0    13.0    13.0 1
-1862  7 26    16.2    16.2    16.2 1
-1862  7 27    15.3    15.3    15.3 1
-1862  7 28    15.4    15.4    15.4 1
-1862  7 29    14.0    14.0    14.0 1
-1862  7 30    14.7    14.7    14.7 1
-1862  7 31    12.6    12.6    12.6 1
-1862  8  1    12.7    12.7    12.7 1
-1862  8  2    15.1    15.1    15.1 1
-1862  8  3    15.1    15.1    15.1 1
-1862  8  4    13.3    13.3    13.3 1
-1862  8  5    14.9    14.9    14.9 1
-1862  8  6    15.0    15.0    15.0 1
-1862  8  7    15.6    15.6    15.6 1
-1862  8  8    14.2    14.2    14.2 1
-1862  8  9    14.7    14.7    14.7 1
-1862  8 10    15.7    15.7    15.7 1
-1862  8 11    13.8    13.8    13.8 1
-1862  8 12    13.1    13.1    13.1 1
-1862  8 13    12.3    12.3    12.3 1
-1862  8 14    12.2    12.2    12.2 1
-1862  8 15    14.1    14.1    14.1 1
-1862  8 16    15.8    15.8    15.8 1
-1862  8 17    10.6    10.6    10.6 1
-1862  8 18    12.4    12.4    12.4 1
-1862  8 19    15.0    15.0    15.0 1
-1862  8 20    17.2    17.2    17.2 1
-1862  8 21    16.1    16.1    16.1 1
-1862  8 22    16.3    16.3    16.3 1
-1862  8 23    17.9    17.9    17.9 1
-1862  8 24    14.0    14.0    14.0 1
-1862  8 25    10.8    10.8    10.8 1
-1862  8 26    10.7    10.7    10.7 1
-1862  8 27    12.8    12.8    12.8 1
-1862  8 28    11.5    11.5    11.5 1
-1862  8 29    12.3    12.3    12.3 1
-1862  8 30    11.7    11.7    11.7 1
-1862  8 31    10.7    10.7    10.7 1
-1862  9  1    11.0    11.0    11.0 1
-1862  9  2    12.1    12.1    12.1 1
-1862  9  3    13.7    13.7    13.7 1
-1862  9  4    15.7    15.7    15.7 1
-1862  9  5    15.6    15.6    15.6 1
-1862  9  6    15.7    15.7    15.7 1
-1862  9  7    14.2    14.2    14.2 1
-1862  9  8    16.2    16.2    16.2 1
-1862  9  9    14.9    14.9    14.9 1
-1862  9 10    14.6    14.6    14.6 1
-1862  9 11    12.1    12.1    12.1 1
-1862  9 12     8.7     8.7     8.7 1
-1862  9 13    11.7    11.7    11.7 1
-1862  9 14    13.5    13.5    13.5 1
-1862  9 15    14.1    14.1    14.1 1
-1862  9 16    13.9    13.9    13.9 1
-1862  9 17     9.4     9.4     9.4 1
-1862  9 18    10.1    10.1    10.1 1
-1862  9 19    14.5    14.5    14.5 1
-1862  9 20     8.8     8.8     8.8 1
-1862  9 21     4.7     4.7     4.7 1
-1862  9 22     4.4     4.4     4.4 1
-1862  9 23     5.5     5.5     5.5 1
-1862  9 24     5.7     5.7     5.7 1
-1862  9 25     5.5     5.5     5.5 1
-1862  9 26     6.3     6.3     6.3 1
-1862  9 27     5.8     5.8     5.8 1
-1862  9 28    10.4    10.4    10.4 1
-1862  9 29    10.3    10.3    10.3 1
-1862  9 30    11.0    11.0    11.0 1
-1862 10  1    12.3    12.3    12.3 1
-1862 10  2    12.5    12.5    12.5 1
-1862 10  3    13.0    13.0    13.0 1
-1862 10  4     9.4     9.4     9.4 1
-1862 10  5     7.8     7.8     7.8 1
-1862 10  6     6.8     6.8     6.8 1
-1862 10  7     8.9     8.9     8.9 1
-1862 10  8    10.1    10.1    10.1 1
-1862 10  9    10.3    10.3    10.3 1
-1862 10 10    10.5    10.5    10.5 1
-1862 10 11     9.3     9.3     9.3 1
-1862 10 12     5.0     5.0     5.0 1
-1862 10 13     2.5     2.5     2.5 1
-1862 10 14     1.0     1.0     1.0 1
-1862 10 15     1.2     1.2     1.2 1
-1862 10 16     8.3     8.3     8.3 1
-1862 10 17     8.5     8.5     8.5 1
-1862 10 18     8.1     8.1     8.1 1
-1862 10 19     7.3     7.3     7.3 1
-1862 10 20     6.2     6.2     6.2 1
-1862 10 21     6.2     6.2     6.2 1
-1862 10 22     7.3     7.3     7.3 1
-1862 10 23     7.0     7.0     7.0 1
-1862 10 24     6.1     6.1     6.1 1
-1862 10 25     5.2     5.2     5.2 1
-1862 10 26     8.1     8.1     8.1 1
-1862 10 27     8.3     8.3     8.3 1
-1862 10 28     8.5     8.5     8.5 1
-1862 10 29     6.8     6.8     6.8 1
-1862 10 30     3.0     3.0     3.0 1
-1862 10 31     3.4     3.4     3.4 1
-1862 11  1     5.3     5.3     5.3 1
-1862 11  2     5.7     5.7     5.7 1
-1862 11  3     5.4     5.4     5.4 1
-1862 11  4     5.9     5.9     5.9 1
-1862 11  5     5.5     5.5     5.5 1
-1862 11  6     4.1     4.1     4.1 1
-1862 11  7     2.9     2.9     2.9 1
-1862 11  8     2.2     2.2     2.2 1
-1862 11  9     3.7     3.7     3.7 1
-1862 11 10     6.6     6.6     6.6 1
-1862 11 11     6.4     6.4     6.4 1
-1862 11 12     5.3     5.3     5.3 1
-1862 11 13     5.3     5.3     5.3 1
-1862 11 14     4.7     4.7     4.7 1
-1862 11 15     3.5     3.5     3.5 1
-1862 11 16     2.2     2.2     2.2 1
-1862 11 17     1.0     1.0     1.0 1
-1862 11 18     0.6     0.6     0.6 1
-1862 11 19     1.6     1.6     1.6 1
-1862 11 20     0.2     0.2     0.2 1
-1862 11 21    -1.0    -1.0    -1.0 1
-1862 11 22     0.0     0.0     0.0 1
-1862 11 23     0.0     0.0     0.0 1
-1862 11 24     0.9     0.9     0.9 1
-1862 11 25     1.0     1.0     1.0 1
-1862 11 26     2.1     2.1     2.1 1
-1862 11 27     1.5     1.5     1.5 1
-1862 11 28     2.1     2.1     2.1 1
-1862 11 29     1.5     1.5     1.5 1
-1862 11 30     0.7     0.7     0.7 1
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-1862 12  4    -1.1    -1.1    -1.1 1
-1862 12  5    -3.1    -3.1    -3.1 1
-1862 12  6    -3.5    -3.5    -3.5 1
-1862 12  7    -1.8    -1.8    -1.8 1
-1862 12  8    -3.2    -3.2    -3.2 1
-1862 12  9    -5.4    -5.4    -5.4 1
-1862 12 10    -7.1    -7.1    -7.1 1
-1862 12 11    -6.9    -6.9    -6.9 1
-1862 12 12    -6.2    -6.2    -6.2 1
-1862 12 13    -5.0    -5.0    -5.0 1
-1862 12 14    -2.6    -2.6    -2.6 1
-1862 12 15     1.4     1.4     1.4 1
-1862 12 16     2.2     2.2     2.2 1
-1862 12 17     1.5     1.5     1.5 1
-1862 12 18    -1.5    -1.5    -1.5 1
-1862 12 19     0.7     0.7     0.7 1
-1862 12 20     1.8     1.8     1.8 1
-1862 12 21    -2.9    -2.9    -2.9 1
-1862 12 22    -4.5    -4.5    -4.5 1
-1862 12 23    -2.8    -2.8    -2.8 1
-1862 12 24    -0.9    -0.9    -0.9 1
-1862 12 25     3.0     3.0     3.0 1
-1862 12 26     1.5     1.5     1.5 1
-1862 12 27    -3.7    -3.7    -3.7 1
-1862 12 28    -1.5    -1.5    -1.5 1
-1862 12 29    -2.7    -2.7    -2.7 1
-1862 12 30     2.5     2.5     2.5 1
-1862 12 31     2.7     2.7     2.7 1
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-1863  1  2     5.2     5.2     5.2 1
-1863  1  3     3.3     3.3     3.3 1
-1863  1  4     1.8     1.8     1.8 1
-1863  1  5     2.0     2.0     2.0 1
-1863  1  6     2.1     2.1     2.1 1
-1863  1  7     0.8     0.8     0.8 1
-1863  1  8     0.6     0.6     0.6 1
-1863  1  9    -0.4    -0.4    -0.4 1
-1863  1 10    -0.6    -0.6    -0.6 1
-1863  1 11     0.1     0.1     0.1 1
-1863  1 12    -1.0    -1.0    -1.0 1
-1863  1 13    -1.1    -1.1    -1.1 1
-1863  1 14    -0.8    -0.8    -0.8 1
-1863  1 15     1.4     1.4     1.4 1
-1863  1 16     3.9     3.9     3.9 1
-1863  1 17     0.6     0.6     0.6 1
-1863  1 18     0.3     0.3     0.3 1
-1863  1 19    -0.2    -0.2    -0.2 1
-1863  1 20    -0.7    -0.7    -0.7 1
-1863  1 21    -6.2    -6.2    -6.2 1
-1863  1 22    -7.1    -7.1    -7.1 1
-1863  1 23     2.4     2.4     2.4 1
-1863  1 24     2.9     2.9     2.9 1
-1863  1 25     2.5     2.5     2.5 1
-1863  1 26     4.3     4.3     4.3 1
-1863  1 27     4.4     4.4     4.4 1
-1863  1 28     0.3     0.3     0.3 1
-1863  1 29    -1.9    -1.9    -1.9 1
-1863  1 30     3.0     3.0     3.0 1
-1863  1 31     3.2     3.2     3.2 1
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-1863  2  2    -1.7    -1.7    -1.7 1
-1863  2  3     2.9     2.9     2.9 1
-1863  2  4     3.3     3.3     3.3 1
-1863  2  5     2.5     2.5     2.5 1
-1863  2  6     4.6     4.6     4.6 1
-1863  2  7     4.2     4.2     4.2 1
-1863  2  8    -0.5    -0.5    -0.5 1
-1863  2  9    -6.2    -6.2    -6.2 1
-1863  2 10    -1.7    -1.7    -1.7 1
-1863  2 11     2.2     2.2     2.2 1
-1863  2 12     3.8     3.8     3.8 1
-1863  2 13     0.8     0.8     0.8 1
-1863  2 14    -0.7    -0.7    -0.7 1
-1863  2 15    -1.4    -1.4    -1.4 1
-1863  2 16    -0.6    -0.6    -0.6 1
-1863  2 17     2.1     2.1     2.1 1
-1863  2 18     4.1     4.1     4.1 1
-1863  2 19    -1.8    -1.8    -1.8 1
-1863  2 20    -1.6    -1.6    -1.6 1
-1863  2 21     1.2     1.2     1.2 1
-1863  2 22     1.4     1.4     1.4 1
-1863  2 23    -1.9    -1.9    -1.9 1
-1863  2 24    -0.3    -0.3    -0.3 1
-1863  2 25     0.7     0.7     0.7 1
-1863  2 26     2.7     2.7     2.7 1
-1863  2 27     5.2     5.2     5.2 1
-1863  2 28     5.8     5.8     5.8 1
-1863  3  1     1.6     1.6     1.6 1
-1863  3  2     0.4     0.4     0.4 1
-1863  3  3     3.2     3.2     3.2 1
-1863  3  4     1.8     1.8     1.8 1
-1863  3  5     1.7     1.7     1.7 1
-1863  3  6     1.3     1.3     1.3 1
-1863  3  7    -0.5    -0.5    -0.5 1
-1863  3  8    -5.7    -5.7    -5.7 1
-1863  3  9   -11.5   -11.5   -11.5 1
-1863  3 10    -7.9    -7.9    -7.9 1
-1863  3 11    -4.8    -4.8    -4.8 1
-1863  3 12     0.5     0.5     0.5 1
-1863  3 13     0.1     0.1     0.1 1
-1863  3 14     1.5     1.5     1.5 1
-1863  3 15     2.0     2.0     2.0 1
-1863  3 16     1.0     1.0     1.0 1
-1863  3 17     0.2     0.2     0.2 1
-1863  3 18     0.1     0.1     0.1 1
-1863  3 19     0.3     0.3     0.3 1
-1863  3 20     1.1     1.1     1.1 1
-1863  3 21     1.4     1.4     1.4 1
-1863  3 22     2.2     2.2     2.2 1
-1863  3 23     5.2     5.2     5.2 1
-1863  3 24     0.9     0.9     0.9 1
-1863  3 25     4.1     4.1     4.1 1
-1863  3 26     4.1     4.1     4.1 1
-1863  3 27     1.2     1.2     1.2 1
-1863  3 28    -1.3    -1.3    -1.3 1
-1863  3 29    -3.7    -3.7    -3.7 1
-1863  3 30    -3.7    -3.7    -3.7 1
-1863  3 31    -3.4    -3.4    -3.4 1
-1863  4  1    -0.2    -0.2    -0.2 1
-1863  4  2    -1.3    -1.3    -1.3 1
-1863  4  3    -0.7    -0.7    -0.7 1
-1863  4  4     0.4     0.4     0.4 1
-1863  4  5     1.0     1.0     1.0 1
-1863  4  6     5.3     5.3     5.3 1
-1863  4  7     7.3     7.3     7.3 1
-1863  4  8     5.8     5.8     5.8 1
-1863  4  9     3.3     3.3     3.3 1
-1863  4 10     3.7     3.7     3.7 1
-1863  4 11     4.4     4.4     4.4 1
-1863  4 12     5.0     5.0     5.0 1
-1863  4 13     5.4     5.4     5.4 1
-1863  4 14     5.3     5.3     5.3 1
-1863  4 15     6.1     6.1     6.1 1
-1863  4 16     6.4     6.4     6.4 1
-1863  4 17     5.7     5.7     5.7 1
-1863  4 18     6.7     6.7     6.7 1
-1863  4 19     6.7     6.7     6.7 1
-1863  4 20     7.8     7.8     7.8 1
-1863  4 21     6.9     6.9     6.9 1
-1863  4 22     5.5     5.5     5.5 1
-1863  4 23     3.8     3.8     3.8 1
-1863  4 24     2.0     2.0     2.0 1
-1863  4 25     0.2     0.2     0.2 1
-1863  4 26     0.3     0.3     0.3 1
-1863  4 27     0.7     0.7     0.7 1
-1863  4 28     4.3     4.3     4.3 1
-1863  4 29     3.2     3.2     3.2 1
-1863  4 30     2.2     2.2     2.2 1
-1863  5  1     3.7     3.7     3.7 1
-1863  5  2     7.8     7.8     7.8 1
-1863  5  3     9.5     9.5     9.5 1
-1863  5  4     9.9     9.9     9.9 1
-1863  5  5    10.5    10.5    10.5 1
-1863  5  6     4.5     4.5     4.5 1
-1863  5  7     8.6     8.6     8.6 1
-1863  5  8     4.4     4.4     4.4 1
-1863  5  9     8.9     8.9     8.9 1
-1863  5 10     9.1     9.1     9.1 1
-1863  5 11     6.7     6.7     6.7 1
-1863  5 12     8.6     8.6     8.6 1
-1863  5 13    11.9    11.9    11.9 1
-1863  5 14    13.2    13.2    13.2 1
-1863  5 15    11.4    11.4    11.4 1
-1863  5 16    11.3    11.3    11.3 1
-1863  5 17    11.9    11.9    11.9 1
-1863  5 18    11.6    11.6    11.6 1
-1863  5 19     6.6     6.6     6.6 1
-1863  5 20     5.0     5.0     5.0 1
-1863  5 21     5.6     5.6     5.6 1
-1863  5 22     5.6     5.6     5.6 1
-1863  5 23     5.9     5.9     5.9 1
-1863  5 24     6.4     6.4     6.4 1
-1863  5 25     7.0     7.0     7.0 1
-1863  5 26    11.1    11.1    11.1 1
-1863  5 27     5.2     5.2     5.2 1
-1863  5 28     7.3     7.3     7.3 1
-1863  5 29     8.0     8.0     8.0 1
-1863  5 30     8.3     8.3     8.3 1
-1863  5 31     6.3     6.3     6.3 1
-1863  6  1     5.2     5.2     5.2 1
-1863  6  2     9.0     9.0     9.0 1
-1863  6  3    10.4    10.4    10.4 1
-1863  6  4    11.0    11.0    11.0 1
-1863  6  5    11.3    11.3    11.3 1
-1863  6  6    12.4    12.4    12.4 1
-1863  6  7    10.5    10.5    10.5 1
-1863  6  8    12.1    12.1    12.1 1
-1863  6  9    13.4    13.4    13.4 1
-1863  6 10    14.2    14.2    14.2 1
-1863  6 11    14.9    14.9    14.9 1
-1863  6 12    17.3    17.3    17.3 1
-1863  6 13    17.2    17.2    17.2 1
-1863  6 14    12.8    12.8    12.8 1
-1863  6 15    16.0    16.0    16.0 1
-1863  6 16    16.1    16.1    16.1 1
-1863  6 17    17.3    17.3    17.3 1
-1863  6 18    16.3    16.3    16.3 1
-1863  6 19    14.8    14.8    14.8 1
-1863  6 20    14.1    14.1    14.1 1
-1863  6 21    16.5    16.5    16.5 1
-1863  6 22    18.5    18.5    18.5 1
-1863  6 23    19.6    19.6    19.6 1
-1863  6 24    19.0    19.0    19.0 1
-1863  6 25    18.8    18.8    18.8 1
-1863  6 26    17.3    17.3    17.3 1
-1863  6 27    14.8    14.8    14.8 1
-1863  6 28    15.0    15.0    15.0 1
-1863  6 29    15.4    15.4    15.4 1
-1863  6 30    14.8    14.8    14.8 1
-1863  7  1    14.9    14.9    14.9 1
-1863  7  2    16.2    16.2    16.2 1
-1863  7  3    15.0    15.0    15.0 1
-1863  7  4     9.3     9.3     9.3 1
-1863  7  5    11.7    11.7    11.7 1
-1863  7  6    14.9    14.9    14.9 1
-1863  7  7    16.3    16.3    16.3 1
-1863  7  8    17.1    17.1    17.1 1
-1863  7  9    16.8    16.8    16.8 1
-1863  7 10    18.6    18.6    18.6 1
-1863  7 11    20.8    20.8    20.8 1
-1863  7 12    21.3    21.3    21.3 1
-1863  7 13    15.5    15.5    15.5 1
-1863  7 14    14.9    14.9    14.9 1
-1863  7 15    11.4    11.4    11.4 1
-1863  7 16     9.1     9.1     9.1 1
-1863  7 17     8.5     8.5     8.5 1
-1863  7 18    10.0    10.0    10.0 1
-1863  7 19    11.0    11.0    11.0 1
-1863  7 20    11.8    11.8    11.8 1
-1863  7 21    12.3    12.3    12.3 1
-1863  7 22    13.4    13.4    13.4 1
-1863  7 23    12.4    12.4    12.4 1
-1863  7 24    11.7    11.7    11.7 1
-1863  7 25    13.7    13.7    13.7 1
-1863  7 26    15.0    15.0    15.0 1
-1863  7 27    18.5    18.5    18.5 1
-1863  7 28    18.2    18.2    18.2 1
-1863  7 29    16.6    16.6    16.6 1
-1863  7 30    13.5    13.5    13.5 1
-1863  7 31    12.1    12.1    12.1 1
-1863  8  1    12.4    12.4    12.4 1
-1863  8  2    14.7    14.7    14.7 1
-1863  8  3    15.5    15.5    15.5 1
-1863  8  4    18.3    18.3    18.3 1
-1863  8  5    15.4    15.4    15.4 1
-1863  8  6    16.1    16.1    16.1 1
-1863  8  7    16.2    16.2    16.2 1
-1863  8  8    15.8    15.8    15.8 1
-1863  8  9    18.2    18.2    18.2 1
-1863  8 10    17.2    17.2    17.2 1
-1863  8 11    16.0    16.0    16.0 1
-1863  8 12    12.9    12.9    12.9 1
-1863  8 13    13.2    13.2    13.2 1
-1863  8 14    12.4    12.4    12.4 1
-1863  8 15    12.7    12.7    12.7 1
-1863  8 16    15.2    15.2    15.2 1
-1863  8 17    14.8    14.8    14.8 1
-1863  8 18    14.4    14.4    14.4 1
-1863  8 19    14.6    14.6    14.6 1
-1863  8 20    13.6    13.6    13.6 1
-1863  8 21    13.5    13.5    13.5 1
-1863  8 22    13.4    13.4    13.4 1
-1863  8 23    11.6    11.6    11.6 1
-1863  8 24    13.7    13.7    13.7 1
-1863  8 25    14.3    14.3    14.3 1
-1863  8 26    14.0    14.0    14.0 1
-1863  8 27    14.6    14.6    14.6 1
-1863  8 28    19.1    19.1    19.1 1
-1863  8 29    17.0    17.0    17.0 1
-1863  8 30    16.8    16.8    16.8 1
-1863  8 31    17.1    17.1    17.1 1
-1863  9  1    16.6    16.6    16.6 1
-1863  9  2    14.8    14.8    14.8 1
-1863  9  3    14.5    14.5    14.5 1
-1863  9  4    15.3    15.3    15.3 1
-1863  9  5    13.7    13.7    13.7 1
-1863  9  6    14.4    14.4    14.4 1
-1863  9  7    13.6    13.6    13.6 1
-1863  9  8    13.3    13.3    13.3 1
-1863  9  9    13.1    13.1    13.1 1
-1863  9 10    13.0    13.0    13.0 1
-1863  9 11    13.9    13.9    13.9 1
-1863  9 12    12.7    12.7    12.7 1
-1863  9 13    11.6    11.6    11.6 1
-1863  9 14     9.1     9.1     9.1 1
-1863  9 15     8.6     8.6     8.6 1
-1863  9 16    10.8    10.8    10.8 1
-1863  9 17     8.6     8.6     8.6 1
-1863  9 18     8.6     8.6     8.6 1
-1863  9 19    10.8    10.8    10.8 1
-1863  9 20    14.0    14.0    14.0 1
-1863  9 21    11.8    11.8    11.8 1
-1863  9 22     8.8     8.8     8.8 1
-1863  9 23    13.2    13.2    13.2 1
-1863  9 24    10.4    10.4    10.4 1
-1863  9 25    11.5    11.5    11.5 1
-1863  9 26    10.8    10.8    10.8 1
-1863  9 27     9.3     9.3     9.3 1
-1863  9 28    10.2    10.2    10.2 1
-1863  9 29     8.9     8.9     8.9 1
-1863  9 30     8.9     8.9     8.9 1
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-1863 10  4    13.3    13.3    13.3 1
-1863 10  5    10.1    10.1    10.1 1
-1863 10  6    12.1    12.1    12.1 1
-1863 10  7     9.3     9.3     9.3 1
-1863 10  8     9.2     9.2     9.2 1
-1863 10  9     8.7     8.7     8.7 1
-1863 10 10     8.0     8.0     8.0 1
-1863 10 11    10.3    10.3    10.3 1
-1863 10 12     9.8     9.8     9.8 1
-1863 10 13    10.1    10.1    10.1 1
-1863 10 14    11.5    11.5    11.5 1
-1863 10 15    11.4    11.4    11.4 1
-1863 10 16    12.1    12.1    12.1 1
-1863 10 17    10.0    10.0    10.0 1
-1863 10 18     7.8     7.8     7.8 1
-1863 10 19    10.2    10.2    10.2 1
-1863 10 20     8.1     8.1     8.1 1
-1863 10 21     5.4     5.4     5.4 1
-1863 10 22     5.8     5.8     5.8 1
-1863 10 23     6.4     6.4     6.4 1
-1863 10 24     1.6     1.6     1.6 1
-1863 10 25     2.1     2.1     2.1 1
-1863 10 26     3.4     3.4     3.4 1
-1863 10 27     5.3     5.3     5.3 1
-1863 10 28     6.2     6.2     6.2 1
-1863 10 29     7.4     7.4     7.4 1
-1863 10 30     6.8     6.8     6.8 1
-1863 10 31     7.8     7.8     7.8 1
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-1863 11 14     3.6     3.6     3.6 1
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-1863 11 16     8.0     8.0     8.0 1
-1863 11 17     4.5     4.5     4.5 1
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-1863 11 22     4.9     4.9     4.9 1
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-1863 11 29     4.9     4.9     4.9 1
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-1864  1 30    -3.6    -3.6    -3.6 1
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-1864  4 15     3.8     3.8     3.8 1
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-1864  4 19     2.5     2.5     2.5 1
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-1864  4 24     6.7     6.7     6.7 1
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-1864  4 26     7.7     7.7     7.7 1
-1864  4 27     7.3     7.3     7.3 1
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-1864  5  4    -0.1    -0.1    -0.1 1
-1864  5  5     0.3     0.3     0.3 1
-1864  5  6     1.5     1.5     1.5 1
-1864  5  7     4.4     4.4     4.4 1
-1864  5  8     4.6     4.6     4.6 1
-1864  5  9     5.2     5.2     5.2 1
-1864  5 10     5.1     5.1     5.1 1
-1864  5 11     5.0     5.0     5.0 1
-1864  5 12     5.5     5.5     5.5 1
-1864  5 13     7.1     7.1     7.1 1
-1864  5 14    11.6    11.6    11.6 1
-1864  5 15     7.1     7.1     7.1 1
-1864  5 16     5.0     5.0     5.0 1
-1864  5 17     9.3     9.3     9.3 1
-1864  5 18    11.2    11.2    11.2 1
-1864  5 19     6.3     6.3     6.3 1
-1864  5 20     7.5     7.5     7.5 1
-1864  5 21     6.1     6.1     6.1 1
-1864  5 22     3.1     3.1     3.1 1
-1864  5 23     2.7     2.7     2.7 1
-1864  5 24     5.9     5.9     5.9 1
-1864  5 25     6.5     6.5     6.5 1
-1864  5 26     4.4     4.4     4.4 1
-1864  5 27     5.7     5.7     5.7 1
-1864  5 28     6.4     6.4     6.4 1
-1864  5 29     6.2     6.2     6.2 1
-1864  5 30     6.5     6.5     6.5 1
-1864  5 31     8.9     8.9     8.9 1
-1864  6  1     8.2     8.2     8.2 1
-1864  6  2     9.0     9.0     9.0 1
-1864  6  3    10.3    10.3    10.3 1
-1864  6  4    10.2    10.2    10.2 1
-1864  6  5    11.0    11.0    11.0 1
-1864  6  6    12.5    12.5    12.5 1
-1864  6  7    14.0    14.0    14.0 1
-1864  6  8    12.4    12.4    12.4 1
-1864  6  9    15.7    15.7    15.7 1
-1864  6 10    15.0    15.0    15.0 1
-1864  6 11    14.0    14.0    14.0 1
-1864  6 12    17.3    17.3    17.3 1
-1864  6 13    18.8    18.8    18.8 1
-1864  6 14    18.6    18.6    18.6 1
-1864  6 15    18.2    18.2    18.2 1
-1864  6 16    20.1    20.1    20.1 1
-1864  6 17    19.9    19.9    19.9 1
-1864  6 18    17.8    17.8    17.8 1
-1864  6 19    16.3    16.3    16.3 1
-1864  6 20    15.6    15.6    15.6 1
-1864  6 21    16.3    16.3    16.3 1
-1864  6 22    17.0    17.0    17.0 1
-1864  6 23    15.4    15.4    15.4 1
-1864  6 24    14.0    14.0    14.0 1
-1864  6 25    13.7    13.7    13.7 1
-1864  6 26    13.5    13.5    13.5 1
-1864  6 27    10.5    10.5    10.5 1
-1864  6 28    12.3    12.3    12.3 1
-1864  6 29    13.4    13.4    13.4 1
-1864  6 30    14.0    14.0    14.0 1
-1864  7  1    13.2    13.2    13.2 1
-1864  7  2    14.0    14.0    14.0 1
-1864  7  3    16.8    16.8    16.8 1
-1864  7  4    14.4    14.4    14.4 1
-1864  7  5    15.0    15.0    15.0 1
-1864  7  6    17.0    17.0    17.0 1
-1864  7  7    18.3    18.3    18.3 1
-1864  7  8    16.2    16.2    16.2 1
-1864  7  9    16.9    16.9    16.9 1
-1864  7 10    18.5    18.5    18.5 1
-1864  7 11    17.3    17.3    17.3 1
-1864  7 12    12.7    12.7    12.7 1
-1864  7 13    13.8    13.8    13.8 1
-1864  7 14    15.5    15.5    15.5 1
-1864  7 15    12.5    12.5    12.5 1
-1864  7 16    15.7    15.7    15.7 1
-1864  7 17    17.4    17.4    17.4 1
-1864  7 18    15.5    15.5    15.5 1
-1864  7 19    11.4    11.4    11.4 1
-1864  7 20    13.8    13.8    13.8 1
-1864  7 21    14.8    14.8    14.8 1
-1864  7 22    17.0    17.0    17.0 1
-1864  7 23    17.1    17.1    17.1 1
-1864  7 24    17.7    17.7    17.7 1
-1864  7 25    17.2    17.2    17.2 1
-1864  7 26    16.8    16.8    16.8 1
-1864  7 27    15.6    15.6    15.6 1
-1864  7 28    16.9    16.9    16.9 1
-1864  7 29    18.1    18.1    18.1 1
-1864  7 30    18.4    18.4    18.4 1
-1864  7 31    17.5    17.5    17.5 1
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-1864  8  2    15.5    15.5    15.5 1
-1864  8  3    14.2    14.2    14.2 1
-1864  8  4    15.3    15.3    15.3 1
-1864  8  5    14.5    14.5    14.5 1
-1864  8  6    14.0    14.0    14.0 1
-1864  8  7    13.3    13.3    13.3 1
-1864  8  8    14.1    14.1    14.1 1
-1864  8  9    14.9    14.9    14.9 1
-1864  8 10    13.0    13.0    13.0 1
-1864  8 11    12.5    12.5    12.5 1
-1864  8 12    10.1    10.1    10.1 1
-1864  8 13    13.2    13.2    13.2 1
-1864  8 14    13.9    13.9    13.9 1
-1864  8 15    16.3    16.3    16.3 1
-1864  8 16    11.6    11.6    11.6 1
-1864  8 17    10.7    10.7    10.7 1
-1864  8 18     8.9     8.9     8.9 1
-1864  8 19    11.4    11.4    11.4 1
-1864  8 20    12.7    12.7    12.7 1
-1864  8 21     9.0     9.0     9.0 1
-1864  8 22     9.4     9.4     9.4 1
-1864  8 23    11.2    11.2    11.2 1
-1864  8 24    10.2    10.2    10.2 1
-1864  8 25     9.5     9.5     9.5 1
-1864  8 26     7.2     7.2     7.2 1
-1864  8 27     7.3     7.3     7.3 1
-1864  8 28     9.0     9.0     9.0 1
-1864  8 29    10.0    10.0    10.0 1
-1864  8 30     9.7     9.7     9.7 1
-1864  8 31    12.1    12.1    12.1 1
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-1864  9  2    11.5    11.5    11.5 1
-1864  9  3     9.5     9.5     9.5 1
-1864  9  4     9.5     9.5     9.5 1
-1864  9  5    10.6    10.6    10.6 1
-1864  9  6    10.9    10.9    10.9 1
-1864  9  7    11.2    11.2    11.2 1
-1864  9  8    10.9    10.9    10.9 1
-1864  9  9    11.8    11.8    11.8 1
-1864  9 10    14.3    14.3    14.3 1
-1864  9 11    11.1    11.1    11.1 1
-1864  9 12    10.8    10.8    10.8 1
-1864  9 13    11.2    11.2    11.2 1
-1864  9 14    10.4    10.4    10.4 1
-1864  9 15    10.7    10.7    10.7 1
-1864  9 16     9.6     9.6     9.6 1
-1864  9 17    11.0    11.0    11.0 1
-1864  9 18    12.2    12.2    12.2 1
-1864  9 19    12.0    12.0    12.0 1
-1864  9 20    11.4    11.4    11.4 1
-1864  9 21    10.9    10.9    10.9 1
-1864  9 22    12.3    12.3    12.3 1
-1864  9 23    12.6    12.6    12.6 1
-1864  9 24    11.4    11.4    11.4 1
-1864  9 25    10.4    10.4    10.4 1
-1864  9 26     7.1     7.1     7.1 1
-1864  9 27     5.9     5.9     5.9 1
-1864  9 28    10.2    10.2    10.2 1
-1864  9 29     8.8     8.8     8.8 1
-1864  9 30     6.1     6.1     6.1 1
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-1864 10  3     4.8     4.8     4.8 1
-1864 10  4     8.0     8.0     8.0 1
-1864 10  5     7.7     7.7     7.7 1
-1864 10  6     6.7     6.7     6.7 1
-1864 10  7     8.0     8.0     8.0 1
-1864 10  8     2.7     2.7     2.7 1
-1864 10  9     3.6     3.6     3.6 1
-1864 10 10     6.0     6.0     6.0 1
-1864 10 11     6.5     6.5     6.5 1
-1864 10 12     3.2     3.2     3.2 1
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-1864 10 17     4.5     4.5     4.5 1
-1864 10 18     5.9     5.9     5.9 1
-1864 10 19     1.9     1.9     1.9 1
-1864 10 20     9.9     9.9     9.9 1
-1864 10 21     8.4     8.4     8.4 1
-1864 10 22     3.7     3.7     3.7 1
-1864 10 23     4.7     4.7     4.7 1
-1864 10 24     3.8     3.8     3.8 1
-1864 10 25     2.1     2.1     2.1 1
-1864 10 26     2.4     2.4     2.4 1
-1864 10 27     2.4     2.4     2.4 1
-1864 10 28    -0.9    -0.9    -0.9 1
-1864 10 29    -3.4    -3.4    -3.4 1
-1864 10 30    -0.9    -0.9    -0.9 1
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-1864 11  6    -6.5    -6.5    -6.5 1
-1864 11  7     0.0     0.0     0.0 1
-1864 11  8     0.3     0.3     0.3 1
-1864 11  9    -2.0    -2.0    -2.0 1
-1864 11 10     2.1     2.1     2.1 1
-1864 11 11     0.3     0.3     0.3 1
-1864 11 12    -2.1    -2.1    -2.1 1
-1864 11 13     2.5     2.5     2.5 1
-1864 11 14     0.2     0.2     0.2 1
-1864 11 15     2.0     2.0     2.0 1
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-1864 11 17    -1.5    -1.5    -1.5 1
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-1864 11 19     4.0     4.0     4.0 1
-1864 11 20     2.1     2.1     2.1 1
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-1864 11 28    -2.2    -2.2    -2.2 1
-1864 11 29     3.0     3.0     3.0 1
-1864 11 30     2.2     2.2     2.2 1
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-1864 12  6     4.7     4.7     4.7 1
-1864 12  7     2.3     2.3     2.3 1
-1864 12  8     2.6     2.6     2.6 1
-1864 12  9     2.4     2.4     2.4 1
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-1864 12 11     1.5     1.5     1.5 1
-1864 12 12     1.8     1.8     1.8 1
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-1864 12 26     0.1     0.1     0.1 1
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-1864 12 28     1.6     1.6     1.6 1
-1864 12 29     0.9     0.9     0.9 1
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-1865  1  6    -5.5    -5.5    -5.5 1
-1865  1  7    -7.4    -7.4    -7.4 1
-1865  1  8    -4.9    -4.9    -4.9 1
-1865  1  9     3.3     3.3     3.3 1
-1865  1 10     0.5     0.5     0.5 1
-1865  1 11     3.0     3.0     3.0 1
-1865  1 12     0.9     0.9     0.9 1
-1865  1 13     1.8     1.8     1.8 1
-1865  1 14     1.7     1.7     1.7 1
-1865  1 15     2.5     2.5     2.5 1
-1865  1 16     2.2     2.2     2.2 1
-1865  1 17     1.3     1.3     1.3 1
-1865  1 18    -0.3    -0.3    -0.3 1
-1865  1 19     0.4     0.4     0.4 1
-1865  1 20     1.2     1.2     1.2 1
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-1865  1 25    -4.9    -4.9    -4.9 1
-1865  1 26    -8.0    -8.0    -8.0 1
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-1865  1 29    -7.5    -7.5    -7.5 1
-1865  1 30    -8.2    -8.2    -8.2 1
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-1865  2  3   -19.1   -19.1   -19.1 1
-1865  2  4   -22.1   -22.1   -22.1 1
-1865  2  5   -19.9   -19.9   -19.9 1
-1865  2  6   -20.9   -20.9   -20.9 1
-1865  2  7   -10.9   -10.9   -10.9 1
-1865  2  8   -13.3   -13.3   -13.3 1
-1865  2  9   -15.7   -15.7   -15.7 1
-1865  2 10   -18.1   -18.1   -18.1 1
-1865  2 11   -16.6   -16.6   -16.6 1
-1865  2 12   -13.5   -13.5   -13.5 1
-1865  2 13   -14.7   -14.7   -14.7 1
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-1865  2 17    -3.5    -3.5    -3.5 1
-1865  2 18    -0.6    -0.6    -0.6 1
-1865  2 19    -0.7    -0.7    -0.7 1
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-1865  2 26     0.6     0.6     0.6 1
-1865  2 27    -0.1    -0.1    -0.1 1
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-1865  3  3    -1.7    -1.7    -1.7 1
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-1865  3  5    -2.3    -2.3    -2.3 1
-1865  3  6     0.3     0.3     0.3 1
-1865  3  7    -0.3    -0.3    -0.3 1
-1865  3  8    -2.3    -2.3    -2.3 1
-1865  3  9    -2.0    -2.0    -2.0 1
-1865  3 10    -0.1    -0.1    -0.1 1
-1865  3 11     0.3     0.3     0.3 1
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-1865  3 15    -3.6    -3.6    -3.6 1
-1865  3 16    -1.5    -1.5    -1.5 1
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-1865  3 21    -3.6    -3.6    -3.6 1
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-1865  3 28    -8.3    -8.3    -8.3 1
-1865  3 29    -5.3    -5.3    -5.3 1
-1865  3 30    -1.6    -1.6    -1.6 1
-1865  3 31    -1.6    -1.6    -1.6 1
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-1865  4  3     1.0     1.0     1.0 1
-1865  4  4     1.3     1.3     1.3 1
-1865  4  5     2.2     2.2     2.2 1
-1865  4  6     2.1     2.1     2.1 1
-1865  4  7     4.8     4.8     4.8 1
-1865  4  8     5.3     5.3     5.3 1
-1865  4  9     5.2     5.2     5.2 1
-1865  4 10     3.7     3.7     3.7 1
-1865  4 11     5.0     5.0     5.0 1
-1865  4 12     5.8     5.8     5.8 1
-1865  4 13     4.8     4.8     4.8 1
-1865  4 14     3.7     3.7     3.7 1
-1865  4 15     5.1     5.1     5.1 1
-1865  4 16     6.3     6.3     6.3 1
-1865  4 17     4.9     4.9     4.9 1
-1865  4 18     6.0     6.0     6.0 1
-1865  4 19     6.4     6.4     6.4 1
-1865  4 20     5.3     5.3     5.3 1
-1865  4 21    10.7    10.7    10.7 1
-1865  4 22     8.9     8.9     8.9 1
-1865  4 23     7.9     7.9     7.9 1
-1865  4 24     3.2     3.2     3.2 1
-1865  4 25     6.5     6.5     6.5 1
-1865  4 26     5.2     5.2     5.2 1
-1865  4 27     2.9     2.9     2.9 1
-1865  4 28     1.7     1.7     1.7 1
-1865  4 29    -0.1    -0.1    -0.1 1
-1865  4 30     0.6     0.6     0.6 1
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-1865  5  2     6.7     6.7     6.7 1
-1865  5  3     9.7     9.7     9.7 1
-1865  5  4     8.4     8.4     8.4 1
-1865  5  5    12.3    12.3    12.3 1
-1865  5  6    10.2    10.2    10.2 1
-1865  5  7     7.5     7.5     7.5 1
-1865  5  8     8.2     8.2     8.2 1
-1865  5  9     8.6     8.6     8.6 1
-1865  5 10     7.9     7.9     7.9 1
-1865  5 11    11.1    11.1    11.1 1
-1865  5 12     4.9     4.9     4.9 1
-1865  5 13     8.4     8.4     8.4 1
-1865  5 14    11.1    11.1    11.1 1
-1865  5 15    12.2    12.2    12.2 1
-1865  5 16    12.4    12.4    12.4 1
-1865  5 17    10.8    10.8    10.8 1
-1865  5 18    13.6    13.6    13.6 1
-1865  5 19    14.3    14.3    14.3 1
-1865  5 20    15.9    15.9    15.9 1
-1865  5 21    18.1    18.1    18.1 1
-1865  5 22    13.3    13.3    13.3 1
-1865  5 23    13.4    13.4    13.4 1
-1865  5 24    16.6    16.6    16.6 1
-1865  5 25    18.9    18.9    18.9 1
-1865  5 26    12.2    12.2    12.2 1
-1865  5 27     5.5     5.5     5.5 1
-1865  5 28     8.8     8.8     8.8 1
-1865  5 29    13.5    13.5    13.5 1
-1865  5 30    12.5    12.5    12.5 1
-1865  5 31     6.1     6.1     6.1 1
-1865  6  1     7.8     7.8     7.8 1
-1865  6  2     8.0     8.0     8.0 1
-1865  6  3     9.7     9.7     9.7 1
-1865  6  4    10.4    10.4    10.4 1
-1865  6  5    13.0    13.0    13.0 1
-1865  6  6    12.8    12.8    12.8 1
-1865  6  7     8.7     8.7     8.7 1
-1865  6  8     7.7     7.7     7.7 1
-1865  6  9    12.6    12.6    12.6 1
-1865  6 10    12.1    12.1    12.1 1
-1865  6 11     8.8     8.8     8.8 1
-1865  6 12    10.3    10.3    10.3 1
-1865  6 13     7.6     7.6     7.6 1
-1865  6 14     9.5     9.5     9.5 1
-1865  6 15    12.6    12.6    12.6 1
-1865  6 16    12.4    12.4    12.4 1
-1865  6 17     8.4     8.4     8.4 1
-1865  6 18    11.3    11.3    11.3 1
-1865  6 19    10.1    10.1    10.1 1
-1865  6 20    12.1    12.1    12.1 1
-1865  6 21    12.9    12.9    12.9 1
-1865  6 22    14.7    14.7    14.7 1
-1865  6 23    14.1    14.1    14.1 1
-1865  6 24    16.1    16.1    16.1 1
-1865  6 25     9.0     9.0     9.0 1
-1865  6 26    11.7    11.7    11.7 1
-1865  6 27     8.9     8.9     8.9 1
-1865  6 28     8.8     8.8     8.8 1
-1865  6 29    10.4    10.4    10.4 1
-1865  6 30    12.3    12.3    12.3 1
-1865  7  1    12.4    12.4    12.4 1
-1865  7  2    14.7    14.7    14.7 1
-1865  7  3    17.0    17.0    17.0 1
-1865  7  4    17.5    17.5    17.5 1
-1865  7  5    16.3    16.3    16.3 1
-1865  7  6    17.2    17.2    17.2 1
-1865  7  7    18.9    18.9    18.9 1
-1865  7  8    17.9    17.9    17.9 1
-1865  7  9    16.1    16.1    16.1 1
-1865  7 10    16.2    16.2    16.2 1
-1865  7 11    14.1    14.1    14.1 1
-1865  7 12    13.5    13.5    13.5 1
-1865  7 13    16.0    16.0    16.0 1
-1865  7 14    15.6    15.6    15.6 1
-1865  7 15    18.6    18.6    18.6 1
-1865  7 16    21.8    21.8    21.8 1
-1865  7 17    23.5    23.5    23.5 1
-1865  7 18    21.7    21.7    21.7 1
-1865  7 19    21.6    21.6    21.6 1
-1865  7 20    22.0    22.0    22.0 1
-1865  7 21    23.5    23.5    23.5 1
-1865  7 22    25.4    25.4    25.4 1
-1865  7 23    24.2    24.2    24.2 1
-1865  7 24    25.5    25.5    25.5 1
-1865  7 25    23.4    23.4    23.4 1
-1865  7 26    21.3    21.3    21.3 1
-1865  7 27    23.3    23.3    23.3 1
-1865  7 28    18.7    18.7    18.7 1
-1865  7 29    14.5    14.5    14.5 1
-1865  7 30    12.8    12.8    12.8 1
-1865  7 31    13.2    13.2    13.2 1
-1865  8  1    13.4    13.4    13.4 1
-1865  8  2    14.7    14.7    14.7 1
-1865  8  3    14.4    14.4    14.4 1
-1865  8  4    14.4    14.4    14.4 1
-1865  8  5    16.2    16.2    16.2 1
-1865  8  6    14.9    14.9    14.9 1
-1865  8  7    12.5    12.5    12.5 1
-1865  8  8    15.2    15.2    15.2 1
-1865  8  9    13.7    13.7    13.7 1
-1865  8 10    14.1    14.1    14.1 1
-1865  8 11    15.6    15.6    15.6 1
-1865  8 12    16.8    16.8    16.8 1
-1865  8 13    17.3    17.3    17.3 1
-1865  8 14    14.7    14.7    14.7 1
-1865  8 15    13.3    13.3    13.3 1
-1865  8 16    14.4    14.4    14.4 1
-1865  8 17    15.4    15.4    15.4 1
-1865  8 18    12.6    12.6    12.6 1
-1865  8 19    12.7    12.7    12.7 1
-1865  8 20    11.8    11.8    11.8 1
-1865  8 21    13.6    13.6    13.6 1
-1865  8 22    13.0    13.0    13.0 1
-1865  8 23    12.1    12.1    12.1 1
-1865  8 24    11.7    11.7    11.7 1
-1865  8 25    12.8    12.8    12.8 1
-1865  8 26    16.5    16.5    16.5 1
-1865  8 27    17.7    17.7    17.7 1
-1865  8 28    15.7    15.7    15.7 1
-1865  8 29    11.5    11.5    11.5 1
-1865  8 30    10.4    10.4    10.4 1
-1865  8 31    10.7    10.7    10.7 1
-1865  9  1    11.9    11.9    11.9 1
-1865  9  2     7.2     7.2     7.2 1
-1865  9  3     7.0     7.0     7.0 1
-1865  9  4     9.7     9.7     9.7 1
-1865  9  5    16.6    16.6    16.6 1
-1865  9  6    17.0    17.0    17.0 1
-1865  9  7    15.9    15.9    15.9 1
-1865  9  8    17.9    17.9    17.9 1
-1865  9  9    19.0    19.0    19.0 1
-1865  9 10    16.5    16.5    16.5 1
-1865  9 11    13.5    13.5    13.5 1
-1865  9 12     9.9     9.9     9.9 1
-1865  9 13    12.0    12.0    12.0 1
-1865  9 14    12.5    12.5    12.5 1
-1865  9 15     9.1     9.1     9.1 1
-1865  9 16    11.8    11.8    11.8 1
-1865  9 17    12.7    12.7    12.7 1
-1865  9 18    12.1    12.1    12.1 1
-1865  9 19    12.0    12.0    12.0 1
-1865  9 20    11.5    11.5    11.5 1
-1865  9 21    12.9    12.9    12.9 1
-1865  9 22    14.1    14.1    14.1 1
-1865  9 23    11.7    11.7    11.7 1
-1865  9 24    11.2    11.2    11.2 1
-1865  9 25    12.3    12.3    12.3 1
-1865  9 26    14.0    14.0    14.0 1
-1865  9 27    15.7    15.7    15.7 1
-1865  9 28    10.7    10.7    10.7 1
-1865  9 29     5.9     5.9     5.9 1
-1865  9 30     7.8     7.8     7.8 1
-1865 10  1     7.1     7.1     7.1 1
-1865 10  2     5.1     5.1     5.1 1
-1865 10  3     4.8     4.8     4.8 1
-1865 10  4     6.5     6.5     6.5 1
-1865 10  5     9.5     9.5     9.5 1
-1865 10  6    10.1    10.1    10.1 1
-1865 10  7     8.9     8.9     8.9 1
-1865 10  8     3.4     3.4     3.4 1
-1865 10  9     2.6     2.6     2.6 1
-1865 10 10     1.3     1.3     1.3 1
-1865 10 11     1.9     1.9     1.9 1
-1865 10 12     4.5     4.5     4.5 1
-1865 10 13     4.2     4.2     4.2 1
-1865 10 14     0.9     0.9     0.9 1
-1865 10 15     1.5     1.5     1.5 1
-1865 10 16     1.4     1.4     1.4 1
-1865 10 17     0.8     0.8     0.8 1
-1865 10 18     0.7     0.7     0.7 1
-1865 10 19     6.5     6.5     6.5 1
-1865 10 20     8.6     8.6     8.6 1
-1865 10 21     7.3     7.3     7.3 1
-1865 10 22     7.8     7.8     7.8 1
-1865 10 23     6.5     6.5     6.5 1
-1865 10 24     4.5     4.5     4.5 1
-1865 10 25     4.0     4.0     4.0 1
-1865 10 26     0.8     0.8     0.8 1
-1865 10 27     5.8     5.8     5.8 1
-1865 10 28     5.9     5.9     5.9 1
-1865 10 29     2.4     2.4     2.4 1
-1865 10 30     6.2     6.2     6.2 1
-1865 10 31     7.7     7.7     7.7 1
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-1865 11  2     6.0     6.0     6.0 1
-1865 11  3     4.8     4.8     4.8 1
-1865 11  4     3.9     3.9     3.9 1
-1865 11  5     3.7     3.7     3.7 1
-1865 11  6     3.2     3.2     3.2 1
-1865 11  7     3.1     3.1     3.1 1
-1865 11  8     3.6     3.6     3.6 1
-1865 11  9     4.4     4.4     4.4 1
-1865 11 10    -0.6    -0.6    -0.6 1
-1865 11 11     1.0     1.0     1.0 1
-1865 11 12    -1.5    -1.5    -1.5 1
-1865 11 13     1.8     1.8     1.8 1
-1865 11 14     3.0     3.0     3.0 1
-1865 11 15     2.6     2.6     2.6 1
-1865 11 16     4.7     4.7     4.7 1
-1865 11 17     5.5     5.5     5.5 1
-1865 11 18     3.8     3.8     3.8 1
-1865 11 19     2.3     2.3     2.3 1
-1865 11 20     4.0     4.0     4.0 1
-1865 11 21     6.0     6.0     6.0 1
-1865 11 22     5.0     5.0     5.0 1
-1865 11 23     5.3     5.3     5.3 1
-1865 11 24     7.5     7.5     7.5 1
-1865 11 25     7.9     7.9     7.9 1
-1865 11 26     7.4     7.4     7.4 1
-1865 11 27     4.5     4.5     4.5 1
-1865 11 28     0.9     0.9     0.9 1
-1865 11 29     0.1     0.1     0.1 1
-1865 11 30    -2.0    -2.0    -2.0 1
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-1865 12  3    -0.2    -0.2    -0.2 1
-1865 12  4    -4.2    -4.2    -4.2 1
-1865 12  5    -1.5    -1.5    -1.5 1
-1865 12  6    -3.5    -3.5    -3.5 1
-1865 12  7    -2.9    -2.9    -2.9 1
-1865 12  8     1.2     1.2     1.2 1
-1865 12  9     5.8     5.8     5.8 1
-1865 12 10     5.8     5.8     5.8 1
-1865 12 11     1.7     1.7     1.7 1
-1865 12 12    -1.3    -1.3    -1.3 1
-1865 12 13     3.0     3.0     3.0 1
-1865 12 14     1.1     1.1     1.1 1
-1865 12 15    -3.6    -3.6    -3.6 1
-1865 12 16     4.0     4.0     4.0 1
-1865 12 17    -0.7    -0.7    -0.7 1
-1865 12 18     2.9     2.9     2.9 1
-1865 12 19     0.8     0.8     0.8 1
-1865 12 20     2.4     2.4     2.4 1
-1865 12 21     1.9     1.9     1.9 1
-1865 12 22     5.1     5.1     5.1 1
-1865 12 23     0.9     0.9     0.9 1
-1865 12 24     3.1     3.1     3.1 1
-1865 12 25     1.8     1.8     1.8 1
-1865 12 26     1.6     1.6     1.6 1
-1865 12 27     2.6     2.6     2.6 1
-1865 12 28     0.2     0.2     0.2 1
-1865 12 29     2.4     2.4     2.4 1
-1865 12 30     4.1     4.1     4.1 1
-1865 12 31     3.1     3.1     3.1 1
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-1866  1  2     3.1     3.1     3.1 1
-1866  1  3     2.5     2.5     2.5 1
-1866  1  4     1.1     1.1     1.1 1
-1866  1  5     1.1     1.1     1.1 1
-1866  1  6     1.2     1.2     1.2 1
-1866  1  7     1.4     1.4     1.4 1
-1866  1  8     1.9     1.9     1.9 1
-1866  1  9     2.1     2.1     2.1 1
-1866  1 10     1.3     1.3     1.3 1
-1866  1 11     1.2     1.2     1.2 1
-1866  1 12    -0.4    -0.4    -0.4 1
-1866  1 13    -6.1    -6.1    -6.1 1
-1866  1 14     0.8     0.8     0.8 1
-1866  1 15     5.4     5.4     5.4 1
-1866  1 16     3.7     3.7     3.7 1
-1866  1 17     1.0     1.0     1.0 1
-1866  1 18    -0.2    -0.2    -0.2 1
-1866  1 19     6.0     6.0     6.0 1
-1866  1 20     4.7     4.7     4.7 1
-1866  1 21    -0.4    -0.4    -0.4 1
-1866  1 22     4.9     4.9     4.9 1
-1866  1 23    -1.1    -1.1    -1.1 1
-1866  1 24    -1.1    -1.1    -1.1 1
-1866  1 25    -0.3    -0.3    -0.3 1
-1866  1 26     2.4     2.4     2.4 1
-1866  1 27     4.2     4.2     4.2 1
-1866  1 28     5.9     5.9     5.9 1
-1866  1 29     3.6     3.6     3.6 1
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-1866  2  2     1.1     1.1     1.1 1
-1866  2  3     1.2     1.2     1.2 1
-1866  2  4     2.0     2.0     2.0 1
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-1866  2  7    -2.2    -2.2    -2.2 1
-1866  2  8    -2.5    -2.5    -2.5 1
-1866  2  9    -4.4    -4.4    -4.4 1
-1866  2 10    -5.2    -5.2    -5.2 1
-1866  2 11    -2.0    -2.0    -2.0 1
-1866  2 12    -0.9    -0.9    -0.9 1
-1866  2 13     0.6     0.6     0.6 1
-1866  2 14    -0.6    -0.6    -0.6 1
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-1866  2 16    -1.4    -1.4    -1.4 1
-1866  2 17    -0.5    -0.5    -0.5 1
-1866  2 18    -1.6    -1.6    -1.6 1
-1866  2 19    -4.3    -4.3    -4.3 1
-1866  2 20    -7.1    -7.1    -7.1 1
-1866  2 21    -7.0    -7.0    -7.0 1
-1866  2 22    -6.0    -6.0    -6.0 1
-1866  2 23    -4.4    -4.4    -4.4 1
-1866  2 24    -4.1    -4.1    -4.1 1
-1866  2 25    -8.0    -8.0    -8.0 1
-1866  2 26    -3.5    -3.5    -3.5 1
-1866  2 27    -7.4    -7.4    -7.4 1
-1866  2 28   -11.3   -11.3   -11.3 1
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-1866  3  4    -3.7    -3.7    -3.7 1
-1866  3  5    -2.6    -2.6    -2.6 1
-1866  3  6    -9.5    -9.5    -9.5 1
-1866  3  7    -2.3    -2.3    -2.3 1
-1866  3  8    -3.8    -3.8    -3.8 1
-1866  3  9    -6.0    -6.0    -6.0 1
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-1866  3 11    -5.4    -5.4    -5.4 1
-1866  3 12   -11.3   -11.3   -11.3 1
-1866  3 13    -9.5    -9.5    -9.5 1
-1866  3 14   -10.8   -10.8   -10.8 1
-1866  3 15   -10.3   -10.3   -10.3 1
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-1866  3 22   -10.7   -10.7   -10.7 1
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-1866  3 26    -6.4    -6.4    -6.4 1
-1866  3 27    -4.5    -4.5    -4.5 1
-1866  3 28    -2.9    -2.9    -2.9 1
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-1866  3 30    -0.2    -0.2    -0.2 1
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-1866  4  4     1.4     1.4     1.4 1
-1866  4  5     2.1     2.1     2.1 1
-1866  4  6     0.6     0.6     0.6 1
-1866  4  7     3.4     3.4     3.4 1
-1866  4  8     2.7     2.7     2.7 1
-1866  4  9     5.3     5.3     5.3 1
-1866  4 10     6.0     6.0     6.0 1
-1866  4 11     4.3     4.3     4.3 1
-1866  4 12     5.4     5.4     5.4 1
-1866  4 13     6.4     6.4     6.4 1
-1866  4 14     9.7     9.7     9.7 1
-1866  4 15     4.5     4.5     4.5 1
-1866  4 16     5.2     5.2     5.2 1
-1866  4 17     7.7     7.7     7.7 1
-1866  4 18     3.1     3.1     3.1 1
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-1866  4 26     3.8     3.8     3.8 1
-1866  4 27     7.8     7.8     7.8 1
-1866  4 28     6.1     6.1     6.1 1
-1866  4 29    -0.6    -0.6    -0.6 1
-1866  4 30     2.6     2.6     2.6 1
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-1866  5  3     4.2     4.2     4.2 1
-1866  5  4     7.5     7.5     7.5 1
-1866  5  5     6.4     6.4     6.4 1
-1866  5  6     6.4     6.4     6.4 1
-1866  5  7     8.3     8.3     8.3 1
-1866  5  8    10.0    10.0    10.0 1
-1866  5  9     8.4     8.4     8.4 1
-1866  5 10     8.4     8.4     8.4 1
-1866  5 11     6.3     6.3     6.3 1
-1866  5 12     6.2     6.2     6.2 1
-1866  5 13     4.8     4.8     4.8 1
-1866  5 14     1.9     1.9     1.9 1
-1866  5 15     3.2     3.2     3.2 1
-1866  5 16     5.8     5.8     5.8 1
-1866  5 17     5.5     5.5     5.5 1
-1866  5 18     4.7     4.7     4.7 1
-1866  5 19     4.4     4.4     4.4 1
-1866  5 20     3.8     3.8     3.8 1
-1866  5 21     5.0     5.0     5.0 1
-1866  5 22     5.3     5.3     5.3 1
-1866  5 23     4.8     4.8     4.8 1
-1866  5 24     8.3     8.3     8.3 1
-1866  5 25    11.0    11.0    11.0 1
-1866  5 26    10.4    10.4    10.4 1
-1866  5 27    12.2    12.2    12.2 1
-1866  5 28    11.7    11.7    11.7 1
-1866  5 29    10.2    10.2    10.2 1
-1866  5 30    10.8    10.8    10.8 1
-1866  5 31    11.2    11.2    11.2 1
-1866  6  1    12.0    12.0    12.0 1
-1866  6  2    13.2    13.2    13.2 1
-1866  6  3    14.1    14.1    14.1 1
-1866  6  4    16.7    16.7    16.7 1
-1866  6  5    17.8    17.8    17.8 1
-1866  6  6    18.7    18.7    18.7 1
-1866  6  7    17.8    17.8    17.8 1
-1866  6  8    12.9    12.9    12.9 1
-1866  6  9    19.0    19.0    19.0 1
-1866  6 10    14.4    14.4    14.4 1
-1866  6 11    13.0    13.0    13.0 1
-1866  6 12    10.1    10.1    10.1 1
-1866  6 13    10.8    10.8    10.8 1
-1866  6 14    10.6    10.6    10.6 1
-1866  6 15    13.3    13.3    13.3 1
-1866  6 16    12.6    12.6    12.6 1
-1866  6 17    12.7    12.7    12.7 1
-1866  6 18    12.0    12.0    12.0 1
-1866  6 19    12.8    12.8    12.8 1
-1866  6 20    13.2    13.2    13.2 1
-1866  6 21    12.1    12.1    12.1 1
-1866  6 22    13.7    13.7    13.7 1
-1866  6 23    16.5    16.5    16.5 1
-1866  6 24    19.3    19.3    19.3 1
-1866  6 25    19.6    19.6    19.6 1
-1866  6 26    21.2    21.2    21.2 1
-1866  6 27    22.0    22.0    22.0 1
-1866  6 28    22.0    22.0    22.0 1
-1866  6 29    20.8    20.8    20.8 1
-1866  6 30    18.6    18.6    18.6 1
-1866  7  1    19.0    19.0    19.0 1
-1866  7  2    15.3    15.3    15.3 1
-1866  7  3    15.2    15.2    15.2 1
-1866  7  4    14.5    14.5    14.5 1
-1866  7  5    13.8    13.8    13.8 1
-1866  7  6    13.7    13.7    13.7 1
-1866  7  7    15.7    15.7    15.7 1
-1866  7  8    16.3    16.3    16.3 1
-1866  7  9    15.3    15.3    15.3 1
-1866  7 10    15.4    15.4    15.4 1
-1866  7 11    12.0    12.0    12.0 1
-1866  7 12    13.6    13.6    13.6 1
-1866  7 13    16.6    16.6    16.6 1
-1866  7 14    15.1    15.1    15.1 1
-1866  7 15    16.9    16.9    16.9 1
-1866  7 16    16.9    16.9    16.9 1
-1866  7 17    14.7    14.7    14.7 1
-1866  7 18     9.8     9.8     9.8 1
-1866  7 19    13.0    13.0    13.0 1
-1866  7 20    14.5    14.5    14.5 1
-1866  7 21    13.3    13.3    13.3 1
-1866  7 22    12.8    12.8    12.8 1
-1866  7 23    12.7    12.7    12.7 1
-1866  7 24    12.9    12.9    12.9 1
-1866  7 25    11.9    11.9    11.9 1
-1866  7 26    14.4    14.4    14.4 1
-1866  7 27    13.7    13.7    13.7 1
-1866  7 28    14.4    14.4    14.4 1
-1866  7 29    13.6    13.6    13.6 1
-1866  7 30    14.8    14.8    14.8 1
-1866  7 31    13.3    13.3    13.3 1
-1866  8  1    12.5    12.5    12.5 1
-1866  8  2    12.4    12.4    12.4 1
-1866  8  3    13.4    13.4    13.4 1
-1866  8  4    13.8    13.8    13.8 1
-1866  8  5    13.9    13.9    13.9 1
-1866  8  6    12.1    12.1    12.1 1
-1866  8  7    14.2    14.2    14.2 1
-1866  8  8    15.2    15.2    15.2 1
-1866  8  9    14.3    14.3    14.3 1
-1866  8 10    14.1    14.1    14.1 1
-1866  8 11    15.8    15.8    15.8 1
-1866  8 12    13.7    13.7    13.7 1
-1866  8 13    13.9    13.9    13.9 1
-1866  8 14    13.8    13.8    13.8 1
-1866  8 15    13.3    13.3    13.3 1
-1866  8 16    13.8    13.8    13.8 1
-1866  8 17    13.4    13.4    13.4 1
-1866  8 18    13.0    13.0    13.0 1
-1866  8 19    12.9    12.9    12.9 1
-1866  8 20    15.1    15.1    15.1 1
-1866  8 21    14.9    14.9    14.9 1
-1866  8 22    17.1    17.1    17.1 1
-1866  8 23    19.5    19.5    19.5 1
-1866  8 24    18.1    18.1    18.1 1
-1866  8 25    15.8    15.8    15.8 1
-1866  8 26    15.0    15.0    15.0 1
-1866  8 27    16.0    16.0    16.0 1
-1866  8 28    17.4    17.4    17.4 1
-1866  8 29    17.6    17.6    17.6 1
-1866  8 30    16.4    16.4    16.4 1
-1866  8 31    15.4    15.4    15.4 1
-1866  9  1    13.4    13.4    13.4 1
-1866  9  2    14.1    14.1    14.1 1
-1866  9  3    15.5    15.5    15.5 1
-1866  9  4    13.9    13.9    13.9 1
-1866  9  5    13.9    13.9    13.9 1
-1866  9  6    15.9    15.9    15.9 1
-1866  9  7    14.1    14.1    14.1 1
-1866  9  8    14.5    14.5    14.5 1
-1866  9  9    12.9    12.9    12.9 1
-1866  9 10    10.5    10.5    10.5 1
-1866  9 11    11.4    11.4    11.4 1
-1866  9 12    13.0    13.0    13.0 1
-1866  9 13    13.8    13.8    13.8 1
-1866  9 14    13.6    13.6    13.6 1
-1866  9 15    13.0    13.0    13.0 1
-1866  9 16    11.1    11.1    11.1 1
-1866  9 17    12.7    12.7    12.7 1
-1866  9 18    13.4    13.4    13.4 1
-1866  9 19    12.3    12.3    12.3 1
-1866  9 20    12.9    12.9    12.9 1
-1866  9 21    13.2    13.2    13.2 1
-1866  9 22    11.2    11.2    11.2 1
-1866  9 23    14.1    14.1    14.1 1
-1866  9 24    15.5    15.5    15.5 1
-1866  9 25    14.4    14.4    14.4 1
-1866  9 26    12.7    12.7    12.7 1
-1866  9 27    15.0    15.0    15.0 1
-1866  9 28    15.0    15.0    15.0 1
-1866  9 29    14.4    14.4    14.4 1
-1866  9 30    12.8    12.8    12.8 1
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-1866 10  2    11.2    11.2    11.2 1
-1866 10  3    11.6    11.6    11.6 1
-1866 10  4     9.2     9.2     9.2 1
-1866 10  5     8.1     8.1     8.1 1
-1866 10  6    10.9    10.9    10.9 1
-1866 10  7    12.7    12.7    12.7 1
-1866 10  8    10.2    10.2    10.2 1
-1866 10  9     9.4     9.4     9.4 1
-1866 10 10    10.0    10.0    10.0 1
-1866 10 11     4.8     4.8     4.8 1
-1866 10 12     3.6     3.6     3.6 1
-1866 10 13     8.2     8.2     8.2 1
-1866 10 14     6.9     6.9     6.9 1
-1866 10 15     3.3     3.3     3.3 1
-1866 10 16     0.9     0.9     0.9 1
-1866 10 17     2.2     2.2     2.2 1
-1866 10 18     3.3     3.3     3.3 1
-1866 10 19     2.8     2.8     2.8 1
-1866 10 20     3.6     3.6     3.6 1
-1866 10 21     4.9     4.9     4.9 1
-1866 10 22     6.1     6.1     6.1 1
-1866 10 23     5.5     5.5     5.5 1
-1866 10 24     4.2     4.2     4.2 1
-1866 10 25     5.4     5.4     5.4 1
-1866 10 26     2.8     2.8     2.8 1
-1866 10 27     3.6     3.6     3.6 1
-1866 10 28     4.3     4.3     4.3 1
-1866 10 29     3.9     3.9     3.9 1
-1866 10 30     4.8     4.8     4.8 1
-1866 10 31     1.5     1.5     1.5 1
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-1866 11  2     5.1     5.1     5.1 1
-1866 11  3     4.5     4.5     4.5 1
-1866 11  4     3.7     3.7     3.7 1
-1866 11  5     3.9     3.9     3.9 1
-1866 11  6     4.6     4.6     4.6 1
-1866 11  7     1.8     1.8     1.8 1
-1866 11  8     2.4     2.4     2.4 1
-1866 11  9     1.5     1.5     1.5 1
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-1866 11 11    -1.2    -1.2    -1.2 1
-1866 11 12     4.0     4.0     4.0 1
-1866 11 13     4.4     4.4     4.4 1
-1866 11 14     0.5     0.5     0.5 1
-1866 11 15    -3.4    -3.4    -3.4 1
-1866 11 16    -4.1    -4.1    -4.1 1
-1866 11 17    -4.6    -4.6    -4.6 1
-1866 11 18     0.3     0.3     0.3 1
-1866 11 19    -6.7    -6.7    -6.7 1
-1866 11 20    -6.7    -6.7    -6.7 1
-1866 11 21    -6.2    -6.2    -6.2 1
-1866 11 22    -7.2    -7.2    -7.2 1
-1866 11 23    -4.3    -4.3    -4.3 1
-1866 11 24    -5.8    -5.8    -5.8 1
-1866 11 25    -5.5    -5.5    -5.5 1
-1866 11 26    -0.6    -0.6    -0.6 1
-1866 11 27    -0.8    -0.8    -0.8 1
-1866 11 28    -5.1    -5.1    -5.1 1
-1866 11 29    -4.5    -4.5    -4.5 1
-1866 11 30     1.3     1.3     1.3 1
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-1866 12  2     0.5     0.5     0.5 1
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-1866 12  4     3.7     3.7     3.7 1
-1866 12  5     1.2     1.2     1.2 1
-1866 12  6     1.8     1.8     1.8 1
-1866 12  7     2.9     2.9     2.9 1
-1866 12  8    -0.9    -0.9    -0.9 1
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-1866 12 12   -12.7   -12.7   -12.7 1
-1866 12 13   -12.2   -12.2   -12.2 1
-1866 12 14   -11.7   -11.7   -11.7 1
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-1866 12 17    -4.0    -4.0    -4.0 1
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-1866 12 19     4.5     4.5     4.5 1
-1866 12 20     3.4     3.4     3.4 1
-1866 12 21     5.3     5.3     5.3 1
-1866 12 22     2.9     2.9     2.9 1
-1866 12 23     4.6     4.6     4.6 1
-1866 12 24     3.8     3.8     3.8 1
-1866 12 25    -4.1    -4.1    -4.1 1
-1866 12 26     0.0     0.0     0.0 1
-1866 12 27     0.7     0.7     0.7 1
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-1866 12 31   -13.3   -13.3   -13.3 1
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-1867  1  4   -14.2   -14.2   -14.2 1
-1867  1  5   -15.8   -15.8   -15.8 1
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-1867  1  8     0.0     0.0     0.0 1
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-1867  1 10    -8.0    -8.0    -8.0 1
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-1867  1 12    -9.2    -9.2    -9.2 1
-1867  1 13   -10.6   -10.6   -10.6 1
-1867  1 14   -14.7   -14.7   -14.7 1
-1867  1 15   -14.0   -14.0   -14.0 1
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-1867  1 19   -12.7   -12.7   -12.7 1
-1867  1 20   -11.1   -11.1   -11.1 1
-1867  1 21   -11.8   -11.8   -11.8 1
-1867  1 22   -10.9   -10.9   -10.9 1
-1867  1 23   -12.5   -12.5   -12.5 1
-1867  1 24    -9.9    -9.9    -9.9 1
-1867  1 25    -9.3    -9.3    -9.3 1
-1867  1 26    -7.2    -7.2    -7.2 1
-1867  1 27   -16.4   -16.4   -16.4 1
-1867  1 28    -5.9    -5.9    -5.9 1
-1867  1 29    -3.6    -3.6    -3.6 1
-1867  1 30    -6.5    -6.5    -6.5 1
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-1867  2  6     1.1     1.1     1.1 1
-1867  2  7     1.3     1.3     1.3 1
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-1867  2 12     2.6     2.6     2.6 1
-1867  2 13     5.4     5.4     5.4 1
-1867  2 14     2.2     2.2     2.2 1
-1867  2 15     0.0     0.0     0.0 1
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-1867  2 21     2.4     2.4     2.4 1
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-1867  2 27   -10.0   -10.0   -10.0 1
-1867  2 28   -12.3   -12.3   -12.3 1
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-1867  3  6    -3.6    -3.6    -3.6 1
-1867  3  7    -6.5    -6.5    -6.5 1
-1867  3  8    -6.4    -6.4    -6.4 1
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-1867  3 10    -4.4    -4.4    -4.4 1
-1867  3 11   -11.8   -11.8   -11.8 1
-1867  3 12   -13.2   -13.2   -13.2 1
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-1867  3 27     1.8     1.8     1.8 1
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-1867  3 29     1.8     1.8     1.8 1
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-1867  4  8    -1.0    -1.0    -1.0 1
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-1867  4 23     3.6     3.6     3.6 1
-1867  4 24     5.1     5.1     5.1 1
-1867  4 25     0.8     0.8     0.8 1
-1867  4 26     1.8     1.8     1.8 1
-1867  4 27     2.8     2.8     2.8 1
-1867  4 28    -0.6    -0.6    -0.6 1
-1867  4 29     0.3     0.3     0.3 1
-1867  4 30     0.6     0.6     0.6 1
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-1867  5  5     3.3     3.3     3.3 1
-1867  5  6     4.3     4.3     4.3 1
-1867  5  7     8.4     8.4     8.4 1
-1867  5  8     4.4     4.4     4.4 1
-1867  5  9     0.8     0.8     0.8 1
-1867  5 10     0.8     0.8     0.8 1
-1867  5 11     1.3     1.3     1.3 1
-1867  5 12    -1.3    -1.3    -1.3 1
-1867  5 13    -2.3    -2.3    -2.3 1
-1867  5 14     0.4     0.4     0.4 1
-1867  5 15     2.0     2.0     2.0 1
-1867  5 16     4.1     4.1     4.1 1
-1867  5 17     4.6     4.6     4.6 1
-1867  5 18     5.9     5.9     5.9 1
-1867  5 19     5.7     5.7     5.7 1
-1867  5 20     3.6     3.6     3.6 1
-1867  5 21     1.9     1.9     1.9 1
-1867  5 22     1.6     1.6     1.6 1
-1867  5 23     1.4     1.4     1.4 1
-1867  5 24     0.3     0.3     0.3 1
-1867  5 25     1.1     1.1     1.1 1
-1867  5 26     1.3     1.3     1.3 1
-1867  5 27     6.0     6.0     6.0 1
-1867  5 28     7.0     7.0     7.0 1
-1867  5 29     8.7     8.7     8.7 1
-1867  5 30    14.2    14.2    14.2 1
-1867  5 31    12.1    12.1    12.1 1
-1867  6  1     8.6     8.6     8.6 1
-1867  6  2     4.9     4.9     4.9 1
-1867  6  3     6.5     6.5     6.5 1
-1867  6  4     7.6     7.6     7.6 1
-1867  6  5    10.3    10.3    10.3 1
-1867  6  6    11.0    11.0    11.0 1
-1867  6  7    12.2    12.2    12.2 1
-1867  6  8    14.6    14.6    14.6 1
-1867  6  9     5.8     5.8     5.8 1
-1867  6 10     8.3     8.3     8.3 1
-1867  6 11     6.8     6.8     6.8 1
-1867  6 12     9.0     9.0     9.0 1
-1867  6 13    10.0    10.0    10.0 1
-1867  6 14     9.2     9.2     9.2 1
-1867  6 15    10.7    10.7    10.7 1
-1867  6 16     8.2     8.2     8.2 1
-1867  6 17     9.0     9.0     9.0 1
-1867  6 18    12.4    12.4    12.4 1
-1867  6 19     9.3     9.3     9.3 1
-1867  6 20    13.4    13.4    13.4 1
-1867  6 21    16.4    16.4    16.4 1
-1867  6 22    20.3    20.3    20.3 1
-1867  6 23    21.8    21.8    21.8 1
-1867  6 24    24.2    24.2    24.2 1
-1867  6 25    21.4    21.4    21.4 1
-1867  6 26    15.2    15.2    15.2 1
-1867  6 27    16.2    16.2    16.2 1
-1867  6 28     8.8     8.8     8.8 1
-1867  6 29    10.9    10.9    10.9 1
-1867  6 30    10.9    10.9    10.9 1
-1867  7  1     9.9     9.9     9.9 1
-1867  7  2    12.2    12.2    12.2 1
-1867  7  3     9.4     9.4     9.4 1
-1867  7  4    12.0    12.0    12.0 1
-1867  7  5    13.4    13.4    13.4 1
-1867  7  6    11.1    11.1    11.1 1
-1867  7  7    11.7    11.7    11.7 1
-1867  7  8    10.6    10.6    10.6 1
-1867  7  9    10.7    10.7    10.7 1
-1867  7 10    15.9    15.9    15.9 1
-1867  7 11    18.0    18.0    18.0 1
-1867  7 12    18.9    18.9    18.9 1
-1867  7 13    19.3    19.3    19.3 1
-1867  7 14    19.3    19.3    19.3 1
-1867  7 15    19.1    19.1    19.1 1
-1867  7 16    17.9    17.9    17.9 1
-1867  7 17    16.8    16.8    16.8 1
-1867  7 18    15.1    15.1    15.1 1
-1867  7 19    15.3    15.3    15.3 1
-1867  7 20    13.6    13.6    13.6 1
-1867  7 21    14.3    14.3    14.3 1
-1867  7 22    14.8    14.8    14.8 1
-1867  7 23    16.6    16.6    16.6 1
-1867  7 24    17.1    17.1    17.1 1
-1867  7 25    15.5    15.5    15.5 1
-1867  7 26    17.3    17.3    17.3 1
-1867  7 27    14.5    14.5    14.5 1
-1867  7 28    14.6    14.6    14.6 1
-1867  7 29    14.2    14.2    14.2 1
-1867  7 30     9.7     9.7     9.7 1
-1867  7 31     9.9     9.9     9.9 1
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-1867  8  2    14.0    14.0    14.0 1
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-1867  8  4    13.2    13.2    13.2 1
-1867  8  5    13.5    13.5    13.5 1
-1867  8  6    12.4    12.4    12.4 1
-1867  8  7    16.0    16.0    16.0 1
-1867  8  8    13.9    13.9    13.9 1
-1867  8  9    14.6    14.6    14.6 1
-1867  8 10    13.7    13.7    13.7 1
-1867  8 11    15.1    15.1    15.1 1
-1867  8 12    16.5    16.5    16.5 1
-1867  8 13    14.8    14.8    14.8 1
-1867  8 14    19.0    19.0    19.0 1
-1867  8 15    18.3    18.3    18.3 1
-1867  8 16    17.7    17.7    17.7 1
-1867  8 17    16.1    16.1    16.1 1
-1867  8 18    15.4    15.4    15.4 1
-1867  8 19    15.2    15.2    15.2 1
-1867  8 20    13.8    13.8    13.8 1
-1867  8 21    13.1    13.1    13.1 1
-1867  8 22    14.3    14.3    14.3 1
-1867  8 23    12.8    12.8    12.8 1
-1867  8 24    12.4    12.4    12.4 1
-1867  8 25    15.0    15.0    15.0 1
-1867  8 26    15.9    15.9    15.9 1
-1867  8 27    15.5    15.5    15.5 1
-1867  8 28    15.6    15.6    15.6 1
-1867  8 29    14.9    14.9    14.9 1
-1867  8 30    15.0    15.0    15.0 1
-1867  8 31    16.0    16.0    16.0 1
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-1867  9  3     9.9     9.9     9.9 1
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-1867  9  5    11.2    11.2    11.2 1
-1867  9  6    11.3    11.3    11.3 1
-1867  9  7    13.1    13.1    13.1 1
-1867  9  8    11.0    11.0    11.0 1
-1867  9  9    13.5    13.5    13.5 1
-1867  9 10    12.9    12.9    12.9 1
-1867  9 11    10.5    10.5    10.5 1
-1867  9 12    10.7    10.7    10.7 1
-1867  9 13    11.3    11.3    11.3 1
-1867  9 14    13.5    13.5    13.5 1
-1867  9 15    14.3    14.3    14.3 1
-1867  9 16    11.9    11.9    11.9 1
-1867  9 17    10.0    10.0    10.0 1
-1867  9 18     9.1     9.1     9.1 1
-1867  9 19    11.9    11.9    11.9 1
-1867  9 20    11.2    11.2    11.2 1
-1867  9 21    12.0    12.0    12.0 1
-1867  9 22    11.7    11.7    11.7 1
-1867  9 23    11.6    11.6    11.6 1
-1867  9 24     6.3     6.3     6.3 1
-1867  9 25     3.9     3.9     3.9 1
-1867  9 26     3.9     3.9     3.9 1
-1867  9 27     8.0     8.0     8.0 1
-1867  9 28    11.2    11.2    11.2 1
-1867  9 29     7.3     7.3     7.3 1
-1867  9 30     7.0     7.0     7.0 1
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-1867 10  3     6.6     6.6     6.6 1
-1867 10  4     5.5     5.5     5.5 1
-1867 10  5     4.8     4.8     4.8 1
-1867 10  6     4.7     4.7     4.7 1
-1867 10  7     4.7     4.7     4.7 1
-1867 10  8     6.1     6.1     6.1 1
-1867 10  9     5.3     5.3     5.3 1
-1867 10 10     7.5     7.5     7.5 1
-1867 10 11     8.8     8.8     8.8 1
-1867 10 12     9.2     9.2     9.2 1
-1867 10 13     8.0     8.0     8.0 1
-1867 10 14     7.5     7.5     7.5 1
-1867 10 15     6.4     6.4     6.4 1
-1867 10 16     4.2     4.2     4.2 1
-1867 10 17     6.5     6.5     6.5 1
-1867 10 18     9.0     9.0     9.0 1
-1867 10 19     8.9     8.9     8.9 1
-1867 10 20     8.8     8.8     8.8 1
-1867 10 21     8.5     8.5     8.5 1
-1867 10 22     8.8     8.8     8.8 1
-1867 10 23    12.2    12.2    12.2 1
-1867 10 24    10.8    10.8    10.8 1
-1867 10 25     7.9     7.9     7.9 1
-1867 10 26     7.5     7.5     7.5 1
-1867 10 27     9.6     9.6     9.6 1
-1867 10 28     6.6     6.6     6.6 1
-1867 10 29     3.9     3.9     3.9 1
-1867 10 30     5.3     5.3     5.3 1
-1867 10 31     3.5     3.5     3.5 1
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-1867 11 11     1.8     1.8     1.8 1
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-1867 11 25     2.1     2.1     2.1 1
-1867 11 26     4.3     4.3     4.3 1
-1867 11 27    -2.8    -2.8    -2.8 1
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-1867 12 12   -11.5   -11.5   -11.5 1
-1867 12 13   -11.9   -11.9   -11.9 1
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-1867 12 19   -11.9   -11.9   -11.9 1
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-1868  1 18     2.5     2.5     2.5 1
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-1868  2  5    -5.0    -5.0    -5.0 1
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-1868  2 25    -0.5    -0.5    -0.5 1
-1868  2 26     2.3     2.3     2.3 1
-1868  2 27     4.8     4.8     4.8 1
-1868  2 28     0.4     0.4     0.4 1
-1868  2 29     2.3     2.3     2.3 1
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-1868  3  5    -0.5    -0.5    -0.5 1
-1868  3  6    -3.8    -3.8    -3.8 1
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-1868  3  9     0.1     0.1     0.1 1
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-1868  3 13     1.3     1.3     1.3 1
-1868  3 14     0.8     0.8     0.8 1
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-1868  3 25     0.8     0.8     0.8 1
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-1868  4  5     5.0     5.0     5.0 1
-1868  4  6     1.5     1.5     1.5 1
-1868  4  7     1.2     1.2     1.2 1
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-1868  4 10     0.0     0.0     0.0 1
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-1868  4 13     1.6     1.6     1.6 1
-1868  4 14     1.8     1.8     1.8 1
-1868  4 15     3.3     3.3     3.3 1
-1868  4 16     3.7     3.7     3.7 1
-1868  4 17     1.6     1.6     1.6 1
-1868  4 18     3.9     3.9     3.9 1
-1868  4 19     3.2     3.2     3.2 1
-1868  4 20     5.7     5.7     5.7 1
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-1868  4 22     9.3     9.3     9.3 1
-1868  4 23    10.0    10.0    10.0 1
-1868  4 24     3.9     3.9     3.9 1
-1868  4 25     3.0     3.0     3.0 1
-1868  4 26     2.2     2.2     2.2 1
-1868  4 27     5.4     5.4     5.4 1
-1868  4 28     6.6     6.6     6.6 1
-1868  4 29     5.8     5.8     5.8 1
-1868  4 30     4.8     4.8     4.8 1
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-1868  5  2     5.5     5.5     5.5 1
-1868  5  3     4.5     4.5     4.5 1
-1868  5  4     6.8     6.8     6.8 1
-1868  5  5     5.4     5.4     5.4 1
-1868  5  6     2.7     2.7     2.7 1
-1868  5  7     5.8     5.8     5.8 1
-1868  5  8     5.9     5.9     5.9 1
-1868  5  9     7.1     7.1     7.1 1
-1868  5 10    10.6    10.6    10.6 1
-1868  5 11     9.5     9.5     9.5 1
-1868  5 12    12.2    12.2    12.2 1
-1868  5 13    12.9    12.9    12.9 1
-1868  5 14    14.7    14.7    14.7 1
-1868  5 15    14.0    14.0    14.0 1
-1868  5 16    12.1    12.1    12.1 1
-1868  5 17    10.9    10.9    10.9 1
-1868  5 18    11.0    11.0    11.0 1
-1868  5 19    11.3    11.3    11.3 1
-1868  5 20    11.8    11.8    11.8 1
-1868  5 21    13.6    13.6    13.6 1
-1868  5 22     7.8     7.8     7.8 1
-1868  5 23    11.1    11.1    11.1 1
-1868  5 24    12.6    12.6    12.6 1
-1868  5 25    12.1    12.1    12.1 1
-1868  5 26    11.2    11.2    11.2 1
-1868  5 27    14.4    14.4    14.4 1
-1868  5 28    14.6    14.6    14.6 1
-1868  5 29    12.6    12.6    12.6 1
-1868  5 30    15.9    15.9    15.9 1
-1868  5 31    15.9    15.9    15.9 1
-1868  6  1    13.3    13.3    13.3 1
-1868  6  2    15.3    15.3    15.3 1
-1868  6  3    13.9    13.9    13.9 1
-1868  6  4    15.7    15.7    15.7 1
-1868  6  5    14.3    14.3    14.3 1
-1868  6  6    15.4    15.4    15.4 1
-1868  6  7    15.0    15.0    15.0 1
-1868  6  8    11.9    11.9    11.9 1
-1868  6  9    10.9    10.9    10.9 1
-1868  6 10    14.7    14.7    14.7 1
-1868  6 11    14.8    14.8    14.8 1
-1868  6 12    14.4    14.4    14.4 1
-1868  6 13    16.3    16.3    16.3 1
-1868  6 14    15.8    15.8    15.8 1
-1868  6 15    19.4    19.4    19.4 1
-1868  6 16    13.2    13.2    13.2 1
-1868  6 17    13.7    13.7    13.7 1
-1868  6 18    13.6    13.6    13.6 1
-1868  6 19    12.2    12.2    12.2 1
-1868  6 20    19.5    19.5    19.5 1
-1868  6 21    17.1    17.1    17.1 1
-1868  6 22    18.1    18.1    18.1 1
-1868  6 23    20.8    20.8    20.8 1
-1868  6 24    21.1    21.1    21.1 1
-1868  6 25    18.4    18.4    18.4 1
-1868  6 26    13.7    13.7    13.7 1
-1868  6 27    12.7    12.7    12.7 1
-1868  6 28    15.7    15.7    15.7 1
-1868  6 29    14.6    14.6    14.6 1
-1868  6 30    13.3    13.3    13.3 1
-1868  7  1    15.6    15.6    15.6 1
-1868  7  2    16.3    16.3    16.3 1
-1868  7  3    18.8    18.8    18.8 1
-1868  7  4    19.9    19.9    19.9 1
-1868  7  5    15.9    15.9    15.9 1
-1868  7  6    14.2    14.2    14.2 1
-1868  7  7    16.3    16.3    16.3 1
-1868  7  8    18.0    18.0    18.0 1
-1868  7  9    21.4    21.4    21.4 1
-1868  7 10    19.0    19.0    19.0 1
-1868  7 11    15.7    15.7    15.7 1
-1868  7 12    18.5    18.5    18.5 1
-1868  7 13    18.1    18.1    18.1 1
-1868  7 14    18.0    18.0    18.0 1
-1868  7 15    23.1    23.1    23.1 1
-1868  7 16    23.8    23.8    23.8 1
-1868  7 17    24.3    24.3    24.3 1
-1868  7 18    23.4    23.4    23.4 1
-1868  7 19    22.2    22.2    22.2 1
-1868  7 20    19.5    19.5    19.5 1
-1868  7 21    21.2    21.2    21.2 1
-1868  7 22    21.2    21.2    21.2 1
-1868  7 23    19.6    19.6    19.6 1
-1868  7 24    12.0    12.0    12.0 1
-1868  7 25    14.9    14.9    14.9 1
-1868  7 26    15.3    15.3    15.3 1
-1868  7 27    16.6    16.6    16.6 1
-1868  7 28    16.4    16.4    16.4 1
-1868  7 29    17.9    17.9    17.9 1
-1868  7 30    18.7    18.7    18.7 1
-1868  7 31    18.9    18.9    18.9 1
-1868  8  1    18.3    18.3    18.3 1
-1868  8  2    18.8    18.8    18.8 1
-1868  8  3    20.3    20.3    20.3 1
-1868  8  4    19.1    19.1    19.1 1
-1868  8  5    17.5    17.5    17.5 1
-1868  8  6    17.5    17.5    17.5 1
-1868  8  7    19.9    19.9    19.9 1
-1868  8  8    19.3    19.3    19.3 1
-1868  8  9    17.6    17.6    17.6 1
-1868  8 10    17.5    17.5    17.5 1
-1868  8 11    18.7    18.7    18.7 1
-1868  8 12    19.5    19.5    19.5 1
-1868  8 13    20.5    20.5    20.5 1
-1868  8 14    21.3    21.3    21.3 1
-1868  8 15    22.7    22.7    22.7 1
-1868  8 16    22.9    22.9    22.9 1
-1868  8 17    22.9    22.9    22.9 1
-1868  8 18    23.7    23.7    23.7 1
-1868  8 19    22.0    22.0    22.0 1
-1868  8 20    20.0    20.0    20.0 1
-1868  8 21    21.4    21.4    21.4 1
-1868  8 22    20.6    20.6    20.6 1
-1868  8 23    20.5    20.5    20.5 1
-1868  8 24    17.2    17.2    17.2 1
-1868  8 25    16.2    16.2    16.2 1
-1868  8 26    15.7    15.7    15.7 1
-1868  8 27    16.2    16.2    16.2 1
-1868  8 28    13.1    13.1    13.1 1
-1868  8 29    13.1    13.1    13.1 1
-1868  8 30    13.8    13.8    13.8 1
-1868  8 31    15.2    15.2    15.2 1
-1868  9  1    13.2    13.2    13.2 1
-1868  9  2    10.2    10.2    10.2 1
-1868  9  3     9.6     9.6     9.6 1
-1868  9  4    12.6    12.6    12.6 1
-1868  9  5    13.8    13.8    13.8 1
-1868  9  6    15.9    15.9    15.9 1
-1868  9  7    18.0    18.0    18.0 1
-1868  9  8    18.4    18.4    18.4 1
-1868  9  9    11.0    11.0    11.0 1
-1868  9 10    11.7    11.7    11.7 1
-1868  9 11    12.4    12.4    12.4 1
-1868  9 12    12.0    12.0    12.0 1
-1868  9 13    10.3    10.3    10.3 1
-1868  9 14     9.5     9.5     9.5 1
-1868  9 15    10.7    10.7    10.7 1
-1868  9 16    11.0    11.0    11.0 1
-1868  9 17    11.8    11.8    11.8 1
-1868  9 18    11.6    11.6    11.6 1
-1868  9 19    11.1    11.1    11.1 1
-1868  9 20    10.2    10.2    10.2 1
-1868  9 21     8.2     8.2     8.2 1
-1868  9 22     8.7     8.7     8.7 1
-1868  9 23    10.3    10.3    10.3 1
-1868  9 24    11.7    11.7    11.7 1
-1868  9 25     7.6     7.6     7.6 1
-1868  9 26     6.1     6.1     6.1 1
-1868  9 27     5.4     5.4     5.4 1
-1868  9 28     8.0     8.0     8.0 1
-1868  9 29    12.4    12.4    12.4 1
-1868  9 30    13.0    13.0    13.0 1
-1868 10  1     3.5     3.5     3.5 1
-1868 10  2     3.2     3.2     3.2 1
-1868 10  3     3.7     3.7     3.7 1
-1868 10  4     7.7     7.7     7.7 1
-1868 10  5     9.0     9.0     9.0 1
-1868 10  6     9.8     9.8     9.8 1
-1868 10  7     9.3     9.3     9.3 1
-1868 10  8     9.4     9.4     9.4 1
-1868 10  9     8.5     8.5     8.5 1
-1868 10 10    10.1    10.1    10.1 1
-1868 10 11     9.7     9.7     9.7 1
-1868 10 12     7.2     7.2     7.2 1
-1868 10 13     7.2     7.2     7.2 1
-1868 10 14     8.5     8.5     8.5 1
-1868 10 15     8.6     8.6     8.6 1
-1868 10 16     8.6     8.6     8.6 1
-1868 10 17     7.6     7.6     7.6 1
-1868 10 18     8.6     8.6     8.6 1
-1868 10 19    11.4    11.4    11.4 1
-1868 10 20     6.0     6.0     6.0 1
-1868 10 21     5.7     5.7     5.7 1
-1868 10 22     4.3     4.3     4.3 1
-1868 10 23     4.0     4.0     4.0 1
-1868 10 24     7.6     7.6     7.6 1
-1868 10 25     3.8     3.8     3.8 1
-1868 10 26     3.0     3.0     3.0 1
-1868 10 27     4.9     4.9     4.9 1
-1868 10 28     1.4     1.4     1.4 1
-1868 10 29     2.3     2.3     2.3 1
-1868 10 30     4.3     4.3     4.3 1
-1868 10 31     4.2     4.2     4.2 1
-1868 11  1     5.5     5.5     5.5 1
-1868 11  2     8.6     8.6     8.6 1
-1868 11  3     7.5     7.5     7.5 1
-1868 11  4     3.6     3.6     3.6 1
-1868 11  5     2.1     2.1     2.1 1
-1868 11  6     2.5     2.5     2.5 1
-1868 11  7    -1.1    -1.1    -1.1 1
-1868 11  8     1.7     1.7     1.7 1
-1868 11  9     1.2     1.2     1.2 1
-1868 11 10     0.3     0.3     0.3 1
-1868 11 11     2.9     2.9     2.9 1
-1868 11 12     0.6     0.6     0.6 1
-1868 11 13    -1.6    -1.6    -1.6 1
-1868 11 14    -0.5    -0.5    -0.5 1
-1868 11 15     0.3     0.3     0.3 1
-1868 11 16     2.5     2.5     2.5 1
-1868 11 17    -4.3    -4.3    -4.3 1
-1868 11 18    -4.5    -4.5    -4.5 1
-1868 11 19    -9.0    -9.0    -9.0 1
-1868 11 20   -10.0   -10.0   -10.0 1
-1868 11 21    -3.9    -3.9    -3.9 1
-1868 11 22     2.3     2.3     2.3 1
-1868 11 23     3.6     3.6     3.6 1
-1868 11 24     4.9     4.9     4.9 1
-1868 11 25     2.8     2.8     2.8 1
-1868 11 26     0.5     0.5     0.5 1
-1868 11 27     0.2     0.2     0.2 1
-1868 11 28    -0.2    -0.2    -0.2 1
-1868 11 29    -1.4    -1.4    -1.4 1
-1868 11 30    -1.8    -1.8    -1.8 1
-1868 12  1    -2.4    -2.4    -2.4 1
-1868 12  2    -0.2    -0.2    -0.2 1
-1868 12  3     0.2     0.2     0.2 1
-1868 12  4     1.6     1.6     1.6 1
-1868 12  5     7.0     7.0     7.0 1
-1868 12  6     5.2     5.2     5.2 1
-1868 12  7    -0.4    -0.4    -0.4 1
-1868 12  8    -9.7    -9.7    -9.7 1
-1868 12  9    -9.0    -9.0    -9.0 1
-1868 12 10    -3.6    -3.6    -3.6 1
-1868 12 11     4.1     4.1     4.1 1
-1868 12 12    -1.9    -1.9    -1.9 1
-1868 12 13    -2.5    -2.5    -2.5 1
-1868 12 14    -6.0    -6.0    -6.0 1
-1868 12 15     1.7     1.7     1.7 1
-1868 12 16     2.8     2.8     2.8 1
-1868 12 17     2.4     2.4     2.4 1
-1868 12 18     3.2     3.2     3.2 1
-1868 12 19     2.5     2.5     2.5 1
-1868 12 20     0.8     0.8     0.8 1
-1868 12 21    -1.5    -1.5    -1.5 1
-1868 12 22    -0.3    -0.3    -0.3 1
-1868 12 23    -1.2    -1.2    -1.2 1
-1868 12 24    -1.9    -1.9    -1.9 1
-1868 12 25    -2.2    -2.2    -2.2 1
-1868 12 26    -4.5    -4.5    -4.5 1
-1868 12 27    -5.5    -5.5    -5.5 1
-1868 12 28    -0.1    -0.1    -0.1 1
-1868 12 29    -2.6    -2.6    -2.6 1
-1868 12 30    -3.4    -3.4    -3.4 1
-1868 12 31    -2.7    -2.7    -2.7 1
-1869  1  1    -2.5    -2.5    -2.5 1
-1869  1  2    -7.2    -7.2    -7.2 1
-1869  1  3    -2.8    -2.8    -2.8 1
-1869  1  4    -0.5    -0.5    -0.5 1
-1869  1  5     0.9     0.9     0.9 1
-1869  1  6     2.5     2.5     2.5 1
-1869  1  7    -1.9    -1.9    -1.9 1
-1869  1  8    -1.1    -1.1    -1.1 1
-1869  1  9     3.0     3.0     3.0 1
-1869  1 10     0.9     0.9     0.9 1
-1869  1 11    -0.5    -0.5    -0.5 1
-1869  1 12     2.4     2.4     2.4 1
-1869  1 13     1.6     1.6     1.6 1
-1869  1 14     0.4     0.4     0.4 1
-1869  1 15     0.1     0.1     0.1 1
-1869  1 16    -1.8    -1.8    -1.8 1
-1869  1 17    -3.3    -3.3    -3.3 1
-1869  1 18    -3.9    -3.9    -3.9 1
-1869  1 19    -6.5    -6.5    -6.5 1
-1869  1 20    -3.3    -3.3    -3.3 1
-1869  1 21    -5.9    -5.9    -5.9 1
-1869  1 22    -9.1    -9.1    -9.1 1
-1869  1 23    -6.4    -6.4    -6.4 1
-1869  1 24    -6.9    -6.9    -6.9 1
-1869  1 25    -8.6    -8.6    -8.6 1
-1869  1 26    -6.0    -6.0    -6.0 1
-1869  1 27    -5.5    -5.5    -5.5 1
-1869  1 28    -1.0    -1.0    -1.0 1
-1869  1 29     1.4     1.4     1.4 1
-1869  1 30     4.1     4.1     4.1 1
-1869  1 31     3.6     3.6     3.6 1
-1869  2  1     5.5     5.5     5.5 1
-1869  2  2     2.2     2.2     2.2 1
-1869  2  3    -1.5    -1.5    -1.5 1
-1869  2  4    -1.1    -1.1    -1.1 1
-1869  2  5     3.2     3.2     3.2 1
-1869  2  6     6.3     6.3     6.3 1
-1869  2  7     3.0     3.0     3.0 1
-1869  2  8     5.4     5.4     5.4 1
-1869  2  9     3.5     3.5     3.5 1
-1869  2 10    -0.7    -0.7    -0.7 1
-1869  2 11    -5.5    -5.5    -5.5 1
-1869  2 12    -4.1    -4.1    -4.1 1
-1869  2 13    -0.7    -0.7    -0.7 1
-1869  2 14     2.2     2.2     2.2 1
-1869  2 15    -1.1    -1.1    -1.1 1
-1869  2 16    -1.3    -1.3    -1.3 1
-1869  2 17     4.2     4.2     4.2 1
-1869  2 18     1.2     1.2     1.2 1
-1869  2 19    -0.5    -0.5    -0.5 1
-1869  2 20    -8.1    -8.1    -8.1 1
-1869  2 21    -7.3    -7.3    -7.3 1
-1869  2 22    -8.3    -8.3    -8.3 1
-1869  2 23    -7.3    -7.3    -7.3 1
-1869  2 24    -3.1    -3.1    -3.1 1
-1869  2 25     0.8     0.8     0.8 1
-1869  2 26     1.8     1.8     1.8 1
-1869  2 27     0.0     0.0     0.0 1
-1869  2 28    -4.0    -4.0    -4.0 1
-1869  3  1    -7.1    -7.1    -7.1 1
-1869  3  2    -3.2    -3.2    -3.2 1
-1869  3  3    -4.2    -4.2    -4.2 1
-1869  3  4    -6.3    -6.3    -6.3 1
-1869  3  5    -7.2    -7.2    -7.2 1
-1869  3  6    -8.9    -8.9    -8.9 1
-1869  3  7    -5.1    -5.1    -5.1 1
-1869  3  8    -6.2    -6.2    -6.2 1
-1869  3  9    -6.6    -6.6    -6.6 1
-1869  3 10    -3.3    -3.3    -3.3 1
-1869  3 11    -1.1    -1.1    -1.1 1
-1869  3 12     0.5     0.5     0.5 1
-1869  3 13    -5.2    -5.2    -5.2 1
-1869  3 14    -5.8    -5.8    -5.8 1
-1869  3 15    -3.9    -3.9    -3.9 1
-1869  3 16    -0.1    -0.1    -0.1 1
-1869  3 17     1.3     1.3     1.3 1
-1869  3 18     1.9     1.9     1.9 1
-1869  3 19     0.7     0.7     0.7 1
-1869  3 20     1.1     1.1     1.1 1
-1869  3 21     1.1     1.1     1.1 1
-1869  3 22     0.0     0.0     0.0 1
-1869  3 23    -0.5    -0.5    -0.5 1
-1869  3 24     0.1     0.1     0.1 1
-1869  3 25    -1.2    -1.2    -1.2 1
-1869  3 26     2.0     2.0     2.0 1
-1869  3 27     0.0     0.0     0.0 1
-1869  3 28    -1.3    -1.3    -1.3 1
-1869  3 29     1.1     1.1     1.1 1
-1869  3 30     1.0     1.0     1.0 1
-1869  3 31     2.8     2.8     2.8 1
-1869  4  1     1.3     1.3     1.3 1
-1869  4  2     0.7     0.7     0.7 1
-1869  4  3     3.9     3.9     3.9 1
-1869  4  4     5.2     5.2     5.2 1
-1869  4  5     6.1     6.1     6.1 1
-1869  4  6     8.1     8.1     8.1 1
-1869  4  7     8.2     8.2     8.2 1
-1869  4  8     3.5     3.5     3.5 1
-1869  4  9     1.5     1.5     1.5 1
-1869  4 10     2.2     2.2     2.2 1
-1869  4 11     2.4     2.4     2.4 1
-1869  4 12    -0.3    -0.3    -0.3 1
-1869  4 13     2.5     2.5     2.5 1
-1869  4 14     4.3     4.3     4.3 1
-1869  4 15     7.3     7.3     7.3 1
-1869  4 16     8.8     8.8     8.8 1
-1869  4 17     2.8     2.8     2.8 1
-1869  4 18     5.3     5.3     5.3 1
-1869  4 19     2.0     2.0     2.0 1
-1869  4 20     6.2     6.2     6.2 1
-1869  4 21     8.7     8.7     8.7 1
-1869  4 22     8.9     8.9     8.9 1
-1869  4 23     9.8     9.8     9.8 1
-1869  4 24    10.7    10.7    10.7 1
-1869  4 25     9.7     9.7     9.7 1
-1869  4 26    15.0    15.0    15.0 1
-1869  4 27    15.2    15.2    15.2 1
-1869  4 28     8.4     8.4     8.4 1
-1869  4 29     5.3     5.3     5.3 1
-1869  4 30     1.7     1.7     1.7 1
-1869  5  1     3.8     3.8     3.8 1
-1869  5  2    -0.6    -0.6    -0.6 1
-1869  5  3    -0.3    -0.3    -0.3 1
-1869  5  4     0.2     0.2     0.2 1
-1869  5  5     2.0     2.0     2.0 1
-1869  5  6     4.4     4.4     4.4 1
-1869  5  7     6.6     6.6     6.6 1
-1869  5  8     9.4     9.4     9.4 1
-1869  5  9     5.2     5.2     5.2 1
-1869  5 10     4.7     4.7     4.7 1
-1869  5 11     7.8     7.8     7.8 1
-1869  5 12    13.4    13.4    13.4 1
-1869  5 13    12.2    12.2    12.2 1
-1869  5 14     8.7     8.7     8.7 1
-1869  5 15     7.4     7.4     7.4 1
-1869  5 16     7.2     7.2     7.2 1
-1869  5 17     8.6     8.6     8.6 1
-1869  5 18     9.0     9.0     9.0 1
-1869  5 19    12.5    12.5    12.5 1
-1869  5 20     9.6     9.6     9.6 1
-1869  5 21    10.6    10.6    10.6 1
-1869  5 22    10.4    10.4    10.4 1
-1869  5 23     6.9     6.9     6.9 1
-1869  5 24     9.4     9.4     9.4 1
-1869  5 25     8.3     8.3     8.3 1
-1869  5 26    10.6    10.6    10.6 1
-1869  5 27    10.7    10.7    10.7 1
-1869  5 28     4.0     4.0     4.0 1
-1869  5 29     8.4     8.4     8.4 1
-1869  5 30     8.3     8.3     8.3 1
-1869  5 31     9.6     9.6     9.6 1
-1869  6  1     5.3     5.3     5.3 1
-1869  6  2     7.0     7.0     7.0 1
-1869  6  3    12.0    12.0    12.0 1
-1869  6  4    13.2    13.2    13.2 1
-1869  6  5    11.8    11.8    11.8 1
-1869  6  6    10.8    10.8    10.8 1
-1869  6  7    10.6    10.6    10.6 1
-1869  6  8     8.9     8.9     8.9 1
-1869  6  9    10.4    10.4    10.4 1
-1869  6 10     7.2     7.2     7.2 1
-1869  6 11     8.5     8.5     8.5 1
-1869  6 12    12.4    12.4    12.4 1
-1869  6 13    11.7    11.7    11.7 1
-1869  6 14    13.9    13.9    13.9 1
-1869  6 15    16.0    16.0    16.0 1
-1869  6 16    12.0    12.0    12.0 1
-1869  6 17    13.2    13.2    13.2 1
-1869  6 18    12.0    12.0    12.0 1
-1869  6 19    11.9    11.9    11.9 1
-1869  6 20    14.2    14.2    14.2 1
-1869  6 21    11.6    11.6    11.6 1
-1869  6 22    12.2    12.2    12.2 1
-1869  6 23    12.7    12.7    12.7 1
-1869  6 24    13.0    13.0    13.0 1
-1869  6 25    15.2    15.2    15.2 1
-1869  6 26    17.1    17.1    17.1 1
-1869  6 27    18.0    18.0    18.0 1
-1869  6 28    10.7    10.7    10.7 1
-1869  6 29    14.8    14.8    14.8 1
-1869  6 30    15.9    15.9    15.9 1
-1869  7  1    12.7    12.7    12.7 1
-1869  7  2    15.0    15.0    15.0 1
-1869  7  3    12.6    12.6    12.6 1
-1869  7  4    12.0    12.0    12.0 1
-1869  7  5    14.3    14.3    14.3 1
-1869  7  6    16.6    16.6    16.6 1
-1869  7  7    15.2    15.2    15.2 1
-1869  7  8    14.8    14.8    14.8 1
-1869  7  9    18.3    18.3    18.3 1
-1869  7 10    15.7    15.7    15.7 1
-1869  7 11    14.3    14.3    14.3 1
-1869  7 12    15.2    15.2    15.2 1
-1869  7 13    18.1    18.1    18.1 1
-1869  7 14    14.3    14.3    14.3 1
-1869  7 15    11.7    11.7    11.7 1
-1869  7 16    13.9    13.9    13.9 1
-1869  7 17    14.8    14.8    14.8 1
-1869  7 18    16.6    16.6    16.6 1
-1869  7 19    17.0    17.0    17.0 1
-1869  7 20    14.8    14.8    14.8 1
-1869  7 21    16.4    16.4    16.4 1
-1869  7 22    17.6    17.6    17.6 1
-1869  7 23    17.8    17.8    17.8 1
-1869  7 24    17.5    17.5    17.5 1
-1869  7 25    20.0    20.0    20.0 1
-1869  7 26    18.0    18.0    18.0 1
-1869  7 27    18.5    18.5    18.5 1
-1869  7 28    19.7    19.7    19.7 1
-1869  7 29    16.5    16.5    16.5 1
-1869  7 30    16.6    16.6    16.6 1
-1869  7 31    18.2    18.2    18.2 1
-1869  8  1    19.3    19.3    19.3 1
-1869  8  2    20.0    20.0    20.0 1
-1869  8  3    16.8    16.8    16.8 1
-1869  8  4    15.2    15.2    15.2 1
-1869  8  5    15.4    15.4    15.4 1
-1869  8  6    14.1    14.1    14.1 1
-1869  8  7    13.5    13.5    13.5 1
-1869  8  8    14.9    14.9    14.9 1
-1869  8  9    13.6    13.6    13.6 1
-1869  8 10    12.9    12.9    12.9 1
-1869  8 11    12.8    12.8    12.8 1
-1869  8 12    13.9    13.9    13.9 1
-1869  8 13    12.8    12.8    12.8 1
-1869  8 14    15.6    15.6    15.6 1
-1869  8 15    16.5    16.5    16.5 1
-1869  8 16    16.4    16.4    16.4 1
-1869  8 17    14.6    14.6    14.6 1
-1869  8 18    13.8    13.8    13.8 1
-1869  8 19    14.0    14.0    14.0 1
-1869  8 20    13.5    13.5    13.5 1
-1869  8 21    14.7    14.7    14.7 1
-1869  8 22    17.5    17.5    17.5 1
-1869  8 23    13.2    13.2    13.2 1
-1869  8 24    15.1    15.1    15.1 1
-1869  8 25    15.7    15.7    15.7 1
-1869  8 26    20.1    20.1    20.1 1
-1869  8 27    15.0    15.0    15.0 1
-1869  8 28    13.9    13.9    13.9 1
-1869  8 29    11.4    11.4    11.4 1
-1869  8 30     7.6     7.6     7.6 1
-1869  8 31     7.8     7.8     7.8 1
-1869  9  1     8.6     8.6     8.6 1
-1869  9  2     5.9     5.9     5.9 1
-1869  9  3     7.0     7.0     7.0 1
-1869  9  4     8.1     8.1     8.1 1
-1869  9  5    11.1    11.1    11.1 1
-1869  9  6    12.0    12.0    12.0 1
-1869  9  7    13.5    13.5    13.5 1
-1869  9  8    15.1    15.1    15.1 1
-1869  9  9    15.8    15.8    15.8 1
-1869  9 10    16.8    16.8    16.8 1
-1869  9 11    15.9    15.9    15.9 1
-1869  9 12    13.4    13.4    13.4 1
-1869  9 13    13.0    13.0    13.0 1
-1869  9 14    13.4    13.4    13.4 1
-1869  9 15    11.6    11.6    11.6 1
-1869  9 16    11.8    11.8    11.8 1
-1869  9 17    11.6    11.6    11.6 1
-1869  9 18    12.4    12.4    12.4 1
-1869  9 19    14.4    14.4    14.4 1
-1869  9 20    10.7    10.7    10.7 1
-1869  9 21    10.8    10.8    10.8 1
-1869  9 22    10.1    10.1    10.1 1
-1869  9 23     7.4     7.4     7.4 1
-1869  9 24     7.7     7.7     7.7 1
-1869  9 25     7.8     7.8     7.8 1
-1869  9 26    12.3    12.3    12.3 1
-1869  9 27    10.3    10.3    10.3 1
-1869  9 28     8.1     8.1     8.1 1
-1869  9 29    11.7    11.7    11.7 1
-1869  9 30     8.0     8.0     8.0 1
-1869 10  1     7.2     7.2     7.2 1
-1869 10  2     7.5     7.5     7.5 1
-1869 10  3     6.7     6.7     6.7 1
-1869 10  4     5.7     5.7     5.7 1
-1869 10  5     7.0     7.0     7.0 1
-1869 10  6     4.0     4.0     4.0 1
-1869 10  7     4.8     4.8     4.8 1
-1869 10  8     8.7     8.7     8.7 1
-1869 10  9     9.4     9.4     9.4 1
-1869 10 10    11.4    11.4    11.4 1
-1869 10 11    12.2    12.2    12.2 1
-1869 10 12    13.6    13.6    13.6 1
-1869 10 13    11.8    11.8    11.8 1
-1869 10 14     6.2     6.2     6.2 1
-1869 10 15     5.7     5.7     5.7 1
-1869 10 16     2.7     2.7     2.7 1
-1869 10 17     7.4     7.4     7.4 1
-1869 10 18     0.8     0.8     0.8 1
-1869 10 19     2.4     2.4     2.4 1
-1869 10 20     3.0     3.0     3.0 1
-1869 10 21     1.1     1.1     1.1 1
-1869 10 22    -0.5    -0.5    -0.5 1
-1869 10 23     6.5     6.5     6.5 1
-1869 10 24     6.4     6.4     6.4 1
-1869 10 25     0.5     0.5     0.5 1
-1869 10 26     3.6     3.6     3.6 1
-1869 10 27     4.2     4.2     4.2 1
-1869 10 28     3.3     3.3     3.3 1
-1869 10 29     2.4     2.4     2.4 1
-1869 10 30     0.8     0.8     0.8 1
-1869 10 31     2.9     2.9     2.9 1
-1869 11  1     1.5     1.5     1.5 1
-1869 11  2    -0.5    -0.5    -0.5 1
-1869 11  3     0.6     0.6     0.6 1
-1869 11  4    -2.2    -2.2    -2.2 1
-1869 11  5    -5.2    -5.2    -5.2 1
-1869 11  6    -6.6    -6.6    -6.6 1
-1869 11  7    -1.3    -1.3    -1.3 1
-1869 11  8    -0.6    -0.6    -0.6 1
-1869 11  9     1.0     1.0     1.0 1
-1869 11 10    -5.4    -5.4    -5.4 1
-1869 11 11    -7.4    -7.4    -7.4 1
-1869 11 12    -8.0    -8.0    -8.0 1
-1869 11 13     0.9     0.9     0.9 1
-1869 11 14     0.5     0.5     0.5 1
-1869 11 15     1.5     1.5     1.5 1
-1869 11 16     1.6     1.6     1.6 1
-1869 11 17     2.9     2.9     2.9 1
-1869 11 18     5.3     5.3     5.3 1
-1869 11 19     7.5     7.5     7.5 1
-1869 11 20     2.6     2.6     2.6 1
-1869 11 21     0.0     0.0     0.0 1
-1869 11 22     2.1     2.1     2.1 1
-1869 11 23     2.7     2.7     2.7 1
-1869 11 24     3.0     3.0     3.0 1
-1869 11 25     1.4     1.4     1.4 1
-1869 11 26     3.2     3.2     3.2 1
-1869 11 27     1.4     1.4     1.4 1
-1869 11 28    -2.8    -2.8    -2.8 1
-1869 11 29    -6.3    -6.3    -6.3 1
-1869 11 30    -3.7    -3.7    -3.7 1
-1869 12  1    -3.5    -3.5    -3.5 1
-1869 12  2    -0.3    -0.3    -0.3 1
-1869 12  3     2.6     2.6     2.6 1
-1869 12  4     2.0     2.0     2.0 1
-1869 12  5     0.9     0.9     0.9 1
-1869 12  6     2.6     2.6     2.6 1
-1869 12  7     2.6     2.6     2.6 1
-1869 12  8     1.0     1.0     1.0 1
-1869 12  9     1.0     1.0     1.0 1
-1869 12 10     0.5     0.5     0.5 1
-1869 12 11     2.6     2.6     2.6 1
-1869 12 12     2.9     2.9     2.9 1
-1869 12 13     3.0     3.0     3.0 1
-1869 12 14     2.8     2.8     2.8 1
-1869 12 15     2.6     2.6     2.6 1
-1869 12 16     2.0     2.0     2.0 1
-1869 12 17    -3.3    -3.3    -3.3 1
-1869 12 18    -3.1    -3.1    -3.1 1
-1869 12 19     0.1     0.1     0.1 1
-1869 12 20     1.8     1.8     1.8 1
-1869 12 21     1.2     1.2     1.2 1
-1869 12 22    -1.9    -1.9    -1.9 1
-1869 12 23    -3.4    -3.4    -3.4 1
-1869 12 24    -8.4    -8.4    -8.4 1
-1869 12 25    -9.0    -9.0    -9.0 1
-1869 12 26    -6.4    -6.4    -6.4 1
-1869 12 27    -9.7    -9.7    -9.7 1
-1869 12 28    -4.2    -4.2    -4.2 1
-1869 12 29    -5.3    -5.3    -5.3 1
-1869 12 30    -0.5    -0.5    -0.5 1
-1869 12 31     1.6     1.6     1.6 1
-1870  1  1     0.9     0.9     0.9 1
-1870  1  2     1.4     1.4     1.4 1
-1870  1  3     1.9     1.9     1.9 1
-1870  1  4     1.8     1.8     1.8 1
-1870  1  5     2.0     2.0     2.0 1
-1870  1  6     3.3     3.3     3.3 1
-1870  1  7     2.7     2.7     2.7 1
-1870  1  8     2.7     2.7     2.7 1
-1870  1  9     4.2     4.2     4.2 1
-1870  1 10     3.2     3.2     3.2 1
-1870  1 11     1.8     1.7     1.7 1
-1870  1 12     1.1     1.0     1.0 1
-1870  1 13     0.4     0.3     0.3 1
-1870  1 14    -0.7    -0.8    -0.8 1
-1870  1 15     1.1     1.0     1.0 1
-1870  1 16     0.1     0.0     0.0 1
-1870  1 17    -2.0    -2.1    -2.1 1
-1870  1 18    -4.7    -4.8    -4.8 1
-1870  1 19    -5.3    -5.4    -5.4 1
-1870  1 20    -5.7    -5.8    -5.8 1
-1870  1 21    -3.2    -3.3    -3.3 1
-1870  1 22    -3.2    -3.3    -3.3 1
-1870  1 23    -4.0    -4.1    -4.1 1
-1870  1 24    -4.7    -4.8    -4.8 1
-1870  1 25    -7.8    -7.9    -7.9 1
-1870  1 26    -4.2    -4.3    -4.3 1
-1870  1 27    -0.8    -0.9    -0.9 1
-1870  1 28    -1.7    -1.8    -1.8 1
-1870  1 29    -2.2    -2.3    -2.3 1
-1870  1 30    -5.4    -5.5    -5.5 1
-1870  1 31    -4.3    -4.3    -4.3 1
-1870  2  1    -5.0    -5.0    -5.0 1
-1870  2  2    -1.4    -1.4    -1.4 1
-1870  2  3    -2.4    -2.4    -2.4 1
-1870  2  4    -3.4    -3.4    -3.4 1
-1870  2  5    -5.4    -5.4    -5.4 1
-1870  2  6    -7.1    -7.1    -7.1 1
-1870  2  7    -6.6    -6.6    -6.6 1
-1870  2  8    -8.6    -8.6    -8.6 1
-1870  2  9    -9.6    -9.6    -9.6 1
-1870  2 10   -13.6   -13.6   -13.6 1
-1870  2 11   -11.9   -11.9   -11.9 1
-1870  2 12   -17.4   -17.4   -17.4 1
-1870  2 13   -12.2   -12.2   -12.2 1
-1870  2 14   -10.8   -10.8   -10.8 1
-1870  2 15    -3.0    -3.0    -3.0 1
-1870  2 16    -1.2    -1.2    -1.2 1
-1870  2 17    -2.1    -2.1    -2.1 1
-1870  2 18    -4.9    -4.9    -4.9 1
-1870  2 19    -6.5    -6.5    -6.5 1
-1870  2 20    -2.4    -2.4    -2.4 1
-1870  2 21    -9.8    -9.8    -9.8 1
-1870  2 22   -14.9   -14.9   -14.9 1
-1870  2 23   -14.3   -14.3   -14.3 1
-1870  2 24   -11.5   -11.5   -11.5 1
-1870  2 25    -7.7    -7.7    -7.7 1
-1870  2 26    -3.8    -3.8    -3.8 1
-1870  2 27    -1.9    -1.9    -1.9 1
-1870  2 28     0.6     0.6     0.6 1
-1870  3  1     2.8     2.8     2.8 1
-1870  3  2     2.6     2.6     2.6 1
-1870  3  3     1.8     1.8     1.8 1
-1870  3  4     0.3     0.3     0.3 1
-1870  3  5    -1.5    -1.5    -1.5 1
-1870  3  6     2.2     2.2     2.2 1
-1870  3  7     3.6     3.6     3.6 1
-1870  3  8    -4.3    -4.3    -4.3 1
-1870  3  9    -5.4    -5.4    -5.4 1
-1870  3 10    -6.5    -6.5    -6.5 1
-1870  3 11    -7.6    -7.6    -7.6 1
-1870  3 12    -8.1    -8.1    -8.1 1
-1870  3 13    -9.6    -9.6    -9.6 1
-1870  3 14    -8.3    -8.3    -8.3 1
-1870  3 15    -3.0    -3.0    -3.0 1
-1870  3 16     1.9     1.9     1.9 1
-1870  3 17    -4.3    -4.3    -4.3 1
-1870  3 18    -8.6    -8.6    -8.6 1
-1870  3 19    -6.7    -6.7    -6.7 1
-1870  3 20    -2.3    -2.3    -2.3 1
-1870  3 21    -2.1    -2.1    -2.1 1
-1870  3 22     0.2     0.2     0.2 1
-1870  3 23     0.4     0.4     0.4 1
-1870  3 24    -3.0    -3.0    -3.0 1
-1870  3 25    -2.7    -2.7    -2.7 1
-1870  3 26    -3.1    -3.1    -3.1 1
-1870  3 27    -0.3    -0.3    -0.3 1
-1870  3 28     0.1     0.1     0.1 1
-1870  3 29     0.0     0.0     0.0 1
-1870  3 30     0.0     0.0     0.0 1
-1870  3 31    -0.6    -0.6    -0.6 1
-1870  4  1     2.5     2.5     2.5 1
-1870  4  2     3.2     3.2     3.2 1
-1870  4  3     1.6     1.6     1.6 1
-1870  4  4     4.2     4.2     4.2 1
-1870  4  5     4.5     4.5     4.5 1
-1870  4  6     3.3     3.3     3.3 1
-1870  4  7     3.0     3.0     3.0 1
-1870  4  8     1.4     1.4     1.4 1
-1870  4  9     3.5     3.5     3.5 1
-1870  4 10     2.5     2.5     2.5 1
-1870  4 11     2.0     2.0     2.0 1
-1870  4 12     2.7     2.7     2.7 1
-1870  4 13     1.4     1.4     1.4 1
-1870  4 14     3.6     3.6     3.6 1
-1870  4 15     1.8     1.8     1.8 1
-1870  4 16     6.6     6.6     6.6 1
-1870  4 17     9.3     9.3     9.3 1
-1870  4 18     7.5     7.4     7.4 1
-1870  4 19     7.2     7.1     7.1 1
-1870  4 20     9.3     9.2     9.2 1
-1870  4 21    12.1    12.0    12.0 1
-1870  4 22    11.9    11.8    11.8 1
-1870  4 23    12.6    12.5    12.5 1
-1870  4 24     9.3     9.2     9.2 1
-1870  4 25     8.1     8.0     8.0 1
-1870  4 26    10.2    10.1    10.1 1
-1870  4 27     4.9     4.8     4.8 1
-1870  4 28     4.2     4.1     4.1 1
-1870  4 29     4.8     4.7     4.7 1
-1870  4 30     4.3     4.2     4.2 1
-1870  5  1     5.3     5.2     5.2 1
-1870  5  2     6.8     6.7     6.7 1
-1870  5  3     6.0     5.9     5.9 1
-1870  5  4     5.3     5.2     5.2 1
-1870  5  5     4.7     4.6     4.6 1
-1870  5  6     4.4     4.3     4.3 1
-1870  5  7     5.0     4.9     4.9 1
-1870  5  8     9.6     9.5     9.5 1
-1870  5  9    11.1    11.0    11.0 1
-1870  5 10    11.6    11.5    11.5 1
-1870  5 11    11.2    11.1    11.1 1
-1870  5 12     7.3     7.2     7.2 1
-1870  5 13    10.5    10.4    10.4 1
-1870  5 14    11.0    10.9    10.9 1
-1870  5 15    12.1    12.0    12.0 1
-1870  5 16    13.7    13.6    13.6 1
-1870  5 17    10.6    10.5    10.5 1
-1870  5 18    12.4    12.3    12.3 1
-1870  5 19    13.5    13.4    13.4 1
-1870  5 20    13.4    13.3    13.3 1
-1870  5 21    11.2    11.1    11.1 1
-1870  5 22    11.0    10.9    10.9 1
-1870  5 23     9.2     9.1     9.1 1
-1870  5 24    10.6    10.5    10.5 1
-1870  5 25     8.6     8.5     8.5 1
-1870  5 26     7.5     7.4     7.4 1
-1870  5 27     6.2     6.1     6.1 1
-1870  5 28     6.6     6.5     6.5 1
-1870  5 29     6.6     6.5     6.5 1
-1870  5 30     6.4     6.3     6.3 1
-1870  5 31     8.2     8.1     8.1 1
-1870  6  1     6.4     6.3     6.3 1
-1870  6  2     8.9     8.8     8.8 1
-1870  6  3     9.5     9.4     9.4 1
-1870  6  4     9.1     9.0     9.0 1
-1870  6  5    14.1    14.0    14.0 1
-1870  6  6    16.1    16.0    16.0 1
-1870  6  7    14.7    14.6    14.6 1
-1870  6  8    14.2    14.1    14.1 1
-1870  6  9    15.8    15.7    15.7 1
-1870  6 10    11.1    11.0    11.0 1
-1870  6 11    11.6    11.5    11.5 1
-1870  6 12     9.5     9.4     9.4 1
-1870  6 13    10.0     9.9     9.9 1
-1870  6 14    10.2    10.1    10.1 1
-1870  6 15    14.7    14.6    14.6 1
-1870  6 16    17.6    17.5    17.5 1
-1870  6 17    19.2    19.1    19.1 1
-1870  6 18    18.5    18.4    18.4 1
-1870  6 19    15.7    15.6    15.6 1
-1870  6 20    16.1    16.0    16.0 1
-1870  6 21    17.1    17.0    17.0 1
-1870  6 22    17.2    17.1    17.1 1
-1870  6 23    15.6    15.5    15.5 1
-1870  6 24    15.6    15.5    15.5 1
-1870  6 25    13.8    13.7    13.7 1
-1870  6 26    12.4    12.3    12.3 1
-1870  6 27    12.6    12.5    12.5 1
-1870  6 28    13.6    13.5    13.5 1
-1870  6 29    15.2    15.1    15.1 1
-1870  6 30    18.3    18.2    18.2 1
-1870  7  1    16.0    15.9    15.9 1
-1870  7  2    14.1    14.0    14.0 1
-1870  7  3    13.6    13.5    13.5 1
-1870  7  4    13.5    13.4    13.4 1
-1870  7  5    14.6    14.5    14.5 1
-1870  7  6    14.3    14.2    14.2 1
-1870  7  7    14.8    14.7    14.7 1
-1870  7  8    15.6    15.5    15.5 1
-1870  7  9    17.6    17.5    17.5 1
-1870  7 10    18.5    18.4    18.4 1
-1870  7 11    18.4    18.3    18.3 1
-1870  7 12    17.3    17.2    17.2 1
-1870  7 13    18.1    18.0    18.0 1
-1870  7 14    16.6    16.5    16.5 1
-1870  7 15    15.5    15.4    15.4 1
-1870  7 16    16.9    16.8    16.8 1
-1870  7 17    19.9    19.8    19.8 1
-1870  7 18    17.7    17.6    17.6 1
-1870  7 19    17.1    17.0    17.0 1
-1870  7 20    16.1    16.0    16.0 1
-1870  7 21    16.0    15.9    15.9 1
-1870  7 22    14.9    14.8    14.8 1
-1870  7 23    15.0    14.9    14.9 1
-1870  7 24    18.3    18.2    18.2 1
-1870  7 25    18.3    18.2    18.2 1
-1870  7 26    19.8    19.7    19.7 1
-1870  7 27    19.1    19.0    19.0 1
-1870  7 28    21.1    21.0    21.0 1
-1870  7 29    20.4    20.3    20.3 1
-1870  7 30    19.5    19.4    19.4 1
-1870  7 31    19.2    19.1    19.1 1
-1870  8  1    18.0    17.9    17.9 1
-1870  8  2    18.2    18.1    18.1 1
-1870  8  3    18.6    18.5    18.5 1
-1870  8  4    20.3    20.2    20.2 1
-1870  8  5    20.3    20.2    20.2 1
-1870  8  6    19.2    19.1    19.1 1
-1870  8  7    17.4    17.3    17.3 1
-1870  8  8    16.6    16.5    16.5 1
-1870  8  9    17.9    17.8    17.8 1
-1870  8 10    18.0    17.9    17.9 1
-1870  8 11    18.5    18.4    18.4 1
-1870  8 12    19.5    19.4    19.4 1
-1870  8 13    15.0    14.9    14.9 1
-1870  8 14    15.6    15.5    15.5 1
-1870  8 15    14.3    14.2    14.2 1
-1870  8 16    12.8    12.7    12.7 1
-1870  8 17    11.9    11.8    11.8 1
-1870  8 18    10.0    10.0    10.0 1
-1870  8 19    11.6    11.6    11.6 1
-1870  8 20    10.7    10.7    10.7 1
-1870  8 21    10.6    10.6    10.6 1
-1870  8 22    11.7    11.7    11.7 1
-1870  8 23    11.9    11.9    11.9 1
-1870  8 24    10.3    10.3    10.3 1
-1870  8 25    10.6    10.6    10.6 1
-1870  8 26    11.5    11.5    11.5 1
-1870  8 27    12.1    12.1    12.1 1
-1870  8 28    12.0    12.0    12.0 1
-1870  8 29    12.8    12.8    12.8 1
-1870  8 30    13.6    13.6    13.6 1
-1870  8 31    12.4    12.4    12.4 1
-1870  9  1    10.2    10.2    10.2 1
-1870  9  2    12.8    12.8    12.8 1
-1870  9  3    16.0    16.0    16.0 1
-1870  9  4    14.7    14.7    14.7 1
-1870  9  5    15.0    15.0    15.0 1
-1870  9  6    15.7    15.7    15.7 1
-1870  9  7    15.5    15.5    15.5 1
-1870  9  8    15.8    15.8    15.8 1
-1870  9  9    12.5    12.5    12.5 1
-1870  9 10    12.0    12.0    12.0 1
-1870  9 11    10.6    10.6    10.6 1
-1870  9 12     8.0     8.0     8.0 1
-1870  9 13    10.5    10.5    10.5 1
-1870  9 14    10.1    10.1    10.1 1
-1870  9 15     7.7     7.7     7.7 1
-1870  9 16     6.6     6.6     6.6 1
-1870  9 17     6.4     6.4     6.4 1
-1870  9 18     8.5     8.5     8.5 1
-1870  9 19    11.6    11.6    11.6 1
-1870  9 20    11.8    11.8    11.8 1
-1870  9 21     9.9     9.9     9.9 1
-1870  9 22    10.5    10.5    10.5 1
-1870  9 23    12.0    12.0    12.0 1
-1870  9 24    12.5    12.5    12.5 1
-1870  9 25    11.6    11.6    11.6 1
-1870  9 26    10.3    10.3    10.3 1
-1870  9 27     9.9     9.9     9.9 1
-1870  9 28     8.7     8.7     8.7 1
-1870  9 29     7.9     7.9     7.9 1
-1870  9 30     7.8     7.8     7.8 1
-1870 10  1     9.5     9.5     9.5 1
-1870 10  2    10.0    10.0    10.0 1
-1870 10  3     9.4     9.4     9.4 1
-1870 10  4     7.8     7.8     7.8 1
-1870 10  5     7.1     7.1     7.1 1
-1870 10  6     5.6     5.6     5.6 1
-1870 10  7     2.3     2.3     2.3 1
-1870 10  8     1.6     1.6     1.6 1
-1870 10  9     3.4     3.4     3.4 1
-1870 10 10     2.8     2.8     2.8 1
-1870 10 11     1.6     1.6     1.6 1
-1870 10 12     1.3     1.3     1.3 1
-1870 10 13     2.9     2.9     2.9 1
-1870 10 14     0.3     0.3     0.3 1
-1870 10 15    -0.8    -0.8    -0.8 1
-1870 10 16     1.5     1.5     1.5 1
-1870 10 17     4.3     4.3     4.3 1
-1870 10 18     6.2     6.2     6.2 1
-1870 10 19     6.6     6.6     6.6 1
-1870 10 20     6.6     6.6     6.6 1
-1870 10 21     7.0     7.0     7.0 1
-1870 10 22     5.5     5.5     5.5 1
-1870 10 23     5.4     5.4     5.4 1
-1870 10 24     6.1     6.1     6.1 1
-1870 10 25     7.1     7.1     7.1 1
-1870 10 26     7.8     7.8     7.8 1
-1870 10 27     4.5     4.5     4.5 1
-1870 10 28     4.6     4.6     4.6 1
-1870 10 29     4.0     4.0     4.0 1
-1870 10 30     4.2     4.2     4.2 1
-1870 10 31     4.3     4.3     4.3 1
-1870 11  1     3.2     3.2     3.2 1
-1870 11  2     2.9     2.9     2.9 1
-1870 11  3     2.7     2.7     2.7 1
-1870 11  4     4.1     4.1     4.1 1
-1870 11  5     1.4     1.4     1.4 1
-1870 11  6     1.8     1.8     1.8 1
-1870 11  7     2.6     2.6     2.6 1
-1870 11  8    -0.8    -0.8    -0.8 1
-1870 11  9    -1.1    -1.1    -1.1 1
-1870 11 10     3.0     3.0     3.0 1
-1870 11 11     3.3     3.3     3.3 1
-1870 11 12     4.9     4.9     4.9 1
-1870 11 13     2.7     2.7     2.7 1
-1870 11 14     3.1     3.1     3.1 1
-1870 11 15     4.3     4.3     4.3 1
-1870 11 16     4.5     4.5     4.5 1
-1870 11 17     1.6     1.6     1.6 1
-1870 11 18     3.4     3.4     3.4 1
-1870 11 19     2.9     2.9     2.9 1
-1870 11 20     4.0     4.0     4.0 1
-1870 11 21     1.2     1.2     1.2 1
-1870 11 22     3.0     3.0     3.0 1
-1870 11 23     4.0     4.0     4.0 1
-1870 11 24     2.9     2.9     2.9 1
-1870 11 25     6.5     6.5     6.5 1
-1870 11 26     6.2     6.2     6.2 1
-1870 11 27     3.8     3.8     3.8 1
-1870 11 28    -0.1    -0.1    -0.1 1
-1870 11 29    -1.7    -1.7    -1.7 1
-1870 11 30    -4.9    -4.9    -4.9 1
-1870 12  1    -7.5    -7.5    -7.5 1
-1870 12  2    -3.3    -3.3    -3.3 1
-1870 12  3    -0.3    -0.3    -0.3 1
-1870 12  4     0.2     0.2     0.2 1
-1870 12  5    -2.7    -2.7    -2.7 1
-1870 12  6     0.1     0.1     0.1 1
-1870 12  7    -2.4    -2.4    -2.4 1
-1870 12  8    -2.5    -2.5    -2.5 1
-1870 12  9    -6.5    -6.5    -6.5 1
-1870 12 10   -11.4   -11.4   -11.4 1
-1870 12 11   -12.4   -12.4   -12.4 1
-1870 12 12   -11.5   -11.5   -11.5 1
-1870 12 13    -1.6    -1.6    -1.6 1
-1870 12 14    -0.1    -0.1    -0.1 1
-1870 12 15     0.3     0.3     0.3 1
-1870 12 16     0.6     0.6     0.6 1
-1870 12 17    -3.3    -3.3    -3.3 1
-1870 12 18    -8.3    -8.3    -8.3 1
-1870 12 19   -15.2   -15.2   -15.2 1
-1870 12 20   -14.0   -14.0   -14.0 1
-1870 12 21   -12.5   -12.5   -12.5 1
-1870 12 22   -13.3   -13.3   -13.3 1
-1870 12 23   -11.8   -11.8   -11.8 1
-1870 12 24    -7.8    -7.8    -7.8 1
-1870 12 25   -11.1   -11.1   -11.1 1
-1870 12 26   -13.1   -13.1   -13.1 1
-1870 12 27    -9.8    -9.8    -9.8 1
-1870 12 28   -11.2   -11.2   -11.2 1
-1870 12 29    -8.7    -8.7    -8.7 1
-1870 12 30   -10.2   -10.2   -10.2 1
-1870 12 31   -10.8   -10.8   -10.8 1
-1871  1  1    -4.9    -5.0    -5.0 1
-1871  1  2    -7.7    -7.8    -7.8 1
-1871  1  3    -8.8    -8.9    -8.9 1
-1871  1  4    -7.2    -7.3    -7.3 1
-1871  1  5    -6.1    -6.2    -6.2 1
-1871  1  6    -5.1    -5.2    -5.2 1
-1871  1  7    -1.1    -1.2    -1.2 1
-1871  1  8     0.4     0.3     0.3 1
-1871  1  9    -0.8    -0.9    -0.9 1
-1871  1 10    -3.6    -3.7    -3.7 1
-1871  1 11    -5.2    -5.3    -5.3 1
-1871  1 12    -7.6    -7.7    -7.7 1
-1871  1 13    -8.9    -9.0    -9.0 1
-1871  1 14     2.7     2.6     2.6 1
-1871  1 15     2.1     2.0     2.0 1
-1871  1 16    -1.5    -1.6    -1.6 1
-1871  1 17     0.0    -0.1    -0.1 1
-1871  1 18     0.7     0.6     0.6 1
-1871  1 19     0.1     0.0     0.0 1
-1871  1 20    -0.3    -0.4    -0.4 1
-1871  1 21    -1.4    -1.5    -1.5 1
-1871  1 22    -3.6    -3.7    -3.7 1
-1871  1 23    -7.0    -7.1    -7.1 1
-1871  1 24   -10.9   -11.0   -11.0 1
-1871  1 25   -11.1   -11.2   -11.2 1
-1871  1 26   -10.7   -10.8   -10.8 1
-1871  1 27   -12.1   -12.2   -12.2 1
-1871  1 28    -9.8    -9.9    -9.9 1
-1871  1 29   -13.0   -13.1   -13.1 1
-1871  1 30    -7.3    -7.4    -7.4 1
-1871  1 31    -9.0    -9.1    -9.1 1
-1871  2  1   -10.9   -11.0   -11.0 1
-1871  2  2   -10.8   -10.9   -10.9 1
-1871  2  3   -12.2   -12.3   -12.3 1
-1871  2  4    -7.5    -7.6    -7.6 1
-1871  2  5   -12.1   -12.2   -12.2 1
-1871  2  6   -14.4   -14.5   -14.5 1
-1871  2  7   -19.3   -19.4   -19.4 1
-1871  2  8   -16.0   -16.1   -16.1 1
-1871  2  9   -17.6   -17.7   -17.7 1
-1871  2 10   -20.6   -20.7   -20.7 1
-1871  2 11   -19.2   -19.3   -19.3 1
-1871  2 12   -19.9   -20.0   -20.0 1
-1871  2 13   -19.7   -19.8   -19.8 1
-1871  2 14   -14.6   -14.7   -14.7 1
-1871  2 15    -6.0    -6.1    -6.1 1
-1871  2 16    -9.5    -9.6    -9.6 1
-1871  2 17   -13.0   -13.1   -13.1 1
-1871  2 18   -15.7   -15.8   -15.8 1
-1871  2 19   -13.6   -13.7   -13.7 1
-1871  2 20   -19.5   -19.6   -19.6 1
-1871  2 21   -21.2   -21.3   -21.3 1
-1871  2 22    -3.3    -3.4    -3.4 1
-1871  2 23     0.0    -0.1    -0.1 1
-1871  2 24    -2.4    -2.5    -2.5 1
-1871  2 25    -4.4    -4.5    -4.5 1
-1871  2 26    -7.5    -7.6    -7.6 1
-1871  2 27    -1.0    -1.1    -1.1 1
-1871  2 28    -6.8    -6.9    -6.9 1
-1871  3  1    -5.9    -6.0    -6.0 1
-1871  3  2    -2.1    -2.2    -2.2 1
-1871  3  3     1.7     1.6     1.6 1
-1871  3  4     2.9     2.8     2.8 1
-1871  3  5     4.0     3.9     3.9 1
-1871  3  6     4.2     4.1     4.1 1
-1871  3  7     2.4     2.3     2.3 1
-1871  3  8     4.8     4.7     4.7 1
-1871  3  9     2.5     2.4     2.4 1
-1871  3 10     0.7     0.6     0.6 1
-1871  3 11     0.2     0.1     0.1 1
-1871  3 12     3.1     3.0     3.0 1
-1871  3 13     4.0     3.9     3.9 1
-1871  3 14     3.3     3.2     3.2 1
-1871  3 15     0.9     0.8     0.8 1
-1871  3 16    -0.5    -0.6    -0.6 1
-1871  3 17    -2.6    -2.7    -2.7 1
-1871  3 18     0.5     0.4     0.4 1
-1871  3 19     5.4     5.3     5.3 1
-1871  3 20     5.8     5.7     5.7 1
-1871  3 21     6.9     6.8     6.8 1
-1871  3 22     6.3     6.2     6.2 1
-1871  3 23     1.7     1.6     1.6 1
-1871  3 24     2.5     2.4     2.4 1
-1871  3 25     3.5     3.4     3.4 1
-1871  3 26     3.0     2.9     2.9 1
-1871  3 27     1.3     1.2     1.2 1
-1871  3 28    -1.1    -1.2    -1.2 1
-1871  3 29    -0.9    -1.0    -1.0 1
-1871  3 30    -1.3    -1.4    -1.4 1
-1871  3 31     0.6     0.5     0.5 1
-1871  4  1    -1.9    -2.0    -2.0 1
-1871  4  2    -3.2    -3.3    -3.3 1
-1871  4  3    -2.5    -2.6    -2.6 1
-1871  4  4    -1.2    -1.3    -1.3 1
-1871  4  5    -0.7    -0.8    -0.8 1
-1871  4  6    -0.8    -0.9    -0.9 1
-1871  4  7     1.7     1.6     1.6 1
-1871  4  8     0.0    -0.1    -0.1 1
-1871  4  9     0.1     0.0     0.0 1
-1871  4 10     1.0     0.9     0.9 1
-1871  4 11     0.8     0.7     0.7 1
-1871  4 12     1.1     1.0     1.0 1
-1871  4 13     0.5     0.4     0.4 1
-1871  4 14    -0.8    -0.9    -0.9 1
-1871  4 15     3.0     2.9     2.9 1
-1871  4 16     3.7     3.6     3.6 1
-1871  4 17     1.9     1.8     1.8 1
-1871  4 18    -0.4    -0.5    -0.5 1
-1871  4 19     0.8     0.7     0.7 1
-1871  4 20     1.5     1.4     1.4 1
-1871  4 21    -0.1    -0.2    -0.2 1
-1871  4 22    -0.4    -0.5    -0.5 1
-1871  4 23    -0.9    -1.0    -1.0 1
-1871  4 24     0.4     0.3     0.3 1
-1871  4 25     0.9     0.8     0.8 1
-1871  4 26     3.2     3.1     3.1 1
-1871  4 27     3.6     3.5     3.5 1
-1871  4 28     4.1     4.0     4.0 1
-1871  4 29     2.8     2.7     2.7 1
-1871  4 30     1.6     1.5     1.5 1
-1871  5  1     2.4     2.3     2.3 1
-1871  5  2     2.9     2.8     2.8 1
-1871  5  3     3.1     3.0     3.0 1
-1871  5  4     2.5     2.4     2.4 1
-1871  5  5     4.5     4.4     4.4 1
-1871  5  6     5.8     5.7     5.7 1
-1871  5  7     6.7     6.6     6.6 1
-1871  5  8     6.1     6.0     6.0 1
-1871  5  9     6.4     6.3     6.3 1
-1871  5 10     0.8     0.7     0.7 1
-1871  5 11     2.6     2.5     2.5 1
-1871  5 12     5.0     4.9     4.9 1
-1871  5 13     3.7     3.6     3.6 1
-1871  5 14     0.7     0.6     0.6 1
-1871  5 15     0.9     0.8     0.8 1
-1871  5 16     4.0     3.9     3.9 1
-1871  5 17     1.9     1.8     1.8 1
-1871  5 18     2.0     1.9     1.9 1
-1871  5 19     2.1     2.0     2.0 1
-1871  5 20     7.1     7.0     7.0 1
-1871  5 21     6.6     6.5     6.5 1
-1871  5 22    10.3    10.2    10.2 1
-1871  5 23    13.3    13.2    13.2 1
-1871  5 24    13.9    13.8    13.8 1
-1871  5 25    15.5    15.4    15.4 1
-1871  5 26    14.0    13.9    13.9 1
-1871  5 27    13.3    13.2    13.2 1
-1871  5 28    13.7    13.6    13.6 1
-1871  5 29    10.5    10.4    10.4 1
-1871  5 30     9.2     9.1     9.1 1
-1871  5 31     2.7     2.6     2.6 1
-1871  6  1     1.9     1.8     1.8 1
-1871  6  2     2.0     1.9     1.9 1
-1871  6  3     4.4     4.3     4.3 1
-1871  6  4     6.8     6.7     6.7 1
-1871  6  5     8.4     8.3     8.3 1
-1871  6  6     9.0     8.9     8.9 1
-1871  6  7     8.9     8.8     8.8 1
-1871  6  8     9.3     9.2     9.2 1
-1871  6  9     9.0     8.9     8.9 1
-1871  6 10    12.0    11.9    11.9 1
-1871  6 11    12.4    12.3    12.3 1
-1871  6 12    13.9    13.8    13.8 1
-1871  6 13    15.4    15.3    15.3 1
-1871  6 14    15.8    15.7    15.7 1
-1871  6 15    17.5    17.4    17.4 1
-1871  6 16    16.8    16.7    16.7 1
-1871  6 17    17.8    17.7    17.7 1
-1871  6 18    18.4    18.3    18.3 1
-1871  6 19    17.4    17.3    17.3 1
-1871  6 20     8.1     8.0     8.0 1
-1871  6 21     7.1     7.0     7.0 1
-1871  6 22     7.0     6.9     6.9 1
-1871  6 23     9.0     8.9     8.9 1
-1871  6 24    10.6    10.5    10.5 1
-1871  6 25    10.6    10.5    10.5 1
-1871  6 26    13.7    13.6    13.6 1
-1871  6 27    11.4    11.3    11.3 1
-1871  6 28    10.9    10.8    10.8 1
-1871  6 29    12.0    11.9    11.9 1
-1871  6 30    11.4    11.3    11.3 1
-1871  7  1    12.5    12.4    12.4 1
-1871  7  2    12.6    12.5    12.5 1
-1871  7  3    15.9    15.8    15.8 1
-1871  7  4    16.7    16.6    16.6 1
-1871  7  5    15.7    15.6    15.6 1
-1871  7  6    17.6    17.5    17.5 1
-1871  7  7    17.4    17.3    17.3 1
-1871  7  8    18.1    18.0    18.0 1
-1871  7  9    17.8    17.7    17.7 1
-1871  7 10    20.0    19.9    19.9 1
-1871  7 11    17.0    16.9    16.9 1
-1871  7 12    21.3    21.2    21.2 1
-1871  7 13    19.2    19.1    19.1 1
-1871  7 14    19.7    19.6    19.6 1
-1871  7 15    20.3    20.2    20.2 1
-1871  7 16    18.7    18.6    18.6 1
-1871  7 17    18.2    18.1    18.1 1
-1871  7 18    15.3    15.2    15.2 1
-1871  7 19    16.2    16.1    16.1 1
-1871  7 20    15.3    15.2    15.2 1
-1871  7 21    15.7    15.6    15.6 1
-1871  7 22    16.8    16.7    16.7 1
-1871  7 23    15.2    15.1    15.1 1
-1871  7 24    15.4    15.3    15.3 1
-1871  7 25    15.0    14.9    14.9 1
-1871  7 26    15.3    15.2    15.2 1
-1871  7 27    13.0    12.9    12.9 1
-1871  7 28    16.0    15.9    15.9 1
-1871  7 29    15.5    15.4    15.4 1
-1871  7 30    15.7    15.6    15.6 1
-1871  7 31    15.6    15.5    15.5 1
-1871  8  1    16.7    16.6    16.6 1
-1871  8  2    11.7    11.6    11.6 1
-1871  8  3    16.4    16.3    16.3 1
-1871  8  4    17.7    17.6    17.6 1
-1871  8  5    16.4    16.3    16.3 1
-1871  8  6    16.7    16.6    16.6 1
-1871  8  7    15.5    15.4    15.4 1
-1871  8  8    17.4    17.3    17.3 1
-1871  8  9    19.3    19.2    19.2 1
-1871  8 10    19.7    19.6    19.6 1
-1871  8 11    20.6    20.5    20.5 1
-1871  8 12    20.6    20.5    20.5 1
-1871  8 13    20.0    19.9    19.9 1
-1871  8 14    17.1    17.0    17.0 1
-1871  8 15    15.7    15.6    15.6 1
-1871  8 16    14.4    14.3    14.3 1
-1871  8 17    12.9    12.8    12.8 1
-1871  8 18    14.7    14.6    14.6 1
-1871  8 19    17.0    16.9    16.9 1
-1871  8 20    16.4    16.3    16.3 1
-1871  8 21    14.8    14.7    14.7 1
-1871  8 22    14.5    14.4    14.4 1
-1871  8 23    14.1    14.0    14.0 1
-1871  8 24    14.7    14.6    14.6 1
-1871  8 25    14.1    14.0    14.0 1
-1871  8 26    13.6    13.5    13.5 1
-1871  8 27    12.5    12.4    12.4 1
-1871  8 28    12.0    11.9    11.9 1
-1871  8 29    12.7    12.6    12.6 1
-1871  8 30    15.1    15.0    15.0 1
-1871  8 31    14.8    14.7    14.7 1
-1871  9  1    17.6    17.5    17.5 1
-1871  9  2    17.5    17.4    17.4 1
-1871  9  3    15.2    15.1    15.1 1
-1871  9  4    14.6    14.5    14.5 1
-1871  9  5    15.5    15.4    15.4 1
-1871  9  6    14.5    14.4    14.4 1
-1871  9  7    12.1    12.0    12.0 1
-1871  9  8    12.2    12.1    12.1 1
-1871  9  9    11.7    11.6    11.6 1
-1871  9 10    11.6    11.6    11.6 1
-1871  9 11    12.0    12.0    12.0 1
-1871  9 12     9.6     9.6     9.6 1
-1871  9 13    11.8    11.8    11.8 1
-1871  9 14     9.2     9.2     9.2 1
-1871  9 15    11.0    11.0    11.0 1
-1871  9 16    11.9    11.9    11.9 1
-1871  9 17     6.2     6.2     6.2 1
-1871  9 18     3.0     3.0     3.0 1
-1871  9 19     2.9     2.9     2.9 1
-1871  9 20     4.2     4.2     4.2 1
-1871  9 21     6.6     6.6     6.6 1
-1871  9 22     4.9     4.9     4.9 1
-1871  9 23     2.9     2.9     2.9 1
-1871  9 24     3.2     3.2     3.2 1
-1871  9 25     1.8     1.8     1.8 1
-1871  9 26     3.4     3.4     3.4 1
-1871  9 27     5.6     5.6     5.6 1
-1871  9 28     8.0     8.0     8.0 1
-1871  9 29     3.7     3.7     3.7 1
-1871  9 30     1.9     1.9     1.9 1
-1871 10  1     2.0     2.0     2.0 1
-1871 10  2     1.1     1.1     1.1 1
-1871 10  3     0.0     0.0     0.0 1
-1871 10  4     3.2     3.2     3.2 1
-1871 10  5     3.4     3.4     3.4 1
-1871 10  6     6.2     6.2     6.2 1
-1871 10  7    10.0    10.0    10.0 1
-1871 10  8     7.6     7.6     7.6 1
-1871 10  9     2.1     2.1     2.1 1
-1871 10 10     1.1     1.1     1.1 1
-1871 10 11     0.8     0.8     0.8 1
-1871 10 12     1.5     1.5     1.5 1
-1871 10 13     5.6     5.6     5.6 1
-1871 10 14     5.2     5.2     5.2 1
-1871 10 15     3.6     3.6     3.6 1
-1871 10 16     4.2     4.2     4.2 1
-1871 10 17     6.7     6.7     6.7 1
-1871 10 18     7.0     7.0     7.0 1
-1871 10 19     6.9     6.9     6.9 1
-1871 10 20     6.0     6.0     6.0 1
-1871 10 21     5.8     5.8     5.8 1
-1871 10 22     7.7     7.7     7.7 1
-1871 10 23     8.3     8.3     8.3 1
-1871 10 24     9.2     9.2     9.2 1
-1871 10 25     8.2     8.2     8.2 1
-1871 10 26     7.9     7.9     7.9 1
-1871 10 27     6.4     6.4     6.4 1
-1871 10 28     4.1     4.1     4.1 1
-1871 10 29     6.0     6.0     6.0 1
-1871 10 30     5.4     5.4     5.4 1
-1871 10 31     4.2     4.2     4.2 1
-1871 11  1     0.1     0.1     0.1 1
-1871 11  2     2.1     2.1     2.1 1
-1871 11  3    -0.5    -0.5    -0.5 1
-1871 11  4    -2.1    -2.1    -2.1 1
-1871 11  5    -5.0    -5.0    -5.0 1
-1871 11  6    -5.7    -5.7    -5.7 1
-1871 11  7     1.3     1.3     1.3 1
-1871 11  8     2.0     2.0     2.0 1
-1871 11  9     3.6     3.6     3.6 1
-1871 11 10     0.3     0.3     0.3 1
-1871 11 11     0.4     0.4     0.4 1
-1871 11 12    -0.7    -0.7    -0.7 1
-1871 11 13    -2.9    -2.9    -2.9 1
-1871 11 14     0.2     0.2     0.2 1
-1871 11 15     2.1     2.1     2.1 1
-1871 11 16     0.5     0.5     0.5 1
-1871 11 17     1.1     1.1     1.1 1
-1871 11 18    -4.0    -4.0    -4.0 1
-1871 11 19    -7.3    -7.3    -7.3 1
-1871 11 20    -7.2    -7.2    -7.2 1
-1871 11 21    -4.4    -4.4    -4.4 1
-1871 11 22    -1.5    -1.5    -1.5 1
-1871 11 23    -0.5    -0.5    -0.5 1
-1871 11 24     1.0     1.0     1.0 1
-1871 11 25     0.3     0.3     0.3 1
-1871 11 26    -1.6    -1.6    -1.6 1
-1871 11 27    -1.5    -1.5    -1.5 1
-1871 11 28    -1.8    -1.8    -1.8 1
-1871 11 29    -2.0    -2.0    -2.0 1
-1871 11 30    -6.4    -6.4    -6.4 1
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-1871 12  3    -4.8    -4.8    -4.8 1
-1871 12  4   -10.8   -10.8   -10.8 1
-1871 12  5    -8.9    -8.9    -8.9 1
-1871 12  6    -8.4    -8.4    -8.4 1
-1871 12  7    -5.1    -5.1    -5.1 1
-1871 12  8    -6.5    -6.5    -6.5 1
-1871 12  9   -10.0   -10.0   -10.0 1
-1871 12 10   -13.0   -13.0   -13.0 1
-1871 12 11   -10.7   -10.7   -10.7 1
-1871 12 12     1.9     1.9     1.9 1
-1871 12 13     1.5     1.5     1.5 1
-1871 12 14     0.3     0.3     0.3 1
-1871 12 15     0.1     0.1     0.1 1
-1871 12 16     0.6     0.6     0.6 1
-1871 12 17    -1.9    -1.9    -1.9 1
-1871 12 18     2.4     2.4     2.4 1
-1871 12 19     5.2     5.2     5.2 1
-1871 12 20     2.4     2.3     2.3 1
-1871 12 21     0.9     0.8     0.8 1
-1871 12 22    -7.3    -7.4    -7.4 1
-1871 12 23    -9.5    -9.6    -9.6 1
-1871 12 24     0.2     0.1     0.1 1
-1871 12 25     2.8     2.7     2.7 1
-1871 12 26     2.3     2.2     2.2 1
-1871 12 27     0.9     0.8     0.8 1
-1871 12 28     3.0     2.9     2.9 1
-1871 12 29    -0.4    -0.5    -0.5 1
-1871 12 30     0.8     0.7     0.7 1
-1871 12 31     2.1     2.0     2.0 1
-1872  1  1     2.3     2.2     2.2 1
-1872  1  2     0.4     0.3     0.3 1
-1872  1  3    -0.4    -0.5    -0.5 1
-1872  1  4     0.9     0.8     0.8 1
-1872  1  5     0.8     0.7     0.7 1
-1872  1  6     1.4     1.3     1.3 1
-1872  1  7     1.9     1.8     1.8 1
-1872  1  8     1.4     1.3     1.3 1
-1872  1  9     0.3     0.2     0.2 1
-1872  1 10    -3.6    -3.7    -3.7 1
-1872  1 11    -4.7    -4.8    -4.8 1
-1872  1 12    -1.8    -1.9    -1.9 1
-1872  1 13    -2.2    -2.3    -2.3 1
-1872  1 14    -0.7    -0.8    -0.8 1
-1872  1 15    -0.1    -0.2    -0.2 1
-1872  1 16    -0.5    -0.6    -0.6 1
-1872  1 17    -1.4    -1.5    -1.5 1
-1872  1 18     0.3     0.2     0.2 1
-1872  1 19     0.9     0.8     0.8 1
-1872  1 20    -0.8    -0.9    -0.9 1
-1872  1 21    -0.7    -0.8    -0.8 1
-1872  1 22     0.4     0.3     0.3 1
-1872  1 23     0.5     0.4     0.4 1
-1872  1 24     0.6     0.5     0.5 1
-1872  1 25     1.9     1.8     1.8 1
-1872  1 26     0.8     0.7     0.7 1
-1872  1 27     0.7     0.6     0.6 1
-1872  1 28    -0.4    -0.5    -0.5 1
-1872  1 29     0.7     0.6     0.6 1
-1872  1 30    -0.1    -0.2    -0.2 1
-1872  1 31     2.3     2.2     2.2 1
-1872  2  1     2.5     2.4     2.4 1
-1872  2  2     0.2     0.1     0.1 1
-1872  2  3     0.1     0.0     0.0 1
-1872  2  4    -1.0    -1.1    -1.1 1
-1872  2  5    -0.4    -0.5    -0.5 1
-1872  2  6    -0.6    -0.7    -0.7 1
-1872  2  7     0.7     0.6     0.6 1
-1872  2  8     1.1     1.0     1.0 1
-1872  2  9    -0.6    -0.7    -0.7 1
-1872  2 10    -2.0    -2.1    -2.1 1
-1872  2 11    -0.6    -0.7    -0.7 1
-1872  2 12    -2.0    -2.1    -2.1 1
-1872  2 13    -4.9    -5.0    -5.0 1
-1872  2 14    -2.0    -2.1    -2.1 1
-1872  2 15    -3.8    -3.9    -3.9 1
-1872  2 16    -4.5    -4.6    -4.6 1
-1872  2 17    -4.6    -4.7    -4.7 1
-1872  2 18    -3.7    -3.8    -3.8 1
-1872  2 19     0.1     0.0     0.0 1
-1872  2 20     0.7     0.6     0.6 1
-1872  2 21     0.6     0.5     0.5 1
-1872  2 22     0.2     0.1     0.1 1
-1872  2 23     0.4     0.3     0.3 1
-1872  2 24    -0.1    -0.2    -0.2 1
-1872  2 25    -4.0    -4.1    -4.1 1
-1872  2 26    -4.7    -4.8    -4.8 1
-1872  2 27    -6.5    -6.6    -6.6 1
-1872  2 28    -2.6    -2.7    -2.7 1
-1872  2 29     0.6     0.5     0.5 1
-1872  3  1    -0.5    -0.6    -0.6 1
-1872  3  2    -3.7    -3.8    -3.8 1
-1872  3  3     1.1     1.0     1.0 1
-1872  3  4     3.5     3.4     3.4 1
-1872  3  5     4.8     4.7     4.7 1
-1872  3  6     4.6     4.5     4.5 1
-1872  3  7     2.3     2.2     2.2 1
-1872  3  8     1.6     1.5     1.5 1
-1872  3  9     1.2     1.1     1.1 1
-1872  3 10     1.8     1.7     1.7 1
-1872  3 11    -0.7    -0.8    -0.8 1
-1872  3 12    -0.2    -0.3    -0.3 1
-1872  3 13     0.6     0.5     0.5 1
-1872  3 14     0.6     0.5     0.5 1
-1872  3 15     1.2     1.1     1.1 1
-1872  3 16    -2.7    -2.8    -2.8 1
-1872  3 17    -5.6    -5.7    -5.7 1
-1872  3 18    -5.8    -5.9    -5.9 1
-1872  3 19    -8.6    -8.7    -8.7 1
-1872  3 20    -9.0    -9.1    -9.1 1
-1872  3 21    -6.4    -6.5    -6.5 1
-1872  3 22    -3.5    -3.6    -3.6 1
-1872  3 23    -5.6    -5.7    -5.7 1
-1872  3 24    -4.3    -4.4    -4.4 1
-1872  3 25    -2.5    -2.6    -2.6 1
-1872  3 26    -0.4    -0.5    -0.5 1
-1872  3 27     0.6     0.5     0.5 1
-1872  3 28     2.4     2.3     2.3 1
-1872  3 29     5.5     5.4     5.4 1
-1872  3 30     1.0     0.9     0.9 1
-1872  3 31     1.5     1.4     1.4 1
-1872  4  1    -0.1    -0.2    -0.2 1
-1872  4  2    -0.1    -0.2    -0.2 1
-1872  4  3    -0.5    -0.6    -0.6 1
-1872  4  4    -3.8    -3.9    -3.9 1
-1872  4  5     1.2     1.1     1.1 1
-1872  4  6     2.5     2.4     2.4 1
-1872  4  7     4.8     4.7     4.7 1
-1872  4  8     1.6     1.5     1.5 1
-1872  4  9     1.8     1.7     1.7 1
-1872  4 10     4.9     4.8     4.8 1
-1872  4 11     5.9     5.8     5.8 1
-1872  4 12     8.5     8.4     8.4 1
-1872  4 13     5.8     5.7     5.7 1
-1872  4 14     4.5     4.4     4.4 1
-1872  4 15     4.8     4.7     4.7 1
-1872  4 16     3.2     3.1     3.1 1
-1872  4 17     1.1     1.0     1.0 1
-1872  4 18     0.7     0.6     0.6 1
-1872  4 19     2.5     2.4     2.4 1
-1872  4 20     2.5     2.4     2.4 1
-1872  4 21     3.3     3.2     3.2 1
-1872  4 22     4.3     4.2     4.2 1
-1872  4 23     4.3     4.2     4.2 1
-1872  4 24     4.5     4.4     4.4 1
-1872  4 25     6.3     6.2     6.2 1
-1872  4 26     9.3     9.2     9.2 1
-1872  4 27    10.5    10.4    10.4 1
-1872  4 28     8.2     8.1     8.1 1
-1872  4 29     8.9     8.8     8.8 1
-1872  4 30     9.2     9.1     9.1 1
-1872  5  1    11.9    11.8    11.8 1
-1872  5  2    14.1    14.0    14.0 1
-1872  5  3     9.0     8.9     8.9 1
-1872  5  4     6.0     5.9     5.9 1
-1872  5  5    10.1    10.0    10.0 1
-1872  5  6     9.2     9.1     9.1 1
-1872  5  7     9.3     9.2     9.2 1
-1872  5  8     8.1     8.0     8.0 1
-1872  5  9     9.8     9.7     9.7 1
-1872  5 10     7.4     7.3     7.3 1
-1872  5 11     5.1     5.0     5.0 1
-1872  5 12     6.6     6.5     6.5 1
-1872  5 13    10.2    10.0    10.0 1
-1872  5 14    13.1    12.9    12.9 1
-1872  5 15    14.1    13.9    13.9 1
-1872  5 16    14.1    13.9    13.9 1
-1872  5 17     9.5     9.3     9.3 1
-1872  5 18     7.3     7.1     7.1 1
-1872  5 19     7.0     6.9     6.9 1
-1872  5 20     9.5     9.4     9.4 1
-1872  5 21    10.6    10.5    10.5 1
-1872  5 22     7.5     7.4     7.4 1
-1872  5 23    10.0     9.9     9.9 1
-1872  5 24    11.1    11.0    11.0 1
-1872  5 25    10.8    10.7    10.7 1
-1872  5 26    10.9    10.8    10.8 1
-1872  5 27    10.7    10.6    10.6 1
-1872  5 28    14.0    13.9    13.9 1
-1872  5 29    14.6    14.5    14.5 1
-1872  5 30    15.6    15.5    15.5 1
-1872  5 31    15.8    15.7    15.7 1
-1872  6  1    13.9    13.8    13.8 1
-1872  6  2    15.4    15.3    15.3 1
-1872  6  3    16.1    16.0    16.0 1
-1872  6  4    15.7    15.6    15.6 1
-1872  6  5    17.3    17.2    17.2 1
-1872  6  6    18.8    18.7    18.7 1
-1872  6  7    19.3    19.2    19.2 1
-1872  6  8    18.4    18.3    18.3 1
-1872  6  9    16.4    16.3    16.3 1
-1872  6 10    16.1    16.0    16.0 1
-1872  6 11    14.2    14.1    14.1 1
-1872  6 12    11.7    11.6    11.6 1
-1872  6 13     6.6     6.5     6.5 1
-1872  6 14     5.8     5.7     5.7 1
-1872  6 15     7.2     7.1     7.1 1
-1872  6 16     8.3     8.2     8.2 1
-1872  6 17    11.7    11.6    11.6 1
-1872  6 18    15.0    14.9    14.9 1
-1872  6 19    16.4    16.3    16.3 1
-1872  6 20    13.2    13.1    13.1 1
-1872  6 21    17.9    17.8    17.8 1
-1872  6 22    18.0    17.9    17.9 1
-1872  6 23    17.8    17.7    17.7 1
-1872  6 24    19.1    19.0    19.0 1
-1872  6 25    19.3    19.2    19.2 1
-1872  6 26    18.6    18.5    18.5 1
-1872  6 27    15.0    14.9    14.9 1
-1872  6 28    16.3    16.2    16.2 1
-1872  6 29    16.3    16.2    16.2 1
-1872  6 30    15.0    14.9    14.9 1
-1872  7  1    17.3    17.2    17.2 1
-1872  7  2    19.9    19.8    19.8 1
-1872  7  3    17.9    17.8    17.8 1
-1872  7  4    18.7    18.6    18.6 1
-1872  7  5    18.6    18.5    18.5 1
-1872  7  6    20.8    20.7    20.7 1
-1872  7  7    23.2    23.1    23.1 1
-1872  7  8    21.9    21.8    21.8 1
-1872  7  9    20.1    20.0    20.0 1
-1872  7 10    21.4    21.3    21.3 1
-1872  7 11    18.7    18.6    18.6 1
-1872  7 12    21.6    21.5    21.5 1
-1872  7 13    21.1    21.0    21.0 1
-1872  7 14    20.0    19.9    19.9 1
-1872  7 15    19.4    19.3    19.3 1
-1872  7 16    19.8    19.7    19.7 1
-1872  7 17    16.9    16.8    16.8 1
-1872  7 18    15.1    15.0    15.0 1
-1872  7 19    12.6    12.5    12.5 1
-1872  7 20    14.9    14.8    14.8 1
-1872  7 21    17.4    17.3    17.3 1
-1872  7 22    17.1    17.0    17.0 1
-1872  7 23    17.0    16.9    16.9 1
-1872  7 24    19.8    19.7    19.7 1
-1872  7 25    23.4    23.3    23.3 1
-1872  7 26    19.4    19.3    19.3 1
-1872  7 27    15.1    15.0    15.0 1
-1872  7 28    16.4    16.3    16.3 1
-1872  7 29    18.6    18.5    18.5 1
-1872  7 30    16.4    16.3    16.3 1
-1872  7 31    17.2    17.1    17.1 1
-1872  8  1    14.2    14.1    14.1 1
-1872  8  2    16.2    16.1    16.1 1
-1872  8  3    16.9    16.8    16.8 1
-1872  8  4    16.6    16.5    16.5 1
-1872  8  5    15.7    15.6    15.6 1
-1872  8  6    15.4    15.3    15.3 1
-1872  8  7    15.0    14.9    14.9 1
-1872  8  8    15.2    15.1    15.1 1
-1872  8  9    17.4    17.3    17.3 1
-1872  8 10    14.3    14.2    14.2 1
-1872  8 11    14.9    14.8    14.8 1
-1872  8 12    16.7    16.6    16.6 1
-1872  8 13    16.4    16.3    16.3 1
-1872  8 14    14.9    14.8    14.8 1
-1872  8 15    14.0    13.9    13.9 1
-1872  8 16    13.5    13.4    13.4 1
-1872  8 17    13.9    13.8    13.8 1
-1872  8 18    16.1    16.0    16.0 1
-1872  8 19    16.1    16.0    16.0 1
-1872  8 20    15.8    15.7    15.7 1
-1872  8 21    14.7    14.6    14.6 1
-1872  8 22    11.3    11.2    11.2 1
-1872  8 23    11.2    11.1    11.1 1
-1872  8 24    13.5    13.4    13.4 1
-1872  8 25    14.0    13.9    13.9 1
-1872  8 26    14.8    14.7    14.7 1
-1872  8 27    15.1    15.0    15.0 1
-1872  8 28    14.2    14.1    14.1 1
-1872  8 29    14.6    14.5    14.5 1
-1872  8 30    15.8    15.7    15.7 1
-1872  8 31    16.6    16.5    16.5 1
-1872  9  1    16.9    16.8    16.8 1
-1872  9  2    14.0    13.9    13.9 1
-1872  9  3    13.4    13.3    13.3 1
-1872  9  4    13.3    13.2    13.2 1
-1872  9  5    14.7    14.6    14.6 1
-1872  9  6    16.9    16.8    16.8 1
-1872  9  7    15.7    15.6    15.6 1
-1872  9  8    14.2    14.1    14.1 1
-1872  9  9    15.1    15.0    15.0 1
-1872  9 10    14.9    14.8    14.8 1
-1872  9 11    13.4    13.3    13.3 1
-1872  9 12    12.5    12.4    12.4 1
-1872  9 13     7.7     7.6     7.6 1
-1872  9 14     7.9     7.8     7.8 1
-1872  9 15     8.6     8.5     8.5 1
-1872  9 16     7.2     7.1     7.1 1
-1872  9 17     9.4     9.3     9.3 1
-1872  9 18    12.3    12.2    12.2 1
-1872  9 19    10.5    10.4    10.4 1
-1872  9 20     9.7     9.6     9.6 1
-1872  9 21    11.0    10.9    10.9 1
-1872  9 22     7.6     7.5     7.5 1
-1872  9 23     6.4     6.3     6.3 1
-1872  9 24     8.4     8.3     8.3 1
-1872  9 25    11.0    10.9    10.9 1
-1872  9 26     9.6     9.6     9.6 1
-1872  9 27     9.8     9.8     9.8 1
-1872  9 28     9.2     9.2     9.2 1
-1872  9 29    10.1    10.1    10.1 1
-1872  9 30     9.6     9.6     9.6 1
-1872 10  1     7.0     7.0     7.0 1
-1872 10  2    11.9    11.9    11.9 1
-1872 10  3    13.5    13.5    13.5 1
-1872 10  4    12.5    12.5    12.5 1
-1872 10  5     7.8     7.8     7.8 1
-1872 10  6     4.9     4.9     4.9 1
-1872 10  7     7.7     7.7     7.7 1
-1872 10  8     8.9     8.9     8.9 1
-1872 10  9     9.9     9.9     9.9 1
-1872 10 10     9.4     9.4     9.4 1
-1872 10 11     8.7     8.7     8.7 1
-1872 10 12     9.8     9.8     9.8 1
-1872 10 13     8.7     8.7     8.7 1
-1872 10 14     7.9     7.9     7.9 1
-1872 10 15    10.7    10.7    10.7 1
-1872 10 16    11.6    11.6    11.6 1
-1872 10 17     9.6     9.6     9.6 1
-1872 10 18     8.4     8.4     8.4 1
-1872 10 19     9.3     9.3     9.3 1
-1872 10 20     9.3     9.3     9.3 1
-1872 10 21     9.3     9.3     9.3 1
-1872 10 22    10.3    10.3    10.3 1
-1872 10 23     9.2     9.2     9.2 1
-1872 10 24    10.0    10.0    10.0 1
-1872 10 25     6.3     6.3     6.3 1
-1872 10 26     5.2     5.2     5.2 1
-1872 10 27     5.6     5.6     5.6 1
-1872 10 28     5.0     5.0     5.0 1
-1872 10 29     8.0     8.0     8.0 1
-1872 10 30     8.1     8.1     8.1 1
-1872 10 31     6.7     6.7     6.7 1
-1872 11  1     8.5     8.4     8.4 1
-1872 11  2     6.3     6.2     6.2 1
-1872 11  3     7.8     7.7     7.7 1
-1872 11  4     2.6     2.5     2.5 1
-1872 11  5    -1.1    -1.2    -1.2 1
-1872 11  6     6.5     6.4     6.4 1
-1872 11  7     9.9     9.8     9.8 1
-1872 11  8     6.6     6.5     6.5 1
-1872 11  9     2.8     2.7     2.7 1
-1872 11 10     0.5     0.4     0.4 1
-1872 11 11     1.1     1.0     1.0 1
-1872 11 12    -4.7    -4.8    -4.8 1
-1872 11 13    -2.6    -2.7    -2.7 1
-1872 11 14    -0.9    -1.0    -1.0 1
-1872 11 15     3.4     3.3     3.3 1
-1872 11 16     4.6     4.5     4.5 1
-1872 11 17     3.5     3.4     3.4 1
-1872 11 18     3.6     3.5     3.5 1
-1872 11 19     2.4     2.3     2.3 1
-1872 11 20     4.5     4.4     4.4 1
-1872 11 21     4.3     4.2     4.2 1
-1872 11 22     4.8     4.7     4.7 1
-1872 11 23     6.1     6.0     6.0 1
-1872 11 24     6.6     6.5     6.5 1
-1872 11 25     5.9     5.8     5.8 1
-1872 11 26     6.6     6.5     6.5 1
-1872 11 27     7.1     7.0     7.0 1
-1872 11 28     2.5     2.4     2.4 1
-1872 11 29    -0.7    -0.8    -0.8 1
-1872 11 30    -0.6    -0.7    -0.7 1
-1872 12  1     2.7     2.6     2.6 1
-1872 12  2     4.3     4.2     4.2 1
-1872 12  3    -0.6    -0.7    -0.7 1
-1872 12  4    -1.7    -1.8    -1.8 1
-1872 12  5    -6.5    -6.6    -6.6 1
-1872 12  6    -5.9    -6.0    -6.0 1
-1872 12  7     2.2     2.1     2.1 1
-1872 12  8     2.2     2.1     2.1 1
-1872 12  9     2.1     2.0     2.0 1
-1872 12 10     4.1     4.0     4.0 1
-1872 12 11    -0.8    -0.9    -0.9 1
-1872 12 12    -4.0    -4.1    -4.1 1
-1872 12 13    -3.6    -3.7    -3.7 1
-1872 12 14    -4.2    -4.3    -4.3 1
-1872 12 15    -4.2    -4.3    -4.3 1
-1872 12 16    -5.8    -5.9    -5.9 1
-1872 12 17    -8.7    -8.8    -8.8 1
-1872 12 18    -9.6    -9.7    -9.7 1
-1872 12 19    -5.5    -5.6    -5.6 1
-1872 12 20    -6.8    -6.9    -6.9 1
-1872 12 21    -7.0    -7.1    -7.1 1
-1872 12 22    -9.9   -10.0   -10.0 1
-1872 12 23    -6.2    -6.3    -6.3 1
-1872 12 24     3.3     3.2     3.2 1
-1872 12 25     2.0     1.9     1.9 1
-1872 12 26     3.9     3.8     3.8 1
-1872 12 27     3.3     3.2     3.2 1
-1872 12 28     2.8     2.7     2.7 1
-1872 12 29     2.1     2.0     2.0 1
-1872 12 30     3.9     3.8     3.8 1
-1872 12 31     3.3     3.2     3.2 1
-1873  1  1     3.1     3.0     3.0 1
-1873  1  2     3.6     3.5     3.5 1
-1873  1  3     4.2     4.1     4.1 1
-1873  1  4     3.4     3.3     3.3 1
-1873  1  5     5.2     5.1     5.1 1
-1873  1  6     3.5     3.4     3.4 1
-1873  1  7     2.3     2.2     2.2 1
-1873  1  8     5.4     5.3     5.3 1
-1873  1  9     3.2     3.1     3.1 1
-1873  1 10     5.6     5.5     5.5 1
-1873  1 11     6.1     6.0     6.0 1
-1873  1 12     5.9     5.8     5.8 1
-1873  1 13     3.6     3.5     3.5 1
-1873  1 14     0.3     0.2     0.2 1
-1873  1 15     4.9     4.8     4.8 1
-1873  1 16     2.8     2.7     2.7 1
-1873  1 17    -0.1    -0.2    -0.2 1
-1873  1 18     1.6     1.5     1.5 1
-1873  1 19     3.1     3.0     3.0 1
-1873  1 20     4.5     4.4     4.4 1
-1873  1 21     2.6     2.5     2.5 1
-1873  1 22     1.6     1.5     1.5 1
-1873  1 23     0.7     0.6     0.6 1
-1873  1 24    -2.0    -2.1    -2.1 1
-1873  1 25    -2.0    -2.1    -2.1 1
-1873  1 26    -0.3    -0.4    -0.4 1
-1873  1 27    -3.3    -3.4    -3.4 1
-1873  1 28    -1.7    -1.8    -1.8 1
-1873  1 29    -4.7    -4.8    -4.8 1
-1873  1 30    -1.2    -1.3    -1.3 1
-1873  1 31    -3.4    -3.5    -3.5 1
-1873  2  1    -6.7    -6.8    -6.8 1
-1873  2  2    -2.3    -2.4    -2.4 1
-1873  2  3    -1.7    -1.8    -1.8 1
-1873  2  4    -1.4    -1.5    -1.5 1
-1873  2  5    -1.5    -1.6    -1.6 1
-1873  2  6    -2.2    -2.3    -2.3 1
-1873  2  7    -3.2    -3.3    -3.3 1
-1873  2  8    -3.6    -3.7    -3.7 1
-1873  2  9    -3.8    -3.9    -3.9 1
-1873  2 10    -3.6    -3.7    -3.7 1
-1873  2 11    -5.4    -5.5    -5.5 1
-1873  2 12    -6.6    -6.7    -6.7 1
-1873  2 13    -6.6    -6.7    -6.7 1
-1873  2 14    -5.1    -5.2    -5.2 1
-1873  2 15    -0.3    -0.4    -0.4 1
-1873  2 16    -1.0    -1.1    -1.1 1
-1873  2 17     1.8     1.7     1.7 1
-1873  2 18     3.0     2.9     2.9 1
-1873  2 19     2.7     2.6     2.6 1
-1873  2 20     3.0     2.9     2.9 1
-1873  2 21    -0.8    -0.9    -0.9 1
-1873  2 22     0.3     0.2     0.2 1
-1873  2 23    -5.2    -5.3    -5.3 1
-1873  2 24   -11.8   -11.9   -11.9 1
-1873  2 25    -5.3    -5.4    -5.4 1
-1873  2 26    -0.9    -1.0    -1.0 1
-1873  2 27     1.4     1.3     1.3 1
-1873  2 28     2.8     2.7     2.7 1
-1873  3  1     0.5     0.4     0.4 1
-1873  3  2    -0.8    -0.9    -0.9 1
-1873  3  3    -0.3    -0.4    -0.4 1
-1873  3  4    -3.4    -3.5    -3.5 1
-1873  3  5    -4.9    -5.0    -5.0 1
-1873  3  6    -3.7    -3.8    -3.8 1
-1873  3  7    -5.0    -5.1    -5.1 1
-1873  3  8    -1.8    -1.9    -1.9 1
-1873  3  9     0.2     0.1     0.1 1
-1873  3 10     2.0     1.9     1.9 1
-1873  3 11     1.2     1.1     1.1 1
-1873  3 12    -0.8    -0.9    -0.9 1
-1873  3 13    -5.5    -5.6    -5.6 1
-1873  3 14    -8.0    -8.1    -8.1 1
-1873  3 15    -9.1    -9.2    -9.2 1
-1873  3 16    -6.5    -6.6    -6.6 1
-1873  3 17    -0.1    -0.2    -0.2 1
-1873  3 18    -1.3    -1.4    -1.4 1
-1873  3 19    -0.3    -0.4    -0.4 1
-1873  3 20    -1.0    -1.1    -1.1 1
-1873  3 21     0.4     0.3     0.3 1
-1873  3 22    -4.6    -4.7    -4.7 1
-1873  3 23    -0.3    -0.4    -0.4 1
-1873  3 24     2.6     2.5     2.5 1
-1873  3 25     4.0     3.9     3.9 1
-1873  3 26     4.8     4.7     4.7 1
-1873  3 27     4.6     4.5     4.5 1
-1873  3 28     5.3     5.2     5.2 1
-1873  3 29     4.7     4.6     4.6 1
-1873  3 30     5.7     5.6     5.6 1
-1873  3 31     4.9     4.8     4.8 1
-1873  4  1     3.4     3.3     3.3 1
-1873  4  2     5.0     4.9     4.9 1
-1873  4  3     7.0     6.9     6.9 1
-1873  4  4     4.9     4.8     4.8 1
-1873  4  5     2.4     2.3     2.3 1
-1873  4  6     3.2     3.1     3.1 1
-1873  4  7     2.2     2.1     2.1 1
-1873  4  8     1.0     0.9     0.9 1
-1873  4  9     2.9     2.8     2.8 1
-1873  4 10     7.5     7.4     7.4 1
-1873  4 11    10.2    10.1    10.1 1
-1873  4 12     0.6     0.5     0.5 1
-1873  4 13     2.3     2.2     2.2 1
-1873  4 14     1.0     0.9     0.9 1
-1873  4 15     1.5     1.4     1.4 1
-1873  4 16     2.2     2.1     2.1 1
-1873  4 17     4.0     3.9     3.9 1
-1873  4 18     5.9     5.8     5.8 1
-1873  4 19     4.9     4.8     4.8 1
-1873  4 20     2.8     2.7     2.7 1
-1873  4 21     6.0     5.9     5.9 1
-1873  4 22    -4.8    -4.9    -4.9 1
-1873  4 23    -4.2    -4.3    -4.3 1
-1873  4 24    -1.9    -2.0    -2.0 1
-1873  4 25    -1.9    -2.0    -2.0 1
-1873  4 26     1.1     1.0     1.0 1
-1873  4 27     2.0     1.9     1.9 1
-1873  4 28     3.4     3.2     3.2 1
-1873  4 29    -0.2    -0.4    -0.4 1
-1873  4 30     0.0    -0.2    -0.2 1
-1873  5  1     0.9     0.7     0.7 1
-1873  5  2     2.5     2.3     2.3 1
-1873  5  3     2.0     1.8     1.8 1
-1873  5  4     3.2     3.0     3.0 1
-1873  5  5     4.4     4.2     4.2 1
-1873  5  6     3.9     3.7     3.7 1
-1873  5  7     4.6     4.4     4.4 1
-1873  5  8     6.1     5.9     5.9 1
-1873  5  9    10.7    10.5    10.5 1
-1873  5 10     9.1     8.9     8.9 1
-1873  5 11     5.3     5.1     5.1 1
-1873  5 12     3.0     2.8     2.8 1
-1873  5 13     2.2     2.0     2.0 1
-1873  5 14     4.5     4.3     4.3 1
-1873  5 15     5.5     5.3     5.3 1
-1873  5 16     1.5     1.3     1.3 1
-1873  5 17     2.6     2.4     2.4 1
-1873  5 18     3.3     3.1     3.1 1
-1873  5 19     6.5     6.3     6.3 1
-1873  5 20     8.7     8.5     8.5 1
-1873  5 21     8.5     8.3     8.3 1
-1873  5 22    10.0     9.8     9.8 1
-1873  5 23     9.8     9.6     9.6 1
-1873  5 24     7.4     7.2     7.2 1
-1873  5 25     6.5     6.3     6.3 1
-1873  5 26     8.6     8.4     8.4 1
-1873  5 27     9.3     9.1     9.1 1
-1873  5 28     8.7     8.5     8.5 1
-1873  5 29     9.2     9.0     9.0 1
-1873  5 30     8.5     8.3     8.3 1
-1873  5 31    10.1     9.9     9.9 1
-1873  6  1    12.3    12.1    12.1 1
-1873  6  2    16.1    15.9    15.9 1
-1873  6  3    19.3    19.1    19.1 1
-1873  6  4    18.8    18.6    18.6 1
-1873  6  5    18.1    17.9    17.9 1
-1873  6  6    10.4    10.3    10.3 1
-1873  6  7     7.6     7.5     7.5 1
-1873  6  8     8.7     8.6     8.6 1
-1873  6  9     9.5     9.4     9.4 1
-1873  6 10    11.3    11.2    11.2 1
-1873  6 11    13.4    13.3    13.3 1
-1873  6 12    15.4    15.3    15.3 1
-1873  6 13    15.1    15.0    15.0 1
-1873  6 14    15.0    14.9    14.9 1
-1873  6 15    17.6    17.5    17.5 1
-1873  6 16    18.2    18.1    18.1 1
-1873  6 17    15.8    15.7    15.7 1
-1873  6 18    16.4    16.3    16.3 1
-1873  6 19    18.9    18.8    18.8 1
-1873  6 20    16.7    16.6    16.6 1
-1873  6 21    17.7    17.6    17.6 1
-1873  6 22    17.3    17.2    17.2 1
-1873  6 23    18.0    17.9    17.9 1
-1873  6 24    17.6    17.5    17.5 1
-1873  6 25    13.8    13.7    13.7 1
-1873  6 26    13.5    13.4    13.4 1
-1873  6 27    14.8    14.7    14.7 1
-1873  6 28    16.2    16.1    16.1 1
-1873  6 29    12.5    12.4    12.4 1
-1873  6 30    15.4    15.3    15.3 1
-1873  7  1    16.6    16.5    16.5 1
-1873  7  2    17.6    17.5    17.5 1
-1873  7  3    16.7    16.6    16.6 1
-1873  7  4    16.6    16.5    16.5 1
-1873  7  5    17.8    17.7    17.7 1
-1873  7  6    19.1    19.0    19.0 1
-1873  7  7    21.7    21.6    21.6 1
-1873  7  8    21.8    21.7    21.7 1
-1873  7  9    21.6    21.5    21.5 1
-1873  7 10    19.9    19.8    19.8 1
-1873  7 11    19.2    19.1    19.1 1
-1873  7 12    18.4    18.3    18.3 1
-1873  7 13    18.1    18.0    18.0 1
-1873  7 14    18.2    18.1    18.1 1
-1873  7 15    18.0    17.9    17.9 1
-1873  7 16    16.1    16.0    16.0 1
-1873  7 17    16.6    16.5    16.5 1
-1873  7 18    16.7    16.6    16.6 1
-1873  7 19    15.4    15.3    15.3 1
-1873  7 20    16.3    16.2    16.2 1
-1873  7 21    17.2    17.1    17.1 1
-1873  7 22    17.2    17.1    17.1 1
-1873  7 23    15.8    15.7    15.7 1
-1873  7 24    17.7    17.6    17.6 1
-1873  7 25    19.4    19.3    19.3 1
-1873  7 26    19.6    19.5    19.5 1
-1873  7 27    20.2    20.1    20.1 1
-1873  7 28    21.3    21.2    21.2 1
-1873  7 29    19.1    19.0    19.0 1
-1873  7 30    18.9    18.8    18.8 1
-1873  7 31    19.2    19.1    19.1 1
-1873  8  1    18.0    17.9    17.9 1
-1873  8  2    16.5    16.4    16.4 1
-1873  8  3    16.2    16.1    16.1 1
-1873  8  4    16.3    16.2    16.2 1
-1873  8  5    14.8    14.7    14.7 1
-1873  8  6    14.0    13.9    13.9 1
-1873  8  7    15.0    14.9    14.9 1
-1873  8  8    17.6    17.5    17.5 1
-1873  8  9    15.6    15.5    15.5 1
-1873  8 10    14.6    14.5    14.5 1
-1873  8 11    11.2    11.1    11.1 1
-1873  8 12    13.5    13.4    13.4 1
-1873  8 13    14.6    14.5    14.5 1
-1873  8 14    14.7    14.6    14.6 1
-1873  8 15    15.7    15.6    15.6 1
-1873  8 16    16.6    16.5    16.5 1
-1873  8 17    16.6    16.5    16.5 1
-1873  8 18    14.4    14.3    14.3 1
-1873  8 19    15.6    15.5    15.5 1
-1873  8 20    15.5    15.4    15.4 1
-1873  8 21    15.2    15.1    15.1 1
-1873  8 22    15.9    15.8    15.8 1
-1873  8 23    15.9    15.8    15.8 1
-1873  8 24    16.5    16.4    16.4 1
-1873  8 25    14.7    14.6    14.6 1
-1873  8 26    15.0    14.9    14.9 1
-1873  8 27    17.0    16.9    16.9 1
-1873  8 28    16.2    16.1    16.1 1
-1873  8 29    16.2    16.1    16.1 1
-1873  8 30    15.2    15.1    15.1 1
-1873  8 31    14.3    14.2    14.2 1
-1873  9  1    13.9    13.8    13.8 1
-1873  9  2    15.2    15.1    15.1 1
-1873  9  3    17.5    17.4    17.4 1
-1873  9  4    15.5    15.4    15.4 1
-1873  9  5    14.2    14.1    14.1 1
-1873  9  6    14.1    14.0    14.0 1
-1873  9  7    14.0    13.9    13.9 1
-1873  9  8    12.8    12.7    12.7 1
-1873  9  9    12.7    12.6    12.6 1
-1873  9 10    13.0    12.9    12.9 1
-1873  9 11    11.9    11.8    11.8 1
-1873  9 12    12.9    12.8    12.8 1
-1873  9 13    12.5    12.4    12.4 1
-1873  9 14    11.0    10.9    10.9 1
-1873  9 15    11.7    11.6    11.6 1
-1873  9 16    12.6    12.5    12.5 1
-1873  9 17    11.4    11.3    11.3 1
-1873  9 18    10.9    10.8    10.8 1
-1873  9 19    10.7    10.6    10.6 1
-1873  9 20     9.8     9.7     9.7 1
-1873  9 21    10.8    10.7    10.7 1
-1873  9 22     8.5     8.4     8.4 1
-1873  9 23     7.4     7.3     7.3 1
-1873  9 24    10.4    10.3    10.3 1
-1873  9 25    11.8    11.7    11.7 1
-1873  9 26    12.8    12.7    12.7 1
-1873  9 27    12.5    12.4    12.4 1
-1873  9 28    12.4    12.3    12.3 1
-1873  9 29     8.4     8.3     8.3 1
-1873  9 30     7.9     7.8     7.8 1
-1873 10  1     8.1     8.0     8.0 1
-1873 10  2     6.2     6.1     6.1 1
-1873 10  3     4.4     4.3     4.3 1
-1873 10  4     4.2     4.1     4.1 1
-1873 10  5     6.5     6.4     6.4 1
-1873 10  6     7.6     7.5     7.5 1
-1873 10  7     8.6     8.5     8.5 1
-1873 10  8     8.4     8.3     8.3 1
-1873 10  9     5.6     5.5     5.5 1
-1873 10 10     8.1     8.1     8.1 1
-1873 10 11    11.9    11.9    11.9 1
-1873 10 12     9.9     9.9     9.9 1
-1873 10 13     8.5     8.5     8.5 1
-1873 10 14     3.7     3.7     3.7 1
-1873 10 15     4.8     4.8     4.8 1
-1873 10 16     3.1     3.1     3.1 1
-1873 10 17     7.2     7.2     7.2 1
-1873 10 18     9.3     9.3     9.3 1
-1873 10 19     5.1     5.1     5.1 1
-1873 10 20     5.8     5.7     5.7 1
-1873 10 21     5.6     5.5     5.5 1
-1873 10 22     5.1     5.0     5.0 1
-1873 10 23     7.1     7.0     7.0 1
-1873 10 24     7.9     7.8     7.8 1
-1873 10 25     8.1     8.0     8.0 1
-1873 10 26     7.2     7.1     7.1 1
-1873 10 27     2.2     2.1     2.1 1
-1873 10 28     0.8     0.7     0.7 1
-1873 10 29     3.8     3.7     3.7 1
-1873 10 30     5.7     5.6     5.6 1
-1873 10 31     5.3     5.2     5.2 1
-1873 11  1     6.4     6.3     6.3 1
-1873 11  2     7.4     7.3     7.3 1
-1873 11  3     6.8     6.7     6.7 1
-1873 11  4     8.6     8.5     8.5 1
-1873 11  5     7.3     7.2     7.2 1
-1873 11  6     3.8     3.7     3.7 1
-1873 11  7     3.8     3.7     3.7 1
-1873 11  8     2.4     2.3     2.3 1
-1873 11  9     0.8     0.7     0.7 1
-1873 11 10     0.9     0.8     0.8 1
-1873 11 11     1.1     1.0     1.0 1
-1873 11 12     0.3     0.2     0.2 1
-1873 11 13    -1.0    -1.1    -1.1 1
-1873 11 14    -3.3    -3.4    -3.4 1
-1873 11 15    -2.3    -2.4    -2.4 1
-1873 11 16     1.9     1.8     1.8 1
-1873 11 17     4.3     4.2     4.2 1
-1873 11 18    -1.1    -1.2    -1.2 1
-1873 11 19     3.8     3.7     3.7 1
-1873 11 20    -0.4    -0.5    -0.5 1
-1873 11 21     1.7     1.6     1.6 1
-1873 11 22     2.6     2.5     2.5 1
-1873 11 23     1.3     1.2     1.2 1
-1873 11 24     1.2     1.1     1.1 1
-1873 11 25     0.1     0.0     0.0 1
-1873 11 26     1.8     1.7     1.7 1
-1873 11 27     0.2     0.1     0.1 1
-1873 11 28     3.6     3.5     3.5 1
-1873 11 29     1.3     1.2     1.2 1
-1873 11 30     1.8     1.7     1.7 1
-1873 12  1    -0.7    -0.8    -0.8 1
-1873 12  2     5.2     5.1     5.1 1
-1873 12  3     3.4     3.3     3.3 1
-1873 12  4     3.3     3.2     3.2 1
-1873 12  5     1.5     1.4     1.4 1
-1873 12  6    -5.1    -5.2    -5.2 1
-1873 12  7     1.1     1.0     1.0 1
-1873 12  8     7.4     7.3     7.3 1
-1873 12  9     7.9     7.8     7.8 1
-1873 12 10     3.8     3.7     3.7 1
-1873 12 11     0.7     0.6     0.6 1
-1873 12 12    -1.9    -2.0    -2.0 1
-1873 12 13     2.4     2.3     2.3 1
-1873 12 14     2.4     2.3     2.3 1
-1873 12 15     2.4     2.3     2.3 1
-1873 12 16     2.1     2.0     2.0 1
-1873 12 17    -1.2    -1.3    -1.3 1
-1873 12 18    -2.6    -2.7    -2.7 1
-1873 12 19    -1.0    -1.1    -1.1 1
-1873 12 20     2.0     1.9     1.9 1
-1873 12 21    -1.1    -1.2    -1.2 1
-1873 12 22     1.3     1.2     1.2 1
-1873 12 23     1.4     1.3     1.3 1
-1873 12 24    -7.1    -7.2    -7.2 1
-1873 12 25    -3.5    -3.6    -3.6 1
-1873 12 26     2.9     2.8     2.8 1
-1873 12 27    -6.0    -6.1    -6.1 1
-1873 12 28    -8.4    -8.5    -8.5 1
-1873 12 29    -7.1    -7.2    -7.2 1
-1873 12 30     0.2     0.1     0.1 1
-1873 12 31    -0.7    -0.8    -0.8 1
-1874  1  1     1.7     1.6     1.6 1
-1874  1  2     2.3     2.2     2.2 1
-1874  1  3     1.7     1.6     1.6 1
-1874  1  4     2.5     2.4     2.4 1
-1874  1  5     1.6     1.5     1.5 1
-1874  1  6     2.3     2.2     2.2 1
-1874  1  7     5.9     5.8     5.8 1
-1874  1  8     2.1     2.0     2.0 1
-1874  1  9     0.4     0.3     0.3 1
-1874  1 10     1.6     1.5     1.5 1
-1874  1 11     2.0     1.8     1.8 1
-1874  1 12     1.5     1.3     1.3 1
-1874  1 13     0.0    -0.2    -0.2 1
-1874  1 14    -2.4    -2.6    -2.6 1
-1874  1 15    -4.4    -4.6    -4.6 1
-1874  1 16     3.8     3.6     3.6 1
-1874  1 17     3.0     2.8     2.8 1
-1874  1 18     1.3     1.1     1.1 1
-1874  1 19     2.8     2.6     2.6 1
-1874  1 20     0.0    -0.2    -0.2 1
-1874  1 21     0.7     0.5     0.5 1
-1874  1 22     5.4     5.2     5.2 1
-1874  1 23     3.7     3.5     3.5 1
-1874  1 24     1.6     1.4     1.4 1
-1874  1 25    -2.1    -2.3    -2.3 1
-1874  1 26     4.6     4.4     4.4 1
-1874  1 27     0.7     0.5     0.5 1
-1874  1 28    -1.8    -2.0    -2.0 1
-1874  1 29    -0.2    -0.4    -0.4 1
-1874  1 30     2.3     2.1     2.1 1
-1874  1 31    -2.8    -2.9    -2.9 1
-1874  2  1    -5.5    -5.6    -5.6 1
-1874  2  2    -0.1    -0.2    -0.2 1
-1874  2  3     1.1     1.0     1.0 1
-1874  2  4    -2.9    -3.0    -3.0 1
-1874  2  5     3.0     2.9     2.9 1
-1874  2  6    -3.5    -3.6    -3.6 1
-1874  2  7    -5.1    -5.2    -5.2 1
-1874  2  8    -9.2    -9.3    -9.3 1
-1874  2  9    -8.6    -8.7    -8.7 1
-1874  2 10    -7.9    -8.0    -8.0 1
-1874  2 11     0.5     0.4     0.4 1
-1874  2 12    -1.4    -1.5    -1.5 1
-1874  2 13     0.3     0.2     0.2 1
-1874  2 14     1.1     1.0     1.0 1
-1874  2 15     0.9     0.8     0.8 1
-1874  2 16     2.3     2.2     2.2 1
-1874  2 17     3.0     2.9     2.9 1
-1874  2 18     1.1     1.0     1.0 1
-1874  2 19     0.2     0.1     0.1 1
-1874  2 20     0.4     0.3     0.3 1
-1874  2 21    -1.0    -1.1    -1.1 1
-1874  2 22     0.3     0.2     0.2 1
-1874  2 23    -0.6    -0.7    -0.7 1
-1874  2 24     0.1     0.0     0.0 1
-1874  2 25    -1.3    -1.4    -1.4 1
-1874  2 26    -1.3    -1.4    -1.4 1
-1874  2 27     0.3     0.2     0.2 1
-1874  2 28    -1.0    -1.1    -1.1 1
-1874  3  1    -1.3    -1.4    -1.4 1
-1874  3  2    -1.6    -1.7    -1.7 1
-1874  3  3    -3.1    -3.2    -3.2 1
-1874  3  4    -1.8    -1.9    -1.9 1
-1874  3  5     0.5     0.4     0.4 1
-1874  3  6    -0.8    -0.9    -0.9 1
-1874  3  7     3.2     3.1     3.1 1
-1874  3  8     4.4     4.3     4.3 1
-1874  3  9     1.1     1.0     1.0 1
-1874  3 10    -2.5    -2.6    -2.6 1
-1874  3 11    -3.0    -3.1    -3.1 1
-1874  3 12    -8.3    -8.4    -8.4 1
-1874  3 13    -5.4    -5.5    -5.5 1
-1874  3 14    -3.4    -3.5    -3.5 1
-1874  3 15    -3.4    -3.5    -3.5 1
-1874  3 16    -2.3    -2.4    -2.4 1
-1874  3 17     2.2     2.1     2.1 1
-1874  3 18     3.3     3.2     3.2 1
-1874  3 19     0.1     0.0     0.0 1
-1874  3 20    -1.2    -1.3    -1.3 1
-1874  3 21    -1.9    -2.0    -2.0 1
-1874  3 22     1.3     1.2     1.2 1
-1874  3 23     4.6     4.5     4.5 1
-1874  3 24     7.6     7.5     7.5 1
-1874  3 25     3.0     2.9     2.9 1
-1874  3 26     1.4     1.3     1.3 1
-1874  3 27    -0.4    -0.5    -0.5 1
-1874  3 28    -1.5    -1.6    -1.6 1
-1874  3 29    -1.7    -1.8    -1.8 1
-1874  3 30    -1.0    -1.1    -1.1 1
-1874  3 31    -1.8    -1.9    -1.9 1
-1874  4  1    -1.5    -1.6    -1.6 1
-1874  4  2    -1.0    -1.1    -1.1 1
-1874  4  3     3.7     3.6     3.6 1
-1874  4  4     5.4     5.3     5.3 1
-1874  4  5     5.5     5.4     5.4 1
-1874  4  6     2.6     2.5     2.5 1
-1874  4  7     3.3     3.2     3.2 1
-1874  4  8     3.7     3.6     3.6 1
-1874  4  9     4.4     4.3     4.3 1
-1874  4 10     1.3     1.2     1.2 1
-1874  4 11     2.6     2.5     2.5 1
-1874  4 12     2.6     2.5     2.5 1
-1874  4 13     1.2     1.1     1.1 1
-1874  4 14     1.3     1.2     1.2 1
-1874  4 15     2.3     2.2     2.2 1
-1874  4 16     3.8     3.7     3.7 1
-1874  4 17     3.3     3.2     3.2 1
-1874  4 18     4.7     4.5     4.5 1
-1874  4 19     5.5     5.3     5.3 1
-1874  4 20     3.9     3.7     3.7 1
-1874  4 21     9.0     8.8     8.8 1
-1874  4 22    12.9    12.7    12.7 1
-1874  4 23     9.0     8.8     8.8 1
-1874  4 24     5.9     5.7     5.7 1
-1874  4 25     5.3     5.1     5.1 1
-1874  4 26     3.0     2.8     2.8 1
-1874  4 27     0.4     0.2     0.2 1
-1874  4 28     1.9     1.7     1.7 1
-1874  4 29     4.7     4.5     4.5 1
-1874  4 30     2.7     2.5     2.5 1
-1874  5  1     2.0     1.8     1.8 1
-1874  5  2     0.2     0.0     0.0 1
-1874  5  3     1.0     0.8     0.8 1
-1874  5  4     1.2     1.0     1.0 1
-1874  5  5     2.1     1.9     1.9 1
-1874  5  6     3.4     3.2     3.2 1
-1874  5  7     4.3     4.1     4.1 1
-1874  5  8     6.9     6.7     6.7 1
-1874  5  9     9.0     8.8     8.8 1
-1874  5 10     7.5     7.3     7.3 1
-1874  5 11     7.2     7.0     7.0 1
-1874  5 12     4.8     4.6     4.6 1
-1874  5 13     4.6     4.4     4.4 1
-1874  5 14     2.7     2.5     2.5 1
-1874  5 15     2.0     1.8     1.8 1
-1874  5 16     3.4     3.2     3.2 1
-1874  5 17     4.2     4.0     4.0 1
-1874  5 18     8.3     8.1     8.1 1
-1874  5 19     8.9     8.7     8.7 1
-1874  5 20     9.9     9.7     9.7 1
-1874  5 21     6.5     6.3     6.3 1
-1874  5 22     6.3     6.1     6.1 1
-1874  5 23     4.5     4.3     4.3 1
-1874  5 24     4.2     4.0     4.0 1
-1874  5 25     7.1     6.9     6.9 1
-1874  5 26    10.3    10.1    10.1 1
-1874  5 27    15.0    14.8    14.8 1
-1874  5 28    14.1    13.9    13.9 1
-1874  5 29    13.6    13.4    13.4 1
-1874  5 30    13.0    12.8    12.8 1
-1874  5 31    14.1    13.9    13.9 1
-1874  6  1    16.3    16.1    16.1 1
-1874  6  2    14.9    14.7    14.7 1
-1874  6  3    18.7    18.5    18.5 1
-1874  6  4    14.6    14.4    14.4 1
-1874  6  5    19.1    18.9    18.9 1
-1874  6  6    15.5    15.3    15.3 1
-1874  6  7    12.5    12.3    12.3 1
-1874  6  8    10.0     9.8     9.8 1
-1874  6  9    15.5    15.3    15.3 1
-1874  6 10    14.0    13.8    13.8 1
-1874  6 11    11.8    11.6    11.6 1
-1874  6 12    10.9    10.7    10.7 1
-1874  6 13     8.2     8.0     8.0 1
-1874  6 14    10.4    10.2    10.2 1
-1874  6 15    16.1    15.9    15.9 1
-1874  6 16    21.1    20.9    20.9 1
-1874  6 17    11.1    10.9    10.9 1
-1874  6 18    13.7    13.5    13.5 1
-1874  6 19    12.8    12.6    12.6 1
-1874  6 20     7.2     7.0     7.0 1
-1874  6 21     9.8     9.6     9.6 1
-1874  6 22     7.6     7.4     7.4 1
-1874  6 23    12.4    12.2    12.2 1
-1874  6 24    14.7    14.5    14.5 1
-1874  6 25    15.2    15.0    15.0 1
-1874  6 26    16.6    16.4    16.4 1
-1874  6 27    17.8    17.6    17.6 1
-1874  6 28    18.8    18.6    18.6 1
-1874  6 29    18.1    17.9    17.9 1
-1874  6 30    17.0    16.8    16.8 1
-1874  7  1    14.9    14.7    14.7 1
-1874  7  2    17.5    17.3    17.3 1
-1874  7  3    19.9    19.7    19.7 1
-1874  7  4    19.3    19.1    19.1 1
-1874  7  5    16.5    16.3    16.3 1
-1874  7  6    17.4    17.2    17.2 1
-1874  7  7    16.8    16.6    16.6 1
-1874  7  8    15.3    15.1    15.1 1
-1874  7  9    17.2    17.0    17.0 1
-1874  7 10    18.1    17.9    17.9 1
-1874  7 11    19.1    18.9    18.9 1
-1874  7 12    19.6    19.4    19.4 1
-1874  7 13    17.4    17.2    17.2 1
-1874  7 14    14.0    13.8    13.8 1
-1874  7 15    15.3    15.1    15.1 1
-1874  7 16    11.9    11.7    11.7 1
-1874  7 17    13.9    13.7    13.7 1
-1874  7 18    17.8    17.6    17.6 1
-1874  7 19    17.6    17.4    17.4 1
-1874  7 20    15.3    15.1    15.1 1
-1874  7 21    16.0    15.8    15.8 1
-1874  7 22    16.4    16.2    16.2 1
-1874  7 23    15.7    15.5    15.5 1
-1874  7 24    16.0    15.8    15.8 1
-1874  7 25    17.4    17.2    17.2 1
-1874  7 26    16.7    16.5    16.5 1
-1874  7 27    16.5    16.3    16.3 1
-1874  7 28    19.2    19.0    19.0 1
-1874  7 29    20.0    19.8    19.8 1
-1874  7 30    21.3    21.1    21.1 1
-1874  7 31    17.6    17.4    17.4 1
-1874  8  1    15.4    15.2    15.2 1
-1874  8  2    15.7    15.5    15.5 1
-1874  8  3    17.9    17.7    17.7 1
-1874  8  4    14.0    13.8    13.8 1
-1874  8  5    14.3    14.1    14.1 1
-1874  8  6    14.9    14.7    14.7 1
-1874  8  7    13.2    13.0    13.0 1
-1874  8  8    15.9    15.7    15.7 1
-1874  8  9    17.5    17.3    17.3 1
-1874  8 10    16.5    16.3    16.3 1
-1874  8 11    14.8    14.6    14.6 1
-1874  8 12    14.6    14.4    14.4 1
-1874  8 13    15.0    14.8    14.8 1
-1874  8 14    15.5    15.3    15.3 1
-1874  8 15    15.9    15.7    15.7 1
-1874  8 16    16.0    15.8    15.8 1
-1874  8 17    16.9    16.7    16.7 1
-1874  8 18    15.6    15.5    15.5 1
-1874  8 19    16.1    16.0    16.0 1
-1874  8 20    16.4    16.3    16.3 1
-1874  8 21    13.5    13.4    13.4 1
-1874  8 22    14.5    14.4    14.4 1
-1874  8 23    10.1    10.0    10.0 1
-1874  8 24    10.5    10.4    10.4 1
-1874  8 25     9.6     9.5     9.5 1
-1874  8 26     8.2     8.1     8.1 1
-1874  8 27     9.4     9.3     9.3 1
-1874  8 28    11.1    11.0    11.0 1
-1874  8 29    11.3    11.2    11.2 1
-1874  8 30    13.0    12.9    12.9 1
-1874  8 31    11.3    11.2    11.2 1
-1874  9  1    10.8    10.7    10.7 1
-1874  9  2    14.1    14.0    14.0 1
-1874  9  3    15.5    15.4    15.4 1
-1874  9  4    13.1    13.0    13.0 1
-1874  9  5    12.4    12.3    12.3 1
-1874  9  6    11.0    10.9    10.9 1
-1874  9  7     9.5     9.4     9.4 1
-1874  9  8    10.7    10.6    10.6 1
-1874  9  9    11.4    11.3    11.3 1
-1874  9 10    13.1    13.0    13.0 1
-1874  9 11    11.4    11.3    11.3 1
-1874  9 12    10.7    10.6    10.6 1
-1874  9 13     8.8     8.7     8.7 1
-1874  9 14     8.6     8.5     8.5 1
-1874  9 15    12.8    12.7    12.7 1
-1874  9 16    13.6    13.5    13.5 1
-1874  9 17    10.6    10.5    10.5 1
-1874  9 18    12.2    12.1    12.1 1
-1874  9 19    11.4    11.3    11.3 1
-1874  9 20    12.6    12.5    12.5 1
-1874  9 21    13.1    13.0    13.0 1
-1874  9 22    13.9    13.8    13.8 1
-1874  9 23    12.5    12.4    12.4 1
-1874  9 24    13.2    13.1    13.1 1
-1874  9 25    13.0    12.9    12.9 1
-1874  9 26    11.5    11.4    11.4 1
-1874  9 27     8.2     8.1     8.1 1
-1874  9 28    10.8    10.7    10.7 1
-1874  9 29    12.3    12.2    12.2 1
-1874  9 30    13.9    13.8    13.8 1
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-1874 10  2    14.7    14.6    14.6 1
-1874 10  3    12.6    12.5    12.5 1
-1874 10  4    10.2    10.1    10.1 1
-1874 10  5    10.2    10.1    10.1 1
-1874 10  6     7.0     6.9     6.9 1
-1874 10  7    11.0    10.9    10.9 1
-1874 10  8    10.7    10.6    10.6 1
-1874 10  9     9.4     9.3     9.3 1
-1874 10 10     7.2     7.1     7.1 1
-1874 10 11     7.7     7.6     7.6 1
-1874 10 12    10.5    10.4    10.4 1
-1874 10 13    10.3    10.2    10.2 1
-1874 10 14     7.3     7.2     7.2 1
-1874 10 15     7.6     7.5     7.5 1
-1874 10 16     8.9     8.8     8.8 1
-1874 10 17    10.5    10.4    10.4 1
-1874 10 18    11.7    11.6    11.6 1
-1874 10 19    11.5    11.4    11.4 1
-1874 10 20    10.3    10.2    10.2 1
-1874 10 21     8.7     8.6     8.6 1
-1874 10 22     6.6     6.5     6.5 1
-1874 10 23     4.4     4.3     4.3 1
-1874 10 24     4.6     4.5     4.5 1
-1874 10 25     6.3     6.2     6.2 1
-1874 10 26     8.4     8.3     8.3 1
-1874 10 27     9.8     9.7     9.7 1
-1874 10 28     8.5     8.4     8.4 1
-1874 10 29     6.7     6.6     6.6 1
-1874 10 30     3.5     3.4     3.4 1
-1874 10 31     6.5     6.4     6.4 1
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-1874 11  2     0.5     0.4     0.4 1
-1874 11  3     4.4     4.3     4.3 1
-1874 11  4     6.9     6.8     6.8 1
-1874 11  5     7.4     7.3     7.3 1
-1874 11  6     9.1     9.0     9.0 1
-1874 11  7     7.0     6.9     6.9 1
-1874 11  8     5.2     5.1     5.1 1
-1874 11  9     9.7     9.6     9.6 1
-1874 11 10     6.7     6.6     6.6 1
-1874 11 11     0.9     0.8     0.8 1
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-1874 11 15    -2.3    -2.4    -2.4 1
-1874 11 16     2.1     2.0     2.0 1
-1874 11 17     2.5     2.4     2.4 1
-1874 11 18     1.7     1.6     1.6 1
-1874 11 19     0.2     0.1     0.1 1
-1874 11 20    -3.6    -3.7    -3.7 1
-1874 11 21     0.5     0.4     0.4 1
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-1874 11 24    -2.8    -2.9    -2.9 1
-1874 11 25    -1.5    -1.6    -1.6 1
-1874 11 26    -2.5    -2.6    -2.6 1
-1874 11 27     0.1     0.0     0.0 1
-1874 11 28    -0.1    -0.2    -0.2 1
-1874 11 29    -0.7    -0.8    -0.8 1
-1874 11 30     0.0    -0.1    -0.1 1
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-1874 12  6     2.2     2.1     2.1 1
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-1874 12  8    -3.4    -3.5    -3.5 1
-1874 12  9    -2.8    -2.9    -2.9 1
-1874 12 10    -4.1    -4.2    -4.2 1
-1874 12 11    -9.1    -9.2    -9.2 1
-1874 12 12    -8.3    -8.4    -8.4 1
-1874 12 13    -3.8    -3.9    -3.9 1
-1874 12 14    -5.2    -5.3    -5.3 1
-1874 12 15    -5.7    -5.8    -5.8 1
-1874 12 16    -4.4    -4.5    -4.5 1
-1874 12 17    -7.1    -7.2    -7.2 1
-1874 12 18    -5.7    -5.8    -5.8 1
-1874 12 19    -1.5    -1.6    -1.6 1
-1874 12 20     0.2     0.1     0.1 1
-1874 12 21    -0.3    -0.4    -0.4 1
-1874 12 22    -2.6    -2.7    -2.7 1
-1874 12 23    -4.5    -4.6    -4.6 1
-1874 12 24   -10.6   -10.7   -10.7 1
-1874 12 25   -16.7   -16.8   -16.8 1
-1874 12 26   -10.8   -10.9   -10.9 1
-1874 12 27   -10.3   -10.4   -10.4 1
-1874 12 28    -9.0    -9.1    -9.1 1
-1874 12 29   -11.2   -11.3   -11.3 1
-1874 12 30    -5.2    -5.3    -5.3 1
-1874 12 31    -6.5    -6.6    -6.6 1
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-1875  1  3    -5.2    -5.4    -5.4 1
-1875  1  4    -1.3    -1.5    -1.5 1
-1875  1  5    -4.0    -4.2    -4.2 1
-1875  1  6    -5.4    -5.6    -5.6 1
-1875  1  7   -11.2   -11.4   -11.4 1
-1875  1  8    -4.0    -4.2    -4.2 1
-1875  1  9   -12.0   -12.2   -12.2 1
-1875  1 10    -7.0    -7.2    -7.2 1
-1875  1 11    -2.5    -2.7    -2.7 1
-1875  1 12    -3.2    -3.4    -3.4 1
-1875  1 13    -9.7    -9.9    -9.9 1
-1875  1 14   -11.1   -11.3   -11.3 1
-1875  1 15   -11.2   -11.4   -11.4 1
-1875  1 16    -3.4    -3.6    -3.6 1
-1875  1 17    -6.2    -6.4    -6.4 1
-1875  1 18   -13.5   -13.7   -13.7 1
-1875  1 19   -11.1   -11.3   -11.3 1
-1875  1 20    -4.7    -4.9    -4.9 1
-1875  1 21   -15.6   -15.8   -15.8 1
-1875  1 22   -17.3   -17.5   -17.5 1
-1875  1 23   -24.1   -24.3   -24.3 1
-1875  1 24   -24.3   -24.5   -24.5 1
-1875  1 25    -7.7    -7.9    -7.9 1
-1875  1 26   -13.4   -13.6   -13.6 1
-1875  1 27   -15.0   -15.2   -15.2 1
-1875  1 28    -2.9    -3.1    -3.1 1
-1875  1 29    -1.0    -1.2    -1.2 1
-1875  1 30    -4.8    -5.0    -5.0 1
-1875  1 31    -6.2    -6.4    -6.4 1
-1875  2  1     0.8     0.6     0.6 1
-1875  2  2     2.3     2.1     2.1 1
-1875  2  3    -6.5    -6.7    -6.7 1
-1875  2  4    -6.1    -6.3    -6.3 1
-1875  2  5    -9.2    -9.4    -9.4 1
-1875  2  6    -9.3    -9.5    -9.5 1
-1875  2  7    -9.1    -9.3    -9.3 1
-1875  2  8    -4.5    -4.7    -4.7 1
-1875  2  9    -7.1    -7.3    -7.3 1
-1875  2 10    -8.5    -8.7    -8.7 1
-1875  2 11    -5.1    -5.3    -5.3 1
-1875  2 12    -3.0    -3.2    -3.2 1
-1875  2 13    -3.2    -3.4    -3.4 1
-1875  2 14    -4.7    -4.9    -4.9 1
-1875  2 15    -3.5    -3.7    -3.7 1
-1875  2 16    -3.0    -3.2    -3.2 1
-1875  2 17    -1.6    -1.8    -1.8 1
-1875  2 18    -9.1    -9.3    -9.3 1
-1875  2 19    -9.6    -9.8    -9.8 1
-1875  2 20    -7.5    -7.7    -7.7 1
-1875  2 21    -2.5    -2.7    -2.7 1
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-1875  2 23    -3.5    -3.7    -3.7 1
-1875  2 24    -5.5    -5.7    -5.7 1
-1875  2 25    -8.2    -8.4    -8.4 1
-1875  2 26   -11.8   -12.0   -12.0 1
-1875  2 27    -9.6    -9.8    -9.8 1
-1875  2 28    -8.8    -9.0    -9.0 1
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-1875  3  3    -3.7    -3.9    -3.9 1
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-1875  3  6    -2.9    -3.1    -3.1 1
-1875  3  7    -6.2    -6.4    -6.4 1
-1875  3  8    -1.8    -2.0    -2.0 1
-1875  3  9     0.0    -0.2    -0.2 1
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-1875  3 11     0.1    -0.1    -0.1 1
-1875  3 12     0.3     0.1     0.1 1
-1875  3 13     3.0     2.8     2.8 1
-1875  3 14     0.6     0.4     0.4 1
-1875  3 15     0.6     0.4     0.4 1
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-1875  3 17    -6.6    -6.8    -6.8 1
-1875  3 18    -7.0    -7.2    -7.2 1
-1875  3 19    -1.3    -1.5    -1.5 1
-1875  3 20    -5.5    -5.7    -5.7 1
-1875  3 21    -9.1    -9.3    -9.3 1
-1875  3 22   -12.7   -12.9   -12.9 1
-1875  3 23   -11.7   -11.9   -11.9 1
-1875  3 24    -0.2    -0.4    -0.4 1
-1875  3 25    -5.9    -6.1    -6.1 1
-1875  3 26    -4.5    -4.7    -4.7 1
-1875  3 27     0.6     0.4     0.4 1
-1875  3 28     0.0    -0.2    -0.2 1
-1875  3 29     1.3     1.1     1.1 1
-1875  3 30     1.7     1.5     1.5 1
-1875  3 31     1.0     0.8     0.8 1
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-1875  4  2    -1.6    -1.8    -1.8 1
-1875  4  3     0.7     0.5     0.5 1
-1875  4  4     2.0     1.8     1.8 1
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-1875  4  6     1.9     1.7     1.7 1
-1875  4  7     1.4     1.2     1.2 1
-1875  4  8     0.6     0.4     0.4 1
-1875  4  9     0.5     0.3     0.3 1
-1875  4 10     4.9     4.7     4.7 1
-1875  4 11     3.3     3.1     3.1 1
-1875  4 12     0.4     0.2     0.2 1
-1875  4 13     0.1    -0.1    -0.1 1
-1875  4 14     3.3     3.1     3.1 1
-1875  4 15     1.5     1.3     1.3 1
-1875  4 16     1.5     1.3     1.3 1
-1875  4 17    -0.2    -0.4    -0.4 1
-1875  4 18     4.2     4.0     4.0 1
-1875  4 19     6.0     5.8     5.8 1
-1875  4 20     2.9     2.7     2.7 1
-1875  4 21    -0.9    -1.1    -1.1 1
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-1875  4 23    -1.4    -1.6    -1.6 1
-1875  4 24    -1.2    -1.4    -1.4 1
-1875  4 25     1.6     1.4     1.4 1
-1875  4 26     1.2     1.0     1.0 1
-1875  4 27     7.4     7.2     7.2 1
-1875  4 28     1.6     1.4     1.4 1
-1875  4 29     1.8     1.6     1.6 1
-1875  4 30     3.5     3.3     3.3 1
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-1875  5  2     6.4     6.2     6.2 1
-1875  5  3     8.8     8.6     8.6 1
-1875  5  4    10.2    10.0    10.0 1
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-1875  5  6    11.7    11.5    11.5 1
-1875  5  7    11.3    11.1    11.1 1
-1875  5  8    11.2    11.0    11.0 1
-1875  5  9    10.0     9.7     9.7 1
-1875  5 10     9.1     8.8     8.8 1
-1875  5 11    11.0    10.7    10.7 1
-1875  5 12    10.2     9.9     9.9 1
-1875  5 13     9.4     9.1     9.1 1
-1875  5 14    10.1     9.8     9.8 1
-1875  5 15    15.5    15.2    15.2 1
-1875  5 16     9.6     9.3     9.3 1
-1875  5 17     8.6     8.3     8.3 1
-1875  5 18     8.6     8.3     8.3 1
-1875  5 19     9.6     9.3     9.3 1
-1875  5 20     9.9     9.6     9.6 1
-1875  5 21    11.8    11.5    11.5 1
-1875  5 22    15.1    14.8    14.8 1
-1875  5 23    13.9    13.7    13.7 1
-1875  5 24    11.0    10.8    10.8 1
-1875  5 25     9.7     9.5     9.5 1
-1875  5 26     6.5     6.3     6.3 1
-1875  5 27     6.4     6.2     6.2 1
-1875  5 28     7.2     7.0     7.0 1
-1875  5 29     8.1     7.9     7.9 1
-1875  5 30    11.4    11.2    11.2 1
-1875  5 31    13.3    13.1    13.1 1
-1875  6  1    15.9    15.7    15.7 1
-1875  6  2    12.2    12.0    12.0 1
-1875  6  3    15.4    15.2    15.2 1
-1875  6  4    16.3    16.1    16.1 1
-1875  6  5    19.8    19.6    19.6 1
-1875  6  6    16.2    16.0    16.0 1
-1875  6  7    13.4    13.2    13.2 1
-1875  6  8    12.0    11.8    11.8 1
-1875  6  9     8.4     8.2     8.2 1
-1875  6 10    11.8    11.6    11.6 1
-1875  6 11     7.7     7.5     7.5 1
-1875  6 12     9.7     9.5     9.5 1
-1875  6 13    12.5    12.3    12.3 1
-1875  6 14    11.5    11.3    11.3 1
-1875  6 15    13.7    13.5    13.5 1
-1875  6 16    15.9    15.7    15.7 1
-1875  6 17    16.3    16.1    16.1 1
-1875  6 18    17.7    17.5    17.5 1
-1875  6 19    16.8    16.6    16.6 1
-1875  6 20    16.2    16.0    16.0 1
-1875  6 21    15.5    15.3    15.3 1
-1875  6 22    18.0    17.8    17.8 1
-1875  6 23    16.9    16.7    16.7 1
-1875  6 24    15.3    15.1    15.1 1
-1875  6 25    17.8    17.6    17.6 1
-1875  6 26    17.6    17.4    17.4 1
-1875  6 27    17.1    16.9    16.9 1
-1875  6 28    16.4    16.2    16.2 1
-1875  6 29    17.6    17.4    17.4 1
-1875  6 30    17.3    17.1    17.1 1
-1875  7  1    17.1    16.9    16.9 1
-1875  7  2    18.1    17.9    17.9 1
-1875  7  3    12.2    12.0    12.0 1
-1875  7  4    16.4    16.2    16.2 1
-1875  7  5    18.0    17.8    17.8 1
-1875  7  6    21.4    21.2    21.2 1
-1875  7  7    16.0    15.8    15.8 1
-1875  7  8    18.6    18.4    18.4 1
-1875  7  9    19.2    19.0    19.0 1
-1875  7 10    15.2    15.0    15.0 1
-1875  7 11    16.2    16.0    16.0 1
-1875  7 12    15.6    15.4    15.4 1
-1875  7 13    15.9    15.7    15.7 1
-1875  7 14    13.4    13.2    13.2 1
-1875  7 15    13.8    13.6    13.6 1
-1875  7 16    13.3    13.1    13.1 1
-1875  7 17    15.5    15.3    15.3 1
-1875  7 18    17.0    16.8    16.8 1
-1875  7 19    18.7    18.5    18.5 1
-1875  7 20    19.3    19.1    19.1 1
-1875  7 21    19.0    18.8    18.8 1
-1875  7 22    19.6    19.4    19.4 1
-1875  7 23    20.2    20.0    20.0 1
-1875  7 24    19.2    19.0    19.0 1
-1875  7 25    21.2    21.0    21.0 1
-1875  7 26    19.6    19.4    19.4 1
-1875  7 27    15.8    15.6    15.6 1
-1875  7 28    16.1    15.9    15.9 1
-1875  7 29    12.7    12.5    12.5 1
-1875  7 30    15.4    15.2    15.2 1
-1875  7 31    17.4    17.2    17.2 1
-1875  8  1    17.9    17.7    17.7 1
-1875  8  2    17.8    17.6    17.6 1
-1875  8  3    16.7    16.5    16.5 1
-1875  8  4    16.0    15.8    15.8 1
-1875  8  5    16.8    16.6    16.6 1
-1875  8  6    17.5    17.3    17.3 1
-1875  8  7    18.1    17.9    17.9 1
-1875  8  8    17.5    17.3    17.3 1
-1875  8  9    17.9    17.7    17.7 1
-1875  8 10    18.4    18.2    18.2 1
-1875  8 11    17.3    17.1    17.1 1
-1875  8 12    17.9    17.7    17.7 1
-1875  8 13    16.9    16.7    16.7 1
-1875  8 14    14.2    14.0    14.0 1
-1875  8 15    14.8    14.6    14.6 1
-1875  8 16    14.6    14.4    14.4 1
-1875  8 17    18.7    18.5    18.5 1
-1875  8 18    17.7    17.5    17.5 1
-1875  8 19    16.6    16.4    16.4 1
-1875  8 20    14.5    14.3    14.3 1
-1875  8 21    14.1    13.9    13.9 1
-1875  8 22    13.1    12.9    12.9 1
-1875  8 23    13.1    12.9    12.9 1
-1875  8 24    14.4    14.2    14.2 1
-1875  8 25    17.8    17.6    17.6 1
-1875  8 26    17.7    17.5    17.5 1
-1875  8 27    16.4    16.2    16.2 1
-1875  8 28    14.7    14.6    14.6 1
-1875  8 29    12.6    12.5    12.5 1
-1875  8 30    11.5    11.4    11.4 1
-1875  8 31    13.6    13.5    13.5 1
-1875  9  1    12.2    12.1    12.1 1
-1875  9  2    12.2    12.1    12.1 1
-1875  9  3    13.7    13.6    13.6 1
-1875  9  4    14.4    14.3    14.3 1
-1875  9  5    13.2    13.1    13.1 1
-1875  9  6    14.2    14.1    14.1 1
-1875  9  7    15.5    15.4    15.4 1
-1875  9  8    14.9    14.8    14.8 1
-1875  9  9    13.8    13.7    13.7 1
-1875  9 10    13.4    13.3    13.3 1
-1875  9 11    13.3    13.2    13.2 1
-1875  9 12    16.0    15.9    15.9 1
-1875  9 13    13.0    12.9    12.9 1
-1875  9 14    13.5    13.4    13.4 1
-1875  9 15    11.2    11.1    11.1 1
-1875  9 16    12.8    12.7    12.7 1
-1875  9 17    13.7    13.6    13.6 1
-1875  9 18    14.5    14.4    14.4 1
-1875  9 19    12.3    12.2    12.2 1
-1875  9 20    11.8    11.7    11.7 1
-1875  9 21     6.2     6.1     6.1 1
-1875  9 22     4.3     4.2     4.2 1
-1875  9 23     3.2     3.1     3.1 1
-1875  9 24     3.2     3.1     3.1 1
-1875  9 25     6.2     6.1     6.1 1
-1875  9 26     8.4     8.3     8.3 1
-1875  9 27    12.3    12.2    12.2 1
-1875  9 28    11.9    11.8    11.8 1
-1875  9 29    10.6    10.5    10.5 1
-1875  9 30     6.3     6.2     6.2 1
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-1875 10  2    10.2    10.1    10.1 1
-1875 10  3    11.0    10.9    10.9 1
-1875 10  4     9.7     9.6     9.6 1
-1875 10  5    11.7    11.6    11.6 1
-1875 10  6    11.2    11.1    11.1 1
-1875 10  7     8.2     8.1     8.1 1
-1875 10  8     6.1     6.0     6.0 1
-1875 10  9     5.9     5.8     5.8 1
-1875 10 10     6.8     6.7     6.7 1
-1875 10 11     7.8     7.7     7.7 1
-1875 10 12     8.4     8.3     8.3 1
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-1875 10 14     4.9     4.8     4.8 1
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-1875 10 22     2.0     1.9     1.9 1
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-1875 10 25     0.1     0.0     0.0 1
-1875 10 26     0.6     0.5     0.5 1
-1875 10 27     0.5     0.4     0.4 1
-1875 10 28     0.3     0.2     0.2 1
-1875 10 29     0.8     0.7     0.7 1
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-1875 11  7     5.7     5.6     5.6 1
-1875 11  8     5.3     5.2     5.2 1
-1875 11  9     4.3     4.2     4.2 1
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-1875 11 18    -2.1    -2.2    -2.2 1
-1875 11 19    -1.9    -2.0    -2.0 1
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-1875 11 27    -6.5    -6.6    -6.6 1
-1875 11 28    -4.5    -4.6    -4.6 1
-1875 11 29    -6.8    -6.9    -6.9 1
-1875 11 30    -7.1    -7.2    -7.2 1
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-1875 12  6   -10.4   -10.5   -10.5 1
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-1875 12 11    -8.6    -8.7    -8.7 1
-1875 12 12    -8.6    -8.7    -8.7 1
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-1875 12 14   -10.8   -10.9   -10.9 1
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-1875 12 21     2.0     1.9     1.9 1
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-1875 12 24     2.8     2.7     2.7 1
-1875 12 25     2.6     2.5     2.5 1
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-1875 12 29    -7.7    -7.8    -7.8 1
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-1876  1 15    -6.4    -6.6    -6.6 1
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-1876  1 19    -2.8    -3.0    -3.0 1
-1876  1 20     2.5     2.3     2.3 1
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-1876  1 23    -2.7    -2.9    -2.9 1
-1876  1 24     3.1     2.9     2.9 1
-1876  1 25     3.5     3.3     3.3 1
-1876  1 26     2.3     2.1     2.1 1
-1876  1 27     0.9     0.7     0.7 1
-1876  1 28     1.8     1.6     1.6 1
-1876  1 29     0.7     0.5     0.5 1
-1876  1 30     0.3     0.1     0.1 1
-1876  1 31     1.2     1.0     1.0 1
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-1876  2  4     1.3     1.1     1.1 1
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-1876  2  9    -2.7    -2.9    -2.9 1
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-1876  2 28   -10.1   -10.3   -10.3 1
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-1876  3 27    -4.2    -4.4    -4.4 1
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-1876  3 29     0.0    -0.2    -0.2 1
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-1876  4  7     5.7     5.5     5.5 1
-1876  4  8     7.8     7.6     7.6 1
-1876  4  9     9.1     8.9     8.9 1
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-1876  4 21     9.8     9.6     9.6 1
-1876  4 22     8.4     8.2     8.2 1
-1876  4 23     7.0     6.8     6.8 1
-1876  4 24     7.9     7.7     7.7 1
-1876  4 25     5.5     5.3     5.3 1
-1876  4 26     5.1     4.9     4.9 1
-1876  4 27     3.8     3.6     3.6 1
-1876  4 28     1.3     1.1     1.1 1
-1876  4 29     0.9     0.7     0.7 1
-1876  4 30     1.8     1.6     1.6 1
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-1876  5  6     3.4     3.1     3.1 1
-1876  5  7     1.4     1.1     1.1 1
-1876  5  8     1.7     1.4     1.4 1
-1876  5  9     5.2     4.9     4.9 1
-1876  5 10     3.2     2.9     2.9 1
-1876  5 11     3.4     3.1     3.1 1
-1876  5 12     4.5     4.2     4.2 1
-1876  5 13     6.1     5.8     5.8 1
-1876  5 14     4.7     4.4     4.4 1
-1876  5 15     5.2     4.9     4.9 1
-1876  5 16    10.3    10.0    10.0 1
-1876  5 17     4.8     4.5     4.5 1
-1876  5 18     0.5     0.2     0.2 1
-1876  5 19     2.8     2.5     2.5 1
-1876  5 20     7.7     7.4     7.4 1
-1876  5 21     7.5     7.2     7.2 1
-1876  5 22     8.7     8.4     8.4 1
-1876  5 23     9.4     9.1     9.1 1
-1876  5 24     7.5     7.2     7.2 1
-1876  5 25     8.3     8.0     8.0 1
-1876  5 26     4.1     3.8     3.8 1
-1876  5 27     5.7     5.4     5.4 1
-1876  5 28    12.4    12.1    12.1 1
-1876  5 29     9.3     9.0     9.0 1
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-1876  5 31    13.8    13.5    13.5 1
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-1876  6  4    14.6    14.4    14.4 1
-1876  6  5    12.8    12.6    12.6 1
-1876  6  6    14.5    14.3    14.3 1
-1876  6  7    13.2    13.0    13.0 1
-1876  6  8    14.5    14.3    14.3 1
-1876  6  9    12.8    12.6    12.6 1
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-1876  6 13    19.2    19.0    19.0 1
-1876  6 14    21.0    20.8    20.8 1
-1876  6 15    19.8    19.6    19.6 1
-1876  6 16    19.2    19.0    19.0 1
-1876  6 17    18.4    18.2    18.2 1
-1876  6 18    16.6    16.4    16.4 1
-1876  6 19    17.3    17.1    17.1 1
-1876  6 20    17.4    17.2    17.2 1
-1876  6 21    16.4    16.2    16.2 1
-1876  6 22    16.1    15.9    15.9 1
-1876  6 23    17.6    17.4    17.4 1
-1876  6 24    20.2    20.0    20.0 1
-1876  6 25    19.1    18.9    18.9 1
-1876  6 26    19.6    19.4    19.4 1
-1876  6 27    17.1    16.9    16.9 1
-1876  6 28    21.8    21.6    21.6 1
-1876  6 29    19.4    19.2    19.2 1
-1876  6 30    19.1    18.9    18.9 1
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-1876  7  5    20.5    20.3    20.3 1
-1876  7  6    19.3    19.1    19.1 1
-1876  7  7    20.2    20.0    20.0 1
-1876  7  8    20.4    20.2    20.2 1
-1876  7  9    20.7    20.5    20.5 1
-1876  7 10    20.5    20.3    20.3 1
-1876  7 11    17.4    17.2    17.2 1
-1876  7 12    15.6    15.4    15.4 1
-1876  7 13    13.6    13.4    13.4 1
-1876  7 14    16.5    16.3    16.3 1
-1876  7 15    17.3    17.1    17.1 1
-1876  7 16    16.8    16.6    16.6 1
-1876  7 17    18.7    18.5    18.5 1
-1876  7 18    14.7    14.5    14.5 1
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-1876  7 20    15.5    15.3    15.3 1
-1876  7 21    17.2    17.0    17.0 1
-1876  7 22    17.2    17.0    17.0 1
-1876  7 23    18.8    18.6    18.6 1
-1876  7 24    19.9    19.7    19.7 1
-1876  7 25    21.6    21.4    21.4 1
-1876  7 26    18.6    18.4    18.4 1
-1876  7 27    15.0    14.8    14.8 1
-1876  7 28    12.8    12.6    12.6 1
-1876  7 29    14.5    14.3    14.3 1
-1876  7 30    16.1    15.9    15.9 1
-1876  7 31    18.4    18.2    18.2 1
-1876  8  1    19.2    19.0    19.0 1
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-1876  8  3    16.0    15.8    15.8 1
-1876  8  4    15.9    15.7    15.7 1
-1876  8  5    16.0    15.8    15.8 1
-1876  8  6    16.0    15.8    15.8 1
-1876  8  7    16.1    15.9    15.9 1
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-1876  8  9    17.7    17.5    17.5 1
-1876  8 10    16.9    16.7    16.7 1
-1876  8 11    16.7    16.5    16.5 1
-1876  8 12    19.5    19.3    19.3 1
-1876  8 13    21.3    21.1    21.1 1
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-1876  8 15    13.6    13.4    13.4 1
-1876  8 16    14.7    14.5    14.5 1
-1876  8 17    14.8    14.6    14.6 1
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-1876  8 20    18.8    18.6    18.6 1
-1876  8 21    17.2    17.0    17.0 1
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-1876  8 23    18.0    17.8    17.8 1
-1876  8 24    15.8    15.6    15.6 1
-1876  8 25    13.5    13.3    13.3 1
-1876  8 26    11.4    11.2    11.2 1
-1876  8 27    13.5    13.3    13.3 1
-1876  8 28    13.4    13.2    13.2 1
-1876  8 29    15.1    14.9    14.9 1
-1876  8 30    13.2    13.0    13.0 1
-1876  8 31    13.6    13.4    13.4 1
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-1876  9  4    11.2    11.1    11.1 1
-1876  9  5    13.2    13.1    13.1 1
-1876  9  6    15.9    15.8    15.8 1
-1876  9  7    16.2    16.1    16.1 1
-1876  9  8    14.7    14.6    14.6 1
-1876  9  9    13.5    13.4    13.4 1
-1876  9 10    12.7    12.6    12.6 1
-1876  9 11    12.8    12.7    12.7 1
-1876  9 12    13.4    13.3    13.3 1
-1876  9 13    13.0    12.9    12.9 1
-1876  9 14    12.5    12.4    12.4 1
-1876  9 15    11.6    11.5    11.5 1
-1876  9 16    12.6    12.5    12.5 1
-1876  9 17    12.1    12.0    12.0 1
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-1876  9 19    11.3    11.2    11.2 1
-1876  9 20    10.6    10.5    10.5 1
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-1876  9 26     7.0     6.9     6.9 1
-1876  9 27     6.8     6.7     6.7 1
-1876  9 28     6.5     6.4     6.4 1
-1876  9 29     6.5     6.4     6.4 1
-1876  9 30     5.6     5.5     5.5 1
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-1876 10  7     7.3     7.2     7.2 1
-1876 10  8    10.7    10.6    10.6 1
-1876 10  9     9.7     9.6     9.6 1
-1876 10 10     7.4     7.3     7.3 1
-1876 10 11     9.8     9.7     9.7 1
-1876 10 12    12.5    12.4    12.4 1
-1876 10 13     9.7     9.6     9.6 1
-1876 10 14    11.3    11.2    11.2 1
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-1876 10 16     8.0     7.9     7.9 1
-1876 10 17     8.3     8.2     8.2 1
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-1876 10 26     4.1     4.0     4.0 1
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-1876 10 29     6.8     6.7     6.7 1
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-1876 10 31     1.3     1.2     1.2 1
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-1877  5 17     4.9     4.6     4.6 1
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-1877  7 11    17.0    16.8    16.8 1
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-1877  7 14    16.7    16.5    16.5 1
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-1877  7 17    20.5    20.3    20.3 1
-1877  7 18    15.8    15.6    15.6 1
-1877  7 19    15.3    15.1    15.1 1
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-1877  7 23    17.7    17.5    17.5 1
-1877  7 24    17.8    17.6    17.6 1
-1877  7 25    20.5    20.3    20.3 1
-1877  7 26    19.8    19.6    19.6 1
-1877  7 27    17.1    16.9    16.9 1
-1877  7 28    17.1    16.9    16.9 1
-1877  7 29    15.7    15.5    15.5 1
-1877  7 30    13.6    13.4    13.4 1
-1877  7 31    14.9    14.7    14.7 1
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-1877  8  4    14.4    14.2    14.2 1
-1877  8  5    14.6    14.4    14.4 1
-1877  8  6    14.6    14.4    14.4 1
-1877  8  7    14.1    13.9    13.9 1
-1877  8  8    16.1    15.9    15.9 1
-1877  8  9    17.0    16.8    16.8 1
-1877  8 10    17.5    17.3    17.3 1
-1877  8 11    17.8    17.6    17.6 1
-1877  8 12    17.7    17.5    17.5 1
-1877  8 13    18.5    18.3    18.3 1
-1877  8 14    18.4    18.2    18.2 1
-1877  8 15    18.7    18.5    18.5 1
-1877  8 16    17.4    17.2    17.2 1
-1877  8 17    17.0    16.8    16.8 1
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-1877  8 19    10.6    10.4    10.4 1
-1877  8 20    11.2    11.0    11.0 1
-1877  8 21    12.7    12.5    12.5 1
-1877  8 22    15.3    15.1    15.1 1
-1877  8 23    14.7    14.5    14.5 1
-1877  8 24    12.3    12.1    12.1 1
-1877  8 25    11.1    10.9    10.9 1
-1877  8 26    12.5    12.3    12.3 1
-1877  8 27    10.2    10.0    10.0 1
-1877  8 28    10.6    10.4    10.4 1
-1877  8 29    11.2    11.0    11.0 1
-1877  8 30    11.0    10.8    10.8 1
-1877  8 31    12.3    12.1    12.1 1
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-1877  9  6    10.3    10.1    10.1 1
-1877  9  7     9.7     9.5     9.5 1
-1877  9  8     9.0     8.8     8.8 1
-1877  9  9    11.1    10.9    10.9 1
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-1877  9 11    10.5    10.4    10.4 1
-1877  9 12    11.9    11.8    11.8 1
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-1877  9 14    11.7    11.6    11.6 1
-1877  9 15    10.9    10.8    10.8 1
-1877  9 16     9.0     8.9     8.9 1
-1877  9 17     6.9     6.8     6.8 1
-1877  9 18     6.2     6.1     6.1 1
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-1877  9 21     4.0     3.9     3.9 1
-1877  9 22     3.5     3.4     3.4 1
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-1877  9 24     2.5     2.4     2.4 1
-1877  9 25     2.5     2.4     2.4 1
-1877  9 26     5.4     5.3     5.3 1
-1877  9 27     8.9     8.8     8.8 1
-1877  9 28    11.4    11.3    11.3 1
-1877  9 29     9.3     9.2     9.2 1
-1877  9 30     5.4     5.3     5.3 1
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-1877 10  7     8.0     7.9     7.9 1
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-1877 10 11     8.2     8.1     8.1 1
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-1877 10 25     6.3     6.2     6.2 1
-1877 10 26     5.7     5.6     5.6 1
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-1877 10 28     2.2     2.1     2.1 1
-1877 10 29     1.8     1.7     1.7 1
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-1877 10 31     7.4     7.3     7.3 1
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-1877 11 11     7.0     6.9     6.9 1
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-1877 11 16     7.7     7.6     7.6 1
-1877 11 17     5.7     5.6     5.6 1
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-1877 11 20     4.8     4.7     4.7 1
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-1877 11 22     3.5     3.4     3.4 1
-1877 11 23     5.6     5.5     5.5 1
-1877 11 24     4.3     4.2     4.2 1
-1877 11 25     2.5     2.4     2.4 1
-1877 11 26     2.3     2.2     2.2 1
-1877 11 27     0.4     0.3     0.3 1
-1877 11 28     2.8     2.7     2.7 1
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-1878  1 31    -0.9    -1.1    -1.1 1
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-1878  4 29     8.1     7.8     7.8 1
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-1878  5 25     9.7     9.4     9.4 1
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-1878  5 30    13.4    13.1    13.1 1
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-1878  8  9    17.7    17.4    17.4 1
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-1878  8 17    16.0    15.7    15.7 1
-1878  8 18    13.4    13.2    13.2 1
-1878  8 19    11.3    11.1    11.1 1
-1878  8 20     9.5     9.3     9.3 1
-1878  8 21    11.7    11.5    11.5 1
-1878  8 22    12.0    11.8    11.8 1
-1878  8 23    13.3    13.1    13.1 1
-1878  8 24    16.1    15.9    15.9 1
-1878  8 25    14.7    14.5    14.5 1
-1878  8 26    16.3    16.1    16.1 1
-1878  8 27    15.6    15.4    15.4 1
-1878  8 28    15.0    14.8    14.8 1
-1878  8 29    15.4    15.2    15.2 1
-1878  8 30    15.4    15.2    15.2 1
-1878  8 31    15.2    15.0    15.0 1
-1878  9  1    14.8    14.6    14.6 1
-1878  9  2    15.5    15.3    15.3 1
-1878  9  3    15.0    14.8    14.8 1
-1878  9  4    16.2    16.0    16.0 1
-1878  9  5    16.4    16.2    16.2 1
-1878  9  6    17.3    17.1    17.1 1
-1878  9  7    16.8    16.6    16.6 1
-1878  9  8    14.2    14.0    14.0 1
-1878  9  9    16.1    15.9    15.9 1
-1878  9 10    14.9    14.7    14.7 1
-1878  9 11    13.4    13.2    13.2 1
-1878  9 12    13.8    13.6    13.6 1
-1878  9 13    12.0    11.8    11.8 1
-1878  9 14    15.3    15.2    15.2 1
-1878  9 15    13.7    13.6    13.6 1
-1878  9 16    14.2    14.1    14.1 1
-1878  9 17    11.8    11.7    11.7 1
-1878  9 18    13.9    13.8    13.8 1
-1878  9 19    10.7    10.6    10.6 1
-1878  9 20    10.1    10.0    10.0 1
-1878  9 21     8.9     8.8     8.8 1
-1878  9 22     9.0     8.9     8.9 1
-1878  9 23     9.8     9.7     9.7 1
-1878  9 24    11.5    11.4    11.4 1
-1878  9 25    11.8    11.7    11.7 1
-1878  9 26    13.9    13.8    13.8 1
-1878  9 27     9.9     9.8     9.8 1
-1878  9 28    10.5    10.4    10.4 1
-1878  9 29     7.2     7.1     7.1 1
-1878  9 30     5.1     5.0     5.0 1
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-1878 10  2     7.3     7.2     7.2 1
-1878 10  3     5.8     5.7     5.7 1
-1878 10  4     8.5     8.4     8.4 1
-1878 10  5     5.7     5.6     5.6 1
-1878 10  6     5.8     5.7     5.7 1
-1878 10  7     9.8     9.7     9.7 1
-1878 10  8    11.1    11.0    11.0 1
-1878 10  9    12.0    11.9    11.9 1
-1878 10 10    10.4    10.3    10.3 1
-1878 10 11    11.5    11.4    11.4 1
-1878 10 12    11.9    11.8    11.8 1
-1878 10 13    10.0     9.9     9.9 1
-1878 10 14     6.9     6.8     6.8 1
-1878 10 15     8.3     8.2     8.2 1
-1878 10 16     8.4     8.3     8.3 1
-1878 10 17     9.7     9.6     9.6 1
-1878 10 18    10.7    10.6    10.6 1
-1878 10 19    10.9    10.8    10.8 1
-1878 10 20     8.3     8.2     8.2 1
-1878 10 21     8.8     8.7     8.7 1
-1878 10 22    10.3    10.2    10.2 1
-1878 10 23    11.5    11.4    11.4 1
-1878 10 24     6.3     6.2     6.2 1
-1878 10 25     9.0     8.9     8.9 1
-1878 10 26     7.6     7.5     7.5 1
-1878 10 27     7.2     7.1     7.1 1
-1878 10 28     7.5     7.4     7.4 1
-1878 10 29     6.7     6.6     6.6 1
-1878 10 30     5.8     5.7     5.7 1
-1878 10 31     5.5     5.4     5.4 1
-1878 11  1     2.0     1.9     1.9 1
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-1878 11  5     1.2     1.1     1.1 1
-1878 11  6     0.3     0.2     0.2 1
-1878 11  7     0.2     0.1     0.1 1
-1878 11  8    -1.2    -1.3    -1.3 1
-1878 11  9     0.3     0.2     0.2 1
-1878 11 10     0.3     0.2     0.2 1
-1878 11 11     4.2     4.1     4.1 1
-1878 11 12     4.5     4.4     4.4 1
-1878 11 13     3.6     3.4     3.4 1
-1878 11 14     5.5     5.3     5.3 1
-1878 11 15     6.0     5.8     5.8 1
-1878 11 16     2.8     2.6     2.6 1
-1878 11 17     5.4     5.2     5.2 1
-1878 11 18     3.4     3.2     3.2 1
-1878 11 19     0.2     0.0     0.0 1
-1878 11 20     4.7     4.5     4.5 1
-1878 11 21     2.9     2.7     2.7 1
-1878 11 22     2.4     2.2     2.2 1
-1878 11 23     0.9     0.7     0.7 1
-1878 11 24    -1.4    -1.6    -1.6 1
-1878 11 25    -0.8    -1.0    -1.0 1
-1878 11 26     5.9     5.7     5.7 1
-1878 11 27     1.3     1.1     1.1 1
-1878 11 28    -1.2    -1.4    -1.4 1
-1878 11 29    -1.4    -1.6    -1.6 1
-1878 11 30    -0.7    -0.9    -0.9 1
-1878 12  1     2.3     2.1     2.1 1
-1878 12  2     1.4     1.2     1.2 1
-1878 12  3     1.9     1.7     1.7 1
-1878 12  4     0.4     0.2     0.2 1
-1878 12  5     0.5     0.3     0.3 1
-1878 12  6    -0.4    -0.6    -0.6 1
-1878 12  7    -1.9    -2.1    -2.1 1
-1878 12  8    -2.7    -2.9    -2.9 1
-1878 12  9    -4.5    -4.7    -4.7 1
-1878 12 10    -1.8    -2.0    -2.0 1
-1878 12 11    -0.4    -0.6    -0.6 1
-1878 12 12    -1.9    -2.1    -2.1 1
-1878 12 13    -2.7    -2.9    -2.9 1
-1878 12 14    -4.0    -4.2    -4.2 1
-1878 12 15    -2.0    -2.2    -2.2 1
-1878 12 16    -5.7    -5.9    -5.9 1
-1878 12 17    -1.5    -1.7    -1.7 1
-1878 12 18    -4.2    -4.4    -4.4 1
-1878 12 19    -9.7    -9.9    -9.9 1
-1878 12 20    -8.7    -8.9    -8.9 1
-1878 12 21   -12.2   -12.4   -12.4 1
-1878 12 22    -5.6    -5.8    -5.8 1
-1878 12 23    -3.4    -3.6    -3.6 1
-1878 12 24    -7.5    -7.7    -7.7 1
-1878 12 25    -4.4    -4.6    -4.6 1
-1878 12 26   -10.5   -10.7   -10.7 1
-1878 12 27    -0.6    -0.8    -0.8 1
-1878 12 28     0.2     0.0     0.0 1
-1878 12 29    -1.0    -1.2    -1.2 1
-1878 12 30     1.8     1.6     1.6 1
-1878 12 31     3.3     3.1     3.1 1
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-1879  1  2    -3.0    -3.2    -3.2 1
-1879  1  3    -3.4    -3.6    -3.6 1
-1879  1  4    -4.9    -5.1    -5.1 1
-1879  1  5    -7.0    -7.3    -7.3 1
-1879  1  6    -8.0    -8.3    -8.3 1
-1879  1  7    -9.6    -9.9    -9.9 1
-1879  1  8    -5.3    -5.6    -5.6 1
-1879  1  9    -3.3    -3.6    -3.6 1
-1879  1 10    -4.6    -4.9    -4.9 1
-1879  1 11    -3.4    -3.7    -3.7 1
-1879  1 12    -2.6    -2.9    -2.9 1
-1879  1 13    -3.4    -3.7    -3.7 1
-1879  1 14    -2.9    -3.2    -3.2 1
-1879  1 15    -3.1    -3.4    -3.4 1
-1879  1 16    -2.3    -2.6    -2.6 1
-1879  1 17    -3.1    -3.4    -3.4 1
-1879  1 18    -3.3    -3.6    -3.6 1
-1879  1 19    -6.8    -7.1    -7.1 1
-1879  1 20    -6.7    -7.0    -7.0 1
-1879  1 21    -7.4    -7.7    -7.7 1
-1879  1 22    -5.5    -5.8    -5.8 1
-1879  1 23    -4.9    -5.2    -5.2 1
-1879  1 24    -6.3    -6.6    -6.6 1
-1879  1 25   -11.8   -12.1   -12.1 1
-1879  1 26    -8.2    -8.5    -8.5 1
-1879  1 27    -2.7    -3.0    -3.0 1
-1879  1 28   -10.4   -10.7   -10.7 1
-1879  1 29    -6.9    -7.2    -7.2 1
-1879  1 30    -4.8    -5.1    -5.1 1
-1879  1 31    -5.7    -6.0    -6.0 1
-1879  2  1    -5.3    -5.6    -5.6 1
-1879  2  2    -6.0    -6.3    -6.3 1
-1879  2  3    -5.9    -6.2    -6.2 1
-1879  2  4   -11.0   -11.3   -11.3 1
-1879  2  5    -2.8    -3.1    -3.1 1
-1879  2  6    -2.9    -3.2    -3.2 1
-1879  2  7     0.6     0.3     0.3 1
-1879  2  8     1.3     1.0     1.0 1
-1879  2  9    -7.4    -7.7    -7.7 1
-1879  2 10    -7.9    -8.2    -8.2 1
-1879  2 11    -3.5    -3.8    -3.8 1
-1879  2 12    -5.9    -6.2    -6.2 1
-1879  2 13    -7.8    -8.1    -8.1 1
-1879  2 14    -8.7    -9.0    -9.0 1
-1879  2 15    -6.9    -7.2    -7.2 1
-1879  2 16   -14.6   -14.9   -14.9 1
-1879  2 17   -14.2   -14.5   -14.5 1
-1879  2 18   -13.7   -14.0   -14.0 1
-1879  2 19   -13.2   -13.5   -13.5 1
-1879  2 20   -15.0   -15.3   -15.3 1
-1879  2 21    -9.6    -9.9    -9.9 1
-1879  2 22    -2.8    -3.1    -3.1 1
-1879  2 23    -0.9    -1.2    -1.2 1
-1879  2 24    -1.8    -2.1    -2.1 1
-1879  2 25    -4.1    -4.4    -4.4 1
-1879  2 26    -5.2    -5.5    -5.5 1
-1879  2 27    -6.1    -6.4    -6.4 1
-1879  2 28    -5.2    -5.5    -5.5 1
-1879  3  1    -2.4    -2.7    -2.7 1
-1879  3  2    -2.4    -2.7    -2.7 1
-1879  3  3    -1.3    -1.6    -1.6 1
-1879  3  4     0.0    -0.3    -0.3 1
-1879  3  5     1.5     1.2     1.2 1
-1879  3  6     0.6     0.3     0.3 1
-1879  3  7    -2.8    -3.1    -3.1 1
-1879  3  8     2.2     1.9     1.9 1
-1879  3  9     3.5     3.2     3.2 1
-1879  3 10     2.6     2.3     2.3 1
-1879  3 11    -1.4    -1.7    -1.7 1
-1879  3 12    -2.6    -2.9    -2.9 1
-1879  3 13    -5.2    -5.5    -5.5 1
-1879  3 14    -6.7    -7.0    -7.0 1
-1879  3 15    -7.9    -8.2    -8.2 1
-1879  3 16    -8.9    -9.2    -9.2 1
-1879  3 17    -3.9    -4.2    -4.2 1
-1879  3 18    -0.8    -1.1    -1.1 1
-1879  3 19    -3.2    -3.5    -3.5 1
-1879  3 20    -4.1    -4.4    -4.4 1
-1879  3 21    -4.6    -4.9    -4.9 1
-1879  3 22    -6.9    -7.2    -7.2 1
-1879  3 23    -6.5    -6.8    -6.8 1
-1879  3 24    -3.8    -4.1    -4.1 1
-1879  3 25    -4.3    -4.6    -4.6 1
-1879  3 26    -4.4    -4.7    -4.7 1
-1879  3 27    -3.4    -3.7    -3.7 1
-1879  3 28    -3.6    -3.9    -3.9 1
-1879  3 29    -3.3    -3.6    -3.6 1
-1879  3 30    -2.8    -3.1    -3.1 1
-1879  3 31     0.9     0.6     0.6 1
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-1879  4  2     2.1     1.8     1.8 1
-1879  4  3     2.4     2.1     2.1 1
-1879  4  4     4.4     4.1     4.1 1
-1879  4  5     3.1     2.8     2.8 1
-1879  4  6     2.4     2.1     2.1 1
-1879  4  7     3.3     3.0     3.0 1
-1879  4  8     1.5     1.2     1.2 1
-1879  4  9    -2.1    -2.4    -2.4 1
-1879  4 10    -5.1    -5.4    -5.4 1
-1879  4 11    -2.2    -2.5    -2.5 1
-1879  4 12    -1.5    -1.8    -1.8 1
-1879  4 13    -0.9    -1.2    -1.2 1
-1879  4 14    -0.7    -1.0    -1.0 1
-1879  4 15    -0.8    -1.1    -1.1 1
-1879  4 16     0.9     0.6     0.6 1
-1879  4 17     0.9     0.6     0.6 1
-1879  4 18     1.0     0.7     0.7 1
-1879  4 19     0.7     0.4     0.4 1
-1879  4 20     2.0     1.7     1.7 1
-1879  4 21     2.7     2.4     2.4 1
-1879  4 22     2.9     2.6     2.6 1
-1879  4 23    -0.4    -0.7    -0.7 1
-1879  4 24     2.2     1.9     1.9 1
-1879  4 25     3.5     3.2     3.2 1
-1879  4 26     3.2     2.9     2.9 1
-1879  4 27     3.1     2.8     2.8 1
-1879  4 28     2.4     2.1     2.1 1
-1879  4 29     2.7     2.4     2.4 1
-1879  4 30     3.5     3.2     3.2 1
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-1879  5  2     4.8     4.4     4.4 1
-1879  5  3     7.8     7.4     7.4 1
-1879  5  4     6.7     6.3     6.3 1
-1879  5  5    11.6    11.2    11.2 1
-1879  5  6     5.4     5.0     5.0 1
-1879  5  7     0.6     0.2     0.2 1
-1879  5  8     3.4     3.0     3.0 1
-1879  5  9     5.4     5.0     5.0 1
-1879  5 10     4.8     4.4     4.4 1
-1879  5 11     6.1     5.7     5.7 1
-1879  5 12     6.7     6.3     6.3 1
-1879  5 13     8.9     8.5     8.5 1
-1879  5 14     9.2     8.8     8.8 1
-1879  5 15     9.8     9.4     9.4 1
-1879  5 16     8.0     7.6     7.6 1
-1879  5 17     8.0     7.6     7.6 1
-1879  5 18    11.2    10.8    10.8 1
-1879  5 19     7.2     6.8     6.8 1
-1879  5 20     9.3     8.9     8.9 1
-1879  5 21    12.1    11.7    11.7 1
-1879  5 22    11.7    11.3    11.3 1
-1879  5 23    10.8    10.4    10.4 1
-1879  5 24     9.9     9.5     9.5 1
-1879  5 25    13.8    13.4    13.4 1
-1879  5 26    14.0    13.6    13.6 1
-1879  5 27    14.8    14.4    14.4 1
-1879  5 28    15.3    14.9    14.9 1
-1879  5 29    15.8    15.4    15.4 1
-1879  5 30    11.2    10.8    10.8 1
-1879  5 31    10.3     9.9     9.9 1
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-1879  6  2    13.0    12.7    12.7 1
-1879  6  3    13.0    12.7    12.7 1
-1879  6  4    10.5    10.2    10.2 1
-1879  6  5     9.9     9.6     9.6 1
-1879  6  6    11.8    11.5    11.5 1
-1879  6  7    13.7    13.4    13.4 1
-1879  6  8    10.9    10.6    10.6 1
-1879  6  9    13.3    13.0    13.0 1
-1879  6 10    17.2    16.9    16.9 1
-1879  6 11    18.1    17.8    17.8 1
-1879  6 12    13.3    13.0    13.0 1
-1879  6 13    15.9    15.6    15.6 1
-1879  6 14    12.0    11.7    11.7 1
-1879  6 15    12.9    12.6    12.6 1
-1879  6 16    13.0    12.7    12.7 1
-1879  6 17    15.2    14.9    14.9 1
-1879  6 18    17.0    16.7    16.7 1
-1879  6 19    16.7    16.4    16.4 1
-1879  6 20    14.3    14.0    14.0 1
-1879  6 21    17.8    17.5    17.5 1
-1879  6 22    17.3    17.0    17.0 1
-1879  6 23    14.5    14.2    14.2 1
-1879  6 24    15.7    15.4    15.4 1
-1879  6 25    14.7    14.4    14.4 1
-1879  6 26    15.9    15.6    15.6 1
-1879  6 27    16.0    15.7    15.7 1
-1879  6 28    17.7    17.4    17.4 1
-1879  6 29    16.2    15.9    15.9 1
-1879  6 30    15.1    14.8    14.8 1
-1879  7  1    14.4    14.1    14.1 1
-1879  7  2    15.1    14.8    14.8 1
-1879  7  3    13.9    13.6    13.6 1
-1879  7  4    15.7    15.4    15.4 1
-1879  7  5    12.4    12.1    12.1 1
-1879  7  6    12.5    12.2    12.2 1
-1879  7  7    14.0    13.7    13.7 1
-1879  7  8    13.6    13.3    13.3 1
-1879  7  9    14.5    14.2    14.2 1
-1879  7 10    15.2    14.9    14.9 1
-1879  7 11    14.1    13.8    13.8 1
-1879  7 12    15.6    15.3    15.3 1
-1879  7 13    16.3    16.0    16.0 1
-1879  7 14    16.1    15.8    15.8 1
-1879  7 15    17.2    16.9    16.9 1
-1879  7 16    17.2    16.9    16.9 1
-1879  7 17    18.5    18.2    18.2 1
-1879  7 18    18.7    18.4    18.4 1
-1879  7 19    16.7    16.4    16.4 1
-1879  7 20    18.2    17.9    17.9 1
-1879  7 21    17.9    17.6    17.6 1
-1879  7 22    17.8    17.5    17.5 1
-1879  7 23    17.2    16.9    16.9 1
-1879  7 24    16.7    16.4    16.4 1
-1879  7 25    17.7    17.4    17.4 1
-1879  7 26    16.6    16.3    16.3 1
-1879  7 27    16.1    15.8    15.8 1
-1879  7 28    16.9    16.6    16.6 1
-1879  7 29    15.7    15.4    15.4 1
-1879  7 30    16.7    16.4    16.4 1
-1879  7 31    17.7    17.4    17.4 1
-1879  8  1    18.2    17.9    17.9 1
-1879  8  2    18.8    18.5    18.5 1
-1879  8  3    19.2    18.9    18.9 1
-1879  8  4    19.5    19.2    19.2 1
-1879  8  5    19.1    18.8    18.8 1
-1879  8  6    18.7    18.4    18.4 1
-1879  8  7    19.5    19.2    19.2 1
-1879  8  8    19.2    18.9    18.9 1
-1879  8  9    16.1    15.8    15.8 1
-1879  8 10    16.9    16.6    16.6 1
-1879  8 11    17.0    16.7    16.7 1
-1879  8 12    16.2    15.9    15.9 1
-1879  8 13    16.4    16.1    16.1 1
-1879  8 14    16.0    15.7    15.7 1
-1879  8 15    15.4    15.1    15.1 1
-1879  8 16    16.7    16.4    16.4 1
-1879  8 17    16.2    15.9    15.9 1
-1879  8 18    15.7    15.4    15.4 1
-1879  8 19    17.0    16.7    16.7 1
-1879  8 20    15.3    15.0    15.0 1
-1879  8 21    17.6    17.3    17.3 1
-1879  8 22    19.1    18.8    18.8 1
-1879  8 23    17.3    17.0    17.0 1
-1879  8 24    15.5    15.3    15.3 1
-1879  8 25    15.4    15.2    15.2 1
-1879  8 26    13.9    13.7    13.7 1
-1879  8 27    13.7    13.5    13.5 1
-1879  8 28    15.4    15.2    15.2 1
-1879  8 29    14.0    13.8    13.8 1
-1879  8 30    15.3    15.1    15.1 1
-1879  8 31    12.9    12.7    12.7 1
-1879  9  1    12.5    12.3    12.3 1
-1879  9  2    11.9    11.7    11.7 1
-1879  9  3    15.6    15.4    15.4 1
-1879  9  4    14.7    14.5    14.5 1
-1879  9  5    11.2    11.0    11.0 1
-1879  9  6    10.0     9.8     9.8 1
-1879  9  7    11.6    11.4    11.4 1
-1879  9  8    13.7    13.5    13.5 1
-1879  9  9    15.5    15.3    15.3 1
-1879  9 10    13.1    12.9    12.9 1
-1879  9 11    11.9    11.7    11.7 1
-1879  9 12    13.5    13.3    13.3 1
-1879  9 13    14.7    14.5    14.5 1
-1879  9 14    14.5    14.3    14.3 1
-1879  9 15    13.1    12.9    12.9 1
-1879  9 16    11.1    10.9    10.9 1
-1879  9 17    10.5    10.3    10.3 1
-1879  9 18    12.4    12.2    12.2 1
-1879  9 19    14.7    14.5    14.5 1
-1879  9 20    14.6    14.5    14.5 1
-1879  9 21    13.6    13.5    13.5 1
-1879  9 22    12.3    12.2    12.2 1
-1879  9 23    12.2    12.1    12.1 1
-1879  9 24    13.0    12.9    12.9 1
-1879  9 25    13.8    13.7    13.7 1
-1879  9 26    11.0    10.9    10.9 1
-1879  9 27    11.4    11.3    11.3 1
-1879  9 28    11.6    11.5    11.5 1
-1879  9 29    13.2    13.1    13.1 1
-1879  9 30    12.1    12.0    12.0 1
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-1879 10  2    12.5    12.4    12.4 1
-1879 10  3    11.0    10.9    10.9 1
-1879 10  4     8.6     8.5     8.5 1
-1879 10  5     6.9     6.8     6.8 1
-1879 10  6     9.0     8.9     8.9 1
-1879 10  7     8.5     8.4     8.4 1
-1879 10  8     7.1     7.0     7.0 1
-1879 10  9    10.4    10.3    10.3 1
-1879 10 10     7.2     7.1     7.1 1
-1879 10 11     7.0     6.9     6.9 1
-1879 10 12     9.5     9.4     9.4 1
-1879 10 13     7.5     7.4     7.4 1
-1879 10 14     4.4     4.3     4.3 1
-1879 10 15     0.2     0.1     0.1 1
-1879 10 16     0.3     0.2     0.2 1
-1879 10 17     3.1     3.0     3.0 1
-1879 10 18     3.5     3.4     3.4 1
-1879 10 19     1.5     1.4     1.4 1
-1879 10 20     6.6     6.5     6.5 1
-1879 10 21     4.4     4.3     4.3 1
-1879 10 22     1.1     1.0     1.0 1
-1879 10 23     3.5     3.4     3.4 1
-1879 10 24     5.2     5.1     5.1 1
-1879 10 25     9.6     9.5     9.5 1
-1879 10 26     6.1     6.0     6.0 1
-1879 10 27     7.0     6.9     6.9 1
-1879 10 28     7.4     7.3     7.3 1
-1879 10 29     6.3     6.2     6.2 1
-1879 10 30     3.4     3.3     3.3 1
-1879 10 31    -2.3    -2.4    -2.4 1
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-1879 11  3    -1.8    -1.9    -1.9 1
-1879 11  4     0.9     0.8     0.8 1
-1879 11  5     2.9     2.8     2.8 1
-1879 11  6     0.0    -0.1    -0.1 1
-1879 11  7     1.1     0.9     0.9 1
-1879 11  8     4.4     4.2     4.2 1
-1879 11  9     6.5     6.3     6.3 1
-1879 11 10     5.2     5.0     5.0 1
-1879 11 11     0.4     0.2     0.2 1
-1879 11 12     2.0     1.8     1.8 1
-1879 11 13    -0.4    -0.6    -0.6 1
-1879 11 14    -1.7    -1.9    -1.9 1
-1879 11 15    -0.3    -0.5    -0.5 1
-1879 11 16     0.7     0.5     0.5 1
-1879 11 17     0.2     0.0     0.0 1
-1879 11 18    -0.8    -1.0    -1.0 1
-1879 11 19    -3.7    -3.9    -3.9 1
-1879 11 20    -2.2    -2.4    -2.4 1
-1879 11 21     0.3     0.1     0.1 1
-1879 11 22     3.1     2.9     2.9 1
-1879 11 23     2.5     2.3     2.3 1
-1879 11 24    -3.7    -3.9    -3.9 1
-1879 11 25    -6.6    -6.8    -6.8 1
-1879 11 26    -5.7    -5.9    -5.9 1
-1879 11 27    -3.8    -4.0    -4.0 1
-1879 11 28    -3.6    -3.8    -3.8 1
-1879 11 29    -8.3    -8.5    -8.5 1
-1879 11 30   -13.8   -14.0   -14.0 1
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-1879 12  2   -15.4   -15.6   -15.6 1
-1879 12  3   -16.4   -16.6   -16.6 1
-1879 12  4   -12.7   -12.9   -12.9 1
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-1879 12  6    -6.0    -6.2    -6.2 1
-1879 12  7    -7.5    -7.7    -7.7 1
-1879 12  8    -5.2    -5.4    -5.4 1
-1879 12  9    -0.4    -0.6    -0.6 1
-1879 12 10    -7.7    -7.9    -7.9 1
-1879 12 11    -2.6    -2.8    -2.8 1
-1879 12 12    -6.7    -6.9    -6.9 1
-1879 12 13    -3.4    -3.6    -3.6 1
-1879 12 14    -1.0    -1.2    -1.2 1
-1879 12 15     2.7     2.5     2.5 1
-1879 12 16     3.3     3.1     3.1 1
-1879 12 17     2.7     2.5     2.5 1
-1879 12 18    -0.8    -1.0    -1.0 1
-1879 12 19    -1.9    -2.1    -2.1 1
-1879 12 20    -0.6    -0.8    -0.8 1
-1879 12 21    -2.1    -2.3    -2.3 1
-1879 12 22    -0.4    -0.6    -0.6 1
-1879 12 23     3.3     3.1     3.1 1
-1879 12 24     3.8     3.6     3.6 1
-1879 12 25     0.7     0.5     0.5 1
-1879 12 26    -4.6    -4.8    -4.8 1
-1879 12 27    -6.8    -7.0    -7.0 1
-1879 12 28     0.2     0.0     0.0 1
-1879 12 29     2.6     2.4     2.4 1
-1879 12 30     1.2     1.0     1.0 1
-1879 12 31    -4.5    -4.7    -4.7 1
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-1880  1  2     2.7     2.4     2.4 1
-1880  1  3     2.6     2.3     2.3 1
-1880  1  4    -0.5    -0.8    -0.8 1
-1880  1  5     0.5     0.2     0.2 1
-1880  1  6     0.7     0.4     0.4 1
-1880  1  7     0.7     0.4     0.4 1
-1880  1  8     0.2    -0.1    -0.1 1
-1880  1  9    -1.6    -1.9    -1.9 1
-1880  1 10    -1.0    -1.3    -1.3 1
-1880  1 11    -3.0    -3.3    -3.3 1
-1880  1 12    -2.9    -3.2    -3.2 1
-1880  1 13    -1.5    -1.8    -1.8 1
-1880  1 14    -5.0    -5.3    -5.3 1
-1880  1 15    -6.2    -6.5    -6.5 1
-1880  1 16    -8.2    -8.5    -8.5 1
-1880  1 17   -10.4   -10.7   -10.7 1
-1880  1 18   -10.4   -10.7   -10.7 1
-1880  1 19   -10.0   -10.3   -10.3 1
-1880  1 20    -3.0    -3.3    -3.3 1
-1880  1 21    -7.5    -7.8    -7.8 1
-1880  1 22    -4.6    -4.9    -4.9 1
-1880  1 23    -8.7    -9.0    -9.0 1
-1880  1 24    -4.2    -4.5    -4.5 1
-1880  1 25    -6.7    -7.0    -7.0 1
-1880  1 26    -4.7    -5.0    -5.0 1
-1880  1 27    -0.4    -0.7    -0.7 1
-1880  1 28     0.3     0.0     0.0 1
-1880  1 29    -0.6    -0.9    -0.9 1
-1880  1 30    -0.6    -0.9    -0.9 1
-1880  1 31     2.8     2.5     2.5 1
-1880  2  1     5.8     5.5     5.5 1
-1880  2  2     4.4     4.1     4.1 1
-1880  2  3     4.4     4.1     4.1 1
-1880  2  4     4.8     4.5     4.5 1
-1880  2  5     4.2     3.9     3.9 1
-1880  2  6     0.5     0.2     0.2 1
-1880  2  7     1.8     1.5     1.5 1
-1880  2  8    -0.7    -1.0    -1.0 1
-1880  2  9     2.0     1.7     1.7 1
-1880  2 10     1.5     1.2     1.2 1
-1880  2 11    -0.7    -1.0    -1.0 1
-1880  2 12    -0.3    -0.6    -0.6 1
-1880  2 13    -1.6    -1.9    -1.9 1
-1880  2 14    -2.7    -3.0    -3.0 1
-1880  2 15    -1.9    -2.2    -2.2 1
-1880  2 16    -3.1    -3.4    -3.4 1
-1880  2 17    -5.3    -5.6    -5.6 1
-1880  2 18    -5.8    -6.1    -6.1 1
-1880  2 19    -4.4    -4.7    -4.7 1
-1880  2 20     0.8     0.5     0.5 1
-1880  2 21    -1.1    -1.4    -1.4 1
-1880  2 22    -5.5    -5.8    -5.8 1
-1880  2 23    -5.1    -5.4    -5.4 1
-1880  2 24    -4.3    -4.6    -4.6 1
-1880  2 25     1.9     1.6     1.6 1
-1880  2 26     2.0     1.7     1.7 1
-1880  2 27    -3.4    -3.7    -3.7 1
-1880  2 28    -1.6    -1.9    -1.9 1
-1880  2 29    -2.8    -3.1    -3.1 1
-1880  3  1     0.6     0.3     0.3 1
-1880  3  2     1.8     1.5     1.5 1
-1880  3  3     1.2     0.9     0.9 1
-1880  3  4    -0.8    -1.1    -1.1 1
-1880  3  5    -5.0    -5.3    -5.3 1
-1880  3  6    -3.4    -3.7    -3.7 1
-1880  3  7    -0.3    -0.6    -0.6 1
-1880  3  8    -4.5    -4.8    -4.8 1
-1880  3  9     1.5     1.2     1.2 1
-1880  3 10     2.5     2.2     2.2 1
-1880  3 11    -1.4    -1.7    -1.7 1
-1880  3 12    -5.4    -5.7    -5.7 1
-1880  3 13    -2.2    -2.5    -2.5 1
-1880  3 14    -2.6    -2.9    -2.9 1
-1880  3 15    -1.4    -1.7    -1.7 1
-1880  3 16     2.7     2.4     2.4 1
-1880  3 17    -2.9    -3.2    -3.2 1
-1880  3 18    -2.3    -2.6    -2.6 1
-1880  3 19     1.0     0.7     0.7 1
-1880  3 20    -1.4    -1.7    -1.7 1
-1880  3 21     2.3     2.0     2.0 1
-1880  3 22     1.4     1.1     1.1 1
-1880  3 23     2.7     2.4     2.4 1
-1880  3 24     5.0     4.7     4.7 1
-1880  3 25     1.0     0.7     0.7 1
-1880  3 26     4.5     4.2     4.2 1
-1880  3 27    -2.0    -2.3    -2.3 1
-1880  3 28     0.8     0.5     0.5 1
-1880  3 29     1.1     0.8     0.8 1
-1880  3 30    -2.7    -3.0    -3.0 1
-1880  3 31    -0.3    -0.6    -0.6 1
-1880  4  1    -0.6    -0.9    -0.9 1
-1880  4  2    -1.2    -1.5    -1.5 1
-1880  4  3    -2.7    -3.0    -3.0 1
-1880  4  4    -3.8    -4.1    -4.1 1
-1880  4  5     0.4     0.1     0.1 1
-1880  4  6     1.3     1.0     1.0 1
-1880  4  7     1.9     1.6     1.6 1
-1880  4  8     2.1     1.8     1.8 1
-1880  4  9     1.2     0.9     0.9 1
-1880  4 10     2.5     2.2     2.2 1
-1880  4 11     6.2     5.9     5.9 1
-1880  4 12     5.4     5.1     5.1 1
-1880  4 13     7.1     6.8     6.8 1
-1880  4 14     8.1     7.8     7.8 1
-1880  4 15     5.9     5.6     5.6 1
-1880  4 16     4.5     4.2     4.2 1
-1880  4 17     6.5     6.2     6.2 1
-1880  4 18     7.3     7.0     7.0 1
-1880  4 19     7.5     7.2     7.2 1
-1880  4 20    11.3    11.0    11.0 1
-1880  4 21    11.1    10.8    10.8 1
-1880  4 22     9.9     9.6     9.6 1
-1880  4 23     9.8     9.5     9.5 1
-1880  4 24     6.5     6.2     6.2 1
-1880  4 25     5.1     4.8     4.8 1
-1880  4 26     5.0     4.6     4.6 1
-1880  4 27     3.2     2.8     2.8 1
-1880  4 28     0.8     0.4     0.4 1
-1880  4 29     2.2     1.8     1.8 1
-1880  4 30     4.8     4.4     4.4 1
-1880  5  1     6.3     5.9     5.9 1
-1880  5  2     8.1     7.7     7.7 1
-1880  5  3     9.9     9.5     9.5 1
-1880  5  4    10.1     9.7     9.7 1
-1880  5  5    10.9    10.5    10.5 1
-1880  5  6    13.3    12.9    12.9 1
-1880  5  7     5.9     5.5     5.5 1
-1880  5  8     5.2     4.8     4.8 1
-1880  5  9     5.2     4.8     4.8 1
-1880  5 10     4.8     4.4     4.4 1
-1880  5 11     6.4     6.0     6.0 1
-1880  5 12     7.6     7.2     7.2 1
-1880  5 13    10.6    10.1    10.1 1
-1880  5 14    13.4    12.9    12.9 1
-1880  5 15    12.1    11.6    11.6 1
-1880  5 16     4.1     3.6     3.6 1
-1880  5 17     3.2     2.7     2.7 1
-1880  5 18     2.1     1.6     1.6 1
-1880  5 19     5.3     4.9     4.9 1
-1880  5 20     6.8     6.4     6.4 1
-1880  5 21     9.3     8.9     8.9 1
-1880  5 22     7.6     7.2     7.2 1
-1880  5 23     8.7     8.3     8.3 1
-1880  5 24     9.7     9.3     9.3 1
-1880  5 25     9.6     9.2     9.2 1
-1880  5 26    12.2    11.8    11.8 1
-1880  5 27    15.4    15.0    15.0 1
-1880  5 28    17.7    17.3    17.3 1
-1880  5 29    11.2    10.8    10.8 1
-1880  5 30    10.3     9.9     9.9 1
-1880  5 31    11.7    11.3    11.3 1
-1880  6  1    13.7    13.3    13.3 1
-1880  6  2    18.6    18.2    18.2 1
-1880  6  3    17.5    17.1    17.1 1
-1880  6  4    12.4    12.0    12.0 1
-1880  6  5     9.6     9.2     9.2 1
-1880  6  6     8.1     7.7     7.7 1
-1880  6  7     9.3     8.9     8.9 1
-1880  6  8    10.7    10.4    10.4 1
-1880  6  9    10.3    10.0    10.0 1
-1880  6 10     9.4     9.1     9.1 1
-1880  6 11    13.2    12.9    12.9 1
-1880  6 12    14.4    14.1    14.1 1
-1880  6 13    14.2    13.9    13.9 1
-1880  6 14    14.8    14.5    14.5 1
-1880  6 15    12.5    12.2    12.2 1
-1880  6 16    16.2    15.9    15.9 1
-1880  6 17    21.0    20.7    20.7 1
-1880  6 18    19.3    19.0    19.0 1
-1880  6 19    11.4    11.1    11.1 1
-1880  6 20    12.4    12.1    12.1 1
-1880  6 21    16.8    16.5    16.5 1
-1880  6 22    15.2    14.9    14.9 1
-1880  6 23    13.9    13.6    13.6 1
-1880  6 24    15.2    14.9    14.9 1
-1880  6 25    15.3    15.0    15.0 1
-1880  6 26    13.7    13.4    13.4 1
-1880  6 27    13.1    12.8    12.8 1
-1880  6 28    16.9    16.6    16.6 1
-1880  6 29    17.1    16.8    16.8 1
-1880  6 30    17.2    16.9    16.9 1
-1880  7  1    18.9    18.6    18.6 1
-1880  7  2    17.7    17.4    17.4 1
-1880  7  3    17.2    16.9    16.9 1
-1880  7  4    18.1    17.8    17.8 1
-1880  7  5    16.7    16.4    16.4 1
-1880  7  6    16.1    15.8    15.8 1
-1880  7  7    17.5    17.2    17.2 1
-1880  7  8    19.0    18.7    18.7 1
-1880  7  9    17.9    17.6    17.6 1
-1880  7 10    19.9    19.6    19.6 1
-1880  7 11    18.4    18.1    18.1 1
-1880  7 12    18.2    17.9    17.9 1
-1880  7 13    19.2    18.9    18.9 1
-1880  7 14    19.6    19.3    19.3 1
-1880  7 15    21.9    21.6    21.6 1
-1880  7 16    19.3    19.0    19.0 1
-1880  7 17    20.3    20.0    20.0 1
-1880  7 18    13.2    12.9    12.9 1
-1880  7 19    14.9    14.6    14.6 1
-1880  7 20    15.2    14.9    14.9 1
-1880  7 21    14.5    14.2    14.2 1
-1880  7 22    14.6    14.3    14.3 1
-1880  7 23    15.4    15.1    15.1 1
-1880  7 24    14.3    14.0    14.0 1
-1880  7 25    15.0    14.7    14.7 1
-1880  7 26    14.4    14.1    14.1 1
-1880  7 27    15.0    14.7    14.7 1
-1880  7 28    15.3    15.0    15.0 1
-1880  7 29    16.3    16.0    16.0 1
-1880  7 30    17.3    17.0    17.0 1
-1880  7 31    16.0    15.7    15.7 1
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-1880  8  2    15.8    15.5    15.5 1
-1880  8  3    16.4    16.1    16.1 1
-1880  8  4    17.3    17.0    17.0 1
-1880  8  5    17.8    17.5    17.5 1
-1880  8  6    16.0    15.7    15.7 1
-1880  8  7    18.0    17.7    17.7 1
-1880  8  8    18.8    18.5    18.5 1
-1880  8  9    19.0    18.7    18.7 1
-1880  8 10    19.3    19.0    19.0 1
-1880  8 11    21.1    20.8    20.8 1
-1880  8 12    19.9    19.6    19.6 1
-1880  8 13    19.9    19.6    19.6 1
-1880  8 14    19.8    19.5    19.5 1
-1880  8 15    19.1    18.8    18.8 1
-1880  8 16    18.8    18.5    18.5 1
-1880  8 17    18.9    18.6    18.6 1
-1880  8 18    17.1    16.8    16.8 1
-1880  8 19    19.0    18.7    18.7 1
-1880  8 20    20.1    19.8    19.8 1
-1880  8 21    18.8    18.5    18.5 1
-1880  8 22    18.0    17.7    17.7 1
-1880  8 23    17.8    17.5    17.5 1
-1880  8 24    18.0    17.7    17.7 1
-1880  8 25    15.3    15.0    15.0 1
-1880  8 26    14.2    13.9    13.9 1
-1880  8 27    18.9    18.6    18.6 1
-1880  8 28    17.2    16.9    16.9 1
-1880  8 29    18.1    17.9    17.9 1
-1880  8 30    18.4    18.2    18.2 1
-1880  8 31    17.8    17.6    17.6 1
-1880  9  1    19.8    19.6    19.6 1
-1880  9  2    18.4    18.2    18.2 1
-1880  9  3    15.7    15.5    15.5 1
-1880  9  4    16.7    16.5    16.5 1
-1880  9  5    19.4    19.2    19.2 1
-1880  9  6    20.2    20.0    20.0 1
-1880  9  7    15.9    15.7    15.7 1
-1880  9  8    14.1    13.9    13.9 1
-1880  9  9    11.3    11.1    11.1 1
-1880  9 10    12.1    11.9    11.9 1
-1880  9 11    14.0    13.8    13.8 1
-1880  9 12    14.9    14.7    14.7 1
-1880  9 13    15.7    15.5    15.5 1
-1880  9 14    14.0    13.8    13.8 1
-1880  9 15    12.1    11.9    11.9 1
-1880  9 16    12.4    12.2    12.2 1
-1880  9 17    14.0    13.8    13.8 1
-1880  9 18    13.8    13.6    13.6 1
-1880  9 19    14.1    13.9    13.9 1
-1880  9 20    13.8    13.6    13.6 1
-1880  9 21    13.1    12.9    12.9 1
-1880  9 22    12.5    12.3    12.3 1
-1880  9 23    12.0    11.8    11.8 1
-1880  9 24    11.3    11.1    11.1 1
-1880  9 25     9.2     9.0     9.0 1
-1880  9 26    10.3    10.2    10.2 1
-1880  9 27    10.4    10.3    10.3 1
-1880  9 28    12.9    12.8    12.8 1
-1880  9 29     7.9     7.8     7.8 1
-1880  9 30     8.2     8.1     8.1 1
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-1880 10  2     4.1     4.0     4.0 1
-1880 10  3     2.6     2.5     2.5 1
-1880 10  4     2.7     2.6     2.6 1
-1880 10  5     3.3     3.2     3.2 1
-1880 10  6     4.3     4.2     4.2 1
-1880 10  7     3.7     3.6     3.6 1
-1880 10  8     2.5     2.4     2.4 1
-1880 10  9     2.5     2.4     2.4 1
-1880 10 10     2.4     2.3     2.3 1
-1880 10 11     2.8     2.7     2.7 1
-1880 10 12     7.0     6.9     6.9 1
-1880 10 13     7.1     7.0     7.0 1
-1880 10 14     4.7     4.6     4.6 1
-1880 10 15     3.3     3.2     3.2 1
-1880 10 16     0.6     0.5     0.5 1
-1880 10 17     2.7     2.6     2.6 1
-1880 10 18     3.3     3.2     3.2 1
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-1880 10 20    -2.7    -2.8    -2.8 1
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-1880 10 22    -6.8    -6.9    -6.9 1
-1880 10 23    -2.5    -2.6    -2.6 1
-1880 10 24    -0.1    -0.2    -0.2 1
-1880 10 25    -3.1    -3.2    -3.2 1
-1880 10 26    -5.2    -5.3    -5.3 1
-1880 10 27    -3.8    -3.9    -3.9 1
-1880 10 28    -4.7    -4.8    -4.8 1
-1880 10 29    -2.2    -2.3    -2.3 1
-1880 10 30    -4.8    -4.9    -4.9 1
-1880 10 31    -4.8    -4.9    -4.9 1
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-1880 11  4     3.3     3.1     3.1 1
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-1880 11 10    -2.9    -3.1    -3.1 1
-1880 11 11    -0.9    -1.1    -1.1 1
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-1880 11 13     4.9     4.7     4.7 1
-1880 11 14     2.6     2.4     2.4 1
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-1880 11 17     3.4     3.2     3.2 1
-1880 11 18     1.2     1.0     1.0 1
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-1880 11 20    -6.8    -7.0    -7.0 1
-1880 11 21    -2.8    -3.0    -3.0 1
-1880 11 22    -4.0    -4.2    -4.2 1
-1880 11 23     0.9     0.7     0.7 1
-1880 11 24     1.2     1.0     1.0 1
-1880 11 25     2.7     2.5     2.5 1
-1880 11 26     3.4     3.2     3.2 1
-1880 11 27     5.6     5.4     5.4 1
-1880 11 28     5.8     5.6     5.6 1
-1880 11 29     7.1     6.9     6.9 1
-1880 11 30     4.4     4.2     4.2 1
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-1880 12  9     0.4     0.2     0.2 1
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-1880 12 11    -6.7    -6.9    -6.9 1
-1880 12 12    -0.7    -0.9    -0.9 1
-1880 12 13    -4.2    -4.4    -4.4 1
-1880 12 14    -7.4    -7.6    -7.6 1
-1880 12 15   -10.0   -10.2   -10.2 1
-1880 12 16    -6.9    -7.1    -7.1 1
-1880 12 17    -6.2    -6.4    -6.4 1
-1880 12 18   -12.0   -12.2   -12.2 1
-1880 12 19    -0.1    -0.3    -0.3 1
-1880 12 20     0.2     0.0     0.0 1
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-1880 12 22    -9.9   -10.1   -10.1 1
-1880 12 23    -9.6    -9.8    -9.8 1
-1880 12 24    -3.6    -3.8    -3.8 1
-1880 12 25    -1.3    -1.5    -1.5 1
-1880 12 26    -2.6    -2.8    -2.8 1
-1880 12 27    -7.5    -7.7    -7.7 1
-1880 12 28   -14.0   -14.2   -14.2 1
-1880 12 29    -0.5    -0.7    -0.7 1
-1880 12 30     1.7     1.5     1.5 1
-1880 12 31     0.4     0.1     0.1 1
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-1881  1  4     2.4     2.1     2.1 1
-1881  1  5    -2.2    -2.5    -2.5 1
-1881  1  6    -3.1    -3.4    -3.4 1
-1881  1  7    -1.2    -1.5    -1.5 1
-1881  1  8    -4.3    -4.6    -4.6 1
-1881  1  9    -3.3    -3.6    -3.6 1
-1881  1 10    -9.8   -10.1   -10.1 1
-1881  1 11   -11.5   -11.8   -11.8 1
-1881  1 12   -15.5   -15.8   -15.8 1
-1881  1 13   -18.8   -19.1   -19.1 1
-1881  1 14   -15.9   -16.2   -16.2 1
-1881  1 15    -7.7    -8.0    -8.0 1
-1881  1 16   -14.4   -14.7   -14.7 1
-1881  1 17   -13.4   -13.7   -13.7 1
-1881  1 18   -16.0   -16.3   -16.3 1
-1881  1 19   -20.4   -20.7   -20.7 1
-1881  1 20   -17.7   -18.0   -18.0 1
-1881  1 21   -13.3   -13.6   -13.6 1
-1881  1 22    -7.7    -8.0    -8.0 1
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-1881  1 24    -8.0    -8.3    -8.3 1
-1881  1 25    -1.2    -1.5    -1.5 1
-1881  1 26    -0.3    -0.6    -0.6 1
-1881  1 27    -6.2    -6.5    -6.5 1
-1881  1 28    -2.4    -2.7    -2.7 1
-1881  1 29    -3.1    -3.4    -3.4 1
-1881  1 30    -3.6    -3.9    -3.9 1
-1881  1 31    -1.3    -1.6    -1.6 1
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-1881  2  2    -9.0    -9.3    -9.3 1
-1881  2  3   -11.5   -11.8   -11.8 1
-1881  2  4   -10.4   -10.7   -10.7 1
-1881  2  5    -0.6    -0.9    -0.9 1
-1881  2  6    -5.2    -5.5    -5.5 1
-1881  2  7   -14.4   -14.7   -14.7 1
-1881  2  8    -5.3    -5.6    -5.6 1
-1881  2  9    -8.6    -8.9    -8.9 1
-1881  2 10   -12.2   -12.5   -12.5 1
-1881  2 11   -11.0   -11.3   -11.3 1
-1881  2 12    -8.8    -9.1    -9.1 1
-1881  2 13   -10.1   -10.4   -10.4 1
-1881  2 14   -10.7   -11.0   -11.0 1
-1881  2 15    -6.9    -7.2    -7.2 1
-1881  2 16    -5.1    -5.4    -5.4 1
-1881  2 17    -1.5    -1.8    -1.8 1
-1881  2 18    -2.7    -3.0    -3.0 1
-1881  2 19    -5.9    -6.2    -6.2 1
-1881  2 20   -10.0   -10.3   -10.3 1
-1881  2 21    -7.6    -7.9    -7.9 1
-1881  2 22    -7.8    -8.1    -8.1 1
-1881  2 23    -7.2    -7.5    -7.5 1
-1881  2 24    -4.3    -4.6    -4.6 1
-1881  2 25    -6.1    -6.4    -6.4 1
-1881  2 26    -7.7    -8.0    -8.0 1
-1881  2 27   -12.3   -12.6   -12.6 1
-1881  2 28    -9.6    -9.9    -9.9 1
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-1881  3  2   -12.8   -13.1   -13.1 1
-1881  3  3   -11.1   -11.4   -11.4 1
-1881  3  4   -11.5   -11.8   -11.8 1
-1881  3  5    -9.1    -9.4    -9.4 1
-1881  3  6    -9.7   -10.0   -10.0 1
-1881  3  7   -12.3   -12.6   -12.6 1
-1881  3  8    -6.3    -6.6    -6.6 1
-1881  3  9    -9.1    -9.4    -9.4 1
-1881  3 10    -8.2    -8.5    -8.5 1
-1881  3 11    -8.0    -8.3    -8.3 1
-1881  3 12    -8.0    -8.3    -8.3 1
-1881  3 13   -10.0   -10.3   -10.3 1
-1881  3 14    -5.1    -5.4    -5.4 1
-1881  3 15    -5.9    -6.2    -6.2 1
-1881  3 16    -1.4    -1.7    -1.7 1
-1881  3 17    -0.1    -0.4    -0.4 1
-1881  3 18     4.1     3.8     3.8 1
-1881  3 19    -0.4    -0.7    -0.7 1
-1881  3 20    -5.1    -5.4    -5.4 1
-1881  3 21    -8.4    -8.7    -8.7 1
-1881  3 22    -8.2    -8.5    -8.5 1
-1881  3 23    -7.2    -7.5    -7.5 1
-1881  3 24    -2.0    -2.3    -2.3 1
-1881  3 25     0.5     0.2     0.2 1
-1881  3 26    -3.0    -3.3    -3.3 1
-1881  3 27    -5.4    -5.7    -5.7 1
-1881  3 28    -1.2    -1.5    -1.5 1
-1881  3 29     0.0    -0.3    -0.3 1
-1881  3 30    -3.6    -3.9    -3.9 1
-1881  3 31    -5.0    -5.3    -5.3 1
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-1881  4  2    -6.8    -7.1    -7.1 1
-1881  4  3    -5.5    -5.8    -5.8 1
-1881  4  4    -2.1    -2.4    -2.4 1
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-1881  4  6    -0.9    -1.2    -1.2 1
-1881  4  7    -4.4    -4.7    -4.7 1
-1881  4  8    -2.4    -2.7    -2.7 1
-1881  4  9    -0.1    -0.4    -0.4 1
-1881  4 10     0.3     0.0     0.0 1
-1881  4 11     1.0     0.7     0.7 1
-1881  4 12     2.6     2.3     2.3 1
-1881  4 13     3.6     3.3     3.3 1
-1881  4 14     5.1     4.8     4.8 1
-1881  4 15     5.2     4.9     4.9 1
-1881  4 16     7.5     7.2     7.2 1
-1881  4 17     3.6     3.3     3.3 1
-1881  4 18     5.7     5.4     5.4 1
-1881  4 19    -1.3    -1.6    -1.6 1
-1881  4 20     0.2    -0.1    -0.1 1
-1881  4 21    -1.2    -1.5    -1.5 1
-1881  4 22     0.4     0.0     0.0 1
-1881  4 23    -1.1    -1.5    -1.5 1
-1881  4 24     4.1     3.7     3.7 1
-1881  4 25     4.3     3.9     3.9 1
-1881  4 26     5.1     4.7     4.7 1
-1881  4 27     2.5     2.1     2.1 1
-1881  4 28     0.0    -0.4    -0.4 1
-1881  4 29     2.1     1.7     1.7 1
-1881  4 30     2.9     2.5     2.5 1
-1881  5  1     1.7     1.3     1.3 1
-1881  5  2     1.4     1.0     1.0 1
-1881  5  3     0.9     0.5     0.5 1
-1881  5  4     1.3     0.9     0.9 1
-1881  5  5     4.5     4.1     4.1 1
-1881  5  6     6.6     6.2     6.2 1
-1881  5  7     8.3     7.8     7.8 1
-1881  5  8     4.0     3.5     3.5 1
-1881  5  9    -0.2    -0.7    -0.7 1
-1881  5 10     2.6     2.1     2.1 1
-1881  5 11     4.6     4.1     4.1 1
-1881  5 12     9.1     8.6     8.6 1
-1881  5 13    11.2    10.7    10.7 1
-1881  5 14    11.2    10.7    10.7 1
-1881  5 15     9.4     8.9     8.9 1
-1881  5 16    10.0     9.5     9.5 1
-1881  5 17     8.8     8.3     8.3 1
-1881  5 18     7.9     7.4     7.4 1
-1881  5 19     8.3     7.8     7.8 1
-1881  5 20     8.2     7.7     7.7 1
-1881  5 21    10.7    10.2    10.2 1
-1881  5 22    10.5    10.0    10.0 1
-1881  5 23    13.1    12.6    12.6 1
-1881  5 24    16.4    15.9    15.9 1
-1881  5 25    16.7    16.2    16.2 1
-1881  5 26    11.5    11.1    11.1 1
-1881  5 27    11.1    10.7    10.7 1
-1881  5 28     7.0     6.6     6.6 1
-1881  5 29    10.6    10.2    10.2 1
-1881  5 30    13.9    13.5    13.5 1
-1881  5 31    14.7    14.3    14.3 1
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-1881  6  2    14.2    13.8    13.8 1
-1881  6  3    19.0    18.6    18.6 1
-1881  6  4    14.4    14.0    14.0 1
-1881  6  5    13.4    13.0    13.0 1
-1881  6  6    14.4    14.0    14.0 1
-1881  6  7    14.6    14.2    14.2 1
-1881  6  8    11.4    11.0    11.0 1
-1881  6  9     7.6     7.2     7.2 1
-1881  6 10     4.9     4.5     4.5 1
-1881  6 11     3.7     3.3     3.3 1
-1881  6 12     5.9     5.5     5.5 1
-1881  6 13     6.8     6.5     6.5 1
-1881  6 14     6.5     6.2     6.2 1
-1881  6 15     8.8     8.5     8.5 1
-1881  6 16    12.1    11.8    11.8 1
-1881  6 17    14.5    14.2    14.2 1
-1881  6 18    15.2    14.9    14.9 1
-1881  6 19    16.1    15.8    15.8 1
-1881  6 20    16.4    16.1    16.1 1
-1881  6 21    16.5    16.2    16.2 1
-1881  6 22    17.6    17.3    17.3 1
-1881  6 23    15.7    15.4    15.4 1
-1881  6 24    14.0    13.7    13.7 1
-1881  6 25    14.7    14.4    14.4 1
-1881  6 26    14.7    14.4    14.4 1
-1881  6 27    16.6    16.3    16.3 1
-1881  6 28    13.3    13.0    13.0 1
-1881  6 29    15.7    15.4    15.4 1
-1881  6 30    15.2    14.9    14.9 1
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-1881  7  3    18.7    18.4    18.4 1
-1881  7  4    15.4    15.0    15.0 1
-1881  7  5    15.5    15.1    15.1 1
-1881  7  6    13.1    12.7    12.7 1
-1881  7  7    12.0    11.6    11.6 1
-1881  7  8    11.4    11.0    11.0 1
-1881  7  9    10.7    10.3    10.3 1
-1881  7 10    13.7    13.3    13.3 1
-1881  7 11    15.6    15.2    15.2 1
-1881  7 12    18.4    18.0    18.0 1
-1881  7 13    19.8    19.4    19.4 1
-1881  7 14    17.5    17.1    17.1 1
-1881  7 15    20.1    19.7    19.7 1
-1881  7 16    17.5    17.1    17.1 1
-1881  7 17    14.2    13.8    13.8 1
-1881  7 18    13.9    13.5    13.5 1
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-1881  7 20    17.3    16.9    16.9 1
-1881  7 21    16.8    16.4    16.4 1
-1881  7 22    15.4    15.0    15.0 1
-1881  7 23    15.6    15.2    15.2 1
-1881  7 24    16.9    16.5    16.5 1
-1881  7 25    17.9    17.5    17.5 1
-1881  7 26    16.3    15.9    15.9 1
-1881  7 27    14.7    14.4    14.4 1
-1881  7 28    13.4    13.1    13.1 1
-1881  7 29    14.7    14.4    14.4 1
-1881  7 30    15.4    15.1    15.1 1
-1881  7 31    16.7    16.4    16.4 1
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-1881  8  2    14.9    14.6    14.6 1
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-1881  8  5    14.8    14.5    14.5 1
-1881  8  6    18.1    17.8    17.8 1
-1881  8  7    16.6    16.3    16.3 1
-1881  8  8    16.0    15.7    15.7 1
-1881  8  9    17.0    16.7    16.7 1
-1881  8 10    15.5    15.2    15.2 1
-1881  8 11    13.5    13.2    13.2 1
-1881  8 12    12.7    12.4    12.4 1
-1881  8 13    12.6    12.3    12.3 1
-1881  8 14    12.9    12.6    12.6 1
-1881  8 15    13.1    12.8    12.8 1
-1881  8 16    12.5    12.2    12.2 1
-1881  8 17    14.0    13.7    13.7 1
-1881  8 18    13.7    13.4    13.4 1
-1881  8 19    14.2    13.9    13.9 1
-1881  8 20    13.4    13.1    13.1 1
-1881  8 21    12.9    12.6    12.6 1
-1881  8 22    13.8    13.5    13.5 1
-1881  8 23    14.0    13.7    13.7 1
-1881  8 24    13.1    12.8    12.8 1
-1881  8 25    10.6    10.3    10.3 1
-1881  8 26    13.5    13.2    13.2 1
-1881  8 27    15.3    15.0    15.0 1
-1881  8 28    12.4    12.1    12.1 1
-1881  8 29    12.2    11.9    11.9 1
-1881  8 30    11.8    11.5    11.5 1
-1881  8 31    12.1    11.8    11.8 1
-1881  9  1    11.9    11.6    11.6 1
-1881  9  2    11.0    10.7    10.7 1
-1881  9  3    10.5    10.3    10.3 1
-1881  9  4    12.1    11.9    11.9 1
-1881  9  5    13.7    13.5    13.5 1
-1881  9  6    14.2    14.0    14.0 1
-1881  9  7    15.0    14.8    14.8 1
-1881  9  8    15.4    15.2    15.2 1
-1881  9  9    14.6    14.4    14.4 1
-1881  9 10    13.1    12.9    12.9 1
-1881  9 11    10.7    10.5    10.5 1
-1881  9 12    12.9    12.7    12.7 1
-1881  9 13    13.1    12.9    12.9 1
-1881  9 14    11.8    11.6    11.6 1
-1881  9 15    12.8    12.6    12.6 1
-1881  9 16    11.3    11.1    11.1 1
-1881  9 17     8.6     8.4     8.4 1
-1881  9 18    11.1    10.9    10.9 1
-1881  9 19    11.7    11.5    11.5 1
-1881  9 20    10.0     9.8     9.8 1
-1881  9 21     7.8     7.6     7.6 1
-1881  9 22     6.6     6.4     6.4 1
-1881  9 23     6.7     6.5     6.5 1
-1881  9 24     8.5     8.3     8.3 1
-1881  9 25     7.9     7.7     7.7 1
-1881  9 26     7.5     7.3     7.3 1
-1881  9 27     8.2     8.0     8.0 1
-1881  9 28     8.6     8.4     8.4 1
-1881  9 29     9.5     9.3     9.3 1
-1881  9 30    10.4    10.2    10.2 1
-1881 10  1     8.8     8.6     8.6 1
-1881 10  2     7.2     7.1     7.1 1
-1881 10  3     4.3     4.2     4.2 1
-1881 10  4     6.3     6.2     6.2 1
-1881 10  5     7.0     6.9     6.9 1
-1881 10  6     7.0     6.9     6.9 1
-1881 10  7     7.0     6.9     6.9 1
-1881 10  8     7.0     6.9     6.9 1
-1881 10  9     9.2     9.1     9.1 1
-1881 10 10     8.8     8.7     8.7 1
-1881 10 11    10.4    10.3    10.3 1
-1881 10 12     7.6     7.5     7.5 1
-1881 10 13     5.2     5.1     5.1 1
-1881 10 14     6.2     6.1     6.1 1
-1881 10 15     7.4     7.3     7.3 1
-1881 10 16     5.0     4.9     4.9 1
-1881 10 17     4.3     4.2     4.2 1
-1881 10 18     5.1     5.0     5.0 1
-1881 10 19     5.0     4.9     4.9 1
-1881 10 20     4.7     4.6     4.6 1
-1881 10 21     1.7     1.6     1.6 1
-1881 10 22     3.3     3.2     3.2 1
-1881 10 23     2.4     2.3     2.3 1
-1881 10 24     2.5     2.4     2.4 1
-1881 10 25     1.2     1.1     1.1 1
-1881 10 26    -1.8    -1.9    -1.9 1
-1881 10 27    -0.7    -0.8    -0.8 1
-1881 10 28    -1.0    -1.2    -1.2 1
-1881 10 29    -5.0    -5.2    -5.2 1
-1881 10 30    -3.6    -3.8    -3.8 1
-1881 10 31    -0.4    -0.6    -0.6 1
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-1881 11  3    -3.1    -3.3    -3.3 1
-1881 11  4    -1.1    -1.3    -1.3 1
-1881 11  5     0.3     0.1     0.1 1
-1881 11  6    -0.2    -0.4    -0.4 1
-1881 11  7    -0.8    -1.0    -1.0 1
-1881 11  8     1.0     0.8     0.8 1
-1881 11  9     4.7     4.5     4.5 1
-1881 11 10     4.0     3.8     3.8 1
-1881 11 11     3.4     3.2     3.2 1
-1881 11 12     3.7     3.5     3.5 1
-1881 11 13     4.3     4.1     4.1 1
-1881 11 14     4.1     3.9     3.9 1
-1881 11 15     4.0     3.8     3.8 1
-1881 11 16     7.1     6.9     6.9 1
-1881 11 17     7.0     6.8     6.8 1
-1881 11 18    -3.0    -3.2    -3.2 1
-1881 11 19    -3.7    -3.9    -3.9 1
-1881 11 20     4.6     4.4     4.4 1
-1881 11 21     3.7     3.5     3.5 1
-1881 11 22     5.7     5.5     5.5 1
-1881 11 23     4.8     4.6     4.6 1
-1881 11 24     3.8     3.6     3.6 1
-1881 11 25     5.0     4.8     4.8 1
-1881 11 26     5.3     5.1     5.1 1
-1881 11 27     5.7     5.5     5.5 1
-1881 11 28     5.8     5.6     5.6 1
-1881 11 29     7.1     6.9     6.9 1
-1881 11 30     2.2     2.0     2.0 1
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-1881 12  2     1.6     1.4     1.4 1
-1881 12  3     1.7     1.5     1.5 1
-1881 12  4     1.0     0.8     0.8 1
-1881 12  5     2.6     2.4     2.4 1
-1881 12  6     1.2     1.0     1.0 1
-1881 12  7     2.0     1.8     1.8 1
-1881 12  8     2.4     2.2     2.2 1
-1881 12  9     0.8     0.6     0.6 1
-1881 12 10     1.5     1.3     1.3 1
-1881 12 11     0.7     0.5     0.5 1
-1881 12 12    -1.3    -1.5    -1.5 1
-1881 12 13    -1.3    -1.5    -1.5 1
-1881 12 14     0.4     0.2     0.2 1
-1881 12 15     0.1    -0.1    -0.1 1
-1881 12 16     0.6     0.4     0.4 1
-1881 12 17     0.9     0.7     0.7 1
-1881 12 18     1.2     1.0     1.0 1
-1881 12 19     2.6     2.4     2.4 1
-1881 12 20     1.5     1.3     1.3 1
-1881 12 21     0.2     0.0     0.0 1
-1881 12 22    -1.0    -1.2    -1.2 1
-1881 12 23    -6.4    -6.6    -6.6 1
-1881 12 24    -5.4    -5.6    -5.6 1
-1881 12 25    -3.8    -4.0    -4.0 1
-1881 12 26     4.9     4.7     4.7 1
-1881 12 27     6.6     6.3     6.3 1
-1881 12 28     2.1     1.8     1.8 1
-1881 12 29     2.3     2.0     2.0 1
-1881 12 30     3.8     3.5     3.5 1
-1881 12 31     3.3     3.0     3.0 1
-1882  1  1     0.4     0.1     0.1 1
-1882  1  2     2.3     2.0     2.0 1
-1882  1  3     4.7     4.4     4.4 1
-1882  1  4     0.8     0.5     0.5 1
-1882  1  5    -1.1    -1.4    -1.4 1
-1882  1  6     1.7     1.4     1.4 1
-1882  1  7     4.0     3.7     3.7 1
-1882  1  8    -1.0    -1.3    -1.3 1
-1882  1  9     2.0     1.7     1.7 1
-1882  1 10     1.0     0.7     0.7 1
-1882  1 11     1.9     1.5     1.5 1
-1882  1 12    -4.0    -4.4    -4.4 1
-1882  1 13    -1.7    -2.1    -2.1 1
-1882  1 14    -0.4    -0.8    -0.8 1
-1882  1 15    -3.5    -3.9    -3.9 1
-1882  1 16     0.7     0.3     0.3 1
-1882  1 17     2.1     1.7     1.7 1
-1882  1 18     2.0     1.6     1.6 1
-1882  1 19     3.1     2.7     2.7 1
-1882  1 20     3.3     2.9     2.9 1
-1882  1 21     2.8     2.4     2.4 1
-1882  1 22     0.8     0.4     0.4 1
-1882  1 23     2.0     1.6     1.6 1
-1882  1 24     3.1     2.7     2.7 1
-1882  1 25     6.4     6.0     6.0 1
-1882  1 26     4.7     4.3     4.3 1
-1882  1 27     1.7     1.3     1.3 1
-1882  1 28     3.8     3.4     3.4 1
-1882  1 29    -0.2    -0.6    -0.6 1
-1882  1 30    -1.5    -1.9    -1.9 1
-1882  1 31    -3.9    -4.2    -4.2 1
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-1882  2  2    -0.5    -0.8    -0.8 1
-1882  2  3     1.6     1.3     1.3 1
-1882  2  4     2.7     2.4     2.4 1
-1882  2  5    -0.2    -0.5    -0.5 1
-1882  2  6    -2.3    -2.6    -2.6 1
-1882  2  7    -7.3    -7.6    -7.6 1
-1882  2  8    -8.5    -8.8    -8.8 1
-1882  2  9    -1.0    -1.3    -1.3 1
-1882  2 10     1.0     0.7     0.7 1
-1882  2 11     2.6     2.3     2.3 1
-1882  2 12     0.0    -0.3    -0.3 1
-1882  2 13     4.3     4.0     4.0 1
-1882  2 14     4.9     4.6     4.6 1
-1882  2 15     0.4     0.1     0.1 1
-1882  2 16    -5.5    -5.8    -5.8 1
-1882  2 17    -5.1    -5.4    -5.4 1
-1882  2 18    -3.0    -3.3    -3.3 1
-1882  2 19    -0.9    -1.2    -1.2 1
-1882  2 20    -1.1    -1.4    -1.4 1
-1882  2 21    -5.4    -5.7    -5.7 1
-1882  2 22    -0.8    -1.1    -1.1 1
-1882  2 23     0.4     0.1     0.1 1
-1882  2 24     0.1    -0.2    -0.2 1
-1882  2 25     3.8     3.5     3.5 1
-1882  2 26     6.9     6.6     6.6 1
-1882  2 27    -3.6    -3.9    -3.9 1
-1882  2 28    -9.5    -9.8    -9.8 1
-1882  3  1   -11.1   -11.4   -11.4 1
-1882  3  2    -7.6    -7.9    -7.9 1
-1882  3  3    -7.3    -7.6    -7.6 1
-1882  3  4    -3.1    -3.4    -3.4 1
-1882  3  5     2.1     1.8     1.8 1
-1882  3  6     2.0     1.7     1.7 1
-1882  3  7    -5.9    -6.2    -6.2 1
-1882  3  8     1.1     0.8     0.8 1
-1882  3  9     4.3     4.0     4.0 1
-1882  3 10     5.6     5.3     5.3 1
-1882  3 11     3.4     3.1     3.1 1
-1882  3 12     3.6     3.3     3.3 1
-1882  3 13     5.5     5.2     5.2 1
-1882  3 14     6.2     5.9     5.9 1
-1882  3 15     4.8     4.5     4.5 1
-1882  3 16     8.2     7.9     7.9 1
-1882  3 17     0.0    -0.3    -0.3 1
-1882  3 18    -0.9    -1.2    -1.2 1
-1882  3 19     3.2     2.9     2.9 1
-1882  3 20     4.8     4.5     4.5 1
-1882  3 21     6.0     5.7     5.7 1
-1882  3 22     4.0     3.7     3.7 1
-1882  3 23     1.8     1.5     1.5 1
-1882  3 24     2.3     2.0     2.0 1
-1882  3 25     2.6     2.3     2.3 1
-1882  3 26     3.3     3.0     3.0 1
-1882  3 27     2.1     1.8     1.8 1
-1882  3 28     3.0     2.7     2.7 1
-1882  3 29     2.0     1.7     1.7 1
-1882  3 30     0.4     0.1     0.1 1
-1882  3 31     1.3     1.0     1.0 1
-1882  4  1     0.2    -0.1    -0.1 1
-1882  4  2     1.7     1.4     1.4 1
-1882  4  3     0.7     0.4     0.4 1
-1882  4  4     1.3     1.0     1.0 1
-1882  4  5     1.9     1.6     1.6 1
-1882  4  6     3.4     3.1     3.1 1
-1882  4  7     4.4     4.1     4.1 1
-1882  4  8     4.1     3.8     3.8 1
-1882  4  9     3.9     3.6     3.6 1
-1882  4 10     5.3     5.0     5.0 1
-1882  4 11     0.2    -0.1    -0.1 1
-1882  4 12    -3.1    -3.4    -3.4 1
-1882  4 13    -1.6    -1.9    -1.9 1
-1882  4 14     0.2    -0.1    -0.1 1
-1882  4 15     2.4     2.1     2.1 1
-1882  4 16     0.4     0.1     0.1 1
-1882  4 17     0.7     0.4     0.4 1
-1882  4 18     0.7     0.3     0.3 1
-1882  4 19     1.8     1.4     1.4 1
-1882  4 20     6.5     6.1     6.1 1
-1882  4 21     9.1     8.7     8.7 1
-1882  4 22     6.8     6.4     6.4 1
-1882  4 23     5.6     5.2     5.2 1
-1882  4 24    11.6    11.2    11.2 1
-1882  4 25     8.8     8.4     8.4 1
-1882  4 26     8.4     8.0     8.0 1
-1882  4 27     8.9     8.5     8.5 1
-1882  4 28     5.7     5.3     5.3 1
-1882  4 29     9.6     9.2     9.2 1
-1882  4 30     8.8     8.4     8.4 1
-1882  5  1     8.8     8.4     8.4 1
-1882  5  2     7.0     6.5     6.5 1
-1882  5  3     9.7     9.2     9.2 1
-1882  5  4    10.2     9.7     9.7 1
-1882  5  5     9.7     9.2     9.2 1
-1882  5  6    10.9    10.4    10.4 1
-1882  5  7     6.6     6.1     6.1 1
-1882  5  8     4.4     3.9     3.9 1
-1882  5  9     4.7     4.2     4.2 1
-1882  5 10     5.1     4.6     4.6 1
-1882  5 11     7.2     6.7     6.7 1
-1882  5 12     6.4     5.9     5.9 1
-1882  5 13     4.2     3.7     3.7 1
-1882  5 14     3.5     3.0     3.0 1
-1882  5 15     5.2     4.7     4.7 1
-1882  5 16     5.0     4.5     4.5 1
-1882  5 17     7.5     7.0     7.0 1
-1882  5 18     6.3     5.8     5.8 1
-1882  5 19    10.0     9.5     9.5 1
-1882  5 20    11.2    10.7    10.7 1
-1882  5 21    13.2    12.7    12.7 1
-1882  5 22    14.4    13.9    13.9 1
-1882  5 23    14.9    14.4    14.4 1
-1882  5 24    15.0    14.5    14.5 1
-1882  5 25    15.2    14.7    14.7 1
-1882  5 26    14.2    13.7    13.7 1
-1882  5 27    16.4    15.9    15.9 1
-1882  5 28    16.9    16.4    16.4 1
-1882  5 29    17.2    16.7    16.7 1
-1882  5 30    13.6    13.1    13.1 1
-1882  5 31    11.8    11.3    11.3 1
-1882  6  1    11.9    11.5    11.5 1
-1882  6  2    12.8    12.4    12.4 1
-1882  6  3    14.4    14.0    14.0 1
-1882  6  4    16.2    15.8    15.8 1
-1882  6  5    14.6    14.2    14.2 1
-1882  6  6    16.7    16.3    16.3 1
-1882  6  7    16.8    16.4    16.4 1
-1882  6  8    14.4    14.0    14.0 1
-1882  6  9    13.7    13.3    13.3 1
-1882  6 10    11.3    10.9    10.9 1
-1882  6 11    12.7    12.3    12.3 1
-1882  6 12    11.3    10.9    10.9 1
-1882  6 13    10.4    10.0    10.0 1
-1882  6 14     9.1     8.7     8.7 1
-1882  6 15    12.3    11.9    11.9 1
-1882  6 16    12.8    12.4    12.4 1
-1882  6 17    10.9    10.5    10.5 1
-1882  6 18    13.1    12.7    12.7 1
-1882  6 19    12.6    12.2    12.2 1
-1882  6 20    15.9    15.5    15.5 1
-1882  6 21    16.7    16.3    16.3 1
-1882  6 22    15.7    15.3    15.3 1
-1882  6 23    16.3    15.9    15.9 1
-1882  6 24    17.3    16.9    16.9 1
-1882  6 25    18.3    17.9    17.9 1
-1882  6 26    20.3    19.9    19.9 1
-1882  6 27    22.2    21.8    21.8 1
-1882  6 28    16.0    15.6    15.6 1
-1882  6 29    10.6    10.2    10.2 1
-1882  6 30    12.7    12.3    12.3 1
-1882  7  1    15.9    15.5    15.5 1
-1882  7  2    17.2    16.8    16.8 1
-1882  7  3    20.3    19.9    19.9 1
-1882  7  4    13.7    13.3    13.3 1
-1882  7  5    14.1    13.7    13.7 1
-1882  7  6    13.9    13.5    13.5 1
-1882  7  7    13.5    13.1    13.1 1
-1882  7  8    15.1    14.7    14.7 1
-1882  7  9    16.0    15.6    15.6 1
-1882  7 10    13.0    12.6    12.6 1
-1882  7 11    12.4    12.0    12.0 1
-1882  7 12    16.2    15.8    15.8 1
-1882  7 13    17.1    16.7    16.7 1
-1882  7 14    16.7    16.3    16.3 1
-1882  7 15    17.6    17.2    17.2 1
-1882  7 16    19.5    19.1    19.1 1
-1882  7 17    21.5    21.1    21.1 1
-1882  7 18    21.0    20.6    20.6 1
-1882  7 19    19.8    19.4    19.4 1
-1882  7 20    16.4    16.0    16.0 1
-1882  7 21    17.2    16.8    16.8 1
-1882  7 22    18.0    17.6    17.6 1
-1882  7 23    16.8    16.4    16.4 1
-1882  7 24    19.5    19.1    19.1 1
-1882  7 25    16.3    15.9    15.9 1
-1882  7 26    18.1    17.7    17.7 1
-1882  7 27    15.9    15.5    15.5 1
-1882  7 28    16.8    16.4    16.4 1
-1882  7 29    18.5    18.1    18.1 1
-1882  7 30    19.5    19.1    19.1 1
-1882  7 31    20.3    19.9    19.9 1
-1882  8  1    16.7    16.3    16.3 1
-1882  8  2    16.6    16.2    16.2 1
-1882  8  3    16.2    15.8    15.8 1
-1882  8  4    13.7    13.3    13.3 1
-1882  8  5    14.5    14.1    14.1 1
-1882  8  6    15.3    14.9    14.9 1
-1882  8  7    15.4    15.0    15.0 1
-1882  8  8    19.3    18.9    18.9 1
-1882  8  9    17.3    16.9    16.9 1
-1882  8 10    19.1    18.7    18.7 1
-1882  8 11    19.8    19.4    19.4 1
-1882  8 12    20.4    20.0    20.0 1
-1882  8 13    20.2    19.8    19.8 1
-1882  8 14    19.9    19.5    19.5 1
-1882  8 15    20.6    20.2    20.2 1
-1882  8 16    21.5    21.1    21.1 1
-1882  8 17    20.8    20.4    20.4 1
-1882  8 18    22.0    21.7    21.7 1
-1882  8 19    21.8    21.5    21.5 1
-1882  8 20    20.6    20.3    20.3 1
-1882  8 21    19.8    19.5    19.5 1
-1882  8 22    16.7    16.4    16.4 1
-1882  8 23    15.7    15.4    15.4 1
-1882  8 24    15.7    15.4    15.4 1
-1882  8 25    14.6    14.3    14.3 1
-1882  8 26    16.0    15.7    15.7 1
-1882  8 27    15.2    14.9    14.9 1
-1882  8 28    15.4    15.1    15.1 1
-1882  8 29    14.4    14.1    14.1 1
-1882  8 30    12.7    12.4    12.4 1
-1882  8 31    11.3    11.0    11.0 1
-1882  9  1    10.3    10.0    10.0 1
-1882  9  2    14.5    14.2    14.2 1
-1882  9  3    16.6    16.3    16.3 1
-1882  9  4    15.9    15.6    15.6 1
-1882  9  5    15.5    15.2    15.2 1
-1882  9  6    14.8    14.6    14.6 1
-1882  9  7    12.9    12.7    12.7 1
-1882  9  8    12.6    12.4    12.4 1
-1882  9  9    12.0    11.8    11.8 1
-1882  9 10    11.3    11.1    11.1 1
-1882  9 11    15.5    15.3    15.3 1
-1882  9 12    15.6    15.4    15.4 1
-1882  9 13    15.8    15.6    15.6 1
-1882  9 14    16.8    16.6    16.6 1
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-1882  9 16    16.5    16.3    16.3 1
-1882  9 17    16.5    16.3    16.3 1
-1882  9 18    15.7    15.5    15.5 1
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-1882  9 20     9.6     9.4     9.4 1
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-1882  9 25     7.7     7.5     7.5 1
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-1882  9 29    12.5    12.3    12.3 1
-1882  9 30    12.5    12.3    12.3 1
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-1882 10 17     2.5     2.4     2.4 1
-1882 10 18     4.2     4.1     4.1 1
-1882 10 19     5.3     5.2     5.2 1
-1882 10 20     7.7     7.6     7.6 1
-1882 10 21     7.0     6.9     6.9 1
-1882 10 22     6.0     5.9     5.9 1
-1882 10 23     5.6     5.5     5.5 1
-1882 10 24     6.0     5.8     5.8 1
-1882 10 25     7.4     7.2     7.2 1
-1882 10 26     7.3     7.1     7.1 1
-1882 10 27     4.2     4.0     4.0 1
-1882 10 28     5.6     5.4     5.4 1
-1882 10 29     8.2     8.0     8.0 1
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-1882 10 31     6.0     5.8     5.8 1
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-1882 12 23     1.4     1.1     1.1 1
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-1883  1  6   -11.5   -11.8   -11.8 1
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-1883  1 14    -5.1    -5.5    -5.5 1
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-1883  1 17    -0.8    -1.2    -1.2 1
-1883  1 18    -0.8    -1.2    -1.2 1
-1883  1 19     1.0     0.6     0.6 1
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-1883  1 22    -2.5    -2.9    -2.9 1
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-1883  1 25    -2.6    -3.0    -3.0 1
-1883  1 26    -1.2    -1.6    -1.6 1
-1883  1 27     0.8     0.4     0.4 1
-1883  1 28     0.5     0.1     0.1 1
-1883  1 29     0.9     0.5     0.5 1
-1883  1 30     1.0     0.6     0.6 1
-1883  1 31     1.3     0.9     0.9 1
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-1883  2 20    -3.5    -3.9    -3.9 1
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-1883  2 24     0.4     0.0     0.0 1
-1883  2 25     2.4     2.0     2.0 1
-1883  2 26    -1.2    -1.6    -1.6 1
-1883  2 27     2.5     2.1     2.1 1
-1883  2 28     0.8     0.4     0.4 1
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-1883  3  3     1.7     1.3     1.3 1
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-1883  3  8    -5.6    -6.0    -6.0 1
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-1883  3 13    -7.1    -7.5    -7.5 1
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-1883  3 18    -4.2    -4.6    -4.6 1
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-1883  3 20    -4.6    -5.0    -5.0 1
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-1883  3 27    -3.8    -4.2    -4.2 1
-1883  3 28    -3.2    -3.6    -3.6 1
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-1883  5 11     9.9     9.3     9.3 1
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-1883  6 11    14.0    13.6    13.6 1
-1883  6 12    15.2    14.8    14.8 1
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-1883  6 17    15.9    15.5    15.5 1
-1883  6 18    14.9    14.5    14.5 1
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-1883  6 28    17.9    17.5    17.5 1
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-1883  7 28    14.2    13.8    13.8 1
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-1883  7 30    15.3    14.9    14.9 1
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-1883  8  9    15.1    14.7    14.7 1
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-1883  8 16    15.1    14.7    14.7 1
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-1883  8 25    13.3    13.0    13.0 1
-1883  8 26    15.1    14.8    14.8 1
-1883  8 27    16.7    16.4    16.4 1
-1883  8 28    14.7    14.4    14.4 1
-1883  8 29    12.3    12.0    12.0 1
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-1883  8 31    13.7    13.4    13.4 1
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-1883  9  4    14.7    14.4    14.4 1
-1883  9  5    15.2    14.9    14.9 1
-1883  9  6    13.4    13.1    13.1 1
-1883  9  7    13.2    12.9    12.9 1
-1883  9  8    12.1    11.8    11.8 1
-1883  9  9    12.8    12.5    12.5 1
-1883  9 10    13.9    13.7    13.7 1
-1883  9 11    14.9    14.7    14.7 1
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-1883  9 13    13.7    13.5    13.5 1
-1883  9 14    15.8    15.6    15.6 1
-1883  9 15    15.4    15.2    15.2 1
-1883  9 16    14.8    14.6    14.6 1
-1883  9 17    14.2    14.0    14.0 1
-1883  9 18    13.4    13.2    13.2 1
-1883  9 19    10.3    10.1    10.1 1
-1883  9 20     7.0     6.8     6.8 1
-1883  9 21     3.5     3.3     3.3 1
-1883  9 22     7.2     7.0     7.0 1
-1883  9 23     7.7     7.5     7.5 1
-1883  9 24     6.4     6.2     6.2 1
-1883  9 25     7.8     7.6     7.6 1
-1883  9 26     8.7     8.5     8.5 1
-1883  9 27     7.8     7.6     7.6 1
-1883  9 28    10.6    10.4    10.4 1
-1883  9 29    11.8    11.6    11.6 1
-1883  9 30     9.6     9.4     9.4 1
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-1883 10 10     7.4     7.3     7.3 1
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-1883 10 12     6.0     5.9     5.9 1
-1883 10 13     2.7     2.6     2.6 1
-1883 10 14     5.6     5.5     5.5 1
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-1883 10 18     7.6     7.5     7.5 1
-1883 10 19     6.5     6.4     6.4 1
-1883 10 20     4.9     4.7     4.7 1
-1883 10 21     4.7     4.5     4.5 1
-1883 10 22     3.5     3.3     3.3 1
-1883 10 23     4.6     4.4     4.4 1
-1883 10 24     7.0     6.8     6.8 1
-1883 10 25     6.6     6.4     6.4 1
-1883 10 26     8.2     8.0     8.0 1
-1883 10 27     6.8     6.6     6.6 1
-1883 10 28     6.2     6.0     6.0 1
-1883 10 29     3.7     3.5     3.5 1
-1883 10 30     2.9     2.7     2.7 1
-1883 10 31     5.1     4.9     4.9 1
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-1883 11  3     5.5     5.3     5.3 1
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-1883 11  6     4.8     4.6     4.6 1
-1883 11  7     4.5     4.3     4.3 1
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-1883 11 11     3.8     3.6     3.6 1
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-1883 11 16     4.1     3.9     3.9 1
-1883 11 17     1.7     1.5     1.5 1
-1883 11 18     1.1     0.9     0.9 1
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-1883 11 20     3.8     3.6     3.6 1
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-1883 11 23     3.2     3.0     3.0 1
-1883 11 24     1.9     1.7     1.7 1
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-1883 11 26     5.0     4.8     4.8 1
-1883 11 27     4.9     4.7     4.7 1
-1883 11 28     4.4     4.2     4.2 1
-1883 11 29     8.3     8.1     8.1 1
-1883 11 30     7.0     6.8     6.8 1
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-1883 12 31    -1.1    -1.4    -1.4 1
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-1884  1  7    -3.3    -3.7    -3.7 1
-1884  1  8   -11.6   -12.0   -12.0 1
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-1884  1 14    -1.4    -1.8    -1.8 1
-1884  1 15    -1.7    -2.1    -2.1 1
-1884  1 16     1.6     1.2     1.2 1
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-1884  1 18    -1.0    -1.4    -1.4 1
-1884  1 19     1.5     1.1     1.1 1
-1884  1 20     1.6     1.2     1.2 1
-1884  1 21     2.0     1.6     1.6 1
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-1884  1 25    -0.4    -0.8    -0.8 1
-1884  1 26     1.7     1.3     1.3 1
-1884  1 27     1.9     1.5     1.5 1
-1884  1 28     1.7     1.3     1.3 1
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-1884  1 30    -0.2    -0.6    -0.6 1
-1884  1 31    -3.3    -3.7    -3.7 1
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-1884  2  4     4.2     3.8     3.8 1
-1884  2  5     3.7     3.3     3.3 1
-1884  2  6     1.9     1.5     1.5 1
-1884  2  7     2.9     2.5     2.5 1
-1884  2  8    -1.1    -1.5    -1.5 1
-1884  2  9     0.8     0.4     0.4 1
-1884  2 10     2.7     2.3     2.3 1
-1884  2 11     3.1     2.7     2.7 1
-1884  2 12     2.0     1.6     1.6 1
-1884  2 13     2.2     1.8     1.8 1
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-1884  2 17    -0.9    -1.3    -1.3 1
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-1884  2 20    -5.5    -5.9    -5.9 1
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-1884  2 23    -0.3    -0.7    -0.7 1
-1884  2 24     1.3     0.9     0.9 1
-1884  2 25    -2.1    -2.5    -2.5 1
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-1884  2 27    -7.7    -8.1    -8.1 1
-1884  2 28    -4.7    -5.1    -5.1 1
-1884  2 29    -2.6    -3.0    -3.0 1
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-1884  3  3    -0.1    -0.5    -0.5 1
-1884  3  4     0.1    -0.3    -0.3 1
-1884  3  5     0.1    -0.3    -0.3 1
-1884  3  6    -0.8    -1.2    -1.2 1
-1884  3  7    -0.7    -1.1    -1.1 1
-1884  3  8    -1.6    -2.0    -2.0 1
-1884  3  9    -1.6    -2.0    -2.0 1
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-1884  3 13    -0.1    -0.5    -0.5 1
-1884  3 14     0.2    -0.2    -0.2 1
-1884  3 15     2.1     1.7     1.7 1
-1884  3 16     3.9     3.5     3.5 1
-1884  3 17     5.1     4.7     4.7 1
-1884  3 18     4.6     4.2     4.2 1
-1884  3 19     5.0     4.6     4.6 1
-1884  3 20     4.0     3.6     3.6 1
-1884  3 21     2.7     2.3     2.3 1
-1884  3 22     2.5     2.1     2.1 1
-1884  3 23     2.2     1.8     1.8 1
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-1884  3 25    -1.8    -2.2    -2.2 1
-1884  3 26    -1.5    -1.9    -1.9 1
-1884  3 27     0.8     0.4     0.4 1
-1884  3 28     1.4     1.0     1.0 1
-1884  3 29     2.1     1.7     1.7 1
-1884  3 30     1.0     0.6     0.6 1
-1884  3 31     1.1     0.7     0.7 1
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-1884  4  9     3.9     3.5     3.5 1
-1884  4 10     3.5     3.1     3.1 1
-1884  4 11     4.3     3.9     3.9 1
-1884  4 12     4.7     4.3     4.3 1
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-1884  4 29     7.3     6.8     6.8 1
-1884  4 30     4.9     4.4     4.4 1
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-1884  5  4     4.0     3.5     3.5 1
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-1884  5  8     7.1     6.5     6.5 1
-1884  5  9     8.7     8.1     8.1 1
-1884  5 10     7.3     6.7     6.7 1
-1884  5 11     6.1     5.5     5.5 1
-1884  5 12     9.1     8.5     8.5 1
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-1884  5 16     9.0     8.4     8.4 1
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-1884  5 26     7.5     6.9     6.9 1
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-1884  7  4    20.9    20.5    20.5 1
-1884  7  5    20.3    19.9    19.9 1
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-1884  7  7    17.7    17.3    17.3 1
-1884  7  8    17.4    17.0    17.0 1
-1884  7  9    18.9    18.5    18.5 1
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-1884  7 13    19.8    19.4    19.4 1
-1884  7 14    19.1    18.7    18.7 1
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-1884  8  8    15.9    15.5    15.5 1
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-1884  8 25    15.2    14.8    14.8 1
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-1884  8 28    13.4    13.1    13.1 1
-1884  8 29    13.3    13.0    13.0 1
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-1884  8 31    11.5    11.2    11.2 1
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-1884  9  4    15.5    15.2    15.2 1
-1884  9  5    16.4    16.1    16.1 1
-1884  9  6    16.5    16.2    16.2 1
-1884  9  7    14.3    14.0    14.0 1
-1884  9  8    15.9    15.6    15.6 1
-1884  9  9    16.0    15.7    15.7 1
-1884  9 10    14.2    13.9    13.9 1
-1884  9 11    15.8    15.5    15.5 1
-1884  9 12    15.5    15.3    15.3 1
-1884  9 13    15.7    15.5    15.5 1
-1884  9 14    13.6    13.4    13.4 1
-1884  9 15    14.5    14.3    14.3 1
-1884  9 16    13.0    12.8    12.8 1
-1884  9 17    15.0    14.8    14.8 1
-1884  9 18    13.6    13.4    13.4 1
-1884  9 19    13.2    13.0    13.0 1
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-1884  9 23    14.2    14.0    14.0 1
-1884  9 24    10.8    10.6    10.6 1
-1884  9 25    11.3    11.1    11.1 1
-1884  9 26    10.8    10.6    10.6 1
-1884  9 27    13.3    13.1    13.1 1
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-1884  9 30    13.5    13.3    13.3 1
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-1884 10 24     6.9     6.7     6.7 1
-1884 10 25     7.1     6.9     6.9 1
-1884 10 26     6.8     6.6     6.6 1
-1884 10 27     6.3     6.1     6.1 1
-1884 10 28     6.5     6.3     6.3 1
-1884 10 29     2.2     2.0     2.0 1
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-1884 10 31     8.8     8.6     8.6 1
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-1884 11  8     7.6     7.4     7.4 1
-1884 11  9     9.3     9.1     9.1 1
-1884 11 10     7.1     6.9     6.9 1
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-1884 11 27   -10.0   -10.2   -10.2 1
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-1884 12 28    -4.6    -4.9    -4.9 1
-1884 12 29    -1.1    -1.4    -1.4 1
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-1885  1  7    -3.0    -3.4    -3.4 1
-1885  1  8    -7.2    -7.6    -7.6 1
-1885  1  9    -2.0    -2.4    -2.4 1
-1885  1 10    -1.7    -2.1    -2.1 1
-1885  1 11     0.3    -0.1    -0.1 1
-1885  1 12    -3.8    -4.2    -4.2 1
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-1885  1 14    -3.0    -3.4    -3.4 1
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-1885  1 16    -1.8    -2.2    -2.2 1
-1885  1 17    -5.1    -5.5    -5.5 1
-1885  1 18    -6.5    -6.9    -6.9 1
-1885  1 19    -5.5    -5.9    -5.9 1
-1885  1 20    -6.9    -7.3    -7.3 1
-1885  1 21    -8.4    -8.8    -8.8 1
-1885  1 22   -10.9   -11.3   -11.3 1
-1885  1 23   -11.9   -12.3   -12.3 1
-1885  1 24   -11.3   -11.7   -11.7 1
-1885  1 25    -8.2    -8.6    -8.6 1
-1885  1 26    -3.4    -3.8    -3.8 1
-1885  1 27    -3.7    -4.1    -4.1 1
-1885  1 28    -1.4    -1.8    -1.8 1
-1885  1 29    -2.0    -2.4    -2.4 1
-1885  1 30    -1.6    -2.0    -2.0 1
-1885  1 31     2.3     1.9     1.9 1
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-1885  2  2     2.7     2.3     2.3 1
-1885  2  3     2.7     2.3     2.3 1
-1885  2  4     1.6     1.2     1.2 1
-1885  2  5     1.3     0.9     0.9 1
-1885  2  6     1.7     1.3     1.3 1
-1885  2  7     1.2     0.8     0.8 1
-1885  2  8     1.6     1.2     1.2 1
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-1885  2 11    -3.5    -3.9    -3.9 1
-1885  2 12    -2.7    -3.1    -3.1 1
-1885  2 13     0.1    -0.3    -0.3 1
-1885  2 14     3.1     2.7     2.7 1
-1885  2 15     0.2    -0.2    -0.2 1
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-1885  2 19   -10.5   -10.9   -10.9 1
-1885  2 20   -10.7   -11.1   -11.1 1
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-1885  2 23    -1.9    -2.3    -2.3 1
-1885  2 24     2.0     1.6     1.6 1
-1885  2 25     3.9     3.5     3.5 1
-1885  2 26     2.0     1.6     1.6 1
-1885  2 27     1.7     1.3     1.3 1
-1885  2 28     1.7     1.3     1.3 1
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-1885  3  5    -0.9    -1.3    -1.3 1
-1885  3  6    -2.0    -2.4    -2.4 1
-1885  3  7    -4.0    -4.4    -4.4 1
-1885  3  8    -2.9    -3.3    -3.3 1
-1885  3  9    -3.7    -4.1    -4.1 1
-1885  3 10    -3.8    -4.2    -4.2 1
-1885  3 11    -1.7    -2.1    -2.1 1
-1885  3 12    -3.1    -3.5    -3.5 1
-1885  3 13     0.3    -0.1    -0.1 1
-1885  3 14     4.2     3.8     3.8 1
-1885  3 15     2.5     2.1     2.1 1
-1885  3 16     2.3     1.9     1.9 1
-1885  3 17     1.5     1.1     1.1 1
-1885  3 18     2.8     2.4     2.4 1
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-1885  3 21    -4.4    -4.8    -4.8 1
-1885  3 22    -2.8    -3.2    -3.2 1
-1885  3 23    -3.6    -4.0    -4.0 1
-1885  3 24    -0.7    -1.1    -1.1 1
-1885  3 25     1.1     0.7     0.7 1
-1885  3 26     1.9     1.5     1.5 1
-1885  3 27     1.7     1.3     1.3 1
-1885  3 28     2.4     2.0     2.0 1
-1885  3 29     1.8     1.4     1.4 1
-1885  3 30     2.1     1.7     1.7 1
-1885  3 31     2.3     1.9     1.9 1
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-1885  4  6    -1.4    -1.8    -1.8 1
-1885  4  7     1.7     1.3     1.3 1
-1885  4  8     4.9     4.5     4.5 1
-1885  4  9     4.3     3.9     3.9 1
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-1885  4 18     2.8     2.4     2.4 1
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-1885  4 22     8.9     8.4     8.4 1
-1885  4 23    12.6    12.1    12.1 1
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-1885  4 26     9.0     8.5     8.5 1
-1885  4 27     9.8     9.3     9.3 1
-1885  4 28     6.7     6.2     6.2 1
-1885  4 29     3.7     3.2     3.2 1
-1885  4 30     3.6     3.1     3.1 1
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-1885  5  8     5.2     4.6     4.6 1
-1885  5  9     7.0     6.4     6.4 1
-1885  5 10     7.1     6.5     6.5 1
-1885  5 11     5.9     5.3     5.3 1
-1885  5 12     4.1     3.5     3.5 1
-1885  5 13     4.0     3.4     3.4 1
-1885  5 14     5.5     4.8     4.8 1
-1885  5 15     5.4     4.7     4.7 1
-1885  5 16     5.5     4.8     4.8 1
-1885  5 17     3.4     2.8     2.8 1
-1885  5 18     4.2     3.6     3.6 1
-1885  5 19     8.7     8.1     8.1 1
-1885  5 20     5.3     4.7     4.7 1
-1885  5 21     6.3     5.7     5.7 1
-1885  5 22     7.0     6.4     6.4 1
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-1885  5 25     9.8     9.2     9.2 1
-1885  5 26    10.6    10.0    10.0 1
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-1885  5 28    13.9    13.3    13.3 1
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-1885  5 30    15.2    14.6    14.6 1
-1885  5 31    11.1    10.6    10.6 1
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-1885  6  7    11.4    10.9    10.9 1
-1885  6  8    10.5    10.0    10.0 1
-1885  6  9    10.4     9.9     9.9 1
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-1885  6 12    10.0     9.5     9.5 1
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-1885  6 21    14.1    13.7    13.7 1
-1885  6 22    13.2    12.8    12.8 1
-1885  6 23    15.0    14.6    14.6 1
-1885  6 24    16.6    16.2    16.2 1
-1885  6 25    18.4    17.9    17.9 1
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-1885  6 27    12.8    12.3    12.3 1
-1885  6 28    16.6    16.1    16.1 1
-1885  6 29    16.1    15.6    15.6 1
-1885  6 30    16.1    15.6    15.6 1
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-1885  7  5    19.1    18.6    18.6 1
-1885  7  6    20.5    20.0    20.0 1
-1885  7  7    18.1    17.6    17.6 1
-1885  7  8    21.4    20.9    20.9 1
-1885  7  9    20.4    19.9    19.9 1
-1885  7 10    18.7    18.2    18.2 1
-1885  7 11    20.8    20.3    20.3 1
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-1885  7 13    22.0    21.5    21.5 1
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-1885  7 15    18.4    17.9    17.9 1
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-1885  7 17    17.6    17.1    17.1 1
-1885  7 18    15.7    15.2    15.2 1
-1885  7 19    17.4    16.9    16.9 1
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-1885  7 25    11.3    10.8    10.8 1
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-1885  7 27    14.7    14.2    14.2 1
-1885  7 28    14.4    13.9    13.9 1
-1885  7 29    13.6    13.1    13.1 1
-1885  7 30    13.6    13.1    13.1 1
-1885  7 31    12.3    11.8    11.8 1
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-1885  8  7    13.6    13.2    13.2 1
-1885  8  8    14.7    14.3    14.3 1
-1885  8  9    14.9    14.5    14.5 1
-1885  8 10    15.2    14.8    14.8 1
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-1885  8 12    17.0    16.6    16.6 1
-1885  8 13    17.1    16.7    16.7 1
-1885  8 14    12.3    11.9    11.9 1
-1885  8 15     8.9     8.5     8.5 1
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-1885  8 17    12.0    11.6    11.6 1
-1885  8 18    12.7    12.3    12.3 1
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-1885  8 20    15.0    14.6    14.6 1
-1885  8 21    14.8    14.4    14.4 1
-1885  8 22    13.6    13.2    13.2 1
-1885  8 23    13.6    13.2    13.2 1
-1885  8 24    14.1    13.7    13.7 1
-1885  8 25    11.9    11.5    11.5 1
-1885  8 26     7.8     7.4     7.4 1
-1885  8 27     8.1     7.7     7.7 1
-1885  8 28     8.1     7.7     7.7 1
-1885  8 29     9.6     9.2     9.2 1
-1885  8 30     9.4     9.1     9.1 1
-1885  8 31     9.4     9.1     9.1 1
-1885  9  1     9.4     9.1     9.1 1
-1885  9  2     8.8     8.5     8.5 1
-1885  9  3     8.7     8.4     8.4 1
-1885  9  4    10.9    10.6    10.6 1
-1885  9  5    12.1    11.8    11.8 1
-1885  9  6    11.1    10.8    10.8 1
-1885  9  7    12.5    12.2    12.2 1
-1885  9  8    11.9    11.6    11.6 1
-1885  9  9    11.6    11.3    11.3 1
-1885  9 10    10.3    10.0    10.0 1
-1885  9 11     8.4     8.1     8.1 1
-1885  9 12     9.3     9.0     9.0 1
-1885  9 13    11.8    11.5    11.5 1
-1885  9 14    12.5    12.2    12.2 1
-1885  9 15    12.5    12.3    12.3 1
-1885  9 16    15.2    15.0    15.0 1
-1885  9 17    12.7    12.5    12.5 1
-1885  9 18    10.1     9.9     9.9 1
-1885  9 19     9.4     9.2     9.2 1
-1885  9 20    11.0    10.8    10.8 1
-1885  9 21    11.0    10.8    10.8 1
-1885  9 22     9.9     9.7     9.7 1
-1885  9 23    11.9    11.7    11.7 1
-1885  9 24     9.2     9.0     9.0 1
-1885  9 25     6.6     6.4     6.4 1
-1885  9 26     6.7     6.5     6.5 1
-1885  9 27     5.1     4.9     4.9 1
-1885  9 28     5.9     5.7     5.7 1
-1885  9 29     5.6     5.4     5.4 1
-1885  9 30     6.8     6.6     6.6 1
-1885 10  1     9.8     9.6     9.6 1
-1885 10  2     9.9     9.7     9.7 1
-1885 10  3    10.6    10.4    10.4 1
-1885 10  4     7.8     7.6     7.6 1
-1885 10  5     7.6     7.4     7.4 1
-1885 10  6     6.7     6.5     6.5 1
-1885 10  7     5.9     5.7     5.7 1
-1885 10  8     4.8     4.6     4.6 1
-1885 10  9     8.0     7.8     7.8 1
-1885 10 10     8.6     8.4     8.4 1
-1885 10 11     8.7     8.5     8.5 1
-1885 10 12    11.2    11.0    11.0 1
-1885 10 13     9.2     9.0     9.0 1
-1885 10 14     7.5     7.3     7.3 1
-1885 10 15     6.5     6.3     6.3 1
-1885 10 16     5.2     5.0     5.0 1
-1885 10 17     4.8     4.6     4.6 1
-1885 10 18     2.5     2.3     2.3 1
-1885 10 19     1.7     1.5     1.5 1
-1885 10 20    -0.2    -0.4    -0.4 1
-1885 10 21    -0.6    -0.8    -0.8 1
-1885 10 22    -1.5    -1.7    -1.7 1
-1885 10 23     0.8     0.6     0.6 1
-1885 10 24     0.0    -0.2    -0.2 1
-1885 10 25     2.3     2.1     2.1 1
-1885 10 26     3.7     3.5     3.5 1
-1885 10 27     5.4     5.2     5.2 1
-1885 10 28     3.3     3.1     3.1 1
-1885 10 29    -2.4    -2.6    -2.6 1
-1885 10 30    -2.2    -2.4    -2.4 1
-1885 10 31    -1.1    -1.3    -1.3 1
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-1885 11  2    -1.3    -1.5    -1.5 1
-1885 11  3     4.2     4.0     4.0 1
-1885 11  4     7.1     6.9     6.9 1
-1885 11  5     5.9     5.7     5.7 1
-1885 11  6     6.7     6.5     6.5 1
-1885 11  7     2.5     2.3     2.3 1
-1885 11  8     6.0     5.8     5.8 1
-1885 11  9     4.2     4.0     4.0 1
-1885 11 10     1.7     1.5     1.5 1
-1885 11 11    -0.8    -1.0    -1.0 1
-1885 11 12     2.0     1.7     1.7 1
-1885 11 13     2.4     2.1     2.1 1
-1885 11 14     3.4     3.1     3.1 1
-1885 11 15    -3.2    -3.5    -3.5 1
-1885 11 16    -1.6    -1.9    -1.9 1
-1885 11 17     0.1    -0.2    -0.2 1
-1885 11 18     3.6     3.3     3.3 1
-1885 11 19    -1.7    -2.0    -2.0 1
-1885 11 20    -2.9    -3.2    -3.2 1
-1885 11 21    -0.1    -0.4    -0.4 1
-1885 11 22    -2.4    -2.7    -2.7 1
-1885 11 23    -1.5    -1.8    -1.8 1
-1885 11 24    -6.0    -6.3    -6.3 1
-1885 11 25    -7.7    -8.0    -8.0 1
-1885 11 26    -4.9    -5.2    -5.2 1
-1885 11 27    -1.1    -1.4    -1.4 1
-1885 11 28     0.6     0.3     0.3 1
-1885 11 29     4.2     3.9     3.9 1
-1885 11 30     0.2    -0.1    -0.1 1
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-1885 12  4     2.0     1.7     1.7 1
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-1885 12  7    -3.7    -4.0    -4.0 1
-1885 12  8    -5.9    -6.2    -6.2 1
-1885 12  9   -10.3   -10.6   -10.6 1
-1885 12 10   -10.1   -10.4   -10.4 1
-1885 12 11    -8.2    -8.5    -8.5 1
-1885 12 12    -3.0    -3.3    -3.3 1
-1885 12 13     1.9     1.6     1.6 1
-1885 12 14     2.2     1.9     1.9 1
-1885 12 15     3.4     3.1     3.1 1
-1885 12 16     2.3     2.0     2.0 1
-1885 12 17    -0.6    -0.9    -0.9 1
-1885 12 18    -2.8    -3.1    -3.1 1
-1885 12 19     1.8     1.5     1.5 1
-1885 12 20     0.8     0.5     0.5 1
-1885 12 21     2.5     2.2     2.2 1
-1885 12 22    -2.7    -3.0    -3.0 1
-1885 12 23    -4.2    -4.5    -4.5 1
-1885 12 24     2.0     1.7     1.7 1
-1885 12 25     1.2     0.9     0.9 1
-1885 12 26    -6.5    -6.8    -6.8 1
-1885 12 27     1.6     1.3     1.3 1
-1885 12 28     5.4     5.1     5.1 1
-1885 12 29     1.4     1.1     1.1 1
-1885 12 30    -4.5    -4.8    -4.8 1
-1885 12 31    -6.1    -6.5    -6.5 1
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-1886  1  5     0.1    -0.3    -0.3 1
-1886  1  6    -7.6    -8.0    -8.0 1
-1886  1  7   -17.5   -17.9   -17.9 1
-1886  1  8    -4.5    -4.9    -4.9 1
-1886  1  9    -3.6    -4.0    -4.0 1
-1886  1 10    -5.1    -5.5    -5.5 1
-1886  1 11    -6.2    -6.7    -6.7 1
-1886  1 12    -5.6    -6.1    -6.1 1
-1886  1 13    -3.6    -4.1    -4.1 1
-1886  1 14    -2.5    -3.0    -3.0 1
-1886  1 15     0.1    -0.4    -0.4 1
-1886  1 16     1.3     0.8     0.8 1
-1886  1 17    -0.5    -1.0    -1.0 1
-1886  1 18     0.3    -0.2    -0.2 1
-1886  1 19     0.1    -0.4    -0.4 1
-1886  1 20    -1.1    -1.6    -1.6 1
-1886  1 21    -1.1    -1.6    -1.6 1
-1886  1 22    -1.8    -2.3    -2.3 1
-1886  1 23    -2.4    -2.9    -2.9 1
-1886  1 24    -1.9    -2.4    -2.4 1
-1886  1 25    -1.0    -1.5    -1.5 1
-1886  1 26    -2.1    -2.6    -2.6 1
-1886  1 27    -7.6    -8.1    -8.1 1
-1886  1 28    -6.5    -7.0    -7.0 1
-1886  1 29    -4.9    -5.4    -5.4 1
-1886  1 30    -2.9    -3.4    -3.4 1
-1886  1 31    -0.2    -0.6    -0.6 1
-1886  2  1     0.4     0.0     0.0 1
-1886  2  2     0.6     0.2     0.2 1
-1886  2  3     1.1     0.7     0.7 1
-1886  2  4    -1.4    -1.8    -1.8 1
-1886  2  5    -4.5    -4.9    -4.9 1
-1886  2  6    -6.9    -7.3    -7.3 1
-1886  2  7    -5.3    -5.7    -5.7 1
-1886  2  8    -2.2    -2.6    -2.6 1
-1886  2  9     0.2    -0.2    -0.2 1
-1886  2 10     0.3    -0.1    -0.1 1
-1886  2 11    -0.9    -1.3    -1.3 1
-1886  2 12    -1.8    -2.2    -2.2 1
-1886  2 13    -1.2    -1.6    -1.6 1
-1886  2 14    -1.7    -2.1    -2.1 1
-1886  2 15    -1.5    -1.9    -1.9 1
-1886  2 16    -2.4    -2.8    -2.8 1
-1886  2 17    -2.2    -2.6    -2.6 1
-1886  2 18    -3.4    -3.8    -3.8 1
-1886  2 19    -5.5    -5.9    -5.9 1
-1886  2 20    -3.0    -3.4    -3.4 1
-1886  2 21    -4.0    -4.4    -4.4 1
-1886  2 22    -3.7    -4.1    -4.1 1
-1886  2 23    -4.3    -4.7    -4.7 1
-1886  2 24    -6.7    -7.1    -7.1 1
-1886  2 25    -8.5    -8.9    -8.9 1
-1886  2 26    -6.8    -7.2    -7.2 1
-1886  2 27    -7.9    -8.3    -8.3 1
-1886  2 28   -10.7   -11.1   -11.1 1
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-1886  3  3    -5.3    -5.7    -5.7 1
-1886  3  4    -7.9    -8.3    -8.3 1
-1886  3  5   -11.1   -11.5   -11.5 1
-1886  3  6   -10.7   -11.1   -11.1 1
-1886  3  7    -7.7    -8.1    -8.1 1
-1886  3  8    -6.2    -6.6    -6.6 1
-1886  3  9    -2.8    -3.2    -3.2 1
-1886  3 10    -3.4    -3.8    -3.8 1
-1886  3 11    -0.8    -1.2    -1.2 1
-1886  3 12    -0.4    -0.8    -0.8 1
-1886  3 13    -2.5    -2.9    -2.9 1
-1886  3 14    -4.4    -4.8    -4.8 1
-1886  3 15    -3.3    -3.7    -3.7 1
-1886  3 16    -7.3    -7.7    -7.7 1
-1886  3 17    -8.1    -8.5    -8.5 1
-1886  3 18    -6.1    -6.5    -6.5 1
-1886  3 19    -4.4    -4.8    -4.8 1
-1886  3 20    -3.9    -4.3    -4.3 1
-1886  3 21    -1.4    -1.8    -1.8 1
-1886  3 22    -0.3    -0.7    -0.7 1
-1886  3 23     0.1    -0.3    -0.3 1
-1886  3 24     1.8     1.4     1.4 1
-1886  3 25     3.0     2.6     2.6 1
-1886  3 26     3.7     3.3     3.3 1
-1886  3 27     6.1     5.7     5.7 1
-1886  3 28     6.6     6.2     6.2 1
-1886  3 29     3.2     2.8     2.8 1
-1886  3 30     4.5     4.1     4.1 1
-1886  3 31     5.2     4.8     4.8 1
-1886  4  1     4.1     3.7     3.7 1
-1886  4  2     4.5     4.1     4.1 1
-1886  4  3     6.6     6.2     6.2 1
-1886  4  4     6.1     5.7     5.7 1
-1886  4  5     6.2     5.8     5.8 1
-1886  4  6     5.8     5.4     5.4 1
-1886  4  7     5.1     4.7     4.7 1
-1886  4  8     4.4     4.0     4.0 1
-1886  4  9     6.5     6.1     6.1 1
-1886  4 10     5.0     4.6     4.6 1
-1886  4 11     5.5     5.1     5.1 1
-1886  4 12     8.5     8.1     8.1 1
-1886  4 13     7.5     7.1     7.1 1
-1886  4 14     7.4     7.0     7.0 1
-1886  4 15     7.6     7.2     7.2 1
-1886  4 16     6.6     6.2     6.2 1
-1886  4 17     4.0     3.6     3.6 1
-1886  4 18     2.3     1.8     1.8 1
-1886  4 19     3.8     3.3     3.3 1
-1886  4 20     4.3     3.8     3.8 1
-1886  4 21     5.1     4.6     4.6 1
-1886  4 22     6.2     5.7     5.7 1
-1886  4 23     7.3     6.8     6.8 1
-1886  4 24     9.7     9.2     9.2 1
-1886  4 25     4.9     4.4     4.4 1
-1886  4 26     1.1     0.6     0.6 1
-1886  4 27     3.0     2.5     2.5 1
-1886  4 28    -0.1    -0.6    -0.6 1
-1886  4 29    -2.7    -3.3    -3.3 1
-1886  4 30     2.1     1.5     1.5 1
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-1886  5  2     2.5     1.9     1.9 1
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-1886  5  4     2.8     2.2     2.2 1
-1886  5  5     6.1     5.5     5.5 1
-1886  5  6     7.4     6.8     6.8 1
-1886  5  7     9.2     8.6     8.6 1
-1886  5  8    10.2     9.6     9.6 1
-1886  5  9     7.0     6.4     6.4 1
-1886  5 10     6.3     5.6     5.6 1
-1886  5 11     4.3     3.6     3.6 1
-1886  5 12     5.2     4.5     4.5 1
-1886  5 13     5.4     4.7     4.7 1
-1886  5 14     5.5     4.8     4.8 1
-1886  5 15     8.4     7.7     7.7 1
-1886  5 16     8.7     8.0     8.0 1
-1886  5 17     7.2     6.5     6.5 1
-1886  5 18    10.3     9.6     9.6 1
-1886  5 19    14.0    13.3    13.3 1
-1886  5 20    14.0    13.3    13.3 1
-1886  5 21    17.6    16.9    16.9 1
-1886  5 22    15.3    14.7    14.7 1
-1886  5 23    11.2    10.6    10.6 1
-1886  5 24    12.7    12.1    12.1 1
-1886  5 25    12.0    11.4    11.4 1
-1886  5 26    13.5    12.9    12.9 1
-1886  5 27    13.1    12.5    12.5 1
-1886  5 28    15.0    14.4    14.4 1
-1886  5 29    13.3    12.7    12.7 1
-1886  5 30    13.5    12.9    12.9 1
-1886  5 31    13.2    12.6    12.6 1
-1886  6  1    10.8    10.2    10.2 1
-1886  6  2    10.0     9.4     9.4 1
-1886  6  3     8.0     7.4     7.4 1
-1886  6  4     9.4     8.8     8.8 1
-1886  6  5     9.5     9.0     9.0 1
-1886  6  6    12.9    12.4    12.4 1
-1886  6  7    12.7    12.2    12.2 1
-1886  6  8    13.0    12.5    12.5 1
-1886  6  9    13.2    12.7    12.7 1
-1886  6 10    14.2    13.7    13.7 1
-1886  6 11    14.9    14.4    14.4 1
-1886  6 12    17.7    17.2    17.2 1
-1886  6 13    17.6    17.1    17.1 1
-1886  6 14    17.6    17.1    17.1 1
-1886  6 15    17.5    17.0    17.0 1
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-1886  6 17    14.5    14.0    14.0 1
-1886  6 18    19.8    19.3    19.3 1
-1886  6 19    18.9    18.4    18.4 1
-1886  6 20    18.0    17.5    17.5 1
-1886  6 21    16.8    16.3    16.3 1
-1886  6 22    15.0    14.5    14.5 1
-1886  6 23    15.7    15.2    15.2 1
-1886  6 24    14.8    14.3    14.3 1
-1886  6 25    15.6    15.1    15.1 1
-1886  6 26    15.5    15.0    15.0 1
-1886  6 27    16.5    16.0    16.0 1
-1886  6 28    14.7    14.2    14.2 1
-1886  6 29    11.8    11.3    11.3 1
-1886  6 30    13.0    12.5    12.5 1
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-1886  7  2    16.0    15.5    15.5 1
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-1886  7  4    14.6    14.1    14.1 1
-1886  7  5    17.8    17.3    17.3 1
-1886  7  6    16.6    16.1    16.1 1
-1886  7  7    15.8    15.3    15.3 1
-1886  7  8    16.3    15.8    15.8 1
-1886  7  9    15.3    14.8    14.8 1
-1886  7 10    14.9    14.4    14.4 1
-1886  7 11    13.6    13.1    13.1 1
-1886  7 12    15.2    14.7    14.7 1
-1886  7 13    14.8    14.3    14.3 1
-1886  7 14    15.9    15.4    15.4 1
-1886  7 15    15.4    14.9    14.9 1
-1886  7 16    15.9    15.4    15.4 1
-1886  7 17    16.8    16.3    16.3 1
-1886  7 18    16.3    15.8    15.8 1
-1886  7 19    17.0    16.5    16.5 1
-1886  7 20    19.9    19.4    19.4 1
-1886  7 21    20.5    20.0    20.0 1
-1886  7 22    19.7    19.2    19.2 1
-1886  7 23    19.6    19.1    19.1 1
-1886  7 24    18.6    18.1    18.1 1
-1886  7 25    17.7    17.2    17.2 1
-1886  7 26    17.3    16.8    16.8 1
-1886  7 27    17.7    17.2    17.2 1
-1886  7 28    15.6    15.1    15.1 1
-1886  7 29    15.0    14.5    14.5 1
-1886  7 30    14.7    14.2    14.2 1
-1886  7 31    16.5    16.0    16.0 1
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-1886  8  4    17.2    16.7    16.7 1
-1886  8  5    15.1    14.6    14.6 1
-1886  8  6    17.2    16.7    16.7 1
-1886  8  7    17.3    16.8    16.8 1
-1886  8  8    18.3    17.8    17.8 1
-1886  8  9    16.2    15.7    15.7 1
-1886  8 10    16.6    16.1    16.1 1
-1886  8 11    14.8    14.3    14.3 1
-1886  8 12    14.4    13.9    13.9 1
-1886  8 13    14.4    13.9    13.9 1
-1886  8 14    16.2    15.7    15.7 1
-1886  8 15    16.4    15.9    15.9 1
-1886  8 16    16.5    16.0    16.0 1
-1886  8 17    17.1    16.6    16.6 1
-1886  8 18    18.1    17.7    17.7 1
-1886  8 19    18.9    18.5    18.5 1
-1886  8 20    17.1    16.7    16.7 1
-1886  8 21    17.7    17.3    17.3 1
-1886  8 22    17.0    16.6    16.6 1
-1886  8 23    16.0    15.6    15.6 1
-1886  8 24    16.6    16.2    16.2 1
-1886  8 25    17.2    16.8    16.8 1
-1886  8 26    18.7    18.3    18.3 1
-1886  8 27    15.9    15.5    15.5 1
-1886  8 28    13.5    13.1    13.1 1
-1886  8 29    16.1    15.7    15.7 1
-1886  8 30    16.1    15.7    15.7 1
-1886  8 31    15.1    14.7    14.7 1
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-1886  9  2    19.8    19.5    19.5 1
-1886  9  3    16.3    16.0    16.0 1
-1886  9  4    18.2    17.9    17.9 1
-1886  9  5    13.5    13.2    13.2 1
-1886  9  6    15.0    14.7    14.7 1
-1886  9  7    15.6    15.3    15.3 1
-1886  9  8    16.7    16.4    16.4 1
-1886  9  9    16.7    16.4    16.4 1
-1886  9 10    16.8    16.5    16.5 1
-1886  9 11    16.2    15.9    15.9 1
-1886  9 12    16.0    15.7    15.7 1
-1886  9 13    16.4    16.1    16.1 1
-1886  9 14    18.8    18.5    18.5 1
-1886  9 15     8.2     7.9     7.9 1
-1886  9 16     8.8     8.5     8.5 1
-1886  9 17    10.5    10.2    10.2 1
-1886  9 18     8.1     7.8     7.8 1
-1886  9 19     7.3     7.1     7.1 1
-1886  9 20     8.4     8.2     8.2 1
-1886  9 21     8.0     7.8     7.8 1
-1886  9 22     3.7     3.5     3.5 1
-1886  9 23     4.6     4.4     4.4 1
-1886  9 24     6.1     5.9     5.9 1
-1886  9 25     6.3     6.1     6.1 1
-1886  9 26     7.5     7.3     7.3 1
-1886  9 27    10.6    10.4    10.4 1
-1886  9 28    11.2    11.0    11.0 1
-1886  9 29    10.1     9.9     9.9 1
-1886  9 30     8.2     8.0     8.0 1
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-1886 10  3    12.2    12.0    12.0 1
-1886 10  4     6.3     6.1     6.1 1
-1886 10  5     6.0     5.8     5.8 1
-1886 10  6     5.6     5.4     5.4 1
-1886 10  7     5.8     5.6     5.6 1
-1886 10  8     7.1     6.9     6.9 1
-1886 10  9     8.7     8.5     8.5 1
-1886 10 10     9.3     9.1     9.1 1
-1886 10 11     8.2     8.0     8.0 1
-1886 10 12     6.6     6.4     6.4 1
-1886 10 13     9.9     9.7     9.7 1
-1886 10 14     9.9     9.7     9.7 1
-1886 10 15     8.8     8.6     8.6 1
-1886 10 16     8.4     8.2     8.2 1
-1886 10 17     7.4     7.2     7.2 1
-1886 10 18     6.8     6.6     6.6 1
-1886 10 19     5.9     5.7     5.7 1
-1886 10 20     5.8     5.6     5.6 1
-1886 10 21     4.5     4.3     4.3 1
-1886 10 22     3.9     3.7     3.7 1
-1886 10 23     3.1     2.9     2.9 1
-1886 10 24     2.2     2.0     2.0 1
-1886 10 25     1.3     1.1     1.1 1
-1886 10 26     3.2     3.0     3.0 1
-1886 10 27     1.1     0.9     0.9 1
-1886 10 28     0.9     0.7     0.7 1
-1886 10 29     5.2     5.0     5.0 1
-1886 10 30     5.2     5.0     5.0 1
-1886 10 31     5.2     5.0     5.0 1
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-1886 11  3     6.6     6.4     6.4 1
-1886 11  4     8.0     7.8     7.8 1
-1886 11  5     5.9     5.7     5.7 1
-1886 11  6     6.3     6.1     6.1 1
-1886 11  7     6.7     6.5     6.5 1
-1886 11  8     6.1     5.8     5.8 1
-1886 11  9     2.9     2.6     2.6 1
-1886 11 10     5.9     5.6     5.6 1
-1886 11 11     5.7     5.4     5.4 1
-1886 11 12     6.9     6.6     6.6 1
-1886 11 13     6.6     6.3     6.3 1
-1886 11 14     6.0     5.7     5.7 1
-1886 11 15     5.4     5.1     5.1 1
-1886 11 16     5.8     5.5     5.5 1
-1886 11 17     6.0     5.7     5.7 1
-1886 11 18     3.8     3.5     3.5 1
-1886 11 19     3.0     2.7     2.7 1
-1886 11 20     1.3     1.0     1.0 1
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-1886 11 23     0.3     0.0     0.0 1
-1886 11 24     3.0     2.7     2.7 1
-1886 11 25     1.8     1.5     1.5 1
-1886 11 26     1.7     1.4     1.4 1
-1886 11 27     1.6     1.3     1.3 1
-1886 11 28     2.6     2.3     2.3 1
-1886 11 29     6.2     5.9     5.9 1
-1886 11 30     4.8     4.5     4.5 1
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-1886 12  6     1.0     0.7     0.7 1
-1886 12  7     1.0     0.7     0.7 1
-1886 12  8     0.8     0.5     0.5 1
-1886 12  9     2.8     2.5     2.5 1
-1886 12 10     4.7     4.4     4.4 1
-1886 12 11     3.6     3.3     3.3 1
-1886 12 12     3.4     3.1     3.1 1
-1886 12 13     2.3     2.0     2.0 1
-1886 12 14     1.1     0.8     0.8 1
-1886 12 15    -1.9    -2.2    -2.2 1
-1886 12 16     1.4     1.1     1.1 1
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-1886 12 18    -5.3    -5.6    -5.6 1
-1886 12 19    -7.9    -8.2    -8.2 1
-1886 12 20   -10.4   -10.7   -10.7 1
-1886 12 21   -12.0   -12.3   -12.3 1
-1886 12 22    -7.8    -8.1    -8.1 1
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-1886 12 25    -5.0    -5.3    -5.3 1
-1886 12 26    -0.4    -0.7    -0.7 1
-1886 12 27    -0.1    -0.5    -0.5 1
-1886 12 28    -0.6    -1.0    -1.0 1
-1886 12 29    -3.5    -3.9    -3.9 1
-1886 12 30   -10.8   -11.2   -11.2 1
-1886 12 31   -13.9   -14.3   -14.3 1
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-1887  1  5    -2.2    -2.6    -2.6 1
-1887  1  6     0.5     0.1     0.1 1
-1887  1  7     1.5     1.1     1.1 1
-1887  1  8     0.8     0.3     0.3 1
-1887  1  9     0.2    -0.3    -0.3 1
-1887  1 10    -1.1    -1.6    -1.6 1
-1887  1 11     0.4    -0.1    -0.1 1
-1887  1 12     0.1    -0.4    -0.4 1
-1887  1 13    -1.2    -1.7    -1.7 1
-1887  1 14    -1.7    -2.2    -2.2 1
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-1887  1 16    -1.6    -2.1    -2.1 1
-1887  1 17    -3.6    -4.1    -4.1 1
-1887  1 18    -2.5    -3.0    -3.0 1
-1887  1 19    -0.4    -0.9    -0.9 1
-1887  1 20    -1.1    -1.6    -1.6 1
-1887  1 21     3.6     3.1     3.1 1
-1887  1 22     3.5     3.0     3.0 1
-1887  1 23    -1.8    -2.3    -2.3 1
-1887  1 24    -1.7    -2.2    -2.2 1
-1887  1 25     2.8     2.3     2.3 1
-1887  1 26     4.2     3.7     3.7 1
-1887  1 27     0.3    -0.2    -0.2 1
-1887  1 28     2.0     1.5     1.5 1
-1887  1 29     4.8     4.3     4.3 1
-1887  1 30     5.5     5.0     5.0 1
-1887  1 31     1.9     1.4     1.4 1
-1887  2  1     3.9     3.4     3.4 1
-1887  2  2     0.0    -0.5    -0.5 1
-1887  2  3     1.5     1.0     1.0 1
-1887  2  4     5.0     4.5     4.5 1
-1887  2  5     2.8     2.3     2.3 1
-1887  2  6     0.2    -0.3    -0.3 1
-1887  2  7    -2.3    -2.8    -2.8 1
-1887  2  8    -2.9    -3.4    -3.4 1
-1887  2  9    -0.1    -0.6    -0.6 1
-1887  2 10    -1.5    -2.0    -2.0 1
-1887  2 11    -0.9    -1.4    -1.4 1
-1887  2 12    -4.1    -4.6    -4.6 1
-1887  2 13     0.8     0.3     0.3 1
-1887  2 14    -4.5    -4.9    -4.9 1
-1887  2 15    -4.7    -5.1    -5.1 1
-1887  2 16    -2.8    -3.2    -3.2 1
-1887  2 17    -4.1    -4.5    -4.5 1
-1887  2 18    -2.8    -3.2    -3.2 1
-1887  2 19    -2.4    -2.8    -2.8 1
-1887  2 20    -1.1    -1.5    -1.5 1
-1887  2 21    -1.4    -1.8    -1.8 1
-1887  2 22    -0.4    -0.8    -0.8 1
-1887  2 23     1.9     1.5     1.5 1
-1887  2 24     4.9     4.5     4.5 1
-1887  2 25     4.2     3.8     3.8 1
-1887  2 26    -1.0    -1.4    -1.4 1
-1887  2 27     3.0     2.6     2.6 1
-1887  2 28     4.7     4.3     4.3 1
-1887  3  1     6.0     5.6     5.6 1
-1887  3  2     5.2     4.8     4.8 1
-1887  3  3     6.1     5.7     5.7 1
-1887  3  4     6.8     6.4     6.4 1
-1887  3  5     3.9     3.5     3.5 1
-1887  3  6     6.2     5.8     5.8 1
-1887  3  7     2.0     1.6     1.6 1
-1887  3  8     1.9     1.5     1.5 1
-1887  3  9     0.8     0.4     0.4 1
-1887  3 10    -5.3    -5.7    -5.7 1
-1887  3 11    -3.7    -4.1    -4.1 1
-1887  3 12    -8.1    -8.5    -8.5 1
-1887  3 13    -8.2    -8.6    -8.6 1
-1887  3 14    -6.3    -6.7    -6.7 1
-1887  3 15    -3.1    -3.5    -3.5 1
-1887  3 16    -3.1    -3.5    -3.5 1
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-1887  3 18    -5.2    -5.6    -5.6 1
-1887  3 19    -2.6    -3.0    -3.0 1
-1887  3 20    -0.8    -1.2    -1.2 1
-1887  3 21     0.2    -0.2    -0.2 1
-1887  3 22     0.3    -0.1    -0.1 1
-1887  3 23     1.0     0.6     0.6 1
-1887  3 24     2.1     1.7     1.7 1
-1887  3 25     2.6     2.2     2.2 1
-1887  3 26     0.3    -0.1    -0.1 1
-1887  3 27     0.6     0.2     0.2 1
-1887  3 28     1.5     1.1     1.1 1
-1887  3 29     1.0     0.6     0.6 1
-1887  3 30     2.5     2.1     2.1 1
-1887  3 31     2.1     1.7     1.7 1
-1887  4  1     2.5     2.1     2.1 1
-1887  4  2     1.2     0.8     0.8 1
-1887  4  3     0.5     0.1     0.1 1
-1887  4  4     2.1     1.7     1.7 1
-1887  4  5     2.9     2.5     2.5 1
-1887  4  6     2.1     1.7     1.7 1
-1887  4  7    -0.1    -0.5    -0.5 1
-1887  4  8     5.5     5.1     5.1 1
-1887  4  9     1.8     1.4     1.4 1
-1887  4 10     8.3     7.9     7.9 1
-1887  4 11     9.1     8.7     8.7 1
-1887  4 12     8.6     8.2     8.2 1
-1887  4 13     0.3    -0.1    -0.1 1
-1887  4 14    -0.9    -1.3    -1.3 1
-1887  4 15    -1.1    -1.5    -1.5 1
-1887  4 16     1.5     1.0     1.0 1
-1887  4 17     5.8     5.3     5.3 1
-1887  4 18     7.5     7.0     7.0 1
-1887  4 19     5.9     5.4     5.4 1
-1887  4 20     1.5     1.0     1.0 1
-1887  4 21     1.2     0.7     0.7 1
-1887  4 22     2.6     2.1     2.1 1
-1887  4 23     5.2     4.7     4.7 1
-1887  4 24     7.2     6.7     6.7 1
-1887  4 25     9.7     9.2     9.2 1
-1887  4 26    10.3     9.7     9.7 1
-1887  4 27     9.3     8.7     8.7 1
-1887  4 28     9.1     8.5     8.5 1
-1887  4 29     7.2     6.6     6.6 1
-1887  4 30     4.9     4.3     4.3 1
-1887  5  1     6.6     6.0     6.0 1
-1887  5  2     6.6     6.0     6.0 1
-1887  5  3     8.0     7.4     7.4 1
-1887  5  4    10.5     9.9     9.9 1
-1887  5  5     5.9     5.3     5.3 1
-1887  5  6     7.4     6.7     6.7 1
-1887  5  7     7.1     6.4     6.4 1
-1887  5  8     6.7     6.0     6.0 1
-1887  5  9     9.4     8.7     8.7 1
-1887  5 10    10.7    10.0    10.0 1
-1887  5 11     8.8     8.1     8.1 1
-1887  5 12     7.9     7.2     7.2 1
-1887  5 13     8.3     7.6     7.6 1
-1887  5 14     8.8     8.1     8.1 1
-1887  5 15    13.1    12.4    12.4 1
-1887  5 16    12.5    11.8    11.8 1
-1887  5 17    10.7    10.0    10.0 1
-1887  5 18    11.1    10.4    10.4 1
-1887  5 19     9.8     9.1     9.1 1
-1887  5 20    10.8    10.1    10.1 1
-1887  5 21    11.9    11.2    11.2 1
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-1887  5 23     9.4     8.7     8.7 1
-1887  5 24     8.1     7.4     7.4 1
-1887  5 25    11.4    10.7    10.7 1
-1887  5 26    10.6     9.9     9.9 1
-1887  5 27    10.5     9.9     9.9 1
-1887  5 28    11.3    10.7    10.7 1
-1887  5 29     7.9     7.3     7.3 1
-1887  5 30     6.4     5.8     5.8 1
-1887  5 31    10.6    10.0    10.0 1
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-1887  6  5    16.7    16.1    16.1 1
-1887  6  6    18.8    18.2    18.2 1
-1887  6  7    16.4    15.8    15.8 1
-1887  6  8    14.7    14.2    14.2 1
-1887  6  9    13.8    13.3    13.3 1
-1887  6 10     8.3     7.8     7.8 1
-1887  6 11     8.8     8.3     8.3 1
-1887  6 12    10.4     9.9     9.9 1
-1887  6 13    12.2    11.7    11.7 1
-1887  6 14    13.7    13.2    13.2 1
-1887  6 15    13.3    12.8    12.8 1
-1887  6 16    11.8    11.3    11.3 1
-1887  6 17    11.6    11.1    11.1 1
-1887  6 18    16.2    15.7    15.7 1
-1887  6 19    13.9    13.4    13.4 1
-1887  6 20     8.6     8.1     8.1 1
-1887  6 21    11.9    11.4    11.4 1
-1887  6 22    15.0    14.5    14.5 1
-1887  6 23    15.3    14.8    14.8 1
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-1887  6 25    13.0    12.5    12.5 1
-1887  6 26    11.1    10.6    10.6 1
-1887  6 27    13.2    12.7    12.7 1
-1887  6 28    16.3    15.8    15.8 1
-1887  6 29    17.6    17.1    17.1 1
-1887  6 30    17.7    17.2    17.2 1
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-1887  7  5    14.6    14.1    14.1 1
-1887  7  6     8.3     7.8     7.8 1
-1887  7  7    12.4    11.9    11.9 1
-1887  7  8    11.5    11.0    11.0 1
-1887  7  9    13.8    13.3    13.3 1
-1887  7 10    13.4    12.9    12.9 1
-1887  7 11    13.7    13.2    13.2 1
-1887  7 12    15.6    15.1    15.1 1
-1887  7 13    18.2    17.7    17.7 1
-1887  7 14    19.8    19.3    19.3 1
-1887  7 15    20.3    19.8    19.8 1
-1887  7 16    21.0    20.5    20.5 1
-1887  7 17    19.3    18.8    18.8 1
-1887  7 18    16.7    16.2    16.2 1
-1887  7 19    17.4    16.9    16.9 1
-1887  7 20    18.7    18.2    18.2 1
-1887  7 21    13.6    13.1    13.1 1
-1887  7 22    15.2    14.7    14.7 1
-1887  7 23    17.0    16.5    16.5 1
-1887  7 24    17.9    17.4    17.4 1
-1887  7 25    16.9    16.4    16.4 1
-1887  7 26    16.2    15.7    15.7 1
-1887  7 27    17.3    16.8    16.8 1
-1887  7 28    19.6    19.1    19.1 1
-1887  7 29    18.9    18.4    18.4 1
-1887  7 30    22.5    22.0    22.0 1
-1887  7 31    21.6    21.1    21.1 1
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-1887  8  5    16.3    15.8    15.8 1
-1887  8  6    15.6    15.1    15.1 1
-1887  8  7    18.2    17.7    17.7 1
-1887  8  8    15.7    15.2    15.2 1
-1887  8  9    13.2    12.7    12.7 1
-1887  8 10    13.6    13.1    13.1 1
-1887  8 11    13.1    12.6    12.6 1
-1887  8 12    13.3    12.8    12.8 1
-1887  8 13    14.8    14.3    14.3 1
-1887  8 14    13.6    13.1    13.1 1
-1887  8 15    13.2    12.7    12.7 1
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-1887  8 17    14.2    13.7    13.7 1
-1887  8 18    12.5    12.0    12.0 1
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-1887  8 20    14.1    13.6    13.6 1
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-1887  8 22    14.8    14.4    14.4 1
-1887  8 23    13.6    13.2    13.2 1
-1887  8 24    13.7    13.3    13.3 1
-1887  8 25    13.1    12.7    12.7 1
-1887  8 26    15.4    15.0    15.0 1
-1887  8 27    15.6    15.2    15.2 1
-1887  8 28    17.1    16.7    16.7 1
-1887  8 29    18.6    18.2    18.2 1
-1887  8 30    18.4    18.0    18.0 1
-1887  8 31    17.6    17.2    17.2 1
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-1887  9  2    16.1    15.7    15.7 1
-1887  9  3    16.5    16.1    16.1 1
-1887  9  4    16.0    15.6    15.6 1
-1887  9  5    14.8    14.5    14.5 1
-1887  9  6    14.5    14.2    14.2 1
-1887  9  7    14.9    14.6    14.6 1
-1887  9  8    11.4    11.1    11.1 1
-1887  9  9    12.7    12.4    12.4 1
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-1887  9 11    11.8    11.5    11.5 1
-1887  9 12    13.8    13.5    13.5 1
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-1887  9 17    13.8    13.5    13.5 1
-1887  9 18    12.4    12.1    12.1 1
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-1887  9 20     8.0     7.7     7.7 1
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-1887  9 25     6.6     6.4     6.4 1
-1887  9 26     7.3     7.1     7.1 1
-1887  9 27     8.3     8.1     8.1 1
-1887  9 28     9.5     9.3     9.3 1
-1887  9 29     9.1     8.9     8.9 1
-1887  9 30     9.2     9.0     9.0 1
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-1887 10  4     8.2     8.0     8.0 1
-1887 10  5     8.6     8.4     8.4 1
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-1887 10 14    -0.2    -0.4    -0.4 1
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-1887 10 17     2.7     2.5     2.5 1
-1887 10 18     6.4     6.2     6.2 1
-1887 10 19     7.7     7.5     7.5 1
-1887 10 20     7.2     7.0     7.0 1
-1887 10 21     2.4     2.2     2.2 1
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-1888  3  7   -11.4   -11.9   -11.9 1
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-1888  7 17    15.4    14.9    14.9 1
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-1889  4 23     6.8     6.2     6.2 1
-1889  4 24     6.1     5.5     5.5 1
-1889  4 25     5.4     4.8     4.8 1
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-1889  4 27     4.2     3.6     3.6 1
-1889  4 28     3.8     3.2     3.2 1
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-1889  5  7     6.0     5.3     5.3 1
-1889  5  8     9.3     8.6     8.6 1
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-1889  5 13     9.3     8.5     8.5 1
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-1889  5 17     7.7     6.9     6.9 1
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-1889  5 25    20.1    19.4    19.4 1
-1889  5 26    18.4    17.7    17.7 1
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-1889  5 28    14.2    13.5    13.5 1
-1889  5 29    14.2    13.5    13.5 1
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-1889  5 31    16.1    15.5    15.5 1
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-1889  6 25    18.0    17.5    17.5 1
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-1889  6 27    17.8    17.3    17.3 1
-1889  6 28    18.0    17.5    17.5 1
-1889  6 29    17.4    16.9    16.9 1
-1889  6 30    18.6    18.1    18.1 1
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-1889  7  7    16.0    15.5    15.5 1
-1889  7  8    13.9    13.4    13.4 1
-1889  7  9    14.7    14.2    14.2 1
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-1889  7 11    16.4    15.9    15.9 1
-1889  7 12    14.3    13.8    13.8 1
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-1889  7 16    15.1    14.6    14.6 1
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-1889  7 25    15.8    15.3    15.3 1
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-1889  7 27    16.2    15.7    15.7 1
-1889  7 28    16.6    16.1    16.1 1
-1889  7 29    16.6    16.1    16.1 1
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-1889  9  8    13.6    13.3    13.3 1
-1889  9  9    14.0    13.7    13.7 1
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-1889 10 29     6.9     6.7     6.7 1
-1889 10 30     7.4     7.2     7.2 1
-1889 10 31     8.0     7.8     7.8 1
-1889 11  1     7.9     7.6     7.6 1
-1889 11  2     4.9     4.6     4.6 1
-1889 11  3     4.6     4.3     4.3 1
-1889 11  4     5.3     5.0     5.0 1
-1889 11  5     6.7     6.4     6.4 1
-1889 11  6     5.9     5.6     5.6 1
-1889 11  7     3.2     2.9     2.9 1
-1889 11  8     4.1     3.8     3.8 1
-1889 11  9     1.7     1.4     1.4 1
-1889 11 10     0.7     0.4     0.4 1
-1889 11 11    -0.6    -0.9    -0.9 1
-1889 11 12     1.1     0.8     0.8 1
-1889 11 13     4.5     4.2     4.2 1
-1889 11 14     0.7     0.4     0.4 1
-1889 11 15     3.3     3.0     3.0 1
-1889 11 16     5.4     5.1     5.1 1
-1889 11 17     3.9     3.6     3.6 1
-1889 11 18     1.6     1.3     1.3 1
-1889 11 19     2.8     2.5     2.5 1
-1889 11 20     3.5     3.2     3.2 1
-1889 11 21     5.1     4.8     4.8 1
-1889 11 22     4.4     4.1     4.1 1
-1889 11 23     4.0     3.7     3.7 1
-1889 11 24     1.1     0.8     0.8 1
-1889 11 25     6.1     5.8     5.8 1
-1889 11 26     3.2     2.9     2.9 1
-1889 11 27     0.3     0.0     0.0 1
-1889 11 28    -2.5    -2.8    -2.8 1
-1889 11 29    -5.5    -5.8    -5.8 1
-1889 11 30    -4.3    -4.6    -4.6 1
-1889 12  1    -6.4    -6.7    -6.7 1
-1889 12  2    -5.0    -5.3    -5.3 1
-1889 12  3    -4.2    -4.5    -4.5 1
-1889 12  4     0.6     0.3     0.3 1
-1889 12  5    -0.3    -0.6    -0.6 1
-1889 12  6    -1.9    -2.2    -2.2 1
-1889 12  7    -1.3    -1.6    -1.6 1
-1889 12  8    -1.4    -1.7    -1.7 1
-1889 12  9    -2.0    -2.3    -2.3 1
-1889 12 10     1.2     0.9     0.9 1
-1889 12 11     2.0     1.7     1.7 1
-1889 12 12     1.1     0.8     0.8 1
-1889 12 13    -2.8    -3.1    -3.1 1
-1889 12 14    -3.1    -3.4    -3.4 1
-1889 12 15    -1.2    -1.5    -1.5 1
-1889 12 16    -1.3    -1.6    -1.6 1
-1889 12 17     2.3     2.0     2.0 1
-1889 12 18     4.3     4.0     4.0 1
-1889 12 19     2.9     2.6     2.6 1
-1889 12 20     2.6     2.3     2.3 1
-1889 12 21     2.8     2.5     2.5 1
-1889 12 22     1.1     0.7     0.7 1
-1889 12 23    -4.4    -4.8    -4.8 1
-1889 12 24    -0.8    -1.2    -1.2 1
-1889 12 25     0.6     0.2     0.2 1
-1889 12 26    -0.6    -1.0    -1.0 1
-1889 12 27    -3.1    -3.5    -3.5 1
-1889 12 28    -5.3    -5.7    -5.7 1
-1889 12 29    -3.4    -3.8    -3.8 1
-1889 12 30    -5.7    -6.1    -6.1 1
-1889 12 31    -4.8    -5.2    -5.2 1
-1890  1  1     2.3     1.9     1.9 1
-1890  1  2     3.0     2.6     2.6 1
-1890  1  3     0.9     0.5     0.5 1
-1890  1  4    -1.9    -2.3    -2.3 1
-1890  1  5     2.3     1.8     1.8 1
-1890  1  6     4.4     3.9     3.9 1
-1890  1  7     4.0     3.5     3.5 1
-1890  1  8     5.4     4.9     4.9 1
-1890  1  9     2.9     2.4     2.4 1
-1890  1 10     2.2     1.7     1.7 1
-1890  1 11    -0.3    -0.8    -0.8 1
-1890  1 12    -2.6    -3.1    -3.1 1
-1890  1 13    -2.4    -2.9    -2.9 1
-1890  1 14     0.3    -0.2    -0.2 1
-1890  1 15     2.4     1.9     1.9 1
-1890  1 16     0.6     0.1     0.1 1
-1890  1 17     0.7     0.2     0.2 1
-1890  1 18     0.9     0.4     0.4 1
-1890  1 19    -0.8    -1.3    -1.3 1
-1890  1 20     1.9     1.4     1.4 1
-1890  1 21     1.2     0.7     0.7 1
-1890  1 22     0.3    -0.2    -0.2 1
-1890  1 23     0.7     0.2     0.2 1
-1890  1 24    -0.9    -1.4    -1.4 1
-1890  1 25     0.3    -0.2    -0.2 1
-1890  1 26     2.8     2.3     2.3 1
-1890  1 27     1.6     1.1     1.1 1
-1890  1 28    -0.1    -0.6    -0.6 1
-1890  1 29    -2.8    -3.3    -3.3 1
-1890  1 30    -3.3    -3.8    -3.8 1
-1890  1 31    -2.6    -3.1    -3.1 1
-1890  2  1     1.2     0.7     0.7 1
-1890  2  2     3.5     3.0     3.0 1
-1890  2  3     3.7     3.2     3.2 1
-1890  2  4     3.6     3.1     3.1 1
-1890  2  5     2.4     1.9     1.9 1
-1890  2  6    -1.2    -1.7    -1.7 1
-1890  2  7     0.7     0.2     0.2 1
-1890  2  8     1.2     0.7     0.7 1
-1890  2  9    -1.2    -1.7    -1.7 1
-1890  2 10    -4.1    -4.6    -4.6 1
-1890  2 11    -5.1    -5.6    -5.6 1
-1890  2 12    -2.7    -3.2    -3.2 1
-1890  2 13    -1.4    -1.9    -1.9 1
-1890  2 14    -0.8    -1.3    -1.3 1
-1890  2 15    -1.4    -1.9    -1.9 1
-1890  2 16    -1.3    -1.8    -1.8 1
-1890  2 17    -1.5    -2.0    -2.0 1
-1890  2 18    -1.2    -1.7    -1.7 1
-1890  2 19    -2.9    -3.4    -3.4 1
-1890  2 20    -2.5    -3.0    -3.0 1
-1890  2 21    -2.6    -3.1    -3.1 1
-1890  2 22    -2.0    -2.5    -2.5 1
-1890  2 23    -4.0    -4.5    -4.5 1
-1890  2 24     0.1    -0.4    -0.4 1
-1890  2 25     1.3     0.8     0.8 1
-1890  2 26    -3.1    -3.6    -3.6 1
-1890  2 27    -6.8    -7.3    -7.3 1
-1890  2 28   -10.4   -10.9   -10.9 1
-1890  3  1   -11.7   -12.2   -12.2 1
-1890  3  2   -11.1   -11.6   -11.6 1
-1890  3  3    -4.0    -4.5    -4.5 1
-1890  3  4    -0.5    -1.0    -1.0 1
-1890  3  5    -1.8    -2.3    -2.3 1
-1890  3  6    -5.6    -6.1    -6.1 1
-1890  3  7    -4.0    -4.5    -4.5 1
-1890  3  8    -3.5    -4.0    -4.0 1
-1890  3  9     1.1     0.6     0.6 1
-1890  3 10    -3.7    -4.2    -4.2 1
-1890  3 11     3.7     3.2     3.2 1
-1890  3 12     5.6     5.1     5.1 1
-1890  3 13     6.8     6.3     6.3 1
-1890  3 14     4.6     4.1     4.1 1
-1890  3 15     3.7     3.2     3.2 1
-1890  3 16     3.1     2.6     2.6 1
-1890  3 17     1.3     0.8     0.8 1
-1890  3 18     1.4     0.9     0.9 1
-1890  3 19     1.2     0.7     0.7 1
-1890  3 20     1.2     0.7     0.7 1
-1890  3 21     1.9     1.4     1.4 1
-1890  3 22     2.7     2.2     2.2 1
-1890  3 23     4.0     3.5     3.5 1
-1890  3 24     6.6     6.1     6.1 1
-1890  3 25     3.5     3.0     3.0 1
-1890  3 26     2.3     1.8     1.8 1
-1890  3 27     3.7     3.2     3.2 1
-1890  3 28     5.6     5.1     5.1 1
-1890  3 29     5.6     5.1     5.1 1
-1890  3 30     2.5     2.0     2.0 1
-1890  3 31     3.1     2.6     2.6 1
-1890  4  1     2.4     1.9     1.9 1
-1890  4  2     4.6     4.1     4.1 1
-1890  4  3     5.3     4.8     4.8 1
-1890  4  4     6.5     6.0     6.0 1
-1890  4  5     5.8     5.3     5.3 1
-1890  4  6     5.7     5.2     5.2 1
-1890  4  7     6.6     6.1     6.1 1
-1890  4  8     6.8     6.3     6.3 1
-1890  4  9     0.1    -0.4    -0.4 1
-1890  4 10     0.0    -0.5    -0.5 1
-1890  4 11     1.0     0.5     0.5 1
-1890  4 12     2.0     1.5     1.5 1
-1890  4 13     2.4     1.9     1.9 1
-1890  4 14     3.3     2.8     2.8 1
-1890  4 15     3.1     2.6     2.6 1
-1890  4 16     2.9     2.4     2.4 1
-1890  4 17     1.3     0.8     0.8 1
-1890  4 18     1.2     0.7     0.7 1
-1890  4 19     2.5     2.0     2.0 1
-1890  4 20     1.9     1.4     1.4 1
-1890  4 21     2.3     1.8     1.8 1
-1890  4 22     3.8     3.3     3.3 1
-1890  4 23     5.4     4.8     4.8 1
-1890  4 24     6.0     5.4     5.4 1
-1890  4 25     6.0     5.4     5.4 1
-1890  4 26     6.0     5.4     5.4 1
-1890  4 27     7.1     6.5     6.5 1
-1890  4 28     6.3     5.7     5.7 1
-1890  4 29     7.0     6.4     6.4 1
-1890  4 30    11.4    10.8    10.8 1
-1890  5  1    12.4    11.8    11.8 1
-1890  5  2    13.2    12.6    12.6 1
-1890  5  3    13.3    12.6    12.6 1
-1890  5  4    14.0    13.3    13.3 1
-1890  5  5    13.6    12.9    12.9 1
-1890  5  6    14.1    13.4    13.4 1
-1890  5  7    11.4    10.7    10.7 1
-1890  5  8     8.3     7.6     7.6 1
-1890  5  9     6.9     6.2     6.2 1
-1890  5 10     5.2     4.5     4.5 1
-1890  5 11     6.2     5.5     5.5 1
-1890  5 12     9.4     8.7     8.7 1
-1890  5 13    10.5     9.7     9.7 1
-1890  5 14    12.0    11.2    11.2 1
-1890  5 15    13.6    12.8    12.8 1
-1890  5 16    14.0    13.2    13.2 1
-1890  5 17    14.2    13.4    13.4 1
-1890  5 18    16.0    15.2    15.2 1
-1890  5 19    16.4    15.7    15.7 1
-1890  5 20    16.8    16.1    16.1 1
-1890  5 21    19.8    19.1    19.1 1
-1890  5 22    16.0    15.3    15.3 1
-1890  5 23    12.2    11.5    11.5 1
-1890  5 24    15.4    14.7    14.7 1
-1890  5 25     7.6     6.9     6.9 1
-1890  5 26     5.5     4.8     4.8 1
-1890  5 27     6.2     5.5     5.5 1
-1890  5 28     7.8     7.1     7.1 1
-1890  5 29    10.8    10.1    10.1 1
-1890  5 30    10.4     9.7     9.7 1
-1890  5 31     8.6     8.0     8.0 1
-1890  6  1     9.6     9.0     9.0 1
-1890  6  2    10.6    10.0    10.0 1
-1890  6  3    11.9    11.3    11.3 1
-1890  6  4    14.4    13.8    13.8 1
-1890  6  5    17.0    16.4    16.4 1
-1890  6  6    17.1    16.5    16.5 1
-1890  6  7    16.3    15.7    15.7 1
-1890  6  8    15.7    15.1    15.1 1
-1890  6  9     8.5     7.9     7.9 1
-1890  6 10     9.4     8.8     8.8 1
-1890  6 11    10.1     9.5     9.5 1
-1890  6 12    13.2    12.7    12.7 1
-1890  6 13    14.1    13.6    13.6 1
-1890  6 14    12.0    11.5    11.5 1
-1890  6 15    10.7    10.2    10.2 1
-1890  6 16    15.8    15.3    15.3 1
-1890  6 17    15.0    14.5    14.5 1
-1890  6 18    13.7    13.2    13.2 1
-1890  6 19    13.6    13.1    13.1 1
-1890  6 20    13.2    12.7    12.7 1
-1890  6 21    15.3    14.8    14.8 1
-1890  6 22    16.7    16.2    16.2 1
-1890  6 23    16.3    15.8    15.8 1
-1890  6 24    17.2    16.7    16.7 1
-1890  6 25    18.3    17.8    17.8 1
-1890  6 26    16.3    15.8    15.8 1
-1890  6 27    15.4    14.9    14.9 1
-1890  6 28    12.7    12.2    12.2 1
-1890  6 29    14.5    14.0    14.0 1
-1890  6 30    14.8    14.3    14.3 1
-1890  7  1    15.0    14.5    14.5 1
-1890  7  2    12.1    11.6    11.6 1
-1890  7  3    15.7    15.2    15.2 1
-1890  7  4    15.9    15.4    15.4 1
-1890  7  5    16.2    15.7    15.7 1
-1890  7  6    14.1    13.6    13.6 1
-1890  7  7    14.8    14.3    14.3 1
-1890  7  8    13.7    13.2    13.2 1
-1890  7  9    13.6    13.1    13.1 1
-1890  7 10    14.6    14.1    14.1 1
-1890  7 11    15.0    14.5    14.5 1
-1890  7 12    14.4    13.9    13.9 1
-1890  7 13    14.4    13.9    13.9 1
-1890  7 14    16.4    15.9    15.9 1
-1890  7 15    17.7    17.1    17.1 1
-1890  7 16    17.1    16.6    16.6 1
-1890  7 17    17.0    16.5    16.5 1
-1890  7 18    15.0    14.5    14.5 1
-1890  7 19    13.0    12.5    12.5 1
-1890  7 20    14.8    14.3    14.3 1
-1890  7 21    15.4    14.9    14.9 1
-1890  7 22    14.0    13.5    13.5 1
-1890  7 23    14.2    13.7    13.7 1
-1890  7 24    13.8    13.3    13.3 1
-1890  7 25    12.1    11.6    11.6 1
-1890  7 26    14.7    14.2    14.2 1
-1890  7 27    16.7    16.2    16.2 1
-1890  7 28    17.3    16.8    16.8 1
-1890  7 29    17.8    17.3    17.3 1
-1890  7 30    15.1    14.6    14.6 1
-1890  7 31    16.6    16.1    16.1 1
-1890  8  1    18.0    17.5    17.5 1
-1890  8  2    17.2    16.7    16.7 1
-1890  8  3    17.8    17.3    17.3 1
-1890  8  4    19.1    18.6    18.6 1
-1890  8  5    17.9    17.4    17.4 1
-1890  8  6    19.5    19.0    19.0 1
-1890  8  7    16.5    16.0    16.0 1
-1890  8  8    15.3    14.8    14.8 1
-1890  8  9    15.9    15.4    15.4 1
-1890  8 10    15.0    14.5    14.5 1
-1890  8 11    15.0    14.5    14.5 1
-1890  8 12    16.3    15.8    15.8 1
-1890  8 13    17.9    17.4    17.4 1
-1890  8 14    18.3    17.8    17.8 1
-1890  8 15    16.4    15.9    15.9 1
-1890  8 16    17.9    17.4    17.4 1
-1890  8 17    15.1    14.6    14.6 1
-1890  8 18    16.2    15.7    15.7 1
-1890  8 19    15.7    15.2    15.2 1
-1890  8 20    15.3    14.8    14.8 1
-1890  8 21    14.3    13.8    13.8 1
-1890  8 22    13.4    12.9    12.9 1
-1890  8 23    13.8    13.3    13.3 1
-1890  8 24    14.5    14.0    14.0 1
-1890  8 25    13.0    12.6    12.6 1
-1890  8 26    12.7    12.3    12.3 1
-1890  8 27    11.0    10.6    10.6 1
-1890  8 28    10.8    10.4    10.4 1
-1890  8 29    12.1    11.7    11.7 1
-1890  8 30    12.8    12.4    12.4 1
-1890  8 31    11.7    11.3    11.3 1
-1890  9  1    12.1    11.7    11.7 1
-1890  9  2    11.6    11.2    11.2 1
-1890  9  3    11.8    11.4    11.4 1
-1890  9  4    12.8    12.4    12.4 1
-1890  9  5    14.9    14.5    14.5 1
-1890  9  6    13.5    13.1    13.1 1
-1890  9  7    12.1    11.8    11.8 1
-1890  9  8    10.1     9.8     9.8 1
-1890  9  9    11.6    11.3    11.3 1
-1890  9 10    13.1    12.8    12.8 1
-1890  9 11    10.2     9.9     9.9 1
-1890  9 12     9.9     9.6     9.6 1
-1890  9 13    12.0    11.7    11.7 1
-1890  9 14    13.4    13.1    13.1 1
-1890  9 15    13.4    13.1    13.1 1
-1890  9 16    15.6    15.3    15.3 1
-1890  9 17    12.3    12.0    12.0 1
-1890  9 18    11.0    10.7    10.7 1
-1890  9 19    12.2    11.9    11.9 1
-1890  9 20    12.1    11.8    11.8 1
-1890  9 21    13.2    12.9    12.9 1
-1890  9 22    13.6    13.3    13.3 1
-1890  9 23    15.2    14.9    14.9 1
-1890  9 24    14.8    14.5    14.5 1
-1890  9 25    13.6    13.3    13.3 1
-1890  9 26    10.2    10.0    10.0 1
-1890  9 27    12.2    12.0    12.0 1
-1890  9 28    11.3    11.1    11.1 1
-1890  9 29     9.3     9.1     9.1 1
-1890  9 30    11.6    11.4    11.4 1
-1890 10  1     7.5     7.3     7.3 1
-1890 10  2     5.3     5.1     5.1 1
-1890 10  3     4.6     4.4     4.4 1
-1890 10  4     4.2     4.0     4.0 1
-1890 10  5     2.7     2.5     2.5 1
-1890 10  6     7.1     6.9     6.9 1
-1890 10  7     0.5     0.3     0.3 1
-1890 10  8     2.3     2.1     2.1 1
-1890 10  9     2.6     2.4     2.4 1
-1890 10 10     5.2     5.0     5.0 1
-1890 10 11     9.1     8.9     8.9 1
-1890 10 12     7.5     7.3     7.3 1
-1890 10 13     9.2     9.0     9.0 1
-1890 10 14     9.6     9.4     9.4 1
-1890 10 15     9.3     9.1     9.1 1
-1890 10 16     9.6     9.4     9.4 1
-1890 10 17     7.1     6.9     6.9 1
-1890 10 18     8.5     8.3     8.3 1
-1890 10 19     2.1     1.9     1.9 1
-1890 10 20    -0.3    -0.5    -0.5 1
-1890 10 21    -1.0    -1.2    -1.2 1
-1890 10 22     1.6     1.4     1.4 1
-1890 10 23     6.1     5.9     5.9 1
-1890 10 24     8.8     8.6     8.6 1
-1890 10 25     7.8     7.6     7.6 1
-1890 10 26     3.6     3.4     3.4 1
-1890 10 27     1.8     1.6     1.6 1
-1890 10 28     0.5     0.3     0.3 1
-1890 10 29     1.9     1.7     1.7 1
-1890 10 30     6.6     6.4     6.4 1
-1890 10 31     2.6     2.4     2.4 1
-1890 11  1     4.3     4.0     4.0 1
-1890 11  2     3.9     3.6     3.6 1
-1890 11  3     6.3     6.0     6.0 1
-1890 11  4     6.5     6.2     6.2 1
-1890 11  5     7.0     6.7     6.7 1
-1890 11  6     6.4     6.1     6.1 1
-1890 11  7     5.9     5.6     5.6 1
-1890 11  8     5.2     4.9     4.9 1
-1890 11  9     5.4     5.1     5.1 1
-1890 11 10     6.7     6.4     6.4 1
-1890 11 11     5.7     5.4     5.4 1
-1890 11 12     5.3     5.0     5.0 1
-1890 11 13     6.4     6.1     6.1 1
-1890 11 14     6.0     5.7     5.7 1
-1890 11 15     4.6     4.3     4.3 1
-1890 11 16     4.5     4.2     4.2 1
-1890 11 17     1.9     1.6     1.6 1
-1890 11 18    -0.3    -0.6    -0.6 1
-1890 11 19     2.5     2.2     2.2 1
-1890 11 20     3.0     2.7     2.7 1
-1890 11 21     3.1     2.8     2.8 1
-1890 11 22     3.9     3.6     3.6 1
-1890 11 23     2.9     2.6     2.6 1
-1890 11 24    -4.7    -5.0    -5.0 1
-1890 11 25   -10.5   -10.8   -10.8 1
-1890 11 26    -8.3    -8.6    -8.6 1
-1890 11 27    -9.9   -10.2   -10.2 1
-1890 11 28    -6.8    -7.1    -7.1 1
-1890 11 29    -4.0    -4.3    -4.3 1
-1890 11 30    -0.8    -1.1    -1.1 1
-1890 12  1     3.3     3.0     3.0 1
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-1890 12  3     2.2     1.9     1.9 1
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-1890 12  5    -2.8    -3.1    -3.1 1
-1890 12  6    -3.1    -3.4    -3.4 1
-1890 12  7    -3.0    -3.3    -3.3 1
-1890 12  8    -4.2    -4.5    -4.5 1
-1890 12  9    -3.3    -3.6    -3.6 1
-1890 12 10    -5.9    -6.2    -6.2 1
-1890 12 11    -6.1    -6.4    -6.4 1
-1890 12 12    -3.4    -3.7    -3.7 1
-1890 12 13    -2.2    -2.5    -2.5 1
-1890 12 14    -1.4    -1.7    -1.7 1
-1890 12 15    -0.4    -0.7    -0.7 1
-1890 12 16    -5.5    -5.8    -5.8 1
-1890 12 17    -6.6    -6.9    -6.9 1
-1890 12 18    -2.6    -2.9    -2.9 1
-1890 12 19    -0.2    -0.5    -0.5 1
-1890 12 20    -4.4    -4.7    -4.7 1
-1890 12 21     1.4     1.1     1.1 1
-1890 12 22     0.1    -0.3    -0.3 1
-1890 12 23    -3.2    -3.6    -3.6 1
-1890 12 24    -2.6    -3.0    -3.0 1
-1890 12 25    -1.3    -1.7    -1.7 1
-1890 12 26    -1.3    -1.7    -1.7 1
-1890 12 27    -0.9    -1.3    -1.3 1
-1890 12 28    -7.4    -7.8    -7.8 1
-1890 12 29    -3.9    -4.3    -4.3 1
-1890 12 30    -9.9   -10.3   -10.3 1
-1890 12 31    -4.4    -4.8    -4.8 1
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-1891  1  3    -3.9    -4.3    -4.3 1
-1891  1  4    -4.1    -4.5    -4.5 1
-1891  1  5    -7.9    -8.4    -8.4 1
-1891  1  6   -14.0   -14.5   -14.5 1
-1891  1  7   -10.9   -11.4   -11.4 1
-1891  1  8    -2.4    -2.9    -2.9 1
-1891  1  9    -5.1    -5.6    -5.6 1
-1891  1 10   -14.8   -15.3   -15.3 1
-1891  1 11    -3.0    -3.5    -3.5 1
-1891  1 12    -5.3    -5.8    -5.8 1
-1891  1 13    -0.1    -0.6    -0.6 1
-1891  1 14    -2.9    -3.4    -3.4 1
-1891  1 15    -8.0    -8.5    -8.5 1
-1891  1 16    -8.0    -8.5    -8.5 1
-1891  1 17    -9.0    -9.5    -9.5 1
-1891  1 18   -12.5   -13.0   -13.0 1
-1891  1 19    -5.0    -5.5    -5.5 1
-1891  1 20    -4.2    -4.7    -4.7 1
-1891  1 21    -2.6    -3.1    -3.1 1
-1891  1 22    -4.4    -4.9    -4.9 1
-1891  1 23    -2.8    -3.3    -3.3 1
-1891  1 24    -2.1    -2.6    -2.6 1
-1891  1 25    -1.9    -2.4    -2.4 1
-1891  1 26    -5.9    -6.4    -6.4 1
-1891  1 27     1.0     0.5     0.5 1
-1891  1 28     2.4     1.9     1.9 1
-1891  1 29     1.2     0.7     0.7 1
-1891  1 30     2.3     1.8     1.8 1
-1891  1 31     0.0    -0.5    -0.5 1
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-1891  2  2     1.2     0.7     0.7 1
-1891  2  3     2.8     2.3     2.3 1
-1891  2  4     1.4     0.9     0.9 1
-1891  2  5    -1.9    -2.4    -2.4 1
-1891  2  6    -2.5    -3.0    -3.0 1
-1891  2  7     0.8     0.3     0.3 1
-1891  2  8     2.7     2.2     2.2 1
-1891  2  9     0.6     0.1     0.1 1
-1891  2 10     1.3     0.8     0.8 1
-1891  2 11     1.8     1.3     1.3 1
-1891  2 12    -3.9    -4.4    -4.4 1
-1891  2 13   -10.1   -10.6   -10.6 1
-1891  2 14    -6.2    -6.7    -6.7 1
-1891  2 15     5.0     4.5     4.5 1
-1891  2 16     2.3     1.8     1.8 1
-1891  2 17     1.9     1.4     1.4 1
-1891  2 18     1.1     0.6     0.6 1
-1891  2 19    -0.6    -1.1    -1.1 1
-1891  2 20     1.0     0.5     0.5 1
-1891  2 21    -0.1    -0.6    -0.6 1
-1891  2 22     0.2    -0.3    -0.3 1
-1891  2 23    -0.2    -0.7    -0.7 1
-1891  2 24     1.1     0.6     0.6 1
-1891  2 25    -0.1    -0.6    -0.6 1
-1891  2 26     0.5     0.0     0.0 1
-1891  2 27     0.6     0.1     0.1 1
-1891  2 28     0.0    -0.5    -0.5 1
-1891  3  1     3.6     3.1     3.1 1
-1891  3  2     6.1     5.6     5.6 1
-1891  3  3     1.8     1.3     1.3 1
-1891  3  4    -1.9    -2.4    -2.4 1
-1891  3  5    -1.3    -1.8    -1.8 1
-1891  3  6    -3.1    -3.6    -3.6 1
-1891  3  7    -5.6    -6.1    -6.1 1
-1891  3  8    -5.1    -5.6    -5.6 1
-1891  3  9    -5.6    -6.1    -6.1 1
-1891  3 10    -4.0    -4.5    -4.5 1
-1891  3 11    -2.0    -2.5    -2.5 1
-1891  3 12     1.2     0.7     0.7 1
-1891  3 13    -3.6    -4.1    -4.1 1
-1891  3 14    -3.3    -3.8    -3.8 1
-1891  3 15    -0.1    -0.6    -0.6 1
-1891  3 16     0.6     0.1     0.1 1
-1891  3 17     0.1    -0.4    -0.4 1
-1891  3 18    -0.7    -1.2    -1.2 1
-1891  3 19    -4.5    -5.0    -5.0 1
-1891  3 20    -5.7    -6.2    -6.2 1
-1891  3 21    -5.0    -5.5    -5.5 1
-1891  3 22    -6.6    -7.1    -7.1 1
-1891  3 23    -5.5    -6.0    -6.0 1
-1891  3 24    -4.6    -5.1    -5.1 1
-1891  3 25    -2.5    -3.0    -3.0 1
-1891  3 26     1.3     0.8     0.8 1
-1891  3 27     1.1     0.6     0.6 1
-1891  3 28     1.3     0.8     0.8 1
-1891  3 29     0.1    -0.4    -0.4 1
-1891  3 30    -1.3    -1.8    -1.8 1
-1891  3 31    -3.2    -3.7    -3.7 1
-1891  4  1    -1.4    -1.9    -1.9 1
-1891  4  2     0.5     0.0     0.0 1
-1891  4  3     0.7     0.2     0.2 1
-1891  4  4    -0.9    -1.4    -1.4 1
-1891  4  5    -2.0    -2.5    -2.5 1
-1891  4  6     0.0    -0.5    -0.5 1
-1891  4  7     0.6     0.1     0.1 1
-1891  4  8     2.0     1.5     1.5 1
-1891  4  9     2.6     2.1     2.1 1
-1891  4 10     3.5     3.0     3.0 1
-1891  4 11     2.7     2.2     2.2 1
-1891  4 12     3.6     3.1     3.1 1
-1891  4 13     2.8     2.3     2.3 1
-1891  4 14     3.1     2.6     2.6 1
-1891  4 15     2.4     1.9     1.9 1
-1891  4 16     3.8     3.3     3.3 1
-1891  4 17     2.8     2.3     2.3 1
-1891  4 18     3.2     2.7     2.7 1
-1891  4 19     4.8     4.3     4.3 1
-1891  4 20     5.5     5.0     5.0 1
-1891  4 21     6.0     5.5     5.5 1
-1891  4 22     5.5     5.0     5.0 1
-1891  4 23     5.2     4.6     4.6 1
-1891  4 24     2.3     1.7     1.7 1
-1891  4 25     7.6     7.0     7.0 1
-1891  4 26     3.0     2.4     2.4 1
-1891  4 27     4.5     3.9     3.9 1
-1891  4 28     5.8     5.2     5.2 1
-1891  4 29     6.7     6.1     6.1 1
-1891  4 30     5.7     5.1     5.1 1
-1891  5  1     8.2     7.6     7.6 1
-1891  5  2    10.9    10.3    10.3 1
-1891  5  3     7.2     6.5     6.5 1
-1891  5  4     6.1     5.4     5.4 1
-1891  5  5     2.0     1.3     1.3 1
-1891  5  6     4.4     3.7     3.7 1
-1891  5  7     7.2     6.5     6.5 1
-1891  5  8     6.8     6.1     6.1 1
-1891  5  9     9.2     8.5     8.5 1
-1891  5 10    10.4     9.7     9.7 1
-1891  5 11     8.3     7.6     7.6 1
-1891  5 12    10.1     9.4     9.4 1
-1891  5 13    14.0    13.2    13.2 1
-1891  5 14     6.4     5.6     5.6 1
-1891  5 15     7.5     6.7     6.7 1
-1891  5 16     6.5     5.7     5.7 1
-1891  5 17     7.1     6.3     6.3 1
-1891  5 18     8.7     7.9     7.9 1
-1891  5 19     8.5     7.8     7.8 1
-1891  5 20     8.3     7.6     7.6 1
-1891  5 21    10.3     9.6     9.6 1
-1891  5 22    12.2    11.5    11.5 1
-1891  5 23     9.1     8.4     8.4 1
-1891  5 24    11.2    10.5    10.5 1
-1891  5 25    12.9    12.2    12.2 1
-1891  5 26    11.5    10.8    10.8 1
-1891  5 27    12.9    12.2    12.2 1
-1891  5 28    13.8    13.1    13.1 1
-1891  5 29    13.7    13.0    13.0 1
-1891  5 30    15.6    14.9    14.9 1
-1891  5 31    14.6    14.0    14.0 1
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-1891  6  2    10.0     9.4     9.4 1
-1891  6  3     4.7     4.1     4.1 1
-1891  6  4     5.2     4.6     4.6 1
-1891  6  5     6.2     5.6     5.6 1
-1891  6  6     5.2     4.6     4.6 1
-1891  6  7     6.1     5.5     5.5 1
-1891  6  8    11.4    10.8    10.8 1
-1891  6  9    14.2    13.6    13.6 1
-1891  6 10     7.9     7.3     7.3 1
-1891  6 11     8.7     8.1     8.1 1
-1891  6 12     7.8     7.3     7.3 1
-1891  6 13     9.9     9.4     9.4 1
-1891  6 14     8.6     8.1     8.1 1
-1891  6 15     8.4     7.9     7.9 1
-1891  6 16    10.3     9.8     9.8 1
-1891  6 17    13.0    12.5    12.5 1
-1891  6 18    16.0    15.5    15.5 1
-1891  6 19    12.9    12.4    12.4 1
-1891  6 20    16.5    16.0    16.0 1
-1891  6 21    16.8    16.3    16.3 1
-1891  6 22    18.5    18.0    18.0 1
-1891  6 23    20.2    19.7    19.7 1
-1891  6 24    21.8    21.3    21.3 1
-1891  6 25    22.7    22.2    22.2 1
-1891  6 26    22.5    22.0    22.0 1
-1891  6 27    23.4    22.9    22.9 1
-1891  6 28    18.3    17.8    17.8 1
-1891  6 29    16.9    16.4    16.4 1
-1891  6 30    18.2    17.7    17.7 1
-1891  7  1    19.1    18.6    18.6 1
-1891  7  2    17.7    17.2    17.2 1
-1891  7  3    17.8    17.3    17.3 1
-1891  7  4    19.0    18.5    18.5 1
-1891  7  5    17.6    17.1    17.1 1
-1891  7  6    19.0    18.5    18.5 1
-1891  7  7    18.6    18.1    18.1 1
-1891  7  8    15.5    15.0    15.0 1
-1891  7  9    14.2    13.7    13.7 1
-1891  7 10    15.4    14.9    14.9 1
-1891  7 11    16.1    15.6    15.6 1
-1891  7 12    18.2    17.7    17.7 1
-1891  7 13    18.6    18.1    18.1 1
-1891  7 14    20.0    19.5    19.5 1
-1891  7 15    19.9    19.3    19.3 1
-1891  7 16    21.2    20.7    20.7 1
-1891  7 17    18.6    18.1    18.1 1
-1891  7 18    18.8    18.3    18.3 1
-1891  7 19    19.8    19.3    19.3 1
-1891  7 20    21.1    20.6    20.6 1
-1891  7 21    20.5    20.0    20.0 1
-1891  7 22    20.8    20.3    20.3 1
-1891  7 23    19.8    19.3    19.3 1
-1891  7 24    20.2    19.7    19.7 1
-1891  7 25    16.2    15.7    15.7 1
-1891  7 26    15.6    15.1    15.1 1
-1891  7 27    17.9    17.4    17.4 1
-1891  7 28    17.4    16.9    16.9 1
-1891  7 29    16.1    15.6    15.6 1
-1891  7 30    16.0    15.5    15.5 1
-1891  7 31    17.3    16.8    16.8 1
-1891  8  1    19.4    18.9    18.9 1
-1891  8  2    18.0    17.5    17.5 1
-1891  8  3    17.4    16.9    16.9 1
-1891  8  4    17.2    16.7    16.7 1
-1891  8  5    14.0    13.5    13.5 1
-1891  8  6    13.6    13.1    13.1 1
-1891  8  7    13.3    12.8    12.8 1
-1891  8  8    13.2    12.7    12.7 1
-1891  8  9    12.9    12.4    12.4 1
-1891  8 10    13.4    12.9    12.9 1
-1891  8 11    13.4    12.9    12.9 1
-1891  8 12    14.2    13.7    13.7 1
-1891  8 13    14.2    13.7    13.7 1
-1891  8 14    14.7    14.2    14.2 1
-1891  8 15    16.1    15.6    15.6 1
-1891  8 16    15.7    15.2    15.2 1
-1891  8 17    15.4    14.9    14.9 1
-1891  8 18    15.2    14.7    14.7 1
-1891  8 19    15.1    14.6    14.6 1
-1891  8 20    14.7    14.2    14.2 1
-1891  8 21    14.1    13.6    13.6 1
-1891  8 22    12.8    12.3    12.3 1
-1891  8 23    14.0    13.5    13.5 1
-1891  8 24    14.4    13.9    13.9 1
-1891  8 25    13.9    13.5    13.5 1
-1891  8 26    16.4    16.0    16.0 1
-1891  8 27    17.0    16.6    16.6 1
-1891  8 28    18.4    18.0    18.0 1
-1891  8 29    14.6    14.2    14.2 1
-1891  8 30    12.2    11.8    11.8 1
-1891  8 31    11.5    11.1    11.1 1
-1891  9  1    15.5    15.1    15.1 1
-1891  9  2    15.8    15.4    15.4 1
-1891  9  3    14.8    14.4    14.4 1
-1891  9  4    12.3    11.9    11.9 1
-1891  9  5    11.0    10.6    10.6 1
-1891  9  6    13.0    12.6    12.6 1
-1891  9  7    12.8    12.5    12.5 1
-1891  9  8    12.6    12.3    12.3 1
-1891  9  9    12.3    12.0    12.0 1
-1891  9 10    15.1    14.8    14.8 1
-1891  9 11    12.1    11.8    11.8 1
-1891  9 12     9.8     9.5     9.5 1
-1891  9 13    14.4    14.1    14.1 1
-1891  9 14    14.7    14.4    14.4 1
-1891  9 15    13.2    12.9    12.9 1
-1891  9 16    10.7    10.4    10.4 1
-1891  9 17     9.7     9.4     9.4 1
-1891  9 18     9.1     8.8     8.8 1
-1891  9 19    12.0    11.7    11.7 1
-1891  9 20    12.7    12.4    12.4 1
-1891  9 21     8.8     8.5     8.5 1
-1891  9 22     6.2     5.9     5.9 1
-1891  9 23     6.2     5.9     5.9 1
-1891  9 24     7.6     7.3     7.3 1
-1891  9 25    11.2    10.9    10.9 1
-1891  9 26    12.6    12.4    12.4 1
-1891  9 27    11.6    11.4    11.4 1
-1891  9 28    11.7    11.5    11.5 1
-1891  9 29    12.0    11.8    11.8 1
-1891  9 30    13.6    13.4    13.4 1
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-1891 10  5     9.1     8.9     8.9 1
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-1891 10  7    11.9    11.7    11.7 1
-1891 10  8    12.5    12.3    12.3 1
-1891 10  9    12.7    12.5    12.5 1
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-1891 10 11    11.9    11.7    11.7 1
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-1891 10 14    12.2    12.0    12.0 1
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-1891 10 17    11.0    10.8    10.8 1
-1891 10 18     9.4     9.2     9.2 1
-1891 10 19     6.7     6.5     6.5 1
-1891 10 20     8.0     7.8     7.8 1
-1891 10 21     5.5     5.3     5.3 1
-1891 10 22     9.0     8.8     8.8 1
-1891 10 23    11.6    11.4    11.4 1
-1891 10 24    10.0     9.8     9.8 1
-1891 10 25     4.3     4.1     4.1 1
-1891 10 26     2.2     2.0     2.0 1
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-1891 10 28     0.5     0.3     0.3 1
-1891 10 29    -0.3    -0.5    -0.5 1
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-1891 10 31     8.1     7.9     7.9 1
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-1891 11  4    -0.4    -0.7    -0.7 1
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-1891 11  7     4.2     3.9     3.9 1
-1891 11  8     4.2     3.9     3.9 1
-1891 11  9     4.1     3.8     3.8 1
-1891 11 10     5.2     4.9     4.9 1
-1891 11 11     5.0     4.7     4.7 1
-1891 11 12     5.1     4.8     4.8 1
-1891 11 13     2.3     2.0     2.0 1
-1891 11 14     2.6     2.3     2.3 1
-1891 11 15     0.4     0.1     0.1 1
-1891 11 16     0.3     0.0     0.0 1
-1891 11 17    -0.1    -0.4    -0.4 1
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-1892  2 28    -5.9    -6.4    -6.4 1
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-1892  3 23     2.4     1.9     1.9 1
-1892  3 24     2.8     2.3     2.3 1
-1892  3 25     5.0     4.5     4.5 1
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-1892  3 28    -1.3    -1.8    -1.8 1
-1892  3 29    -0.9    -1.4    -1.4 1
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-1892  3 31     3.3     2.8     2.8 1
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-1892  4 25     6.8     6.2     6.2 1
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-1892  4 27     2.6     2.0     2.0 1
-1892  4 28     4.4     3.8     3.8 1
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-1892  4 30     5.9     5.3     5.3 1
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-1892  5  8     6.5     5.8     5.8 1
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-1892  5 11     6.5     5.8     5.8 1
-1892  5 12     8.6     7.9     7.9 1
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-1892  5 17     7.4     6.6     6.6 1
-1892  5 18     3.6     2.8     2.8 1
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-1892  5 20     7.8     7.1     7.1 1
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-1892  6 28    16.5    16.0    16.0 1
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-1892  7 12    13.2    12.7    12.7 1
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-1892  8 28    15.9    15.5    15.5 1
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-1892 11 27    -1.4    -1.7    -1.7 1
-1892 11 28     5.2     4.9     4.9 1
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-1893  1  8    -5.4    -5.9    -5.9 1
-1893  1  9    -9.2    -9.7    -9.7 1
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-1893  1 11    -9.4    -9.9    -9.9 1
-1893  1 12   -11.8   -12.3   -12.3 1
-1893  1 13   -13.2   -13.7   -13.7 1
-1893  1 14   -16.9   -17.4   -17.4 1
-1893  1 15   -19.6   -20.1   -20.1 1
-1893  1 16   -18.4   -18.9   -18.9 1
-1893  1 17   -13.8   -14.3   -14.3 1
-1893  1 18   -12.0   -12.5   -12.5 1
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-1893  1 21    -2.8    -3.3    -3.3 1
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-1893  1 23   -10.3   -10.8   -10.8 1
-1893  1 24    -5.9    -6.4    -6.4 1
-1893  1 25     0.2    -0.3    -0.3 1
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-1893  1 28    -1.7    -2.2    -2.2 1
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-1893  1 31    -3.0    -3.5    -3.5 1
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-1893  2  4   -12.0   -12.5   -12.5 1
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-1893  2  6    -4.5    -5.0    -5.0 1
-1893  2  7    -2.7    -3.2    -3.2 1
-1893  2  8    -9.6   -10.1   -10.1 1
-1893  2  9    -9.0    -9.5    -9.5 1
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-1893  2 11   -20.4   -20.9   -20.9 1
-1893  2 12   -18.8   -19.3   -19.3 1
-1893  2 13   -20.0   -20.5   -20.5 1
-1893  2 14   -17.4   -17.9   -17.9 1
-1893  2 15   -12.4   -12.9   -12.9 1
-1893  2 16    -8.9    -9.4    -9.4 1
-1893  2 17    -2.2    -2.7    -2.7 1
-1893  2 18     0.9     0.4     0.4 1
-1893  2 19    -8.8    -9.3    -9.3 1
-1893  2 20   -12.8   -13.3   -13.3 1
-1893  2 21   -14.0   -14.5   -14.5 1
-1893  2 22   -14.7   -15.2   -15.2 1
-1893  2 23   -15.0   -15.5   -15.5 1
-1893  2 24    -9.1    -9.6    -9.6 1
-1893  2 25    -9.0    -9.5    -9.5 1
-1893  2 26    -5.4    -5.9    -5.9 1
-1893  2 27    -1.7    -2.2    -2.2 1
-1893  2 28     0.9     0.4     0.4 1
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-1893  3  3    -3.5    -4.0    -4.0 1
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-1893  3  7     0.2    -0.3    -0.3 1
-1893  3  8   -10.7   -11.2   -11.2 1
-1893  3  9    -6.7    -7.2    -7.2 1
-1893  3 10     1.6     1.1     1.1 1
-1893  3 11    -2.0    -2.5    -2.5 1
-1893  3 12     2.5     2.0     2.0 1
-1893  3 13     0.9     0.4     0.4 1
-1893  3 14     1.5     1.0     1.0 1
-1893  3 15     4.3     3.8     3.8 1
-1893  3 16     3.2     2.7     2.7 1
-1893  3 17    -1.5    -2.0    -2.0 1
-1893  3 18    -5.1    -5.6    -5.6 1
-1893  3 19    -5.0    -5.5    -5.5 1
-1893  3 20    -3.2    -3.7    -3.7 1
-1893  3 21     1.4     0.9     0.9 1
-1893  3 22     4.6     4.1     4.1 1
-1893  3 23     5.2     4.7     4.7 1
-1893  3 24     1.3     0.8     0.8 1
-1893  3 25    -0.4    -0.9    -0.9 1
-1893  3 26    -0.7    -1.2    -1.2 1
-1893  3 27     2.8     2.3     2.3 1
-1893  3 28     6.3     5.8     5.8 1
-1893  3 29     4.5     4.0     4.0 1
-1893  3 30    -0.4    -0.9    -0.9 1
-1893  3 31     1.3     0.8     0.8 1
-1893  4  1     4.6     4.1     4.1 1
-1893  4  2     4.9     4.4     4.4 1
-1893  4  3     6.1     5.6     5.6 1
-1893  4  4     2.8     2.3     2.3 1
-1893  4  5     5.3     4.8     4.8 1
-1893  4  6     9.0     8.5     8.5 1
-1893  4  7     7.4     6.9     6.9 1
-1893  4  8     7.9     7.4     7.4 1
-1893  4  9     9.8     9.3     9.3 1
-1893  4 10     6.8     6.3     6.3 1
-1893  4 11     2.0     1.5     1.5 1
-1893  4 12     2.6     2.1     2.1 1
-1893  4 13     0.6     0.1     0.1 1
-1893  4 14     4.7     4.2     4.2 1
-1893  4 15     5.3     4.8     4.8 1
-1893  4 16     2.8     2.3     2.3 1
-1893  4 17     0.9     0.4     0.4 1
-1893  4 18     1.1     0.6     0.6 1
-1893  4 19     3.7     3.2     3.2 1
-1893  4 20     1.1     0.6     0.6 1
-1893  4 21     4.5     4.0     4.0 1
-1893  4 22     7.4     6.9     6.9 1
-1893  4 23     8.7     8.1     8.1 1
-1893  4 24     5.6     5.0     5.0 1
-1893  4 25     5.8     5.2     5.2 1
-1893  4 26     4.1     3.5     3.5 1
-1893  4 27     1.9     1.3     1.3 1
-1893  4 28     2.3     1.7     1.7 1
-1893  4 29     3.7     3.1     3.1 1
-1893  4 30     1.9     1.3     1.3 1
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-1893  5  2     2.1     1.5     1.5 1
-1893  5  3     1.4     0.7     0.7 1
-1893  5  4     3.0     2.3     2.3 1
-1893  5  5     3.1     2.4     2.4 1
-1893  5  6     4.2     3.5     3.5 1
-1893  5  7     7.1     6.4     6.4 1
-1893  5  8     9.1     8.4     8.4 1
-1893  5  9     8.8     8.1     8.1 1
-1893  5 10     7.1     6.4     6.4 1
-1893  5 11    10.3     9.6     9.6 1
-1893  5 12    13.3    12.6    12.6 1
-1893  5 13     9.3     8.5     8.5 1
-1893  5 14     9.6     8.8     8.8 1
-1893  5 15     9.7     8.9     8.9 1
-1893  5 16     5.4     4.6     4.6 1
-1893  5 17     5.6     4.8     4.8 1
-1893  5 18     5.8     5.0     5.0 1
-1893  5 19     6.6     5.9     5.9 1
-1893  5 20     8.3     7.6     7.6 1
-1893  5 21     9.8     9.1     9.1 1
-1893  5 22    12.4    11.7    11.7 1
-1893  5 23    11.4    10.7    10.7 1
-1893  5 24    11.0    10.3    10.3 1
-1893  5 25    12.8    12.1    12.1 1
-1893  5 26    11.7    11.0    11.0 1
-1893  5 27     9.7     9.0     9.0 1
-1893  5 28     9.7     9.0     9.0 1
-1893  5 29     8.8     8.1     8.1 1
-1893  5 30     6.7     6.0     6.0 1
-1893  5 31     7.7     7.1     7.1 1
-1893  6  1     8.0     7.4     7.4 1
-1893  6  2    10.2     9.6     9.6 1
-1893  6  3    13.0    12.4    12.4 1
-1893  6  4    11.6    11.0    11.0 1
-1893  6  5    13.1    12.5    12.5 1
-1893  6  6    15.0    14.4    14.4 1
-1893  6  7    15.2    14.6    14.6 1
-1893  6  8    14.7    14.1    14.1 1
-1893  6  9    16.6    16.0    16.0 1
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-1893  6 11    13.8    13.2    13.2 1
-1893  6 12    15.0    14.5    14.5 1
-1893  6 13    15.9    15.4    15.4 1
-1893  6 14    14.4    13.9    13.9 1
-1893  6 15    17.3    16.8    16.8 1
-1893  6 16    18.4    17.9    17.9 1
-1893  6 17    17.7    17.2    17.2 1
-1893  6 18    15.4    14.9    14.9 1
-1893  6 19    13.4    12.9    12.9 1
-1893  6 20    10.3     9.8     9.8 1
-1893  6 21    12.4    11.9    11.9 1
-1893  6 22    11.6    11.1    11.1 1
-1893  6 23    13.6    13.1    13.1 1
-1893  6 24    13.3    12.8    12.8 1
-1893  6 25    15.0    14.5    14.5 1
-1893  6 26    15.9    15.4    15.4 1
-1893  6 27    16.2    15.7    15.7 1
-1893  6 28    17.3    16.8    16.8 1
-1893  6 29    15.3    14.8    14.8 1
-1893  6 30    18.2    17.7    17.7 1
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-1893  7  5    15.4    14.9    14.9 1
-1893  7  6    17.4    16.9    16.9 1
-1893  7  7    18.9    18.4    18.4 1
-1893  7  8    18.6    18.1    18.1 1
-1893  7  9    18.9    18.4    18.4 1
-1893  7 10    20.3    19.8    19.8 1
-1893  7 11    15.7    15.2    15.2 1
-1893  7 12    19.6    19.1    19.1 1
-1893  7 13    12.1    11.6    11.6 1
-1893  7 14    13.4    12.9    12.9 1
-1893  7 15    17.1    16.5    16.5 1
-1893  7 16    17.8    17.3    17.3 1
-1893  7 17    16.5    16.0    16.0 1
-1893  7 18    17.6    17.1    17.1 1
-1893  7 19    19.3    18.8    18.8 1
-1893  7 20    20.2    19.7    19.7 1
-1893  7 21    19.7    19.2    19.2 1
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-1893  7 23    17.7    17.2    17.2 1
-1893  7 24    17.4    16.9    16.9 1
-1893  7 25    16.6    16.1    16.1 1
-1893  7 26    16.9    16.4    16.4 1
-1893  7 27    18.2    17.7    17.7 1
-1893  7 28    16.5    16.0    16.0 1
-1893  7 29    17.8    17.3    17.3 1
-1893  7 30    16.9    16.4    16.4 1
-1893  7 31    17.4    16.9    16.9 1
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-1893  8  3    16.4    15.9    15.9 1
-1893  8  4    17.4    16.9    16.9 1
-1893  8  5    19.3    18.8    18.8 1
-1893  8  6    17.9    17.4    17.4 1
-1893  8  7    16.2    15.7    15.7 1
-1893  8  8    16.4    15.9    15.9 1
-1893  8  9    18.1    17.6    17.6 1
-1893  8 10    18.8    18.3    18.3 1
-1893  8 11    17.9    17.4    17.4 1
-1893  8 12    19.5    19.0    19.0 1
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-1893  8 14    13.0    12.5    12.5 1
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-1893  8 16    13.4    12.9    12.9 1
-1893  8 17    11.2    10.7    10.7 1
-1893  8 18    15.0    14.5    14.5 1
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-1893  8 21    19.0    18.5    18.5 1
-1893  8 22    18.5    18.0    18.0 1
-1893  8 23    17.0    16.5    16.5 1
-1893  8 24    15.1    14.6    14.6 1
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-1893  8 26    12.3    11.9    11.9 1
-1893  8 27    12.8    12.4    12.4 1
-1893  8 28    11.6    11.2    11.2 1
-1893  8 29    11.7    11.3    11.3 1
-1893  8 30     9.3     8.9     8.9 1
-1893  8 31     7.8     7.4     7.4 1
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-1893  9  2     9.5     9.1     9.1 1
-1893  9  3     9.0     8.6     8.6 1
-1893  9  4    11.9    11.5    11.5 1
-1893  9  5    10.4    10.0    10.0 1
-1893  9  6    10.2     9.8     9.8 1
-1893  9  7    13.6    13.3    13.3 1
-1893  9  8    14.0    13.7    13.7 1
-1893  9  9     9.9     9.6     9.6 1
-1893  9 10     7.2     6.9     6.9 1
-1893  9 11     8.9     8.6     8.6 1
-1893  9 12    12.1    11.8    11.8 1
-1893  9 13    12.0    11.7    11.7 1
-1893  9 14    10.5    10.2    10.2 1
-1893  9 15    12.6    12.3    12.3 1
-1893  9 16    13.9    13.6    13.6 1
-1893  9 17     7.0     6.7     6.7 1
-1893  9 18     6.6     6.3     6.3 1
-1893  9 19    13.1    12.8    12.8 1
-1893  9 20    13.9    13.6    13.6 1
-1893  9 21    11.4    11.1    11.1 1
-1893  9 22    10.9    10.6    10.6 1
-1893  9 23    10.1     9.8     9.8 1
-1893  9 24     8.8     8.5     8.5 1
-1893  9 25     8.5     8.2     8.2 1
-1893  9 26     5.4     5.2     5.2 1
-1893  9 27     6.0     5.8     5.8 1
-1893  9 28     6.4     6.2     6.2 1
-1893  9 29     8.7     8.5     8.5 1
-1893  9 30    11.7    11.5    11.5 1
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-1893 10  6     9.7     9.5     9.5 1
-1893 10  7    10.3    10.1    10.1 1
-1893 10  8    10.5    10.3    10.3 1
-1893 10  9     8.3     8.1     8.1 1
-1893 10 10    11.0    10.8    10.8 1
-1893 10 11    10.1     9.9     9.9 1
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-1893 10 14     7.6     7.4     7.4 1
-1893 10 15     4.7     4.5     4.5 1
-1893 10 16     4.6     4.4     4.4 1
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-1893 10 18     1.7     1.5     1.5 1
-1893 10 19     3.7     3.5     3.5 1
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-1893 10 23     5.4     5.2     5.2 1
-1893 10 24     3.2     3.0     3.0 1
-1893 10 25     7.9     7.7     7.7 1
-1893 10 26     8.0     7.8     7.8 1
-1893 10 27     4.9     4.7     4.7 1
-1893 10 28     5.9     5.7     5.7 1
-1893 10 29     5.6     5.4     5.4 1
-1893 10 30     4.6     4.4     4.4 1
-1893 10 31     2.7     2.5     2.5 1
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-1893 11  8    -1.0    -1.3    -1.3 1
-1893 11  9     3.4     3.1     3.1 1
-1893 11 10     2.0     1.7     1.7 1
-1893 11 11     4.7     4.4     4.4 1
-1893 11 12     4.2     3.9     3.9 1
-1893 11 13     3.2     2.9     2.9 1
-1893 11 14     2.7     2.4     2.4 1
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-1893 11 25     0.5     0.2     0.2 1
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-1893 11 28     1.8     1.5     1.5 1
-1893 11 29     4.0     3.7     3.7 1
-1893 11 30     6.4     6.1     6.1 1
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-1893 12 31     1.6     1.2     1.2 1
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-1894  1 17     2.3     1.8     1.8 1
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-1894  1 26     1.5     1.0     1.0 1
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-1894  1 28     2.8     2.3     2.3 1
-1894  1 29     1.7     1.2     1.2 1
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-1894  1 31     1.9     1.4     1.4 1
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-1894  2  7     5.3     4.8     4.8 1
-1894  2  8     2.9     2.4     2.4 1
-1894  2  9     4.8     4.3     4.3 1
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-1894  2 24    -0.3    -0.8    -0.8 1
-1894  2 25     0.6     0.1     0.1 1
-1894  2 26     1.2     0.7     0.7 1
-1894  2 27     1.4     0.9     0.9 1
-1894  2 28     2.9     2.4     2.4 1
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-1894  3  2     3.2     2.7     2.7 1
-1894  3  3     4.5     4.0     4.0 1
-1894  3  4     1.2     0.7     0.7 1
-1894  3  5     0.9     0.4     0.4 1
-1894  3  6     1.0     0.5     0.5 1
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-1894  3  9    -0.8    -1.3    -1.3 1
-1894  3 10     0.3    -0.2    -0.2 1
-1894  3 11     1.3     0.8     0.8 1
-1894  3 12     2.9     2.4     2.4 1
-1894  3 13     3.4     2.9     2.9 1
-1894  3 14     4.5     4.0     4.0 1
-1894  3 15     2.7     2.2     2.2 1
-1894  3 16    -0.8    -1.3    -1.3 1
-1894  3 17     0.1    -0.4    -0.4 1
-1894  3 18     1.1     0.6     0.6 1
-1894  3 19     4.2     3.7     3.7 1
-1894  3 20     4.0     3.5     3.5 1
-1894  3 21     6.0     5.5     5.5 1
-1894  3 22     7.0     6.5     6.5 1
-1894  3 23     5.9     5.4     5.4 1
-1894  3 24     7.7     7.2     7.2 1
-1894  3 25     6.8     6.3     6.3 1
-1894  3 26     6.5     6.0     6.0 1
-1894  3 27     2.2     1.7     1.7 1
-1894  3 28     5.2     4.7     4.7 1
-1894  3 29     6.5     6.0     6.0 1
-1894  3 30     8.0     7.5     7.5 1
-1894  3 31     7.3     6.8     6.8 1
-1894  4  1     6.5     6.0     6.0 1
-1894  4  2     5.0     4.5     4.5 1
-1894  4  3     2.9     2.4     2.4 1
-1894  4  4     2.5     2.0     2.0 1
-1894  4  5     5.4     4.9     4.9 1
-1894  4  6     2.0     1.5     1.5 1
-1894  4  7     4.1     3.6     3.6 1
-1894  4  8     3.6     3.1     3.1 1
-1894  4  9     5.8     5.3     5.3 1
-1894  4 10     6.3     5.8     5.8 1
-1894  4 11     5.7     5.2     5.2 1
-1894  4 12     5.0     4.5     4.5 1
-1894  4 13     6.3     5.8     5.8 1
-1894  4 14     8.4     7.9     7.9 1
-1894  4 15     9.9     9.4     9.4 1
-1894  4 16     9.9     9.4     9.4 1
-1894  4 17    10.1     9.6     9.6 1
-1894  4 18    10.8    10.3    10.3 1
-1894  4 19     4.4     3.9     3.9 1
-1894  4 20     2.6     2.1     2.1 1
-1894  4 21     1.8     1.3     1.3 1
-1894  4 22     3.3     2.8     2.8 1
-1894  4 23     6.1     5.5     5.5 1
-1894  4 24     7.7     7.1     7.1 1
-1894  4 25     7.9     7.3     7.3 1
-1894  4 26     7.4     6.8     6.8 1
-1894  4 27    10.5     9.9     9.9 1
-1894  4 28    11.3    10.7    10.7 1
-1894  4 29     8.8     8.2     8.2 1
-1894  4 30    10.0     9.4     9.4 1
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-1894  5  3    12.3    11.6    11.6 1
-1894  5  4     9.7     9.0     9.0 1
-1894  5  5     6.0     5.3     5.3 1
-1894  5  6     7.2     6.5     6.5 1
-1894  5  7     9.3     8.6     8.6 1
-1894  5  8     9.1     8.4     8.4 1
-1894  5  9    10.1     9.4     9.4 1
-1894  5 10    11.9    11.2    11.2 1
-1894  5 11    12.2    11.5    11.5 1
-1894  5 12    13.6    12.9    12.9 1
-1894  5 13    14.0    13.2    13.2 1
-1894  5 14    14.1    13.3    13.3 1
-1894  5 15    13.8    13.0    13.0 1
-1894  5 16    16.9    16.1    16.1 1
-1894  5 17     8.1     7.3     7.3 1
-1894  5 18     8.2     7.4     7.4 1
-1894  5 19     3.9     3.2     3.2 1
-1894  5 20     6.6     5.9     5.9 1
-1894  5 21     7.6     6.9     6.9 1
-1894  5 22     8.1     7.4     7.4 1
-1894  5 23    10.8    10.1    10.1 1
-1894  5 24     9.9     9.2     9.2 1
-1894  5 25     9.4     8.7     8.7 1
-1894  5 26     9.2     8.5     8.5 1
-1894  5 27     8.7     8.0     8.0 1
-1894  5 28     5.6     4.9     4.9 1
-1894  5 29     7.1     6.4     6.4 1
-1894  5 30     6.4     5.7     5.7 1
-1894  5 31     8.2     7.6     7.6 1
-1894  6  1    10.9    10.3    10.3 1
-1894  6  2    10.4     9.8     9.8 1
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-1894  6  4    10.7    10.1    10.1 1
-1894  6  5    10.4     9.8     9.8 1
-1894  6  6     7.9     7.3     7.3 1
-1894  6  7     9.2     8.6     8.6 1
-1894  6  8     9.0     8.4     8.4 1
-1894  6  9     9.4     8.8     8.8 1
-1894  6 10     9.3     8.7     8.7 1
-1894  6 11     9.7     9.1     9.1 1
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-1894  6 17    15.2    14.7    14.7 1
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-1894  6 19    17.7    17.2    17.2 1
-1894  6 20    19.3    18.8    18.8 1
-1894  6 21    19.6    19.1    19.1 1
-1894  6 22    18.3    17.8    17.8 1
-1894  6 23    15.8    15.3    15.3 1
-1894  6 24    16.4    15.9    15.9 1
-1894  6 25    11.1    10.6    10.6 1
-1894  6 26    12.5    12.0    12.0 1
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-1894  6 28    20.0    19.5    19.5 1
-1894  6 29    22.2    21.7    21.7 1
-1894  6 30    20.7    20.2    20.2 1
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-1894  7  3    16.4    15.9    15.9 1
-1894  7  4    15.6    15.1    15.1 1
-1894  7  5    18.9    18.4    18.4 1
-1894  7  6    18.4    17.9    17.9 1
-1894  7  7    20.3    19.8    19.8 1
-1894  7  8    20.0    19.5    19.5 1
-1894  7  9    19.7    19.2    19.2 1
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-1894  7 11    20.0    19.5    19.5 1
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-1894  7 17    16.4    15.9    15.9 1
-1894  7 18    16.8    16.3    16.3 1
-1894  7 19    16.3    15.8    15.8 1
-1894  7 20    15.5    15.0    15.0 1
-1894  7 21    17.3    16.8    16.8 1
-1894  7 22    16.4    15.9    15.9 1
-1894  7 23    18.2    17.7    17.7 1
-1894  7 24    15.7    15.2    15.2 1
-1894  7 25    16.9    16.4    16.4 1
-1894  7 26    16.9    16.4    16.4 1
-1894  7 27    17.0    16.5    16.5 1
-1894  7 28    18.7    18.2    18.2 1
-1894  7 29    19.0    18.5    18.5 1
-1894  7 30    15.8    15.3    15.3 1
-1894  7 31    14.8    14.3    14.3 1
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-1894  8  4    18.4    17.9    17.9 1
-1894  8  5    18.2    17.7    17.7 1
-1894  8  6    17.9    17.4    17.4 1
-1894  8  7    16.3    15.8    15.8 1
-1894  8  8    16.7    16.2    16.2 1
-1894  8  9    17.5    17.0    17.0 1
-1894  8 10    16.5    16.0    16.0 1
-1894  8 11    16.1    15.6    15.6 1
-1894  8 12    13.8    13.3    13.3 1
-1894  8 13    15.8    15.3    15.3 1
-1894  8 14    17.7    17.2    17.2 1
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-1894  8 16    17.5    17.0    17.0 1
-1894  8 17    16.2    15.7    15.7 1
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-1894  8 19    15.1    14.6    14.6 1
-1894  8 20    15.5    15.0    15.0 1
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-1894  8 22    14.5    14.0    14.0 1
-1894  8 23    15.4    14.9    14.9 1
-1894  8 24    15.2    14.7    14.7 1
-1894  8 25    11.9    11.5    11.5 1
-1894  8 26    13.5    13.1    13.1 1
-1894  8 27    13.1    12.7    12.7 1
-1894  8 28    11.8    11.4    11.4 1
-1894  8 29    12.1    11.7    11.7 1
-1894  8 30    14.3    13.9    13.9 1
-1894  8 31    13.7    13.3    13.3 1
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-1894  9  4    11.4    11.0    11.0 1
-1894  9  5     9.7     9.3     9.3 1
-1894  9  6     9.9     9.5     9.5 1
-1894  9  7    12.4    12.1    12.1 1
-1894  9  8    11.0    10.7    10.7 1
-1894  9  9     9.5     9.2     9.2 1
-1894  9 10     9.9     9.6     9.6 1
-1894  9 11    12.7    12.4    12.4 1
-1894  9 12    12.6    12.3    12.3 1
-1894  9 13     7.4     7.1     7.1 1
-1894  9 14     8.1     7.8     7.8 1
-1894  9 15    14.1    13.8    13.8 1
-1894  9 16     8.4     8.1     8.1 1
-1894  9 17    10.3    10.0    10.0 1
-1894  9 18    11.3    11.0    11.0 1
-1894  9 19     8.5     8.2     8.2 1
-1894  9 20     6.6     6.3     6.3 1
-1894  9 21     7.9     7.6     7.6 1
-1894  9 22    10.0     9.7     9.7 1
-1894  9 23     7.3     7.0     7.0 1
-1894  9 24     5.0     4.7     4.7 1
-1894  9 25     6.4     6.1     6.1 1
-1894  9 26     8.1     7.9     7.9 1
-1894  9 27     6.3     6.1     6.1 1
-1894  9 28     7.2     7.0     7.0 1
-1894  9 29     7.5     7.3     7.3 1
-1894  9 30     8.2     8.0     8.0 1
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-1894 10  6     9.0     8.8     8.8 1
-1894 10  7     9.2     9.0     9.0 1
-1894 10  8     9.1     8.9     8.9 1
-1894 10  9     9.7     9.5     9.5 1
-1894 10 10     9.6     9.4     9.4 1
-1894 10 11     9.8     9.6     9.6 1
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-1894 10 23    -0.3    -0.5    -0.5 1
-1894 10 24     1.3     1.1     1.1 1
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-1894 10 26     5.3     5.1     5.1 1
-1894 10 27     1.5     1.3     1.3 1
-1894 10 28    -0.4    -0.6    -0.6 1
-1894 10 29    -2.2    -2.4    -2.4 1
-1894 10 30     1.6     1.4     1.4 1
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-1894 11  4     7.7     7.4     7.4 1
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-1894 11 24     1.4     1.1     1.1 1
-1894 11 25     0.6     0.3     0.3 1
-1894 11 26     2.8     2.5     2.5 1
-1894 11 27     0.5     0.2     0.2 1
-1894 11 28     2.3     2.0     2.0 1
-1894 11 29     4.8     4.5     4.5 1
-1894 11 30     3.9     3.6     3.6 1
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-1894 12  9     2.2     1.9     1.9 1
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-1894 12 12    -0.3    -0.6    -0.6 1
-1894 12 13     3.6     3.3     3.3 1
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-1895  1 28   -10.3   -10.8   -10.8 1
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-1895  2  5   -18.9   -19.4   -19.4 1
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-1895  2  7   -11.7   -12.2   -12.2 1
-1895  2  8   -13.8   -14.3   -14.3 1
-1895  2  9   -11.3   -11.8   -11.8 1
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-1895  2 11   -11.4   -11.9   -11.9 1
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-1895  2 25   -11.0   -11.5   -11.5 1
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-1895  3  7    -9.1    -9.6    -9.6 1
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-1895  3 16     1.0     0.5     0.5 1
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-1895  3 21    -6.1    -6.6    -6.6 1
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-1895  3 24    -1.0    -1.5    -1.5 1
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-1895  3 29     2.4     1.9     1.9 1
-1895  3 30     1.0     0.5     0.5 1
-1895  3 31     1.6     1.1     1.1 1
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-1895  4 12     0.6     0.1     0.1 1
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-1895  4 18     4.7     4.2     4.2 1
-1895  4 19     5.8     5.3     5.3 1
-1895  4 20     7.0     6.5     6.5 1
-1895  4 21     6.1     5.6     5.6 1
-1895  4 22     5.1     4.6     4.6 1
-1895  4 23     5.1     4.5     4.5 1
-1895  4 24     6.2     5.6     5.6 1
-1895  4 25     6.9     6.3     6.3 1
-1895  4 26     7.3     6.7     6.7 1
-1895  4 27    11.4    10.8    10.8 1
-1895  4 28     8.4     7.8     7.8 1
-1895  4 29    11.6    11.0    11.0 1
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-1895  5 22    13.2    12.5    12.5 1
-1895  5 23    14.9    14.2    14.2 1
-1895  5 24    16.3    15.6    15.6 1
-1895  5 25    13.8    13.1    13.1 1
-1895  5 26     8.2     7.5     7.5 1
-1895  5 27    10.4     9.7     9.7 1
-1895  5 28     9.6     8.9     8.9 1
-1895  5 29    13.9    13.2    13.2 1
-1895  5 30    14.2    13.5    13.5 1
-1895  5 31    12.7    12.1    12.1 1
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-1895  6  6    16.8    16.2    16.2 1
-1895  6  7    18.2    17.6    17.6 1
-1895  6  8    16.0    15.4    15.4 1
-1895  6  9    18.4    17.8    17.8 1
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-1895  6 18    15.9    15.4    15.4 1
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-1895  6 20    19.9    19.4    19.4 1
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-1895  6 22    19.5    19.0    19.0 1
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-1895  6 24    15.3    14.8    14.8 1
-1895  6 25    10.1     9.6     9.6 1
-1895  6 26    13.4    12.9    12.9 1
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-1895  6 28    15.5    15.0    15.0 1
-1895  6 29    17.0    16.5    16.5 1
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-1895  7  7    18.0    17.5    17.5 1
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-1895  7  9    15.9    15.4    15.4 1
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-1895  7 23    17.0    16.5    16.5 1
-1895  7 24    16.4    15.9    15.9 1
-1895  7 25    17.2    16.7    16.7 1
-1895  7 26    15.1    14.6    14.6 1
-1895  7 27    15.2    14.7    14.7 1
-1895  7 28    15.2    14.7    14.7 1
-1895  7 29    13.5    13.0    13.0 1
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-1895  7 31    15.1    14.6    14.6 1
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-1895  8 28    14.9    14.5    14.5 1
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-1895  9 20     8.8     8.5     8.5 1
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-1895  9 28    13.4    13.2    13.2 1
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-1896 12 31     1.7     1.3     1.3 1
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-1897  1 24    -9.0    -9.5    -9.5 1
-1897  1 25   -10.7   -11.2   -11.2 1
-1897  1 26   -13.5   -14.0   -14.0 1
-1897  1 27    -8.8    -9.3    -9.3 1
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-1897  1 30    -2.6    -3.1    -3.1 1
-1897  1 31   -12.4   -12.9   -12.9 1
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-1897  2  4   -17.6   -18.1   -18.1 1
-1897  2  5   -15.0   -15.5   -15.5 1
-1897  2  6   -12.6   -13.1   -13.1 1
-1897  2  7   -10.8   -11.3   -11.3 1
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-1897  2 13    -4.0    -4.5    -4.5 1
-1897  2 14   -11.7   -12.2   -12.2 1
-1897  2 15   -14.5   -15.0   -15.0 1
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-1897  2 19     3.3     2.8     2.8 1
-1897  2 20     4.0     3.5     3.5 1
-1897  2 21     3.1     2.6     2.6 1
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-1897  2 23     1.5     1.0     1.0 1
-1897  2 24     4.2     3.7     3.7 1
-1897  2 25     2.8     2.3     2.3 1
-1897  2 26     5.9     5.4     5.4 1
-1897  2 27     4.0     3.5     3.5 1
-1897  2 28     2.0     1.5     1.5 1
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-1897  3  5     2.4     1.9     1.9 1
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-1897  3  8    -3.3    -3.8    -3.8 1
-1897  3  9    -3.2    -3.7    -3.7 1
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-1897  3 11    -3.9    -4.4    -4.4 1
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-1897  3 13    -5.3    -5.8    -5.8 1
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-1897  3 15    -4.0    -4.5    -4.5 1
-1897  3 16    -1.6    -2.1    -2.1 1
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-1897  3 19     0.8     0.3     0.3 1
-1897  3 20    -2.6    -3.1    -3.1 1
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-1897  3 23    -1.6    -2.1    -2.1 1
-1897  3 24     1.1     0.6     0.6 1
-1897  3 25     0.5     0.0     0.0 1
-1897  3 26    -1.0    -1.5    -1.5 1
-1897  3 27     0.2    -0.3    -0.3 1
-1897  3 28    -0.4    -0.9    -0.9 1
-1897  3 29     1.6     1.1     1.1 1
-1897  3 30     2.0     1.5     1.5 1
-1897  3 31     0.8     0.3     0.3 1
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-1897  4  6     0.3    -0.2    -0.2 1
-1897  4  7     1.3     0.8     0.8 1
-1897  4  8     1.7     1.2     1.2 1
-1897  4  9     2.2     1.7     1.7 1
-1897  4 10     1.8     1.3     1.3 1
-1897  4 11     3.0     2.5     2.5 1
-1897  4 12     2.3     1.8     1.8 1
-1897  4 13     3.5     3.0     3.0 1
-1897  4 14     7.5     7.0     7.0 1
-1897  4 15     6.9     6.4     6.4 1
-1897  4 16     5.3     4.8     4.8 1
-1897  4 17     5.7     5.2     5.2 1
-1897  4 18     2.3     1.8     1.8 1
-1897  4 19     1.8     1.3     1.3 1
-1897  4 20     2.4     1.9     1.9 1
-1897  4 21     2.0     1.5     1.5 1
-1897  4 22     2.3     1.8     1.8 1
-1897  4 23     4.2     3.6     3.6 1
-1897  4 24     6.1     5.5     5.5 1
-1897  4 25     8.2     7.6     7.6 1
-1897  4 26     9.3     8.7     8.7 1
-1897  4 27    11.6    11.0    11.0 1
-1897  4 28    12.3    11.7    11.7 1
-1897  4 29    13.4    12.8    12.8 1
-1897  4 30    11.1    10.5    10.5 1
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-1897  5  2     9.8     9.2     9.2 1
-1897  5  3    10.0     9.3     9.3 1
-1897  5  4    11.3    10.6    10.6 1
-1897  5  5    11.1    10.4    10.4 1
-1897  5  6     9.3     8.6     8.6 1
-1897  5  7     9.0     8.3     8.3 1
-1897  5  8     8.6     7.9     7.9 1
-1897  5  9     9.0     8.3     8.3 1
-1897  5 10     6.5     5.8     5.8 1
-1897  5 11     6.6     5.9     5.9 1
-1897  5 12     6.4     5.7     5.7 1
-1897  5 13     5.1     4.3     4.3 1
-1897  5 14     8.6     7.8     7.8 1
-1897  5 15    10.4     9.6     9.6 1
-1897  5 16    12.9    12.1    12.1 1
-1897  5 17    13.9    13.1    13.1 1
-1897  5 18    14.4    13.6    13.6 1
-1897  5 19    10.8    10.1    10.1 1
-1897  5 20     9.8     9.1     9.1 1
-1897  5 21    13.1    12.4    12.4 1
-1897  5 22    12.6    11.9    11.9 1
-1897  5 23    11.0    10.3    10.3 1
-1897  5 24     9.4     8.7     8.7 1
-1897  5 25    10.1     9.4     9.4 1
-1897  5 26    11.6    10.9    10.9 1
-1897  5 27    14.0    13.3    13.3 1
-1897  5 28    14.5    13.8    13.8 1
-1897  5 29    14.4    13.7    13.7 1
-1897  5 30    16.9    16.2    16.2 1
-1897  5 31    18.8    18.2    18.2 1
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-1897  6  2    19.1    18.5    18.5 1
-1897  6  3    19.3    18.7    18.7 1
-1897  6  4    17.0    16.4    16.4 1
-1897  6  5    18.6    18.0    18.0 1
-1897  6  6     9.9     9.3     9.3 1
-1897  6  7     7.0     6.4     6.4 1
-1897  6  8     8.0     7.4     7.4 1
-1897  6  9    10.3     9.7     9.7 1
-1897  6 10    13.4    12.8    12.8 1
-1897  6 11    12.5    11.9    11.9 1
-1897  6 12    15.2    14.7    14.7 1
-1897  6 13    17.2    16.7    16.7 1
-1897  6 14    20.0    19.5    19.5 1
-1897  6 15    18.4    17.9    17.9 1
-1897  6 16    15.8    15.3    15.3 1
-1897  6 17    13.6    13.1    13.1 1
-1897  6 18    12.7    12.2    12.2 1
-1897  6 19    14.8    14.3    14.3 1
-1897  6 20    14.9    14.4    14.4 1
-1897  6 21    14.9    14.4    14.4 1
-1897  6 22    18.3    17.8    17.8 1
-1897  6 23    19.1    18.6    18.6 1
-1897  6 24    19.9    19.4    19.4 1
-1897  6 25    15.0    14.5    14.5 1
-1897  6 26    14.2    13.7    13.7 1
-1897  6 27    14.7    14.2    14.2 1
-1897  6 28    16.9    16.4    16.4 1
-1897  6 29    19.7    19.2    19.2 1
-1897  6 30    20.4    19.9    19.9 1
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-1897  7  3    16.8    16.3    16.3 1
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-1897  7  6    15.7    15.2    15.2 1
-1897  7  7    14.5    14.0    14.0 1
-1897  7  8    13.5    13.0    13.0 1
-1897  7  9    14.5    14.0    14.0 1
-1897  7 10    16.0    15.5    15.5 1
-1897  7 11    15.0    14.5    14.5 1
-1897  7 12    17.7    17.2    17.2 1
-1897  7 13    18.8    18.3    18.3 1
-1897  7 14    19.4    18.9    18.9 1
-1897  7 15    18.7    18.1    18.1 1
-1897  7 16    18.6    18.1    18.1 1
-1897  7 17    18.0    17.5    17.5 1
-1897  7 18    20.0    19.5    19.5 1
-1897  7 19    17.3    16.8    16.8 1
-1897  7 20    17.3    16.8    16.8 1
-1897  7 21    19.5    19.0    19.0 1
-1897  7 22    19.7    19.2    19.2 1
-1897  7 23    18.3    17.8    17.8 1
-1897  7 24    20.8    20.3    20.3 1
-1897  7 25    20.7    20.2    20.2 1
-1897  7 26    18.5    18.0    18.0 1
-1897  7 27    17.3    16.8    16.8 1
-1897  7 28    18.1    17.6    17.6 1
-1897  7 29    19.9    19.4    19.4 1
-1897  7 30    19.6    19.1    19.1 1
-1897  7 31    21.1    20.6    20.6 1
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-1897  8  5    18.4    17.9    17.9 1
-1897  8  6    19.0    18.5    18.5 1
-1897  8  7    19.7    19.2    19.2 1
-1897  8  8    20.2    19.7    19.7 1
-1897  8  9    20.9    20.4    20.4 1
-1897  8 10    21.3    20.8    20.8 1
-1897  8 11    18.5    18.0    18.0 1
-1897  8 12    17.0    16.5    16.5 1
-1897  8 13    16.8    16.3    16.3 1
-1897  8 14    17.0    16.5    16.5 1
-1897  8 15    17.9    17.4    17.4 1
-1897  8 16    20.0    19.5    19.5 1
-1897  8 17    17.2    16.7    16.7 1
-1897  8 18    17.7    17.2    17.2 1
-1897  8 19    17.1    16.6    16.6 1
-1897  8 20    16.6    16.1    16.1 1
-1897  8 21    16.3    15.8    15.8 1
-1897  8 22    15.8    15.3    15.3 1
-1897  8 23    14.4    13.9    13.9 1
-1897  8 24    15.7    15.2    15.2 1
-1897  8 25    16.2    15.8    15.8 1
-1897  8 26    16.5    16.1    16.1 1
-1897  8 27    16.2    15.8    15.8 1
-1897  8 28    16.6    16.2    16.2 1
-1897  8 29    16.7    16.3    16.3 1
-1897  8 30    15.6    15.2    15.2 1
-1897  8 31    17.4    17.0    17.0 1
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-1897  9  6     9.2     8.8     8.8 1
-1897  9  7     9.2     8.9     8.9 1
-1897  9  8    10.2     9.9     9.9 1
-1897  9  9     9.5     9.2     9.2 1
-1897  9 10    10.4    10.1    10.1 1
-1897  9 11    10.5    10.2    10.2 1
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-1897  9 13    12.6    12.3    12.3 1
-1897  9 14    11.8    11.5    11.5 1
-1897  9 15    12.7    12.4    12.4 1
-1897  9 16    12.5    12.2    12.2 1
-1897  9 17    13.3    13.0    13.0 1
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-1897  9 19    11.9    11.6    11.6 1
-1897  9 20    13.9    13.6    13.6 1
-1897  9 21     9.9     9.6     9.6 1
-1897  9 22     9.1     8.8     8.8 1
-1897  9 23    10.1     9.8     9.8 1
-1897  9 24    12.2    11.9    11.9 1
-1897  9 25    13.7    13.4    13.4 1
-1897  9 26    11.4    11.2    11.2 1
-1897  9 27    11.3    11.1    11.1 1
-1897  9 28     9.2     9.0     9.0 1
-1897  9 29     7.0     6.8     6.8 1
-1897  9 30     7.0     6.8     6.8 1
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-1897 10  7     5.9     5.7     5.7 1
-1897 10  8     6.9     6.7     6.7 1
-1897 10  9     8.2     8.0     8.0 1
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-1897 10 11     9.1     8.9     8.9 1
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-1897 10 17    11.3    11.1    11.1 1
-1897 10 18    11.6    11.4    11.4 1
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-1897 10 20     8.4     8.2     8.2 1
-1897 10 21     6.6     6.4     6.4 1
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-1897 10 24     7.8     7.6     7.6 1
-1897 10 25     4.5     4.3     4.3 1
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-1897 10 28     3.7     3.5     3.5 1
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-1898  1 10     1.0     0.5     0.5 1
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-1898  1 16     2.9     2.4     2.4 1
-1898  1 17     4.4     3.9     3.9 1
-1898  1 18     5.0     4.5     4.5 1
-1898  1 19     8.8     8.3     8.3 1
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-1898  1 26     4.9     4.4     4.4 1
-1898  1 27     4.2     3.7     3.7 1
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-1898  1 29     0.4    -0.1    -0.1 1
-1898  1 30     5.6     5.1     5.1 1
-1898  1 31     2.9     2.4     2.4 1
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-1898  2  5    -7.5    -8.0    -8.0 1
-1898  2  6    -9.0    -9.5    -9.5 1
-1898  2  7    -4.9    -5.4    -5.4 1
-1898  2  8    -5.7    -6.2    -6.2 1
-1898  2  9    -8.0    -8.5    -8.5 1
-1898  2 10    -7.3    -7.8    -7.8 1
-1898  2 11    -3.5    -4.0    -4.0 1
-1898  2 12     0.1    -0.4    -0.4 1
-1898  2 13     2.2     1.7     1.7 1
-1898  2 14    -0.2    -0.7    -0.7 1
-1898  2 15     0.3    -0.2    -0.2 1
-1898  2 16     1.9     1.4     1.4 1
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-1898  2 18    -1.0    -1.5    -1.5 1
-1898  2 19    -5.0    -5.5    -5.5 1
-1898  2 20    -4.4    -4.9    -4.9 1
-1898  2 21    -2.2    -2.7    -2.7 1
-1898  2 22     0.9     0.4     0.4 1
-1898  2 23     1.2     0.7     0.7 1
-1898  2 24     0.6     0.1     0.1 1
-1898  2 25     0.4    -0.1    -0.1 1
-1898  2 26     0.5     0.0     0.0 1
-1898  2 27     1.1     0.6     0.6 1
-1898  2 28     1.2     0.7     0.7 1
-1898  3  1     1.8     1.3     1.3 1
-1898  3  2     0.9     0.4     0.4 1
-1898  3  3    -3.1    -3.6    -3.6 1
-1898  3  4    -1.3    -1.8    -1.8 1
-1898  3  5    -4.4    -4.9    -4.9 1
-1898  3  6    -1.9    -2.4    -2.4 1
-1898  3  7     1.4     0.9     0.9 1
-1898  3  8    -1.8    -2.3    -2.3 1
-1898  3  9    -3.2    -3.7    -3.7 1
-1898  3 10    -0.9    -1.4    -1.4 1
-1898  3 11    -0.6    -1.1    -1.1 1
-1898  3 12    -1.9    -2.4    -2.4 1
-1898  3 13    -1.8    -2.3    -2.3 1
-1898  3 14     1.0     0.5     0.5 1
-1898  3 15     0.7     0.2     0.2 1
-1898  3 16    -0.1    -0.6    -0.6 1
-1898  3 17     1.3     0.8     0.8 1
-1898  3 18     3.0     2.5     2.5 1
-1898  3 19     2.3     1.8     1.8 1
-1898  3 20     1.4     0.9     0.9 1
-1898  3 21     0.9     0.4     0.4 1
-1898  3 22    -5.7    -6.2    -6.2 1
-1898  3 23    -7.6    -8.1    -8.1 1
-1898  3 24    -6.7    -7.2    -7.2 1
-1898  3 25    -2.2    -2.7    -2.7 1
-1898  3 26     0.1    -0.4    -0.4 1
-1898  3 27    -0.9    -1.4    -1.4 1
-1898  3 28     0.6     0.1     0.1 1
-1898  3 29     1.1     0.6     0.6 1
-1898  3 30     1.7     1.2     1.2 1
-1898  3 31     0.9     0.4     0.4 1
-1898  4  1     2.2     1.7     1.7 1
-1898  4  2     1.1     0.6     0.6 1
-1898  4  3     3.5     3.0     3.0 1
-1898  4  4     3.4     2.9     2.9 1
-1898  4  5     2.2     1.7     1.7 1
-1898  4  6     1.4     0.9     0.9 1
-1898  4  7    -0.1    -0.6    -0.6 1
-1898  4  8     0.1    -0.4    -0.4 1
-1898  4  9     1.0     0.5     0.5 1
-1898  4 10    -1.0    -1.5    -1.5 1
-1898  4 11    -1.1    -1.6    -1.6 1
-1898  4 12    -0.1    -0.6    -0.6 1
-1898  4 13     0.0    -0.5    -0.5 1
-1898  4 14     0.4    -0.1    -0.1 1
-1898  4 15     1.5     1.0     1.0 1
-1898  4 16     3.1     2.6     2.6 1
-1898  4 17     2.5     2.0     2.0 1
-1898  4 18     3.0     2.5     2.5 1
-1898  4 19     0.5     0.0     0.0 1
-1898  4 20     0.3    -0.2    -0.2 1
-1898  4 21     1.6     1.1     1.1 1
-1898  4 22     2.5     2.0     2.0 1
-1898  4 23     3.7     3.1     3.1 1
-1898  4 24     6.4     5.8     5.8 1
-1898  4 25     6.9     6.3     6.3 1
-1898  4 26     6.6     6.0     6.0 1
-1898  4 27     6.2     5.6     5.6 1
-1898  4 28     5.9     5.3     5.3 1
-1898  4 29     4.2     3.6     3.6 1
-1898  4 30     4.7     4.1     4.1 1
-1898  5  1     6.2     5.6     5.6 1
-1898  5  2     8.5     7.9     7.9 1
-1898  5  3    10.2     9.5     9.5 1
-1898  5  4    12.1    11.4    11.4 1
-1898  5  5    12.7    12.0    12.0 1
-1898  5  6    10.7    10.0    10.0 1
-1898  5  7     8.2     7.5     7.5 1
-1898  5  8     9.9     9.2     9.2 1
-1898  5  9    10.4     9.7     9.7 1
-1898  5 10     8.0     7.3     7.3 1
-1898  5 11     6.7     6.0     6.0 1
-1898  5 12     7.3     6.6     6.6 1
-1898  5 13     7.5     6.7     6.7 1
-1898  5 14     7.2     6.4     6.4 1
-1898  5 15     8.9     8.1     8.1 1
-1898  5 16    10.5     9.7     9.7 1
-1898  5 17    10.0     9.2     9.2 1
-1898  5 18     9.8     9.0     9.0 1
-1898  5 19    10.2     9.5     9.5 1
-1898  5 20    10.2     9.5     9.5 1
-1898  5 21    11.2    10.5    10.5 1
-1898  5 22    15.4    14.7    14.7 1
-1898  5 23     9.1     8.4     8.4 1
-1898  5 24     4.6     3.9     3.9 1
-1898  5 25     5.4     4.7     4.7 1
-1898  5 26     6.3     5.6     5.6 1
-1898  5 27     9.6     8.9     8.9 1
-1898  5 28    11.4    10.7    10.7 1
-1898  5 29    12.2    11.5    11.5 1
-1898  5 30    10.8    10.1    10.1 1
-1898  5 31     9.9     9.3     9.3 1
-1898  6  1    10.4     9.8     9.8 1
-1898  6  2    12.1    11.5    11.5 1
-1898  6  3    13.9    13.3    13.3 1
-1898  6  4    11.4    10.8    10.8 1
-1898  6  5    11.3    10.7    10.7 1
-1898  6  6    14.5    13.9    13.9 1
-1898  6  7    16.1    15.5    15.5 1
-1898  6  8    17.5    16.9    16.9 1
-1898  6  9    19.4    18.8    18.8 1
-1898  6 10    19.1    18.5    18.5 1
-1898  6 11    18.4    17.8    17.8 1
-1898  6 12    15.1    14.6    14.6 1
-1898  6 13     9.7     9.2     9.2 1
-1898  6 14    11.9    11.4    11.4 1
-1898  6 15    13.6    13.1    13.1 1
-1898  6 16    15.5    15.0    15.0 1
-1898  6 17    14.1    13.6    13.6 1
-1898  6 18    13.1    12.6    12.6 1
-1898  6 19    11.6    11.1    11.1 1
-1898  6 20    11.4    10.9    10.9 1
-1898  6 21    13.2    12.7    12.7 1
-1898  6 22    14.1    13.6    13.6 1
-1898  6 23    13.4    12.9    12.9 1
-1898  6 24    15.0    14.5    14.5 1
-1898  6 25    14.1    13.6    13.6 1
-1898  6 26    17.6    17.1    17.1 1
-1898  6 27    16.2    15.7    15.7 1
-1898  6 28    16.1    15.6    15.6 1
-1898  6 29    15.7    15.2    15.2 1
-1898  6 30    16.7    16.2    16.2 1
-1898  7  1    16.6    16.1    16.1 1
-1898  7  2    16.1    15.6    15.6 1
-1898  7  3    14.7    14.2    14.2 1
-1898  7  4    14.2    13.7    13.7 1
-1898  7  5    14.6    14.1    14.1 1
-1898  7  6    13.1    12.6    12.6 1
-1898  7  7    13.8    13.3    13.3 1
-1898  7  8    15.3    14.8    14.8 1
-1898  7  9    15.4    14.9    14.9 1
-1898  7 10    18.2    17.7    17.7 1
-1898  7 11    19.5    19.0    19.0 1
-1898  7 12    21.5    21.0    21.0 1
-1898  7 13    18.5    18.0    18.0 1
-1898  7 14    15.1    14.6    14.6 1
-1898  7 15    12.9    12.3    12.3 1
-1898  7 16    11.4    10.9    10.9 1
-1898  7 17    13.3    12.8    12.8 1
-1898  7 18    14.8    14.3    14.3 1
-1898  7 19    13.2    12.7    12.7 1
-1898  7 20    13.0    12.5    12.5 1
-1898  7 21    14.2    13.7    13.7 1
-1898  7 22    15.5    15.0    15.0 1
-1898  7 23    16.7    16.2    16.2 1
-1898  7 24    14.8    14.3    14.3 1
-1898  7 25    13.9    13.4    13.4 1
-1898  7 26    16.3    15.8    15.8 1
-1898  7 27    15.7    15.2    15.2 1
-1898  7 28    16.4    15.9    15.9 1
-1898  7 29    15.2    14.7    14.7 1
-1898  7 30    16.4    15.9    15.9 1
-1898  7 31    13.7    13.2    13.2 1
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-1898  8  4    18.7    18.2    18.2 1
-1898  8  5    15.5    15.0    15.0 1
-1898  8  6    15.8    15.3    15.3 1
-1898  8  7    14.9    14.4    14.4 1
-1898  8  8    12.9    12.4    12.4 1
-1898  8  9    16.1    15.6    15.6 1
-1898  8 10    14.9    14.4    14.4 1
-1898  8 11    15.1    14.6    14.6 1
-1898  8 12    14.7    14.2    14.2 1
-1898  8 13    15.2    14.7    14.7 1
-1898  8 14    16.6    16.1    16.1 1
-1898  8 15    17.9    17.4    17.4 1
-1898  8 16    18.4    17.9    17.9 1
-1898  8 17    14.1    13.6    13.6 1
-1898  8 18    11.9    11.4    11.4 1
-1898  8 19    15.0    14.5    14.5 1
-1898  8 20    14.1    13.6    13.6 1
-1898  8 21    15.4    14.9    14.9 1
-1898  8 22    16.9    16.4    16.4 1
-1898  8 23    18.1    17.6    17.6 1
-1898  8 24    16.6    16.1    16.1 1
-1898  8 25    13.9    13.5    13.5 1
-1898  8 26    14.3    13.9    13.9 1
-1898  8 27    14.8    14.4    14.4 1
-1898  8 28    14.3    13.9    13.9 1
-1898  8 29    14.0    13.6    13.6 1
-1898  8 30    13.2    12.8    12.8 1
-1898  8 31    14.6    14.2    14.2 1
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-1898  9  8    16.7    16.4    16.4 1
-1898  9  9    14.5    14.2    14.2 1
-1898  9 10    16.5    16.2    16.2 1
-1898  9 11    14.8    14.5    14.5 1
-1898  9 12    14.6    14.3    14.3 1
-1898  9 13    12.6    12.3    12.3 1
-1898  9 14    13.1    12.8    12.8 1
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-1898  9 18    13.2    12.9    12.9 1
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-1898  9 25     8.4     8.1     8.1 1
-1898  9 26     7.9     7.7     7.7 1
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-1898  9 28     7.9     7.7     7.7 1
-1898  9 29     8.5     8.3     8.3 1
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-1898 10 22     2.1     1.9     1.9 1
-1898 10 23    10.0     9.8     9.8 1
-1898 10 24     7.1     6.9     6.9 1
-1898 10 25     7.9     7.7     7.7 1
-1898 10 26     6.1     5.9     5.9 1
-1898 10 27     6.7     6.5     6.5 1
-1898 10 28     7.1     6.9     6.9 1
-1898 10 29     8.6     8.4     8.4 1
-1898 10 30     8.3     8.1     8.1 1
-1898 10 31     8.3     8.1     8.1 1
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-1898 11  3     8.7     8.4     8.4 1
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-1898 11 29    -1.4    -1.7    -1.7 1
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-1898 12 28     4.7     4.3     4.3 1
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-1899  1  8    -2.6    -3.1    -3.1 1
-1899  1  9    -4.6    -5.1    -5.1 1
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-1899  1 15    -4.9    -5.4    -5.4 1
-1899  1 16    -4.8    -5.3    -5.3 1
-1899  1 17    -0.4    -0.9    -0.9 1
-1899  1 18    -6.7    -7.2    -7.2 1
-1899  1 19    -4.9    -5.4    -5.4 1
-1899  1 20    -2.9    -3.4    -3.4 1
-1899  1 21     2.3     1.8     1.8 1
-1899  1 22    -1.4    -1.9    -1.9 1
-1899  1 23    -7.2    -7.7    -7.7 1
-1899  1 24   -13.0   -13.5   -13.5 1
-1899  1 25    -6.0    -6.5    -6.5 1
-1899  1 26    -3.1    -3.6    -3.6 1
-1899  1 27    -0.8    -1.3    -1.3 1
-1899  1 28     2.9     2.4     2.4 1
-1899  1 29    -1.9    -2.4    -2.4 1
-1899  1 30    -4.3    -4.8    -4.8 1
-1899  1 31    -2.7    -3.2    -3.2 1
-1899  2  1    -6.7    -7.2    -7.2 1
-1899  2  2   -10.8   -11.3   -11.3 1
-1899  2  3    -9.5   -10.0   -10.0 1
-1899  2  4    -8.3    -8.8    -8.8 1
-1899  2  5    -8.5    -9.0    -9.0 1
-1899  2  6    -9.5   -10.0   -10.0 1
-1899  2  7    -5.6    -6.1    -6.1 1
-1899  2  8    -9.5   -10.0   -10.0 1
-1899  2  9    -1.1    -1.6    -1.6 1
-1899  2 10     2.6     2.1     2.1 1
-1899  2 11     5.8     5.3     5.3 1
-1899  2 12     3.8     3.3     3.3 1
-1899  2 13    -3.9    -4.4    -4.4 1
-1899  2 14     0.6     0.1     0.1 1
-1899  2 15     2.5     2.0     2.0 1
-1899  2 16     2.2     1.7     1.7 1
-1899  2 17     2.0     1.5     1.5 1
-1899  2 18     2.9     2.4     2.4 1
-1899  2 19     2.2     1.7     1.7 1
-1899  2 20    -1.6    -2.1    -2.1 1
-1899  2 21     0.9     0.4     0.4 1
-1899  2 22     1.0     0.5     0.5 1
-1899  2 23    -3.7    -4.2    -4.2 1
-1899  2 24    -4.3    -4.8    -4.8 1
-1899  2 25    -1.1    -1.6    -1.6 1
-1899  2 26    -0.2    -0.7    -0.7 1
-1899  2 27    -0.2    -0.7    -0.7 1
-1899  2 28     2.5     2.0     2.0 1
-1899  3  1    -1.2    -1.7    -1.7 1
-1899  3  2    -1.6    -2.1    -2.1 1
-1899  3  3    -4.3    -4.8    -4.8 1
-1899  3  4    -9.9   -10.4   -10.4 1
-1899  3  5   -10.9   -11.4   -11.4 1
-1899  3  6    -9.4    -9.9    -9.9 1
-1899  3  7    -9.2    -9.7    -9.7 1
-1899  3  8    -5.2    -5.7    -5.7 1
-1899  3  9    -6.8    -7.3    -7.3 1
-1899  3 10    -1.5    -2.0    -2.0 1
-1899  3 11     2.1     1.6     1.6 1
-1899  3 12     6.1     5.6     5.6 1
-1899  3 13     3.9     3.4     3.4 1
-1899  3 14     4.4     3.9     3.9 1
-1899  3 15     6.8     6.3     6.3 1
-1899  3 16     5.6     5.1     5.1 1
-1899  3 17     6.0     5.5     5.5 1
-1899  3 18    -5.4    -5.9    -5.9 1
-1899  3 19    -8.4    -8.9    -8.9 1
-1899  3 20   -10.2   -10.7   -10.7 1
-1899  3 21   -10.9   -11.4   -11.4 1
-1899  3 22   -10.9   -11.4   -11.4 1
-1899  3 23   -10.2   -10.7   -10.7 1
-1899  3 24   -11.7   -12.2   -12.2 1
-1899  3 25    -6.3    -6.8    -6.8 1
-1899  3 26    -3.8    -4.3    -4.3 1
-1899  3 27    -1.8    -2.3    -2.3 1
-1899  3 28     1.0     0.5     0.5 1
-1899  3 29     5.6     5.1     5.1 1
-1899  3 30     3.0     2.5     2.5 1
-1899  3 31     1.0     0.5     0.5 1
-1899  4  1     1.0     0.5     0.5 1
-1899  4  2     3.8     3.3     3.3 1
-1899  4  3     2.2     1.7     1.7 1
-1899  4  4     6.1     5.6     5.6 1
-1899  4  5     7.3     6.8     6.8 1
-1899  4  6     5.0     4.5     4.5 1
-1899  4  7     4.4     3.9     3.9 1
-1899  4  8     0.5     0.0     0.0 1
-1899  4  9     2.8     2.3     2.3 1
-1899  4 10     3.3     2.8     2.8 1
-1899  4 11     3.2     2.7     2.7 1
-1899  4 12     2.9     2.4     2.4 1
-1899  4 13     2.7     2.2     2.2 1
-1899  4 14     3.5     3.0     3.0 1
-1899  4 15     2.7     2.2     2.2 1
-1899  4 16     3.0     2.5     2.5 1
-1899  4 17     3.3     2.8     2.8 1
-1899  4 18     4.2     3.7     3.7 1
-1899  4 19     4.6     4.1     4.1 1
-1899  4 20     6.0     5.5     5.5 1
-1899  4 21     4.8     4.3     4.3 1
-1899  4 22     0.3    -0.2    -0.2 1
-1899  4 23     1.0     0.4     0.4 1
-1899  4 24     5.6     5.0     5.0 1
-1899  4 25     6.1     5.5     5.5 1
-1899  4 26     8.4     7.8     7.8 1
-1899  4 27     4.3     3.7     3.7 1
-1899  4 28     5.4     4.8     4.8 1
-1899  4 29     5.2     4.6     4.6 1
-1899  4 30    -0.1    -0.7    -0.7 1
-1899  5  1    -1.2    -1.8    -1.8 1
-1899  5  2     0.7     0.1     0.1 1
-1899  5  3     1.9     1.2     1.2 1
-1899  5  4     5.8     5.1     5.1 1
-1899  5  5     5.8     5.1     5.1 1
-1899  5  6     7.1     6.4     6.4 1
-1899  5  7     7.3     6.6     6.6 1
-1899  5  8     8.8     8.1     8.1 1
-1899  5  9    12.4    11.7    11.7 1
-1899  5 10    13.7    13.0    13.0 1
-1899  5 11    13.9    13.2    13.2 1
-1899  5 12     3.7     3.0     3.0 1
-1899  5 13     3.5     2.7     2.7 1
-1899  5 14     8.3     7.5     7.5 1
-1899  5 15    10.0     9.2     9.2 1
-1899  5 16    13.5    12.7    12.7 1
-1899  5 17    12.1    11.3    11.3 1
-1899  5 18    11.6    10.8    10.8 1
-1899  5 19    11.7    11.0    11.0 1
-1899  5 20    11.5    10.8    10.8 1
-1899  5 21     3.7     3.0     3.0 1
-1899  5 22     3.0     2.3     2.3 1
-1899  5 23     6.7     6.0     6.0 1
-1899  5 24     7.4     6.7     6.7 1
-1899  5 25     6.6     5.9     5.9 1
-1899  5 26     6.3     5.6     5.6 1
-1899  5 27     7.0     6.3     6.3 1
-1899  5 28     6.6     5.9     5.9 1
-1899  5 29    10.6     9.9     9.9 1
-1899  5 30     7.6     6.9     6.9 1
-1899  5 31    12.9    12.3    12.3 1
-1899  6  1    10.0     9.4     9.4 1
-1899  6  2     7.3     6.7     6.7 1
-1899  6  3     7.7     7.1     7.1 1
-1899  6  4    10.6    10.0    10.0 1
-1899  6  5    15.5    14.9    14.9 1
-1899  6  6    10.5     9.9     9.9 1
-1899  6  7     8.3     7.7     7.7 1
-1899  6  8     9.5     8.9     8.9 1
-1899  6  9     8.8     8.2     8.2 1
-1899  6 10     8.5     7.9     7.9 1
-1899  6 11    10.5     9.9     9.9 1
-1899  6 12     8.6     8.1     8.1 1
-1899  6 13     8.2     7.7     7.7 1
-1899  6 14    13.0    12.5    12.5 1
-1899  6 15    16.2    15.7    15.7 1
-1899  6 16    16.0    15.5    15.5 1
-1899  6 17    15.4    14.9    14.9 1
-1899  6 18    13.5    13.0    13.0 1
-1899  6 19    13.3    12.8    12.8 1
-1899  6 20    11.8    11.3    11.3 1
-1899  6 21    12.1    11.6    11.6 1
-1899  6 22    11.5    11.0    11.0 1
-1899  6 23     9.8     9.3     9.3 1
-1899  6 24     9.1     8.6     8.6 1
-1899  6 25    12.7    12.2    12.2 1
-1899  6 26    12.2    11.7    11.7 1
-1899  6 27    16.8    16.3    16.3 1
-1899  6 28    17.3    16.8    16.8 1
-1899  6 29    14.1    13.6    13.6 1
-1899  6 30    16.4    15.9    15.9 1
-1899  7  1    15.9    15.4    15.4 1
-1899  7  2    15.4    14.9    14.9 1
-1899  7  3    19.1    18.6    18.6 1
-1899  7  4    20.5    20.0    20.0 1
-1899  7  5    21.5    21.0    21.0 1
-1899  7  6    16.9    16.4    16.4 1
-1899  7  7    18.7    18.2    18.2 1
-1899  7  8    20.0    19.5    19.5 1
-1899  7  9    19.8    19.3    19.3 1
-1899  7 10    21.1    20.6    20.6 1
-1899  7 11    21.7    21.2    21.2 1
-1899  7 12    23.4    22.9    22.9 1
-1899  7 13    22.3    21.8    21.8 1
-1899  7 14    22.8    22.3    22.3 1
-1899  7 15    23.1    22.5    22.5 1
-1899  7 16    23.3    22.8    22.8 1
-1899  7 17    23.2    22.7    22.7 1
-1899  7 18    23.2    22.7    22.7 1
-1899  7 19    22.0    21.5    21.5 1
-1899  7 20    19.9    19.4    19.4 1
-1899  7 21    17.9    17.4    17.4 1
-1899  7 22    14.4    13.9    13.9 1
-1899  7 23    17.3    16.8    16.8 1
-1899  7 24    19.0    18.5    18.5 1
-1899  7 25    19.9    19.4    19.4 1
-1899  7 26    17.9    17.4    17.4 1
-1899  7 27    16.4    15.9    15.9 1
-1899  7 28    14.5    14.0    14.0 1
-1899  7 29    17.2    16.7    16.7 1
-1899  7 30    20.2    19.7    19.7 1
-1899  7 31    17.8    17.3    17.3 1
-1899  8  1    20.9    20.4    20.4 1
-1899  8  2    18.9    18.4    18.4 1
-1899  8  3    15.8    15.3    15.3 1
-1899  8  4    16.6    16.1    16.1 1
-1899  8  5    17.3    16.8    16.8 1
-1899  8  6    12.6    12.1    12.1 1
-1899  8  7    11.7    11.2    11.2 1
-1899  8  8    14.4    13.9    13.9 1
-1899  8  9    16.1    15.6    15.6 1
-1899  8 10    14.6    14.1    14.1 1
-1899  8 11    17.3    16.8    16.8 1
-1899  8 12    14.0    13.5    13.5 1
-1899  8 13    16.5    16.0    16.0 1
-1899  8 14    15.1    14.6    14.6 1
-1899  8 15    18.4    17.9    17.9 1
-1899  8 16    18.2    17.7    17.7 1
-1899  8 17    14.9    14.4    14.4 1
-1899  8 18    12.6    12.1    12.1 1
-1899  8 19    12.0    11.5    11.5 1
-1899  8 20    12.4    11.9    11.9 1
-1899  8 21    14.5    14.0    14.0 1
-1899  8 22    17.9    17.4    17.4 1
-1899  8 23    13.8    13.3    13.3 1
-1899  8 24    12.6    12.1    12.1 1
-1899  8 25    10.3     9.9     9.9 1
-1899  8 26     9.8     9.4     9.4 1
-1899  8 27     9.9     9.5     9.5 1
-1899  8 28     9.5     9.1     9.1 1
-1899  8 29    13.2    12.8    12.8 1
-1899  8 30    12.9    12.5    12.5 1
-1899  8 31    15.2    14.8    14.8 1
-1899  9  1    14.0    13.6    13.6 1
-1899  9  2    15.1    14.7    14.7 1
-1899  9  3    12.1    11.7    11.7 1
-1899  9  4    11.8    11.4    11.4 1
-1899  9  5    12.9    12.5    12.5 1
-1899  9  6    15.6    15.2    15.2 1
-1899  9  7    13.0    12.7    12.7 1
-1899  9  8    12.1    11.8    11.8 1
-1899  9  9    12.4    12.1    12.1 1
-1899  9 10    11.6    11.3    11.3 1
-1899  9 11    12.0    11.7    11.7 1
-1899  9 12    12.6    12.3    12.3 1
-1899  9 13    12.1    11.8    11.8 1
-1899  9 14    11.5    11.2    11.2 1
-1899  9 15    12.9    12.6    12.6 1
-1899  9 16    10.6    10.3    10.3 1
-1899  9 17    11.8    11.5    11.5 1
-1899  9 18    11.8    11.5    11.5 1
-1899  9 19    10.0     9.7     9.7 1
-1899  9 20    10.8    10.5    10.5 1
-1899  9 21     9.9     9.6     9.6 1
-1899  9 22     9.7     9.4     9.4 1
-1899  9 23    10.8    10.5    10.5 1
-1899  9 24     9.3     9.0     9.0 1
-1899  9 25     7.6     7.3     7.3 1
-1899  9 26    10.7    10.5    10.5 1
-1899  9 27    10.6    10.4    10.4 1
-1899  9 28    12.4    12.2    12.2 1
-1899  9 29     9.5     9.3     9.3 1
-1899  9 30     9.3     9.1     9.1 1
-1899 10  1     9.8     9.6     9.6 1
-1899 10  2    12.5    12.3    12.3 1
-1899 10  3    12.0    11.8    11.8 1
-1899 10  4    11.0    10.8    10.8 1
-1899 10  5     8.0     7.8     7.8 1
-1899 10  6     3.4     3.2     3.2 1
-1899 10  7     3.2     3.0     3.0 1
-1899 10  8     2.2     2.0     2.0 1
-1899 10  9     6.5     6.3     6.3 1
-1899 10 10     9.2     9.0     9.0 1
-1899 10 11     9.6     9.4     9.4 1
-1899 10 12    10.3    10.1    10.1 1
-1899 10 13     9.1     8.9     8.9 1
-1899 10 14     8.3     8.1     8.1 1
-1899 10 15     3.7     3.5     3.5 1
-1899 10 16     3.2     3.0     3.0 1
-1899 10 17     3.9     3.7     3.7 1
-1899 10 18     4.3     4.1     4.1 1
-1899 10 19     7.1     6.9     6.9 1
-1899 10 20     9.7     9.5     9.5 1
-1899 10 21     6.4     6.2     6.2 1
-1899 10 22     3.2     3.0     3.0 1
-1899 10 23     6.9     6.7     6.7 1
-1899 10 24     6.7     6.5     6.5 1
-1899 10 25    -0.1    -0.3    -0.3 1
-1899 10 26     0.0    -0.2    -0.2 1
-1899 10 27     6.6     6.4     6.4 1
-1899 10 28     5.4     5.2     5.2 1
-1899 10 29     7.7     7.5     7.5 1
-1899 10 30    10.0     9.8     9.8 1
-1899 10 31     4.8     4.6     4.6 1
-1899 11  1     4.6     4.3     4.3 1
-1899 11  2     6.8     6.5     6.5 1
-1899 11  3     8.4     8.1     8.1 1
-1899 11  4     9.0     8.7     8.7 1
-1899 11  5     9.3     9.0     9.0 1
-1899 11  6    11.1    10.8    10.8 1
-1899 11  7     7.9     7.6     7.6 1
-1899 11  8     4.9     4.6     4.6 1
-1899 11  9     8.5     8.2     8.2 1
-1899 11 10     4.4     4.1     4.1 1
-1899 11 11     4.7     4.4     4.4 1
-1899 11 12     4.2     3.9     3.9 1
-1899 11 13     1.0     0.7     0.7 1
-1899 11 14     4.5     4.2     4.2 1
-1899 11 15     3.3     3.0     3.0 1
-1899 11 16     2.0     1.7     1.7 1
-1899 11 17     2.6     2.3     2.3 1
-1899 11 18     3.3     3.0     3.0 1
-1899 11 19     2.9     2.6     2.6 1
-1899 11 20    -0.4    -0.7    -0.7 1
-1899 11 21    -0.1    -0.4    -0.4 1
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-1899 11 23    -1.4    -1.7    -1.7 1
-1899 11 24     2.6     2.3     2.3 1
-1899 11 25    -5.2    -5.5    -5.5 1
-1899 11 26     2.4     2.1     2.1 1
-1899 11 27     6.0     5.7     5.7 1
-1899 11 28     6.0     5.7     5.7 1
-1899 11 29     3.1     2.8     2.8 1
-1899 11 30     3.2     2.9     2.9 1
-1899 12  1     6.4     6.1     6.1 1
-1899 12  2     1.6     1.3     1.3 1
-1899 12  3    -2.7    -3.0    -3.0 1
-1899 12  4     0.3     0.0     0.0 1
-1899 12  5    -2.8    -3.1    -3.1 1
-1899 12  6    -5.1    -5.4    -5.4 1
-1899 12  7    -3.5    -3.8    -3.8 1
-1899 12  8    -4.3    -4.6    -4.6 1
-1899 12  9    -4.3    -4.6    -4.6 1
-1899 12 10    -1.4    -1.7    -1.7 1
-1899 12 11    -2.2    -2.5    -2.5 1
-1899 12 12    -1.8    -2.1    -2.1 1
-1899 12 13    -3.7    -4.0    -4.0 1
-1899 12 14    -2.8    -3.1    -3.1 1
-1899 12 15    -2.2    -2.5    -2.5 1
-1899 12 16   -10.2   -10.5   -10.5 1
-1899 12 17    -0.3    -0.6    -0.6 1
-1899 12 18     1.2     0.9     0.9 1
-1899 12 19    -0.1    -0.4    -0.4 1
-1899 12 20    -0.9    -1.2    -1.2 1
-1899 12 21    -4.7    -5.0    -5.0 1
-1899 12 22    -8.5    -8.9    -8.9 1
-1899 12 23    -3.2    -3.6    -3.6 1
-1899 12 24    -4.2    -4.6    -4.6 1
-1899 12 25    -5.2    -5.6    -5.6 1
-1899 12 26    -2.6    -3.0    -3.0 1
-1899 12 27    -0.6    -1.0    -1.0 1
-1899 12 28    -1.3    -1.7    -1.7 1
-1899 12 29     0.9     0.5     0.5 1
-1899 12 30     1.7     1.3     1.3 1
-1899 12 31     1.8     1.4     1.4 1
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-1900  1  3    -0.7    -1.1    -1.1 1
-1900  1  4    -7.6    -8.0    -8.0 1
-1900  1  5    -7.7    -8.2    -8.2 1
-1900  1  6    -8.7    -9.2    -9.2 1
-1900  1  7    -5.1    -5.6    -5.6 1
-1900  1  8    -3.0    -3.5    -3.5 1
-1900  1  9    -0.6    -1.1    -1.1 1
-1900  1 10     0.5     0.0     0.0 1
-1900  1 11    -1.8    -2.3    -2.3 1
-1900  1 12    -5.4    -5.9    -5.9 1
-1900  1 13    -8.1    -8.6    -8.6 1
-1900  1 14    -7.0    -7.5    -7.5 1
-1900  1 15    -4.9    -5.4    -5.4 1
-1900  1 16    -0.7    -1.2    -1.2 1
-1900  1 17    -0.7    -1.2    -1.2 1
-1900  1 18    -1.8    -2.3    -2.3 1
-1900  1 19    -6.0    -6.5    -6.5 1
-1900  1 20    -0.9    -1.4    -1.4 1
-1900  1 21    -2.4    -2.9    -2.9 1
-1900  1 22     0.7     0.2     0.2 1
-1900  1 23     3.8     3.3     3.3 1
-1900  1 24    -0.3    -0.8    -0.8 1
-1900  1 25    -2.9    -3.4    -3.4 1
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-1900  2 14   -12.8   -13.3   -13.3 1
-1900  2 15   -15.6   -16.1   -16.1 1
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-1900  2 17   -11.7   -12.2   -12.2 1
-1900  2 18   -10.1   -10.6   -10.6 1
-1900  2 19   -10.1   -10.6   -10.6 1
-1900  2 20     1.4     0.9     0.9 1
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-1900  2 25     1.0     0.5     0.5 1
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-1900  2 27    -5.2    -5.7    -5.7 1
-1900  2 28    -7.4    -7.9    -7.9 1
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-1900  3 15     1.0     0.5     0.5 1
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-1900  3 17     1.2     0.7     0.7 1
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-1900  3 25    -1.5    -2.0    -2.0 1
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-1900  3 27    -3.7    -4.2    -4.2 1
-1900  3 28    -4.2    -4.7    -4.7 1
-1900  3 29    -4.2    -4.7    -4.7 1
-1900  3 30    -0.6    -1.1    -1.1 1
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-1900  4 10     3.3     2.8     2.8 1
-1900  4 11     3.3     2.8     2.8 1
-1900  4 12     5.3     4.8     4.8 1
-1900  4 13     3.9     3.4     3.4 1
-1900  4 14     3.6     3.1     3.1 1
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-1900  4 16     3.9     3.4     3.4 1
-1900  4 17     3.2     2.7     2.7 1
-1900  4 18     3.7     3.2     3.2 1
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-1900  4 22     3.9     3.4     3.4 1
-1900  4 23     5.0     4.4     4.4 1
-1900  4 24     6.9     6.3     6.3 1
-1900  4 25     1.4     0.8     0.8 1
-1900  4 26     2.6     2.0     2.0 1
-1900  4 27     0.9     0.3     0.3 1
-1900  4 28     4.9     4.3     4.3 1
-1900  4 29     7.6     7.0     7.0 1
-1900  4 30     1.2     0.6     0.6 1
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-1900  5  3     6.2     5.5     5.5 1
-1900  5  4     9.6     8.9     8.9 1
-1900  5  5    10.2     9.5     9.5 1
-1900  5  6    13.8    13.1    13.1 1
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-1900  5  8     7.0     6.3     6.3 1
-1900  5  9     2.2     1.5     1.5 1
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-1900  5 14     4.5     3.7     3.7 1
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-1900  5 16     5.6     4.8     4.8 1
-1900  5 17     8.6     7.8     7.8 1
-1900  5 18     6.1     5.3     5.3 1
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-1900  5 25    12.8    12.1    12.1 1
-1900  5 26    14.7    14.0    14.0 1
-1900  5 27     9.6     8.9     8.9 1
-1900  5 28     5.7     5.0     5.0 1
-1900  5 29     7.3     6.6     6.6 1
-1900  5 30     8.5     7.8     7.8 1
-1900  5 31    15.2    14.6    14.6 1
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-1900  6  3    16.6    16.0    16.0 1
-1900  6  4    11.9    11.3    11.3 1
-1900  6  5    17.1    16.5    16.5 1
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-1900  6  7    12.4    11.8    11.8 1
-1900  6  8    11.1    10.5    10.5 1
-1900  6  9    12.5    11.9    11.9 1
-1900  6 10    11.2    10.6    10.6 1
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-1900  6 15    13.3    12.8    12.8 1
-1900  6 16     8.0     7.5     7.5 1
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-1900  6 18    14.8    14.3    14.3 1
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-1900  6 23    12.9    12.4    12.4 1
-1900  6 24    14.1    13.6    13.6 1
-1900  6 25    17.2    16.7    16.7 1
-1900  6 26    19.0    18.5    18.5 1
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-1900  6 28    20.9    20.4    20.4 1
-1900  6 29    18.5    18.0    18.0 1
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-1900  7 26    16.3    15.8    15.8 1
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-1900  7 28    14.5    14.0    14.0 1
-1900  7 29    15.7    15.2    15.2 1
-1900  7 30    17.4    16.9    16.9 1
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-1901  2 14   -12.0   -12.5   -12.5 1
-1901  2 15   -12.5   -13.0   -13.0 1
-1901  2 16    -5.0    -5.5    -5.5 1
-1901  2 17    -5.0    -5.5    -5.5 1
-1901  2 18    -9.3    -9.8    -9.8 1
-1901  2 19    -6.6    -7.1    -7.1 1
-1901  2 20    -8.1    -8.6    -8.6 1
-1901  2 21    -2.9    -3.4    -3.4 1
-1901  2 22    -2.9    -3.4    -3.4 1
-1901  2 23    -7.9    -8.4    -8.4 1
-1901  2 24   -12.1   -12.6   -12.6 1
-1901  2 25    -6.3    -6.8    -6.8 1
-1901  2 26    -4.4    -4.9    -4.9 1
-1901  2 27     0.1    -0.4    -0.4 1
-1901  2 28    -5.2    -5.7    -5.7 1
-1901  3  1    -8.1    -8.6    -8.6 1
-1901  3  2    -7.2    -7.7    -7.7 1
-1901  3  3   -10.3   -10.8   -10.8 1
-1901  3  4    -2.9    -3.4    -3.4 1
-1901  3  5     0.2    -0.3    -0.3 1
-1901  3  6     1.1     0.6     0.6 1
-1901  3  7     1.6     1.1     1.1 1
-1901  3  8    -0.1    -0.6    -0.6 1
-1901  3  9    -0.2    -0.7    -0.7 1
-1901  3 10     3.6     3.1     3.1 1
-1901  3 11     3.9     3.4     3.4 1
-1901  3 12     0.1    -0.4    -0.4 1
-1901  3 13     0.9     0.4     0.4 1
-1901  3 14     1.4     0.9     0.9 1
-1901  3 15     0.7     0.2     0.2 1
-1901  3 16     1.4     0.9     0.9 1
-1901  3 17     0.7     0.2     0.2 1
-1901  3 18    -1.2    -1.7    -1.7 1
-1901  3 19    -1.7    -2.2    -2.2 1
-1901  3 20    -0.8    -1.3    -1.3 1
-1901  3 21    -1.9    -2.4    -2.4 1
-1901  3 22    -0.8    -1.3    -1.3 1
-1901  3 23     1.5     1.0     1.0 1
-1901  3 24     1.2     0.7     0.7 1
-1901  3 25    -7.4    -7.9    -7.9 1
-1901  3 26    -8.1    -8.6    -8.6 1
-1901  3 27    -6.3    -6.8    -6.8 1
-1901  3 28    -4.8    -5.3    -5.3 1
-1901  3 29    -3.6    -4.1    -4.1 1
-1901  3 30    -1.3    -1.8    -1.8 1
-1901  3 31     0.4    -0.1    -0.1 1
-1901  4  1     3.7     3.2     3.2 1
-1901  4  2     4.2     3.7     3.7 1
-1901  4  3     4.3     3.8     3.8 1
-1901  4  4     3.4     2.9     2.9 1
-1901  4  5     3.9     3.4     3.4 1
-1901  4  6     1.3     0.8     0.8 1
-1901  4  7     2.6     2.1     2.1 1
-1901  4  8     4.3     3.8     3.8 1
-1901  4  9     4.1     3.6     3.6 1
-1901  4 10     6.2     5.7     5.7 1
-1901  4 11     3.7     3.2     3.2 1
-1901  4 12     3.3     2.8     2.8 1
-1901  4 13     1.5     1.0     1.0 1
-1901  4 14     0.8     0.3     0.3 1
-1901  4 15    -1.4    -1.9    -1.9 1
-1901  4 16    -0.1    -0.6    -0.6 1
-1901  4 17    -0.3    -0.8    -0.8 1
-1901  4 18     2.9     2.4     2.4 1
-1901  4 19     4.3     3.8     3.8 1
-1901  4 20     4.9     4.4     4.4 1
-1901  4 21     3.4     2.9     2.9 1
-1901  4 22     4.7     4.2     4.2 1
-1901  4 23    12.3    11.7    11.7 1
-1901  4 24     6.6     6.0     6.0 1
-1901  4 25     6.0     5.4     5.4 1
-1901  4 26     6.6     6.0     6.0 1
-1901  4 27     6.1     5.5     5.5 1
-1901  4 28     8.5     7.9     7.9 1
-1901  4 29    11.1    10.5    10.5 1
-1901  4 30    10.7    10.1    10.1 1
-1901  5  1    10.3     9.7     9.7 1
-1901  5  2    12.0    11.4    11.4 1
-1901  5  3     9.2     8.5     8.5 1
-1901  5  4     4.6     3.9     3.9 1
-1901  5  5     2.3     1.6     1.6 1
-1901  5  6     3.0     2.3     2.3 1
-1901  5  7     3.9     3.2     3.2 1
-1901  5  8     5.2     4.5     4.5 1
-1901  5  9     7.2     6.5     6.5 1
-1901  5 10    11.5    10.8    10.8 1
-1901  5 11    14.1    13.4    13.4 1
-1901  5 12    16.2    15.5    15.5 1
-1901  5 13    15.0    14.2    14.2 1
-1901  5 14    15.1    14.3    14.3 1
-1901  5 15    16.5    15.7    15.7 1
-1901  5 16    11.4    10.6    10.6 1
-1901  5 17     5.5     4.7     4.7 1
-1901  5 18     6.6     5.8     5.8 1
-1901  5 19     8.9     8.2     8.2 1
-1901  5 20     7.9     7.2     7.2 1
-1901  5 21     9.5     8.8     8.8 1
-1901  5 22    11.7    11.0    11.0 1
-1901  5 23    14.5    13.8    13.8 1
-1901  5 24    13.0    12.3    12.3 1
-1901  5 25    14.0    13.3    13.3 1
-1901  5 26    17.7    17.0    17.0 1
-1901  5 27    14.6    13.9    13.9 1
-1901  5 28    18.2    17.5    17.5 1
-1901  5 29    11.9    11.2    11.2 1
-1901  5 30    10.6     9.9     9.9 1
-1901  5 31    12.4    11.8    11.8 1
-1901  6  1    16.0    15.4    15.4 1
-1901  6  2    13.3    12.7    12.7 1
-1901  6  3    15.8    15.2    15.2 1
-1901  6  4    15.8    15.2    15.2 1
-1901  6  5    16.0    15.4    15.4 1
-1901  6  6    18.0    17.4    17.4 1
-1901  6  7    18.3    17.7    17.7 1
-1901  6  8    17.3    16.7    16.7 1
-1901  6  9    18.9    18.3    18.3 1
-1901  6 10    16.8    16.2    16.2 1
-1901  6 11    14.0    13.4    13.4 1
-1901  6 12    11.2    10.7    10.7 1
-1901  6 13    11.6    11.1    11.1 1
-1901  6 14    11.6    11.1    11.1 1
-1901  6 15    14.8    14.3    14.3 1
-1901  6 16    13.6    13.1    13.1 1
-1901  6 17    11.3    10.8    10.8 1
-1901  6 18    13.5    13.0    13.0 1
-1901  6 19    12.6    12.1    12.1 1
-1901  6 20    15.7    15.2    15.2 1
-1901  6 21    18.9    18.4    18.4 1
-1901  6 22    18.2    17.7    17.7 1
-1901  6 23    20.0    19.5    19.5 1
-1901  6 24    23.4    22.9    22.9 1
-1901  6 25    21.7    21.2    21.2 1
-1901  6 26    16.2    15.7    15.7 1
-1901  6 27    12.6    12.1    12.1 1
-1901  6 28    16.2    15.7    15.7 1
-1901  6 29    15.4    14.9    14.9 1
-1901  6 30    16.4    15.9    15.9 1
-1901  7  1    14.9    14.4    14.4 1
-1901  7  2    16.3    15.8    15.8 1
-1901  7  3    14.5    14.0    14.0 1
-1901  7  4    15.6    15.1    15.1 1
-1901  7  5    19.3    18.8    18.8 1
-1901  7  6    19.0    18.5    18.5 1
-1901  7  7    21.5    21.0    21.0 1
-1901  7  8    20.0    19.5    19.5 1
-1901  7  9    19.5    19.0    19.0 1
-1901  7 10    22.5    22.0    22.0 1
-1901  7 11    25.9    25.4    25.4 1
-1901  7 12    23.0    22.5    22.5 1
-1901  7 13    22.8    22.3    22.3 1
-1901  7 14    21.0    20.5    20.5 1
-1901  7 15    18.7    18.1    18.1 1
-1901  7 16    17.8    17.3    17.3 1
-1901  7 17    21.0    20.5    20.5 1
-1901  7 18    23.0    22.5    22.5 1
-1901  7 19    24.0    23.5    23.5 1
-1901  7 20    25.0    24.5    24.5 1
-1901  7 21    25.6    25.1    25.1 1
-1901  7 22    24.8    24.3    24.3 1
-1901  7 23    24.6    24.1    24.1 1
-1901  7 24    23.8    23.3    23.3 1
-1901  7 25    22.4    21.9    21.9 1
-1901  7 26    21.8    21.3    21.3 1
-1901  7 27    21.8    21.3    21.3 1
-1901  7 28    23.2    22.7    22.7 1
-1901  7 29    22.7    22.2    22.2 1
-1901  7 30    20.9    20.4    20.4 1
-1901  7 31    20.5    20.0    20.0 1
-1901  8  1    20.4    19.9    19.9 1
-1901  8  2    22.0    21.5    21.5 1
-1901  8  3    17.8    17.3    17.3 1
-1901  8  4    16.9    16.4    16.4 1
-1901  8  5    18.8    18.3    18.3 1
-1901  8  6    17.8    17.3    17.3 1
-1901  8  7    17.3    16.8    16.8 1
-1901  8  8    18.8    18.3    18.3 1
-1901  8  9    17.6    17.1    17.1 1
-1901  8 10    19.8    19.3    19.3 1
-1901  8 11    21.1    20.6    20.6 1
-1901  8 12    20.6    20.1    20.1 1
-1901  8 13    21.0    20.5    20.5 1
-1901  8 14    21.5    21.0    21.0 1
-1901  8 15    20.2    19.7    19.7 1
-1901  8 16    21.9    21.4    21.4 1
-1901  8 17    19.3    18.8    18.8 1
-1901  8 18    18.9    18.4    18.4 1
-1901  8 19    18.6    18.1    18.1 1
-1901  8 20    16.5    16.0    16.0 1
-1901  8 21    16.3    15.8    15.8 1
-1901  8 22    18.6    18.1    18.1 1
-1901  8 23    17.0    16.5    16.5 1
-1901  8 24    13.8    13.3    13.3 1
-1901  8 25    15.6    15.2    15.2 1
-1901  8 26    16.8    16.4    16.4 1
-1901  8 27    17.3    16.9    16.9 1
-1901  8 28    14.9    14.5    14.5 1
-1901  8 29    15.3    14.9    14.9 1
-1901  8 30    14.1    13.7    13.7 1
-1901  8 31    13.7    13.3    13.3 1
-1901  9  1    11.4    11.0    11.0 1
-1901  9  2     8.3     7.9     7.9 1
-1901  9  3     8.3     7.9     7.9 1
-1901  9  4    10.6    10.2    10.2 1
-1901  9  5    10.5    10.1    10.1 1
-1901  9  6    11.1    10.7    10.7 1
-1901  9  7    11.5    11.2    11.2 1
-1901  9  8    12.0    11.7    11.7 1
-1901  9  9    11.9    11.6    11.6 1
-1901  9 10    13.4    13.1    13.1 1
-1901  9 11    11.3    11.0    11.0 1
-1901  9 12    12.1    11.8    11.8 1
-1901  9 13    12.0    11.7    11.7 1
-1901  9 14    12.9    12.6    12.6 1
-1901  9 15    12.0    11.7    11.7 1
-1901  9 16    14.5    14.2    14.2 1
-1901  9 17    14.9    14.6    14.6 1
-1901  9 18    12.2    11.9    11.9 1
-1901  9 19    14.4    14.1    14.1 1
-1901  9 20    13.3    13.0    13.0 1
-1901  9 21    13.6    13.3    13.3 1
-1901  9 22    13.6    13.3    13.3 1
-1901  9 23    14.8    14.5    14.5 1
-1901  9 24    16.0    15.7    15.7 1
-1901  9 25    14.7    14.4    14.4 1
-1901  9 26    14.7    14.5    14.5 1
-1901  9 27    14.3    14.1    14.1 1
-1901  9 28    16.1    15.9    15.9 1
-1901  9 29    17.5    17.3    17.3 1
-1901  9 30    16.4    16.2    16.2 1
-1901 10  1    12.4    12.2    12.2 1
-1901 10  2    12.7    12.5    12.5 1
-1901 10  3    14.7    14.5    14.5 1
-1901 10  4    15.2    15.0    15.0 1
-1901 10  5    13.6    13.4    13.4 1
-1901 10  6     9.7     9.5     9.5 1
-1901 10  7     9.4     9.2     9.2 1
-1901 10  8     6.7     6.5     6.5 1
-1901 10  9     9.3     9.1     9.1 1
-1901 10 10     8.5     8.3     8.3 1
-1901 10 11     9.3     9.1     9.1 1
-1901 10 12     8.2     8.0     8.0 1
-1901 10 13     9.9     9.7     9.7 1
-1901 10 14     9.6     9.4     9.4 1
-1901 10 15     9.8     9.6     9.6 1
-1901 10 16    10.6    10.4    10.4 1
-1901 10 17    11.3    11.1    11.1 1
-1901 10 18    10.7    10.5    10.5 1
-1901 10 19    10.6    10.4    10.4 1
-1901 10 20    10.3    10.1    10.1 1
-1901 10 21    10.3    10.1    10.1 1
-1901 10 22    11.0    10.8    10.8 1
-1901 10 23     9.7     9.5     9.5 1
-1901 10 24    10.3    10.1    10.1 1
-1901 10 25     8.9     8.7     8.7 1
-1901 10 26    10.2    10.0    10.0 1
-1901 10 27     8.2     8.0     8.0 1
-1901 10 28    12.5    12.3    12.3 1
-1901 10 29     7.6     7.4     7.4 1
-1901 10 30     4.4     4.2     4.2 1
-1901 10 31     4.3     4.1     4.1 1
-1901 11  1     3.7     3.4     3.4 1
-1901 11  2     3.5     3.2     3.2 1
-1901 11  3     3.0     2.7     2.7 1
-1901 11  4     2.8     2.5     2.5 1
-1901 11  5     4.0     3.7     3.7 1
-1901 11  6     6.0     5.7     5.7 1
-1901 11  7     3.4     3.1     3.1 1
-1901 11  8     0.2    -0.1    -0.1 1
-1901 11  9    -1.0    -1.3    -1.3 1
-1901 11 10     1.3     1.0     1.0 1
-1901 11 11    -1.9    -2.2    -2.2 1
-1901 11 12    -5.9    -6.2    -6.2 1
-1901 11 13    -4.7    -5.0    -5.0 1
-1901 11 14    -0.5    -0.8    -0.8 1
-1901 11 15    -3.9    -4.2    -4.2 1
-1901 11 16    -8.2    -8.5    -8.5 1
-1901 11 17     1.1     0.8     0.8 1
-1901 11 18    -5.2    -5.5    -5.5 1
-1901 11 19     1.8     1.5     1.5 1
-1901 11 20    -1.1    -1.4    -1.4 1
-1901 11 21    -3.9    -4.2    -4.2 1
-1901 11 22    -5.2    -5.5    -5.5 1
-1901 11 23    -3.0    -3.3    -3.3 1
-1901 11 24    -3.0    -3.3    -3.3 1
-1901 11 25     1.8     1.5     1.5 1
-1901 11 26    -0.1    -0.4    -0.4 1
-1901 11 27     1.1     0.8     0.8 1
-1901 11 28    -1.5    -1.8    -1.8 1
-1901 11 29    -6.5    -6.8    -6.8 1
-1901 11 30    -3.8    -4.1    -4.1 1
-1901 12  1    -2.9    -3.2    -3.2 1
-1901 12  2    -3.9    -4.2    -4.2 1
-1901 12  3    -3.6    -3.9    -3.9 1
-1901 12  4   -10.5   -10.8   -10.8 1
-1901 12  5    -0.4    -0.7    -0.7 1
-1901 12  6     0.5     0.2     0.2 1
-1901 12  7     2.2     1.9     1.9 1
-1901 12  8    -0.6    -0.9    -0.9 1
-1901 12  9    -0.4    -0.7    -0.7 1
-1901 12 10    -4.6    -4.9    -4.9 1
-1901 12 11    -7.8    -8.1    -8.1 1
-1901 12 12    -8.7    -9.0    -9.0 1
-1901 12 13   -10.5   -10.8   -10.8 1
-1901 12 14    -6.2    -6.5    -6.5 1
-1901 12 15    -6.4    -6.7    -6.7 1
-1901 12 16    -8.4    -8.7    -8.7 1
-1901 12 17   -10.7   -11.0   -11.0 1
-1901 12 18    -1.8    -2.1    -2.1 1
-1901 12 19    -2.6    -2.9    -2.9 1
-1901 12 20    -1.1    -1.4    -1.4 1
-1901 12 21     0.3     0.0     0.0 1
-1901 12 22    -1.2    -1.6    -1.6 1
-1901 12 23    -4.5    -4.9    -4.9 1
-1901 12 24    -4.8    -5.2    -5.2 1
-1901 12 25    -4.3    -4.7    -4.7 1
-1901 12 26    -1.1    -1.5    -1.5 1
-1901 12 27    -2.2    -2.6    -2.6 1
-1901 12 28    -1.9    -2.3    -2.3 1
-1901 12 29     0.7     0.3     0.3 1
-1901 12 30     1.3     0.9     0.9 1
-1901 12 31     2.8     2.4     2.4 1
-1902  1  1     2.2     1.8     1.8 1
-1902  1  2    -0.3    -0.7    -0.7 1
-1902  1  3    -4.7    -5.1    -5.1 1
-1902  1  4     2.3     1.9     1.9 1
-1902  1  5     1.5     1.0     1.0 1
-1902  1  6    -1.2    -1.7    -1.7 1
-1902  1  7     0.4    -0.1    -0.1 1
-1902  1  8     2.2     1.7     1.7 1
-1902  1  9     2.8     2.3     2.3 1
-1902  1 10     3.3     2.8     2.8 1
-1902  1 11    -2.1    -2.6    -2.6 1
-1902  1 12    -4.2    -4.7    -4.7 1
-1902  1 13    -5.8    -6.3    -6.3 1
-1902  1 14    -7.6    -8.1    -8.1 1
-1902  1 15    -6.0    -6.5    -6.5 1
-1902  1 16     2.0     1.5     1.5 1
-1902  1 17    -1.8    -2.3    -2.3 1
-1902  1 18    -6.2    -6.7    -6.7 1
-1902  1 19    -4.8    -5.3    -5.3 1
-1902  1 20     3.2     2.7     2.7 1
-1902  1 21     0.6     0.1     0.1 1
-1902  1 22    -1.5    -2.0    -2.0 1
-1902  1 23     1.4     0.9     0.9 1
-1902  1 24     4.6     4.1     4.1 1
-1902  1 25     2.2     1.7     1.7 1
-1902  1 26     0.8     0.3     0.3 1
-1902  1 27    -2.2    -2.7    -2.7 1
-1902  1 28    -3.5    -4.0    -4.0 1
-1902  1 29    -2.3    -2.8    -2.8 1
-1902  1 30    -3.1    -3.6    -3.6 1
-1902  1 31    -5.2    -5.7    -5.7 1
-1902  2  1    -0.7    -1.2    -1.2 1
-1902  2  2    -2.8    -3.3    -3.3 1
-1902  2  3    -3.6    -4.1    -4.1 1
-1902  2  4    -6.1    -6.6    -6.6 1
-1902  2  5    -8.7    -9.2    -9.2 1
-1902  2  6    -1.9    -2.4    -2.4 1
-1902  2  7    -3.5    -4.0    -4.0 1
-1902  2  8    -3.1    -3.6    -3.6 1
-1902  2  9    -9.8   -10.3   -10.3 1
-1902  2 10   -10.4   -10.9   -10.9 1
-1902  2 11   -12.4   -12.9   -12.9 1
-1902  2 12    -3.9    -4.4    -4.4 1
-1902  2 13    -5.7    -6.2    -6.2 1
-1902  2 14    -8.8    -9.3    -9.3 1
-1902  2 15    -4.5    -5.0    -5.0 1
-1902  2 16     1.1     0.6     0.6 1
-1902  2 17    -0.6    -1.1    -1.1 1
-1902  2 18    -5.0    -5.5    -5.5 1
-1902  2 19    -7.7    -8.2    -8.2 1
-1902  2 20    -5.1    -5.6    -5.6 1
-1902  2 21    -5.1    -5.6    -5.6 1
-1902  2 22    -1.8    -2.3    -2.3 1
-1902  2 23    -2.9    -3.4    -3.4 1
-1902  2 24    -5.1    -5.6    -5.6 1
-1902  2 25    -5.6    -6.1    -6.1 1
-1902  2 26    -2.4    -2.9    -2.9 1
-1902  2 27    -0.8    -1.3    -1.3 1
-1902  2 28     0.8     0.3     0.3 1
-1902  3  1     1.3     0.8     0.8 1
-1902  3  2    -0.7    -1.2    -1.2 1
-1902  3  3    -3.8    -4.3    -4.3 1
-1902  3  4    -3.8    -4.3    -4.3 1
-1902  3  5     1.1     0.6     0.6 1
-1902  3  6     1.9     1.4     1.4 1
-1902  3  7     0.5     0.0     0.0 1
-1902  3  8    -9.2    -9.7    -9.7 1
-1902  3  9   -12.1   -12.6   -12.6 1
-1902  3 10    -6.4    -6.9    -6.9 1
-1902  3 11    -5.9    -6.4    -6.4 1
-1902  3 12   -10.6   -11.1   -11.1 1
-1902  3 13    -3.6    -4.1    -4.1 1
-1902  3 14    -0.8    -1.3    -1.3 1
-1902  3 15     1.0     0.5     0.5 1
-1902  3 16     2.0     1.5     1.5 1
-1902  3 17     0.7     0.2     0.2 1
-1902  3 18    -1.7    -2.2    -2.2 1
-1902  3 19     3.7     3.2     3.2 1
-1902  3 20     2.6     2.1     2.1 1
-1902  3 21    -7.1    -7.6    -7.6 1
-1902  3 22    -5.7    -6.2    -6.2 1
-1902  3 23    -2.9    -3.4    -3.4 1
-1902  3 24     1.6     1.1     1.1 1
-1902  3 25    -1.2    -1.7    -1.7 1
-1902  3 26    -0.5    -1.0    -1.0 1
-1902  3 27    -2.0    -2.5    -2.5 1
-1902  3 28    -3.9    -4.4    -4.4 1
-1902  3 29    -2.6    -3.1    -3.1 1
-1902  3 30    -0.1    -0.6    -0.6 1
-1902  3 31    -1.7    -2.2    -2.2 1
-1902  4  1    -4.5    -5.0    -5.0 1
-1902  4  2    -3.4    -3.9    -3.9 1
-1902  4  3    -2.8    -3.3    -3.3 1
-1902  4  4    -0.3    -0.8    -0.8 1
-1902  4  5    -1.6    -2.1    -2.1 1
-1902  4  6     1.1     0.6     0.6 1
-1902  4  7    -0.3    -0.8    -0.8 1
-1902  4  8    -3.4    -3.9    -3.9 1
-1902  4  9    -1.3    -1.8    -1.8 1
-1902  4 10    -0.7    -1.2    -1.2 1
-1902  4 11     0.0    -0.5    -0.5 1
-1902  4 12     0.2    -0.3    -0.3 1
-1902  4 13     0.8     0.3     0.3 1
-1902  4 14     2.3     1.8     1.8 1
-1902  4 15     1.7     1.2     1.2 1
-1902  4 16     3.2     2.7     2.7 1
-1902  4 17     4.1     3.6     3.6 1
-1902  4 18     4.5     4.0     4.0 1
-1902  4 19     6.6     6.1     6.1 1
-1902  4 20     5.2     4.7     4.7 1
-1902  4 21     3.4     2.9     2.9 1
-1902  4 22     0.6     0.1     0.1 1
-1902  4 23     2.3     1.7     1.7 1
-1902  4 24     3.0     2.4     2.4 1
-1902  4 25     1.8     1.2     1.2 1
-1902  4 26     0.6     0.0     0.0 1
-1902  4 27    -0.6    -1.2    -1.2 1
-1902  4 28     1.1     0.5     0.5 1
-1902  4 29     2.9     2.3     2.3 1
-1902  4 30     1.3     0.7     0.7 1
-1902  5  1     1.0     0.4     0.4 1
-1902  5  2     2.2     1.6     1.6 1
-1902  5  3     3.1     2.4     2.4 1
-1902  5  4     2.7     2.0     2.0 1
-1902  5  5     4.2     3.5     3.5 1
-1902  5  6     3.1     2.4     2.4 1
-1902  5  7     2.2     1.5     1.5 1
-1902  5  8     0.2    -0.5    -0.5 1
-1902  5  9     0.4    -0.3    -0.3 1
-1902  5 10     1.5     0.8     0.8 1
-1902  5 11     2.4     1.7     1.7 1
-1902  5 12     2.1     1.4     1.4 1
-1902  5 13     5.1     4.3     4.3 1
-1902  5 14     4.4     3.6     3.6 1
-1902  5 15     6.4     5.6     5.6 1
-1902  5 16     6.4     5.6     5.6 1
-1902  5 17     4.9     4.1     4.1 1
-1902  5 18     7.4     6.6     6.6 1
-1902  5 19     4.7     4.0     4.0 1
-1902  5 20     5.9     5.2     5.2 1
-1902  5 21     9.1     8.4     8.4 1
-1902  5 22    10.6     9.9     9.9 1
-1902  5 23    10.3     9.6     9.6 1
-1902  5 24    11.1    10.4    10.4 1
-1902  5 25    13.0    12.3    12.3 1
-1902  5 26    10.4     9.7     9.7 1
-1902  5 27    12.1    11.4    11.4 1
-1902  5 28    12.2    11.5    11.5 1
-1902  5 29    14.6    13.9    13.9 1
-1902  5 30    12.7    12.0    12.0 1
-1902  5 31    14.4    13.8    13.8 1
-1902  6  1     6.6     6.0     6.0 1
-1902  6  2     9.6     9.0     9.0 1
-1902  6  3    15.2    14.6    14.6 1
-1902  6  4    18.5    17.9    17.9 1
-1902  6  5    14.0    13.4    13.4 1
-1902  6  6     6.3     5.7     5.7 1
-1902  6  7     8.5     7.9     7.9 1
-1902  6  8     8.7     8.1     8.1 1
-1902  6  9     5.7     5.1     5.1 1
-1902  6 10     8.1     7.5     7.5 1
-1902  6 11    11.3    10.7    10.7 1
-1902  6 12    11.0    10.5    10.5 1
-1902  6 13    12.5    12.0    12.0 1
-1902  6 14    13.7    13.2    13.2 1
-1902  6 15    11.0    10.5    10.5 1
-1902  6 16     8.6     8.1     8.1 1
-1902  6 17    10.8    10.3    10.3 1
-1902  6 18    12.9    12.4    12.4 1
-1902  6 19    14.6    14.1    14.1 1
-1902  6 20    13.3    12.8    12.8 1
-1902  6 21     9.6     9.1     9.1 1
-1902  6 22     7.7     7.2     7.2 1
-1902  6 23     8.1     7.6     7.6 1
-1902  6 24    12.8    12.3    12.3 1
-1902  6 25    16.5    16.0    16.0 1
-1902  6 26    17.4    16.9    16.9 1
-1902  6 27    17.0    16.5    16.5 1
-1902  6 28    21.8    21.3    21.3 1
-1902  6 29    15.0    14.5    14.5 1
-1902  6 30    14.6    14.1    14.1 1
-1902  7  1    15.1    14.6    14.6 1
-1902  7  2    11.3    10.8    10.8 1
-1902  7  3    11.3    10.8    10.8 1
-1902  7  4    15.4    14.9    14.9 1
-1902  7  5    12.0    11.5    11.5 1
-1902  7  6    14.4    13.9    13.9 1
-1902  7  7    14.3    13.8    13.8 1
-1902  7  8    12.7    12.2    12.2 1
-1902  7  9    12.4    11.9    11.9 1
-1902  7 10    11.3    10.8    10.8 1
-1902  7 11    10.5    10.0    10.0 1
-1902  7 12    10.7    10.2    10.2 1
-1902  7 13    13.8    13.3    13.3 1
-1902  7 14    12.3    11.8    11.8 1
-1902  7 15    13.6    13.0    13.0 1
-1902  7 16    16.8    16.3    16.3 1
-1902  7 17    16.2    15.7    15.7 1
-1902  7 18    15.7    15.2    15.2 1
-1902  7 19    15.0    14.5    14.5 1
-1902  7 20    13.7    13.2    13.2 1
-1902  7 21    14.7    14.2    14.2 1
-1902  7 22    15.3    14.8    14.8 1
-1902  7 23    15.1    14.6    14.6 1
-1902  7 24    14.3    13.8    13.8 1
-1902  7 25    16.3    15.8    15.8 1
-1902  7 26    14.9    14.4    14.4 1
-1902  7 27    15.0    14.5    14.5 1
-1902  7 28    14.0    13.5    13.5 1
-1902  7 29    12.2    11.7    11.7 1
-1902  7 30    12.9    12.4    12.4 1
-1902  7 31    12.7    12.2    12.2 1
-1902  8  1    13.2    12.7    12.7 1
-1902  8  2    15.3    14.8    14.8 1
-1902  8  3    15.8    15.3    15.3 1
-1902  8  4    13.7    13.2    13.2 1
-1902  8  5    13.8    13.3    13.3 1
-1902  8  6    13.6    13.1    13.1 1
-1902  8  7    14.3    13.8    13.8 1
-1902  8  8    14.0    13.5    13.5 1
-1902  8  9    13.3    12.8    12.8 1
-1902  8 10    12.3    11.8    11.8 1
-1902  8 11    12.7    12.2    12.2 1
-1902  8 12    12.6    12.1    12.1 1
-1902  8 13    12.3    11.8    11.8 1
-1902  8 14    12.8    12.3    12.3 1
-1902  8 15    11.7    11.2    11.2 1
-1902  8 16    12.8    12.3    12.3 1
-1902  8 17    12.5    12.0    12.0 1
-1902  8 18    14.3    13.8    13.8 1
-1902  8 19    14.3    13.8    13.8 1
-1902  8 20    14.7    14.2    14.2 1
-1902  8 21    12.6    12.1    12.1 1
-1902  8 22    11.7    11.2    11.2 1
-1902  8 23    11.9    11.4    11.4 1
-1902  8 24    14.0    13.5    13.5 1
-1902  8 25    14.1    13.7    13.7 1
-1902  8 26    14.6    14.2    14.2 1
-1902  8 27    13.9    13.5    13.5 1
-1902  8 28    13.7    13.3    13.3 1
-1902  8 29    13.6    13.2    13.2 1
-1902  8 30    12.7    12.3    12.3 1
-1902  8 31    13.8    13.4    13.4 1
-1902  9  1    12.3    11.9    11.9 1
-1902  9  2    12.9    12.5    12.5 1
-1902  9  3    14.7    14.3    14.3 1
-1902  9  4    15.6    15.2    15.2 1
-1902  9  5    15.7    15.3    15.3 1
-1902  9  6    13.7    13.3    13.3 1
-1902  9  7    10.9    10.6    10.6 1
-1902  9  8    12.4    12.1    12.1 1
-1902  9  9    15.1    14.8    14.8 1
-1902  9 10    10.1     9.8     9.8 1
-1902  9 11     8.3     8.0     8.0 1
-1902  9 12    10.4    10.1    10.1 1
-1902  9 13     7.2     6.9     6.9 1
-1902  9 14     6.8     6.5     6.5 1
-1902  9 15     9.3     9.0     9.0 1
-1902  9 16    11.4    11.1    11.1 1
-1902  9 17    10.5    10.2    10.2 1
-1902  9 18     6.8     6.5     6.5 1
-1902  9 19     5.0     4.7     4.7 1
-1902  9 20     4.0     3.7     3.7 1
-1902  9 21     4.1     3.8     3.8 1
-1902  9 22     8.1     7.8     7.8 1
-1902  9 23     8.6     8.3     8.3 1
-1902  9 24     9.4     9.1     9.1 1
-1902  9 25     9.0     8.7     8.7 1
-1902  9 26     9.1     8.9     8.9 1
-1902  9 27     9.0     8.8     8.8 1
-1902  9 28     6.2     6.0     6.0 1
-1902  9 29     9.6     9.4     9.4 1
-1902  9 30     4.5     4.3     4.3 1
-1902 10  1     3.3     3.1     3.1 1
-1902 10  2     2.8     2.6     2.6 1
-1902 10  3     7.8     7.6     7.6 1
-1902 10  4     2.5     2.3     2.3 1
-1902 10  5     4.3     4.1     4.1 1
-1902 10  6     5.0     4.8     4.8 1
-1902 10  7     4.1     3.9     3.9 1
-1902 10  8     3.4     3.2     3.2 1
-1902 10  9     2.0     1.8     1.8 1
-1902 10 10     5.1     4.9     4.9 1
-1902 10 11     5.4     5.2     5.2 1
-1902 10 12     4.1     3.9     3.9 1
-1902 10 13     4.4     4.2     4.2 1
-1902 10 14     7.7     7.5     7.5 1
-1902 10 15     2.8     2.6     2.6 1
-1902 10 16     5.9     5.7     5.7 1
-1902 10 17     8.5     8.3     8.3 1
-1902 10 18     6.7     6.5     6.5 1
-1902 10 19     1.8     1.6     1.6 1
-1902 10 20    -0.1    -0.3    -0.3 1
-1902 10 21     4.5     4.3     4.3 1
-1902 10 22     4.7     4.5     4.5 1
-1902 10 23     3.9     3.7     3.7 1
-1902 10 24    10.7    10.5    10.5 1
-1902 10 25     5.2     5.0     5.0 1
-1902 10 26     4.1     3.9     3.9 1
-1902 10 27     4.8     4.6     4.6 1
-1902 10 28     5.9     5.7     5.7 1
-1902 10 29     7.2     7.0     7.0 1
-1902 10 30     6.9     6.7     6.7 1
-1902 10 31     3.9     3.7     3.7 1
-1902 11  1     9.8     9.5     9.5 1
-1902 11  2     5.4     5.1     5.1 1
-1902 11  3     5.2     4.9     4.9 1
-1902 11  4     3.0     2.7     2.7 1
-1902 11  5     1.8     1.5     1.5 1
-1902 11  6    -0.5    -0.8    -0.8 1
-1902 11  7     2.6     2.3     2.3 1
-1902 11  8     4.6     4.3     4.3 1
-1902 11  9     5.7     5.4     5.4 1
-1902 11 10     6.5     6.2     6.2 1
-1902 11 11     5.2     4.9     4.9 1
-1902 11 12     3.4     3.1     3.1 1
-1902 11 13     5.7     5.4     5.4 1
-1902 11 14     6.5     6.2     6.2 1
-1902 11 15     3.4     3.1     3.1 1
-1902 11 16     0.6     0.3     0.3 1
-1902 11 17    -0.8    -1.1    -1.1 1
-1902 11 18    -1.7    -2.0    -2.0 1
-1902 11 19    -1.7    -2.0    -2.0 1
-1902 11 20    -1.2    -1.5    -1.5 1
-1902 11 21     0.5     0.2     0.2 1
-1902 11 22     0.5     0.2     0.2 1
-1902 11 23    -0.7    -1.0    -1.0 1
-1902 11 24    -3.4    -3.7    -3.7 1
-1902 11 25    -0.7    -1.0    -1.0 1
-1902 11 26    -3.9    -4.2    -4.2 1
-1902 11 27    -0.5    -0.8    -0.8 1
-1902 11 28    -2.3    -2.6    -2.6 1
-1902 11 29    -5.4    -5.7    -5.7 1
-1902 11 30    -5.3    -5.6    -5.6 1
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-1902 12  2   -10.1   -10.4   -10.4 1
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-1902 12  4    -8.2    -8.5    -8.5 1
-1902 12  5    -8.1    -8.4    -8.4 1
-1902 12  6    -9.0    -9.3    -9.3 1
-1902 12  7    -6.7    -7.0    -7.0 1
-1902 12  8    -5.5    -5.8    -5.8 1
-1902 12  9    -5.6    -5.9    -5.9 1
-1902 12 10    -5.6    -5.9    -5.9 1
-1902 12 11    -7.3    -7.6    -7.6 1
-1902 12 12    -8.0    -8.3    -8.3 1
-1902 12 13    -2.9    -3.2    -3.2 1
-1902 12 14    -3.1    -3.4    -3.4 1
-1902 12 15     2.4     2.1     2.1 1
-1902 12 16     0.6     0.3     0.3 1
-1902 12 17     1.5     1.2     1.2 1
-1902 12 18    -2.6    -2.9    -2.9 1
-1902 12 19    -1.7    -2.0    -2.0 1
-1902 12 20     0.4     0.1     0.1 1
-1902 12 21    -1.2    -1.5    -1.5 1
-1902 12 22    -6.1    -6.5    -6.5 1
-1902 12 23     0.7     0.3     0.3 1
-1902 12 24     2.3     1.9     1.9 1
-1902 12 25     2.8     2.4     2.4 1
-1902 12 26    -4.0    -4.4    -4.4 1
-1902 12 27    -3.6    -4.0    -4.0 1
-1902 12 28    -2.1    -2.5    -2.5 1
-1902 12 29    -3.1    -3.5    -3.5 1
-1902 12 30    -5.3    -5.7    -5.7 1
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-1903  1  2   -13.2   -13.6   -13.6 1
-1903  1  3    -3.7    -4.1    -4.1 1
-1903  1  4     0.8     0.4     0.4 1
-1903  1  5     1.5     1.0     1.0 1
-1903  1  6    -0.1    -0.6    -0.6 1
-1903  1  7     3.4     2.9     2.9 1
-1903  1  8     2.1     1.6     1.6 1
-1903  1  9    -0.6    -1.1    -1.1 1
-1903  1 10     0.7     0.2     0.2 1
-1903  1 11    -3.7    -4.2    -4.2 1
-1903  1 12   -12.7   -13.2   -13.2 1
-1903  1 13   -11.6   -12.1   -12.1 1
-1903  1 14    -6.4    -6.9    -6.9 1
-1903  1 15    -8.5    -9.0    -9.0 1
-1903  1 16    -7.7    -8.2    -8.2 1
-1903  1 17    -3.3    -3.8    -3.8 1
-1903  1 18    -9.6   -10.1   -10.1 1
-1903  1 19    -8.5    -9.0    -9.0 1
-1903  1 20    -8.9    -9.4    -9.4 1
-1903  1 21   -10.2   -10.7   -10.7 1
-1903  1 22    -7.5    -8.0    -8.0 1
-1903  1 23    -3.8    -4.3    -4.3 1
-1903  1 24    -1.1    -1.6    -1.6 1
-1903  1 25     0.6     0.1     0.1 1
-1903  1 26     2.3     1.8     1.8 1
-1903  1 27     4.9     4.4     4.4 1
-1903  1 28     3.8     3.3     3.3 1
-1903  1 29     2.5     2.0     2.0 1
-1903  1 30     5.2     4.7     4.7 1
-1903  1 31     3.4     2.9     2.9 1
-1903  2  1     2.2     1.7     1.7 1
-1903  2  2     1.6     1.1     1.1 1
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-1903  2  4     0.4    -0.1    -0.1 1
-1903  2  5     4.6     4.1     4.1 1
-1903  2  6     3.3     2.8     2.8 1
-1903  2  7     3.6     3.1     3.1 1
-1903  2  8     3.8     3.3     3.3 1
-1903  2  9     1.3     0.8     0.8 1
-1903  2 10     0.5     0.0     0.0 1
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-1903  2 12    -1.6    -2.1    -2.1 1
-1903  2 13    -4.9    -5.4    -5.4 1
-1903  2 14    -7.7    -8.2    -8.2 1
-1903  2 15    -7.8    -8.3    -8.3 1
-1903  2 16    -8.3    -8.8    -8.8 1
-1903  2 17    -1.8    -2.3    -2.3 1
-1903  2 18    -3.6    -4.1    -4.1 1
-1903  2 19     4.1     3.6     3.6 1
-1903  2 20     5.6     5.1     5.1 1
-1903  2 21     5.3     4.8     4.8 1
-1903  2 22     4.4     3.9     3.9 1
-1903  2 23     3.3     2.8     2.8 1
-1903  2 24     1.7     1.2     1.2 1
-1903  2 25     2.8     2.3     2.3 1
-1903  2 26     4.0     3.5     3.5 1
-1903  2 27     3.2     2.7     2.7 1
-1903  2 28     4.2     3.7     3.7 1
-1903  3  1     2.6     2.1     2.1 1
-1903  3  2     0.8     0.3     0.3 1
-1903  3  3     2.5     2.0     2.0 1
-1903  3  4     3.1     2.6     2.6 1
-1903  3  5     3.2     2.7     2.7 1
-1903  3  6     2.7     2.2     2.2 1
-1903  3  7     3.0     2.5     2.5 1
-1903  3  8     2.0     1.5     1.5 1
-1903  3  9     1.6     1.1     1.1 1
-1903  3 10     0.8     0.3     0.3 1
-1903  3 11     0.3    -0.2    -0.2 1
-1903  3 12     0.5     0.0     0.0 1
-1903  3 13     0.6     0.1     0.1 1
-1903  3 14     1.1     0.6     0.6 1
-1903  3 15     2.0     1.5     1.5 1
-1903  3 16     2.1     1.6     1.6 1
-1903  3 17     0.6     0.1     0.1 1
-1903  3 18     1.4     0.9     0.9 1
-1903  3 19     4.2     3.7     3.7 1
-1903  3 20     6.5     6.0     6.0 1
-1903  3 21     5.9     5.4     5.4 1
-1903  3 22     9.2     8.7     8.7 1
-1903  3 23    10.4     9.9     9.9 1
-1903  3 24     6.3     5.8     5.8 1
-1903  3 25     3.6     3.1     3.1 1
-1903  3 26     8.0     7.5     7.5 1
-1903  3 27     8.2     7.7     7.7 1
-1903  3 28     7.4     6.9     6.9 1
-1903  3 29     7.5     7.0     7.0 1
-1903  3 30     7.0     6.5     6.5 1
-1903  3 31     4.8     4.3     4.3 1
-1903  4  1    -0.7    -1.2    -1.2 1
-1903  4  2    -1.1    -1.6    -1.6 1
-1903  4  3    -3.1    -3.6    -3.6 1
-1903  4  4    -0.7    -1.2    -1.2 1
-1903  4  5     1.7     1.2     1.2 1
-1903  4  6     0.0    -0.5    -0.5 1
-1903  4  7     2.5     2.0     2.0 1
-1903  4  8     1.6     1.1     1.1 1
-1903  4  9     2.1     1.6     1.6 1
-1903  4 10     4.5     4.0     4.0 1
-1903  4 11     4.8     4.3     4.3 1
-1903  4 12     4.2     3.7     3.7 1
-1903  4 13     3.4     2.9     2.9 1
-1903  4 14     2.5     2.0     2.0 1
-1903  4 15     2.9     2.4     2.4 1
-1903  4 16     2.4     1.9     1.9 1
-1903  4 17     2.1     1.6     1.6 1
-1903  4 18     0.9     0.4     0.4 1
-1903  4 19     0.2    -0.3    -0.3 1
-1903  4 20     2.6     2.1     2.1 1
-1903  4 21     2.6     2.1     2.1 1
-1903  4 22     2.8     2.3     2.3 1
-1903  4 23     2.9     2.3     2.3 1
-1903  4 24     4.0     3.4     3.4 1
-1903  4 25     8.9     8.3     8.3 1
-1903  4 26     8.6     8.0     8.0 1
-1903  4 27     8.0     7.4     7.4 1
-1903  4 28     7.1     6.5     6.5 1
-1903  4 29     7.8     7.2     7.2 1
-1903  4 30     9.4     8.8     8.8 1
-1903  5  1     6.7     6.1     6.1 1
-1903  5  2     4.2     3.6     3.6 1
-1903  5  3     4.8     4.1     4.1 1
-1903  5  4     6.4     5.7     5.7 1
-1903  5  5     5.0     4.3     4.3 1
-1903  5  6     6.0     5.3     5.3 1
-1903  5  7     4.7     4.0     4.0 1
-1903  5  8     4.2     3.5     3.5 1
-1903  5  9     5.7     5.0     5.0 1
-1903  5 10     5.1     4.4     4.4 1
-1903  5 11     6.0     5.3     5.3 1
-1903  5 12     7.8     7.1     7.1 1
-1903  5 13     6.4     5.6     5.6 1
-1903  5 14     8.6     7.8     7.8 1
-1903  5 15    11.8    11.0    11.0 1
-1903  5 16    10.6     9.8     9.8 1
-1903  5 17     9.7     8.9     8.9 1
-1903  5 18     6.1     5.3     5.3 1
-1903  5 19     7.1     6.4     6.4 1
-1903  5 20     9.2     8.5     8.5 1
-1903  5 21    11.8    11.1    11.1 1
-1903  5 22    13.6    12.9    12.9 1
-1903  5 23    15.2    14.5    14.5 1
-1903  5 24    12.9    12.2    12.2 1
-1903  5 25    13.2    12.5    12.5 1
-1903  5 26    15.0    14.3    14.3 1
-1903  5 27    14.4    13.7    13.7 1
-1903  5 28    15.5    14.8    14.8 1
-1903  5 29    19.4    18.7    18.7 1
-1903  5 30    19.7    19.0    19.0 1
-1903  5 31    19.7    19.1    19.1 1
-1903  6  1    19.8    19.2    19.2 1
-1903  6  2    20.2    19.6    19.6 1
-1903  6  3    11.8    11.2    11.2 1
-1903  6  4    10.1     9.5     9.5 1
-1903  6  5    12.8    12.2    12.2 1
-1903  6  6    12.0    11.4    11.4 1
-1903  6  7    13.3    12.7    12.7 1
-1903  6  8    15.7    15.1    15.1 1
-1903  6  9    15.5    14.9    14.9 1
-1903  6 10    18.2    17.6    17.6 1
-1903  6 11    10.0     9.4     9.4 1
-1903  6 12     8.7     8.2     8.2 1
-1903  6 13     9.0     8.5     8.5 1
-1903  6 14    10.5    10.0    10.0 1
-1903  6 15    14.0    13.5    13.5 1
-1903  6 16    15.2    14.7    14.7 1
-1903  6 17    16.6    16.1    16.1 1
-1903  6 18    15.5    15.0    15.0 1
-1903  6 19    14.1    13.6    13.6 1
-1903  6 20    13.2    12.7    12.7 1
-1903  6 21     7.4     6.9     6.9 1
-1903  6 22    12.3    11.8    11.8 1
-1903  6 23    15.4    14.9    14.9 1
-1903  6 24    15.0    14.5    14.5 1
-1903  6 25    16.8    16.3    16.3 1
-1903  6 26    12.2    11.7    11.7 1
-1903  6 27    15.3    14.8    14.8 1
-1903  6 28    17.0    16.5    16.5 1
-1903  6 29    18.0    17.5    17.5 1
-1903  6 30    18.9    18.4    18.4 1
-1903  7  1    17.2    16.7    16.7 1
-1903  7  2    19.6    19.1    19.1 1
-1903  7  3    18.1    17.6    17.6 1
-1903  7  4    17.2    16.7    16.7 1
-1903  7  5    17.1    16.6    16.6 1
-1903  7  6    15.2    14.7    14.7 1
-1903  7  7    13.9    13.4    13.4 1
-1903  7  8    15.6    15.1    15.1 1
-1903  7  9    14.1    13.6    13.6 1
-1903  7 10    16.9    16.4    16.4 1
-1903  7 11    18.3    17.8    17.8 1
-1903  7 12    15.0    14.5    14.5 1
-1903  7 13    14.9    14.4    14.4 1
-1903  7 14    13.3    12.8    12.8 1
-1903  7 15    13.6    13.0    13.0 1
-1903  7 16    14.6    14.1    14.1 1
-1903  7 17    14.0    13.5    13.5 1
-1903  7 18    13.5    13.0    13.0 1
-1903  7 19    13.6    13.1    13.1 1
-1903  7 20    15.5    15.0    15.0 1
-1903  7 21    15.9    15.4    15.4 1
-1903  7 22    17.8    17.3    17.3 1
-1903  7 23    16.7    16.2    16.2 1
-1903  7 24    18.3    17.8    17.8 1
-1903  7 25    19.6    19.1    19.1 1
-1903  7 26    20.9    20.4    20.4 1
-1903  7 27    19.4    18.9    18.9 1
-1903  7 28    18.9    18.4    18.4 1
-1903  7 29    18.6    18.1    18.1 1
-1903  7 30    17.1    16.6    16.6 1
-1903  7 31    16.4    15.9    15.9 1
-1903  8  1    17.5    17.0    17.0 1
-1903  8  2    16.4    15.9    15.9 1
-1903  8  3    15.2    14.7    14.7 1
-1903  8  4    16.7    16.2    16.2 1
-1903  8  5    14.5    14.0    14.0 1
-1903  8  6    13.6    13.1    13.1 1
-1903  8  7    12.4    11.9    11.9 1
-1903  8  8    14.7    14.2    14.2 1
-1903  8  9    16.0    15.5    15.5 1
-1903  8 10    16.5    16.0    16.0 1
-1903  8 11    15.9    15.4    15.4 1
-1903  8 12    15.6    15.1    15.1 1
-1903  8 13    15.4    14.9    14.9 1
-1903  8 14    14.3    13.8    13.8 1
-1903  8 15    16.2    15.7    15.7 1
-1903  8 16    15.2    14.7    14.7 1
-1903  8 17    13.7    13.2    13.2 1
-1903  8 18    13.8    13.3    13.3 1
-1903  8 19    14.6    14.1    14.1 1
-1903  8 20    13.8    13.3    13.3 1
-1903  8 21    13.6    13.1    13.1 1
-1903  8 22    14.4    13.9    13.9 1
-1903  8 23    13.7    13.2    13.2 1
-1903  8 24    11.1    10.6    10.6 1
-1903  8 25    13.2    12.8    12.8 1
-1903  8 26    12.7    12.3    12.3 1
-1903  8 27    13.6    13.2    13.2 1
-1903  8 28    14.8    14.4    14.4 1
-1903  8 29    13.6    13.2    13.2 1
-1903  8 30    12.9    12.5    12.5 1
-1903  8 31    11.4    11.0    11.0 1
-1903  9  1    12.6    12.2    12.2 1
-1903  9  2    13.4    13.0    13.0 1
-1903  9  3    15.9    15.5    15.5 1
-1903  9  4    14.2    13.8    13.8 1
-1903  9  5    14.4    14.0    14.0 1
-1903  9  6    16.3    15.9    15.9 1
-1903  9  7    13.2    12.9    12.9 1
-1903  9  8    12.8    12.5    12.5 1
-1903  9  9    12.4    12.1    12.1 1
-1903  9 10     9.6     9.3     9.3 1
-1903  9 11     9.7     9.4     9.4 1
-1903  9 12     9.5     9.2     9.2 1
-1903  9 13     9.9     9.6     9.6 1
-1903  9 14    10.5    10.2    10.2 1
-1903  9 15    10.6    10.3    10.3 1
-1903  9 16    11.5    11.2    11.2 1
-1903  9 17    12.3    12.0    12.0 1
-1903  9 18    12.6    12.3    12.3 1
-1903  9 19    11.2    10.9    10.9 1
-1903  9 20    12.9    12.6    12.6 1
-1903  9 21    13.3    13.0    13.0 1
-1903  9 22    13.5    13.2    13.2 1
-1903  9 23    13.3    13.0    13.0 1
-1903  9 24    13.0    12.7    12.7 1
-1903  9 25    12.7    12.4    12.4 1
-1903  9 26    11.2    11.0    11.0 1
-1903  9 27    11.3    11.1    11.1 1
-1903  9 28    11.4    11.2    11.2 1
-1903  9 29    11.3    11.1    11.1 1
-1903  9 30    11.5    11.3    11.3 1
-1903 10  1    12.5    12.3    12.3 1
-1903 10  2    10.3    10.1    10.1 1
-1903 10  3     7.0     6.8     6.8 1
-1903 10  4     1.6     1.4     1.4 1
-1903 10  5     0.9     0.7     0.7 1
-1903 10  6     2.9     2.7     2.7 1
-1903 10  7     3.8     3.6     3.6 1
-1903 10  8     0.7     0.5     0.5 1
-1903 10  9     1.7     1.5     1.5 1
-1903 10 10     1.6     1.4     1.4 1
-1903 10 11     1.3     1.1     1.1 1
-1903 10 12     3.6     3.4     3.4 1
-1903 10 13     2.6     2.4     2.4 1
-1903 10 14     3.2     3.0     3.0 1
-1903 10 15     4.8     4.6     4.6 1
-1903 10 16     7.8     7.6     7.6 1
-1903 10 17     4.0     3.8     3.8 1
-1903 10 18     1.0     0.8     0.8 1
-1903 10 19     0.9     0.7     0.7 1
-1903 10 20     2.0     1.8     1.8 1
-1903 10 21     2.8     2.6     2.6 1
-1903 10 22     5.5     5.3     5.3 1
-1903 10 23     7.0     6.8     6.8 1
-1903 10 24     7.7     7.5     7.5 1
-1903 10 25     6.7     6.5     6.5 1
-1903 10 26     7.8     7.6     7.6 1
-1903 10 27     7.6     7.4     7.4 1
-1903 10 28     5.6     5.4     5.4 1
-1903 10 29     7.1     6.9     6.9 1
-1903 10 30     7.2     7.0     7.0 1
-1903 10 31     8.3     8.1     8.1 1
-1903 11  1     7.9     7.6     7.6 1
-1903 11  2     4.6     4.3     4.3 1
-1903 11  3     4.4     4.1     4.1 1
-1903 11  4     7.9     7.6     7.6 1
-1903 11  5     3.9     3.6     3.6 1
-1903 11  6     4.8     4.5     4.5 1
-1903 11  7     5.3     5.0     5.0 1
-1903 11  8     3.1     2.8     2.8 1
-1903 11  9     5.4     5.1     5.1 1
-1903 11 10     5.3     5.0     5.0 1
-1903 11 11     2.2     1.9     1.9 1
-1903 11 12    -0.6    -0.9    -0.9 1
-1903 11 13    -1.2    -1.5    -1.5 1
-1903 11 14     0.7     0.4     0.4 1
-1903 11 15     2.7     2.4     2.4 1
-1903 11 16     0.6     0.3     0.3 1
-1903 11 17     0.0    -0.3    -0.3 1
-1903 11 18    -1.2    -1.5    -1.5 1
-1903 11 19    -1.9    -2.2    -2.2 1
-1903 11 20     0.6     0.3     0.3 1
-1903 11 21     1.6     1.3     1.3 1
-1903 11 22    -3.6    -3.9    -3.9 1
-1903 11 23    -1.2    -1.5    -1.5 1
-1903 11 24     2.4     2.1     2.1 1
-1903 11 25    -1.5    -1.8    -1.8 1
-1903 11 26    -6.8    -7.1    -7.1 1
-1903 11 27    -6.6    -6.9    -6.9 1
-1903 11 28    -7.6    -7.9    -7.9 1
-1903 11 29    -5.0    -5.3    -5.3 1
-1903 11 30   -10.5   -10.8   -10.8 1
-1903 12  1    -1.6    -1.9    -1.9 1
-1903 12  2    -3.9    -4.2    -4.2 1
-1903 12  3    -6.1    -6.4    -6.4 1
-1903 12  4     1.6     1.3     1.3 1
-1903 12  5     2.5     2.2     2.2 1
-1903 12  6     0.9     0.6     0.6 1
-1903 12  7     2.2     1.9     1.9 1
-1903 12  8     3.8     3.5     3.5 1
-1903 12  9     3.1     2.8     2.8 1
-1903 12 10     4.2     3.9     3.9 1
-1903 12 11     1.8     1.5     1.5 1
-1903 12 12     2.9     2.6     2.6 1
-1903 12 13     2.6     2.3     2.3 1
-1903 12 14     1.1     0.8     0.8 1
-1903 12 15    -1.2    -1.5    -1.5 1
-1903 12 16    -1.0    -1.3    -1.3 1
-1903 12 17    -1.5    -1.8    -1.8 1
-1903 12 18    -0.7    -1.0    -1.0 1
-1903 12 19    -1.4    -1.7    -1.7 1
-1903 12 20    -2.7    -3.0    -3.0 1
-1903 12 21    -1.1    -1.4    -1.4 1
-1903 12 22     1.1     0.7     0.7 1
-1903 12 23    -0.6    -1.0    -1.0 1
-1903 12 24    -1.1    -1.5    -1.5 1
-1903 12 25     0.4     0.0     0.0 1
-1903 12 26    -1.2    -1.6    -1.6 1
-1903 12 27    -3.5    -3.9    -3.9 1
-1903 12 28    -2.8    -3.2    -3.2 1
-1903 12 29    -1.1    -1.5    -1.5 1
-1903 12 30    -2.3    -2.7    -2.7 1
-1903 12 31    -4.2    -4.6    -4.6 1
-1904  1  1    -5.0    -5.2    -5.2 1
-1904  1  2    -1.7    -1.9    -1.9 1
-1904  1  3    -1.4    -1.7    -1.7 1
-1904  1  4    -1.2    -1.5    -1.5 1
-1904  1  5    -0.8    -1.1    -1.1 1
-1904  1  6    -2.7    -3.0    -3.0 1
-1904  1  7    -3.4    -3.7    -3.7 1
-1904  1  8    -0.2    -0.5    -0.5 1
-1904  1  9     0.2    -0.1    -0.1 1
-1904  1 10     0.9     0.6     0.6 1
-1904  1 11     1.8     1.5     1.5 1
-1904  1 12     0.8     0.5     0.5 1
-1904  1 13     1.1     0.7     0.7 1
-1904  1 14     0.9     0.5     0.5 1
-1904  1 15     1.7     1.3     1.3 1
-1904  1 16     0.4     0.0     0.0 1
-1904  1 17    -2.2    -2.6    -2.6 1
-1904  1 18    -2.8    -3.2    -3.2 1
-1904  1 19    -2.7    -3.1    -3.1 1
-1904  1 20     1.0     0.7     0.7 1
-1904  1 21    -0.2    -0.5    -0.5 1
-1904  1 22    -3.4    -3.7    -3.7 1
-1904  1 23     3.5     3.2     3.2 1
-1904  1 24     2.1     1.8     1.8 1
-1904  1 25     1.6     1.3     1.3 1
-1904  1 26     0.7     0.4     0.4 1
-1904  1 27     0.8     0.5     0.5 1
-1904  1 28     2.3     2.0     2.0 1
-1904  1 29     1.9     1.6     1.6 1
-1904  1 30     0.8     0.5     0.5 1
-1904  1 31     0.7     0.4     0.4 1
-1904  2  1    -2.5    -2.8    -2.8 1
-1904  2  2    -1.8    -2.1    -2.1 1
-1904  2  3    -2.8    -3.1    -3.1 1
-1904  2  4    -4.2    -4.5    -4.5 1
-1904  2  5    -5.8    -6.1    -6.1 1
-1904  2  6    -1.4    -1.7    -1.7 1
-1904  2  7    -5.3    -5.6    -5.6 1
-1904  2  8    -8.3    -8.6    -8.6 1
-1904  2  9    -8.8    -9.1    -9.1 1
-1904  2 10    -8.3    -8.6    -8.6 1
-1904  2 11    -0.5    -0.7    -0.7 1
-1904  2 12   -13.2   -13.4   -13.4 1
-1904  2 13    -5.8    -6.0    -6.0 1
-1904  2 14     1.9     1.7     1.7 1
-1904  2 15     1.0     0.8     0.8 1
-1904  2 16    -3.1    -3.3    -3.3 1
-1904  2 17    -5.4    -5.6    -5.6 1
-1904  2 18    -1.3    -1.5    -1.5 1
-1904  2 19    -2.8    -3.0    -3.0 1
-1904  2 20    -5.3    -5.5    -5.5 1
-1904  2 21    -3.6    -3.9    -3.9 1
-1904  2 22    -3.5    -3.8    -3.8 1
-1904  2 23    -2.7    -3.0    -3.0 1
-1904  2 24    -3.5    -3.8    -3.8 1
-1904  2 25    -5.3    -5.6    -5.6 1
-1904  2 26    -7.1    -7.4    -7.4 1
-1904  2 27    -8.6    -8.9    -8.9 1
-1904  2 28    -8.9    -9.2    -9.2 1
-1904  2 29    -6.7    -7.0    -7.0 1
-1904  3  1    -3.8    -4.1    -4.1 1
-1904  3  2    -5.0    -5.3    -5.3 1
-1904  3  3    -3.3    -3.6    -3.6 1
-1904  3  4    -3.4    -3.7    -3.7 1
-1904  3  5    -4.4    -4.7    -4.7 1
-1904  3  6    -6.7    -7.0    -7.0 1
-1904  3  7    -7.5    -7.8    -7.8 1
-1904  3  8    -7.7    -8.0    -8.0 1
-1904  3  9    -5.4    -5.7    -5.7 1
-1904  3 10    -0.2    -0.5    -0.5 1
-1904  3 11    -2.6    -2.9    -2.9 1
-1904  3 12    -2.5    -2.8    -2.8 1
-1904  3 13     0.6     0.3     0.3 1
-1904  3 14     1.4     1.1     1.1 1
-1904  3 15    -0.2    -0.5    -0.5 1
-1904  3 16    -4.2    -4.5    -4.5 1
-1904  3 17    -2.1    -2.4    -2.4 1
-1904  3 18    -1.9    -2.2    -2.2 1
-1904  3 19    -0.6    -0.9    -0.9 1
-1904  3 20     0.8     0.5     0.5 1
-1904  3 21     1.2     0.9     0.9 1
-1904  3 22     2.0     1.7     1.7 1
-1904  3 23     0.6     0.3     0.3 1
-1904  3 24    -1.6    -1.9    -1.9 1
-1904  3 25    -1.6    -1.9    -1.9 1
-1904  3 26     0.0    -0.3    -0.3 1
-1904  3 27     0.4     0.1     0.1 1
-1904  3 28     0.8     0.5     0.5 1
-1904  3 29     1.8     1.5     1.5 1
-1904  3 30     0.1    -0.2    -0.2 1
-1904  3 31    -0.9    -1.2    -1.2 1
-1904  4  1     0.4     0.2     0.2 1
-1904  4  2     0.8     0.6     0.6 1
-1904  4  3     2.1     1.9     1.9 1
-1904  4  4     2.2     2.0     2.0 1
-1904  4  5     1.8     1.6     1.6 1
-1904  4  6     2.7     2.5     2.5 1
-1904  4  7     2.1     1.9     1.9 1
-1904  4  8     3.1     2.9     2.9 1
-1904  4  9     3.4     3.2     3.2 1
-1904  4 10     3.2     3.0     3.0 1
-1904  4 11     2.0     1.8     1.8 1
-1904  4 12     3.5     3.3     3.3 1
-1904  4 13     2.2     2.0     2.0 1
-1904  4 14     0.8     0.6     0.6 1
-1904  4 15     2.2     2.0     2.0 1
-1904  4 16     4.6     4.4     4.4 1
-1904  4 17     6.2     6.0     6.0 1
-1904  4 18     4.9     4.7     4.7 1
-1904  4 19     6.0     5.8     5.8 1
-1904  4 20     7.1     6.9     6.9 1
-1904  4 21     5.6     5.4     5.4 1
-1904  4 22     4.6     4.3     4.3 1
-1904  4 23     6.0     5.7     5.7 1
-1904  4 24     8.3     8.0     8.0 1
-1904  4 25     7.7     7.4     7.4 1
-1904  4 26     5.9     5.6     5.6 1
-1904  4 27     6.2     5.9     5.9 1
-1904  4 28     5.1     4.8     4.8 1
-1904  4 29     4.0     3.7     3.7 1
-1904  4 30     6.4     6.1     6.1 1
-1904  5  1     8.7     8.4     8.4 1
-1904  5  2     5.6     5.2     5.2 1
-1904  5  3     6.1     5.7     5.7 1
-1904  5  4     8.4     8.0     8.0 1
-1904  5  5     4.8     4.4     4.4 1
-1904  5  6     4.0     3.6     3.6 1
-1904  5  7     3.4     3.0     3.0 1
-1904  5  8     5.4     5.0     5.0 1
-1904  5  9     4.4     4.0     4.0 1
-1904  5 10     4.2     3.8     3.8 1
-1904  5 11     4.4     4.0     4.0 1
-1904  5 12     6.2     5.7     5.7 1
-1904  5 13     7.8     7.3     7.3 1
-1904  5 14     8.1     7.6     7.6 1
-1904  5 15     8.6     8.1     8.1 1
-1904  5 16     9.6     9.1     9.1 1
-1904  5 17     9.2     8.7     8.7 1
-1904  5 18    10.1     9.6     9.6 1
-1904  5 19     7.6     7.1     7.1 1
-1904  5 20     6.4     5.9     5.9 1
-1904  5 21     5.3     4.8     4.8 1
-1904  5 22     3.3     2.8     2.8 1
-1904  5 23     4.2     3.7     3.7 1
-1904  5 24     5.8     5.3     5.3 1
-1904  5 25     8.4     8.0     8.0 1
-1904  5 26     8.8     8.4     8.4 1
-1904  5 27    12.3    11.9    11.9 1
-1904  5 28    15.1    14.7    14.7 1
-1904  5 29    10.7    10.3    10.3 1
-1904  5 30    12.2    11.8    11.8 1
-1904  5 31    16.0    15.6    15.6 1
-1904  6  1    17.1    16.7    16.7 1
-1904  6  2    17.1    16.7    16.7 1
-1904  6  3    13.0    12.6    12.6 1
-1904  6  4    10.7    10.3    10.3 1
-1904  6  5    14.0    13.6    13.6 1
-1904  6  6    11.9    11.5    11.5 1
-1904  6  7    10.3     9.9     9.9 1
-1904  6  8     6.8     6.4     6.4 1
-1904  6  9     8.1     7.7     7.7 1
-1904  6 10    10.6    10.2    10.2 1
-1904  6 11    12.4    12.0    12.0 1
-1904  6 12    10.7    10.3    10.3 1
-1904  6 13    15.7    15.3    15.3 1
-1904  6 14    14.3    13.9    13.9 1
-1904  6 15    15.0    14.6    14.6 1
-1904  6 16    16.8    16.4    16.4 1
-1904  6 17    15.4    15.0    15.0 1
-1904  6 18    15.2    14.8    14.8 1
-1904  6 19    14.7    14.3    14.3 1
-1904  6 20    13.4    13.0    13.0 1
-1904  6 21    13.5    13.1    13.1 1
-1904  6 22    13.0    12.6    12.6 1
-1904  6 23     8.9     8.5     8.5 1
-1904  6 24    10.6    10.2    10.2 1
-1904  6 25    12.8    12.4    12.4 1
-1904  6 26    10.5    10.1    10.1 1
-1904  6 27    11.1    10.7    10.7 1
-1904  6 28    12.1    11.7    11.7 1
-1904  6 29    11.3    10.9    10.9 1
-1904  6 30    12.9    12.5    12.5 1
-1904  7  1    12.0    11.6    11.6 1
-1904  7  2    12.5    12.1    12.1 1
-1904  7  3    15.2    14.8    14.8 1
-1904  7  4    14.5    14.1    14.1 1
-1904  7  5    15.1    14.7    14.7 1
-1904  7  6    15.8    15.4    15.4 1
-1904  7  7    16.0    15.6    15.6 1
-1904  7  8    15.2    14.8    14.8 1
-1904  7  9    13.7    13.3    13.3 1
-1904  7 10    14.0    13.6    13.6 1
-1904  7 11    12.7    12.3    12.3 1
-1904  7 12    14.6    14.2    14.2 1
-1904  7 13    18.9    18.5    18.5 1
-1904  7 14    19.4    19.0    19.0 1
-1904  7 15    20.7    20.3    20.3 1
-1904  7 16    23.1    22.8    22.8 1
-1904  7 17    17.6    17.3    17.3 1
-1904  7 18    12.8    12.5    12.5 1
-1904  7 19    10.1     9.8     9.8 1
-1904  7 20    12.5    12.2    12.2 1
-1904  7 21    13.4    13.1    13.1 1
-1904  7 22    15.4    15.1    15.1 1
-1904  7 23    17.4    17.1    17.1 1
-1904  7 24    18.5    18.2    18.2 1
-1904  7 25    14.3    14.0    14.0 1
-1904  7 26    15.4    15.1    15.1 1
-1904  7 27    17.1    16.8    16.8 1
-1904  7 28    17.1    16.9    16.9 1
-1904  7 29    18.5    18.3    18.3 1
-1904  7 30    17.9    17.7    17.7 1
-1904  7 31    18.2    18.0    18.0 1
-1904  8  1    20.3    20.1    20.1 1
-1904  8  2    20.7    20.5    20.5 1
-1904  8  3    22.3    22.1    22.1 1
-1904  8  4    22.0    21.8    21.8 1
-1904  8  5    18.4    18.2    18.2 1
-1904  8  6    20.8    20.6    20.6 1
-1904  8  7    17.7    17.5    17.5 1
-1904  8  8    13.0    12.8    12.8 1
-1904  8  9    14.9    14.7    14.7 1
-1904  8 10    14.3    14.2    14.2 1
-1904  8 11    14.0    13.9    13.9 1
-1904  8 12    13.8    13.7    13.7 1
-1904  8 13    12.6    12.5    12.5 1
-1904  8 14    14.3    14.2    14.2 1
-1904  8 15    13.8    13.7    13.7 1
-1904  8 16    13.7    13.6    13.6 1
-1904  8 17    13.4    13.3    13.3 1
-1904  8 18    13.8    13.7    13.7 1
-1904  8 19    11.9    11.8    11.8 1
-1904  8 20    12.8    12.7    12.7 1
-1904  8 21    13.6    13.5    13.5 1
-1904  8 22    14.2    14.1    14.1 1
-1904  8 23    13.1    13.1    13.1 1
-1904  8 24    11.8    11.8    11.8 1
-1904  8 25    11.0    11.0    11.0 1
-1904  8 26    12.2    12.2    12.2 1
-1904  8 27    13.0    13.0    13.0 1
-1904  8 28    14.2    14.2    14.2 1
-1904  8 29    11.6    11.6    11.6 1
-1904  8 30    12.6    12.6    12.6 1
-1904  8 31    11.7    11.7    11.7 1
-1904  9  1    11.8    11.8    11.8 1
-1904  9  2    11.6    11.6    11.6 1
-1904  9  3    15.7    15.7    15.7 1
-1904  9  4    15.9    15.9    15.9 1
-1904  9  5    13.9    14.0    14.0 1
-1904  9  6    14.1    14.2    14.2 1
-1904  9  7    14.9    15.0    15.0 1
-1904  9  8    15.3    15.4    15.4 1
-1904  9  9    12.0    12.1    12.1 1
-1904  9 10    13.5    13.6    13.6 1
-1904  9 11    11.8    11.9    11.9 1
-1904  9 12     7.7     7.8     7.8 1
-1904  9 13     7.7     7.8     7.8 1
-1904  9 14     7.2     7.3     7.3 1
-1904  9 15     8.4     8.5     8.5 1
-1904  9 16     9.1     9.2     9.2 1
-1904  9 17     8.3     8.4     8.4 1
-1904  9 18    10.8    10.9    10.9 1
-1904  9 19    11.6    11.7    11.7 1
-1904  9 20     9.0     9.1     9.1 1
-1904  9 21    10.7    10.8    10.8 1
-1904  9 22    10.1    10.2    10.2 1
-1904  9 23    10.5    10.6    10.6 1
-1904  9 24     9.5     9.6     9.6 1
-1904  9 25    10.8    10.9    10.9 1
-1904  9 26    13.9    14.0    14.0 1
-1904  9 27    13.2    13.3    13.3 1
-1904  9 28    10.7    10.8    10.8 1
-1904  9 29     9.8     9.9     9.9 1
-1904  9 30    11.6    11.7    11.7 1
-1904 10  1    13.7    13.8    13.8 1
-1904 10  2    12.0    12.1    12.1 1
-1904 10  3    10.5    10.6    10.6 1
-1904 10  4    10.3    10.4    10.4 1
-1904 10  5    10.5    10.6    10.6 1
-1904 10  6    10.3    10.4    10.4 1
-1904 10  7     5.3     5.4     5.4 1
-1904 10  8     3.4     3.5     3.5 1
-1904 10  9     3.8     3.9     3.9 1
-1904 10 10     8.2     8.3     8.3 1
-1904 10 11     7.8     7.9     7.9 1
-1904 10 12     6.8     6.9     6.9 1
-1904 10 13     3.9     4.0     4.0 1
-1904 10 14     4.4     4.5     4.5 1
-1904 10 15     6.0     6.1     6.1 1
-1904 10 16     5.2     5.3     5.3 1
-1904 10 17     7.7     7.8     7.8 1
-1904 10 18     6.4     6.5     6.5 1
-1904 10 19     5.7     5.8     5.8 1
-1904 10 20     4.4     4.5     4.5 1
-1904 10 21     2.9     3.0     3.0 1
-1904 10 22     3.1     3.2     3.2 1
-1904 10 23     4.1     4.2     4.2 1
-1904 10 24     5.7     5.8     5.8 1
-1904 10 25     8.1     8.2     8.2 1
-1904 10 26     6.9     6.9     6.9 1
-1904 10 27     5.5     5.5     5.5 1
-1904 10 28     6.8     6.8     6.8 1
-1904 10 29     6.0     6.0     6.0 1
-1904 10 30     2.3     2.3     2.3 1
-1904 10 31     3.9     3.9     3.9 1
-1904 11  1     4.8     4.8     4.8 1
-1904 11  2     1.6     1.6     1.6 1
-1904 11  3     5.3     5.3     5.3 1
-1904 11  4     2.8     2.8     2.8 1
-1904 11  5     0.4     0.4     0.4 1
-1904 11  6     3.0     3.0     3.0 1
-1904 11  7    -1.6    -1.6    -1.6 1
-1904 11  8     1.7     1.7     1.7 1
-1904 11  9     0.4     0.4     0.4 1
-1904 11 10    -3.1    -3.1    -3.1 1
-1904 11 11    -0.1    -0.1    -0.1 1
-1904 11 12    -2.3    -2.4    -2.4 1
-1904 11 13    -1.8    -1.9    -1.9 1
-1904 11 14     3.2     3.1     3.1 1
-1904 11 15     2.2     2.1     2.1 1
-1904 11 16     4.2     4.1     4.1 1
-1904 11 17     3.9     3.8     3.8 1
-1904 11 18     4.1     4.0     4.0 1
-1904 11 19     5.7     5.6     5.6 1
-1904 11 20     1.1     1.0     1.0 1
-1904 11 21    -2.3    -2.4    -2.4 1
-1904 11 22    -4.3    -4.4    -4.4 1
-1904 11 23     1.7     1.6     1.6 1
-1904 11 24     0.2     0.1     0.1 1
-1904 11 25    -0.2    -0.3    -0.3 1
-1904 11 26    -0.7    -0.8    -0.8 1
-1904 11 27    -1.3    -1.4    -1.4 1
-1904 11 28    -4.7    -4.8    -4.8 1
-1904 11 29   -11.7   -11.8   -11.8 1
-1904 11 30   -13.3   -13.4   -13.4 1
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-1904 12  3     2.5     2.4     2.4 1
-1904 12  4     1.4     1.3     1.3 1
-1904 12  5     5.0     4.9     4.9 1
-1904 12  6     5.2     5.1     5.1 1
-1904 12  7     0.2     0.1     0.1 1
-1904 12  8    -2.8    -2.9    -2.9 1
-1904 12  9    -5.8    -5.9    -5.9 1
-1904 12 10    -4.0    -4.1    -4.1 1
-1904 12 11     0.5     0.4     0.4 1
-1904 12 12   -10.4   -10.5   -10.5 1
-1904 12 13    -6.9    -7.0    -7.0 1
-1904 12 14    -6.2    -6.3    -6.3 1
-1904 12 15    -0.6    -0.7    -0.7 1
-1904 12 16     1.0     0.9     0.9 1
-1904 12 17     5.2     5.1     5.1 1
-1904 12 18     6.5     6.4     6.4 1
-1904 12 19     1.6     1.5     1.5 1
-1904 12 20     0.3     0.2     0.2 1
-1904 12 21     1.0     0.9     0.9 1
-1904 12 22     2.6     2.5     2.5 1
-1904 12 23     1.1     1.0     1.0 1
-1904 12 24    -2.4    -2.6    -2.6 1
-1904 12 25    -5.6    -5.8    -5.8 1
-1904 12 26    -9.3    -9.5    -9.5 1
-1904 12 27   -10.4   -10.6   -10.6 1
-1904 12 28     0.0    -0.2    -0.2 1
-1904 12 29    -3.3    -3.5    -3.5 1
-1904 12 30    -7.3    -7.5    -7.5 1
-1904 12 31   -14.0   -14.2   -14.2 1
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-1905  1  2    -2.6    -2.8    -2.8 1
-1905  1  3     3.8     3.5     3.5 1
-1905  1  4    -3.7    -4.0    -4.0 1
-1905  1  5    -8.5    -8.8    -8.8 1
-1905  1  6    -7.9    -8.2    -8.2 1
-1905  1  7    -6.9    -7.2    -7.2 1
-1905  1  8    -2.1    -2.4    -2.4 1
-1905  1  9     4.6     4.3     4.3 1
-1905  1 10    -1.7    -2.0    -2.0 1
-1905  1 11    -1.3    -1.6    -1.6 1
-1905  1 12    -0.3    -0.6    -0.6 1
-1905  1 13   -10.2   -10.6   -10.6 1
-1905  1 14   -10.0   -10.4   -10.4 1
-1905  1 15    -6.3    -6.7    -6.7 1
-1905  1 16    -5.6    -6.0    -6.0 1
-1905  1 17    -2.4    -2.8    -2.8 1
-1905  1 18    -1.7    -2.1    -2.1 1
-1905  1 19    -2.2    -2.6    -2.6 1
-1905  1 20    -0.7    -1.0    -1.0 1
-1905  1 21    -2.4    -2.7    -2.7 1
-1905  1 22    -3.8    -4.1    -4.1 1
-1905  1 23    -5.0    -5.3    -5.3 1
-1905  1 24     0.1    -0.2    -0.2 1
-1905  1 25     0.7     0.4     0.4 1
-1905  1 26    -4.5    -4.8    -4.8 1
-1905  1 27    -7.8    -8.1    -8.1 1
-1905  1 28     1.1     0.8     0.8 1
-1905  1 29     1.9     1.6     1.6 1
-1905  1 30     2.3     2.0     2.0 1
-1905  1 31    -0.7    -1.0    -1.0 1
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-1905  2  2    -5.0    -5.3    -5.3 1
-1905  2  3    -7.8    -8.1    -8.1 1
-1905  2  4    -9.6    -9.9    -9.9 1
-1905  2  5    -4.0    -4.3    -4.3 1
-1905  2  6     4.8     4.5     4.5 1
-1905  2  7     0.8     0.5     0.5 1
-1905  2  8    -1.3    -1.6    -1.6 1
-1905  2  9     3.8     3.5     3.5 1
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-1905  2 11    -2.5    -2.7    -2.7 1
-1905  2 12    -5.7    -5.9    -5.9 1
-1905  2 13    -6.5    -6.7    -6.7 1
-1905  2 14    -1.3    -1.5    -1.5 1
-1905  2 15    -3.9    -4.1    -4.1 1
-1905  2 16     3.5     3.3     3.3 1
-1905  2 17     4.0     3.8     3.8 1
-1905  2 18     2.9     2.7     2.7 1
-1905  2 19     3.9     3.7     3.7 1
-1905  2 20     1.7     1.5     1.5 1
-1905  2 21    -1.0    -1.3    -1.3 1
-1905  2 22    -2.1    -2.4    -2.4 1
-1905  2 23    -0.2    -0.5    -0.5 1
-1905  2 24    -1.5    -1.8    -1.8 1
-1905  2 25    -0.2    -0.5    -0.5 1
-1905  2 26     1.1     0.8     0.8 1
-1905  2 27    -0.3    -0.6    -0.6 1
-1905  2 28    -0.1    -0.4    -0.4 1
-1905  3  1     1.0     0.7     0.7 1
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-1905  3  3    -1.0    -1.3    -1.3 1
-1905  3  4    -0.4    -0.7    -0.7 1
-1905  3  5    -1.4    -1.7    -1.7 1
-1905  3  6    -1.7    -2.0    -2.0 1
-1905  3  7    -2.6    -2.9    -2.9 1
-1905  3  8    -3.6    -3.9    -3.9 1
-1905  3  9    -0.2    -0.5    -0.5 1
-1905  3 10     2.4     2.1     2.1 1
-1905  3 11     1.3     1.0     1.0 1
-1905  3 12     3.6     3.3     3.3 1
-1905  3 13     2.0     1.7     1.7 1
-1905  3 14     2.4     2.1     2.1 1
-1905  3 15     1.6     1.3     1.3 1
-1905  3 16     1.1     0.8     0.8 1
-1905  3 17     1.3     1.0     1.0 1
-1905  3 18     0.6     0.3     0.3 1
-1905  3 19    -0.4    -0.7    -0.7 1
-1905  3 20     1.1     0.8     0.8 1
-1905  3 21     2.2     1.9     1.9 1
-1905  3 22     1.9     1.6     1.6 1
-1905  3 23    -0.2    -0.5    -0.5 1
-1905  3 24    -0.8    -1.1    -1.1 1
-1905  3 25    -1.5    -1.8    -1.8 1
-1905  3 26    -1.7    -2.0    -2.0 1
-1905  3 27    -0.9    -1.2    -1.2 1
-1905  3 28     0.5     0.2     0.2 1
-1905  3 29     1.7     1.4     1.4 1
-1905  3 30     4.4     4.1     4.1 1
-1905  3 31     3.4     3.1     3.1 1
-1905  4  1     1.6     1.4     1.4 1
-1905  4  2    -1.4    -1.6    -1.6 1
-1905  4  3    -0.3    -0.5    -0.5 1
-1905  4  4     2.6     2.4     2.4 1
-1905  4  5     0.4     0.2     0.2 1
-1905  4  6    -3.4    -3.6    -3.6 1
-1905  4  7    -2.4    -2.6    -2.6 1
-1905  4  8    -1.2    -1.4    -1.4 1
-1905  4  9    -0.7    -0.9    -0.9 1
-1905  4 10    -1.8    -2.0    -2.0 1
-1905  4 11     0.3     0.1     0.1 1
-1905  4 12     0.6     0.4     0.4 1
-1905  4 13     0.1    -0.1    -0.1 1
-1905  4 14     0.7     0.5     0.5 1
-1905  4 15     1.9     1.7     1.7 1
-1905  4 16     1.9     1.7     1.7 1
-1905  4 17     2.4     2.2     2.2 1
-1905  4 18     2.6     2.4     2.4 1
-1905  4 19     1.4     1.2     1.2 1
-1905  4 20     2.0     1.8     1.8 1
-1905  4 21     3.0     2.8     2.8 1
-1905  4 22     0.8     0.5     0.5 1
-1905  4 23     3.2     2.9     2.9 1
-1905  4 24     3.6     3.3     3.3 1
-1905  4 25     4.3     4.0     4.0 1
-1905  4 26     6.6     6.3     6.3 1
-1905  4 27     6.1     5.8     5.8 1
-1905  4 28     6.4     6.1     6.1 1
-1905  4 29     6.7     6.4     6.4 1
-1905  4 30    10.5    10.2    10.2 1
-1905  5  1     8.2     7.9     7.9 1
-1905  5  2     9.6     9.2     9.2 1
-1905  5  3    10.6    10.2    10.2 1
-1905  5  4     8.7     8.3     8.3 1
-1905  5  5     6.4     6.0     6.0 1
-1905  5  6     9.0     8.6     8.6 1
-1905  5  7    11.5    11.1    11.1 1
-1905  5  8    12.0    11.6    11.6 1
-1905  5  9     6.7     6.3     6.3 1
-1905  5 10     7.4     7.0     7.0 1
-1905  5 11     6.2     5.8     5.8 1
-1905  5 12     7.2     6.7     6.7 1
-1905  5 13     6.0     5.5     5.5 1
-1905  5 14     9.1     8.6     8.6 1
-1905  5 15    11.7    11.2    11.2 1
-1905  5 16    10.4     9.9     9.9 1
-1905  5 17    15.3    14.8    14.8 1
-1905  5 18    14.0    13.5    13.5 1
-1905  5 19    12.1    11.6    11.6 1
-1905  5 20     4.7     4.2     4.2 1
-1905  5 21     5.1     4.6     4.6 1
-1905  5 22     6.2     5.7     5.7 1
-1905  5 23     7.1     6.6     6.6 1
-1905  5 24     8.3     7.8     7.8 1
-1905  5 25    10.4    10.0    10.0 1
-1905  5 26    11.7    11.3    11.3 1
-1905  5 27    12.9    12.5    12.5 1
-1905  5 28    11.6    11.2    11.2 1
-1905  5 29    17.3    16.9    16.9 1
-1905  5 30    20.3    19.9    19.9 1
-1905  5 31    15.3    14.9    14.9 1
-1905  6  1    15.5    15.1    15.1 1
-1905  6  2    15.0    14.6    14.6 1
-1905  6  3    15.7    15.3    15.3 1
-1905  6  4    16.0    15.6    15.6 1
-1905  6  5    17.2    16.8    16.8 1
-1905  6  6    13.0    12.6    12.6 1
-1905  6  7    11.3    10.9    10.9 1
-1905  6  8    11.0    10.6    10.6 1
-1905  6  9    10.6    10.2    10.2 1
-1905  6 10    10.7    10.3    10.3 1
-1905  6 11    13.8    13.4    13.4 1
-1905  6 12    14.6    14.2    14.2 1
-1905  6 13    14.8    14.4    14.4 1
-1905  6 14    15.5    15.1    15.1 1
-1905  6 15    17.8    17.4    17.4 1
-1905  6 16    19.4    19.0    19.0 1
-1905  6 17    19.5    19.1    19.1 1
-1905  6 18    19.0    18.6    18.6 1
-1905  6 19    19.7    19.3    19.3 1
-1905  6 20    18.4    18.0    18.0 1
-1905  6 21    17.7    17.3    17.3 1
-1905  6 22    16.5    16.1    16.1 1
-1905  6 23    16.3    15.9    15.9 1
-1905  6 24    19.6    19.2    19.2 1
-1905  6 25    23.1    22.7    22.7 1
-1905  6 26    22.6    22.2    22.2 1
-1905  6 27    23.5    23.1    23.1 1
-1905  6 28    21.0    20.6    20.6 1
-1905  6 29    20.9    20.5    20.5 1
-1905  6 30    20.1    19.7    19.7 1
-1905  7  1    18.3    17.9    17.9 1
-1905  7  2    20.7    20.3    20.3 1
-1905  7  3    19.9    19.5    19.5 1
-1905  7  4    18.8    18.4    18.4 1
-1905  7  5    19.6    19.2    19.2 1
-1905  7  6    18.3    17.9    17.9 1
-1905  7  7    16.5    16.1    16.1 1
-1905  7  8    17.5    17.1    17.1 1
-1905  7  9    18.4    18.0    18.0 1
-1905  7 10    16.0    15.6    15.6 1
-1905  7 11    17.1    16.7    16.7 1
-1905  7 12    11.9    11.5    11.5 1
-1905  7 13    12.4    12.0    12.0 1
-1905  7 14    13.5    13.1    13.1 1
-1905  7 15    15.7    15.3    15.3 1
-1905  7 16    18.2    17.9    17.9 1
-1905  7 17    18.5    18.2    18.2 1
-1905  7 18    15.8    15.5    15.5 1
-1905  7 19    18.0    17.7    17.7 1
-1905  7 20    14.0    13.7    13.7 1
-1905  7 21    15.8    15.5    15.5 1
-1905  7 22    17.4    17.1    17.1 1
-1905  7 23    14.9    14.6    14.6 1
-1905  7 24    16.9    16.6    16.6 1
-1905  7 25    17.9    17.6    17.6 1
-1905  7 26    18.7    18.4    18.4 1
-1905  7 27    16.5    16.2    16.2 1
-1905  7 28    17.2    17.0    17.0 1
-1905  7 29    15.5    15.3    15.3 1
-1905  7 30    17.3    17.1    17.1 1
-1905  7 31    16.5    16.3    16.3 1
-1905  8  1    18.2    18.0    18.0 1
-1905  8  2    14.1    13.9    13.9 1
-1905  8  3    15.4    15.2    15.2 1
-1905  8  4    17.8    17.6    17.6 1
-1905  8  5    19.4    19.2    19.2 1
-1905  8  6    18.7    18.5    18.5 1
-1905  8  7    17.1    16.9    16.9 1
-1905  8  8    14.4    14.2    14.2 1
-1905  8  9    17.1    16.9    16.9 1
-1905  8 10    15.8    15.7    15.7 1
-1905  8 11    16.2    16.1    16.1 1
-1905  8 12    14.2    14.1    14.1 1
-1905  8 13    15.3    15.2    15.2 1
-1905  8 14    15.4    15.3    15.3 1
-1905  8 15    15.3    15.2    15.2 1
-1905  8 16    13.1    13.0    13.0 1
-1905  8 17    13.8    13.7    13.7 1
-1905  8 18    16.0    15.9    15.9 1
-1905  8 19    14.1    14.0    14.0 1
-1905  8 20    14.2    14.1    14.1 1
-1905  8 21    14.5    14.4    14.4 1
-1905  8 22    15.5    15.4    15.4 1
-1905  8 23    13.9    13.9    13.9 1
-1905  8 24    13.3    13.3    13.3 1
-1905  8 25    12.3    12.3    12.3 1
-1905  8 26     9.7     9.7     9.7 1
-1905  8 27    10.2    10.2    10.2 1
-1905  8 28    12.6    12.6    12.6 1
-1905  8 29    12.3    12.3    12.3 1
-1905  8 30    11.8    11.8    11.8 1
-1905  8 31    11.2    11.2    11.2 1
-1905  9  1    11.3    11.3    11.3 1
-1905  9  2     9.8     9.8     9.8 1
-1905  9  3    11.0    11.0    11.0 1
-1905  9  4    11.3    11.3    11.3 1
-1905  9  5    12.0    12.1    12.1 1
-1905  9  6    14.8    14.9    14.9 1
-1905  9  7    15.6    15.7    15.7 1
-1905  9  8    14.4    14.5    14.5 1
-1905  9  9    14.1    14.2    14.2 1
-1905  9 10    14.6    14.7    14.7 1
-1905  9 11    12.4    12.5    12.5 1
-1905  9 12    11.9    12.0    12.0 1
-1905  9 13    12.2    12.3    12.3 1
-1905  9 14    12.0    12.1    12.1 1
-1905  9 15    11.1    11.2    11.2 1
-1905  9 16    10.7    10.8    10.8 1
-1905  9 17     9.2     9.3     9.3 1
-1905  9 18    11.1    11.2    11.2 1
-1905  9 19    10.8    10.9    10.9 1
-1905  9 20     9.3     9.4     9.4 1
-1905  9 21     8.6     8.7     8.7 1
-1905  9 22     9.0     9.1     9.1 1
-1905  9 23     9.4     9.5     9.5 1
-1905  9 24    10.4    10.5    10.5 1
-1905  9 25    10.5    10.6    10.6 1
-1905  9 26     9.9    10.0    10.0 1
-1905  9 27     9.6     9.7     9.7 1
-1905  9 28     9.0     9.1     9.1 1
-1905  9 29     8.9     9.0     9.0 1
-1905  9 30    10.2    10.3    10.3 1
-1905 10  1     9.3     9.4     9.4 1
-1905 10  2     7.5     7.6     7.6 1
-1905 10  3     4.1     4.2     4.2 1
-1905 10  4     5.7     5.8     5.8 1
-1905 10  5     8.2     8.3     8.3 1
-1905 10  6     8.1     8.2     8.2 1
-1905 10  7     6.6     6.7     6.7 1
-1905 10  8     5.2     5.3     5.3 1
-1905 10  9     3.8     3.9     3.9 1
-1905 10 10     5.2     5.3     5.3 1
-1905 10 11     6.9     7.0     7.0 1
-1905 10 12     7.7     7.8     7.8 1
-1905 10 13     4.3     4.4     4.4 1
-1905 10 14     2.3     2.4     2.4 1
-1905 10 15     2.1     2.2     2.2 1
-1905 10 16     1.0     1.1     1.1 1
-1905 10 17     0.4     0.5     0.5 1
-1905 10 18     1.3     1.4     1.4 1
-1905 10 19     0.6     0.7     0.7 1
-1905 10 20    -0.3    -0.2    -0.2 1
-1905 10 21     1.3     1.4     1.4 1
-1905 10 22     2.2     2.3     2.3 1
-1905 10 23     1.8     1.9     1.9 1
-1905 10 24     3.1     3.2     3.2 1
-1905 10 25     2.0     2.1     2.1 1
-1905 10 26     1.9     1.9     1.9 1
-1905 10 27     3.4     3.4     3.4 1
-1905 10 28     4.4     4.4     4.4 1
-1905 10 29     0.5     0.5     0.5 1
-1905 10 30     2.6     2.6     2.6 1
-1905 10 31     6.3     6.3     6.3 1
-1905 11  1     6.7     6.7     6.7 1
-1905 11  2     6.5     6.5     6.5 1
-1905 11  3     6.1     6.1     6.1 1
-1905 11  4     6.3     6.3     6.3 1
-1905 11  5     6.0     6.0     6.0 1
-1905 11  6     6.2     6.2     6.2 1
-1905 11  7     7.0     7.0     7.0 1
-1905 11  8     5.7     5.7     5.7 1
-1905 11  9     2.7     2.7     2.7 1
-1905 11 10     0.1     0.1     0.1 1
-1905 11 11     0.3     0.3     0.3 1
-1905 11 12     0.1     0.0     0.0 1
-1905 11 13    -1.3    -1.4    -1.4 1
-1905 11 14    -1.7    -1.8    -1.8 1
-1905 11 15    -1.2    -1.3    -1.3 1
-1905 11 16    -2.2    -2.3    -2.3 1
-1905 11 17    -2.7    -2.8    -2.8 1
-1905 11 18    -4.0    -4.1    -4.1 1
-1905 11 19    -3.1    -3.2    -3.2 1
-1905 11 20    -1.9    -2.0    -2.0 1
-1905 11 21     0.5     0.4     0.4 1
-1905 11 22     4.2     4.1     4.1 1
-1905 11 23     3.5     3.4     3.4 1
-1905 11 24     2.0     1.9     1.9 1
-1905 11 25     1.6     1.5     1.5 1
-1905 11 26     2.6     2.5     2.5 1
-1905 11 27     5.4     5.3     5.3 1
-1905 11 28     3.1     3.0     3.0 1
-1905 11 29    -0.4    -0.5    -0.5 1
-1905 11 30    -3.5    -3.6    -3.6 1
-1905 12  1    -0.1    -0.2    -0.2 1
-1905 12  2     2.4     2.3     2.3 1
-1905 12  3     5.7     5.6     5.6 1
-1905 12  4     4.1     4.0     4.0 1
-1905 12  5     3.1     3.0     3.0 1
-1905 12  6     1.3     1.2     1.2 1
-1905 12  7     2.1     2.0     2.0 1
-1905 12  8     4.9     4.8     4.8 1
-1905 12  9     3.2     3.1     3.1 1
-1905 12 10     0.7     0.6     0.6 1
-1905 12 11     1.6     1.5     1.5 1
-1905 12 12     5.0     4.9     4.9 1
-1905 12 13     3.2     3.1     3.1 1
-1905 12 14     0.7     0.6     0.6 1
-1905 12 15     3.5     3.4     3.4 1
-1905 12 16    -0.9    -1.0    -1.0 1
-1905 12 17    -2.3    -2.4    -2.4 1
-1905 12 18    -5.1    -5.2    -5.2 1
-1905 12 19    -2.1    -2.2    -2.2 1
-1905 12 20     0.3     0.2     0.2 1
-1905 12 21     2.4     2.3     2.3 1
-1905 12 22     0.0    -0.1    -0.1 1
-1905 12 23    -1.6    -1.7    -1.7 1
-1905 12 24    -1.1    -1.3    -1.3 1
-1905 12 25     3.0     2.8     2.8 1
-1905 12 26     0.7     0.5     0.5 1
-1905 12 27    -2.0    -2.2    -2.2 1
-1905 12 28    -3.5    -3.7    -3.7 1
-1905 12 29    -9.0    -9.2    -9.2 1
-1905 12 30    -8.6    -8.8    -8.8 1
-1905 12 31    -6.5    -6.7    -6.7 1
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-1906  1  2    -6.9    -7.1    -7.1 1
-1906  1  3    -6.5    -6.8    -6.8 1
-1906  1  4    -1.4    -1.7    -1.7 1
-1906  1  5     1.0     0.7     0.7 1
-1906  1  6     1.0     0.7     0.7 1
-1906  1  7     1.9     1.6     1.6 1
-1906  1  8     2.0     1.7     1.7 1
-1906  1  9     1.6     1.3     1.3 1
-1906  1 10     1.2     0.9     0.9 1
-1906  1 11     1.7     1.4     1.4 1
-1906  1 12     0.5     0.2     0.2 1
-1906  1 13     1.0     0.6     0.6 1
-1906  1 14     0.5     0.1     0.1 1
-1906  1 15     2.4     2.0     2.0 1
-1906  1 16     1.8     1.4     1.4 1
-1906  1 17     2.2     1.8     1.8 1
-1906  1 18     1.5     1.1     1.1 1
-1906  1 19     0.0    -0.4    -0.4 1
-1906  1 20    -4.5    -4.8    -4.8 1
-1906  1 21    -6.5    -6.8    -6.8 1
-1906  1 22    -6.0    -6.3    -6.3 1
-1906  1 23    -3.4    -3.7    -3.7 1
-1906  1 24     0.4     0.1     0.1 1
-1906  1 25    -0.1    -0.4    -0.4 1
-1906  1 26     0.0    -0.3    -0.3 1
-1906  1 27     5.0     4.7     4.7 1
-1906  1 28     1.7     1.4     1.4 1
-1906  1 29     0.0    -0.3    -0.3 1
-1906  1 30    -3.6    -3.9    -3.9 1
-1906  1 31    -5.0    -5.3    -5.3 1
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-1906  2  2     1.8     1.5     1.5 1
-1906  2  3     0.0    -0.3    -0.3 1
-1906  2  4    -3.0    -3.3    -3.3 1
-1906  2  5    -4.4    -4.7    -4.7 1
-1906  2  6    -4.0    -4.3    -4.3 1
-1906  2  7    -2.3    -2.6    -2.6 1
-1906  2  8    -1.5    -1.8    -1.8 1
-1906  2  9     0.3     0.0     0.0 1
-1906  2 10    -3.1    -3.4    -3.4 1
-1906  2 11    -0.2    -0.4    -0.4 1
-1906  2 12     0.7     0.5     0.5 1
-1906  2 13    -0.4    -0.6    -0.6 1
-1906  2 14     0.4     0.2     0.2 1
-1906  2 15     1.1     0.9     0.9 1
-1906  2 16     0.7     0.5     0.5 1
-1906  2 17     0.9     0.7     0.7 1
-1906  2 18     0.3     0.1     0.1 1
-1906  2 19    -2.0    -2.2    -2.2 1
-1906  2 20    -5.4    -5.6    -5.6 1
-1906  2 21     0.1    -0.2    -0.2 1
-1906  2 22     0.3     0.0     0.0 1
-1906  2 23    -2.7    -3.0    -3.0 1
-1906  2 24    -0.4    -0.7    -0.7 1
-1906  2 25    -2.7    -3.0    -3.0 1
-1906  2 26    -0.8    -1.1    -1.1 1
-1906  2 27     1.1     0.8     0.8 1
-1906  2 28    -0.2    -0.5    -0.5 1
-1906  3  1    -0.4    -0.7    -0.7 1
-1906  3  2    -1.8    -2.1    -2.1 1
-1906  3  3    -6.8    -7.1    -7.1 1
-1906  3  4     1.2     0.9     0.9 1
-1906  3  5     3.5     3.2     3.2 1
-1906  3  6     3.8     3.5     3.5 1
-1906  3  7     4.5     4.2     4.2 1
-1906  3  8     4.5     4.2     4.2 1
-1906  3  9     0.1    -0.2    -0.2 1
-1906  3 10    -8.8    -9.1    -9.1 1
-1906  3 11    -2.6    -2.9    -2.9 1
-1906  3 12     0.2    -0.1    -0.1 1
-1906  3 13    -3.2    -3.5    -3.5 1
-1906  3 14    -3.1    -3.4    -3.4 1
-1906  3 15    -3.1    -3.4    -3.4 1
-1906  3 16     0.0    -0.3    -0.3 1
-1906  3 17     0.8     0.5     0.5 1
-1906  3 18    -1.4    -1.7    -1.7 1
-1906  3 19    -5.0    -5.3    -5.3 1
-1906  3 20    -6.1    -6.4    -6.4 1
-1906  3 21    -3.6    -3.9    -3.9 1
-1906  3 22    -2.7    -3.0    -3.0 1
-1906  3 23    -2.4    -2.7    -2.7 1
-1906  3 24    -1.1    -1.4    -1.4 1
-1906  3 25    -2.4    -2.7    -2.7 1
-1906  3 26    -4.8    -5.1    -5.1 1
-1906  3 27    -2.6    -2.9    -2.9 1
-1906  3 28    -1.6    -1.9    -1.9 1
-1906  3 29    -4.0    -4.3    -4.3 1
-1906  3 30    -4.7    -5.0    -5.0 1
-1906  3 31     0.9     0.6     0.6 1
-1906  4  1     1.4     1.2     1.2 1
-1906  4  2     3.3     3.1     3.1 1
-1906  4  3     4.0     3.8     3.8 1
-1906  4  4     3.0     2.8     2.8 1
-1906  4  5     4.0     3.8     3.8 1
-1906  4  6     5.8     5.6     5.6 1
-1906  4  7     6.6     6.4     6.4 1
-1906  4  8     8.4     8.2     8.2 1
-1906  4  9     8.4     8.2     8.2 1
-1906  4 10    10.4    10.2    10.2 1
-1906  4 11    11.1    10.9    10.9 1
-1906  4 12     4.9     4.7     4.7 1
-1906  4 13    10.2    10.0    10.0 1
-1906  4 14    10.9    10.7    10.7 1
-1906  4 15     7.8     7.6     7.6 1
-1906  4 16     6.6     6.4     6.4 1
-1906  4 17     5.7     5.5     5.5 1
-1906  4 18     1.5     1.3     1.3 1
-1906  4 19     1.4     1.2     1.2 1
-1906  4 20     0.3     0.1     0.1 1
-1906  4 21     5.9     5.7     5.7 1
-1906  4 22     5.6     5.3     5.3 1
-1906  4 23     4.6     4.3     4.3 1
-1906  4 24     4.2     3.9     3.9 1
-1906  4 25     3.5     3.2     3.2 1
-1906  4 26     3.2     2.9     2.9 1
-1906  4 27     2.4     2.1     2.1 1
-1906  4 28     4.4     4.1     4.1 1
-1906  4 29     5.8     5.5     5.5 1
-1906  4 30     8.0     7.7     7.7 1
-1906  5  1     7.5     7.2     7.2 1
-1906  5  2     7.0     6.6     6.6 1
-1906  5  3     6.3     5.9     5.9 1
-1906  5  4     8.6     8.2     8.2 1
-1906  5  5    10.3     9.9     9.9 1
-1906  5  6    12.5    12.1    12.1 1
-1906  5  7    15.8    15.4    15.4 1
-1906  5  8    18.4    18.0    18.0 1
-1906  5  9    17.4    17.0    17.0 1
-1906  5 10    16.0    15.6    15.6 1
-1906  5 11    12.3    11.9    11.9 1
-1906  5 12    11.4    10.9    10.9 1
-1906  5 13     9.1     8.6     8.6 1
-1906  5 14     8.3     7.8     7.8 1
-1906  5 15    11.6    11.1    11.1 1
-1906  5 16    13.9    13.4    13.4 1
-1906  5 17    16.2    15.7    15.7 1
-1906  5 18    15.8    15.3    15.3 1
-1906  5 19     5.9     5.4     5.4 1
-1906  5 20     2.3     1.8     1.8 1
-1906  5 21     6.5     6.0     6.0 1
-1906  5 22     7.9     7.4     7.4 1
-1906  5 23    11.2    10.7    10.7 1
-1906  5 24    11.9    11.4    11.4 1
-1906  5 25    13.2    12.8    12.8 1
-1906  5 26    12.7    12.3    12.3 1
-1906  5 27    11.0    10.6    10.6 1
-1906  5 28    11.7    11.3    11.3 1
-1906  5 29    11.0    10.6    10.6 1
-1906  5 30     9.8     9.4     9.4 1
-1906  5 31     9.7     9.3     9.3 1
-1906  6  1     9.0     8.6     8.6 1
-1906  6  2     9.9     9.5     9.5 1
-1906  6  3     9.4     9.0     9.0 1
-1906  6  4    10.3     9.9     9.9 1
-1906  6  5     9.8     9.4     9.4 1
-1906  6  6    11.7    11.3    11.3 1
-1906  6  7    12.0    11.6    11.6 1
-1906  6  8    13.1    12.7    12.7 1
-1906  6  9    15.0    14.6    14.6 1
-1906  6 10    14.7    14.3    14.3 1
-1906  6 11    15.3    14.9    14.9 1
-1906  6 12    15.6    15.2    15.2 1
-1906  6 13    15.3    14.9    14.9 1
-1906  6 14     9.9     9.5     9.5 1
-1906  6 15    14.6    14.2    14.2 1
-1906  6 16    16.8    16.4    16.4 1
-1906  6 17    17.7    17.3    17.3 1
-1906  6 18    15.9    15.5    15.5 1
-1906  6 19    18.1    17.7    17.7 1
-1906  6 20    23.0    22.6    22.6 1
-1906  6 21    21.0    20.6    20.6 1
-1906  6 22    14.6    14.2    14.2 1
-1906  6 23    10.9    10.5    10.5 1
-1906  6 24    15.6    15.2    15.2 1
-1906  6 25    19.1    18.7    18.7 1
-1906  6 26    18.2    17.8    17.8 1
-1906  6 27    17.7    17.3    17.3 1
-1906  6 28    16.8    16.4    16.4 1
-1906  6 29    15.1    14.7    14.7 1
-1906  6 30     8.2     7.8     7.8 1
-1906  7  1    10.6    10.2    10.2 1
-1906  7  2    13.4    13.0    13.0 1
-1906  7  3    14.4    14.0    14.0 1
-1906  7  4    15.9    15.5    15.5 1
-1906  7  5    16.1    15.7    15.7 1
-1906  7  6    17.0    16.6    16.6 1
-1906  7  7    20.2    19.8    19.8 1
-1906  7  8    22.0    21.6    21.6 1
-1906  7  9    20.9    20.5    20.5 1
-1906  7 10    20.1    19.7    19.7 1
-1906  7 11    19.4    19.0    19.0 1
-1906  7 12    17.8    17.4    17.4 1
-1906  7 13    18.3    17.9    17.9 1
-1906  7 14    19.4    19.0    19.0 1
-1906  7 15    18.3    17.9    17.9 1
-1906  7 16    15.2    14.9    14.9 1
-1906  7 17    14.8    14.5    14.5 1
-1906  7 18    14.7    14.4    14.4 1
-1906  7 19    17.4    17.1    17.1 1
-1906  7 20    15.2    14.9    14.9 1
-1906  7 21    12.2    11.9    11.9 1
-1906  7 22    15.5    15.2    15.2 1
-1906  7 23    16.7    16.4    16.4 1
-1906  7 24    17.1    16.8    16.8 1
-1906  7 25    18.4    18.1    18.1 1
-1906  7 26    17.3    17.0    17.0 1
-1906  7 27    17.1    16.8    16.8 1
-1906  7 28    19.8    19.6    19.6 1
-1906  7 29    21.8    21.6    21.6 1
-1906  7 30    22.1    21.9    21.9 1
-1906  7 31    22.6    22.4    22.4 1
-1906  8  1    22.8    22.6    22.6 1
-1906  8  2    21.6    21.4    21.4 1
-1906  8  3    22.3    22.1    22.1 1
-1906  8  4    20.8    20.6    20.6 1
-1906  8  5    13.9    13.7    13.7 1
-1906  8  6    13.6    13.4    13.4 1
-1906  8  7    13.5    13.3    13.3 1
-1906  8  8    15.2    15.0    15.0 1
-1906  8  9    13.4    13.2    13.2 1
-1906  8 10    12.8    12.7    12.7 1
-1906  8 11    13.4    13.3    13.3 1
-1906  8 12    15.7    15.6    15.6 1
-1906  8 13    15.3    15.2    15.2 1
-1906  8 14    17.1    17.0    17.0 1
-1906  8 15    18.0    17.9    17.9 1
-1906  8 16    17.1    17.0    17.0 1
-1906  8 17    16.4    16.3    16.3 1
-1906  8 18    16.7    16.6    16.6 1
-1906  8 19    14.8    14.7    14.7 1
-1906  8 20    13.5    13.4    13.4 1
-1906  8 21    15.6    15.5    15.5 1
-1906  8 22    11.9    11.8    11.8 1
-1906  8 23    11.6    11.6    11.6 1
-1906  8 24    11.7    11.7    11.7 1
-1906  8 25    12.4    12.4    12.4 1
-1906  8 26    10.1    10.1    10.1 1
-1906  8 27     9.9     9.9     9.9 1
-1906  8 28    11.2    11.2    11.2 1
-1906  8 29    12.4    12.4    12.4 1
-1906  8 30    13.6    13.6    13.6 1
-1906  8 31    11.1    11.1    11.1 1
-1906  9  1    17.4    17.4    17.4 1
-1906  9  2    13.0    13.0    13.0 1
-1906  9  3    12.5    12.5    12.5 1
-1906  9  4    13.5    13.5    13.5 1
-1906  9  5    13.6    13.7    13.7 1
-1906  9  6    12.7    12.8    12.8 1
-1906  9  7    11.9    12.0    12.0 1
-1906  9  8    13.5    13.6    13.6 1
-1906  9  9    12.4    12.5    12.5 1
-1906  9 10    10.4    10.5    10.5 1
-1906  9 11    10.4    10.5    10.5 1
-1906  9 12    10.0    10.1    10.1 1
-1906  9 13    12.2    12.3    12.3 1
-1906  9 14    12.1    12.2    12.2 1
-1906  9 15    12.1    12.2    12.2 1
-1906  9 16    12.5    12.6    12.6 1
-1906  9 17    12.4    12.5    12.5 1
-1906  9 18    11.3    11.4    11.4 1
-1906  9 19    11.8    11.9    11.9 1
-1906  9 20    12.3    12.4    12.4 1
-1906  9 21    12.5    12.6    12.6 1
-1906  9 22     8.5     8.6     8.6 1
-1906  9 23     5.6     5.7     5.7 1
-1906  9 24     4.8     4.9     4.9 1
-1906  9 25     4.9     5.0     5.0 1
-1906  9 26     7.9     8.0     8.0 1
-1906  9 27    10.9    11.0    11.0 1
-1906  9 28     9.2     9.3     9.3 1
-1906  9 29     5.5     5.6     5.6 1
-1906  9 30     6.9     7.0     7.0 1
-1906 10  1     5.7     5.8     5.8 1
-1906 10  2     9.1     9.2     9.2 1
-1906 10  3     6.2     6.3     6.3 1
-1906 10  4     5.2     5.3     5.3 1
-1906 10  5     6.3     6.4     6.4 1
-1906 10  6     8.9     9.0     9.0 1
-1906 10  7    10.2    10.3    10.3 1
-1906 10  8     6.1     6.2     6.2 1
-1906 10  9     6.0     6.1     6.1 1
-1906 10 10     6.5     6.6     6.6 1
-1906 10 11     6.7     6.8     6.8 1
-1906 10 12     9.3     9.4     9.4 1
-1906 10 13    10.1    10.2    10.2 1
-1906 10 14     8.3     8.4     8.4 1
-1906 10 15     7.7     7.8     7.8 1
-1906 10 16     9.6     9.7     9.7 1
-1906 10 17     9.9    10.0    10.0 1
-1906 10 18    10.1    10.2    10.2 1
-1906 10 19     8.6     8.7     8.7 1
-1906 10 20     8.1     8.2     8.2 1
-1906 10 21     5.5     5.6     5.6 1
-1906 10 22     3.1     3.2     3.2 1
-1906 10 23     3.4     3.5     3.5 1
-1906 10 24     3.8     3.9     3.9 1
-1906 10 25     3.7     3.8     3.8 1
-1906 10 26     3.2     3.2     3.2 1
-1906 10 27     3.8     3.8     3.8 1
-1906 10 28     5.2     5.2     5.2 1
-1906 10 29     6.1     6.1     6.1 1
-1906 10 30     7.5     7.5     7.5 1
-1906 10 31     6.2     6.2     6.2 1
-1906 11  1     6.0     6.0     6.0 1
-1906 11  2     5.9     5.9     5.9 1
-1906 11  3     5.3     5.3     5.3 1
-1906 11  4     5.0     5.0     5.0 1
-1906 11  5     5.1     5.1     5.1 1
-1906 11  6     5.2     5.2     5.2 1
-1906 11  7     5.3     5.3     5.3 1
-1906 11  8     5.3     5.3     5.3 1
-1906 11  9     3.9     3.9     3.9 1
-1906 11 10    -0.1    -0.1    -0.1 1
-1906 11 11     1.8     1.8     1.8 1
-1906 11 12     2.3     2.2     2.2 1
-1906 11 13     1.6     1.5     1.5 1
-1906 11 14     3.8     3.7     3.7 1
-1906 11 15     4.6     4.5     4.5 1
-1906 11 16     4.4     4.3     4.3 1
-1906 11 17     1.9     1.8     1.8 1
-1906 11 18     1.2     1.1     1.1 1
-1906 11 19     1.1     1.0     1.0 1
-1906 11 20     5.5     5.4     5.4 1
-1906 11 21     4.3     4.2     4.2 1
-1906 11 22     4.0     3.9     3.9 1
-1906 11 23     9.4     9.3     9.3 1
-1906 11 24     9.5     9.4     9.4 1
-1906 11 25     7.1     7.0     7.0 1
-1906 11 26     3.3     3.2     3.2 1
-1906 11 27     0.9     0.8     0.8 1
-1906 11 28    -1.2    -1.3    -1.3 1
-1906 11 29     3.9     3.8     3.8 1
-1906 11 30     0.4     0.3     0.3 1
-1906 12  1    -3.2    -3.3    -3.3 1
-1906 12  2    -4.5    -4.6    -4.6 1
-1906 12  3     3.3     3.2     3.2 1
-1906 12  4    -6.8    -6.9    -6.9 1
-1906 12  5    -1.8    -1.9    -1.9 1
-1906 12  6    -6.7    -6.8    -6.8 1
-1906 12  7    -2.7    -2.8    -2.8 1
-1906 12  8     5.0     4.9     4.9 1
-1906 12  9     0.7     0.6     0.6 1
-1906 12 10    -1.4    -1.5    -1.5 1
-1906 12 11    -2.9    -3.0    -3.0 1
-1906 12 12    -7.6    -7.7    -7.7 1
-1906 12 13    -7.1    -7.2    -7.2 1
-1906 12 14     1.2     1.1     1.1 1
-1906 12 15     0.4     0.3     0.3 1
-1906 12 16    -0.5    -0.6    -0.6 1
-1906 12 17    -1.4    -1.5    -1.5 1
-1906 12 18    -1.0    -1.1    -1.1 1
-1906 12 19     0.0    -0.1    -0.1 1
-1906 12 20     1.7     1.6     1.6 1
-1906 12 21     2.6     2.5     2.5 1
-1906 12 22     0.5     0.4     0.4 1
-1906 12 23     1.1     1.0     1.0 1
-1906 12 24    -1.1    -1.3    -1.3 1
-1906 12 25     0.4     0.2     0.2 1
-1906 12 26    -2.2    -2.4    -2.4 1
-1906 12 27    -8.9    -9.1    -9.1 1
-1906 12 28    -5.5    -5.7    -5.7 1
-1906 12 29    -6.8    -7.0    -7.0 1
-1906 12 30    -8.1    -8.3    -8.3 1
-1906 12 31    -8.5    -8.7    -8.7 1
-1907  1  1    -9.4    -9.6    -9.6 1
-1907  1  2    -7.5    -7.7    -7.7 1
-1907  1  3     0.6     0.3     0.3 1
-1907  1  4     1.0     0.7     0.7 1
-1907  1  5    -5.0    -5.3    -5.3 1
-1907  1  6    -1.2    -1.5    -1.5 1
-1907  1  7    -4.9    -5.2    -5.2 1
-1907  1  8     1.2     0.9     0.9 1
-1907  1  9     2.4     2.1     2.1 1
-1907  1 10    -1.6    -1.9    -1.9 1
-1907  1 11    -3.4    -3.7    -3.7 1
-1907  1 12    -2.8    -3.1    -3.1 1
-1907  1 13    -1.0    -1.4    -1.4 1
-1907  1 14    -2.2    -2.6    -2.6 1
-1907  1 15    -0.4    -0.8    -0.8 1
-1907  1 16    -1.3    -1.7    -1.7 1
-1907  1 17    -0.5    -0.9    -0.9 1
-1907  1 18    -0.6    -1.0    -1.0 1
-1907  1 19    -0.4    -0.8    -0.8 1
-1907  1 20    -4.3    -4.6    -4.6 1
-1907  1 21    -9.7   -10.0   -10.0 1
-1907  1 22    -8.1    -8.4    -8.4 1
-1907  1 23    -9.1    -9.4    -9.4 1
-1907  1 24    -7.8    -8.1    -8.1 1
-1907  1 25    -2.6    -2.9    -2.9 1
-1907  1 26    -8.1    -8.4    -8.4 1
-1907  1 27   -13.2   -13.5   -13.5 1
-1907  1 28    -4.1    -4.4    -4.4 1
-1907  1 29    -0.2    -0.5    -0.5 1
-1907  1 30    -4.9    -5.2    -5.2 1
-1907  1 31    -6.8    -7.1    -7.1 1
-1907  2  1    -7.2    -7.5    -7.5 1
-1907  2  2    -9.2    -9.5    -9.5 1
-1907  2  3    -9.6    -9.9    -9.9 1
-1907  2  4    -5.4    -5.7    -5.7 1
-1907  2  5    -4.7    -5.0    -5.0 1
-1907  2  6    -2.5    -2.8    -2.8 1
-1907  2  7    -2.8    -3.1    -3.1 1
-1907  2  8    -4.1    -4.4    -4.4 1
-1907  2  9    -3.9    -4.2    -4.2 1
-1907  2 10    -3.0    -3.3    -3.3 1
-1907  2 11    -2.0    -2.2    -2.2 1
-1907  2 12    -0.6    -0.8    -0.8 1
-1907  2 13    -1.8    -2.0    -2.0 1
-1907  2 14    -2.1    -2.3    -2.3 1
-1907  2 15    -2.4    -2.6    -2.6 1
-1907  2 16     1.4     1.2     1.2 1
-1907  2 17    -1.0    -1.2    -1.2 1
-1907  2 18    -4.6    -4.8    -4.8 1
-1907  2 19     1.7     1.5     1.5 1
-1907  2 20     0.9     0.7     0.7 1
-1907  2 21     0.1    -0.2    -0.2 1
-1907  2 22    -1.8    -2.1    -2.1 1
-1907  2 23    -1.6    -1.9    -1.9 1
-1907  2 24    -4.1    -4.4    -4.4 1
-1907  2 25    -3.7    -4.0    -4.0 1
-1907  2 26     1.9     1.6     1.6 1
-1907  2 27    -1.7    -2.0    -2.0 1
-1907  2 28    -2.0    -2.3    -2.3 1
-1907  3  1    -2.8    -3.1    -3.1 1
-1907  3  2     2.0     1.7     1.7 1
-1907  3  3     0.2    -0.1    -0.1 1
-1907  3  4     1.4     1.1     1.1 1
-1907  3  5     1.7     1.4     1.4 1
-1907  3  6     1.6     1.3     1.3 1
-1907  3  7     1.1     0.8     0.8 1
-1907  3  8     1.0     0.7     0.7 1
-1907  3  9    -1.4    -1.7    -1.7 1
-1907  3 10    -4.9    -5.2    -5.2 1
-1907  3 11    -3.5    -3.8    -3.8 1
-1907  3 12    -5.6    -5.9    -5.9 1
-1907  3 13    -6.3    -6.6    -6.6 1
-1907  3 14    -2.9    -3.2    -3.2 1
-1907  3 15    -3.8    -4.1    -4.1 1
-1907  3 16     0.2    -0.1    -0.1 1
-1907  3 17     2.6     2.3     2.3 1
-1907  3 18     2.2     1.9     1.9 1
-1907  3 19     0.3     0.0     0.0 1
-1907  3 20    -0.6    -0.9    -0.9 1
-1907  3 21     0.6     0.3     0.3 1
-1907  3 22    -0.4    -0.7    -0.7 1
-1907  3 23    -0.1    -0.4    -0.4 1
-1907  3 24     0.8     0.5     0.5 1
-1907  3 25     1.2     0.9     0.9 1
-1907  3 26     4.1     3.8     3.8 1
-1907  3 27     6.5     6.2     6.2 1
-1907  3 28     5.0     4.7     4.7 1
-1907  3 29     4.7     4.4     4.4 1
-1907  3 30     4.1     3.8     3.8 1
-1907  3 31     4.1     3.8     3.8 1
-1907  4  1     3.2     3.0     3.0 1
-1907  4  2     4.4     4.2     4.2 1
-1907  4  3     4.7     4.5     4.5 1
-1907  4  4     1.1     0.9     0.9 1
-1907  4  5     2.6     2.4     2.4 1
-1907  4  6     1.8     1.6     1.6 1
-1907  4  7     1.4     1.2     1.2 1
-1907  4  8     1.9     1.7     1.7 1
-1907  4  9     2.2     2.0     2.0 1
-1907  4 10     1.0     0.8     0.8 1
-1907  4 11     2.3     2.1     2.1 1
-1907  4 12     1.2     1.0     1.0 1
-1907  4 13     2.1     1.9     1.9 1
-1907  4 14     0.6     0.4     0.4 1
-1907  4 15     0.1    -0.1    -0.1 1
-1907  4 16     1.3     1.1     1.1 1
-1907  4 17     1.0     0.8     0.8 1
-1907  4 18     0.4     0.2     0.2 1
-1907  4 19     0.9     0.7     0.7 1
-1907  4 20     1.6     1.4     1.4 1
-1907  4 21     4.4     4.2     4.2 1
-1907  4 22     6.6     6.3     6.3 1
-1907  4 23     5.1     4.8     4.8 1
-1907  4 24     5.1     4.8     4.8 1
-1907  4 25     4.6     4.3     4.3 1
-1907  4 26     2.2     1.9     1.9 1
-1907  4 27     1.7     1.4     1.4 1
-1907  4 28     3.2     2.9     2.9 1
-1907  4 29     3.0     2.7     2.7 1
-1907  4 30     4.3     4.0     4.0 1
-1907  5  1     5.2     4.9     4.9 1
-1907  5  2     6.3     5.9     5.9 1
-1907  5  3     5.3     4.9     4.9 1
-1907  5  4     6.5     6.1     6.1 1
-1907  5  5     7.3     6.9     6.9 1
-1907  5  6     9.5     9.1     9.1 1
-1907  5  7     7.8     7.4     7.4 1
-1907  5  8     7.1     6.7     6.7 1
-1907  5  9    11.4    11.0    11.0 1
-1907  5 10    13.1    12.7    12.7 1
-1907  5 11    15.2    14.8    14.8 1
-1907  5 12    19.1    18.6    18.6 1
-1907  5 13     9.5     9.0     9.0 1
-1907  5 14     9.1     8.6     8.6 1
-1907  5 15     5.5     5.0     5.0 1
-1907  5 16     3.0     2.5     2.5 1
-1907  5 17     1.9     1.4     1.4 1
-1907  5 18     3.1     2.6     2.6 1
-1907  5 19     2.8     2.3     2.3 1
-1907  5 20     4.1     3.6     3.6 1
-1907  5 21    11.4    10.9    10.9 1
-1907  5 22     8.1     7.6     7.6 1
-1907  5 23     8.0     7.5     7.5 1
-1907  5 24    11.6    11.1    11.1 1
-1907  5 25    10.9    10.5    10.5 1
-1907  5 26     9.5     9.1     9.1 1
-1907  5 27     5.4     5.0     5.0 1
-1907  5 28     4.7     4.3     4.3 1
-1907  5 29     4.6     4.2     4.2 1
-1907  5 30     5.1     4.7     4.7 1
-1907  5 31     5.5     5.1     5.1 1
-1907  6  1     6.5     6.1     6.1 1
-1907  6  2     8.0     7.6     7.6 1
-1907  6  3    10.3     9.9     9.9 1
-1907  6  4    10.9    10.5    10.5 1
-1907  6  5     8.8     8.4     8.4 1
-1907  6  6    10.4    10.0    10.0 1
-1907  6  7    10.3     9.9     9.9 1
-1907  6  8    11.1    10.7    10.7 1
-1907  6  9    12.6    12.2    12.2 1
-1907  6 10    14.4    14.0    14.0 1
-1907  6 11    15.4    15.0    15.0 1
-1907  6 12    16.5    16.1    16.1 1
-1907  6 13    16.5    16.1    16.1 1
-1907  6 14    16.1    15.7    15.7 1
-1907  6 15    15.3    14.9    14.9 1
-1907  6 16    16.7    16.3    16.3 1
-1907  6 17    13.4    13.0    13.0 1
-1907  6 18    13.7    13.3    13.3 1
-1907  6 19    13.1    12.7    12.7 1
-1907  6 20    13.4    13.0    13.0 1
-1907  6 21    12.9    12.5    12.5 1
-1907  6 22    13.4    13.0    13.0 1
-1907  6 23    14.0    13.6    13.6 1
-1907  6 24    12.9    12.5    12.5 1
-1907  6 25    13.9    13.5    13.5 1
-1907  6 26    11.7    11.3    11.3 1
-1907  6 27    14.1    13.7    13.7 1
-1907  6 28    15.6    15.2    15.2 1
-1907  6 29    15.5    15.1    15.1 1
-1907  6 30    14.2    13.8    13.8 1
-1907  7  1    15.8    15.4    15.4 1
-1907  7  2    12.2    11.8    11.8 1
-1907  7  3    15.6    15.2    15.2 1
-1907  7  4    12.5    12.1    12.1 1
-1907  7  5    15.5    15.1    15.1 1
-1907  7  6    14.4    14.0    14.0 1
-1907  7  7    16.0    15.6    15.6 1
-1907  7  8    12.9    12.5    12.5 1
-1907  7  9    15.2    14.8    14.8 1
-1907  7 10    16.9    16.5    16.5 1
-1907  7 11    18.2    17.8    17.8 1
-1907  7 12    18.2    17.8    17.8 1
-1907  7 13    17.9    17.5    17.5 1
-1907  7 14    19.4    19.0    19.0 1
-1907  7 15    21.4    21.0    21.0 1
-1907  7 16    17.2    16.9    16.9 1
-1907  7 17    13.2    12.9    12.9 1
-1907  7 18    10.8    10.5    10.5 1
-1907  7 19    10.3    10.0    10.0 1
-1907  7 20    13.8    13.5    13.5 1
-1907  7 21    12.0    11.7    11.7 1
-1907  7 22    11.0    10.7    10.7 1
-1907  7 23    13.0    12.7    12.7 1
-1907  7 24    12.2    11.9    11.9 1
-1907  7 25    13.3    13.0    13.0 1
-1907  7 26    16.5    16.2    16.2 1
-1907  7 27    15.3    15.0    15.0 1
-1907  7 28    16.2    16.0    16.0 1
-1907  7 29    14.8    14.6    14.6 1
-1907  7 30    15.6    15.4    15.4 1
-1907  7 31    13.1    12.9    12.9 1
-1907  8  1    11.7    11.5    11.5 1
-1907  8  2    11.6    11.4    11.4 1
-1907  8  3    13.2    13.0    13.0 1
-1907  8  4    13.1    12.9    12.9 1
-1907  8  5    15.5    15.3    15.3 1
-1907  8  6    15.7    15.5    15.5 1
-1907  8  7    12.6    12.4    12.4 1
-1907  8  8    13.4    13.2    13.2 1
-1907  8  9    14.4    14.2    14.2 1
-1907  8 10    15.3    15.2    15.2 1
-1907  8 11    15.3    15.2    15.2 1
-1907  8 12    13.7    13.6    13.6 1
-1907  8 13    12.1    12.0    12.0 1
-1907  8 14    13.4    13.3    13.3 1
-1907  8 15    14.2    14.1    14.1 1
-1907  8 16    14.4    14.3    14.3 1
-1907  8 17    13.5    13.4    13.4 1
-1907  8 18    12.5    12.4    12.4 1
-1907  8 19    11.2    11.1    11.1 1
-1907  8 20    11.4    11.3    11.3 1
-1907  8 21    12.4    12.3    12.3 1
-1907  8 22    12.6    12.5    12.5 1
-1907  8 23    12.8    12.8    12.8 1
-1907  8 24    10.0    10.0    10.0 1
-1907  8 25    10.3    10.3    10.3 1
-1907  8 26    11.3    11.3    11.3 1
-1907  8 27    11.3    11.3    11.3 1
-1907  8 28    11.5    11.5    11.5 1
-1907  8 29    12.5    12.5    12.5 1
-1907  8 30    13.8    13.8    13.8 1
-1907  8 31    12.3    12.3    12.3 1
-1907  9  1    10.3    10.3    10.3 1
-1907  9  2     9.9     9.9     9.9 1
-1907  9  3    12.2    12.2    12.2 1
-1907  9  4     9.9     9.9     9.9 1
-1907  9  5    11.4    11.5    11.5 1
-1907  9  6    11.5    11.6    11.6 1
-1907  9  7    13.0    13.1    13.1 1
-1907  9  8    12.0    12.1    12.1 1
-1907  9  9    11.8    11.9    11.9 1
-1907  9 10    12.3    12.4    12.4 1
-1907  9 11    15.2    15.3    15.3 1
-1907  9 12    16.7    16.8    16.8 1
-1907  9 13    15.4    15.5    15.5 1
-1907  9 14    14.0    14.1    14.1 1
-1907  9 15    10.3    10.4    10.4 1
-1907  9 16     9.5     9.6     9.6 1
-1907  9 17    10.0    10.1    10.1 1
-1907  9 18     8.4     8.5     8.5 1
-1907  9 19    13.5    13.6    13.6 1
-1907  9 20    13.3    13.4    13.4 1
-1907  9 21     6.1     6.2     6.2 1
-1907  9 22     5.1     5.2     5.2 1
-1907  9 23     8.8     8.9     8.9 1
-1907  9 24     7.2     7.3     7.3 1
-1907  9 25    11.2    11.3    11.3 1
-1907  9 26     9.9    10.0    10.0 1
-1907  9 27     8.1     8.2     8.2 1
-1907  9 28     8.8     8.9     8.9 1
-1907  9 29     8.6     8.7     8.7 1
-1907  9 30     9.1     9.2     9.2 1
-1907 10  1     9.9    10.0    10.0 1
-1907 10  2    11.5    11.6    11.6 1
-1907 10  3    12.1    12.2    12.2 1
-1907 10  4    12.4    12.5    12.5 1
-1907 10  5    12.3    12.4    12.4 1
-1907 10  6    11.8    11.9    11.9 1
-1907 10  7     9.3     9.4     9.4 1
-1907 10  8    11.7    11.8    11.8 1
-1907 10  9    10.4    10.5    10.5 1
-1907 10 10     8.4     8.5     8.5 1
-1907 10 11     9.5     9.6     9.6 1
-1907 10 12    11.2    11.3    11.3 1
-1907 10 13    11.0    11.1    11.1 1
-1907 10 14    12.2    12.3    12.3 1
-1907 10 15    12.6    12.7    12.7 1
-1907 10 16    10.7    10.8    10.8 1
-1907 10 17    11.0    11.1    11.1 1
-1907 10 18    12.5    12.6    12.6 1
-1907 10 19     9.5     9.6     9.6 1
-1907 10 20     9.9    10.0    10.0 1
-1907 10 21     8.7     8.8     8.8 1
-1907 10 22    10.0    10.1    10.1 1
-1907 10 23    10.4    10.5    10.5 1
-1907 10 24     7.8     7.9     7.9 1
-1907 10 25     9.7     9.8     9.8 1
-1907 10 26     7.0     7.0     7.0 1
-1907 10 27     8.4     8.4     8.4 1
-1907 10 28     8.7     8.7     8.7 1
-1907 10 29     9.6     9.6     9.6 1
-1907 10 30     6.0     6.0     6.0 1
-1907 10 31     3.5     3.5     3.5 1
-1907 11  1     2.8     2.8     2.8 1
-1907 11  2     1.7     1.7     1.7 1
-1907 11  3     5.0     5.0     5.0 1
-1907 11  4     2.7     2.7     2.7 1
-1907 11  5     1.6     1.6     1.6 1
-1907 11  6     3.4     3.4     3.4 1
-1907 11  7     4.7     4.7     4.7 1
-1907 11  8     3.4     3.4     3.4 1
-1907 11  9     1.7     1.7     1.7 1
-1907 11 10     3.5     3.5     3.5 1
-1907 11 11     4.9     4.9     4.9 1
-1907 11 12     6.7     6.6     6.6 1
-1907 11 13     7.0     6.9     6.9 1
-1907 11 14     5.9     5.8     5.8 1
-1907 11 15     5.5     5.4     5.4 1
-1907 11 16     6.5     6.4     6.4 1
-1907 11 17     5.7     5.6     5.6 1
-1907 11 18     5.1     5.0     5.0 1
-1907 11 19     3.2     3.1     3.1 1
-1907 11 20     1.3     1.2     1.2 1
-1907 11 21     2.8     2.7     2.7 1
-1907 11 22     3.7     3.6     3.6 1
-1907 11 23     1.8     1.7     1.7 1
-1907 11 24     0.8     0.7     0.7 1
-1907 11 25     2.2     2.1     2.1 1
-1907 11 26     3.0     2.9     2.9 1
-1907 11 27     4.2     4.1     4.1 1
-1907 11 28     3.0     2.9     2.9 1
-1907 11 29    -1.8    -1.9    -1.9 1
-1907 11 30    -4.0    -4.1    -4.1 1
-1907 12  1    -1.3    -1.4    -1.4 1
-1907 12  2     1.8     1.7     1.7 1
-1907 12  3     1.8     1.7     1.7 1
-1907 12  4     3.3     3.2     3.2 1
-1907 12  5     4.4     4.3     4.3 1
-1907 12  6     2.8     2.7     2.7 1
-1907 12  7     2.8     2.7     2.7 1
-1907 12  8     2.3     2.2     2.2 1
-1907 12  9     1.7     1.6     1.6 1
-1907 12 10     0.4     0.3     0.3 1
-1907 12 11    -1.8    -1.9    -1.9 1
-1907 12 12    -3.5    -3.6    -3.6 1
-1907 12 13    -2.0    -2.1    -2.1 1
-1907 12 14    -3.1    -3.2    -3.2 1
-1907 12 15    -4.0    -4.1    -4.1 1
-1907 12 16    -5.7    -5.8    -5.8 1
-1907 12 17    -7.3    -7.4    -7.4 1
-1907 12 18    -3.4    -3.5    -3.5 1
-1907 12 19    -8.2    -8.3    -8.3 1
-1907 12 20   -12.7   -12.8   -12.8 1
-1907 12 21    -7.6    -7.7    -7.7 1
-1907 12 22    -9.6    -9.7    -9.7 1
-1907 12 23    -2.8    -2.9    -2.9 1
-1907 12 24    -0.1    -0.3    -0.3 1
-1907 12 25    -5.0    -5.2    -5.2 1
-1907 12 26    -7.0    -7.2    -7.2 1
-1907 12 27    -6.0    -6.2    -6.2 1
-1907 12 28    -8.6    -8.8    -8.8 1
-1907 12 29    -6.3    -6.5    -6.5 1
-1907 12 30    -8.8    -9.0    -9.0 1
-1907 12 31    -6.4    -6.6    -6.6 1
-1908  1  1   -12.6   -12.8   -12.8 1
-1908  1  2    -7.1    -7.3    -7.3 1
-1908  1  3    -2.0    -2.3    -2.3 1
-1908  1  4     1.1     0.8     0.8 1
-1908  1  5    -0.7    -1.0    -1.0 1
-1908  1  6    -1.8    -2.1    -2.1 1
-1908  1  7    -8.8    -9.1    -9.1 1
-1908  1  8   -10.8   -11.1   -11.1 1
-1908  1  9   -10.8   -11.1   -11.1 1
-1908  1 10   -12.8   -13.1   -13.1 1
-1908  1 11    -2.1    -2.4    -2.4 1
-1908  1 12     2.1     1.8     1.8 1
-1908  1 13     0.4     0.0     0.0 1
-1908  1 14    -0.8    -1.2    -1.2 1
-1908  1 15     0.2    -0.2    -0.2 1
-1908  1 16     2.9     2.5     2.5 1
-1908  1 17     2.5     2.1     2.1 1
-1908  1 18     4.6     4.2     4.2 1
-1908  1 19     1.3     0.9     0.9 1
-1908  1 20     1.3     1.0     1.0 1
-1908  1 21     1.0     0.7     0.7 1
-1908  1 22     1.9     1.6     1.6 1
-1908  1 23     0.8     0.5     0.5 1
-1908  1 24     3.3     3.0     3.0 1
-1908  1 25    -1.8    -2.1    -2.1 1
-1908  1 26    -0.3    -0.6    -0.6 1
-1908  1 27    -1.1    -1.4    -1.4 1
-1908  1 28     0.1    -0.2    -0.2 1
-1908  1 29    -3.2    -3.5    -3.5 1
-1908  1 30    -7.8    -8.1    -8.1 1
-1908  1 31    -0.2    -0.5    -0.5 1
-1908  2  1    -4.4    -4.7    -4.7 1
-1908  2  2    -3.5    -3.8    -3.8 1
-1908  2  3    -3.8    -4.1    -4.1 1
-1908  2  4    -2.5    -2.8    -2.8 1
-1908  2  5    -2.3    -2.6    -2.6 1
-1908  2  6     0.8     0.5     0.5 1
-1908  2  7    -2.8    -3.1    -3.1 1
-1908  2  8    -0.2    -0.5    -0.5 1
-1908  2  9    -6.1    -6.4    -6.4 1
-1908  2 10    -8.8    -9.1    -9.1 1
-1908  2 11     2.9     2.7     2.7 1
-1908  2 12     2.2     2.0     2.0 1
-1908  2 13     0.4     0.2     0.2 1
-1908  2 14    -0.1    -0.3    -0.3 1
-1908  2 15     1.7     1.5     1.5 1
-1908  2 16     1.2     1.0     1.0 1
-1908  2 17    -0.7    -0.9    -0.9 1
-1908  2 18    -0.2    -0.4    -0.4 1
-1908  2 19    -0.7    -0.9    -0.9 1
-1908  2 20    -5.1    -5.3    -5.3 1
-1908  2 21    -7.0    -7.3    -7.3 1
-1908  2 22    -0.2    -0.5    -0.5 1
-1908  2 23     0.7     0.4     0.4 1
-1908  2 24     1.1     0.8     0.8 1
-1908  2 25    -0.8    -1.1    -1.1 1
-1908  2 26    -1.6    -1.9    -1.9 1
-1908  2 27     0.1    -0.2    -0.2 1
-1908  2 28     1.3     1.0     1.0 1
-1908  2 29     0.8     0.5     0.5 1
-1908  3  1    -0.1    -0.4    -0.4 1
-1908  3  2     0.1    -0.2    -0.2 1
-1908  3  3    -1.3    -1.6    -1.6 1
-1908  3  4    -2.5    -2.8    -2.8 1
-1908  3  5    -2.0    -2.3    -2.3 1
-1908  3  6     0.1    -0.2    -0.2 1
-1908  3  7     0.6     0.3     0.3 1
-1908  3  8     1.1     0.8     0.8 1
-1908  3  9     0.0    -0.3    -0.3 1
-1908  3 10    -1.8    -2.1    -2.1 1
-1908  3 11    -6.1    -6.4    -6.4 1
-1908  3 12    -8.2    -8.5    -8.5 1
-1908  3 13    -8.7    -9.0    -9.0 1
-1908  3 14    -9.4    -9.7    -9.7 1
-1908  3 15    -7.7    -8.0    -8.0 1
-1908  3 16    -4.7    -5.0    -5.0 1
-1908  3 17    -4.0    -4.3    -4.3 1
-1908  3 18    -2.0    -2.3    -2.3 1
-1908  3 19    -1.7    -2.0    -2.0 1
-1908  3 20    -1.4    -1.7    -1.7 1
-1908  3 21     0.0    -0.3    -0.3 1
-1908  3 22     0.3     0.0     0.0 1
-1908  3 23    -0.7    -1.0    -1.0 1
-1908  3 24    -2.3    -2.6    -2.6 1
-1908  3 25    -1.6    -1.9    -1.9 1
-1908  3 26    -3.3    -3.6    -3.6 1
-1908  3 27    -2.0    -2.3    -2.3 1
-1908  3 28     2.6     2.3     2.3 1
-1908  3 29     4.2     3.9     3.9 1
-1908  3 30     3.5     3.2     3.2 1
-1908  3 31     2.1     1.8     1.8 1
-1908  4  1     2.1     1.9     1.9 1
-1908  4  2     1.3     1.1     1.1 1
-1908  4  3     2.7     2.5     2.5 1
-1908  4  4     2.3     2.1     2.1 1
-1908  4  5     1.1     0.9     0.9 1
-1908  4  6     3.0     2.8     2.8 1
-1908  4  7     1.2     1.0     1.0 1
-1908  4  8     1.8     1.6     1.6 1
-1908  4  9     4.0     3.8     3.8 1
-1908  4 10     3.1     2.9     2.9 1
-1908  4 11     1.9     1.7     1.7 1
-1908  4 12     2.2     2.0     2.0 1
-1908  4 13     3.2     3.0     3.0 1
-1908  4 14     4.4     4.2     4.2 1
-1908  4 15     5.4     5.2     5.2 1
-1908  4 16     5.5     5.3     5.3 1
-1908  4 17     5.9     5.7     5.7 1
-1908  4 18     1.1     0.9     0.9 1
-1908  4 19    -1.2    -1.4    -1.4 1
-1908  4 20    -1.3    -1.5    -1.5 1
-1908  4 21     0.9     0.7     0.7 1
-1908  4 22    -0.5    -0.8    -0.8 1
-1908  4 23     1.8     1.5     1.5 1
-1908  4 24     4.5     4.2     4.2 1
-1908  4 25     4.6     4.3     4.3 1
-1908  4 26     3.8     3.5     3.5 1
-1908  4 27     6.4     6.1     6.1 1
-1908  4 28     5.1     4.8     4.8 1
-1908  4 29     3.5     3.2     3.2 1
-1908  4 30     2.9     2.6     2.6 1
-1908  5  1     4.6     4.3     4.3 1
-1908  5  2     2.5     2.1     2.1 1
-1908  5  3     1.4     1.0     1.0 1
-1908  5  4     2.3     1.9     1.9 1
-1908  5  5     3.0     2.6     2.6 1
-1908  5  6     4.2     3.8     3.8 1
-1908  5  7     5.2     4.8     4.8 1
-1908  5  8     5.6     5.2     5.2 1
-1908  5  9     6.0     5.6     5.6 1
-1908  5 10     5.7     5.3     5.3 1
-1908  5 11     7.2     6.8     6.8 1
-1908  5 12     5.2     4.7     4.7 1
-1908  5 13     4.9     4.4     4.4 1
-1908  5 14     2.0     1.5     1.5 1
-1908  5 15     6.9     6.4     6.4 1
-1908  5 16     9.2     8.7     8.7 1
-1908  5 17     8.3     7.8     7.8 1
-1908  5 18     9.8     9.3     9.3 1
-1908  5 19    11.0    10.5    10.5 1
-1908  5 20    10.8    10.3    10.3 1
-1908  5 21    10.1     9.6     9.6 1
-1908  5 22     9.9     9.4     9.4 1
-1908  5 23    11.5    11.0    11.0 1
-1908  5 24    10.6    10.1    10.1 1
-1908  5 25    10.0     9.6     9.6 1
-1908  5 26     8.9     8.5     8.5 1
-1908  5 27    10.2     9.8     9.8 1
-1908  5 28    14.4    14.0    14.0 1
-1908  5 29    18.8    18.4    18.4 1
-1908  5 30    16.8    16.4    16.4 1
-1908  5 31    18.3    17.9    17.9 1
-1908  6  1    16.4    16.0    16.0 1
-1908  6  2    13.3    12.9    12.9 1
-1908  6  3    15.9    15.5    15.5 1
-1908  6  4    20.3    19.9    19.9 1
-1908  6  5     5.7     5.3     5.3 1
-1908  6  6     8.1     7.7     7.7 1
-1908  6  7     9.7     9.3     9.3 1
-1908  6  8     9.2     8.8     8.8 1
-1908  6  9    10.3     9.9     9.9 1
-1908  6 10    12.1    11.7    11.7 1
-1908  6 11    15.3    14.9    14.9 1
-1908  6 12    15.4    15.0    15.0 1
-1908  6 13    13.0    12.6    12.6 1
-1908  6 14    11.9    11.5    11.5 1
-1908  6 15    13.3    12.9    12.9 1
-1908  6 16    13.2    12.8    12.8 1
-1908  6 17    18.5    18.1    18.1 1
-1908  6 18    19.7    19.3    19.3 1
-1908  6 19    17.7    17.3    17.3 1
-1908  6 20    12.2    11.8    11.8 1
-1908  6 21    12.7    12.3    12.3 1
-1908  6 22    14.5    14.1    14.1 1
-1908  6 23    15.2    14.8    14.8 1
-1908  6 24    15.8    15.4    15.4 1
-1908  6 25    17.9    17.5    17.5 1
-1908  6 26    14.0    13.6    13.6 1
-1908  6 27    13.5    13.1    13.1 1
-1908  6 28    16.0    15.6    15.6 1
-1908  6 29    11.7    11.3    11.3 1
-1908  6 30    12.6    12.2    12.2 1
-1908  7  1    14.6    14.2    14.2 1
-1908  7  2    16.5    16.1    16.1 1
-1908  7  3    11.9    11.5    11.5 1
-1908  7  4     7.0     6.6     6.6 1
-1908  7  5     9.1     8.7     8.7 1
-1908  7  6    12.5    12.1    12.1 1
-1908  7  7    10.7    10.3    10.3 1
-1908  7  8    11.0    10.6    10.6 1
-1908  7  9    12.9    12.5    12.5 1
-1908  7 10    16.6    16.2    16.2 1
-1908  7 11    15.3    14.9    14.9 1
-1908  7 12    15.8    15.4    15.4 1
-1908  7 13    16.5    16.1    16.1 1
-1908  7 14    14.8    14.4    14.4 1
-1908  7 15    16.6    16.2    16.2 1
-1908  7 16    16.5    16.2    16.2 1
-1908  7 17    16.9    16.6    16.6 1
-1908  7 18    18.9    18.6    18.6 1
-1908  7 19    21.7    21.4    21.4 1
-1908  7 20    20.0    19.7    19.7 1
-1908  7 21    15.7    15.4    15.4 1
-1908  7 22    15.9    15.6    15.6 1
-1908  7 23    16.8    16.5    16.5 1
-1908  7 24    17.6    17.3    17.3 1
-1908  7 25    18.2    17.9    17.9 1
-1908  7 26    19.5    19.2    19.2 1
-1908  7 27    19.4    19.1    19.1 1
-1908  7 28    20.7    20.5    20.5 1
-1908  7 29    22.2    22.0    22.0 1
-1908  7 30    21.1    20.9    20.9 1
-1908  7 31    16.7    16.5    16.5 1
-1908  8  1    14.3    14.1    14.1 1
-1908  8  2    15.8    15.6    15.6 1
-1908  8  3    16.3    16.1    16.1 1
-1908  8  4    16.6    16.4    16.4 1
-1908  8  5    18.3    18.1    18.1 1
-1908  8  6    18.9    18.7    18.7 1
-1908  8  7    20.2    20.0    20.0 1
-1908  8  8    17.0    16.8    16.8 1
-1908  8  9    18.4    18.2    18.2 1
-1908  8 10    17.5    17.4    17.4 1
-1908  8 11    19.3    19.2    19.2 1
-1908  8 12    17.2    17.1    17.1 1
-1908  8 13    12.3    12.2    12.2 1
-1908  8 14    13.6    13.5    13.5 1
-1908  8 15    14.2    14.1    14.1 1
-1908  8 16    13.4    13.3    13.3 1
-1908  8 17    17.0    16.9    16.9 1
-1908  8 18    16.4    16.3    16.3 1
-1908  8 19    14.0    13.9    13.9 1
-1908  8 20    13.1    13.0    13.0 1
-1908  8 21    14.7    14.6    14.6 1
-1908  8 22    15.0    14.9    14.9 1
-1908  8 23    16.0    16.0    16.0 1
-1908  8 24    14.8    14.8    14.8 1
-1908  8 25    14.0    14.0    14.0 1
-1908  8 26    15.4    15.4    15.4 1
-1908  8 27    15.0    15.0    15.0 1
-1908  8 28    15.0    15.0    15.0 1
-1908  8 29    13.1    13.1    13.1 1
-1908  8 30    13.5    13.5    13.5 1
-1908  8 31    12.6    12.6    12.6 1
-1908  9  1    12.1    12.1    12.1 1
-1908  9  2    12.5    12.5    12.5 1
-1908  9  3    12.2    12.2    12.2 1
-1908  9  4    11.2    11.2    11.2 1
-1908  9  5     9.8     9.9     9.9 1
-1908  9  6    10.5    10.6    10.6 1
-1908  9  7    10.6    10.7    10.7 1
-1908  9  8    10.9    11.0    11.0 1
-1908  9  9    14.3    14.4    14.4 1
-1908  9 10    12.4    12.5    12.5 1
-1908  9 11    11.4    11.5    11.5 1
-1908  9 12    10.9    11.0    11.0 1
-1908  9 13    10.4    10.5    10.5 1
-1908  9 14     9.3     9.4     9.4 1
-1908  9 15     9.0     9.1     9.1 1
-1908  9 16    10.2    10.3    10.3 1
-1908  9 17     8.4     8.5     8.5 1
-1908  9 18    10.6    10.7    10.7 1
-1908  9 19    11.9    12.0    12.0 1
-1908  9 20    11.3    11.4    11.4 1
-1908  9 21     9.9    10.0    10.0 1
-1908  9 22     9.9    10.0    10.0 1
-1908  9 23     9.3     9.4     9.4 1
-1908  9 24    10.7    10.8    10.8 1
-1908  9 25     8.2     8.3     8.3 1
-1908  9 26     9.8     9.9     9.9 1
-1908  9 27    11.8    11.9    11.9 1
-1908  9 28     8.8     8.9     8.9 1
-1908  9 29    10.0    10.1    10.1 1
-1908  9 30    14.0    14.1    14.1 1
-1908 10  1    16.1    16.2    16.2 1
-1908 10  2    10.5    10.6    10.6 1
-1908 10  3    12.2    12.3    12.3 1
-1908 10  4    11.9    12.0    12.0 1
-1908 10  5     7.4     7.5     7.5 1
-1908 10  6     7.4     7.5     7.5 1
-1908 10  7     9.9    10.0    10.0 1
-1908 10  8    11.7    11.8    11.8 1
-1908 10  9    11.6    11.7    11.7 1
-1908 10 10     9.3     9.4     9.4 1
-1908 10 11    12.1    12.2    12.2 1
-1908 10 12    13.0    13.1    13.1 1
-1908 10 13    11.4    11.5    11.5 1
-1908 10 14     9.1     9.2     9.2 1
-1908 10 15     7.5     7.6     7.6 1
-1908 10 16     7.9     8.0     8.0 1
-1908 10 17     6.5     6.6     6.6 1
-1908 10 18     4.3     4.4     4.4 1
-1908 10 19     4.4     4.5     4.5 1
-1908 10 20     1.9     2.0     2.0 1
-1908 10 21     3.9     4.0     4.0 1
-1908 10 22     4.8     4.9     4.9 1
-1908 10 23     5.4     5.5     5.5 1
-1908 10 24     7.2     7.3     7.3 1
-1908 10 25     7.2     7.3     7.3 1
-1908 10 26     6.9     6.9     6.9 1
-1908 10 27     4.7     4.7     4.7 1
-1908 10 28     6.1     6.1     6.1 1
-1908 10 29     7.9     7.9     7.9 1
-1908 10 30     4.4     4.4     4.4 1
-1908 10 31     3.3     3.3     3.3 1
-1908 11  1     4.2     4.2     4.2 1
-1908 11  2     6.5     6.5     6.5 1
-1908 11  3     6.1     6.1     6.1 1
-1908 11  4    -2.1    -2.1    -2.1 1
-1908 11  5    -3.6    -3.6    -3.6 1
-1908 11  6    -3.4    -3.4    -3.4 1
-1908 11  7    -4.6    -4.6    -4.6 1
-1908 11  8    -5.6    -5.6    -5.6 1
-1908 11  9    -3.6    -3.6    -3.6 1
-1908 11 10    -2.8    -2.8    -2.8 1
-1908 11 11     2.0     2.0     2.0 1
-1908 11 12    -4.1    -4.2    -4.2 1
-1908 11 13    -5.4    -5.5    -5.5 1
-1908 11 14    -1.3    -1.4    -1.4 1
-1908 11 15    -2.4    -2.5    -2.5 1
-1908 11 16     0.6     0.5     0.5 1
-1908 11 17     2.3     2.2     2.2 1
-1908 11 18     3.1     3.0     3.0 1
-1908 11 19     0.5     0.4     0.4 1
-1908 11 20    -3.9    -4.0    -4.0 1
-1908 11 21    -6.4    -6.5    -6.5 1
-1908 11 22    -1.2    -1.3    -1.3 1
-1908 11 23     2.1     2.0     2.0 1
-1908 11 24    -1.5    -1.6    -1.6 1
-1908 11 25     2.4     2.3     2.3 1
-1908 11 26     3.0     2.9     2.9 1
-1908 11 27    -0.1    -0.2    -0.2 1
-1908 11 28    -0.7    -0.8    -0.8 1
-1908 11 29     3.4     3.3     3.3 1
-1908 11 30     2.7     2.6     2.6 1
-1908 12  1    -0.6    -0.7    -0.7 1
-1908 12  2     0.7     0.6     0.6 1
-1908 12  3    -2.6    -2.7    -2.7 1
-1908 12  4    -4.6    -4.7    -4.7 1
-1908 12  5    -5.1    -5.2    -5.2 1
-1908 12  6    -2.1    -2.2    -2.2 1
-1908 12  7     2.3     2.2     2.2 1
-1908 12  8     4.5     4.4     4.4 1
-1908 12  9     4.9     4.8     4.8 1
-1908 12 10     3.9     3.8     3.8 1
-1908 12 11     1.8     1.7     1.7 1
-1908 12 12     0.7     0.6     0.6 1
-1908 12 13     0.5     0.4     0.4 1
-1908 12 14     1.9     1.8     1.8 1
-1908 12 15     4.2     4.1     4.1 1
-1908 12 16     3.6     3.5     3.5 1
-1908 12 17     3.7     3.6     3.6 1
-1908 12 18     2.7     2.6     2.6 1
-1908 12 19     2.4     2.3     2.3 1
-1908 12 20     2.0     1.9     1.9 1
-1908 12 21     2.9     2.8     2.8 1
-1908 12 22     5.4     5.3     5.3 1
-1908 12 23     3.1     3.0     3.0 1
-1908 12 24     1.1     0.9     0.9 1
-1908 12 25    -3.8    -4.0    -4.0 1
-1908 12 26   -10.9   -11.1   -11.1 1
-1908 12 27   -13.3   -13.5   -13.5 1
-1908 12 28   -11.2   -11.4   -11.4 1
-1908 12 29    -9.5    -9.7    -9.7 1
-1908 12 30    -4.2    -4.4    -4.4 1
-1908 12 31    -4.9    -5.1    -5.1 1
-1909  1  1    -3.8    -4.0    -4.0 1
-1909  1  2     0.7     0.5     0.5 1
-1909  1  3     1.0     0.7     0.7 1
-1909  1  4     3.1     2.8     2.8 1
-1909  1  5     2.8     2.5     2.5 1
-1909  1  6    -0.4    -0.7    -0.7 1
-1909  1  7    -0.7    -1.0    -1.0 1
-1909  1  8    -0.1    -0.4    -0.4 1
-1909  1  9    -2.4    -2.7    -2.7 1
-1909  1 10    -1.4    -1.7    -1.7 1
-1909  1 11     1.7     1.4     1.4 1
-1909  1 12     1.0     0.7     0.7 1
-1909  1 13    -5.8    -6.2    -6.2 1
-1909  1 14    -6.4    -6.8    -6.8 1
-1909  1 15    -1.4    -1.8    -1.8 1
-1909  1 16     1.4     1.0     1.0 1
-1909  1 17    -0.1    -0.5    -0.5 1
-1909  1 18     2.6     2.2     2.2 1
-1909  1 19     2.3     1.9     1.9 1
-1909  1 20    -1.1    -1.4    -1.4 1
-1909  1 21    -3.0    -3.3    -3.3 1
-1909  1 22    -0.7    -1.0    -1.0 1
-1909  1 23     0.8     0.5     0.5 1
-1909  1 24    -2.6    -2.9    -2.9 1
-1909  1 25    -4.8    -5.1    -5.1 1
-1909  1 26    -5.9    -6.2    -6.2 1
-1909  1 27    -4.4    -4.7    -4.7 1
-1909  1 28    -1.7    -2.0    -2.0 1
-1909  1 29    -2.2    -2.5    -2.5 1
-1909  1 30    -0.6    -0.9    -0.9 1
-1909  1 31    -3.6    -3.9    -3.9 1
-1909  2  1    -7.1    -7.4    -7.4 1
-1909  2  2   -12.3   -12.6   -12.6 1
-1909  2  3    -2.6    -2.9    -2.9 1
-1909  2  4    -4.2    -4.5    -4.5 1
-1909  2  5    -8.1    -8.4    -8.4 1
-1909  2  6    -9.5    -9.8    -9.8 1
-1909  2  7    -9.5    -9.8    -9.8 1
-1909  2  8    -4.8    -5.1    -5.1 1
-1909  2  9    -5.2    -5.5    -5.5 1
-1909  2 10    -5.2    -5.5    -5.5 1
-1909  2 11    -7.7    -7.9    -7.9 1
-1909  2 12    -6.4    -6.6    -6.6 1
-1909  2 13    -4.0    -4.2    -4.2 1
-1909  2 14     0.5     0.3     0.3 1
-1909  2 15    -0.4    -0.6    -0.6 1
-1909  2 16    -7.3    -7.5    -7.5 1
-1909  2 17    -8.5    -8.7    -8.7 1
-1909  2 18    -7.6    -7.8    -7.8 1
-1909  2 19    -2.5    -2.7    -2.7 1
-1909  2 20    -2.1    -2.3    -2.3 1
-1909  2 21    -1.3    -1.6    -1.6 1
-1909  2 22    -1.3    -1.6    -1.6 1
-1909  2 23    -1.5    -1.8    -1.8 1
-1909  2 24    -4.8    -5.1    -5.1 1
-1909  2 25    -4.3    -4.6    -4.6 1
-1909  2 26    -2.6    -2.9    -2.9 1
-1909  2 27    -2.4    -2.7    -2.7 1
-1909  2 28    -5.5    -5.8    -5.8 1
-1909  3  1    -8.1    -8.4    -8.4 1
-1909  3  2   -10.4   -10.7   -10.7 1
-1909  3  3    -7.0    -7.3    -7.3 1
-1909  3  4    -2.2    -2.5    -2.5 1
-1909  3  5    -0.6    -0.9    -0.9 1
-1909  3  6    -0.7    -1.0    -1.0 1
-1909  3  7    -2.1    -2.4    -2.4 1
-1909  3  8    -2.2    -2.5    -2.5 1
-1909  3  9    -1.6    -1.9    -1.9 1
-1909  3 10    -3.9    -4.2    -4.2 1
-1909  3 11    -3.8    -4.1    -4.1 1
-1909  3 12    -2.7    -3.0    -3.0 1
-1909  3 13    -2.0    -2.3    -2.3 1
-1909  3 14    -2.3    -2.6    -2.6 1
-1909  3 15    -1.4    -1.7    -1.7 1
-1909  3 16    -1.4    -1.7    -1.7 1
-1909  3 17    -0.9    -1.2    -1.2 1
-1909  3 18    -1.9    -2.2    -2.2 1
-1909  3 19    -3.4    -3.7    -3.7 1
-1909  3 20    -3.3    -3.6    -3.6 1
-1909  3 21    -2.0    -2.3    -2.3 1
-1909  3 22    -2.1    -2.4    -2.4 1
-1909  3 23    -1.4    -1.7    -1.7 1
-1909  3 24    -1.2    -1.5    -1.5 1
-1909  3 25    -1.4    -1.7    -1.7 1
-1909  3 26    -0.4    -0.7    -0.7 1
-1909  3 27     1.1     0.8     0.8 1
-1909  3 28     1.4     1.1     1.1 1
-1909  3 29     1.4     1.1     1.1 1
-1909  3 30     1.5     1.2     1.2 1
-1909  3 31     2.0     1.7     1.7 1
-1909  4  1    -1.9    -2.1    -2.1 1
-1909  4  2    -4.4    -4.6    -4.6 1
-1909  4  3    -2.4    -2.6    -2.6 1
-1909  4  4     0.5     0.3     0.3 1
-1909  4  5     1.6     1.4     1.4 1
-1909  4  6     5.5     5.3     5.3 1
-1909  4  7     6.0     5.8     5.8 1
-1909  4  8     5.5     5.3     5.3 1
-1909  4  9     3.5     3.3     3.3 1
-1909  4 10     0.1    -0.1    -0.1 1
-1909  4 11    -2.8    -3.0    -3.0 1
-1909  4 12    -3.4    -3.6    -3.6 1
-1909  4 13    -2.0    -2.2    -2.2 1
-1909  4 14    -0.9    -1.1    -1.1 1
-1909  4 15     0.1    -0.1    -0.1 1
-1909  4 16     0.9     0.7     0.7 1
-1909  4 17     2.4     2.2     2.2 1
-1909  4 18     0.8     0.6     0.6 1
-1909  4 19     0.8     0.6     0.6 1
-1909  4 20    -0.9    -1.1    -1.1 1
-1909  4 21    -2.3    -2.5    -2.5 1
-1909  4 22    -0.2    -0.5    -0.5 1
-1909  4 23     0.4     0.1     0.1 1
-1909  4 24     0.8     0.5     0.5 1
-1909  4 25     2.5     2.2     2.2 1
-1909  4 26     8.3     8.0     8.0 1
-1909  4 27     8.3     8.0     8.0 1
-1909  4 28     6.9     6.6     6.6 1
-1909  4 29     6.2     5.9     5.9 1
-1909  4 30     4.8     4.5     4.5 1
-1909  5  1     1.9     1.6     1.6 1
-1909  5  2     2.8     2.4     2.4 1
-1909  5  3     6.8     6.4     6.4 1
-1909  5  4     6.6     6.2     6.2 1
-1909  5  5     4.6     4.2     4.2 1
-1909  5  6     5.3     4.9     4.9 1
-1909  5  7     3.7     3.3     3.3 1
-1909  5  8     1.3     0.9     0.9 1
-1909  5  9     3.6     3.2     3.2 1
-1909  5 10     4.0     3.6     3.6 1
-1909  5 11     4.5     4.1     4.1 1
-1909  5 12     4.7     4.2     4.2 1
-1909  5 13     3.0     2.5     2.5 1
-1909  5 14     2.6     2.1     2.1 1
-1909  5 15     4.7     4.2     4.2 1
-1909  5 16     4.9     4.4     4.4 1
-1909  5 17     5.6     5.1     5.1 1
-1909  5 18     5.0     4.5     4.5 1
-1909  5 19     4.1     3.6     3.6 1
-1909  5 20     4.5     4.0     4.0 1
-1909  5 21     5.8     5.3     5.3 1
-1909  5 22     5.0     4.5     4.5 1
-1909  5 23     4.2     3.7     3.7 1
-1909  5 24     5.1     4.6     4.6 1
-1909  5 25     7.6     7.2     7.2 1
-1909  5 26     6.5     6.1     6.1 1
-1909  5 27     8.6     8.2     8.2 1
-1909  5 28     9.8     9.4     9.4 1
-1909  5 29    11.3    10.9    10.9 1
-1909  5 30    13.2    12.8    12.8 1
-1909  5 31    14.0    13.6    13.6 1
-1909  6  1    12.1    11.7    11.7 1
-1909  6  2    11.0    10.6    10.6 1
-1909  6  3    11.7    11.3    11.3 1
-1909  6  4    10.1     9.7     9.7 1
-1909  6  5     9.6     9.2     9.2 1
-1909  6  6     5.2     4.8     4.8 1
-1909  6  7     9.2     8.8     8.8 1
-1909  6  8     9.7     9.3     9.3 1
-1909  6  9     7.4     7.0     7.0 1
-1909  6 10    10.4    10.0    10.0 1
-1909  6 11     9.2     8.8     8.8 1
-1909  6 12     9.2     8.8     8.8 1
-1909  6 13    10.2     9.8     9.8 1
-1909  6 14    10.6    10.2    10.2 1
-1909  6 15    13.3    12.9    12.9 1
-1909  6 16    18.4    18.0    18.0 1
-1909  6 17    18.0    17.6    17.6 1
-1909  6 18    19.1    18.7    18.7 1
-1909  6 19    13.2    12.8    12.8 1
-1909  6 20    12.4    12.0    12.0 1
-1909  6 21    16.2    15.8    15.8 1
-1909  6 22    17.2    16.8    16.8 1
-1909  6 23    19.0    18.6    18.6 1
-1909  6 24    15.1    14.7    14.7 1
-1909  6 25    16.7    16.3    16.3 1
-1909  6 26    18.4    18.0    18.0 1
-1909  6 27    20.1    19.7    19.7 1
-1909  6 28    20.9    20.5    20.5 1
-1909  6 29    19.0    18.6    18.6 1
-1909  6 30    11.3    10.9    10.9 1
-1909  7  1    12.2    11.8    11.8 1
-1909  7  2    13.4    13.0    13.0 1
-1909  7  3    15.6    15.2    15.2 1
-1909  7  4    16.4    16.0    16.0 1
-1909  7  5    16.0    15.6    15.6 1
-1909  7  6    16.2    15.8    15.8 1
-1909  7  7    16.7    16.3    16.3 1
-1909  7  8    17.7    17.3    17.3 1
-1909  7  9    18.4    18.0    18.0 1
-1909  7 10    17.3    16.9    16.9 1
-1909  7 11    18.7    18.3    18.3 1
-1909  7 12    17.3    16.9    16.9 1
-1909  7 13    18.8    18.4    18.4 1
-1909  7 14    19.6    19.2    19.2 1
-1909  7 15    17.9    17.5    17.5 1
-1909  7 16    16.3    16.0    16.0 1
-1909  7 17    16.0    15.7    15.7 1
-1909  7 18    15.7    15.4    15.4 1
-1909  7 19    13.9    13.6    13.6 1
-1909  7 20    12.5    12.2    12.2 1
-1909  7 21    14.1    13.8    13.8 1
-1909  7 22    13.2    12.9    12.9 1
-1909  7 23    14.2    13.9    13.9 1
-1909  7 24    13.2    12.9    12.9 1
-1909  7 25    12.7    12.4    12.4 1
-1909  7 26    14.3    14.0    14.0 1
-1909  7 27    13.8    13.5    13.5 1
-1909  7 28    15.0    14.8    14.8 1
-1909  7 29    13.8    13.6    13.6 1
-1909  7 30    13.0    12.8    12.8 1
-1909  7 31    12.9    12.7    12.7 1
-1909  8  1    13.2    13.0    13.0 1
-1909  8  2    15.2    15.0    15.0 1
-1909  8  3    16.2    16.0    16.0 1
-1909  8  4    16.7    16.5    16.5 1
-1909  8  5    16.4    16.2    16.2 1
-1909  8  6    14.6    14.4    14.4 1
-1909  8  7    17.9    17.7    17.7 1
-1909  8  8    16.6    16.4    16.4 1
-1909  8  9    16.1    15.9    15.9 1
-1909  8 10    16.5    16.4    16.4 1
-1909  8 11    13.0    12.9    12.9 1
-1909  8 12    15.2    15.1    15.1 1
-1909  8 13    14.9    14.8    14.8 1
-1909  8 14    11.6    11.5    11.5 1
-1909  8 15    11.9    11.8    11.8 1
-1909  8 16    13.8    13.7    13.7 1
-1909  8 17    16.6    16.5    16.5 1
-1909  8 18    16.6    16.5    16.5 1
-1909  8 19    16.2    16.1    16.1 1
-1909  8 20    15.0    14.9    14.9 1
-1909  8 21    16.4    16.3    16.3 1
-1909  8 22    17.7    17.6    17.6 1
-1909  8 23    14.3    14.3    14.3 1
-1909  8 24    14.4    14.4    14.4 1
-1909  8 25    16.0    16.0    16.0 1
-1909  8 26    16.2    16.2    16.2 1
-1909  8 27    15.3    15.3    15.3 1
-1909  8 28    14.6    14.6    14.6 1
-1909  8 29    14.9    14.9    14.9 1
-1909  8 30    15.0    15.0    15.0 1
-1909  8 31    12.4    12.4    12.4 1
-1909  9  1    10.8    10.8    10.8 1
-1909  9  2    11.1    11.1    11.1 1
-1909  9  3    12.3    12.3    12.3 1
-1909  9  4    13.2    13.2    13.2 1
-1909  9  5    13.3    13.4    13.4 1
-1909  9  6    10.9    11.0    11.0 1
-1909  9  7    12.3    12.4    12.4 1
-1909  9  8    13.4    13.5    13.5 1
-1909  9  9    11.2    11.3    11.3 1
-1909  9 10    11.5    11.6    11.6 1
-1909  9 11    10.2    10.3    10.3 1
-1909  9 12     9.8     9.9     9.9 1
-1909  9 13    10.0    10.1    10.1 1
-1909  9 14     8.5     8.6     8.6 1
-1909  9 15     9.2     9.3     9.3 1
-1909  9 16    10.6    10.7    10.7 1
-1909  9 17    13.2    13.3    13.3 1
-1909  9 18    13.9    14.0    14.0 1
-1909  9 19    12.6    12.7    12.7 1
-1909  9 20    13.3    13.4    13.4 1
-1909  9 21    13.0    13.1    13.1 1
-1909  9 22    10.6    10.7    10.7 1
-1909  9 23    11.1    11.2    11.2 1
-1909  9 24    10.8    10.9    10.9 1
-1909  9 25    12.5    12.6    12.6 1
-1909  9 26     7.8     7.9     7.9 1
-1909  9 27     6.3     6.4     6.4 1
-1909  9 28     7.2     7.3     7.3 1
-1909  9 29     8.3     8.4     8.4 1
-1909  9 30     7.6     7.7     7.7 1
-1909 10  1     5.2     5.3     5.3 1
-1909 10  2     6.1     6.2     6.2 1
-1909 10  3    11.6    11.7    11.7 1
-1909 10  4    12.7    12.8    12.8 1
-1909 10  5    13.6    13.7    13.7 1
-1909 10  6    10.3    10.4    10.4 1
-1909 10  7     9.9    10.0    10.0 1
-1909 10  8    10.3    10.4    10.4 1
-1909 10  9    11.7    11.8    11.8 1
-1909 10 10    10.2    10.3    10.3 1
-1909 10 11    10.1    10.2    10.2 1
-1909 10 12    10.3    10.4    10.4 1
-1909 10 13     9.8     9.9     9.9 1
-1909 10 14    11.4    11.5    11.5 1
-1909 10 15    11.5    11.6    11.6 1
-1909 10 16    10.3    10.4    10.4 1
-1909 10 17    11.2    11.3    11.3 1
-1909 10 18    12.1    12.2    12.2 1
-1909 10 19    11.2    11.3    11.3 1
-1909 10 20    11.4    11.5    11.5 1
-1909 10 21    12.3    12.4    12.4 1
-1909 10 22     9.4     9.5     9.5 1
-1909 10 23     9.6     9.7     9.7 1
-1909 10 24    10.3    10.4    10.4 1
-1909 10 25     8.4     8.5     8.5 1
-1909 10 26     6.1     6.1     6.1 1
-1909 10 27     6.0     6.0     6.0 1
-1909 10 28     7.8     7.8     7.8 1
-1909 10 29     8.0     8.0     8.0 1
-1909 10 30     9.0     9.0     9.0 1
-1909 10 31     6.1     6.1     6.1 1
-1909 11  1     4.0     4.0     4.0 1
-1909 11  2     3.7     3.7     3.7 1
-1909 11  3     3.7     3.7     3.7 1
-1909 11  4     3.0     3.0     3.0 1
-1909 11  5     2.1     2.1     2.1 1
-1909 11  6     4.3     4.3     4.3 1
-1909 11  7     5.3     5.3     5.3 1
-1909 11  8     0.5     0.5     0.5 1
-1909 11  9     5.8     5.8     5.8 1
-1909 11 10     6.6     6.6     6.6 1
-1909 11 11     0.9     0.9     0.9 1
-1909 11 12    -1.2    -1.3    -1.3 1
-1909 11 13    -3.6    -3.7    -3.7 1
-1909 11 14    -5.3    -5.4    -5.4 1
-1909 11 15    -4.5    -4.6    -4.6 1
-1909 11 16    -4.2    -4.3    -4.3 1
-1909 11 17    -3.5    -3.6    -3.6 1
-1909 11 18    -6.2    -6.3    -6.3 1
-1909 11 19    -2.5    -2.6    -2.6 1
-1909 11 20    -3.6    -3.7    -3.7 1
-1909 11 21    -5.1    -5.2    -5.2 1
-1909 11 22    -4.9    -5.0    -5.0 1
-1909 11 23    -6.0    -6.1    -6.1 1
-1909 11 24    -3.2    -3.3    -3.3 1
-1909 11 25    -6.4    -6.5    -6.5 1
-1909 11 26    -3.1    -3.2    -3.2 1
-1909 11 27    -8.0    -8.1    -8.1 1
-1909 11 28    -9.3    -9.4    -9.4 1
-1909 11 29    -9.0    -9.1    -9.1 1
-1909 11 30     1.0     0.9     0.9 1
-1909 12  1     1.1     1.0     1.0 1
-1909 12  2     0.7     0.6     0.6 1
-1909 12  3    -1.7    -1.8    -1.8 1
-1909 12  4     3.5     3.4     3.4 1
-1909 12  5     3.9     3.8     3.8 1
-1909 12  6     1.7     1.6     1.6 1
-1909 12  7     2.5     2.4     2.4 1
-1909 12  8     0.6     0.5     0.5 1
-1909 12  9    -0.6    -0.7    -0.7 1
-1909 12 10     1.2     1.1     1.1 1
-1909 12 11     1.7     1.6     1.6 1
-1909 12 12     1.8     1.7     1.7 1
-1909 12 13    -0.7    -0.8    -0.8 1
-1909 12 14    -1.8    -1.9    -1.9 1
-1909 12 15    -1.5    -1.6    -1.6 1
-1909 12 16    -0.7    -0.8    -0.8 1
-1909 12 17    -1.1    -1.2    -1.2 1
-1909 12 18    -0.6    -0.7    -0.7 1
-1909 12 19    -0.2    -0.3    -0.3 1
-1909 12 20    -5.1    -5.2    -5.2 1
-1909 12 21    -9.2    -9.3    -9.3 1
-1909 12 22    -8.1    -8.2    -8.2 1
-1909 12 23    -0.2    -0.3    -0.3 1
-1909 12 24    -0.7    -0.9    -0.9 1
-1909 12 25    -2.6    -2.8    -2.8 1
-1909 12 26     0.7     0.5     0.5 1
-1909 12 27     2.0     1.8     1.8 1
-1909 12 28    -2.4    -2.6    -2.6 1
-1909 12 29     0.2     0.0     0.0 1
-1909 12 30    -6.0    -6.2    -6.2 1
-1909 12 31    -4.3    -4.5    -4.5 1
-1910  1  1    -0.3    -0.5    -0.5 1
-1910  1  2     3.3     3.1     3.1 1
-1910  1  3     3.2     2.9     2.9 1
-1910  1  4     2.2     1.9     1.9 1
-1910  1  5    -0.4    -0.7    -0.7 1
-1910  1  6    -1.1    -1.4    -1.4 1
-1910  1  7    -0.5    -0.8    -0.8 1
-1910  1  8     2.0     1.7     1.7 1
-1910  1  9     1.6     1.3     1.3 1
-1910  1 10     4.9     4.6     4.6 1
-1910  1 11     2.7     2.4     2.4 1
-1910  1 12     0.7     0.4     0.4 1
-1910  1 13    -3.7    -4.1    -4.1 1
-1910  1 14    -3.5    -3.9    -3.9 1
-1910  1 15    -0.9    -1.3    -1.3 1
-1910  1 16    -0.9    -1.3    -1.3 1
-1910  1 17     2.9     2.5     2.5 1
-1910  1 18     1.6     1.2     1.2 1
-1910  1 19    -1.3    -1.7    -1.7 1
-1910  1 20    -2.6    -2.9    -2.9 1
-1910  1 21    -3.7    -4.0    -4.0 1
-1910  1 22    -3.3    -3.6    -3.6 1
-1910  1 23    -4.9    -5.2    -5.2 1
-1910  1 24    -8.5    -8.8    -8.8 1
-1910  1 25   -10.4   -10.7   -10.7 1
-1910  1 26    -6.6    -6.9    -6.9 1
-1910  1 27    -5.1    -5.4    -5.4 1
-1910  1 28   -11.2   -11.5   -11.5 1
-1910  1 29    -0.7    -1.0    -1.0 1
-1910  1 30     0.6     0.3     0.3 1
-1910  1 31    -3.5    -3.8    -3.8 1
-1910  2  1    -5.7    -6.0    -6.0 1
-1910  2  2    -0.2    -0.5    -0.5 1
-1910  2  3     0.5     0.2     0.2 1
-1910  2  4     0.5     0.2     0.2 1
-1910  2  5     1.0     0.7     0.7 1
-1910  2  6     1.3     1.0     1.0 1
-1910  2  7     0.7     0.4     0.4 1
-1910  2  8    -1.9    -2.2    -2.2 1
-1910  2  9    -2.3    -2.6    -2.6 1
-1910  2 10    -6.3    -6.6    -6.6 1
-1910  2 11    -0.9    -1.1    -1.1 1
-1910  2 12    -0.2    -0.4    -0.4 1
-1910  2 13    -2.5    -2.7    -2.7 1
-1910  2 14    -0.2    -0.4    -0.4 1
-1910  2 15    -0.1    -0.3    -0.3 1
-1910  2 16     1.3     1.1     1.1 1
-1910  2 17     0.8     0.6     0.6 1
-1910  2 18     3.8     3.6     3.6 1
-1910  2 19     3.3     3.1     3.1 1
-1910  2 20     1.7     1.5     1.5 1
-1910  2 21     2.3     2.0     2.0 1
-1910  2 22     2.4     2.1     2.1 1
-1910  2 23     0.4     0.1     0.1 1
-1910  2 24     0.4     0.1     0.1 1
-1910  2 25    -0.2    -0.5    -0.5 1
-1910  2 26    -0.5    -0.8    -0.8 1
-1910  2 27     0.0    -0.3    -0.3 1
-1910  2 28     2.2     1.9     1.9 1
-1910  3  1     0.7     0.4     0.4 1
-1910  3  2     1.4     1.1     1.1 1
-1910  3  3     2.5     2.2     2.2 1
-1910  3  4     1.2     0.9     0.9 1
-1910  3  5    -0.9    -1.2    -1.2 1
-1910  3  6     0.2    -0.1    -0.1 1
-1910  3  7     0.1    -0.2    -0.2 1
-1910  3  8    -0.5    -0.8    -0.8 1
-1910  3  9     0.2    -0.1    -0.1 1
-1910  3 10     3.9     3.6     3.6 1
-1910  3 11     4.3     4.0     4.0 1
-1910  3 12     2.7     2.4     2.4 1
-1910  3 13     1.9     1.6     1.6 1
-1910  3 14    -0.5    -0.8    -0.8 1
-1910  3 15     0.5     0.2     0.2 1
-1910  3 16     1.3     1.0     1.0 1
-1910  3 17     3.1     2.8     2.8 1
-1910  3 18     0.9     0.6     0.6 1
-1910  3 19     1.1     0.8     0.8 1
-1910  3 20     2.4     2.1     2.1 1
-1910  3 21     4.7     4.4     4.4 1
-1910  3 22     2.2     1.9     1.9 1
-1910  3 23     2.4     2.1     2.1 1
-1910  3 24     5.4     5.1     5.1 1
-1910  3 25     3.7     3.4     3.4 1
-1910  3 26     2.1     1.8     1.8 1
-1910  3 27    -0.8    -1.1    -1.1 1
-1910  3 28    -0.5    -0.8    -0.8 1
-1910  3 29    -1.3    -1.6    -1.6 1
-1910  3 30     0.2    -0.1    -0.1 1
-1910  3 31     4.5     4.2     4.2 1
-1910  4  1     2.6     2.4     2.4 1
-1910  4  2     2.6     2.4     2.4 1
-1910  4  3     2.8     2.6     2.6 1
-1910  4  4     4.0     3.8     3.8 1
-1910  4  5     3.3     3.1     3.1 1
-1910  4  6     2.3     2.1     2.1 1
-1910  4  7     3.4     3.2     3.2 1
-1910  4  8     4.3     4.1     4.1 1
-1910  4  9     2.7     2.5     2.5 1
-1910  4 10    -1.7    -1.9    -1.9 1
-1910  4 11     1.7     1.5     1.5 1
-1910  4 12     6.1     5.9     5.9 1
-1910  4 13     5.7     5.5     5.5 1
-1910  4 14     8.0     7.8     7.8 1
-1910  4 15     9.0     8.8     8.8 1
-1910  4 16    10.2    10.0    10.0 1
-1910  4 17     6.7     6.5     6.5 1
-1910  4 18     6.3     6.1     6.1 1
-1910  4 19     7.3     7.1     7.1 1
-1910  4 20     6.0     5.8     5.8 1
-1910  4 21     4.3     4.1     4.1 1
-1910  4 22     3.9     3.6     3.6 1
-1910  4 23     3.0     2.7     2.7 1
-1910  4 24     4.3     4.0     4.0 1
-1910  4 25     6.2     5.9     5.9 1
-1910  4 26     6.9     6.6     6.6 1
-1910  4 27     5.9     5.6     5.6 1
-1910  4 28     6.5     6.2     6.2 1
-1910  4 29     8.0     7.7     7.7 1
-1910  4 30     5.7     5.4     5.4 1
-1910  5  1     6.8     6.5     6.5 1
-1910  5  2     8.4     8.0     8.0 1
-1910  5  3     7.7     7.3     7.3 1
-1910  5  4     8.1     7.7     7.7 1
-1910  5  5     9.9     9.5     9.5 1
-1910  5  6     7.9     7.5     7.5 1
-1910  5  7     6.9     6.5     6.5 1
-1910  5  8     6.1     5.7     5.7 1
-1910  5  9     6.8     6.4     6.4 1
-1910  5 10     9.1     8.7     8.7 1
-1910  5 11    11.0    10.6    10.6 1
-1910  5 12    12.6    12.1    12.1 1
-1910  5 13    13.3    12.8    12.8 1
-1910  5 14    15.7    15.2    15.2 1
-1910  5 15    13.6    13.1    13.1 1
-1910  5 16    10.7    10.2    10.2 1
-1910  5 17     8.3     7.8     7.8 1
-1910  5 18     9.5     9.0     9.0 1
-1910  5 19    12.7    12.2    12.2 1
-1910  5 20    13.6    13.1    13.1 1
-1910  5 21    13.8    13.3    13.3 1
-1910  5 22    15.3    14.8    14.8 1
-1910  5 23    15.8    15.3    15.3 1
-1910  5 24     9.5     9.0     9.0 1
-1910  5 25    11.4    11.0    11.0 1
-1910  5 26    10.5    10.1    10.1 1
-1910  5 27     7.2     6.8     6.8 1
-1910  5 28     4.5     4.1     4.1 1
-1910  5 29     8.6     8.2     8.2 1
-1910  5 30     8.0     7.6     7.6 1
-1910  5 31    10.2     9.8     9.8 1
-1910  6  1    11.8    11.4    11.4 1
-1910  6  2    13.0    12.6    12.6 1
-1910  6  3    15.4    15.0    15.0 1
-1910  6  4    17.1    16.7    16.7 1
-1910  6  5    15.8    15.4    15.4 1
-1910  6  6    14.2    13.8    13.8 1
-1910  6  7    17.3    16.9    16.9 1
-1910  6  8    17.7    17.3    17.3 1
-1910  6  9    19.0    18.6    18.6 1
-1910  6 10    19.0    18.6    18.6 1
-1910  6 11    19.5    19.1    19.1 1
-1910  6 12    20.8    20.4    20.4 1
-1910  6 13    21.0    20.6    20.6 1
-1910  6 14    19.3    18.9    18.9 1
-1910  6 15    19.8    19.4    19.4 1
-1910  6 16    14.6    14.2    14.2 1
-1910  6 17    15.2    14.8    14.8 1
-1910  6 18    10.2     9.8     9.8 1
-1910  6 19     7.7     7.3     7.3 1
-1910  6 20    11.7    11.3    11.3 1
-1910  6 21    13.9    13.5    13.5 1
-1910  6 22    14.1    13.7    13.7 1
-1910  6 23    15.0    14.6    14.6 1
-1910  6 24    14.4    14.0    14.0 1
-1910  6 25    10.1     9.7     9.7 1
-1910  6 26    11.2    10.8    10.8 1
-1910  6 27    13.6    13.2    13.2 1
-1910  6 28    13.2    12.8    12.8 1
-1910  6 29    13.8    13.4    13.4 1
-1910  6 30    15.1    14.7    14.7 1
-1910  7  1    12.9    12.5    12.5 1
-1910  7  2    12.1    11.7    11.7 1
-1910  7  3    15.2    14.8    14.8 1
-1910  7  4    15.9    15.5    15.5 1
-1910  7  5    13.9    13.5    13.5 1
-1910  7  6    15.7    15.3    15.3 1
-1910  7  7    19.0    18.6    18.6 1
-1910  7  8    17.3    16.9    16.9 1
-1910  7  9    11.1    10.7    10.7 1
-1910  7 10     8.8     8.4     8.4 1
-1910  7 11    11.9    11.5    11.5 1
-1910  7 12    16.6    16.2    16.2 1
-1910  7 13    19.4    19.0    19.0 1
-1910  7 14    21.2    20.8    20.8 1
-1910  7 15    11.8    11.4    11.4 1
-1910  7 16    12.8    12.5    12.5 1
-1910  7 17    13.3    13.0    13.0 1
-1910  7 18    13.7    13.4    13.4 1
-1910  7 19    13.0    12.7    12.7 1
-1910  7 20    12.8    12.5    12.5 1
-1910  7 21    12.7    12.4    12.4 1
-1910  7 22    13.7    13.4    13.4 1
-1910  7 23    14.0    13.7    13.7 1
-1910  7 24    15.2    14.9    14.9 1
-1910  7 25    15.9    15.6    15.6 1
-1910  7 26    16.2    15.9    15.9 1
-1910  7 27    17.4    17.1    17.1 1
-1910  7 28    16.8    16.6    16.6 1
-1910  7 29    18.0    17.8    17.8 1
-1910  7 30    19.2    19.0    19.0 1
-1910  7 31    19.5    19.3    19.3 1
-1910  8  1    20.2    20.0    20.0 1
-1910  8  2    20.8    20.6    20.6 1
-1910  8  3    19.1    18.9    18.9 1
-1910  8  4    18.7    18.5    18.5 1
-1910  8  5    15.8    15.6    15.6 1
-1910  8  6    13.5    13.3    13.3 1
-1910  8  7    15.0    14.8    14.8 1
-1910  8  8    16.8    16.6    16.6 1
-1910  8  9    15.6    15.4    15.4 1
-1910  8 10    11.3    11.2    11.2 1
-1910  8 11    14.4    14.3    14.3 1
-1910  8 12    11.5    11.4    11.4 1
-1910  8 13    11.0    10.9    10.9 1
-1910  8 14    12.6    12.5    12.5 1
-1910  8 15    13.8    13.7    13.7 1
-1910  8 16    15.6    15.5    15.5 1
-1910  8 17    12.7    12.6    12.6 1
-1910  8 18    14.3    14.2    14.2 1
-1910  8 19    14.9    14.8    14.8 1
-1910  8 20    13.7    13.6    13.6 1
-1910  8 21    14.3    14.2    14.2 1
-1910  8 22    14.1    14.0    14.0 1
-1910  8 23    11.7    11.7    11.7 1
-1910  8 24    11.3    11.3    11.3 1
-1910  8 25    12.7    12.7    12.7 1
-1910  8 26    13.5    13.5    13.5 1
-1910  8 27    13.0    13.0    13.0 1
-1910  8 28    13.5    13.5    13.5 1
-1910  8 29    13.4    13.4    13.4 1
-1910  8 30    13.9    13.9    13.9 1
-1910  8 31    14.5    14.5    14.5 1
-1910  9  1    14.5    14.5    14.5 1
-1910  9  2    15.2    15.2    15.2 1
-1910  9  3    14.2    14.2    14.2 1
-1910  9  4    14.9    14.9    14.9 1
-1910  9  5    14.0    14.1    14.1 1
-1910  9  6    12.2    12.3    12.3 1
-1910  9  7    11.4    11.5    11.5 1
-1910  9  8    12.3    12.4    12.4 1
-1910  9  9    11.7    11.8    11.8 1
-1910  9 10    13.4    13.5    13.5 1
-1910  9 11    14.3    14.4    14.4 1
-1910  9 12    14.0    14.1    14.1 1
-1910  9 13    14.9    15.0    15.0 1
-1910  9 14    15.0    15.1    15.1 1
-1910  9 15    15.2    15.3    15.3 1
-1910  9 16    13.2    13.3    13.3 1
-1910  9 17     8.2     8.3     8.3 1
-1910  9 18    11.1    11.2    11.2 1
-1910  9 19    12.7    12.8    12.8 1
-1910  9 20     6.7     6.8     6.8 1
-1910  9 21     6.7     6.8     6.8 1
-1910  9 22    10.9    11.0    11.0 1
-1910  9 23     9.7     9.8     9.8 1
-1910  9 24     6.4     6.5     6.5 1
-1910  9 25     5.4     5.5     5.5 1
-1910  9 26     8.6     8.7     8.7 1
-1910  9 27    10.4    10.5    10.5 1
-1910  9 28    10.2    10.3    10.3 1
-1910  9 29    12.7    12.8    12.8 1
-1910  9 30    11.9    12.0    12.0 1
-1910 10  1    10.0    10.1    10.1 1
-1910 10  2     8.0     8.1     8.1 1
-1910 10  3    10.8    10.9    10.9 1
-1910 10  4     9.1     9.2     9.2 1
-1910 10  5     8.4     8.5     8.5 1
-1910 10  6    10.0    10.1    10.1 1
-1910 10  7     9.3     9.4     9.4 1
-1910 10  8    11.8    11.9    11.9 1
-1910 10  9     9.1     9.2     9.2 1
-1910 10 10     9.0     9.1     9.1 1
-1910 10 11     9.4     9.5     9.5 1
-1910 10 12    11.3    11.4    11.4 1
-1910 10 13     4.0     4.1     4.1 1
-1910 10 14     5.6     5.7     5.7 1
-1910 10 15     9.0     9.1     9.1 1
-1910 10 16     8.9     9.0     9.0 1
-1910 10 17     9.1     9.2     9.2 1
-1910 10 18     7.1     7.2     7.2 1
-1910 10 19     9.0     9.1     9.1 1
-1910 10 20     8.9     9.0     9.0 1
-1910 10 21     4.1     4.2     4.2 1
-1910 10 22     2.7     2.8     2.8 1
-1910 10 23     2.5     2.6     2.6 1
-1910 10 24     4.0     4.1     4.1 1
-1910 10 25     4.7     4.8     4.8 1
-1910 10 26     6.2     6.2     6.2 1
-1910 10 27     3.0     3.0     3.0 1
-1910 10 28     4.0     4.0     4.0 1
-1910 10 29     4.6     4.6     4.6 1
-1910 10 30     1.4     1.4     1.4 1
-1910 10 31     0.6     0.6     0.6 1
-1910 11  1     5.0     5.0     5.0 1
-1910 11  2     3.9     3.9     3.9 1
-1910 11  3     4.4     4.4     4.4 1
-1910 11  4     1.0     1.0     1.0 1
-1910 11  5    -2.8    -2.8    -2.8 1
-1910 11  6    -2.5    -2.5    -2.5 1
-1910 11  7     1.0     1.0     1.0 1
-1910 11  8     5.9     5.9     5.9 1
-1910 11  9     4.4     4.4     4.4 1
-1910 11 10     2.4     2.4     2.4 1
-1910 11 11    -1.8    -1.8    -1.8 1
-1910 11 12    -1.2    -1.3    -1.3 1
-1910 11 13    -3.4    -3.5    -3.5 1
-1910 11 14     0.7     0.6     0.6 1
-1910 11 15     3.4     3.3     3.3 1
-1910 11 16     3.5     3.4     3.4 1
-1910 11 17     2.4     2.3     2.3 1
-1910 11 18     1.4     1.3     1.3 1
-1910 11 19     2.0     1.9     1.9 1
-1910 11 20     3.4     3.3     3.3 1
-1910 11 21     2.6     2.5     2.5 1
-1910 11 22     2.6     2.5     2.5 1
-1910 11 23     0.8     0.7     0.7 1
-1910 11 24    -1.3    -1.4    -1.4 1
-1910 11 25    -0.9    -1.0    -1.0 1
-1910 11 26    -0.2    -0.3    -0.3 1
-1910 11 27     0.4     0.3     0.3 1
-1910 11 28     1.3     1.2     1.2 1
-1910 11 29     3.3     3.2     3.2 1
-1910 11 30     2.7     2.6     2.6 1
-1910 12  1     0.7     0.6     0.6 1
-1910 12  2    -2.5    -2.6    -2.6 1
-1910 12  3    -4.4    -4.5    -4.5 1
-1910 12  4    -4.6    -4.7    -4.7 1
-1910 12  5    -1.2    -1.3    -1.3 1
-1910 12  6     1.5     1.4     1.4 1
-1910 12  7     2.8     2.7     2.7 1
-1910 12  8     2.3     2.2     2.2 1
-1910 12  9     0.4     0.3     0.3 1
-1910 12 10     3.5     3.4     3.4 1
-1910 12 11     2.1     2.0     2.0 1
-1910 12 12     1.6     1.5     1.5 1
-1910 12 13    -0.5    -0.6    -0.6 1
-1910 12 14     0.4     0.3     0.3 1
-1910 12 15     2.8     2.7     2.7 1
-1910 12 16     4.4     4.3     4.3 1
-1910 12 17     5.6     5.5     5.5 1
-1910 12 18     5.4     5.3     5.3 1
-1910 12 19     2.9     2.8     2.8 1
-1910 12 20     2.3     2.2     2.2 1
-1910 12 21    -1.9    -2.0    -2.0 1
-1910 12 22     2.0     1.9     1.9 1
-1910 12 23     2.5     2.4     2.4 1
-1910 12 24     4.5     4.3     4.3 1
-1910 12 25    -2.0    -2.2    -2.2 1
-1910 12 26    -5.2    -5.4    -5.4 1
-1910 12 27    -5.5    -5.7    -5.7 1
-1910 12 28    -5.0    -5.2    -5.2 1
-1910 12 29     0.7     0.5     0.5 1
-1910 12 30     0.2     0.0     0.0 1
-1910 12 31    -2.1    -2.3    -2.3 1
-1911  1  1     2.7     2.5     2.5 1
-1911  1  2     2.1     1.9     1.9 1
-1911  1  3    -0.4    -0.7    -0.7 1
-1911  1  4    -1.8    -2.1    -2.1 1
-1911  1  5    -1.8    -2.1    -2.1 1
-1911  1  6     1.3     1.0     1.0 1
-1911  1  7     0.7     0.4     0.4 1
-1911  1  8     1.1     0.8     0.8 1
-1911  1  9     0.9     0.6     0.6 1
-1911  1 10    -0.4    -0.7    -0.7 1
-1911  1 11    -4.7    -5.0    -5.0 1
-1911  1 12    -3.8    -4.1    -4.1 1
-1911  1 13    -7.0    -7.4    -7.4 1
-1911  1 14    -6.3    -6.7    -6.7 1
-1911  1 15    -0.2    -0.6    -0.6 1
-1911  1 16     1.3     0.9     0.9 1
-1911  1 17     2.4     2.0     2.0 1
-1911  1 18     2.0     1.6     1.6 1
-1911  1 19     2.6     2.2     2.2 1
-1911  1 20     2.5     2.2     2.2 1
-1911  1 21     2.1     1.8     1.8 1
-1911  1 22    -0.7    -1.0    -1.0 1
-1911  1 23    -3.3    -3.6    -3.6 1
-1911  1 24    -2.7    -3.0    -3.0 1
-1911  1 25     1.4     1.1     1.1 1
-1911  1 26     0.8     0.5     0.5 1
-1911  1 27    -3.8    -4.1    -4.1 1
-1911  1 28    -5.5    -5.8    -5.8 1
-1911  1 29    -6.2    -6.5    -6.5 1
-1911  1 30    -6.8    -7.1    -7.1 1
-1911  1 31    -2.6    -2.9    -2.9 1
-1911  2  1    -2.2    -2.5    -2.5 1
-1911  2  2     0.3     0.0     0.0 1
-1911  2  3     0.0    -0.3    -0.3 1
-1911  2  4     3.1     2.8     2.8 1
-1911  2  5    -3.2    -3.5    -3.5 1
-1911  2  6    -8.7    -9.0    -9.0 1
-1911  2  7    -3.6    -3.9    -3.9 1
-1911  2  8    -5.1    -5.4    -5.4 1
-1911  2  9    -0.8    -1.1    -1.1 1
-1911  2 10    -1.5    -1.8    -1.8 1
-1911  2 11    -1.6    -1.8    -1.8 1
-1911  2 12    -0.7    -0.9    -0.9 1
-1911  2 13    -1.0    -1.2    -1.2 1
-1911  2 14    -0.2    -0.4    -0.4 1
-1911  2 15     0.5     0.3     0.3 1
-1911  2 16    -0.3    -0.5    -0.5 1
-1911  2 17     1.6     1.4     1.4 1
-1911  2 18    -4.4    -4.6    -4.6 1
-1911  2 19    -5.0    -5.2    -5.2 1
-1911  2 20    -7.0    -7.2    -7.2 1
-1911  2 21    -5.7    -6.0    -6.0 1
-1911  2 22     1.0     0.7     0.7 1
-1911  2 23     2.5     2.2     2.2 1
-1911  2 24     1.1     0.8     0.8 1
-1911  2 25    -5.3    -5.6    -5.6 1
-1911  2 26    -2.6    -2.9    -2.9 1
-1911  2 27    -0.7    -1.0    -1.0 1
-1911  2 28    -1.9    -2.2    -2.2 1
-1911  3  1     1.5     1.2     1.2 1
-1911  3  2     0.6     0.3     0.3 1
-1911  3  3     0.4     0.1     0.1 1
-1911  3  4     2.0     1.7     1.7 1
-1911  3  5     0.2    -0.1    -0.1 1
-1911  3  6    -0.7    -1.0    -1.0 1
-1911  3  7    -1.5    -1.8    -1.8 1
-1911  3  8    -2.5    -2.8    -2.8 1
-1911  3  9    -0.3    -0.6    -0.6 1
-1911  3 10     0.6     0.3     0.3 1
-1911  3 11     2.8     2.5     2.5 1
-1911  3 12     1.6     1.3     1.3 1
-1911  3 13     1.9     1.6     1.6 1
-1911  3 14     1.0     0.7     0.7 1
-1911  3 15     0.7     0.4     0.4 1
-1911  3 16    -0.9    -1.2    -1.2 1
-1911  3 17    -3.2    -3.5    -3.5 1
-1911  3 18    -2.2    -2.5    -2.5 1
-1911  3 19    -2.5    -2.8    -2.8 1
-1911  3 20    -0.8    -1.1    -1.1 1
-1911  3 21    -0.6    -0.9    -0.9 1
-1911  3 22    -0.1    -0.4    -0.4 1
-1911  3 23     0.6     0.3     0.3 1
-1911  3 24    -1.4    -1.7    -1.7 1
-1911  3 25    -1.6    -1.9    -1.9 1
-1911  3 26     1.7     1.4     1.4 1
-1911  3 27     5.1     4.8     4.8 1
-1911  3 28     3.7     3.4     3.4 1
-1911  3 29     1.1     0.8     0.8 1
-1911  3 30     3.7     3.4     3.4 1
-1911  3 31     4.8     4.5     4.5 1
-1911  4  1     3.8     3.6     3.6 1
-1911  4  2     3.6     3.4     3.4 1
-1911  4  3    -3.3    -3.5    -3.5 1
-1911  4  4    -6.7    -6.9    -6.9 1
-1911  4  5    -4.2    -4.4    -4.4 1
-1911  4  6     1.9     1.7     1.7 1
-1911  4  7     3.7     3.5     3.5 1
-1911  4  8     5.8     5.6     5.6 1
-1911  4  9     3.1     2.9     2.9 1
-1911  4 10     1.4     1.2     1.2 1
-1911  4 11     5.4     5.2     5.2 1
-1911  4 12     4.8     4.6     4.6 1
-1911  4 13     1.6     1.4     1.4 1
-1911  4 14     4.6     4.4     4.4 1
-1911  4 15     3.5     3.3     3.3 1
-1911  4 16     1.8     1.6     1.6 1
-1911  4 17     1.9     1.7     1.7 1
-1911  4 18     4.9     4.7     4.7 1
-1911  4 19     7.9     7.7     7.7 1
-1911  4 20    10.0     9.8     9.8 1
-1911  4 21     8.8     8.6     8.6 1
-1911  4 22    10.6    10.3    10.3 1
-1911  4 23    10.3    10.0    10.0 1
-1911  4 24     8.5     8.2     8.2 1
-1911  4 25     6.0     5.7     5.7 1
-1911  4 26     5.8     5.5     5.5 1
-1911  4 27     5.3     5.0     5.0 1
-1911  4 28     6.2     5.9     5.9 1
-1911  4 29     6.2     5.9     5.9 1
-1911  4 30     4.9     4.6     4.6 1
-1911  5  1     7.2     6.9     6.9 1
-1911  5  2     7.9     7.5     7.5 1
-1911  5  3     8.4     8.0     8.0 1
-1911  5  4     8.8     8.4     8.4 1
-1911  5  5     9.0     8.6     8.6 1
-1911  5  6     7.8     7.4     7.4 1
-1911  5  7     9.5     9.1     9.1 1
-1911  5  8    13.4    13.0    13.0 1
-1911  5  9    15.6    15.2    15.2 1
-1911  5 10    12.5    12.1    12.1 1
-1911  5 11    11.3    10.9    10.9 1
-1911  5 12    13.2    12.7    12.7 1
-1911  5 13    15.1    14.6    14.6 1
-1911  5 14    13.9    13.4    13.4 1
-1911  5 15     7.4     6.9     6.9 1
-1911  5 16     6.8     6.3     6.3 1
-1911  5 17     9.5     9.0     9.0 1
-1911  5 18     8.7     8.2     8.2 1
-1911  5 19     8.0     7.5     7.5 1
-1911  5 20     4.8     4.3     4.3 1
-1911  5 21     2.2     1.7     1.7 1
-1911  5 22     7.1     6.6     6.6 1
-1911  5 23     8.6     8.1     8.1 1
-1911  5 24    10.8    10.3    10.3 1
-1911  5 25    14.1    13.7    13.7 1
-1911  5 26    14.7    14.3    14.3 1
-1911  5 27    17.9    17.5    17.5 1
-1911  5 28    18.3    17.9    17.9 1
-1911  5 29    19.0    18.6    18.6 1
-1911  5 30    17.2    16.8    16.8 1
-1911  5 31    11.5    11.1    11.1 1
-1911  6  1    13.0    12.6    12.6 1
-1911  6  2    19.2    18.8    18.8 1
-1911  6  3    17.2    16.8    16.8 1
-1911  6  4    18.0    17.6    17.6 1
-1911  6  5    19.2    18.8    18.8 1
-1911  6  6    18.0    17.6    17.6 1
-1911  6  7    12.2    11.8    11.8 1
-1911  6  8    10.6    10.2    10.2 1
-1911  6  9     7.2     6.8     6.8 1
-1911  6 10     5.4     5.0     5.0 1
-1911  6 11     4.7     4.3     4.3 1
-1911  6 12     6.2     5.8     5.8 1
-1911  6 13     7.6     7.2     7.2 1
-1911  6 14    10.4    10.0    10.0 1
-1911  6 15     9.9     9.5     9.5 1
-1911  6 16    10.1     9.7     9.7 1
-1911  6 17    11.3    10.9    10.9 1
-1911  6 18    10.1     9.7     9.7 1
-1911  6 19    11.3    10.9    10.9 1
-1911  6 20    11.6    11.2    11.2 1
-1911  6 21    14.5    14.1    14.1 1
-1911  6 22    16.9    16.5    16.5 1
-1911  6 23    17.9    17.5    17.5 1
-1911  6 24    16.6    16.2    16.2 1
-1911  6 25    18.9    18.5    18.5 1
-1911  6 26    16.4    16.0    16.0 1
-1911  6 27    15.7    15.3    15.3 1
-1911  6 28    15.5    15.1    15.1 1
-1911  6 29    14.7    14.3    14.3 1
-1911  6 30    15.4    15.0    15.0 1
-1911  7  1    14.8    14.4    14.4 1
-1911  7  2    13.4    13.0    13.0 1
-1911  7  3    11.5    11.1    11.1 1
-1911  7  4    12.0    11.6    11.6 1
-1911  7  5    15.5    15.1    15.1 1
-1911  7  6    18.1    17.7    17.7 1
-1911  7  7    18.1    17.7    17.7 1
-1911  7  8    13.6    13.2    13.2 1
-1911  7  9    13.5    13.1    13.1 1
-1911  7 10    16.6    16.2    16.2 1
-1911  7 11    15.1    14.7    14.7 1
-1911  7 12    15.0    14.6    14.6 1
-1911  7 13    17.5    17.1    17.1 1
-1911  7 14    19.9    19.5    19.5 1
-1911  7 15    12.9    12.5    12.5 1
-1911  7 16    12.5    12.2    12.2 1
-1911  7 17    13.5    13.2    13.2 1
-1911  7 18    13.4    13.1    13.1 1
-1911  7 19    16.0    15.7    15.7 1
-1911  7 20    13.4    13.1    13.1 1
-1911  7 21    15.3    15.0    15.0 1
-1911  7 22    18.0    17.7    17.7 1
-1911  7 23    19.3    19.0    19.0 1
-1911  7 24    17.6    17.3    17.3 1
-1911  7 25    17.3    17.0    17.0 1
-1911  7 26    18.9    18.6    18.6 1
-1911  7 27    18.4    18.1    18.1 1
-1911  7 28    19.5    19.3    19.3 1
-1911  7 29    20.4    20.2    20.2 1
-1911  7 30    19.5    19.3    19.3 1
-1911  7 31    21.7    21.5    21.5 1
-1911  8  1    23.0    22.8    22.8 1
-1911  8  2    23.7    23.5    23.5 1
-1911  8  3    23.5    23.3    23.3 1
-1911  8  4    23.3    23.1    23.1 1
-1911  8  5    22.0    21.8    21.8 1
-1911  8  6    22.6    22.4    22.4 1
-1911  8  7    20.5    20.3    20.3 1
-1911  8  8    21.9    21.7    21.7 1
-1911  8  9    22.4    22.2    22.2 1
-1911  8 10    23.3    23.2    23.2 1
-1911  8 11    23.8    23.7    23.7 1
-1911  8 12    23.9    23.8    23.8 1
-1911  8 13    20.3    20.2    20.2 1
-1911  8 14    15.8    15.7    15.7 1
-1911  8 15    12.1    12.0    12.0 1
-1911  8 16    12.1    12.0    12.0 1
-1911  8 17    11.4    11.3    11.3 1
-1911  8 18    10.6    10.5    10.5 1
-1911  8 19    11.6    11.5    11.5 1
-1911  8 20    11.9    11.8    11.8 1
-1911  8 21    13.5    13.4    13.4 1
-1911  8 22    15.5    15.4    15.4 1
-1911  8 23    15.4    15.4    15.4 1
-1911  8 24    15.5    15.5    15.5 1
-1911  8 25    16.7    16.7    16.7 1
-1911  8 26    18.3    18.3    18.3 1
-1911  8 27    16.4    16.4    16.4 1
-1911  8 28    15.8    15.8    15.8 1
-1911  8 29    15.5    15.5    15.5 1
-1911  8 30    13.8    13.8    13.8 1
-1911  8 31    12.8    12.8    12.8 1
-1911  9  1    11.9    11.9    11.9 1
-1911  9  2    15.4    15.4    15.4 1
-1911  9  3    15.9    15.9    15.9 1
-1911  9  4    12.7    12.7    12.7 1
-1911  9  5    11.7    11.8    11.8 1
-1911  9  6    12.2    12.3    12.3 1
-1911  9  7    14.3    14.4    14.4 1
-1911  9  8    15.1    15.2    15.2 1
-1911  9  9     9.6     9.7     9.7 1
-1911  9 10     9.4     9.5     9.5 1
-1911  9 11    10.4    10.5    10.5 1
-1911  9 12    13.8    13.9    13.9 1
-1911  9 13    14.7    14.8    14.8 1
-1911  9 14    12.6    12.7    12.7 1
-1911  9 15     8.4     8.5     8.5 1
-1911  9 16     7.5     7.6     7.6 1
-1911  9 17     9.8     9.9     9.9 1
-1911  9 18    11.3    11.4    11.4 1
-1911  9 19    11.0    11.1    11.1 1
-1911  9 20    13.1    13.2    13.2 1
-1911  9 21    13.9    14.0    14.0 1
-1911  9 22    13.8    13.9    13.9 1
-1911  9 23    13.1    13.2    13.2 1
-1911  9 24    13.1    13.2    13.2 1
-1911  9 25    13.7    13.8    13.8 1
-1911  9 26    14.0    14.1    14.1 1
-1911  9 27    13.2    13.3    13.3 1
-1911  9 28    12.1    12.2    12.2 1
-1911  9 29     8.9     9.0     9.0 1
-1911  9 30     8.2     8.3     8.3 1
-1911 10  1     6.5     6.6     6.6 1
-1911 10  2     8.9     9.0     9.0 1
-1911 10  3    11.0    11.1    11.1 1
-1911 10  4     9.5     9.6     9.6 1
-1911 10  5     6.2     6.3     6.3 1
-1911 10  6     5.5     5.6     5.6 1
-1911 10  7     8.5     8.6     8.6 1
-1911 10  8     5.4     5.5     5.5 1
-1911 10  9     3.5     3.6     3.6 1
-1911 10 10     3.4     3.5     3.5 1
-1911 10 11    10.4    10.5    10.5 1
-1911 10 12     8.4     8.5     8.5 1
-1911 10 13     9.3     9.4     9.4 1
-1911 10 14     2.9     3.0     3.0 1
-1911 10 15     3.4     3.5     3.5 1
-1911 10 16     5.4     5.5     5.5 1
-1911 10 17     6.7     6.8     6.8 1
-1911 10 18     5.2     5.3     5.3 1
-1911 10 19     1.4     1.5     1.5 1
-1911 10 20     1.9     2.0     2.0 1
-1911 10 21     5.8     5.9     5.9 1
-1911 10 22     9.1     9.2     9.2 1
-1911 10 23     9.3     9.4     9.4 1
-1911 10 24     1.5     1.6     1.6 1
-1911 10 25     8.1     8.2     8.2 1
-1911 10 26     5.9     5.9     5.9 1
-1911 10 27     0.4     0.4     0.4 1
-1911 10 28    -0.1    -0.1    -0.1 1
-1911 10 29    -1.6    -1.6    -1.6 1
-1911 10 30     1.4     1.4     1.4 1
-1911 10 31     6.9     6.9     6.9 1
-1911 11  1     5.1     5.1     5.1 1
-1911 11  2     3.5     3.5     3.5 1
-1911 11  3     5.9     5.9     5.9 1
-1911 11  4     6.3     6.3     6.3 1
-1911 11  5     6.2     6.2     6.2 1
-1911 11  6     7.3     7.3     7.3 1
-1911 11  7     5.7     5.7     5.7 1
-1911 11  8     5.5     5.5     5.5 1
-1911 11  9     6.5     6.5     6.5 1
-1911 11 10     5.3     5.3     5.3 1
-1911 11 11     2.7     2.7     2.7 1
-1911 11 12     2.7     2.6     2.6 1
-1911 11 13     2.4     2.3     2.3 1
-1911 11 14     5.5     5.4     5.4 1
-1911 11 15     6.3     6.2     6.2 1
-1911 11 16     6.8     6.7     6.7 1
-1911 11 17     6.5     6.4     6.4 1
-1911 11 18     7.8     7.7     7.7 1
-1911 11 19     6.3     6.2     6.2 1
-1911 11 20     5.0     4.9     4.9 1
-1911 11 21     0.1     0.0     0.0 1
-1911 11 22    -3.0    -3.1    -3.1 1
-1911 11 23    -4.8    -4.9    -4.9 1
-1911 11 24    -2.6    -2.7    -2.7 1
-1911 11 25    -0.4    -0.5    -0.5 1
-1911 11 26    -0.7    -0.8    -0.8 1
-1911 11 27    -3.1    -3.2    -3.2 1
-1911 11 28     3.2     3.1     3.1 1
-1911 11 29     2.8     2.7     2.7 1
-1911 11 30     2.1     2.0     2.0 1
-1911 12  1     2.2     2.1     2.1 1
-1911 12  2     2.0     1.9     1.9 1
-1911 12  3     1.3     1.2     1.2 1
-1911 12  4     2.5     2.4     2.4 1
-1911 12  5    -0.3    -0.4    -0.4 1
-1911 12  6     0.9     0.8     0.8 1
-1911 12  7     2.9     2.8     2.8 1
-1911 12  8     2.6     2.5     2.5 1
-1911 12  9     3.4     3.3     3.3 1
-1911 12 10     3.9     3.8     3.8 1
-1911 12 11     2.2     2.1     2.1 1
-1911 12 12     4.6     4.5     4.5 1
-1911 12 13     2.6     2.5     2.5 1
-1911 12 14     0.4     0.3     0.3 1
-1911 12 15    -0.3    -0.4    -0.4 1
-1911 12 16    -0.7    -0.8    -0.8 1
-1911 12 17     2.9     2.8     2.8 1
-1911 12 18     4.6     4.5     4.5 1
-1911 12 19     4.7     4.6     4.6 1
-1911 12 20     4.8     4.7     4.7 1
-1911 12 21     3.5     3.4     3.4 1
-1911 12 22     1.6     1.5     1.5 1
-1911 12 23     0.4     0.3     0.3 1
-1911 12 24    -2.0    -2.2    -2.2 1
-1911 12 25     1.7     1.5     1.5 1
-1911 12 26     2.7     2.5     2.5 1
-1911 12 27     1.3     1.1     1.1 1
-1911 12 28     0.1    -0.1    -0.1 1
-1911 12 29    -1.0    -1.2    -1.2 1
-1911 12 30    -6.0    -6.2    -6.2 1
-1911 12 31    -3.7    -3.9    -3.9 1
-1912  1  1     1.9     1.7     1.7 1
-1912  1  2     4.7     4.5     4.5 1
-1912  1  3    -0.4    -0.7    -0.7 1
-1912  1  4    -5.0    -5.3    -5.3 1
-1912  1  5    -7.0    -7.3    -7.3 1
-1912  1  6    -6.6    -6.9    -6.9 1
-1912  1  7    -7.8    -8.1    -8.1 1
-1912  1  8   -12.8   -13.1   -13.1 1
-1912  1  9   -11.1   -11.4   -11.4 1
-1912  1 10    -8.8    -9.1    -9.1 1
-1912  1 11    -8.5    -8.8    -8.8 1
-1912  1 12    -2.1    -2.4    -2.4 1
-1912  1 13    -1.7    -2.1    -2.1 1
-1912  1 14    -3.6    -4.0    -4.0 1
-1912  1 15    -3.4    -3.8    -3.8 1
-1912  1 16    -2.9    -3.3    -3.3 1
-1912  1 17    -4.3    -4.7    -4.7 1
-1912  1 18    -6.7    -7.1    -7.1 1
-1912  1 19    -3.4    -3.8    -3.8 1
-1912  1 20    -2.7    -3.0    -3.0 1
-1912  1 21    -2.6    -2.9    -2.9 1
-1912  1 22    -3.7    -4.0    -4.0 1
-1912  1 23    -6.8    -7.1    -7.1 1
-1912  1 24    -5.0    -5.3    -5.3 1
-1912  1 25    -3.8    -4.1    -4.1 1
-1912  1 26   -11.0   -11.3   -11.3 1
-1912  1 27    -9.7   -10.0   -10.0 1
-1912  1 28    -3.4    -3.7    -3.7 1
-1912  1 29    -6.2    -6.5    -6.5 1
-1912  1 30    -4.9    -5.2    -5.2 1
-1912  1 31    -7.2    -7.5    -7.5 1
-1912  2  1   -11.7   -12.0   -12.0 1
-1912  2  2   -15.0   -15.3   -15.3 1
-1912  2  3   -16.6   -16.9   -16.9 1
-1912  2  4    -9.8   -10.1   -10.1 1
-1912  2  5    -4.0    -4.3    -4.3 1
-1912  2  6    -7.9    -8.2    -8.2 1
-1912  2  7    -1.9    -2.2    -2.2 1
-1912  2  8     0.2    -0.1    -0.1 1
-1912  2  9     1.7     1.4     1.4 1
-1912  2 10    -0.7    -1.0    -1.0 1
-1912  2 11    -1.1    -1.3    -1.3 1
-1912  2 12    -5.2    -5.4    -5.4 1
-1912  2 13    -7.2    -7.4    -7.4 1
-1912  2 14    -6.4    -6.6    -6.6 1
-1912  2 15    -3.9    -4.1    -4.1 1
-1912  2 16    -1.7    -1.9    -1.9 1
-1912  2 17     0.7     0.5     0.5 1
-1912  2 18     0.3     0.1     0.1 1
-1912  2 19    -2.2    -2.4    -2.4 1
-1912  2 20    -5.1    -5.3    -5.3 1
-1912  2 21    -6.9    -7.2    -7.2 1
-1912  2 22    -3.9    -4.2    -4.2 1
-1912  2 23    -7.0    -7.3    -7.3 1
-1912  2 24    -4.5    -4.8    -4.8 1
-1912  2 25    -3.2    -3.5    -3.5 1
-1912  2 26     1.2     0.9     0.9 1
-1912  2 27     2.3     2.0     2.0 1
-1912  2 28     1.4     1.1     1.1 1
-1912  2 29     3.3     3.0     3.0 1
-1912  3  1     4.8     4.5     4.5 1
-1912  3  2     3.8     3.5     3.5 1
-1912  3  3     4.9     4.6     4.6 1
-1912  3  4     4.6     4.3     4.3 1
-1912  3  5     3.0     2.7     2.7 1
-1912  3  6     3.4     3.1     3.1 1
-1912  3  7     2.0     1.7     1.7 1
-1912  3  8     1.6     1.3     1.3 1
-1912  3  9     1.3     1.0     1.0 1
-1912  3 10    -1.5    -1.8    -1.8 1
-1912  3 11    -1.3    -1.6    -1.6 1
-1912  3 12    -4.2    -4.5    -4.5 1
-1912  3 13    -5.2    -5.5    -5.5 1
-1912  3 14    -1.5    -1.8    -1.8 1
-1912  3 15    -0.9    -1.2    -1.2 1
-1912  3 16     0.6     0.3     0.3 1
-1912  3 17     1.2     0.9     0.9 1
-1912  3 18     0.3     0.0     0.0 1
-1912  3 19     0.4     0.1     0.1 1
-1912  3 20     0.7     0.4     0.4 1
-1912  3 21     1.9     1.6     1.6 1
-1912  3 22     1.0     0.7     0.7 1
-1912  3 23     3.5     3.2     3.2 1
-1912  3 24     3.7     3.4     3.4 1
-1912  3 25     3.5     3.2     3.2 1
-1912  3 26     3.1     2.8     2.8 1
-1912  3 27     5.5     5.2     5.2 1
-1912  3 28     2.7     2.4     2.4 1
-1912  3 29     2.3     2.0     2.0 1
-1912  3 30     2.5     2.2     2.2 1
-1912  3 31     0.0    -0.3    -0.3 1
-1912  4  1     0.1    -0.1    -0.1 1
-1912  4  2    -3.4    -3.6    -3.6 1
-1912  4  3     0.7     0.5     0.5 1
-1912  4  4     5.4     5.2     5.2 1
-1912  4  5     4.7     4.5     4.5 1
-1912  4  6     2.1     1.9     1.9 1
-1912  4  7     0.2     0.0     0.0 1
-1912  4  8     0.1    -0.1    -0.1 1
-1912  4  9    -4.4    -4.6    -4.6 1
-1912  4 10    -6.2    -6.4    -6.4 1
-1912  4 11    -5.2    -5.4    -5.4 1
-1912  4 12    -3.2    -3.4    -3.4 1
-1912  4 13     0.8     0.6     0.6 1
-1912  4 14     0.8     0.6     0.6 1
-1912  4 15     6.0     5.8     5.8 1
-1912  4 16     8.3     8.1     8.1 1
-1912  4 17     6.2     6.0     6.0 1
-1912  4 18     8.6     8.4     8.4 1
-1912  4 19     9.8     9.6     9.6 1
-1912  4 20     8.7     8.5     8.5 1
-1912  4 21     8.4     8.2     8.2 1
-1912  4 22     9.5     9.2     9.2 1
-1912  4 23    11.7    11.4    11.4 1
-1912  4 24     9.0     8.7     8.7 1
-1912  4 25     8.4     8.1     8.1 1
-1912  4 26     7.2     6.9     6.9 1
-1912  4 27     3.6     3.3     3.3 1
-1912  4 28     3.0     2.7     2.7 1
-1912  4 29    -0.3    -0.6    -0.6 1
-1912  4 30     3.2     2.9     2.9 1
-1912  5  1     5.1     4.8     4.8 1
-1912  5  2     5.6     5.2     5.2 1
-1912  5  3     5.0     4.6     4.6 1
-1912  5  4     1.4     1.0     1.0 1
-1912  5  5     1.5     1.1     1.1 1
-1912  5  6     4.1     3.7     3.7 1
-1912  5  7     4.3     3.9     3.9 1
-1912  5  8     4.9     4.5     4.5 1
-1912  5  9     7.6     7.2     7.2 1
-1912  5 10     6.2     5.8     5.8 1
-1912  5 11     6.4     6.0     6.0 1
-1912  5 12     8.7     8.2     8.2 1
-1912  5 13     5.7     5.2     5.2 1
-1912  5 14     7.7     7.2     7.2 1
-1912  5 15     8.7     8.2     8.2 1
-1912  5 16    10.7    10.2    10.2 1
-1912  5 17     8.3     7.8     7.8 1
-1912  5 18     6.1     5.6     5.6 1
-1912  5 19    10.1     9.6     9.6 1
-1912  5 20    11.1    10.6    10.6 1
-1912  5 21    11.3    10.8    10.8 1
-1912  5 22    10.8    10.3    10.3 1
-1912  5 23     8.9     8.4     8.4 1
-1912  5 24    12.1    11.6    11.6 1
-1912  5 25    11.8    11.4    11.4 1
-1912  5 26     8.3     7.9     7.9 1
-1912  5 27     8.3     7.9     7.9 1
-1912  5 28    10.7    10.3    10.3 1
-1912  5 29     8.9     8.5     8.5 1
-1912  5 30     7.8     7.4     7.4 1
-1912  5 31     7.2     6.8     6.8 1
-1912  6  1     8.9     8.5     8.5 1
-1912  6  2    10.1     9.7     9.7 1
-1912  6  3    10.3     9.9     9.9 1
-1912  6  4     9.4     9.0     9.0 1
-1912  6  5    10.5    10.1    10.1 1
-1912  6  6     9.5     9.1     9.1 1
-1912  6  7    14.1    13.7    13.7 1
-1912  6  8    15.1    14.7    14.7 1
-1912  6  9    15.9    15.5    15.5 1
-1912  6 10    14.1    13.7    13.7 1
-1912  6 11    15.8    15.4    15.4 1
-1912  6 12    16.5    16.1    16.1 1
-1912  6 13    16.9    16.5    16.5 1
-1912  6 14    12.7    12.3    12.3 1
-1912  6 15    11.6    11.2    11.2 1
-1912  6 16    10.5    10.1    10.1 1
-1912  6 17    11.5    11.1    11.1 1
-1912  6 18    12.0    11.6    11.6 1
-1912  6 19    13.1    12.7    12.7 1
-1912  6 20    13.3    12.9    12.9 1
-1912  6 21    11.8    11.4    11.4 1
-1912  6 22    14.8    14.4    14.4 1
-1912  6 23    16.7    16.3    16.3 1
-1912  6 24    16.9    16.5    16.5 1
-1912  6 25    16.6    16.2    16.2 1
-1912  6 26    18.0    17.6    17.6 1
-1912  6 27    18.9    18.5    18.5 1
-1912  6 28    16.5    16.1    16.1 1
-1912  6 29    19.8    19.4    19.4 1
-1912  6 30    21.5    21.1    21.1 1
-1912  7  1    15.7    15.3    15.3 1
-1912  7  2    12.1    11.7    11.7 1
-1912  7  3    12.9    12.5    12.5 1
-1912  7  4    15.2    14.8    14.8 1
-1912  7  5    18.5    18.1    18.1 1
-1912  7  6    17.4    17.0    17.0 1
-1912  7  7    21.3    20.9    20.9 1
-1912  7  8    19.8    19.4    19.4 1
-1912  7  9    18.7    18.3    18.3 1
-1912  7 10    16.9    16.5    16.5 1
-1912  7 11    18.4    18.0    18.0 1
-1912  7 12    20.0    19.6    19.6 1
-1912  7 13    20.6    20.2    20.2 1
-1912  7 14    20.6    20.2    20.2 1
-1912  7 15    21.1    20.7    20.7 1
-1912  7 16    22.1    21.8    21.8 1
-1912  7 17    16.0    15.7    15.7 1
-1912  7 18    17.8    17.5    17.5 1
-1912  7 19    19.2    18.9    18.9 1
-1912  7 20    18.5    18.2    18.2 1
-1912  7 21    18.2    17.9    17.9 1
-1912  7 22    17.6    17.3    17.3 1
-1912  7 23    17.3    17.0    17.0 1
-1912  7 24    19.8    19.5    19.5 1
-1912  7 25    20.7    20.4    20.4 1
-1912  7 26    20.4    20.1    20.1 1
-1912  7 27    19.9    19.6    19.6 1
-1912  7 28    20.9    20.7    20.7 1
-1912  7 29    18.6    18.4    18.4 1
-1912  7 30    18.5    18.3    18.3 1
-1912  7 31    16.0    15.8    15.8 1
-1912  8  1    18.4    18.2    18.2 1
-1912  8  2    18.2    18.0    18.0 1
-1912  8  3    15.5    15.3    15.3 1
-1912  8  4    16.2    16.0    16.0 1
-1912  8  5    17.5    17.3    17.3 1
-1912  8  6    18.7    18.5    18.5 1
-1912  8  7    18.3    18.1    18.1 1
-1912  8  8    19.1    18.9    18.9 1
-1912  8  9    21.3    21.1    21.1 1
-1912  8 10    21.5    21.4    21.4 1
-1912  8 11    19.6    19.5    19.5 1
-1912  8 12    17.7    17.6    17.6 1
-1912  8 13    15.1    15.0    15.0 1
-1912  8 14    14.5    14.4    14.4 1
-1912  8 15    14.3    14.2    14.2 1
-1912  8 16    14.4    14.3    14.3 1
-1912  8 17    13.8    13.7    13.7 1
-1912  8 18    15.5    15.4    15.4 1
-1912  8 19    16.9    16.8    16.8 1
-1912  8 20    17.3    17.2    17.2 1
-1912  8 21    16.4    16.3    16.3 1
-1912  8 22    14.8    14.7    14.7 1
-1912  8 23    13.8    13.8    13.8 1
-1912  8 24    13.6    13.6    13.6 1
-1912  8 25    13.5    13.5    13.5 1
-1912  8 26    13.0    13.0    13.0 1
-1912  8 27    12.4    12.4    12.4 1
-1912  8 28    11.8    11.8    11.8 1
-1912  8 29    11.8    11.8    11.8 1
-1912  8 30    13.3    13.3    13.3 1
-1912  8 31    14.2    14.2    14.2 1
-1912  9  1    12.1    12.1    12.1 1
-1912  9  2    11.4    11.4    11.4 1
-1912  9  3    10.6    10.6    10.6 1
-1912  9  4    11.4    11.4    11.4 1
-1912  9  5    11.9    12.0    12.0 1
-1912  9  6    11.4    11.5    11.5 1
-1912  9  7    11.6    11.7    11.7 1
-1912  9  8    11.6    11.7    11.7 1
-1912  9  9    10.9    11.0    11.0 1
-1912  9 10     9.0     9.1     9.1 1
-1912  9 11    10.4    10.5    10.5 1
-1912  9 12     9.4     9.5     9.5 1
-1912  9 13    11.5    11.6    11.6 1
-1912  9 14    10.0    10.1    10.1 1
-1912  9 15     8.1     8.2     8.2 1
-1912  9 16     7.9     8.0     8.0 1
-1912  9 17     8.5     8.6     8.6 1
-1912  9 18     7.4     7.5     7.5 1
-1912  9 19     5.7     5.8     5.8 1
-1912  9 20     8.1     8.2     8.2 1
-1912  9 21    10.9    11.0    11.0 1
-1912  9 22    11.0    11.1    11.1 1
-1912  9 23     5.5     5.6     5.6 1
-1912  9 24     4.0     4.1     4.1 1
-1912  9 25     4.3     4.4     4.4 1
-1912  9 26     7.6     7.7     7.7 1
-1912  9 27     7.8     7.9     7.9 1
-1912  9 28     6.8     6.9     6.9 1
-1912  9 29     6.8     6.9     6.9 1
-1912  9 30     7.3     7.4     7.4 1
-1912 10  1     6.9     7.0     7.0 1
-1912 10  2     1.5     1.6     1.6 1
-1912 10  3    -1.4    -1.3    -1.3 1
-1912 10  4     2.3     2.4     2.4 1
-1912 10  5     7.1     7.2     7.2 1
-1912 10  6     8.1     8.2     8.2 1
-1912 10  7     7.3     7.4     7.4 1
-1912 10  8     8.9     9.0     9.0 1
-1912 10  9     5.4     5.5     5.5 1
-1912 10 10     5.8     5.9     5.9 1
-1912 10 11     5.9     6.0     6.0 1
-1912 10 12     4.9     5.0     5.0 1
-1912 10 13     5.4     5.5     5.5 1
-1912 10 14     4.1     4.2     4.2 1
-1912 10 15     5.4     5.5     5.5 1
-1912 10 16     5.6     5.7     5.7 1
-1912 10 17     7.2     7.3     7.3 1
-1912 10 18     6.7     6.8     6.8 1
-1912 10 19     6.5     6.6     6.6 1
-1912 10 20     5.3     5.4     5.4 1
-1912 10 21     4.3     4.4     4.4 1
-1912 10 22     4.1     4.2     4.2 1
-1912 10 23     5.8     5.9     5.9 1
-1912 10 24     3.6     3.7     3.7 1
-1912 10 25     1.9     2.0     2.0 1
-1912 10 26     1.7     1.7     1.7 1
-1912 10 27     1.4     1.4     1.4 1
-1912 10 28     4.9     4.9     4.9 1
-1912 10 29     3.3     3.3     3.3 1
-1912 10 30     1.7     1.7     1.7 1
-1912 10 31     6.7     6.7     6.7 1
-1912 11  1    -2.2    -2.2    -2.2 1
-1912 11  2    -1.3    -1.3    -1.3 1
-1912 11  3    -2.7    -2.7    -2.7 1
-1912 11  4    -2.3    -2.3    -2.3 1
-1912 11  5    -3.4    -3.4    -3.4 1
-1912 11  6    -1.9    -1.9    -1.9 1
-1912 11  7     0.5     0.5     0.5 1
-1912 11  8     2.0     2.0     2.0 1
-1912 11  9     0.3     0.3     0.3 1
-1912 11 10     2.2     2.2     2.2 1
-1912 11 11     3.9     3.9     3.9 1
-1912 11 12     4.1     4.0     4.0 1
-1912 11 13     2.9     2.8     2.8 1
-1912 11 14     0.1     0.0     0.0 1
-1912 11 15    -1.4    -1.5    -1.5 1
-1912 11 16    -1.5    -1.6    -1.6 1
-1912 11 17    -0.5    -0.6    -0.6 1
-1912 11 18     2.2     2.1     2.1 1
-1912 11 19     2.2     2.1     2.1 1
-1912 11 20     1.7     1.6     1.6 1
-1912 11 21     0.0    -0.1    -0.1 1
-1912 11 22     2.5     2.4     2.4 1
-1912 11 23     7.5     7.4     7.4 1
-1912 11 24     5.5     5.4     5.4 1
-1912 11 25     5.7     5.6     5.6 1
-1912 11 26     3.7     3.6     3.6 1
-1912 11 27     5.0     4.9     4.9 1
-1912 11 28     2.7     2.6     2.6 1
-1912 11 29    -1.0    -1.1    -1.1 1
-1912 11 30     1.0     0.9     0.9 1
-1912 12  1     2.0     1.9     1.9 1
-1912 12  2     1.0     0.9     0.9 1
-1912 12  3     0.0    -0.1    -0.1 1
-1912 12  4    -0.5    -0.6    -0.6 1
-1912 12  5     5.6     5.5     5.5 1
-1912 12  6     3.8     3.7     3.7 1
-1912 12  7     1.1     1.0     1.0 1
-1912 12  8     2.9     2.8     2.8 1
-1912 12  9     0.9     0.8     0.8 1
-1912 12 10    -0.3    -0.4    -0.4 1
-1912 12 11    -0.5    -0.6    -0.6 1
-1912 12 12     0.9     0.8     0.8 1
-1912 12 13     2.2     2.1     2.1 1
-1912 12 14     4.0     3.9     3.9 1
-1912 12 15     2.1     2.0     2.0 1
-1912 12 16    -0.7    -0.8    -0.8 1
-1912 12 17     0.4     0.3     0.3 1
-1912 12 18     1.1     1.0     1.0 1
-1912 12 19    -0.1    -0.2    -0.2 1
-1912 12 20     4.6     4.5     4.5 1
-1912 12 21     7.6     7.5     7.5 1
-1912 12 22     4.8     4.7     4.7 1
-1912 12 23     3.5     3.4     3.4 1
-1912 12 24     2.1     1.9     1.9 1
-1912 12 25     4.0     3.8     3.8 1
-1912 12 26     3.2     3.0     3.0 1
-1912 12 27     0.5     0.3     0.3 1
-1912 12 28    -0.2    -0.4    -0.4 1
-1912 12 29     1.5     1.3     1.3 1
-1912 12 30     1.5     1.3     1.3 1
-1912 12 31     0.7     0.5     0.5 1
-1913  1  1     5.2     5.0     5.0 1
-1913  1  2     2.3     2.1     2.1 1
-1913  1  3    -1.7    -2.0    -2.0 1
-1913  1  4     1.0     0.7     0.7 1
-1913  1  5     2.0     1.7     1.7 1
-1913  1  6     2.7     2.4     2.4 1
-1913  1  7     1.7     1.4     1.4 1
-1913  1  8     3.1     2.8     2.8 1
-1913  1  9     2.4     2.1     2.1 1
-1913  1 10    -0.8    -1.1    -1.1 1
-1913  1 11    -1.6    -1.9    -1.9 1
-1913  1 12    -1.7    -2.0    -2.0 1
-1913  1 13    -3.2    -3.6    -3.6 1
-1913  1 14    -2.2    -2.6    -2.6 1
-1913  1 15    -2.6    -3.0    -3.0 1
-1913  1 16    -3.9    -4.3    -4.3 1
-1913  1 17    -1.1    -1.5    -1.5 1
-1913  1 18    -2.3    -2.7    -2.7 1
-1913  1 19    -4.4    -4.8    -4.8 1
-1913  1 20    -6.6    -6.9    -6.9 1
-1913  1 21    -4.4    -4.7    -4.7 1
-1913  1 22    -9.1    -9.4    -9.4 1
-1913  1 23   -12.0   -12.3   -12.3 1
-1913  1 24    -5.8    -6.1    -6.1 1
-1913  1 25    -5.1    -5.4    -5.4 1
-1913  1 26    -5.8    -6.1    -6.1 1
-1913  1 27    -8.9    -9.2    -9.2 1
-1913  1 28    -8.6    -8.9    -8.9 1
-1913  1 29    -9.3    -9.6    -9.6 1
-1913  1 30    -6.3    -6.6    -6.6 1
-1913  1 31    -1.4    -1.7    -1.7 1
-1913  2  1     0.3     0.0     0.0 1
-1913  2  2     0.0    -0.3    -0.3 1
-1913  2  3    -0.6    -0.9    -0.9 1
-1913  2  4     3.3     3.0     3.0 1
-1913  2  5     2.1     1.8     1.8 1
-1913  2  6     1.5     1.2     1.2 1
-1913  2  7     1.1     0.8     0.8 1
-1913  2  8     3.1     2.8     2.8 1
-1913  2  9     2.5     2.2     2.2 1
-1913  2 10     1.5     1.2     1.2 1
-1913  2 11     1.0     0.8     0.8 1
-1913  2 12     0.4     0.2     0.2 1
-1913  2 13     0.7     0.5     0.5 1
-1913  2 14     1.3     1.1     1.1 1
-1913  2 15    -0.5    -0.7    -0.7 1
-1913  2 16    -1.4    -1.6    -1.6 1
-1913  2 17    -0.1    -0.3    -0.3 1
-1913  2 18    -3.4    -3.6    -3.6 1
-1913  2 19    -1.7    -1.9    -1.9 1
-1913  2 20    -0.1    -0.3    -0.3 1
-1913  2 21    -5.3    -5.6    -5.6 1
-1913  2 22    -4.3    -4.6    -4.6 1
-1913  2 23    -2.9    -3.2    -3.2 1
-1913  2 24     1.0     0.7     0.7 1
-1913  2 25    -0.7    -1.0    -1.0 1
-1913  2 26     2.9     2.6     2.6 1
-1913  2 27    -1.0    -1.3    -1.3 1
-1913  2 28    -6.1    -6.4    -6.4 1
-1913  3  1    -8.2    -8.5    -8.5 1
-1913  3  2    -5.0    -5.3    -5.3 1
-1913  3  3    -0.1    -0.4    -0.4 1
-1913  3  4     2.5     2.2     2.2 1
-1913  3  5     4.6     4.3     4.3 1
-1913  3  6     4.9     4.6     4.6 1
-1913  3  7     3.4     3.1     3.1 1
-1913  3  8     0.6     0.3     0.3 1
-1913  3  9     0.6     0.3     0.3 1
-1913  3 10     4.7     4.4     4.4 1
-1913  3 11     2.7     2.4     2.4 1
-1913  3 12     2.9     2.6     2.6 1
-1913  3 13     1.7     1.4     1.4 1
-1913  3 14     2.5     2.2     2.2 1
-1913  3 15     3.0     2.7     2.7 1
-1913  3 16     1.8     1.5     1.5 1
-1913  3 17     1.2     0.9     0.9 1
-1913  3 18     0.6     0.3     0.3 1
-1913  3 19     0.8     0.5     0.5 1
-1913  3 20     1.9     1.6     1.6 1
-1913  3 21     3.0     2.7     2.7 1
-1913  3 22     2.5     2.2     2.2 1
-1913  3 23     2.9     2.6     2.6 1
-1913  3 24     4.6     4.3     4.3 1
-1913  3 25     1.9     1.6     1.6 1
-1913  3 26     5.6     5.3     5.3 1
-1913  3 27     4.3     4.0     4.0 1
-1913  3 28     1.8     1.5     1.5 1
-1913  3 29     1.8     1.5     1.5 1
-1913  3 30     3.3     3.0     3.0 1
-1913  3 31     5.0     4.7     4.7 1
-1913  4  1     5.8     5.6     5.6 1
-1913  4  2     7.6     7.4     7.4 1
-1913  4  3     6.8     6.6     6.6 1
-1913  4  4     6.7     6.5     6.5 1
-1913  4  5     5.4     5.2     5.2 1
-1913  4  6     4.1     3.9     3.9 1
-1913  4  7     1.0     0.8     0.8 1
-1913  4  8     2.9     2.7     2.7 1
-1913  4  9     3.9     3.7     3.7 1
-1913  4 10     1.3     1.1     1.1 1
-1913  4 11    -3.3    -3.5    -3.5 1
-1913  4 12    -3.0    -3.2    -3.2 1
-1913  4 13    -1.8    -2.0    -2.0 1
-1913  4 14     1.2     1.0     1.0 1
-1913  4 15     3.1     2.9     2.9 1
-1913  4 16     4.1     3.9     3.9 1
-1913  4 17     2.3     2.1     2.1 1
-1913  4 18     3.8     3.6     3.6 1
-1913  4 19     7.7     7.5     7.5 1
-1913  4 20     5.7     5.5     5.5 1
-1913  4 21     6.1     5.9     5.9 1
-1913  4 22     6.8     6.5     6.5 1
-1913  4 23     8.7     8.4     8.4 1
-1913  4 24     6.0     5.7     5.7 1
-1913  4 25     4.0     3.7     3.7 1
-1913  4 26     7.9     7.6     7.6 1
-1913  4 27    10.0     9.7     9.7 1
-1913  4 28     9.3     9.0     9.0 1
-1913  4 29    15.1    14.8    14.8 1
-1913  4 30     8.2     7.9     7.9 1
-1913  5  1    10.0     9.7     9.7 1
-1913  5  2     6.4     6.0     6.0 1
-1913  5  3    10.0     9.6     9.6 1
-1913  5  4     5.0     4.6     4.6 1
-1913  5  5     2.4     2.0     2.0 1
-1913  5  6     5.8     5.4     5.4 1
-1913  5  7     6.7     6.3     6.3 1
-1913  5  8     8.4     8.0     8.0 1
-1913  5  9     9.7     9.3     9.3 1
-1913  5 10     9.4     9.0     9.0 1
-1913  5 11    11.2    10.8    10.8 1
-1913  5 12     8.6     8.1     8.1 1
-1913  5 13     6.1     5.6     5.6 1
-1913  5 14     6.5     6.0     6.0 1
-1913  5 15    10.7    10.2    10.2 1
-1913  5 16     8.8     8.3     8.3 1
-1913  5 17    13.5    13.0    13.0 1
-1913  5 18    14.5    14.0    14.0 1
-1913  5 19    10.5    10.0    10.0 1
-1913  5 20     9.7     9.2     9.2 1
-1913  5 21    11.6    11.1    11.1 1
-1913  5 22    13.1    12.6    12.6 1
-1913  5 23    12.5    12.0    12.0 1
-1913  5 24    11.9    11.4    11.4 1
-1913  5 25    12.9    12.5    12.5 1
-1913  5 26    13.2    12.8    12.8 1
-1913  5 27    12.0    11.6    11.6 1
-1913  5 28    10.8    10.4    10.4 1
-1913  5 29    12.3    11.9    11.9 1
-1913  5 30    11.5    11.1    11.1 1
-1913  5 31    13.9    13.5    13.5 1
-1913  6  1    18.9    18.5    18.5 1
-1913  6  2    14.1    13.7    13.7 1
-1913  6  3    16.4    16.0    16.0 1
-1913  6  4    15.6    15.2    15.2 1
-1913  6  5    16.0    15.6    15.6 1
-1913  6  6    18.8    18.4    18.4 1
-1913  6  7    16.6    16.2    16.2 1
-1913  6  8    14.6    14.2    14.2 1
-1913  6  9    12.4    12.0    12.0 1
-1913  6 10    11.0    10.6    10.6 1
-1913  6 11     9.3     8.9     8.9 1
-1913  6 12     9.5     9.1     9.1 1
-1913  6 13     9.9     9.5     9.5 1
-1913  6 14    10.6    10.2    10.2 1
-1913  6 15    13.5    13.1    13.1 1
-1913  6 16    15.3    14.9    14.9 1
-1913  6 17    17.0    16.6    16.6 1
-1913  6 18    12.0    11.6    11.6 1
-1913  6 19     8.8     8.4     8.4 1
-1913  6 20    12.4    12.0    12.0 1
-1913  6 21    13.7    13.3    13.3 1
-1913  6 22    14.2    13.8    13.8 1
-1913  6 23    14.7    14.3    14.3 1
-1913  6 24    16.7    16.3    16.3 1
-1913  6 25    18.4    18.0    18.0 1
-1913  6 26    15.0    14.6    14.6 1
-1913  6 27    12.1    11.7    11.7 1
-1913  6 28    11.8    11.4    11.4 1
-1913  6 29    12.9    12.5    12.5 1
-1913  6 30    13.0    12.6    12.6 1
-1913  7  1    14.4    14.0    14.0 1
-1913  7  2    11.6    11.2    11.2 1
-1913  7  3    16.8    16.4    16.4 1
-1913  7  4    18.9    18.5    18.5 1
-1913  7  5    13.0    12.6    12.6 1
-1913  7  6    12.9    12.5    12.5 1
-1913  7  7    13.7    13.3    13.3 1
-1913  7  8    13.5    13.1    13.1 1
-1913  7  9    13.9    13.5    13.5 1
-1913  7 10    14.2    13.8    13.8 1
-1913  7 11    16.9    16.5    16.5 1
-1913  7 12    18.5    18.1    18.1 1
-1913  7 13    21.3    20.9    20.9 1
-1913  7 14    17.8    17.4    17.4 1
-1913  7 15    17.9    17.5    17.5 1
-1913  7 16    19.9    19.6    19.6 1
-1913  7 17    17.1    16.8    16.8 1
-1913  7 18    18.6    18.3    18.3 1
-1913  7 19    18.9    18.6    18.6 1
-1913  7 20    17.1    16.8    16.8 1
-1913  7 21    15.4    15.1    15.1 1
-1913  7 22    16.7    16.4    16.4 1
-1913  7 23    17.9    17.6    17.6 1
-1913  7 24    18.4    18.1    18.1 1
-1913  7 25    16.4    16.1    16.1 1
-1913  7 26    16.9    16.6    16.6 1
-1913  7 27    16.6    16.3    16.3 1
-1913  7 28    14.8    14.6    14.6 1
-1913  7 29    14.2    14.0    14.0 1
-1913  7 30    15.4    15.2    15.2 1
-1913  7 31    17.9    17.7    17.7 1
-1913  8  1    18.1    17.9    17.9 1
-1913  8  2    17.6    17.4    17.4 1
-1913  8  3    20.6    20.4    20.4 1
-1913  8  4    14.7    14.5    14.5 1
-1913  8  5    10.4    10.2    10.2 1
-1913  8  6    12.6    12.4    12.4 1
-1913  8  7    13.1    12.9    12.9 1
-1913  8  8    12.8    12.6    12.6 1
-1913  8  9    13.6    13.4    13.4 1
-1913  8 10    14.4    14.3    14.3 1
-1913  8 11    14.9    14.8    14.8 1
-1913  8 12    15.2    15.1    15.1 1
-1913  8 13    13.1    13.0    13.0 1
-1913  8 14    14.2    14.1    14.1 1
-1913  8 15    15.6    15.5    15.5 1
-1913  8 16    15.0    14.9    14.9 1
-1913  8 17    15.2    15.1    15.1 1
-1913  8 18    16.2    16.1    16.1 1
-1913  8 19    15.7    15.6    15.6 1
-1913  8 20    15.0    14.9    14.9 1
-1913  8 21    14.9    14.8    14.8 1
-1913  8 22    14.8    14.7    14.7 1
-1913  8 23    15.6    15.6    15.6 1
-1913  8 24    17.7    17.7    17.7 1
-1913  8 25    15.3    15.3    15.3 1
-1913  8 26    16.0    16.0    16.0 1
-1913  8 27    16.3    16.3    16.3 1
-1913  8 28    16.2    16.2    16.2 1
-1913  8 29    15.7    15.7    15.7 1
-1913  8 30    16.4    16.4    16.4 1
-1913  8 31    16.8    16.8    16.8 1
-1913  9  1    17.4    17.4    17.4 1
-1913  9  2    11.5    11.5    11.5 1
-1913  9  3    11.7    11.7    11.7 1
-1913  9  4    11.6    11.6    11.6 1
-1913  9  5    11.5    11.6    11.6 1
-1913  9  6    11.5    11.6    11.6 1
-1913  9  7    12.2    12.3    12.3 1
-1913  9  8    13.1    13.2    13.2 1
-1913  9  9    11.4    11.5    11.5 1
-1913  9 10     9.5     9.6     9.6 1
-1913  9 11    10.8    10.9    10.9 1
-1913  9 12    12.9    13.0    13.0 1
-1913  9 13    14.6    14.7    14.7 1
-1913  9 14    14.9    15.0    15.0 1
-1913  9 15    13.7    13.8    13.8 1
-1913  9 16    14.5    14.6    14.6 1
-1913  9 17    13.5    13.6    13.6 1
-1913  9 18    12.8    12.9    12.9 1
-1913  9 19    12.4    12.5    12.5 1
-1913  9 20    13.0    13.1    13.1 1
-1913  9 21     7.6     7.7     7.7 1
-1913  9 22     7.0     7.1     7.1 1
-1913  9 23     7.6     7.7     7.7 1
-1913  9 24     7.6     7.7     7.7 1
-1913  9 25     8.4     8.5     8.5 1
-1913  9 26     9.3     9.4     9.4 1
-1913  9 27    10.1    10.2    10.2 1
-1913  9 28    11.4    11.5    11.5 1
-1913  9 29    11.4    11.5    11.5 1
-1913  9 30     9.0     9.1     9.1 1
-1913 10  1     9.2     9.3     9.3 1
-1913 10  2    10.5    10.6    10.6 1
-1913 10  3     9.0     9.1     9.1 1
-1913 10  4     8.7     8.8     8.8 1
-1913 10  5     2.7     2.8     2.8 1
-1913 10  6     2.0     2.1     2.1 1
-1913 10  7     5.2     5.3     5.3 1
-1913 10  8     4.2     4.3     4.3 1
-1913 10  9     3.7     3.8     3.8 1
-1913 10 10     2.3     2.4     2.4 1
-1913 10 11     3.3     3.4     3.4 1
-1913 10 12     3.4     3.5     3.5 1
-1913 10 13     3.9     4.0     4.0 1
-1913 10 14     7.4     7.5     7.5 1
-1913 10 15     6.3     6.4     6.4 1
-1913 10 16     3.7     3.8     3.8 1
-1913 10 17    10.6    10.7    10.7 1
-1913 10 18    12.0    12.1    12.1 1
-1913 10 19     9.6     9.7     9.7 1
-1913 10 20    10.5    10.6    10.6 1
-1913 10 21     9.2     9.3     9.3 1
-1913 10 22    10.7    10.8    10.8 1
-1913 10 23     7.8     7.9     7.9 1
-1913 10 24     2.9     3.0     3.0 1
-1913 10 25     5.8     5.9     5.9 1
-1913 10 26     4.3     4.3     4.3 1
-1913 10 27     9.4     9.4     9.4 1
-1913 10 28    10.1    10.1    10.1 1
-1913 10 29     9.2     9.2     9.2 1
-1913 10 30     8.5     8.5     8.5 1
-1913 10 31     7.9     7.9     7.9 1
-1913 11  1     8.2     8.2     8.2 1
-1913 11  2     6.4     6.4     6.4 1
-1913 11  3     8.3     8.3     8.3 1
-1913 11  4     7.5     7.5     7.5 1
-1913 11  5     4.7     4.7     4.7 1
-1913 11  6     3.4     3.4     3.4 1
-1913 11  7     6.3     6.3     6.3 1
-1913 11  8     3.9     3.9     3.9 1
-1913 11  9     2.6     2.6     2.6 1
-1913 11 10     0.5     0.5     0.5 1
-1913 11 11     2.9     2.9     2.9 1
-1913 11 12     6.9     6.8     6.8 1
-1913 11 13     7.8     7.7     7.7 1
-1913 11 14     5.0     4.9     4.9 1
-1913 11 15     4.6     4.5     4.5 1
-1913 11 16     5.0     4.9     4.9 1
-1913 11 17     4.4     4.3     4.3 1
-1913 11 18     5.8     5.7     5.7 1
-1913 11 19     3.7     3.6     3.6 1
-1913 11 20     4.3     4.2     4.2 1
-1913 11 21     7.3     7.2     7.2 1
-1913 11 22     4.8     4.7     4.7 1
-1913 11 23     1.6     1.5     1.5 1
-1913 11 24     0.8     0.7     0.7 1
-1913 11 25     4.4     4.3     4.3 1
-1913 11 26     4.9     4.8     4.8 1
-1913 11 27     0.6     0.5     0.5 1
-1913 11 28     3.1     3.0     3.0 1
-1913 11 29     3.9     3.8     3.8 1
-1913 11 30     5.8     5.7     5.7 1
-1913 12  1     3.2     3.1     3.1 1
-1913 12  2    -1.8    -1.9    -1.9 1
-1913 12  3     3.3     3.2     3.2 1
-1913 12  4     6.4     6.3     6.3 1
-1913 12  5     1.5     1.4     1.4 1
-1913 12  6    -2.6    -2.7    -2.7 1
-1913 12  7    -4.4    -4.5    -4.5 1
-1913 12  8    -3.1    -3.2    -3.2 1
-1913 12  9     2.6     2.5     2.5 1
-1913 12 10     0.2     0.1     0.1 1
-1913 12 11    -1.3    -1.4    -1.4 1
-1913 12 12     1.6     1.5     1.5 1
-1913 12 13     2.7     2.6     2.6 1
-1913 12 14    -2.5    -2.6    -2.6 1
-1913 12 15    -4.0    -4.1    -4.1 1
-1913 12 16    -5.4    -5.5    -5.5 1
-1913 12 17    -2.5    -2.6    -2.6 1
-1913 12 18    -1.7    -1.8    -1.8 1
-1913 12 19    -2.5    -2.6    -2.6 1
-1913 12 20    -1.1    -1.2    -1.2 1
-1913 12 21     0.0    -0.1    -0.1 1
-1913 12 22    -2.9    -3.0    -3.0 1
-1913 12 23    -6.1    -6.2    -6.2 1
-1913 12 24    -1.3    -1.5    -1.5 1
-1913 12 25    -5.0    -5.2    -5.2 1
-1913 12 26    -4.0    -4.2    -4.2 1
-1913 12 27    -3.7    -3.9    -3.9 1
-1913 12 28    -4.8    -5.0    -5.0 1
-1913 12 29    -7.4    -7.6    -7.6 1
-1913 12 30    -7.0    -7.2    -7.2 1
-1913 12 31    -6.1    -6.3    -6.3 1
-1914  1  1    -0.5    -0.7    -0.7 1
-1914  1  2     1.6     1.4     1.4 1
-1914  1  3    -4.3    -4.6    -4.6 1
-1914  1  4    -2.1    -2.4    -2.4 1
-1914  1  5     0.0    -0.3    -0.3 1
-1914  1  6    -7.0    -7.3    -7.3 1
-1914  1  7    -9.9   -10.2   -10.2 1
-1914  1  8    -5.4    -5.7    -5.7 1
-1914  1  9    -7.6    -7.9    -7.9 1
-1914  1 10    -9.5    -9.8    -9.8 1
-1914  1 11   -11.8   -12.1   -12.1 1
-1914  1 12   -10.4   -10.7   -10.7 1
-1914  1 13   -12.3   -12.7   -12.7 1
-1914  1 14    -4.3    -4.7    -4.7 1
-1914  1 15    -0.2    -0.6    -0.6 1
-1914  1 16     0.1    -0.3    -0.3 1
-1914  1 17     0.0    -0.4    -0.4 1
-1914  1 18    -1.8    -2.2    -2.2 1
-1914  1 19    -4.7    -5.1    -5.1 1
-1914  1 20    -9.5    -9.8    -9.8 1
-1914  1 21    -4.9    -5.2    -5.2 1
-1914  1 22    -3.8    -4.1    -4.1 1
-1914  1 23    -4.0    -4.3    -4.3 1
-1914  1 24    -1.2    -1.5    -1.5 1
-1914  1 25     4.0     3.7     3.7 1
-1914  1 26     4.0     3.7     3.7 1
-1914  1 27    -0.5    -0.8    -0.8 1
-1914  1 28    -1.6    -1.9    -1.9 1
-1914  1 29     1.9     1.6     1.6 1
-1914  1 30     0.9     0.6     0.6 1
-1914  1 31     3.2     2.9     2.9 1
-1914  2  1     4.9     4.6     4.6 1
-1914  2  2     7.7     7.4     7.4 1
-1914  2  3     5.9     5.6     5.6 1
-1914  2  4     2.8     2.5     2.5 1
-1914  2  5     4.9     4.6     4.6 1
-1914  2  6     4.0     3.7     3.7 1
-1914  2  7     1.5     1.2     1.2 1
-1914  2  8     3.8     3.5     3.5 1
-1914  2  9     6.1     5.8     5.8 1
-1914  2 10     3.9     3.6     3.6 1
-1914  2 11     5.0     4.8     4.8 1
-1914  2 12     3.2     3.0     3.0 1
-1914  2 13     2.2     2.0     2.0 1
-1914  2 14     2.8     2.6     2.6 1
-1914  2 15     5.5     5.3     5.3 1
-1914  2 16     5.4     5.2     5.2 1
-1914  2 17     3.0     2.8     2.8 1
-1914  2 18     1.2     1.0     1.0 1
-1914  2 19    -0.5    -0.7    -0.7 1
-1914  2 20    -5.2    -5.4    -5.4 1
-1914  2 21    -5.0    -5.3    -5.3 1
-1914  2 22    -2.9    -3.2    -3.2 1
-1914  2 23    -2.9    -3.2    -3.2 1
-1914  2 24    -1.7    -2.0    -2.0 1
-1914  2 25    -1.3    -1.6    -1.6 1
-1914  2 26    -1.4    -1.7    -1.7 1
-1914  2 27    -2.7    -3.0    -3.0 1
-1914  2 28    -3.0    -3.3    -3.3 1
-1914  3  1     2.5     2.2     2.2 1
-1914  3  2     3.5     3.2     3.2 1
-1914  3  3     0.8     0.5     0.5 1
-1914  3  4     1.0     0.7     0.7 1
-1914  3  5     0.0    -0.3    -0.3 1
-1914  3  6     0.0    -0.3    -0.3 1
-1914  3  7    -1.8    -2.1    -2.1 1
-1914  3  8    -3.3    -3.6    -3.6 1
-1914  3  9    -3.9    -4.2    -4.2 1
-1914  3 10    -3.9    -4.2    -4.2 1
-1914  3 11    -5.2    -5.5    -5.5 1
-1914  3 12    -7.5    -7.8    -7.8 1
-1914  3 13    -4.8    -5.1    -5.1 1
-1914  3 14    -1.6    -1.9    -1.9 1
-1914  3 15     1.9     1.6     1.6 1
-1914  3 16     2.7     2.4     2.4 1
-1914  3 17     0.4     0.1     0.1 1
-1914  3 18    -1.7    -2.0    -2.0 1
-1914  3 19    -0.3    -0.6    -0.6 1
-1914  3 20     1.9     1.6     1.6 1
-1914  3 21     2.1     1.8     1.8 1
-1914  3 22     1.6     1.3     1.3 1
-1914  3 23     1.5     1.2     1.2 1
-1914  3 24     0.7     0.4     0.4 1
-1914  3 25     0.0    -0.3    -0.3 1
-1914  3 26    -1.1    -1.4    -1.4 1
-1914  3 27    -0.9    -1.2    -1.2 1
-1914  3 28    -1.4    -1.7    -1.7 1
-1914  3 29    -0.3    -0.6    -0.6 1
-1914  3 30     2.2     1.9     1.9 1
-1914  3 31     2.9     2.6     2.6 1
-1914  4  1     1.2     1.0     1.0 1
-1914  4  2     0.6     0.4     0.4 1
-1914  4  3     0.3     0.1     0.1 1
-1914  4  4     1.8     1.6     1.6 1
-1914  4  5     2.8     2.6     2.6 1
-1914  4  6     2.3     2.1     2.1 1
-1914  4  7     2.7     2.5     2.5 1
-1914  4  8     3.7     3.5     3.5 1
-1914  4  9     2.7     2.5     2.5 1
-1914  4 10     1.9     1.7     1.7 1
-1914  4 11     7.8     7.6     7.6 1
-1914  4 12     6.6     6.4     6.4 1
-1914  4 13     8.8     8.6     8.6 1
-1914  4 14     7.6     7.4     7.4 1
-1914  4 15     4.0     3.8     3.8 1
-1914  4 16     6.5     6.3     6.3 1
-1914  4 17     7.2     7.0     7.0 1
-1914  4 18    11.0    10.8    10.8 1
-1914  4 19    11.6    11.4    11.4 1
-1914  4 20    10.3    10.1    10.1 1
-1914  4 21    14.0    13.8    13.8 1
-1914  4 22    15.5    15.2    15.2 1
-1914  4 23    14.3    14.0    14.0 1
-1914  4 24     5.8     5.5     5.5 1
-1914  4 25     5.6     5.3     5.3 1
-1914  4 26     9.0     8.7     8.7 1
-1914  4 27     8.9     8.6     8.6 1
-1914  4 28    11.7    11.4    11.4 1
-1914  4 29     8.6     8.3     8.3 1
-1914  4 30     5.3     5.0     5.0 1
-1914  5  1     4.0     3.7     3.7 1
-1914  5  2     4.0     3.6     3.6 1
-1914  5  3     5.4     5.0     5.0 1
-1914  5  4     9.3     8.9     8.9 1
-1914  5  5    11.4    11.0    11.0 1
-1914  5  6     7.8     7.4     7.4 1
-1914  5  7     8.9     8.5     8.5 1
-1914  5  8     8.8     8.4     8.4 1
-1914  5  9     9.8     9.4     9.4 1
-1914  5 10     6.4     6.0     6.0 1
-1914  5 11     5.9     5.5     5.5 1
-1914  5 12     8.3     7.8     7.8 1
-1914  5 13     7.5     7.0     7.0 1
-1914  5 14     9.6     9.1     9.1 1
-1914  5 15    12.9    12.4    12.4 1
-1914  5 16    11.6    11.1    11.1 1
-1914  5 17    12.5    12.0    12.0 1
-1914  5 18    15.9    15.4    15.4 1
-1914  5 19    13.3    12.8    12.8 1
-1914  5 20    10.6    10.1    10.1 1
-1914  5 21    10.8    10.3    10.3 1
-1914  5 22    12.8    12.3    12.3 1
-1914  5 23    14.4    13.9    13.9 1
-1914  5 24     8.9     8.4     8.4 1
-1914  5 25     7.9     7.5     7.5 1
-1914  5 26     5.7     5.3     5.3 1
-1914  5 27     7.3     6.9     6.9 1
-1914  5 28     8.5     8.1     8.1 1
-1914  5 29     9.1     8.7     8.7 1
-1914  5 30    11.5    11.1    11.1 1
-1914  5 31    13.3    12.9    12.9 1
-1914  6  1    11.3    10.9    10.9 1
-1914  6  2     7.4     7.0     7.0 1
-1914  6  3     6.9     6.5     6.5 1
-1914  6  4     8.1     7.7     7.7 1
-1914  6  5     7.3     6.9     6.9 1
-1914  6  6     7.6     7.2     7.2 1
-1914  6  7    10.2     9.8     9.8 1
-1914  6  8    12.8    12.4    12.4 1
-1914  6  9    14.0    13.6    13.6 1
-1914  6 10    14.1    13.7    13.7 1
-1914  6 11    15.8    15.4    15.4 1
-1914  6 12    16.9    16.5    16.5 1
-1914  6 13    17.9    17.5    17.5 1
-1914  6 14    17.9    17.5    17.5 1
-1914  6 15    20.3    19.9    19.9 1
-1914  6 16    10.0     9.6     9.6 1
-1914  6 17    11.7    11.3    11.3 1
-1914  6 18    17.0    16.6    16.6 1
-1914  6 19    16.6    16.2    16.2 1
-1914  6 20    18.4    18.0    18.0 1
-1914  6 21    19.7    19.3    19.3 1
-1914  6 22    20.7    20.3    20.3 1
-1914  6 23    20.5    20.1    20.1 1
-1914  6 24    18.5    18.1    18.1 1
-1914  6 25    19.6    19.2    19.2 1
-1914  6 26    16.8    16.4    16.4 1
-1914  6 27    17.0    16.6    16.6 1
-1914  6 28    14.6    14.2    14.2 1
-1914  6 29    15.4    15.0    15.0 1
-1914  6 30    16.5    16.1    16.1 1
-1914  7  1    21.1    20.7    20.7 1
-1914  7  2    20.2    19.8    19.8 1
-1914  7  3    20.8    20.4    20.4 1
-1914  7  4    22.2    21.8    21.8 1
-1914  7  5    21.4    21.0    21.0 1
-1914  7  6    21.0    20.6    20.6 1
-1914  7  7    22.2    21.8    21.8 1
-1914  7  8    23.0    22.6    22.6 1
-1914  7  9    24.0    23.6    23.6 1
-1914  7 10    24.7    24.3    24.3 1
-1914  7 11    23.1    22.7    22.7 1
-1914  7 12    20.3    19.9    19.9 1
-1914  7 13    21.1    20.7    20.7 1
-1914  7 14    21.4    21.0    21.0 1
-1914  7 15    22.8    22.4    22.4 1
-1914  7 16    23.1    22.8    22.8 1
-1914  7 17    24.3    24.0    24.0 1
-1914  7 18    21.4    21.1    21.1 1
-1914  7 19    24.1    23.8    23.8 1
-1914  7 20    24.5    24.2    24.2 1
-1914  7 21    23.4    23.1    23.1 1
-1914  7 22    23.4    23.1    23.1 1
-1914  7 23    24.3    24.0    24.0 1
-1914  7 24    18.2    17.9    17.9 1
-1914  7 25    16.4    16.1    16.1 1
-1914  7 26    17.3    17.0    17.0 1
-1914  7 27    18.4    18.1    18.1 1
-1914  7 28    15.7    15.5    15.5 1
-1914  7 29    15.9    15.7    15.7 1
-1914  7 30    16.0    15.8    15.8 1
-1914  7 31    16.8    16.6    16.6 1
-1914  8  1    15.5    15.3    15.3 1
-1914  8  2    14.5    14.3    14.3 1
-1914  8  3    14.7    14.5    14.5 1
-1914  8  4    15.7    15.5    15.5 1
-1914  8  5    14.1    13.9    13.9 1
-1914  8  6    16.1    15.9    15.9 1
-1914  8  7    17.3    17.1    17.1 1
-1914  8  8    19.1    18.9    18.9 1
-1914  8  9    18.0    17.8    17.8 1
-1914  8 10    21.1    21.0    21.0 1
-1914  8 11    19.2    19.1    19.1 1
-1914  8 12    15.8    15.7    15.7 1
-1914  8 13    14.6    14.5    14.5 1
-1914  8 14    13.5    13.4    13.4 1
-1914  8 15    12.4    12.3    12.3 1
-1914  8 16    14.1    14.0    14.0 1
-1914  8 17    13.4    13.3    13.3 1
-1914  8 18    13.7    13.6    13.6 1
-1914  8 19    14.0    13.9    13.9 1
-1914  8 20    12.9    12.8    12.8 1
-1914  8 21    13.1    13.0    13.0 1
-1914  8 22    15.6    15.5    15.5 1
-1914  8 23    15.0    15.0    15.0 1
-1914  8 24    17.4    17.4    17.4 1
-1914  8 25    18.8    18.8    18.8 1
-1914  8 26    17.2    17.2    17.2 1
-1914  8 27    15.6    15.6    15.6 1
-1914  8 28    16.9    16.9    16.9 1
-1914  8 29    17.8    17.8    17.8 1
-1914  8 30    14.5    14.5    14.5 1
-1914  8 31    12.9    12.9    12.9 1
-1914  9  1    12.1    12.1    12.1 1
-1914  9  2    12.2    12.2    12.2 1
-1914  9  3    12.5    12.5    12.5 1
-1914  9  4     7.8     7.8     7.8 1
-1914  9  5    10.8    10.9    10.9 1
-1914  9  6    13.4    13.5    13.5 1
-1914  9  7    15.9    16.0    16.0 1
-1914  9  8    15.1    15.2    15.2 1
-1914  9  9    12.9    13.0    13.0 1
-1914  9 10    14.6    14.7    14.7 1
-1914  9 11    16.3    16.4    16.4 1
-1914  9 12    16.7    16.8    16.8 1
-1914  9 13    11.9    12.0    12.0 1
-1914  9 14    13.6    13.7    13.7 1
-1914  9 15    13.9    14.0    14.0 1
-1914  9 16    13.0    13.1    13.1 1
-1914  9 17    11.3    11.4    11.4 1
-1914  9 18    11.6    11.7    11.7 1
-1914  9 19    10.8    10.9    10.9 1
-1914  9 20     9.7     9.8     9.8 1
-1914  9 21     8.6     8.7     8.7 1
-1914  9 22     8.1     8.2     8.2 1
-1914  9 23    10.6    10.7    10.7 1
-1914  9 24    11.7    11.8    11.8 1
-1914  9 25    13.9    14.0    14.0 1
-1914  9 26    13.6    13.7    13.7 1
-1914  9 27     9.2     9.3     9.3 1
-1914  9 28     6.7     6.8     6.8 1
-1914  9 29     5.9     6.0     6.0 1
-1914  9 30     6.0     6.1     6.1 1
-1914 10  1     9.0     9.1     9.1 1
-1914 10  2     5.6     5.7     5.7 1
-1914 10  3     5.2     5.3     5.3 1
-1914 10  4     3.7     3.8     3.8 1
-1914 10  5     5.3     5.4     5.4 1
-1914 10  6     2.1     2.2     2.2 1
-1914 10  7     4.4     4.5     4.5 1
-1914 10  8     9.3     9.4     9.4 1
-1914 10  9     7.9     8.0     8.0 1
-1914 10 10     7.2     7.3     7.3 1
-1914 10 11     6.7     6.8     6.8 1
-1914 10 12     7.7     7.8     7.8 1
-1914 10 13     6.7     6.8     6.8 1
-1914 10 14     6.5     6.6     6.6 1
-1914 10 15     6.9     7.0     7.0 1
-1914 10 16     7.4     7.5     7.5 1
-1914 10 17     8.0     8.1     8.1 1
-1914 10 18     6.9     7.0     7.0 1
-1914 10 19     6.4     6.5     6.5 1
-1914 10 20     5.1     5.2     5.2 1
-1914 10 21     4.8     4.9     4.9 1
-1914 10 22     5.0     5.1     5.1 1
-1914 10 23     6.1     6.2     6.2 1
-1914 10 24     7.4     7.5     7.5 1
-1914 10 25     7.5     7.6     7.6 1
-1914 10 26     6.1     6.1     6.1 1
-1914 10 27     5.1     5.1     5.1 1
-1914 10 28     3.7     3.7     3.7 1
-1914 10 29     1.6     1.6     1.6 1
-1914 10 30     2.7     2.7     2.7 1
-1914 10 31     2.6     2.6     2.6 1
-1914 11  1     2.7     2.7     2.7 1
-1914 11  2     1.6     1.6     1.6 1
-1914 11  3     2.4     2.4     2.4 1
-1914 11  4     1.4     1.4     1.4 1
-1914 11  5     2.2     2.2     2.2 1
-1914 11  6     3.1     3.1     3.1 1
-1914 11  7     3.4     3.4     3.4 1
-1914 11  8     3.4     3.4     3.4 1
-1914 11  9     5.5     5.5     5.5 1
-1914 11 10     8.9     8.9     8.9 1
-1914 11 11     4.8     4.8     4.8 1
-1914 11 12     3.2     3.1     3.1 1
-1914 11 13     0.7     0.6     0.6 1
-1914 11 14    -1.0    -1.1    -1.1 1
-1914 11 15    -0.2    -0.3    -0.3 1
-1914 11 16    -3.9    -4.0    -4.0 1
-1914 11 17    -3.1    -3.2    -3.2 1
-1914 11 18    -0.5    -0.6    -0.6 1
-1914 11 19    -3.3    -3.4    -3.4 1
-1914 11 20     0.6     0.5     0.5 1
-1914 11 21    -0.4    -0.5    -0.5 1
-1914 11 22    -2.3    -2.4    -2.4 1
-1914 11 23    -0.5    -0.6    -0.6 1
-1914 11 24     0.9     0.8     0.8 1
-1914 11 25    -2.1    -2.2    -2.2 1
-1914 11 26     0.1     0.0     0.0 1
-1914 11 27     4.3     4.2     4.2 1
-1914 11 28     3.7     3.6     3.6 1
-1914 11 29     4.8     4.7     4.7 1
-1914 11 30     5.4     5.3     5.3 1
-1914 12  1     7.9     7.8     7.8 1
-1914 12  2     5.8     5.7     5.7 1
-1914 12  3     5.3     5.2     5.2 1
-1914 12  4     6.0     5.9     5.9 1
-1914 12  5     4.7     4.6     4.6 1
-1914 12  6     3.2     3.1     3.1 1
-1914 12  7     2.7     2.6     2.6 1
-1914 12  8     4.3     4.2     4.2 1
-1914 12  9     5.2     5.1     5.1 1
-1914 12 10     1.0     0.9     0.9 1
-1914 12 11    -3.8    -3.9    -3.9 1
-1914 12 12    -2.2    -2.3    -2.3 1
-1914 12 13     0.8     0.7     0.7 1
-1914 12 14     3.3     3.2     3.2 1
-1914 12 15     3.0     2.9     2.9 1
-1914 12 16     1.3     1.2     1.2 1
-1914 12 17    -0.8    -0.9    -0.9 1
-1914 12 18     2.5     2.4     2.4 1
-1914 12 19     4.1     4.0     4.0 1
-1914 12 20     3.8     3.7     3.7 1
-1914 12 21     3.1     3.0     3.0 1
-1914 12 22     2.9     2.8     2.8 1
-1914 12 23     1.0     0.9     0.9 1
-1914 12 24     0.7     0.5     0.5 1
-1914 12 25     1.1     0.9     0.9 1
-1914 12 26    -1.7    -1.9    -1.9 1
-1914 12 27     1.5     1.3     1.3 1
-1914 12 28     1.9     1.7     1.7 1
-1914 12 29     2.9     2.7     2.7 1
-1914 12 30     2.2     2.0     2.0 1
-1914 12 31    -2.0    -2.2    -2.2 1
-1915  1  1     0.1    -0.1    -0.1 1
-1915  1  2     0.8     0.5     0.5 1
-1915  1  3    -0.5    -0.8    -0.8 1
-1915  1  4    -1.3    -1.6    -1.6 1
-1915  1  5    -2.0    -2.3    -2.3 1
-1915  1  6    -3.6    -3.9    -3.9 1
-1915  1  7    -8.9    -9.2    -9.2 1
-1915  1  8    -7.8    -8.1    -8.1 1
-1915  1  9    -5.6    -5.9    -5.9 1
-1915  1 10    -3.2    -3.5    -3.5 1
-1915  1 11    -9.7   -10.0   -10.0 1
-1915  1 12    -5.9    -6.2    -6.2 1
-1915  1 13   -11.4   -11.8   -11.8 1
-1915  1 14    -4.1    -4.5    -4.5 1
-1915  1 15     1.1     0.7     0.7 1
-1915  1 16    -2.3    -2.7    -2.7 1
-1915  1 17    -7.1    -7.5    -7.5 1
-1915  1 18    -7.8    -8.2    -8.2 1
-1915  1 19   -10.1   -10.5   -10.5 1
-1915  1 20     1.5     1.1     1.1 1
-1915  1 21     1.0     0.6     0.6 1
-1915  1 22     0.8     0.5     0.5 1
-1915  1 23     0.6     0.3     0.3 1
-1915  1 24    -1.5    -1.8    -1.8 1
-1915  1 25    -3.9    -4.2    -4.2 1
-1915  1 26    -3.0    -3.3    -3.3 1
-1915  1 27    -5.3    -5.6    -5.6 1
-1915  1 28    -8.2    -8.5    -8.5 1
-1915  1 29    -7.4    -7.7    -7.7 1
-1915  1 30    -8.5    -8.8    -8.8 1
-1915  1 31   -11.5   -11.8   -11.8 1
-1915  2  1    -4.7    -5.0    -5.0 1
-1915  2  2    -0.6    -0.9    -0.9 1
-1915  2  3     0.1    -0.2    -0.2 1
-1915  2  4    -2.1    -2.4    -2.4 1
-1915  2  5    -5.2    -5.5    -5.5 1
-1915  2  6    -6.3    -6.6    -6.6 1
-1915  2  7    -4.8    -5.1    -5.1 1
-1915  2  8    -0.2    -0.5    -0.5 1
-1915  2  9     0.7     0.4     0.4 1
-1915  2 10    -1.1    -1.4    -1.4 1
-1915  2 11    -1.5    -1.8    -1.8 1
-1915  2 12    -1.8    -2.1    -2.1 1
-1915  2 13    -1.0    -1.3    -1.3 1
-1915  2 14    -0.4    -0.6    -0.6 1
-1915  2 15    -3.2    -3.4    -3.4 1
-1915  2 16    -5.0    -5.2    -5.2 1
-1915  2 17    -6.8    -7.0    -7.0 1
-1915  2 18     0.6     0.3     0.3 1
-1915  2 19     1.2     0.9     0.9 1
-1915  2 20     1.0     0.7     0.7 1
-1915  2 21     0.4     0.1     0.1 1
-1915  2 22    -0.4    -0.7    -0.7 1
-1915  2 23    -1.4    -1.7    -1.7 1
-1915  2 24    -2.0    -2.3    -2.3 1
-1915  2 25    -3.4    -3.7    -3.7 1
-1915  2 26    -4.7    -5.0    -5.0 1
-1915  2 27    -0.2    -0.5    -0.5 1
-1915  2 28     1.0     0.7     0.7 1
-1915  3  1     0.5     0.2     0.2 1
-1915  3  2    -3.3    -3.6    -3.6 1
-1915  3  3    -5.1    -5.4    -5.4 1
-1915  3  4    -6.5    -6.8    -6.8 1
-1915  3  5   -10.2   -10.5   -10.5 1
-1915  3  6    -8.8    -9.1    -9.1 1
-1915  3  7    -7.7    -8.0    -8.0 1
-1915  3  8    -8.9    -9.2    -9.2 1
-1915  3  9    -8.0    -8.3    -8.3 1
-1915  3 10    -3.2    -3.5    -3.5 1
-1915  3 11     0.1    -0.2    -0.2 1
-1915  3 12     0.5     0.2     0.2 1
-1915  3 13     1.6     1.3     1.3 1
-1915  3 14     4.5     4.2     4.2 1
-1915  3 15     2.5     2.2     2.2 1
-1915  3 16    -5.0    -5.3    -5.3 1
-1915  3 17    -9.4    -9.7    -9.7 1
-1915  3 18   -10.4   -10.7   -10.7 1
-1915  3 19    -5.6    -5.9    -5.9 1
-1915  3 20    -7.1    -7.4    -7.4 1
-1915  3 21    -2.1    -2.4    -2.4 1
-1915  3 22     0.8     0.5     0.5 1
-1915  3 23    -0.9    -1.2    -1.2 1
-1915  3 24     1.5     1.2     1.2 1
-1915  3 25    -1.0    -1.3    -1.3 1
-1915  3 26    -3.0    -3.3    -3.3 1
-1915  3 27    -7.0    -7.3    -7.3 1
-1915  3 28    -6.9    -7.2    -7.2 1
-1915  3 29    -3.5    -3.8    -3.8 1
-1915  3 30    -1.6    -1.9    -1.9 1
-1915  3 31    -2.7    -3.0    -3.0 1
-1915  4  1    -1.4    -1.7    -1.7 1
-1915  4  2    -2.1    -2.4    -2.4 1
-1915  4  3     0.0    -0.3    -0.3 1
-1915  4  4    -0.2    -0.4    -0.4 1
-1915  4  5     0.2     0.0     0.0 1
-1915  4  6     2.0     1.8     1.8 1
-1915  4  7     1.0     0.8     0.8 1
-1915  4  8     1.0     0.8     0.8 1
-1915  4  9     3.5     3.3     3.3 1
-1915  4 10     2.3     2.1     2.1 1
-1915  4 11     1.6     1.4     1.4 1
-1915  4 12     4.2     4.0     4.0 1
-1915  4 13     2.9     2.7     2.7 1
-1915  4 14     3.9     3.7     3.7 1
-1915  4 15     4.4     4.2     4.2 1
-1915  4 16     4.6     4.4     4.4 1
-1915  4 17     3.6     3.4     3.4 1
-1915  4 18     3.8     3.6     3.6 1
-1915  4 19     6.8     6.6     6.6 1
-1915  4 20     7.4     7.2     7.2 1
-1915  4 21     7.3     7.0     7.0 1
-1915  4 22     5.7     5.4     5.4 1
-1915  4 23     6.9     6.6     6.6 1
-1915  4 24     6.4     6.1     6.1 1
-1915  4 25    10.4    10.1    10.1 1
-1915  4 26    10.6    10.3    10.3 1
-1915  4 27     4.9     4.6     4.6 1
-1915  4 28     8.9     8.6     8.6 1
-1915  4 29     3.9     3.6     3.6 1
-1915  4 30     9.8     9.5     9.5 1
-1915  5  1     5.7     5.3     5.3 1
-1915  5  2     1.9     1.5     1.5 1
-1915  5  3     2.2     1.8     1.8 1
-1915  5  4     5.5     5.1     5.1 1
-1915  5  5     8.0     7.6     7.6 1
-1915  5  6     8.3     7.9     7.9 1
-1915  5  7     9.7     9.3     9.3 1
-1915  5  8     8.8     8.4     8.4 1
-1915  5  9     4.1     3.7     3.7 1
-1915  5 10     5.5     5.0     5.0 1
-1915  5 11     8.6     8.1     8.1 1
-1915  5 12     4.6     4.1     4.1 1
-1915  5 13     5.8     5.3     5.3 1
-1915  5 14     5.1     4.6     4.6 1
-1915  5 15     2.6     2.1     2.1 1
-1915  5 16     4.6     4.1     4.1 1
-1915  5 17     7.6     7.1     7.1 1
-1915  5 18     7.5     7.0     7.0 1
-1915  5 19     6.8     6.3     6.3 1
-1915  5 20     8.6     8.1     8.1 1
-1915  5 21    11.9    11.4    11.4 1
-1915  5 22    12.0    11.5    11.5 1
-1915  5 23    14.0    13.5    13.5 1
-1915  5 24    13.0    12.5    12.5 1
-1915  5 25    19.2    18.7    18.7 1
-1915  5 26     8.5     8.0     8.0 1
-1915  5 27    10.0     9.5     9.5 1
-1915  5 28     9.8     9.3     9.3 1
-1915  5 29     9.6     9.2     9.2 1
-1915  5 30     5.2     4.8     4.8 1
-1915  5 31     7.7     7.3     7.3 1
-1915  6  1    11.0    10.6    10.6 1
-1915  6  2    11.4    11.0    11.0 1
-1915  6  3    12.0    11.6    11.6 1
-1915  6  4    11.4    11.0    11.0 1
-1915  6  5    11.3    10.9    10.9 1
-1915  6  6    10.8    10.4    10.4 1
-1915  6  7    13.5    13.1    13.1 1
-1915  6  8    15.1    14.7    14.7 1
-1915  6  9    18.7    18.3    18.3 1
-1915  6 10    19.6    19.2    19.2 1
-1915  6 11    15.1    14.7    14.7 1
-1915  6 12    17.5    17.1    17.1 1
-1915  6 13     9.9     9.5     9.5 1
-1915  6 14     9.3     8.9     8.9 1
-1915  6 15    11.6    11.2    11.2 1
-1915  6 16    15.6    15.2    15.2 1
-1915  6 17     7.5     7.1     7.1 1
-1915  6 18     8.5     8.1     8.1 1
-1915  6 19     7.6     7.2     7.2 1
-1915  6 20    10.4    10.0    10.0 1
-1915  6 21    10.2     9.8     9.8 1
-1915  6 22    11.4    11.0    11.0 1
-1915  6 23    13.8    13.4    13.4 1
-1915  6 24    14.3    13.9    13.9 1
-1915  6 25    12.5    12.1    12.1 1
-1915  6 26    15.1    14.7    14.7 1
-1915  6 27    14.0    13.6    13.6 1
-1915  6 28    15.9    15.5    15.5 1
-1915  6 29    14.6    14.2    14.2 1
-1915  6 30    18.8    18.4    18.4 1
-1915  7  1    18.3    17.9    17.9 1
-1915  7  2    18.2    17.8    17.8 1
-1915  7  3    17.9    17.5    17.5 1
-1915  7  4    17.1    16.7    16.7 1
-1915  7  5    18.9    18.5    18.5 1
-1915  7  6    18.6    18.2    18.2 1
-1915  7  7    18.6    18.2    18.2 1
-1915  7  8    16.1    15.7    15.7 1
-1915  7  9    15.3    14.9    14.9 1
-1915  7 10    14.8    14.4    14.4 1
-1915  7 11    15.5    15.1    15.1 1
-1915  7 12    15.1    14.7    14.7 1
-1915  7 13    15.3    14.9    14.9 1
-1915  7 14    15.6    15.2    15.2 1
-1915  7 15    15.4    15.0    15.0 1
-1915  7 16    14.3    13.9    13.9 1
-1915  7 17    15.6    15.3    15.3 1
-1915  7 18    13.7    13.4    13.4 1
-1915  7 19    15.9    15.6    15.6 1
-1915  7 20    16.0    15.7    15.7 1
-1915  7 21    16.2    15.9    15.9 1
-1915  7 22    16.6    16.3    16.3 1
-1915  7 23    17.8    17.5    17.5 1
-1915  7 24    16.4    16.1    16.1 1
-1915  7 25    16.4    16.1    16.1 1
-1915  7 26    15.1    14.8    14.8 1
-1915  7 27    15.7    15.4    15.4 1
-1915  7 28    14.9    14.6    14.6 1
-1915  7 29    14.4    14.1    14.1 1
-1915  7 30    15.2    15.0    15.0 1
-1915  7 31    15.6    15.4    15.4 1
-1915  8  1    14.9    14.7    14.7 1
-1915  8  2    15.1    14.9    14.9 1
-1915  8  3    16.8    16.6    16.6 1
-1915  8  4    18.0    17.8    17.8 1
-1915  8  5    20.0    19.8    19.8 1
-1915  8  6    18.2    18.0    18.0 1
-1915  8  7    18.7    18.5    18.5 1
-1915  8  8    18.5    18.3    18.3 1
-1915  8  9    16.1    15.9    15.9 1
-1915  8 10    14.0    13.8    13.8 1
-1915  8 11    16.0    15.8    15.8 1
-1915  8 12    16.0    15.9    15.9 1
-1915  8 13    16.4    16.3    16.3 1
-1915  8 14    17.3    17.2    17.2 1
-1915  8 15    13.5    13.4    13.4 1
-1915  8 16    11.2    11.1    11.1 1
-1915  8 17    11.2    11.1    11.1 1
-1915  8 18    13.7    13.6    13.6 1
-1915  8 19    12.7    12.6    12.6 1
-1915  8 20    13.2    13.1    13.1 1
-1915  8 21    14.0    13.9    13.9 1
-1915  8 22    14.7    14.6    14.6 1
-1915  8 23    15.2    15.1    15.1 1
-1915  8 24    16.4    16.3    16.3 1
-1915  8 25    15.2    15.2    15.2 1
-1915  8 26    16.6    16.6    16.6 1
-1915  8 27    16.5    16.5    16.5 1
-1915  8 28    15.6    15.6    15.6 1
-1915  8 29    13.7    13.7    13.7 1
-1915  8 30    11.7    11.7    11.7 1
-1915  8 31     8.5     8.5     8.5 1
-1915  9  1     9.5     9.5     9.5 1
-1915  9  2    11.9    11.9    11.9 1
-1915  9  3    11.9    11.9    11.9 1
-1915  9  4    12.0    12.0    12.0 1
-1915  9  5    12.2    12.2    12.2 1
-1915  9  6    10.8    10.9    10.9 1
-1915  9  7    10.3    10.4    10.4 1
-1915  9  8    11.4    11.5    11.5 1
-1915  9  9    14.3    14.4    14.4 1
-1915  9 10    16.2    16.3    16.3 1
-1915  9 11    15.5    15.6    15.6 1
-1915  9 12    12.9    13.0    13.0 1
-1915  9 13    12.7    12.8    12.8 1
-1915  9 14    14.4    14.5    14.5 1
-1915  9 15    10.9    11.0    11.0 1
-1915  9 16    11.6    11.7    11.7 1
-1915  9 17     9.9    10.0    10.0 1
-1915  9 18     4.6     4.7     4.7 1
-1915  9 19     6.5     6.6     6.6 1
-1915  9 20     4.3     4.4     4.4 1
-1915  9 21     5.6     5.7     5.7 1
-1915  9 22     6.9     7.0     7.0 1
-1915  9 23     9.4     9.5     9.5 1
-1915  9 24    11.0    11.1    11.1 1
-1915  9 25    12.1    12.2    12.2 1
-1915  9 26     6.0     6.1     6.1 1
-1915  9 27     4.5     4.6     4.6 1
-1915  9 28     4.5     4.6     4.6 1
-1915  9 29     6.7     6.8     6.8 1
-1915  9 30     9.1     9.2     9.2 1
-1915 10  1    10.0    10.1    10.1 1
-1915 10  2     6.2     6.3     6.3 1
-1915 10  3     5.8     5.9     5.9 1
-1915 10  4     4.7     4.8     4.8 1
-1915 10  5     6.1     6.2     6.2 1
-1915 10  6     6.5     6.6     6.6 1
-1915 10  7     5.7     5.8     5.8 1
-1915 10  8     4.9     5.0     5.0 1
-1915 10  9     5.5     5.6     5.6 1
-1915 10 10     5.7     5.8     5.8 1
-1915 10 11     5.4     5.5     5.5 1
-1915 10 12     6.3     6.4     6.4 1
-1915 10 13     7.9     8.0     8.0 1
-1915 10 14     8.9     9.0     9.0 1
-1915 10 15     9.0     9.1     9.1 1
-1915 10 16     7.2     7.3     7.3 1
-1915 10 17     6.8     6.9     6.9 1
-1915 10 18     5.3     5.4     5.4 1
-1915 10 19     4.6     4.7     4.7 1
-1915 10 20     3.7     3.8     3.8 1
-1915 10 21     2.7     2.8     2.8 1
-1915 10 22     2.8     2.9     2.9 1
-1915 10 23     1.8     1.9     1.9 1
-1915 10 24     0.2     0.3     0.3 1
-1915 10 25     0.5     0.5     0.5 1
-1915 10 26    -0.7    -0.7    -0.7 1
-1915 10 27    -0.3    -0.3    -0.3 1
-1915 10 28    -1.7    -1.7    -1.7 1
-1915 10 29    -3.9    -3.9    -3.9 1
-1915 10 30    -1.8    -1.8    -1.8 1
-1915 10 31     2.1     2.1     2.1 1
-1915 11  1     0.7     0.7     0.7 1
-1915 11  2     1.4     1.4     1.4 1
-1915 11  3     1.1     1.1     1.1 1
-1915 11  4     0.8     0.8     0.8 1
-1915 11  5    -1.1    -1.1    -1.1 1
-1915 11  6    -1.6    -1.6    -1.6 1
-1915 11  7     2.1     2.1     2.1 1
-1915 11  8     1.7     1.7     1.7 1
-1915 11  9    -2.1    -2.1    -2.1 1
-1915 11 10     2.8     2.8     2.8 1
-1915 11 11     5.4     5.3     5.3 1
-1915 11 12     3.6     3.5     3.5 1
-1915 11 13     6.4     6.3     6.3 1
-1915 11 14     4.4     4.3     4.3 1
-1915 11 15     3.3     3.2     3.2 1
-1915 11 16     1.4     1.3     1.3 1
-1915 11 17     0.7     0.6     0.6 1
-1915 11 18    -0.6    -0.7    -0.7 1
-1915 11 19    -0.2    -0.3    -0.3 1
-1915 11 20    -0.3    -0.4    -0.4 1
-1915 11 21    -0.9    -1.0    -1.0 1
-1915 11 22     2.5     2.4     2.4 1
-1915 11 23     1.5     1.4     1.4 1
-1915 11 24    -0.6    -0.7    -0.7 1
-1915 11 25    -5.3    -5.4    -5.4 1
-1915 11 26    -6.6    -6.7    -6.7 1
-1915 11 27   -10.1   -10.2   -10.2 1
-1915 11 28    -0.4    -0.5    -0.5 1
-1915 11 29     0.8     0.7     0.7 1
-1915 11 30    -1.0    -1.1    -1.1 1
-1915 12  1     1.7     1.6     1.6 1
-1915 12  2     0.0    -0.1    -0.1 1
-1915 12  3    -2.5    -2.6    -2.6 1
-1915 12  4   -12.2   -12.3   -12.3 1
-1915 12  5   -13.6   -13.7   -13.7 1
-1915 12  6    -4.7    -4.8    -4.8 1
-1915 12  7    -0.7    -0.8    -0.8 1
-1915 12  8    -0.4    -0.5    -0.5 1
-1915 12  9    -7.4    -7.5    -7.5 1
-1915 12 10    -8.0    -8.1    -8.1 1
-1915 12 11    -1.1    -1.2    -1.2 1
-1915 12 12    -5.7    -5.8    -5.8 1
-1915 12 13   -13.1   -13.2   -13.2 1
-1915 12 14   -11.8   -11.9   -11.9 1
-1915 12 15    -4.9    -5.0    -5.0 1
-1915 12 16    -0.7    -0.8    -0.8 1
-1915 12 17     0.0    -0.1    -0.1 1
-1915 12 18    -1.2    -1.3    -1.3 1
-1915 12 19   -11.0   -11.1   -11.1 1
-1915 12 20    -9.0    -9.1    -9.1 1
-1915 12 21   -13.7   -13.8   -13.8 1
-1915 12 22   -19.6   -19.7   -19.7 1
-1915 12 23   -11.3   -11.5   -11.5 1
-1915 12 24    -8.5    -8.7    -8.7 1
-1915 12 25    -6.1    -6.3    -6.3 1
-1915 12 26    -7.8    -8.0    -8.0 1
-1915 12 27    -9.4    -9.6    -9.6 1
-1915 12 28    -3.1    -3.3    -3.3 1
-1915 12 29    -7.1    -7.3    -7.3 1
-1915 12 30   -10.3   -10.5   -10.5 1
-1915 12 31    -9.3    -9.5    -9.5 1
-1916  1  1     0.1    -0.2    -0.2 1
-1916  1  2     1.9     1.6     1.6 1
-1916  1  3     2.4     2.1     2.1 1
-1916  1  4     0.1    -0.2    -0.2 1
-1916  1  5     2.6     2.3     2.3 1
-1916  1  6    -2.0    -2.3    -2.3 1
-1916  1  7     0.4     0.1     0.1 1
-1916  1  8    -3.2    -3.5    -3.5 1
-1916  1  9    -8.4    -8.7    -8.7 1
-1916  1 10     0.2    -0.1    -0.1 1
-1916  1 11    -4.7    -5.0    -5.0 1
-1916  1 12   -10.0   -10.4   -10.4 1
-1916  1 13    -6.0    -6.4    -6.4 1
-1916  1 14   -10.2   -10.6   -10.6 1
-1916  1 15    -3.1    -3.5    -3.5 1
-1916  1 16   -10.9   -11.3   -11.3 1
-1916  1 17   -12.4   -12.8   -12.8 1
-1916  1 18    -7.3    -7.7    -7.7 1
-1916  1 19     1.7     1.3     1.3 1
-1916  1 20     3.4     3.0     3.0 1
-1916  1 21     1.9     1.5     1.5 1
-1916  1 22     4.1     3.7     3.7 1
-1916  1 23     2.0     1.6     1.6 1
-1916  1 24     2.0     1.7     1.7 1
-1916  1 25     2.6     2.3     2.3 1
-1916  1 26     4.8     4.5     4.5 1
-1916  1 27     0.1    -0.2    -0.2 1
-1916  1 28    -2.9    -3.2    -3.2 1
-1916  1 29    -1.5    -1.8    -1.8 1
-1916  1 30     2.2     1.9     1.9 1
-1916  1 31     1.8     1.5     1.5 1
-1916  2  1     1.6     1.3     1.3 1
-1916  2  2    -2.3    -2.6    -2.6 1
-1916  2  3     0.7     0.4     0.4 1
-1916  2  4     0.4     0.1     0.1 1
-1916  2  5     0.3     0.0     0.0 1
-1916  2  6     1.6     1.3     1.3 1
-1916  2  7     2.8     2.5     2.5 1
-1916  2  8     2.3     2.0     2.0 1
-1916  2  9     0.9     0.6     0.6 1
-1916  2 10    -0.1    -0.4    -0.4 1
-1916  2 11    -1.5    -1.8    -1.8 1
-1916  2 12    -5.3    -5.6    -5.6 1
-1916  2 13    -1.6    -1.9    -1.9 1
-1916  2 14     0.4     0.1     0.1 1
-1916  2 15    -0.7    -1.0    -1.0 1
-1916  2 16    -2.2    -2.5    -2.5 1
-1916  2 17    -2.3    -2.6    -2.6 1
-1916  2 18    -6.4    -6.7    -6.7 1
-1916  2 19   -10.1   -10.4   -10.4 1
-1916  2 20    -9.5    -9.8    -9.8 1
-1916  2 21    -3.4    -3.7    -3.7 1
-1916  2 22    -0.8    -1.1    -1.1 1
-1916  2 23    -4.6    -4.9    -4.9 1
-1916  2 24    -5.2    -5.5    -5.5 1
-1916  2 25    -5.1    -5.4    -5.4 1
-1916  2 26    -7.9    -8.2    -8.2 1
-1916  2 27    -0.9    -1.2    -1.2 1
-1916  2 28    -1.1    -1.4    -1.4 1
-1916  2 29     0.5     0.2     0.2 1
-1916  3  1     0.2    -0.1    -0.1 1
-1916  3  2    -1.4    -1.7    -1.7 1
-1916  3  3    -0.9    -1.2    -1.2 1
-1916  3  4     0.5     0.2     0.2 1
-1916  3  5    -1.7    -2.0    -2.0 1
-1916  3  6    -2.6    -2.9    -2.9 1
-1916  3  7    -7.6    -7.9    -7.9 1
-1916  3  8    -8.2    -8.5    -8.5 1
-1916  3  9    -4.7    -5.0    -5.0 1
-1916  3 10    -4.1    -4.4    -4.4 1
-1916  3 11    -6.1    -6.4    -6.4 1
-1916  3 12    -7.3    -7.6    -7.6 1
-1916  3 13    -2.7    -3.0    -3.0 1
-1916  3 14    -0.2    -0.6    -0.6 1
-1916  3 15    -0.6    -1.0    -1.0 1
-1916  3 16    -1.0    -1.3    -1.3 1
-1916  3 17    -0.8    -1.1    -1.1 1
-1916  3 18    -0.2    -0.5    -0.5 1
-1916  3 19     0.4     0.1     0.1 1
-1916  3 20    -0.3    -0.6    -0.6 1
-1916  3 21    -4.1    -4.4    -4.4 1
-1916  3 22   -12.1   -12.4   -12.4 1
-1916  3 23   -12.2   -12.5   -12.5 1
-1916  3 24    -6.7    -7.0    -7.0 1
-1916  3 25    -7.2    -7.5    -7.5 1
-1916  3 26     0.4     0.1     0.1 1
-1916  3 27     1.4     1.1     1.1 1
-1916  3 28     2.6     2.3     2.3 1
-1916  3 29     3.9     3.6     3.6 1
-1916  3 30     2.7     2.4     2.4 1
-1916  3 31     4.6     4.3     4.3 1
-1916  4  1     4.5     4.2     4.2 1
-1916  4  2     6.3     6.0     6.0 1
-1916  4  3     6.7     6.4     6.4 1
-1916  4  4     8.2     7.9     7.9 1
-1916  4  5     2.4     2.1     2.1 1
-1916  4  6    -1.7    -1.9    -1.9 1
-1916  4  7    -0.6    -0.8    -0.8 1
-1916  4  8     0.8     0.6     0.6 1
-1916  4  9     2.3     2.1     2.1 1
-1916  4 10     2.9     2.7     2.7 1
-1916  4 11     1.7     1.5     1.5 1
-1916  4 12     0.8     0.6     0.6 1
-1916  4 13     2.0     1.8     1.8 1
-1916  4 14     2.8     2.6     2.6 1
-1916  4 15     2.4     2.2     2.2 1
-1916  4 16     2.9     2.7     2.7 1
-1916  4 17     1.3     1.1     1.1 1
-1916  4 18     0.0    -0.2    -0.2 1
-1916  4 19     1.4     1.2     1.2 1
-1916  4 20     3.6     3.3     3.3 1
-1916  4 21     5.4     5.1     5.1 1
-1916  4 22     6.7     6.4     6.4 1
-1916  4 23    10.0     9.7     9.7 1
-1916  4 24     8.4     8.1     8.1 1
-1916  4 25    10.6    10.3    10.3 1
-1916  4 26    12.0    11.7    11.7 1
-1916  4 27    12.6    12.3    12.3 1
-1916  4 28    13.3    13.0    13.0 1
-1916  4 29    12.2    11.8    11.8 1
-1916  4 30    11.2    10.8    10.8 1
-1916  5  1    11.8    11.4    11.4 1
-1916  5  2     5.7     5.3     5.3 1
-1916  5  3     7.5     7.1     7.1 1
-1916  5  4     8.9     8.5     8.5 1
-1916  5  5    13.9    13.5    13.5 1
-1916  5  6    11.4    11.0    11.0 1
-1916  5  7    15.2    14.8    14.8 1
-1916  5  8    13.2    12.8    12.8 1
-1916  5  9    12.5    12.0    12.0 1
-1916  5 10     5.9     5.4     5.4 1
-1916  5 11     0.6     0.1     0.1 1
-1916  5 12    -1.1    -1.6    -1.6 1
-1916  5 13     0.6     0.1     0.1 1
-1916  5 14     6.3     5.8     5.8 1
-1916  5 15     9.6     9.1     9.1 1
-1916  5 16     7.5     7.0     7.0 1
-1916  5 17     7.3     6.8     6.8 1
-1916  5 18     6.9     6.4     6.4 1
-1916  5 19     6.1     5.6     5.6 1
-1916  5 20     4.5     4.0     4.0 1
-1916  5 21     8.3     7.8     7.8 1
-1916  5 22     5.6     5.1     5.1 1
-1916  5 23     6.8     6.3     6.3 1
-1916  5 24     8.5     8.0     8.0 1
-1916  5 25     7.0     6.5     6.5 1
-1916  5 26     9.1     8.6     8.6 1
-1916  5 27    11.3    10.8    10.8 1
-1916  5 28    11.6    11.1    11.1 1
-1916  5 29    10.7    10.2    10.2 1
-1916  5 30    12.9    12.4    12.4 1
-1916  5 31    12.9    12.4    12.4 1
-1916  6  1     9.1     8.7     8.7 1
-1916  6  2    11.5    11.1    11.1 1
-1916  6  3    11.4    11.0    11.0 1
-1916  6  4    10.3     9.9     9.9 1
-1916  6  5    11.3    10.9    10.9 1
-1916  6  6     9.5     9.1     9.1 1
-1916  6  7    12.9    12.5    12.5 1
-1916  6  8    12.2    11.8    11.8 1
-1916  6  9    11.9    11.5    11.5 1
-1916  6 10    13.7    13.3    13.3 1
-1916  6 11    11.2    10.8    10.8 1
-1916  6 12    11.9    11.5    11.5 1
-1916  6 13     8.4     8.0     8.0 1
-1916  6 14    11.3    10.9    10.9 1
-1916  6 15     6.9     6.5     6.5 1
-1916  6 16     6.7     6.3     6.3 1
-1916  6 17     5.1     4.7     4.7 1
-1916  6 18     9.1     8.7     8.7 1
-1916  6 19    10.6    10.2    10.2 1
-1916  6 20     8.0     7.6     7.6 1
-1916  6 21     8.3     7.9     7.9 1
-1916  6 22    11.2    10.8    10.8 1
-1916  6 23    15.7    15.3    15.3 1
-1916  6 24    16.7    16.3    16.3 1
-1916  6 25    17.9    17.5    17.5 1
-1916  6 26    17.8    17.4    17.4 1
-1916  6 27    17.6    17.2    17.2 1
-1916  6 28    18.5    18.1    18.1 1
-1916  6 29    16.3    15.9    15.9 1
-1916  6 30    17.0    16.6    16.6 1
-1916  7  1    15.7    15.3    15.3 1
-1916  7  2    14.3    13.9    13.9 1
-1916  7  3    15.2    14.8    14.8 1
-1916  7  4    17.3    16.9    16.9 1
-1916  7  5    17.3    16.9    16.9 1
-1916  7  6    15.4    15.0    15.0 1
-1916  7  7    13.9    13.5    13.5 1
-1916  7  8    15.6    15.2    15.2 1
-1916  7  9    17.7    17.3    17.3 1
-1916  7 10    17.3    16.9    16.9 1
-1916  7 11    14.3    13.9    13.9 1
-1916  7 12    15.5    15.1    15.1 1
-1916  7 13    15.8    15.4    15.4 1
-1916  7 14    14.9    14.5    14.5 1
-1916  7 15    15.9    15.5    15.5 1
-1916  7 16    13.8    13.4    13.4 1
-1916  7 17    14.6    14.2    14.2 1
-1916  7 18    15.0    14.6    14.6 1
-1916  7 19    15.5    15.2    15.2 1
-1916  7 20    19.0    18.7    18.7 1
-1916  7 21    18.3    18.0    18.0 1
-1916  7 22    16.5    16.2    16.2 1
-1916  7 23    17.6    17.3    17.3 1
-1916  7 24    19.0    18.7    18.7 1
-1916  7 25    19.6    19.3    19.3 1
-1916  7 26    21.1    20.8    20.8 1
-1916  7 27    21.9    21.6    21.6 1
-1916  7 28    20.7    20.4    20.4 1
-1916  7 29    18.9    18.6    18.6 1
-1916  7 30    18.2    17.9    17.9 1
-1916  7 31    16.5    16.2    16.2 1
-1916  8  1    14.6    14.4    14.4 1
-1916  8  2    15.1    14.9    14.9 1
-1916  8  3    11.8    11.6    11.6 1
-1916  8  4    12.1    11.9    11.9 1
-1916  8  5    13.0    12.8    12.8 1
-1916  8  6    13.2    13.0    13.0 1
-1916  8  7    11.7    11.5    11.5 1
-1916  8  8    15.4    15.2    15.2 1
-1916  8  9    14.3    14.1    14.1 1
-1916  8 10    12.5    12.3    12.3 1
-1916  8 11    12.1    11.9    11.9 1
-1916  8 12    12.7    12.5    12.5 1
-1916  8 13    13.2    13.0    13.0 1
-1916  8 14    12.6    12.5    12.5 1
-1916  8 15    14.3    14.2    14.2 1
-1916  8 16    16.1    16.0    16.0 1
-1916  8 17    15.6    15.5    15.5 1
-1916  8 18    13.8    13.7    13.7 1
-1916  8 19    14.4    14.3    14.3 1
-1916  8 20    12.4    12.3    12.3 1
-1916  8 21     9.5     9.4     9.4 1
-1916  8 22    12.8    12.7    12.7 1
-1916  8 23    14.6    14.5    14.5 1
-1916  8 24    13.6    13.5    13.5 1
-1916  8 25    11.7    11.6    11.6 1
-1916  8 26    11.9    11.9    11.9 1
-1916  8 27    12.5    12.5    12.5 1
-1916  8 28    12.6    12.6    12.6 1
-1916  8 29    11.5    11.5    11.5 1
-1916  8 30    12.7    12.7    12.7 1
-1916  8 31    13.2    13.2    13.2 1
-1916  9  1    13.4    13.4    13.4 1
-1916  9  2    13.8    13.8    13.8 1
-1916  9  3    12.1    12.1    12.1 1
-1916  9  4    11.2    11.2    11.2 1
-1916  9  5    12.3    12.3    12.3 1
-1916  9  6    12.6    12.6    12.6 1
-1916  9  7    14.5    14.5    14.5 1
-1916  9  8    12.2    12.3    12.3 1
-1916  9  9    15.0    15.1    15.1 1
-1916  9 10    13.5    13.6    13.6 1
-1916  9 11    12.4    12.5    12.5 1
-1916  9 12    12.9    13.0    13.0 1
-1916  9 13    10.8    10.9    10.9 1
-1916  9 14     9.0     9.1     9.1 1
-1916  9 15     7.4     7.5     7.5 1
-1916  9 16     6.0     6.1     6.1 1
-1916  9 17     7.0     7.1     7.1 1
-1916  9 18     9.6     9.7     9.7 1
-1916  9 19    11.4    11.5    11.5 1
-1916  9 20     8.5     8.6     8.6 1
-1916  9 21     5.3     5.4     5.4 1
-1916  9 22     4.6     4.7     4.7 1
-1916  9 23     9.7     9.8     9.8 1
-1916  9 24    10.7    10.8    10.8 1
-1916  9 25    10.0    10.1    10.1 1
-1916  9 26     7.7     7.8     7.8 1
-1916  9 27     4.9     5.0     5.0 1
-1916  9 28     7.9     8.0     8.0 1
-1916  9 29     4.8     4.9     4.9 1
-1916  9 30     2.8     2.9     2.9 1
-1916 10  1     2.9     3.0     3.0 1
-1916 10  2     2.4     2.5     2.5 1
-1916 10  3     1.9     2.0     2.0 1
-1916 10  4     7.5     7.6     7.6 1
-1916 10  5     6.0     6.1     6.1 1
-1916 10  6     5.2     5.3     5.3 1
-1916 10  7     8.4     8.5     8.5 1
-1916 10  8     9.8     9.9     9.9 1
-1916 10  9     7.6     7.7     7.7 1
-1916 10 10     9.4     9.5     9.5 1
-1916 10 11     7.8     7.9     7.9 1
-1916 10 12     6.8     6.9     6.9 1
-1916 10 13     8.4     8.5     8.5 1
-1916 10 14     5.8     5.9     5.9 1
-1916 10 15    11.4    11.5    11.5 1
-1916 10 16     5.0     5.1     5.1 1
-1916 10 17     0.6     0.7     0.7 1
-1916 10 18     0.2     0.3     0.3 1
-1916 10 19     1.1     1.2     1.2 1
-1916 10 20     1.2     1.3     1.3 1
-1916 10 21     0.8     0.9     0.9 1
-1916 10 22     0.0     0.1     0.1 1
-1916 10 23     2.6     2.6     2.6 1
-1916 10 24     5.1     5.1     5.1 1
-1916 10 25     5.3     5.3     5.3 1
-1916 10 26     6.9     6.9     6.9 1
-1916 10 27     6.3     6.3     6.3 1
-1916 10 28     5.2     5.2     5.2 1
-1916 10 29     5.5     5.5     5.5 1
-1916 10 30     6.7     6.7     6.7 1
-1916 10 31     7.7     7.7     7.7 1
-1916 11  1     8.0     8.0     8.0 1
-1916 11  2     7.8     7.8     7.8 1
-1916 11  3     5.7     5.7     5.7 1
-1916 11  4     6.3     6.3     6.3 1
-1916 11  5     7.3     7.3     7.3 1
-1916 11  6     7.8     7.8     7.8 1
-1916 11  7     6.6     6.6     6.6 1
-1916 11  8     8.0     8.0     8.0 1
-1916 11  9     7.8     7.7     7.7 1
-1916 11 10     6.0     5.9     5.9 1
-1916 11 11     6.8     6.7     6.7 1
-1916 11 12     6.9     6.8     6.8 1
-1916 11 13     3.8     3.7     3.7 1
-1916 11 14    -0.2    -0.3    -0.3 1
-1916 11 15    -2.2    -2.3    -2.3 1
-1916 11 16    -3.5    -3.6    -3.6 1
-1916 11 17    -0.7    -0.8    -0.8 1
-1916 11 18     0.6     0.5     0.5 1
-1916 11 19     1.6     1.5     1.5 1
-1916 11 20     1.1     1.0     1.0 1
-1916 11 21     2.8     2.7     2.7 1
-1916 11 22     4.0     3.9     3.9 1
-1916 11 23     4.4     4.3     4.3 1
-1916 11 24     6.1     6.0     6.0 1
-1916 11 25     6.4     6.3     6.3 1
-1916 11 26     5.6     5.5     5.5 1
-1916 11 27     3.9     3.8     3.8 1
-1916 11 28     1.6     1.5     1.5 1
-1916 11 29     6.4     6.3     6.3 1
-1916 11 30     6.7     6.6     6.6 1
-1916 12  1     2.3     2.2     2.2 1
-1916 12  2     1.7     1.6     1.6 1
-1916 12  3     2.9     2.8     2.8 1
-1916 12  4     4.0     3.9     3.9 1
-1916 12  5     1.4     1.3     1.3 1
-1916 12  6     1.9     1.8     1.8 1
-1916 12  7     1.4     1.3     1.3 1
-1916 12  8     3.3     3.2     3.2 1
-1916 12  9     4.0     3.9     3.9 1
-1916 12 10     1.3     1.2     1.2 1
-1916 12 11     2.8     2.7     2.7 1
-1916 12 12     2.6     2.5     2.5 1
-1916 12 13     2.5     2.4     2.4 1
-1916 12 14     3.0     2.9     2.9 1
-1916 12 15     0.9     0.8     0.8 1
-1916 12 16    -0.6    -0.7    -0.7 1
-1916 12 17    -0.5    -0.6    -0.6 1
-1916 12 18    -0.3    -0.4    -0.4 1
-1916 12 19    -1.4    -1.5    -1.5 1
-1916 12 20     0.0    -0.1    -0.1 1
-1916 12 21    -0.1    -0.2    -0.2 1
-1916 12 22     0.4     0.2     0.2 1
-1916 12 23     0.7     0.5     0.5 1
-1916 12 24    -0.7    -0.9    -0.9 1
-1916 12 25    -8.3    -8.5    -8.5 1
-1916 12 26   -10.8   -11.0   -11.0 1
-1916 12 27   -12.7   -12.9   -12.9 1
-1916 12 28   -11.8   -12.0   -12.0 1
-1916 12 29    -2.6    -2.8    -2.8 1
-1916 12 30    -3.1    -3.3    -3.3 1
-1916 12 31    -0.6    -0.8    -0.8 1
-1917  1  1    -9.0    -9.3    -9.3 1
-1917  1  2    -5.3    -5.6    -5.6 1
-1917  1  3    -9.9   -10.2   -10.2 1
-1917  1  4    -7.9    -8.2    -8.2 1
-1917  1  5   -12.0   -12.3   -12.3 1
-1917  1  6   -12.6   -12.9   -12.9 1
-1917  1  7    -7.8    -8.1    -8.1 1
-1917  1  8    -1.5    -1.8    -1.8 1
-1917  1  9    -2.6    -2.9    -2.9 1
-1917  1 10    -4.6    -4.9    -4.9 1
-1917  1 11    -8.0    -8.4    -8.4 1
-1917  1 12    -9.9   -10.3   -10.3 1
-1917  1 13    -2.6    -3.0    -3.0 1
-1917  1 14    -2.6    -3.0    -3.0 1
-1917  1 15    -9.0    -9.4    -9.4 1
-1917  1 16   -11.7   -12.1   -12.1 1
-1917  1 17   -10.7   -11.1   -11.1 1
-1917  1 18    -8.6    -9.0    -9.0 1
-1917  1 19   -14.0   -14.4   -14.4 1
-1917  1 20   -14.5   -14.9   -14.9 1
-1917  1 21   -12.8   -13.2   -13.2 1
-1917  1 22   -12.0   -12.4   -12.4 1
-1917  1 23    -5.3    -5.7    -5.7 1
-1917  1 24    -6.0    -6.4    -6.4 1
-1917  1 25    -2.9    -3.3    -3.3 1
-1917  1 26    -3.9    -4.2    -4.2 1
-1917  1 27    -6.3    -6.6    -6.6 1
-1917  1 28    -8.9    -9.2    -9.2 1
-1917  1 29    -4.9    -5.2    -5.2 1
-1917  1 30    -5.8    -6.1    -6.1 1
-1917  1 31    -5.8    -6.1    -6.1 1
-1917  2  1   -10.0   -10.3   -10.3 1
-1917  2  2   -13.4   -13.7   -13.7 1
-1917  2  3    -6.7    -7.0    -7.0 1
-1917  2  4    -7.8    -8.1    -8.1 1
-1917  2  5    -7.9    -8.2    -8.2 1
-1917  2  6    -9.5    -9.8    -9.8 1
-1917  2  7   -12.7   -13.0   -13.0 1
-1917  2  8    -1.5    -1.8    -1.8 1
-1917  2  9     2.6     2.3     2.3 1
-1917  2 10     0.6     0.3     0.3 1
-1917  2 11    -2.9    -3.2    -3.2 1
-1917  2 12    -5.1    -5.4    -5.4 1
-1917  2 13    -4.5    -4.8    -4.8 1
-1917  2 14    -1.7    -2.0    -2.0 1
-1917  2 15    -0.3    -0.6    -0.6 1
-1917  2 16    -1.9    -2.2    -2.2 1
-1917  2 17    -5.1    -5.4    -5.4 1
-1917  2 18    -7.3    -7.6    -7.6 1
-1917  2 19    -5.7    -6.0    -6.0 1
-1917  2 20   -11.4   -11.7   -11.7 1
-1917  2 21    -5.6    -5.9    -5.9 1
-1917  2 22   -10.5   -10.8   -10.8 1
-1917  2 23    -5.7    -6.0    -6.0 1
-1917  2 24    -0.5    -0.8    -0.8 1
-1917  2 25     0.1    -0.2    -0.2 1
-1917  2 26     0.8     0.5     0.5 1
-1917  2 27    -0.7    -1.0    -1.0 1
-1917  2 28    -4.0    -4.3    -4.3 1
-1917  3  1    -3.8    -4.1    -4.1 1
-1917  3  2    -3.7    -4.0    -4.0 1
-1917  3  3    -7.3    -7.6    -7.6 1
-1917  3  4   -11.3   -11.6   -11.6 1
-1917  3  5   -10.7   -11.0   -11.0 1
-1917  3  6    -9.8   -10.1   -10.1 1
-1917  3  7   -11.2   -11.5   -11.5 1
-1917  3  8    -7.9    -8.2    -8.2 1
-1917  3  9    -6.1    -6.4    -6.4 1
-1917  3 10    -8.3    -8.6    -8.6 1
-1917  3 11    -9.0    -9.4    -9.4 1
-1917  3 12    -6.9    -7.3    -7.3 1
-1917  3 13    -6.7    -7.1    -7.1 1
-1917  3 14    -8.2    -8.6    -8.6 1
-1917  3 15    -5.9    -6.3    -6.3 1
-1917  3 16    -6.7    -7.1    -7.1 1
-1917  3 17    -5.8    -6.2    -6.2 1
-1917  3 18    -1.2    -1.6    -1.6 1
-1917  3 19    -5.7    -6.0    -6.0 1
-1917  3 20   -12.7   -13.0   -13.0 1
-1917  3 21   -10.0   -10.3   -10.3 1
-1917  3 22   -10.4   -10.7   -10.7 1
-1917  3 23    -7.4    -7.7    -7.7 1
-1917  3 24     1.5     1.2     1.2 1
-1917  3 25     2.2     1.9     1.9 1
-1917  3 26     1.8     1.5     1.5 1
-1917  3 27    -5.4    -5.7    -5.7 1
-1917  3 28    -1.9    -2.2    -2.2 1
-1917  3 29     0.1    -0.2    -0.2 1
-1917  3 30     0.2    -0.1    -0.1 1
-1917  3 31     0.8     0.5     0.5 1
-1917  4  1     1.0     0.7     0.7 1
-1917  4  2    -1.1    -1.4    -1.4 1
-1917  4  3    -2.5    -2.8    -2.8 1
-1917  4  4    -2.6    -2.9    -2.9 1
-1917  4  5    -1.5    -1.8    -1.8 1
-1917  4  6    -0.6    -0.9    -0.9 1
-1917  4  7     0.2    -0.1    -0.1 1
-1917  4  8     0.6     0.4     0.4 1
-1917  4  9    -0.6    -0.8    -0.8 1
-1917  4 10     0.1    -0.1    -0.1 1
-1917  4 11     0.7     0.5     0.5 1
-1917  4 12     1.6     1.4     1.4 1
-1917  4 13     1.8     1.6     1.6 1
-1917  4 14     2.3     2.1     2.1 1
-1917  4 15     2.7     2.5     2.5 1
-1917  4 16     3.2     3.0     3.0 1
-1917  4 17     0.7     0.5     0.5 1
-1917  4 18     1.1     0.9     0.9 1
-1917  4 19     1.8     1.5     1.5 1
-1917  4 20     1.9     1.6     1.6 1
-1917  4 21     1.4     1.1     1.1 1
-1917  4 22     1.5     1.2     1.2 1
-1917  4 23     4.5     4.2     4.2 1
-1917  4 24     5.9     5.6     5.6 1
-1917  4 25     1.4     1.1     1.1 1
-1917  4 26     1.0     0.7     0.7 1
-1917  4 27     0.1    -0.2    -0.2 1
-1917  4 28    -1.3    -1.7    -1.7 1
-1917  4 29     0.2    -0.2    -0.2 1
-1917  4 30     0.8     0.4     0.4 1
-1917  5  1     3.6     3.2     3.2 1
-1917  5  2     4.5     4.1     4.1 1
-1917  5  3     3.4     3.0     3.0 1
-1917  5  4     8.1     7.7     7.7 1
-1917  5  5     7.4     7.0     7.0 1
-1917  5  6     3.7     3.3     3.3 1
-1917  5  7     3.2     2.7     2.7 1
-1917  5  8     3.2     2.7     2.7 1
-1917  5  9     3.7     3.2     3.2 1
-1917  5 10     2.8     2.3     2.3 1
-1917  5 11     6.2     5.7     5.7 1
-1917  5 12     5.3     4.8     4.8 1
-1917  5 13     7.8     7.3     7.3 1
-1917  5 14     8.1     7.6     7.6 1
-1917  5 15    11.3    10.8    10.8 1
-1917  5 16     6.3     5.8     5.8 1
-1917  5 17     5.3     4.8     4.8 1
-1917  5 18     7.8     7.3     7.3 1
-1917  5 19    10.4     9.9     9.9 1
-1917  5 20     2.8     2.3     2.3 1
-1917  5 21     5.2     4.7     4.7 1
-1917  5 22    12.5    12.0    12.0 1
-1917  5 23    16.2    15.7    15.7 1
-1917  5 24    16.8    16.3    16.3 1
-1917  5 25    12.2    11.7    11.7 1
-1917  5 26    12.7    12.2    12.2 1
-1917  5 27    18.3    17.8    17.8 1
-1917  5 28    18.8    18.3    18.3 1
-1917  5 29    19.7    19.2    19.2 1
-1917  5 30    19.2    18.7    18.7 1
-1917  5 31    15.8    15.3    15.3 1
-1917  6  1    15.3    14.8    14.8 1
-1917  6  2    16.0    15.5    15.5 1
-1917  6  3    13.7    13.2    13.2 1
-1917  6  4    15.0    14.5    14.5 1
-1917  6  5    14.3    13.9    13.9 1
-1917  6  6    12.2    11.8    11.8 1
-1917  6  7     8.5     8.1     8.1 1
-1917  6  8    11.9    11.5    11.5 1
-1917  6  9    15.3    14.9    14.9 1
-1917  6 10    18.7    18.3    18.3 1
-1917  6 11    18.6    18.2    18.2 1
-1917  6 12    20.0    19.6    19.6 1
-1917  6 13    19.9    19.5    19.5 1
-1917  6 14    19.5    19.1    19.1 1
-1917  6 15    22.1    21.7    21.7 1
-1917  6 16    22.2    21.8    21.8 1
-1917  6 17    24.2    23.8    23.8 1
-1917  6 18    23.3    22.9    22.9 1
-1917  6 19    23.6    23.2    23.2 1
-1917  6 20    23.5    23.1    23.1 1
-1917  6 21    25.1    24.7    24.7 1
-1917  6 22    22.6    22.2    22.2 1
-1917  6 23    16.1    15.7    15.7 1
-1917  6 24    16.9    16.5    16.5 1
-1917  6 25    16.7    16.3    16.3 1
-1917  6 26    18.8    18.4    18.4 1
-1917  6 27    17.4    17.0    17.0 1
-1917  6 28    17.1    16.7    16.7 1
-1917  6 29    19.1    18.7    18.7 1
-1917  6 30    14.9    14.5    14.5 1
-1917  7  1    15.0    14.6    14.6 1
-1917  7  2    15.9    15.5    15.5 1
-1917  7  3    17.6    17.2    17.2 1
-1917  7  4    15.1    14.7    14.7 1
-1917  7  5    12.0    11.6    11.6 1
-1917  7  6    10.5    10.1    10.1 1
-1917  7  7    11.3    10.9    10.9 1
-1917  7  8    13.5    13.1    13.1 1
-1917  7  9    14.9    14.5    14.5 1
-1917  7 10    15.7    15.3    15.3 1
-1917  7 11    17.8    17.4    17.4 1
-1917  7 12    19.2    18.8    18.8 1
-1917  7 13    19.4    19.0    19.0 1
-1917  7 14    20.7    20.3    20.3 1
-1917  7 15    20.5    20.1    20.1 1
-1917  7 16    16.3    15.9    15.9 1
-1917  7 17    17.9    17.5    17.5 1
-1917  7 18    18.6    18.2    18.2 1
-1917  7 19    19.8    19.4    19.4 1
-1917  7 20    16.2    15.9    15.9 1
-1917  7 21    17.0    16.7    16.7 1
-1917  7 22    15.1    14.8    14.8 1
-1917  7 23    11.8    11.5    11.5 1
-1917  7 24    12.3    12.0    12.0 1
-1917  7 25    15.0    14.7    14.7 1
-1917  7 26    16.3    16.0    16.0 1
-1917  7 27    18.2    17.9    17.9 1
-1917  7 28    18.0    17.7    17.7 1
-1917  7 29    17.0    16.7    16.7 1
-1917  7 30    17.4    17.1    17.1 1
-1917  7 31    17.1    16.8    16.8 1
-1917  8  1    19.3    19.0    19.0 1
-1917  8  2    20.6    20.4    20.4 1
-1917  8  3    19.8    19.6    19.6 1
-1917  8  4    21.8    21.6    21.6 1
-1917  8  5    16.9    16.7    16.7 1
-1917  8  6    15.3    15.1    15.1 1
-1917  8  7    13.5    13.3    13.3 1
-1917  8  8    13.0    12.8    12.8 1
-1917  8  9    17.3    17.1    17.1 1
-1917  8 10    18.9    18.7    18.7 1
-1917  8 11    19.0    18.8    18.8 1
-1917  8 12    16.7    16.5    16.5 1
-1917  8 13    18.3    18.1    18.1 1
-1917  8 14    19.2    19.0    19.0 1
-1917  8 15    17.7    17.6    17.6 1
-1917  8 16    17.8    17.7    17.7 1
-1917  8 17    18.0    17.9    17.9 1
-1917  8 18    17.9    17.8    17.8 1
-1917  8 19    17.4    17.3    17.3 1
-1917  8 20    16.4    16.3    16.3 1
-1917  8 21    16.3    16.2    16.2 1
-1917  8 22    16.4    16.3    16.3 1
-1917  8 23    17.0    16.9    16.9 1
-1917  8 24    18.7    18.6    18.6 1
-1917  8 25    17.5    17.4    17.4 1
-1917  8 26    15.3    15.2    15.2 1
-1917  8 27    15.7    15.6    15.6 1
-1917  8 28    17.7    17.7    17.7 1
-1917  8 29    16.1    16.1    16.1 1
-1917  8 30    15.8    15.8    15.8 1
-1917  8 31    15.2    15.2    15.2 1
-1917  9  1    14.2    14.2    14.2 1
-1917  9  2    15.1    15.1    15.1 1
-1917  9  3    14.3    14.3    14.3 1
-1917  9  4    13.1    13.1    13.1 1
-1917  9  5    11.2    11.2    11.2 1
-1917  9  6    10.9    10.9    10.9 1
-1917  9  7    14.4    14.4    14.4 1
-1917  9  8    14.7    14.7    14.7 1
-1917  9  9    13.8    13.9    13.9 1
-1917  9 10    12.9    13.0    13.0 1
-1917  9 11    13.4    13.5    13.5 1
-1917  9 12    13.1    13.2    13.2 1
-1917  9 13    10.4    10.5    10.5 1
-1917  9 14    10.6    10.7    10.7 1
-1917  9 15     9.3     9.4     9.4 1
-1917  9 16    11.3    11.4    11.4 1
-1917  9 17    12.3    12.4    12.4 1
-1917  9 18    13.2    13.3    13.3 1
-1917  9 19    11.4    11.5    11.5 1
-1917  9 20    11.3    11.4    11.4 1
-1917  9 21    12.0    12.1    12.1 1
-1917  9 22    11.1    11.2    11.2 1
-1917  9 23    11.9    12.0    12.0 1
-1917  9 24     9.1     9.2     9.2 1
-1917  9 25    14.5    14.6    14.6 1
-1917  9 26    15.5    15.6    15.6 1
-1917  9 27    13.3    13.4    13.4 1
-1917  9 28    14.4    14.5    14.5 1
-1917  9 29     8.5     8.6     8.6 1
-1917  9 30     5.4     5.5     5.5 1
-1917 10  1     8.6     8.7     8.7 1
-1917 10  2    12.5    12.6    12.6 1
-1917 10  3    13.4    13.5    13.5 1
-1917 10  4    10.4    10.5    10.5 1
-1917 10  5     8.5     8.6     8.6 1
-1917 10  6     6.4     6.5     6.5 1
-1917 10  7     5.0     5.1     5.1 1
-1917 10  8     5.5     5.6     5.6 1
-1917 10  9     7.1     7.2     7.2 1
-1917 10 10     8.0     8.1     8.1 1
-1917 10 11     7.0     7.1     7.1 1
-1917 10 12     6.7     6.8     6.8 1
-1917 10 13     8.3     8.4     8.4 1
-1917 10 14     8.4     8.5     8.5 1
-1917 10 15     6.8     6.9     6.9 1
-1917 10 16     5.7     5.8     5.8 1
-1917 10 17     7.9     8.0     8.0 1
-1917 10 18     8.2     8.3     8.3 1
-1917 10 19     8.6     8.7     8.7 1
-1917 10 20     7.3     7.4     7.4 1
-1917 10 21     7.6     7.7     7.7 1
-1917 10 22     8.0     8.0     8.0 1
-1917 10 23     7.7     7.7     7.7 1
-1917 10 24     7.4     7.4     7.4 1
-1917 10 25     5.5     5.5     5.5 1
-1917 10 26     5.8     5.8     5.8 1
-1917 10 27     4.2     4.2     4.2 1
-1917 10 28     4.0     4.0     4.0 1
-1917 10 29     3.4     3.4     3.4 1
-1917 10 30     4.1     4.1     4.1 1
-1917 10 31     6.8     6.8     6.8 1
-1917 11  1     6.1     6.1     6.1 1
-1917 11  2     5.2     5.2     5.2 1
-1917 11  3     3.3     3.3     3.3 1
-1917 11  4     0.3     0.3     0.3 1
-1917 11  5     1.4     1.4     1.4 1
-1917 11  6     6.0     6.0     6.0 1
-1917 11  7     5.8     5.8     5.8 1
-1917 11  8     6.4     6.3     6.3 1
-1917 11  9     3.9     3.8     3.8 1
-1917 11 10     5.6     5.5     5.5 1
-1917 11 11     4.3     4.2     4.2 1
-1917 11 12     1.6     1.5     1.5 1
-1917 11 13     2.6     2.5     2.5 1
-1917 11 14     5.6     5.5     5.5 1
-1917 11 15     2.4     2.3     2.3 1
-1917 11 16     1.3     1.2     1.2 1
-1917 11 17     1.7     1.6     1.6 1
-1917 11 18     5.5     5.4     5.4 1
-1917 11 19     3.9     3.8     3.8 1
-1917 11 20     3.9     3.8     3.8 1
-1917 11 21     0.2     0.1     0.1 1
-1917 11 22     1.1     1.0     1.0 1
-1917 11 23     1.9     1.8     1.8 1
-1917 11 24     0.1     0.0     0.0 1
-1917 11 25    -2.4    -2.5    -2.5 1
-1917 11 26    -3.9    -4.0    -4.0 1
-1917 11 27     2.2     2.1     2.1 1
-1917 11 28    -2.0    -2.1    -2.1 1
-1917 11 29     1.3     1.2     1.2 1
-1917 11 30    -1.0    -1.1    -1.1 1
-1917 12  1     1.1     1.0     1.0 1
-1917 12  2     0.2     0.1     0.1 1
-1917 12  3    -5.5    -5.6    -5.6 1
-1917 12  4    -8.1    -8.2    -8.2 1
-1917 12  5    -5.0    -5.1    -5.1 1
-1917 12  6     2.9     2.8     2.8 1
-1917 12  7     5.9     5.8     5.8 1
-1917 12  8     4.7     4.6     4.6 1
-1917 12  9     1.7     1.6     1.6 1
-1917 12 10     1.3     1.2     1.2 1
-1917 12 11     1.8     1.7     1.7 1
-1917 12 12     1.3     1.2     1.2 1
-1917 12 13     2.4     2.3     2.3 1
-1917 12 14    -0.5    -0.6    -0.6 1
-1917 12 15    -3.3    -3.4    -3.4 1
-1917 12 16    -7.2    -7.3    -7.3 1
-1917 12 17    -6.0    -6.1    -6.1 1
-1917 12 18    -5.4    -5.5    -5.5 1
-1917 12 19    -0.5    -0.6    -0.6 1
-1917 12 20    -0.1    -0.2    -0.2 1
-1917 12 21    -2.5    -2.7    -2.7 1
-1917 12 22   -10.4   -10.6   -10.6 1
-1917 12 23    -2.7    -2.9    -2.9 1
-1917 12 24    -2.6    -2.8    -2.8 1
-1917 12 25    -7.5    -7.7    -7.7 1
-1917 12 26    -2.8    -3.0    -3.0 1
-1917 12 27    -6.8    -7.0    -7.0 1
-1917 12 28    -8.6    -8.8    -8.8 1
-1917 12 29    -4.1    -4.3    -4.3 1
-1917 12 30    -2.8    -3.0    -3.0 1
-1917 12 31    -1.0    -1.3    -1.3 1
-1918  1  1    -2.6    -2.9    -2.9 1
-1918  1  2    -6.4    -6.7    -6.7 1
-1918  1  3   -10.1   -10.4   -10.4 1
-1918  1  4   -13.4   -13.7   -13.7 1
-1918  1  5    -4.8    -5.1    -5.1 1
-1918  1  6   -10.0   -10.3   -10.3 1
-1918  1  7    -6.7    -7.0    -7.0 1
-1918  1  8   -10.8   -11.1   -11.1 1
-1918  1  9   -17.3   -17.6   -17.6 1
-1918  1 10    -6.9    -7.3    -7.3 1
-1918  1 11    -6.1    -6.5    -6.5 1
-1918  1 12   -11.8   -12.2   -12.2 1
-1918  1 13   -15.7   -16.1   -16.1 1
-1918  1 14   -16.9   -17.3   -17.3 1
-1918  1 15    -3.1    -3.5    -3.5 1
-1918  1 16    -6.8    -7.2    -7.2 1
-1918  1 17   -10.9   -11.3   -11.3 1
-1918  1 18   -12.2   -12.6   -12.6 1
-1918  1 19    -8.3    -8.7    -8.7 1
-1918  1 20    -3.7    -4.1    -4.1 1
-1918  1 21     3.8     3.4     3.4 1
-1918  1 22     2.0     1.6     1.6 1
-1918  1 23    -1.8    -2.2    -2.2 1
-1918  1 24    -3.2    -3.6    -3.6 1
-1918  1 25     2.6     2.2     2.2 1
-1918  1 26     3.4     3.0     3.0 1
-1918  1 27     3.4     3.0     3.0 1
-1918  1 28     3.0     2.7     2.7 1
-1918  1 29     3.0     2.7     2.7 1
-1918  1 30     2.2     1.9     1.9 1
-1918  1 31     1.4     1.1     1.1 1
-1918  2  1     2.0     1.7     1.7 1
-1918  2  2     1.3     1.0     1.0 1
-1918  2  3    -1.3    -1.6    -1.6 1
-1918  2  4    -0.6    -0.9    -0.9 1
-1918  2  5     0.2    -0.1    -0.1 1
-1918  2  6     1.5     1.2     1.2 1
-1918  2  7     0.9     0.6     0.6 1
-1918  2  8    -0.5    -0.8    -0.8 1
-1918  2  9     0.5     0.2     0.2 1
-1918  2 10     1.3     1.0     1.0 1
-1918  2 11    -0.4    -0.7    -0.7 1
-1918  2 12    -1.0    -1.3    -1.3 1
-1918  2 13    -3.6    -3.9    -3.9 1
-1918  2 14    -5.5    -5.8    -5.8 1
-1918  2 15    -7.2    -7.5    -7.5 1
-1918  2 16    -4.9    -5.2    -5.2 1
-1918  2 17    -5.2    -5.5    -5.5 1
-1918  2 18    -4.6    -4.9    -4.9 1
-1918  2 19    -4.4    -4.7    -4.7 1
-1918  2 20    -6.0    -6.3    -6.3 1
-1918  2 21    -7.2    -7.5    -7.5 1
-1918  2 22    -7.2    -7.5    -7.5 1
-1918  2 23    -2.1    -2.4    -2.4 1
-1918  2 24     2.3     2.0     2.0 1
-1918  2 25    -0.1    -0.4    -0.4 1
-1918  2 26     2.6     2.3     2.3 1
-1918  2 27     1.9     1.6     1.6 1
-1918  2 28    -2.5    -2.8    -2.8 1
-1918  3  1    -5.0    -5.3    -5.3 1
-1918  3  2    -6.1    -6.4    -6.4 1
-1918  3  3    -4.0    -4.3    -4.3 1
-1918  3  4    -0.9    -1.2    -1.2 1
-1918  3  5     0.2    -0.1    -0.1 1
-1918  3  6    -1.0    -1.3    -1.3 1
-1918  3  7    -1.7    -2.0    -2.0 1
-1918  3  8    -0.5    -0.9    -0.9 1
-1918  3  9     2.2     1.8     1.8 1
-1918  3 10     2.0     1.6     1.6 1
-1918  3 11     1.7     1.3     1.3 1
-1918  3 12    -1.3    -1.7    -1.7 1
-1918  3 13    -0.4    -0.8    -0.8 1
-1918  3 14     1.9     1.5     1.5 1
-1918  3 15     3.2     2.8     2.8 1
-1918  3 16    -0.3    -0.7    -0.7 1
-1918  3 17     0.9     0.5     0.5 1
-1918  3 18     2.0     1.6     1.6 1
-1918  3 19     3.1     2.7     2.7 1
-1918  3 20     3.0     2.6     2.6 1
-1918  3 21     2.2     1.9     1.9 1
-1918  3 22     5.8     5.5     5.5 1
-1918  3 23     7.8     7.5     7.5 1
-1918  3 24     2.7     2.4     2.4 1
-1918  3 25    -7.6    -7.9    -7.9 1
-1918  3 26    -6.9    -7.2    -7.2 1
-1918  3 27    -4.6    -4.9    -4.9 1
-1918  3 28     0.5     0.2     0.2 1
-1918  3 29     3.0     2.7     2.7 1
-1918  3 30     2.1     1.8     1.8 1
-1918  3 31     2.1     1.8     1.8 1
-1918  4  1    -0.3    -0.6    -0.6 1
-1918  4  2     2.0     1.7     1.7 1
-1918  4  3     5.5     5.2     5.2 1
-1918  4  4     4.2     3.9     3.9 1
-1918  4  5     0.8     0.5     0.5 1
-1918  4  6     1.5     1.2     1.2 1
-1918  4  7     1.3     1.0     1.0 1
-1918  4  8     1.6     1.3     1.3 1
-1918  4  9     2.1     1.8     1.8 1
-1918  4 10     3.3     3.0     3.0 1
-1918  4 11     3.5     3.3     3.3 1
-1918  4 12     1.9     1.7     1.7 1
-1918  4 13     9.0     8.8     8.8 1
-1918  4 14     1.2     1.0     1.0 1
-1918  4 15     0.2     0.0     0.0 1
-1918  4 16     1.6     1.4     1.4 1
-1918  4 17     3.2     3.0     3.0 1
-1918  4 18     2.3     2.0     2.0 1
-1918  4 19     4.2     3.9     3.9 1
-1918  4 20     7.1     6.8     6.8 1
-1918  4 21     6.5     6.2     6.2 1
-1918  4 22     5.1     4.8     4.8 1
-1918  4 23     6.4     6.1     6.1 1
-1918  4 24     7.6     7.3     7.3 1
-1918  4 25     8.5     8.2     8.2 1
-1918  4 26    10.3    10.0    10.0 1
-1918  4 27    12.2    11.8    11.8 1
-1918  4 28     5.9     5.5     5.5 1
-1918  4 29     0.8     0.4     0.4 1
-1918  4 30     0.4     0.0     0.0 1
-1918  5  1     5.7     5.3     5.3 1
-1918  5  2    10.4    10.0    10.0 1
-1918  5  3     4.7     4.3     4.3 1
-1918  5  4     3.1     2.7     2.7 1
-1918  5  5     7.2     6.8     6.8 1
-1918  5  6     7.0     6.5     6.5 1
-1918  5  7     4.9     4.4     4.4 1
-1918  5  8     3.9     3.4     3.4 1
-1918  5  9     5.0     4.5     4.5 1
-1918  5 10     5.1     4.6     4.6 1
-1918  5 11     4.9     4.4     4.4 1
-1918  5 12     7.4     6.9     6.9 1
-1918  5 13     9.7     9.2     9.2 1
-1918  5 14    10.2     9.7     9.7 1
-1918  5 15    10.2     9.6     9.6 1
-1918  5 16    14.8    14.2    14.2 1
-1918  5 17    17.6    17.1    17.1 1
-1918  5 18    19.0    18.5    18.5 1
-1918  5 19    16.5    16.0    16.0 1
-1918  5 20    14.1    13.6    13.6 1
-1918  5 21    14.7    14.2    14.2 1
-1918  5 22    15.6    15.1    15.1 1
-1918  5 23    11.0    10.5    10.5 1
-1918  5 24     9.2     8.7     8.7 1
-1918  5 25     8.5     8.0     8.0 1
-1918  5 26     8.2     7.7     7.7 1
-1918  5 27    12.5    12.0    12.0 1
-1918  5 28    11.4    10.9    10.9 1
-1918  5 29    15.3    14.8    14.8 1
-1918  5 30    16.7    16.2    16.2 1
-1918  5 31     9.1     8.6     8.6 1
-1918  6  1     8.9     8.4     8.4 1
-1918  6  2     5.9     5.4     5.4 1
-1918  6  3     7.0     6.5     6.5 1
-1918  6  4     8.4     7.9     7.9 1
-1918  6  5    12.9    12.4    12.4 1
-1918  6  6    15.7    15.2    15.2 1
-1918  6  7    18.5    18.0    18.0 1
-1918  6  8    17.3    16.9    16.9 1
-1918  6  9    14.6    14.2    14.2 1
-1918  6 10    13.5    13.1    13.1 1
-1918  6 11    12.9    12.5    12.5 1
-1918  6 12    11.0    10.6    10.6 1
-1918  6 13    11.4    11.0    11.0 1
-1918  6 14    11.7    11.3    11.3 1
-1918  6 15    12.8    12.4    12.4 1
-1918  6 16    12.8    12.4    12.4 1
-1918  6 17    12.0    11.6    11.6 1
-1918  6 18    10.7    10.3    10.3 1
-1918  6 19    12.4    12.0    12.0 1
-1918  6 20    14.8    14.4    14.4 1
-1918  6 21    14.9    14.5    14.5 1
-1918  6 22    14.2    13.8    13.8 1
-1918  6 23    11.3    10.9    10.9 1
-1918  6 24    11.4    11.0    11.0 1
-1918  6 25    11.8    11.4    11.4 1
-1918  6 26    10.3     9.9     9.9 1
-1918  6 27    11.7    11.3    11.3 1
-1918  6 28    12.0    11.6    11.6 1
-1918  6 29    13.0    12.6    12.6 1
-1918  6 30    15.1    14.7    14.7 1
-1918  7  1    17.9    17.5    17.5 1
-1918  7  2    19.7    19.3    19.3 1
-1918  7  3    21.0    20.6    20.6 1
-1918  7  4    21.8    21.4    21.4 1
-1918  7  5    19.0    18.6    18.6 1
-1918  7  6    15.5    15.1    15.1 1
-1918  7  7    15.6    15.2    15.2 1
-1918  7  8    14.8    14.4    14.4 1
-1918  7  9    14.0    13.6    13.6 1
-1918  7 10    17.1    16.7    16.7 1
-1918  7 11    18.4    18.0    18.0 1
-1918  7 12    16.4    16.0    16.0 1
-1918  7 13    17.9    17.5    17.5 1
-1918  7 14    14.4    14.0    14.0 1
-1918  7 15    15.6    15.2    15.2 1
-1918  7 16    15.8    15.4    15.4 1
-1918  7 17    15.8    15.4    15.4 1
-1918  7 18    16.9    16.5    16.5 1
-1918  7 19    16.8    16.4    16.4 1
-1918  7 20    17.1    16.7    16.7 1
-1918  7 21    17.8    17.4    17.4 1
-1918  7 22    16.6    16.3    16.3 1
-1918  7 23    20.3    20.0    20.0 1
-1918  7 24    18.3    18.0    18.0 1
-1918  7 25    17.4    17.1    17.1 1
-1918  7 26    16.0    15.7    15.7 1
-1918  7 27    15.5    15.2    15.2 1
-1918  7 28    17.2    16.9    16.9 1
-1918  7 29    18.1    17.8    17.8 1
-1918  7 30    16.6    16.3    16.3 1
-1918  7 31    16.3    16.0    16.0 1
-1918  8  1    14.4    14.1    14.1 1
-1918  8  2    13.3    13.0    13.0 1
-1918  8  3    14.7    14.4    14.4 1
-1918  8  4    15.2    15.0    15.0 1
-1918  8  5    16.2    16.0    16.0 1
-1918  8  6    17.3    17.1    17.1 1
-1918  8  7    17.1    16.9    16.9 1
-1918  8  8    15.3    15.1    15.1 1
-1918  8  9    18.5    18.3    18.3 1
-1918  8 10    19.2    19.0    19.0 1
-1918  8 11    18.0    17.8    17.8 1
-1918  8 12    18.2    18.0    18.0 1
-1918  8 13    18.7    18.5    18.5 1
-1918  8 14    17.8    17.6    17.6 1
-1918  8 15    17.3    17.1    17.1 1
-1918  8 16    15.9    15.7    15.7 1
-1918  8 17    13.5    13.4    13.4 1
-1918  8 18    13.0    12.9    12.9 1
-1918  8 19    13.6    13.5    13.5 1
-1918  8 20    15.1    15.0    15.0 1
-1918  8 21    15.2    15.1    15.1 1
-1918  8 22    15.4    15.3    15.3 1
-1918  8 23    16.2    16.1    16.1 1
-1918  8 24    14.6    14.5    14.5 1
-1918  8 25    12.4    12.3    12.3 1
-1918  8 26    12.1    12.0    12.0 1
-1918  8 27    13.0    12.9    12.9 1
-1918  8 28    13.6    13.5    13.5 1
-1918  8 29    14.2    14.2    14.2 1
-1918  8 30    14.4    14.4    14.4 1
-1918  8 31    13.3    13.3    13.3 1
-1918  9  1    12.2    12.2    12.2 1
-1918  9  2    13.0    13.0    13.0 1
-1918  9  3    13.0    13.0    13.0 1
-1918  9  4    10.9    10.9    10.9 1
-1918  9  5    10.1    10.1    10.1 1
-1918  9  6    12.0    12.0    12.0 1
-1918  9  7    10.2    10.2    10.2 1
-1918  9  8    13.0    13.0    13.0 1
-1918  9  9    12.4    12.4    12.4 1
-1918  9 10    11.7    11.8    11.8 1
-1918  9 11    11.7    11.8    11.8 1
-1918  9 12    11.0    11.1    11.1 1
-1918  9 13    10.5    10.6    10.6 1
-1918  9 14     9.8     9.9     9.9 1
-1918  9 15     8.1     8.2     8.2 1
-1918  9 16     8.3     8.4     8.4 1
-1918  9 17     8.8     8.9     8.9 1
-1918  9 18    13.3    13.4    13.4 1
-1918  9 19    13.5    13.6    13.6 1
-1918  9 20    10.7    10.8    10.8 1
-1918  9 21     9.0     9.1     9.1 1
-1918  9 22    10.0    10.1    10.1 1
-1918  9 23    12.8    12.9    12.9 1
-1918  9 24    11.1    11.2    11.2 1
-1918  9 25    11.1    11.2    11.2 1
-1918  9 26     9.8     9.9     9.9 1
-1918  9 27     8.2     8.3     8.3 1
-1918  9 28     9.1     9.2     9.2 1
-1918  9 29     6.1     6.2     6.2 1
-1918  9 30     6.4     6.5     6.5 1
-1918 10  1     5.5     5.6     5.6 1
-1918 10  2     5.2     5.3     5.3 1
-1918 10  3     8.0     8.1     8.1 1
-1918 10  4     7.9     8.0     8.0 1
-1918 10  5     8.0     8.1     8.1 1
-1918 10  6     9.7     9.8     9.8 1
-1918 10  7     9.6     9.7     9.7 1
-1918 10  8     9.0     9.1     9.1 1
-1918 10  9     8.7     8.8     8.8 1
-1918 10 10     9.7     9.8     9.8 1
-1918 10 11     8.7     8.8     8.8 1
-1918 10 12     9.2     9.3     9.3 1
-1918 10 13    11.5    11.6    11.6 1
-1918 10 14    10.2    10.3    10.3 1
-1918 10 15     9.0     9.1     9.1 1
-1918 10 16    10.6    10.7    10.7 1
-1918 10 17    12.0    12.1    12.1 1
-1918 10 18    11.5    11.6    11.6 1
-1918 10 19     8.2     8.3     8.3 1
-1918 10 20     6.4     6.5     6.5 1
-1918 10 21     3.4     3.4     3.4 1
-1918 10 22     5.1     5.1     5.1 1
-1918 10 23     8.2     8.2     8.2 1
-1918 10 24     5.4     5.4     5.4 1
-1918 10 25     6.4     6.4     6.4 1
-1918 10 26     5.0     5.0     5.0 1
-1918 10 27     4.4     4.4     4.4 1
-1918 10 28     3.1     3.1     3.1 1
-1918 10 29     5.9     5.9     5.9 1
-1918 10 30     8.4     8.4     8.4 1
-1918 10 31     7.7     7.7     7.7 1
-1918 11  1     8.7     8.7     8.7 1
-1918 11  2     8.0     8.0     8.0 1
-1918 11  3     6.4     6.4     6.4 1
-1918 11  4     7.4     7.4     7.4 1
-1918 11  5     8.3     8.3     8.3 1
-1918 11  6     7.8     7.8     7.8 1
-1918 11  7     7.1     7.0     7.0 1
-1918 11  8     7.7     7.6     7.6 1
-1918 11  9     6.7     6.6     6.6 1
-1918 11 10     5.0     4.9     4.9 1
-1918 11 11     5.7     5.6     5.6 1
-1918 11 12     1.9     1.8     1.8 1
-1918 11 13     1.3     1.2     1.2 1
-1918 11 14     2.9     2.8     2.8 1
-1918 11 15     2.3     2.2     2.2 1
-1918 11 16     2.0     1.9     1.9 1
-1918 11 17     3.6     3.5     3.5 1
-1918 11 18     0.8     0.7     0.7 1
-1918 11 19    -0.9    -1.0    -1.0 1
-1918 11 20    -4.1    -4.2    -4.2 1
-1918 11 21    -3.2    -3.3    -3.3 1
-1918 11 22     4.2     4.1     4.1 1
-1918 11 23     3.0     2.9     2.9 1
-1918 11 24     4.4     4.3     4.3 1
-1918 11 25     3.5     3.4     3.4 1
-1918 11 26     1.1     1.0     1.0 1
-1918 11 27     2.9     2.8     2.8 1
-1918 11 28     3.3     3.2     3.2 1
-1918 11 29     1.9     1.8     1.8 1
-1918 11 30     1.0     0.9     0.9 1
-1918 12  1     0.9     0.8     0.8 1
-1918 12  2     3.0     2.9     2.9 1
-1918 12  3     6.5     6.4     6.4 1
-1918 12  4     1.0     0.9     0.9 1
-1918 12  5    -1.2    -1.3    -1.3 1
-1918 12  6     3.3     3.2     3.2 1
-1918 12  7     3.3     3.2     3.2 1
-1918 12  8     2.9     2.8     2.8 1
-1918 12  9     1.9     1.8     1.8 1
-1918 12 10    -2.5    -2.6    -2.6 1
-1918 12 11    -4.4    -4.5    -4.5 1
-1918 12 12    -4.7    -4.8    -4.8 1
-1918 12 13    -7.0    -7.1    -7.1 1
-1918 12 14    -1.4    -1.5    -1.5 1
-1918 12 15     2.8     2.7     2.7 1
-1918 12 16     3.2     3.1     3.1 1
-1918 12 17    -0.4    -0.5    -0.5 1
-1918 12 18    -4.1    -4.2    -4.2 1
-1918 12 19    -2.4    -2.5    -2.5 1
-1918 12 20     1.2     1.0     1.0 1
-1918 12 21    -0.6    -0.8    -0.8 1
-1918 12 22    -7.2    -7.4    -7.4 1
-1918 12 23    -4.2    -4.4    -4.4 1
-1918 12 24    -0.4    -0.6    -0.6 1
-1918 12 25    -2.5    -2.7    -2.7 1
-1918 12 26    -3.7    -3.9    -3.9 1
-1918 12 27    -0.4    -0.6    -0.6 1
-1918 12 28     1.3     1.1     1.1 1
-1918 12 29    -0.3    -0.5    -0.5 1
-1918 12 30    -6.4    -6.7    -6.7 1
-1918 12 31    -9.0    -9.3    -9.3 1
-1919  1  1    -8.1    -8.4    -8.4 1
-1919  1  2    -5.9    -6.2    -6.2 1
-1919  1  3     0.7     0.4     0.4 1
-1919  1  4     2.3     2.0     2.0 1
-1919  1  5     2.8     2.5     2.5 1
-1919  1  6     2.9     2.6     2.6 1
-1919  1  7     3.0     2.7     2.7 1
-1919  1  8     2.3     2.0     2.0 1
-1919  1  9     2.7     2.3     2.3 1
-1919  1 10     2.4     2.0     2.0 1
-1919  1 11     0.4     0.0     0.0 1
-1919  1 12    -1.2    -1.6    -1.6 1
-1919  1 13     1.1     0.7     0.7 1
-1919  1 14    -3.6    -4.0    -4.0 1
-1919  1 15     0.4     0.0     0.0 1
-1919  1 16     1.9     1.5     1.5 1
-1919  1 17     3.0     2.6     2.6 1
-1919  1 18     1.4     1.0     1.0 1
-1919  1 19     0.8     0.4     0.4 1
-1919  1 20    -0.5    -0.9    -0.9 1
-1919  1 21    -2.6    -3.0    -3.0 1
-1919  1 22    -4.3    -4.7    -4.7 1
-1919  1 23    -5.2    -5.6    -5.6 1
-1919  1 24    -8.5    -8.9    -8.9 1
-1919  1 25    -2.6    -3.0    -3.0 1
-1919  1 26    -1.7    -2.1    -2.1 1
-1919  1 27    -2.6    -3.0    -3.0 1
-1919  1 28    -1.4    -1.8    -1.8 1
-1919  1 29    -0.6    -1.0    -1.0 1
-1919  1 30    -5.8    -6.2    -6.2 1
-1919  1 31    -8.6    -8.9    -8.9 1
-1919  2  1    -6.9    -7.2    -7.2 1
-1919  2  2    -7.2    -7.5    -7.5 1
-1919  2  3    -6.9    -7.2    -7.2 1
-1919  2  4    -9.6    -9.9    -9.9 1
-1919  2  5   -11.7   -12.0   -12.0 1
-1919  2  6   -11.9   -12.2   -12.2 1
-1919  2  7   -10.6   -10.9   -10.9 1
-1919  2  8    -8.2    -8.5    -8.5 1
-1919  2  9    -4.4    -4.7    -4.7 1
-1919  2 10     2.0     1.7     1.7 1
-1919  2 11     4.5     4.2     4.2 1
-1919  2 12     3.1     2.8     2.8 1
-1919  2 13     0.3     0.0     0.0 1
-1919  2 14     0.2    -0.1    -0.1 1
-1919  2 15    -3.4    -3.7    -3.7 1
-1919  2 16    -6.2    -6.5    -6.5 1
-1919  2 17    -2.6    -2.9    -2.9 1
-1919  2 18    -2.4    -2.7    -2.7 1
-1919  2 19    -6.3    -6.6    -6.6 1
-1919  2 20    -0.5    -0.8    -0.8 1
-1919  2 21    -0.1    -0.4    -0.4 1
-1919  2 22    -2.1    -2.4    -2.4 1
-1919  2 23    -4.6    -4.9    -4.9 1
-1919  2 24    -4.4    -4.7    -4.7 1
-1919  2 25    -4.6    -4.9    -4.9 1
-1919  2 26    -5.7    -6.0    -6.0 1
-1919  2 27    -5.1    -5.4    -5.4 1
-1919  2 28    -4.0    -4.3    -4.3 1
-1919  3  1    -2.4    -2.7    -2.7 1
-1919  3  2    -1.5    -1.8    -1.8 1
-1919  3  3     1.5     1.2     1.2 1
-1919  3  4     0.1    -0.3    -0.3 1
-1919  3  5    -0.8    -1.2    -1.2 1
-1919  3  6    -1.4    -1.8    -1.8 1
-1919  3  7     0.0    -0.4    -0.4 1
-1919  3  8    -2.0    -2.4    -2.4 1
-1919  3  9    -2.4    -2.8    -2.8 1
-1919  3 10     1.0     0.6     0.6 1
-1919  3 11     3.2     2.8     2.8 1
-1919  3 12     2.5     2.1     2.1 1
-1919  3 13    -0.5    -0.9    -0.9 1
-1919  3 14    -2.8    -3.2    -3.2 1
-1919  3 15    -3.1    -3.5    -3.5 1
-1919  3 16    -1.3    -1.7    -1.7 1
-1919  3 17    -2.8    -3.2    -3.2 1
-1919  3 18    -4.8    -5.2    -5.2 1
-1919  3 19    -5.2    -5.6    -5.6 1
-1919  3 20    -3.9    -4.3    -4.3 1
-1919  3 21    -6.3    -6.7    -6.7 1
-1919  3 22    -4.0    -4.4    -4.4 1
-1919  3 23    -4.3    -4.7    -4.7 1
-1919  3 24   -10.8   -11.1   -11.1 1
-1919  3 25    -7.8    -8.1    -8.1 1
-1919  3 26    -1.2    -1.5    -1.5 1
-1919  3 27    -0.5    -0.8    -0.8 1
-1919  3 28     1.2     0.9     0.9 1
-1919  3 29     1.4     1.1     1.1 1
-1919  3 30     0.6     0.3     0.3 1
-1919  3 31    -2.0    -2.3    -2.3 1
-1919  4  1    -1.0    -1.3    -1.3 1
-1919  4  2     2.4     2.1     2.1 1
-1919  4  3    -2.7    -3.0    -3.0 1
-1919  4  4    -0.3    -0.6    -0.6 1
-1919  4  5     1.7     1.4     1.4 1
-1919  4  6     0.3     0.0     0.0 1
-1919  4  7     1.1     0.8     0.8 1
-1919  4  8     4.2     3.9     3.9 1
-1919  4  9     2.4     2.1     2.1 1
-1919  4 10     3.2     2.9     2.9 1
-1919  4 11     5.9     5.6     5.6 1
-1919  4 12     7.9     7.6     7.6 1
-1919  4 13     5.4     5.2     5.2 1
-1919  4 14     3.2     3.0     3.0 1
-1919  4 15     3.9     3.7     3.7 1
-1919  4 16     2.9     2.6     2.6 1
-1919  4 17     3.3     3.0     3.0 1
-1919  4 18     6.8     6.5     6.5 1
-1919  4 19    10.7    10.4    10.4 1
-1919  4 20     3.0     2.7     2.7 1
-1919  4 21     1.6     1.3     1.3 1
-1919  4 22     4.6     4.3     4.3 1
-1919  4 23     6.1     5.8     5.8 1
-1919  4 24     1.9     1.6     1.6 1
-1919  4 25     1.4     1.0     1.0 1
-1919  4 26     1.9     1.5     1.5 1
-1919  4 27     2.4     2.0     2.0 1
-1919  4 28     3.9     3.5     3.5 1
-1919  4 29     5.4     5.0     5.0 1
-1919  4 30     8.1     7.7     7.7 1
-1919  5  1     6.1     5.7     5.7 1
-1919  5  2     4.9     4.5     4.5 1
-1919  5  3     8.0     7.6     7.6 1
-1919  5  4     7.6     7.1     7.1 1
-1919  5  5     6.9     6.4     6.4 1
-1919  5  6     7.0     6.5     6.5 1
-1919  5  7     9.2     8.7     8.7 1
-1919  5  8    12.1    11.6    11.6 1
-1919  5  9    11.9    11.4    11.4 1
-1919  5 10    13.4    12.9    12.9 1
-1919  5 11    11.1    10.6    10.6 1
-1919  5 12    10.8    10.3    10.3 1
-1919  5 13     5.5     4.9     4.9 1
-1919  5 14     6.3     5.7     5.7 1
-1919  5 15     6.8     6.2     6.2 1
-1919  5 16     5.2     4.6     4.6 1
-1919  5 17     4.9     4.3     4.3 1
-1919  5 18     7.3     6.7     6.7 1
-1919  5 19    10.8    10.2    10.2 1
-1919  5 20    12.8    12.2    12.2 1
-1919  5 21    15.1    14.6    14.6 1
-1919  5 22    13.4    12.9    12.9 1
-1919  5 23    12.6    12.1    12.1 1
-1919  5 24    13.4    12.9    12.9 1
-1919  5 25    14.2    13.7    13.7 1
-1919  5 26    15.6    15.1    15.1 1
-1919  5 27    14.1    13.6    13.6 1
-1919  5 28    13.4    12.9    12.9 1
-1919  5 29    11.7    11.2    11.2 1
-1919  5 30    12.1    11.6    11.6 1
-1919  5 31    15.0    14.5    14.5 1
-1919  6  1     9.7     9.2     9.2 1
-1919  6  2    10.6    10.1    10.1 1
-1919  6  3    10.0     9.5     9.5 1
-1919  6  4     8.5     8.0     8.0 1
-1919  6  5    10.6    10.1    10.1 1
-1919  6  6    13.1    12.6    12.6 1
-1919  6  7    15.0    14.5    14.5 1
-1919  6  8    15.5    15.0    15.0 1
-1919  6  9    16.5    16.0    16.0 1
-1919  6 10    14.8    14.3    14.3 1
-1919  6 11    13.6    13.2    13.2 1
-1919  6 12    12.6    12.2    12.2 1
-1919  6 13    13.4    13.0    13.0 1
-1919  6 14    11.6    11.2    11.2 1
-1919  6 15    13.4    13.0    13.0 1
-1919  6 16    16.7    16.3    16.3 1
-1919  6 17    18.0    17.6    17.6 1
-1919  6 18    15.8    15.4    15.4 1
-1919  6 19    17.6    17.2    17.2 1
-1919  6 20    16.7    16.3    16.3 1
-1919  6 21    15.9    15.5    15.5 1
-1919  6 22    13.2    12.8    12.8 1
-1919  6 23    12.8    12.4    12.4 1
-1919  6 24    15.0    14.6    14.6 1
-1919  6 25    14.5    14.1    14.1 1
-1919  6 26    11.5    11.1    11.1 1
-1919  6 27    15.7    15.3    15.3 1
-1919  6 28    15.4    15.0    15.0 1
-1919  6 29    11.7    11.3    11.3 1
-1919  6 30    14.6    14.2    14.2 1
-1919  7  1    12.5    12.1    12.1 1
-1919  7  2    15.5    15.1    15.1 1
-1919  7  3    17.5    17.1    17.1 1
-1919  7  4    19.0    18.6    18.6 1
-1919  7  5    18.2    17.8    17.8 1
-1919  7  6    16.0    15.6    15.6 1
-1919  7  7    17.2    16.8    16.8 1
-1919  7  8    18.9    18.5    18.5 1
-1919  7  9    19.4    19.0    19.0 1
-1919  7 10    21.7    21.3    21.3 1
-1919  7 11    21.8    21.4    21.4 1
-1919  7 12    21.2    20.8    20.8 1
-1919  7 13    19.9    19.5    19.5 1
-1919  7 14    15.6    15.2    15.2 1
-1919  7 15    15.7    15.3    15.3 1
-1919  7 16    20.4    20.0    20.0 1
-1919  7 17    16.3    15.9    15.9 1
-1919  7 18    15.6    15.2    15.2 1
-1919  7 19    15.7    15.3    15.3 1
-1919  7 20    18.2    17.8    17.8 1
-1919  7 21    18.8    18.4    18.4 1
-1919  7 22    19.6    19.2    19.2 1
-1919  7 23    20.4    20.0    20.0 1
-1919  7 24    20.4    20.1    20.1 1
-1919  7 25    15.5    15.2    15.2 1
-1919  7 26    15.7    15.4    15.4 1
-1919  7 27    15.4    15.1    15.1 1
-1919  7 28    17.0    16.7    16.7 1
-1919  7 29    16.2    15.9    15.9 1
-1919  7 30    17.1    16.8    16.8 1
-1919  7 31    19.1    18.8    18.8 1
-1919  8  1    15.5    15.2    15.2 1
-1919  8  2    16.3    16.0    16.0 1
-1919  8  3    14.8    14.5    14.5 1
-1919  8  4    14.8    14.5    14.5 1
-1919  8  5    14.9    14.6    14.6 1
-1919  8  6    15.6    15.4    15.4 1
-1919  8  7    13.0    12.8    12.8 1
-1919  8  8    12.1    11.9    11.9 1
-1919  8  9    12.0    11.8    11.8 1
-1919  8 10    15.4    15.2    15.2 1
-1919  8 11    15.0    14.8    14.8 1
-1919  8 12    13.4    13.2    13.2 1
-1919  8 13    16.0    15.8    15.8 1
-1919  8 14    12.6    12.4    12.4 1
-1919  8 15    13.2    13.0    13.0 1
-1919  8 16    13.2    13.0    13.0 1
-1919  8 17    15.5    15.3    15.3 1
-1919  8 18    16.2    16.1    16.1 1
-1919  8 19    15.7    15.6    15.6 1
-1919  8 20    14.8    14.7    14.7 1
-1919  8 21    13.0    12.9    12.9 1
-1919  8 22    12.4    12.3    12.3 1
-1919  8 23    11.6    11.5    11.5 1
-1919  8 24    11.0    10.9    10.9 1
-1919  8 25    10.5    10.4    10.4 1
-1919  8 26    10.9    10.8    10.8 1
-1919  8 27    13.6    13.5    13.5 1
-1919  8 28    13.8    13.7    13.7 1
-1919  8 29    14.9    14.8    14.8 1
-1919  8 30    13.6    13.6    13.6 1
-1919  8 31    12.4    12.4    12.4 1
-1919  9  1    12.4    12.4    12.4 1
-1919  9  2    13.1    13.1    13.1 1
-1919  9  3    14.3    14.3    14.3 1
-1919  9  4    15.7    15.7    15.7 1
-1919  9  5    17.1    17.1    17.1 1
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-1919  9  7    17.9    17.9    17.9 1
-1919  9  8    13.6    13.6    13.6 1
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-1919  9 24     9.7     9.8     9.8 1
-1919  9 25    10.2    10.3    10.3 1
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-1919  9 28     8.5     8.6     8.6 1
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-1921  3 28     3.1     2.7     2.7 1
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-1921  4 29     7.9     7.5     7.5 1
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-1921  5  5     6.9     6.4     6.4 1
-1921  5  6     8.0     7.5     7.5 1
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-1921  5  8    11.3    10.8    10.8 1
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-1921  5 24    14.4    13.8    13.8 1
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-1921  5 27    18.4    17.8    17.8 1
-1921  5 28    17.4    16.9    16.9 1
-1921  5 29    13.4    12.9    12.9 1
-1921  5 30    13.9    13.4    13.4 1
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-1921  6  7    16.1    15.6    15.6 1
-1921  6  8    16.2    15.7    15.7 1
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-1921  6 25    14.5    14.0    14.0 1
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-1921  7 19    17.8    17.4    17.4 1
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-1921  7 25    15.7    15.3    15.3 1
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-1921  7 28    15.5    15.2    15.2 1
-1921  7 29    17.8    17.5    17.5 1
-1921  7 30    17.2    16.9    16.9 1
-1921  7 31    15.8    15.5    15.5 1
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-1921  8 16    14.2    14.0    14.0 1
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-1921  8 20    15.5    15.3    15.3 1
-1921  8 21    16.6    16.5    16.5 1
-1921  8 22    17.7    17.6    17.6 1
-1921  8 23    18.1    18.0    18.0 1
-1921  8 24    17.6    17.5    17.5 1
-1921  8 25    17.4    17.3    17.3 1
-1921  8 26    13.9    13.8    13.8 1
-1921  8 27    12.7    12.6    12.6 1
-1921  8 28    11.8    11.7    11.7 1
-1921  8 29    13.3    13.2    13.2 1
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-1921  9  6    12.9    12.9    12.9 1
-1921  9  7    14.5    14.5    14.5 1
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-1921  9  9    15.9    15.9    15.9 1
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-1921  9 16     9.4     9.5     9.5 1
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-1921  9 19     8.3     8.4     8.4 1
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-1921  9 21    11.2    11.3    11.3 1
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-1921  9 27     7.5     7.6     7.6 1
-1921  9 28    11.5    11.6    11.6 1
-1921  9 29     7.4     7.5     7.5 1
-1921  9 30     6.5     6.6     6.6 1
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-1921 10 12     7.5     7.6     7.6 1
-1921 10 13    10.7    10.8    10.8 1
-1921 10 14     8.8     8.9     8.9 1
-1921 10 15     6.8     6.9     6.9 1
-1921 10 16    11.1    11.2    11.2 1
-1921 10 17     9.3     9.4     9.4 1
-1921 10 18    11.4    11.4    11.4 1
-1921 10 19    14.8    14.8    14.8 1
-1921 10 20     8.9     8.9     8.9 1
-1921 10 21     7.8     7.8     7.8 1
-1921 10 22     4.3     4.3     4.3 1
-1921 10 23     1.1     1.1     1.1 1
-1921 10 24     0.4     0.4     0.4 1
-1921 10 25     0.3     0.3     0.3 1
-1921 10 26     3.5     3.5     3.5 1
-1921 10 27     4.8     4.8     4.8 1
-1921 10 28     3.6     3.6     3.6 1
-1921 10 29     1.5     1.5     1.5 1
-1921 10 30    -1.2    -1.2    -1.2 1
-1921 10 31     5.4     5.4     5.4 1
-1921 11  1     5.7     5.7     5.7 1
-1921 11  2     1.1     1.1     1.1 1
-1921 11  3    -2.3    -2.4    -2.4 1
-1921 11  4    -2.8    -2.9    -2.9 1
-1921 11  5    -0.5    -0.6    -0.6 1
-1921 11  6    -3.8    -3.9    -3.9 1
-1921 11  7    -4.2    -4.3    -4.3 1
-1921 11  8    -5.1    -5.2    -5.2 1
-1921 11  9    -6.2    -6.3    -6.3 1
-1921 11 10    -2.5    -2.6    -2.6 1
-1921 11 11     0.2     0.1     0.1 1
-1921 11 12     0.6     0.5     0.5 1
-1921 11 13     1.6     1.5     1.5 1
-1921 11 14     1.7     1.6     1.6 1
-1921 11 15     0.2     0.1     0.1 1
-1921 11 16     1.2     1.1     1.1 1
-1921 11 17     1.5     1.4     1.4 1
-1921 11 18     1.8     1.7     1.7 1
-1921 11 19     0.5     0.4     0.4 1
-1921 11 20    -0.8    -0.9    -0.9 1
-1921 11 21     0.9     0.8     0.8 1
-1921 11 22     1.7     1.6     1.6 1
-1921 11 23     0.7     0.6     0.6 1
-1921 11 24     0.6     0.5     0.5 1
-1921 11 25     1.1     1.0     1.0 1
-1921 11 26     0.5     0.4     0.4 1
-1921 11 27    -0.7    -0.8    -0.8 1
-1921 11 28    -2.5    -2.6    -2.6 1
-1921 11 29    -5.3    -5.4    -5.4 1
-1921 11 30    -5.4    -5.5    -5.5 1
-1921 12  1    -4.4    -4.5    -4.5 1
-1921 12  2    -2.6    -2.7    -2.7 1
-1921 12  3    -2.2    -2.3    -2.3 1
-1921 12  4    -2.7    -2.8    -2.8 1
-1921 12  5    -0.1    -0.2    -0.2 1
-1921 12  6     0.2     0.1     0.1 1
-1921 12  7    -0.4    -0.5    -0.5 1
-1921 12  8    -0.8    -0.9    -0.9 1
-1921 12  9     0.3     0.2     0.2 1
-1921 12 10    -1.2    -1.3    -1.3 1
-1921 12 11    -0.5    -0.6    -0.6 1
-1921 12 12    -0.3    -0.4    -0.4 1
-1921 12 13    -0.7    -0.8    -0.8 1
-1921 12 14     0.9     0.8     0.8 1
-1921 12 15     0.9     0.8     0.8 1
-1921 12 16     1.1     1.0     1.0 1
-1921 12 17     2.0     1.8     1.8 1
-1921 12 18    -1.2    -1.4    -1.4 1
-1921 12 19    -6.2    -6.4    -6.4 1
-1921 12 20    -0.4    -0.6    -0.6 1
-1921 12 21     2.3     2.1     2.1 1
-1921 12 22    -0.6    -0.8    -0.8 1
-1921 12 23     2.7     2.5     2.5 1
-1921 12 24    -3.3    -3.5    -3.5 1
-1921 12 25    -7.3    -7.5    -7.5 1
-1921 12 26    -3.1    -3.3    -3.3 1
-1921 12 27     2.1     1.8     1.8 1
-1921 12 28     0.1    -0.2    -0.2 1
-1921 12 29    -0.7    -1.0    -1.0 1
-1921 12 30    -1.8    -2.1    -2.1 1
-1921 12 31     0.6     0.3     0.3 1
-1922  1  1    -1.9    -2.2    -2.2 1
-1922  1  2    -0.7    -1.0    -1.0 1
-1922  1  3    -3.7    -4.0    -4.0 1
-1922  1  4   -12.2   -12.5   -12.5 1
-1922  1  5    -7.3    -7.6    -7.6 1
-1922  1  6    -4.9    -5.3    -5.3 1
-1922  1  7    -9.5    -9.9    -9.9 1
-1922  1  8    -3.4    -3.8    -3.8 1
-1922  1  9    -2.1    -2.5    -2.5 1
-1922  1 10     0.3    -0.1    -0.1 1
-1922  1 11    -3.8    -4.2    -4.2 1
-1922  1 12    -3.7    -4.1    -4.1 1
-1922  1 13    -1.6    -2.0    -2.0 1
-1922  1 14    -4.9    -5.3    -5.3 1
-1922  1 15    -2.1    -2.5    -2.5 1
-1922  1 16    -4.5    -4.9    -4.9 1
-1922  1 17    -6.9    -7.3    -7.3 1
-1922  1 18    -6.0    -6.4    -6.4 1
-1922  1 19    -8.3    -8.7    -8.7 1
-1922  1 20    -6.0    -6.4    -6.4 1
-1922  1 21    -3.2    -3.6    -3.6 1
-1922  1 22    -2.8    -3.2    -3.2 1
-1922  1 23    -9.6   -10.0   -10.0 1
-1922  1 24   -12.4   -12.8   -12.8 1
-1922  1 25    -5.7    -6.1    -6.1 1
-1922  1 26    -8.1    -8.5    -8.5 1
-1922  1 27    -8.8    -9.2    -9.2 1
-1922  1 28    -6.8    -7.2    -7.2 1
-1922  1 29    -5.6    -6.0    -6.0 1
-1922  1 30    -4.3    -4.7    -4.7 1
-1922  1 31    -4.6    -5.0    -5.0 1
-1922  2  1    -9.5    -9.9    -9.9 1
-1922  2  2   -12.6   -13.0   -13.0 1
-1922  2  3   -16.0   -16.4   -16.4 1
-1922  2  4   -15.7   -16.1   -16.1 1
-1922  2  5   -12.5   -12.9   -12.9 1
-1922  2  6   -10.9   -11.3   -11.3 1
-1922  2  7   -12.3   -12.7   -12.7 1
-1922  2  8   -10.0   -10.3   -10.3 1
-1922  2  9    -3.4    -3.7    -3.7 1
-1922  2 10    -4.4    -4.7    -4.7 1
-1922  2 11    -0.3    -0.6    -0.6 1
-1922  2 12    -2.6    -2.9    -2.9 1
-1922  2 13    -3.8    -4.1    -4.1 1
-1922  2 14    -2.1    -2.4    -2.4 1
-1922  2 15    -2.4    -2.7    -2.7 1
-1922  2 16    -2.7    -3.0    -3.0 1
-1922  2 17    -3.4    -3.7    -3.7 1
-1922  2 18    -1.7    -2.0    -2.0 1
-1922  2 19    -1.3    -1.6    -1.6 1
-1922  2 20    -0.1    -0.4    -0.4 1
-1922  2 21    -0.9    -1.2    -1.2 1
-1922  2 22    -0.7    -1.1    -1.1 1
-1922  2 23     0.8     0.4     0.4 1
-1922  2 24     1.5     1.1     1.1 1
-1922  2 25     3.5     3.1     3.1 1
-1922  2 26     3.5     3.1     3.1 1
-1922  2 27     3.1     2.7     2.7 1
-1922  2 28     2.1     1.7     1.7 1
-1922  3  1     0.9     0.5     0.5 1
-1922  3  2     0.7     0.3     0.3 1
-1922  3  3     0.7     0.3     0.3 1
-1922  3  4     0.8     0.4     0.4 1
-1922  3  5     0.7     0.3     0.3 1
-1922  3  6     3.1     2.7     2.7 1
-1922  3  7     3.1     2.7     2.7 1
-1922  3  8     0.3    -0.1    -0.1 1
-1922  3  9    -5.8    -6.2    -6.2 1
-1922  3 10    -6.1    -6.5    -6.5 1
-1922  3 11     0.6     0.2     0.2 1
-1922  3 12     0.9     0.5     0.5 1
-1922  3 13     2.0     1.6     1.6 1
-1922  3 14     1.5     1.1     1.1 1
-1922  3 15     0.7     0.3     0.3 1
-1922  3 16     1.6     1.2     1.2 1
-1922  3 17     0.1    -0.3    -0.3 1
-1922  3 18    -2.4    -2.8    -2.8 1
-1922  3 19    -3.2    -3.6    -3.6 1
-1922  3 20    -6.6    -7.0    -7.0 1
-1922  3 21    -7.8    -8.2    -8.2 1
-1922  3 22    -3.0    -3.4    -3.4 1
-1922  3 23    -0.4    -0.8    -0.8 1
-1922  3 24    -1.2    -1.6    -1.6 1
-1922  3 25    -1.3    -1.7    -1.7 1
-1922  3 26    -0.7    -1.1    -1.1 1
-1922  3 27    -2.5    -2.9    -2.9 1
-1922  3 28    -2.9    -3.3    -3.3 1
-1922  3 29    -4.3    -4.7    -4.7 1
-1922  3 30    -2.0    -2.4    -2.4 1
-1922  3 31    -0.7    -1.0    -1.0 1
-1922  4  1    -1.3    -1.6    -1.6 1
-1922  4  2    -1.8    -2.1    -2.1 1
-1922  4  3    -0.1    -0.4    -0.4 1
-1922  4  4     0.2    -0.1    -0.1 1
-1922  4  5    -0.7    -1.0    -1.0 1
-1922  4  6    -1.8    -2.1    -2.1 1
-1922  4  7    -2.5    -2.8    -2.8 1
-1922  4  8    -3.5    -3.8    -3.8 1
-1922  4  9    -2.9    -3.2    -3.2 1
-1922  4 10    -3.0    -3.3    -3.3 1
-1922  4 11     0.3     0.0     0.0 1
-1922  4 12     1.8     1.5     1.5 1
-1922  4 13     2.9     2.6     2.6 1
-1922  4 14     5.5     5.2     5.2 1
-1922  4 15     6.1     5.8     5.8 1
-1922  4 16     9.3     9.0     9.0 1
-1922  4 17     7.0     6.7     6.7 1
-1922  4 18     6.0     5.7     5.7 1
-1922  4 19     1.2     0.9     0.9 1
-1922  4 20    -1.3    -1.6    -1.6 1
-1922  4 21     0.9     0.6     0.6 1
-1922  4 22     1.5     1.1     1.1 1
-1922  4 23     2.9     2.5     2.5 1
-1922  4 24     3.7     3.3     3.3 1
-1922  4 25     4.8     4.4     4.4 1
-1922  4 26     3.7     3.3     3.3 1
-1922  4 27     5.6     5.2     5.2 1
-1922  4 28     4.5     4.1     4.1 1
-1922  4 29     5.5     5.1     5.1 1
-1922  4 30     4.6     4.1     4.1 1
-1922  5  1     4.5     4.0     4.0 1
-1922  5  2     4.9     4.4     4.4 1
-1922  5  3     7.2     6.7     6.7 1
-1922  5  4     7.9     7.4     7.4 1
-1922  5  5     7.8     7.3     7.3 1
-1922  5  6     9.5     9.0     9.0 1
-1922  5  7     7.8     7.3     7.3 1
-1922  5  8    11.8    11.3    11.3 1
-1922  5  9     6.0     5.4     5.4 1
-1922  5 10     4.4     3.8     3.8 1
-1922  5 11     6.5     5.9     5.9 1
-1922  5 12     7.1     6.5     6.5 1
-1922  5 13     7.3     6.7     6.7 1
-1922  5 14     7.9     7.3     7.3 1
-1922  5 15     8.2     7.6     7.6 1
-1922  5 16     9.4     8.8     8.8 1
-1922  5 17    10.0     9.4     9.4 1
-1922  5 18    12.3    11.7    11.7 1
-1922  5 19    11.8    11.2    11.2 1
-1922  5 20    12.0    11.4    11.4 1
-1922  5 21    13.0    12.4    12.4 1
-1922  5 22    12.4    11.8    11.8 1
-1922  5 23    15.9    15.3    15.3 1
-1922  5 24    17.3    16.7    16.7 1
-1922  5 25    16.3    15.7    15.7 1
-1922  5 26    14.1    13.5    13.5 1
-1922  5 27    13.7    13.1    13.1 1
-1922  5 28    11.8    11.2    11.2 1
-1922  5 29    10.2     9.6     9.6 1
-1922  5 30    15.2    14.6    14.6 1
-1922  5 31    13.5    13.0    13.0 1
-1922  6  1     8.4     7.9     7.9 1
-1922  6  2     9.9     9.4     9.4 1
-1922  6  3    13.0    12.5    12.5 1
-1922  6  4    13.7    13.2    13.2 1
-1922  6  5    14.4    13.9    13.9 1
-1922  6  6    12.9    12.4    12.4 1
-1922  6  7    13.5    13.0    13.0 1
-1922  6  8    15.2    14.7    14.7 1
-1922  6  9    13.6    13.1    13.1 1
-1922  6 10    17.0    16.5    16.5 1
-1922  6 11    16.6    16.1    16.1 1
-1922  6 12    17.6    17.1    17.1 1
-1922  6 13    16.2    15.7    15.7 1
-1922  6 14    17.1    16.6    16.6 1
-1922  6 15    16.7    16.2    16.2 1
-1922  6 16    16.4    15.9    15.9 1
-1922  6 17    17.4    16.9    16.9 1
-1922  6 18    15.8    15.3    15.3 1
-1922  6 19    13.3    12.8    12.8 1
-1922  6 20    15.0    14.5    14.5 1
-1922  6 21    17.7    17.2    17.2 1
-1922  6 22    15.9    15.4    15.4 1
-1922  6 23    14.9    14.4    14.4 1
-1922  6 24    13.9    13.4    13.4 1
-1922  6 25    14.3    13.8    13.8 1
-1922  6 26    13.0    12.5    12.5 1
-1922  6 27    14.0    13.5    13.5 1
-1922  6 28    13.6    13.1    13.1 1
-1922  6 29    12.4    11.9    11.9 1
-1922  6 30    12.7    12.2    12.2 1
-1922  7  1    13.4    12.9    12.9 1
-1922  7  2    15.8    15.3    15.3 1
-1922  7  3    16.2    15.7    15.7 1
-1922  7  4    16.4    15.9    15.9 1
-1922  7  5    15.0    14.5    14.5 1
-1922  7  6    17.0    16.5    16.5 1
-1922  7  7    15.1    14.6    14.6 1
-1922  7  8    14.9    14.4    14.4 1
-1922  7  9    15.0    14.5    14.5 1
-1922  7 10    14.5    14.0    14.0 1
-1922  7 11    14.9    14.4    14.4 1
-1922  7 12    14.0    13.5    13.5 1
-1922  7 13    15.0    14.5    14.5 1
-1922  7 14    14.8    14.3    14.3 1
-1922  7 15    13.0    12.5    12.5 1
-1922  7 16    13.8    13.4    13.4 1
-1922  7 17    14.8    14.4    14.4 1
-1922  7 18    13.9    13.5    13.5 1
-1922  7 19    14.0    13.6    13.6 1
-1922  7 20    16.4    16.0    16.0 1
-1922  7 21    18.4    18.0    18.0 1
-1922  7 22    18.4    18.0    18.0 1
-1922  7 23    16.4    16.0    16.0 1
-1922  7 24    18.4    18.0    18.0 1
-1922  7 25    14.9    14.5    14.5 1
-1922  7 26    17.6    17.2    17.2 1
-1922  7 27    18.6    18.2    18.2 1
-1922  7 28    16.3    15.9    15.9 1
-1922  7 29    17.9    17.6    17.6 1
-1922  7 30    15.9    15.6    15.6 1
-1922  7 31    17.0    16.7    16.7 1
-1922  8  1    16.9    16.6    16.6 1
-1922  8  2    15.8    15.5    15.5 1
-1922  8  3    13.0    12.7    12.7 1
-1922  8  4    12.7    12.4    12.4 1
-1922  8  5    13.9    13.6    13.6 1
-1922  8  6    12.5    12.2    12.2 1
-1922  8  7    13.5    13.2    13.2 1
-1922  8  8    13.6    13.3    13.3 1
-1922  8  9    15.4    15.1    15.1 1
-1922  8 10    14.0    13.7    13.7 1
-1922  8 11    14.8    14.6    14.6 1
-1922  8 12    12.5    12.3    12.3 1
-1922  8 13    12.9    12.7    12.7 1
-1922  8 14    12.9    12.7    12.7 1
-1922  8 15    12.4    12.2    12.2 1
-1922  8 16    13.9    13.7    13.7 1
-1922  8 17    14.7    14.5    14.5 1
-1922  8 18    14.3    14.1    14.1 1
-1922  8 19    13.7    13.5    13.5 1
-1922  8 20    14.1    13.9    13.9 1
-1922  8 21    15.4    15.2    15.2 1
-1922  8 22    15.5    15.3    15.3 1
-1922  8 23    15.4    15.3    15.3 1
-1922  8 24    14.5    14.4    14.4 1
-1922  8 25    14.0    13.9    13.9 1
-1922  8 26    14.5    14.4    14.4 1
-1922  8 27    13.8    13.7    13.7 1
-1922  8 28    13.9    13.8    13.8 1
-1922  8 29    15.3    15.2    15.2 1
-1922  8 30    16.7    16.6    16.6 1
-1922  8 31    16.8    16.7    16.7 1
-1922  9  1    16.1    16.0    16.0 1
-1922  9  2    15.2    15.1    15.1 1
-1922  9  3    14.1    14.1    14.1 1
-1922  9  4    13.9    13.9    13.9 1
-1922  9  5    13.2    13.2    13.2 1
-1922  9  6    12.3    12.3    12.3 1
-1922  9  7    12.5    12.5    12.5 1
-1922  9  8    12.8    12.8    12.8 1
-1922  9  9    11.3    11.3    11.3 1
-1922  9 10    11.7    11.7    11.7 1
-1922  9 11    11.9    11.9    11.9 1
-1922  9 12    12.9    12.9    12.9 1
-1922  9 13    16.2    16.2    16.2 1
-1922  9 14    13.2    13.3    13.3 1
-1922  9 15    12.1    12.2    12.2 1
-1922  9 16    11.9    12.0    12.0 1
-1922  9 17    11.6    11.7    11.7 1
-1922  9 18    10.6    10.7    10.7 1
-1922  9 19     6.2     6.3     6.3 1
-1922  9 20     9.3     9.4     9.4 1
-1922  9 21     7.8     7.9     7.9 1
-1922  9 22     7.2     7.3     7.3 1
-1922  9 23     7.1     7.2     7.2 1
-1922  9 24     6.7     6.8     6.8 1
-1922  9 25     5.7     5.8     5.8 1
-1922  9 26     5.3     5.4     5.4 1
-1922  9 27     5.9     6.0     6.0 1
-1922  9 28     6.1     6.2     6.2 1
-1922  9 29     7.0     7.1     7.1 1
-1922  9 30     7.8     7.9     7.9 1
-1922 10  1     7.8     7.9     7.9 1
-1922 10  2     8.4     8.5     8.5 1
-1922 10  3     7.5     7.6     7.6 1
-1922 10  4     7.1     7.2     7.2 1
-1922 10  5     4.8     4.9     4.9 1
-1922 10  6     6.1     6.2     6.2 1
-1922 10  7     6.9     7.0     7.0 1
-1922 10  8     4.7     4.8     4.8 1
-1922 10  9     6.7     6.8     6.8 1
-1922 10 10     6.1     6.2     6.2 1
-1922 10 11     6.4     6.5     6.5 1
-1922 10 12     8.1     8.2     8.2 1
-1922 10 13     6.5     6.6     6.6 1
-1922 10 14     9.3     9.4     9.4 1
-1922 10 15     9.4     9.5     9.5 1
-1922 10 16     6.5     6.6     6.6 1
-1922 10 17     6.1     6.1     6.1 1
-1922 10 18     4.4     4.4     4.4 1
-1922 10 19     5.1     5.1     5.1 1
-1922 10 20     5.0     5.0     5.0 1
-1922 10 21     1.9     1.9     1.9 1
-1922 10 22     2.2     2.2     2.2 1
-1922 10 23    -0.6    -0.6    -0.6 1
-1922 10 24    -0.7    -0.7    -0.7 1
-1922 10 25     1.2     1.2     1.2 1
-1922 10 26     0.6     0.6     0.6 1
-1922 10 27    -2.4    -2.4    -2.4 1
-1922 10 28    -2.5    -2.5    -2.5 1
-1922 10 29     1.0     1.0     1.0 1
-1922 10 30    -0.9    -0.9    -0.9 1
-1922 10 31    -0.8    -0.8    -0.8 1
-1922 11  1     0.0     0.0     0.0 1
-1922 11  2     2.3     2.2     2.2 1
-1922 11  3     4.1     4.0     4.0 1
-1922 11  4     3.5     3.4     3.4 1
-1922 11  5     0.6     0.5     0.5 1
-1922 11  6    -0.8    -0.9    -0.9 1
-1922 11  7     3.0     2.9     2.9 1
-1922 11  8     2.7     2.6     2.6 1
-1922 11  9     0.8     0.7     0.7 1
-1922 11 10    -0.2    -0.3    -0.3 1
-1922 11 11     2.0     1.9     1.9 1
-1922 11 12     3.9     3.8     3.8 1
-1922 11 13     5.0     4.9     4.9 1
-1922 11 14     6.7     6.6     6.6 1
-1922 11 15     2.2     2.1     2.1 1
-1922 11 16     3.9     3.8     3.8 1
-1922 11 17     3.4     3.3     3.3 1
-1922 11 18    -0.1    -0.2    -0.2 1
-1922 11 19    -1.2    -1.3    -1.3 1
-1922 11 20    -2.3    -2.4    -2.4 1
-1922 11 21    -1.0    -1.1    -1.1 1
-1922 11 22     0.5     0.4     0.4 1
-1922 11 23     4.5     4.4     4.4 1
-1922 11 24     0.5     0.4     0.4 1
-1922 11 25    -1.3    -1.4    -1.4 1
-1922 11 26    -6.0    -6.1    -6.1 1
-1922 11 27    -7.2    -7.3    -7.3 1
-1922 11 28    -2.7    -2.8    -2.8 1
-1922 11 29    -3.9    -4.0    -4.0 1
-1922 11 30    -5.7    -5.8    -5.8 1
-1922 12  1     1.4     1.3     1.3 1
-1922 12  2     1.2     1.1     1.1 1
-1922 12  3    -4.2    -4.3    -4.3 1
-1922 12  4    -1.2    -1.3    -1.3 1
-1922 12  5    -1.0    -1.1    -1.1 1
-1922 12  6    -0.3    -0.4    -0.4 1
-1922 12  7    -3.5    -3.6    -3.6 1
-1922 12  8    -6.1    -6.2    -6.2 1
-1922 12  9    -7.7    -7.8    -7.8 1
-1922 12 10    -3.3    -3.4    -3.4 1
-1922 12 11     1.0     0.9     0.9 1
-1922 12 12    -1.1    -1.2    -1.2 1
-1922 12 13     3.7     3.6     3.6 1
-1922 12 14     5.7     5.6     5.6 1
-1922 12 15     0.1     0.0     0.0 1
-1922 12 16    -2.9    -3.1    -3.1 1
-1922 12 17    -3.5    -3.7    -3.7 1
-1922 12 18    -3.2    -3.4    -3.4 1
-1922 12 19    -1.7    -1.9    -1.9 1
-1922 12 20    -2.4    -2.6    -2.6 1
-1922 12 21    -2.0    -2.2    -2.2 1
-1922 12 22     1.9     1.7     1.7 1
-1922 12 23     2.6     2.4     2.4 1
-1922 12 24     1.8     1.6     1.6 1
-1922 12 25     2.1     1.9     1.9 1
-1922 12 26     1.6     1.3     1.3 1
-1922 12 27     3.6     3.3     3.3 1
-1922 12 28     1.8     1.5     1.5 1
-1922 12 29     1.3     1.0     1.0 1
-1922 12 30     1.0     0.7     0.7 1
-1922 12 31     2.2     1.9     1.9 1
-1923  1  1     1.5     1.2     1.2 1
-1923  1  2     0.9     0.6     0.6 1
-1923  1  3     2.4     2.1     2.1 1
-1923  1  4     2.3     2.0     2.0 1
-1923  1  5     2.1     1.7     1.7 1
-1923  1  6     1.5     1.1     1.1 1
-1923  1  7     0.7     0.3     0.3 1
-1923  1  8     1.6     1.2     1.2 1
-1923  1  9     2.7     2.3     2.3 1
-1923  1 10     1.3     0.9     0.9 1
-1923  1 11     1.3     0.9     0.9 1
-1923  1 12     0.3    -0.1    -0.1 1
-1923  1 13    -2.4    -2.8    -2.8 1
-1923  1 14    -0.7    -1.1    -1.1 1
-1923  1 15    -1.3    -1.7    -1.7 1
-1923  1 16    -0.7    -1.1    -1.1 1
-1923  1 17    -4.1    -4.5    -4.5 1
-1923  1 18    -3.6    -4.0    -4.0 1
-1923  1 19    -1.5    -1.9    -1.9 1
-1923  1 20     0.3    -0.1    -0.1 1
-1923  1 21    -1.9    -2.3    -2.3 1
-1923  1 22     0.4     0.0     0.0 1
-1923  1 23    -3.7    -4.1    -4.1 1
-1923  1 24     1.7     1.3     1.3 1
-1923  1 25     3.5     3.1     3.1 1
-1923  1 26     3.5     3.1     3.1 1
-1923  1 27     1.4     1.0     1.0 1
-1923  1 28    -4.0    -4.4    -4.4 1
-1923  1 29    -5.5    -5.9    -5.9 1
-1923  1 30    -4.8    -5.2    -5.2 1
-1923  1 31    -5.6    -6.0    -6.0 1
-1923  2  1    -3.3    -3.7    -3.7 1
-1923  2  2     0.7     0.3     0.3 1
-1923  2  3    -2.1    -2.5    -2.5 1
-1923  2  4    -4.9    -5.3    -5.3 1
-1923  2  5    -2.7    -3.1    -3.1 1
-1923  2  6    -1.1    -1.5    -1.5 1
-1923  2  7    -0.3    -0.7    -0.7 1
-1923  2  8    -1.1    -1.5    -1.5 1
-1923  2  9    -1.1    -1.5    -1.5 1
-1923  2 10    -3.0    -3.4    -3.4 1
-1923  2 11    -4.1    -4.5    -4.5 1
-1923  2 12    -3.9    -4.2    -4.2 1
-1923  2 13    -4.3    -4.6    -4.6 1
-1923  2 14    -4.9    -5.2    -5.2 1
-1923  2 15    -4.1    -4.4    -4.4 1
-1923  2 16    -5.9    -6.2    -6.2 1
-1923  2 17    -9.2    -9.5    -9.5 1
-1923  2 18    -9.9   -10.2   -10.2 1
-1923  2 19    -9.9   -10.3   -10.3 1
-1923  2 20   -11.1   -11.5   -11.5 1
-1923  2 21    -9.6   -10.0   -10.0 1
-1923  2 22    -8.3    -8.7    -8.7 1
-1923  2 23    -7.6    -8.0    -8.0 1
-1923  2 24    -4.0    -4.4    -4.4 1
-1923  2 25    -5.3    -5.7    -5.7 1
-1923  2 26    -7.9    -8.3    -8.3 1
-1923  2 27   -10.1   -10.5   -10.5 1
-1923  2 28   -10.2   -10.6   -10.6 1
-1923  3  1    -6.9    -7.3    -7.3 1
-1923  3  2    -4.8    -5.2    -5.2 1
-1923  3  3    -5.1    -5.5    -5.5 1
-1923  3  4    -5.5    -5.9    -5.9 1
-1923  3  5    -6.0    -6.4    -6.4 1
-1923  3  6    -3.5    -3.9    -3.9 1
-1923  3  7    -1.9    -2.3    -2.3 1
-1923  3  8    -3.6    -4.0    -4.0 1
-1923  3  9    -5.3    -5.7    -5.7 1
-1923  3 10    -6.8    -7.2    -7.2 1
-1923  3 11    -5.3    -5.7    -5.7 1
-1923  3 12    -3.5    -3.9    -3.9 1
-1923  3 13    -4.4    -4.8    -4.8 1
-1923  3 14    -1.8    -2.2    -2.2 1
-1923  3 15     3.9     3.5     3.5 1
-1923  3 16     3.3     2.9     2.9 1
-1923  3 17     3.7     3.3     3.3 1
-1923  3 18     3.5     3.1     3.1 1
-1923  3 19     4.0     3.6     3.6 1
-1923  3 20     4.4     4.0     4.0 1
-1923  3 21     3.3     2.9     2.9 1
-1923  3 22     3.8     3.4     3.4 1
-1923  3 23     4.4     4.0     4.0 1
-1923  3 24     4.7     4.3     4.3 1
-1923  3 25     4.2     3.8     3.8 1
-1923  3 26     1.6     1.2     1.2 1
-1923  3 27     2.6     2.2     2.2 1
-1923  3 28     3.3     2.9     2.9 1
-1923  3 29     5.7     5.3     5.3 1
-1923  3 30     6.6     6.2     6.2 1
-1923  3 31    -2.4    -2.8    -2.8 1
-1923  4  1    -0.6    -1.0    -1.0 1
-1923  4  2     2.2     1.8     1.8 1
-1923  4  3     2.3     2.0     2.0 1
-1923  4  4     1.7     1.4     1.4 1
-1923  4  5     1.6     1.3     1.3 1
-1923  4  6     1.6     1.3     1.3 1
-1923  4  7     1.6     1.3     1.3 1
-1923  4  8     0.9     0.6     0.6 1
-1923  4  9     2.7     2.4     2.4 1
-1923  4 10     3.8     3.5     3.5 1
-1923  4 11     5.0     4.7     4.7 1
-1923  4 12     1.8     1.5     1.5 1
-1923  4 13     1.8     1.5     1.5 1
-1923  4 14     3.4     3.1     3.1 1
-1923  4 15    -0.2    -0.5    -0.5 1
-1923  4 16     0.0    -0.3    -0.3 1
-1923  4 17     1.0     0.7     0.7 1
-1923  4 18     2.4     2.1     2.1 1
-1923  4 19     4.1     3.8     3.8 1
-1923  4 20     1.8     1.5     1.5 1
-1923  4 21     0.8     0.4     0.4 1
-1923  4 22     1.0     0.6     0.6 1
-1923  4 23     1.8     1.4     1.4 1
-1923  4 24     1.1     0.7     0.7 1
-1923  4 25     0.3    -0.1    -0.1 1
-1923  4 26     2.1     1.7     1.7 1
-1923  4 27     6.4     6.0     6.0 1
-1923  4 28     4.7     4.3     4.3 1
-1923  4 29     3.7     3.2     3.2 1
-1923  4 30     6.3     5.8     5.8 1
-1923  5  1     2.8     2.3     2.3 1
-1923  5  2     4.6     4.1     4.1 1
-1923  5  3     4.7     4.2     4.2 1
-1923  5  4     6.5     6.0     6.0 1
-1923  5  5     7.4     6.9     6.9 1
-1923  5  6    11.5    11.0    11.0 1
-1923  5  7    10.6    10.1    10.1 1
-1923  5  8     8.2     7.6     7.6 1
-1923  5  9     5.6     5.0     5.0 1
-1923  5 10     7.2     6.6     6.6 1
-1923  5 11     7.6     7.0     7.0 1
-1923  5 12     6.2     5.6     5.6 1
-1923  5 13     5.8     5.2     5.2 1
-1923  5 14     6.2     5.6     5.6 1
-1923  5 15     8.8     8.2     8.2 1
-1923  5 16     8.5     7.9     7.9 1
-1923  5 17     7.2     6.6     6.6 1
-1923  5 18     9.4     8.8     8.8 1
-1923  5 19     7.2     6.6     6.6 1
-1923  5 20     9.4     8.8     8.8 1
-1923  5 21    11.0    10.4    10.4 1
-1923  5 22     8.8     8.2     8.2 1
-1923  5 23     8.6     8.0     8.0 1
-1923  5 24     9.4     8.8     8.8 1
-1923  5 25     9.9     9.3     9.3 1
-1923  5 26    10.7    10.1    10.1 1
-1923  5 27     9.8     9.2     9.2 1
-1923  5 28     8.3     7.7     7.7 1
-1923  5 29    10.5     9.9     9.9 1
-1923  5 30     7.5     6.9     6.9 1
-1923  5 31     8.6     8.0     8.0 1
-1923  6  1     9.7     9.1     9.1 1
-1923  6  2     6.7     6.1     6.1 1
-1923  6  3     7.4     6.9     6.9 1
-1923  6  4     7.1     6.6     6.6 1
-1923  6  5     7.5     7.0     7.0 1
-1923  6  6     6.5     6.0     6.0 1
-1923  6  7    10.3     9.8     9.8 1
-1923  6  8    12.7    12.2    12.2 1
-1923  6  9    11.4    10.9    10.9 1
-1923  6 10    12.9    12.4    12.4 1
-1923  6 11    11.2    10.7    10.7 1
-1923  6 12     9.1     8.6     8.6 1
-1923  6 13    10.1     9.6     9.6 1
-1923  6 14     8.8     8.3     8.3 1
-1923  6 15     9.4     8.9     8.9 1
-1923  6 16     9.5     9.0     9.0 1
-1923  6 17    11.4    10.9    10.9 1
-1923  6 18     9.7     9.2     9.2 1
-1923  6 19    14.0    13.5    13.5 1
-1923  6 20    11.6    11.1    11.1 1
-1923  6 21    13.1    12.6    12.6 1
-1923  6 22    11.6    11.1    11.1 1
-1923  6 23    13.2    12.7    12.7 1
-1923  6 24    10.5    10.0    10.0 1
-1923  6 25    10.8    10.3    10.3 1
-1923  6 26     9.5     9.0     9.0 1
-1923  6 27    10.6    10.1    10.1 1
-1923  6 28    11.0    10.5    10.5 1
-1923  6 29    11.8    11.3    11.3 1
-1923  6 30    12.5    12.0    12.0 1
-1923  7  1    14.1    13.6    13.6 1
-1923  7  2    15.9    15.4    15.4 1
-1923  7  3    16.6    16.1    16.1 1
-1923  7  4    16.1    15.6    15.6 1
-1923  7  5    18.1    17.6    17.6 1
-1923  7  6    20.5    20.0    20.0 1
-1923  7  7    19.7    19.2    19.2 1
-1923  7  8    16.1    15.6    15.6 1
-1923  7  9    17.5    17.0    17.0 1
-1923  7 10    22.2    21.7    21.7 1
-1923  7 11    22.3    21.8    21.8 1
-1923  7 12    25.0    24.5    24.5 1
-1923  7 13    23.9    23.4    23.4 1
-1923  7 14    17.8    17.3    17.3 1
-1923  7 15    17.2    16.7    16.7 1
-1923  7 16    17.6    17.1    17.1 1
-1923  7 17    18.1    17.7    17.7 1
-1923  7 18    18.2    17.8    17.8 1
-1923  7 19    15.2    14.8    14.8 1
-1923  7 20    16.3    15.9    15.9 1
-1923  7 21    15.4    15.0    15.0 1
-1923  7 22    14.9    14.5    14.5 1
-1923  7 23    16.0    15.6    15.6 1
-1923  7 24    14.2    13.8    13.8 1
-1923  7 25    14.2    13.8    13.8 1
-1923  7 26    14.3    13.9    13.9 1
-1923  7 27    13.7    13.3    13.3 1
-1923  7 28    15.6    15.2    15.2 1
-1923  7 29    14.7    14.3    14.3 1
-1923  7 30    15.0    14.7    14.7 1
-1923  7 31    14.2    13.9    13.9 1
-1923  8  1    14.8    14.5    14.5 1
-1923  8  2    13.5    13.2    13.2 1
-1923  8  3    15.4    15.1    15.1 1
-1923  8  4    14.4    14.1    14.1 1
-1923  8  5    15.5    15.2    15.2 1
-1923  8  6    16.1    15.8    15.8 1
-1923  8  7    15.8    15.5    15.5 1
-1923  8  8    15.9    15.6    15.6 1
-1923  8  9    16.6    16.3    16.3 1
-1923  8 10    15.4    15.1    15.1 1
-1923  8 11    13.8    13.5    13.5 1
-1923  8 12    14.2    14.0    14.0 1
-1923  8 13    14.2    14.0    14.0 1
-1923  8 14    13.4    13.2    13.2 1
-1923  8 15    15.2    15.0    15.0 1
-1923  8 16    10.8    10.6    10.6 1
-1923  8 17    11.5    11.3    11.3 1
-1923  8 18    12.7    12.5    12.5 1
-1923  8 19    11.9    11.7    11.7 1
-1923  8 20    11.6    11.4    11.4 1
-1923  8 21    12.0    11.8    11.8 1
-1923  8 22    14.2    14.0    14.0 1
-1923  8 23    13.0    12.8    12.8 1
-1923  8 24    14.2    14.1    14.1 1
-1923  8 25    14.3    14.2    14.2 1
-1923  8 26    12.6    12.5    12.5 1
-1923  8 27    14.0    13.9    13.9 1
-1923  8 28    14.2    14.1    14.1 1
-1923  8 29    12.7    12.6    12.6 1
-1923  8 30    12.8    12.7    12.7 1
-1923  8 31    12.1    12.0    12.0 1
-1923  9  1    11.3    11.2    11.2 1
-1923  9  2    11.1    11.0    11.0 1
-1923  9  3    10.6    10.5    10.5 1
-1923  9  4    10.7    10.7    10.7 1
-1923  9  5    10.3    10.3    10.3 1
-1923  9  6    10.2    10.2    10.2 1
-1923  9  7    10.7    10.7    10.7 1
-1923  9  8     9.0     9.0     9.0 1
-1923  9  9    10.5    10.5    10.5 1
-1923  9 10    13.2    13.2    13.2 1
-1923  9 11    10.1    10.1    10.1 1
-1923  9 12    12.1    12.1    12.1 1
-1923  9 13    10.9    10.9    10.9 1
-1923  9 14    10.6    10.6    10.6 1
-1923  9 15    12.7    12.8    12.8 1
-1923  9 16    14.6    14.7    14.7 1
-1923  9 17    10.6    10.7    10.7 1
-1923  9 18    12.3    12.4    12.4 1
-1923  9 19    11.6    11.7    11.7 1
-1923  9 20    10.2    10.3    10.3 1
-1923  9 21     9.3     9.4     9.4 1
-1923  9 22     8.9     9.0     9.0 1
-1923  9 23    10.2    10.3    10.3 1
-1923  9 24    10.4    10.5    10.5 1
-1923  9 25    11.3    11.4    11.4 1
-1923  9 26    10.3    10.4    10.4 1
-1923  9 27     9.8     9.9     9.9 1
-1923  9 28     9.7     9.8     9.8 1
-1923  9 29     8.8     8.9     8.9 1
-1923  9 30     8.8     8.9     8.9 1
-1923 10  1     9.5     9.6     9.6 1
-1923 10  2    10.0    10.1    10.1 1
-1923 10  3     8.6     8.7     8.7 1
-1923 10  4     7.1     7.2     7.2 1
-1923 10  5     7.5     7.6     7.6 1
-1923 10  6     6.4     6.5     6.5 1
-1923 10  7     5.6     5.7     5.7 1
-1923 10  8     6.5     6.6     6.6 1
-1923 10  9     7.9     8.0     8.0 1
-1923 10 10     7.8     7.9     7.9 1
-1923 10 11     5.2     5.3     5.3 1
-1923 10 12     5.8     5.9     5.9 1
-1923 10 13     6.3     6.3     6.3 1
-1923 10 14     7.1     7.1     7.1 1
-1923 10 15     5.7     5.7     5.7 1
-1923 10 16     5.3     5.3     5.3 1
-1923 10 17     4.5     4.5     4.5 1
-1923 10 18     5.6     5.6     5.6 1
-1923 10 19     5.9     5.9     5.9 1
-1923 10 20     8.2     8.2     8.2 1
-1923 10 21     6.2     6.2     6.2 1
-1923 10 22     8.6     8.6     8.6 1
-1923 10 23     8.0     8.0     8.0 1
-1923 10 24     8.0     8.0     8.0 1
-1923 10 25     7.6     7.6     7.6 1
-1923 10 26     6.7     6.7     6.7 1
-1923 10 27     6.1     6.1     6.1 1
-1923 10 28     6.9     6.9     6.9 1
-1923 10 29     7.8     7.8     7.8 1
-1923 10 30     7.8     7.8     7.8 1
-1923 10 31     9.1     9.1     9.1 1
-1923 11  1     6.6     6.5     6.5 1
-1923 11  2     5.6     5.5     5.5 1
-1923 11  3     6.2     6.1     6.1 1
-1923 11  4     5.7     5.6     5.6 1
-1923 11  5     3.8     3.7     3.7 1
-1923 11  6     2.7     2.6     2.6 1
-1923 11  7     1.2     1.1     1.1 1
-1923 11  8     0.3     0.2     0.2 1
-1923 11  9     2.8     2.7     2.7 1
-1923 11 10     0.5     0.4     0.4 1
-1923 11 11     1.8     1.7     1.7 1
-1923 11 12     8.9     8.8     8.8 1
-1923 11 13     5.4     5.3     5.3 1
-1923 11 14     7.0     6.9     6.9 1
-1923 11 15     3.9     3.8     3.8 1
-1923 11 16     4.0     3.9     3.9 1
-1923 11 17     4.6     4.5     4.5 1
-1923 11 18     2.8     2.7     2.7 1
-1923 11 19     2.8     2.7     2.7 1
-1923 11 20     1.0     0.9     0.9 1
-1923 11 21    -5.7    -5.8    -5.8 1
-1923 11 22    -9.6    -9.7    -9.7 1
-1923 11 23   -11.5   -11.6   -11.6 1
-1923 11 24    -9.7    -9.8    -9.8 1
-1923 11 25    -5.8    -5.9    -5.9 1
-1923 11 26    -4.9    -5.0    -5.0 1
-1923 11 27    -3.4    -3.5    -3.5 1
-1923 11 28    -3.4    -3.5    -3.5 1
-1923 11 29     0.1     0.0     0.0 1
-1923 11 30    -0.1    -0.2    -0.2 1
-1923 12  1    -6.9    -7.1    -7.1 1
-1923 12  2    -2.6    -2.8    -2.8 1
-1923 12  3     0.7     0.5     0.5 1
-1923 12  4     1.6     1.4     1.4 1
-1923 12  5     0.6     0.4     0.4 1
-1923 12  6     1.9     1.7     1.7 1
-1923 12  7     1.1     0.9     0.9 1
-1923 12  8     1.8     1.6     1.6 1
-1923 12  9     2.1     1.9     1.9 1
-1923 12 10     0.7     0.5     0.5 1
-1923 12 11     1.8     1.6     1.6 1
-1923 12 12     3.5     3.3     3.3 1
-1923 12 13     1.7     1.5     1.5 1
-1923 12 14     2.4     2.2     2.2 1
-1923 12 15     2.4     2.2     2.2 1
-1923 12 16    -0.6    -0.8    -0.8 1
-1923 12 17    -0.3    -0.5    -0.5 1
-1923 12 18    -0.5    -0.7    -0.7 1
-1923 12 19    -4.0    -4.2    -4.2 1
-1923 12 20   -10.8   -11.0   -11.0 1
-1923 12 21    -8.8    -9.0    -9.0 1
-1923 12 22   -11.4   -11.6   -11.6 1
-1923 12 23   -10.1   -10.3   -10.3 1
-1923 12 24   -16.4   -16.6   -16.6 1
-1923 12 25   -15.3   -15.6   -15.6 1
-1923 12 26    -9.8   -10.1   -10.1 1
-1923 12 27    -5.3    -5.6    -5.6 1
-1923 12 28   -12.1   -12.4   -12.4 1
-1923 12 29    -8.8    -9.1    -9.1 1
-1923 12 30    -6.5    -6.8    -6.8 1
-1923 12 31    -6.3    -6.6    -6.6 1
-1924  1  1    -7.1    -7.4    -7.4 1
-1924  1  2    -5.1    -5.4    -5.4 1
-1924  1  3    -7.2    -7.5    -7.5 1
-1924  1  4    -9.3    -9.6    -9.6 1
-1924  1  5    -8.1    -8.5    -8.5 1
-1924  1  6    -8.7    -9.1    -9.1 1
-1924  1  7    -5.8    -6.2    -6.2 1
-1924  1  8    -6.3    -6.7    -6.7 1
-1924  1  9    -3.9    -4.3    -4.3 1
-1924  1 10    -0.7    -1.1    -1.1 1
-1924  1 11     0.6     0.2     0.2 1
-1924  1 12     1.0     0.6     0.6 1
-1924  1 13     2.0     1.6     1.6 1
-1924  1 14     0.8     0.4     0.4 1
-1924  1 15    -1.2    -1.6    -1.6 1
-1924  1 16    -3.9    -4.3    -4.3 1
-1924  1 17    -1.7    -2.1    -2.1 1
-1924  1 18    -1.0    -1.4    -1.4 1
-1924  1 19     1.0     0.6     0.6 1
-1924  1 20     0.4     0.0     0.0 1
-1924  1 21    -7.1    -7.5    -7.5 1
-1924  1 22   -10.8   -11.2   -11.2 1
-1924  1 23   -13.0   -13.4   -13.4 1
-1924  1 24    -9.3    -9.7    -9.7 1
-1924  1 25    -1.9    -2.3    -2.3 1
-1924  1 26    -0.7    -1.1    -1.1 1
-1924  1 27     0.9     0.5     0.5 1
-1924  1 28    -1.4    -1.8    -1.8 1
-1924  1 29    -4.5    -4.9    -4.9 1
-1924  1 30    -0.8    -1.2    -1.2 1
-1924  1 31     0.6     0.2     0.2 1
-1924  2  1     2.0     1.6     1.6 1
-1924  2  2    -0.5    -0.9    -0.9 1
-1924  2  3    -1.8    -2.2    -2.2 1
-1924  2  4    -3.3    -3.7    -3.7 1
-1924  2  5    -2.9    -3.3    -3.3 1
-1924  2  6    -6.2    -6.6    -6.6 1
-1924  2  7    -9.9   -10.3   -10.3 1
-1924  2  8    -7.0    -7.4    -7.4 1
-1924  2  9    -8.3    -8.7    -8.7 1
-1924  2 10    -8.2    -8.6    -8.6 1
-1924  2 11    -5.9    -6.3    -6.3 1
-1924  2 12    -8.4    -8.8    -8.8 1
-1924  2 13   -10.4   -10.8   -10.8 1
-1924  2 14    -8.7    -9.1    -9.1 1
-1924  2 15   -11.7   -12.0   -12.0 1
-1924  2 16   -10.0   -10.4   -10.4 1
-1924  2 17    -1.9    -2.3    -2.3 1
-1924  2 18     0.1    -0.3    -0.3 1
-1924  2 19    -6.6    -7.0    -7.0 1
-1924  2 20    -3.5    -3.9    -3.9 1
-1924  2 21    -3.1    -3.5    -3.5 1
-1924  2 22    -8.6    -9.0    -9.0 1
-1924  2 23    -9.8   -10.2   -10.2 1
-1924  2 24    -6.8    -7.2    -7.2 1
-1924  2 25   -11.4   -11.8   -11.8 1
-1924  2 26   -13.3   -13.7   -13.7 1
-1924  2 27    -8.8    -9.2    -9.2 1
-1924  2 28    -5.2    -5.6    -5.6 1
-1924  2 29    -8.5    -8.9    -8.9 1
-1924  3  1    -5.8    -6.2    -6.2 1
-1924  3  2    -8.6    -9.0    -9.0 1
-1924  3  3    -4.7    -5.1    -5.1 1
-1924  3  4     0.3    -0.1    -0.1 1
-1924  3  5    -0.1    -0.5    -0.5 1
-1924  3  6    -3.0    -3.4    -3.4 1
-1924  3  7    -6.0    -6.4    -6.4 1
-1924  3  8    -2.9    -3.3    -3.3 1
-1924  3  9     0.9     0.5     0.5 1
-1924  3 10    -0.6    -1.0    -1.0 1
-1924  3 11    -7.2    -7.6    -7.6 1
-1924  3 12    -6.1    -6.5    -6.5 1
-1924  3 13    -4.0    -4.4    -4.4 1
-1924  3 14    -4.0    -4.4    -4.4 1
-1924  3 15     0.9     0.4     0.4 1
-1924  3 16    -2.3    -2.7    -2.7 1
-1924  3 17    -8.0    -8.4    -8.4 1
-1924  3 18    -9.5    -9.9    -9.9 1
-1924  3 19    -8.3    -8.7    -8.7 1
-1924  3 20    -7.9    -8.3    -8.3 1
-1924  3 21    -4.8    -5.2    -5.2 1
-1924  3 22    -2.7    -3.1    -3.1 1
-1924  3 23    -4.4    -4.8    -4.8 1
-1924  3 24    -4.2    -4.6    -4.6 1
-1924  3 25    -4.4    -4.8    -4.8 1
-1924  3 26    -3.4    -3.8    -3.8 1
-1924  3 27     0.5     0.1     0.1 1
-1924  3 28    -0.3    -0.7    -0.7 1
-1924  3 29     0.1    -0.3    -0.3 1
-1924  3 30     1.0     0.6     0.6 1
-1924  3 31     1.4     1.0     1.0 1
-1924  4  1    -0.4    -0.8    -0.8 1
-1924  4  2    -1.4    -1.8    -1.8 1
-1924  4  3     2.2     1.8     1.8 1
-1924  4  4     3.0     2.6     2.6 1
-1924  4  5     4.2     3.9     3.9 1
-1924  4  6     2.8     2.5     2.5 1
-1924  4  7     2.9     2.6     2.6 1
-1924  4  8     3.4     3.1     3.1 1
-1924  4  9     2.2     1.9     1.9 1
-1924  4 10     1.4     1.1     1.1 1
-1924  4 11    -1.0    -1.3    -1.3 1
-1924  4 12     0.4     0.1     0.1 1
-1924  4 13     0.7     0.4     0.4 1
-1924  4 14     2.4     2.1     2.1 1
-1924  4 15     2.6     2.3     2.3 1
-1924  4 16     2.7     2.4     2.4 1
-1924  4 17     3.6     3.3     3.3 1
-1924  4 18     2.9     2.6     2.6 1
-1924  4 19     2.6     2.3     2.3 1
-1924  4 20     4.4     4.0     4.0 1
-1924  4 21     1.2     0.8     0.8 1
-1924  4 22     0.4     0.0     0.0 1
-1924  4 23    -3.0    -3.4    -3.4 1
-1924  4 24    -1.2    -1.6    -1.6 1
-1924  4 25    -0.9    -1.3    -1.3 1
-1924  4 26    -0.3    -0.7    -0.7 1
-1924  4 27     0.6     0.2     0.2 1
-1924  4 28     1.8     1.3     1.3 1
-1924  4 29     2.4     1.9     1.9 1
-1924  4 30     2.9     2.4     2.4 1
-1924  5  1     3.1     2.6     2.6 1
-1924  5  2     6.0     5.5     5.5 1
-1924  5  3     6.2     5.7     5.7 1
-1924  5  4     4.9     4.4     4.4 1
-1924  5  5     5.2     4.7     4.7 1
-1924  5  6     4.6     4.0     4.0 1
-1924  5  7     6.5     5.9     5.9 1
-1924  5  8     6.5     5.9     5.9 1
-1924  5  9     7.4     6.8     6.8 1
-1924  5 10     9.5     8.9     8.9 1
-1924  5 11    10.0     9.4     9.4 1
-1924  5 12     9.6     9.0     9.0 1
-1924  5 13    11.5    10.9    10.9 1
-1924  5 14    12.6    12.0    12.0 1
-1924  5 15    14.4    13.7    13.7 1
-1924  5 16    10.2     9.5     9.5 1
-1924  5 17     5.5     4.9     4.9 1
-1924  5 18     9.3     8.7     8.7 1
-1924  5 19     8.9     8.3     8.3 1
-1924  5 20     7.7     7.1     7.1 1
-1924  5 21     8.3     7.7     7.7 1
-1924  5 22    10.0     9.4     9.4 1
-1924  5 23     9.6     9.0     9.0 1
-1924  5 24    12.8    12.2    12.2 1
-1924  5 25    11.4    10.8    10.8 1
-1924  5 26    12.3    11.7    11.7 1
-1924  5 27    13.1    12.5    12.5 1
-1924  5 28    14.3    13.7    13.7 1
-1924  5 29    11.9    11.3    11.3 1
-1924  5 30    13.1    12.5    12.5 1
-1924  5 31    12.2    11.6    11.6 1
-1924  6  1    10.1     9.5     9.5 1
-1924  6  2    13.6    13.0    13.0 1
-1924  6  3     9.7     9.1     9.1 1
-1924  6  4     9.0     8.4     8.4 1
-1924  6  5     8.9     8.3     8.3 1
-1924  6  6     7.3     6.8     6.8 1
-1924  6  7    11.3    10.8    10.8 1
-1924  6  8    11.9    11.4    11.4 1
-1924  6  9    14.2    13.7    13.7 1
-1924  6 10    13.6    13.1    13.1 1
-1924  6 11    12.6    12.1    12.1 1
-1924  6 12    15.0    14.5    14.5 1
-1924  6 13     9.1     8.6     8.6 1
-1924  6 14    10.8    10.3    10.3 1
-1924  6 15     9.5     9.0     9.0 1
-1924  6 16    10.7    10.2    10.2 1
-1924  6 17    16.6    16.1    16.1 1
-1924  6 18    17.9    17.4    17.4 1
-1924  6 19    17.2    16.7    16.7 1
-1924  6 20    20.3    19.8    19.8 1
-1924  6 21    16.5    16.0    16.0 1
-1924  6 22    15.5    15.0    15.0 1
-1924  6 23    16.5    16.0    16.0 1
-1924  6 24    13.9    13.4    13.4 1
-1924  6 25    12.2    11.7    11.7 1
-1924  6 26    13.7    13.2    13.2 1
-1924  6 27    13.6    13.1    13.1 1
-1924  6 28    12.6    12.1    12.1 1
-1924  6 29    14.2    13.7    13.7 1
-1924  6 30    14.7    14.2    14.2 1
-1924  7  1    14.3    13.8    13.8 1
-1924  7  2    14.4    13.9    13.9 1
-1924  7  3    14.3    13.8    13.8 1
-1924  7  4    13.7    13.2    13.2 1
-1924  7  5    13.9    13.4    13.4 1
-1924  7  6    14.6    14.1    14.1 1
-1924  7  7    14.7    14.2    14.2 1
-1924  7  8    14.8    14.3    14.3 1
-1924  7  9    13.8    13.3    13.3 1
-1924  7 10    13.0    12.5    12.5 1
-1924  7 11    15.2    14.7    14.7 1
-1924  7 12    18.6    18.1    18.1 1
-1924  7 13    18.4    17.9    17.9 1
-1924  7 14    16.9    16.4    16.4 1
-1924  7 15    17.3    16.8    16.8 1
-1924  7 16    18.0    17.5    17.5 1
-1924  7 17    18.4    17.9    17.9 1
-1924  7 18    18.5    18.0    18.0 1
-1924  7 19    19.5    19.1    19.1 1
-1924  7 20    15.7    15.3    15.3 1
-1924  7 21    17.4    17.0    17.0 1
-1924  7 22    20.2    19.8    19.8 1
-1924  7 23    18.8    18.4    18.4 1
-1924  7 24    17.9    17.5    17.5 1
-1924  7 25    17.2    16.8    16.8 1
-1924  7 26    16.4    16.0    16.0 1
-1924  7 27    17.8    17.4    17.4 1
-1924  7 28    16.0    15.6    15.6 1
-1924  7 29    17.0    16.6    16.6 1
-1924  7 30    19.1    18.7    18.7 1
-1924  7 31    19.9    19.5    19.5 1
-1924  8  1    20.3    20.0    20.0 1
-1924  8  2    20.2    19.9    19.9 1
-1924  8  3    20.2    19.9    19.9 1
-1924  8  4    18.2    17.9    17.9 1
-1924  8  5    17.2    16.9    16.9 1
-1924  8  6    16.3    16.0    16.0 1
-1924  8  7    15.9    15.6    15.6 1
-1924  8  8    16.3    16.0    16.0 1
-1924  8  9    16.1    15.8    15.8 1
-1924  8 10    18.1    17.8    17.8 1
-1924  8 11    16.5    16.2    16.2 1
-1924  8 12    17.2    16.9    16.9 1
-1924  8 13    19.4    19.1    19.1 1
-1924  8 14    20.9    20.7    20.7 1
-1924  8 15    21.2    21.0    21.0 1
-1924  8 16    17.4    17.2    17.2 1
-1924  8 17    16.6    16.4    16.4 1
-1924  8 18    17.3    17.1    17.1 1
-1924  8 19    15.9    15.7    15.7 1
-1924  8 20    15.0    14.8    14.8 1
-1924  8 21    13.9    13.7    13.7 1
-1924  8 22    14.1    13.9    13.9 1
-1924  8 23    14.7    14.5    14.5 1
-1924  8 24    13.8    13.6    13.6 1
-1924  8 25    13.6    13.5    13.5 1
-1924  8 26    13.5    13.4    13.4 1
-1924  8 27    14.5    14.4    14.4 1
-1924  8 28    14.6    14.5    14.5 1
-1924  8 29    14.1    14.0    14.0 1
-1924  8 30    14.8    14.7    14.7 1
-1924  8 31    15.4    15.3    15.3 1
-1924  9  1    15.9    15.8    15.8 1
-1924  9  2    14.7    14.6    14.6 1
-1924  9  3    15.6    15.5    15.5 1
-1924  9  4    16.6    16.5    16.5 1
-1924  9  5    16.6    16.6    16.6 1
-1924  9  6    16.9    16.9    16.9 1
-1924  9  7    15.7    15.7    15.7 1
-1924  9  8    14.0    14.0    14.0 1
-1924  9  9    15.7    15.7    15.7 1
-1924  9 10    13.2    13.2    13.2 1
-1924  9 11    10.2    10.2    10.2 1
-1924  9 12    10.8    10.8    10.8 1
-1924  9 13    15.0    15.0    15.0 1
-1924  9 14    15.1    15.1    15.1 1
-1924  9 15    11.6    11.6    11.6 1
-1924  9 16    12.0    12.0    12.0 1
-1924  9 17    12.8    12.8    12.8 1
-1924  9 18    13.5    13.5    13.5 1
-1924  9 19    12.2    12.2    12.2 1
-1924  9 20    11.3    11.3    11.3 1
-1924  9 21    13.0    13.0    13.0 1
-1924  9 22    11.7    11.7    11.7 1
-1924  9 23    10.1    10.1    10.1 1
-1924  9 24    11.3    11.3    11.3 1
-1924  9 25    11.2    11.2    11.2 1
-1924  9 26     9.5     9.5     9.5 1
-1924  9 27     9.2     9.2     9.2 1
-1924  9 28     7.6     7.6     7.6 1
-1924  9 29     9.8     9.8     9.8 1
-1924  9 30    10.4    10.4    10.4 1
-1924 10  1    10.7    10.7    10.7 1
-1924 10  2    11.8    11.8    11.8 1
-1924 10  3    11.4    11.4    11.4 1
-1924 10  4    11.5    11.5    11.5 1
-1924 10  5    10.3    10.3    10.3 1
-1924 10  6    11.4    11.4    11.4 1
-1924 10  7    10.5    10.5    10.5 1
-1924 10  8    10.4    10.4    10.4 1
-1924 10  9    10.6    10.6    10.6 1
-1924 10 10     8.4     8.4     8.4 1
-1924 10 11    11.0    11.0    11.0 1
-1924 10 12    11.1    11.1    11.1 1
-1924 10 13    10.5    10.5    10.5 1
-1924 10 14     8.9     8.9     8.9 1
-1924 10 15     7.9     7.9     7.9 1
-1924 10 16     8.9     8.9     8.9 1
-1924 10 17     8.3     8.3     8.3 1
-1924 10 18     7.1     7.1     7.1 1
-1924 10 19     3.1     3.1     3.1 1
-1924 10 20     4.7     4.7     4.7 1
-1924 10 21     5.1     5.1     5.1 1
-1924 10 22     1.2     1.2     1.2 1
-1924 10 23     1.8     1.8     1.8 1
-1924 10 24     5.1     5.1     5.1 1
-1924 10 25     4.3     4.3     4.3 1
-1924 10 26     4.5     4.5     4.5 1
-1924 10 27     6.8     6.8     6.8 1
-1924 10 28     8.3     8.3     8.3 1
-1924 10 29     7.5     7.5     7.5 1
-1924 10 30     7.8     7.8     7.8 1
-1924 10 31     8.7     8.6     8.6 1
-1924 11  1     7.6     7.5     7.5 1
-1924 11  2     3.7     3.6     3.6 1
-1924 11  3     3.1     3.0     3.0 1
-1924 11  4     0.2     0.1     0.1 1
-1924 11  5     1.8     1.7     1.7 1
-1924 11  6     3.1     3.0     3.0 1
-1924 11  7     2.9     2.8     2.8 1
-1924 11  8     4.3     4.2     4.2 1
-1924 11  9     3.0     2.9     2.9 1
-1924 11 10     0.3     0.2     0.2 1
-1924 11 11     2.8     2.7     2.7 1
-1924 11 12     3.2     3.1     3.1 1
-1924 11 13     2.3     2.2     2.2 1
-1924 11 14     1.3     1.2     1.2 1
-1924 11 15    -0.4    -0.5    -0.5 1
-1924 11 16    -0.1    -0.2    -0.2 1
-1924 11 17     1.7     1.6     1.6 1
-1924 11 18     3.4     3.3     3.3 1
-1924 11 19     0.8     0.7     0.7 1
-1924 11 20     0.0    -0.2    -0.2 1
-1924 11 21     1.7     1.5     1.5 1
-1924 11 22     6.6     6.4     6.4 1
-1924 11 23     3.9     3.7     3.7 1
-1924 11 24     6.6     6.4     6.4 1
-1924 11 25     4.2     4.0     4.0 1
-1924 11 26     4.4     4.2     4.2 1
-1924 11 27     4.0     3.8     3.8 1
-1924 11 28     3.4     3.2     3.2 1
-1924 11 29     4.7     4.5     4.5 1
-1924 11 30     4.9     4.7     4.7 1
-1924 12  1     6.2     6.0     6.0 1
-1924 12  2     2.0     1.8     1.8 1
-1924 12  3    -4.8    -5.0    -5.0 1
-1924 12  4    -9.3    -9.5    -9.5 1
-1924 12  5    -5.8    -6.0    -6.0 1
-1924 12  6     0.3     0.1     0.1 1
-1924 12  7     2.8     2.6     2.6 1
-1924 12  8     3.3     3.1     3.1 1
-1924 12  9     2.9     2.7     2.7 1
-1924 12 10     3.1     2.9     2.9 1
-1924 12 11     3.5     3.3     3.3 1
-1924 12 12     4.0     3.8     3.8 1
-1924 12 13     0.3     0.1     0.1 1
-1924 12 14     2.0     1.8     1.8 1
-1924 12 15     0.2     0.0     0.0 1
-1924 12 16     2.3     2.1     2.1 1
-1924 12 17     3.0     2.8     2.8 1
-1924 12 18     6.9     6.7     6.7 1
-1924 12 19     8.5     8.3     8.3 1
-1924 12 20     6.5     6.3     6.3 1
-1924 12 21     5.5     5.3     5.3 1
-1924 12 22     4.3     4.1     4.1 1
-1924 12 23     3.4     3.2     3.2 1
-1924 12 24     2.6     2.3     2.3 1
-1924 12 25     4.1     3.8     3.8 1
-1924 12 26     4.1     3.8     3.8 1
-1924 12 27     3.8     3.5     3.5 1
-1924 12 28     4.5     4.2     4.2 1
-1924 12 29     4.2     3.9     3.9 1
-1924 12 30     3.2     2.9     2.9 1
-1924 12 31     2.5     2.2     2.2 1
-1925  1  1     2.0     1.7     1.7 1
-1925  1  2     3.5     3.2     3.2 1
-1925  1  3     4.2     3.9     3.9 1
-1925  1  4     2.4     2.0     2.0 1
-1925  1  5    -0.3    -0.7    -0.7 1
-1925  1  6    -0.1    -0.5    -0.5 1
-1925  1  7     0.6     0.2     0.2 1
-1925  1  8     0.9     0.5     0.5 1
-1925  1  9     2.6     2.2     2.2 1
-1925  1 10    -0.5    -0.9    -0.9 1
-1925  1 11     3.8     3.4     3.4 1
-1925  1 12     0.9     0.5     0.5 1
-1925  1 13     2.9     2.5     2.5 1
-1925  1 14     2.4     2.0     2.0 1
-1925  1 15     5.0     4.5     4.5 1
-1925  1 16     4.8     4.3     4.3 1
-1925  1 17     4.0     3.5     3.5 1
-1925  1 18     5.4     5.0     5.0 1
-1925  1 19     4.1     3.7     3.7 1
-1925  1 20    -0.6    -1.0    -1.0 1
-1925  1 21    -0.2    -0.6    -0.6 1
-1925  1 22    -3.3    -3.7    -3.7 1
-1925  1 23    -5.0    -5.4    -5.4 1
-1925  1 24    -1.4    -1.8    -1.8 1
-1925  1 25    -0.7    -1.1    -1.1 1
-1925  1 26    -3.7    -4.1    -4.1 1
-1925  1 27    -3.5    -3.9    -3.9 1
-1925  1 28    -4.0    -4.4    -4.4 1
-1925  1 29    -1.0    -1.4    -1.4 1
-1925  1 30     1.3     0.9     0.9 1
-1925  1 31     2.8     2.4     2.4 1
-1925  2  1     0.5     0.1     0.1 1
-1925  2  2     0.0    -0.4    -0.4 1
-1925  2  3     2.0     1.6     1.6 1
-1925  2  4     2.3     1.9     1.9 1
-1925  2  5     3.3     2.9     2.9 1
-1925  2  6     2.5     2.1     2.1 1
-1925  2  7     0.1    -0.3    -0.3 1
-1925  2  8    -1.2    -1.6    -1.6 1
-1925  2  9     1.6     1.2     1.2 1
-1925  2 10     2.5     2.1     2.1 1
-1925  2 11     6.6     6.2     6.2 1
-1925  2 12     5.5     5.1     5.1 1
-1925  2 13     2.6     2.2     2.2 1
-1925  2 14     3.3     2.9     2.9 1
-1925  2 15     3.7     3.3     3.3 1
-1925  2 16     2.9     2.5     2.5 1
-1925  2 17     2.5     2.1     2.1 1
-1925  2 18     1.8     1.4     1.4 1
-1925  2 19    -2.6    -3.0    -3.0 1
-1925  2 20    -5.2    -5.6    -5.6 1
-1925  2 21    -6.1    -6.5    -6.5 1
-1925  2 22    -3.4    -3.8    -3.8 1
-1925  2 23    -0.5    -0.9    -0.9 1
-1925  2 24    -0.4    -0.8    -0.8 1
-1925  2 25     1.0     0.6     0.6 1
-1925  2 26     0.3    -0.1    -0.1 1
-1925  2 27    -0.6    -1.0    -1.0 1
-1925  2 28     1.0     0.6     0.6 1
-1925  3  1     0.4     0.0     0.0 1
-1925  3  2    -0.9    -1.3    -1.3 1
-1925  3  3    -2.9    -3.3    -3.3 1
-1925  3  4    -1.6    -2.0    -2.0 1
-1925  3  5    -0.6    -1.0    -1.0 1
-1925  3  6    -0.5    -0.9    -0.9 1
-1925  3  7    -5.4    -5.8    -5.8 1
-1925  3  8    -4.0    -4.4    -4.4 1
-1925  3  9    -3.8    -4.2    -4.2 1
-1925  3 10    -6.0    -6.4    -6.4 1
-1925  3 11    -9.0    -9.4    -9.4 1
-1925  3 12    -7.3    -7.8    -7.8 1
-1925  3 13    -9.0    -9.5    -9.5 1
-1925  3 14    -8.8    -9.3    -9.3 1
-1925  3 15    -9.1    -9.6    -9.6 1
-1925  3 16    -7.7    -8.2    -8.2 1
-1925  3 17    -3.6    -4.1    -4.1 1
-1925  3 18     0.8     0.4     0.4 1
-1925  3 19     3.4     3.0     3.0 1
-1925  3 20     2.1     1.7     1.7 1
-1925  3 21     0.6     0.2     0.2 1
-1925  3 22    -1.2    -1.6    -1.6 1
-1925  3 23    -0.2    -0.6    -0.6 1
-1925  3 24    -0.2    -0.6    -0.6 1
-1925  3 25     0.7     0.3     0.3 1
-1925  3 26     0.3    -0.1    -0.1 1
-1925  3 27    -0.6    -1.0    -1.0 1
-1925  3 28    -0.8    -1.2    -1.2 1
-1925  3 29    -1.5    -1.9    -1.9 1
-1925  3 30     1.6     1.2     1.2 1
-1925  3 31     4.9     4.5     4.5 1
-1925  4  1     4.9     4.5     4.5 1
-1925  4  2     2.2     1.8     1.8 1
-1925  4  3     2.9     2.5     2.5 1
-1925  4  4     1.9     1.5     1.5 1
-1925  4  5     3.0     2.6     2.6 1
-1925  4  6     4.6     4.2     4.2 1
-1925  4  7     6.7     6.3     6.3 1
-1925  4  8     9.2     8.9     8.9 1
-1925  4  9     8.9     8.6     8.6 1
-1925  4 10     9.9     9.6     9.6 1
-1925  4 11     9.0     8.7     8.7 1
-1925  4 12     9.8     9.5     9.5 1
-1925  4 13     6.5     6.2     6.2 1
-1925  4 14     3.3     3.0     3.0 1
-1925  4 15     5.2     4.9     4.9 1
-1925  4 16     5.4     5.1     5.1 1
-1925  4 17     4.7     4.4     4.4 1
-1925  4 18     6.3     6.0     6.0 1
-1925  4 19     4.4     4.0     4.0 1
-1925  4 20     5.1     4.7     4.7 1
-1925  4 21     6.1     5.7     5.7 1
-1925  4 22     6.7     6.3     6.3 1
-1925  4 23     9.9     9.5     9.5 1
-1925  4 24     9.1     8.7     8.7 1
-1925  4 25     7.3     6.9     6.9 1
-1925  4 26     8.3     7.9     7.9 1
-1925  4 27     6.9     6.4     6.4 1
-1925  4 28     5.4     4.9     4.9 1
-1925  4 29     2.5     2.0     2.0 1
-1925  4 30     4.2     3.7     3.7 1
-1925  5  1     3.6     3.1     3.1 1
-1925  5  2     7.1     6.6     6.6 1
-1925  5  3     6.8     6.3     6.3 1
-1925  5  4     8.7     8.2     8.2 1
-1925  5  5    10.7    10.1    10.1 1
-1925  5  6     8.9     8.3     8.3 1
-1925  5  7     8.2     7.6     7.6 1
-1925  5  8     7.4     6.8     6.8 1
-1925  5  9     8.7     8.1     8.1 1
-1925  5 10     9.4     8.8     8.8 1
-1925  5 11     8.0     7.4     7.4 1
-1925  5 12    12.1    11.5    11.5 1
-1925  5 13    14.1    13.4    13.4 1
-1925  5 14    11.7    11.0    11.0 1
-1925  5 15    11.0    10.3    10.3 1
-1925  5 16    11.7    11.0    11.0 1
-1925  5 17    13.5    12.8    12.8 1
-1925  5 18    15.3    14.6    14.6 1
-1925  5 19    17.6    16.9    16.9 1
-1925  5 20    16.0    15.3    15.3 1
-1925  5 21     6.5     5.9     5.9 1
-1925  5 22     7.0     6.4     6.4 1
-1925  5 23     5.8     5.2     5.2 1
-1925  5 24     6.0     5.4     5.4 1
-1925  5 25     8.3     7.7     7.7 1
-1925  5 26     7.7     7.1     7.1 1
-1925  5 27     9.8     9.2     9.2 1
-1925  5 28    10.4     9.8     9.8 1
-1925  5 29    14.1    13.5    13.5 1
-1925  5 30    13.7    13.1    13.1 1
-1925  5 31    12.8    12.2    12.2 1
-1925  6  1    12.8    12.2    12.2 1
-1925  6  2    13.2    12.6    12.6 1
-1925  6  3    13.1    12.5    12.5 1
-1925  6  4    13.1    12.5    12.5 1
-1925  6  5    13.6    13.0    13.0 1
-1925  6  6    14.8    14.2    14.2 1
-1925  6  7    16.4    15.8    15.8 1
-1925  6  8    14.5    13.9    13.9 1
-1925  6  9    16.9    16.4    16.4 1
-1925  6 10    18.0    17.5    17.5 1
-1925  6 11    18.0    17.5    17.5 1
-1925  6 12    13.5    13.0    13.0 1
-1925  6 13    14.7    14.2    14.2 1
-1925  6 14    11.1    10.6    10.6 1
-1925  6 15    10.5    10.0    10.0 1
-1925  6 16    16.2    15.7    15.7 1
-1925  6 17    11.2    10.7    10.7 1
-1925  6 18    10.9    10.4    10.4 1
-1925  6 19    11.9    11.4    11.4 1
-1925  6 20    14.2    13.7    13.7 1
-1925  6 21    13.2    12.7    12.7 1
-1925  6 22    13.1    12.6    12.6 1
-1925  6 23    14.2    13.7    13.7 1
-1925  6 24    13.7    13.2    13.2 1
-1925  6 25    14.6    14.1    14.1 1
-1925  6 26    14.7    14.2    14.2 1
-1925  6 27    15.8    15.3    15.3 1
-1925  6 28    16.8    16.3    16.3 1
-1925  6 29    17.3    16.8    16.8 1
-1925  6 30    19.1    18.6    18.6 1
-1925  7  1    17.0    16.5    16.5 1
-1925  7  2    17.5    17.0    17.0 1
-1925  7  3    15.0    14.5    14.5 1
-1925  7  4    17.5    17.0    17.0 1
-1925  7  5    17.6    17.1    17.1 1
-1925  7  6    18.5    18.0    18.0 1
-1925  7  7    18.2    17.7    17.7 1
-1925  7  8    19.0    18.5    18.5 1
-1925  7  9    17.6    17.1    17.1 1
-1925  7 10    15.7    15.2    15.2 1
-1925  7 11    15.0    14.5    14.5 1
-1925  7 12    15.4    14.9    14.9 1
-1925  7 13    17.8    17.3    17.3 1
-1925  7 14    19.8    19.3    19.3 1
-1925  7 15    20.8    20.3    20.3 1
-1925  7 16    20.5    20.0    20.0 1
-1925  7 17    20.4    19.9    19.9 1
-1925  7 18    20.6    20.1    20.1 1
-1925  7 19    20.9    20.4    20.4 1
-1925  7 20    20.5    20.0    20.0 1
-1925  7 21    21.6    21.2    21.2 1
-1925  7 22    22.7    22.3    22.3 1
-1925  7 23    22.7    22.3    22.3 1
-1925  7 24    23.7    23.3    23.3 1
-1925  7 25    23.9    23.5    23.5 1
-1925  7 26    23.9    23.5    23.5 1
-1925  7 27    23.7    23.3    23.3 1
-1925  7 28    19.4    19.0    19.0 1
-1925  7 29    18.0    17.6    17.6 1
-1925  7 30    16.6    16.2    16.2 1
-1925  7 31    17.0    16.6    16.6 1
-1925  8  1    17.8    17.4    17.4 1
-1925  8  2    16.7    16.3    16.3 1
-1925  8  3    17.9    17.6    17.6 1
-1925  8  4    18.0    17.7    17.7 1
-1925  8  5    17.2    16.9    16.9 1
-1925  8  6    15.1    14.8    14.8 1
-1925  8  7    15.3    15.0    15.0 1
-1925  8  8    14.9    14.6    14.6 1
-1925  8  9    18.5    18.2    18.2 1
-1925  8 10    18.3    18.0    18.0 1
-1925  8 11    20.0    19.7    19.7 1
-1925  8 12    18.1    17.8    17.8 1
-1925  8 13    18.2    17.9    17.9 1
-1925  8 14    18.5    18.2    18.2 1
-1925  8 15    15.4    15.1    15.1 1
-1925  8 16    13.0    12.8    12.8 1
-1925  8 17    13.8    13.6    13.6 1
-1925  8 18    13.6    13.4    13.4 1
-1925  8 19    15.0    14.8    14.8 1
-1925  8 20    17.0    16.8    16.8 1
-1925  8 21    16.2    16.0    16.0 1
-1925  8 22    15.9    15.7    15.7 1
-1925  8 23    15.7    15.5    15.5 1
-1925  8 24    14.8    14.6    14.6 1
-1925  8 25    16.2    16.0    16.0 1
-1925  8 26    15.4    15.3    15.3 1
-1925  8 27    15.2    15.1    15.1 1
-1925  8 28    15.2    15.1    15.1 1
-1925  8 29    15.5    15.4    15.4 1
-1925  8 30    13.8    13.7    13.7 1
-1925  8 31    14.4    14.3    14.3 1
-1925  9  1    13.4    13.3    13.3 1
-1925  9  2    13.9    13.8    13.8 1
-1925  9  3    12.1    12.0    12.0 1
-1925  9  4    12.6    12.5    12.5 1
-1925  9  5    11.5    11.4    11.4 1
-1925  9  6    11.1    11.1    11.1 1
-1925  9  7    10.6    10.6    10.6 1
-1925  9  8     9.4     9.4     9.4 1
-1925  9  9    11.0    11.0    11.0 1
-1925  9 10    11.0    11.0    11.0 1
-1925  9 11     9.8     9.8     9.8 1
-1925  9 12     9.8     9.8     9.8 1
-1925  9 13    10.2    10.2    10.2 1
-1925  9 14    11.7    11.7    11.7 1
-1925  9 15    12.7    12.7    12.7 1
-1925  9 16    11.7    11.7    11.7 1
-1925  9 17    11.8    11.8    11.8 1
-1925  9 18    10.2    10.2    10.2 1
-1925  9 19     8.1     8.1     8.1 1
-1925  9 20    11.3    11.3    11.3 1
-1925  9 21    12.3    12.3    12.3 1
-1925  9 22    11.1    11.1    11.1 1
-1925  9 23    13.8    13.8    13.8 1
-1925  9 24    12.9    12.9    12.9 1
-1925  9 25    12.2    12.2    12.2 1
-1925  9 26     9.5     9.5     9.5 1
-1925  9 27     9.7     9.7     9.7 1
-1925  9 28     8.2     8.2     8.2 1
-1925  9 29     8.9     8.9     8.9 1
-1925  9 30    11.7    11.7    11.7 1
-1925 10  1    11.5    11.5    11.5 1
-1925 10  2    11.6    11.6    11.6 1
-1925 10  3     9.6     9.6     9.6 1
-1925 10  4     6.4     6.4     6.4 1
-1925 10  5     5.6     5.6     5.6 1
-1925 10  6     4.8     4.8     4.8 1
-1925 10  7     4.7     4.7     4.7 1
-1925 10  8     3.7     3.7     3.7 1
-1925 10  9     9.0     9.0     9.0 1
-1925 10 10     5.1     5.1     5.1 1
-1925 10 11     2.2     2.2     2.2 1
-1925 10 12     1.9     1.9     1.9 1
-1925 10 13     1.1     1.1     1.1 1
-1925 10 14     1.7     1.7     1.7 1
-1925 10 15    -1.0    -1.0    -1.0 1
-1925 10 16    -2.2    -2.2    -2.2 1
-1925 10 17    -1.9    -1.9    -1.9 1
-1925 10 18    -1.9    -1.9    -1.9 1
-1925 10 19    -2.7    -2.7    -2.7 1
-1925 10 20    -0.1    -0.1    -0.1 1
-1925 10 21     0.1     0.1     0.1 1
-1925 10 22     2.7     2.7     2.7 1
-1925 10 23     5.3     5.3     5.3 1
-1925 10 24     7.4     7.4     7.4 1
-1925 10 25     7.2     7.2     7.2 1
-1925 10 26     8.0     8.0     8.0 1
-1925 10 27     8.5     8.5     8.5 1
-1925 10 28     9.6     9.6     9.6 1
-1925 10 29     7.8     7.7     7.7 1
-1925 10 30     7.1     7.0     7.0 1
-1925 10 31     0.7     0.6     0.6 1
-1925 11  1    -0.8    -0.9    -0.9 1
-1925 11  2     0.6     0.5     0.5 1
-1925 11  3     3.8     3.7     3.7 1
-1925 11  4     4.7     4.6     4.6 1
-1925 11  5     1.2     1.1     1.1 1
-1925 11  6    -0.7    -0.8    -0.8 1
-1925 11  7    -4.2    -4.3    -4.3 1
-1925 11  8    -5.4    -5.5    -5.5 1
-1925 11  9    -3.0    -3.1    -3.1 1
-1925 11 10    -1.3    -1.4    -1.4 1
-1925 11 11    -5.6    -5.7    -5.7 1
-1925 11 12    -3.5    -3.6    -3.6 1
-1925 11 13     1.1     1.0     1.0 1
-1925 11 14     2.1     2.0     2.0 1
-1925 11 15     1.2     1.0     1.0 1
-1925 11 16     0.0    -0.2    -0.2 1
-1925 11 17    -1.2    -1.4    -1.4 1
-1925 11 18     0.1    -0.1    -0.1 1
-1925 11 19     2.6     2.4     2.4 1
-1925 11 20     4.2     4.0     4.0 1
-1925 11 21     0.6     0.4     0.4 1
-1925 11 22    -1.3    -1.5    -1.5 1
-1925 11 23    -1.1    -1.3    -1.3 1
-1925 11 24    -4.1    -4.3    -4.3 1
-1925 11 25    -6.0    -6.2    -6.2 1
-1925 11 26    -7.9    -8.1    -8.1 1
-1925 11 27    -1.1    -1.3    -1.3 1
-1925 11 28    -4.0    -4.2    -4.2 1
-1925 11 29    -7.3    -7.5    -7.5 1
-1925 11 30    -8.7    -8.9    -8.9 1
-1925 12  1   -10.8   -11.0   -11.0 1
-1925 12  2   -13.0   -13.2   -13.2 1
-1925 12  3    -9.9   -10.1   -10.1 1
-1925 12  4    -6.3    -6.5    -6.5 1
-1925 12  5    -3.3    -3.5    -3.5 1
-1925 12  6     2.7     2.5     2.5 1
-1925 12  7    -1.3    -1.5    -1.5 1
-1925 12  8     0.2     0.0     0.0 1
-1925 12  9     1.6     1.4     1.4 1
-1925 12 10     1.3     1.1     1.1 1
-1925 12 11     1.1     0.9     0.9 1
-1925 12 12    -1.4    -1.6    -1.6 1
-1925 12 13    -9.3    -9.5    -9.5 1
-1925 12 14    -8.6    -8.8    -8.8 1
-1925 12 15    -9.7    -9.9    -9.9 1
-1925 12 16    -9.4    -9.6    -9.6 1
-1925 12 17    -3.1    -3.3    -3.3 1
-1925 12 18    -8.0    -8.2    -8.2 1
-1925 12 19   -14.6   -14.8   -14.8 1
-1925 12 20   -14.1   -14.3   -14.3 1
-1925 12 21    -3.1    -3.3    -3.3 1
-1925 12 22     1.0     0.8     0.8 1
-1925 12 23     1.1     0.8     0.8 1
-1925 12 24    -1.3    -1.6    -1.6 1
-1925 12 25    -1.6    -1.9    -1.9 1
-1925 12 26    -6.6    -6.9    -6.9 1
-1925 12 27    -7.7    -8.0    -8.0 1
-1925 12 28    -1.0    -1.3    -1.3 1
-1925 12 29     0.9     0.6     0.6 1
-1925 12 30     3.3     3.0     3.0 1
-1925 12 31    -0.1    -0.4    -0.4 1
-1926  1  1    -3.1    -3.4    -3.4 1
-1926  1  2    -3.8    -4.1    -4.1 1
-1926  1  3    -1.8    -2.2    -2.2 1
-1926  1  4    -1.4    -1.8    -1.8 1
-1926  1  5    -1.9    -2.3    -2.3 1
-1926  1  6    -0.8    -1.2    -1.2 1
-1926  1  7     0.8     0.4     0.4 1
-1926  1  8    -0.7    -1.1    -1.1 1
-1926  1  9    -2.7    -3.1    -3.1 1
-1926  1 10    -5.0    -5.4    -5.4 1
-1926  1 11    -4.3    -4.7    -4.7 1
-1926  1 12    -4.8    -5.2    -5.2 1
-1926  1 13    -5.1    -5.5    -5.5 1
-1926  1 14    -3.2    -3.7    -3.7 1
-1926  1 15    -2.0    -2.5    -2.5 1
-1926  1 16    -4.2    -4.7    -4.7 1
-1926  1 17    -5.0    -5.5    -5.5 1
-1926  1 18    -3.3    -3.8    -3.8 1
-1926  1 19    -3.6    -4.1    -4.1 1
-1926  1 20    -5.0    -5.4    -5.4 1
-1926  1 21    -6.6    -7.0    -7.0 1
-1926  1 22    -7.1    -7.5    -7.5 1
-1926  1 23    -2.1    -2.5    -2.5 1
-1926  1 24     1.4     1.0     1.0 1
-1926  1 25    -1.0    -1.4    -1.4 1
-1926  1 26    -8.2    -8.6    -8.6 1
-1926  1 27    -9.4    -9.8    -9.8 1
-1926  1 28    -0.1    -0.5    -0.5 1
-1926  1 29    -8.9    -9.3    -9.3 1
-1926  1 30    -2.4    -2.8    -2.8 1
-1926  1 31     0.3    -0.1    -0.1 1
-1926  2  1     0.2    -0.2    -0.2 1
-1926  2  2     0.4     0.0     0.0 1
-1926  2  3    -1.1    -1.5    -1.5 1
-1926  2  4    -5.3    -5.7    -5.7 1
-1926  2  5   -12.6   -13.0   -13.0 1
-1926  2  6   -13.8   -14.2   -14.2 1
-1926  2  7   -13.9   -14.3   -14.3 1
-1926  2  8   -11.1   -11.5   -11.5 1
-1926  2  9    -8.1    -8.5    -8.5 1
-1926  2 10    -5.6    -6.0    -6.0 1
-1926  2 11    -9.2    -9.6    -9.6 1
-1926  2 12   -13.3   -13.7   -13.7 1
-1926  2 13    -5.6    -6.0    -6.0 1
-1926  2 14    -8.8    -9.2    -9.2 1
-1926  2 15    -3.5    -3.9    -3.9 1
-1926  2 16     1.7     1.3     1.3 1
-1926  2 17     1.4     1.0     1.0 1
-1926  2 18     0.6     0.2     0.2 1
-1926  2 19    -1.5    -1.9    -1.9 1
-1926  2 20    -4.4    -4.8    -4.8 1
-1926  2 21    -5.0    -5.4    -5.4 1
-1926  2 22   -10.1   -10.5   -10.5 1
-1926  2 23    -1.7    -2.1    -2.1 1
-1926  2 24    -1.7    -2.1    -2.1 1
-1926  2 25     0.6     0.2     0.2 1
-1926  2 26     2.2     1.8     1.8 1
-1926  2 27     0.8     0.4     0.4 1
-1926  2 28     0.4     0.0     0.0 1
-1926  3  1     2.0     1.6     1.6 1
-1926  3  2     5.9     5.5     5.5 1
-1926  3  3     4.0     3.6     3.6 1
-1926  3  4     1.3     0.9     0.9 1
-1926  3  5    -0.6    -1.0    -1.0 1
-1926  3  6    -3.3    -3.7    -3.7 1
-1926  3  7    -2.5    -2.9    -2.9 1
-1926  3  8     2.0     1.6     1.6 1
-1926  3  9     4.3     3.8     3.8 1
-1926  3 10    -0.4    -0.9    -0.9 1
-1926  3 11    -0.6    -1.1    -1.1 1
-1926  3 12     0.2    -0.3    -0.3 1
-1926  3 13    -0.4    -0.9    -0.9 1
-1926  3 14    -1.0    -1.5    -1.5 1
-1926  3 15    -2.4    -2.9    -2.9 1
-1926  3 16    -0.6    -1.1    -1.1 1
-1926  3 17    -2.2    -2.7    -2.7 1
-1926  3 18    -2.1    -2.6    -2.6 1
-1926  3 19    -2.4    -2.9    -2.9 1
-1926  3 20    -2.4    -2.9    -2.9 1
-1926  3 21    -2.6    -3.0    -3.0 1
-1926  3 22    -2.6    -3.0    -3.0 1
-1926  3 23     1.2     0.8     0.8 1
-1926  3 24     1.3     0.9     0.9 1
-1926  3 25    -1.6    -2.0    -2.0 1
-1926  3 26    -0.3    -0.7    -0.7 1
-1926  3 27    -0.7    -1.1    -1.1 1
-1926  3 28     2.1     1.7     1.7 1
-1926  3 29     0.9     0.5     0.5 1
-1926  3 30     1.4     1.0     1.0 1
-1926  3 31     4.2     3.8     3.8 1
-1926  4  1     3.5     3.1     3.1 1
-1926  4  2     0.3    -0.1    -0.1 1
-1926  4  3     0.8     0.4     0.4 1
-1926  4  4     5.4     5.0     5.0 1
-1926  4  5     7.4     7.0     7.0 1
-1926  4  6     4.7     4.3     4.3 1
-1926  4  7    -1.4    -1.8    -1.8 1
-1926  4  8     0.6     0.2     0.2 1
-1926  4  9     0.0    -0.4    -0.4 1
-1926  4 10     1.5     1.2     1.2 1
-1926  4 11     1.7     1.4     1.4 1
-1926  4 12     2.5     2.2     2.2 1
-1926  4 13     3.3     3.0     3.0 1
-1926  4 14     4.5     4.2     4.2 1
-1926  4 15     4.0     3.7     3.7 1
-1926  4 16    12.1    11.8    11.8 1
-1926  4 17     8.2     7.9     7.9 1
-1926  4 18     1.6     1.2     1.2 1
-1926  4 19     1.9     1.5     1.5 1
-1926  4 20     1.3     0.9     0.9 1
-1926  4 21     1.3     0.9     0.9 1
-1926  4 22     3.9     3.5     3.5 1
-1926  4 23     3.7     3.3     3.3 1
-1926  4 24     3.0     2.6     2.6 1
-1926  4 25     4.1     3.7     3.7 1
-1926  4 26     5.8     5.3     5.3 1
-1926  4 27     6.5     6.0     6.0 1
-1926  4 28     4.2     3.7     3.7 1
-1926  4 29     6.0     5.5     5.5 1
-1926  4 30     8.3     7.8     7.8 1
-1926  5  1     8.7     8.2     8.2 1
-1926  5  2     5.8     5.3     5.3 1
-1926  5  3     3.2     2.7     2.7 1
-1926  5  4     4.1     3.5     3.5 1
-1926  5  5     2.8     2.2     2.2 1
-1926  5  6     3.6     3.0     3.0 1
-1926  5  7     4.3     3.7     3.7 1
-1926  5  8     5.9     5.3     5.3 1
-1926  5  9     3.0     2.4     2.4 1
-1926  5 10     3.9     3.3     3.3 1
-1926  5 11     5.2     4.6     4.6 1
-1926  5 12     9.3     8.6     8.6 1
-1926  5 13     9.5     8.8     8.8 1
-1926  5 14    10.9    10.2    10.2 1
-1926  5 15    10.1     9.4     9.4 1
-1926  5 16     7.7     7.0     7.0 1
-1926  5 17     8.1     7.4     7.4 1
-1926  5 18     9.6     8.9     8.9 1
-1926  5 19     8.6     7.9     7.9 1
-1926  5 20    11.0    10.3    10.3 1
-1926  5 21    10.5     9.8     9.8 1
-1926  5 22    12.5    11.8    11.8 1
-1926  5 23    12.2    11.5    11.5 1
-1926  5 24     9.5     8.9     8.9 1
-1926  5 25     9.3     8.7     8.7 1
-1926  5 26    11.8    11.2    11.2 1
-1926  5 27    13.8    13.2    13.2 1
-1926  5 28    13.8    13.2    13.2 1
-1926  5 29    12.8    12.2    12.2 1
-1926  5 30    12.5    11.9    11.9 1
-1926  5 31    12.8    12.2    12.2 1
-1926  6  1    12.5    11.9    11.9 1
-1926  6  2    13.3    12.7    12.7 1
-1926  6  3    13.7    13.1    13.1 1
-1926  6  4    15.7    15.1    15.1 1
-1926  6  5    15.7    15.1    15.1 1
-1926  6  6    17.3    16.7    16.7 1
-1926  6  7    18.9    18.3    18.3 1
-1926  6  8    19.4    18.8    18.8 1
-1926  6  9    11.9    11.3    11.3 1
-1926  6 10     9.8     9.2     9.2 1
-1926  6 11    11.5    11.0    11.0 1
-1926  6 12    11.6    11.1    11.1 1
-1926  6 13    12.6    12.1    12.1 1
-1926  6 14    14.2    13.7    13.7 1
-1926  6 15    16.6    16.1    16.1 1
-1926  6 16    15.6    15.1    15.1 1
-1926  6 17    10.1     9.6     9.6 1
-1926  6 18     9.7     9.2     9.2 1
-1926  6 19    13.3    12.8    12.8 1
-1926  6 20    11.7    11.2    11.2 1
-1926  6 21    12.1    11.6    11.6 1
-1926  6 22    14.8    14.3    14.3 1
-1926  6 23    13.5    13.0    13.0 1
-1926  6 24    14.2    13.7    13.7 1
-1926  6 25    14.5    14.0    14.0 1
-1926  6 26    15.1    14.6    14.6 1
-1926  6 27    15.0    14.5    14.5 1
-1926  6 28    15.4    14.9    14.9 1
-1926  6 29    17.6    17.1    17.1 1
-1926  6 30    16.2    15.7    15.7 1
-1926  7  1    19.0    18.5    18.5 1
-1926  7  2    20.3    19.8    19.8 1
-1926  7  3    19.5    19.0    19.0 1
-1926  7  4    17.1    16.6    16.6 1
-1926  7  5    17.6    17.1    17.1 1
-1926  7  6    19.7    19.2    19.2 1
-1926  7  7    20.9    20.4    20.4 1
-1926  7  8    18.4    17.9    17.9 1
-1926  7  9    20.6    20.1    20.1 1
-1926  7 10    18.4    17.9    17.9 1
-1926  7 11    20.4    19.9    19.9 1
-1926  7 12    22.9    22.4    22.4 1
-1926  7 13    23.6    23.1    23.1 1
-1926  7 14    24.8    24.3    24.3 1
-1926  7 15    17.6    17.1    17.1 1
-1926  7 16    15.1    14.6    14.6 1
-1926  7 17    18.3    17.8    17.8 1
-1926  7 18    19.0    18.5    18.5 1
-1926  7 19    19.9    19.4    19.4 1
-1926  7 20    19.0    18.5    18.5 1
-1926  7 21    18.5    18.0    18.0 1
-1926  7 22    14.4    14.0    14.0 1
-1926  7 23    16.8    16.4    16.4 1
-1926  7 24    18.3    17.9    17.9 1
-1926  7 25    17.7    17.3    17.3 1
-1926  7 26    16.8    16.4    16.4 1
-1926  7 27    17.0    16.6    16.6 1
-1926  7 28    15.3    14.9    14.9 1
-1926  7 29    16.7    16.3    16.3 1
-1926  7 30    18.2    17.8    17.8 1
-1926  7 31    17.8    17.4    17.4 1
-1926  8  1    14.3    13.9    13.9 1
-1926  8  2    16.7    16.3    16.3 1
-1926  8  3    15.6    15.2    15.2 1
-1926  8  4    15.8    15.5    15.5 1
-1926  8  5    16.5    16.2    16.2 1
-1926  8  6    17.4    17.1    17.1 1
-1926  8  7    16.7    16.4    16.4 1
-1926  8  8    17.9    17.6    17.6 1
-1926  8  9    17.6    17.3    17.3 1
-1926  8 10    19.4    19.1    19.1 1
-1926  8 11    19.1    18.8    18.8 1
-1926  8 12    18.1    17.8    17.8 1
-1926  8 13    16.4    16.1    16.1 1
-1926  8 14    17.4    17.1    17.1 1
-1926  8 15    16.4    16.1    16.1 1
-1926  8 16    13.9    13.6    13.6 1
-1926  8 17    13.7    13.5    13.5 1
-1926  8 18    15.9    15.7    15.7 1
-1926  8 19    17.3    17.1    17.1 1
-1926  8 20    17.4    17.2    17.2 1
-1926  8 21    15.0    14.8    14.8 1
-1926  8 22    14.3    14.1    14.1 1
-1926  8 23    14.0    13.8    13.8 1
-1926  8 24    12.9    12.7    12.7 1
-1926  8 25    15.0    14.8    14.8 1
-1926  8 26    13.4    13.2    13.2 1
-1926  8 27    12.8    12.6    12.6 1
-1926  8 28    12.8    12.7    12.7 1
-1926  8 29    13.6    13.5    13.5 1
-1926  8 30    15.1    15.0    15.0 1
-1926  8 31    16.8    16.7    16.7 1
-1926  9  1    14.3    14.2    14.2 1
-1926  9  2    14.6    14.5    14.5 1
-1926  9  3    12.9    12.8    12.8 1
-1926  9  4    14.7    14.6    14.6 1
-1926  9  5    15.0    14.9    14.9 1
-1926  9  6    14.6    14.5    14.5 1
-1926  9  7    13.9    13.9    13.9 1
-1926  9  8    11.6    11.6    11.6 1
-1926  9  9     8.7     8.7     8.7 1
-1926  9 10    11.7    11.7    11.7 1
-1926  9 11    13.6    13.6    13.6 1
-1926  9 12    16.5    16.5    16.5 1
-1926  9 13    11.2    11.2    11.2 1
-1926  9 14     8.5     8.5     8.5 1
-1926  9 15     9.5     9.5     9.5 1
-1926  9 16     6.8     6.8     6.8 1
-1926  9 17     6.8     6.8     6.8 1
-1926  9 18     9.0     9.0     9.0 1
-1926  9 19    11.6    11.6    11.6 1
-1926  9 20    11.2    11.2    11.2 1
-1926  9 21    10.5    10.5    10.5 1
-1926  9 22    10.3    10.3    10.3 1
-1926  9 23    11.2    11.2    11.2 1
-1926  9 24    10.2    10.2    10.2 1
-1926  9 25    10.2    10.2    10.2 1
-1926  9 26    10.8    10.8    10.8 1
-1926  9 27    12.0    12.0    12.0 1
-1926  9 28    11.2    11.2    11.2 1
-1926  9 29     8.9     8.9     8.9 1
-1926  9 30     9.9     9.9     9.9 1
-1926 10  1    11.3    11.3    11.3 1
-1926 10  2     9.4     9.4     9.4 1
-1926 10  3     9.3     9.3     9.3 1
-1926 10  4     7.9     7.9     7.9 1
-1926 10  5     8.6     8.6     8.6 1
-1926 10  6     8.6     8.6     8.6 1
-1926 10  7    10.5    10.5    10.5 1
-1926 10  8    10.6    10.6    10.6 1
-1926 10  9    11.6    11.6    11.6 1
-1926 10 10     9.5     9.5     9.5 1
-1926 10 11     5.1     5.1     5.1 1
-1926 10 12     6.6     6.6     6.6 1
-1926 10 13     2.9     2.9     2.9 1
-1926 10 14     2.5     2.5     2.5 1
-1926 10 15     2.0     2.0     2.0 1
-1926 10 16     1.0     1.0     1.0 1
-1926 10 17     2.9     2.9     2.9 1
-1926 10 18     1.3     1.3     1.3 1
-1926 10 19     0.5     0.5     0.5 1
-1926 10 20    -0.5    -0.5    -0.5 1
-1926 10 21    -1.0    -1.0    -1.0 1
-1926 10 22     0.2     0.2     0.2 1
-1926 10 23     0.7     0.7     0.7 1
-1926 10 24    -2.5    -2.5    -2.5 1
-1926 10 25    -1.8    -1.8    -1.8 1
-1926 10 26     1.8     1.8     1.8 1
-1926 10 27     1.4     1.4     1.4 1
-1926 10 28     0.7     0.6     0.6 1
-1926 10 29     1.7     1.6     1.6 1
-1926 10 30     1.0     0.9     0.9 1
-1926 10 31     0.0    -0.1    -0.1 1
-1926 11  1    -4.7    -4.8    -4.8 1
-1926 11  2    -2.7    -2.8    -2.8 1
-1926 11  3     1.6     1.5     1.5 1
-1926 11  4     0.6     0.5     0.5 1
-1926 11  5     4.3     4.2     4.2 1
-1926 11  6     6.1     6.0     6.0 1
-1926 11  7     6.8     6.7     6.7 1
-1926 11  8     4.0     3.9     3.9 1
-1926 11  9     5.7     5.6     5.6 1
-1926 11 10     6.7     6.6     6.6 1
-1926 11 11     5.2     5.1     5.1 1
-1926 11 12     4.8     4.7     4.7 1
-1926 11 13     6.3     6.2     6.2 1
-1926 11 14     7.5     7.3     7.3 1
-1926 11 15     7.5     7.3     7.3 1
-1926 11 16     5.6     5.4     5.4 1
-1926 11 17     3.7     3.5     3.5 1
-1926 11 18     5.4     5.2     5.2 1
-1926 11 19     3.8     3.6     3.6 1
-1926 11 20     6.7     6.5     6.5 1
-1926 11 21     7.3     7.1     7.1 1
-1926 11 22     6.6     6.4     6.4 1
-1926 11 23     2.5     2.3     2.3 1
-1926 11 24     3.1     2.9     2.9 1
-1926 11 25     5.1     4.9     4.9 1
-1926 11 26     3.1     2.9     2.9 1
-1926 11 27     1.8     1.6     1.6 1
-1926 11 28    -1.1    -1.3    -1.3 1
-1926 11 29    -1.2    -1.4    -1.4 1
-1926 11 30    -3.3    -3.5    -3.5 1
-1926 12  1    -3.3    -3.5    -3.5 1
-1926 12  2    -3.2    -3.4    -3.4 1
-1926 12  3     0.7     0.5     0.5 1
-1926 12  4     0.7     0.5     0.5 1
-1926 12  5    -0.6    -0.8    -0.8 1
-1926 12  6    -0.1    -0.3    -0.3 1
-1926 12  7    -0.9    -1.1    -1.1 1
-1926 12  8     1.0     0.8     0.8 1
-1926 12  9    -0.6    -0.8    -0.8 1
-1926 12 10     2.8     2.6     2.6 1
-1926 12 11     1.5     1.3     1.3 1
-1926 12 12     4.1     3.9     3.9 1
-1926 12 13    -0.8    -1.0    -1.0 1
-1926 12 14    -4.2    -4.4    -4.4 1
-1926 12 15    -7.7    -7.9    -7.9 1
-1926 12 16    -6.9    -7.1    -7.1 1
-1926 12 17    -7.3    -7.5    -7.5 1
-1926 12 18    -7.0    -7.2    -7.2 1
-1926 12 19    -3.7    -3.9    -3.9 1
-1926 12 20    -3.4    -3.6    -3.6 1
-1926 12 21    -3.0    -3.2    -3.2 1
-1926 12 22    -9.0    -9.3    -9.3 1
-1926 12 23    -6.8    -7.1    -7.1 1
-1926 12 24    -5.0    -5.3    -5.3 1
-1926 12 25    -4.0    -4.3    -4.3 1
-1926 12 26    -4.7    -5.0    -5.0 1
-1926 12 27     3.5     3.2     3.2 1
-1926 12 28     1.8     1.5     1.5 1
-1926 12 29    -6.4    -6.7    -6.7 1
-1926 12 30    -3.9    -4.2    -4.2 1
-1926 12 31    -5.8    -6.1    -6.1 1
-1927  1  1    -7.4    -7.7    -7.7 1
-1927  1  2    -9.9   -10.3   -10.3 1
-1927  1  3     2.6     2.2     2.2 1
-1927  1  4     2.5     2.1     2.1 1
-1927  1  5    -3.1    -3.5    -3.5 1
-1927  1  6    -8.1    -8.5    -8.5 1
-1927  1  7    -2.6    -3.0    -3.0 1
-1927  1  8    -0.6    -1.0    -1.0 1
-1927  1  9     0.2    -0.2    -0.2 1
-1927  1 10    -1.1    -1.5    -1.5 1
-1927  1 11    -6.0    -6.4    -6.4 1
-1927  1 12    -1.0    -1.4    -1.4 1
-1927  1 13    -1.8    -2.3    -2.3 1
-1927  1 14    -2.5    -3.0    -3.0 1
-1927  1 15    -0.8    -1.3    -1.3 1
-1927  1 16     1.5     1.0     1.0 1
-1927  1 17     0.4    -0.1    -0.1 1
-1927  1 18     0.1    -0.4    -0.4 1
-1927  1 19    -1.3    -1.8    -1.8 1
-1927  1 20    -0.6    -1.1    -1.1 1
-1927  1 21    -1.9    -2.4    -2.4 1
-1927  1 22    -2.5    -3.0    -3.0 1
-1927  1 23    -4.9    -5.3    -5.3 1
-1927  1 24    -6.1    -6.5    -6.5 1
-1927  1 25    -0.3    -0.7    -0.7 1
-1927  1 26     2.5     2.1     2.1 1
-1927  1 27     1.7     1.3     1.3 1
-1927  1 28     3.1     2.7     2.7 1
-1927  1 29     4.1     3.7     3.7 1
-1927  1 30     2.0     1.6     1.6 1
-1927  1 31     0.9     0.5     0.5 1
-1927  2  1     1.8     1.4     1.4 1
-1927  2  2     1.3     0.9     0.9 1
-1927  2  3     0.5     0.1     0.1 1
-1927  2  4     2.9     2.5     2.5 1
-1927  2  5     1.4     1.0     1.0 1
-1927  2  6    -2.5    -2.9    -2.9 1
-1927  2  7    -3.5    -3.9    -3.9 1
-1927  2  8    -3.9    -4.3    -4.3 1
-1927  2  9    -0.5    -0.9    -0.9 1
-1927  2 10    -0.2    -0.6    -0.6 1
-1927  2 11    -3.0    -3.4    -3.4 1
-1927  2 12    -4.7    -5.1    -5.1 1
-1927  2 13    -4.3    -4.7    -4.7 1
-1927  2 14    -3.5    -3.9    -3.9 1
-1927  2 15    -3.2    -3.6    -3.6 1
-1927  2 16     1.1     0.7     0.7 1
-1927  2 17    -4.4    -4.8    -4.8 1
-1927  2 18    -6.2    -6.6    -6.6 1
-1927  2 19    -7.7    -8.1    -8.1 1
-1927  2 20    -6.2    -6.6    -6.6 1
-1927  2 21    -3.6    -4.0    -4.0 1
-1927  2 22    -1.5    -1.9    -1.9 1
-1927  2 23     0.2    -0.2    -0.2 1
-1927  2 24    -0.2    -0.6    -0.6 1
-1927  2 25    -0.7    -1.1    -1.1 1
-1927  2 26     0.0    -0.4    -0.4 1
-1927  2 27     1.6     1.2     1.2 1
-1927  2 28     0.6     0.2     0.2 1
-1927  3  1     1.2     0.8     0.8 1
-1927  3  2     1.8     1.4     1.4 1
-1927  3  3     3.0     2.6     2.6 1
-1927  3  4     2.5     2.1     2.1 1
-1927  3  5     1.3     0.8     0.8 1
-1927  3  6     2.1     1.6     1.6 1
-1927  3  7     3.2     2.7     2.7 1
-1927  3  8     1.1     0.6     0.6 1
-1927  3  9     1.7     1.2     1.2 1
-1927  3 10     0.8     0.3     0.3 1
-1927  3 11     0.4    -0.1    -0.1 1
-1927  3 12    -0.6    -1.1    -1.1 1
-1927  3 13     1.0     0.5     0.5 1
-1927  3 14     3.0     2.5     2.5 1
-1927  3 15     3.7     3.2     3.2 1
-1927  3 16     2.5     2.0     2.0 1
-1927  3 17     4.7     4.2     4.2 1
-1927  3 18     6.1     5.6     5.6 1
-1927  3 19     4.7     4.2     4.2 1
-1927  3 20     6.5     6.0     6.0 1
-1927  3 21     5.8     5.3     5.3 1
-1927  3 22     4.5     4.0     4.0 1
-1927  3 23    -2.2    -2.6    -2.6 1
-1927  3 24    -1.9    -2.3    -2.3 1
-1927  3 25     0.3    -0.1    -0.1 1
-1927  3 26     1.8     1.4     1.4 1
-1927  3 27     0.1    -0.3    -0.3 1
-1927  3 28     0.6     0.2     0.2 1
-1927  3 29    -2.0    -2.4    -2.4 1
-1927  3 30    -0.9    -1.3    -1.3 1
-1927  3 31     1.3     0.9     0.9 1
-1927  4  1    -1.0    -1.4    -1.4 1
-1927  4  2     0.3    -0.1    -0.1 1
-1927  4  3     0.0    -0.4    -0.4 1
-1927  4  4     1.1     0.7     0.7 1
-1927  4  5     0.7     0.3     0.3 1
-1927  4  6     2.2     1.8     1.8 1
-1927  4  7     2.8     2.4     2.4 1
-1927  4  8     1.4     1.0     1.0 1
-1927  4  9     2.3     1.9     1.9 1
-1927  4 10     4.9     4.5     4.5 1
-1927  4 11     5.2     4.8     4.8 1
-1927  4 12     2.6     2.3     2.3 1
-1927  4 13     4.2     3.9     3.9 1
-1927  4 14     3.6     3.3     3.3 1
-1927  4 15     4.6     4.3     4.3 1
-1927  4 16     3.6     3.3     3.3 1
-1927  4 17     3.3     2.9     2.9 1
-1927  4 18     7.7     7.3     7.3 1
-1927  4 19     6.4     6.0     6.0 1
-1927  4 20     7.7     7.3     7.3 1
-1927  4 21     2.3     1.9     1.9 1
-1927  4 22     3.1     2.7     2.7 1
-1927  4 23     3.5     3.1     3.1 1
-1927  4 24     1.9     1.5     1.5 1
-1927  4 25     1.0     0.5     0.5 1
-1927  4 26     1.2     0.7     0.7 1
-1927  4 27     2.9     2.4     2.4 1
-1927  4 28     3.5     3.0     3.0 1
-1927  4 29     3.4     2.9     2.9 1
-1927  4 30     2.9     2.4     2.4 1
-1927  5  1     4.9     4.4     4.4 1
-1927  5  2     5.9     5.4     5.4 1
-1927  5  3     7.2     6.6     6.6 1
-1927  5  4     8.4     7.8     7.8 1
-1927  5  5     7.7     7.1     7.1 1
-1927  5  6     3.4     2.8     2.8 1
-1927  5  7     6.5     5.9     5.9 1
-1927  5  8     8.6     8.0     8.0 1
-1927  5  9     6.3     5.7     5.7 1
-1927  5 10     1.7     1.1     1.1 1
-1927  5 11     2.2     1.5     1.5 1
-1927  5 12     2.0     1.3     1.3 1
-1927  5 13     2.6     1.9     1.9 1
-1927  5 14     1.9     1.2     1.2 1
-1927  5 15     3.2     2.5     2.5 1
-1927  5 16     6.3     5.6     5.6 1
-1927  5 17     7.1     6.4     6.4 1
-1927  5 18     4.8     4.1     4.1 1
-1927  5 19     8.2     7.5     7.5 1
-1927  5 20     5.8     5.1     5.1 1
-1927  5 21     8.2     7.5     7.5 1
-1927  5 22     6.8     6.1     6.1 1
-1927  5 23     8.1     7.4     7.4 1
-1927  5 24     8.9     8.2     8.2 1
-1927  5 25     7.5     6.8     6.8 1
-1927  5 26     5.9     5.2     5.2 1
-1927  5 27     7.2     6.6     6.6 1
-1927  5 28     6.4     5.8     5.8 1
-1927  5 29     8.9     8.3     8.3 1
-1927  5 30     9.4     8.8     8.8 1
-1927  5 31    11.1    10.5    10.5 1
-1927  6  1     7.8     7.2     7.2 1
-1927  6  2    12.1    11.5    11.5 1
-1927  6  3    12.9    12.3    12.3 1
-1927  6  4    14.0    13.4    13.4 1
-1927  6  5    12.1    11.5    11.5 1
-1927  6  6    12.4    11.8    11.8 1
-1927  6  7    13.6    13.0    13.0 1
-1927  6  8    11.9    11.3    11.3 1
-1927  6  9    11.1    10.5    10.5 1
-1927  6 10     9.4     8.8     8.8 1
-1927  6 11    10.8    10.2    10.2 1
-1927  6 12    11.6    11.0    11.0 1
-1927  6 13    13.6    13.0    13.0 1
-1927  6 14    14.2    13.7    13.7 1
-1927  6 15    15.0    14.5    14.5 1
-1927  6 16    14.1    13.6    13.6 1
-1927  6 17    16.1    15.6    15.6 1
-1927  6 18    16.9    16.4    16.4 1
-1927  6 19    14.8    14.3    14.3 1
-1927  6 20    11.6    11.1    11.1 1
-1927  6 21    13.9    13.4    13.4 1
-1927  6 22    12.0    11.5    11.5 1
-1927  6 23    13.8    13.3    13.3 1
-1927  6 24    12.9    12.4    12.4 1
-1927  6 25    10.5    10.0    10.0 1
-1927  6 26    10.7    10.2    10.2 1
-1927  6 27    14.5    14.0    14.0 1
-1927  6 28    16.7    16.2    16.2 1
-1927  6 29    11.4    10.9    10.9 1
-1927  6 30    11.1    10.6    10.6 1
-1927  7  1    14.3    13.8    13.8 1
-1927  7  2    15.9    15.4    15.4 1
-1927  7  3    15.9    15.4    15.4 1
-1927  7  4    16.6    16.1    16.1 1
-1927  7  5    20.9    20.4    20.4 1
-1927  7  6    20.7    20.2    20.2 1
-1927  7  7    21.6    21.1    21.1 1
-1927  7  8    22.9    22.4    22.4 1
-1927  7  9    21.0    20.5    20.5 1
-1927  7 10    20.4    19.9    19.9 1
-1927  7 11    21.6    21.1    21.1 1
-1927  7 12    23.0    22.5    22.5 1
-1927  7 13    21.8    21.3    21.3 1
-1927  7 14    23.0    22.5    22.5 1
-1927  7 15    23.9    23.4    23.4 1
-1927  7 16    23.7    23.2    23.2 1
-1927  7 17    22.7    22.2    22.2 1
-1927  7 18    22.3    21.8    21.8 1
-1927  7 19    18.5    18.0    18.0 1
-1927  7 20    13.7    13.2    13.2 1
-1927  7 21    15.7    15.2    15.2 1
-1927  7 22    17.3    16.8    16.8 1
-1927  7 23    17.0    16.5    16.5 1
-1927  7 24    15.7    15.3    15.3 1
-1927  7 25    16.7    16.3    16.3 1
-1927  7 26    17.4    17.0    17.0 1
-1927  7 27    15.8    15.4    15.4 1
-1927  7 28    18.5    18.1    18.1 1
-1927  7 29    17.7    17.3    17.3 1
-1927  7 30    18.6    18.2    18.2 1
-1927  7 31    21.0    20.6    20.6 1
-1927  8  1    21.2    20.8    20.8 1
-1927  8  2    21.6    21.2    21.2 1
-1927  8  3    17.6    17.2    17.2 1
-1927  8  4    16.8    16.4    16.4 1
-1927  8  5    17.9    17.5    17.5 1
-1927  8  6    19.1    18.8    18.8 1
-1927  8  7    21.3    21.0    21.0 1
-1927  8  8    21.6    21.3    21.3 1
-1927  8  9    22.0    21.7    21.7 1
-1927  8 10    22.2    21.9    21.9 1
-1927  8 11    18.6    18.3    18.3 1
-1927  8 12    17.6    17.3    17.3 1
-1927  8 13    18.0    17.7    17.7 1
-1927  8 14    15.5    15.2    15.2 1
-1927  8 15    15.6    15.3    15.3 1
-1927  8 16    15.4    15.1    15.1 1
-1927  8 17    15.3    15.0    15.0 1
-1927  8 18    15.6    15.4    15.4 1
-1927  8 19    16.5    16.3    16.3 1
-1927  8 20    16.0    15.8    15.8 1
-1927  8 21    15.7    15.5    15.5 1
-1927  8 22    16.1    15.9    15.9 1
-1927  8 23    16.7    16.5    16.5 1
-1927  8 24    16.5    16.3    16.3 1
-1927  8 25    14.7    14.5    14.5 1
-1927  8 26    14.1    13.9    13.9 1
-1927  8 27    14.7    14.5    14.5 1
-1927  8 28    16.8    16.6    16.6 1
-1927  8 29    15.9    15.8    15.8 1
-1927  8 30    15.8    15.7    15.7 1
-1927  8 31    14.5    14.4    14.4 1
-1927  9  1    15.4    15.3    15.3 1
-1927  9  2    14.9    14.8    14.8 1
-1927  9  3    15.5    15.4    15.4 1
-1927  9  4    15.9    15.8    15.8 1
-1927  9  5    16.6    16.5    16.5 1
-1927  9  6    16.0    15.9    15.9 1
-1927  9  7    17.2    17.1    17.1 1
-1927  9  8    14.4    14.4    14.4 1
-1927  9  9    11.8    11.8    11.8 1
-1927  9 10    13.0    13.0    13.0 1
-1927  9 11     9.5     9.5     9.5 1
-1927  9 12     8.7     8.7     8.7 1
-1927  9 13     8.2     8.2     8.2 1
-1927  9 14     8.4     8.4     8.4 1
-1927  9 15     8.4     8.4     8.4 1
-1927  9 16    11.6    11.6    11.6 1
-1927  9 17    13.8    13.8    13.8 1
-1927  9 18    11.6    11.6    11.6 1
-1927  9 19     9.2     9.2     9.2 1
-1927  9 20     8.9     8.9     8.9 1
-1927  9 21     9.7     9.7     9.7 1
-1927  9 22     8.9     8.9     8.9 1
-1927  9 23     9.1     9.1     9.1 1
-1927  9 24    10.9    10.9    10.9 1
-1927  9 25    10.6    10.6    10.6 1
-1927  9 26    11.1    11.1    11.1 1
-1927  9 27    10.4    10.4    10.4 1
-1927  9 28     9.0     9.0     9.0 1
-1927  9 29     8.5     8.5     8.5 1
-1927  9 30    10.0    10.0    10.0 1
-1927 10  1    10.8    10.8    10.8 1
-1927 10  2    11.6    11.6    11.6 1
-1927 10  3     8.8     8.8     8.8 1
-1927 10  4     8.7     8.7     8.7 1
-1927 10  5     7.5     7.5     7.5 1
-1927 10  6     6.1     6.1     6.1 1
-1927 10  7     6.2     6.2     6.2 1
-1927 10  8     8.4     8.4     8.4 1
-1927 10  9     8.4     8.4     8.4 1
-1927 10 10     9.7     9.7     9.7 1
-1927 10 11     5.8     5.8     5.8 1
-1927 10 12     1.6     1.6     1.6 1
-1927 10 13     3.6     3.6     3.6 1
-1927 10 14     2.7     2.7     2.7 1
-1927 10 15     2.4     2.4     2.4 1
-1927 10 16     5.2     5.2     5.2 1
-1927 10 17     5.3     5.3     5.3 1
-1927 10 18     3.3     3.3     3.3 1
-1927 10 19     4.8     4.8     4.8 1
-1927 10 20     2.2     2.2     2.2 1
-1927 10 21     2.5     2.5     2.5 1
-1927 10 22     2.0     2.0     2.0 1
-1927 10 23     0.9     0.9     0.9 1
-1927 10 24     2.6     2.6     2.6 1
-1927 10 25     1.2     1.2     1.2 1
-1927 10 26     5.1     5.1     5.1 1
-1927 10 27     5.8     5.7     5.7 1
-1927 10 28     5.3     5.2     5.2 1
-1927 10 29     8.0     7.9     7.9 1
-1927 10 30     3.8     3.7     3.7 1
-1927 10 31     9.8     9.7     9.7 1
-1927 11  1     3.1     3.0     3.0 1
-1927 11  2    -0.5    -0.6    -0.6 1
-1927 11  3     4.3     4.2     4.2 1
-1927 11  4     6.9     6.8     6.8 1
-1927 11  5     3.6     3.5     3.5 1
-1927 11  6     4.0     3.9     3.9 1
-1927 11  7     2.5     2.4     2.4 1
-1927 11  8    -1.1    -1.2    -1.2 1
-1927 11  9    -3.1    -3.2    -3.2 1
-1927 11 10    -2.4    -2.5    -2.5 1
-1927 11 11    -2.9    -3.0    -3.0 1
-1927 11 12    -5.1    -5.3    -5.3 1
-1927 11 13    -4.6    -4.8    -4.8 1
-1927 11 14    -6.1    -6.3    -6.3 1
-1927 11 15    -6.3    -6.5    -6.5 1
-1927 11 16    -1.4    -1.6    -1.6 1
-1927 11 17    -1.5    -1.7    -1.7 1
-1927 11 18    -1.7    -1.9    -1.9 1
-1927 11 19    -2.0    -2.2    -2.2 1
-1927 11 20    -2.4    -2.6    -2.6 1
-1927 11 21    -0.8    -1.0    -1.0 1
-1927 11 22    -1.7    -1.9    -1.9 1
-1927 11 23    -0.6    -0.8    -0.8 1
-1927 11 24    -0.7    -0.9    -0.9 1
-1927 11 25     1.4     1.2     1.2 1
-1927 11 26     0.8     0.6     0.6 1
-1927 11 27     3.8     3.6     3.6 1
-1927 11 28     1.8     1.6     1.6 1
-1927 11 29     0.5     0.3     0.3 1
-1927 11 30    -0.7    -0.9    -0.9 1
-1927 12  1    -2.7    -2.9    -2.9 1
-1927 12  2    -2.6    -2.8    -2.8 1
-1927 12  3    -1.7    -1.9    -1.9 1
-1927 12  4    -0.9    -1.1    -1.1 1
-1927 12  5     0.4     0.2     0.2 1
-1927 12  6     0.3     0.1     0.1 1
-1927 12  7     0.2     0.0     0.0 1
-1927 12  8     0.0    -0.2    -0.2 1
-1927 12  9    -1.0    -1.2    -1.2 1
-1927 12 10    -3.5    -3.7    -3.7 1
-1927 12 11    -6.3    -6.5    -6.5 1
-1927 12 12    -3.9    -4.1    -4.1 1
-1927 12 13    -6.7    -6.9    -6.9 1
-1927 12 14    -6.6    -6.8    -6.8 1
-1927 12 15    -8.6    -8.8    -8.8 1
-1927 12 16    -9.2    -9.4    -9.4 1
-1927 12 17    -7.9    -8.1    -8.1 1
-1927 12 18    -8.4    -8.6    -8.6 1
-1927 12 19    -9.9   -10.1   -10.1 1
-1927 12 20   -10.2   -10.4   -10.4 1
-1927 12 21    -9.4    -9.7    -9.7 1
-1927 12 22    -3.8    -4.1    -4.1 1
-1927 12 23    -1.8    -2.1    -2.1 1
-1927 12 24    -4.4    -4.7    -4.7 1
-1927 12 25    -9.7   -10.0   -10.0 1
-1927 12 26   -12.3   -12.6   -12.6 1
-1927 12 27   -10.8   -11.1   -11.1 1
-1927 12 28    -8.7    -9.0    -9.0 1
-1927 12 29    -2.7    -3.0    -3.0 1
-1927 12 30    -4.0    -4.3    -4.3 1
-1927 12 31    -6.0    -6.3    -6.3 1
-1928  1  1    -5.9    -6.3    -6.3 1
-1928  1  2    -5.6    -6.0    -6.0 1
-1928  1  3    -6.9    -7.3    -7.3 1
-1928  1  4    -4.8    -5.2    -5.2 1
-1928  1  5    -1.4    -1.8    -1.8 1
-1928  1  6    -5.4    -5.8    -5.8 1
-1928  1  7    -8.0    -8.4    -8.4 1
-1928  1  8    -2.2    -2.6    -2.6 1
-1928  1  9    -0.3    -0.7    -0.7 1
-1928  1 10     0.3    -0.1    -0.1 1
-1928  1 11     1.9     1.5     1.5 1
-1928  1 12     1.1     0.6     0.6 1
-1928  1 13     1.4     0.9     0.9 1
-1928  1 14    -0.6    -1.1    -1.1 1
-1928  1 15    -3.8    -4.3    -4.3 1
-1928  1 16    -4.9    -5.4    -5.4 1
-1928  1 17    -7.3    -7.8    -7.8 1
-1928  1 18   -10.1   -10.6   -10.6 1
-1928  1 19    -7.0    -7.5    -7.5 1
-1928  1 20    -4.0    -4.5    -4.5 1
-1928  1 21    -3.8    -4.3    -4.3 1
-1928  1 22    -1.9    -2.4    -2.4 1
-1928  1 23    -3.1    -3.6    -3.6 1
-1928  1 24    -2.4    -2.9    -2.9 1
-1928  1 25     1.4     0.9     0.9 1
-1928  1 26     1.6     1.1     1.1 1
-1928  1 27     0.3    -0.1    -0.1 1
-1928  1 28    -0.8    -1.2    -1.2 1
-1928  1 29     0.0    -0.4    -0.4 1
-1928  1 30     0.1    -0.3    -0.3 1
-1928  1 31    -0.4    -0.8    -0.8 1
-1928  2  1    -0.1    -0.5    -0.5 1
-1928  2  2     1.2     0.8     0.8 1
-1928  2  3    -0.4    -0.8    -0.8 1
-1928  2  4     0.1    -0.3    -0.3 1
-1928  2  5     0.4     0.0     0.0 1
-1928  2  6     1.5     1.1     1.1 1
-1928  2  7     1.3     0.9     0.9 1
-1928  2  8     3.2     2.8     2.8 1
-1928  2  9     5.1     4.7     4.7 1
-1928  2 10     1.3     0.9     0.9 1
-1928  2 11    -0.7    -1.1    -1.1 1
-1928  2 12    -4.2    -4.6    -4.6 1
-1928  2 13    -7.7    -8.1    -8.1 1
-1928  2 14    -7.1    -7.5    -7.5 1
-1928  2 15    -3.9    -4.3    -4.3 1
-1928  2 16     1.2     0.8     0.8 1
-1928  2 17    -5.1    -5.5    -5.5 1
-1928  2 18    -9.7   -10.1   -10.1 1
-1928  2 19    -7.2    -7.6    -7.6 1
-1928  2 20    -6.0    -6.4    -6.4 1
-1928  2 21    -5.7    -6.1    -6.1 1
-1928  2 22    -6.3    -6.7    -6.7 1
-1928  2 23    -2.2    -2.6    -2.6 1
-1928  2 24    -1.7    -2.1    -2.1 1
-1928  2 25    -1.9    -2.3    -2.3 1
-1928  2 26     0.3    -0.1    -0.1 1
-1928  2 27    -0.3    -0.7    -0.7 1
-1928  2 28    -0.7    -1.1    -1.1 1
-1928  2 29    -5.3    -5.7    -5.7 1
-1928  3  1    -5.2    -5.6    -5.6 1
-1928  3  2    -2.0    -2.5    -2.5 1
-1928  3  3    -0.4    -0.9    -0.9 1
-1928  3  4    -4.5    -5.0    -5.0 1
-1928  3  5     0.3    -0.2    -0.2 1
-1928  3  6    -1.0    -1.5    -1.5 1
-1928  3  7    -4.6    -5.1    -5.1 1
-1928  3  8    -6.6    -7.1    -7.1 1
-1928  3  9    -7.7    -8.2    -8.2 1
-1928  3 10    -8.1    -8.6    -8.6 1
-1928  3 11    -4.7    -5.2    -5.2 1
-1928  3 12    -1.7    -2.2    -2.2 1
-1928  3 13    -2.6    -3.1    -3.1 1
-1928  3 14    -4.7    -5.2    -5.2 1
-1928  3 15    -2.3    -2.8    -2.8 1
-1928  3 16    -1.8    -2.3    -2.3 1
-1928  3 17    -1.2    -1.7    -1.7 1
-1928  3 18    -0.2    -0.7    -0.7 1
-1928  3 19     0.7     0.2     0.2 1
-1928  3 20     0.5     0.0     0.0 1
-1928  3 21     0.2    -0.3    -0.3 1
-1928  3 22     2.1     1.6     1.6 1
-1928  3 23     2.5     2.0     2.0 1
-1928  3 24     2.2     1.7     1.7 1
-1928  3 25     0.4    -0.1    -0.1 1
-1928  3 26    -0.2    -0.6    -0.6 1
-1928  3 27     0.7     0.3     0.3 1
-1928  3 28    -0.3    -0.7    -0.7 1
-1928  3 29     0.8     0.4     0.4 1
-1928  3 30     1.0     0.6     0.6 1
-1928  3 31     1.1     0.7     0.7 1
-1928  4  1     2.9     2.5     2.5 1
-1928  4  2     3.2     2.8     2.8 1
-1928  4  3     1.2     0.8     0.8 1
-1928  4  4     2.9     2.5     2.5 1
-1928  4  5     1.9     1.5     1.5 1
-1928  4  6     3.8     3.4     3.4 1
-1928  4  7     5.9     5.5     5.5 1
-1928  4  8     7.2     6.8     6.8 1
-1928  4  9     7.4     7.0     7.0 1
-1928  4 10     2.4     2.0     2.0 1
-1928  4 11    -1.2    -1.6    -1.6 1
-1928  4 12    -1.3    -1.7    -1.7 1
-1928  4 13    -2.1    -2.5    -2.5 1
-1928  4 14    -1.3    -1.7    -1.7 1
-1928  4 15     1.0     0.7     0.7 1
-1928  4 16    -0.2    -0.6    -0.6 1
-1928  4 17     0.2    -0.2    -0.2 1
-1928  4 18     0.5     0.1     0.1 1
-1928  4 19     0.9     0.5     0.5 1
-1928  4 20     2.8     2.4     2.4 1
-1928  4 21     2.4     2.0     2.0 1
-1928  4 22     4.7     4.3     4.3 1
-1928  4 23     6.0     5.6     5.6 1
-1928  4 24     5.7     5.2     5.2 1
-1928  4 25     7.9     7.4     7.4 1
-1928  4 26    10.1     9.6     9.6 1
-1928  4 27    10.6    10.1    10.1 1
-1928  4 28    10.0     9.5     9.5 1
-1928  4 29    10.5    10.0    10.0 1
-1928  4 30    10.4     9.9     9.9 1
-1928  5  1    10.7    10.2    10.2 1
-1928  5  2     6.1     5.5     5.5 1
-1928  5  3     8.0     7.4     7.4 1
-1928  5  4     7.8     7.2     7.2 1
-1928  5  5    11.3    10.7    10.7 1
-1928  5  6    12.8    12.2    12.2 1
-1928  5  7     5.1     4.5     4.5 1
-1928  5  8     1.5     0.9     0.9 1
-1928  5  9     4.0     3.3     3.3 1
-1928  5 10     4.9     4.2     4.2 1
-1928  5 11     5.3     4.6     4.6 1
-1928  5 12     6.1     5.4     5.4 1
-1928  5 13     5.6     4.9     4.9 1
-1928  5 14     7.8     7.1     7.1 1
-1928  5 15     8.1     7.4     7.4 1
-1928  5 16     6.8     6.1     6.1 1
-1928  5 17     6.1     5.4     5.4 1
-1928  5 18     8.1     7.4     7.4 1
-1928  5 19     8.5     7.8     7.8 1
-1928  5 20    10.0     9.3     9.3 1
-1928  5 21     9.2     8.5     8.5 1
-1928  5 22     8.4     7.7     7.7 1
-1928  5 23    11.4    10.7    10.7 1
-1928  5 24    11.7    11.0    11.0 1
-1928  5 25    13.4    12.7    12.7 1
-1928  5 26    13.2    12.5    12.5 1
-1928  5 27     8.7     8.0     8.0 1
-1928  5 28     9.5     8.8     8.8 1
-1928  5 29    15.7    15.1    15.1 1
-1928  5 30     9.9     9.3     9.3 1
-1928  5 31     6.9     6.3     6.3 1
-1928  6  1     4.8     4.2     4.2 1
-1928  6  2     9.0     8.4     8.4 1
-1928  6  3    10.4     9.8     9.8 1
-1928  6  4     5.6     5.0     5.0 1
-1928  6  5     6.1     5.5     5.5 1
-1928  6  6     4.2     3.6     3.6 1
-1928  6  7     9.9     9.3     9.3 1
-1928  6  8     8.6     8.0     8.0 1
-1928  6  9    13.6    13.0    13.0 1
-1928  6 10    14.6    14.0    14.0 1
-1928  6 11    15.2    14.6    14.6 1
-1928  6 12    12.0    11.4    11.4 1
-1928  6 13    12.1    11.5    11.5 1
-1928  6 14    10.9    10.3    10.3 1
-1928  6 15    11.8    11.2    11.2 1
-1928  6 16    11.1    10.5    10.5 1
-1928  6 17    10.3     9.7     9.7 1
-1928  6 18     9.1     8.5     8.5 1
-1928  6 19     9.7     9.1     9.1 1
-1928  6 20     7.5     6.9     6.9 1
-1928  6 21     8.6     8.0     8.0 1
-1928  6 22    13.4    12.9    12.9 1
-1928  6 23    11.4    10.9    10.9 1
-1928  6 24    11.6    11.1    11.1 1
-1928  6 25    13.0    12.5    12.5 1
-1928  6 26    13.7    13.2    13.2 1
-1928  6 27    11.9    11.4    11.4 1
-1928  6 28    12.9    12.4    12.4 1
-1928  6 29    14.2    13.7    13.7 1
-1928  6 30    17.2    16.7    16.7 1
-1928  7  1    14.0    13.5    13.5 1
-1928  7  2    13.2    12.7    12.7 1
-1928  7  3    14.6    14.1    14.1 1
-1928  7  4    13.9    13.4    13.4 1
-1928  7  5    15.0    14.5    14.5 1
-1928  7  6    14.1    13.6    13.6 1
-1928  7  7    13.0    12.5    12.5 1
-1928  7  8    12.9    12.4    12.4 1
-1928  7  9    15.4    14.9    14.9 1
-1928  7 10    15.0    14.5    14.5 1
-1928  7 11    15.9    15.4    15.4 1
-1928  7 12    19.4    18.9    18.9 1
-1928  7 13    20.5    20.0    20.0 1
-1928  7 14    18.6    18.1    18.1 1
-1928  7 15    21.8    21.3    21.3 1
-1928  7 16    16.7    16.2    16.2 1
-1928  7 17    16.1    15.6    15.6 1
-1928  7 18    15.0    14.5    14.5 1
-1928  7 19    11.5    11.0    11.0 1
-1928  7 20    13.3    12.8    12.8 1
-1928  7 21    11.2    10.7    10.7 1
-1928  7 22    13.2    12.7    12.7 1
-1928  7 23    14.9    14.4    14.4 1
-1928  7 24    11.3    10.8    10.8 1
-1928  7 25    14.1    13.6    13.6 1
-1928  7 26    14.6    14.2    14.2 1
-1928  7 27    15.0    14.6    14.6 1
-1928  7 28    14.5    14.1    14.1 1
-1928  7 29    16.4    16.0    16.0 1
-1928  7 30    14.0    13.6    13.6 1
-1928  7 31    13.8    13.4    13.4 1
-1928  8  1    12.1    11.7    11.7 1
-1928  8  2    12.8    12.4    12.4 1
-1928  8  3    14.7    14.3    14.3 1
-1928  8  4    15.0    14.6    14.6 1
-1928  8  5    14.5    14.1    14.1 1
-1928  8  6    13.4    13.0    13.0 1
-1928  8  7    11.9    11.5    11.5 1
-1928  8  8    13.3    13.0    13.0 1
-1928  8  9    13.6    13.3    13.3 1
-1928  8 10    14.3    14.0    14.0 1
-1928  8 11    13.3    13.0    13.0 1
-1928  8 12    13.8    13.5    13.5 1
-1928  8 13    16.0    15.7    15.7 1
-1928  8 14    14.1    13.8    13.8 1
-1928  8 15    14.6    14.3    14.3 1
-1928  8 16    15.5    15.2    15.2 1
-1928  8 17    14.2    13.9    13.9 1
-1928  8 18    14.5    14.2    14.2 1
-1928  8 19    14.0    13.7    13.7 1
-1928  8 20    14.2    14.0    14.0 1
-1928  8 21    15.4    15.2    15.2 1
-1928  8 22    14.1    13.9    13.9 1
-1928  8 23    13.4    13.2    13.2 1
-1928  8 24    13.8    13.6    13.6 1
-1928  8 25    14.0    13.8    13.8 1
-1928  8 26    15.2    15.0    15.0 1
-1928  8 27    15.3    15.1    15.1 1
-1928  8 28    13.5    13.3    13.3 1
-1928  8 29    14.7    14.5    14.5 1
-1928  8 30    14.5    14.4    14.4 1
-1928  8 31    10.2    10.1    10.1 1
-1928  9  1    11.2    11.1    11.1 1
-1928  9  2    13.4    13.3    13.3 1
-1928  9  3    13.5    13.4    13.4 1
-1928  9  4    13.2    13.1    13.1 1
-1928  9  5    14.1    14.0    14.0 1
-1928  9  6    16.0    15.9    15.9 1
-1928  9  7    13.4    13.3    13.3 1
-1928  9  8    13.3    13.2    13.2 1
-1928  9  9    15.4    15.4    15.4 1
-1928  9 10    15.9    15.9    15.9 1
-1928  9 11    14.0    14.0    14.0 1
-1928  9 12    13.2    13.2    13.2 1
-1928  9 13    12.0    12.0    12.0 1
-1928  9 14    13.4    13.4    13.4 1
-1928  9 15    12.0    12.0    12.0 1
-1928  9 16    11.3    11.3    11.3 1
-1928  9 17    11.6    11.6    11.6 1
-1928  9 18    14.3    14.3    14.3 1
-1928  9 19    12.3    12.3    12.3 1
-1928  9 20    10.5    10.5    10.5 1
-1928  9 21     8.3     8.3     8.3 1
-1928  9 22     7.9     7.9     7.9 1
-1928  9 23     7.4     7.4     7.4 1
-1928  9 24     6.7     6.7     6.7 1
-1928  9 25     8.2     8.2     8.2 1
-1928  9 26     6.6     6.6     6.6 1
-1928  9 27     7.6     7.6     7.6 1
-1928  9 28     1.8     1.8     1.8 1
-1928  9 29     2.8     2.8     2.8 1
-1928  9 30     6.3     6.3     6.3 1
-1928 10  1     3.5     3.5     3.5 1
-1928 10  2     4.2     4.2     4.2 1
-1928 10  3     6.5     6.5     6.5 1
-1928 10  4     8.3     8.3     8.3 1
-1928 10  5     7.2     7.2     7.2 1
-1928 10  6     8.6     8.6     8.6 1
-1928 10  7     9.2     9.2     9.2 1
-1928 10  8     9.8     9.8     9.8 1
-1928 10  9    12.8    12.8    12.8 1
-1928 10 10     4.0     4.0     4.0 1
-1928 10 11     2.8     2.8     2.8 1
-1928 10 12     1.3     1.3     1.3 1
-1928 10 13     2.0     2.0     2.0 1
-1928 10 14     2.9     2.9     2.9 1
-1928 10 15     2.9     2.9     2.9 1
-1928 10 16     2.9     2.9     2.9 1
-1928 10 17     4.0     4.0     4.0 1
-1928 10 18     5.6     5.6     5.6 1
-1928 10 19     6.1     6.1     6.1 1
-1928 10 20     8.3     8.3     8.3 1
-1928 10 21    10.2    10.2    10.2 1
-1928 10 22     8.7     8.7     8.7 1
-1928 10 23     7.1     7.1     7.1 1
-1928 10 24     8.9     8.9     8.9 1
-1928 10 25    10.1    10.1    10.1 1
-1928 10 26     8.3     8.2     8.2 1
-1928 10 27     9.2     9.1     9.1 1
-1928 10 28     8.1     8.0     8.0 1
-1928 10 29     8.9     8.8     8.8 1
-1928 10 30     6.7     6.6     6.6 1
-1928 10 31     9.3     9.2     9.2 1
-1928 11  1     6.2     6.1     6.1 1
-1928 11  2     3.3     3.2     3.2 1
-1928 11  3     2.3     2.2     2.2 1
-1928 11  4     2.7     2.6     2.6 1
-1928 11  5     1.0     0.9     0.9 1
-1928 11  6    -0.4    -0.5    -0.5 1
-1928 11  7    -2.4    -2.5    -2.5 1
-1928 11  8    -3.2    -3.3    -3.3 1
-1928 11  9    -3.0    -3.1    -3.1 1
-1928 11 10     1.0     0.9     0.9 1
-1928 11 11    -1.7    -1.9    -1.9 1
-1928 11 12     1.7     1.5     1.5 1
-1928 11 13     8.0     7.8     7.8 1
-1928 11 14     6.6     6.4     6.4 1
-1928 11 15     4.9     4.7     4.7 1
-1928 11 16     6.8     6.6     6.6 1
-1928 11 17     7.5     7.3     7.3 1
-1928 11 18     4.4     4.2     4.2 1
-1928 11 19     2.3     2.1     2.1 1
-1928 11 20     4.4     4.2     4.2 1
-1928 11 21     5.5     5.3     5.3 1
-1928 11 22     6.5     6.3     6.3 1
-1928 11 23     6.3     6.1     6.1 1
-1928 11 24     7.1     6.9     6.9 1
-1928 11 25     6.4     6.2     6.2 1
-1928 11 26     5.1     4.9     4.9 1
-1928 11 27     1.9     1.7     1.7 1
-1928 11 28     1.7     1.5     1.5 1
-1928 11 29     1.1     0.9     0.9 1
-1928 11 30     2.3     2.1     2.1 1
-1928 12  1     2.3     2.1     2.1 1
-1928 12  2     1.7     1.5     1.5 1
-1928 12  3    -0.4    -0.6    -0.6 1
-1928 12  4     0.3     0.1     0.1 1
-1928 12  5     1.9     1.7     1.7 1
-1928 12  6     1.7     1.5     1.5 1
-1928 12  7     2.3     2.1     2.1 1
-1928 12  8     1.6     1.4     1.4 1
-1928 12  9    -1.0    -1.2    -1.2 1
-1928 12 10    -3.1    -3.3    -3.3 1
-1928 12 11    -1.0    -1.2    -1.2 1
-1928 12 12    -1.7    -1.9    -1.9 1
-1928 12 13    -3.6    -3.8    -3.8 1
-1928 12 14    -4.9    -5.1    -5.1 1
-1928 12 15    -4.8    -5.0    -5.0 1
-1928 12 16    -2.7    -2.9    -2.9 1
-1928 12 17    -2.2    -2.4    -2.4 1
-1928 12 18    -3.6    -3.8    -3.8 1
-1928 12 19    -1.0    -1.2    -1.2 1
-1928 12 20     0.0    -0.3    -0.3 1
-1928 12 21    -1.0    -1.3    -1.3 1
-1928 12 22    -0.6    -0.9    -0.9 1
-1928 12 23    -1.5    -1.8    -1.8 1
-1928 12 24     2.0     1.7     1.7 1
-1928 12 25     2.9     2.6     2.6 1
-1928 12 26     1.8     1.5     1.5 1
-1928 12 27     0.9     0.6     0.6 1
-1928 12 28    -2.2    -2.5    -2.5 1
-1928 12 29    -4.9    -5.2    -5.2 1
-1928 12 30    -3.4    -3.7    -3.7 1
-1928 12 31    -6.9    -7.2    -7.2 1
-1929  1  1    -5.4    -5.8    -5.8 1
-1929  1  2    -5.7    -6.1    -6.1 1
-1929  1  3    -5.8    -6.2    -6.2 1
-1929  1  4    -4.9    -5.3    -5.3 1
-1929  1  5    -3.5    -3.9    -3.9 1
-1929  1  6    -2.0    -2.4    -2.4 1
-1929  1  7    -5.0    -5.4    -5.4 1
-1929  1  8    -2.2    -2.6    -2.6 1
-1929  1  9    -3.3    -3.7    -3.7 1
-1929  1 10    -5.7    -6.1    -6.1 1
-1929  1 11    -1.6    -2.1    -2.1 1
-1929  1 12     2.3     1.8     1.8 1
-1929  1 13    -1.1    -1.6    -1.6 1
-1929  1 14    -9.5   -10.0   -10.0 1
-1929  1 15    -8.2    -8.7    -8.7 1
-1929  1 16    -8.2    -8.7    -8.7 1
-1929  1 17    -8.2    -8.7    -8.7 1
-1929  1 18    -7.7    -8.2    -8.2 1
-1929  1 19    -6.9    -7.4    -7.4 1
-1929  1 20   -11.6   -12.1   -12.1 1
-1929  1 21    -0.8    -1.3    -1.3 1
-1929  1 22    -0.3    -0.8    -0.8 1
-1929  1 23    -4.0    -4.5    -4.5 1
-1929  1 24    -4.2    -4.7    -4.7 1
-1929  1 25    -3.1    -3.6    -3.6 1
-1929  1 26    -2.7    -3.2    -3.2 1
-1929  1 27    -2.1    -2.6    -2.6 1
-1929  1 28    -1.0    -1.5    -1.5 1
-1929  1 29    -1.0    -1.5    -1.5 1
-1929  1 30    -0.9    -1.3    -1.3 1
-1929  1 31    -1.9    -2.3    -2.3 1
-1929  2  1    -3.9    -4.3    -4.3 1
-1929  2  2    -6.5    -6.9    -6.9 1
-1929  2  3    -6.7    -7.1    -7.1 1
-1929  2  4    -5.8    -6.2    -6.2 1
-1929  2  5    -8.6    -9.0    -9.0 1
-1929  2  6    -7.2    -7.6    -7.6 1
-1929  2  7    -5.7    -6.1    -6.1 1
-1929  2  8    -4.9    -5.3    -5.3 1
-1929  2  9    -8.3    -8.7    -8.7 1
-1929  2 10    -9.5    -9.9    -9.9 1
-1929  2 11   -12.3   -12.7   -12.7 1
-1929  2 12    -9.1    -9.5    -9.5 1
-1929  2 13    -9.0    -9.4    -9.4 1
-1929  2 14    -7.5    -7.9    -7.9 1
-1929  2 15    -8.0    -8.4    -8.4 1
-1929  2 16    -8.9    -9.3    -9.3 1
-1929  2 17    -8.1    -8.5    -8.5 1
-1929  2 18    -8.7    -9.1    -9.1 1
-1929  2 19   -11.2   -11.6   -11.6 1
-1929  2 20   -11.9   -12.3   -12.3 1
-1929  2 21    -5.9    -6.3    -6.3 1
-1929  2 22    -5.0    -5.4    -5.4 1
-1929  2 23   -12.8   -13.2   -13.2 1
-1929  2 24   -13.9   -14.3   -14.3 1
-1929  2 25   -12.9   -13.3   -13.3 1
-1929  2 26   -15.6   -16.0   -16.0 1
-1929  2 27   -11.3   -11.8   -11.8 1
-1929  2 28    -3.1    -3.6    -3.6 1
-1929  3  1    -1.2    -1.7    -1.7 1
-1929  3  2     0.7     0.2     0.2 1
-1929  3  3    -1.8    -2.3    -2.3 1
-1929  3  4    -2.8    -3.3    -3.3 1
-1929  3  5    -5.0    -5.5    -5.5 1
-1929  3  6   -10.3   -10.8   -10.8 1
-1929  3  7    -7.8    -8.3    -8.3 1
-1929  3  8     0.1    -0.4    -0.4 1
-1929  3  9    -7.1    -7.6    -7.6 1
-1929  3 10    -4.4    -4.9    -4.9 1
-1929  3 11     0.8     0.3     0.3 1
-1929  3 12     5.0     4.5     4.5 1
-1929  3 13     5.6     5.1     5.1 1
-1929  3 14     4.6     4.1     4.1 1
-1929  3 15    -1.7    -2.2    -2.2 1
-1929  3 16     0.3    -0.2    -0.2 1
-1929  3 17     2.4     1.9     1.9 1
-1929  3 18     2.8     2.3     2.3 1
-1929  3 19     3.6     3.1     3.1 1
-1929  3 20     3.9     3.4     3.4 1
-1929  3 21     4.2     3.7     3.7 1
-1929  3 22     6.8     6.3     6.3 1
-1929  3 23     3.2     2.7     2.7 1
-1929  3 24     2.9     2.4     2.4 1
-1929  3 25     1.3     0.8     0.8 1
-1929  3 26     1.0     0.5     0.5 1
-1929  3 27     5.8     5.3     5.3 1
-1929  3 28     8.9     8.5     8.5 1
-1929  3 29     4.4     4.0     4.0 1
-1929  3 30    -2.4    -2.8    -2.8 1
-1929  3 31    -2.9    -3.3    -3.3 1
-1929  4  1    -4.6    -5.0    -5.0 1
-1929  4  2    -5.9    -6.3    -6.3 1
-1929  4  3    -5.5    -5.9    -5.9 1
-1929  4  4    -3.8    -4.2    -4.2 1
-1929  4  5    -3.1    -3.5    -3.5 1
-1929  4  6     0.2    -0.2    -0.2 1
-1929  4  7     1.0     0.6     0.6 1
-1929  4  8     0.2    -0.2    -0.2 1
-1929  4  9     2.3     1.9     1.9 1
-1929  4 10     0.2    -0.2    -0.2 1
-1929  4 11     2.2     1.8     1.8 1
-1929  4 12     6.2     5.8     5.8 1
-1929  4 13     8.1     7.7     7.7 1
-1929  4 14     6.4     6.0     6.0 1
-1929  4 15    -1.9    -2.3    -2.3 1
-1929  4 16     1.3     0.9     0.9 1
-1929  4 17     5.6     5.2     5.2 1
-1929  4 18     5.8     5.4     5.4 1
-1929  4 19     8.3     7.9     7.9 1
-1929  4 20    -4.3    -4.7    -4.7 1
-1929  4 21    -4.1    -4.5    -4.5 1
-1929  4 22     1.7     1.3     1.3 1
-1929  4 23     1.1     0.6     0.6 1
-1929  4 24     1.6     1.1     1.1 1
-1929  4 25     1.6     1.1     1.1 1
-1929  4 26     0.8     0.3     0.3 1
-1929  4 27     0.3    -0.2    -0.2 1
-1929  4 28     0.9     0.4     0.4 1
-1929  4 29     4.2     3.7     3.7 1
-1929  4 30     2.7     2.1     2.1 1
-1929  5  1     0.9     0.3     0.3 1
-1929  5  2     0.2    -0.4    -0.4 1
-1929  5  3     2.6     2.0     2.0 1
-1929  5  4     5.2     4.6     4.6 1
-1929  5  5     6.6     6.0     6.0 1
-1929  5  6     9.5     8.9     8.9 1
-1929  5  7    14.3    13.7    13.7 1
-1929  5  8     9.7     9.0     9.0 1
-1929  5  9    10.9    10.2    10.2 1
-1929  5 10    10.8    10.1    10.1 1
-1929  5 11    13.0    12.3    12.3 1
-1929  5 12    12.0    11.3    11.3 1
-1929  5 13    12.7    12.0    12.0 1
-1929  5 14     9.6     8.9     8.9 1
-1929  5 15    12.0    11.3    11.3 1
-1929  5 16    12.3    11.6    11.6 1
-1929  5 17     9.3     8.6     8.6 1
-1929  5 18     3.3     2.6     2.6 1
-1929  5 19     4.2     3.5     3.5 1
-1929  5 20     6.4     5.7     5.7 1
-1929  5 21     8.2     7.5     7.5 1
-1929  5 22    11.5    10.8    10.8 1
-1929  5 23    14.1    13.4    13.4 1
-1929  5 24    14.6    13.9    13.9 1
-1929  5 25    15.3    14.6    14.6 1
-1929  5 26    13.8    13.1    13.1 1
-1929  5 27    16.7    16.0    16.0 1
-1929  5 28    14.1    13.4    13.4 1
-1929  5 29     9.4     8.7     8.7 1
-1929  5 30     8.8     8.1     8.1 1
-1929  5 31     4.5     3.8     3.8 1
-1929  6  1     6.5     5.9     5.9 1
-1929  6  2     6.6     6.0     6.0 1
-1929  6  3     8.5     7.9     7.9 1
-1929  6  4     9.4     8.8     8.8 1
-1929  6  5     7.1     6.5     6.5 1
-1929  6  6    10.0     9.4     9.4 1
-1929  6  7    10.2     9.6     9.6 1
-1929  6  8     8.8     8.2     8.2 1
-1929  6  9     9.7     9.1     9.1 1
-1929  6 10    12.7    12.1    12.1 1
-1929  6 11    13.8    13.2    13.2 1
-1929  6 12    15.4    14.8    14.8 1
-1929  6 13    16.9    16.3    16.3 1
-1929  6 14    17.4    16.8    16.8 1
-1929  6 15    16.8    16.2    16.2 1
-1929  6 16    15.4    14.8    14.8 1
-1929  6 17    15.1    14.5    14.5 1
-1929  6 18    16.7    16.1    16.1 1
-1929  6 19    16.6    16.0    16.0 1
-1929  6 20    18.2    17.6    17.6 1
-1929  6 21    16.0    15.4    15.4 1
-1929  6 22    14.3    13.7    13.7 1
-1929  6 23    11.4    10.8    10.8 1
-1929  6 24    10.8    10.2    10.2 1
-1929  6 25    10.8    10.2    10.2 1
-1929  6 26    10.0     9.4     9.4 1
-1929  6 27    12.8    12.2    12.2 1
-1929  6 28    14.5    13.9    13.9 1
-1929  6 29    15.2    14.6    14.6 1
-1929  6 30    14.8    14.2    14.2 1
-1929  7  1    13.5    12.9    12.9 1
-1929  7  2    16.3    15.7    15.7 1
-1929  7  3    15.9    15.3    15.3 1
-1929  7  4    14.1    13.5    13.5 1
-1929  7  5    15.9    15.3    15.3 1
-1929  7  6    15.6    15.1    15.1 1
-1929  7  7    13.2    12.7    12.7 1
-1929  7  8    10.9    10.4    10.4 1
-1929  7  9    10.6    10.1    10.1 1
-1929  7 10    15.6    15.1    15.1 1
-1929  7 11    18.5    18.0    18.0 1
-1929  7 12    19.9    19.4    19.4 1
-1929  7 13    15.3    14.8    14.8 1
-1929  7 14    15.0    14.5    14.5 1
-1929  7 15    16.2    15.7    15.7 1
-1929  7 16    15.3    14.8    14.8 1
-1929  7 17    13.2    12.7    12.7 1
-1929  7 18    14.1    13.6    13.6 1
-1929  7 19    18.5    18.0    18.0 1
-1929  7 20    21.4    20.9    20.9 1
-1929  7 21    21.5    21.0    21.0 1
-1929  7 22    20.8    20.3    20.3 1
-1929  7 23    18.0    17.5    17.5 1
-1929  7 24    14.2    13.7    13.7 1
-1929  7 25    12.6    12.1    12.1 1
-1929  7 26    14.9    14.4    14.4 1
-1929  7 27    14.9    14.5    14.5 1
-1929  7 28    13.9    13.5    13.5 1
-1929  7 29    16.3    15.9    15.9 1
-1929  7 30    15.3    14.9    14.9 1
-1929  7 31    16.1    15.7    15.7 1
-1929  8  1    15.5    15.1    15.1 1
-1929  8  2    15.2    14.8    14.8 1
-1929  8  3    13.9    13.5    13.5 1
-1929  8  4    15.7    15.3    15.3 1
-1929  8  5    16.1    15.7    15.7 1
-1929  8  6    14.4    14.0    14.0 1
-1929  8  7    15.6    15.2    15.2 1
-1929  8  8    15.6    15.2    15.2 1
-1929  8  9    15.5    15.2    15.2 1
-1929  8 10    15.3    15.0    15.0 1
-1929  8 11    15.4    15.1    15.1 1
-1929  8 12    16.9    16.6    16.6 1
-1929  8 13    14.2    13.9    13.9 1
-1929  8 14    13.5    13.2    13.2 1
-1929  8 15    14.0    13.7    13.7 1
-1929  8 16    14.9    14.6    14.6 1
-1929  8 17    16.9    16.6    16.6 1
-1929  8 18    16.7    16.4    16.4 1
-1929  8 19    13.9    13.6    13.6 1
-1929  8 20    11.7    11.4    11.4 1
-1929  8 21    14.1    13.9    13.9 1
-1929  8 22    13.2    13.0    13.0 1
-1929  8 23    14.1    13.9    13.9 1
-1929  8 24    15.0    14.8    14.8 1
-1929  8 25    12.7    12.5    12.5 1
-1929  8 26    12.9    12.7    12.7 1
-1929  8 27    14.3    14.1    14.1 1
-1929  8 28    12.6    12.4    12.4 1
-1929  8 29    15.9    15.7    15.7 1
-1929  8 30    15.7    15.5    15.5 1
-1929  8 31    14.4    14.3    14.3 1
-1929  9  1    14.7    14.6    14.6 1
-1929  9  2    15.1    15.0    15.0 1
-1929  9  3    14.5    14.4    14.4 1
-1929  9  4    13.5    13.4    13.4 1
-1929  9  5    15.1    15.0    15.0 1
-1929  9  6    10.9    10.8    10.8 1
-1929  9  7    10.3    10.2    10.2 1
-1929  9  8     8.4     8.3     8.3 1
-1929  9  9     8.5     8.4     8.4 1
-1929  9 10     9.4     9.4     9.4 1
-1929  9 11    11.3    11.3    11.3 1
-1929  9 12    13.0    13.0    13.0 1
-1929  9 13    12.7    12.7    12.7 1
-1929  9 14    13.7    13.7    13.7 1
-1929  9 15    14.5    14.5    14.5 1
-1929  9 16    13.0    13.0    13.0 1
-1929  9 17    12.5    12.5    12.5 1
-1929  9 18    10.6    10.6    10.6 1
-1929  9 19    13.8    13.8    13.8 1
-1929  9 20    13.1    13.1    13.1 1
-1929  9 21     8.8     8.8     8.8 1
-1929  9 22     7.7     7.7     7.7 1
-1929  9 23     7.7     7.7     7.7 1
-1929  9 24     8.7     8.7     8.7 1
-1929  9 25    11.8    11.8    11.8 1
-1929  9 26    11.2    11.2    11.2 1
-1929  9 27    11.5    11.5    11.5 1
-1929  9 28    10.5    10.5    10.5 1
-1929  9 29    13.5    13.5    13.5 1
-1929  9 30    11.3    11.3    11.3 1
-1929 10  1     8.7     8.7     8.7 1
-1929 10  2     9.0     9.0     9.0 1
-1929 10  3     9.2     9.2     9.2 1
-1929 10  4     9.8     9.8     9.8 1
-1929 10  5     9.5     9.5     9.5 1
-1929 10  6     8.8     8.8     8.8 1
-1929 10  7    11.0    11.0    11.0 1
-1929 10  8    10.1    10.1    10.1 1
-1929 10  9    11.7    11.7    11.7 1
-1929 10 10     8.2     8.2     8.2 1
-1929 10 11     8.6     8.6     8.6 1
-1929 10 12     8.3     8.3     8.3 1
-1929 10 13     8.0     8.0     8.0 1
-1929 10 14     9.1     9.1     9.1 1
-1929 10 15     6.3     6.3     6.3 1
-1929 10 16     3.5     3.5     3.5 1
-1929 10 17     4.1     4.1     4.1 1
-1929 10 18     4.9     4.9     4.9 1
-1929 10 19     6.4     6.4     6.4 1
-1929 10 20     4.0     4.0     4.0 1
-1929 10 21     3.5     3.5     3.5 1
-1929 10 22     7.9     7.9     7.9 1
-1929 10 23     7.4     7.4     7.4 1
-1929 10 24     9.3     9.3     9.3 1
-1929 10 25     9.8     9.7     9.7 1
-1929 10 26     8.7     8.6     8.6 1
-1929 10 27     8.1     8.0     8.0 1
-1929 10 28     5.2     5.1     5.1 1
-1929 10 29     4.8     4.7     4.7 1
-1929 10 30     5.2     5.1     5.1 1
-1929 10 31     2.3     2.2     2.2 1
-1929 11  1    -0.1    -0.2    -0.2 1
-1929 11  2     0.4     0.3     0.3 1
-1929 11  3     2.3     2.2     2.2 1
-1929 11  4     2.3     2.2     2.2 1
-1929 11  5     6.0     5.9     5.9 1
-1929 11  6     6.5     6.4     6.4 1
-1929 11  7     5.0     4.9     4.9 1
-1929 11  8     5.0     4.9     4.9 1
-1929 11  9     5.2     5.1     5.1 1
-1929 11 10     4.5     4.3     4.3 1
-1929 11 11     5.8     5.6     5.6 1
-1929 11 12     6.6     6.4     6.4 1
-1929 11 13     4.2     4.0     4.0 1
-1929 11 14     3.3     3.1     3.1 1
-1929 11 15     6.4     6.2     6.2 1
-1929 11 16     4.6     4.4     4.4 1
-1929 11 17     1.1     0.9     0.9 1
-1929 11 18    -0.1    -0.3    -0.3 1
-1929 11 19    -0.2    -0.4    -0.4 1
-1929 11 20     0.9     0.7     0.7 1
-1929 11 21     5.4     5.2     5.2 1
-1929 11 22     5.4     5.2     5.2 1
-1929 11 23     4.8     4.6     4.6 1
-1929 11 24     5.5     5.3     5.3 1
-1929 11 25     5.7     5.5     5.5 1
-1929 11 26     6.1     5.9     5.9 1
-1929 11 27     5.7     5.5     5.5 1
-1929 11 28     4.9     4.7     4.7 1
-1929 11 29     4.9     4.7     4.7 1
-1929 11 30     3.7     3.5     3.5 1
-1929 12  1     2.8     2.6     2.6 1
-1929 12  2     6.4     6.2     6.2 1
-1929 12  3     6.1     5.9     5.9 1
-1929 12  4     3.3     3.1     3.1 1
-1929 12  5     5.9     5.7     5.7 1
-1929 12  6     6.0     5.8     5.8 1
-1929 12  7     6.2     6.0     6.0 1
-1929 12  8     6.4     6.2     6.2 1
-1929 12  9     5.0     4.8     4.8 1
-1929 12 10     4.3     4.1     4.1 1
-1929 12 11     4.0     3.8     3.8 1
-1929 12 12     5.0     4.8     4.8 1
-1929 12 13     2.8     2.6     2.6 1
-1929 12 14     4.9     4.7     4.7 1
-1929 12 15     3.3     3.1     3.1 1
-1929 12 16     0.8     0.6     0.6 1
-1929 12 17    -2.0    -2.2    -2.2 1
-1929 12 18    -1.2    -1.4    -1.4 1
-1929 12 19     3.9     3.6     3.6 1
-1929 12 20     2.7     2.4     2.4 1
-1929 12 21     1.3     1.0     1.0 1
-1929 12 22     2.9     2.6     2.6 1
-1929 12 23     1.1     0.8     0.8 1
-1929 12 24    -1.5    -1.8    -1.8 1
-1929 12 25    -1.8    -2.1    -2.1 1
-1929 12 26     4.5     4.2     4.2 1
-1929 12 27     3.6     3.3     3.3 1
-1929 12 28     3.5     3.2     3.2 1
-1929 12 29     3.3     3.0     3.0 1
-1929 12 30     4.2     3.9     3.9 1
-1929 12 31     2.9     2.5     2.5 1
-1930  1  1     1.4     1.0     1.0 1
-1930  1  2     2.2     1.8     1.8 1
-1930  1  3     3.8     3.4     3.4 1
-1930  1  4     3.9     3.5     3.5 1
-1930  1  5     3.0     2.6     2.6 1
-1930  1  6     4.4     4.0     4.0 1
-1930  1  7     5.0     4.6     4.6 1
-1930  1  8     5.6     5.2     5.2 1
-1930  1  9     3.1     2.7     2.7 1
-1930  1 10     2.9     2.4     2.4 1
-1930  1 11     2.7     2.2     2.2 1
-1930  1 12     3.2     2.7     2.7 1
-1930  1 13     1.7     1.2     1.2 1
-1930  1 14     2.3     1.8     1.8 1
-1930  1 15     6.3     5.8     5.8 1
-1930  1 16     1.6     1.1     1.1 1
-1930  1 17    -0.6    -1.1    -1.1 1
-1930  1 18     1.6     1.1     1.1 1
-1930  1 19     2.4     1.9     1.9 1
-1930  1 20     5.4     4.9     4.9 1
-1930  1 21     2.7     2.2     2.2 1
-1930  1 22    -0.6    -1.1    -1.1 1
-1930  1 23     0.5     0.0     0.0 1
-1930  1 24     2.1     1.6     1.6 1
-1930  1 25     2.0     1.5     1.5 1
-1930  1 26     1.1     0.6     0.6 1
-1930  1 27     1.0     0.5     0.5 1
-1930  1 28     0.1    -0.4    -0.4 1
-1930  1 29    -0.8    -1.3    -1.3 1
-1930  1 30    -2.7    -3.2    -3.2 1
-1930  1 31    -3.6    -4.1    -4.1 1
-1930  2  1    -3.5    -4.0    -4.0 1
-1930  2  2    -3.5    -4.0    -4.0 1
-1930  2  3    -3.9    -4.3    -4.3 1
-1930  2  4    -2.9    -3.3    -3.3 1
-1930  2  5    -2.0    -2.4    -2.4 1
-1930  2  6    -4.8    -5.2    -5.2 1
-1930  2  7    -7.6    -8.0    -8.0 1
-1930  2  8    -6.0    -6.4    -6.4 1
-1930  2  9    -2.4    -2.8    -2.8 1
-1930  2 10     1.1     0.7     0.7 1
-1930  2 11     1.5     1.1     1.1 1
-1930  2 12     2.3     1.9     1.9 1
-1930  2 13     1.0     0.6     0.6 1
-1930  2 14     2.0     1.6     1.6 1
-1930  2 15     1.9     1.5     1.5 1
-1930  2 16    -3.0    -3.4    -3.4 1
-1930  2 17    -3.1    -3.5    -3.5 1
-1930  2 18     0.8     0.4     0.4 1
-1930  2 19     0.1    -0.3    -0.3 1
-1930  2 20    -0.9    -1.3    -1.3 1
-1930  2 21    -1.4    -1.8    -1.8 1
-1930  2 22    -1.1    -1.5    -1.5 1
-1930  2 23    -1.2    -1.7    -1.7 1
-1930  2 24    -1.8    -2.3    -2.3 1
-1930  2 25    -0.8    -1.3    -1.3 1
-1930  2 26    -0.2    -0.7    -0.7 1
-1930  2 27     0.1    -0.4    -0.4 1
-1930  2 28    -2.2    -2.7    -2.7 1
-1930  3  1     1.6     1.1     1.1 1
-1930  3  2     3.4     2.9     2.9 1
-1930  3  3     0.9     0.4     0.4 1
-1930  3  4     0.5     0.0     0.0 1
-1930  3  5    -0.3    -0.8    -0.8 1
-1930  3  6     0.7     0.2     0.2 1
-1930  3  7     3.4     2.9     2.9 1
-1930  3  8     6.3     5.8     5.8 1
-1930  3  9     4.6     4.1     4.1 1
-1930  3 10     3.7     3.2     3.2 1
-1930  3 11     0.3    -0.2    -0.2 1
-1930  3 12    -2.8    -3.3    -3.3 1
-1930  3 13    -3.5    -4.0    -4.0 1
-1930  3 14    -3.7    -4.2    -4.2 1
-1930  3 15    -2.7    -3.2    -3.2 1
-1930  3 16    -3.0    -3.5    -3.5 1
-1930  3 17    -1.3    -1.8    -1.8 1
-1930  3 18    -0.3    -0.8    -0.8 1
-1930  3 19     2.2     1.7     1.7 1
-1930  3 20     1.4     0.9     0.9 1
-1930  3 21     1.0     0.5     0.5 1
-1930  3 22     2.6     2.1     2.1 1
-1930  3 23     2.6     2.1     2.1 1
-1930  3 24     2.2     1.7     1.7 1
-1930  3 25     1.5     1.0     1.0 1
-1930  3 26     2.4     1.9     1.9 1
-1930  3 27     0.8     0.3     0.3 1
-1930  3 28     2.1     1.6     1.6 1
-1930  3 29     2.3     1.8     1.8 1
-1930  3 30     2.6     2.2     2.2 1
-1930  3 31     3.6     3.2     3.2 1
-1930  4  1     2.5     2.1     2.1 1
-1930  4  2     1.5     1.1     1.1 1
-1930  4  3     3.1     2.7     2.7 1
-1930  4  4     4.7     4.3     4.3 1
-1930  4  5     6.0     5.6     5.6 1
-1930  4  6     4.7     4.3     4.3 1
-1930  4  7     6.0     5.6     5.6 1
-1930  4  8     7.2     6.8     6.8 1
-1930  4  9     7.4     7.0     7.0 1
-1930  4 10     7.4     7.0     7.0 1
-1930  4 11     8.4     8.0     8.0 1
-1930  4 12     6.9     6.5     6.5 1
-1930  4 13     7.2     6.8     6.8 1
-1930  4 14     7.5     7.1     7.1 1
-1930  4 15     9.0     8.6     8.6 1
-1930  4 16     8.6     8.2     8.2 1
-1930  4 17     4.0     3.6     3.6 1
-1930  4 18     0.2    -0.2    -0.2 1
-1930  4 19     0.3    -0.1    -0.1 1
-1930  4 20    -0.1    -0.5    -0.5 1
-1930  4 21     3.9     3.5     3.5 1
-1930  4 22     4.0     3.5     3.5 1
-1930  4 23     6.1     5.6     5.6 1
-1930  4 24     7.5     7.0     7.0 1
-1930  4 25     7.3     6.8     6.8 1
-1930  4 26     4.3     3.8     3.8 1
-1930  4 27     5.7     5.2     5.2 1
-1930  4 28     8.3     7.8     7.8 1
-1930  4 29     6.3     5.7     5.7 1
-1930  4 30     9.7     9.1     9.1 1
-1930  5  1    11.5    10.9    10.9 1
-1930  5  2    10.0     9.4     9.4 1
-1930  5  3     8.4     7.8     7.8 1
-1930  5  4     5.8     5.2     5.2 1
-1930  5  5     6.9     6.3     6.3 1
-1930  5  6     6.0     5.4     5.4 1
-1930  5  7     6.7     6.0     6.0 1
-1930  5  8     7.3     6.6     6.6 1
-1930  5  9     9.7     9.0     9.0 1
-1930  5 10     8.1     7.4     7.4 1
-1930  5 11    10.0     9.3     9.3 1
-1930  5 12    10.6     9.9     9.9 1
-1930  5 13    10.5     9.8     9.8 1
-1930  5 14     8.4     7.7     7.7 1
-1930  5 15     8.6     7.8     7.8 1
-1930  5 16    11.0    10.2    10.2 1
-1930  5 17    11.4    10.7    10.7 1
-1930  5 18    12.3    11.6    11.6 1
-1930  5 19    14.5    13.8    13.8 1
-1930  5 20    11.1    10.4    10.4 1
-1930  5 21    13.3    12.6    12.6 1
-1930  5 22    13.5    12.8    12.8 1
-1930  5 23    15.1    14.4    14.4 1
-1930  5 24    16.3    15.6    15.6 1
-1930  5 25    16.6    15.9    15.9 1
-1930  5 26    13.9    13.2    13.2 1
-1930  5 27    16.1    15.4    15.4 1
-1930  5 28    13.9    13.2    13.2 1
-1930  5 29    10.9    10.2    10.2 1
-1930  5 30     9.6     8.9     8.9 1
-1930  5 31    13.4    12.7    12.7 1
-1930  6  1     7.0     6.3     6.3 1
-1930  6  2     6.7     6.0     6.0 1
-1930  6  3     7.2     6.5     6.5 1
-1930  6  4    12.3    11.7    11.7 1
-1930  6  5    15.6    15.0    15.0 1
-1930  6  6    15.8    15.2    15.2 1
-1930  6  7    16.8    16.2    16.2 1
-1930  6  8    12.8    12.2    12.2 1
-1930  6  9    11.8    11.2    11.2 1
-1930  6 10    15.0    14.4    14.4 1
-1930  6 11    16.1    15.5    15.5 1
-1930  6 12    16.8    16.2    16.2 1
-1930  6 13    14.2    13.6    13.6 1
-1930  6 14    13.9    13.3    13.3 1
-1930  6 15    14.2    13.6    13.6 1
-1930  6 16    15.7    15.1    15.1 1
-1930  6 17    18.7    18.1    18.1 1
-1930  6 18    19.2    18.6    18.6 1
-1930  6 19    20.2    19.6    19.6 1
-1930  6 20    22.6    22.0    22.0 1
-1930  6 21    23.8    23.2    23.2 1
-1930  6 22    22.9    22.3    22.3 1
-1930  6 23    22.4    21.8    21.8 1
-1930  6 24    22.1    21.5    21.5 1
-1930  6 25    17.4    16.8    16.8 1
-1930  6 26    16.4    15.8    15.8 1
-1930  6 27    17.3    16.7    16.7 1
-1930  6 28    16.9    16.3    16.3 1
-1930  6 29    13.4    12.8    12.8 1
-1930  6 30    17.7    17.1    17.1 1
-1930  7  1    21.6    21.0    21.0 1
-1930  7  2    23.3    22.7    22.7 1
-1930  7  3    19.5    18.9    18.9 1
-1930  7  4    19.5    18.9    18.9 1
-1930  7  5    20.3    19.7    19.7 1
-1930  7  6    20.5    19.9    19.9 1
-1930  7  7    18.5    17.9    17.9 1
-1930  7  8    14.6    14.0    14.0 1
-1930  7  9    14.4    13.8    13.8 1
-1930  7 10    18.6    18.0    18.0 1
-1930  7 11    17.5    16.9    16.9 1
-1930  7 12    18.3    17.7    17.7 1
-1930  7 13    16.3    15.7    15.7 1
-1930  7 14    14.3    13.7    13.7 1
-1930  7 15    16.7    16.1    16.1 1
-1930  7 16    16.9    16.4    16.4 1
-1930  7 17    17.1    16.6    16.6 1
-1930  7 18    17.7    17.2    17.2 1
-1930  7 19    17.8    17.3    17.3 1
-1930  7 20    17.5    17.0    17.0 1
-1930  7 21    17.3    16.8    16.8 1
-1930  7 22    18.7    18.2    18.2 1
-1930  7 23    18.2    17.7    17.7 1
-1930  7 24    19.8    19.3    19.3 1
-1930  7 25    19.6    19.1    19.1 1
-1930  7 26    19.9    19.4    19.4 1
-1930  7 27    20.1    19.6    19.6 1
-1930  7 28    17.9    17.4    17.4 1
-1930  7 29    19.1    18.7    18.7 1
-1930  7 30    16.7    16.3    16.3 1
-1930  7 31    15.7    15.3    15.3 1
-1930  8  1    16.4    16.0    16.0 1
-1930  8  2    18.1    17.7    17.7 1
-1930  8  3    19.0    18.6    18.6 1
-1930  8  4    18.8    18.4    18.4 1
-1930  8  5    17.5    17.1    17.1 1
-1930  8  6    17.8    17.4    17.4 1
-1930  8  7    15.9    15.5    15.5 1
-1930  8  8    15.8    15.4    15.4 1
-1930  8  9    15.2    14.8    14.8 1
-1930  8 10    15.5    15.1    15.1 1
-1930  8 11    15.6    15.3    15.3 1
-1930  8 12    16.2    15.9    15.9 1
-1930  8 13    14.2    13.9    13.9 1
-1930  8 14    15.5    15.2    15.2 1
-1930  8 15    14.5    14.2    14.2 1
-1930  8 16    15.7    15.4    15.4 1
-1930  8 17    15.7    15.4    15.4 1
-1930  8 18    16.0    15.7    15.7 1
-1930  8 19    16.5    16.2    16.2 1
-1930  8 20    17.3    17.0    17.0 1
-1930  8 21    16.2    15.9    15.9 1
-1930  8 22    16.5    16.3    16.3 1
-1930  8 23    15.1    14.9    14.9 1
-1930  8 24    14.5    14.3    14.3 1
-1930  8 25    15.3    15.1    15.1 1
-1930  8 26    15.9    15.7    15.7 1
-1930  8 27    14.6    14.4    14.4 1
-1930  8 28    16.7    16.5    16.5 1
-1930  8 29    17.4    17.2    17.2 1
-1930  8 30    18.2    18.0    18.0 1
-1930  8 31    17.7    17.5    17.5 1
-1930  9  1    12.5    12.4    12.4 1
-1930  9  2    12.2    12.1    12.1 1
-1930  9  3    10.6    10.5    10.5 1
-1930  9  4     9.5     9.4     9.4 1
-1930  9  5     8.5     8.4     8.4 1
-1930  9  6     9.6     9.5     9.5 1
-1930  9  7    10.3    10.2    10.2 1
-1930  9  8     9.3     9.2     9.2 1
-1930  9  9     8.2     8.1     8.1 1
-1930  9 10     8.7     8.6     8.6 1
-1930  9 11     8.6     8.6     8.6 1
-1930  9 12     9.9     9.9     9.9 1
-1930  9 13    10.7    10.7    10.7 1
-1930  9 14    10.0    10.0    10.0 1
-1930  9 15    12.4    12.4    12.4 1
-1930  9 16    12.4    12.4    12.4 1
-1930  9 17     8.8     8.8     8.8 1
-1930  9 18     6.0     6.0     6.0 1
-1930  9 19     6.4     6.4     6.4 1
-1930  9 20     9.4     9.4     9.4 1
-1930  9 21    12.6    12.6    12.6 1
-1930  9 22     9.7     9.7     9.7 1
-1930  9 23     9.4     9.4     9.4 1
-1930  9 24    12.5    12.5    12.5 1
-1930  9 25    13.6    13.6    13.6 1
-1930  9 26    11.6    11.6    11.6 1
-1930  9 27     8.5     8.5     8.5 1
-1930  9 28     9.5     9.5     9.5 1
-1930  9 29    11.5    11.5    11.5 1
-1930  9 30     6.1     6.1     6.1 1
-1930 10  1     4.2     4.2     4.2 1
-1930 10  2     7.0     7.0     7.0 1
-1930 10  3     9.6     9.6     9.6 1
-1930 10  4     5.6     5.6     5.6 1
-1930 10  5     7.8     7.8     7.8 1
-1930 10  6     5.2     5.2     5.2 1
-1930 10  7     2.5     2.5     2.5 1
-1930 10  8     6.0     6.0     6.0 1
-1930 10  9     6.9     6.9     6.9 1
-1930 10 10     4.8     4.8     4.8 1
-1930 10 11     5.6     5.6     5.6 1
-1930 10 12     8.2     8.2     8.2 1
-1930 10 13     8.7     8.7     8.7 1
-1930 10 14    10.8    10.8    10.8 1
-1930 10 15    11.2    11.2    11.2 1
-1930 10 16    11.9    11.9    11.9 1
-1930 10 17    12.5    12.5    12.5 1
-1930 10 18    10.8    10.8    10.8 1
-1930 10 19    10.1    10.1    10.1 1
-1930 10 20     9.2     9.2     9.2 1
-1930 10 21     9.4     9.4     9.4 1
-1930 10 22     9.7     9.7     9.7 1
-1930 10 23     9.7     9.7     9.7 1
-1930 10 24     9.2     9.1     9.1 1
-1930 10 25     9.1     9.0     9.0 1
-1930 10 26     6.4     6.3     6.3 1
-1930 10 27     6.6     6.5     6.5 1
-1930 10 28     7.5     7.4     7.4 1
-1930 10 29     6.8     6.7     6.7 1
-1930 10 30     5.7     5.6     5.6 1
-1930 10 31     4.7     4.6     4.6 1
-1930 11  1     2.8     2.7     2.7 1
-1930 11  2     4.8     4.7     4.7 1
-1930 11  3     8.6     8.5     8.5 1
-1930 11  4     7.8     7.7     7.7 1
-1930 11  5     5.0     4.9     4.9 1
-1930 11  6     1.5     1.4     1.4 1
-1930 11  7     3.4     3.3     3.3 1
-1930 11  8     4.3     4.2     4.2 1
-1930 11  9     6.5     6.3     6.3 1
-1930 11 10     3.9     3.7     3.7 1
-1930 11 11     0.6     0.4     0.4 1
-1930 11 12     1.4     1.2     1.2 1
-1930 11 13     8.5     8.3     8.3 1
-1930 11 14     4.0     3.8     3.8 1
-1930 11 15     3.7     3.5     3.5 1
-1930 11 16    -1.3    -1.5    -1.5 1
-1930 11 17    -4.1    -4.3    -4.3 1
-1930 11 18    -3.9    -4.1    -4.1 1
-1930 11 19    -3.8    -4.0    -4.0 1
-1930 11 20    -2.7    -2.9    -2.9 1
-1930 11 21     0.3     0.1     0.1 1
-1930 11 22     3.6     3.4     3.4 1
-1930 11 23     4.6     4.4     4.4 1
-1930 11 24     1.2     1.0     1.0 1
-1930 11 25     0.8     0.6     0.6 1
-1930 11 26     4.2     4.0     4.0 1
-1930 11 27     6.1     5.9     5.9 1
-1930 11 28     5.1     4.9     4.9 1
-1930 11 29     4.7     4.5     4.5 1
-1930 11 30     3.2     3.0     3.0 1
-1930 12  1     1.2     1.0     1.0 1
-1930 12  2     2.1     1.9     1.9 1
-1930 12  3     4.5     4.3     4.3 1
-1930 12  4     5.4     5.2     5.2 1
-1930 12  5     4.2     4.0     4.0 1
-1930 12  6     3.9     3.7     3.7 1
-1930 12  7     3.9     3.7     3.7 1
-1930 12  8     3.3     3.1     3.1 1
-1930 12  9     4.1     3.9     3.9 1
-1930 12 10     3.7     3.5     3.5 1
-1930 12 11     3.6     3.4     3.4 1
-1930 12 12     3.4     3.2     3.2 1
-1930 12 13     1.1     0.9     0.9 1
-1930 12 14    -0.9    -1.1    -1.1 1
-1930 12 15    -0.7    -0.9    -0.9 1
-1930 12 16    -1.0    -1.2    -1.2 1
-1930 12 17    -2.9    -3.1    -3.1 1
-1930 12 18    -5.5    -5.8    -5.8 1
-1930 12 19    -2.2    -2.5    -2.5 1
-1930 12 20     3.0     2.7     2.7 1
-1930 12 21     2.8     2.5     2.5 1
-1930 12 22     0.4     0.1     0.1 1
-1930 12 23    -1.8    -2.1    -2.1 1
-1930 12 24    -0.7    -1.0    -1.0 1
-1930 12 25    -1.2    -1.5    -1.5 1
-1930 12 26    -2.4    -2.7    -2.7 1
-1930 12 27    -2.9    -3.2    -3.2 1
-1930 12 28    -0.3    -0.6    -0.6 1
-1930 12 29     2.3     1.9     1.9 1
-1930 12 30     1.9     1.5     1.5 1
-1930 12 31     1.7     1.3     1.3 1
-1931  1  1    -0.3    -0.7    -0.7 1
-1931  1  2     0.1    -0.3    -0.3 1
-1931  1  3    -1.5    -1.9    -1.9 1
-1931  1  4    -2.8    -3.2    -3.2 1
-1931  1  5    -3.2    -3.6    -3.6 1
-1931  1  6    -4.6    -5.0    -5.0 1
-1931  1  7    -2.4    -2.8    -2.8 1
-1931  1  8    -5.5    -5.9    -5.9 1
-1931  1  9    -6.4    -6.9    -6.9 1
-1931  1 10    -1.0    -1.5    -1.5 1
-1931  1 11     0.3    -0.2    -0.2 1
-1931  1 12     1.5     1.0     1.0 1
-1931  1 13    -2.0    -2.5    -2.5 1
-1931  1 14    -2.0    -2.5    -2.5 1
-1931  1 15    -0.7    -1.2    -1.2 1
-1931  1 16    -6.1    -6.6    -6.6 1
-1931  1 17    -4.9    -5.4    -5.4 1
-1931  1 18   -10.2   -10.7   -10.7 1
-1931  1 19    -8.1    -8.6    -8.6 1
-1931  1 20   -10.1   -10.6   -10.6 1
-1931  1 21   -10.3   -10.8   -10.8 1
-1931  1 22    -3.6    -4.1    -4.1 1
-1931  1 23    -0.1    -0.6    -0.6 1
-1931  1 24     1.4     0.9     0.9 1
-1931  1 25     2.0     1.5     1.5 1
-1931  1 26     1.2     0.7     0.7 1
-1931  1 27     1.2     0.7     0.7 1
-1931  1 28    -0.2    -0.7    -0.7 1
-1931  1 29    -5.4    -5.9    -5.9 1
-1931  1 30    -6.0    -6.5    -6.5 1
-1931  1 31    -5.4    -5.9    -5.9 1
-1931  2  1    -4.4    -4.9    -4.9 1
-1931  2  2    -3.5    -4.0    -4.0 1
-1931  2  3    -6.9    -7.4    -7.4 1
-1931  2  4    -4.5    -5.0    -5.0 1
-1931  2  5    -6.4    -6.9    -6.9 1
-1931  2  6    -9.7   -10.2   -10.2 1
-1931  2  7   -11.7   -12.2   -12.2 1
-1931  2  8    -7.1    -7.5    -7.5 1
-1931  2  9    -1.4    -1.8    -1.8 1
-1931  2 10     0.7     0.3     0.3 1
-1931  2 11     2.0     1.6     1.6 1
-1931  2 12     1.2     0.8     0.8 1
-1931  2 13    -1.5    -1.9    -1.9 1
-1931  2 14    -3.8    -4.2    -4.2 1
-1931  2 15    -2.0    -2.4    -2.4 1
-1931  2 16    -4.1    -4.5    -4.5 1
-1931  2 17    -5.8    -6.2    -6.2 1
-1931  2 18    -4.8    -5.2    -5.2 1
-1931  2 19    -2.3    -2.7    -2.7 1
-1931  2 20    -0.1    -0.6    -0.6 1
-1931  2 21     0.8     0.3     0.3 1
-1931  2 22     0.6     0.1     0.1 1
-1931  2 23    -1.1    -1.6    -1.6 1
-1931  2 24    -4.3    -4.8    -4.8 1
-1931  2 25    -0.9    -1.4    -1.4 1
-1931  2 26    -1.3    -1.8    -1.8 1
-1931  2 27    -5.7    -6.2    -6.2 1
-1931  2 28    -4.5    -5.0    -5.0 1
-1931  3  1    -8.7    -9.2    -9.2 1
-1931  3  2    -9.4    -9.9    -9.9 1
-1931  3  3    -7.3    -7.8    -7.8 1
-1931  3  4    -6.9    -7.4    -7.4 1
-1931  3  5    -8.0    -8.5    -8.5 1
-1931  3  6    -6.0    -6.5    -6.5 1
-1931  3  7    -5.2    -5.7    -5.7 1
-1931  3  8    -7.4    -7.9    -7.9 1
-1931  3  9    -8.0    -8.5    -8.5 1
-1931  3 10    -5.6    -6.1    -6.1 1
-1931  3 11    -4.9    -5.4    -5.4 1
-1931  3 12    -6.0    -6.5    -6.5 1
-1931  3 13    -9.6   -10.1   -10.1 1
-1931  3 14    -6.1    -6.6    -6.6 1
-1931  3 15    -7.2    -7.7    -7.7 1
-1931  3 16    -6.4    -6.9    -6.9 1
-1931  3 17    -5.5    -6.0    -6.0 1
-1931  3 18    -3.2    -3.7    -3.7 1
-1931  3 19    -2.1    -2.6    -2.6 1
-1931  3 20     1.7     1.2     1.2 1
-1931  3 21     3.5     3.0     3.0 1
-1931  3 22     4.3     3.8     3.8 1
-1931  3 23     2.3     1.8     1.8 1
-1931  3 24     0.8     0.3     0.3 1
-1931  3 25    -1.2    -1.7    -1.7 1
-1931  3 26     3.2     2.7     2.7 1
-1931  3 27     4.2     3.7     3.7 1
-1931  3 28    -3.8    -4.3    -4.3 1
-1931  3 29    -4.1    -4.6    -4.6 1
-1931  3 30    -4.1    -4.6    -4.6 1
-1931  3 31    -1.5    -2.0    -2.0 1
-1931  4  1    -1.7    -2.2    -2.2 1
-1931  4  2    -1.8    -2.2    -2.2 1
-1931  4  3     0.4     0.0     0.0 1
-1931  4  4     0.0    -0.4    -0.4 1
-1931  4  5     1.8     1.4     1.4 1
-1931  4  6     0.1    -0.3    -0.3 1
-1931  4  7    -1.8    -2.2    -2.2 1
-1931  4  8    -1.4    -1.8    -1.8 1
-1931  4  9    -1.5    -1.9    -1.9 1
-1931  4 10    -0.8    -1.2    -1.2 1
-1931  4 11     0.2    -0.2    -0.2 1
-1931  4 12     0.6     0.2     0.2 1
-1931  4 13     0.0    -0.4    -0.4 1
-1931  4 14     0.1    -0.3    -0.3 1
-1931  4 15     1.4     1.0     1.0 1
-1931  4 16     1.9     1.5     1.5 1
-1931  4 17     2.4     2.0     2.0 1
-1931  4 18     1.2     0.8     0.8 1
-1931  4 19     1.1     0.7     0.7 1
-1931  4 20     1.6     1.2     1.2 1
-1931  4 21     2.0     1.5     1.5 1
-1931  4 22     2.4     1.9     1.9 1
-1931  4 23     3.4     2.9     2.9 1
-1931  4 24     6.7     6.2     6.2 1
-1931  4 25     6.7     6.2     6.2 1
-1931  4 26     4.6     4.1     4.1 1
-1931  4 27     4.0     3.5     3.5 1
-1931  4 28     7.0     6.4     6.4 1
-1931  4 29     7.0     6.4     6.4 1
-1931  4 30     6.4     5.8     5.8 1
-1931  5  1     6.6     6.0     6.0 1
-1931  5  2     7.0     6.4     6.4 1
-1931  5  3     5.9     5.3     5.3 1
-1931  5  4     5.8     5.2     5.2 1
-1931  5  5    10.1     9.5     9.5 1
-1931  5  6    11.4    10.7    10.7 1
-1931  5  7    10.9    10.2    10.2 1
-1931  5  8    10.2     9.5     9.5 1
-1931  5  9     7.0     6.3     6.3 1
-1931  5 10     6.0     5.3     5.3 1
-1931  5 11     7.3     6.6     6.6 1
-1931  5 12     7.9     7.2     7.2 1
-1931  5 13    12.1    11.3    11.3 1
-1931  5 14    13.4    12.6    12.6 1
-1931  5 15    12.8    12.0    12.0 1
-1931  5 16    10.7     9.9     9.9 1
-1931  5 17    10.6     9.8     9.8 1
-1931  5 18    10.7     9.9     9.9 1
-1931  5 19    13.0    12.2    12.2 1
-1931  5 20     7.6     6.9     6.9 1
-1931  5 21     7.8     7.1     7.1 1
-1931  5 22     6.9     6.2     6.2 1
-1931  5 23    10.0     9.3     9.3 1
-1931  5 24    13.2    12.5    12.5 1
-1931  5 25    17.0    16.3    16.3 1
-1931  5 26    16.8    16.1    16.1 1
-1931  5 27    15.2    14.5    14.5 1
-1931  5 28    13.7    13.0    13.0 1
-1931  5 29     9.2     8.5     8.5 1
-1931  5 30     8.2     7.5     7.5 1
-1931  5 31     9.5     8.8     8.8 1
-1931  6  1    11.6    10.9    10.9 1
-1931  6  2    11.7    11.0    11.0 1
-1931  6  3     8.5     7.8     7.8 1
-1931  6  4     8.1     7.4     7.4 1
-1931  6  5     6.3     5.6     5.6 1
-1931  6  6     7.0     6.3     6.3 1
-1931  6  7     8.3     7.7     7.7 1
-1931  6  8     9.1     8.5     8.5 1
-1931  6  9    10.1     9.5     9.5 1
-1931  6 10    13.2    12.6    12.6 1
-1931  6 11    10.1     9.5     9.5 1
-1931  6 12    10.3     9.7     9.7 1
-1931  6 13    11.8    11.2    11.2 1
-1931  6 14    13.8    13.2    13.2 1
-1931  6 15    15.0    14.4    14.4 1
-1931  6 16    14.7    14.1    14.1 1
-1931  6 17    15.5    14.9    14.9 1
-1931  6 18    15.6    15.0    15.0 1
-1931  6 19    15.0    14.4    14.4 1
-1931  6 20    13.6    13.0    13.0 1
-1931  6 21    13.3    12.7    12.7 1
-1931  6 22    11.8    11.2    11.2 1
-1931  6 23    14.0    13.4    13.4 1
-1931  6 24    13.2    12.6    12.6 1
-1931  6 25    13.1    12.5    12.5 1
-1931  6 26    17.4    16.8    16.8 1
-1931  6 27    18.1    17.5    17.5 1
-1931  6 28    15.5    14.9    14.9 1
-1931  6 29    14.2    13.6    13.6 1
-1931  6 30    13.7    13.1    13.1 1
-1931  7  1    13.3    12.7    12.7 1
-1931  7  2    14.5    13.9    13.9 1
-1931  7  3    15.0    14.4    14.4 1
-1931  7  4    17.7    17.1    17.1 1
-1931  7  5    20.8    20.2    20.2 1
-1931  7  6    21.3    20.7    20.7 1
-1931  7  7    16.5    15.9    15.9 1
-1931  7  8    16.3    15.7    15.7 1
-1931  7  9    12.9    12.3    12.3 1
-1931  7 10    16.2    15.6    15.6 1
-1931  7 11    15.2    14.6    14.6 1
-1931  7 12    16.4    15.8    15.8 1
-1931  7 13    15.9    15.3    15.3 1
-1931  7 14    16.5    15.9    15.9 1
-1931  7 15    15.4    14.8    14.8 1
-1931  7 16    14.0    13.4    13.4 1
-1931  7 17    14.8    14.2    14.2 1
-1931  7 18    15.2    14.7    14.7 1
-1931  7 19    13.1    12.6    12.6 1
-1931  7 20    14.5    14.0    14.0 1
-1931  7 21    14.1    13.6    13.6 1
-1931  7 22    14.7    14.2    14.2 1
-1931  7 23    16.9    16.4    16.4 1
-1931  7 24    18.5    18.0    18.0 1
-1931  7 25    19.8    19.3    19.3 1
-1931  7 26    19.7    19.2    19.2 1
-1931  7 27    17.6    17.1    17.1 1
-1931  7 28    17.5    17.0    17.0 1
-1931  7 29    15.6    15.1    15.1 1
-1931  7 30    16.9    16.4    16.4 1
-1931  7 31    15.8    15.4    15.4 1
-1931  8  1    18.4    18.0    18.0 1
-1931  8  2    19.1    18.7    18.7 1
-1931  8  3    19.9    19.5    19.5 1
-1931  8  4    23.5    23.1    23.1 1
-1931  8  5    20.4    20.0    20.0 1
-1931  8  6    20.0    19.6    19.6 1
-1931  8  7    19.4    19.0    19.0 1
-1931  8  8    15.5    15.1    15.1 1
-1931  8  9    15.0    14.6    14.6 1
-1931  8 10    14.5    14.1    14.1 1
-1931  8 11    13.5    13.1    13.1 1
-1931  8 12    14.0    13.6    13.6 1
-1931  8 13    13.0    12.7    12.7 1
-1931  8 14    13.0    12.7    12.7 1
-1931  8 15    14.6    14.3    14.3 1
-1931  8 16    15.4    15.1    15.1 1
-1931  8 17    14.6    14.3    14.3 1
-1931  8 18    14.2    13.9    13.9 1
-1931  8 19    15.0    14.7    14.7 1
-1931  8 20    15.6    15.3    15.3 1
-1931  8 21    15.5    15.2    15.2 1
-1931  8 22    14.5    14.2    14.2 1
-1931  8 23    12.4    12.2    12.2 1
-1931  8 24    12.1    11.9    11.9 1
-1931  8 25    12.2    12.0    12.0 1
-1931  8 26    11.6    11.4    11.4 1
-1931  8 27    12.1    11.9    11.9 1
-1931  8 28    13.8    13.6    13.6 1
-1931  8 29    14.9    14.7    14.7 1
-1931  8 30    11.6    11.4    11.4 1
-1931  8 31    13.9    13.7    13.7 1
-1931  9  1    11.3    11.1    11.1 1
-1931  9  2    10.3    10.2    10.2 1
-1931  9  3    14.9    14.8    14.8 1
-1931  9  4    10.2    10.1    10.1 1
-1931  9  5    10.1    10.0    10.0 1
-1931  9  6     7.9     7.8     7.8 1
-1931  9  7     9.1     9.0     9.0 1
-1931  9  8     8.0     7.9     7.9 1
-1931  9  9     7.7     7.6     7.6 1
-1931  9 10     6.6     6.5     6.5 1
-1931  9 11     8.1     8.0     8.0 1
-1931  9 12     8.5     8.5     8.5 1
-1931  9 13     6.9     6.9     6.9 1
-1931  9 14     7.6     7.6     7.6 1
-1931  9 15     9.4     9.4     9.4 1
-1931  9 16    13.3    13.3    13.3 1
-1931  9 17    11.7    11.7    11.7 1
-1931  9 18    10.6    10.6    10.6 1
-1931  9 19     9.6     9.6     9.6 1
-1931  9 20     7.9     7.9     7.9 1
-1931  9 21     5.0     5.0     5.0 1
-1931  9 22     4.3     4.3     4.3 1
-1931  9 23     6.2     6.2     6.2 1
-1931  9 24    10.1    10.1    10.1 1
-1931  9 25     6.8     6.8     6.8 1
-1931  9 26     3.1     3.1     3.1 1
-1931  9 27     5.2     5.2     5.2 1
-1931  9 28     7.4     7.4     7.4 1
-1931  9 29     8.4     8.4     8.4 1
-1931  9 30     7.2     7.2     7.2 1
-1931 10  1     9.7     9.7     9.7 1
-1931 10  2    11.8    11.8    11.8 1
-1931 10  3    10.5    10.5    10.5 1
-1931 10  4     5.9     5.9     5.9 1
-1931 10  5     9.8     9.8     9.8 1
-1931 10  6    10.4    10.4    10.4 1
-1931 10  7    11.2    11.2    11.2 1
-1931 10  8     9.4     9.4     9.4 1
-1931 10  9    10.5    10.5    10.5 1
-1931 10 10    12.2    12.2    12.2 1
-1931 10 11    10.2    10.2    10.2 1
-1931 10 12     9.2     9.2     9.2 1
-1931 10 13    10.8    10.8    10.8 1
-1931 10 14     6.9     6.9     6.9 1
-1931 10 15     5.8     5.8     5.8 1
-1931 10 16     8.3     8.3     8.3 1
-1931 10 17     8.3     8.3     8.3 1
-1931 10 18     2.4     2.4     2.4 1
-1931 10 19     6.4     6.4     6.4 1
-1931 10 20     3.8     3.8     3.8 1
-1931 10 21     1.8     1.8     1.8 1
-1931 10 22     0.5     0.5     0.5 1
-1931 10 23     1.2     1.1     1.1 1
-1931 10 24     0.0    -0.1    -0.1 1
-1931 10 25    -1.4    -1.5    -1.5 1
-1931 10 26    -3.1    -3.2    -3.2 1
-1931 10 27     0.7     0.6     0.6 1
-1931 10 28     2.3     2.2     2.2 1
-1931 10 29     0.1     0.0     0.0 1
-1931 10 30    -0.2    -0.3    -0.3 1
-1931 10 31    -2.1    -2.2    -2.2 1
-1931 11  1    -3.3    -3.4    -3.4 1
-1931 11  2     4.0     3.9     3.9 1
-1931 11  3     6.2     6.1     6.1 1
-1931 11  4    11.3    11.2    11.2 1
-1931 11  5     9.6     9.5     9.5 1
-1931 11  6     5.8     5.7     5.7 1
-1931 11  7     6.0     5.8     5.8 1
-1931 11  8     6.7     6.5     6.5 1
-1931 11  9     6.0     5.8     5.8 1
-1931 11 10     6.9     6.7     6.7 1
-1931 11 11     6.8     6.6     6.6 1
-1931 11 12     7.2     7.0     7.0 1
-1931 11 13     6.6     6.4     6.4 1
-1931 11 14     5.6     5.4     5.4 1
-1931 11 15     3.7     3.5     3.5 1
-1931 11 16     3.1     2.9     2.9 1
-1931 11 17     3.0     2.8     2.8 1
-1931 11 18     3.4     3.2     3.2 1
-1931 11 19     2.2     2.0     2.0 1
-1931 11 20     2.4     2.2     2.2 1
-1931 11 21     2.8     2.6     2.6 1
-1931 11 22     2.1     1.9     1.9 1
-1931 11 23     1.8     1.6     1.6 1
-1931 11 24     1.4     1.2     1.2 1
-1931 11 25     3.0     2.8     2.8 1
-1931 11 26     3.5     3.3     3.3 1
-1931 11 27     1.1     0.9     0.9 1
-1931 11 28     0.2     0.0     0.0 1
-1931 11 29    -0.5    -0.7    -0.7 1
-1931 11 30    -2.5    -2.7    -2.7 1
-1931 12  1    -1.8    -2.0    -2.0 1
-1931 12  2    -1.0    -1.2    -1.2 1
-1931 12  3     1.5     1.3     1.3 1
-1931 12  4     2.9     2.7     2.7 1
-1931 12  5     3.2     3.0     3.0 1
-1931 12  6     1.7     1.5     1.5 1
-1931 12  7     0.2     0.0     0.0 1
-1931 12  8    -1.0    -1.2    -1.2 1
-1931 12  9    -2.3    -2.5    -2.5 1
-1931 12 10    -5.2    -5.4    -5.4 1
-1931 12 11    -1.7    -1.9    -1.9 1
-1931 12 12     1.2     1.0     1.0 1
-1931 12 13     0.1    -0.1    -0.1 1
-1931 12 14    -0.6    -0.8    -0.8 1
-1931 12 15    -1.6    -1.8    -1.8 1
-1931 12 16    -4.8    -5.0    -5.0 1
-1931 12 17    -4.7    -5.0    -5.0 1
-1931 12 18    -3.8    -4.1    -4.1 1
-1931 12 19     0.7     0.4     0.4 1
-1931 12 20    -2.9    -3.2    -3.2 1
-1931 12 21    -1.3    -1.6    -1.6 1
-1931 12 22    -2.9    -3.2    -3.2 1
-1931 12 23    -2.1    -2.4    -2.4 1
-1931 12 24     3.4     3.1     3.1 1
-1931 12 25     3.2     2.9     2.9 1
-1931 12 26    -1.8    -2.1    -2.1 1
-1931 12 27     0.0    -0.3    -0.3 1
-1931 12 28    -1.4    -1.8    -1.8 1
-1931 12 29    -5.5    -5.9    -5.9 1
-1931 12 30    -8.8    -9.2    -9.2 1
-1931 12 31    -9.8   -10.2   -10.2 1
-1932  1  1    -6.7    -7.1    -7.1 1
-1932  1  2    -1.7    -2.1    -2.1 1
-1932  1  3    -6.3    -6.7    -6.7 1
-1932  1  4   -10.3   -10.7   -10.7 1
-1932  1  5     0.4     0.0     0.0 1
-1932  1  6     2.8     2.4     2.4 1
-1932  1  7     1.5     1.1     1.1 1
-1932  1  8     0.2    -0.3    -0.3 1
-1932  1  9    -5.4    -5.9    -5.9 1
-1932  1 10    -3.2    -3.7    -3.7 1
-1932  1 11     1.0     0.5     0.5 1
-1932  1 12     1.6     1.1     1.1 1
-1932  1 13     2.5     2.0     2.0 1
-1932  1 14     3.5     3.0     3.0 1
-1932  1 15     0.7     0.2     0.2 1
-1932  1 16     3.6     3.1     3.1 1
-1932  1 17     4.8     4.3     4.3 1
-1932  1 18     5.8     5.3     5.3 1
-1932  1 19     8.9     8.4     8.4 1
-1932  1 20     6.5     6.0     6.0 1
-1932  1 21     5.6     5.1     5.1 1
-1932  1 22     2.7     2.2     2.2 1
-1932  1 23     2.0     1.5     1.5 1
-1932  1 24     3.6     3.1     3.1 1
-1932  1 25     2.4     1.9     1.9 1
-1932  1 26     3.1     2.6     2.6 1
-1932  1 27     4.9     4.4     4.4 1
-1932  1 28     5.6     5.1     5.1 1
-1932  1 29     4.1     3.6     3.6 1
-1932  1 30     1.6     1.1     1.1 1
-1932  1 31    -1.4    -1.9    -1.9 1
-1932  2  1     1.4     0.9     0.9 1
-1932  2  2    -2.1    -2.6    -2.6 1
-1932  2  3    -1.1    -1.6    -1.6 1
-1932  2  4     2.0     1.5     1.5 1
-1932  2  5    -6.0    -6.5    -6.5 1
-1932  2  6     0.6     0.1     0.1 1
-1932  2  7     1.3     0.8     0.8 1
-1932  2  8    -4.7    -5.2    -5.2 1
-1932  2  9    -9.9   -10.4   -10.4 1
-1932  2 10    -8.1    -8.6    -8.6 1
-1932  2 11    -3.7    -4.2    -4.2 1
-1932  2 12    -4.6    -5.1    -5.1 1
-1932  2 13    -3.3    -3.7    -3.7 1
-1932  2 14    -3.8    -4.2    -4.2 1
-1932  2 15    -0.7    -1.1    -1.1 1
-1932  2 16    -2.4    -2.8    -2.8 1
-1932  2 17     1.1     0.6     0.6 1
-1932  2 18    -0.4    -0.9    -0.9 1
-1932  2 19     0.9     0.4     0.4 1
-1932  2 20    -4.8    -5.3    -5.3 1
-1932  2 21     0.7     0.2     0.2 1
-1932  2 22    -1.5    -2.0    -2.0 1
-1932  2 23    -5.8    -6.3    -6.3 1
-1932  2 24    -6.3    -6.8    -6.8 1
-1932  2 25    -4.1    -4.6    -4.6 1
-1932  2 26     0.0    -0.5    -0.5 1
-1932  2 27    -1.7    -2.2    -2.2 1
-1932  2 28    -2.5    -3.0    -3.0 1
-1932  2 29    -0.9    -1.4    -1.4 1
-1932  3  1    -2.7    -3.2    -3.2 1
-1932  3  2    -1.5    -2.0    -2.0 1
-1932  3  3    -1.4    -1.9    -1.9 1
-1932  3  4    -2.7    -3.2    -3.2 1
-1932  3  5    -1.8    -2.3    -2.3 1
-1932  3  6    -2.2    -2.7    -2.7 1
-1932  3  7    -3.2    -3.7    -3.7 1
-1932  3  8    -5.5    -6.0    -6.0 1
-1932  3  9    -7.7    -8.2    -8.2 1
-1932  3 10   -10.7   -11.2   -11.2 1
-1932  3 11   -10.9   -11.4   -11.4 1
-1932  3 12    -6.6    -7.1    -7.1 1
-1932  3 13    -3.9    -4.4    -4.4 1
-1932  3 14    -0.6    -1.1    -1.1 1
-1932  3 15    -1.2    -1.7    -1.7 1
-1932  3 16    -0.4    -0.9    -0.9 1
-1932  3 17    -2.8    -3.3    -3.3 1
-1932  3 18    -3.0    -3.5    -3.5 1
-1932  3 19    -3.1    -3.6    -3.6 1
-1932  3 20    -2.9    -3.4    -3.4 1
-1932  3 21    -4.2    -4.7    -4.7 1
-1932  3 22    -0.6    -1.1    -1.1 1
-1932  3 23     0.0    -0.5    -0.5 1
-1932  3 24    -1.9    -2.4    -2.4 1
-1932  3 25     1.2     0.7     0.7 1
-1932  3 26     2.8     2.3     2.3 1
-1932  3 27     3.6     3.1     3.1 1
-1932  3 28     2.2     1.7     1.7 1
-1932  3 29     1.6     1.1     1.1 1
-1932  3 30     3.0     2.5     2.5 1
-1932  3 31     3.2     2.7     2.7 1
-1932  4  1     2.4     1.9     1.9 1
-1932  4  2     2.5     2.0     2.0 1
-1932  4  3     3.9     3.4     3.4 1
-1932  4  4     2.5     2.1     2.1 1
-1932  4  5     0.7     0.3     0.3 1
-1932  4  6     1.3     0.9     0.9 1
-1932  4  7     0.9     0.5     0.5 1
-1932  4  8    -0.3    -0.7    -0.7 1
-1932  4  9     1.0     0.6     0.6 1
-1932  4 10     3.3     2.9     2.9 1
-1932  4 11     5.2     4.8     4.8 1
-1932  4 12     5.8     5.4     5.4 1
-1932  4 13     5.6     5.2     5.2 1
-1932  4 14     4.8     4.4     4.4 1
-1932  4 15     2.5     2.1     2.1 1
-1932  4 16     2.9     2.5     2.5 1
-1932  4 17     3.0     2.6     2.6 1
-1932  4 18     2.6     2.2     2.2 1
-1932  4 19     2.3     1.9     1.9 1
-1932  4 20     3.4     2.9     2.9 1
-1932  4 21     4.8     4.3     4.3 1
-1932  4 22     8.3     7.8     7.8 1
-1932  4 23     7.1     6.6     6.6 1
-1932  4 24     6.6     6.1     6.1 1
-1932  4 25     5.0     4.5     4.5 1
-1932  4 26     5.2     4.7     4.7 1
-1932  4 27     4.8     4.2     4.2 1
-1932  4 28     4.9     4.3     4.3 1
-1932  4 29     5.5     4.9     4.9 1
-1932  4 30     4.0     3.4     3.4 1
-1932  5  1     7.8     7.2     7.2 1
-1932  5  2     6.6     6.0     6.0 1
-1932  5  3     7.4     6.8     6.8 1
-1932  5  4     5.6     5.0     5.0 1
-1932  5  5     3.7     3.0     3.0 1
-1932  5  6     3.7     3.0     3.0 1
-1932  5  7     4.3     3.6     3.6 1
-1932  5  8     6.5     5.8     5.8 1
-1932  5  9     6.3     5.6     5.6 1
-1932  5 10     3.1     2.4     2.4 1
-1932  5 11     7.0     6.3     6.3 1
-1932  5 12     8.5     7.7     7.7 1
-1932  5 13     9.8     9.0     9.0 1
-1932  5 14    11.1    10.3    10.3 1
-1932  5 15    10.0     9.2     9.2 1
-1932  5 16    11.8    11.0    11.0 1
-1932  5 17    15.0    14.2    14.2 1
-1932  5 18    16.5    15.7    15.7 1
-1932  5 19    13.1    12.3    12.3 1
-1932  5 20    14.2    13.4    13.4 1
-1932  5 21    13.2    12.4    12.4 1
-1932  5 22     6.8     6.0     6.0 1
-1932  5 23     9.3     8.6     8.6 1
-1932  5 24    11.3    10.6    10.6 1
-1932  5 25     7.4     6.7     6.7 1
-1932  5 26     9.5     8.8     8.8 1
-1932  5 27    10.2     9.5     9.5 1
-1932  5 28    10.9    10.2    10.2 1
-1932  5 29    13.2    12.5    12.5 1
-1932  5 30    15.2    14.5    14.5 1
-1932  5 31    15.2    14.5    14.5 1
-1932  6  1    12.4    11.7    11.7 1
-1932  6  2    12.6    11.9    11.9 1
-1932  6  3     9.7     9.0     9.0 1
-1932  6  4     8.8     8.1     8.1 1
-1932  6  5     8.3     7.6     7.6 1
-1932  6  6    11.4    10.7    10.7 1
-1932  6  7    12.3    11.6    11.6 1
-1932  6  8     8.3     7.6     7.6 1
-1932  6  9     8.9     8.3     8.3 1
-1932  6 10    11.4    10.8    10.8 1
-1932  6 11    15.3    14.7    14.7 1
-1932  6 12    14.7    14.1    14.1 1
-1932  6 13    13.0    12.4    12.4 1
-1932  6 14    14.0    13.4    13.4 1
-1932  6 15    12.7    12.1    12.1 1
-1932  6 16    11.0    10.4    10.4 1
-1932  6 17     8.5     7.9     7.9 1
-1932  6 18    11.2    10.6    10.6 1
-1932  6 19     9.9     9.3     9.3 1
-1932  6 20    10.0     9.4     9.4 1
-1932  6 21     9.8     9.2     9.2 1
-1932  6 22    13.2    12.6    12.6 1
-1932  6 23    15.7    15.1    15.1 1
-1932  6 24    14.8    14.2    14.2 1
-1932  6 25    15.5    14.9    14.9 1
-1932  6 26    14.0    13.4    13.4 1
-1932  6 27    16.4    15.8    15.8 1
-1932  6 28    18.1    17.5    17.5 1
-1932  6 29    17.5    16.9    16.9 1
-1932  6 30    14.9    14.3    14.3 1
-1932  7  1    15.9    15.3    15.3 1
-1932  7  2    17.5    16.9    16.9 1
-1932  7  3    19.5    18.9    18.9 1
-1932  7  4    19.3    18.7    18.7 1
-1932  7  5    20.5    19.9    19.9 1
-1932  7  6    21.0    20.4    20.4 1
-1932  7  7    21.4    20.8    20.8 1
-1932  7  8    20.5    19.9    19.9 1
-1932  7  9    19.7    19.1    19.1 1
-1932  7 10    20.1    19.5    19.5 1
-1932  7 11    21.2    20.6    20.6 1
-1932  7 12    23.0    22.4    22.4 1
-1932  7 13    17.9    17.3    17.3 1
-1932  7 14    18.5    17.9    17.9 1
-1932  7 15    17.6    17.0    17.0 1
-1932  7 16    17.7    17.1    17.1 1
-1932  7 17    17.8    17.2    17.2 1
-1932  7 18    18.7    18.1    18.1 1
-1932  7 19    14.1    13.6    13.6 1
-1932  7 20    15.3    14.8    14.8 1
-1932  7 21    17.9    17.4    17.4 1
-1932  7 22    18.3    17.8    17.8 1
-1932  7 23    19.0    18.5    18.5 1
-1932  7 24    18.7    18.2    18.2 1
-1932  7 25    19.1    18.6    18.6 1
-1932  7 26    21.6    21.1    21.1 1
-1932  7 27    20.5    20.0    20.0 1
-1932  7 28    19.3    18.8    18.8 1
-1932  7 29    18.0    17.5    17.5 1
-1932  7 30    17.3    16.8    16.8 1
-1932  7 31    19.0    18.5    18.5 1
-1932  8  1    19.3    18.9    18.9 1
-1932  8  2    17.3    16.9    16.9 1
-1932  8  3    17.0    16.6    16.6 1
-1932  8  4    15.0    14.6    14.6 1
-1932  8  5    17.3    16.9    16.9 1
-1932  8  6    16.9    16.5    16.5 1
-1932  8  7    18.6    18.2    18.2 1
-1932  8  8    14.7    14.3    14.3 1
-1932  8  9    14.4    14.0    14.0 1
-1932  8 10    15.6    15.2    15.2 1
-1932  8 11    16.3    15.9    15.9 1
-1932  8 12    18.2    17.8    17.8 1
-1932  8 13    18.9    18.5    18.5 1
-1932  8 14    20.1    19.8    19.8 1
-1932  8 15    19.1    18.8    18.8 1
-1932  8 16    18.0    17.7    17.7 1
-1932  8 17    18.5    18.2    18.2 1
-1932  8 18    18.5    18.2    18.2 1
-1932  8 19    16.6    16.3    16.3 1
-1932  8 20    15.0    14.7    14.7 1
-1932  8 21    14.8    14.5    14.5 1
-1932  8 22    12.8    12.5    12.5 1
-1932  8 23    15.5    15.2    15.2 1
-1932  8 24    14.3    14.1    14.1 1
-1932  8 25    16.6    16.4    16.4 1
-1932  8 26    15.4    15.2    15.2 1
-1932  8 27    15.9    15.7    15.7 1
-1932  8 28    13.4    13.2    13.2 1
-1932  8 29    13.6    13.4    13.4 1
-1932  8 30    13.4    13.2    13.2 1
-1932  8 31    15.2    15.0    15.0 1
-1932  9  1    15.7    15.5    15.5 1
-1932  9  2    15.1    14.9    14.9 1
-1932  9  3    14.5    14.4    14.4 1
-1932  9  4    12.1    12.0    12.0 1
-1932  9  5    12.9    12.8    12.8 1
-1932  9  6    12.7    12.6    12.6 1
-1932  9  7    15.8    15.7    15.7 1
-1932  9  8    13.8    13.7    13.7 1
-1932  9  9    14.9    14.8    14.8 1
-1932  9 10    16.6    16.5    16.5 1
-1932  9 11    13.3    13.2    13.2 1
-1932  9 12    12.2    12.1    12.1 1
-1932  9 13    10.9    10.9    10.9 1
-1932  9 14     8.8     8.8     8.8 1
-1932  9 15    13.2    13.2    13.2 1
-1932  9 16    12.3    12.3    12.3 1
-1932  9 17    10.2    10.2    10.2 1
-1932  9 18    12.4    12.4    12.4 1
-1932  9 19    12.8    12.8    12.8 1
-1932  9 20    10.1    10.1    10.1 1
-1932  9 21     7.3     7.3     7.3 1
-1932  9 22     6.0     6.0     6.0 1
-1932  9 23     8.4     8.4     8.4 1
-1932  9 24     7.8     7.8     7.8 1
-1932  9 25     9.2     9.2     9.2 1
-1932  9 26    11.9    11.9    11.9 1
-1932  9 27     9.9     9.9     9.9 1
-1932  9 28     8.4     8.4     8.4 1
-1932  9 29    13.2    13.2    13.2 1
-1932  9 30    12.8    12.8    12.8 1
-1932 10  1    12.1    12.1    12.1 1
-1932 10  2     6.4     6.4     6.4 1
-1932 10  3     4.3     4.3     4.3 1
-1932 10  4     4.8     4.8     4.8 1
-1932 10  5     2.5     2.5     2.5 1
-1932 10  6     3.4     3.4     3.4 1
-1932 10  7     7.5     7.5     7.5 1
-1932 10  8     8.3     8.3     8.3 1
-1932 10  9     7.9     7.9     7.9 1
-1932 10 10     7.3     7.3     7.3 1
-1932 10 11     7.4     7.4     7.4 1
-1932 10 12     8.6     8.6     8.6 1
-1932 10 13     8.6     8.6     8.6 1
-1932 10 14     8.5     8.5     8.5 1
-1932 10 15     8.9     8.9     8.9 1
-1932 10 16     7.0     7.0     7.0 1
-1932 10 17     7.7     7.7     7.7 1
-1932 10 18     5.8     5.8     5.8 1
-1932 10 19     3.6     3.6     3.6 1
-1932 10 20     0.7     0.7     0.7 1
-1932 10 21     4.3     4.3     4.3 1
-1932 10 22     5.4     5.3     5.3 1
-1932 10 23     8.9     8.8     8.8 1
-1932 10 24     3.8     3.7     3.7 1
-1932 10 25     1.4     1.3     1.3 1
-1932 10 26     1.5     1.4     1.4 1
-1932 10 27     2.3     2.2     2.2 1
-1932 10 28     0.9     0.8     0.8 1
-1932 10 29     0.9     0.8     0.8 1
-1932 10 30     0.7     0.6     0.6 1
-1932 10 31    -0.7    -0.8    -0.8 1
-1932 11  1    -1.3    -1.4    -1.4 1
-1932 11  2     2.1     2.0     2.0 1
-1932 11  3     4.4     4.3     4.3 1
-1932 11  4     6.5     6.4     6.4 1
-1932 11  5     5.3     5.2     5.2 1
-1932 11  6     1.4     1.2     1.2 1
-1932 11  7     3.3     3.1     3.1 1
-1932 11  8     3.5     3.3     3.3 1
-1932 11  9     5.7     5.5     5.5 1
-1932 11 10     6.0     5.8     5.8 1
-1932 11 11     2.9     2.7     2.7 1
-1932 11 12     1.1     0.9     0.9 1
-1932 11 13    -0.4    -0.6    -0.6 1
-1932 11 14    -1.3    -1.5    -1.5 1
-1932 11 15     1.9     1.7     1.7 1
-1932 11 16     1.0     0.8     0.8 1
-1932 11 17     2.2     2.0     2.0 1
-1932 11 18    -0.7    -0.9    -0.9 1
-1932 11 19     1.6     1.4     1.4 1
-1932 11 20     2.0     1.8     1.8 1
-1932 11 21     4.1     3.9     3.9 1
-1932 11 22     3.8     3.6     3.6 1
-1932 11 23     3.7     3.5     3.5 1
-1932 11 24     2.3     2.1     2.1 1
-1932 11 25     1.8     1.6     1.6 1
-1932 11 26    -0.9    -1.1    -1.1 1
-1932 11 27     4.8     4.6     4.6 1
-1932 11 28     2.2     2.0     2.0 1
-1932 11 29     5.6     5.4     5.4 1
-1932 11 30     6.7     6.5     6.5 1
-1932 12  1     3.1     2.9     2.9 1
-1932 12  2     3.2     3.0     3.0 1
-1932 12  3     3.7     3.5     3.5 1
-1932 12  4     3.5     3.3     3.3 1
-1932 12  5     3.2     3.0     3.0 1
-1932 12  6     0.5     0.3     0.3 1
-1932 12  7    -1.9    -2.1    -2.1 1
-1932 12  8    -1.7    -1.9    -1.9 1
-1932 12  9    -1.0    -1.2    -1.2 1
-1932 12 10     0.1    -0.1    -0.1 1
-1932 12 11     0.7     0.5     0.5 1
-1932 12 12    -1.4    -1.6    -1.6 1
-1932 12 13    -1.1    -1.3    -1.3 1
-1932 12 14     1.7     1.5     1.5 1
-1932 12 15     1.7     1.5     1.5 1
-1932 12 16     4.0     3.7     3.7 1
-1932 12 17     6.4     6.1     6.1 1
-1932 12 18     8.7     8.4     8.4 1
-1932 12 19     7.5     7.2     7.2 1
-1932 12 20     5.4     5.1     5.1 1
-1932 12 21     3.1     2.8     2.8 1
-1932 12 22     3.4     3.1     3.1 1
-1932 12 23     3.0     2.7     2.7 1
-1932 12 24     4.1     3.8     3.8 1
-1932 12 25     1.7     1.4     1.4 1
-1932 12 26     3.1     2.8     2.8 1
-1932 12 27     4.4     4.0     4.0 1
-1932 12 28     4.7     4.3     4.3 1
-1932 12 29     4.7     4.3     4.3 1
-1932 12 30     0.4     0.0     0.0 1
-1932 12 31     0.8     0.4     0.4 1
-1933  1  1     2.5     2.1     2.1 1
-1933  1  2     2.6     2.2     2.2 1
-1933  1  3     3.9     3.5     3.5 1
-1933  1  4     3.3     2.9     2.9 1
-1933  1  5     3.6     3.2     3.2 1
-1933  1  6     3.3     2.9     2.9 1
-1933  1  7     1.7     1.2     1.2 1
-1933  1  8     1.6     1.1     1.1 1
-1933  1  9     1.4     0.9     0.9 1
-1933  1 10     1.1     0.6     0.6 1
-1933  1 11    -0.8    -1.3    -1.3 1
-1933  1 12    -0.7    -1.2    -1.2 1
-1933  1 13    -1.8    -2.3    -2.3 1
-1933  1 14    -2.4    -2.9    -2.9 1
-1933  1 15    -2.8    -3.3    -3.3 1
-1933  1 16    -2.4    -2.9    -2.9 1
-1933  1 17    -4.8    -5.3    -5.3 1
-1933  1 18    -5.5    -6.0    -6.0 1
-1933  1 19    -7.0    -7.5    -7.5 1
-1933  1 20    -9.1    -9.6    -9.6 1
-1933  1 21    -9.7   -10.2   -10.2 1
-1933  1 22   -13.6   -14.1   -14.1 1
-1933  1 23   -11.9   -12.4   -12.4 1
-1933  1 24    -4.9    -5.4    -5.4 1
-1933  1 25    -0.9    -1.4    -1.4 1
-1933  1 26    -0.4    -0.9    -0.9 1
-1933  1 27    -1.3    -1.8    -1.8 1
-1933  1 28     0.7     0.2     0.2 1
-1933  1 29    -1.4    -1.9    -1.9 1
-1933  1 30    -4.0    -4.5    -4.5 1
-1933  1 31    -0.6    -1.1    -1.1 1
-1933  2  1    -0.2    -0.7    -0.7 1
-1933  2  2     2.4     1.9     1.9 1
-1933  2  3     1.2     0.7     0.7 1
-1933  2  4    -0.7    -1.2    -1.2 1
-1933  2  5     0.4    -0.1    -0.1 1
-1933  2  6    -3.2    -3.7    -3.7 1
-1933  2  7    -4.4    -4.9    -4.9 1
-1933  2  8    -0.4    -0.9    -0.9 1
-1933  2  9     3.7     3.2     3.2 1
-1933  2 10    -1.4    -1.9    -1.9 1
-1933  2 11    -3.1    -3.6    -3.6 1
-1933  2 12     0.0    -0.5    -0.5 1
-1933  2 13    -0.6    -1.1    -1.1 1
-1933  2 14    -4.0    -4.5    -4.5 1
-1933  2 15    -6.0    -6.5    -6.5 1
-1933  2 16    -7.3    -7.8    -7.8 1
-1933  2 17    -7.7    -8.2    -8.2 1
-1933  2 18    -8.4    -8.9    -8.9 1
-1933  2 19    -9.9   -10.4   -10.4 1
-1933  2 20    -6.7    -7.2    -7.2 1
-1933  2 21    -2.9    -3.4    -3.4 1
-1933  2 22    -4.8    -5.3    -5.3 1
-1933  2 23    -6.0    -6.5    -6.5 1
-1933  2 24    -3.9    -4.4    -4.4 1
-1933  2 25    -3.8    -4.3    -4.3 1
-1933  2 26    -2.7    -3.2    -3.2 1
-1933  2 27    -3.8    -4.3    -4.3 1
-1933  2 28    -2.3    -2.8    -2.8 1
-1933  3  1    -3.8    -4.3    -4.3 1
-1933  3  2    -2.0    -2.5    -2.5 1
-1933  3  3    -1.6    -2.1    -2.1 1
-1933  3  4    -2.6    -3.1    -3.1 1
-1933  3  5    -2.8    -3.3    -3.3 1
-1933  3  6    -2.3    -2.8    -2.8 1
-1933  3  7    -2.5    -3.0    -3.0 1
-1933  3  8    -1.0    -1.5    -1.5 1
-1933  3  9    -0.9    -1.4    -1.4 1
-1933  3 10     1.0     0.5     0.5 1
-1933  3 11     2.2     1.7     1.7 1
-1933  3 12     1.2     0.7     0.7 1
-1933  3 13     1.6     1.0     1.0 1
-1933  3 14     0.5    -0.1    -0.1 1
-1933  3 15     2.9     2.3     2.3 1
-1933  3 16     4.1     3.5     3.5 1
-1933  3 17     4.9     4.3     4.3 1
-1933  3 18     4.3     3.8     3.8 1
-1933  3 19    -4.2    -4.7    -4.7 1
-1933  3 20    -1.8    -2.3    -2.3 1
-1933  3 21    -2.6    -3.1    -3.1 1
-1933  3 22    -1.9    -2.4    -2.4 1
-1933  3 23     0.7     0.2     0.2 1
-1933  3 24     3.5     3.0     3.0 1
-1933  3 25     6.6     6.1     6.1 1
-1933  3 26     5.1     4.6     4.6 1
-1933  3 27     4.1     3.6     3.6 1
-1933  3 28     7.8     7.3     7.3 1
-1933  3 29     7.7     7.2     7.2 1
-1933  3 30     8.4     7.9     7.9 1
-1933  3 31     5.6     5.1     5.1 1
-1933  4  1     5.4     4.9     4.9 1
-1933  4  2    -0.7    -1.2    -1.2 1
-1933  4  3     0.0    -0.5    -0.5 1
-1933  4  4     0.3    -0.2    -0.2 1
-1933  4  5     1.4     0.9     0.9 1
-1933  4  6     3.1     2.6     2.6 1
-1933  4  7     0.0    -0.4    -0.4 1
-1933  4  8     1.6     1.2     1.2 1
-1933  4  9     5.2     4.8     4.8 1
-1933  4 10     6.0     5.6     5.6 1
-1933  4 11     7.7     7.3     7.3 1
-1933  4 12     5.8     5.4     5.4 1
-1933  4 13     6.4     6.0     6.0 1
-1933  4 14     3.4     3.0     3.0 1
-1933  4 15     2.9     2.5     2.5 1
-1933  4 16    -1.2    -1.6    -1.6 1
-1933  4 17    -1.3    -1.7    -1.7 1
-1933  4 18     0.2    -0.2    -0.2 1
-1933  4 19     0.2    -0.3    -0.3 1
-1933  4 20    -0.1    -0.6    -0.6 1
-1933  4 21     1.1     0.6     0.6 1
-1933  4 22     5.6     5.1     5.1 1
-1933  4 23     3.5     3.0     3.0 1
-1933  4 24     5.3     4.8     4.8 1
-1933  4 25     5.5     5.0     5.0 1
-1933  4 26     7.6     7.0     7.0 1
-1933  4 27     7.0     6.4     6.4 1
-1933  4 28     8.3     7.7     7.7 1
-1933  4 29    10.3     9.7     9.7 1
-1933  4 30     9.0     8.4     8.4 1
-1933  5  1     3.9     3.3     3.3 1
-1933  5  2     4.6     4.0     4.0 1
-1933  5  3     7.5     6.9     6.9 1
-1933  5  4     4.7     4.0     4.0 1
-1933  5  5     6.2     5.5     5.5 1
-1933  5  6    10.7    10.0    10.0 1
-1933  5  7     5.6     4.9     4.9 1
-1933  5  8     5.5     4.8     4.8 1
-1933  5  9     6.1     5.4     5.4 1
-1933  5 10     6.7     6.0     6.0 1
-1933  5 11     6.3     5.5     5.5 1
-1933  5 12     6.1     5.3     5.3 1
-1933  5 13     6.3     5.5     5.5 1
-1933  5 14     6.4     5.6     5.6 1
-1933  5 15     4.7     3.9     3.9 1
-1933  5 16     4.9     4.1     4.1 1
-1933  5 17     5.5     4.7     4.7 1
-1933  5 18     8.1     7.3     7.3 1
-1933  5 19    11.3    10.5    10.5 1
-1933  5 20    14.4    13.6    13.6 1
-1933  5 21     9.5     8.7     8.7 1
-1933  5 22     8.5     7.7     7.7 1
-1933  5 23     8.7     7.9     7.9 1
-1933  5 24    12.2    11.4    11.4 1
-1933  5 25     7.4     6.6     6.6 1
-1933  5 26    12.4    11.7    11.7 1
-1933  5 27    12.1    11.4    11.4 1
-1933  5 28    12.4    11.7    11.7 1
-1933  5 29    12.5    11.8    11.8 1
-1933  5 30    12.1    11.4    11.4 1
-1933  5 31    14.0    13.3    13.3 1
-1933  6  1    12.4    11.7    11.7 1
-1933  6  2     8.5     7.8     7.8 1
-1933  6  3    10.1     9.4     9.4 1
-1933  6  4    14.4    13.7    13.7 1
-1933  6  5    13.9    13.2    13.2 1
-1933  6  6    13.2    12.5    12.5 1
-1933  6  7    16.0    15.3    15.3 1
-1933  6  8    16.3    15.6    15.6 1
-1933  6  9    17.6    16.9    16.9 1
-1933  6 10    18.5    17.8    17.8 1
-1933  6 11    20.2    19.5    19.5 1
-1933  6 12    17.7    17.1    17.1 1
-1933  6 13    16.4    15.8    15.8 1
-1933  6 14    17.2    16.6    16.6 1
-1933  6 15    17.6    17.0    17.0 1
-1933  6 16    18.5    17.9    17.9 1
-1933  6 17    18.0    17.4    17.4 1
-1933  6 18    16.0    15.4    15.4 1
-1933  6 19    17.9    17.3    17.3 1
-1933  6 20    16.9    16.3    16.3 1
-1933  6 21    16.9    16.3    16.3 1
-1933  6 22    17.8    17.2    17.2 1
-1933  6 23    18.7    18.1    18.1 1
-1933  6 24    13.3    12.7    12.7 1
-1933  6 25    11.8    11.2    11.2 1
-1933  6 26    12.5    11.9    11.9 1
-1933  6 27    13.8    13.2    13.2 1
-1933  6 28    11.1    10.5    10.5 1
-1933  6 29    12.1    11.5    11.5 1
-1933  6 30    14.8    14.2    14.2 1
-1933  7  1    16.0    15.4    15.4 1
-1933  7  2    18.0    17.4    17.4 1
-1933  7  3    14.8    14.2    14.2 1
-1933  7  4    14.8    14.2    14.2 1
-1933  7  5    18.5    17.9    17.9 1
-1933  7  6    20.6    20.0    20.0 1
-1933  7  7    23.1    22.5    22.5 1
-1933  7  8    24.7    24.1    24.1 1
-1933  7  9    26.4    25.8    25.8 1
-1933  7 10    25.2    24.6    24.6 1
-1933  7 11    21.8    21.2    21.2 1
-1933  7 12    18.8    18.2    18.2 1
-1933  7 13    18.8    18.2    18.2 1
-1933  7 14    16.2    15.6    15.6 1
-1933  7 15    18.4    17.8    17.8 1
-1933  7 16    18.9    18.3    18.3 1
-1933  7 17    15.4    14.8    14.8 1
-1933  7 18    15.1    14.5    14.5 1
-1933  7 19    15.4    14.8    14.8 1
-1933  7 20    19.1    18.5    18.5 1
-1933  7 21    20.2    19.7    19.7 1
-1933  7 22    20.3    19.8    19.8 1
-1933  7 23    18.2    17.7    17.7 1
-1933  7 24    15.3    14.8    14.8 1
-1933  7 25    17.8    17.3    17.3 1
-1933  7 26    16.1    15.6    15.6 1
-1933  7 27    19.3    18.8    18.8 1
-1933  7 28    17.8    17.3    17.3 1
-1933  7 29    18.1    17.6    17.6 1
-1933  7 30    16.6    16.1    16.1 1
-1933  7 31    18.0    17.5    17.5 1
-1933  8  1    16.9    16.4    16.4 1
-1933  8  2    17.6    17.1    17.1 1
-1933  8  3    19.7    19.3    19.3 1
-1933  8  4    16.4    16.0    16.0 1
-1933  8  5    16.6    16.2    16.2 1
-1933  8  6    16.5    16.1    16.1 1
-1933  8  7    16.7    16.3    16.3 1
-1933  8  8    14.6    14.2    14.2 1
-1933  8  9    18.0    17.6    17.6 1
-1933  8 10    13.7    13.3    13.3 1
-1933  8 11    13.7    13.3    13.3 1
-1933  8 12    13.9    13.5    13.5 1
-1933  8 13    14.5    14.1    14.1 1
-1933  8 14    17.0    16.6    16.6 1
-1933  8 15    16.9    16.5    16.5 1
-1933  8 16    16.1    15.8    15.8 1
-1933  8 17    16.3    16.0    16.0 1
-1933  8 18    16.1    15.8    15.8 1
-1933  8 19    15.0    14.7    14.7 1
-1933  8 20    14.7    14.4    14.4 1
-1933  8 21    15.7    15.4    15.4 1
-1933  8 22    15.2    14.9    14.9 1
-1933  8 23    15.1    14.8    14.8 1
-1933  8 24    15.4    15.1    15.1 1
-1933  8 25    14.3    14.1    14.1 1
-1933  8 26    14.9    14.7    14.7 1
-1933  8 27    15.3    15.1    15.1 1
-1933  8 28    17.6    17.4    17.4 1
-1933  8 29    19.0    18.8    18.8 1
-1933  8 30    18.9    18.7    18.7 1
-1933  8 31    16.8    16.6    16.6 1
-1933  9  1    15.2    15.0    15.0 1
-1933  9  2    13.2    13.0    13.0 1
-1933  9  3    12.9    12.7    12.7 1
-1933  9  4    14.5    14.4    14.4 1
-1933  9  5    13.8    13.7    13.7 1
-1933  9  6    12.0    11.9    11.9 1
-1933  9  7    10.9    10.8    10.8 1
-1933  9  8    11.1    11.0    11.0 1
-1933  9  9    14.0    13.9    13.9 1
-1933  9 10    18.3    18.2    18.2 1
-1933  9 11    14.9    14.8    14.8 1
-1933  9 12    13.2    13.1    13.1 1
-1933  9 13    13.9    13.9    13.9 1
-1933  9 14     8.8     8.8     8.8 1
-1933  9 15     8.2     8.2     8.2 1
-1933  9 16     9.2     9.2     9.2 1
-1933  9 17     9.9     9.9     9.9 1
-1933  9 18     9.6     9.6     9.6 1
-1933  9 19     9.2     9.2     9.2 1
-1933  9 20    12.0    12.0    12.0 1
-1933  9 21    10.5    10.5    10.5 1
-1933  9 22    10.5    10.5    10.5 1
-1933  9 23    12.3    12.3    12.3 1
-1933  9 24    11.7    11.7    11.7 1
-1933  9 25    13.2    13.2    13.2 1
-1933  9 26    11.3    11.3    11.3 1
-1933  9 27    11.7    11.7    11.7 1
-1933  9 28    11.5    11.5    11.5 1
-1933  9 29    12.3    12.3    12.3 1
-1933  9 30    11.5    11.5    11.5 1
-1933 10  1    11.3    11.3    11.3 1
-1933 10  2     7.7     7.7     7.7 1
-1933 10  3     5.6     5.6     5.6 1
-1933 10  4     8.0     8.0     8.0 1
-1933 10  5     7.8     7.8     7.8 1
-1933 10  6     7.1     7.1     7.1 1
-1933 10  7    11.1    11.1    11.1 1
-1933 10  8     5.5     5.5     5.5 1
-1933 10  9     6.1     6.1     6.1 1
-1933 10 10    10.9    10.9    10.9 1
-1933 10 11    14.4    14.4    14.4 1
-1933 10 12     9.7     9.7     9.7 1
-1933 10 13     6.2     6.2     6.2 1
-1933 10 14     8.7     8.7     8.7 1
-1933 10 15    10.5    10.5    10.5 1
-1933 10 16     9.5     9.5     9.5 1
-1933 10 17     9.2     9.2     9.2 1
-1933 10 18     5.7     5.7     5.7 1
-1933 10 19     8.4     8.4     8.4 1
-1933 10 20     8.2     8.2     8.2 1
-1933 10 21     7.6     7.5     7.5 1
-1933 10 22     6.8     6.7     6.7 1
-1933 10 23     6.4     6.3     6.3 1
-1933 10 24     7.4     7.3     7.3 1
-1933 10 25     6.4     6.3     6.3 1
-1933 10 26     6.1     6.0     6.0 1
-1933 10 27     5.9     5.8     5.8 1
-1933 10 28     6.6     6.5     6.5 1
-1933 10 29     7.2     7.1     7.1 1
-1933 10 30     6.6     6.5     6.5 1
-1933 10 31     4.1     4.0     4.0 1
-1933 11  1     7.2     7.1     7.1 1
-1933 11  2     6.1     6.0     6.0 1
-1933 11  3     4.6     4.5     4.5 1
-1933 11  4     3.3     3.2     3.2 1
-1933 11  5     4.3     4.1     4.1 1
-1933 11  6     3.1     2.9     2.9 1
-1933 11  7     1.4     1.2     1.2 1
-1933 11  8     1.3     1.1     1.1 1
-1933 11  9     4.6     4.4     4.4 1
-1933 11 10     7.8     7.6     7.6 1
-1933 11 11     4.5     4.3     4.3 1
-1933 11 12     0.2     0.0     0.0 1
-1933 11 13     0.3     0.1     0.1 1
-1933 11 14     1.7     1.5     1.5 1
-1933 11 15     0.6     0.4     0.4 1
-1933 11 16    -1.8    -2.0    -2.0 1
-1933 11 17    -2.1    -2.3    -2.3 1
-1933 11 18    -1.8    -2.0    -2.0 1
-1933 11 19     0.0    -0.2    -0.2 1
-1933 11 20     1.1     0.9     0.9 1
-1933 11 21     1.6     1.4     1.4 1
-1933 11 22    -0.1    -0.3    -0.3 1
-1933 11 23    -1.3    -1.5    -1.5 1
-1933 11 24     0.3     0.1     0.1 1
-1933 11 25    -2.7    -2.9    -2.9 1
-1933 11 26    -5.2    -5.4    -5.4 1
-1933 11 27    -1.6    -1.8    -1.8 1
-1933 11 28     2.2     2.0     2.0 1
-1933 11 29     0.8     0.6     0.6 1
-1933 11 30    -1.4    -1.6    -1.6 1
-1933 12  1    -1.9    -2.1    -2.1 1
-1933 12  2    -3.1    -3.3    -3.3 1
-1933 12  3    -3.3    -3.5    -3.5 1
-1933 12  4    -0.6    -0.8    -0.8 1
-1933 12  5     1.5     1.3     1.3 1
-1933 12  6     0.4     0.2     0.2 1
-1933 12  7    -4.3    -4.5    -4.5 1
-1933 12  8    -2.5    -2.7    -2.7 1
-1933 12  9    -2.6    -2.9    -2.9 1
-1933 12 10    -1.4    -1.7    -1.7 1
-1933 12 11    -3.3    -3.6    -3.6 1
-1933 12 12    -8.8    -9.1    -9.1 1
-1933 12 13    -8.1    -8.4    -8.4 1
-1933 12 14    -2.0    -2.3    -2.3 1
-1933 12 15    -8.3    -8.6    -8.6 1
-1933 12 16    -6.0    -6.3    -6.3 1
-1933 12 17    -1.0    -1.3    -1.3 1
-1933 12 18    -2.5    -2.8    -2.8 1
-1933 12 19    -1.9    -2.2    -2.2 1
-1933 12 20    -2.6    -2.9    -2.9 1
-1933 12 21    -1.4    -1.7    -1.7 1
-1933 12 22     0.5     0.2     0.2 1
-1933 12 23     0.3     0.0     0.0 1
-1933 12 24     2.1     1.8     1.8 1
-1933 12 25    -0.3    -0.6    -0.6 1
-1933 12 26    -2.4    -2.8    -2.8 1
-1933 12 27    -6.0    -6.4    -6.4 1
-1933 12 28    -6.6    -7.0    -7.0 1
-1933 12 29    -4.3    -4.7    -4.7 1
-1933 12 30    -3.3    -3.7    -3.7 1
-1933 12 31    -3.8    -4.2    -4.2 1
-1934  1  1    -5.3    -5.7    -5.7 1
-1934  1  2    -1.3    -1.7    -1.7 1
-1934  1  3    -0.3    -0.7    -0.7 1
-1934  1  4    -0.3    -0.7    -0.7 1
-1934  1  5     0.7     0.3     0.3 1
-1934  1  6    -1.0    -1.5    -1.5 1
-1934  1  7     3.2     2.7     2.7 1
-1934  1  8     3.3     2.8     2.8 1
-1934  1  9     0.8     0.3     0.3 1
-1934  1 10    -1.7    -2.2    -2.2 1
-1934  1 11     0.9     0.4     0.4 1
-1934  1 12     1.0     0.5     0.5 1
-1934  1 13    -0.8    -1.3    -1.3 1
-1934  1 14     1.3     0.8     0.8 1
-1934  1 15    -0.2    -0.7    -0.7 1
-1934  1 16     1.8     1.3     1.3 1
-1934  1 17     2.0     1.5     1.5 1
-1934  1 18     3.1     2.6     2.6 1
-1934  1 19     3.3     2.8     2.8 1
-1934  1 20    -0.1    -0.6    -0.6 1
-1934  1 21    -0.1    -0.6    -0.6 1
-1934  1 22     0.5     0.0     0.0 1
-1934  1 23     0.3    -0.2    -0.2 1
-1934  1 24     4.1     3.6     3.6 1
-1934  1 25     1.6     1.1     1.1 1
-1934  1 26    -1.9    -2.4    -2.4 1
-1934  1 27     1.1     0.6     0.6 1
-1934  1 28     0.8     0.3     0.3 1
-1934  1 29     0.5     0.0     0.0 1
-1934  1 30     1.7     1.2     1.2 1
-1934  1 31    -4.7    -5.2    -5.2 1
-1934  2  1    -5.1    -5.6    -5.6 1
-1934  2  2    -1.6    -2.1    -2.1 1
-1934  2  3    -1.6    -2.1    -2.1 1
-1934  2  4     0.8     0.3     0.3 1
-1934  2  5     2.8     2.3     2.3 1
-1934  2  6     4.1     3.6     3.6 1
-1934  2  7    -1.0    -1.5    -1.5 1
-1934  2  8    -3.5    -4.0    -4.0 1
-1934  2  9    -5.2    -5.7    -5.7 1
-1934  2 10     4.0     3.5     3.5 1
-1934  2 11     0.5     0.0     0.0 1
-1934  2 12    -3.3    -3.8    -3.8 1
-1934  2 13     1.3     0.8     0.8 1
-1934  2 14     0.0    -0.5    -0.5 1
-1934  2 15     0.8     0.3     0.3 1
-1934  2 16     3.7     3.2     3.2 1
-1934  2 17     5.0     4.5     4.5 1
-1934  2 18     3.2     2.7     2.7 1
-1934  2 19     3.1     2.6     2.6 1
-1934  2 20    -2.9    -3.4    -3.4 1
-1934  2 21    -3.3    -3.8    -3.8 1
-1934  2 22     1.1     0.6     0.6 1
-1934  2 23     3.6     3.1     3.1 1
-1934  2 24     0.9     0.4     0.4 1
-1934  2 25     1.8     1.3     1.3 1
-1934  2 26     3.5     3.0     3.0 1
-1934  2 27     2.8     2.3     2.3 1
-1934  2 28     2.3     1.8     1.8 1
-1934  3  1     0.4    -0.1    -0.1 1
-1934  3  2    -1.0    -1.5    -1.5 1
-1934  3  3    -0.3    -0.8    -0.8 1
-1934  3  4     1.8     1.3     1.3 1
-1934  3  5     2.5     2.0     2.0 1
-1934  3  6     2.5     2.0     2.0 1
-1934  3  7     1.5     1.0     1.0 1
-1934  3  8     1.1     0.6     0.6 1
-1934  3  9    -1.6    -2.2    -2.2 1
-1934  3 10    -1.6    -2.2    -2.2 1
-1934  3 11    -2.4    -3.0    -3.0 1
-1934  3 12    -1.7    -2.3    -2.3 1
-1934  3 13    -1.5    -2.1    -2.1 1
-1934  3 14    -3.1    -3.7    -3.7 1
-1934  3 15    -0.9    -1.5    -1.5 1
-1934  3 16     3.1     2.5     2.5 1
-1934  3 17     1.6     1.0     1.0 1
-1934  3 18     0.8     0.2     0.2 1
-1934  3 19     3.0     2.4     2.4 1
-1934  3 20     3.7     3.2     3.2 1
-1934  3 21     1.9     1.4     1.4 1
-1934  3 22     1.0     0.5     0.5 1
-1934  3 23     1.1     0.6     0.6 1
-1934  3 24     2.4     1.9     1.9 1
-1934  3 25     2.8     2.3     2.3 1
-1934  3 26     0.9     0.4     0.4 1
-1934  3 27     0.4    -0.1    -0.1 1
-1934  3 28     0.8     0.3     0.3 1
-1934  3 29     0.8     0.3     0.3 1
-1934  3 30     0.7     0.2     0.2 1
-1934  3 31     0.8     0.3     0.3 1
-1934  4  1     1.9     1.4     1.4 1
-1934  4  2     2.9     2.4     2.4 1
-1934  4  3     1.8     1.3     1.3 1
-1934  4  4     4.0     3.5     3.5 1
-1934  4  5     3.0     2.5     2.5 1
-1934  4  6    -0.6    -1.1    -1.1 1
-1934  4  7     1.6     1.1     1.1 1
-1934  4  8     2.2     1.7     1.7 1
-1934  4  9     0.6     0.2     0.2 1
-1934  4 10    -0.9    -1.3    -1.3 1
-1934  4 11     0.1    -0.3    -0.3 1
-1934  4 12     2.2     1.8     1.8 1
-1934  4 13     3.7     3.3     3.3 1
-1934  4 14     4.2     3.8     3.8 1
-1934  4 15     4.6     4.2     4.2 1
-1934  4 16     8.6     8.2     8.2 1
-1934  4 17    11.0    10.6    10.6 1
-1934  4 18     9.5     9.0     9.0 1
-1934  4 19    10.2     9.7     9.7 1
-1934  4 20     7.3     6.8     6.8 1
-1934  4 21     7.7     7.2     7.2 1
-1934  4 22     9.0     8.5     8.5 1
-1934  4 23     6.0     5.5     5.5 1
-1934  4 24     7.1     6.6     6.6 1
-1934  4 25     8.8     8.2     8.2 1
-1934  4 26     9.8     9.2     9.2 1
-1934  4 27     8.0     7.4     7.4 1
-1934  4 28    11.9    11.3    11.3 1
-1934  4 29    12.4    11.8    11.8 1
-1934  4 30    12.5    11.9    11.9 1
-1934  5  1    13.8    13.2    13.2 1
-1934  5  2    15.0    14.3    14.3 1
-1934  5  3    13.7    13.0    13.0 1
-1934  5  4    12.1    11.4    11.4 1
-1934  5  5    16.1    15.4    15.4 1
-1934  5  6    17.5    16.8    16.8 1
-1934  5  7    18.2    17.5    17.5 1
-1934  5  8    17.6    16.9    16.9 1
-1934  5  9    19.5    18.8    18.8 1
-1934  5 10    15.7    14.9    14.9 1
-1934  5 11    12.2    11.4    11.4 1
-1934  5 12    16.2    15.4    15.4 1
-1934  5 13     6.4     5.6     5.6 1
-1934  5 14     8.5     7.7     7.7 1
-1934  5 15     6.6     5.8     5.8 1
-1934  5 16     9.0     8.2     8.2 1
-1934  5 17    12.3    11.5    11.5 1
-1934  5 18     9.2     8.4     8.4 1
-1934  5 19    12.3    11.5    11.5 1
-1934  5 20    13.0    12.2    12.2 1
-1934  5 21    10.9    10.1    10.1 1
-1934  5 22    10.4     9.6     9.6 1
-1934  5 23     7.4     6.6     6.6 1
-1934  5 24     7.3     6.5     6.5 1
-1934  5 25     8.5     7.7     7.7 1
-1934  5 26     9.2     8.4     8.4 1
-1934  5 27     8.1     7.3     7.3 1
-1934  5 28     9.6     8.9     8.9 1
-1934  5 29    10.1     9.4     9.4 1
-1934  5 30    13.8    13.1    13.1 1
-1934  5 31    11.8    11.1    11.1 1
-1934  6  1    12.5    11.8    11.8 1
-1934  6  2    13.3    12.6    12.6 1
-1934  6  3    10.4     9.7     9.7 1
-1934  6  4     6.8     6.1     6.1 1
-1934  6  5    11.2    10.5    10.5 1
-1934  6  6    12.8    12.1    12.1 1
-1934  6  7    17.9    17.2    17.2 1
-1934  6  8    19.5    18.8    18.8 1
-1934  6  9    16.0    15.3    15.3 1
-1934  6 10    15.8    15.1    15.1 1
-1934  6 11    13.0    12.3    12.3 1
-1934  6 12    17.8    17.1    17.1 1
-1934  6 13    13.6    12.9    12.9 1
-1934  6 14     9.0     8.4     8.4 1
-1934  6 15    11.0    10.4    10.4 1
-1934  6 16    15.4    14.8    14.8 1
-1934  6 17    15.8    15.2    15.2 1
-1934  6 18    17.8    17.2    17.2 1
-1934  6 19    16.2    15.6    15.6 1
-1934  6 20    15.4    14.8    14.8 1
-1934  6 21    15.2    14.6    14.6 1
-1934  6 22    14.4    13.8    13.8 1
-1934  6 23    12.6    12.0    12.0 1
-1934  6 24    13.6    13.0    13.0 1
-1934  6 25    18.3    17.7    17.7 1
-1934  6 26    19.1    18.5    18.5 1
-1934  6 27    16.7    16.1    16.1 1
-1934  6 28    19.0    18.4    18.4 1
-1934  6 29    22.0    21.4    21.4 1
-1934  6 30    19.9    19.3    19.3 1
-1934  7  1    15.4    14.8    14.8 1
-1934  7  2    16.8    16.2    16.2 1
-1934  7  3    13.8    13.2    13.2 1
-1934  7  4    11.8    11.2    11.2 1
-1934  7  5    12.3    11.7    11.7 1
-1934  7  6    13.5    12.9    12.9 1
-1934  7  7    11.5    10.9    10.9 1
-1934  7  8    14.3    13.7    13.7 1
-1934  7  9    16.8    16.2    16.2 1
-1934  7 10    15.4    14.8    14.8 1
-1934  7 11    13.3    12.7    12.7 1
-1934  7 12    14.9    14.3    14.3 1
-1934  7 13    15.2    14.6    14.6 1
-1934  7 14    15.8    15.2    15.2 1
-1934  7 15    18.9    18.3    18.3 1
-1934  7 16    21.5    20.9    20.9 1
-1934  7 17    23.4    22.8    22.8 1
-1934  7 18    21.6    21.0    21.0 1
-1934  7 19    17.5    16.9    16.9 1
-1934  7 20    16.6    16.0    16.0 1
-1934  7 21    15.9    15.3    15.3 1
-1934  7 22    17.1    16.5    16.5 1
-1934  7 23    18.0    17.5    17.5 1
-1934  7 24    17.2    16.7    16.7 1
-1934  7 25    19.6    19.1    19.1 1
-1934  7 26    19.6    19.1    19.1 1
-1934  7 27    16.8    16.3    16.3 1
-1934  7 28    17.0    16.5    16.5 1
-1934  7 29    16.6    16.1    16.1 1
-1934  7 30    15.7    15.2    15.2 1
-1934  7 31    20.1    19.6    19.6 1
-1934  8  1    18.7    18.2    18.2 1
-1934  8  2    20.2    19.7    19.7 1
-1934  8  3    19.4    18.9    18.9 1
-1934  8  4    19.3    18.8    18.8 1
-1934  8  5    16.8    16.4    16.4 1
-1934  8  6    18.4    18.0    18.0 1
-1934  8  7    18.9    18.5    18.5 1
-1934  8  8    20.9    20.5    20.5 1
-1934  8  9    20.2    19.8    19.8 1
-1934  8 10    20.0    19.6    19.6 1
-1934  8 11    17.2    16.8    16.8 1
-1934  8 12    16.5    16.1    16.1 1
-1934  8 13    17.2    16.8    16.8 1
-1934  8 14    16.2    15.8    15.8 1
-1934  8 15    16.2    15.8    15.8 1
-1934  8 16    17.1    16.7    16.7 1
-1934  8 17    13.4    13.1    13.1 1
-1934  8 18    16.6    16.3    16.3 1
-1934  8 19    15.3    15.0    15.0 1
-1934  8 20    15.7    15.4    15.4 1
-1934  8 21    15.7    15.4    15.4 1
-1934  8 22    16.3    16.0    16.0 1
-1934  8 23    18.0    17.7    17.7 1
-1934  8 24    15.4    15.1    15.1 1
-1934  8 25    15.7    15.4    15.4 1
-1934  8 26    15.8    15.6    15.6 1
-1934  8 27    15.0    14.8    14.8 1
-1934  8 28    16.5    16.3    16.3 1
-1934  8 29    16.3    16.1    16.1 1
-1934  8 30    17.0    16.8    16.8 1
-1934  8 31    14.5    14.3    14.3 1
-1934  9  1    16.2    16.0    16.0 1
-1934  9  2    15.4    15.2    15.2 1
-1934  9  3    15.2    15.0    15.0 1
-1934  9  4    15.8    15.6    15.6 1
-1934  9  5    16.7    16.6    16.6 1
-1934  9  6    17.3    17.2    17.2 1
-1934  9  7    16.1    16.0    16.0 1
-1934  9  8    14.7    14.6    14.6 1
-1934  9  9    16.9    16.8    16.8 1
-1934  9 10    18.1    18.0    18.0 1
-1934  9 11    16.1    16.0    16.0 1
-1934  9 12    15.7    15.6    15.6 1
-1934  9 13    15.4    15.3    15.3 1
-1934  9 14    14.6    14.6    14.6 1
-1934  9 15    16.3    16.3    16.3 1
-1934  9 16    14.9    14.9    14.9 1
-1934  9 17    15.3    15.3    15.3 1
-1934  9 18    15.8    15.8    15.8 1
-1934  9 19    17.7    17.7    17.7 1
-1934  9 20    18.1    18.1    18.1 1
-1934  9 21    14.6    14.6    14.6 1
-1934  9 22    12.1    12.1    12.1 1
-1934  9 23    11.9    11.9    11.9 1
-1934  9 24    11.5    11.5    11.5 1
-1934  9 25    11.4    11.4    11.4 1
-1934  9 26    11.2    11.2    11.2 1
-1934  9 27    13.5    13.5    13.5 1
-1934  9 28    12.0    12.0    12.0 1
-1934  9 29    12.4    12.4    12.4 1
-1934  9 30    13.1    13.1    13.1 1
-1934 10  1    13.6    13.6    13.6 1
-1934 10  2    13.2    13.2    13.2 1
-1934 10  3    11.0    11.0    11.0 1
-1934 10  4    12.0    12.0    12.0 1
-1934 10  5    14.0    14.0    14.0 1
-1934 10  6    10.9    10.9    10.9 1
-1934 10  7    11.4    11.4    11.4 1
-1934 10  8    12.8    12.8    12.8 1
-1934 10  9     9.6     9.6     9.6 1
-1934 10 10     9.5     9.5     9.5 1
-1934 10 11    10.1    10.1    10.1 1
-1934 10 12     7.9     7.9     7.9 1
-1934 10 13     6.4     6.4     6.4 1
-1934 10 14     5.3     5.3     5.3 1
-1934 10 15     5.0     5.0     5.0 1
-1934 10 16     3.5     3.5     3.5 1
-1934 10 17     2.6     2.6     2.6 1
-1934 10 18     3.9     3.9     3.9 1
-1934 10 19     7.4     7.3     7.3 1
-1934 10 20     7.4     7.3     7.3 1
-1934 10 21    11.6    11.5    11.5 1
-1934 10 22    12.4    12.3    12.3 1
-1934 10 23    10.2    10.1    10.1 1
-1934 10 24     8.1     8.0     8.0 1
-1934 10 25     5.7     5.6     5.6 1
-1934 10 26     8.0     7.9     7.9 1
-1934 10 27     8.8     8.7     8.7 1
-1934 10 28     6.0     5.9     5.9 1
-1934 10 29     6.1     6.0     6.0 1
-1934 10 30     4.4     4.3     4.3 1
-1934 10 31     4.6     4.5     4.5 1
-1934 11  1     2.0     1.9     1.9 1
-1934 11  2     2.4     2.3     2.3 1
-1934 11  3     1.8     1.7     1.7 1
-1934 11  4     2.0     1.8     1.8 1
-1934 11  5     4.5     4.3     4.3 1
-1934 11  6     6.9     6.7     6.7 1
-1934 11  7     8.2     8.0     8.0 1
-1934 11  8     8.1     7.9     7.9 1
-1934 11  9     5.9     5.7     5.7 1
-1934 11 10     4.0     3.8     3.8 1
-1934 11 11     2.9     2.7     2.7 1
-1934 11 12     6.3     6.1     6.1 1
-1934 11 13     7.2     7.0     7.0 1
-1934 11 14     6.2     6.0     6.0 1
-1934 11 15     3.6     3.4     3.4 1
-1934 11 16     1.9     1.7     1.7 1
-1934 11 17     2.9     2.7     2.7 1
-1934 11 18     0.1    -0.1    -0.1 1
-1934 11 19    -1.2    -1.4    -1.4 1
-1934 11 20     0.8     0.6     0.6 1
-1934 11 21     4.9     4.7     4.7 1
-1934 11 22     5.4     5.2     5.2 1
-1934 11 23     0.7     0.5     0.5 1
-1934 11 24    -0.8    -1.0    -1.0 1
-1934 11 25     0.9     0.7     0.7 1
-1934 11 26     4.9     4.7     4.7 1
-1934 11 27     7.3     7.1     7.1 1
-1934 11 28     6.8     6.6     6.6 1
-1934 11 29     0.9     0.7     0.7 1
-1934 11 30     0.4     0.2     0.2 1
-1934 12  1     0.7     0.5     0.5 1
-1934 12  2     4.1     3.9     3.9 1
-1934 12  3     4.7     4.4     4.4 1
-1934 12  4     3.5     3.2     3.2 1
-1934 12  5     4.4     4.1     4.1 1
-1934 12  6     4.0     3.7     3.7 1
-1934 12  7     5.2     4.9     4.9 1
-1934 12  8     4.8     4.5     4.5 1
-1934 12  9     5.4     5.1     5.1 1
-1934 12 10     5.6     5.3     5.3 1
-1934 12 11     4.7     4.4     4.4 1
-1934 12 12     4.4     4.1     4.1 1
-1934 12 13     3.1     2.8     2.8 1
-1934 12 14     5.1     4.8     4.8 1
-1934 12 15     4.6     4.3     4.3 1
-1934 12 16     5.2     4.9     4.9 1
-1934 12 17     5.1     4.8     4.8 1
-1934 12 18     5.8     5.5     5.5 1
-1934 12 19     5.0     4.7     4.7 1
-1934 12 20     4.9     4.6     4.6 1
-1934 12 21     4.7     4.4     4.4 1
-1934 12 22     2.7     2.4     2.4 1
-1934 12 23     0.2    -0.1    -0.1 1
-1934 12 24    -1.4    -1.7    -1.7 1
-1934 12 25    -2.8    -3.2    -3.2 1
-1934 12 26    -4.8    -5.2    -5.2 1
-1934 12 27    -2.2    -2.6    -2.6 1
-1934 12 28    -0.7    -1.1    -1.1 1
-1934 12 29     0.0    -0.4    -0.4 1
-1934 12 30     0.9     0.5     0.5 1
-1934 12 31     2.7     2.3     2.3 1
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-1935  1  2    -0.6    -1.0    -1.0 1
-1935  1  3    -2.8    -3.2    -3.2 1
-1935  1  4     0.8     0.4     0.4 1
-1935  1  5    -0.8    -1.3    -1.3 1
-1935  1  6    -3.0    -3.5    -3.5 1
-1935  1  7    -3.8    -4.3    -4.3 1
-1935  1  8    -3.6    -4.1    -4.1 1
-1935  1  9    -4.5    -5.0    -5.0 1
-1935  1 10    -4.0    -4.5    -4.5 1
-1935  1 11    -0.2    -0.7    -0.7 1
-1935  1 12    -1.1    -1.6    -1.6 1
-1935  1 13    -0.2    -0.7    -0.7 1
-1935  1 14    -1.3    -1.8    -1.8 1
-1935  1 15    -4.4    -4.9    -4.9 1
-1935  1 16    -2.4    -2.9    -2.9 1
-1935  1 17    -1.8    -2.3    -2.3 1
-1935  1 18    -0.3    -0.8    -0.8 1
-1935  1 19    -1.4    -1.9    -1.9 1
-1935  1 20    -0.4    -0.9    -0.9 1
-1935  1 21    -0.3    -0.8    -0.8 1
-1935  1 22     1.5     1.0     1.0 1
-1935  1 23     2.1     1.6     1.6 1
-1935  1 24     0.0    -0.5    -0.5 1
-1935  1 25     0.7     0.2     0.2 1
-1935  1 26    -4.7    -5.2    -5.2 1
-1935  1 27    -5.5    -6.0    -6.0 1
-1935  1 28    -7.9    -8.4    -8.4 1
-1935  1 29    -5.5    -6.0    -6.0 1
-1935  1 30    -2.3    -2.8    -2.8 1
-1935  1 31    -7.4    -7.9    -7.9 1
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-1935  2  3    -1.3    -1.8    -1.8 1
-1935  2  4    -3.4    -3.9    -3.9 1
-1935  2  5    -6.1    -6.6    -6.6 1
-1935  2  6    -7.3    -7.8    -7.8 1
-1935  2  7    -4.2    -4.7    -4.7 1
-1935  2  8    -4.2    -4.7    -4.7 1
-1935  2  9    -3.4    -3.9    -3.9 1
-1935  2 10    -3.8    -4.3    -4.3 1
-1935  2 11    -3.7    -4.2    -4.2 1
-1935  2 12    -0.4    -0.9    -0.9 1
-1935  2 13     1.0     0.5     0.5 1
-1935  2 14     1.5     1.0     1.0 1
-1935  2 15    -1.2    -1.7    -1.7 1
-1935  2 16    -2.1    -2.6    -2.6 1
-1935  2 17    -2.6    -3.1    -3.1 1
-1935  2 18    -0.9    -1.4    -1.4 1
-1935  2 19     5.0     4.5     4.5 1
-1935  2 20     2.1     1.6     1.6 1
-1935  2 21     5.2     4.7     4.7 1
-1935  2 22     4.8     4.3     4.3 1
-1935  2 23     4.0     3.5     3.5 1
-1935  2 24     1.1     0.6     0.6 1
-1935  2 25     1.5     1.0     1.0 1
-1935  2 26     2.9     2.4     2.4 1
-1935  2 27     0.4    -0.1    -0.1 1
-1935  2 28    -0.8    -1.3    -1.3 1
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-1935  3  2    -5.2    -5.7    -5.7 1
-1935  3  3    -4.6    -5.1    -5.1 1
-1935  3  4    -4.6    -5.1    -5.1 1
-1935  3  5    -4.3    -4.8    -4.8 1
-1935  3  6    -2.8    -3.4    -3.4 1
-1935  3  7    -2.7    -3.3    -3.3 1
-1935  3  8    -1.2    -1.8    -1.8 1
-1935  3  9     2.6     2.0     2.0 1
-1935  3 10     2.0     1.4     1.4 1
-1935  3 11     2.8     2.2     2.2 1
-1935  3 12     3.3     2.7     2.7 1
-1935  3 13     2.4     1.8     1.8 1
-1935  3 14     2.5     1.9     1.9 1
-1935  3 15     2.4     1.8     1.8 1
-1935  3 16     1.8     1.2     1.2 1
-1935  3 17     0.4    -0.2    -0.2 1
-1935  3 18     0.1    -0.5    -0.5 1
-1935  3 19    -1.3    -1.9    -1.9 1
-1935  3 20     0.9     0.3     0.3 1
-1935  3 21    -0.3    -0.9    -0.9 1
-1935  3 22     3.1     2.6     2.6 1
-1935  3 23     4.8     4.3     4.3 1
-1935  3 24    -0.6    -1.1    -1.1 1
-1935  3 25     2.5     2.0     2.0 1
-1935  3 26     3.5     3.0     3.0 1
-1935  3 27    -0.8    -1.3    -1.3 1
-1935  3 28     0.1    -0.4    -0.4 1
-1935  3 29    -1.5    -2.0    -2.0 1
-1935  3 30     0.2    -0.3    -0.3 1
-1935  3 31    -0.3    -0.8    -0.8 1
-1935  4  1     1.0     0.5     0.5 1
-1935  4  2     1.4     0.9     0.9 1
-1935  4  3     1.8     1.3     1.3 1
-1935  4  4     2.4     1.9     1.9 1
-1935  4  5     2.8     2.3     2.3 1
-1935  4  6     1.3     0.8     0.8 1
-1935  4  7     1.4     0.9     0.9 1
-1935  4  8     2.4     1.9     1.9 1
-1935  4  9     3.6     3.1     3.1 1
-1935  4 10     4.5     4.0     4.0 1
-1935  4 11     8.4     7.9     7.9 1
-1935  4 12     7.0     6.6     6.6 1
-1935  4 13     4.1     3.7     3.7 1
-1935  4 14     1.8     1.4     1.4 1
-1935  4 15     4.0     3.6     3.6 1
-1935  4 16     5.3     4.9     4.9 1
-1935  4 17     5.9     5.4     5.4 1
-1935  4 18     5.8     5.3     5.3 1
-1935  4 19     7.2     6.7     6.7 1
-1935  4 20     7.8     7.3     7.3 1
-1935  4 21     9.7     9.2     9.2 1
-1935  4 22     8.8     8.3     8.3 1
-1935  4 23     9.2     8.7     8.7 1
-1935  4 24     8.3     7.7     7.7 1
-1935  4 25    10.0     9.4     9.4 1
-1935  4 26    10.5     9.9     9.9 1
-1935  4 27     7.4     6.8     6.8 1
-1935  4 28     2.3     1.7     1.7 1
-1935  4 29    -0.1    -0.7    -0.7 1
-1935  4 30    -1.1    -1.7    -1.7 1
-1935  5  1     2.0     1.3     1.3 1
-1935  5  2     5.8     5.1     5.1 1
-1935  5  3     6.2     5.5     5.5 1
-1935  5  4    11.3    10.6    10.6 1
-1935  5  5    12.9    12.2    12.2 1
-1935  5  6    14.6    13.9    13.9 1
-1935  5  7     5.4     4.7     4.7 1
-1935  5  8     4.5     3.8     3.8 1
-1935  5  9    12.5    11.7    11.7 1
-1935  5 10     9.2     8.4     8.4 1
-1935  5 11     5.8     5.0     5.0 1
-1935  5 12     3.3     2.5     2.5 1
-1935  5 13     2.0     1.2     1.2 1
-1935  5 14     3.3     2.5     2.5 1
-1935  5 15     6.1     5.3     5.3 1
-1935  5 16     6.7     5.9     5.9 1
-1935  5 17     7.0     6.2     6.2 1
-1935  5 18     5.0     4.2     4.2 1
-1935  5 19     7.4     6.6     6.6 1
-1935  5 20     7.4     6.6     6.6 1
-1935  5 21     7.9     7.1     7.1 1
-1935  5 22     8.3     7.5     7.5 1
-1935  5 23    13.0    12.2    12.2 1
-1935  5 24    14.1    13.3    13.3 1
-1935  5 25    13.4    12.6    12.6 1
-1935  5 26    11.5    10.7    10.7 1
-1935  5 27    12.0    11.2    11.2 1
-1935  5 28    13.0    12.2    12.2 1
-1935  5 29     8.4     7.6     7.6 1
-1935  5 30     2.4     1.6     1.6 1
-1935  5 31     5.5     4.8     4.8 1
-1935  6  1     7.3     6.6     6.6 1
-1935  6  2     9.3     8.6     8.6 1
-1935  6  3    11.6    10.9    10.9 1
-1935  6  4    11.6    10.9    10.9 1
-1935  6  5    11.3    10.6    10.6 1
-1935  6  6    12.6    11.9    11.9 1
-1935  6  7    15.2    14.5    14.5 1
-1935  6  8    15.1    14.4    14.4 1
-1935  6  9    12.7    12.0    12.0 1
-1935  6 10    13.3    12.6    12.6 1
-1935  6 11    13.5    12.8    12.8 1
-1935  6 12    12.5    11.8    11.8 1
-1935  6 13    15.1    14.4    14.4 1
-1935  6 14    16.4    15.7    15.7 1
-1935  6 15    13.9    13.2    13.2 1
-1935  6 16    14.2    13.5    13.5 1
-1935  6 17    14.7    14.0    14.0 1
-1935  6 18    15.1    14.4    14.4 1
-1935  6 19    16.0    15.4    15.4 1
-1935  6 20    16.2    15.6    15.6 1
-1935  6 21    19.5    18.9    18.9 1
-1935  6 22    22.6    22.0    22.0 1
-1935  6 23    24.1    23.5    23.5 1
-1935  6 24    24.2    23.6    23.6 1
-1935  6 25    24.2    23.6    23.6 1
-1935  6 26    22.7    22.1    22.1 1
-1935  6 27    22.3    21.7    21.7 1
-1935  6 28    19.3    18.7    18.7 1
-1935  6 29    19.5    18.9    18.9 1
-1935  6 30    17.9    17.3    17.3 1
-1935  7  1    20.3    19.7    19.7 1
-1935  7  2    22.1    21.5    21.5 1
-1935  7  3    19.5    18.9    18.9 1
-1935  7  4    16.4    15.8    15.8 1
-1935  7  5    13.7    13.1    13.1 1
-1935  7  6    14.0    13.4    13.4 1
-1935  7  7    15.1    14.5    14.5 1
-1935  7  8    15.2    14.6    14.6 1
-1935  7  9    17.8    17.2    17.2 1
-1935  7 10    17.0    16.4    16.4 1
-1935  7 11    18.3    17.7    17.7 1
-1935  7 12    19.0    18.4    18.4 1
-1935  7 13    20.6    20.0    20.0 1
-1935  7 14    20.7    20.1    20.1 1
-1935  7 15    18.9    18.3    18.3 1
-1935  7 16    18.6    18.0    18.0 1
-1935  7 17    18.5    17.9    17.9 1
-1935  7 18    16.9    16.3    16.3 1
-1935  7 19    16.4    15.8    15.8 1
-1935  7 20    16.5    15.9    15.9 1
-1935  7 21    16.6    16.0    16.0 1
-1935  7 22    18.1    17.5    17.5 1
-1935  7 23    21.6    21.0    21.0 1
-1935  7 24    21.5    21.0    21.0 1
-1935  7 25    15.7    15.2    15.2 1
-1935  7 26    18.7    18.2    18.2 1
-1935  7 27    17.3    16.8    16.8 1
-1935  7 28    14.5    14.0    14.0 1
-1935  7 29    14.0    13.5    13.5 1
-1935  7 30    13.9    13.4    13.4 1
-1935  7 31    15.8    15.3    15.3 1
-1935  8  1    16.9    16.4    16.4 1
-1935  8  2    17.5    17.0    17.0 1
-1935  8  3    18.6    18.1    18.1 1
-1935  8  4    16.5    16.0    16.0 1
-1935  8  5    16.0    15.5    15.5 1
-1935  8  6    16.5    16.1    16.1 1
-1935  8  7    20.2    19.8    19.8 1
-1935  8  8    23.1    22.7    22.7 1
-1935  8  9    20.5    20.1    20.1 1
-1935  8 10    20.0    19.6    19.6 1
-1935  8 11    19.0    18.6    18.6 1
-1935  8 12    19.2    18.8    18.8 1
-1935  8 13    15.8    15.4    15.4 1
-1935  8 14    15.5    15.1    15.1 1
-1935  8 15    15.1    14.7    14.7 1
-1935  8 16    14.3    13.9    13.9 1
-1935  8 17    14.8    14.4    14.4 1
-1935  8 18    11.9    11.6    11.6 1
-1935  8 19    11.4    11.1    11.1 1
-1935  8 20    14.3    14.0    14.0 1
-1935  8 21    14.1    13.8    13.8 1
-1935  8 22    13.5    13.2    13.2 1
-1935  8 23    12.0    11.7    11.7 1
-1935  8 24    10.0     9.7     9.7 1
-1935  8 25    13.2    12.9    12.9 1
-1935  8 26    12.9    12.6    12.6 1
-1935  8 27    13.6    13.3    13.3 1
-1935  8 28    14.6    14.4    14.4 1
-1935  8 29    14.9    14.7    14.7 1
-1935  8 30    14.4    14.2    14.2 1
-1935  8 31    13.8    13.6    13.6 1
-1935  9  1    15.3    15.1    15.1 1
-1935  9  2    15.0    14.8    14.8 1
-1935  9  3    15.5    15.3    15.3 1
-1935  9  4    14.8    14.6    14.6 1
-1935  9  5    14.6    14.4    14.4 1
-1935  9  6    13.1    13.0    13.0 1
-1935  9  7    11.5    11.4    11.4 1
-1935  9  8    10.3    10.2    10.2 1
-1935  9  9     8.6     8.5     8.5 1
-1935  9 10     9.6     9.5     9.5 1
-1935  9 11     9.0     8.9     8.9 1
-1935  9 12     9.0     8.9     8.9 1
-1935  9 13    13.0    12.9    12.9 1
-1935  9 14    14.0    13.9    13.9 1
-1935  9 15    13.5    13.5    13.5 1
-1935  9 16    13.4    13.4    13.4 1
-1935  9 17    12.7    12.7    12.7 1
-1935  9 18    14.0    14.0    14.0 1
-1935  9 19    13.1    13.1    13.1 1
-1935  9 20    12.5    12.5    12.5 1
-1935  9 21    11.7    11.7    11.7 1
-1935  9 22    10.4    10.4    10.4 1
-1935  9 23    11.2    11.2    11.2 1
-1935  9 24     9.9     9.9     9.9 1
-1935  9 25     8.2     8.2     8.2 1
-1935  9 26     6.5     6.5     6.5 1
-1935  9 27     4.4     4.4     4.4 1
-1935  9 28     5.1     5.1     5.1 1
-1935  9 29    10.7    10.7    10.7 1
-1935  9 30    10.2    10.2    10.2 1
-1935 10  1     9.4     9.4     9.4 1
-1935 10  2     9.5     9.5     9.5 1
-1935 10  3     9.1     9.1     9.1 1
-1935 10  4    10.5    10.5    10.5 1
-1935 10  5    12.2    12.2    12.2 1
-1935 10  6    12.0    12.0    12.0 1
-1935 10  7     9.8     9.8     9.8 1
-1935 10  8    10.2    10.2    10.2 1
-1935 10  9    10.7    10.7    10.7 1
-1935 10 10    11.4    11.4    11.4 1
-1935 10 11     8.8     8.8     8.8 1
-1935 10 12     8.8     8.8     8.8 1
-1935 10 13    10.5    10.5    10.5 1
-1935 10 14    10.3    10.3    10.3 1
-1935 10 15    11.4    11.4    11.4 1
-1935 10 16    11.2    11.2    11.2 1
-1935 10 17     9.5     9.5     9.5 1
-1935 10 18     6.6     6.5     6.5 1
-1935 10 19     7.1     7.0     7.0 1
-1935 10 20     6.5     6.4     6.4 1
-1935 10 21     3.8     3.7     3.7 1
-1935 10 22     3.0     2.9     2.9 1
-1935 10 23     2.1     2.0     2.0 1
-1935 10 24     2.5     2.4     2.4 1
-1935 10 25     3.0     2.9     2.9 1
-1935 10 26     1.1     1.0     1.0 1
-1935 10 27     2.7     2.6     2.6 1
-1935 10 28     3.3     3.2     3.2 1
-1935 10 29     2.7     2.6     2.6 1
-1935 10 30     4.3     4.2     4.2 1
-1935 10 31     7.8     7.7     7.7 1
-1935 11  1     9.9     9.8     9.8 1
-1935 11  2     8.8     8.7     8.7 1
-1935 11  3     7.1     6.9     6.9 1
-1935 11  4     5.1     4.9     4.9 1
-1935 11  5     4.9     4.7     4.7 1
-1935 11  6     4.9     4.7     4.7 1
-1935 11  7     5.4     5.2     5.2 1
-1935 11  8     6.4     6.2     6.2 1
-1935 11  9     7.2     7.0     7.0 1
-1935 11 10     7.2     7.0     7.0 1
-1935 11 11     4.6     4.4     4.4 1
-1935 11 12     7.0     6.8     6.8 1
-1935 11 13     6.8     6.6     6.6 1
-1935 11 14     6.9     6.7     6.7 1
-1935 11 15     5.7     5.5     5.5 1
-1935 11 16     6.1     5.9     5.9 1
-1935 11 17     5.6     5.4     5.4 1
-1935 11 18     5.2     5.0     5.0 1
-1935 11 19     4.4     4.2     4.2 1
-1935 11 20     3.5     3.3     3.3 1
-1935 11 21     1.5     1.3     1.3 1
-1935 11 22     1.8     1.6     1.6 1
-1935 11 23     2.1     1.9     1.9 1
-1935 11 24     0.8     0.6     0.6 1
-1935 11 25     0.6     0.4     0.4 1
-1935 11 26     1.0     0.8     0.8 1
-1935 11 27     2.8     2.5     2.5 1
-1935 11 28     1.2     0.9     0.9 1
-1935 11 29     3.9     3.6     3.6 1
-1935 11 30     4.5     4.2     4.2 1
-1935 12  1     5.3     5.0     5.0 1
-1935 12  2     2.9     2.6     2.6 1
-1935 12  3     1.8     1.5     1.5 1
-1935 12  4     1.5     1.2     1.2 1
-1935 12  5     1.1     0.8     0.8 1
-1935 12  6     1.5     1.2     1.2 1
-1935 12  7    -1.7    -2.0    -2.0 1
-1935 12  8    -2.1    -2.4    -2.4 1
-1935 12  9    -2.2    -2.5    -2.5 1
-1935 12 10    -3.7    -4.0    -4.0 1
-1935 12 11    -2.6    -2.9    -2.9 1
-1935 12 12    -4.0    -4.3    -4.3 1
-1935 12 13    -3.8    -4.1    -4.1 1
-1935 12 14    -2.4    -2.7    -2.7 1
-1935 12 15    -0.3    -0.6    -0.6 1
-1935 12 16     1.5     1.2     1.2 1
-1935 12 17     1.4     1.1     1.1 1
-1935 12 18     1.2     0.9     0.9 1
-1935 12 19     2.0     1.7     1.7 1
-1935 12 20     0.3     0.0     0.0 1
-1935 12 21     2.5     2.2     2.2 1
-1935 12 22    -0.1    -0.4    -0.4 1
-1935 12 23    -0.4    -0.7    -0.7 1
-1935 12 24    -3.1    -3.5    -3.5 1
-1935 12 25    -1.9    -2.3    -2.3 1
-1935 12 26     1.7     1.3     1.3 1
-1935 12 27     3.5     3.1     3.1 1
-1935 12 28     3.8     3.4     3.4 1
-1935 12 29     4.5     4.1     4.1 1
-1935 12 30     4.1     3.7     3.7 1
-1935 12 31     4.7     4.3     4.3 1
-1936  1  1     5.2     4.8     4.8 1
-1936  1  2     4.4     4.0     4.0 1
-1936  1  3     4.2     3.8     3.8 1
-1936  1  4     0.1    -0.4    -0.4 1
-1936  1  5    -6.0    -6.5    -6.5 1
-1936  1  6    -7.1    -7.6    -7.6 1
-1936  1  7     0.3    -0.2    -0.2 1
-1936  1  8    -2.5    -3.0    -3.0 1
-1936  1  9     0.4    -0.1    -0.1 1
-1936  1 10     4.3     3.8     3.8 1
-1936  1 11     3.9     3.4     3.4 1
-1936  1 12    -0.4    -0.9    -0.9 1
-1936  1 13    -2.0    -2.5    -2.5 1
-1936  1 14    -6.6    -7.1    -7.1 1
-1936  1 15    -7.5    -8.0    -8.0 1
-1936  1 16    -7.2    -7.7    -7.7 1
-1936  1 17    -0.7    -1.2    -1.2 1
-1936  1 18    -0.5    -1.0    -1.0 1
-1936  1 19    -1.6    -2.1    -2.1 1
-1936  1 20    -1.5    -2.0    -2.0 1
-1936  1 21     1.9     1.4     1.4 1
-1936  1 22     1.8     1.3     1.3 1
-1936  1 23     0.9     0.4     0.4 1
-1936  1 24    -1.4    -1.9    -1.9 1
-1936  1 25    -3.4    -3.9    -3.9 1
-1936  1 26    -5.2    -5.7    -5.7 1
-1936  1 27     0.1    -0.4    -0.4 1
-1936  1 28    -2.2    -2.7    -2.7 1
-1936  1 29    -3.5    -4.0    -4.0 1
-1936  1 30    -2.2    -2.7    -2.7 1
-1936  1 31     1.0     0.5     0.5 1
-1936  2  1     0.6     0.1     0.1 1
-1936  2  2    -1.7    -2.2    -2.2 1
-1936  2  3    -1.9    -2.4    -2.4 1
-1936  2  4    -2.5    -3.0    -3.0 1
-1936  2  5    -3.9    -4.4    -4.4 1
-1936  2  6    -7.0    -7.5    -7.5 1
-1936  2  7    -4.1    -4.6    -4.6 1
-1936  2  8     1.1     0.6     0.6 1
-1936  2  9    -7.6    -8.1    -8.1 1
-1936  2 10    -8.3    -8.8    -8.8 1
-1936  2 11    -1.4    -1.9    -1.9 1
-1936  2 12    -3.5    -4.0    -4.0 1
-1936  2 13    -8.0    -8.5    -8.5 1
-1936  2 14   -10.2   -10.7   -10.7 1
-1936  2 15    -8.5    -9.0    -9.0 1
-1936  2 16    -5.1    -5.6    -5.6 1
-1936  2 17    -3.6    -4.1    -4.1 1
-1936  2 18    -3.4    -3.9    -3.9 1
-1936  2 19    -3.8    -4.3    -4.3 1
-1936  2 20    -6.5    -7.0    -7.0 1
-1936  2 21    -9.2    -9.7    -9.7 1
-1936  2 22    -7.9    -8.4    -8.4 1
-1936  2 23    -4.5    -5.0    -5.0 1
-1936  2 24    -4.7    -5.2    -5.2 1
-1936  2 25    -5.9    -6.4    -6.4 1
-1936  2 26    -4.3    -4.8    -4.8 1
-1936  2 27    -4.1    -4.6    -4.6 1
-1936  2 28    -3.5    -4.0    -4.0 1
-1936  2 29    -0.5    -1.0    -1.0 1
-1936  3  1     1.8     1.3     1.3 1
-1936  3  2    -0.3    -0.8    -0.8 1
-1936  3  3     0.0    -0.6    -0.6 1
-1936  3  4    -0.2    -0.8    -0.8 1
-1936  3  5     0.0    -0.6    -0.6 1
-1936  3  6     0.6     0.0     0.0 1
-1936  3  7     1.6     1.0     1.0 1
-1936  3  8     0.1    -0.5    -0.5 1
-1936  3  9     0.9     0.3     0.3 1
-1936  3 10     0.4    -0.2    -0.2 1
-1936  3 11    -0.7    -1.3    -1.3 1
-1936  3 12     0.3    -0.3    -0.3 1
-1936  3 13    -0.3    -0.9    -0.9 1
-1936  3 14    -0.6    -1.2    -1.2 1
-1936  3 15    -1.0    -1.6    -1.6 1
-1936  3 16    -1.1    -1.7    -1.7 1
-1936  3 17    -0.7    -1.3    -1.3 1
-1936  3 18     3.5     2.9     2.9 1
-1936  3 19     1.2     0.6     0.6 1
-1936  3 20     0.9     0.3     0.3 1
-1936  3 21     2.3     1.7     1.7 1
-1936  3 22     4.0     3.4     3.4 1
-1936  3 23     1.1     0.5     0.5 1
-1936  3 24    -1.5    -2.1    -2.1 1
-1936  3 25    -0.4    -0.9    -0.9 1
-1936  3 26     2.1     1.6     1.6 1
-1936  3 27     2.1     1.6     1.6 1
-1936  3 28     1.3     0.8     0.8 1
-1936  3 29     2.6     2.1     2.1 1
-1936  3 30     2.4     1.9     1.9 1
-1936  3 31     4.2     3.7     3.7 1
-1936  4  1     5.3     4.8     4.8 1
-1936  4  2     2.6     2.1     2.1 1
-1936  4  3    -0.2    -0.7    -0.7 1
-1936  4  4    -1.7    -2.2    -2.2 1
-1936  4  5    -1.9    -2.4    -2.4 1
-1936  4  6     1.8     1.3     1.3 1
-1936  4  7     1.0     0.5     0.5 1
-1936  4  8     1.6     1.1     1.1 1
-1936  4  9     3.8     3.3     3.3 1
-1936  4 10     2.3     1.8     1.8 1
-1936  4 11     1.4     0.9     0.9 1
-1936  4 12     2.3     1.8     1.8 1
-1936  4 13     4.1     3.6     3.6 1
-1936  4 14     2.1     1.7     1.7 1
-1936  4 15    -0.5    -0.9    -0.9 1
-1936  4 16     0.8     0.3     0.3 1
-1936  4 17     3.5     3.0     3.0 1
-1936  4 18     5.0     4.5     4.5 1
-1936  4 19     4.8     4.3     4.3 1
-1936  4 20     4.4     3.9     3.9 1
-1936  4 21     3.9     3.4     3.4 1
-1936  4 22     3.3     2.8     2.8 1
-1936  4 23     5.6     5.0     5.0 1
-1936  4 24     5.3     4.7     4.7 1
-1936  4 25     6.0     5.4     5.4 1
-1936  4 26     6.4     5.8     5.8 1
-1936  4 27     9.4     8.8     8.8 1
-1936  4 28    10.6    10.0    10.0 1
-1936  4 29    11.2    10.6    10.6 1
-1936  4 30     7.1     6.4     6.4 1
-1936  5  1     5.7     5.0     5.0 1
-1936  5  2     6.1     5.4     5.4 1
-1936  5  3     8.0     7.3     7.3 1
-1936  5  4     6.8     6.1     6.1 1
-1936  5  5     7.1     6.4     6.4 1
-1936  5  6     8.5     7.8     7.8 1
-1936  5  7    10.2     9.4     9.4 1
-1936  5  8    10.5     9.7     9.7 1
-1936  5  9    11.1    10.3    10.3 1
-1936  5 10    13.0    12.2    12.2 1
-1936  5 11    12.6    11.8    11.8 1
-1936  5 12    12.0    11.2    11.2 1
-1936  5 13    11.0    10.2    10.2 1
-1936  5 14    12.2    11.4    11.4 1
-1936  5 15     7.8     6.9     6.9 1
-1936  5 16     7.6     6.7     6.7 1
-1936  5 17    11.2    10.4    10.4 1
-1936  5 18    13.3    12.5    12.5 1
-1936  5 19    14.6    13.8    13.8 1
-1936  5 20    14.5    13.7    13.7 1
-1936  5 21     6.9     6.1     6.1 1
-1936  5 22     9.6     8.8     8.8 1
-1936  5 23     7.6     6.8     6.8 1
-1936  5 24     9.7     8.9     8.9 1
-1936  5 25    13.2    12.4    12.4 1
-1936  5 26    15.1    14.3    14.3 1
-1936  5 27    12.4    11.6    11.6 1
-1936  5 28     6.9     6.1     6.1 1
-1936  5 29     9.1     8.3     8.3 1
-1936  5 30     7.9     7.1     7.1 1
-1936  5 31    11.7    10.9    10.9 1
-1936  6  1    11.7    10.9    10.9 1
-1936  6  2     8.6     7.9     7.9 1
-1936  6  3    13.7    13.0    13.0 1
-1936  6  4    13.9    13.2    13.2 1
-1936  6  5    14.8    14.1    14.1 1
-1936  6  6    16.6    15.9    15.9 1
-1936  6  7    17.5    16.8    16.8 1
-1936  6  8    17.8    17.1    17.1 1
-1936  6  9    15.0    14.3    14.3 1
-1936  6 10    17.1    16.4    16.4 1
-1936  6 11    20.2    19.5    19.5 1
-1936  6 12    19.4    18.7    18.7 1
-1936  6 13    19.6    18.9    18.9 1
-1936  6 14    20.0    19.3    19.3 1
-1936  6 15    20.4    19.7    19.7 1
-1936  6 16    17.1    16.4    16.4 1
-1936  6 17    18.2    17.5    17.5 1
-1936  6 18    20.9    20.2    20.2 1
-1936  6 19    21.6    20.9    20.9 1
-1936  6 20    18.8    18.1    18.1 1
-1936  6 21    20.4    19.7    19.7 1
-1936  6 22    23.0    22.3    22.3 1
-1936  6 23    23.8    23.1    23.1 1
-1936  6 24    23.0    22.3    22.3 1
-1936  6 25    16.5    15.8    15.8 1
-1936  6 26    22.0    21.3    21.3 1
-1936  6 27    17.6    16.9    16.9 1
-1936  6 28    16.6    15.9    15.9 1
-1936  6 29    18.9    18.2    18.2 1
-1936  6 30    18.3    17.7    17.7 1
-1936  7  1    20.3    19.7    19.7 1
-1936  7  2    23.2    22.6    22.6 1
-1936  7  3    22.5    21.9    21.9 1
-1936  7  4    22.0    21.4    21.4 1
-1936  7  5    18.7    18.1    18.1 1
-1936  7  6    19.0    18.4    18.4 1
-1936  7  7    19.3    18.7    18.7 1
-1936  7  8    21.5    20.9    20.9 1
-1936  7  9    19.3    18.7    18.7 1
-1936  7 10    20.8    20.2    20.2 1
-1936  7 11    20.0    19.4    19.4 1
-1936  7 12    18.3    17.7    17.7 1
-1936  7 13    17.2    16.6    16.6 1
-1936  7 14    18.4    17.8    17.8 1
-1936  7 15    18.8    18.2    18.2 1
-1936  7 16    15.9    15.3    15.3 1
-1936  7 17    18.1    17.5    17.5 1
-1936  7 18    19.1    18.5    18.5 1
-1936  7 19    18.8    18.2    18.2 1
-1936  7 20    18.5    17.9    17.9 1
-1936  7 21    17.8    17.2    17.2 1
-1936  7 22    19.3    18.7    18.7 1
-1936  7 23    20.6    20.0    20.0 1
-1936  7 24    20.9    20.3    20.3 1
-1936  7 25    19.9    19.3    19.3 1
-1936  7 26    18.3    17.8    17.8 1
-1936  7 27    17.3    16.8    16.8 1
-1936  7 28    17.6    17.1    17.1 1
-1936  7 29    15.2    14.7    14.7 1
-1936  7 30    16.4    15.9    15.9 1
-1936  7 31    16.8    16.3    16.3 1
-1936  8  1    17.6    17.1    17.1 1
-1936  8  2    15.9    15.4    15.4 1
-1936  8  3    16.5    16.0    16.0 1
-1936  8  4    16.0    15.5    15.5 1
-1936  8  5    16.3    15.8    15.8 1
-1936  8  6    16.3    15.8    15.8 1
-1936  8  7    16.3    15.8    15.8 1
-1936  8  8    16.1    15.7    15.7 1
-1936  8  9    17.9    17.5    17.5 1
-1936  8 10    17.9    17.5    17.5 1
-1936  8 11    18.7    18.3    18.3 1
-1936  8 12    19.4    19.0    19.0 1
-1936  8 13    18.9    18.5    18.5 1
-1936  8 14    20.0    19.6    19.6 1
-1936  8 15    19.3    18.9    18.9 1
-1936  8 16    17.7    17.3    17.3 1
-1936  8 17    18.0    17.6    17.6 1
-1936  8 18    17.6    17.2    17.2 1
-1936  8 19    17.8    17.5    17.5 1
-1936  8 20    16.7    16.4    16.4 1
-1936  8 21    15.9    15.6    15.6 1
-1936  8 22    15.1    14.8    14.8 1
-1936  8 23    13.9    13.6    13.6 1
-1936  8 24    15.1    14.8    14.8 1
-1936  8 25    14.0    13.7    13.7 1
-1936  8 26    13.8    13.5    13.5 1
-1936  8 27    14.0    13.7    13.7 1
-1936  8 28    17.6    17.3    17.3 1
-1936  8 29    15.7    15.5    15.5 1
-1936  8 30    14.7    14.5    14.5 1
-1936  8 31    11.8    11.6    11.6 1
-1936  9  1     9.3     9.1     9.1 1
-1936  9  2    12.3    12.1    12.1 1
-1936  9  3    11.7    11.5    11.5 1
-1936  9  4    11.7    11.5    11.5 1
-1936  9  5    11.6    11.4    11.4 1
-1936  9  6    13.4    13.2    13.2 1
-1936  9  7    13.3    13.2    13.2 1
-1936  9  8    10.3    10.2    10.2 1
-1936  9  9     9.4     9.3     9.3 1
-1936  9 10    10.5    10.4    10.4 1
-1936  9 11    13.9    13.8    13.8 1
-1936  9 12    14.6    14.5    14.5 1
-1936  9 13    14.2    14.1    14.1 1
-1936  9 14    14.3    14.2    14.2 1
-1936  9 15    14.2    14.1    14.1 1
-1936  9 16    12.9    12.8    12.8 1
-1936  9 17    13.9    13.8    13.8 1
-1936  9 18    12.9    12.8    12.8 1
-1936  9 19    13.2    13.1    13.1 1
-1936  9 20    13.3    13.3    13.3 1
-1936  9 21    14.3    14.3    14.3 1
-1936  9 22    15.1    15.1    15.1 1
-1936  9 23    11.9    11.9    11.9 1
-1936  9 24     7.8     7.8     7.8 1
-1936  9 25     6.7     6.7     6.7 1
-1936  9 26     4.2     4.2     4.2 1
-1936  9 27     3.6     3.6     3.6 1
-1936  9 28     4.6     4.6     4.6 1
-1936  9 29     6.5     6.5     6.5 1
-1936  9 30     4.3     4.3     4.3 1
-1936 10  1     4.7     4.7     4.7 1
-1936 10  2     3.4     3.4     3.4 1
-1936 10  3     5.2     5.2     5.2 1
-1936 10  4     3.5     3.5     3.5 1
-1936 10  5     3.9     3.9     3.9 1
-1936 10  6     3.6     3.6     3.6 1
-1936 10  7     3.2     3.2     3.2 1
-1936 10  8     5.4     5.4     5.4 1
-1936 10  9     3.9     3.9     3.9 1
-1936 10 10     3.9     3.9     3.9 1
-1936 10 11     4.8     4.8     4.8 1
-1936 10 12     5.8     5.8     5.8 1
-1936 10 13     4.3     4.3     4.3 1
-1936 10 14     3.3     3.3     3.3 1
-1936 10 15     3.9     3.9     3.9 1
-1936 10 16     5.6     5.6     5.6 1
-1936 10 17     4.6     4.5     4.5 1
-1936 10 18     4.9     4.8     4.8 1
-1936 10 19     0.5     0.4     0.4 1
-1936 10 20     0.2     0.1     0.1 1
-1936 10 21     2.9     2.8     2.8 1
-1936 10 22     3.7     3.6     3.6 1
-1936 10 23     6.0     5.9     5.9 1
-1936 10 24     8.8     8.7     8.7 1
-1936 10 25     9.1     9.0     9.0 1
-1936 10 26     6.6     6.5     6.5 1
-1936 10 27     7.0     6.9     6.9 1
-1936 10 28     5.9     5.8     5.8 1
-1936 10 29     3.7     3.6     3.6 1
-1936 10 30     5.1     5.0     5.0 1
-1936 10 31     6.1     6.0     6.0 1
-1936 11  1     1.8     1.7     1.7 1
-1936 11  2     2.2     2.0     2.0 1
-1936 11  3     3.8     3.6     3.6 1
-1936 11  4     5.6     5.4     5.4 1
-1936 11  5     6.7     6.5     6.5 1
-1936 11  6     7.7     7.5     7.5 1
-1936 11  7     7.7     7.5     7.5 1
-1936 11  8     8.0     7.8     7.8 1
-1936 11  9     6.5     6.3     6.3 1
-1936 11 10     7.3     7.1     7.1 1
-1936 11 11     6.3     6.1     6.1 1
-1936 11 12     5.3     5.1     5.1 1
-1936 11 13     5.3     5.1     5.1 1
-1936 11 14     1.9     1.7     1.7 1
-1936 11 15     0.2     0.0     0.0 1
-1936 11 16     4.6     4.4     4.4 1
-1936 11 17     4.1     3.9     3.9 1
-1936 11 18     2.4     2.2     2.2 1
-1936 11 19     1.3     1.1     1.1 1
-1936 11 20     0.7     0.5     0.5 1
-1936 11 21     6.2     6.0     6.0 1
-1936 11 22     2.7     2.4     2.4 1
-1936 11 23     2.7     2.4     2.4 1
-1936 11 24     2.5     2.2     2.2 1
-1936 11 25     0.8     0.5     0.5 1
-1936 11 26     1.9     1.6     1.6 1
-1936 11 27     1.2     0.9     0.9 1
-1936 11 28     1.5     1.2     1.2 1
-1936 11 29     1.8     1.5     1.5 1
-1936 11 30     2.7     2.4     2.4 1
-1936 12  1     2.3     2.0     2.0 1
-1936 12  2     0.4     0.1     0.1 1
-1936 12  3     0.4     0.1     0.1 1
-1936 12  4     3.1     2.8     2.8 1
-1936 12  5     2.0     1.7     1.7 1
-1936 12  6     3.0     2.7     2.7 1
-1936 12  7     0.5     0.2     0.2 1
-1936 12  8    -0.5    -0.8    -0.8 1
-1936 12  9     1.9     1.6     1.6 1
-1936 12 10     3.5     3.2     3.2 1
-1936 12 11     1.9     1.6     1.6 1
-1936 12 12     2.8     2.5     2.5 1
-1936 12 13     2.3     2.0     2.0 1
-1936 12 14     3.5     3.2     3.2 1
-1936 12 15     4.1     3.8     3.8 1
-1936 12 16     3.1     2.8     2.8 1
-1936 12 17     3.6     3.3     3.3 1
-1936 12 18     6.8     6.5     6.5 1
-1936 12 19     5.6     5.3     5.3 1
-1936 12 20     6.7     6.4     6.4 1
-1936 12 21     8.4     8.1     8.1 1
-1936 12 22     7.7     7.4     7.4 1
-1936 12 23     1.1     0.7     0.7 1
-1936 12 24     5.0     4.6     4.6 1
-1936 12 25     3.1     2.7     2.7 1
-1936 12 26    -0.9    -1.3    -1.3 1
-1936 12 27     1.7     1.3     1.3 1
-1936 12 28     0.6     0.2     0.2 1
-1936 12 29     0.6     0.2     0.2 1
-1936 12 30     3.8     3.4     3.4 1
-1936 12 31     5.9     5.5     5.5 1
-1937  1  1     5.1     4.7     4.7 1
-1937  1  2     3.4     3.0     3.0 1
-1937  1  3     3.6     3.1     3.1 1
-1937  1  4     3.8     3.3     3.3 1
-1937  1  5     4.5     4.0     4.0 1
-1937  1  6     2.8     2.3     2.3 1
-1937  1  7     0.1    -0.4    -0.4 1
-1937  1  8    -4.0    -4.5    -4.5 1
-1937  1  9    -1.3    -1.8    -1.8 1
-1937  1 10     2.2     1.7     1.7 1
-1937  1 11     1.5     1.0     1.0 1
-1937  1 12     0.7     0.2     0.2 1
-1937  1 13    -1.1    -1.6    -1.6 1
-1937  1 14     1.1     0.6     0.6 1
-1937  1 15     1.4     0.8     0.8 1
-1937  1 16    -1.3    -1.8    -1.8 1
-1937  1 17    -0.8    -1.3    -1.3 1
-1937  1 18    -1.0    -1.5    -1.5 1
-1937  1 19    -2.4    -2.9    -2.9 1
-1937  1 20    -4.5    -5.0    -5.0 1
-1937  1 21    -5.2    -5.7    -5.7 1
-1937  1 22    -3.4    -3.9    -3.9 1
-1937  1 23    -1.5    -2.0    -2.0 1
-1937  1 24    -2.8    -3.3    -3.3 1
-1937  1 25    -4.0    -4.5    -4.5 1
-1937  1 26    -4.8    -5.3    -5.3 1
-1937  1 27    -6.2    -6.7    -6.7 1
-1937  1 28    -5.0    -5.5    -5.5 1
-1937  1 29    -5.6    -6.1    -6.1 1
-1937  1 30    -7.5    -8.0    -8.0 1
-1937  1 31    -5.9    -6.4    -6.4 1
-1937  2  1    -4.7    -5.2    -5.2 1
-1937  2  2    -0.6    -1.1    -1.1 1
-1937  2  3    -2.3    -2.8    -2.8 1
-1937  2  4    -1.3    -1.8    -1.8 1
-1937  2  5     1.6     1.1     1.1 1
-1937  2  6     1.3     0.8     0.8 1
-1937  2  7    -5.4    -5.9    -5.9 1
-1937  2  8    -8.5    -9.0    -9.0 1
-1937  2  9    -7.9    -8.4    -8.4 1
-1937  2 10    -1.9    -2.4    -2.4 1
-1937  2 11     0.1    -0.4    -0.4 1
-1937  2 12    -2.2    -2.7    -2.7 1
-1937  2 13    -5.0    -5.5    -5.5 1
-1937  2 14    -7.0    -7.5    -7.5 1
-1937  2 15    -2.3    -2.8    -2.8 1
-1937  2 16    -1.3    -1.8    -1.8 1
-1937  2 17     0.5     0.0     0.0 1
-1937  2 18    -5.0    -5.5    -5.5 1
-1937  2 19    -1.5    -2.0    -2.0 1
-1937  2 20    -1.8    -2.3    -2.3 1
-1937  2 21    -2.5    -3.0    -3.0 1
-1937  2 22    -1.9    -2.4    -2.4 1
-1937  2 23    -2.4    -2.9    -2.9 1
-1937  2 24    -3.8    -4.3    -4.3 1
-1937  2 25    -5.2    -5.7    -5.7 1
-1937  2 26   -10.1   -10.6   -10.6 1
-1937  2 27    -3.3    -3.8    -3.8 1
-1937  2 28     1.6     1.0     1.0 1
-1937  3  1     1.1     0.5     0.5 1
-1937  3  2     0.7     0.1     0.1 1
-1937  3  3     0.4    -0.2    -0.2 1
-1937  3  4    -1.0    -1.6    -1.6 1
-1937  3  5    -2.8    -3.4    -3.4 1
-1937  3  6    -4.5    -5.1    -5.1 1
-1937  3  7    -6.4    -7.0    -7.0 1
-1937  3  8    -6.9    -7.5    -7.5 1
-1937  3  9    -7.4    -8.0    -8.0 1
-1937  3 10   -10.2   -10.8   -10.8 1
-1937  3 11    -9.0    -9.6    -9.6 1
-1937  3 12    -7.7    -8.3    -8.3 1
-1937  3 13    -2.2    -2.8    -2.8 1
-1937  3 14    -1.8    -2.4    -2.4 1
-1937  3 15     0.7     0.1     0.1 1
-1937  3 16     0.8     0.2     0.2 1
-1937  3 17     1.4     0.8     0.8 1
-1937  3 18     1.4     0.8     0.8 1
-1937  3 19     0.5    -0.1    -0.1 1
-1937  3 20     0.8     0.2     0.2 1
-1937  3 21     0.3    -0.3    -0.3 1
-1937  3 22     0.1    -0.5    -0.5 1
-1937  3 23    -0.2    -0.8    -0.8 1
-1937  3 24     0.1    -0.5    -0.5 1
-1937  3 25     0.8     0.2     0.2 1
-1937  3 26     0.1    -0.5    -0.5 1
-1937  3 27    -1.1    -1.6    -1.6 1
-1937  3 28    -0.3    -0.8    -0.8 1
-1937  3 29     0.0    -0.5    -0.5 1
-1937  3 30    -0.4    -0.9    -0.9 1
-1937  3 31     0.6     0.1     0.1 1
-1937  4  1     0.8     0.3     0.3 1
-1937  4  2     1.3     0.8     0.8 1
-1937  4  3     2.9     2.4     2.4 1
-1937  4  4     2.5     2.0     2.0 1
-1937  4  5     2.5     2.0     2.0 1
-1937  4  6     3.4     2.9     2.9 1
-1937  4  7     4.5     4.0     4.0 1
-1937  4  8     5.3     4.8     4.8 1
-1937  4  9     5.6     5.1     5.1 1
-1937  4 10     4.3     3.8     3.8 1
-1937  4 11     4.8     4.3     4.3 1
-1937  4 12     5.2     4.7     4.7 1
-1937  4 13     5.5     5.0     5.0 1
-1937  4 14     6.8     6.3     6.3 1
-1937  4 15     6.4     5.9     5.9 1
-1937  4 16     6.6     6.1     6.1 1
-1937  4 17     6.6     6.1     6.1 1
-1937  4 18     4.7     4.2     4.2 1
-1937  4 19     6.8     6.3     6.3 1
-1937  4 20     5.4     4.9     4.9 1
-1937  4 21     7.5     7.0     7.0 1
-1937  4 22     8.3     7.7     7.7 1
-1937  4 23     5.0     4.4     4.4 1
-1937  4 24     7.7     7.1     7.1 1
-1937  4 25     4.6     4.0     4.0 1
-1937  4 26     5.8     5.2     5.2 1
-1937  4 27     5.6     5.0     5.0 1
-1937  4 28     4.3     3.7     3.7 1
-1937  4 29     7.5     6.8     6.8 1
-1937  4 30    12.2    11.5    11.5 1
-1937  5  1    13.8    13.1    13.1 1
-1937  5  2    11.7    11.0    11.0 1
-1937  5  3    14.7    14.0    14.0 1
-1937  5  4    15.8    15.1    15.1 1
-1937  5  5    16.4    15.7    15.7 1
-1937  5  6    15.4    14.6    14.6 1
-1937  5  7     9.3     8.5     8.5 1
-1937  5  8     7.6     6.8     6.8 1
-1937  5  9     7.2     6.4     6.4 1
-1937  5 10     8.7     7.9     7.9 1
-1937  5 11     7.8     7.0     7.0 1
-1937  5 12     7.7     6.9     6.9 1
-1937  5 13    10.2     9.3     9.3 1
-1937  5 14    11.8    10.9    10.9 1
-1937  5 15    11.8    10.9    10.9 1
-1937  5 16    13.2    12.3    12.3 1
-1937  5 17    11.5    10.6    10.6 1
-1937  5 18    13.8    12.9    12.9 1
-1937  5 19    14.4    13.5    13.5 1
-1937  5 20    15.0    14.2    14.2 1
-1937  5 21    13.4    12.6    12.6 1
-1937  5 22    16.2    15.4    15.4 1
-1937  5 23    15.3    14.5    14.5 1
-1937  5 24    16.1    15.3    15.3 1
-1937  5 25    18.1    17.3    17.3 1
-1937  5 26    20.2    19.4    19.4 1
-1937  5 27    17.8    17.0    17.0 1
-1937  5 28    10.4     9.6     9.6 1
-1937  5 29     8.6     7.8     7.8 1
-1937  5 30    14.4    13.6    13.6 1
-1937  5 31    13.6    12.8    12.8 1
-1937  6  1    13.0    12.2    12.2 1
-1937  6  2    11.6    10.8    10.8 1
-1937  6  3     8.7     7.9     7.9 1
-1937  6  4    10.8    10.0    10.0 1
-1937  6  5    10.8    10.1    10.1 1
-1937  6  6    11.5    10.8    10.8 1
-1937  6  7    17.9    17.2    17.2 1
-1937  6  8    18.6    17.9    17.9 1
-1937  6  9    20.7    20.0    20.0 1
-1937  6 10    20.1    19.4    19.4 1
-1937  6 11    21.6    20.9    20.9 1
-1937  6 12    14.2    13.5    13.5 1
-1937  6 13    15.0    14.3    14.3 1
-1937  6 14    18.3    17.6    17.6 1
-1937  6 15    17.1    16.4    16.4 1
-1937  6 16    16.3    15.6    15.6 1
-1937  6 17    14.7    14.0    14.0 1
-1937  6 18    15.2    14.5    14.5 1
-1937  6 19    16.3    15.6    15.6 1
-1937  6 20    16.3    15.6    15.6 1
-1937  6 21    18.8    18.1    18.1 1
-1937  6 22    16.1    15.4    15.4 1
-1937  6 23    16.9    16.2    16.2 1
-1937  6 24    17.2    16.5    16.5 1
-1937  6 25    14.3    13.6    13.6 1
-1937  6 26    18.9    18.2    18.2 1
-1937  6 27    20.3    19.6    19.6 1
-1937  6 28    18.8    18.1    18.1 1
-1937  6 29    18.9    18.2    18.2 1
-1937  6 30    14.9    14.2    14.2 1
-1937  7  1    14.9    14.2    14.2 1
-1937  7  2    16.0    15.3    15.3 1
-1937  7  3    20.6    19.9    19.9 1
-1937  7  4    22.7    22.0    22.0 1
-1937  7  5    22.3    21.6    21.6 1
-1937  7  6    20.9    20.2    20.2 1
-1937  7  7    21.3    20.6    20.6 1
-1937  7  8    19.9    19.2    19.2 1
-1937  7  9    21.3    20.6    20.6 1
-1937  7 10    17.9    17.3    17.3 1
-1937  7 11    18.0    17.4    17.4 1
-1937  7 12    18.6    18.0    18.0 1
-1937  7 13    19.3    18.7    18.7 1
-1937  7 14    19.5    18.9    18.9 1
-1937  7 15    18.5    17.9    17.9 1
-1937  7 16    18.8    18.2    18.2 1
-1937  7 17    18.7    18.1    18.1 1
-1937  7 18    15.6    15.0    15.0 1
-1937  7 19    19.3    18.7    18.7 1
-1937  7 20    20.7    20.1    20.1 1
-1937  7 21    21.8    21.2    21.2 1
-1937  7 22    20.7    20.1    20.1 1
-1937  7 23    17.8    17.2    17.2 1
-1937  7 24    18.2    17.6    17.6 1
-1937  7 25    18.2    17.6    17.6 1
-1937  7 26    17.7    17.1    17.1 1
-1937  7 27    16.8    16.2    16.2 1
-1937  7 28    18.1    17.6    17.6 1
-1937  7 29    18.0    17.5    17.5 1
-1937  7 30    18.5    18.0    18.0 1
-1937  7 31    17.5    17.0    17.0 1
-1937  8  1    17.2    16.7    16.7 1
-1937  8  2    17.2    16.7    16.7 1
-1937  8  3    18.4    17.9    17.9 1
-1937  8  4    19.1    18.6    18.6 1
-1937  8  5    17.8    17.3    17.3 1
-1937  8  6    19.6    19.1    19.1 1
-1937  8  7    19.7    19.2    19.2 1
-1937  8  8    20.8    20.3    20.3 1
-1937  8  9    20.3    19.8    19.8 1
-1937  8 10    19.9    19.5    19.5 1
-1937  8 11    18.4    18.0    18.0 1
-1937  8 12    17.7    17.3    17.3 1
-1937  8 13    16.1    15.7    15.7 1
-1937  8 14    18.0    17.6    17.6 1
-1937  8 15    17.9    17.5    17.5 1
-1937  8 16    18.5    18.1    18.1 1
-1937  8 17    19.2    18.8    18.8 1
-1937  8 18    19.7    19.3    19.3 1
-1937  8 19    19.7    19.3    19.3 1
-1937  8 20    19.6    19.2    19.2 1
-1937  8 21    19.2    18.9    18.9 1
-1937  8 22    18.7    18.4    18.4 1
-1937  8 23    20.2    19.9    19.9 1
-1937  8 24    20.4    20.1    20.1 1
-1937  8 25    20.9    20.6    20.6 1
-1937  8 26    19.9    19.6    19.6 1
-1937  8 27    18.2    17.9    17.9 1
-1937  8 28    16.5    16.2    16.2 1
-1937  8 29    17.3    17.0    17.0 1
-1937  8 30    17.8    17.6    17.6 1
-1937  8 31    14.8    14.6    14.6 1
-1937  9  1    14.5    14.3    14.3 1
-1937  9  2    16.3    16.1    16.1 1
-1937  9  3    16.2    16.0    16.0 1
-1937  9  4    15.4    15.2    15.2 1
-1937  9  5    14.9    14.7    14.7 1
-1937  9  6    14.5    14.3    14.3 1
-1937  9  7    16.2    16.1    16.1 1
-1937  9  8    13.7    13.6    13.6 1
-1937  9  9    12.6    12.5    12.5 1
-1937  9 10    12.0    11.9    11.9 1
-1937  9 11    11.5    11.4    11.4 1
-1937  9 12    10.7    10.6    10.6 1
-1937  9 13    11.2    11.1    11.1 1
-1937  9 14     9.3     9.2     9.2 1
-1937  9 15    10.7    10.6    10.6 1
-1937  9 16    12.7    12.6    12.6 1
-1937  9 17    14.5    14.4    14.4 1
-1937  9 18    13.4    13.3    13.3 1
-1937  9 19    14.4    14.3    14.3 1
-1937  9 20    13.3    13.2    13.2 1
-1937  9 21    12.1    12.0    12.0 1
-1937  9 22    11.1    11.0    11.0 1
-1937  9 23    12.6    12.5    12.5 1
-1937  9 24    12.4    12.3    12.3 1
-1937  9 25    12.1    12.0    12.0 1
-1937  9 26    10.2    10.1    10.1 1
-1937  9 27    10.5    10.4    10.4 1
-1937  9 28    12.0    11.9    11.9 1
-1937  9 29    10.6    10.5    10.5 1
-1937  9 30    10.2    10.1    10.1 1
-1937 10  1    10.7    10.6    10.6 1
-1937 10  2    11.2    11.1    11.1 1
-1937 10  3     8.9     8.8     8.8 1
-1937 10  4     9.6     9.5     9.5 1
-1937 10  5     9.3     9.3     9.3 1
-1937 10  6     9.5     9.5     9.5 1
-1937 10  7     8.2     8.2     8.2 1
-1937 10  8     8.3     8.3     8.3 1
-1937 10  9     8.0     8.0     8.0 1
-1937 10 10     5.1     5.1     5.1 1
-1937 10 11     5.0     5.0     5.0 1
-1937 10 12     6.2     6.2     6.2 1
-1937 10 13     4.5     4.5     4.5 1
-1937 10 14     6.0     6.0     6.0 1
-1937 10 15     7.8     7.8     7.8 1
-1937 10 16    11.3    11.2    11.2 1
-1937 10 17     8.3     8.2     8.2 1
-1937 10 18    12.6    12.5    12.5 1
-1937 10 19     9.3     9.2     9.2 1
-1937 10 20     9.0     8.9     8.9 1
-1937 10 21     8.7     8.6     8.6 1
-1937 10 22     7.7     7.6     7.6 1
-1937 10 23    10.4    10.3    10.3 1
-1937 10 24     9.7     9.6     9.6 1
-1937 10 25    10.6    10.5    10.5 1
-1937 10 26     9.5     9.4     9.4 1
-1937 10 27    10.7    10.6    10.6 1
-1937 10 28     9.8     9.7     9.7 1
-1937 10 29    10.2    10.1    10.1 1
-1937 10 30     9.4     9.3     9.3 1
-1937 10 31     9.4     9.3     9.3 1
-1937 11  1     8.0     7.8     7.8 1
-1937 11  2     6.5     6.3     6.3 1
-1937 11  3     6.4     6.2     6.2 1
-1937 11  4     7.0     6.8     6.8 1
-1937 11  5     7.1     6.9     6.9 1
-1937 11  6     7.5     7.3     7.3 1
-1937 11  7     6.8     6.6     6.6 1
-1937 11  8     6.8     6.6     6.6 1
-1937 11  9     6.5     6.3     6.3 1
-1937 11 10     6.4     6.2     6.2 1
-1937 11 11     6.0     5.8     5.8 1
-1937 11 12     3.5     3.3     3.3 1
-1937 11 13    -1.4    -1.6    -1.6 1
-1937 11 14    -1.8    -2.0    -2.0 1
-1937 11 15    -3.5    -3.7    -3.7 1
-1937 11 16    -0.5    -0.7    -0.7 1
-1937 11 17     0.3     0.0     0.0 1
-1937 11 18     0.1    -0.2    -0.2 1
-1937 11 19     1.0     0.7     0.7 1
-1937 11 20     4.9     4.6     4.6 1
-1937 11 21     4.9     4.6     4.6 1
-1937 11 22     1.0     0.7     0.7 1
-1937 11 23     2.5     2.2     2.2 1
-1937 11 24     1.1     0.8     0.8 1
-1937 11 25     1.1     0.8     0.8 1
-1937 11 26     2.0     1.7     1.7 1
-1937 11 27     0.2    -0.1    -0.1 1
-1937 11 28    -1.2    -1.5    -1.5 1
-1937 11 29    -1.1    -1.4    -1.4 1
-1937 11 30    -1.2    -1.5    -1.5 1
-1937 12  1    -0.6    -0.9    -0.9 1
-1937 12  2    -2.3    -2.6    -2.6 1
-1937 12  3    -4.1    -4.4    -4.4 1
-1937 12  4    -7.6    -7.9    -7.9 1
-1937 12  5    -7.2    -7.5    -7.5 1
-1937 12  6    -6.0    -6.3    -6.3 1
-1937 12  7    -5.7    -6.0    -6.0 1
-1937 12  8    -7.9    -8.2    -8.2 1
-1937 12  9    -7.1    -7.4    -7.4 1
-1937 12 10    -4.7    -5.0    -5.0 1
-1937 12 11    -7.0    -7.3    -7.3 1
-1937 12 12    -3.2    -3.5    -3.5 1
-1937 12 13     1.5     1.2     1.2 1
-1937 12 14    -0.8    -1.1    -1.1 1
-1937 12 15     0.6     0.3     0.3 1
-1937 12 16    -0.5    -0.8    -0.8 1
-1937 12 17    -2.2    -2.5    -2.5 1
-1937 12 18    -3.1    -3.4    -3.4 1
-1937 12 19    -3.7    -4.0    -4.0 1
-1937 12 20    -9.9   -10.2   -10.2 1
-1937 12 21    -9.4    -9.7    -9.7 1
-1937 12 22    -6.9    -7.3    -7.3 1
-1937 12 23    -4.0    -4.4    -4.4 1
-1937 12 24     0.1    -0.3    -0.3 1
-1937 12 25     0.1    -0.3    -0.3 1
-1937 12 26    -1.7    -2.1    -2.1 1
-1937 12 27    -0.3    -0.7    -0.7 1
-1937 12 28    -1.5    -1.9    -1.9 1
-1937 12 29    -2.8    -3.2    -3.2 1
-1937 12 30    -3.0    -3.4    -3.4 1
-1937 12 31    -0.1    -0.5    -0.5 1
-1938  1  1    -1.5    -1.9    -1.9 1
-1938  1  2    -3.4    -3.9    -3.9 1
-1938  1  3    -4.1    -4.6    -4.6 1
-1938  1  4    -3.4    -3.9    -3.9 1
-1938  1  5    -1.8    -2.3    -2.3 1
-1938  1  6    -5.4    -5.9    -5.9 1
-1938  1  7    -9.6   -10.1   -10.1 1
-1938  1  8   -11.1   -11.6   -11.6 1
-1938  1  9    -1.3    -1.8    -1.8 1
-1938  1 10    -1.5    -2.0    -2.0 1
-1938  1 11    -0.7    -1.2    -1.2 1
-1938  1 12    -4.8    -5.3    -5.3 1
-1938  1 13     0.2    -0.3    -0.3 1
-1938  1 14     2.5     1.9     1.9 1
-1938  1 15     0.9     0.3     0.3 1
-1938  1 16     2.0     1.4     1.4 1
-1938  1 17     2.3     1.7     1.7 1
-1938  1 18     0.2    -0.4    -0.4 1
-1938  1 19    -2.9    -3.5    -3.5 1
-1938  1 20    -1.0    -1.6    -1.6 1
-1938  1 21     0.9     0.3     0.3 1
-1938  1 22     1.3     0.8     0.8 1
-1938  1 23     3.6     3.1     3.1 1
-1938  1 24     2.2     1.7     1.7 1
-1938  1 25     2.3     1.8     1.8 1
-1938  1 26     2.0     1.5     1.5 1
-1938  1 27     0.6     0.1     0.1 1
-1938  1 28    -2.0    -2.5    -2.5 1
-1938  1 29     1.4     0.9     0.9 1
-1938  1 30     1.3     0.8     0.8 1
-1938  1 31     0.3    -0.2    -0.2 1
-1938  2  1     2.3     1.8     1.8 1
-1938  2  2     3.1     2.6     2.6 1
-1938  2  3     2.3     1.8     1.8 1
-1938  2  4     3.4     2.9     2.9 1
-1938  2  5     6.2     5.7     5.7 1
-1938  2  6     4.3     3.8     3.8 1
-1938  2  7     0.8     0.3     0.3 1
-1938  2  8    -0.4    -0.9    -0.9 1
-1938  2  9    -1.0    -1.5    -1.5 1
-1938  2 10     1.0     0.5     0.5 1
-1938  2 11    -0.4    -0.9    -0.9 1
-1938  2 12    -2.0    -2.5    -2.5 1
-1938  2 13    -2.6    -3.1    -3.1 1
-1938  2 14    -3.8    -4.3    -4.3 1
-1938  2 15    -2.9    -3.4    -3.4 1
-1938  2 16     0.1    -0.4    -0.4 1
-1938  2 17     0.2    -0.3    -0.3 1
-1938  2 18     1.8     1.3     1.3 1
-1938  2 19     1.7     1.2     1.2 1
-1938  2 20     1.2     0.7     0.7 1
-1938  2 21     1.3     0.8     0.8 1
-1938  2 22    -2.0    -2.5    -2.5 1
-1938  2 23     0.2    -0.3    -0.3 1
-1938  2 24     3.4     2.9     2.9 1
-1938  2 25    -0.9    -1.5    -1.5 1
-1938  2 26     1.8     1.2     1.2 1
-1938  2 27     3.7     3.1     3.1 1
-1938  2 28     2.7     2.1     2.1 1
-1938  3  1     4.1     3.5     3.5 1
-1938  3  2     2.5     1.9     1.9 1
-1938  3  3     2.1     1.5     1.5 1
-1938  3  4     7.1     6.5     6.5 1
-1938  3  5     7.1     6.5     6.5 1
-1938  3  6     4.3     3.7     3.7 1
-1938  3  7     1.5     0.9     0.9 1
-1938  3  8     0.4    -0.2    -0.2 1
-1938  3  9     4.8     4.2     4.2 1
-1938  3 10     3.3     2.7     2.7 1
-1938  3 11    -0.8    -1.4    -1.4 1
-1938  3 12     0.8     0.2     0.2 1
-1938  3 13     3.8     3.2     3.2 1
-1938  3 14     4.2     3.6     3.6 1
-1938  3 15     4.6     4.0     4.0 1
-1938  3 16     7.0     6.4     6.4 1
-1938  3 17     2.4     1.8     1.8 1
-1938  3 18     5.8     5.2     5.2 1
-1938  3 19     7.9     7.3     7.3 1
-1938  3 20     7.0     6.4     6.4 1
-1938  3 21    10.9    10.3    10.3 1
-1938  3 22     5.8     5.2     5.2 1
-1938  3 23     6.3     5.7     5.7 1
-1938  3 24     8.0     7.4     7.4 1
-1938  3 25     8.8     8.2     8.2 1
-1938  3 26     2.2     1.6     1.6 1
-1938  3 27    -1.4    -2.0    -2.0 1
-1938  3 28    -1.6    -2.2    -2.2 1
-1938  3 29     2.8     2.2     2.2 1
-1938  3 30     5.8     5.3     5.3 1
-1938  3 31     2.4     1.9     1.9 1
-1938  4  1     1.6     1.1     1.1 1
-1938  4  2     3.8     3.3     3.3 1
-1938  4  3     1.5     1.0     1.0 1
-1938  4  4     0.0    -0.5    -0.5 1
-1938  4  5     2.7     2.2     2.2 1
-1938  4  6     6.4     5.9     5.9 1
-1938  4  7     5.0     4.5     4.5 1
-1938  4  8     2.0     1.5     1.5 1
-1938  4  9    -0.5    -1.0    -1.0 1
-1938  4 10     5.8     5.3     5.3 1
-1938  4 11     8.8     8.3     8.3 1
-1938  4 12     9.9     9.4     9.4 1
-1938  4 13     5.7     5.2     5.2 1
-1938  4 14     8.6     8.1     8.1 1
-1938  4 15     9.5     9.0     9.0 1
-1938  4 16     6.2     5.7     5.7 1
-1938  4 17     1.4     0.9     0.9 1
-1938  4 18     0.7     0.2     0.2 1
-1938  4 19     0.5     0.0     0.0 1
-1938  4 20     1.9     1.4     1.4 1
-1938  4 21     3.7     3.1     3.1 1
-1938  4 22     4.4     3.8     3.8 1
-1938  4 23     2.8     2.2     2.2 1
-1938  4 24     3.9     3.3     3.3 1
-1938  4 25     6.8     6.2     6.2 1
-1938  4 26     8.9     8.3     8.3 1
-1938  4 27     8.5     7.9     7.9 1
-1938  4 28     9.5     8.8     8.8 1
-1938  4 29     9.9     9.2     9.2 1
-1938  4 30     4.2     3.5     3.5 1
-1938  5  1     6.9     6.2     6.2 1
-1938  5  2     6.4     5.7     5.7 1
-1938  5  3     4.2     3.5     3.5 1
-1938  5  4     7.4     6.7     6.7 1
-1938  5  5     8.7     7.9     7.9 1
-1938  5  6     8.3     7.5     7.5 1
-1938  5  7     7.3     6.5     6.5 1
-1938  5  8     4.7     3.9     3.9 1
-1938  5  9     7.1     6.3     6.3 1
-1938  5 10     6.0     5.2     5.2 1
-1938  5 11     7.4     6.6     6.6 1
-1938  5 12    10.7     9.8     9.8 1
-1938  5 13    16.1    15.2    15.2 1
-1938  5 14    13.8    12.9    12.9 1
-1938  5 15    17.5    16.6    16.6 1
-1938  5 16    20.4    19.5    19.5 1
-1938  5 17    15.6    14.7    14.7 1
-1938  5 18    10.0     9.1     9.1 1
-1938  5 19     2.5     1.6     1.6 1
-1938  5 20     3.3     2.4     2.4 1
-1938  5 21     6.2     5.3     5.3 1
-1938  5 22     8.3     7.4     7.4 1
-1938  5 23    11.2    10.4    10.4 1
-1938  5 24    10.8    10.0    10.0 1
-1938  5 25    11.5    10.7    10.7 1
-1938  5 26    11.0    10.2    10.2 1
-1938  5 27    12.2    11.4    11.4 1
-1938  5 28    13.9    13.1    13.1 1
-1938  5 29    10.6     9.8     9.8 1
-1938  5 30    10.5     9.7     9.7 1
-1938  5 31    12.3    11.5    11.5 1
-1938  6  1    12.6    11.8    11.8 1
-1938  6  2    13.3    12.5    12.5 1
-1938  6  3    16.8    16.0    16.0 1
-1938  6  4    12.9    12.1    12.1 1
-1938  6  5    16.0    15.2    15.2 1
-1938  6  6    17.5    16.7    16.7 1
-1938  6  7    18.3    17.6    17.6 1
-1938  6  8    19.8    19.1    19.1 1
-1938  6  9    19.3    18.6    18.6 1
-1938  6 10    18.1    17.4    17.4 1
-1938  6 11    14.9    14.2    14.2 1
-1938  6 12    13.0    12.3    12.3 1
-1938  6 13    13.5    12.8    12.8 1
-1938  6 14    14.9    14.2    14.2 1
-1938  6 15    11.8    11.1    11.1 1
-1938  6 16    12.4    11.7    11.7 1
-1938  6 17    13.4    12.7    12.7 1
-1938  6 18    14.1    13.4    13.4 1
-1938  6 19    15.4    14.7    14.7 1
-1938  6 20    14.0    13.3    13.3 1
-1938  6 21    13.2    12.5    12.5 1
-1938  6 22    14.8    14.1    14.1 1
-1938  6 23    14.4    13.7    13.7 1
-1938  6 24    14.3    13.6    13.6 1
-1938  6 25    15.0    14.3    14.3 1
-1938  6 26    12.0    11.3    11.3 1
-1938  6 27    14.3    13.6    13.6 1
-1938  6 28    13.8    13.1    13.1 1
-1938  6 29    13.3    12.6    12.6 1
-1938  6 30    15.0    14.3    14.3 1
-1938  7  1    15.3    14.6    14.6 1
-1938  7  2    13.1    12.4    12.4 1
-1938  7  3    15.1    14.4    14.4 1
-1938  7  4    16.3    15.6    15.6 1
-1938  7  5    17.1    16.4    16.4 1
-1938  7  6    13.8    13.1    13.1 1
-1938  7  7    15.5    14.8    14.8 1
-1938  7  8    17.6    16.9    16.9 1
-1938  7  9    19.2    18.5    18.5 1
-1938  7 10    16.1    15.4    15.4 1
-1938  7 11    16.9    16.2    16.2 1
-1938  7 12    13.7    13.0    13.0 1
-1938  7 13    16.0    15.3    15.3 1
-1938  7 14    16.3    15.6    15.6 1
-1938  7 15    19.2    18.5    18.5 1
-1938  7 16    18.7    18.1    18.1 1
-1938  7 17    20.4    19.8    19.8 1
-1938  7 18    16.6    16.0    16.0 1
-1938  7 19    18.2    17.6    17.6 1
-1938  7 20    18.4    17.8    17.8 1
-1938  7 21    17.3    16.7    16.7 1
-1938  7 22    20.9    20.3    20.3 1
-1938  7 23    19.5    18.9    18.9 1
-1938  7 24    18.3    17.7    17.7 1
-1938  7 25    18.2    17.6    17.6 1
-1938  7 26    20.5    19.9    19.9 1
-1938  7 27    20.7    20.1    20.1 1
-1938  7 28    21.4    20.8    20.8 1
-1938  7 29    21.5    21.0    21.0 1
-1938  7 30    20.1    19.6    19.6 1
-1938  7 31    24.2    23.7    23.7 1
-1938  8  1    22.6    22.1    22.1 1
-1938  8  2    20.2    19.7    19.7 1
-1938  8  3    17.2    16.7    16.7 1
-1938  8  4    17.9    17.4    17.4 1
-1938  8  5    18.9    18.4    18.4 1
-1938  8  6    20.6    20.1    20.1 1
-1938  8  7    21.9    21.4    21.4 1
-1938  8  8    21.7    21.2    21.2 1
-1938  8  9    22.2    21.7    21.7 1
-1938  8 10    22.5    22.0    22.0 1
-1938  8 11    21.3    20.9    20.9 1
-1938  8 12    23.1    22.7    22.7 1
-1938  8 13    22.3    21.9    21.9 1
-1938  8 14    22.4    22.0    22.0 1
-1938  8 15    21.6    21.2    21.2 1
-1938  8 16    19.3    18.9    18.9 1
-1938  8 17    17.6    17.2    17.2 1
-1938  8 18    15.2    14.8    14.8 1
-1938  8 19    16.4    16.0    16.0 1
-1938  8 20    16.2    15.8    15.8 1
-1938  8 21    15.5    15.1    15.1 1
-1938  8 22    14.1    13.8    13.8 1
-1938  8 23    14.5    14.2    14.2 1
-1938  8 24    14.8    14.5    14.5 1
-1938  8 25    16.7    16.4    16.4 1
-1938  8 26    15.6    15.3    15.3 1
-1938  8 27    15.0    14.7    14.7 1
-1938  8 28    14.8    14.5    14.5 1
-1938  8 29    15.4    15.1    15.1 1
-1938  8 30    17.4    17.2    17.2 1
-1938  8 31    18.5    18.3    18.3 1
-1938  9  1    19.5    19.3    19.3 1
-1938  9  2    18.5    18.3    18.3 1
-1938  9  3    15.8    15.6    15.6 1
-1938  9  4    15.4    15.2    15.2 1
-1938  9  5    14.5    14.3    14.3 1
-1938  9  6    15.2    15.0    15.0 1
-1938  9  7    15.3    15.1    15.1 1
-1938  9  8    14.9    14.8    14.8 1
-1938  9  9    14.2    14.1    14.1 1
-1938  9 10    13.5    13.4    13.4 1
-1938  9 11    13.0    12.9    12.9 1
-1938  9 12    13.3    13.2    13.2 1
-1938  9 13    14.4    14.3    14.3 1
-1938  9 14     9.6     9.5     9.5 1
-1938  9 15     8.2     8.1     8.1 1
-1938  9 16     7.8     7.7     7.7 1
-1938  9 17    10.5    10.4    10.4 1
-1938  9 18    12.1    12.0    12.0 1
-1938  9 19    15.1    15.0    15.0 1
-1938  9 20    14.4    14.3    14.3 1
-1938  9 21    14.6    14.5    14.5 1
-1938  9 22    15.3    15.2    15.2 1
-1938  9 23    15.0    14.9    14.9 1
-1938  9 24    14.3    14.2    14.2 1
-1938  9 25    13.4    13.3    13.3 1
-1938  9 26    14.3    14.2    14.2 1
-1938  9 27    14.1    14.0    14.0 1
-1938  9 28    12.9    12.8    12.8 1
-1938  9 29    12.2    12.1    12.1 1
-1938  9 30    11.8    11.7    11.7 1
-1938 10  1    12.9    12.8    12.8 1
-1938 10  2    14.6    14.5    14.5 1
-1938 10  3    13.6    13.5    13.5 1
-1938 10  4    11.6    11.5    11.5 1
-1938 10  5    11.8    11.7    11.7 1
-1938 10  6    10.9    10.8    10.8 1
-1938 10  7     9.1     9.0     9.0 1
-1938 10  8     9.2     9.1     9.1 1
-1938 10  9    10.3    10.2    10.2 1
-1938 10 10    10.5    10.4    10.4 1
-1938 10 11     9.5     9.4     9.4 1
-1938 10 12     8.3     8.2     8.2 1
-1938 10 13     9.2     9.1     9.1 1
-1938 10 14    10.4    10.3    10.3 1
-1938 10 15     7.5     7.4     7.4 1
-1938 10 16     7.2     7.1     7.1 1
-1938 10 17    10.2    10.1    10.1 1
-1938 10 18    10.1    10.0    10.0 1
-1938 10 19     7.0     6.9     6.9 1
-1938 10 20     5.6     5.5     5.5 1
-1938 10 21     4.7     4.6     4.6 1
-1938 10 22     3.5     3.4     3.4 1
-1938 10 23     4.6     4.5     4.5 1
-1938 10 24     5.1     5.0     5.0 1
-1938 10 25     4.5     4.4     4.4 1
-1938 10 26     6.0     5.9     5.9 1
-1938 10 27     8.1     8.0     8.0 1
-1938 10 28     7.5     7.4     7.4 1
-1938 10 29     5.0     4.9     4.9 1
-1938 10 30     6.5     6.4     6.4 1
-1938 10 31     6.6     6.4     6.4 1
-1938 11  1     7.4     7.2     7.2 1
-1938 11  2     7.3     7.1     7.1 1
-1938 11  3     4.6     4.4     4.4 1
-1938 11  4     4.9     4.7     4.7 1
-1938 11  5     2.5     2.3     2.3 1
-1938 11  6     2.3     2.1     2.1 1
-1938 11  7     9.4     9.2     9.2 1
-1938 11  8     4.5     4.3     4.3 1
-1938 11  9     1.1     0.9     0.9 1
-1938 11 10     1.9     1.7     1.7 1
-1938 11 11     4.8     4.6     4.6 1
-1938 11 12     6.9     6.7     6.7 1
-1938 11 13     8.0     7.8     7.8 1
-1938 11 14    10.8    10.6    10.6 1
-1938 11 15     6.3     6.0     6.0 1
-1938 11 16     3.6     3.3     3.3 1
-1938 11 17     2.1     1.8     1.8 1
-1938 11 18     3.0     2.7     2.7 1
-1938 11 19     5.7     5.4     5.4 1
-1938 11 20     4.3     4.0     4.0 1
-1938 11 21     6.2     5.9     5.9 1
-1938 11 22     7.1     6.8     6.8 1
-1938 11 23     4.1     3.8     3.8 1
-1938 11 24     7.2     6.9     6.9 1
-1938 11 25     5.0     4.7     4.7 1
-1938 11 26     7.1     6.8     6.8 1
-1938 11 27     6.3     6.0     6.0 1
-1938 11 28     4.9     4.6     4.6 1
-1938 11 29     6.1     5.8     5.8 1
-1938 11 30     6.2     5.9     5.9 1
-1938 12  1     5.7     5.4     5.4 1
-1938 12  2     6.2     5.9     5.9 1
-1938 12  3     3.8     3.5     3.5 1
-1938 12  4     0.6     0.3     0.3 1
-1938 12  5     1.6     1.3     1.3 1
-1938 12  6     4.1     3.8     3.8 1
-1938 12  7     4.1     3.8     3.8 1
-1938 12  8     6.6     6.3     6.3 1
-1938 12  9     4.9     4.6     4.6 1
-1938 12 10     5.1     4.8     4.8 1
-1938 12 11     4.1     3.8     3.8 1
-1938 12 12     4.6     4.3     4.3 1
-1938 12 13     3.2     2.9     2.9 1
-1938 12 14     2.5     2.2     2.2 1
-1938 12 15     1.4     1.1     1.1 1
-1938 12 16    -1.1    -1.4    -1.4 1
-1938 12 17    -1.6    -1.9    -1.9 1
-1938 12 18    -3.7    -4.0    -4.0 1
-1938 12 19    -5.4    -5.7    -5.7 1
-1938 12 20    -5.6    -6.0    -6.0 1
-1938 12 21    -1.6    -2.0    -2.0 1
-1938 12 22    -0.9    -1.3    -1.3 1
-1938 12 23    -3.8    -4.2    -4.2 1
-1938 12 24    -5.0    -5.4    -5.4 1
-1938 12 25    -7.0    -7.4    -7.4 1
-1938 12 26    -8.3    -8.7    -8.7 1
-1938 12 27    -6.0    -6.4    -6.4 1
-1938 12 28    -6.7    -7.1    -7.1 1
-1938 12 29    -7.0    -7.4    -7.4 1
-1938 12 30     0.2    -0.2    -0.2 1
-1938 12 31    -0.1    -0.5    -0.5 1
-1939  1  1    -2.9    -3.4    -3.4 1
-1939  1  2    -0.7    -1.2    -1.2 1
-1939  1  3     0.0    -0.5    -0.5 1
-1939  1  4     0.8     0.3     0.3 1
-1939  1  5    -5.0    -5.5    -5.5 1
-1939  1  6    -9.3    -9.8    -9.8 1
-1939  1  7    -9.4    -9.9    -9.9 1
-1939  1  8    -4.0    -4.5    -4.5 1
-1939  1  9    -1.9    -2.4    -2.4 1
-1939  1 10    -2.2    -2.7    -2.7 1
-1939  1 11    -4.0    -4.5    -4.5 1
-1939  1 12    -1.6    -2.1    -2.1 1
-1939  1 13     1.5     0.9     0.9 1
-1939  1 14     0.2    -0.4    -0.4 1
-1939  1 15     0.2    -0.4    -0.4 1
-1939  1 16     3.7     3.1     3.1 1
-1939  1 17     4.5     3.9     3.9 1
-1939  1 18    -0.6    -1.2    -1.2 1
-1939  1 19    -4.1    -4.7    -4.7 1
-1939  1 20    -0.4    -1.0    -1.0 1
-1939  1 21     1.5     0.9     0.9 1
-1939  1 22     2.2     1.6     1.6 1
-1939  1 23     1.2     0.6     0.6 1
-1939  1 24     2.3     1.7     1.7 1
-1939  1 25     2.6     2.0     2.0 1
-1939  1 26     1.8     1.2     1.2 1
-1939  1 27    -1.6    -2.2    -2.2 1
-1939  1 28    -2.3    -2.9    -2.9 1
-1939  1 29    -2.0    -2.5    -2.5 1
-1939  1 30     0.9     0.4     0.4 1
-1939  1 31     0.3    -0.2    -0.2 1
-1939  2  1    -0.1    -0.6    -0.6 1
-1939  2  2    -1.0    -1.5    -1.5 1
-1939  2  3    -2.2    -2.7    -2.7 1
-1939  2  4     1.2     0.7     0.7 1
-1939  2  5     3.7     3.2     3.2 1
-1939  2  6     4.8     4.3     4.3 1
-1939  2  7     4.6     4.1     4.1 1
-1939  2  8     5.5     5.0     5.0 1
-1939  2  9     4.8     4.3     4.3 1
-1939  2 10     2.3     1.8     1.8 1
-1939  2 11     4.6     4.1     4.1 1
-1939  2 12     6.5     6.0     6.0 1
-1939  2 13    -2.0    -2.5    -2.5 1
-1939  2 14    -2.5    -3.0    -3.0 1
-1939  2 15     4.8     4.3     4.3 1
-1939  2 16     6.0     5.5     5.5 1
-1939  2 17     2.1     1.6     1.6 1
-1939  2 18     2.4     1.9     1.9 1
-1939  2 19     1.3     0.8     0.8 1
-1939  2 20     0.6     0.1     0.1 1
-1939  2 21     0.8     0.2     0.2 1
-1939  2 22    -0.1    -0.7    -0.7 1
-1939  2 23     0.8     0.2     0.2 1
-1939  2 24     1.5     0.9     0.9 1
-1939  2 25     1.3     0.7     0.7 1
-1939  2 26     3.3     2.7     2.7 1
-1939  2 27     2.4     1.8     1.8 1
-1939  2 28     1.9     1.3     1.3 1
-1939  3  1     0.2    -0.4    -0.4 1
-1939  3  2     0.0    -0.6    -0.6 1
-1939  3  3     1.3     0.7     0.7 1
-1939  3  4     1.5     0.9     0.9 1
-1939  3  5     1.8     1.2     1.2 1
-1939  3  6     4.8     4.2     4.2 1
-1939  3  7     4.5     3.9     3.9 1
-1939  3  8     3.3     2.7     2.7 1
-1939  3  9     1.1     0.5     0.5 1
-1939  3 10     0.3    -0.3    -0.3 1
-1939  3 11     0.4    -0.2    -0.2 1
-1939  3 12    -0.4    -1.0    -1.0 1
-1939  3 13     0.9     0.3     0.3 1
-1939  3 14     1.9     1.3     1.3 1
-1939  3 15    -1.2    -1.8    -1.8 1
-1939  3 16    -3.4    -4.0    -4.0 1
-1939  3 17    -2.4    -3.0    -3.0 1
-1939  3 18    -2.9    -3.5    -3.5 1
-1939  3 19    -2.0    -2.6    -2.6 1
-1939  3 20    -1.6    -2.2    -2.2 1
-1939  3 21    -2.1    -2.7    -2.7 1
-1939  3 22    -2.1    -2.7    -2.7 1
-1939  3 23    -2.1    -2.7    -2.7 1
-1939  3 24    -1.0    -1.6    -1.6 1
-1939  3 25     0.5    -0.1    -0.1 1
-1939  3 26     1.1     0.5     0.5 1
-1939  3 27     1.6     1.0     1.0 1
-1939  3 28     0.8     0.2     0.2 1
-1939  3 29     0.4    -0.2    -0.2 1
-1939  3 30     0.5    -0.1    -0.1 1
-1939  3 31     0.6     0.0     0.0 1
-1939  4  1    -0.8    -1.3    -1.3 1
-1939  4  2     0.7     0.2     0.2 1
-1939  4  3     2.8     2.3     2.3 1
-1939  4  4     1.5     1.0     1.0 1
-1939  4  5     3.6     3.1     3.1 1
-1939  4  6     3.3     2.8     2.8 1
-1939  4  7     4.7     4.2     4.2 1
-1939  4  8     5.6     5.1     5.1 1
-1939  4  9     5.8     5.3     5.3 1
-1939  4 10     3.2     2.7     2.7 1
-1939  4 11     5.9     5.4     5.4 1
-1939  4 12     3.4     2.9     2.9 1
-1939  4 13     4.0     3.5     3.5 1
-1939  4 14    11.1    10.6    10.6 1
-1939  4 15     8.3     7.8     7.8 1
-1939  4 16     7.8     7.3     7.3 1
-1939  4 17     9.0     8.5     8.5 1
-1939  4 18     5.6     5.1     5.1 1
-1939  4 19     8.4     7.9     7.9 1
-1939  4 20     9.9     9.3     9.3 1
-1939  4 21     6.0     5.4     5.4 1
-1939  4 22     5.3     4.7     4.7 1
-1939  4 23     5.3     4.7     4.7 1
-1939  4 24     3.4     2.8     2.8 1
-1939  4 25     2.9     2.3     2.3 1
-1939  4 26     2.0     1.4     1.4 1
-1939  4 27     4.9     4.2     4.2 1
-1939  4 28     5.7     5.0     5.0 1
-1939  4 29     6.0     5.3     5.3 1
-1939  4 30     8.1     7.4     7.4 1
-1939  5  1     4.8     4.1     4.1 1
-1939  5  2     5.5     4.8     4.8 1
-1939  5  3     2.9     2.2     2.2 1
-1939  5  4     4.2     3.4     3.4 1
-1939  5  5     6.2     5.4     5.4 1
-1939  5  6     7.4     6.6     6.6 1
-1939  5  7     6.3     5.5     5.5 1
-1939  5  8     5.0     4.2     4.2 1
-1939  5  9     8.1     7.3     7.3 1
-1939  5 10    11.0    10.2    10.2 1
-1939  5 11    12.1    11.2    11.2 1
-1939  5 12    10.6     9.7     9.7 1
-1939  5 13     8.0     7.1     7.1 1
-1939  5 14     8.0     7.1     7.1 1
-1939  5 15    10.7     9.8     9.8 1
-1939  5 16    13.8    12.9    12.9 1
-1939  5 17    11.3    10.4    10.4 1
-1939  5 18     9.6     8.7     8.7 1
-1939  5 19     8.9     8.0     8.0 1
-1939  5 20    10.7     9.8     9.8 1
-1939  5 21    11.5    10.6    10.6 1
-1939  5 22    13.4    12.5    12.5 1
-1939  5 23    14.9    14.0    14.0 1
-1939  5 24    14.4    13.5    13.5 1
-1939  5 25    10.3     9.5     9.5 1
-1939  5 26    14.8    14.0    14.0 1
-1939  5 27    11.5    10.7    10.7 1
-1939  5 28    12.1    11.3    11.3 1
-1939  5 29    10.2     9.4     9.4 1
-1939  5 30    13.6    12.8    12.8 1
-1939  5 31    16.0    15.2    15.2 1
-1939  6  1    10.1     9.3     9.3 1
-1939  6  2    16.6    15.8    15.8 1
-1939  6  3    10.0     9.2     9.2 1
-1939  6  4    10.7     9.9     9.9 1
-1939  6  5    13.6    12.8    12.8 1
-1939  6  6    16.6    15.8    15.8 1
-1939  6  7    18.8    18.0    18.0 1
-1939  6  8    11.8    11.0    11.0 1
-1939  6  9    11.2    10.4    10.4 1
-1939  6 10    16.3    15.6    15.6 1
-1939  6 11    16.0    15.3    15.3 1
-1939  6 12    14.1    13.4    13.4 1
-1939  6 13    12.8    12.1    12.1 1
-1939  6 14    15.5    14.8    14.8 1
-1939  6 15    13.4    12.7    12.7 1
-1939  6 16    16.7    16.0    16.0 1
-1939  6 17    18.3    17.6    17.6 1
-1939  6 18    19.5    18.8    18.8 1
-1939  6 19    20.8    20.1    20.1 1
-1939  6 20    21.8    21.1    21.1 1
-1939  6 21    22.4    21.7    21.7 1
-1939  6 22    13.2    12.5    12.5 1
-1939  6 23    13.4    12.7    12.7 1
-1939  6 24    15.9    15.2    15.2 1
-1939  6 25    14.4    13.7    13.7 1
-1939  6 26    16.8    16.1    16.1 1
-1939  6 27    14.4    13.7    13.7 1
-1939  6 28    15.1    14.4    14.4 1
-1939  6 29    16.3    15.6    15.6 1
-1939  6 30    18.5    17.8    17.8 1
-1939  7  1    18.6    17.9    17.9 1
-1939  7  2    16.7    16.0    16.0 1
-1939  7  3    15.6    14.9    14.9 1
-1939  7  4    17.2    16.5    16.5 1
-1939  7  5    19.1    18.4    18.4 1
-1939  7  6    20.6    19.9    19.9 1
-1939  7  7    19.5    18.8    18.8 1
-1939  7  8    18.4    17.7    17.7 1
-1939  7  9    17.5    16.8    16.8 1
-1939  7 10    16.0    15.3    15.3 1
-1939  7 11    14.6    13.9    13.9 1
-1939  7 12    16.3    15.6    15.6 1
-1939  7 13    17.0    16.3    16.3 1
-1939  7 14    15.7    15.0    15.0 1
-1939  7 15    17.6    16.9    16.9 1
-1939  7 16    18.9    18.2    18.2 1
-1939  7 17    19.8    19.1    19.1 1
-1939  7 18    19.0    18.4    18.4 1
-1939  7 19    19.8    19.2    19.2 1
-1939  7 20    18.1    17.5    17.5 1
-1939  7 21    19.9    19.3    19.3 1
-1939  7 22    19.0    18.4    18.4 1
-1939  7 23    16.9    16.3    16.3 1
-1939  7 24    18.5    17.9    17.9 1
-1939  7 25    18.3    17.7    17.7 1
-1939  7 26    16.5    15.9    15.9 1
-1939  7 27    17.8    17.2    17.2 1
-1939  7 28    20.2    19.6    19.6 1
-1939  7 29    19.5    18.9    18.9 1
-1939  7 30    18.8    18.2    18.2 1
-1939  7 31    21.8    21.3    21.3 1
-1939  8  1    16.6    16.1    16.1 1
-1939  8  2    17.1    16.6    16.6 1
-1939  8  3    16.2    15.7    15.7 1
-1939  8  4    17.1    16.6    16.6 1
-1939  8  5    17.5    17.0    17.0 1
-1939  8  6    21.2    20.7    20.7 1
-1939  8  7    22.2    21.7    21.7 1
-1939  8  8    18.1    17.6    17.6 1
-1939  8  9    19.5    19.0    19.0 1
-1939  8 10    20.2    19.7    19.7 1
-1939  8 11    20.6    20.1    20.1 1
-1939  8 12    19.5    19.0    19.0 1
-1939  8 13    18.4    18.0    18.0 1
-1939  8 14    20.7    20.3    20.3 1
-1939  8 15    20.9    20.5    20.5 1
-1939  8 16    17.3    16.9    16.9 1
-1939  8 17    19.9    19.5    19.5 1
-1939  8 18    18.8    18.4    18.4 1
-1939  8 19    19.1    18.7    18.7 1
-1939  8 20    20.6    20.2    20.2 1
-1939  8 21    20.5    20.1    20.1 1
-1939  8 22    20.9    20.5    20.5 1
-1939  8 23    22.3    22.0    22.0 1
-1939  8 24    19.1    18.8    18.8 1
-1939  8 25    20.8    20.5    20.5 1
-1939  8 26    20.7    20.4    20.4 1
-1939  8 27    21.0    20.7    20.7 1
-1939  8 28    21.0    20.7    20.7 1
-1939  8 29    19.3    19.0    19.0 1
-1939  8 30    19.2    18.9    18.9 1
-1939  8 31    18.7    18.5    18.5 1
-1939  9  1    18.1    17.9    17.9 1
-1939  9  2    15.7    15.5    15.5 1
-1939  9  3    15.7    15.5    15.5 1
-1939  9  4    17.7    17.5    17.5 1
-1939  9  5    18.0    17.8    17.8 1
-1939  9  6    17.7    17.5    17.5 1
-1939  9  7    17.6    17.4    17.4 1
-1939  9  8    17.5    17.3    17.3 1
-1939  9  9    18.0    17.9    17.9 1
-1939  9 10    15.4    15.3    15.3 1
-1939  9 11     9.6     9.5     9.5 1
-1939  9 12    10.3    10.2    10.2 1
-1939  9 13    13.0    12.9    12.9 1
-1939  9 14    14.5    14.4    14.4 1
-1939  9 15    12.9    12.8    12.8 1
-1939  9 16    10.3    10.2    10.2 1
-1939  9 17    12.0    11.9    11.9 1
-1939  9 18    12.4    12.3    12.3 1
-1939  9 19    13.5    13.4    13.4 1
-1939  9 20    13.8    13.7    13.7 1
-1939  9 21    14.2    14.1    14.1 1
-1939  9 22     8.0     7.9     7.9 1
-1939  9 23     5.6     5.5     5.5 1
-1939  9 24     4.1     4.0     4.0 1
-1939  9 25     4.2     4.1     4.1 1
-1939  9 26     2.7     2.6     2.6 1
-1939  9 27     6.5     6.4     6.4 1
-1939  9 28     8.5     8.4     8.4 1
-1939  9 29     8.8     8.7     8.7 1
-1939  9 30     4.7     4.6     4.6 1
-1939 10  1     2.4     2.3     2.3 1
-1939 10  2     4.4     4.3     4.3 1
-1939 10  3     5.7     5.6     5.6 1
-1939 10  4     8.4     8.3     8.3 1
-1939 10  5     8.6     8.5     8.5 1
-1939 10  6     5.9     5.8     5.8 1
-1939 10  7     4.4     4.3     4.3 1
-1939 10  8     3.2     3.1     3.1 1
-1939 10  9     3.8     3.7     3.7 1
-1939 10 10     5.0     4.9     4.9 1
-1939 10 11     4.3     4.2     4.2 1
-1939 10 12     4.2     4.1     4.1 1
-1939 10 13     5.1     5.0     5.0 1
-1939 10 14     5.9     5.8     5.8 1
-1939 10 15     5.7     5.6     5.6 1
-1939 10 16     5.0     4.9     4.9 1
-1939 10 17     4.2     4.1     4.1 1
-1939 10 18     3.2     3.1     3.1 1
-1939 10 19     2.9     2.8     2.8 1
-1939 10 20     3.1     3.0     3.0 1
-1939 10 21     3.2     3.1     3.1 1
-1939 10 22     3.8     3.7     3.7 1
-1939 10 23     4.1     4.0     4.0 1
-1939 10 24     5.3     5.2     5.2 1
-1939 10 25     2.1     2.0     2.0 1
-1939 10 26     1.1     1.0     1.0 1
-1939 10 27     1.7     1.6     1.6 1
-1939 10 28     1.6     1.5     1.5 1
-1939 10 29     4.4     4.2     4.2 1
-1939 10 30     1.2     1.0     1.0 1
-1939 10 31     1.9     1.7     1.7 1
-1939 11  1     4.1     3.9     3.9 1
-1939 11  2     3.2     3.0     3.0 1
-1939 11  3     2.8     2.6     2.6 1
-1939 11  4     3.1     2.9     2.9 1
-1939 11  5     4.1     3.9     3.9 1
-1939 11  6     7.0     6.8     6.8 1
-1939 11  7     8.1     7.9     7.9 1
-1939 11  8     7.6     7.4     7.4 1
-1939 11  9     9.3     9.1     9.1 1
-1939 11 10     8.2     8.0     8.0 1
-1939 11 11     5.2     5.0     5.0 1
-1939 11 12     6.1     5.9     5.9 1
-1939 11 13     2.7     2.5     2.5 1
-1939 11 14     5.7     5.4     5.4 1
-1939 11 15     8.6     8.3     8.3 1
-1939 11 16     6.8     6.5     6.5 1
-1939 11 17     3.3     3.0     3.0 1
-1939 11 18    -0.7    -1.0    -1.0 1
-1939 11 19    -2.0    -2.3    -2.3 1
-1939 11 20    -4.3    -4.6    -4.6 1
-1939 11 21    -3.0    -3.3    -3.3 1
-1939 11 22     0.5     0.2     0.2 1
-1939 11 23     1.1     0.8     0.8 1
-1939 11 24     2.4     2.1     2.1 1
-1939 11 25     1.1     0.8     0.8 1
-1939 11 26     1.7     1.4     1.4 1
-1939 11 27     4.1     3.8     3.8 1
-1939 11 28     2.6     2.3     2.3 1
-1939 11 29     0.3     0.0     0.0 1
-1939 11 30     2.4     2.1     2.1 1
-1939 12  1     1.7     1.4     1.4 1
-1939 12  2     1.6     1.3     1.3 1
-1939 12  3     4.3     4.0     4.0 1
-1939 12  4     2.8     2.5     2.5 1
-1939 12  5     1.6     1.3     1.3 1
-1939 12  6     1.4     1.1     1.1 1
-1939 12  7     0.7     0.4     0.4 1
-1939 12  8     0.2    -0.1    -0.1 1
-1939 12  9    -0.8    -1.1    -1.1 1
-1939 12 10     0.3     0.0     0.0 1
-1939 12 11    -1.2    -1.5    -1.5 1
-1939 12 12    -2.1    -2.4    -2.4 1
-1939 12 13    -0.3    -0.6    -0.6 1
-1939 12 14     0.1    -0.2    -0.2 1
-1939 12 15    -3.1    -3.4    -3.4 1
-1939 12 16    -6.9    -7.2    -7.2 1
-1939 12 17    -4.5    -4.8    -4.8 1
-1939 12 18     1.5     1.2     1.2 1
-1939 12 19     0.1    -0.3    -0.3 1
-1939 12 20    -6.0    -6.4    -6.4 1
-1939 12 21    -3.8    -4.2    -4.2 1
-1939 12 22    -2.1    -2.5    -2.5 1
-1939 12 23    -0.5    -0.9    -0.9 1
-1939 12 24    -6.4    -6.8    -6.8 1
-1939 12 25    -8.5    -8.9    -8.9 1
-1939 12 26    -8.9    -9.3    -9.3 1
-1939 12 27   -13.4   -13.8   -13.8 1
-1939 12 28    -9.8   -10.2   -10.2 1
-1939 12 29    -8.6    -9.0    -9.0 1
-1939 12 30    -1.7    -2.1    -2.1 1
-1939 12 31    -5.3    -5.7    -5.7 1
-1940  1  1   -10.4   -10.9   -10.9 1
-1940  1  2    -3.5    -4.0    -4.0 1
-1940  1  3    -5.5    -6.0    -6.0 1
-1940  1  4    -6.9    -7.4    -7.4 1
-1940  1  5    -1.3    -1.8    -1.8 1
-1940  1  6    -3.3    -3.8    -3.8 1
-1940  1  7    -4.1    -4.6    -4.6 1
-1940  1  8    -3.8    -4.3    -4.3 1
-1940  1  9    -5.1    -5.6    -5.6 1
-1940  1 10    -4.0    -4.5    -4.5 1
-1940  1 11    -0.9    -1.4    -1.4 1
-1940  1 12    -0.5    -1.1    -1.1 1
-1940  1 13    -0.2    -0.8    -0.8 1
-1940  1 14    -0.9    -1.5    -1.5 1
-1940  1 15   -15.3   -15.9   -15.9 1
-1940  1 16   -14.9   -15.5   -15.5 1
-1940  1 17   -17.5   -18.1   -18.1 1
-1940  1 18   -16.9   -17.5   -17.5 1
-1940  1 19   -11.6   -12.2   -12.2 1
-1940  1 20   -10.5   -11.1   -11.1 1
-1940  1 21    -8.0    -8.6    -8.6 1
-1940  1 22    -6.1    -6.7    -6.7 1
-1940  1 23    -4.0    -4.6    -4.6 1
-1940  1 24    -8.7    -9.3    -9.3 1
-1940  1 25    -6.4    -7.0    -7.0 1
-1940  1 26    -9.2    -9.8    -9.8 1
-1940  1 27    -6.0    -6.6    -6.6 1
-1940  1 28    -6.3    -6.9    -6.9 1
-1940  1 29    -9.2    -9.8    -9.8 1
-1940  1 30    -5.6    -6.2    -6.2 1
-1940  1 31    -5.9    -6.5    -6.5 1
-1940  2  1    -7.1    -7.7    -7.7 1
-1940  2  2   -10.7   -11.3   -11.3 1
-1940  2  3   -14.1   -14.7   -14.7 1
-1940  2  4   -14.1   -14.7   -14.7 1
-1940  2  5   -14.8   -15.4   -15.4 1
-1940  2  6   -15.2   -15.8   -15.8 1
-1940  2  7   -15.0   -15.5   -15.5 1
-1940  2  8   -14.8   -15.3   -15.3 1
-1940  2  9   -16.1   -16.6   -16.6 1
-1940  2 10   -18.0   -18.5   -18.5 1
-1940  2 11   -17.4   -17.9   -17.9 1
-1940  2 12   -11.7   -12.2   -12.2 1
-1940  2 13    -9.9   -10.4   -10.4 1
-1940  2 14   -11.7   -12.2   -12.2 1
-1940  2 15   -14.7   -15.2   -15.2 1
-1940  2 16   -11.3   -11.8   -11.8 1
-1940  2 17   -10.2   -10.7   -10.7 1
-1940  2 18   -13.3   -13.9   -13.9 1
-1940  2 19   -17.0   -17.6   -17.6 1
-1940  2 20   -12.9   -13.5   -13.5 1
-1940  2 21    -5.2    -5.8    -5.8 1
-1940  2 22     0.1    -0.5    -0.5 1
-1940  2 23     1.7     1.1     1.1 1
-1940  2 24    -2.1    -2.7    -2.7 1
-1940  2 25    -7.5    -8.1    -8.1 1
-1940  2 26    -4.7    -5.3    -5.3 1
-1940  2 27    -3.3    -3.9    -3.9 1
-1940  2 28    -0.5    -1.1    -1.1 1
-1940  2 29    -6.5    -7.1    -7.1 1
-1940  3  1    -7.2    -7.8    -7.8 1
-1940  3  2    -4.6    -5.2    -5.2 1
-1940  3  3    -0.5    -1.1    -1.1 1
-1940  3  4    -1.2    -1.8    -1.8 1
-1940  3  5    -7.8    -8.4    -8.4 1
-1940  3  6    -6.7    -7.3    -7.3 1
-1940  3  7    -6.5    -7.1    -7.1 1
-1940  3  8    -7.4    -8.0    -8.0 1
-1940  3  9    -3.4    -4.0    -4.0 1
-1940  3 10    -8.4    -9.0    -9.0 1
-1940  3 11    -1.8    -2.4    -2.4 1
-1940  3 12    -3.6    -4.2    -4.2 1
-1940  3 13    -9.8   -10.4   -10.4 1
-1940  3 14   -10.9   -11.5   -11.5 1
-1940  3 15   -11.6   -12.2   -12.2 1
-1940  3 16    -9.9   -10.5   -10.5 1
-1940  3 17    -6.6    -7.2    -7.2 1
-1940  3 18    -5.6    -6.2    -6.2 1
-1940  3 19    -6.0    -6.6    -6.6 1
-1940  3 20    -4.5    -5.1    -5.1 1
-1940  3 21    -1.8    -2.4    -2.4 1
-1940  3 22    -1.1    -1.7    -1.7 1
-1940  3 23    -3.7    -4.3    -4.3 1
-1940  3 24    -3.0    -3.6    -3.6 1
-1940  3 25    -0.5    -1.1    -1.1 1
-1940  3 26    -3.0    -3.6    -3.6 1
-1940  3 27    -1.8    -2.4    -2.4 1
-1940  3 28    -4.7    -5.3    -5.3 1
-1940  3 29    -6.4    -7.0    -7.0 1
-1940  3 30    -2.4    -3.0    -3.0 1
-1940  3 31     1.7     1.1     1.1 1
-1940  4  1     5.6     5.0     5.0 1
-1940  4  2     6.3     5.7     5.7 1
-1940  4  3    -1.2    -1.7    -1.7 1
-1940  4  4     0.3    -0.2    -0.2 1
-1940  4  5     0.4    -0.1    -0.1 1
-1940  4  6     1.9     1.4     1.4 1
-1940  4  7     3.7     3.2     3.2 1
-1940  4  8     2.7     2.2     2.2 1
-1940  4  9     2.6     2.1     2.1 1
-1940  4 10     1.8     1.3     1.3 1
-1940  4 11     0.0    -0.5    -0.5 1
-1940  4 12    -1.7    -2.2    -2.2 1
-1940  4 13    -0.3    -0.8    -0.8 1
-1940  4 14     0.3    -0.2    -0.2 1
-1940  4 15     1.6     1.1     1.1 1
-1940  4 16     2.6     2.1     2.1 1
-1940  4 17     3.8     3.3     3.3 1
-1940  4 18     5.0     4.5     4.5 1
-1940  4 19     3.7     3.2     3.2 1
-1940  4 20     3.9     3.3     3.3 1
-1940  4 21     4.6     4.0     4.0 1
-1940  4 22     3.4     2.8     2.8 1
-1940  4 23     6.9     6.3     6.3 1
-1940  4 24     4.1     3.5     3.5 1
-1940  4 25     4.2     3.6     3.6 1
-1940  4 26     3.6     2.9     2.9 1
-1940  4 27     3.9     3.2     3.2 1
-1940  4 28     3.2     2.5     2.5 1
-1940  4 29     3.0     2.3     2.3 1
-1940  4 30     5.1     4.4     4.4 1
-1940  5  1     6.0     5.3     5.3 1
-1940  5  2     8.5     7.8     7.8 1
-1940  5  3    10.5     9.7     9.7 1
-1940  5  4    11.1    10.3    10.3 1
-1940  5  5    12.1    11.3    11.3 1
-1940  5  6     9.8     9.0     9.0 1
-1940  5  7    10.2     9.4     9.4 1
-1940  5  8    10.9    10.1    10.1 1
-1940  5  9    13.3    12.5    12.5 1
-1940  5 10    13.1    12.2    12.2 1
-1940  5 11     5.6     4.7     4.7 1
-1940  5 12     4.2     3.3     3.3 1
-1940  5 13     6.0     5.1     5.1 1
-1940  5 14     5.8     4.9     4.9 1
-1940  5 15     7.0     6.1     6.1 1
-1940  5 16    10.4     9.5     9.5 1
-1940  5 17     9.3     8.4     8.4 1
-1940  5 18     9.7     8.8     8.8 1
-1940  5 19     9.3     8.4     8.4 1
-1940  5 20    14.0    13.1    13.1 1
-1940  5 21    17.2    16.3    16.3 1
-1940  5 22    17.0    16.1    16.1 1
-1940  5 23    18.1    17.2    17.2 1
-1940  5 24    16.0    15.1    15.1 1
-1940  5 25    13.9    13.0    13.0 1
-1940  5 26    10.6     9.7     9.7 1
-1940  5 27     9.2     8.3     8.3 1
-1940  5 28    12.4    11.6    11.6 1
-1940  5 29    14.9    14.1    14.1 1
-1940  5 30    14.0    13.2    13.2 1
-1940  5 31    14.0    13.2    13.2 1
-1940  6  1    10.8    10.0    10.0 1
-1940  6  2    16.7    15.9    15.9 1
-1940  6  3    16.1    15.3    15.3 1
-1940  6  4    15.2    14.4    14.4 1
-1940  6  5    17.9    17.1    17.1 1
-1940  6  6    15.8    15.0    15.0 1
-1940  6  7    12.8    12.0    12.0 1
-1940  6  8    12.3    11.5    11.5 1
-1940  6  9    10.8    10.0    10.0 1
-1940  6 10    11.5    10.7    10.7 1
-1940  6 11    14.0    13.2    13.2 1
-1940  6 12    14.0    13.3    13.3 1
-1940  6 13    14.6    13.9    13.9 1
-1940  6 14    16.1    15.4    15.4 1
-1940  6 15    19.1    18.4    18.4 1
-1940  6 16    19.5    18.8    18.8 1
-1940  6 17    16.1    15.4    15.4 1
-1940  6 18    17.5    16.8    16.8 1
-1940  6 19    16.6    15.9    15.9 1
-1940  6 20    16.8    16.1    16.1 1
-1940  6 21    13.7    13.0    13.0 1
-1940  6 22    13.6    12.9    12.9 1
-1940  6 23    16.1    15.4    15.4 1
-1940  6 24    19.4    18.7    18.7 1
-1940  6 25    20.7    20.0    20.0 1
-1940  6 26    17.2    16.5    16.5 1
-1940  6 27    18.9    18.2    18.2 1
-1940  6 28    18.8    18.1    18.1 1
-1940  6 29    20.9    20.2    20.2 1
-1940  6 30    20.3    19.6    19.6 1
-1940  7  1    21.2    20.5    20.5 1
-1940  7  2    20.5    19.8    19.8 1
-1940  7  3    18.1    17.4    17.4 1
-1940  7  4    19.3    18.6    18.6 1
-1940  7  5    18.7    18.0    18.0 1
-1940  7  6    17.5    16.8    16.8 1
-1940  7  7    19.8    19.1    19.1 1
-1940  7  8    21.0    20.3    20.3 1
-1940  7  9    18.5    17.8    17.8 1
-1940  7 10    21.4    20.7    20.7 1
-1940  7 11    21.4    20.7    20.7 1
-1940  7 12    22.0    21.3    21.3 1
-1940  7 13    20.8    20.1    20.1 1
-1940  7 14    19.8    19.1    19.1 1
-1940  7 15    18.9    18.2    18.2 1
-1940  7 16    18.7    18.0    18.0 1
-1940  7 17    18.9    18.2    18.2 1
-1940  7 18    20.4    19.7    19.7 1
-1940  7 19    19.0    18.4    18.4 1
-1940  7 20    19.0    18.4    18.4 1
-1940  7 21    17.5    16.9    16.9 1
-1940  7 22    17.3    16.7    16.7 1
-1940  7 23    15.6    15.0    15.0 1
-1940  7 24    15.4    14.8    14.8 1
-1940  7 25    17.1    16.5    16.5 1
-1940  7 26    16.0    15.4    15.4 1
-1940  7 27    16.3    15.7    15.7 1
-1940  7 28    14.5    13.9    13.9 1
-1940  7 29    14.3    13.7    13.7 1
-1940  7 30    12.7    12.1    12.1 1
-1940  7 31    14.9    14.3    14.3 1
-1940  8  1    15.8    15.2    15.2 1
-1940  8  2    18.1    17.6    17.6 1
-1940  8  3    17.4    16.9    16.9 1
-1940  8  4    19.0    18.5    18.5 1
-1940  8  5    19.2    18.7    18.7 1
-1940  8  6    18.8    18.3    18.3 1
-1940  8  7    17.3    16.8    16.8 1
-1940  8  8    16.8    16.3    16.3 1
-1940  8  9    14.1    13.6    13.6 1
-1940  8 10    17.1    16.6    16.6 1
-1940  8 11    16.9    16.4    16.4 1
-1940  8 12    15.4    14.9    14.9 1
-1940  8 13    15.2    14.7    14.7 1
-1940  8 14    14.7    14.2    14.2 1
-1940  8 15    16.1    15.7    15.7 1
-1940  8 16    13.6    13.2    13.2 1
-1940  8 17    14.7    14.3    14.3 1
-1940  8 18    14.7    14.3    14.3 1
-1940  8 19    15.2    14.8    14.8 1
-1940  8 20    13.3    12.9    12.9 1
-1940  8 21    14.4    14.0    14.0 1
-1940  8 22    14.3    13.9    13.9 1
-1940  8 23    13.0    12.6    12.6 1
-1940  8 24    12.2    11.9    11.9 1
-1940  8 25    15.2    14.9    14.9 1
-1940  8 26    14.0    13.7    13.7 1
-1940  8 27    12.4    12.1    12.1 1
-1940  8 28    10.5    10.2    10.2 1
-1940  8 29    10.1     9.8     9.8 1
-1940  8 30     9.4     9.1     9.1 1
-1940  8 31    11.2    10.9    10.9 1
-1940  9  1    12.5    12.3    12.3 1
-1940  9  2    12.4    12.2    12.2 1
-1940  9  3    10.9    10.7    10.7 1
-1940  9  4    10.7    10.5    10.5 1
-1940  9  5    12.8    12.6    12.6 1
-1940  9  6    14.2    14.0    14.0 1
-1940  9  7    12.8    12.6    12.6 1
-1940  9  8    12.7    12.5    12.5 1
-1940  9  9    12.0    11.8    11.8 1
-1940  9 10    11.2    11.1    11.1 1
-1940  9 11    11.0    10.9    10.9 1
-1940  9 12     9.4     9.3     9.3 1
-1940  9 13    10.4    10.3    10.3 1
-1940  9 14    11.0    10.9    10.9 1
-1940  9 15    10.8    10.7    10.7 1
-1940  9 16    10.4    10.3    10.3 1
-1940  9 17    10.5    10.4    10.4 1
-1940  9 18    11.8    11.7    11.7 1
-1940  9 19    11.5    11.4    11.4 1
-1940  9 20    12.3    12.2    12.2 1
-1940  9 21    10.8    10.7    10.7 1
-1940  9 22    10.5    10.4    10.4 1
-1940  9 23    10.0     9.9     9.9 1
-1940  9 24     9.9     9.8     9.8 1
-1940  9 25     8.7     8.6     8.6 1
-1940  9 26     7.6     7.5     7.5 1
-1940  9 27     7.4     7.3     7.3 1
-1940  9 28     7.0     6.9     6.9 1
-1940  9 29     5.7     5.6     5.6 1
-1940  9 30     6.8     6.7     6.7 1
-1940 10  1     8.4     8.3     8.3 1
-1940 10  2     9.2     9.1     9.1 1
-1940 10  3     8.5     8.4     8.4 1
-1940 10  4     8.8     8.7     8.7 1
-1940 10  5    10.1    10.0    10.0 1
-1940 10  6     9.7     9.6     9.6 1
-1940 10  7    10.5    10.4    10.4 1
-1940 10  8     7.2     7.1     7.1 1
-1940 10  9     6.9     6.8     6.8 1
-1940 10 10     9.3     9.2     9.2 1
-1940 10 11     9.2     9.1     9.1 1
-1940 10 12     8.5     8.4     8.4 1
-1940 10 13     9.7     9.6     9.6 1
-1940 10 14     9.6     9.5     9.5 1
-1940 10 15     7.8     7.7     7.7 1
-1940 10 16     8.0     7.9     7.9 1
-1940 10 17     7.1     7.0     7.0 1
-1940 10 18     7.1     7.0     7.0 1
-1940 10 19     6.8     6.7     6.7 1
-1940 10 20     6.0     5.9     5.9 1
-1940 10 21     3.7     3.6     3.6 1
-1940 10 22     2.0     1.9     1.9 1
-1940 10 23     1.2     1.1     1.1 1
-1940 10 24     1.5     1.4     1.4 1
-1940 10 25     1.1     1.0     1.0 1
-1940 10 26     1.2     1.1     1.1 1
-1940 10 27     1.6     1.5     1.5 1
-1940 10 28     2.0     1.8     1.8 1
-1940 10 29     2.5     2.3     2.3 1
-1940 10 30     3.0     2.8     2.8 1
-1940 10 31     4.3     4.1     4.1 1
-1940 11  1     5.1     4.9     4.9 1
-1940 11  2     3.5     3.3     3.3 1
-1940 11  3     3.7     3.5     3.5 1
-1940 11  4     1.6     1.4     1.4 1
-1940 11  5    -0.9    -1.1    -1.1 1
-1940 11  6    -1.2    -1.4    -1.4 1
-1940 11  7    -0.7    -0.9    -0.9 1
-1940 11  8    -2.5    -2.7    -2.7 1
-1940 11  9    -2.4    -2.6    -2.6 1
-1940 11 10    -0.8    -1.0    -1.0 1
-1940 11 11     3.7     3.5     3.5 1
-1940 11 12     4.9     4.6     4.6 1
-1940 11 13     6.5     6.2     6.2 1
-1940 11 14     5.5     5.2     5.2 1
-1940 11 15     5.4     5.1     5.1 1
-1940 11 16     3.8     3.5     3.5 1
-1940 11 17     2.8     2.5     2.5 1
-1940 11 18     4.0     3.7     3.7 1
-1940 11 19     4.8     4.5     4.5 1
-1940 11 20     4.6     4.3     4.3 1
-1940 11 21     5.6     5.3     5.3 1
-1940 11 22     5.7     5.4     5.4 1
-1940 11 23     3.2     2.9     2.9 1
-1940 11 24     5.6     5.3     5.3 1
-1940 11 25     5.5     5.2     5.2 1
-1940 11 26     9.7     9.4     9.4 1
-1940 11 27     8.5     8.2     8.2 1
-1940 11 28    -1.6    -1.9    -1.9 1
-1940 11 29    -2.1    -2.4    -2.4 1
-1940 11 30    -2.4    -2.7    -2.7 1
-1940 12  1     4.9     4.6     4.6 1
-1940 12  2     4.0     3.7     3.7 1
-1940 12  3     2.1     1.8     1.8 1
-1940 12  4     0.4     0.1     0.1 1
-1940 12  5     3.3     3.0     3.0 1
-1940 12  6     1.8     1.5     1.5 1
-1940 12  7     1.8     1.5     1.5 1
-1940 12  8     0.6     0.3     0.3 1
-1940 12  9    -3.0    -3.3    -3.3 1
-1940 12 10    -3.0    -3.3    -3.3 1
-1940 12 11    -0.2    -0.5    -0.5 1
-1940 12 12    -3.4    -3.7    -3.7 1
-1940 12 13    -5.8    -6.1    -6.1 1
-1940 12 14    -6.5    -6.8    -6.8 1
-1940 12 15    -5.0    -5.3    -5.3 1
-1940 12 16    -3.2    -3.5    -3.5 1
-1940 12 17    -1.2    -1.5    -1.5 1
-1940 12 18    -0.6    -1.0    -1.0 1
-1940 12 19    -1.5    -1.9    -1.9 1
-1940 12 20    -3.1    -3.5    -3.5 1
-1940 12 21    -3.6    -4.0    -4.0 1
-1940 12 22    -3.2    -3.6    -3.6 1
-1940 12 23    -2.3    -2.7    -2.7 1
-1940 12 24    -3.4    -3.8    -3.8 1
-1940 12 25    -5.5    -5.9    -5.9 1
-1940 12 26    -2.9    -3.3    -3.3 1
-1940 12 27    -4.1    -4.5    -4.5 1
-1940 12 28    -1.9    -2.3    -2.3 1
-1940 12 29    -2.2    -2.6    -2.6 1
-1940 12 30   -10.4   -10.8   -10.8 1
-1940 12 31   -14.3   -14.8   -14.8 1
-1941  1  1   -14.7   -15.2   -15.2 1
-1941  1  2   -15.3   -15.8   -15.8 1
-1941  1  3   -13.8   -14.3   -14.3 1
-1941  1  4   -10.8   -11.3   -11.3 1
-1941  1  5    -7.7    -8.2    -8.2 1
-1941  1  6    -7.2    -7.7    -7.7 1
-1941  1  7    -6.1    -6.6    -6.6 1
-1941  1  8    -4.4    -4.9    -4.9 1
-1941  1  9    -4.4    -4.9    -4.9 1
-1941  1 10     2.2     1.7     1.7 1
-1941  1 11    -4.1    -4.7    -4.7 1
-1941  1 12    -9.2    -9.8    -9.8 1
-1941  1 13    -7.5    -8.1    -8.1 1
-1941  1 14    -7.7    -8.3    -8.3 1
-1941  1 15   -12.1   -12.7   -12.7 1
-1941  1 16   -10.4   -11.0   -11.0 1
-1941  1 17    -6.8    -7.4    -7.4 1
-1941  1 18   -12.0   -12.6   -12.6 1
-1941  1 19   -17.5   -18.1   -18.1 1
-1941  1 20   -12.0   -12.6   -12.6 1
-1941  1 21   -11.9   -12.5   -12.5 1
-1941  1 22   -10.0   -10.6   -10.6 1
-1941  1 23    -7.3    -7.9    -7.9 1
-1941  1 24   -10.9   -11.5   -11.5 1
-1941  1 25   -15.5   -16.1   -16.1 1
-1941  1 26   -16.5   -17.1   -17.1 1
-1941  1 27   -16.9   -17.5   -17.5 1
-1941  1 28   -14.0   -14.6   -14.6 1
-1941  1 29   -14.7   -15.3   -15.3 1
-1941  1 30   -13.5   -14.1   -14.1 1
-1941  1 31    -8.9    -9.5    -9.5 1
-1941  2  1    -7.2    -7.8    -7.8 1
-1941  2  2    -7.9    -8.5    -8.5 1
-1941  2  3   -10.5   -11.1   -11.1 1
-1941  2  4   -11.0   -11.6   -11.6 1
-1941  2  5   -13.4   -14.0   -14.0 1
-1941  2  6   -10.5   -11.1   -11.1 1
-1941  2  7   -11.9   -12.5   -12.5 1
-1941  2  8    -5.8    -6.4    -6.4 1
-1941  2  9    -1.4    -2.0    -2.0 1
-1941  2 10     1.7     1.1     1.1 1
-1941  2 11    -1.3    -1.9    -1.9 1
-1941  2 12    -5.7    -6.3    -6.3 1
-1941  2 13    -9.5   -10.1   -10.1 1
-1941  2 14    -7.6    -8.2    -8.2 1
-1941  2 15    -5.5    -6.1    -6.1 1
-1941  2 16    -8.1    -8.7    -8.7 1
-1941  2 17    -8.8    -9.4    -9.4 1
-1941  2 18    -5.7    -6.3    -6.3 1
-1941  2 19    -3.3    -3.9    -3.9 1
-1941  2 20    -0.7    -1.3    -1.3 1
-1941  2 21    -0.2    -0.8    -0.8 1
-1941  2 22    -4.8    -5.4    -5.4 1
-1941  2 23    -4.5    -5.1    -5.1 1
-1941  2 24    -4.9    -5.5    -5.5 1
-1941  2 25    -5.8    -6.4    -6.4 1
-1941  2 26    -8.5    -9.1    -9.1 1
-1941  2 27    -3.3    -3.9    -3.9 1
-1941  2 28    -2.7    -3.3    -3.3 1
-1941  3  1     1.8     1.2     1.2 1
-1941  3  2     1.5     0.9     0.9 1
-1941  3  3    -4.6    -5.2    -5.2 1
-1941  3  4    -3.2    -3.8    -3.8 1
-1941  3  5    -3.0    -3.6    -3.6 1
-1941  3  6     0.2    -0.4    -0.4 1
-1941  3  7     1.2     0.6     0.6 1
-1941  3  8    -0.4    -1.0    -1.0 1
-1941  3  9    -2.3    -2.9    -2.9 1
-1941  3 10    -1.2    -1.8    -1.8 1
-1941  3 11    -1.1    -1.7    -1.7 1
-1941  3 12    -2.3    -2.9    -2.9 1
-1941  3 13     2.8     2.2     2.2 1
-1941  3 14     4.5     3.8     3.8 1
-1941  3 15     3.2     2.5     2.5 1
-1941  3 16     1.2     0.5     0.5 1
-1941  3 17    -5.1    -5.7    -5.7 1
-1941  3 18     0.9     0.3     0.3 1
-1941  3 19    -1.0    -1.6    -1.6 1
-1941  3 20    -2.7    -3.3    -3.3 1
-1941  3 21    -0.1    -0.7    -0.7 1
-1941  3 22    -6.2    -6.8    -6.8 1
-1941  3 23    -8.8    -9.4    -9.4 1
-1941  3 24    -9.0    -9.6    -9.6 1
-1941  3 25    -8.0    -8.6    -8.6 1
-1941  3 26    -7.5    -8.1    -8.1 1
-1941  3 27    -8.3    -8.9    -8.9 1
-1941  3 28    -8.0    -8.6    -8.6 1
-1941  3 29    -5.7    -6.3    -6.3 1
-1941  3 30    -2.8    -3.4    -3.4 1
-1941  3 31    -2.7    -3.3    -3.3 1
-1941  4  1    -0.4    -1.0    -1.0 1
-1941  4  2    -5.9    -6.5    -6.5 1
-1941  4  3    -5.5    -6.1    -6.1 1
-1941  4  4    -3.3    -3.9    -3.9 1
-1941  4  5    -0.1    -0.7    -0.7 1
-1941  4  6    -0.5    -1.0    -1.0 1
-1941  4  7    -0.5    -1.0    -1.0 1
-1941  4  8    -0.6    -1.1    -1.1 1
-1941  4  9    -0.1    -0.6    -0.6 1
-1941  4 10    -0.2    -0.7    -0.7 1
-1941  4 11     2.0     1.5     1.5 1
-1941  4 12     1.6     1.1     1.1 1
-1941  4 13     3.0     2.5     2.5 1
-1941  4 14     4.4     3.9     3.9 1
-1941  4 15     3.1     2.6     2.6 1
-1941  4 16     3.0     2.5     2.5 1
-1941  4 17     4.5     4.0     4.0 1
-1941  4 18     5.7     5.2     5.2 1
-1941  4 19     4.2     3.6     3.6 1
-1941  4 20     3.3     2.7     2.7 1
-1941  4 21     1.5     0.9     0.9 1
-1941  4 22     1.0     0.4     0.4 1
-1941  4 23     1.4     0.8     0.8 1
-1941  4 24     2.6     2.0     2.0 1
-1941  4 25     2.5     1.8     1.8 1
-1941  4 26     2.2     1.5     1.5 1
-1941  4 27     3.0     2.3     2.3 1
-1941  4 28     4.5     3.8     3.8 1
-1941  4 29     7.8     7.1     7.1 1
-1941  4 30     8.8     8.1     8.1 1
-1941  5  1     4.4     3.7     3.7 1
-1941  5  2     1.0     0.2     0.2 1
-1941  5  3     1.7     0.9     0.9 1
-1941  5  4     6.3     5.5     5.5 1
-1941  5  5     6.0     5.2     5.2 1
-1941  5  6     1.0     0.2     0.2 1
-1941  5  7     1.3     0.5     0.5 1
-1941  5  8     1.3     0.5     0.5 1
-1941  5  9     2.2     1.3     1.3 1
-1941  5 10     4.1     3.2     3.2 1
-1941  5 11     6.8     5.9     5.9 1
-1941  5 12    11.4    10.5    10.5 1
-1941  5 13     7.2     6.3     6.3 1
-1941  5 14     5.6     4.7     4.7 1
-1941  5 15     5.6     4.7     4.7 1
-1941  5 16     5.3     4.4     4.4 1
-1941  5 17     3.7     2.8     2.8 1
-1941  5 18     6.7     5.8     5.8 1
-1941  5 19     7.8     6.9     6.9 1
-1941  5 20     9.5     8.6     8.6 1
-1941  5 21    12.2    11.3    11.3 1
-1941  5 22    13.2    12.3    12.3 1
-1941  5 23    13.4    12.5    12.5 1
-1941  5 24    14.3    13.4    13.4 1
-1941  5 25    16.2    15.3    15.3 1
-1941  5 26    17.1    16.2    16.2 1
-1941  5 27    19.1    18.2    18.2 1
-1941  5 28    18.8    17.9    17.9 1
-1941  5 29    16.7    15.8    15.8 1
-1941  5 30    14.4    13.6    13.6 1
-1941  5 31    14.6    13.8    13.8 1
-1941  6  1    12.3    11.5    11.5 1
-1941  6  2     9.4     8.6     8.6 1
-1941  6  3    13.3    12.5    12.5 1
-1941  6  4    17.1    16.3    16.3 1
-1941  6  5    10.3     9.5     9.5 1
-1941  6  6    10.7     9.9     9.9 1
-1941  6  7     7.0     6.2     6.2 1
-1941  6  8     8.0     7.2     7.2 1
-1941  6  9    10.8    10.0    10.0 1
-1941  6 10    13.2    12.4    12.4 1
-1941  6 11    14.1    13.3    13.3 1
-1941  6 12    14.5    13.7    13.7 1
-1941  6 13    11.9    11.1    11.1 1
-1941  6 14    14.1    13.4    13.4 1
-1941  6 15    14.3    13.6    13.6 1
-1941  6 16    14.5    13.8    13.8 1
-1941  6 17    16.7    16.0    16.0 1
-1941  6 18    18.9    18.2    18.2 1
-1941  6 19    14.9    14.2    14.2 1
-1941  6 20    15.2    14.5    14.5 1
-1941  6 21    19.7    19.0    19.0 1
-1941  6 22    19.9    19.2    19.2 1
-1941  6 23    18.5    17.8    17.8 1
-1941  6 24    16.3    15.6    15.6 1
-1941  6 25    16.6    15.9    15.9 1
-1941  6 26    21.2    20.5    20.5 1
-1941  6 27    20.7    20.0    20.0 1
-1941  6 28    14.3    13.6    13.6 1
-1941  6 29    16.4    15.7    15.7 1
-1941  6 30    14.3    13.6    13.6 1
-1941  7  1    16.9    16.2    16.2 1
-1941  7  2    19.0    18.3    18.3 1
-1941  7  3    18.8    18.1    18.1 1
-1941  7  4    18.1    17.4    17.4 1
-1941  7  5    15.3    14.6    14.6 1
-1941  7  6    16.8    16.1    16.1 1
-1941  7  7    20.0    19.3    19.3 1
-1941  7  8    24.5    23.8    23.8 1
-1941  7  9    24.6    23.9    23.9 1
-1941  7 10    24.5    23.8    23.8 1
-1941  7 11    25.1    24.4    24.4 1
-1941  7 12    26.0    25.3    25.3 1
-1941  7 13    25.6    24.9    24.9 1
-1941  7 14    24.5    23.8    23.8 1
-1941  7 15    19.7    19.0    19.0 1
-1941  7 16    16.3    15.6    15.6 1
-1941  7 17    15.9    15.2    15.2 1
-1941  7 18    16.3    15.6    15.6 1
-1941  7 19    17.6    16.9    16.9 1
-1941  7 20    18.8    18.1    18.1 1
-1941  7 21    18.2    17.6    17.6 1
-1941  7 22    18.3    17.7    17.7 1
-1941  7 23    17.7    17.1    17.1 1
-1941  7 24    19.0    18.4    18.4 1
-1941  7 25    19.8    19.2    19.2 1
-1941  7 26    21.5    20.9    20.9 1
-1941  7 27    22.9    22.3    22.3 1
-1941  7 28    22.6    22.0    22.0 1
-1941  7 29    22.9    22.3    22.3 1
-1941  7 30    23.2    22.6    22.6 1
-1941  7 31    24.3    23.7    23.7 1
-1941  8  1    24.5    23.9    23.9 1
-1941  8  2    24.3    23.7    23.7 1
-1941  8  3    21.5    21.0    21.0 1
-1941  8  4    19.3    18.8    18.8 1
-1941  8  5    19.2    18.7    18.7 1
-1941  8  6    16.2    15.7    15.7 1
-1941  8  7    15.2    14.7    14.7 1
-1941  8  8    14.6    14.1    14.1 1
-1941  8  9    14.1    13.6    13.6 1
-1941  8 10    15.8    15.3    15.3 1
-1941  8 11    15.7    15.2    15.2 1
-1941  8 12    16.0    15.5    15.5 1
-1941  8 13    15.3    14.8    14.8 1
-1941  8 14    14.8    14.3    14.3 1
-1941  8 15    15.7    15.2    15.2 1
-1941  8 16    16.5    16.1    16.1 1
-1941  8 17    17.7    17.3    17.3 1
-1941  8 18    16.4    16.0    16.0 1
-1941  8 19    17.2    16.8    16.8 1
-1941  8 20    16.0    15.6    15.6 1
-1941  8 21    15.7    15.3    15.3 1
-1941  8 22    11.3    10.9    10.9 1
-1941  8 23    13.1    12.7    12.7 1
-1941  8 24    14.1    13.7    13.7 1
-1941  8 25    13.2    12.9    12.9 1
-1941  8 26    12.7    12.4    12.4 1
-1941  8 27    12.0    11.7    11.7 1
-1941  8 28    12.3    12.0    12.0 1
-1941  8 29    13.4    13.1    13.1 1
-1941  8 30    12.8    12.5    12.5 1
-1941  8 31    12.1    11.8    11.8 1
-1941  9  1    10.8    10.5    10.5 1
-1941  9  2    10.9    10.7    10.7 1
-1941  9  3    12.6    12.4    12.4 1
-1941  9  4    14.1    13.9    13.9 1
-1941  9  5    12.9    12.7    12.7 1
-1941  9  6    11.3    11.1    11.1 1
-1941  9  7     8.5     8.3     8.3 1
-1941  9  8     9.4     9.2     9.2 1
-1941  9  9    10.1     9.9     9.9 1
-1941  9 10    10.7    10.5    10.5 1
-1941  9 11    11.5    11.4    11.4 1
-1941  9 12    12.2    12.1    12.1 1
-1941  9 13    10.9    10.8    10.8 1
-1941  9 14     9.5     9.4     9.4 1
-1941  9 15     8.0     7.9     7.9 1
-1941  9 16    11.8    11.7    11.7 1
-1941  9 17    13.7    13.6    13.6 1
-1941  9 18    12.4    12.3    12.3 1
-1941  9 19    11.1    11.0    11.0 1
-1941  9 20    14.2    14.1    14.1 1
-1941  9 21    13.0    12.9    12.9 1
-1941  9 22    13.3    13.2    13.2 1
-1941  9 23    12.5    12.4    12.4 1
-1941  9 24    11.1    11.0    11.0 1
-1941  9 25    10.9    10.8    10.8 1
-1941  9 26     8.9     8.8     8.8 1
-1941  9 27     8.5     8.4     8.4 1
-1941  9 28     9.2     9.1     9.1 1
-1941  9 29     8.9     8.8     8.8 1
-1941  9 30    10.4    10.3    10.3 1
-1941 10  1    11.2    11.1    11.1 1
-1941 10  2    11.6    11.5    11.5 1
-1941 10  3    13.1    13.0    13.0 1
-1941 10  4    10.1    10.0    10.0 1
-1941 10  5    10.7    10.6    10.6 1
-1941 10  6    11.1    11.0    11.0 1
-1941 10  7    11.5    11.4    11.4 1
-1941 10  8    10.4    10.3    10.3 1
-1941 10  9     2.8     2.7     2.7 1
-1941 10 10     2.2     2.1     2.1 1
-1941 10 11     1.4     1.3     1.3 1
-1941 10 12     3.5     3.4     3.4 1
-1941 10 13     4.0     3.9     3.9 1
-1941 10 14     4.8     4.7     4.7 1
-1941 10 15     2.0     1.9     1.9 1
-1941 10 16     3.8     3.7     3.7 1
-1941 10 17     6.7     6.6     6.6 1
-1941 10 18     7.4     7.3     7.3 1
-1941 10 19     6.0     5.9     5.9 1
-1941 10 20     7.3     7.2     7.2 1
-1941 10 21     5.3     5.2     5.2 1
-1941 10 22     2.9     2.8     2.8 1
-1941 10 23     2.7     2.6     2.6 1
-1941 10 24     2.9     2.8     2.8 1
-1941 10 25     2.4     2.3     2.3 1
-1941 10 26     2.4     2.3     2.3 1
-1941 10 27    -2.3    -2.5    -2.5 1
-1941 10 28    -2.8    -3.0    -3.0 1
-1941 10 29     0.5     0.3     0.3 1
-1941 10 30     0.9     0.7     0.7 1
-1941 10 31    -1.2    -1.4    -1.4 1
-1941 11  1    -1.6    -1.8    -1.8 1
-1941 11  2    -2.8    -3.0    -3.0 1
-1941 11  3     0.1    -0.1    -0.1 1
-1941 11  4     2.3     2.1     2.1 1
-1941 11  5     1.2     1.0     1.0 1
-1941 11  6     3.0     2.8     2.8 1
-1941 11  7     2.8     2.6     2.6 1
-1941 11  8     0.3     0.1     0.1 1
-1941 11  9    -2.4    -2.6    -2.6 1
-1941 11 10    -0.7    -0.9    -0.9 1
-1941 11 11     0.3     0.0     0.0 1
-1941 11 12    -1.1    -1.4    -1.4 1
-1941 11 13    -0.7    -1.0    -1.0 1
-1941 11 14    -1.0    -1.3    -1.3 1
-1941 11 15    -1.8    -2.1    -2.1 1
-1941 11 16     0.9     0.6     0.6 1
-1941 11 17     2.0     1.7     1.7 1
-1941 11 18     1.6     1.3     1.3 1
-1941 11 19     1.2     0.9     0.9 1
-1941 11 20     3.0     2.7     2.7 1
-1941 11 21     2.2     1.9     1.9 1
-1941 11 22     3.4     3.1     3.1 1
-1941 11 23     2.1     1.8     1.8 1
-1941 11 24     1.4     1.1     1.1 1
-1941 11 25     2.5     2.2     2.2 1
-1941 11 26     3.7     3.4     3.4 1
-1941 11 27     3.0     2.7     2.7 1
-1941 11 28     2.6     2.3     2.3 1
-1941 11 29     2.8     2.5     2.5 1
-1941 11 30    -0.2    -0.5    -0.5 1
-1941 12  1    -1.6    -1.9    -1.9 1
-1941 12  2    -3.3    -3.6    -3.6 1
-1941 12  3     0.7     0.4     0.4 1
-1941 12  4    -0.4    -0.7    -0.7 1
-1941 12  5    -0.9    -1.2    -1.2 1
-1941 12  6    -0.3    -0.6    -0.6 1
-1941 12  7     2.5     2.2     2.2 1
-1941 12  8    -3.7    -4.0    -4.0 1
-1941 12  9    -5.3    -5.6    -5.6 1
-1941 12 10     1.9     1.6     1.6 1
-1941 12 11     6.1     5.8     5.8 1
-1941 12 12    -6.0    -6.3    -6.3 1
-1941 12 13    -3.0    -3.3    -3.3 1
-1941 12 14    -5.8    -6.1    -6.1 1
-1941 12 15    -2.0    -2.3    -2.3 1
-1941 12 16     0.5     0.2     0.2 1
-1941 12 17     2.2     1.8     1.8 1
-1941 12 18    -3.4    -3.8    -3.8 1
-1941 12 19    -3.8    -4.2    -4.2 1
-1941 12 20    -0.5    -0.9    -0.9 1
-1941 12 21     3.0     2.6     2.6 1
-1941 12 22     3.7     3.3     3.3 1
-1941 12 23    -2.8    -3.2    -3.2 1
-1941 12 24    -3.9    -4.3    -4.3 1
-1941 12 25    -7.5    -7.9    -7.9 1
-1941 12 26    -8.5    -8.9    -8.9 1
-1941 12 27   -10.1   -10.5   -10.5 1
-1941 12 28   -11.1   -11.5   -11.5 1
-1941 12 29    -4.7    -5.1    -5.1 1
-1941 12 30    -3.5    -4.0    -4.0 1
-1941 12 31    -2.6    -3.1    -3.1 1
-1942  1  1    -0.6    -1.1    -1.1 1
-1942  1  2     0.3    -0.2    -0.2 1
-1942  1  3    -2.7    -3.2    -3.2 1
-1942  1  4     1.1     0.6     0.6 1
-1942  1  5    -6.1    -6.6    -6.6 1
-1942  1  6    -9.3    -9.8    -9.8 1
-1942  1  7    -7.0    -7.5    -7.5 1
-1942  1  8    -7.4    -7.9    -7.9 1
-1942  1  9    -8.9    -9.4    -9.4 1
-1942  1 10    -9.7   -10.3   -10.3 1
-1942  1 11   -10.6   -11.2   -11.2 1
-1942  1 12   -13.6   -14.2   -14.2 1
-1942  1 13    -8.7    -9.3    -9.3 1
-1942  1 14    -7.9    -8.5    -8.5 1
-1942  1 15    -8.8    -9.4    -9.4 1
-1942  1 16    -8.9    -9.5    -9.5 1
-1942  1 17    -5.9    -6.5    -6.5 1
-1942  1 18    -8.0    -8.6    -8.6 1
-1942  1 19   -14.2   -14.8   -14.8 1
-1942  1 20   -13.4   -14.0   -14.0 1
-1942  1 21   -19.3   -19.9   -19.9 1
-1942  1 22   -15.8   -16.4   -16.4 1
-1942  1 23   -14.4   -15.0   -15.0 1
-1942  1 24   -19.8   -20.4   -20.4 1
-1942  1 25   -23.7   -24.3   -24.3 1
-1942  1 26   -12.6   -13.2   -13.2 1
-1942  1 27   -16.0   -16.6   -16.6 1
-1942  1 28   -13.7   -14.3   -14.3 1
-1942  1 29   -15.1   -15.7   -15.7 1
-1942  1 30   -17.2   -17.8   -17.8 1
-1942  1 31   -11.0   -11.6   -11.6 1
-1942  2  1    -9.6   -10.2   -10.2 1
-1942  2  2   -12.4   -13.0   -13.0 1
-1942  2  3   -10.1   -10.7   -10.7 1
-1942  2  4    -6.9    -7.5    -7.5 1
-1942  2  5    -9.7   -10.3   -10.3 1
-1942  2  6   -12.0   -12.6   -12.6 1
-1942  2  7   -16.9   -17.5   -17.5 1
-1942  2  8   -10.9   -11.5   -11.5 1
-1942  2  9   -10.1   -10.7   -10.7 1
-1942  2 10   -10.6   -11.2   -11.2 1
-1942  2 11   -11.4   -12.0   -12.0 1
-1942  2 12    -8.5    -9.1    -9.1 1
-1942  2 13    -2.2    -2.8    -2.8 1
-1942  2 14    -7.3    -7.9    -7.9 1
-1942  2 15    -8.0    -8.6    -8.6 1
-1942  2 16    -9.9   -10.5   -10.5 1
-1942  2 17   -10.3   -10.9   -10.9 1
-1942  2 18   -11.4   -12.0   -12.0 1
-1942  2 19   -10.7   -11.3   -11.3 1
-1942  2 20   -13.3   -13.9   -13.9 1
-1942  2 21   -13.2   -13.8   -13.8 1
-1942  2 22   -12.6   -13.2   -13.2 1
-1942  2 23   -11.0   -11.6   -11.6 1
-1942  2 24   -10.2   -10.8   -10.8 1
-1942  2 25   -12.6   -13.2   -13.2 1
-1942  2 26   -12.7   -13.3   -13.3 1
-1942  2 27   -12.8   -13.4   -13.4 1
-1942  2 28    -6.5    -7.1    -7.1 1
-1942  3  1    -1.8    -2.4    -2.4 1
-1942  3  2    -3.5    -4.1    -4.1 1
-1942  3  3    -5.5    -6.1    -6.1 1
-1942  3  4   -15.7   -16.3   -16.3 1
-1942  3  5   -16.3   -16.9   -16.9 1
-1942  3  6   -10.2   -10.8   -10.8 1
-1942  3  7    -7.2    -7.8    -7.8 1
-1942  3  8    -5.1    -5.7    -5.7 1
-1942  3  9    -5.3    -5.9    -5.9 1
-1942  3 10    -9.0    -9.7    -9.7 1
-1942  3 11   -13.8   -14.5   -14.5 1
-1942  3 12   -13.5   -14.2   -14.2 1
-1942  3 13   -11.7   -12.4   -12.4 1
-1942  3 14   -10.2   -10.9   -10.9 1
-1942  3 15   -13.3   -14.0   -14.0 1
-1942  3 16    -9.1    -9.8    -9.8 1
-1942  3 17   -11.8   -12.5   -12.5 1
-1942  3 18   -12.3   -13.0   -13.0 1
-1942  3 19   -12.4   -13.0   -13.0 1
-1942  3 20    -9.3    -9.9    -9.9 1
-1942  3 21    -6.2    -6.8    -6.8 1
-1942  3 22    -3.0    -3.6    -3.6 1
-1942  3 23     0.9     0.3     0.3 1
-1942  3 24     4.8     4.2     4.2 1
-1942  3 25     4.6     4.0     4.0 1
-1942  3 26     2.0     1.4     1.4 1
-1942  3 27    -2.6    -3.2    -3.2 1
-1942  3 28    -3.9    -4.5    -4.5 1
-1942  3 29    -0.5    -1.1    -1.1 1
-1942  3 30    -0.7    -1.3    -1.3 1
-1942  3 31    -1.5    -2.1    -2.1 1
-1942  4  1    -2.6    -3.2    -3.2 1
-1942  4  2    -4.9    -5.5    -5.5 1
-1942  4  3    -7.1    -7.7    -7.7 1
-1942  4  4    -4.6    -5.2    -5.2 1
-1942  4  5    -3.0    -3.6    -3.6 1
-1942  4  6     0.3    -0.3    -0.3 1
-1942  4  7     3.6     3.0     3.0 1
-1942  4  8     4.1     3.6     3.6 1
-1942  4  9     5.4     4.9     4.9 1
-1942  4 10     3.8     3.3     3.3 1
-1942  4 11     4.1     3.6     3.6 1
-1942  4 12     3.4     2.9     2.9 1
-1942  4 13     4.9     4.4     4.4 1
-1942  4 14     4.1     3.6     3.6 1
-1942  4 15     5.9     5.4     5.4 1
-1942  4 16    10.2     9.7     9.7 1
-1942  4 17    12.1    11.6    11.6 1
-1942  4 18    12.3    11.7    11.7 1
-1942  4 19     8.5     7.9     7.9 1
-1942  4 20     9.1     8.5     8.5 1
-1942  4 21     8.1     7.5     7.5 1
-1942  4 22    10.7    10.1    10.1 1
-1942  4 23     4.6     4.0     4.0 1
-1942  4 24     2.2     1.6     1.6 1
-1942  4 25     6.3     5.6     5.6 1
-1942  4 26     4.7     4.0     4.0 1
-1942  4 27     4.1     3.4     3.4 1
-1942  4 28     5.6     4.9     4.9 1
-1942  4 29     7.7     7.0     7.0 1
-1942  4 30     8.6     7.9     7.9 1
-1942  5  1     8.0     7.2     7.2 1
-1942  5  2     6.9     6.1     6.1 1
-1942  5  3     1.6     0.8     0.8 1
-1942  5  4     0.5    -0.3    -0.3 1
-1942  5  5     4.7     3.9     3.9 1
-1942  5  6     1.8     1.0     1.0 1
-1942  5  7     2.5     1.7     1.7 1
-1942  5  8     5.4     4.5     4.5 1
-1942  5  9     8.4     7.5     7.5 1
-1942  5 10     9.5     8.6     8.6 1
-1942  5 11     7.5     6.6     6.6 1
-1942  5 12     6.4     5.5     5.5 1
-1942  5 13     5.6     4.7     4.7 1
-1942  5 14     8.9     8.0     8.0 1
-1942  5 15    11.0    10.0    10.0 1
-1942  5 16    11.8    10.8    10.8 1
-1942  5 17     8.8     7.8     7.8 1
-1942  5 18     6.9     6.0     6.0 1
-1942  5 19     6.9     6.0     6.0 1
-1942  5 20     7.2     6.3     6.3 1
-1942  5 21     6.7     5.8     5.8 1
-1942  5 22    11.0    10.1    10.1 1
-1942  5 23    13.0    12.1    12.1 1
-1942  5 24    14.0    13.1    13.1 1
-1942  5 25    11.8    10.9    10.9 1
-1942  5 26    13.0    12.1    12.1 1
-1942  5 27     8.6     7.7     7.7 1
-1942  5 28    12.1    11.2    11.2 1
-1942  5 29    15.0    14.1    14.1 1
-1942  5 30    10.9    10.0    10.0 1
-1942  5 31    12.8    11.9    11.9 1
-1942  6  1    13.6    12.8    12.8 1
-1942  6  2    11.5    10.7    10.7 1
-1942  6  3    15.2    14.4    14.4 1
-1942  6  4    15.5    14.7    14.7 1
-1942  6  5    13.4    12.6    12.6 1
-1942  6  6    12.1    11.3    11.3 1
-1942  6  7    10.4     9.6     9.6 1
-1942  6  8    13.1    12.3    12.3 1
-1942  6  9    10.0     9.2     9.2 1
-1942  6 10    11.2    10.4    10.4 1
-1942  6 11    10.0     9.2     9.2 1
-1942  6 12     9.2     8.4     8.4 1
-1942  6 13    11.8    11.0    11.0 1
-1942  6 14    11.0    10.2    10.2 1
-1942  6 15    11.8    11.0    11.0 1
-1942  6 16    14.2    13.4    13.4 1
-1942  6 17    15.5    14.8    14.8 1
-1942  6 18    14.6    13.9    13.9 1
-1942  6 19    11.2    10.5    10.5 1
-1942  6 20    10.5     9.8     9.8 1
-1942  6 21     8.8     8.1     8.1 1
-1942  6 22    14.6    13.9    13.9 1
-1942  6 23    18.0    17.3    17.3 1
-1942  6 24    18.3    17.6    17.6 1
-1942  6 25    13.8    13.1    13.1 1
-1942  6 26    12.4    11.7    11.7 1
-1942  6 27    11.8    11.1    11.1 1
-1942  6 28    14.3    13.6    13.6 1
-1942  6 29    17.6    16.9    16.9 1
-1942  6 30    14.4    13.7    13.7 1
-1942  7  1    14.0    13.3    13.3 1
-1942  7  2    14.1    13.4    13.4 1
-1942  7  3    15.5    14.8    14.8 1
-1942  7  4    18.6    17.9    17.9 1
-1942  7  5    20.3    19.6    19.6 1
-1942  7  6    22.3    21.6    21.6 1
-1942  7  7    20.7    20.0    20.0 1
-1942  7  8    18.7    18.0    18.0 1
-1942  7  9    16.6    15.9    15.9 1
-1942  7 10    16.2    15.5    15.5 1
-1942  7 11    16.5    15.8    15.8 1
-1942  7 12    14.4    13.7    13.7 1
-1942  7 13    16.8    16.1    16.1 1
-1942  7 14    18.0    17.3    17.3 1
-1942  7 15    16.2    15.5    15.5 1
-1942  7 16    17.1    16.4    16.4 1
-1942  7 17    16.2    15.5    15.5 1
-1942  7 18    14.8    14.1    14.1 1
-1942  7 19    13.5    12.8    12.8 1
-1942  7 20    15.0    14.3    14.3 1
-1942  7 21    17.9    17.2    17.2 1
-1942  7 22    14.6    13.9    13.9 1
-1942  7 23    16.4    15.8    15.8 1
-1942  7 24    15.3    14.7    14.7 1
-1942  7 25    16.5    15.9    15.9 1
-1942  7 26    15.8    15.2    15.2 1
-1942  7 27    15.6    15.0    15.0 1
-1942  7 28    15.2    14.6    14.6 1
-1942  7 29    13.5    12.9    12.9 1
-1942  7 30    15.3    14.7    14.7 1
-1942  7 31    18.0    17.4    17.4 1
-1942  8  1    17.0    16.4    16.4 1
-1942  8  2    15.5    14.9    14.9 1
-1942  8  3    13.0    12.4    12.4 1
-1942  8  4    13.7    13.1    13.1 1
-1942  8  5    12.8    12.3    12.3 1
-1942  8  6    13.5    13.0    13.0 1
-1942  8  7    14.0    13.5    13.5 1
-1942  8  8    14.8    14.3    14.3 1
-1942  8  9    16.3    15.8    15.8 1
-1942  8 10    16.2    15.7    15.7 1
-1942  8 11    17.3    16.8    16.8 1
-1942  8 12    17.6    17.1    17.1 1
-1942  8 13    17.4    16.9    16.9 1
-1942  8 14    16.1    15.6    15.6 1
-1942  8 15    17.2    16.7    16.7 1
-1942  8 16    17.4    16.9    16.9 1
-1942  8 17    17.5    17.1    17.1 1
-1942  8 18    18.0    17.6    17.6 1
-1942  8 19    20.2    19.8    19.8 1
-1942  8 20    21.1    20.7    20.7 1
-1942  8 21    20.1    19.7    19.7 1
-1942  8 22    19.3    18.9    18.9 1
-1942  8 23    19.0    18.6    18.6 1
-1942  8 24    19.6    19.2    19.2 1
-1942  8 25    18.2    17.8    17.8 1
-1942  8 26    16.9    16.6    16.6 1
-1942  8 27    19.7    19.4    19.4 1
-1942  8 28    21.3    21.0    21.0 1
-1942  8 29    18.8    18.5    18.5 1
-1942  8 30    11.1    10.8    10.8 1
-1942  8 31    11.9    11.6    11.6 1
-1942  9  1    16.3    16.0    16.0 1
-1942  9  2    17.4    17.1    17.1 1
-1942  9  3    16.4    16.2    16.2 1
-1942  9  4    17.8    17.6    17.6 1
-1942  9  5    15.8    15.6    15.6 1
-1942  9  6    16.6    16.4    16.4 1
-1942  9  7    14.7    14.5    14.5 1
-1942  9  8    14.0    13.8    13.8 1
-1942  9  9    14.5    14.3    14.3 1
-1942  9 10    14.0    13.8    13.8 1
-1942  9 11    15.5    15.4    15.4 1
-1942  9 12    12.9    12.8    12.8 1
-1942  9 13    10.1    10.0    10.0 1
-1942  9 14     9.7     9.6     9.6 1
-1942  9 15    11.9    11.8    11.8 1
-1942  9 16    11.5    11.4    11.4 1
-1942  9 17    10.2    10.1    10.1 1
-1942  9 18     9.5     9.4     9.4 1
-1942  9 19     9.7     9.6     9.6 1
-1942  9 20     7.9     7.8     7.8 1
-1942  9 21     8.6     8.5     8.5 1
-1942  9 22    12.1    12.0    12.0 1
-1942  9 23    11.7    11.6    11.6 1
-1942  9 24    10.5    10.4    10.4 1
-1942  9 25    10.2    10.1    10.1 1
-1942  9 26    10.0     9.9     9.9 1
-1942  9 27     9.6     9.5     9.5 1
-1942  9 28     9.0     8.9     8.9 1
-1942  9 29    11.6    11.5    11.5 1
-1942  9 30    13.2    13.1    13.1 1
-1942 10  1    10.0     9.9     9.9 1
-1942 10  2    11.0    10.9    10.9 1
-1942 10  3     9.7     9.6     9.6 1
-1942 10  4     8.7     8.6     8.6 1
-1942 10  5    12.6    12.5    12.5 1
-1942 10  6    10.3    10.2    10.2 1
-1942 10  7     9.0     8.9     8.9 1
-1942 10  8    10.7    10.6    10.6 1
-1942 10  9    10.7    10.6    10.6 1
-1942 10 10     9.7     9.6     9.6 1
-1942 10 11     9.0     8.9     8.9 1
-1942 10 12     8.8     8.7     8.7 1
-1942 10 13     5.6     5.5     5.5 1
-1942 10 14     7.8     7.7     7.7 1
-1942 10 15     9.4     9.3     9.3 1
-1942 10 16     9.6     9.5     9.5 1
-1942 10 17     5.6     5.5     5.5 1
-1942 10 18     3.9     3.8     3.8 1
-1942 10 19     1.8     1.7     1.7 1
-1942 10 20     1.8     1.7     1.7 1
-1942 10 21     1.8     1.7     1.7 1
-1942 10 22     5.4     5.3     5.3 1
-1942 10 23     7.7     7.6     7.6 1
-1942 10 24     7.8     7.7     7.7 1
-1942 10 25     7.0     6.9     6.9 1
-1942 10 26     5.8     5.6     5.6 1
-1942 10 27     8.0     7.8     7.8 1
-1942 10 28     7.2     7.0     7.0 1
-1942 10 29     7.6     7.4     7.4 1
-1942 10 30     8.4     8.2     8.2 1
-1942 10 31     8.0     7.8     7.8 1
-1942 11  1     8.0     7.8     7.8 1
-1942 11  2     8.1     7.9     7.9 1
-1942 11  3     5.2     5.0     5.0 1
-1942 11  4     0.8     0.6     0.6 1
-1942 11  5     2.7     2.5     2.5 1
-1942 11  6     1.2     1.0     1.0 1
-1942 11  7     2.8     2.6     2.6 1
-1942 11  8     3.9     3.7     3.7 1
-1942 11  9     5.1     4.9     4.9 1
-1942 11 10     4.2     3.9     3.9 1
-1942 11 11     4.5     4.2     4.2 1
-1942 11 12     5.2     4.9     4.9 1
-1942 11 13     1.9     1.6     1.6 1
-1942 11 14     4.3     4.0     4.0 1
-1942 11 15     9.0     8.7     8.7 1
-1942 11 16     3.2     2.9     2.9 1
-1942 11 17     0.9     0.6     0.6 1
-1942 11 18     2.9     2.6     2.6 1
-1942 11 19     3.1     2.8     2.8 1
-1942 11 20     3.0     2.7     2.7 1
-1942 11 21    -0.3    -0.6    -0.6 1
-1942 11 22    -1.6    -1.9    -1.9 1
-1942 11 23    -3.0    -3.3    -3.3 1
-1942 11 24     0.9     0.6     0.6 1
-1942 11 25     6.1     5.8     5.8 1
-1942 11 26     3.6     3.3     3.3 1
-1942 11 27    -1.7    -2.0    -2.0 1
-1942 11 28    -4.1    -4.4    -4.4 1
-1942 11 29    -8.5    -8.8    -8.8 1
-1942 11 30    -7.9    -8.2    -8.2 1
-1942 12  1    -5.9    -6.2    -6.2 1
-1942 12  2    -7.8    -8.1    -8.1 1
-1942 12  3    -8.1    -8.4    -8.4 1
-1942 12  4    -6.0    -6.3    -6.3 1
-1942 12  5    -2.8    -3.1    -3.1 1
-1942 12  6    -0.5    -0.8    -0.8 1
-1942 12  7    -9.0    -9.3    -9.3 1
-1942 12  8     0.4     0.1     0.1 1
-1942 12  9    -0.2    -0.5    -0.5 1
-1942 12 10     4.2     3.9     3.9 1
-1942 12 11     3.2     2.9     2.9 1
-1942 12 12     4.7     4.4     4.4 1
-1942 12 13     4.1     3.8     3.8 1
-1942 12 14     4.2     3.9     3.9 1
-1942 12 15     1.3     1.0     1.0 1
-1942 12 16     1.0     0.6     0.6 1
-1942 12 17     1.7     1.3     1.3 1
-1942 12 18     2.4     2.0     2.0 1
-1942 12 19     2.7     2.3     2.3 1
-1942 12 20     2.7     2.3     2.3 1
-1942 12 21     2.6     2.2     2.2 1
-1942 12 22     3.3     2.9     2.9 1
-1942 12 23     4.2     3.8     3.8 1
-1942 12 24     3.5     3.1     3.1 1
-1942 12 25     4.4     4.0     4.0 1
-1942 12 26     4.4     4.0     4.0 1
-1942 12 27     1.9     1.5     1.5 1
-1942 12 28     1.1     0.6     0.6 1
-1942 12 29     1.0     0.5     0.5 1
-1942 12 30    -2.6    -3.1    -3.1 1
-1942 12 31    -9.3    -9.8    -9.8 1
-1943  1  1    -1.9    -2.4    -2.4 1
-1943  1  2    -2.7    -3.2    -3.2 1
-1943  1  3    -0.8    -1.3    -1.3 1
-1943  1  4    -3.8    -4.3    -4.3 1
-1943  1  5    -7.8    -8.3    -8.3 1
-1943  1  6    -6.6    -7.1    -7.1 1
-1943  1  7    -4.4    -4.9    -4.9 1
-1943  1  8    -4.3    -4.8    -4.8 1
-1943  1  9   -11.8   -12.4   -12.4 1
-1943  1 10   -13.2   -13.8   -13.8 1
-1943  1 11   -10.5   -11.1   -11.1 1
-1943  1 12    -5.0    -5.6    -5.6 1
-1943  1 13    -3.1    -3.7    -3.7 1
-1943  1 14    -1.2    -1.8    -1.8 1
-1943  1 15    -1.3    -1.9    -1.9 1
-1943  1 16     1.4     0.8     0.8 1
-1943  1 17    -3.2    -3.8    -3.8 1
-1943  1 18    -0.2    -0.8    -0.8 1
-1943  1 19    -0.1    -0.7    -0.7 1
-1943  1 20     0.1    -0.5    -0.5 1
-1943  1 21    -4.8    -5.4    -5.4 1
-1943  1 22    -2.3    -2.9    -2.9 1
-1943  1 23    -5.2    -5.8    -5.8 1
-1943  1 24    -5.6    -6.2    -6.2 1
-1943  1 25    -6.6    -7.2    -7.2 1
-1943  1 26    -2.1    -2.7    -2.7 1
-1943  1 27     0.8     0.2     0.2 1
-1943  1 28     0.2    -0.4    -0.4 1
-1943  1 29     2.4     1.8     1.8 1
-1943  1 30     2.5     1.9     1.9 1
-1943  1 31     2.2     1.6     1.6 1
-1943  2  1     3.0     2.4     2.4 1
-1943  2  2     3.4     2.8     2.8 1
-1943  2  3     2.4     1.8     1.8 1
-1943  2  4     1.2     0.6     0.6 1
-1943  2  5     1.9     1.3     1.3 1
-1943  2  6     1.9     1.3     1.3 1
-1943  2  7     0.2    -0.4    -0.4 1
-1943  2  8    -4.5    -5.1    -5.1 1
-1943  2  9    -0.8    -1.4    -1.4 1
-1943  2 10     0.6     0.0     0.0 1
-1943  2 11    -0.6    -1.2    -1.2 1
-1943  2 12     5.2     4.6     4.6 1
-1943  2 13     1.0     0.4     0.4 1
-1943  2 14    -3.3    -3.9    -3.9 1
-1943  2 15    -0.1    -0.7    -0.7 1
-1943  2 16    -1.7    -2.3    -2.3 1
-1943  2 17    -2.1    -2.7    -2.7 1
-1943  2 18     4.4     3.8     3.8 1
-1943  2 19     3.0     2.4     2.4 1
-1943  2 20     4.2     3.6     3.6 1
-1943  2 21     1.7     1.1     1.1 1
-1943  2 22     5.1     4.5     4.5 1
-1943  2 23     1.7     1.1     1.1 1
-1943  2 24     4.7     4.1     4.1 1
-1943  2 25     3.5     2.9     2.9 1
-1943  2 26     4.3     3.7     3.7 1
-1943  2 27     5.9     5.3     5.3 1
-1943  2 28     7.6     7.0     7.0 1
-1943  3  1     3.0     2.4     2.4 1
-1943  3  2     3.2     2.6     2.6 1
-1943  3  3    -0.7    -1.3    -1.3 1
-1943  3  4     1.7     1.1     1.1 1
-1943  3  5     1.7     1.1     1.1 1
-1943  3  6     1.4     0.8     0.8 1
-1943  3  7     3.7     3.0     3.0 1
-1943  3  8     1.5     0.8     0.8 1
-1943  3  9     3.7     3.0     3.0 1
-1943  3 10     4.1     3.4     3.4 1
-1943  3 11     6.6     5.9     5.9 1
-1943  3 12     2.2     1.5     1.5 1
-1943  3 13     1.6     0.9     0.9 1
-1943  3 14     2.0     1.3     1.3 1
-1943  3 15     2.6     1.9     1.9 1
-1943  3 16     3.5     2.8     2.8 1
-1943  3 17     3.9     3.2     3.2 1
-1943  3 18     2.2     1.5     1.5 1
-1943  3 19     1.7     1.0     1.0 1
-1943  3 20     2.5     1.8     1.8 1
-1943  3 21     3.2     2.5     2.5 1
-1943  3 22     4.1     3.5     3.5 1
-1943  3 23     4.7     4.1     4.1 1
-1943  3 24    -0.1    -0.7    -0.7 1
-1943  3 25     1.4     0.8     0.8 1
-1943  3 26     2.9     2.3     2.3 1
-1943  3 27     1.6     1.0     1.0 1
-1943  3 28     5.7     5.1     5.1 1
-1943  3 29     6.9     6.3     6.3 1
-1943  3 30     5.9     5.3     5.3 1
-1943  3 31     6.0     5.4     5.4 1
-1943  4  1     5.0     4.4     4.4 1
-1943  4  2     4.7     4.1     4.1 1
-1943  4  3     3.5     2.9     2.9 1
-1943  4  4     6.2     5.6     5.6 1
-1943  4  5     8.8     8.2     8.2 1
-1943  4  6     4.3     3.7     3.7 1
-1943  4  7     4.3     3.7     3.7 1
-1943  4  8     1.8     1.2     1.2 1
-1943  4  9     2.1     1.5     1.5 1
-1943  4 10     5.8     5.2     5.2 1
-1943  4 11     6.8     6.3     6.3 1
-1943  4 12     2.8     2.3     2.3 1
-1943  4 13     5.0     4.5     4.5 1
-1943  4 14    10.4     9.9     9.9 1
-1943  4 15    12.5    12.0    12.0 1
-1943  4 16     8.9     8.4     8.4 1
-1943  4 17     6.0     5.4     5.4 1
-1943  4 18     7.5     6.9     6.9 1
-1943  4 19     9.4     8.8     8.8 1
-1943  4 20     8.3     7.7     7.7 1
-1943  4 21     9.8     9.2     9.2 1
-1943  4 22    10.4     9.8     9.8 1
-1943  4 23    14.0    13.4    13.4 1
-1943  4 24    13.2    12.5    12.5 1
-1943  4 25    10.8    10.1    10.1 1
-1943  4 26     8.8     8.1     8.1 1
-1943  4 27     7.6     6.9     6.9 1
-1943  4 28     4.8     4.1     4.1 1
-1943  4 29     4.0     3.3     3.3 1
-1943  4 30     3.5     2.7     2.7 1
-1943  5  1     5.4     4.6     4.6 1
-1943  5  2     7.4     6.6     6.6 1
-1943  5  3    10.2     9.4     9.4 1
-1943  5  4    11.4    10.6    10.6 1
-1943  5  5    13.6    12.8    12.8 1
-1943  5  6    12.8    12.0    12.0 1
-1943  5  7    11.2    10.3    10.3 1
-1943  5  8     9.9     9.0     9.0 1
-1943  5  9     6.4     5.5     5.5 1
-1943  5 10     9.4     8.5     8.5 1
-1943  5 11    10.1     9.2     9.2 1
-1943  5 12    10.9    10.0    10.0 1
-1943  5 13    13.6    12.6    12.6 1
-1943  5 14    17.1    16.1    16.1 1
-1943  5 15    14.6    13.6    13.6 1
-1943  5 16    10.5     9.5     9.5 1
-1943  5 17    11.4    10.4    10.4 1
-1943  5 18     8.6     7.6     7.6 1
-1943  5 19     7.1     6.1     6.1 1
-1943  5 20     8.7     7.8     7.8 1
-1943  5 21    12.3    11.4    11.4 1
-1943  5 22    12.8    11.9    11.9 1
-1943  5 23    14.7    13.8    13.8 1
-1943  5 24    13.0    12.1    12.1 1
-1943  5 25    12.5    11.6    11.6 1
-1943  5 26    12.9    12.0    12.0 1
-1943  5 27    16.0    15.1    15.1 1
-1943  5 28    13.3    12.4    12.4 1
-1943  5 29     7.1     6.2     6.2 1
-1943  5 30    12.5    11.6    11.6 1
-1943  5 31    14.7    13.8    13.8 1
-1943  6  1    15.0    14.1    14.1 1
-1943  6  2    15.9    15.0    15.0 1
-1943  6  3    16.4    15.6    15.6 1
-1943  6  4    16.0    15.2    15.2 1
-1943  6  5    16.1    15.3    15.3 1
-1943  6  6    13.4    12.6    12.6 1
-1943  6  7    13.8    13.0    13.0 1
-1943  6  8    14.8    14.0    14.0 1
-1943  6  9    17.9    17.1    17.1 1
-1943  6 10    20.9    20.1    20.1 1
-1943  6 11    20.8    20.0    20.0 1
-1943  6 12    20.7    19.9    19.9 1
-1943  6 13    18.1    17.3    17.3 1
-1943  6 14    15.1    14.3    14.3 1
-1943  6 15    14.2    13.4    13.4 1
-1943  6 16    12.5    11.7    11.7 1
-1943  6 17    14.3    13.5    13.5 1
-1943  6 18    15.3    14.5    14.5 1
-1943  6 19    16.9    16.1    16.1 1
-1943  6 20    16.0    15.2    15.2 1
-1943  6 21    18.8    18.0    18.0 1
-1943  6 22    17.3    16.5    16.5 1
-1943  6 23    17.5    16.7    16.7 1
-1943  6 24    13.3    12.5    12.5 1
-1943  6 25    14.9    14.1    14.1 1
-1943  6 26    15.1    14.4    14.4 1
-1943  6 27    11.9    11.2    11.2 1
-1943  6 28    10.6     9.9     9.9 1
-1943  6 29    13.6    12.9    12.9 1
-1943  6 30    17.0    16.3    16.3 1
-1943  7  1    17.3    16.6    16.6 1
-1943  7  2    15.5    14.8    14.8 1
-1943  7  3    10.5     9.8     9.8 1
-1943  7  4    14.0    13.3    13.3 1
-1943  7  5    13.3    12.6    12.6 1
-1943  7  6    13.8    13.1    13.1 1
-1943  7  7    15.0    14.3    14.3 1
-1943  7  8    16.1    15.4    15.4 1
-1943  7  9    16.3    15.6    15.6 1
-1943  7 10    16.7    16.0    16.0 1
-1943  7 11    17.2    16.5    16.5 1
-1943  7 12    18.1    17.4    17.4 1
-1943  7 13    16.1    15.4    15.4 1
-1943  7 14    16.6    15.9    15.9 1
-1943  7 15    15.1    14.4    14.4 1
-1943  7 16    16.0    15.3    15.3 1
-1943  7 17    16.7    16.0    16.0 1
-1943  7 18    15.5    14.8    14.8 1
-1943  7 19    17.7    17.0    17.0 1
-1943  7 20    18.9    18.2    18.2 1
-1943  7 21    19.4    18.7    18.7 1
-1943  7 22    18.9    18.2    18.2 1
-1943  7 23    16.6    15.9    15.9 1
-1943  7 24    18.3    17.6    17.6 1
-1943  7 25    18.2    17.6    17.6 1
-1943  7 26    19.7    19.1    19.1 1
-1943  7 27    20.1    19.5    19.5 1
-1943  7 28    22.4    21.8    21.8 1
-1943  7 29    20.0    19.4    19.4 1
-1943  7 30    19.4    18.8    18.8 1
-1943  7 31    19.3    18.7    18.7 1
-1943  8  1    22.4    21.8    21.8 1
-1943  8  2    22.8    22.2    22.2 1
-1943  8  3    21.0    20.4    20.4 1
-1943  8  4    17.1    16.5    16.5 1
-1943  8  5    16.7    16.1    16.1 1
-1943  8  6    14.4    13.8    13.8 1
-1943  8  7    13.6    13.1    13.1 1
-1943  8  8    16.2    15.7    15.7 1
-1943  8  9    15.4    14.9    14.9 1
-1943  8 10    15.4    14.9    14.9 1
-1943  8 11    15.7    15.2    15.2 1
-1943  8 12    12.8    12.3    12.3 1
-1943  8 13     9.5     9.0     9.0 1
-1943  8 14    11.5    11.0    11.0 1
-1943  8 15    13.4    12.9    12.9 1
-1943  8 16    13.7    13.2    13.2 1
-1943  8 17    13.8    13.3    13.3 1
-1943  8 18    13.6    13.2    13.2 1
-1943  8 19    12.1    11.7    11.7 1
-1943  8 20    15.1    14.7    14.7 1
-1943  8 21    15.2    14.8    14.8 1
-1943  8 22    16.4    16.0    16.0 1
-1943  8 23    18.2    17.8    17.8 1
-1943  8 24    16.9    16.5    16.5 1
-1943  8 25    16.1    15.7    15.7 1
-1943  8 26    16.0    15.6    15.6 1
-1943  8 27    16.3    16.0    16.0 1
-1943  8 28    15.0    14.7    14.7 1
-1943  8 29    13.3    13.0    13.0 1
-1943  8 30    12.1    11.8    11.8 1
-1943  8 31    13.5    13.2    13.2 1
-1943  9  1    14.2    13.9    13.9 1
-1943  9  2    14.3    14.0    14.0 1
-1943  9  3    14.3    14.0    14.0 1
-1943  9  4    12.4    12.2    12.2 1
-1943  9  5    13.5    13.3    13.3 1
-1943  9  6    14.0    13.8    13.8 1
-1943  9  7    15.7    15.5    15.5 1
-1943  9  8    15.2    15.0    15.0 1
-1943  9  9    13.9    13.7    13.7 1
-1943  9 10    12.4    12.2    12.2 1
-1943  9 11    12.0    11.8    11.8 1
-1943  9 12    12.8    12.7    12.7 1
-1943  9 13    12.9    12.8    12.8 1
-1943  9 14    14.2    14.1    14.1 1
-1943  9 15    13.4    13.3    13.3 1
-1943  9 16    14.5    14.4    14.4 1
-1943  9 17    14.1    14.0    14.0 1
-1943  9 18    14.4    14.3    14.3 1
-1943  9 19    12.4    12.3    12.3 1
-1943  9 20    14.2    14.1    14.1 1
-1943  9 21    10.1    10.0    10.0 1
-1943  9 22     8.0     7.9     7.9 1
-1943  9 23     8.0     7.9     7.9 1
-1943  9 24    13.1    13.0    13.0 1
-1943  9 25    11.7    11.6    11.6 1
-1943  9 26     8.1     8.0     8.0 1
-1943  9 27     7.5     7.4     7.4 1
-1943  9 28     6.8     6.7     6.7 1
-1943  9 29     8.3     8.2     8.2 1
-1943  9 30    11.4    11.3    11.3 1
-1943 10  1    12.2    12.1    12.1 1
-1943 10  2    12.3    12.2    12.2 1
-1943 10  3     9.5     9.4     9.4 1
-1943 10  4    10.5    10.4    10.4 1
-1943 10  5     8.5     8.4     8.4 1
-1943 10  6    11.8    11.7    11.7 1
-1943 10  7    11.7    11.6    11.6 1
-1943 10  8     7.4     7.3     7.3 1
-1943 10  9     7.8     7.7     7.7 1
-1943 10 10     8.4     8.3     8.3 1
-1943 10 11     8.2     8.1     8.1 1
-1943 10 12     8.7     8.6     8.6 1
-1943 10 13     8.7     8.6     8.6 1
-1943 10 14     8.4     8.3     8.3 1
-1943 10 15     8.3     8.2     8.2 1
-1943 10 16     9.3     9.2     9.2 1
-1943 10 17     8.3     8.2     8.2 1
-1943 10 18     9.8     9.7     9.7 1
-1943 10 19     9.8     9.7     9.7 1
-1943 10 20    10.2    10.1    10.1 1
-1943 10 21    10.8    10.7    10.7 1
-1943 10 22     9.1     9.0     9.0 1
-1943 10 23     9.4     9.3     9.3 1
-1943 10 24    11.2    11.1    11.1 1
-1943 10 25     5.9     5.7     5.7 1
-1943 10 26     6.7     6.5     6.5 1
-1943 10 27     6.9     6.7     6.7 1
-1943 10 28     9.8     9.6     9.6 1
-1943 10 29     9.7     9.5     9.5 1
-1943 10 30     8.5     8.3     8.3 1
-1943 10 31     7.7     7.5     7.5 1
-1943 11  1     7.1     6.9     6.9 1
-1943 11  2     7.1     6.9     6.9 1
-1943 11  3     4.9     4.7     4.7 1
-1943 11  4     5.6     5.4     5.4 1
-1943 11  5     4.3     4.1     4.1 1
-1943 11  6     3.6     3.4     3.4 1
-1943 11  7     3.6     3.4     3.4 1
-1943 11  8     2.6     2.4     2.4 1
-1943 11  9     0.4     0.1     0.1 1
-1943 11 10     4.8     4.5     4.5 1
-1943 11 11     6.0     5.7     5.7 1
-1943 11 12     1.0     0.7     0.7 1
-1943 11 13     4.8     4.5     4.5 1
-1943 11 14     3.3     3.0     3.0 1
-1943 11 15     1.6     1.3     1.3 1
-1943 11 16     1.5     1.2     1.2 1
-1943 11 17    -1.6    -1.9    -1.9 1
-1943 11 18    -2.0    -2.3    -2.3 1
-1943 11 19    -3.5    -3.8    -3.8 1
-1943 11 20     1.3     1.0     1.0 1
-1943 11 21     0.4     0.1     0.1 1
-1943 11 22     5.1     4.8     4.8 1
-1943 11 23     2.7     2.4     2.4 1
-1943 11 24     3.1     2.8     2.8 1
-1943 11 25     4.0     3.7     3.7 1
-1943 11 26     2.5     2.2     2.2 1
-1943 11 27     1.1     0.8     0.8 1
-1943 11 28     0.1    -0.2    -0.2 1
-1943 11 29     2.4     2.1     2.1 1
-1943 11 30     1.1     0.8     0.8 1
-1943 12  1     1.9     1.6     1.6 1
-1943 12  2     1.8     1.5     1.5 1
-1943 12  3     0.0    -0.3    -0.3 1
-1943 12  4    -1.0    -1.3    -1.3 1
-1943 12  5     0.6     0.3     0.3 1
-1943 12  6     2.5     2.2     2.2 1
-1943 12  7    -0.4    -0.7    -0.7 1
-1943 12  8    -1.7    -2.0    -2.0 1
-1943 12  9    -1.7    -2.0    -2.0 1
-1943 12 10    -5.0    -5.3    -5.3 1
-1943 12 11    -2.4    -2.8    -2.8 1
-1943 12 12    -2.4    -2.8    -2.8 1
-1943 12 13     0.2    -0.2    -0.2 1
-1943 12 14     1.3     0.9     0.9 1
-1943 12 15     1.2     0.8     0.8 1
-1943 12 16     0.9     0.5     0.5 1
-1943 12 17    -1.9    -2.3    -2.3 1
-1943 12 18     1.6     1.2     1.2 1
-1943 12 19     3.0     2.6     2.6 1
-1943 12 20     3.8     3.4     3.4 1
-1943 12 21     4.4     4.0     4.0 1
-1943 12 22     3.8     3.4     3.4 1
-1943 12 23     3.5     3.1     3.1 1
-1943 12 24     2.1     1.7     1.7 1
-1943 12 25     0.7     0.3     0.3 1
-1943 12 26     0.6     0.2     0.2 1
-1943 12 27     3.6     3.1     3.1 1
-1943 12 28     0.9     0.4     0.4 1
-1943 12 29     3.2     2.7     2.7 1
-1943 12 30    -1.2    -1.7    -1.7 1
-1943 12 31    -3.9    -4.4    -4.4 1
-1944  1  1    -1.8    -2.3    -2.3 1
-1944  1  2    -4.2    -4.7    -4.7 1
-1944  1  3    -5.8    -6.3    -6.3 1
-1944  1  4    -8.2    -8.7    -8.7 1
-1944  1  5    -9.1    -9.6    -9.6 1
-1944  1  6     3.8     3.3     3.3 1
-1944  1  7    -0.2    -0.7    -0.7 1
-1944  1  8    -4.5    -5.1    -5.1 1
-1944  1  9    -3.6    -4.2    -4.2 1
-1944  1 10   -11.5   -12.1   -12.1 1
-1944  1 11    -9.3    -9.9    -9.9 1
-1944  1 12    -7.2    -7.8    -7.8 1
-1944  1 13    -8.6    -9.2    -9.2 1
-1944  1 14     0.1    -0.5    -0.5 1
-1944  1 15    -1.4    -2.0    -2.0 1
-1944  1 16     1.1     0.5     0.5 1
-1944  1 17     1.1     0.5     0.5 1
-1944  1 18     2.2     1.6     1.6 1
-1944  1 19     4.1     3.5     3.5 1
-1944  1 20     2.8     2.2     2.2 1
-1944  1 21     1.0     0.4     0.4 1
-1944  1 22     3.0     2.4     2.4 1
-1944  1 23     3.5     2.9     2.9 1
-1944  1 24     1.5     0.9     0.9 1
-1944  1 25    -1.3    -1.9    -1.9 1
-1944  1 26     1.7     1.1     1.1 1
-1944  1 27     0.9     0.3     0.3 1
-1944  1 28     2.2     1.6     1.6 1
-1944  1 29     0.5    -0.1    -0.1 1
-1944  1 30     4.8     4.2     4.2 1
-1944  1 31     0.3    -0.3    -0.3 1
-1944  2  1     3.2     2.6     2.6 1
-1944  2  2     3.4     2.8     2.8 1
-1944  2  3     1.9     1.3     1.3 1
-1944  2  4     1.3     0.7     0.7 1
-1944  2  5    -0.3    -0.9    -0.9 1
-1944  2  6    -3.2    -3.8    -3.8 1
-1944  2  7     0.6     0.0     0.0 1
-1944  2  8     2.7     2.1     2.1 1
-1944  2  9    -1.7    -2.3    -2.3 1
-1944  2 10     0.3    -0.3    -0.3 1
-1944  2 11    -1.2    -1.8    -1.8 1
-1944  2 12    -2.4    -3.0    -3.0 1
-1944  2 13    -1.5    -2.1    -2.1 1
-1944  2 14     2.1     1.5     1.5 1
-1944  2 15     0.9     0.3     0.3 1
-1944  2 16    -0.4    -1.0    -1.0 1
-1944  2 17    -2.2    -2.8    -2.8 1
-1944  2 18    -3.3    -3.9    -3.9 1
-1944  2 19    -5.2    -5.8    -5.8 1
-1944  2 20    -6.1    -6.7    -6.7 1
-1944  2 21    -1.5    -2.1    -2.1 1
-1944  2 22    -1.5    -2.1    -2.1 1
-1944  2 23     1.6     1.0     1.0 1
-1944  2 24     0.7     0.1     0.1 1
-1944  2 25     1.2     0.6     0.6 1
-1944  2 26    -3.7    -4.3    -4.3 1
-1944  2 27    -5.2    -5.8    -5.8 1
-1944  2 28    -4.8    -5.4    -5.4 1
-1944  2 29    -3.1    -3.7    -3.7 1
-1944  3  1    -2.1    -2.7    -2.7 1
-1944  3  2    -1.3    -1.9    -1.9 1
-1944  3  3    -2.5    -3.1    -3.1 1
-1944  3  4     0.9     0.2     0.2 1
-1944  3  5    -2.0    -2.7    -2.7 1
-1944  3  6     0.4    -0.3    -0.3 1
-1944  3  7     2.1     1.4     1.4 1
-1944  3  8     2.5     1.8     1.8 1
-1944  3  9     2.4     1.7     1.7 1
-1944  3 10     2.4     1.7     1.7 1
-1944  3 11     0.9     0.2     0.2 1
-1944  3 12     0.6    -0.1    -0.1 1
-1944  3 13     0.7     0.0     0.0 1
-1944  3 14    -0.4    -1.1    -1.1 1
-1944  3 15    -0.2    -0.9    -0.9 1
-1944  3 16    -0.7    -1.4    -1.4 1
-1944  3 17    -0.6    -1.3    -1.3 1
-1944  3 18     1.7     1.0     1.0 1
-1944  3 19     2.0     1.3     1.3 1
-1944  3 20     0.7     0.0     0.0 1
-1944  3 21    -0.2    -0.9    -0.9 1
-1944  3 22     0.4    -0.3    -0.3 1
-1944  3 23    -0.2    -0.9    -0.9 1
-1944  3 24    -0.5    -1.1    -1.1 1
-1944  3 25    -0.5    -1.1    -1.1 1
-1944  3 26    -1.5    -2.1    -2.1 1
-1944  3 27    -2.7    -3.3    -3.3 1
-1944  3 28    -1.2    -1.8    -1.8 1
-1944  3 29    -4.4    -5.0    -5.0 1
-1944  3 30    -5.3    -5.9    -5.9 1
-1944  3 31    -5.2    -5.8    -5.8 1
-1944  4  1    -3.3    -3.9    -3.9 1
-1944  4  2    -1.5    -2.1    -2.1 1
-1944  4  3    -0.5    -1.1    -1.1 1
-1944  4  4     0.8     0.2     0.2 1
-1944  4  5     0.1    -0.5    -0.5 1
-1944  4  6     0.8     0.2     0.2 1
-1944  4  7     2.6     2.0     2.0 1
-1944  4  8     2.6     2.0     2.0 1
-1944  4  9     3.7     3.1     3.1 1
-1944  4 10     2.2     1.6     1.6 1
-1944  4 11     3.0     2.4     2.4 1
-1944  4 12     0.1    -0.5    -0.5 1
-1944  4 13     0.7     0.2     0.2 1
-1944  4 14     2.4     1.9     1.9 1
-1944  4 15     4.2     3.7     3.7 1
-1944  4 16     4.8     4.2     4.2 1
-1944  4 17     1.3     0.7     0.7 1
-1944  4 18     1.7     1.1     1.1 1
-1944  4 19     3.6     3.0     3.0 1
-1944  4 20     4.5     3.9     3.9 1
-1944  4 21     7.2     6.6     6.6 1
-1944  4 22     6.3     5.7     5.7 1
-1944  4 23     6.5     5.8     5.8 1
-1944  4 24     7.1     6.4     6.4 1
-1944  4 25     2.6     1.9     1.9 1
-1944  4 26     4.4     3.7     3.7 1
-1944  4 27     8.5     7.8     7.8 1
-1944  4 28     4.8     4.1     4.1 1
-1944  4 29     2.8     2.0     2.0 1
-1944  4 30     4.3     3.5     3.5 1
-1944  5  1     5.4     4.6     4.6 1
-1944  5  2     5.6     4.8     4.8 1
-1944  5  3     4.2     3.4     3.4 1
-1944  5  4     1.0     0.2     0.2 1
-1944  5  5     1.7     0.9     0.9 1
-1944  5  6     1.9     1.0     1.0 1
-1944  5  7     4.0     3.1     3.1 1
-1944  5  8     5.5     4.6     4.6 1
-1944  5  9     7.9     7.0     7.0 1
-1944  5 10     9.6     8.7     8.7 1
-1944  5 11    11.7    10.8    10.8 1
-1944  5 12    14.4    13.4    13.4 1
-1944  5 13    14.3    13.3    13.3 1
-1944  5 14    14.4    13.4    13.4 1
-1944  5 15    12.2    11.2    11.2 1
-1944  5 16     9.9     8.9     8.9 1
-1944  5 17    12.2    11.2    11.2 1
-1944  5 18    11.3    10.3    10.3 1
-1944  5 19    12.0    11.0    11.0 1
-1944  5 20     7.1     6.1     6.1 1
-1944  5 21     6.8     5.8     5.8 1
-1944  5 22     5.2     4.3     4.3 1
-1944  5 23     5.9     5.0     5.0 1
-1944  5 24     5.3     4.4     4.4 1
-1944  5 25     6.7     5.8     5.8 1
-1944  5 26    10.4     9.5     9.5 1
-1944  5 27    14.0    13.1    13.1 1
-1944  5 28    15.4    14.5    14.5 1
-1944  5 29    13.7    12.8    12.8 1
-1944  5 30     9.8     8.9     8.9 1
-1944  5 31    11.1    10.2    10.2 1
-1944  6  1    10.0     9.1     9.1 1
-1944  6  2    10.4     9.5     9.5 1
-1944  6  3    10.4     9.5     9.5 1
-1944  6  4    12.0    11.1    11.1 1
-1944  6  5     9.7     8.8     8.8 1
-1944  6  6    11.3    10.5    10.5 1
-1944  6  7    11.8    11.0    11.0 1
-1944  6  8    13.5    12.7    12.7 1
-1944  6  9    10.8    10.0    10.0 1
-1944  6 10    13.2    12.4    12.4 1
-1944  6 11    11.6    10.8    10.8 1
-1944  6 12    12.3    11.5    11.5 1
-1944  6 13    14.9    14.1    14.1 1
-1944  6 14    13.7    12.9    12.9 1
-1944  6 15    13.3    12.5    12.5 1
-1944  6 16    13.6    12.8    12.8 1
-1944  6 17    14.3    13.5    13.5 1
-1944  6 18    15.6    14.8    14.8 1
-1944  6 19    17.8    17.0    17.0 1
-1944  6 20    20.8    20.0    20.0 1
-1944  6 21    13.2    12.4    12.4 1
-1944  6 22    10.8    10.0    10.0 1
-1944  6 23    11.2    10.4    10.4 1
-1944  6 24    11.4    10.6    10.6 1
-1944  6 25    13.3    12.5    12.5 1
-1944  6 26    13.5    12.7    12.7 1
-1944  6 27    18.0    17.2    17.2 1
-1944  6 28    17.1    16.3    16.3 1
-1944  6 29    18.2    17.4    17.4 1
-1944  6 30    18.5    17.7    17.7 1
-1944  7  1    18.7    17.9    17.9 1
-1944  7  2    20.1    19.3    19.3 1
-1944  7  3    21.3    20.5    20.5 1
-1944  7  4    21.8    21.1    21.1 1
-1944  7  5    22.7    22.0    22.0 1
-1944  7  6    25.1    24.4    24.4 1
-1944  7  7    25.8    25.1    25.1 1
-1944  7  8    23.9    23.2    23.2 1
-1944  7  9    25.1    24.4    24.4 1
-1944  7 10    23.8    23.1    23.1 1
-1944  7 11    17.8    17.1    17.1 1
-1944  7 12    19.6    18.9    18.9 1
-1944  7 13    17.8    17.1    17.1 1
-1944  7 14    17.7    17.0    17.0 1
-1944  7 15    18.2    17.5    17.5 1
-1944  7 16    18.3    17.6    17.6 1
-1944  7 17    21.0    20.3    20.3 1
-1944  7 18    19.4    18.7    18.7 1
-1944  7 19    20.3    19.6    19.6 1
-1944  7 20    18.8    18.1    18.1 1
-1944  7 21    17.4    16.7    16.7 1
-1944  7 22    15.4    14.7    14.7 1
-1944  7 23    15.6    14.9    14.9 1
-1944  7 24    15.4    14.7    14.7 1
-1944  7 25    15.1    14.4    14.4 1
-1944  7 26    16.9    16.3    16.3 1
-1944  7 27    16.5    15.9    15.9 1
-1944  7 28    17.1    16.5    16.5 1
-1944  7 29    17.7    17.1    17.1 1
-1944  7 30    18.4    17.8    17.8 1
-1944  7 31    18.8    18.2    18.2 1
-1944  8  1    20.8    20.2    20.2 1
-1944  8  2    20.0    19.4    19.4 1
-1944  8  3    18.3    17.7    17.7 1
-1944  8  4    18.9    18.3    18.3 1
-1944  8  5    22.0    21.4    21.4 1
-1944  8  6    21.8    21.2    21.2 1
-1944  8  7    22.8    22.2    22.2 1
-1944  8  8    21.7    21.2    21.2 1
-1944  8  9    22.2    21.7    21.7 1
-1944  8 10    18.8    18.3    18.3 1
-1944  8 11    19.3    18.8    18.8 1
-1944  8 12    17.9    17.4    17.4 1
-1944  8 13    16.6    16.1    16.1 1
-1944  8 14    14.9    14.4    14.4 1
-1944  8 15    13.3    12.8    12.8 1
-1944  8 16    16.2    15.7    15.7 1
-1944  8 17    17.9    17.4    17.4 1
-1944  8 18    18.6    18.1    18.1 1
-1944  8 19    20.2    19.8    19.8 1
-1944  8 20    21.0    20.6    20.6 1
-1944  8 21    21.6    21.2    21.2 1
-1944  8 22    15.6    15.2    15.2 1
-1944  8 23    18.7    18.3    18.3 1
-1944  8 24    20.2    19.8    19.8 1
-1944  8 25    19.6    19.2    19.2 1
-1944  8 26    19.6    19.2    19.2 1
-1944  8 27    20.4    20.0    20.0 1
-1944  8 28    19.1    18.8    18.8 1
-1944  8 29    17.2    16.9    16.9 1
-1944  8 30    14.3    14.0    14.0 1
-1944  8 31    15.9    15.6    15.6 1
-1944  9  1    14.0    13.7    13.7 1
-1944  9  2    13.3    13.0    13.0 1
-1944  9  3    12.3    12.0    12.0 1
-1944  9  4    10.7    10.4    10.4 1
-1944  9  5    12.7    12.5    12.5 1
-1944  9  6    14.3    14.1    14.1 1
-1944  9  7    14.6    14.4    14.4 1
-1944  9  8    14.9    14.7    14.7 1
-1944  9  9    12.6    12.4    12.4 1
-1944  9 10     9.9     9.7     9.7 1
-1944  9 11    10.8    10.6    10.6 1
-1944  9 12     9.6     9.4     9.4 1
-1944  9 13    11.9    11.8    11.8 1
-1944  9 14    11.1    11.0    11.0 1
-1944  9 15    11.0    10.9    10.9 1
-1944  9 16    12.0    11.9    11.9 1
-1944  9 17    12.1    12.0    12.0 1
-1944  9 18    13.5    13.4    13.4 1
-1944  9 19    11.9    11.8    11.8 1
-1944  9 20    13.2    13.1    13.1 1
-1944  9 21    13.3    13.2    13.2 1
-1944  9 22    12.2    12.1    12.1 1
-1944  9 23    12.4    12.3    12.3 1
-1944  9 24    13.1    13.0    13.0 1
-1944  9 25    11.8    11.7    11.7 1
-1944  9 26    10.2    10.1    10.1 1
-1944  9 27     9.4     9.3     9.3 1
-1944  9 28     9.4     9.3     9.3 1
-1944  9 29     8.5     8.4     8.4 1
-1944  9 30     9.9     9.8     9.8 1
-1944 10  1     9.1     9.0     9.0 1
-1944 10  2     8.7     8.6     8.6 1
-1944 10  3     6.7     6.6     6.6 1
-1944 10  4     7.8     7.7     7.7 1
-1944 10  5     8.9     8.8     8.8 1
-1944 10  6     6.3     6.2     6.2 1
-1944 10  7    11.9    11.8    11.8 1
-1944 10  8    10.0     9.9     9.9 1
-1944 10  9     7.2     7.1     7.1 1
-1944 10 10     7.2     7.1     7.1 1
-1944 10 11    11.3    11.2    11.2 1
-1944 10 12    10.6    10.5    10.5 1
-1944 10 13     8.7     8.6     8.6 1
-1944 10 14    10.8    10.7    10.7 1
-1944 10 15     9.8     9.7     9.7 1
-1944 10 16     9.9     9.8     9.8 1
-1944 10 17    11.4    11.3    11.3 1
-1944 10 18     9.9     9.8     9.8 1
-1944 10 19     8.9     8.8     8.8 1
-1944 10 20     6.7     6.6     6.6 1
-1944 10 21     5.4     5.3     5.3 1
-1944 10 22     3.9     3.8     3.8 1
-1944 10 23     6.6     6.5     6.5 1
-1944 10 24     7.3     7.1     7.1 1
-1944 10 25     5.6     5.4     5.4 1
-1944 10 26     6.4     6.2     6.2 1
-1944 10 27     5.6     5.4     5.4 1
-1944 10 28     5.4     5.2     5.2 1
-1944 10 29     5.5     5.3     5.3 1
-1944 10 30     6.2     6.0     6.0 1
-1944 10 31     5.4     5.2     5.2 1
-1944 11  1     5.5     5.3     5.3 1
-1944 11  2     5.9     5.7     5.7 1
-1944 11  3     6.9     6.7     6.7 1
-1944 11  4     3.8     3.6     3.6 1
-1944 11  5     9.0     8.8     8.8 1
-1944 11  6     6.0     5.8     5.8 1
-1944 11  7     4.7     4.5     4.5 1
-1944 11  8     5.5     5.2     5.2 1
-1944 11  9     3.5     3.2     3.2 1
-1944 11 10     1.9     1.6     1.6 1
-1944 11 11     2.2     1.9     1.9 1
-1944 11 12     7.3     7.0     7.0 1
-1944 11 13     6.4     6.1     6.1 1
-1944 11 14     3.2     2.9     2.9 1
-1944 11 15     3.1     2.8     2.8 1
-1944 11 16     0.4     0.1     0.1 1
-1944 11 17    -0.5    -0.8    -0.8 1
-1944 11 18     0.7     0.4     0.4 1
-1944 11 19     1.6     1.3     1.3 1
-1944 11 20     7.8     7.5     7.5 1
-1944 11 21    -2.0    -2.3    -2.3 1
-1944 11 22    -2.0    -2.3    -2.3 1
-1944 11 23    -0.8    -1.1    -1.1 1
-1944 11 24     3.9     3.6     3.6 1
-1944 11 25     6.0     5.7     5.7 1
-1944 11 26     0.5     0.2     0.2 1
-1944 11 27    -0.9    -1.2    -1.2 1
-1944 11 28    -1.4    -1.7    -1.7 1
-1944 11 29     3.9     3.6     3.6 1
-1944 11 30     3.5     3.2     3.2 1
-1944 12  1     4.5     4.2     4.2 1
-1944 12  2     6.3     6.0     6.0 1
-1944 12  3     2.5     2.2     2.2 1
-1944 12  4     1.8     1.5     1.5 1
-1944 12  5     3.1     2.8     2.8 1
-1944 12  6     2.4     2.1     2.1 1
-1944 12  7     2.7     2.3     2.3 1
-1944 12  8     2.2     1.8     1.8 1
-1944 12  9     2.8     2.4     2.4 1
-1944 12 10     2.0     1.6     1.6 1
-1944 12 11     2.8     2.4     2.4 1
-1944 12 12     0.8     0.4     0.4 1
-1944 12 13     2.4     2.0     2.0 1
-1944 12 14     2.1     1.7     1.7 1
-1944 12 15    -0.5    -0.9    -0.9 1
-1944 12 16    -2.1    -2.5    -2.5 1
-1944 12 17     0.7     0.3     0.3 1
-1944 12 18     4.1     3.7     3.7 1
-1944 12 19     3.7     3.3     3.3 1
-1944 12 20     3.0     2.6     2.6 1
-1944 12 21     1.3     0.9     0.9 1
-1944 12 22    -1.6    -2.0    -2.0 1
-1944 12 23     0.6     0.2     0.2 1
-1944 12 24     2.2     1.8     1.8 1
-1944 12 25     1.9     1.5     1.5 1
-1944 12 26     3.9     3.4     3.4 1
-1944 12 27     3.3     2.8     2.8 1
-1944 12 28     0.0    -0.5    -0.5 1
-1944 12 29    -1.4    -1.9    -1.9 1
-1944 12 30     1.7     1.2     1.2 1
-1944 12 31    -2.7    -3.2    -3.2 1
-1945  1  1    -3.9    -4.4    -4.4 1
-1945  1  2     2.8     2.3     2.3 1
-1945  1  3     1.4     0.9     0.9 1
-1945  1  4     1.2     0.7     0.7 1
-1945  1  5    -4.5    -5.0    -5.0 1
-1945  1  6    -4.6    -5.1    -5.1 1
-1945  1  7     1.6     1.0     1.0 1
-1945  1  8     0.1    -0.5    -0.5 1
-1945  1  9     1.2     0.6     0.6 1
-1945  1 10    -1.0    -1.6    -1.6 1
-1945  1 11     0.9     0.3     0.3 1
-1945  1 12     0.8     0.2     0.2 1
-1945  1 13    -0.5    -1.1    -1.1 1
-1945  1 14     0.8     0.2     0.2 1
-1945  1 15    -5.2    -5.8    -5.8 1
-1945  1 16    -4.1    -4.7    -4.7 1
-1945  1 17     1.3     0.7     0.7 1
-1945  1 18    -3.9    -4.5    -4.5 1
-1945  1 19     1.3     0.7     0.7 1
-1945  1 20    -0.4    -1.0    -1.0 1
-1945  1 21    -0.6    -1.2    -1.2 1
-1945  1 22    -2.8    -3.4    -3.4 1
-1945  1 23    -3.6    -4.2    -4.2 1
-1945  1 24    -3.9    -4.5    -4.5 1
-1945  1 25    -2.7    -3.3    -3.3 1
-1945  1 26    -4.7    -5.3    -5.3 1
-1945  1 27    -5.0    -5.6    -5.6 1
-1945  1 28    -7.5    -8.1    -8.1 1
-1945  1 29    -4.9    -5.5    -5.5 1
-1945  1 30    -7.8    -8.4    -8.4 1
-1945  1 31    -8.4    -9.0    -9.0 1
-1945  2  1    -1.2    -1.8    -1.8 1
-1945  2  2    -3.7    -4.3    -4.3 1
-1945  2  3    -3.2    -3.8    -3.8 1
-1945  2  4    -6.7    -7.3    -7.3 1
-1945  2  5    -5.5    -6.1    -6.1 1
-1945  2  6    -0.7    -1.3    -1.3 1
-1945  2  7     0.9     0.3     0.3 1
-1945  2  8     2.2     1.6     1.6 1
-1945  2  9     2.0     1.4     1.4 1
-1945  2 10     1.2     0.6     0.6 1
-1945  2 11     0.7     0.1     0.1 1
-1945  2 12     0.6     0.0     0.0 1
-1945  2 13    -0.3    -0.9    -0.9 1
-1945  2 14    -0.7    -1.3    -1.3 1
-1945  2 15    -3.0    -3.6    -3.6 1
-1945  2 16    -2.6    -3.2    -3.2 1
-1945  2 17    -3.9    -4.5    -4.5 1
-1945  2 18    -2.9    -3.5    -3.5 1
-1945  2 19    -0.1    -0.7    -0.7 1
-1945  2 20     0.7     0.1     0.1 1
-1945  2 21     0.1    -0.5    -0.5 1
-1945  2 22     2.1     1.5     1.5 1
-1945  2 23    -0.3    -0.9    -0.9 1
-1945  2 24    -1.0    -1.6    -1.6 1
-1945  2 25     2.4     1.8     1.8 1
-1945  2 26    -0.2    -0.8    -0.8 1
-1945  2 27     3.4     2.8     2.8 1
-1945  2 28     4.8     4.2     4.2 1
-1945  3  1     4.3     3.6     3.6 1
-1945  3  2    -4.8    -5.5    -5.5 1
-1945  3  3    -4.2    -4.9    -4.9 1
-1945  3  4    -3.7    -4.4    -4.4 1
-1945  3  5    -3.9    -4.6    -4.6 1
-1945  3  6    -4.8    -5.5    -5.5 1
-1945  3  7    -6.1    -6.8    -6.8 1
-1945  3  8    -5.6    -6.3    -6.3 1
-1945  3  9    -3.1    -3.8    -3.8 1
-1945  3 10    -0.7    -1.4    -1.4 1
-1945  3 11    -1.1    -1.8    -1.8 1
-1945  3 12     5.5     4.8     4.8 1
-1945  3 13     4.7     4.0     4.0 1
-1945  3 14     3.2     2.5     2.5 1
-1945  3 15     3.4     2.7     2.7 1
-1945  3 16     3.8     3.1     3.1 1
-1945  3 17     0.7     0.0     0.0 1
-1945  3 18    -0.6    -1.3    -1.3 1
-1945  3 19     0.3    -0.4    -0.4 1
-1945  3 20     2.4     1.7     1.7 1
-1945  3 21     3.3     2.6     2.6 1
-1945  3 22     2.6     1.9     1.9 1
-1945  3 23     8.1     7.4     7.4 1
-1945  3 24     9.4     8.7     8.7 1
-1945  3 25     9.9     9.2     9.2 1
-1945  3 26     9.0     8.3     8.3 1
-1945  3 27     3.6     3.0     3.0 1
-1945  3 28     4.8     4.2     4.2 1
-1945  3 29     6.7     6.1     6.1 1
-1945  3 30     6.7     6.1     6.1 1
-1945  3 31     6.5     5.9     5.9 1
-1945  4  1     7.4     6.8     6.8 1
-1945  4  2     6.6     6.0     6.0 1
-1945  4  3     5.6     5.0     5.0 1
-1945  4  4     3.3     2.7     2.7 1
-1945  4  5     3.2     2.6     2.6 1
-1945  4  6     3.9     3.3     3.3 1
-1945  4  7     5.3     4.7     4.7 1
-1945  4  8     6.8     6.2     6.2 1
-1945  4  9    10.8    10.2    10.2 1
-1945  4 10     8.6     8.0     8.0 1
-1945  4 11     4.3     3.7     3.7 1
-1945  4 12     3.5     2.9     2.9 1
-1945  4 13     1.8     1.2     1.2 1
-1945  4 14     1.6     1.0     1.0 1
-1945  4 15     4.8     4.3     4.3 1
-1945  4 16     6.6     6.0     6.0 1
-1945  4 17     6.0     5.4     5.4 1
-1945  4 18     4.2     3.6     3.6 1
-1945  4 19     6.5     5.9     5.9 1
-1945  4 20     8.6     8.0     8.0 1
-1945  4 21     7.1     6.5     6.5 1
-1945  4 22     3.3     2.6     2.6 1
-1945  4 23     2.5     1.8     1.8 1
-1945  4 24     5.9     5.2     5.2 1
-1945  4 25     5.8     5.1     5.1 1
-1945  4 26     6.5     5.8     5.8 1
-1945  4 27     6.3     5.6     5.6 1
-1945  4 28     7.0     6.2     6.2 1
-1945  4 29     5.5     4.7     4.7 1
-1945  4 30     5.2     4.4     4.4 1
-1945  5  1     6.5     5.7     5.7 1
-1945  5  2     5.8     5.0     5.0 1
-1945  5  3     8.8     8.0     8.0 1
-1945  5  4     5.6     4.8     4.8 1
-1945  5  5     8.6     7.7     7.7 1
-1945  5  6    10.0     9.1     9.1 1
-1945  5  7     6.1     5.2     5.2 1
-1945  5  8     6.6     5.7     5.7 1
-1945  5  9     5.6     4.7     4.7 1
-1945  5 10     4.0     3.1     3.1 1
-1945  5 11    11.3    10.3    10.3 1
-1945  5 12    10.2     9.2     9.2 1
-1945  5 13    13.4    12.4    12.4 1
-1945  5 14    11.1    10.1    10.1 1
-1945  5 15    11.6    10.6    10.6 1
-1945  5 16    11.3    10.3    10.3 1
-1945  5 17    12.4    11.4    11.4 1
-1945  5 18     9.6     8.6     8.6 1
-1945  5 19    10.6     9.6     9.6 1
-1945  5 20    10.8     9.8     9.8 1
-1945  5 21    11.9    10.9    10.9 1
-1945  5 22     7.2     6.2     6.2 1
-1945  5 23     5.1     4.1     4.1 1
-1945  5 24     4.2     3.2     3.2 1
-1945  5 25     7.3     6.4     6.4 1
-1945  5 26    10.4     9.5     9.5 1
-1945  5 27    11.7    10.8    10.8 1
-1945  5 28    12.8    11.9    11.9 1
-1945  5 29    12.2    11.3    11.3 1
-1945  5 30    14.9    14.0    14.0 1
-1945  5 31    17.0    16.1    16.1 1
-1945  6  1    15.9    15.0    15.0 1
-1945  6  2    11.1    10.2    10.2 1
-1945  6  3    13.9    13.0    13.0 1
-1945  6  4    15.3    14.4    14.4 1
-1945  6  5    11.1    10.2    10.2 1
-1945  6  6    11.4    10.5    10.5 1
-1945  6  7    10.1     9.2     9.2 1
-1945  6  8    15.4    14.6    14.6 1
-1945  6  9    15.3    14.5    14.5 1
-1945  6 10    13.1    12.3    12.3 1
-1945  6 11    14.2    13.4    13.4 1
-1945  6 12    13.5    12.7    12.7 1
-1945  6 13    11.7    10.9    10.9 1
-1945  6 14    12.6    11.8    11.8 1
-1945  6 15    12.3    11.5    11.5 1
-1945  6 16    11.5    10.7    10.7 1
-1945  6 17    10.1     9.3     9.3 1
-1945  6 18    10.9    10.1    10.1 1
-1945  6 19    15.2    14.4    14.4 1
-1945  6 20    17.3    16.5    16.5 1
-1945  6 21    17.9    17.1    17.1 1
-1945  6 22    17.1    16.3    16.3 1
-1945  6 23    15.8    15.0    15.0 1
-1945  6 24    15.0    14.2    14.2 1
-1945  6 25    14.5    13.7    13.7 1
-1945  6 26    13.7    12.9    12.9 1
-1945  6 27    14.5    13.7    13.7 1
-1945  6 28    16.2    15.4    15.4 1
-1945  6 29    17.6    16.8    16.8 1
-1945  6 30    19.0    18.2    18.2 1
-1945  7  1    17.8    17.0    17.0 1
-1945  7  2    16.3    15.5    15.5 1
-1945  7  3    15.9    15.1    15.1 1
-1945  7  4    16.5    15.7    15.7 1
-1945  7  5    15.6    14.8    14.8 1
-1945  7  6    15.0    14.2    14.2 1
-1945  7  7    18.3    17.5    17.5 1
-1945  7  8    19.0    18.2    18.2 1
-1945  7  9    17.0    16.2    16.2 1
-1945  7 10    19.0    18.2    18.2 1
-1945  7 11    20.8    20.0    20.0 1
-1945  7 12    22.2    21.5    21.5 1
-1945  7 13    24.3    23.6    23.6 1
-1945  7 14    24.2    23.5    23.5 1
-1945  7 15    25.5    24.8    24.8 1
-1945  7 16    26.6    25.9    25.9 1
-1945  7 17    26.8    26.1    26.1 1
-1945  7 18    25.3    24.6    24.6 1
-1945  7 19    24.0    23.3    23.3 1
-1945  7 20    24.1    23.4    23.4 1
-1945  7 21    19.7    19.0    19.0 1
-1945  7 22    18.1    17.4    17.4 1
-1945  7 23    16.5    15.8    15.8 1
-1945  7 24    16.8    16.1    16.1 1
-1945  7 25    17.9    17.2    17.2 1
-1945  7 26    16.5    15.8    15.8 1
-1945  7 27    14.4    13.7    13.7 1
-1945  7 28    14.8    14.2    14.2 1
-1945  7 29    15.3    14.7    14.7 1
-1945  7 30    13.1    12.5    12.5 1
-1945  7 31    15.4    14.8    14.8 1
-1945  8  1    16.7    16.1    16.1 1
-1945  8  2    17.2    16.6    16.6 1
-1945  8  3    17.0    16.4    16.4 1
-1945  8  4    19.6    19.0    19.0 1
-1945  8  5    18.9    18.3    18.3 1
-1945  8  6    18.1    17.5    17.5 1
-1945  8  7    18.2    17.6    17.6 1
-1945  8  8    22.0    21.4    21.4 1
-1945  8  9    22.5    21.9    21.9 1
-1945  8 10    21.2    20.7    20.7 1
-1945  8 11    21.3    20.8    20.8 1
-1945  8 12    20.7    20.2    20.2 1
-1945  8 13    21.2    20.7    20.7 1
-1945  8 14    18.3    17.8    17.8 1
-1945  8 15    18.7    18.2    18.2 1
-1945  8 16    19.1    18.6    18.6 1
-1945  8 17    19.3    18.8    18.8 1
-1945  8 18    16.7    16.2    16.2 1
-1945  8 19    17.5    17.0    17.0 1
-1945  8 20    15.1    14.7    14.7 1
-1945  8 21    16.1    15.7    15.7 1
-1945  8 22    16.8    16.4    16.4 1
-1945  8 23    16.2    15.8    15.8 1
-1945  8 24    15.9    15.5    15.5 1
-1945  8 25    16.2    15.8    15.8 1
-1945  8 26    15.3    14.9    14.9 1
-1945  8 27    13.2    12.8    12.8 1
-1945  8 28    16.2    15.9    15.9 1
-1945  8 29    15.3    15.0    15.0 1
-1945  8 30    15.5    15.2    15.2 1
-1945  8 31    12.5    12.2    12.2 1
-1945  9  1    10.2     9.9     9.9 1
-1945  9  2    11.6    11.3    11.3 1
-1945  9  3    11.5    11.2    11.2 1
-1945  9  4    14.4    14.1    14.1 1
-1945  9  5    12.1    11.9    11.9 1
-1945  9  6    10.9    10.7    10.7 1
-1945  9  7    12.0    11.8    11.8 1
-1945  9  8    12.3    12.1    12.1 1
-1945  9  9    11.0    10.8    10.8 1
-1945  9 10     9.8     9.6     9.6 1
-1945  9 11    10.8    10.6    10.6 1
-1945  9 12    11.5    11.3    11.3 1
-1945  9 13    13.1    12.9    12.9 1
-1945  9 14    14.2    14.1    14.1 1
-1945  9 15    13.8    13.7    13.7 1
-1945  9 16    13.9    13.8    13.8 1
-1945  9 17    13.4    13.3    13.3 1
-1945  9 18    10.9    10.8    10.8 1
-1945  9 19     9.7     9.6     9.6 1
-1945  9 20    11.4    11.3    11.3 1
-1945  9 21    14.9    14.8    14.8 1
-1945  9 22    12.2    12.1    12.1 1
-1945  9 23    11.8    11.7    11.7 1
-1945  9 24    10.6    10.5    10.5 1
-1945  9 25     7.8     7.7     7.7 1
-1945  9 26     5.9     5.8     5.8 1
-1945  9 27     6.8     6.7     6.7 1
-1945  9 28     6.8     6.7     6.7 1
-1945  9 29     5.2     5.1     5.1 1
-1945  9 30     5.3     5.2     5.2 1
-1945 10  1     5.6     5.5     5.5 1
-1945 10  2     7.7     7.6     7.6 1
-1945 10  3     9.8     9.7     9.7 1
-1945 10  4    11.1    11.0    11.0 1
-1945 10  5     7.0     6.9     6.9 1
-1945 10  6     6.8     6.7     6.7 1
-1945 10  7     4.9     4.8     4.8 1
-1945 10  8     8.8     8.7     8.7 1
-1945 10  9     8.6     8.5     8.5 1
-1945 10 10    10.0     9.9     9.9 1
-1945 10 11     2.8     2.7     2.7 1
-1945 10 12     3.3     3.2     3.2 1
-1945 10 13     4.8     4.7     4.7 1
-1945 10 14     6.9     6.8     6.8 1
-1945 10 15     5.8     5.7     5.7 1
-1945 10 16     6.0     5.9     5.9 1
-1945 10 17     5.7     5.6     5.6 1
-1945 10 18     6.6     6.5     6.5 1
-1945 10 19     3.8     3.7     3.7 1
-1945 10 20     2.6     2.5     2.5 1
-1945 10 21     0.8     0.7     0.7 1
-1945 10 22     4.4     4.3     4.3 1
-1945 10 23     8.0     7.8     7.8 1
-1945 10 24     9.6     9.4     9.4 1
-1945 10 25     9.2     9.0     9.0 1
-1945 10 26     9.7     9.5     9.5 1
-1945 10 27     8.8     8.6     8.6 1
-1945 10 28     3.7     3.5     3.5 1
-1945 10 29     4.1     3.9     3.9 1
-1945 10 30     6.3     6.1     6.1 1
-1945 10 31     8.0     7.8     7.8 1
-1945 11  1     9.4     9.2     9.2 1
-1945 11  2     5.3     5.1     5.1 1
-1945 11  3     2.2     2.0     2.0 1
-1945 11  4     2.7     2.5     2.5 1
-1945 11  5     2.7     2.5     2.5 1
-1945 11  6     3.3     3.1     3.1 1
-1945 11  7     3.9     3.6     3.6 1
-1945 11  8     7.3     7.0     7.0 1
-1945 11  9     0.3     0.0     0.0 1
-1945 11 10    -0.2    -0.5    -0.5 1
-1945 11 11     0.3     0.0     0.0 1
-1945 11 12     0.0    -0.3    -0.3 1
-1945 11 13     2.7     2.4     2.4 1
-1945 11 14     2.9     2.6     2.6 1
-1945 11 15     4.4     4.1     4.1 1
-1945 11 16     3.2     2.9     2.9 1
-1945 11 17     5.2     4.9     4.9 1
-1945 11 18     2.2     1.9     1.9 1
-1945 11 19     0.6     0.3     0.3 1
-1945 11 20    -0.4    -0.7    -0.7 1
-1945 11 21    -0.1    -0.4    -0.4 1
-1945 11 22    -0.6    -0.9    -0.9 1
-1945 11 23     1.5     1.2     1.2 1
-1945 11 24     1.6     1.3     1.3 1
-1945 11 25     1.2     0.9     0.9 1
-1945 11 26     2.7     2.4     2.4 1
-1945 11 27     0.4     0.1     0.1 1
-1945 11 28     1.4     1.1     1.1 1
-1945 11 29     1.1     0.8     0.8 1
-1945 11 30    -2.5    -2.8    -2.8 1
-1945 12  1    -1.6    -1.9    -1.9 1
-1945 12  2     3.3     3.0     3.0 1
-1945 12  3     3.2     2.8     2.8 1
-1945 12  4     3.3     2.9     2.9 1
-1945 12  5     1.5     1.1     1.1 1
-1945 12  6    -1.0    -1.4    -1.4 1
-1945 12  7    -2.5    -2.9    -2.9 1
-1945 12  8    -3.1    -3.5    -3.5 1
-1945 12  9    -2.6    -3.0    -3.0 1
-1945 12 10    -0.2    -0.6    -0.6 1
-1945 12 11    -4.7    -5.1    -5.1 1
-1945 12 12    -3.7    -4.1    -4.1 1
-1945 12 13    -1.8    -2.2    -2.2 1
-1945 12 14    -5.7    -6.1    -6.1 1
-1945 12 15    -4.5    -4.9    -4.9 1
-1945 12 16    -7.2    -7.6    -7.6 1
-1945 12 17    -0.8    -1.2    -1.2 1
-1945 12 18     2.9     2.5     2.5 1
-1945 12 19     3.2     2.8     2.8 1
-1945 12 20     2.8     2.4     2.4 1
-1945 12 21     2.1     1.7     1.7 1
-1945 12 22     0.0    -0.4    -0.4 1
-1945 12 23    -3.3    -3.7    -3.7 1
-1945 12 24    -4.4    -4.8    -4.8 1
-1945 12 25    -1.6    -2.1    -2.1 1
-1945 12 26     0.7     0.2     0.2 1
-1945 12 27     1.2     0.7     0.7 1
-1945 12 28     1.6     1.1     1.1 1
-1945 12 29    -0.9    -1.4    -1.4 1
-1945 12 30    -3.0    -3.5    -3.5 1
-1945 12 31    -3.8    -4.3    -4.3 1
-1946  1  1    -3.7    -4.2    -4.2 1
-1946  1  2    -4.2    -4.7    -4.7 1
-1946  1  3    -6.6    -7.1    -7.1 1
-1946  1  4     0.6     0.1     0.1 1
-1946  1  5     4.4     3.9     3.9 1
-1946  1  6     2.2     1.6     1.6 1
-1946  1  7     2.9     2.3     2.3 1
-1946  1  8     1.7     1.1     1.1 1
-1946  1  9     1.8     1.2     1.2 1
-1946  1 10     2.7     2.1     2.1 1
-1946  1 11    -3.1    -3.7    -3.7 1
-1946  1 12    -5.2    -5.8    -5.8 1
-1946  1 13    -4.4    -5.0    -5.0 1
-1946  1 14    -4.4    -5.0    -5.0 1
-1946  1 15    -5.1    -5.7    -5.7 1
-1946  1 16    -6.3    -6.9    -6.9 1
-1946  1 17    -3.6    -4.2    -4.2 1
-1946  1 18    -4.0    -4.6    -4.6 1
-1946  1 19    -3.4    -4.0    -4.0 1
-1946  1 20    -3.5    -4.1    -4.1 1
-1946  1 21    -3.5    -4.1    -4.1 1
-1946  1 22    -6.8    -7.4    -7.4 1
-1946  1 23    -3.1    -3.7    -3.7 1
-1946  1 24    -0.9    -1.5    -1.5 1
-1946  1 25    -1.8    -2.4    -2.4 1
-1946  1 26    -1.2    -1.8    -1.8 1
-1946  1 27    -1.6    -2.2    -2.2 1
-1946  1 28    -0.2    -0.8    -0.8 1
-1946  1 29     0.5    -0.1    -0.1 1
-1946  1 30     1.5     0.9     0.9 1
-1946  1 31    -0.6    -1.2    -1.2 1
-1946  2  1     0.1    -0.5    -0.5 1
-1946  2  2     3.0     2.4     2.4 1
-1946  2  3     1.6     1.0     1.0 1
-1946  2  4     1.4     0.8     0.8 1
-1946  2  5    -0.2    -0.8    -0.8 1
-1946  2  6    -1.4    -2.0    -2.0 1
-1946  2  7    -2.8    -3.4    -3.4 1
-1946  2  8    -0.4    -1.0    -1.0 1
-1946  2  9   -10.5   -11.1   -11.1 1
-1946  2 10    -8.6    -9.2    -9.2 1
-1946  2 11    -6.3    -6.9    -6.9 1
-1946  2 12   -11.7   -12.3   -12.3 1
-1946  2 13    -7.2    -7.8    -7.8 1
-1946  2 14    -2.3    -2.9    -2.9 1
-1946  2 15     1.4     0.8     0.8 1
-1946  2 16     2.7     2.1     2.1 1
-1946  2 17     0.2    -0.4    -0.4 1
-1946  2 18    -4.0    -4.6    -4.6 1
-1946  2 19    -6.5    -7.1    -7.1 1
-1946  2 20    -5.6    -6.2    -6.2 1
-1946  2 21    -9.2    -9.8    -9.8 1
-1946  2 22   -10.6   -11.2   -11.2 1
-1946  2 23    -5.3    -5.9    -5.9 1
-1946  2 24    -5.7    -6.3    -6.3 1
-1946  2 25    -7.8    -8.4    -8.4 1
-1946  2 26    -9.5   -10.2   -10.2 1
-1946  2 27   -12.2   -12.9   -12.9 1
-1946  2 28    -8.5    -9.2    -9.2 1
-1946  3  1    -8.9    -9.6    -9.6 1
-1946  3  2    -4.2    -4.9    -4.9 1
-1946  3  3    -1.4    -2.1    -2.1 1
-1946  3  4    -0.5    -1.2    -1.2 1
-1946  3  5    -2.3    -3.0    -3.0 1
-1946  3  6    -3.3    -4.0    -4.0 1
-1946  3  7    -1.6    -2.3    -2.3 1
-1946  3  8    -1.6    -2.3    -2.3 1
-1946  3  9    -1.4    -2.1    -2.1 1
-1946  3 10    -1.5    -2.2    -2.2 1
-1946  3 11    -3.0    -3.7    -3.7 1
-1946  3 12    -5.1    -5.8    -5.8 1
-1946  3 13   -10.0   -10.7   -10.7 1
-1946  3 14   -12.2   -12.9   -12.9 1
-1946  3 15   -12.0   -12.7   -12.7 1
-1946  3 16    -7.4    -8.1    -8.1 1
-1946  3 17    -2.3    -3.0    -3.0 1
-1946  3 18    -1.2    -1.9    -1.9 1
-1946  3 19     2.7     2.0     2.0 1
-1946  3 20     5.3     4.6     4.6 1
-1946  3 21     4.0     3.3     3.3 1
-1946  3 22     4.6     3.9     3.9 1
-1946  3 23    -0.4    -1.1    -1.1 1
-1946  3 24     3.4     2.7     2.7 1
-1946  3 25     2.7     2.0     2.0 1
-1946  3 26     4.2     3.5     3.5 1
-1946  3 27     4.6     3.9     3.9 1
-1946  3 28     7.2     6.5     6.5 1
-1946  3 29     6.4     5.8     5.8 1
-1946  3 30     8.1     7.5     7.5 1
-1946  3 31     4.7     4.1     4.1 1
-1946  4  1     2.8     2.2     2.2 1
-1946  4  2     6.9     6.3     6.3 1
-1946  4  3    11.3    10.7    10.7 1
-1946  4  4    10.6    10.0    10.0 1
-1946  4  5    14.0    13.4    13.4 1
-1946  4  6     5.2     4.6     4.6 1
-1946  4  7     4.3     3.7     3.7 1
-1946  4  8     8.3     7.7     7.7 1
-1946  4  9     4.1     3.5     3.5 1
-1946  4 10     1.3     0.7     0.7 1
-1946  4 11     0.9     0.3     0.3 1
-1946  4 12    -0.4    -1.0    -1.0 1
-1946  4 13     2.5     1.9     1.9 1
-1946  4 14     6.5     5.9     5.9 1
-1946  4 15     4.1     3.5     3.5 1
-1946  4 16     5.1     4.5     4.5 1
-1946  4 17     6.9     6.3     6.3 1
-1946  4 18     7.2     6.6     6.6 1
-1946  4 19     5.0     4.4     4.4 1
-1946  4 20     7.7     7.1     7.1 1
-1946  4 21     8.9     8.2     8.2 1
-1946  4 22     7.4     6.7     6.7 1
-1946  4 23     8.5     7.8     7.8 1
-1946  4 24     6.3     5.6     5.6 1
-1946  4 25     6.9     6.2     6.2 1
-1946  4 26     8.7     8.0     8.0 1
-1946  4 27     8.6     7.9     7.9 1
-1946  4 28     7.0     6.2     6.2 1
-1946  4 29     8.0     7.2     7.2 1
-1946  4 30     7.0     6.2     6.2 1
-1946  5  1     7.8     7.0     7.0 1
-1946  5  2     6.3     5.5     5.5 1
-1946  5  3     5.5     4.7     4.7 1
-1946  5  4     8.1     7.2     7.2 1
-1946  5  5     7.9     7.0     7.0 1
-1946  5  6     7.5     6.6     6.6 1
-1946  5  7    10.7     9.8     9.8 1
-1946  5  8     5.8     4.9     4.9 1
-1946  5  9     6.9     6.0     6.0 1
-1946  5 10     6.7     5.7     5.7 1
-1946  5 11     6.6     5.6     5.6 1
-1946  5 12     7.3     6.3     6.3 1
-1946  5 13     7.9     6.9     6.9 1
-1946  5 14     5.4     4.4     4.4 1
-1946  5 15     3.5     2.5     2.5 1
-1946  5 16     5.5     4.5     4.5 1
-1946  5 17     8.3     7.3     7.3 1
-1946  5 18     9.9     8.9     8.9 1
-1946  5 19     7.3     6.3     6.3 1
-1946  5 20    11.6    10.6    10.6 1
-1946  5 21    11.3    10.3    10.3 1
-1946  5 22     9.5     8.5     8.5 1
-1946  5 23    10.9     9.9     9.9 1
-1946  5 24    12.5    11.5    11.5 1
-1946  5 25    13.5    12.5    12.5 1
-1946  5 26    15.0    14.0    14.0 1
-1946  5 27    16.7    15.8    15.8 1
-1946  5 28    18.7    17.8    17.8 1
-1946  5 29    20.6    19.7    19.7 1
-1946  5 30    17.2    16.3    16.3 1
-1946  5 31    19.3    18.4    18.4 1
-1946  6  1    15.5    14.6    14.6 1
-1946  6  2    12.6    11.7    11.7 1
-1946  6  3    12.8    11.9    11.9 1
-1946  6  4    13.9    13.0    13.0 1
-1946  6  5    15.7    14.8    14.8 1
-1946  6  6    13.5    12.6    12.6 1
-1946  6  7    14.6    13.7    13.7 1
-1946  6  8    15.3    14.4    14.4 1
-1946  6  9    13.2    12.3    12.3 1
-1946  6 10    13.8    13.0    13.0 1
-1946  6 11    15.2    14.4    14.4 1
-1946  6 12    14.3    13.5    13.5 1
-1946  6 13    14.9    14.1    14.1 1
-1946  6 14    11.6    10.8    10.8 1
-1946  6 15    11.5    10.7    10.7 1
-1946  6 16    11.1    10.3    10.3 1
-1946  6 17    15.0    14.2    14.2 1
-1946  6 18    11.5    10.7    10.7 1
-1946  6 19    11.7    10.9    10.9 1
-1946  6 20    13.5    12.7    12.7 1
-1946  6 21    14.6    13.8    13.8 1
-1946  6 22    15.3    14.5    14.5 1
-1946  6 23    18.1    17.3    17.3 1
-1946  6 24    17.2    16.4    16.4 1
-1946  6 25    18.7    17.9    17.9 1
-1946  6 26    16.2    15.4    15.4 1
-1946  6 27    16.4    15.6    15.6 1
-1946  6 28    16.5    15.7    15.7 1
-1946  6 29    16.4    15.6    15.6 1
-1946  6 30    16.4    15.6    15.6 1
-1946  7  1    16.4    15.6    15.6 1
-1946  7  2    18.2    17.4    17.4 1
-1946  7  3    21.0    20.2    20.2 1
-1946  7  4    20.2    19.4    19.4 1
-1946  7  5    21.3    20.5    20.5 1
-1946  7  6    17.2    16.4    16.4 1
-1946  7  7    17.0    16.2    16.2 1
-1946  7  8    17.1    16.3    16.3 1
-1946  7  9    18.3    17.5    17.5 1
-1946  7 10    17.4    16.6    16.6 1
-1946  7 11    17.6    16.8    16.8 1
-1946  7 12    17.9    17.1    17.1 1
-1946  7 13    18.6    17.8    17.8 1
-1946  7 14    18.6    17.8    17.8 1
-1946  7 15    18.9    18.1    18.1 1
-1946  7 16    18.3    17.6    17.6 1
-1946  7 17    18.4    17.7    17.7 1
-1946  7 18    19.8    19.1    19.1 1
-1946  7 19    21.4    20.7    20.7 1
-1946  7 20    21.4    20.7    20.7 1
-1946  7 21    20.9    20.2    20.2 1
-1946  7 22    18.9    18.2    18.2 1
-1946  7 23    18.1    17.4    17.4 1
-1946  7 24    20.2    19.5    19.5 1
-1946  7 25    21.4    20.7    20.7 1
-1946  7 26    20.9    20.2    20.2 1
-1946  7 27    20.5    19.8    19.8 1
-1946  7 28    20.4    19.7    19.7 1
-1946  7 29    17.3    16.6    16.6 1
-1946  7 30    16.4    15.8    15.8 1
-1946  7 31    15.6    15.0    15.0 1
-1946  8  1    15.9    15.3    15.3 1
-1946  8  2    16.5    15.9    15.9 1
-1946  8  3    15.7    15.1    15.1 1
-1946  8  4    16.2    15.6    15.6 1
-1946  8  5    17.4    16.8    16.8 1
-1946  8  6    17.9    17.3    17.3 1
-1946  8  7    17.6    17.0    17.0 1
-1946  8  8    17.5    16.9    16.9 1
-1946  8  9    16.0    15.4    15.4 1
-1946  8 10    17.0    16.4    16.4 1
-1946  8 11    17.9    17.3    17.3 1
-1946  8 12    17.1    16.6    16.6 1
-1946  8 13    17.0    16.5    16.5 1
-1946  8 14    15.0    14.5    14.5 1
-1946  8 15    15.3    14.8    14.8 1
-1946  8 16    14.8    14.3    14.3 1
-1946  8 17    14.8    14.3    14.3 1
-1946  8 18    15.7    15.2    15.2 1
-1946  8 19    16.1    15.6    15.6 1
-1946  8 20    15.9    15.4    15.4 1
-1946  8 21    13.9    13.5    13.5 1
-1946  8 22    17.4    17.0    17.0 1
-1946  8 23    17.9    17.5    17.5 1
-1946  8 24    17.9    17.5    17.5 1
-1946  8 25    16.7    16.3    16.3 1
-1946  8 26    14.8    14.4    14.4 1
-1946  8 27    12.7    12.3    12.3 1
-1946  8 28    13.7    13.3    13.3 1
-1946  8 29    13.6    13.3    13.3 1
-1946  8 30    15.4    15.1    15.1 1
-1946  8 31    14.9    14.6    14.6 1
-1946  9  1    15.9    15.6    15.6 1
-1946  9  2    15.0    14.7    14.7 1
-1946  9  3    12.4    12.1    12.1 1
-1946  9  4    14.1    13.8    13.8 1
-1946  9  5    14.2    13.9    13.9 1
-1946  9  6    13.6    13.4    13.4 1
-1946  9  7    13.4    13.2    13.2 1
-1946  9  8    15.1    14.9    14.9 1
-1946  9  9    14.4    14.2    14.2 1
-1946  9 10    14.4    14.2    14.2 1
-1946  9 11    12.6    12.4    12.4 1
-1946  9 12    13.5    13.3    13.3 1
-1946  9 13    12.9    12.7    12.7 1
-1946  9 14    13.1    13.0    13.0 1
-1946  9 15    12.5    12.4    12.4 1
-1946  9 16    14.1    14.0    14.0 1
-1946  9 17    13.3    13.2    13.2 1
-1946  9 18    12.5    12.4    12.4 1
-1946  9 19    12.1    12.0    12.0 1
-1946  9 20    11.9    11.8    11.8 1
-1946  9 21     9.2     9.1     9.1 1
-1946  9 22    10.7    10.6    10.6 1
-1946  9 23    13.5    13.4    13.4 1
-1946  9 24    11.2    11.1    11.1 1
-1946  9 25    11.3    11.2    11.2 1
-1946  9 26    12.1    12.0    12.0 1
-1946  9 27    13.8    13.7    13.7 1
-1946  9 28    13.6    13.5    13.5 1
-1946  9 29     8.7     8.6     8.6 1
-1946  9 30     8.3     8.2     8.2 1
-1946 10  1     6.8     6.7     6.7 1
-1946 10  2     5.2     5.1     5.1 1
-1946 10  3     5.2     5.1     5.1 1
-1946 10  4     8.0     7.9     7.9 1
-1946 10  5     9.0     8.9     8.9 1
-1946 10  6     8.4     8.3     8.3 1
-1946 10  7     8.0     7.9     7.9 1
-1946 10  8     7.1     7.0     7.0 1
-1946 10  9     7.1     7.0     7.0 1
-1946 10 10     8.0     7.9     7.9 1
-1946 10 11     9.8     9.7     9.7 1
-1946 10 12     7.2     7.1     7.1 1
-1946 10 13     3.4     3.3     3.3 1
-1946 10 14     7.9     7.8     7.8 1
-1946 10 15     3.7     3.6     3.6 1
-1946 10 16     7.4     7.3     7.3 1
-1946 10 17     6.5     6.4     6.4 1
-1946 10 18     7.2     7.1     7.1 1
-1946 10 19     7.5     7.4     7.4 1
-1946 10 20     4.8     4.7     4.7 1
-1946 10 21     5.6     5.5     5.5 1
-1946 10 22     0.2     0.0     0.0 1
-1946 10 23    -0.8    -1.0    -1.0 1
-1946 10 24     0.4     0.2     0.2 1
-1946 10 25     3.4     3.2     3.2 1
-1946 10 26     2.6     2.4     2.4 1
-1946 10 27     4.7     4.5     4.5 1
-1946 10 28     5.7     5.5     5.5 1
-1946 10 29     5.7     5.5     5.5 1
-1946 10 30     3.9     3.7     3.7 1
-1946 10 31     3.2     3.0     3.0 1
-1946 11  1     5.0     4.8     4.8 1
-1946 11  2     5.9     5.7     5.7 1
-1946 11  3     7.2     7.0     7.0 1
-1946 11  4     2.8     2.6     2.6 1
-1946 11  5     1.4     1.2     1.2 1
-1946 11  6     4.5     4.2     4.2 1
-1946 11  7     5.4     5.1     5.1 1
-1946 11  8     4.8     4.5     4.5 1
-1946 11  9     2.4     2.1     2.1 1
-1946 11 10     0.4     0.1     0.1 1
-1946 11 11    -1.1    -1.4    -1.4 1
-1946 11 12     5.7     5.4     5.4 1
-1946 11 13     4.0     3.7     3.7 1
-1946 11 14    -4.7    -5.0    -5.0 1
-1946 11 15    -3.1    -3.4    -3.4 1
-1946 11 16    -4.1    -4.4    -4.4 1
-1946 11 17    -2.1    -2.4    -2.4 1
-1946 11 18    -0.1    -0.4    -0.4 1
-1946 11 19    -1.6    -1.9    -1.9 1
-1946 11 20    -0.2    -0.5    -0.5 1
-1946 11 21     1.9     1.6     1.6 1
-1946 11 22     5.8     5.5     5.5 1
-1946 11 23     4.1     3.8     3.8 1
-1946 11 24     5.0     4.7     4.7 1
-1946 11 25     6.5     6.2     6.2 1
-1946 11 26     5.5     5.2     5.2 1
-1946 11 27     6.0     5.7     5.7 1
-1946 11 28     6.9     6.6     6.6 1
-1946 11 29     5.4     5.0     5.0 1
-1946 11 30     3.0     2.6     2.6 1
-1946 12  1     4.4     4.0     4.0 1
-1946 12  2     4.1     3.7     3.7 1
-1946 12  3     4.4     4.0     4.0 1
-1946 12  4     2.9     2.5     2.5 1
-1946 12  5     3.6     3.2     3.2 1
-1946 12  6     3.7     3.3     3.3 1
-1946 12  7     3.1     2.7     2.7 1
-1946 12  8     3.7     3.3     3.3 1
-1946 12  9     3.2     2.8     2.8 1
-1946 12 10     2.0     1.6     1.6 1
-1946 12 11     1.3     0.9     0.9 1
-1946 12 12     0.5     0.1     0.1 1
-1946 12 13    -0.9    -1.3    -1.3 1
-1946 12 14    -2.5    -2.9    -2.9 1
-1946 12 15    -4.1    -4.5    -4.5 1
-1946 12 16    -6.1    -6.5    -6.5 1
-1946 12 17    -7.7    -8.1    -8.1 1
-1946 12 18    -5.3    -5.7    -5.7 1
-1946 12 19    -3.6    -4.0    -4.0 1
-1946 12 20    -0.9    -1.3    -1.3 1
-1946 12 21    -0.3    -0.7    -0.7 1
-1946 12 22    -5.6    -6.0    -6.0 1
-1946 12 23    -1.5    -1.9    -1.9 1
-1946 12 24    -1.1    -1.6    -1.6 1
-1946 12 25    -1.4    -1.9    -1.9 1
-1946 12 26     1.7     1.2     1.2 1
-1946 12 27     2.0     1.5     1.5 1
-1946 12 28     1.9     1.4     1.4 1
-1946 12 29     1.5     1.0     1.0 1
-1946 12 30    -0.7    -1.2    -1.2 1
-1946 12 31     0.2    -0.3    -0.3 1
-1947  1  1    -0.5    -1.0    -1.0 1
-1947  1  2    -0.9    -1.4    -1.4 1
-1947  1  3    -1.7    -2.2    -2.2 1
-1947  1  4    -3.8    -4.3    -4.3 1
-1947  1  5    -5.0    -5.6    -5.6 1
-1947  1  6    -5.1    -5.7    -5.7 1
-1947  1  7    -5.1    -5.7    -5.7 1
-1947  1  8    -3.6    -4.2    -4.2 1
-1947  1  9    -5.0    -5.6    -5.6 1
-1947  1 10    -5.8    -6.4    -6.4 1
-1947  1 11    -7.9    -8.5    -8.5 1
-1947  1 12    -7.8    -8.4    -8.4 1
-1947  1 13    -9.8   -10.4   -10.4 1
-1947  1 14    -2.3    -2.9    -2.9 1
-1947  1 15    -2.7    -3.3    -3.3 1
-1947  1 16     3.7     3.1     3.1 1
-1947  1 17     4.4     3.8     3.8 1
-1947  1 18     2.2     1.6     1.6 1
-1947  1 19     0.5    -0.1    -0.1 1
-1947  1 20    -1.5    -2.1    -2.1 1
-1947  1 21    -3.0    -3.6    -3.6 1
-1947  1 22    -5.2    -5.8    -5.8 1
-1947  1 23    -6.5    -7.1    -7.1 1
-1947  1 24    -5.8    -6.4    -6.4 1
-1947  1 25    -8.6    -9.2    -9.2 1
-1947  1 26    -7.6    -8.2    -8.2 1
-1947  1 27    -6.0    -6.6    -6.6 1
-1947  1 28    -5.7    -6.3    -6.3 1
-1947  1 29    -4.3    -4.9    -4.9 1
-1947  1 30    -2.9    -3.5    -3.5 1
-1947  1 31    -2.7    -3.3    -3.3 1
-1947  2  1    -2.8    -3.4    -3.4 1
-1947  2  2    -4.4    -5.0    -5.0 1
-1947  2  3    -6.5    -7.1    -7.1 1
-1947  2  4    -8.0    -8.6    -8.6 1
-1947  2  5   -11.7   -12.3   -12.3 1
-1947  2  6   -13.4   -14.0   -14.0 1
-1947  2  7   -12.7   -13.3   -13.3 1
-1947  2  8   -11.7   -12.3   -12.3 1
-1947  2  9   -10.9   -11.5   -11.5 1
-1947  2 10   -10.4   -11.0   -11.0 1
-1947  2 11    -9.4   -10.0   -10.0 1
-1947  2 12    -9.8   -10.4   -10.4 1
-1947  2 13   -10.5   -11.1   -11.1 1
-1947  2 14    -9.1    -9.7    -9.7 1
-1947  2 15    -8.5    -9.1    -9.1 1
-1947  2 16    -9.1    -9.7    -9.7 1
-1947  2 17    -8.1    -8.7    -8.7 1
-1947  2 18    -7.0    -7.6    -7.6 1
-1947  2 19    -6.5    -7.1    -7.1 1
-1947  2 20    -6.4    -7.0    -7.0 1
-1947  2 21   -10.0   -10.6   -10.6 1
-1947  2 22   -11.3   -12.0   -12.0 1
-1947  2 23   -10.9   -11.6   -11.6 1
-1947  2 24   -13.5   -14.2   -14.2 1
-1947  2 25   -12.8   -13.5   -13.5 1
-1947  2 26   -15.5   -16.2   -16.2 1
-1947  2 27   -15.8   -16.5   -16.5 1
-1947  2 28   -15.3   -16.0   -16.0 1
-1947  3  1   -10.1   -10.8   -10.8 1
-1947  3  2    -9.9   -10.6   -10.6 1
-1947  3  3   -11.6   -12.3   -12.3 1
-1947  3  4    -3.6    -4.3    -4.3 1
-1947  3  5    -9.8   -10.5   -10.5 1
-1947  3  6   -11.5   -12.2   -12.2 1
-1947  3  7   -12.9   -13.6   -13.6 1
-1947  3  8    -7.5    -8.2    -8.2 1
-1947  3  9    -8.6    -9.3    -9.3 1
-1947  3 10    -9.4   -10.1   -10.1 1
-1947  3 11    -7.3    -8.0    -8.0 1
-1947  3 12    -6.6    -7.3    -7.3 1
-1947  3 13    -6.1    -6.8    -6.8 1
-1947  3 14    -7.1    -7.8    -7.8 1
-1947  3 15    -8.2    -8.9    -8.9 1
-1947  3 16    -2.7    -3.4    -3.4 1
-1947  3 17    -2.1    -2.8    -2.8 1
-1947  3 18    -2.9    -3.6    -3.6 1
-1947  3 19    -2.6    -3.3    -3.3 1
-1947  3 20    -2.0    -2.7    -2.7 1
-1947  3 21    -1.6    -2.3    -2.3 1
-1947  3 22    -4.2    -4.9    -4.9 1
-1947  3 23    -0.6    -1.3    -1.3 1
-1947  3 24     0.1    -0.6    -0.6 1
-1947  3 25     2.4     1.7     1.7 1
-1947  3 26     2.0     1.3     1.3 1
-1947  3 27     3.5     2.8     2.8 1
-1947  3 28     1.3     0.6     0.6 1
-1947  3 29     3.0     2.3     2.3 1
-1947  3 30     0.8     0.1     0.1 1
-1947  3 31     0.6     0.0     0.0 1
-1947  4  1     0.6     0.0     0.0 1
-1947  4  2     1.3     0.7     0.7 1
-1947  4  3     0.9     0.3     0.3 1
-1947  4  4     2.3     1.7     1.7 1
-1947  4  5     1.3     0.7     0.7 1
-1947  4  6     1.2     0.6     0.6 1
-1947  4  7     5.3     4.7     4.7 1
-1947  4  8     2.6     2.0     2.0 1
-1947  4  9     2.1     1.5     1.5 1
-1947  4 10     2.0     1.4     1.4 1
-1947  4 11     1.9     1.3     1.3 1
-1947  4 12     6.4     5.8     5.8 1
-1947  4 13     5.7     5.1     5.1 1
-1947  4 14     5.1     4.5     4.5 1
-1947  4 15     7.3     6.7     6.7 1
-1947  4 16    10.1     9.5     9.5 1
-1947  4 17     9.0     8.4     8.4 1
-1947  4 18     5.1     4.5     4.5 1
-1947  4 19     5.8     5.2     5.2 1
-1947  4 20     6.2     5.5     5.5 1
-1947  4 21    10.7    10.0    10.0 1
-1947  4 22    10.1     9.4     9.4 1
-1947  4 23    10.2     9.5     9.5 1
-1947  4 24     7.2     6.5     6.5 1
-1947  4 25     9.0     8.3     8.3 1
-1947  4 26     6.4     5.7     5.7 1
-1947  4 27     8.3     7.5     7.5 1
-1947  4 28     5.3     4.5     4.5 1
-1947  4 29     4.1     3.3     3.3 1
-1947  4 30     4.8     4.0     4.0 1
-1947  5  1     3.5     2.7     2.7 1
-1947  5  2     2.7     1.9     1.9 1
-1947  5  3     5.0     4.1     4.1 1
-1947  5  4     7.4     6.5     6.5 1
-1947  5  5     8.6     7.7     7.7 1
-1947  5  6    11.3    10.4    10.4 1
-1947  5  7    12.8    11.9    11.9 1
-1947  5  8    12.6    11.7    11.7 1
-1947  5  9    15.6    14.6    14.6 1
-1947  5 10    14.2    13.2    13.2 1
-1947  5 11    15.6    14.6    14.6 1
-1947  5 12    16.7    15.7    15.7 1
-1947  5 13    16.1    15.1    15.1 1
-1947  5 14    17.4    16.4    16.4 1
-1947  5 15    16.6    15.6    15.6 1
-1947  5 16    15.0    14.0    14.0 1
-1947  5 17    14.2    13.2    13.2 1
-1947  5 18     8.4     7.4     7.4 1
-1947  5 19    12.0    11.0    11.0 1
-1947  5 20    10.0     9.0     9.0 1
-1947  5 21    11.0    10.0    10.0 1
-1947  5 22    14.9    13.9    13.9 1
-1947  5 23    15.3    14.3    14.3 1
-1947  5 24    15.2    14.2    14.2 1
-1947  5 25    14.5    13.5    13.5 1
-1947  5 26    14.1    13.1    13.1 1
-1947  5 27    16.4    15.4    15.4 1
-1947  5 28    12.5    11.5    11.5 1
-1947  5 29    16.2    15.3    15.3 1
-1947  5 30    16.0    15.1    15.1 1
-1947  5 31    16.0    15.1    15.1 1
-1947  6  1    14.5    13.6    13.6 1
-1947  6  2    13.5    12.6    12.6 1
-1947  6  3    11.5    10.6    10.6 1
-1947  6  4     8.7     7.8     7.8 1
-1947  6  5     8.9     8.0     8.0 1
-1947  6  6    15.5    14.6    14.6 1
-1947  6  7    12.4    11.5    11.5 1
-1947  6  8    13.3    12.4    12.4 1
-1947  6  9    14.0    13.1    13.1 1
-1947  6 10    14.6    13.7    13.7 1
-1947  6 11    14.1    13.2    13.2 1
-1947  6 12    14.7    13.9    13.9 1
-1947  6 13     9.8     9.0     9.0 1
-1947  6 14    13.5    12.7    12.7 1
-1947  6 15    15.3    14.5    14.5 1
-1947  6 16    17.5    16.7    16.7 1
-1947  6 17    18.6    17.8    17.8 1
-1947  6 18    18.5    17.7    17.7 1
-1947  6 19    19.8    19.0    19.0 1
-1947  6 20    21.4    20.6    20.6 1
-1947  6 21    20.7    19.9    19.9 1
-1947  6 22    20.8    20.0    20.0 1
-1947  6 23    21.4    20.6    20.6 1
-1947  6 24    19.7    18.9    18.9 1
-1947  6 25    19.4    18.6    18.6 1
-1947  6 26    21.8    21.0    21.0 1
-1947  6 27    23.0    22.2    22.2 1
-1947  6 28    22.8    22.0    22.0 1
-1947  6 29    24.6    23.8    23.8 1
-1947  6 30    26.7    25.9    25.9 1
-1947  7  1    24.2    23.4    23.4 1
-1947  7  2    23.7    22.9    22.9 1
-1947  7  3    19.7    18.9    18.9 1
-1947  7  4    20.3    19.5    19.5 1
-1947  7  5    21.5    20.7    20.7 1
-1947  7  6    16.0    15.2    15.2 1
-1947  7  7    16.0    15.2    15.2 1
-1947  7  8    17.0    16.2    16.2 1
-1947  7  9    16.5    15.7    15.7 1
-1947  7 10    16.3    15.5    15.5 1
-1947  7 11    14.6    13.8    13.8 1
-1947  7 12    16.0    15.2    15.2 1
-1947  7 13    13.7    12.9    12.9 1
-1947  7 14    17.7    16.9    16.9 1
-1947  7 15    19.1    18.3    18.3 1
-1947  7 16    19.2    18.4    18.4 1
-1947  7 17    18.5    17.7    17.7 1
-1947  7 18    18.7    18.0    18.0 1
-1947  7 19    18.7    18.0    18.0 1
-1947  7 20    18.7    18.0    18.0 1
-1947  7 21    19.1    18.4    18.4 1
-1947  7 22    21.4    20.7    20.7 1
-1947  7 23    24.8    24.1    24.1 1
-1947  7 24    23.9    23.2    23.2 1
-1947  7 25    21.9    21.2    21.2 1
-1947  7 26    19.5    18.8    18.8 1
-1947  7 27    17.7    17.0    17.0 1
-1947  7 28    18.4    17.7    17.7 1
-1947  7 29    19.4    18.7    18.7 1
-1947  7 30    19.0    18.3    18.3 1
-1947  7 31    19.9    19.3    19.3 1
-1947  8  1    16.2    15.6    15.6 1
-1947  8  2    16.8    16.2    16.2 1
-1947  8  3    20.9    20.3    20.3 1
-1947  8  4    21.8    21.2    21.2 1
-1947  8  5    20.8    20.2    20.2 1
-1947  8  6    22.7    22.1    22.1 1
-1947  8  7    18.0    17.4    17.4 1
-1947  8  8    16.8    16.2    16.2 1
-1947  8  9    16.8    16.2    16.2 1
-1947  8 10    17.3    16.7    16.7 1
-1947  8 11    18.2    17.6    17.6 1
-1947  8 12    19.4    18.8    18.8 1
-1947  8 13    19.4    18.8    18.8 1
-1947  8 14    21.9    21.4    21.4 1
-1947  8 15    20.5    20.0    20.0 1
-1947  8 16    21.0    20.5    20.5 1
-1947  8 17    21.2    20.7    20.7 1
-1947  8 18    16.7    16.2    16.2 1
-1947  8 19    15.7    15.2    15.2 1
-1947  8 20    14.9    14.4    14.4 1
-1947  8 21    16.1    15.6    15.6 1
-1947  8 22    17.5    17.1    17.1 1
-1947  8 23    17.0    16.6    16.6 1
-1947  8 24    18.1    17.7    17.7 1
-1947  8 25    18.7    18.3    18.3 1
-1947  8 26    19.1    18.7    18.7 1
-1947  8 27    15.9    15.5    15.5 1
-1947  8 28    13.6    13.2    13.2 1
-1947  8 29    13.0    12.6    12.6 1
-1947  8 30    13.3    13.0    13.0 1
-1947  8 31    14.4    14.1    14.1 1
-1947  9  1    16.0    15.7    15.7 1
-1947  9  2    16.4    16.1    16.1 1
-1947  9  3    14.1    13.8    13.8 1
-1947  9  4    14.0    13.7    13.7 1
-1947  9  5    16.4    16.1    16.1 1
-1947  9  6    17.8    17.5    17.5 1
-1947  9  7    16.8    16.6    16.6 1
-1947  9  8    16.2    16.0    16.0 1
-1947  9  9    16.2    16.0    16.0 1
-1947  9 10    14.4    14.2    14.2 1
-1947  9 11    15.6    15.4    15.4 1
-1947  9 12    15.7    15.5    15.5 1
-1947  9 13    17.4    17.2    17.2 1
-1947  9 14    17.7    17.5    17.5 1
-1947  9 15    14.9    14.8    14.8 1
-1947  9 16    19.3    19.2    19.2 1
-1947  9 17    20.3    20.2    20.2 1
-1947  9 18    14.8    14.7    14.7 1
-1947  9 19    12.8    12.7    12.7 1
-1947  9 20    13.1    13.0    13.0 1
-1947  9 21    16.1    16.0    16.0 1
-1947  9 22    15.2    15.1    15.1 1
-1947  9 23    12.9    12.8    12.8 1
-1947  9 24    11.8    11.7    11.7 1
-1947  9 25    13.2    13.1    13.1 1
-1947  9 26    11.9    11.8    11.8 1
-1947  9 27    13.3    13.2    13.2 1
-1947  9 28    13.2    13.1    13.1 1
-1947  9 29     8.4     8.3     8.3 1
-1947  9 30     6.3     6.2     6.2 1
-1947 10  1     5.3     5.2     5.2 1
-1947 10  2     4.6     4.5     4.5 1
-1947 10  3     7.7     7.6     7.6 1
-1947 10  4    11.2    11.1    11.1 1
-1947 10  5    11.2    11.1    11.1 1
-1947 10  6    11.8    11.7    11.7 1
-1947 10  7     8.6     8.5     8.5 1
-1947 10  8     5.1     5.0     5.0 1
-1947 10  9     7.7     7.6     7.6 1
-1947 10 10    10.7    10.6    10.6 1
-1947 10 11    12.5    12.4    12.4 1
-1947 10 12    12.7    12.6    12.6 1
-1947 10 13    14.2    14.1    14.1 1
-1947 10 14    12.0    11.9    11.9 1
-1947 10 15    10.9    10.8    10.8 1
-1947 10 16     8.8     8.7     8.7 1
-1947 10 17     5.1     5.0     5.0 1
-1947 10 18     2.6     2.5     2.5 1
-1947 10 19     2.4     2.3     2.3 1
-1947 10 20    10.6    10.5    10.5 1
-1947 10 21     7.8     7.6     7.6 1
-1947 10 22     1.1     0.9     0.9 1
-1947 10 23     3.6     3.4     3.4 1
-1947 10 24     3.4     3.2     3.2 1
-1947 10 25     2.2     2.0     2.0 1
-1947 10 26     5.5     5.3     5.3 1
-1947 10 27     3.9     3.7     3.7 1
-1947 10 28     4.0     3.8     3.8 1
-1947 10 29     3.1     2.9     2.9 1
-1947 10 30     2.5     2.3     2.3 1
-1947 10 31     0.8     0.6     0.6 1
-1947 11  1     1.1     0.9     0.9 1
-1947 11  2     5.3     5.1     5.1 1
-1947 11  3     7.5     7.3     7.3 1
-1947 11  4     7.2     7.0     7.0 1
-1947 11  5     5.6     5.3     5.3 1
-1947 11  6     3.7     3.4     3.4 1
-1947 11  7     0.8     0.5     0.5 1
-1947 11  8     1.0     0.7     0.7 1
-1947 11  9     0.2    -0.1    -0.1 1
-1947 11 10     1.9     1.6     1.6 1
-1947 11 11     1.0     0.7     0.7 1
-1947 11 12     0.9     0.6     0.6 1
-1947 11 13     1.0     0.7     0.7 1
-1947 11 14    -3.4    -3.7    -3.7 1
-1947 11 15    -4.6    -4.9    -4.9 1
-1947 11 16    -4.7    -5.0    -5.0 1
-1947 11 17    -4.7    -5.0    -5.0 1
-1947 11 18    -2.8    -3.1    -3.1 1
-1947 11 19    -6.3    -6.6    -6.6 1
-1947 11 20    -5.4    -5.7    -5.7 1
-1947 11 21     1.1     0.8     0.8 1
-1947 11 22     2.4     2.1     2.1 1
-1947 11 23     2.7     2.4     2.4 1
-1947 11 24     2.1     1.8     1.8 1
-1947 11 25     0.7     0.4     0.4 1
-1947 11 26     0.0    -0.4    -0.4 1
-1947 11 27    -3.1    -3.5    -3.5 1
-1947 11 28    -3.1    -3.5    -3.5 1
-1947 11 29    -0.8    -1.2    -1.2 1
-1947 11 30     2.1     1.7     1.7 1
-1947 12  1     1.7     1.3     1.3 1
-1947 12  2     0.5     0.1     0.1 1
-1947 12  3     2.7     2.3     2.3 1
-1947 12  4     3.4     3.0     3.0 1
-1947 12  5     2.8     2.4     2.4 1
-1947 12  6     1.9     1.5     1.5 1
-1947 12  7     3.1     2.7     2.7 1
-1947 12  8     2.4     2.0     2.0 1
-1947 12  9     1.6     1.2     1.2 1
-1947 12 10     0.5     0.1     0.1 1
-1947 12 11    -0.9    -1.3    -1.3 1
-1947 12 12     0.8     0.4     0.4 1
-1947 12 13     0.9     0.5     0.5 1
-1947 12 14     0.0    -0.4    -0.4 1
-1947 12 15    -3.3    -3.7    -3.7 1
-1947 12 16    -1.6    -2.0    -2.0 1
-1947 12 17    -2.3    -2.7    -2.7 1
-1947 12 18    -2.4    -2.8    -2.8 1
-1947 12 19    -1.9    -2.3    -2.3 1
-1947 12 20     0.3    -0.1    -0.1 1
-1947 12 21    -2.6    -3.0    -3.0 1
-1947 12 22    -6.2    -6.7    -6.7 1
-1947 12 23    -6.1    -6.6    -6.6 1
-1947 12 24    -6.0    -6.5    -6.5 1
-1947 12 25     2.5     2.0     2.0 1
-1947 12 26     2.7     2.2     2.2 1
-1947 12 27    -5.6    -6.1    -6.1 1
-1947 12 28    -9.0    -9.5    -9.5 1
-1947 12 29    -8.8    -9.3    -9.3 1
-1947 12 30    -9.4    -9.9    -9.9 1
-1947 12 31    -9.7   -10.2   -10.2 1
-1948  1  1   -11.8   -12.3   -12.3 1
-1948  1  2    -5.8    -6.3    -6.3 1
-1948  1  3    -2.0    -2.5    -2.5 1
-1948  1  4    -3.8    -4.4    -4.4 1
-1948  1  5    -0.2    -0.8    -0.8 1
-1948  1  6    -2.9    -3.5    -3.5 1
-1948  1  7    -6.0    -6.6    -6.6 1
-1948  1  8    -7.9    -8.5    -8.5 1
-1948  1  9    -9.7   -10.3   -10.3 1
-1948  1 10   -14.1   -14.7   -14.7 1
-1948  1 11   -13.7   -14.3   -14.3 1
-1948  1 12    -6.2    -6.8    -6.8 1
-1948  1 13    -1.4    -2.0    -2.0 1
-1948  1 14    -6.7    -7.3    -7.3 1
-1948  1 15   -11.3   -11.9   -11.9 1
-1948  1 16   -12.2   -12.8   -12.8 1
-1948  1 17   -10.0   -10.6   -10.6 1
-1948  1 18    -1.3    -1.9    -1.9 1
-1948  1 19     0.9     0.3     0.3 1
-1948  1 20    -0.3    -0.9    -0.9 1
-1948  1 21    -2.5    -3.1    -3.1 1
-1948  1 22    -5.9    -6.5    -6.5 1
-1948  1 23    -6.1    -6.7    -6.7 1
-1948  1 24    -7.9    -8.5    -8.5 1
-1948  1 25    -5.4    -6.0    -6.0 1
-1948  1 26    -0.3    -0.9    -0.9 1
-1948  1 27     0.8     0.2     0.2 1
-1948  1 28     0.9     0.3     0.3 1
-1948  1 29     1.2     0.6     0.6 1
-1948  1 30     1.1     0.5     0.5 1
-1948  1 31     2.4     1.8     1.8 1
-1948  2  1     3.5     2.9     2.9 1
-1948  2  2     1.2     0.6     0.6 1
-1948  2  3     3.3     2.7     2.7 1
-1948  2  4    -0.1    -0.7    -0.7 1
-1948  2  5    -3.2    -3.8    -3.8 1
-1948  2  6    -4.9    -5.5    -5.5 1
-1948  2  7    -4.0    -4.6    -4.6 1
-1948  2  8    -2.5    -3.1    -3.1 1
-1948  2  9    -2.6    -3.2    -3.2 1
-1948  2 10    -3.9    -4.5    -4.5 1
-1948  2 11    -2.5    -3.1    -3.1 1
-1948  2 12    -2.7    -3.3    -3.3 1
-1948  2 13    -3.2    -3.8    -3.8 1
-1948  2 14    -2.5    -3.1    -3.1 1
-1948  2 15    -4.8    -5.4    -5.4 1
-1948  2 16    -4.2    -4.8    -4.8 1
-1948  2 17    -5.5    -6.1    -6.1 1
-1948  2 18    -6.0    -6.6    -6.6 1
-1948  2 19    -6.9    -7.6    -7.6 1
-1948  2 20    -6.9    -7.6    -7.6 1
-1948  2 21    -5.1    -5.8    -5.8 1
-1948  2 22    -3.6    -4.3    -4.3 1
-1948  2 23    -2.5    -3.2    -3.2 1
-1948  2 24    -2.0    -2.7    -2.7 1
-1948  2 25    -1.2    -1.9    -1.9 1
-1948  2 26    -0.2    -0.9    -0.9 1
-1948  2 27    -1.9    -2.6    -2.6 1
-1948  2 28    -1.2    -1.9    -1.9 1
-1948  2 29    -1.2    -1.9    -1.9 1
-1948  3  1     1.2     0.5     0.5 1
-1948  3  2     1.7     1.0     1.0 1
-1948  3  3    -0.8    -1.5    -1.5 1
-1948  3  4     0.0    -0.7    -0.7 1
-1948  3  5     0.4    -0.3    -0.3 1
-1948  3  6     0.9     0.2     0.2 1
-1948  3  7     0.0    -0.7    -0.7 1
-1948  3  8     0.8     0.1     0.1 1
-1948  3  9     2.7     2.0     2.0 1
-1948  3 10     3.0     2.3     2.3 1
-1948  3 11    -2.8    -3.5    -3.5 1
-1948  3 12     0.3    -0.4    -0.4 1
-1948  3 13     4.7     4.0     4.0 1
-1948  3 14     4.9     4.2     4.2 1
-1948  3 15     2.6     1.9     1.9 1
-1948  3 16    -2.4    -3.1    -3.1 1
-1948  3 17    -5.0    -5.7    -5.7 1
-1948  3 18    -2.5    -3.2    -3.2 1
-1948  3 19     0.7     0.0     0.0 1
-1948  3 20     2.8     2.1     2.1 1
-1948  3 21     3.7     3.0     3.0 1
-1948  3 22     3.4     2.7     2.7 1
-1948  3 23     2.6     1.9     1.9 1
-1948  3 24     3.9     3.2     3.2 1
-1948  3 25     4.8     4.1     4.1 1
-1948  3 26     5.4     4.7     4.7 1
-1948  3 27     7.9     7.2     7.2 1
-1948  3 28     7.0     6.3     6.3 1
-1948  3 29     8.6     7.9     7.9 1
-1948  3 30     8.3     7.6     7.6 1
-1948  3 31     6.4     5.7     5.7 1
-1948  4  1     6.9     6.2     6.2 1
-1948  4  2     6.0     5.3     5.3 1
-1948  4  3     6.1     5.5     5.5 1
-1948  4  4     6.4     5.8     5.8 1
-1948  4  5     5.4     4.8     4.8 1
-1948  4  6     4.9     4.3     4.3 1
-1948  4  7     2.0     1.4     1.4 1
-1948  4  8     4.0     3.4     3.4 1
-1948  4  9     6.2     5.6     5.6 1
-1948  4 10     6.7     6.1     6.1 1
-1948  4 11     5.8     5.2     5.2 1
-1948  4 12     4.7     4.1     4.1 1
-1948  4 13     4.7     4.1     4.1 1
-1948  4 14     7.0     6.4     6.4 1
-1948  4 15     6.4     5.8     5.8 1
-1948  4 16    10.3     9.7     9.7 1
-1948  4 17    11.7    11.1    11.1 1
-1948  4 18    11.9    11.3    11.3 1
-1948  4 19    13.2    12.6    12.6 1
-1948  4 20     4.5     3.8     3.8 1
-1948  4 21     6.5     5.8     5.8 1
-1948  4 22     9.4     8.7     8.7 1
-1948  4 23     9.0     8.3     8.3 1
-1948  4 24     5.3     4.6     4.6 1
-1948  4 25     5.6     4.9     4.9 1
-1948  4 26     9.1     8.3     8.3 1
-1948  4 27     6.7     5.9     5.9 1
-1948  4 28     6.1     5.3     5.3 1
-1948  4 29     5.3     4.5     4.5 1
-1948  4 30     4.3     3.5     3.5 1
-1948  5  1     4.4     3.6     3.6 1
-1948  5  2     6.8     5.9     5.9 1
-1948  5  3     6.5     5.6     5.6 1
-1948  5  4     7.0     6.1     6.1 1
-1948  5  5     9.0     8.1     8.1 1
-1948  5  6     9.8     8.9     8.9 1
-1948  5  7    13.4    12.5    12.5 1
-1948  5  8    12.6    11.6    11.6 1
-1948  5  9    12.2    11.2    11.2 1
-1948  5 10     9.9     8.9     8.9 1
-1948  5 11    11.1    10.1    10.1 1
-1948  5 12    13.7    12.7    12.7 1
-1948  5 13    11.5    10.5    10.5 1
-1948  5 14    14.5    13.5    13.5 1
-1948  5 15    13.9    12.8    12.8 1
-1948  5 16    14.2    13.1    13.1 1
-1948  5 17    12.4    11.3    11.3 1
-1948  5 18    10.8     9.8     9.8 1
-1948  5 19    14.0    13.0    13.0 1
-1948  5 20     8.1     7.1     7.1 1
-1948  5 21     9.3     8.3     8.3 1
-1948  5 22     8.8     7.8     7.8 1
-1948  5 23     7.1     6.1     6.1 1
-1948  5 24    10.1     9.1     9.1 1
-1948  5 25    13.2    12.2    12.2 1
-1948  5 26    13.1    12.1    12.1 1
-1948  5 27    12.8    11.8    11.8 1
-1948  5 28    12.2    11.2    11.2 1
-1948  5 29    12.1    11.1    11.1 1
-1948  5 30     8.6     7.6     7.6 1
-1948  5 31    10.0     9.1     9.1 1
-1948  6  1    12.4    11.5    11.5 1
-1948  6  2    14.8    13.9    13.9 1
-1948  6  3    13.3    12.4    12.4 1
-1948  6  4    13.3    12.4    12.4 1
-1948  6  5    14.2    13.3    13.3 1
-1948  6  6    15.6    14.7    14.7 1
-1948  6  7    17.2    16.3    16.3 1
-1948  6  8    17.6    16.7    16.7 1
-1948  6  9    18.4    17.5    17.5 1
-1948  6 10    15.3    14.4    14.4 1
-1948  6 11    15.5    14.6    14.6 1
-1948  6 12    13.6    12.7    12.7 1
-1948  6 13    14.9    14.0    14.0 1
-1948  6 14    16.4    15.6    15.6 1
-1948  6 15    12.9    12.1    12.1 1
-1948  6 16    17.5    16.7    16.7 1
-1948  6 17    16.5    15.7    15.7 1
-1948  6 18    15.0    14.2    14.2 1
-1948  6 19    14.7    13.9    13.9 1
-1948  6 20    12.5    11.7    11.7 1
-1948  6 21    13.2    12.4    12.4 1
-1948  6 22    15.0    14.2    14.2 1
-1948  6 23    16.2    15.4    15.4 1
-1948  6 24    16.3    15.5    15.5 1
-1948  6 25    11.9    11.1    11.1 1
-1948  6 26    12.5    11.7    11.7 1
-1948  6 27    17.4    16.6    16.6 1
-1948  6 28    17.7    16.9    16.9 1
-1948  6 29    17.8    17.0    17.0 1
-1948  6 30    16.4    15.6    15.6 1
-1948  7  1    15.3    14.5    14.5 1
-1948  7  2    17.2    16.4    16.4 1
-1948  7  3    17.5    16.7    16.7 1
-1948  7  4    17.0    16.2    16.2 1
-1948  7  5    17.4    16.6    16.6 1
-1948  7  6    16.4    15.6    15.6 1
-1948  7  7    18.2    17.4    17.4 1
-1948  7  8    17.3    16.5    16.5 1
-1948  7  9    18.4    17.6    17.6 1
-1948  7 10    19.0    18.2    18.2 1
-1948  7 11    19.2    18.4    18.4 1
-1948  7 12    18.7    17.9    17.9 1
-1948  7 13    17.8    17.0    17.0 1
-1948  7 14    15.2    14.4    14.4 1
-1948  7 15    15.5    14.7    14.7 1
-1948  7 16    15.8    15.0    15.0 1
-1948  7 17    17.1    16.3    16.3 1
-1948  7 18    18.2    17.4    17.4 1
-1948  7 19    18.4    17.6    17.6 1
-1948  7 20    17.1    16.4    16.4 1
-1948  7 21    17.8    17.1    17.1 1
-1948  7 22    18.6    17.9    17.9 1
-1948  7 23    16.2    15.5    15.5 1
-1948  7 24    16.6    15.9    15.9 1
-1948  7 25    17.9    17.2    17.2 1
-1948  7 26    18.8    18.1    18.1 1
-1948  7 27    22.6    21.9    21.9 1
-1948  7 28    22.4    21.7    21.7 1
-1948  7 29    21.8    21.1    21.1 1
-1948  7 30    22.6    21.9    21.9 1
-1948  7 31    25.0    24.3    24.3 1
-1948  8  1    24.9    24.2    24.2 1
-1948  8  2    23.6    23.0    23.0 1
-1948  8  3    14.8    14.2    14.2 1
-1948  8  4    16.0    15.4    15.4 1
-1948  8  5    16.3    15.7    15.7 1
-1948  8  6    15.9    15.3    15.3 1
-1948  8  7    17.2    16.6    16.6 1
-1948  8  8    18.6    18.0    18.0 1
-1948  8  9    16.1    15.5    15.5 1
-1948  8 10    17.2    16.6    16.6 1
-1948  8 11    17.0    16.4    16.4 1
-1948  8 12    16.7    16.1    16.1 1
-1948  8 13    16.9    16.3    16.3 1
-1948  8 14    15.6    15.0    15.0 1
-1948  8 15    15.6    15.1    15.1 1
-1948  8 16    16.5    16.0    16.0 1
-1948  8 17    16.5    16.0    16.0 1
-1948  8 18    15.8    15.3    15.3 1
-1948  8 19    15.4    14.9    14.9 1
-1948  8 20    12.9    12.4    12.4 1
-1948  8 21    14.9    14.4    14.4 1
-1948  8 22    15.4    14.9    14.9 1
-1948  8 23    16.0    15.6    15.6 1
-1948  8 24    14.1    13.7    13.7 1
-1948  8 25    13.5    13.1    13.1 1
-1948  8 26    14.0    13.6    13.6 1
-1948  8 27    13.4    13.0    13.0 1
-1948  8 28     9.9     9.5     9.5 1
-1948  8 29    12.3    11.9    11.9 1
-1948  8 30    14.2    13.8    13.8 1
-1948  8 31    15.2    14.9    14.9 1
-1948  9  1    16.6    16.3    16.3 1
-1948  9  2    15.2    14.9    14.9 1
-1948  9  3    15.8    15.5    15.5 1
-1948  9  4    15.4    15.1    15.1 1
-1948  9  5    15.9    15.6    15.6 1
-1948  9  6    15.8    15.5    15.5 1
-1948  9  7    17.1    16.8    16.8 1
-1948  9  8    15.5    15.3    15.3 1
-1948  9  9    16.8    16.6    16.6 1
-1948  9 10    14.0    13.8    13.8 1
-1948  9 11    15.1    14.9    14.9 1
-1948  9 12    17.8    17.6    17.6 1
-1948  9 13    15.8    15.6    15.6 1
-1948  9 14    14.1    13.9    13.9 1
-1948  9 15    12.8    12.6    12.6 1
-1948  9 16    10.4    10.2    10.2 1
-1948  9 17    11.5    11.4    11.4 1
-1948  9 18    12.0    11.9    11.9 1
-1948  9 19     9.1     9.0     9.0 1
-1948  9 20     6.9     6.8     6.8 1
-1948  9 21     6.2     6.1     6.1 1
-1948  9 22     5.5     5.4     5.4 1
-1948  9 23     7.5     7.4     7.4 1
-1948  9 24     7.0     6.9     6.9 1
-1948  9 25     7.4     7.3     7.3 1
-1948  9 26     6.0     5.9     5.9 1
-1948  9 27    10.2    10.1    10.1 1
-1948  9 28    16.1    16.0    16.0 1
-1948  9 29    14.9    14.8    14.8 1
-1948  9 30     7.6     7.5     7.5 1
-1948 10  1     7.0     6.9     6.9 1
-1948 10  2    12.6    12.5    12.5 1
-1948 10  3    10.0     9.9     9.9 1
-1948 10  4     5.2     5.1     5.1 1
-1948 10  5     8.0     7.9     7.9 1
-1948 10  6     7.8     7.7     7.7 1
-1948 10  7     8.8     8.7     8.7 1
-1948 10  8     6.1     6.0     6.0 1
-1948 10  9     3.0     2.9     2.9 1
-1948 10 10     2.9     2.8     2.8 1
-1948 10 11     5.4     5.3     5.3 1
-1948 10 12     7.6     7.5     7.5 1
-1948 10 13     8.7     8.6     8.6 1
-1948 10 14     8.2     8.1     8.1 1
-1948 10 15     9.6     9.5     9.5 1
-1948 10 16     7.7     7.6     7.6 1
-1948 10 17     6.9     6.8     6.8 1
-1948 10 18    10.3    10.2    10.2 1
-1948 10 19     8.1     8.0     8.0 1
-1948 10 20     8.0     7.8     7.8 1
-1948 10 21     9.0     8.8     8.8 1
-1948 10 22     6.8     6.6     6.6 1
-1948 10 23     6.6     6.4     6.4 1
-1948 10 24     3.3     3.1     3.1 1
-1948 10 25     4.6     4.4     4.4 1
-1948 10 26     6.5     6.3     6.3 1
-1948 10 27     2.7     2.5     2.5 1
-1948 10 28     0.0    -0.2    -0.2 1
-1948 10 29     1.0     0.8     0.8 1
-1948 10 30     0.1    -0.1    -0.1 1
-1948 10 31    -0.4    -0.6    -0.6 1
-1948 11  1     1.8     1.6     1.6 1
-1948 11  2     3.2     3.0     3.0 1
-1948 11  3     5.5     5.3     5.3 1
-1948 11  4     7.9     7.6     7.6 1
-1948 11  5     7.1     6.8     6.8 1
-1948 11  6     2.7     2.4     2.4 1
-1948 11  7     0.4     0.1     0.1 1
-1948 11  8     0.0    -0.3    -0.3 1
-1948 11  9    -1.2    -1.5    -1.5 1
-1948 11 10     1.3     1.0     1.0 1
-1948 11 11    -2.1    -2.4    -2.4 1
-1948 11 12    -3.1    -3.4    -3.4 1
-1948 11 13    -1.7    -2.0    -2.0 1
-1948 11 14     1.0     0.7     0.7 1
-1948 11 15     0.7     0.4     0.4 1
-1948 11 16     2.8     2.5     2.5 1
-1948 11 17     5.2     4.9     4.9 1
-1948 11 18     4.5     4.2     4.2 1
-1948 11 19     2.7     2.4     2.4 1
-1948 11 20     5.0     4.7     4.7 1
-1948 11 21     7.0     6.7     6.7 1
-1948 11 22     0.9     0.6     0.6 1
-1948 11 23    -2.7    -3.1    -3.1 1
-1948 11 24    -4.3    -4.7    -4.7 1
-1948 11 25    -1.5    -1.9    -1.9 1
-1948 11 26    -0.5    -0.9    -0.9 1
-1948 11 27     1.9     1.5     1.5 1
-1948 11 28     0.2    -0.2    -0.2 1
-1948 11 29     2.7     2.3     2.3 1
-1948 11 30     3.9     3.5     3.5 1
-1948 12  1     4.9     4.5     4.5 1
-1948 12  2     1.8     1.4     1.4 1
-1948 12  3     5.0     4.6     4.6 1
-1948 12  4     8.8     8.4     8.4 1
-1948 12  5     3.2     2.8     2.8 1
-1948 12  6     1.9     1.5     1.5 1
-1948 12  7     4.9     4.5     4.5 1
-1948 12  8     7.0     6.6     6.6 1
-1948 12  9     4.2     3.8     3.8 1
-1948 12 10     4.0     3.6     3.6 1
-1948 12 11     0.8     0.4     0.4 1
-1948 12 12     0.2    -0.2    -0.2 1
-1948 12 13     1.9     1.5     1.5 1
-1948 12 14     3.4     3.0     3.0 1
-1948 12 15     5.9     5.5     5.5 1
-1948 12 16     4.3     3.9     3.9 1
-1948 12 17     3.5     3.1     3.1 1
-1948 12 18     1.9     1.5     1.5 1
-1948 12 19     3.5     3.1     3.1 1
-1948 12 20     3.5     3.1     3.1 1
-1948 12 21     0.8     0.3     0.3 1
-1948 12 22    -0.7    -1.2    -1.2 1
-1948 12 23     1.6     1.1     1.1 1
-1948 12 24    -0.4    -0.9    -0.9 1
-1948 12 25     1.9     1.4     1.4 1
-1948 12 26     0.3    -0.2    -0.2 1
-1948 12 27     1.0     0.5     0.5 1
-1948 12 28    -1.4    -1.9    -1.9 1
-1948 12 29     1.0     0.5     0.5 1
-1948 12 30     3.6     3.1     3.1 1
-1948 12 31     2.9     2.4     2.4 1
-1949  1  1     2.9     2.4     2.4 1
-1949  1  2     4.0     3.4     3.4 1
-1949  1  3     3.4     2.8     2.8 1
-1949  1  4     1.0     0.4     0.4 1
-1949  1  5     1.7     1.1     1.1 1
-1949  1  6     2.0     1.4     1.4 1
-1949  1  7     3.3     2.7     2.7 1
-1949  1  8     1.5     0.9     0.9 1
-1949  1  9    -3.3    -3.9    -3.9 1
-1949  1 10    -0.5    -1.1    -1.1 1
-1949  1 11     3.2     2.6     2.6 1
-1949  1 12     1.4     0.8     0.8 1
-1949  1 13    -4.1    -4.7    -4.7 1
-1949  1 14     3.3     2.7     2.7 1
-1949  1 15     0.8     0.2     0.2 1
-1949  1 16    -5.8    -6.4    -6.4 1
-1949  1 17    -4.3    -4.9    -4.9 1
-1949  1 18    -0.5    -1.1    -1.1 1
-1949  1 19    -0.8    -1.4    -1.4 1
-1949  1 20     2.5     1.9     1.9 1
-1949  1 21    -4.9    -5.5    -5.5 1
-1949  1 22    -7.5    -8.1    -8.1 1
-1949  1 23    -4.2    -4.8    -4.8 1
-1949  1 24     3.6     3.0     3.0 1
-1949  1 25     2.9     2.3     2.3 1
-1949  1 26     2.7     2.1     2.1 1
-1949  1 27     2.8     2.2     2.2 1
-1949  1 28     4.6     4.0     4.0 1
-1949  1 29     2.5     1.9     1.9 1
-1949  1 30     2.4     1.8     1.8 1
-1949  1 31    -1.6    -2.2    -2.2 1
-1949  2  1    -3.7    -4.3    -4.3 1
-1949  2  2    -4.1    -4.7    -4.7 1
-1949  2  3     2.7     2.1     2.1 1
-1949  2  4     3.5     2.9     2.9 1
-1949  2  5     1.4     0.8     0.8 1
-1949  2  6    -0.6    -1.2    -1.2 1
-1949  2  7    -0.2    -0.8    -0.8 1
-1949  2  8     0.7     0.1     0.1 1
-1949  2  9     1.3     0.7     0.7 1
-1949  2 10     1.3     0.7     0.7 1
-1949  2 11    -1.4    -2.0    -2.0 1
-1949  2 12    -1.0    -1.6    -1.6 1
-1949  2 13    -0.6    -1.2    -1.2 1
-1949  2 14     3.8     3.2     3.2 1
-1949  2 15     2.6     2.0     2.0 1
-1949  2 16     5.8     5.1     5.1 1
-1949  2 17     7.2     6.5     6.5 1
-1949  2 18     2.6     1.9     1.9 1
-1949  2 19     1.6     0.9     0.9 1
-1949  2 20     3.6     2.9     2.9 1
-1949  2 21     4.4     3.7     3.7 1
-1949  2 22     6.4     5.7     5.7 1
-1949  2 23     5.0     4.3     4.3 1
-1949  2 24     2.6     1.9     1.9 1
-1949  2 25     1.4     0.7     0.7 1
-1949  2 26    -0.2    -0.9    -0.9 1
-1949  2 27    -1.6    -2.3    -2.3 1
-1949  2 28    -4.8    -5.5    -5.5 1
-1949  3  1    -5.8    -6.5    -6.5 1
-1949  3  2    -7.9    -8.6    -8.6 1
-1949  3  3    -7.7    -8.4    -8.4 1
-1949  3  4    -7.2    -7.9    -7.9 1
-1949  3  5    -6.7    -7.4    -7.4 1
-1949  3  6    -0.4    -1.1    -1.1 1
-1949  3  7    -0.1    -0.8    -0.8 1
-1949  3  8    -0.7    -1.4    -1.4 1
-1949  3  9    -0.3    -1.0    -1.0 1
-1949  3 10    -1.6    -2.3    -2.3 1
-1949  3 11    -0.2    -0.9    -0.9 1
-1949  3 12    -0.4    -1.1    -1.1 1
-1949  3 13     2.0     1.3     1.3 1
-1949  3 14     1.8     1.0     1.0 1
-1949  3 15     0.5    -0.3    -0.3 1
-1949  3 16     0.1    -0.6    -0.6 1
-1949  3 17    -2.7    -3.4    -3.4 1
-1949  3 18    -1.9    -2.6    -2.6 1
-1949  3 19    -1.1    -1.8    -1.8 1
-1949  3 20    -1.5    -2.2    -2.2 1
-1949  3 21    -0.6    -1.3    -1.3 1
-1949  3 22     2.7     2.0     2.0 1
-1949  3 23     5.5     4.8     4.8 1
-1949  3 24     7.6     6.9     6.9 1
-1949  3 25     6.3     5.6     5.6 1
-1949  3 26     3.3     2.6     2.6 1
-1949  3 27     2.9     2.2     2.2 1
-1949  3 28     4.7     4.0     4.0 1
-1949  3 29     4.1     3.4     3.4 1
-1949  3 30     4.9     4.2     4.2 1
-1949  3 31     5.2     4.5     4.5 1
-1949  4  1     1.8     1.1     1.1 1
-1949  4  2     0.8     0.1     0.1 1
-1949  4  3     2.7     2.0     2.0 1
-1949  4  4     7.4     6.7     6.7 1
-1949  4  5     7.8     7.2     7.2 1
-1949  4  6     4.5     3.9     3.9 1
-1949  4  7     2.9     2.3     2.3 1
-1949  4  8     1.5     0.9     0.9 1
-1949  4  9    -1.0    -1.6    -1.6 1
-1949  4 10     2.0     1.4     1.4 1
-1949  4 11     4.5     3.9     3.9 1
-1949  4 12     2.2     1.6     1.6 1
-1949  4 13     0.5    -0.1    -0.1 1
-1949  4 14     2.9     2.3     2.3 1
-1949  4 15     3.1     2.5     2.5 1
-1949  4 16     8.8     8.2     8.2 1
-1949  4 17    11.6    11.0    11.0 1
-1949  4 18     6.7     6.1     6.1 1
-1949  4 19     7.3     6.6     6.6 1
-1949  4 20     6.0     5.3     5.3 1
-1949  4 21     6.0     5.3     5.3 1
-1949  4 22     6.2     5.5     5.5 1
-1949  4 23     6.4     5.7     5.7 1
-1949  4 24    10.2     9.5     9.5 1
-1949  4 25    10.1     9.3     9.3 1
-1949  4 26    10.4     9.6     9.6 1
-1949  4 27    11.3    10.5    10.5 1
-1949  4 28    10.8    10.0    10.0 1
-1949  4 29     9.6     8.8     8.8 1
-1949  4 30     7.7     6.9     6.9 1
-1949  5  1     7.5     6.6     6.6 1
-1949  5  2     8.1     7.2     7.2 1
-1949  5  3    10.8     9.9     9.9 1
-1949  5  4    13.4    12.5    12.5 1
-1949  5  5    13.2    12.3    12.3 1
-1949  5  6    14.7    13.8    13.8 1
-1949  5  7     9.5     8.5     8.5 1
-1949  5  8     6.1     5.1     5.1 1
-1949  5  9     6.2     5.2     5.2 1
-1949  5 10     8.0     7.0     7.0 1
-1949  5 11     9.2     8.2     8.2 1
-1949  5 12    13.9    12.9    12.9 1
-1949  5 13    14.3    13.3    13.3 1
-1949  5 14    14.5    13.4    13.4 1
-1949  5 15    15.1    14.0    14.0 1
-1949  5 16    15.2    14.1    14.1 1
-1949  5 17    15.4    14.3    14.3 1
-1949  5 18    17.5    16.4    16.4 1
-1949  5 19    17.1    16.0    16.0 1
-1949  5 20    15.3    14.3    14.3 1
-1949  5 21    14.2    13.2    13.2 1
-1949  5 22    13.3    12.3    12.3 1
-1949  5 23    13.4    12.4    12.4 1
-1949  5 24    13.7    12.7    12.7 1
-1949  5 25    14.4    13.4    13.4 1
-1949  5 26    11.9    10.9    10.9 1
-1949  5 27    11.1    10.1    10.1 1
-1949  5 28    12.0    11.0    11.0 1
-1949  5 29    15.7    14.7    14.7 1
-1949  5 30    11.2    10.2    10.2 1
-1949  5 31    12.3    11.3    11.3 1
-1949  6  1    10.9     9.9     9.9 1
-1949  6  2    10.3     9.4     9.4 1
-1949  6  3    15.0    14.1    14.1 1
-1949  6  4    16.1    15.2    15.2 1
-1949  6  5    15.2    14.3    14.3 1
-1949  6  6    14.2    13.3    13.3 1
-1949  6  7    16.0    15.1    15.1 1
-1949  6  8    18.7    17.8    17.8 1
-1949  6  9    15.9    15.0    15.0 1
-1949  6 10    14.9    14.0    14.0 1
-1949  6 11    13.8    12.9    12.9 1
-1949  6 12    12.1    11.2    11.2 1
-1949  6 13    14.3    13.4    13.4 1
-1949  6 14    17.1    16.2    16.2 1
-1949  6 15    12.1    11.2    11.2 1
-1949  6 16    13.6    12.8    12.8 1
-1949  6 17    10.6     9.8     9.8 1
-1949  6 18     9.5     8.7     8.7 1
-1949  6 19    12.3    11.5    11.5 1
-1949  6 20    11.7    10.9    10.9 1
-1949  6 21    10.6     9.8     9.8 1
-1949  6 22    10.1     9.3     9.3 1
-1949  6 23     9.2     8.4     8.4 1
-1949  6 24    13.0    12.2    12.2 1
-1949  6 25    15.7    14.9    14.9 1
-1949  6 26    13.4    12.6    12.6 1
-1949  6 27    11.1    10.3    10.3 1
-1949  6 28    12.9    12.1    12.1 1
-1949  6 29    13.6    12.8    12.8 1
-1949  6 30    17.3    16.5    16.5 1
-1949  7  1    18.5    17.7    17.7 1
-1949  7  2    18.6    17.8    17.8 1
-1949  7  3    19.2    18.4    18.4 1
-1949  7  4    20.7    19.9    19.9 1
-1949  7  5    20.6    19.8    19.8 1
-1949  7  6    21.0    20.2    20.2 1
-1949  7  7    20.9    20.1    20.1 1
-1949  7  8    18.2    17.4    17.4 1
-1949  7  9    19.1    18.3    18.3 1
-1949  7 10    20.1    19.3    19.3 1
-1949  7 11    21.1    20.3    20.3 1
-1949  7 12    19.6    18.8    18.8 1
-1949  7 13    17.0    16.2    16.2 1
-1949  7 14    14.8    14.0    14.0 1
-1949  7 15    15.9    15.1    15.1 1
-1949  7 16    16.6    15.8    15.8 1
-1949  7 17    16.8    16.0    16.0 1
-1949  7 18    17.2    16.4    16.4 1
-1949  7 19    17.5    16.7    16.7 1
-1949  7 20    18.6    17.8    17.8 1
-1949  7 21    15.6    14.9    14.9 1
-1949  7 22    16.9    16.2    16.2 1
-1949  7 23    19.6    18.9    18.9 1
-1949  7 24    21.4    20.7    20.7 1
-1949  7 25    17.4    16.7    16.7 1
-1949  7 26    16.7    16.0    16.0 1
-1949  7 27    15.5    14.8    14.8 1
-1949  7 28    15.2    14.5    14.5 1
-1949  7 29    14.1    13.4    13.4 1
-1949  7 30    14.0    13.3    13.3 1
-1949  7 31    16.7    16.0    16.0 1
-1949  8  1    15.4    14.7    14.7 1
-1949  8  2    16.3    15.6    15.6 1
-1949  8  3    16.9    16.2    16.2 1
-1949  8  4    16.5    15.9    15.9 1
-1949  8  5    15.9    15.3    15.3 1
-1949  8  6    17.6    17.0    17.0 1
-1949  8  7    19.1    18.5    18.5 1
-1949  8  8    16.8    16.2    16.2 1
-1949  8  9    17.7    17.1    17.1 1
-1949  8 10    16.5    15.9    15.9 1
-1949  8 11    15.1    14.5    14.5 1
-1949  8 12    13.2    12.6    12.6 1
-1949  8 13    15.5    14.9    14.9 1
-1949  8 14    16.0    15.4    15.4 1
-1949  8 15    15.4    14.8    14.8 1
-1949  8 16    12.8    12.3    12.3 1
-1949  8 17    11.4    10.9    10.9 1
-1949  8 18     8.9     8.4     8.4 1
-1949  8 19    11.8    11.3    11.3 1
-1949  8 20    12.6    12.1    12.1 1
-1949  8 21    14.5    14.0    14.0 1
-1949  8 22    16.3    15.8    15.8 1
-1949  8 23    14.7    14.2    14.2 1
-1949  8 24    16.0    15.6    15.6 1
-1949  8 25    16.7    16.3    16.3 1
-1949  8 26    16.9    16.5    16.5 1
-1949  8 27    16.8    16.4    16.4 1
-1949  8 28    17.6    17.2    17.2 1
-1949  8 29    17.0    16.6    16.6 1
-1949  8 30    13.9    13.5    13.5 1
-1949  8 31    15.7    15.3    15.3 1
-1949  9  1    17.1    16.8    16.8 1
-1949  9  2    15.8    15.5    15.5 1
-1949  9  3    16.8    16.5    16.5 1
-1949  9  4    17.1    16.8    16.8 1
-1949  9  5    16.1    15.8    15.8 1
-1949  9  6    15.0    14.7    14.7 1
-1949  9  7    17.4    17.1    17.1 1
-1949  9  8    16.9    16.6    16.6 1
-1949  9  9    17.1    16.9    16.9 1
-1949  9 10    17.3    17.1    17.1 1
-1949  9 11    16.4    16.2    16.2 1
-1949  9 12    13.1    12.9    12.9 1
-1949  9 13    13.4    13.2    13.2 1
-1949  9 14    14.9    14.7    14.7 1
-1949  9 15    17.4    17.2    17.2 1
-1949  9 16    17.4    17.2    17.2 1
-1949  9 17    17.0    16.8    16.8 1
-1949  9 18    16.8    16.6    16.6 1
-1949  9 19    15.8    15.6    15.6 1
-1949  9 20    14.8    14.6    14.6 1
-1949  9 21    14.2    14.0    14.0 1
-1949  9 22    11.4    11.2    11.2 1
-1949  9 23    11.2    11.0    11.0 1
-1949  9 24    13.8    13.7    13.7 1
-1949  9 25    14.7    14.6    14.6 1
-1949  9 26    14.4    14.3    14.3 1
-1949  9 27    14.4    14.3    14.3 1
-1949  9 28    14.2    14.1    14.1 1
-1949  9 29    13.6    13.5    13.5 1
-1949  9 30    12.5    12.4    12.4 1
-1949 10  1    11.1    11.0    11.0 1
-1949 10  2    10.5    10.4    10.4 1
-1949 10  3    13.1    13.0    13.0 1
-1949 10  4     7.1     7.0     7.0 1
-1949 10  5     9.7     9.6     9.6 1
-1949 10  6     5.4     5.3     5.3 1
-1949 10  7     4.2     4.1     4.1 1
-1949 10  8     6.6     6.5     6.5 1
-1949 10  9     3.5     3.4     3.4 1
-1949 10 10     4.5     4.4     4.4 1
-1949 10 11     6.8     6.7     6.7 1
-1949 10 12     8.7     8.6     8.6 1
-1949 10 13    11.9    11.8    11.8 1
-1949 10 14    13.1    13.0    13.0 1
-1949 10 15    11.7    11.6    11.6 1
-1949 10 16    13.0    12.9    12.9 1
-1949 10 17    13.0    12.9    12.9 1
-1949 10 18    11.8    11.7    11.7 1
-1949 10 19    12.6    12.4    12.4 1
-1949 10 20    10.9    10.7    10.7 1
-1949 10 21    11.5    11.3    11.3 1
-1949 10 22     9.8     9.6     9.6 1
-1949 10 23     8.7     8.5     8.5 1
-1949 10 24     9.1     8.9     8.9 1
-1949 10 25     6.2     6.0     6.0 1
-1949 10 26     8.2     8.0     8.0 1
-1949 10 27     6.0     5.8     5.8 1
-1949 10 28     0.8     0.6     0.6 1
-1949 10 29     0.8     0.6     0.6 1
-1949 10 30    -0.9    -1.1    -1.1 1
-1949 10 31     3.4     3.2     3.2 1
-1949 11  1     2.9     2.7     2.7 1
-1949 11  2     3.6     3.4     3.4 1
-1949 11  3     8.4     8.1     8.1 1
-1949 11  4     8.0     7.7     7.7 1
-1949 11  5     5.8     5.5     5.5 1
-1949 11  6     5.5     5.2     5.2 1
-1949 11  7     7.5     7.2     7.2 1
-1949 11  8     6.7     6.4     6.4 1
-1949 11  9     8.2     7.9     7.9 1
-1949 11 10     6.7     6.4     6.4 1
-1949 11 11     4.1     3.8     3.8 1
-1949 11 12     5.4     5.1     5.1 1
-1949 11 13     6.1     5.8     5.8 1
-1949 11 14     4.7     4.4     4.4 1
-1949 11 15     2.5     2.2     2.2 1
-1949 11 16     4.6     4.3     4.3 1
-1949 11 17     5.8     5.5     5.5 1
-1949 11 18     5.6     5.3     5.3 1
-1949 11 19     3.7     3.3     3.3 1
-1949 11 20     6.0     5.6     5.6 1
-1949 11 21     7.2     6.8     6.8 1
-1949 11 22     6.3     5.9     5.9 1
-1949 11 23     5.8     5.4     5.4 1
-1949 11 24     3.2     2.8     2.8 1
-1949 11 25     2.7     2.3     2.3 1
-1949 11 26     1.4     1.0     1.0 1
-1949 11 27     0.8     0.4     0.4 1
-1949 11 28     0.1    -0.3    -0.3 1
-1949 11 29    -5.7    -6.1    -6.1 1
-1949 11 30    -0.2    -0.6    -0.6 1
-1949 12  1     5.1     4.7     4.7 1
-1949 12  2     5.2     4.8     4.8 1
-1949 12  3     1.0     0.6     0.6 1
-1949 12  4     1.8     1.4     1.4 1
-1949 12  5     0.2    -0.2    -0.2 1
-1949 12  6    -2.2    -2.6    -2.6 1
-1949 12  7    -2.2    -2.6    -2.6 1
-1949 12  8     5.0     4.6     4.6 1
-1949 12  9     2.6     2.2     2.2 1
-1949 12 10     0.6     0.2     0.2 1
-1949 12 11     1.6     1.2     1.2 1
-1949 12 12    -2.1    -2.5    -2.5 1
-1949 12 13    -0.4    -0.8    -0.8 1
-1949 12 14     4.0     3.6     3.6 1
-1949 12 15     3.4     3.0     3.0 1
-1949 12 16     1.7     1.3     1.3 1
-1949 12 17     3.0     2.6     2.6 1
-1949 12 18     3.3     2.9     2.9 1
-1949 12 19     2.0     1.6     1.6 1
-1949 12 20     4.2     3.7     3.7 1
-1949 12 21     3.4     2.9     2.9 1
-1949 12 22     3.2     2.7     2.7 1
-1949 12 23     0.1    -0.4    -0.4 1
-1949 12 24     0.5     0.0     0.0 1
-1949 12 25    -0.6    -1.1    -1.1 1
-1949 12 26     1.3     0.8     0.8 1
-1949 12 27     1.0     0.5     0.5 1
-1949 12 28     0.8     0.3     0.3 1
-1949 12 29     1.6     1.1     1.1 1
-1949 12 30    -0.8    -1.3    -1.3 1
-1949 12 31    -2.4    -2.9    -2.9 1
-1950  1  1    -2.3    -2.9    -2.9 1
-1950  1  2     0.9     0.3     0.3 1
-1950  1  3    -3.0    -3.6    -3.6 1
-1950  1  4   -10.7   -11.3   -11.3 1
-1950  1  5   -15.2   -15.8   -15.8 1
-1950  1  6   -13.1   -13.7   -13.7 1
-1950  1  7    -7.6    -8.2    -8.2 1
-1950  1  8    -4.1    -4.7    -4.7 1
-1950  1  9    -6.8    -7.4    -7.4 1
-1950  1 10   -12.5   -13.1   -13.1 1
-1950  1 11    -6.5    -7.1    -7.1 1
-1950  1 12    -3.3    -3.9    -3.9 1
-1950  1 13    -1.8    -2.4    -2.4 1
-1950  1 14     1.5     0.9     0.9 1
-1950  1 15    -0.4    -1.1    -1.1 1
-1950  1 16    -2.7    -3.4    -3.4 1
-1950  1 17   -11.6   -12.3   -12.3 1
-1950  1 18    -8.1    -8.8    -8.8 1
-1950  1 19    -7.8    -8.5    -8.5 1
-1950  1 20    -1.1    -1.8    -1.8 1
-1950  1 21     2.5     1.8     1.8 1
-1950  1 22     1.0     0.3     0.3 1
-1950  1 23     1.1     0.4     0.4 1
-1950  1 24     1.1     0.4     0.4 1
-1950  1 25    -4.2    -4.9    -4.9 1
-1950  1 26    -1.4    -2.1    -2.1 1
-1950  1 27    -2.7    -3.4    -3.4 1
-1950  1 28    -2.0    -2.7    -2.7 1
-1950  1 29    -4.5    -5.2    -5.2 1
-1950  1 30    -4.9    -5.6    -5.6 1
-1950  1 31    -5.4    -6.1    -6.1 1
-1950  2  1    -1.7    -2.4    -2.4 1
-1950  2  2    -1.7    -2.4    -2.4 1
-1950  2  3    -1.2    -1.9    -1.9 1
-1950  2  4     0.6    -0.1    -0.1 1
-1950  2  5     1.3     0.6     0.6 1
-1950  2  6     0.8     0.1     0.1 1
-1950  2  7     0.8     0.1     0.1 1
-1950  2  8    -0.4    -1.1    -1.1 1
-1950  2  9     0.9     0.2     0.2 1
-1950  2 10     0.6    -0.1    -0.1 1
-1950  2 11    -0.4    -1.1    -1.1 1
-1950  2 12    -1.8    -2.5    -2.5 1
-1950  2 13    -1.1    -1.8    -1.8 1
-1950  2 14    -3.7    -4.4    -4.4 1
-1950  2 15    -5.6    -6.3    -6.3 1
-1950  2 16    -1.9    -2.6    -2.6 1
-1950  2 17     3.7     3.0     3.0 1
-1950  2 18     3.6     2.9     2.9 1
-1950  2 19     2.3     1.6     1.6 1
-1950  2 20     1.2     0.5     0.5 1
-1950  2 21    -0.3    -1.0    -1.0 1
-1950  2 22    -0.4    -1.1    -1.1 1
-1950  2 23    -2.2    -2.9    -2.9 1
-1950  2 24    -2.6    -3.3    -3.3 1
-1950  2 25    -4.2    -4.9    -4.9 1
-1950  2 26    -4.5    -5.2    -5.2 1
-1950  2 27    -4.6    -5.3    -5.3 1
-1950  2 28    -4.8    -5.5    -5.5 1
-1950  3  1    -4.8    -5.5    -5.5 1
-1950  3  2    -6.0    -6.7    -6.7 1
-1950  3  3    -1.3    -2.0    -2.0 1
-1950  3  4     3.3     2.6     2.6 1
-1950  3  5     6.2     5.5     5.5 1
-1950  3  6     6.6     5.9     5.9 1
-1950  3  7     4.4     3.7     3.7 1
-1950  3  8     0.0    -0.7    -0.7 1
-1950  3  9    -0.8    -1.5    -1.5 1
-1950  3 10    -1.0    -1.7    -1.7 1
-1950  3 11    -0.1    -0.9    -0.9 1
-1950  3 12    -3.0    -3.8    -3.8 1
-1950  3 13    -6.2    -7.0    -7.0 1
-1950  3 14    -4.9    -5.7    -5.7 1
-1950  3 15    -3.0    -3.8    -3.8 1
-1950  3 16    -0.6    -1.4    -1.4 1
-1950  3 17     2.7     1.9     1.9 1
-1950  3 18     6.5     5.7     5.7 1
-1950  3 19     7.9     7.2     7.2 1
-1950  3 20     6.6     5.9     5.9 1
-1950  3 21     4.1     3.4     3.4 1
-1950  3 22     3.6     2.9     2.9 1
-1950  3 23     1.9     1.2     1.2 1
-1950  3 24     2.9     2.2     2.2 1
-1950  3 25     3.3     2.6     2.6 1
-1950  3 26     3.4     2.7     2.7 1
-1950  3 27     6.1     5.4     5.4 1
-1950  3 28     2.2     1.5     1.5 1
-1950  3 29     3.0     2.3     2.3 1
-1950  3 30     2.7     2.0     2.0 1
-1950  3 31     4.9     4.2     4.2 1
-1950  4  1     7.2     6.5     6.5 1
-1950  4  2     5.2     4.5     4.5 1
-1950  4  3     4.7     4.0     4.0 1
-1950  4  4     4.7     4.0     4.0 1
-1950  4  5     2.9     2.2     2.2 1
-1950  4  6     4.5     3.8     3.8 1
-1950  4  7     5.6     5.0     5.0 1
-1950  4  8     4.4     3.8     3.8 1
-1950  4  9     5.0     4.4     4.4 1
-1950  4 10     5.0     4.4     4.4 1
-1950  4 11     4.1     3.5     3.5 1
-1950  4 12     5.1     4.5     4.5 1
-1950  4 13     4.8     4.2     4.2 1
-1950  4 14     3.5     2.9     2.9 1
-1950  4 15     7.2     6.6     6.6 1
-1950  4 16     6.5     5.9     5.9 1
-1950  4 17     5.3     4.7     4.7 1
-1950  4 18     5.5     4.8     4.8 1
-1950  4 19     6.4     5.7     5.7 1
-1950  4 20     8.4     7.7     7.7 1
-1950  4 21     8.7     8.0     8.0 1
-1950  4 22     9.8     9.1     9.1 1
-1950  4 23     9.9     9.2     9.2 1
-1950  4 24     6.5     5.7     5.7 1
-1950  4 25     6.2     5.4     5.4 1
-1950  4 26     5.5     4.7     4.7 1
-1950  4 27     5.9     5.1     5.1 1
-1950  4 28     5.3     4.5     4.5 1
-1950  4 29     5.1     4.3     4.3 1
-1950  4 30     7.4     6.5     6.5 1
-1950  5  1     8.7     7.8     7.8 1
-1950  5  2    10.9    10.0    10.0 1
-1950  5  3    12.4    11.5    11.5 1
-1950  5  4    11.1    10.2    10.2 1
-1950  5  5    11.1    10.2    10.2 1
-1950  5  6    12.2    11.2    11.2 1
-1950  5  7    12.4    11.4    11.4 1
-1950  5  8    10.7     9.7     9.7 1
-1950  5  9    13.8    12.8    12.8 1
-1950  5 10    13.9    12.9    12.9 1
-1950  5 11    14.7    13.7    13.7 1
-1950  5 12    14.7    13.6    13.6 1
-1950  5 13    16.2    15.1    15.1 1
-1950  5 14    10.5     9.4     9.4 1
-1950  5 15     6.8     5.7     5.7 1
-1950  5 16     8.5     7.4     7.4 1
-1950  5 17     7.8     6.7     6.7 1
-1950  5 18     8.6     7.5     7.5 1
-1950  5 19    10.2     9.1     9.1 1
-1950  5 20    12.7    11.6    11.6 1
-1950  5 21    10.3     9.2     9.2 1
-1950  5 22    12.2    11.2    11.2 1
-1950  5 23    10.9     9.9     9.9 1
-1950  5 24     9.7     8.7     8.7 1
-1950  5 25    12.4    11.4    11.4 1
-1950  5 26    13.9    12.9    12.9 1
-1950  5 27    10.5     9.5     9.5 1
-1950  5 28    11.4    10.4    10.4 1
-1950  5 29    13.2    12.2    12.2 1
-1950  5 30    12.2    11.2    11.2 1
-1950  5 31     9.8     8.8     8.8 1
-1950  6  1     9.8     8.8     8.8 1
-1950  6  2    15.0    14.0    14.0 1
-1950  6  3    18.5    17.5    17.5 1
-1950  6  4    19.9    19.0    19.0 1
-1950  6  5    21.4    20.5    20.5 1
-1950  6  6    17.0    16.1    16.1 1
-1950  6  7    19.9    19.0    19.0 1
-1950  6  8    22.3    21.4    21.4 1
-1950  6  9    15.0    14.1    14.1 1
-1950  6 10    10.9    10.0    10.0 1
-1950  6 11    10.1     9.2     9.2 1
-1950  6 12    11.9    11.0    11.0 1
-1950  6 13    12.6    11.7    11.7 1
-1950  6 14    12.7    11.8    11.8 1
-1950  6 15    15.2    14.3    14.3 1
-1950  6 16    15.6    14.7    14.7 1
-1950  6 17    16.2    15.3    15.3 1
-1950  6 18    17.3    16.4    16.4 1
-1950  6 19    16.9    16.0    16.0 1
-1950  6 20    15.9    15.0    15.0 1
-1950  6 21    17.4    16.5    16.5 1
-1950  6 22    16.2    15.3    15.3 1
-1950  6 23    15.9    15.1    15.1 1
-1950  6 24    14.9    14.1    14.1 1
-1950  6 25    14.9    14.1    14.1 1
-1950  6 26    18.3    17.5    17.5 1
-1950  6 27    18.1    17.3    17.3 1
-1950  6 28    15.5    14.7    14.7 1
-1950  6 29    17.1    16.3    16.3 1
-1950  6 30    15.8    15.0    15.0 1
-1950  7  1    14.7    13.9    13.9 1
-1950  7  2    15.5    14.7    14.7 1
-1950  7  3    13.6    12.8    12.8 1
-1950  7  4    13.9    13.1    13.1 1
-1950  7  5    15.1    14.3    14.3 1
-1950  7  6    14.3    13.5    13.5 1
-1950  7  7    14.4    13.6    13.6 1
-1950  7  8    17.7    16.9    16.9 1
-1950  7  9    15.0    14.2    14.2 1
-1950  7 10    17.0    16.2    16.2 1
-1950  7 11    13.1    12.3    12.3 1
-1950  7 12    13.9    13.1    13.1 1
-1950  7 13    14.9    14.1    14.1 1
-1950  7 14    15.2    14.4    14.4 1
-1950  7 15    16.6    15.8    15.8 1
-1950  7 16    18.3    17.5    17.5 1
-1950  7 17    18.7    17.9    17.9 1
-1950  7 18    16.8    16.0    16.0 1
-1950  7 19    17.2    16.4    16.4 1
-1950  7 20    16.9    16.1    16.1 1
-1950  7 21    19.4    18.6    18.6 1
-1950  7 22    18.9    18.1    18.1 1
-1950  7 23    17.8    17.1    17.1 1
-1950  7 24    18.1    17.4    17.4 1
-1950  7 25    17.9    17.2    17.2 1
-1950  7 26    16.6    15.9    15.9 1
-1950  7 27    13.2    12.5    12.5 1
-1950  7 28    14.0    13.3    13.3 1
-1950  7 29    15.0    14.3    14.3 1
-1950  7 30    16.0    15.3    15.3 1
-1950  7 31    16.5    15.8    15.8 1
-1950  8  1    17.8    17.1    17.1 1
-1950  8  2    18.2    17.5    17.5 1
-1950  8  3    17.7    17.0    17.0 1
-1950  8  4    18.2    17.5    17.5 1
-1950  8  5    17.7    17.1    17.1 1
-1950  8  6    17.1    16.5    16.5 1
-1950  8  7    16.9    16.3    16.3 1
-1950  8  8    16.9    16.3    16.3 1
-1950  8  9    18.0    17.4    17.4 1
-1950  8 10    18.5    17.9    17.9 1
-1950  8 11    19.2    18.6    18.6 1
-1950  8 12    18.8    18.2    18.2 1
-1950  8 13    19.0    18.4    18.4 1
-1950  8 14    18.4    17.8    17.8 1
-1950  8 15    17.9    17.3    17.3 1
-1950  8 16    17.9    17.3    17.3 1
-1950  8 17    18.8    18.3    18.3 1
-1950  8 18    20.4    19.9    19.9 1
-1950  8 19    18.8    18.3    18.3 1
-1950  8 20    17.6    17.1    17.1 1
-1950  8 21    17.7    17.2    17.2 1
-1950  8 22    17.3    16.8    16.8 1
-1950  8 23    15.4    14.9    14.9 1
-1950  8 24    13.3    12.8    12.8 1
-1950  8 25    13.5    13.1    13.1 1
-1950  8 26    15.4    15.0    15.0 1
-1950  8 27    16.3    15.9    15.9 1
-1950  8 28    17.5    17.1    17.1 1
-1950  8 29    15.4    15.0    15.0 1
-1950  8 30    14.4    14.0    14.0 1
-1950  8 31    14.2    13.8    13.8 1
-1950  9  1    12.6    12.2    12.2 1
-1950  9  2    13.0    12.7    12.7 1
-1950  9  3    13.4    13.1    13.1 1
-1950  9  4    14.1    13.8    13.8 1
-1950  9  5    14.6    14.3    14.3 1
-1950  9  6    15.2    14.9    14.9 1
-1950  9  7    14.3    14.0    14.0 1
-1950  9  8    13.6    13.3    13.3 1
-1950  9  9    11.4    11.2    11.2 1
-1950  9 10    12.6    12.4    12.4 1
-1950  9 11    12.3    12.1    12.1 1
-1950  9 12    12.9    12.7    12.7 1
-1950  9 13    12.5    12.3    12.3 1
-1950  9 14    13.1    12.9    12.9 1
-1950  9 15    14.5    14.3    14.3 1
-1950  9 16    14.6    14.4    14.4 1
-1950  9 17    13.2    13.0    13.0 1
-1950  9 18    14.3    14.1    14.1 1
-1950  9 19    12.7    12.5    12.5 1
-1950  9 20    12.8    12.6    12.6 1
-1950  9 21    11.5    11.3    11.3 1
-1950  9 22    11.5    11.3    11.3 1
-1950  9 23    10.1     9.9     9.9 1
-1950  9 24     9.6     9.4     9.4 1
-1950  9 25     9.7     9.5     9.5 1
-1950  9 26    11.2    11.0    11.0 1
-1950  9 27     9.7     9.5     9.5 1
-1950  9 28    11.7    11.5    11.5 1
-1950  9 29    10.8    10.6    10.6 1
-1950  9 30    10.0     9.8     9.8 1
-1950 10  1    11.4    11.3    11.3 1
-1950 10  2    11.9    11.8    11.8 1
-1950 10  3    10.9    10.8    10.8 1
-1950 10  4     8.7     8.6     8.6 1
-1950 10  5     8.2     8.1     8.1 1
-1950 10  6    12.0    11.9    11.9 1
-1950 10  7    11.9    11.8    11.8 1
-1950 10  8    11.9    11.8    11.8 1
-1950 10  9    10.7    10.6    10.6 1
-1950 10 10     9.0     8.9     8.9 1
-1950 10 11     8.4     8.3     8.3 1
-1950 10 12     8.5     8.4     8.4 1
-1950 10 13     6.3     6.2     6.2 1
-1950 10 14     7.0     6.9     6.9 1
-1950 10 15     9.6     9.5     9.5 1
-1950 10 16     9.5     9.4     9.4 1
-1950 10 17     8.7     8.6     8.6 1
-1950 10 18     7.7     7.5     7.5 1
-1950 10 19     5.9     5.7     5.7 1
-1950 10 20     9.0     8.8     8.8 1
-1950 10 21     6.8     6.6     6.6 1
-1950 10 22     3.4     3.2     3.2 1
-1950 10 23     3.4     3.2     3.2 1
-1950 10 24     3.4     3.2     3.2 1
-1950 10 25     3.7     3.5     3.5 1
-1950 10 26     3.6     3.4     3.4 1
-1950 10 27     3.5     3.3     3.3 1
-1950 10 28     4.8     4.6     4.6 1
-1950 10 29     3.8     3.6     3.6 1
-1950 10 30     5.1     4.9     4.9 1
-1950 10 31     6.4     6.2     6.2 1
-1950 11  1     6.6     6.4     6.4 1
-1950 11  2     6.8     6.5     6.5 1
-1950 11  3     4.4     4.1     4.1 1
-1950 11  4     4.0     3.7     3.7 1
-1950 11  5     2.9     2.6     2.6 1
-1950 11  6     1.2     0.9     0.9 1
-1950 11  7     0.5     0.2     0.2 1
-1950 11  8     0.3     0.0     0.0 1
-1950 11  9     1.0     0.7     0.7 1
-1950 11 10     3.5     3.2     3.2 1
-1950 11 11     6.2     5.9     5.9 1
-1950 11 12     4.2     3.9     3.9 1
-1950 11 13     5.7     5.4     5.4 1
-1950 11 14     4.1     3.8     3.8 1
-1950 11 15     1.5     1.2     1.2 1
-1950 11 16     1.1     0.8     0.8 1
-1950 11 17    -1.8    -2.2    -2.2 1
-1950 11 18    -1.8    -2.2    -2.2 1
-1950 11 19    -2.9    -3.3    -3.3 1
-1950 11 20    -2.3    -2.7    -2.7 1
-1950 11 21     2.0     1.6     1.6 1
-1950 11 22     4.1     3.7     3.7 1
-1950 11 23     4.9     4.5     4.5 1
-1950 11 24     6.2     5.8     5.8 1
-1950 11 25     2.2     1.8     1.8 1
-1950 11 26     0.0    -0.4    -0.4 1
-1950 11 27     1.6     1.2     1.2 1
-1950 11 28     3.8     3.4     3.4 1
-1950 11 29     1.6     1.2     1.2 1
-1950 11 30    -1.8    -2.2    -2.2 1
-1950 12  1     3.1     2.7     2.7 1
-1950 12  2     0.9     0.5     0.5 1
-1950 12  3     1.6     1.2     1.2 1
-1950 12  4    -1.0    -1.4    -1.4 1
-1950 12  5    -0.2    -0.6    -0.6 1
-1950 12  6    -0.3    -0.7    -0.7 1
-1950 12  7    -6.2    -6.6    -6.6 1
-1950 12  8    -5.1    -5.5    -5.5 1
-1950 12  9    -0.9    -1.3    -1.3 1
-1950 12 10     1.5     1.1     1.1 1
-1950 12 11     3.2     2.8     2.8 1
-1950 12 12     2.6     2.2     2.2 1
-1950 12 13     2.2     1.8     1.8 1
-1950 12 14     0.8     0.4     0.4 1
-1950 12 15     3.5     3.1     3.1 1
-1950 12 16     5.3     4.9     4.9 1
-1950 12 17     5.5     5.1     5.1 1
-1950 12 18     1.4     0.9     0.9 1
-1950 12 19     0.0    -0.5    -0.5 1
-1950 12 20    -2.1    -2.6    -2.6 1
-1950 12 21     0.5     0.0     0.0 1
-1950 12 22    -0.1    -0.6    -0.6 1
-1950 12 23     0.0    -0.5    -0.5 1
-1950 12 24     0.6     0.1     0.1 1
-1950 12 25     0.2    -0.3    -0.3 1
-1950 12 26    -5.2    -5.7    -5.7 1
-1950 12 27    -6.6    -7.1    -7.1 1
-1950 12 28    -4.7    -5.2    -5.2 1
-1950 12 29    -5.7    -6.2    -6.2 1
-1950 12 30    -8.6    -9.1    -9.1 1
-1950 12 31    -5.2    -5.7    -5.7 1
-1951  1  1    -7.2    -7.8    -7.8 1
-1951  1  2    -2.1    -2.7    -2.7 1
-1951  1  3    -1.0    -1.6    -1.6 1
-1951  1  4    -2.2    -2.8    -2.8 1
-1951  1  5    -4.2    -4.8    -4.8 1
-1951  1  6    -3.0    -3.6    -3.6 1
-1951  1  7    -7.5    -8.1    -8.1 1
-1951  1  8    -5.0    -5.6    -5.6 1
-1951  1  9    -7.7    -8.3    -8.3 1
-1951  1 10    -7.9    -8.5    -8.5 1
-1951  1 11    -2.0    -2.6    -2.6 1
-1951  1 12     0.5    -0.1    -0.1 1
-1951  1 13     0.8     0.2     0.2 1
-1951  1 14     1.4     0.7     0.7 1
-1951  1 15     0.5    -0.2    -0.2 1
-1951  1 16    -0.9    -1.6    -1.6 1
-1951  1 17    -4.7    -5.4    -5.4 1
-1951  1 18     1.1     0.4     0.4 1
-1951  1 19     1.8     1.1     1.1 1
-1951  1 20     0.8     0.1     0.1 1
-1951  1 21    -5.8    -6.5    -6.5 1
-1951  1 22    -8.0    -8.7    -8.7 1
-1951  1 23    -6.5    -7.2    -7.2 1
-1951  1 24    -3.2    -3.9    -3.9 1
-1951  1 25    -1.8    -2.5    -2.5 1
-1951  1 26    -4.2    -4.9    -4.9 1
-1951  1 27    -2.5    -3.2    -3.2 1
-1951  1 28    -3.3    -4.0    -4.0 1
-1951  1 29    -1.0    -1.7    -1.7 1
-1951  1 30    -0.7    -1.4    -1.4 1
-1951  1 31     0.1    -0.6    -0.6 1
-1951  2  1    -1.1    -1.8    -1.8 1
-1951  2  2    -2.6    -3.3    -3.3 1
-1951  2  3    -3.0    -3.7    -3.7 1
-1951  2  4    -2.9    -3.6    -3.6 1
-1951  2  5    -1.3    -2.0    -2.0 1
-1951  2  6    -0.1    -0.8    -0.8 1
-1951  2  7     0.9     0.2     0.2 1
-1951  2  8     0.2    -0.5    -0.5 1
-1951  2  9     1.4     0.7     0.7 1
-1951  2 10     1.5     0.8     0.8 1
-1951  2 11     0.9     0.2     0.2 1
-1951  2 12    -0.8    -1.5    -1.5 1
-1951  2 13    -0.7    -1.4    -1.4 1
-1951  2 14    -4.2    -4.9    -4.9 1
-1951  2 15    -8.1    -8.8    -8.8 1
-1951  2 16    -5.2    -5.9    -5.9 1
-1951  2 17    -2.6    -3.3    -3.3 1
-1951  2 18    -0.2    -0.9    -0.9 1
-1951  2 19     1.5     0.8     0.8 1
-1951  2 20     1.3     0.6     0.6 1
-1951  2 21     0.8     0.1     0.1 1
-1951  2 22     0.0    -0.7    -0.7 1
-1951  2 23     0.5    -0.2    -0.2 1
-1951  2 24    -2.5    -3.2    -3.2 1
-1951  2 25    -1.2    -1.9    -1.9 1
-1951  2 26    -1.7    -2.4    -2.4 1
-1951  2 27    -1.4    -2.1    -2.1 1
-1951  2 28    -2.7    -3.4    -3.4 1
-1951  3  1    -2.5    -3.2    -3.2 1
-1951  3  2    -0.3    -1.0    -1.0 1
-1951  3  3    -1.1    -1.8    -1.8 1
-1951  3  4    -0.9    -1.6    -1.6 1
-1951  3  5    -1.2    -1.9    -1.9 1
-1951  3  6    -1.8    -2.5    -2.5 1
-1951  3  7    -0.7    -1.4    -1.4 1
-1951  3  8    -2.4    -3.2    -3.2 1
-1951  3  9    -3.0    -3.8    -3.8 1
-1951  3 10    -5.4    -6.2    -6.2 1
-1951  3 11    -7.4    -8.2    -8.2 1
-1951  3 12    -3.9    -4.7    -4.7 1
-1951  3 13    -0.6    -1.4    -1.4 1
-1951  3 14    -2.3    -3.1    -3.1 1
-1951  3 15    -4.1    -4.9    -4.9 1
-1951  3 16    -6.2    -7.0    -7.0 1
-1951  3 17    -7.5    -8.3    -8.3 1
-1951  3 18    -5.0    -5.8    -5.8 1
-1951  3 19    -6.3    -7.1    -7.1 1
-1951  3 20    -5.3    -6.1    -6.1 1
-1951  3 21    -6.1    -6.8    -6.8 1
-1951  3 22    -4.5    -5.2    -5.2 1
-1951  3 23     0.3    -0.4    -0.4 1
-1951  3 24    -3.3    -4.0    -4.0 1
-1951  3 25    -2.0    -2.7    -2.7 1
-1951  3 26    -0.1    -0.8    -0.8 1
-1951  3 27    -0.4    -1.1    -1.1 1
-1951  3 28    -1.0    -1.7    -1.7 1
-1951  3 29    -1.1    -1.8    -1.8 1
-1951  3 30    -0.5    -1.2    -1.2 1
-1951  3 31     0.5    -0.2    -0.2 1
-1951  4  1     0.6    -0.1    -0.1 1
-1951  4  2     0.5    -0.2    -0.2 1
-1951  4  3     0.9     0.2     0.2 1
-1951  4  4     1.4     0.7     0.7 1
-1951  4  5     3.6     2.9     2.9 1
-1951  4  6     3.2     2.5     2.5 1
-1951  4  7     3.3     2.6     2.6 1
-1951  4  8     5.3     4.6     4.6 1
-1951  4  9     4.7     4.0     4.0 1
-1951  4 10     2.3     1.7     1.7 1
-1951  4 11     3.0     2.4     2.4 1
-1951  4 12     4.7     4.1     4.1 1
-1951  4 13     4.2     3.6     3.6 1
-1951  4 14     4.7     4.1     4.1 1
-1951  4 15     3.1     2.5     2.5 1
-1951  4 16     3.6     3.0     3.0 1
-1951  4 17     4.7     4.0     4.0 1
-1951  4 18     4.7     4.0     4.0 1
-1951  4 19     3.2     2.5     2.5 1
-1951  4 20     1.8     1.1     1.1 1
-1951  4 21     3.9     3.2     3.2 1
-1951  4 22     4.9     4.2     4.2 1
-1951  4 23     6.4     5.6     5.6 1
-1951  4 24     9.0     8.2     8.2 1
-1951  4 25     9.9     9.1     9.1 1
-1951  4 26     9.4     8.6     8.6 1
-1951  4 27    12.1    11.3    11.3 1
-1951  4 28     8.1     7.3     7.3 1
-1951  4 29     7.6     6.7     6.7 1
-1951  4 30     8.7     7.8     7.8 1
-1951  5  1     9.9     9.0     9.0 1
-1951  5  2     6.0     5.1     5.1 1
-1951  5  3     9.3     8.4     8.4 1
-1951  5  4     7.9     7.0     7.0 1
-1951  5  5     5.5     4.5     4.5 1
-1951  5  6     6.2     5.2     5.2 1
-1951  5  7     5.6     4.6     4.6 1
-1951  5  8     5.9     4.9     4.9 1
-1951  5  9     5.1     4.1     4.1 1
-1951  5 10     6.5     5.5     5.5 1
-1951  5 11     5.9     4.8     4.8 1
-1951  5 12     9.1     8.0     8.0 1
-1951  5 13     8.7     7.6     7.6 1
-1951  5 14     7.4     6.3     6.3 1
-1951  5 15     7.7     6.6     6.6 1
-1951  5 16     7.5     6.4     6.4 1
-1951  5 17     9.7     8.6     8.6 1
-1951  5 18    12.6    11.5    11.5 1
-1951  5 19    11.9    10.8    10.8 1
-1951  5 20    13.4    12.3    12.3 1
-1951  5 21     9.9     8.8     8.8 1
-1951  5 22     8.5     7.4     7.4 1
-1951  5 23     8.3     7.2     7.2 1
-1951  5 24     6.9     5.9     5.9 1
-1951  5 25     7.0     6.0     6.0 1
-1951  5 26     9.5     8.5     8.5 1
-1951  5 27    11.0    10.0    10.0 1
-1951  5 28     7.8     6.8     6.8 1
-1951  5 29     6.1     5.1     5.1 1
-1951  5 30     8.8     7.8     7.8 1
-1951  5 31    11.0    10.0    10.0 1
-1951  6  1    16.6    15.6    15.6 1
-1951  6  2    13.2    12.2    12.2 1
-1951  6  3    13.1    12.1    12.1 1
-1951  6  4    14.4    13.4    13.4 1
-1951  6  5    16.1    15.1    15.1 1
-1951  6  6     9.8     8.9     8.9 1
-1951  6  7     8.6     7.7     7.7 1
-1951  6  8    10.1     9.2     9.2 1
-1951  6  9    13.1    12.2    12.2 1
-1951  6 10    14.1    13.2    13.2 1
-1951  6 11    10.4     9.5     9.5 1
-1951  6 12    11.4    10.5    10.5 1
-1951  6 13    12.2    11.3    11.3 1
-1951  6 14    14.3    13.4    13.4 1
-1951  6 15    17.0    16.1    16.1 1
-1951  6 16    15.7    14.8    14.8 1
-1951  6 17    16.8    15.9    15.9 1
-1951  6 18    15.3    14.4    14.4 1
-1951  6 19    14.7    13.8    13.8 1
-1951  6 20    15.3    14.4    14.4 1
-1951  6 21    16.1    15.2    15.2 1
-1951  6 22    17.5    16.6    16.6 1
-1951  6 23    17.0    16.1    16.1 1
-1951  6 24    16.7    15.8    15.8 1
-1951  6 25    19.2    18.3    18.3 1
-1951  6 26    15.2    14.3    14.3 1
-1951  6 27    17.5    16.6    16.6 1
-1951  6 28    15.1    14.2    14.2 1
-1951  6 29    12.7    11.8    11.8 1
-1951  6 30    13.9    13.1    13.1 1
-1951  7  1    16.8    16.0    16.0 1
-1951  7  2    15.4    14.6    14.6 1
-1951  7  3    16.6    15.8    15.8 1
-1951  7  4    13.7    12.9    12.9 1
-1951  7  5    11.2    10.4    10.4 1
-1951  7  6    12.5    11.7    11.7 1
-1951  7  7    14.3    13.5    13.5 1
-1951  7  8    16.2    15.4    15.4 1
-1951  7  9    15.3    14.5    14.5 1
-1951  7 10    16.5    15.7    15.7 1
-1951  7 11    18.3    17.5    17.5 1
-1951  7 12    21.7    20.9    20.9 1
-1951  7 13    19.4    18.6    18.6 1
-1951  7 14    18.7    17.9    17.9 1
-1951  7 15    18.2    17.4    17.4 1
-1951  7 16    18.5    17.7    17.7 1
-1951  7 17    18.4    17.6    17.6 1
-1951  7 18    15.0    14.2    14.2 1
-1951  7 19    12.9    12.1    12.1 1
-1951  7 20    12.6    11.8    11.8 1
-1951  7 21    13.4    12.6    12.6 1
-1951  7 22    15.1    14.3    14.3 1
-1951  7 23    17.0    16.2    16.2 1
-1951  7 24    17.3    16.5    16.5 1
-1951  7 25    18.7    18.0    18.0 1
-1951  7 26    20.5    19.8    19.8 1
-1951  7 27    19.8    19.1    19.1 1
-1951  7 28    19.7    19.0    19.0 1
-1951  7 29    17.3    16.6    16.6 1
-1951  7 30    16.6    15.9    15.9 1
-1951  7 31    15.9    15.2    15.2 1
-1951  8  1    16.7    16.0    16.0 1
-1951  8  2    18.1    17.4    17.4 1
-1951  8  3    18.5    17.8    17.8 1
-1951  8  4    20.2    19.5    19.5 1
-1951  8  5    18.6    17.9    17.9 1
-1951  8  6    20.8    20.1    20.1 1
-1951  8  7    19.7    19.1    19.1 1
-1951  8  8    19.2    18.6    18.6 1
-1951  8  9    20.8    20.2    20.2 1
-1951  8 10    17.1    16.5    16.5 1
-1951  8 11    15.7    15.1    15.1 1
-1951  8 12    15.3    14.7    14.7 1
-1951  8 13    17.0    16.4    16.4 1
-1951  8 14    15.5    14.9    14.9 1
-1951  8 15    15.1    14.5    14.5 1
-1951  8 16    14.6    14.0    14.0 1
-1951  8 17    13.9    13.3    13.3 1
-1951  8 18    15.8    15.3    15.3 1
-1951  8 19    16.0    15.5    15.5 1
-1951  8 20    17.2    16.7    16.7 1
-1951  8 21    16.3    15.8    15.8 1
-1951  8 22    17.8    17.3    17.3 1
-1951  8 23    16.8    16.3    16.3 1
-1951  8 24    17.1    16.6    16.6 1
-1951  8 25    17.1    16.6    16.6 1
-1951  8 26    16.9    16.5    16.5 1
-1951  8 27    18.4    18.0    18.0 1
-1951  8 28    17.6    17.2    17.2 1
-1951  8 29    17.7    17.3    17.3 1
-1951  8 30    18.7    18.3    18.3 1
-1951  8 31    19.7    19.3    19.3 1
-1951  9  1    20.0    19.6    19.6 1
-1951  9  2    15.6    15.3    15.3 1
-1951  9  3    16.5    16.2    16.2 1
-1951  9  4    15.6    15.3    15.3 1
-1951  9  5    18.0    17.7    17.7 1
-1951  9  6    18.8    18.5    18.5 1
-1951  9  7    17.8    17.5    17.5 1
-1951  9  8    13.3    13.0    13.0 1
-1951  9  9    11.4    11.1    11.1 1
-1951  9 10    13.1    12.9    12.9 1
-1951  9 11    14.8    14.6    14.6 1
-1951  9 12    15.7    15.5    15.5 1
-1951  9 13    16.0    15.8    15.8 1
-1951  9 14    17.4    17.2    17.2 1
-1951  9 15    15.0    14.8    14.8 1
-1951  9 16    14.3    14.1    14.1 1
-1951  9 17    10.9    10.7    10.7 1
-1951  9 18    10.6    10.4    10.4 1
-1951  9 19     8.2     8.0     8.0 1
-1951  9 20     6.8     6.6     6.6 1
-1951  9 21     7.0     6.8     6.8 1
-1951  9 22    10.1     9.9     9.9 1
-1951  9 23    12.7    12.5    12.5 1
-1951  9 24    12.6    12.4    12.4 1
-1951  9 25    12.0    11.8    11.8 1
-1951  9 26    12.0    11.8    11.8 1
-1951  9 27    13.0    12.8    12.8 1
-1951  9 28    13.7    13.5    13.5 1
-1951  9 29    13.8    13.6    13.6 1
-1951  9 30    11.3    11.1    11.1 1
-1951 10  1    10.0     9.8     9.8 1
-1951 10  2    10.6    10.4    10.4 1
-1951 10  3     9.6     9.4     9.4 1
-1951 10  4     9.1     8.9     8.9 1
-1951 10  5     9.0     8.8     8.8 1
-1951 10  6     9.6     9.4     9.4 1
-1951 10  7     9.6     9.5     9.5 1
-1951 10  8     9.5     9.4     9.4 1
-1951 10  9     9.6     9.5     9.5 1
-1951 10 10     8.9     8.8     8.8 1
-1951 10 11     8.5     8.4     8.4 1
-1951 10 12     8.1     8.0     8.0 1
-1951 10 13    10.3    10.2    10.2 1
-1951 10 14    10.3    10.2    10.2 1
-1951 10 15    10.1    10.0    10.0 1
-1951 10 16     7.8     7.7     7.7 1
-1951 10 17     8.5     8.3     8.3 1
-1951 10 18     7.7     7.5     7.5 1
-1951 10 19     7.5     7.3     7.3 1
-1951 10 20     9.3     9.1     9.1 1
-1951 10 21     8.9     8.7     8.7 1
-1951 10 22     9.1     8.9     8.9 1
-1951 10 23     7.2     7.0     7.0 1
-1951 10 24     5.1     4.9     4.9 1
-1951 10 25     9.3     9.1     9.1 1
-1951 10 26     7.6     7.4     7.4 1
-1951 10 27     8.3     8.1     8.1 1
-1951 10 28     6.7     6.5     6.5 1
-1951 10 29     6.5     6.3     6.3 1
-1951 10 30     7.5     7.3     7.3 1
-1951 10 31     8.1     7.8     7.8 1
-1951 11  1     6.8     6.5     6.5 1
-1951 11  2     6.6     6.3     6.3 1
-1951 11  3     3.8     3.5     3.5 1
-1951 11  4     1.4     1.1     1.1 1
-1951 11  5     2.9     2.6     2.6 1
-1951 11  6     4.8     4.5     4.5 1
-1951 11  7     6.0     5.7     5.7 1
-1951 11  8     7.1     6.8     6.8 1
-1951 11  9     5.9     5.6     5.6 1
-1951 11 10     3.5     3.2     3.2 1
-1951 11 11     1.8     1.5     1.5 1
-1951 11 12     3.8     3.5     3.5 1
-1951 11 13     2.2     1.9     1.9 1
-1951 11 14     0.8     0.5     0.5 1
-1951 11 15    -1.8    -2.2    -2.2 1
-1951 11 16     2.9     2.5     2.5 1
-1951 11 17     7.0     6.6     6.6 1
-1951 11 18     7.8     7.4     7.4 1
-1951 11 19     7.0     6.6     6.6 1
-1951 11 20     8.2     7.8     7.8 1
-1951 11 21     8.0     7.6     7.6 1
-1951 11 22     7.7     7.3     7.3 1
-1951 11 23     6.2     5.8     5.8 1
-1951 11 24     3.4     3.0     3.0 1
-1951 11 25     4.1     3.7     3.7 1
-1951 11 26     1.4     1.0     1.0 1
-1951 11 27     3.7     3.3     3.3 1
-1951 11 28     4.2     3.8     3.8 1
-1951 11 29    -0.2    -0.6    -0.6 1
-1951 11 30     0.8     0.4     0.4 1
-1951 12  1     4.8     4.4     4.4 1
-1951 12  2    -0.3    -0.7    -0.7 1
-1951 12  3    -3.6    -4.0    -4.0 1
-1951 12  4     0.9     0.5     0.5 1
-1951 12  5     5.2     4.8     4.8 1
-1951 12  6     3.9     3.5     3.5 1
-1951 12  7     0.6     0.2     0.2 1
-1951 12  8    -0.2    -0.6    -0.6 1
-1951 12  9     5.0     4.6     4.6 1
-1951 12 10    -2.9    -3.3    -3.3 1
-1951 12 11    -2.9    -3.3    -3.3 1
-1951 12 12    -1.4    -1.8    -1.8 1
-1951 12 13     1.4     1.0     1.0 1
-1951 12 14     2.6     2.2     2.2 1
-1951 12 15     6.3     5.9     5.9 1
-1951 12 16     1.9     1.5     1.5 1
-1951 12 17    -0.5    -1.0    -1.0 1
-1951 12 18     3.6     3.1     3.1 1
-1951 12 19     5.6     5.1     5.1 1
-1951 12 20     5.0     4.5     4.5 1
-1951 12 21     3.7     3.2     3.2 1
-1951 12 22     3.1     2.6     2.6 1
-1951 12 23     4.2     3.7     3.7 1
-1951 12 24     3.3     2.8     2.8 1
-1951 12 25     5.7     5.2     5.2 1
-1951 12 26     4.2     3.7     3.7 1
-1951 12 27     2.4     1.9     1.9 1
-1951 12 28     3.2     2.7     2.7 1
-1951 12 29     4.1     3.6     3.6 1
-1951 12 30     2.3     1.8     1.8 1
-1951 12 31     3.6     3.0     3.0 1
-1952  1  1     3.7     3.1     3.1 1
-1952  1  2     0.9     0.3     0.3 1
-1952  1  3    -0.6    -1.2    -1.2 1
-1952  1  4    -2.4    -3.0    -3.0 1
-1952  1  5    -4.1    -4.7    -4.7 1
-1952  1  6    -2.1    -2.7    -2.7 1
-1952  1  7     6.1     5.5     5.5 1
-1952  1  8     2.2     1.6     1.6 1
-1952  1  9     4.4     3.8     3.8 1
-1952  1 10     1.4     0.8     0.8 1
-1952  1 11     0.9     0.3     0.3 1
-1952  1 12    -0.6    -1.2    -1.2 1
-1952  1 13    -2.8    -3.5    -3.5 1
-1952  1 14    -1.3    -2.0    -2.0 1
-1952  1 15     1.0     0.3     0.3 1
-1952  1 16     2.5     1.8     1.8 1
-1952  1 17     0.1    -0.6    -0.6 1
-1952  1 18     0.7     0.0     0.0 1
-1952  1 19     0.6    -0.1    -0.1 1
-1952  1 20    -2.3    -3.0    -3.0 1
-1952  1 21    -4.2    -4.9    -4.9 1
-1952  1 22    -6.3    -7.0    -7.0 1
-1952  1 23    -5.3    -6.0    -6.0 1
-1952  1 24    -3.8    -4.5    -4.5 1
-1952  1 25    -1.8    -2.5    -2.5 1
-1952  1 26    -1.9    -2.6    -2.6 1
-1952  1 27    -2.2    -2.9    -2.9 1
-1952  1 28    -2.6    -3.3    -3.3 1
-1952  1 29    -7.7    -8.4    -8.4 1
-1952  1 30    -4.7    -5.4    -5.4 1
-1952  1 31    -2.8    -3.5    -3.5 1
-1952  2  1    -0.4    -1.1    -1.1 1
-1952  2  2     0.9     0.2     0.2 1
-1952  2  3     0.6    -0.1    -0.1 1
-1952  2  4    -0.4    -1.1    -1.1 1
-1952  2  5    -3.0    -3.7    -3.7 1
-1952  2  6    -3.3    -4.0    -4.0 1
-1952  2  7     1.7     1.0     1.0 1
-1952  2  8    -1.2    -1.9    -1.9 1
-1952  2  9    -5.9    -6.6    -6.6 1
-1952  2 10    -3.8    -4.5    -4.5 1
-1952  2 11    -4.3    -5.0    -5.0 1
-1952  2 12    -5.0    -5.7    -5.7 1
-1952  2 13    -7.1    -7.8    -7.8 1
-1952  2 14    -7.2    -7.9    -7.9 1
-1952  2 15    -3.6    -4.3    -4.3 1
-1952  2 16    -1.1    -1.8    -1.8 1
-1952  2 17    -4.7    -5.4    -5.4 1
-1952  2 18    -5.9    -6.6    -6.6 1
-1952  2 19    -3.5    -4.2    -4.2 1
-1952  2 20    -0.6    -1.3    -1.3 1
-1952  2 21     2.6     1.9     1.9 1
-1952  2 22    -0.1    -0.8    -0.8 1
-1952  2 23    -0.3    -1.0    -1.0 1
-1952  2 24    -1.9    -2.6    -2.6 1
-1952  2 25     0.7     0.0     0.0 1
-1952  2 26     3.4     2.7     2.7 1
-1952  2 27     1.8     1.1     1.1 1
-1952  2 28     1.4     0.7     0.7 1
-1952  2 29     1.0     0.3     0.3 1
-1952  3  1    -4.0    -4.7    -4.7 1
-1952  3  2    -5.2    -5.9    -5.9 1
-1952  3  3    -2.7    -3.4    -3.4 1
-1952  3  4    -0.9    -1.6    -1.6 1
-1952  3  5    -1.2    -2.0    -2.0 1
-1952  3  6    -1.7    -2.5    -2.5 1
-1952  3  7    -2.1    -2.9    -2.9 1
-1952  3  8    -1.1    -1.9    -1.9 1
-1952  3  9    -0.4    -1.2    -1.2 1
-1952  3 10     0.7    -0.1    -0.1 1
-1952  3 11     1.8     1.0     1.0 1
-1952  3 12     1.3     0.5     0.5 1
-1952  3 13    -2.7    -3.5    -3.5 1
-1952  3 14    -2.5    -3.3    -3.3 1
-1952  3 15     3.1     2.3     2.3 1
-1952  3 16     2.2     1.4     1.4 1
-1952  3 17    -0.8    -1.6    -1.6 1
-1952  3 18    -0.2    -1.0    -1.0 1
-1952  3 19    -3.7    -4.5    -4.5 1
-1952  3 20    -5.6    -6.4    -6.4 1
-1952  3 21    -6.2    -7.0    -7.0 1
-1952  3 22    -6.6    -7.4    -7.4 1
-1952  3 23    -6.9    -7.6    -7.6 1
-1952  3 24    -6.0    -6.7    -6.7 1
-1952  3 25    -7.7    -8.4    -8.4 1
-1952  3 26    -8.6    -9.3    -9.3 1
-1952  3 27    -7.2    -7.9    -7.9 1
-1952  3 28    -6.1    -6.8    -6.8 1
-1952  3 29    -5.1    -5.8    -5.8 1
-1952  3 30    -3.1    -3.8    -3.8 1
-1952  3 31    -2.0    -2.7    -2.7 1
-1952  4  1    -3.0    -3.7    -3.7 1
-1952  4  2    -2.0    -2.7    -2.7 1
-1952  4  3    -0.1    -0.8    -0.8 1
-1952  4  4     1.8     1.1     1.1 1
-1952  4  5     4.8     4.1     4.1 1
-1952  4  6     4.9     4.2     4.2 1
-1952  4  7     4.5     3.8     3.8 1
-1952  4  8     6.1     5.4     5.4 1
-1952  4  9     5.5     4.8     4.8 1
-1952  4 10     6.4     5.7     5.7 1
-1952  4 11     3.9     3.2     3.2 1
-1952  4 12     7.6     7.0     7.0 1
-1952  4 13    11.0    10.4    10.4 1
-1952  4 14    11.3    10.7    10.7 1
-1952  4 15    12.3    11.7    11.7 1
-1952  4 16     8.0     7.4     7.4 1
-1952  4 17     6.1     5.4     5.4 1
-1952  4 18     5.7     5.0     5.0 1
-1952  4 19     6.6     5.9     5.9 1
-1952  4 20     4.6     3.9     3.9 1
-1952  4 21     8.5     7.8     7.8 1
-1952  4 22     8.1     7.4     7.4 1
-1952  4 23    10.5     9.7     9.7 1
-1952  4 24    10.1     9.3     9.3 1
-1952  4 25     9.9     9.1     9.1 1
-1952  4 26     9.0     8.2     8.2 1
-1952  4 27     7.7     6.9     6.9 1
-1952  4 28     9.8     9.0     9.0 1
-1952  4 29     9.6     8.7     8.7 1
-1952  4 30     9.3     8.4     8.4 1
-1952  5  1     7.2     6.3     6.3 1
-1952  5  2     6.3     5.4     5.4 1
-1952  5  3     6.4     5.5     5.5 1
-1952  5  4     8.8     7.9     7.9 1
-1952  5  5    10.0     9.0     9.0 1
-1952  5  6     8.2     7.2     7.2 1
-1952  5  7     6.0     5.0     5.0 1
-1952  5  8     5.6     4.6     4.6 1
-1952  5  9     7.5     6.5     6.5 1
-1952  5 10    11.6    10.6    10.6 1
-1952  5 11    13.4    12.3    12.3 1
-1952  5 12    15.3    14.2    14.2 1
-1952  5 13     9.4     8.3     8.3 1
-1952  5 14     6.7     5.6     5.6 1
-1952  5 15     5.5     4.4     4.4 1
-1952  5 16     7.2     6.1     6.1 1
-1952  5 17     7.7     6.6     6.6 1
-1952  5 18     6.2     5.1     5.1 1
-1952  5 19     3.2     2.1     2.1 1
-1952  5 20     6.8     5.7     5.7 1
-1952  5 21     8.2     7.1     7.1 1
-1952  5 22    11.3    10.2    10.2 1
-1952  5 23    10.9     9.8     9.8 1
-1952  5 24    10.3     9.2     9.2 1
-1952  5 25    12.1    11.0    11.0 1
-1952  5 26    10.5     9.5     9.5 1
-1952  5 27     9.2     8.2     8.2 1
-1952  5 28    10.7     9.7     9.7 1
-1952  5 29    10.0     9.0     9.0 1
-1952  5 30     8.9     7.9     7.9 1
-1952  5 31    11.1    10.1    10.1 1
-1952  6  1    13.3    12.3    12.3 1
-1952  6  2    13.1    12.1    12.1 1
-1952  6  3    14.4    13.4    13.4 1
-1952  6  4    12.0    11.0    11.0 1
-1952  6  5    14.3    13.3    13.3 1
-1952  6  6    15.4    14.4    14.4 1
-1952  6  7    13.3    12.3    12.3 1
-1952  6  8    12.5    11.6    11.6 1
-1952  6  9    11.7    10.8    10.8 1
-1952  6 10    10.3     9.4     9.4 1
-1952  6 11    13.2    12.3    12.3 1
-1952  6 12    15.0    14.1    14.1 1
-1952  6 13    15.6    14.7    14.7 1
-1952  6 14    13.1    12.2    12.2 1
-1952  6 15    14.9    14.0    14.0 1
-1952  6 16    12.3    11.4    11.4 1
-1952  6 17    13.1    12.2    12.2 1
-1952  6 18    15.1    14.2    14.2 1
-1952  6 19    13.8    12.9    12.9 1
-1952  6 20    13.2    12.3    12.3 1
-1952  6 21    12.8    11.9    11.9 1
-1952  6 22    12.8    11.9    11.9 1
-1952  6 23    13.8    12.9    12.9 1
-1952  6 24    12.8    11.9    11.9 1
-1952  6 25    14.4    13.5    13.5 1
-1952  6 26    14.5    13.6    13.6 1
-1952  6 27    17.6    16.7    16.7 1
-1952  6 28    16.9    16.0    16.0 1
-1952  6 29    18.5    17.6    17.6 1
-1952  6 30    16.6    15.7    15.7 1
-1952  7  1    16.8    15.9    15.9 1
-1952  7  2    19.7    18.8    18.8 1
-1952  7  3    19.9    19.0    19.0 1
-1952  7  4    18.0    17.1    17.1 1
-1952  7  5    15.5    14.6    14.6 1
-1952  7  6    17.5    16.6    16.6 1
-1952  7  7    19.6    18.8    18.8 1
-1952  7  8    19.1    18.3    18.3 1
-1952  7  9    21.0    20.2    20.2 1
-1952  7 10    20.9    20.1    20.1 1
-1952  7 11    21.3    20.5    20.5 1
-1952  7 12    18.6    17.8    17.8 1
-1952  7 13    15.7    14.9    14.9 1
-1952  7 14    15.5    14.7    14.7 1
-1952  7 15    15.3    14.5    14.5 1
-1952  7 16    14.5    13.7    13.7 1
-1952  7 17    13.5    12.7    12.7 1
-1952  7 18    14.9    14.1    14.1 1
-1952  7 19    15.0    14.2    14.2 1
-1952  7 20    14.3    13.5    13.5 1
-1952  7 21    13.5    12.7    12.7 1
-1952  7 22    11.9    11.1    11.1 1
-1952  7 23    12.8    12.0    12.0 1
-1952  7 24    14.2    13.4    13.4 1
-1952  7 25    14.9    14.1    14.1 1
-1952  7 26    16.5    15.8    15.8 1
-1952  7 27    15.0    14.3    14.3 1
-1952  7 28    15.8    15.1    15.1 1
-1952  7 29    15.3    14.6    14.6 1
-1952  7 30    16.2    15.5    15.5 1
-1952  7 31    15.7    15.0    15.0 1
-1952  8  1    17.5    16.8    16.8 1
-1952  8  2    18.2    17.5    17.5 1
-1952  8  3    18.6    17.9    17.9 1
-1952  8  4    18.8    18.1    18.1 1
-1952  8  5    17.4    16.7    16.7 1
-1952  8  6    17.9    17.2    17.2 1
-1952  8  7    16.4    15.7    15.7 1
-1952  8  8    14.2    13.5    13.5 1
-1952  8  9    15.2    14.6    14.6 1
-1952  8 10    16.1    15.5    15.5 1
-1952  8 11    17.4    16.8    16.8 1
-1952  8 12    16.3    15.7    15.7 1
-1952  8 13    18.3    17.7    17.7 1
-1952  8 14    17.5    16.9    16.9 1
-1952  8 15    14.0    13.4    13.4 1
-1952  8 16    14.7    14.1    14.1 1
-1952  8 17    13.9    13.3    13.3 1
-1952  8 18    14.6    14.0    14.0 1
-1952  8 19    13.4    12.9    12.9 1
-1952  8 20    13.2    12.7    12.7 1
-1952  8 21    14.6    14.1    14.1 1
-1952  8 22    13.7    13.2    13.2 1
-1952  8 23    15.8    15.3    15.3 1
-1952  8 24    15.2    14.7    14.7 1
-1952  8 25    13.9    13.4    13.4 1
-1952  8 26    13.0    12.5    12.5 1
-1952  8 27    11.8    11.4    11.4 1
-1952  8 28    13.2    12.8    12.8 1
-1952  8 29    11.6    11.2    11.2 1
-1952  8 30    13.0    12.6    12.6 1
-1952  8 31    13.6    13.2    13.2 1
-1952  9  1    15.9    15.5    15.5 1
-1952  9  2    14.1    13.7    13.7 1
-1952  9  3    13.2    12.9    12.9 1
-1952  9  4    11.1    10.8    10.8 1
-1952  9  5    11.3    11.0    11.0 1
-1952  9  6    10.6    10.3    10.3 1
-1952  9  7     9.4     9.1     9.1 1
-1952  9  8    11.1    10.8    10.8 1
-1952  9  9    11.4    11.1    11.1 1
-1952  9 10    10.1     9.8     9.8 1
-1952  9 11    10.9    10.7    10.7 1
-1952  9 12    10.0     9.8     9.8 1
-1952  9 13     8.8     8.6     8.6 1
-1952  9 14     8.0     7.8     7.8 1
-1952  9 15     7.3     7.1     7.1 1
-1952  9 16    10.6    10.4    10.4 1
-1952  9 17    12.3    12.1    12.1 1
-1952  9 18    10.5    10.3    10.3 1
-1952  9 19     8.2     8.0     8.0 1
-1952  9 20     6.5     6.3     6.3 1
-1952  9 21     6.5     6.3     6.3 1
-1952  9 22     5.8     5.6     5.6 1
-1952  9 23     4.8     4.6     4.6 1
-1952  9 24     6.1     5.9     5.9 1
-1952  9 25     9.0     8.8     8.8 1
-1952  9 26     9.9     9.7     9.7 1
-1952  9 27    10.8    10.6    10.6 1
-1952  9 28    10.1     9.9     9.9 1
-1952  9 29     8.9     8.7     8.7 1
-1952  9 30     7.2     7.0     7.0 1
-1952 10  1     8.5     8.3     8.3 1
-1952 10  2     7.9     7.7     7.7 1
-1952 10  3     6.1     5.9     5.9 1
-1952 10  4     4.8     4.6     4.6 1
-1952 10  5     4.6     4.4     4.4 1
-1952 10  6     4.1     3.9     3.9 1
-1952 10  7     6.1     5.9     5.9 1
-1952 10  8     2.9     2.7     2.7 1
-1952 10  9     6.1     5.9     5.9 1
-1952 10 10     4.5     4.3     4.3 1
-1952 10 11     4.2     4.0     4.0 1
-1952 10 12     3.8     3.7     3.7 1
-1952 10 13     5.1     5.0     5.0 1
-1952 10 14     3.8     3.7     3.7 1
-1952 10 15     6.4     6.3     6.3 1
-1952 10 16     7.2     7.0     7.0 1
-1952 10 17     4.3     4.1     4.1 1
-1952 10 18     2.5     2.3     2.3 1
-1952 10 19     3.0     2.8     2.8 1
-1952 10 20     2.8     2.6     2.6 1
-1952 10 21     2.5     2.3     2.3 1
-1952 10 22     4.5     4.3     4.3 1
-1952 10 23     3.3     3.1     3.1 1
-1952 10 24     4.1     3.9     3.9 1
-1952 10 25     5.9     5.7     5.7 1
-1952 10 26     4.3     4.1     4.1 1
-1952 10 27     3.8     3.6     3.6 1
-1952 10 28     6.9     6.7     6.7 1
-1952 10 29     9.1     8.9     8.9 1
-1952 10 30     7.8     7.5     7.5 1
-1952 10 31     6.1     5.8     5.8 1
-1952 11  1     2.6     2.3     2.3 1
-1952 11  2    -0.3    -0.6    -0.6 1
-1952 11  3    -2.0    -2.3    -2.3 1
-1952 11  4    -2.0    -2.3    -2.3 1
-1952 11  5     3.8     3.5     3.5 1
-1952 11  6    -0.3    -0.6    -0.6 1
-1952 11  7    -2.2    -2.5    -2.5 1
-1952 11  8    -0.8    -1.1    -1.1 1
-1952 11  9    -1.4    -1.7    -1.7 1
-1952 11 10    -2.4    -2.7    -2.7 1
-1952 11 11     0.2    -0.1    -0.1 1
-1952 11 12     3.7     3.4     3.4 1
-1952 11 13     2.6     2.3     2.3 1
-1952 11 14     3.5     3.1     3.1 1
-1952 11 15     2.4     2.0     2.0 1
-1952 11 16     1.5     1.1     1.1 1
-1952 11 17     1.8     1.4     1.4 1
-1952 11 18    -1.4    -1.8    -1.8 1
-1952 11 19    -4.5    -4.9    -4.9 1
-1952 11 20    -1.4    -1.8    -1.8 1
-1952 11 21     2.5     2.1     2.1 1
-1952 11 22     2.6     2.2     2.2 1
-1952 11 23     3.1     2.7     2.7 1
-1952 11 24     3.5     3.1     3.1 1
-1952 11 25     1.6     1.2     1.2 1
-1952 11 26     0.5     0.1     0.1 1
-1952 11 27    -1.8    -2.2    -2.2 1
-1952 11 28    -2.7    -3.1    -3.1 1
-1952 11 29    -4.9    -5.3    -5.3 1
-1952 11 30    -6.4    -6.8    -6.8 1
-1952 12  1    -7.7    -8.1    -8.1 1
-1952 12  2    -0.8    -1.2    -1.2 1
-1952 12  3    -1.5    -1.9    -1.9 1
-1952 12  4    -4.2    -4.6    -4.6 1
-1952 12  5    -5.6    -6.0    -6.0 1
-1952 12  6     1.6     1.2     1.2 1
-1952 12  7    -2.6    -3.0    -3.0 1
-1952 12  8     0.3    -0.1    -0.1 1
-1952 12  9    -2.2    -2.6    -2.6 1
-1952 12 10     3.2     2.8     2.8 1
-1952 12 11     1.3     0.9     0.9 1
-1952 12 12     1.8     1.4     1.4 1
-1952 12 13     2.3     1.9     1.9 1
-1952 12 14     0.1    -0.3    -0.3 1
-1952 12 15    -5.1    -5.5    -5.5 1
-1952 12 16    -7.5    -8.0    -8.0 1
-1952 12 17    -0.5    -1.0    -1.0 1
-1952 12 18    -1.8    -2.3    -2.3 1
-1952 12 19    -3.9    -4.4    -4.4 1
-1952 12 20    -2.2    -2.7    -2.7 1
-1952 12 21    -2.4    -2.9    -2.9 1
-1952 12 22    -2.0    -2.5    -2.5 1
-1952 12 23    -2.5    -3.0    -3.0 1
-1952 12 24    -1.5    -2.0    -2.0 1
-1952 12 25     1.7     1.2     1.2 1
-1952 12 26     2.0     1.5     1.5 1
-1952 12 27     1.8     1.3     1.3 1
-1952 12 28     1.1     0.6     0.6 1
-1952 12 29    -0.2    -0.7    -0.7 1
-1952 12 30    -0.2    -0.8    -0.8 1
-1952 12 31    -1.5    -2.1    -2.1 1
-1953  1  1    -2.6    -3.2    -3.2 1
-1953  1  2    -3.4    -4.0    -4.0 1
-1953  1  3    -3.9    -4.5    -4.5 1
-1953  1  4    -4.3    -4.9    -4.9 1
-1953  1  5   -10.8   -11.4   -11.4 1
-1953  1  6    -4.7    -5.3    -5.3 1
-1953  1  7    -1.6    -2.2    -2.2 1
-1953  1  8    -5.5    -6.1    -6.1 1
-1953  1  9    -1.5    -2.1    -2.1 1
-1953  1 10    -8.2    -8.8    -8.8 1
-1953  1 11    -7.3    -7.9    -7.9 1
-1953  1 12    -4.2    -4.9    -4.9 1
-1953  1 13     2.0     1.3     1.3 1
-1953  1 14     2.9     2.2     2.2 1
-1953  1 15     1.6     0.9     0.9 1
-1953  1 16     1.1     0.4     0.4 1
-1953  1 17     1.6     0.9     0.9 1
-1953  1 18     3.3     2.6     2.6 1
-1953  1 19    -1.9    -2.6    -2.6 1
-1953  1 20     0.2    -0.5    -0.5 1
-1953  1 21     0.3    -0.4    -0.4 1
-1953  1 22    -3.8    -4.5    -4.5 1
-1953  1 23    -5.2    -5.9    -5.9 1
-1953  1 24    -5.5    -6.2    -6.2 1
-1953  1 25    -8.6    -9.3    -9.3 1
-1953  1 26    -5.8    -6.5    -6.5 1
-1953  1 27     0.5    -0.2    -0.2 1
-1953  1 28    -0.1    -0.8    -0.8 1
-1953  1 29    -2.3    -3.0    -3.0 1
-1953  1 30    -2.9    -3.6    -3.6 1
-1953  1 31     0.7     0.0     0.0 1
-1953  2  1     1.3     0.6     0.6 1
-1953  2  2    -2.1    -2.8    -2.8 1
-1953  2  3    -4.3    -5.0    -5.0 1
-1953  2  4    -2.4    -3.1    -3.1 1
-1953  2  5    -7.2    -7.9    -7.9 1
-1953  2  6   -12.9   -13.6   -13.6 1
-1953  2  7   -14.5   -15.2   -15.2 1
-1953  2  8   -11.6   -12.3   -12.3 1
-1953  2  9    -9.8   -10.5   -10.5 1
-1953  2 10   -10.0   -10.7   -10.7 1
-1953  2 11    -6.5    -7.2    -7.2 1
-1953  2 12    -7.6    -8.3    -8.3 1
-1953  2 13    -7.9    -8.6    -8.6 1
-1953  2 14    -6.1    -6.8    -6.8 1
-1953  2 15    -7.1    -7.8    -7.8 1
-1953  2 16    -3.4    -4.1    -4.1 1
-1953  2 17     1.1     0.4     0.4 1
-1953  2 18     1.3     0.6     0.6 1
-1953  2 19    -0.1    -0.8    -0.8 1
-1953  2 20    -3.9    -4.6    -4.6 1
-1953  2 21     2.0     1.3     1.3 1
-1953  2 22     1.7     1.0     1.0 1
-1953  2 23    -1.0    -1.7    -1.7 1
-1953  2 24    -1.5    -2.2    -2.2 1
-1953  2 25     1.0     0.3     0.3 1
-1953  2 26     4.8     4.1     4.1 1
-1953  2 27     3.8     3.1     3.1 1
-1953  2 28     2.8     2.1     2.1 1
-1953  3  1     2.8     2.1     2.1 1
-1953  3  2     3.6     2.8     2.8 1
-1953  3  3     2.0     1.2     1.2 1
-1953  3  4     0.0    -0.8    -0.8 1
-1953  3  5     1.7     0.9     0.9 1
-1953  3  6     2.5     1.7     1.7 1
-1953  3  7     2.1     1.3     1.3 1
-1953  3  8     0.0    -0.8    -0.8 1
-1953  3  9     3.7     2.9     2.9 1
-1953  3 10     0.2    -0.6    -0.6 1
-1953  3 11     1.3     0.5     0.5 1
-1953  3 12    -0.8    -1.6    -1.6 1
-1953  3 13     2.8     2.0     2.0 1
-1953  3 14     4.9     4.1     4.1 1
-1953  3 15     1.9     1.1     1.1 1
-1953  3 16     1.2     0.4     0.4 1
-1953  3 17     1.1     0.3     0.3 1
-1953  3 18     2.9     2.1     2.1 1
-1953  3 19     2.3     1.5     1.5 1
-1953  3 20     2.3     1.5     1.5 1
-1953  3 21     4.9     4.1     4.1 1
-1953  3 22     7.2     6.4     6.4 1
-1953  3 23     4.0     3.2     3.2 1
-1953  3 24     7.8     7.0     7.0 1
-1953  3 25     9.1     8.3     8.3 1
-1953  3 26    10.2     9.5     9.5 1
-1953  3 27     5.4     4.7     4.7 1
-1953  3 28     2.9     2.2     2.2 1
-1953  3 29     6.6     5.9     5.9 1
-1953  3 30     6.3     5.6     5.6 1
-1953  3 31     0.4    -0.3    -0.3 1
-1953  4  1     0.2    -0.5    -0.5 1
-1953  4  2     2.5     1.8     1.8 1
-1953  4  3     7.3     6.6     6.6 1
-1953  4  4     8.9     8.2     8.2 1
-1953  4  5     6.8     6.1     6.1 1
-1953  4  6     4.3     3.6     3.6 1
-1953  4  7     4.0     3.3     3.3 1
-1953  4  8     5.8     5.1     5.1 1
-1953  4  9     3.6     2.9     2.9 1
-1953  4 10     3.1     2.4     2.4 1
-1953  4 11     5.6     4.9     4.9 1
-1953  4 12     6.8     6.1     6.1 1
-1953  4 13     8.5     7.8     7.8 1
-1953  4 14     7.7     7.0     7.0 1
-1953  4 15     5.7     5.1     5.1 1
-1953  4 16     4.5     3.8     3.8 1
-1953  4 17     7.5     6.8     6.8 1
-1953  4 18     6.5     5.8     5.8 1
-1953  4 19     2.3     1.6     1.6 1
-1953  4 20     5.5     4.8     4.8 1
-1953  4 21     8.7     8.0     8.0 1
-1953  4 22    10.3     9.5     9.5 1
-1953  4 23    10.9    10.1    10.1 1
-1953  4 24     9.7     8.9     8.9 1
-1953  4 25     9.4     8.6     8.6 1
-1953  4 26     7.1     6.3     6.3 1
-1953  4 27     7.6     6.8     6.8 1
-1953  4 28     7.7     6.8     6.8 1
-1953  4 29    10.6     9.7     9.7 1
-1953  4 30    10.4     9.5     9.5 1
-1953  5  1    12.9    12.0    12.0 1
-1953  5  2    13.5    12.6    12.6 1
-1953  5  3    11.5    10.6    10.6 1
-1953  5  4    10.0     9.0     9.0 1
-1953  5  5     6.7     5.7     5.7 1
-1953  5  6     5.3     4.3     4.3 1
-1953  5  7     2.6     1.6     1.6 1
-1953  5  8     3.1     2.1     2.1 1
-1953  5  9     4.2     3.2     3.2 1
-1953  5 10     6.7     5.6     5.6 1
-1953  5 11     8.4     7.3     7.3 1
-1953  5 12     8.8     7.7     7.7 1
-1953  5 13     6.9     5.8     5.8 1
-1953  5 14    10.6     9.5     9.5 1
-1953  5 15    12.5    11.4    11.4 1
-1953  5 16    10.6     9.5     9.5 1
-1953  5 17    15.3    14.2    14.2 1
-1953  5 18    15.6    14.5    14.5 1
-1953  5 19    16.1    15.0    15.0 1
-1953  5 20    15.8    14.7    14.7 1
-1953  5 21    17.9    16.8    16.8 1
-1953  5 22    15.2    14.1    14.1 1
-1953  5 23    15.7    14.6    14.6 1
-1953  5 24    10.9     9.8     9.8 1
-1953  5 25     8.8     7.7     7.7 1
-1953  5 26    11.2    10.1    10.1 1
-1953  5 27    10.4     9.3     9.3 1
-1953  5 28     7.1     6.1     6.1 1
-1953  5 29     7.2     6.2     6.2 1
-1953  5 30     8.8     7.8     7.8 1
-1953  5 31    10.3     9.3     9.3 1
-1953  6  1     9.9     8.9     8.9 1
-1953  6  2    10.8     9.8     9.8 1
-1953  6  3    11.1    10.1    10.1 1
-1953  6  4    10.7     9.7     9.7 1
-1953  6  5    13.1    12.1    12.1 1
-1953  6  6    12.5    11.5    11.5 1
-1953  6  7    14.5    13.5    13.5 1
-1953  6  8    16.3    15.3    15.3 1
-1953  6  9    17.4    16.4    16.4 1
-1953  6 10    17.5    16.6    16.6 1
-1953  6 11    16.2    15.3    15.3 1
-1953  6 12    14.8    13.9    13.9 1
-1953  6 13    18.7    17.8    17.8 1
-1953  6 14    18.9    18.0    18.0 1
-1953  6 15    18.0    17.1    17.1 1
-1953  6 16    17.1    16.2    16.2 1
-1953  6 17    19.7    18.8    18.8 1
-1953  6 18    18.1    17.2    17.2 1
-1953  6 19    18.9    18.0    18.0 1
-1953  6 20    16.0    15.1    15.1 1
-1953  6 21    19.0    18.1    18.1 1
-1953  6 22    21.9    21.0    21.0 1
-1953  6 23    21.7    20.8    20.8 1
-1953  6 24    18.9    18.0    18.0 1
-1953  6 25    21.6    20.7    20.7 1
-1953  6 26    22.9    22.0    22.0 1
-1953  6 27    18.9    18.0    18.0 1
-1953  6 28    21.5    20.6    20.6 1
-1953  6 29    22.9    22.0    22.0 1
-1953  6 30    22.3    21.4    21.4 1
-1953  7  1    19.9    19.0    19.0 1
-1953  7  2    22.5    21.6    21.6 1
-1953  7  3    22.2    21.3    21.3 1
-1953  7  4    20.0    19.1    19.1 1
-1953  7  5    15.3    14.4    14.4 1
-1953  7  6    14.4    13.5    13.5 1
-1953  7  7    12.8    11.9    11.9 1
-1953  7  8    15.6    14.7    14.7 1
-1953  7  9    16.8    15.9    15.9 1
-1953  7 10    17.3    16.4    16.4 1
-1953  7 11    16.0    15.1    15.1 1
-1953  7 12    16.6    15.7    15.7 1
-1953  7 13    18.0    17.2    17.2 1
-1953  7 14    17.9    17.1    17.1 1
-1953  7 15    16.8    16.0    16.0 1
-1953  7 16    17.4    16.6    16.6 1
-1953  7 17    18.2    17.4    17.4 1
-1953  7 18    16.6    15.8    15.8 1
-1953  7 19    17.4    16.6    16.6 1
-1953  7 20    17.2    16.4    16.4 1
-1953  7 21    18.8    18.0    18.0 1
-1953  7 22    18.5    17.7    17.7 1
-1953  7 23    19.3    18.5    18.5 1
-1953  7 24    17.1    16.3    16.3 1
-1953  7 25    18.5    17.7    17.7 1
-1953  7 26    20.1    19.3    19.3 1
-1953  7 27    18.7    17.9    17.9 1
-1953  7 28    14.6    13.9    13.9 1
-1953  7 29    15.5    14.8    14.8 1
-1953  7 30    16.5    15.8    15.8 1
-1953  7 31    14.2    13.5    13.5 1
-1953  8  1    14.0    13.3    13.3 1
-1953  8  2    13.8    13.1    13.1 1
-1953  8  3    15.2    14.5    14.5 1
-1953  8  4    16.1    15.4    15.4 1
-1953  8  5    13.9    13.2    13.2 1
-1953  8  6    15.0    14.3    14.3 1
-1953  8  7    15.4    14.7    14.7 1
-1953  8  8    15.0    14.3    14.3 1
-1953  8  9    16.8    16.1    16.1 1
-1953  8 10    17.7    17.0    17.0 1
-1953  8 11    18.6    18.0    18.0 1
-1953  8 12    18.5    17.9    17.9 1
-1953  8 13    19.8    19.2    19.2 1
-1953  8 14    21.5    20.9    20.9 1
-1953  8 15    20.5    19.9    19.9 1
-1953  8 16    17.4    16.8    16.8 1
-1953  8 17    17.8    17.2    17.2 1
-1953  8 18    18.1    17.5    17.5 1
-1953  8 19    15.2    14.6    14.6 1
-1953  8 20    16.1    15.6    15.6 1
-1953  8 21    14.5    14.0    14.0 1
-1953  8 22    16.4    15.9    15.9 1
-1953  8 23    16.3    15.8    15.8 1
-1953  8 24    15.1    14.6    14.6 1
-1953  8 25    16.1    15.6    15.6 1
-1953  8 26    15.1    14.6    14.6 1
-1953  8 27    15.6    15.2    15.2 1
-1953  8 28    15.9    15.5    15.5 1
-1953  8 29    14.1    13.7    13.7 1
-1953  8 30    13.3    12.9    12.9 1
-1953  8 31    12.2    11.8    11.8 1
-1953  9  1    13.9    13.5    13.5 1
-1953  9  2    13.6    13.2    13.2 1
-1953  9  3    15.7    15.3    15.3 1
-1953  9  4    13.5    13.2    13.2 1
-1953  9  5    10.4    10.1    10.1 1
-1953  9  6    10.2     9.9     9.9 1
-1953  9  7    12.2    11.9    11.9 1
-1953  9  8    13.6    13.3    13.3 1
-1953  9  9     9.7     9.4     9.4 1
-1953  9 10     9.2     8.9     8.9 1
-1953  9 11    10.1     9.9     9.9 1
-1953  9 12    10.9    10.7    10.7 1
-1953  9 13    10.1     9.9     9.9 1
-1953  9 14     9.0     8.8     8.8 1
-1953  9 15    11.8    11.6    11.6 1
-1953  9 16    12.7    12.5    12.5 1
-1953  9 17    13.2    13.0    13.0 1
-1953  9 18    12.9    12.7    12.7 1
-1953  9 19    12.9    12.7    12.7 1
-1953  9 20    12.5    12.3    12.3 1
-1953  9 21    11.6    11.4    11.4 1
-1953  9 22    12.2    12.0    12.0 1
-1953  9 23    13.3    13.1    13.1 1
-1953  9 24    12.4    12.2    12.2 1
-1953  9 25    11.8    11.6    11.6 1
-1953  9 26    11.6    11.4    11.4 1
-1953  9 27    10.9    10.7    10.7 1
-1953  9 28    11.8    11.6    11.6 1
-1953  9 29    13.3    13.1    13.1 1
-1953  9 30    12.5    12.3    12.3 1
-1953 10  1    14.4    14.2    14.2 1
-1953 10  2    14.2    14.0    14.0 1
-1953 10  3    12.5    12.3    12.3 1
-1953 10  4    10.8    10.6    10.6 1
-1953 10  5     8.0     7.8     7.8 1
-1953 10  6     5.5     5.3     5.3 1
-1953 10  7     4.2     4.0     4.0 1
-1953 10  8     6.1     5.9     5.9 1
-1953 10  9     8.4     8.2     8.2 1
-1953 10 10    12.4    12.2    12.2 1
-1953 10 11    13.1    12.9    12.9 1
-1953 10 12     9.9     9.7     9.7 1
-1953 10 13    10.8    10.6    10.6 1
-1953 10 14    11.2    11.0    11.0 1
-1953 10 15     8.0     7.8     7.8 1
-1953 10 16     7.5     7.3     7.3 1
-1953 10 17     8.5     8.3     8.3 1
-1953 10 18     9.8     9.6     9.6 1
-1953 10 19     9.5     9.3     9.3 1
-1953 10 20     8.3     8.1     8.1 1
-1953 10 21     9.7     9.5     9.5 1
-1953 10 22    10.0     9.8     9.8 1
-1953 10 23     8.6     8.4     8.4 1
-1953 10 24     9.1     8.9     8.9 1
-1953 10 25     9.3     9.1     9.1 1
-1953 10 26    10.5    10.3    10.3 1
-1953 10 27    11.3    11.1    11.1 1
-1953 10 28    10.8    10.6    10.6 1
-1953 10 29     9.1     8.8     8.8 1
-1953 10 30     7.9     7.6     7.6 1
-1953 10 31     5.7     5.4     5.4 1
-1953 11  1     5.7     5.4     5.4 1
-1953 11  2     5.8     5.5     5.5 1
-1953 11  3     6.2     5.9     5.9 1
-1953 11  4     6.0     5.7     5.7 1
-1953 11  5     6.8     6.5     6.5 1
-1953 11  6     4.7     4.4     4.4 1
-1953 11  7     7.1     6.8     6.8 1
-1953 11  8     8.4     8.1     8.1 1
-1953 11  9     7.4     7.1     7.1 1
-1953 11 10     5.7     5.4     5.4 1
-1953 11 11     7.7     7.4     7.4 1
-1953 11 12     7.2     6.9     6.9 1
-1953 11 13     3.1     2.7     2.7 1
-1953 11 14     1.7     1.3     1.3 1
-1953 11 15     0.9     0.5     0.5 1
-1953 11 16    -0.8    -1.2    -1.2 1
-1953 11 17     4.1     3.7     3.7 1
-1953 11 18     4.5     4.1     4.1 1
-1953 11 19     5.0     4.6     4.6 1
-1953 11 20     1.2     0.8     0.8 1
-1953 11 21     0.3    -0.1    -0.1 1
-1953 11 22    -1.2    -1.6    -1.6 1
-1953 11 23    -1.5    -1.9    -1.9 1
-1953 11 24    -1.3    -1.7    -1.7 1
-1953 11 25     0.4     0.0     0.0 1
-1953 11 26    -1.0    -1.4    -1.4 1
-1953 11 27     0.8     0.4     0.4 1
-1953 11 28     5.7     5.3     5.3 1
-1953 11 29     5.9     5.5     5.5 1
-1953 11 30     6.6     6.2     6.2 1
-1953 12  1     5.2     4.8     4.8 1
-1953 12  2     9.0     8.6     8.6 1
-1953 12  3    10.9    10.5    10.5 1
-1953 12  4    10.1     9.7     9.7 1
-1953 12  5     3.0     2.6     2.6 1
-1953 12  6     0.0    -0.4    -0.4 1
-1953 12  7     2.5     2.1     2.1 1
-1953 12  8     0.6     0.2     0.2 1
-1953 12  9     2.7     2.3     2.3 1
-1953 12 10     2.9     2.5     2.5 1
-1953 12 11     2.5     2.1     2.1 1
-1953 12 12     3.9     3.4     3.4 1
-1953 12 13     3.4     2.9     2.9 1
-1953 12 14     3.9     3.4     3.4 1
-1953 12 15     3.7     3.2     3.2 1
-1953 12 16     2.5     2.0     2.0 1
-1953 12 17     1.3     0.8     0.8 1
-1953 12 18     1.5     1.0     1.0 1
-1953 12 19     0.6     0.1     0.1 1
-1953 12 20     0.3    -0.2    -0.2 1
-1953 12 21    -0.2    -0.7    -0.7 1
-1953 12 22    -1.3    -1.8    -1.8 1
-1953 12 23     0.2    -0.3    -0.3 1
-1953 12 24     2.1     1.6     1.6 1
-1953 12 25     3.7     3.2     3.2 1
-1953 12 26     1.7     1.2     1.2 1
-1953 12 27     1.6     1.1     1.1 1
-1953 12 28    -1.0    -1.6    -1.6 1
-1953 12 29    -0.9    -1.5    -1.5 1
-1953 12 30    -2.4    -3.0    -3.0 1
-1953 12 31    -1.0    -1.6    -1.6 1
-1954  1  1    -3.6    -4.2    -4.2 1
-1954  1  2     2.6     2.0     2.0 1
-1954  1  3     0.4    -0.2    -0.2 1
-1954  1  4    -6.4    -7.0    -7.0 1
-1954  1  5    -5.7    -6.3    -6.3 1
-1954  1  6    -0.5    -1.1    -1.1 1
-1954  1  7    -2.6    -3.2    -3.2 1
-1954  1  8    -6.7    -7.3    -7.3 1
-1954  1  9    -2.3    -2.9    -2.9 1
-1954  1 10    -4.8    -5.5    -5.5 1
-1954  1 11    -7.9    -8.6    -8.6 1
-1954  1 12    -5.6    -6.3    -6.3 1
-1954  1 13    -0.4    -1.1    -1.1 1
-1954  1 14     2.4     1.7     1.7 1
-1954  1 15     2.6     1.9     1.9 1
-1954  1 16     1.3     0.6     0.6 1
-1954  1 17    -1.6    -2.3    -2.3 1
-1954  1 18    -4.1    -4.8    -4.8 1
-1954  1 19    -2.9    -3.6    -3.6 1
-1954  1 20     0.8     0.1     0.1 1
-1954  1 21    -2.3    -3.0    -3.0 1
-1954  1 22    -3.8    -4.5    -4.5 1
-1954  1 23    -7.7    -8.4    -8.4 1
-1954  1 24    -9.2    -9.9    -9.9 1
-1954  1 25    -7.4    -8.1    -8.1 1
-1954  1 26    -7.9    -8.6    -8.6 1
-1954  1 27   -10.0   -10.7   -10.7 1
-1954  1 28    -6.2    -6.9    -6.9 1
-1954  1 29    -9.9   -10.6   -10.6 1
-1954  1 30   -12.4   -13.1   -13.1 1
-1954  1 31    -7.6    -8.3    -8.3 1
-1954  2  1    -1.4    -2.1    -2.1 1
-1954  2  2    -2.4    -3.1    -3.1 1
-1954  2  3    -5.6    -6.3    -6.3 1
-1954  2  4    -4.2    -4.9    -4.9 1
-1954  2  5    -1.5    -2.2    -2.2 1
-1954  2  6    -1.2    -1.9    -1.9 1
-1954  2  7    -2.0    -2.7    -2.7 1
-1954  2  8    -2.1    -2.8    -2.8 1
-1954  2  9    -2.4    -3.1    -3.1 1
-1954  2 10    -2.9    -3.6    -3.6 1
-1954  2 11    -6.0    -6.7    -6.7 1
-1954  2 12    -7.7    -8.4    -8.4 1
-1954  2 13    -9.5   -10.2   -10.2 1
-1954  2 14   -12.9   -13.6   -13.6 1
-1954  2 15   -10.0   -10.7   -10.7 1
-1954  2 16    -8.2    -8.9    -8.9 1
-1954  2 17    -6.8    -7.5    -7.5 1
-1954  2 18    -7.4    -8.1    -8.1 1
-1954  2 19    -6.9    -7.6    -7.6 1
-1954  2 20    -8.1    -8.8    -8.8 1
-1954  2 21    -7.1    -7.8    -7.8 1
-1954  2 22    -7.1    -7.8    -7.8 1
-1954  2 23    -3.7    -4.4    -4.4 1
-1954  2 24    -3.7    -4.4    -4.4 1
-1954  2 25    -4.5    -5.2    -5.2 1
-1954  2 26    -4.2    -4.9    -4.9 1
-1954  2 27    -4.6    -5.4    -5.4 1
-1954  2 28    -3.6    -4.4    -4.4 1
-1954  3  1     0.5    -0.3    -0.3 1
-1954  3  2     0.2    -0.6    -0.6 1
-1954  3  3    -0.3    -1.1    -1.1 1
-1954  3  4    -0.3    -1.1    -1.1 1
-1954  3  5     1.1     0.3     0.3 1
-1954  3  6     1.3     0.5     0.5 1
-1954  3  7     1.1     0.3     0.3 1
-1954  3  8     1.3     0.5     0.5 1
-1954  3  9     1.6     0.8     0.8 1
-1954  3 10     0.3    -0.5    -0.5 1
-1954  3 11    -0.1    -0.9    -0.9 1
-1954  3 12    -0.6    -1.4    -1.4 1
-1954  3 13    -0.7    -1.5    -1.5 1
-1954  3 14    -2.1    -2.9    -2.9 1
-1954  3 15     1.4     0.6     0.6 1
-1954  3 16     2.4     1.6     1.6 1
-1954  3 17    -0.2    -1.0    -1.0 1
-1954  3 18     1.3     0.5     0.5 1
-1954  3 19    -2.3    -3.1    -3.1 1
-1954  3 20    -1.0    -1.8    -1.8 1
-1954  3 21     0.8     0.0     0.0 1
-1954  3 22     4.9     4.1     4.1 1
-1954  3 23     8.1     7.3     7.3 1
-1954  3 24     4.0     3.2     3.2 1
-1954  3 25    -0.5    -1.3    -1.3 1
-1954  3 26    -0.9    -1.7    -1.7 1
-1954  3 27     0.0    -0.8    -0.8 1
-1954  3 28     1.1     0.4     0.4 1
-1954  3 29     0.0    -0.7    -0.7 1
-1954  3 30     0.7     0.0     0.0 1
-1954  3 31     1.8     1.1     1.1 1
-1954  4  1     0.9     0.2     0.2 1
-1954  4  2     1.1     0.4     0.4 1
-1954  4  3     0.4    -0.3    -0.3 1
-1954  4  4     2.5     1.8     1.8 1
-1954  4  5     5.7     5.0     5.0 1
-1954  4  6     5.3     4.6     4.6 1
-1954  4  7     2.0     1.3     1.3 1
-1954  4  8     0.4    -0.3    -0.3 1
-1954  4  9     2.4     1.7     1.7 1
-1954  4 10     5.2     4.5     4.5 1
-1954  4 11     5.1     4.4     4.4 1
-1954  4 12     1.3     0.6     0.6 1
-1954  4 13     3.9     3.2     3.2 1
-1954  4 14     2.3     1.6     1.6 1
-1954  4 15     1.6     0.9     0.9 1
-1954  4 16     1.3     0.6     0.6 1
-1954  4 17     2.8     2.1     2.1 1
-1954  4 18     4.3     3.6     3.6 1
-1954  4 19     4.1     3.4     3.4 1
-1954  4 20     4.3     3.6     3.6 1
-1954  4 21     3.7     2.9     2.9 1
-1954  4 22     3.9     3.1     3.1 1
-1954  4 23     5.0     4.2     4.2 1
-1954  4 24     2.6     1.8     1.8 1
-1954  4 25     2.2     1.4     1.4 1
-1954  4 26     3.2     2.4     2.4 1
-1954  4 27     4.0     3.1     3.1 1
-1954  4 28     4.2     3.3     3.3 1
-1954  4 29     5.9     5.0     5.0 1
-1954  4 30     4.2     3.3     3.3 1
-1954  5  1     5.1     4.2     4.2 1
-1954  5  2     6.1     5.2     5.2 1
-1954  5  3     6.0     5.0     5.0 1
-1954  5  4     8.7     7.7     7.7 1
-1954  5  5     8.0     7.0     7.0 1
-1954  5  6    10.7     9.7     9.7 1
-1954  5  7    12.0    11.0    11.0 1
-1954  5  8    12.1    11.1    11.1 1
-1954  5  9    11.3    10.2    10.2 1
-1954  5 10    12.1    11.0    11.0 1
-1954  5 11    12.7    11.6    11.6 1
-1954  5 12     6.7     5.6     5.6 1
-1954  5 13     6.1     5.0     5.0 1
-1954  5 14     6.7     5.6     5.6 1
-1954  5 15     5.6     4.4     4.4 1
-1954  5 16     8.5     7.3     7.3 1
-1954  5 17    10.2     9.0     9.0 1
-1954  5 18     9.5     8.4     8.4 1
-1954  5 19    11.3    10.2    10.2 1
-1954  5 20    11.5    10.4    10.4 1
-1954  5 21    13.5    12.4    12.4 1
-1954  5 22    10.8     9.7     9.7 1
-1954  5 23    11.3    10.2    10.2 1
-1954  5 24    12.9    11.8    11.8 1
-1954  5 25    15.5    14.4    14.4 1
-1954  5 26    18.7    17.6    17.6 1
-1954  5 27    19.7    18.6    18.6 1
-1954  5 28    18.2    17.1    17.1 1
-1954  5 29    19.3    18.2    18.2 1
-1954  5 30    20.0    19.0    19.0 1
-1954  5 31    15.1    14.1    14.1 1
-1954  6  1    11.8    10.8    10.8 1
-1954  6  2    13.1    12.1    12.1 1
-1954  6  3    11.1    10.1    10.1 1
-1954  6  4    15.0    14.0    14.0 1
-1954  6  5    15.7    14.7    14.7 1
-1954  6  6    11.1    10.1    10.1 1
-1954  6  7    10.7     9.7     9.7 1
-1954  6  8     9.4     8.4     8.4 1
-1954  6  9    12.6    11.6    11.6 1
-1954  6 10    14.0    13.0    13.0 1
-1954  6 11    16.4    15.4    15.4 1
-1954  6 12    16.4    15.5    15.5 1
-1954  6 13    15.0    14.1    14.1 1
-1954  6 14    12.3    11.4    11.4 1
-1954  6 15    13.3    12.4    12.4 1
-1954  6 16    15.0    14.1    14.1 1
-1954  6 17    16.5    15.6    15.6 1
-1954  6 18    16.5    15.6    15.6 1
-1954  6 19    18.7    17.8    17.8 1
-1954  6 20    20.4    19.5    19.5 1
-1954  6 21    22.4    21.5    21.5 1
-1954  6 22    17.9    17.0    17.0 1
-1954  6 23    16.1    15.2    15.2 1
-1954  6 24    14.5    13.6    13.6 1
-1954  6 25    14.6    13.7    13.7 1
-1954  6 26    15.8    14.9    14.9 1
-1954  6 27    14.4    13.5    13.5 1
-1954  6 28    14.1    13.2    13.2 1
-1954  6 29    16.5    15.6    15.6 1
-1954  6 30    17.9    17.0    17.0 1
-1954  7  1    14.9    14.0    14.0 1
-1954  7  2    15.8    14.9    14.9 1
-1954  7  3    16.2    15.3    15.3 1
-1954  7  4    17.5    16.6    16.6 1
-1954  7  5    18.4    17.5    17.5 1
-1954  7  6    15.4    14.5    14.5 1
-1954  7  7    17.3    16.4    16.4 1
-1954  7  8    18.4    17.5    17.5 1
-1954  7  9    18.9    18.0    18.0 1
-1954  7 10    19.6    18.7    18.7 1
-1954  7 11    21.1    20.2    20.2 1
-1954  7 12    18.8    17.9    17.9 1
-1954  7 13    18.2    17.3    17.3 1
-1954  7 14    18.7    17.8    17.8 1
-1954  7 15    15.8    14.9    14.9 1
-1954  7 16    15.5    14.6    14.6 1
-1954  7 17    15.2    14.4    14.4 1
-1954  7 18    14.5    13.7    13.7 1
-1954  7 19    14.2    13.4    13.4 1
-1954  7 20    15.6    14.8    14.8 1
-1954  7 21    15.8    15.0    15.0 1
-1954  7 22    16.0    15.2    15.2 1
-1954  7 23    14.8    14.0    14.0 1
-1954  7 24    15.1    14.3    14.3 1
-1954  7 25    17.1    16.3    16.3 1
-1954  7 26    15.6    14.8    14.8 1
-1954  7 27    17.2    16.4    16.4 1
-1954  7 28    15.3    14.5    14.5 1
-1954  7 29    14.8    14.0    14.0 1
-1954  7 30    15.4    14.7    14.7 1
-1954  7 31    16.4    15.7    15.7 1
-1954  8  1    16.5    15.8    15.8 1
-1954  8  2    16.2    15.5    15.5 1
-1954  8  3    17.0    16.3    16.3 1
-1954  8  4    17.1    16.4    16.4 1
-1954  8  5    16.4    15.7    15.7 1
-1954  8  6    17.9    17.2    17.2 1
-1954  8  7    16.6    15.9    15.9 1
-1954  8  8    16.6    15.9    15.9 1
-1954  8  9    15.5    14.8    14.8 1
-1954  8 10    15.8    15.1    15.1 1
-1954  8 11    14.8    14.1    14.1 1
-1954  8 12    15.3    14.7    14.7 1
-1954  8 13    16.5    15.9    15.9 1
-1954  8 14    16.7    16.1    16.1 1
-1954  8 15    15.2    14.6    14.6 1
-1954  8 16    14.8    14.2    14.2 1
-1954  8 17    15.3    14.7    14.7 1
-1954  8 18    14.9    14.3    14.3 1
-1954  8 19    15.4    14.8    14.8 1
-1954  8 20    14.7    14.1    14.1 1
-1954  8 21    14.8    14.3    14.3 1
-1954  8 22    15.1    14.6    14.6 1
-1954  8 23    15.9    15.4    15.4 1
-1954  8 24    15.6    15.1    15.1 1
-1954  8 25    15.8    15.3    15.3 1
-1954  8 26    15.8    15.3    15.3 1
-1954  8 27    16.4    15.9    15.9 1
-1954  8 28    15.5    15.1    15.1 1
-1954  8 29    15.0    14.6    14.6 1
-1954  8 30    13.0    12.6    12.6 1
-1954  8 31    13.7    13.3    13.3 1
-1954  9  1    12.1    11.7    11.7 1
-1954  9  2    16.8    16.4    16.4 1
-1954  9  3    18.2    17.8    17.8 1
-1954  9  4    17.0    16.6    16.6 1
-1954  9  5    14.2    13.9    13.9 1
-1954  9  6    12.4    12.1    12.1 1
-1954  9  7    13.0    12.7    12.7 1
-1954  9  8    14.6    14.3    14.3 1
-1954  9  9    15.0    14.7    14.7 1
-1954  9 10    16.4    16.1    16.1 1
-1954  9 11    14.5    14.2    14.2 1
-1954  9 12    14.0    13.8    13.8 1
-1954  9 13    13.3    13.1    13.1 1
-1954  9 14    13.0    12.8    12.8 1
-1954  9 15    13.0    12.8    12.8 1
-1954  9 16    12.3    12.1    12.1 1
-1954  9 17    11.3    11.1    11.1 1
-1954  9 18    10.3    10.1    10.1 1
-1954  9 19    11.0    10.8    10.8 1
-1954  9 20     9.7     9.5     9.5 1
-1954  9 21     9.7     9.5     9.5 1
-1954  9 22     9.0     8.8     8.8 1
-1954  9 23     8.8     8.6     8.6 1
-1954  9 24     7.3     7.1     7.1 1
-1954  9 25    10.2    10.0    10.0 1
-1954  9 26    11.4    11.2    11.2 1
-1954  9 27     7.8     7.6     7.6 1
-1954  9 28     3.7     3.5     3.5 1
-1954  9 29     7.7     7.5     7.5 1
-1954  9 30     6.4     6.2     6.2 1
-1954 10  1     7.1     6.9     6.9 1
-1954 10  2     6.1     5.9     5.9 1
-1954 10  3     7.0     6.8     6.8 1
-1954 10  4     8.5     8.3     8.3 1
-1954 10  5     6.5     6.3     6.3 1
-1954 10  6     6.6     6.4     6.4 1
-1954 10  7     6.1     5.9     5.9 1
-1954 10  8     5.1     4.9     4.9 1
-1954 10  9     4.7     4.5     4.5 1
-1954 10 10     8.3     8.1     8.1 1
-1954 10 11     8.3     8.1     8.1 1
-1954 10 12     9.9     9.7     9.7 1
-1954 10 13     9.5     9.3     9.3 1
-1954 10 14    11.5    11.3    11.3 1
-1954 10 15     6.5     6.3     6.3 1
-1954 10 16     3.9     3.7     3.7 1
-1954 10 17     3.6     3.4     3.4 1
-1954 10 18     2.5     2.3     2.3 1
-1954 10 19     2.7     2.5     2.5 1
-1954 10 20     4.3     4.1     4.1 1
-1954 10 21     7.9     7.7     7.7 1
-1954 10 22     8.6     8.4     8.4 1
-1954 10 23     6.8     6.6     6.6 1
-1954 10 24     7.8     7.6     7.6 1
-1954 10 25     9.5     9.3     9.3 1
-1954 10 26     6.3     6.1     6.1 1
-1954 10 27     4.5     4.3     4.3 1
-1954 10 28     5.4     5.1     5.1 1
-1954 10 29     7.8     7.5     7.5 1
-1954 10 30     9.5     9.2     9.2 1
-1954 10 31     8.2     7.9     7.9 1
-1954 11  1     6.4     6.1     6.1 1
-1954 11  2     5.0     4.7     4.7 1
-1954 11  3     3.2     2.9     2.9 1
-1954 11  4     2.0     1.7     1.7 1
-1954 11  5     6.9     6.6     6.6 1
-1954 11  6     6.1     5.8     5.8 1
-1954 11  7     2.1     1.8     1.8 1
-1954 11  8     0.0    -0.3    -0.3 1
-1954 11  9     1.5     1.2     1.2 1
-1954 11 10     1.9     1.6     1.6 1
-1954 11 11     4.3     4.0     4.0 1
-1954 11 12     6.8     6.4     6.4 1
-1954 11 13     1.7     1.3     1.3 1
-1954 11 14     3.4     3.0     3.0 1
-1954 11 15     1.1     0.7     0.7 1
-1954 11 16    -2.6    -3.0    -3.0 1
-1954 11 17    -0.4    -0.8    -0.8 1
-1954 11 18    -0.7    -1.1    -1.1 1
-1954 11 19    -1.5    -1.9    -1.9 1
-1954 11 20    -1.5    -1.9    -1.9 1
-1954 11 21    -2.4    -2.8    -2.8 1
-1954 11 22    -2.6    -3.0    -3.0 1
-1954 11 23     0.1    -0.3    -0.3 1
-1954 11 24     1.5     1.1     1.1 1
-1954 11 25     2.0     1.6     1.6 1
-1954 11 26     2.8     2.4     2.4 1
-1954 11 27     2.5     2.1     2.1 1
-1954 11 28     2.7     2.3     2.3 1
-1954 11 29     4.0     3.6     3.6 1
-1954 11 30     2.2     1.8     1.8 1
-1954 12  1     2.4     2.0     2.0 1
-1954 12  2     4.9     4.5     4.5 1
-1954 12  3     7.2     6.8     6.8 1
-1954 12  4     5.7     5.3     5.3 1
-1954 12  5     4.0     3.6     3.6 1
-1954 12  6     2.1     1.7     1.7 1
-1954 12  7     1.4     1.0     1.0 1
-1954 12  8     0.7     0.3     0.3 1
-1954 12  9     0.0    -0.5    -0.5 1
-1954 12 10     3.5     3.0     3.0 1
-1954 12 11     2.7     2.2     2.2 1
-1954 12 12     3.8     3.3     3.3 1
-1954 12 13     4.1     3.6     3.6 1
-1954 12 14     2.7     2.2     2.2 1
-1954 12 15     3.9     3.4     3.4 1
-1954 12 16     2.4     1.9     1.9 1
-1954 12 17     2.5     2.0     2.0 1
-1954 12 18     4.0     3.5     3.5 1
-1954 12 19     6.1     5.6     5.6 1
-1954 12 20     5.1     4.6     4.6 1
-1954 12 21     0.1    -0.4    -0.4 1
-1954 12 22     1.4     0.9     0.9 1
-1954 12 23     0.9     0.4     0.4 1
-1954 12 24     0.3    -0.2    -0.2 1
-1954 12 25    -3.9    -4.4    -4.4 1
-1954 12 26    -4.9    -5.4    -5.4 1
-1954 12 27     0.5    -0.1    -0.1 1
-1954 12 28     1.3     0.7     0.7 1
-1954 12 29     0.6     0.0     0.0 1
-1954 12 30    -0.3    -0.9    -0.9 1
-1954 12 31    -1.6    -2.2    -2.2 1
-1955  1  1    -2.7    -3.3    -3.3 1
-1955  1  2    -1.2    -1.8    -1.8 1
-1955  1  3    -1.1    -1.7    -1.7 1
-1955  1  4    -2.4    -3.0    -3.0 1
-1955  1  5    -2.7    -3.3    -3.3 1
-1955  1  6    -5.1    -5.7    -5.7 1
-1955  1  7    -0.2    -0.8    -0.8 1
-1955  1  8    -3.6    -4.2    -4.2 1
-1955  1  9    -2.6    -3.3    -3.3 1
-1955  1 10    -1.1    -1.8    -1.8 1
-1955  1 11    -1.3    -2.0    -2.0 1
-1955  1 12    -4.6    -5.3    -5.3 1
-1955  1 13    -5.7    -6.4    -6.4 1
-1955  1 14    -5.6    -6.3    -6.3 1
-1955  1 15    -8.6    -9.3    -9.3 1
-1955  1 16    -3.6    -4.3    -4.3 1
-1955  1 17    -9.3   -10.0   -10.0 1
-1955  1 18   -10.9   -11.6   -11.6 1
-1955  1 19    -7.2    -7.9    -7.9 1
-1955  1 20    -8.8    -9.5    -9.5 1
-1955  1 21    -7.8    -8.5    -8.5 1
-1955  1 22    -1.7    -2.4    -2.4 1
-1955  1 23    -2.0    -2.7    -2.7 1
-1955  1 24    -0.8    -1.5    -1.5 1
-1955  1 25     4.0     3.3     3.3 1
-1955  1 26     2.5     1.8     1.8 1
-1955  1 27     1.8     1.1     1.1 1
-1955  1 28     0.5    -0.2    -0.2 1
-1955  1 29     2.0     1.3     1.3 1
-1955  1 30     2.1     1.4     1.4 1
-1955  1 31     3.6     2.9     2.9 1
-1955  2  1     1.7     1.0     1.0 1
-1955  2  2     2.5     1.8     1.8 1
-1955  2  3     0.7     0.0     0.0 1
-1955  2  4     1.3     0.6     0.6 1
-1955  2  5     1.7     1.0     1.0 1
-1955  2  6     1.9     1.2     1.2 1
-1955  2  7     0.0    -0.7    -0.7 1
-1955  2  8    -3.0    -3.7    -3.7 1
-1955  2  9    -2.7    -3.4    -3.4 1
-1955  2 10    -4.1    -4.8    -4.8 1
-1955  2 11    -5.8    -6.5    -6.5 1
-1955  2 12    -5.9    -6.6    -6.6 1
-1955  2 13   -11.2   -11.9   -11.9 1
-1955  2 14    -7.6    -8.3    -8.3 1
-1955  2 15    -8.3    -9.0    -9.0 1
-1955  2 16    -8.0    -8.7    -8.7 1
-1955  2 17    -5.7    -6.4    -6.4 1
-1955  2 18    -4.4    -5.1    -5.1 1
-1955  2 19    -7.4    -8.1    -8.1 1
-1955  2 20   -10.6   -11.3   -11.3 1
-1955  2 21    -7.2    -7.9    -7.9 1
-1955  2 22    -7.0    -7.7    -7.7 1
-1955  2 23    -5.7    -6.4    -6.4 1
-1955  2 24    -8.1    -8.9    -8.9 1
-1955  2 25    -7.4    -8.2    -8.2 1
-1955  2 26    -4.0    -4.8    -4.8 1
-1955  2 27    -5.3    -6.1    -6.1 1
-1955  2 28    -5.1    -5.9    -5.9 1
-1955  3  1    -3.3    -4.1    -4.1 1
-1955  3  2    -2.0    -2.8    -2.8 1
-1955  3  3    -1.0    -1.8    -1.8 1
-1955  3  4    -0.9    -1.7    -1.7 1
-1955  3  5    -1.7    -2.5    -2.5 1
-1955  3  6    -4.8    -5.6    -5.6 1
-1955  3  7    -3.2    -4.0    -4.0 1
-1955  3  8    -5.4    -6.2    -6.2 1
-1955  3  9    -6.9    -7.7    -7.7 1
-1955  3 10    -4.4    -5.2    -5.2 1
-1955  3 11    -2.9    -3.7    -3.7 1
-1955  3 12     0.8     0.0     0.0 1
-1955  3 13     2.2     1.4     1.4 1
-1955  3 14     1.4     0.6     0.6 1
-1955  3 15     3.3     2.5     2.5 1
-1955  3 16     1.3     0.5     0.5 1
-1955  3 17    -4.9    -5.7    -5.7 1
-1955  3 18    -7.4    -8.2    -8.2 1
-1955  3 19    -5.9    -6.7    -6.7 1
-1955  3 20    -5.2    -6.0    -6.0 1
-1955  3 21    -5.4    -6.2    -6.2 1
-1955  3 22    -4.8    -5.6    -5.6 1
-1955  3 23    -3.4    -4.2    -4.2 1
-1955  3 24    -1.7    -2.5    -2.5 1
-1955  3 25    -0.8    -1.6    -1.6 1
-1955  3 26    -1.4    -2.2    -2.2 1
-1955  3 27    -3.4    -4.2    -4.2 1
-1955  3 28    -4.2    -5.0    -5.0 1
-1955  3 29    -5.5    -6.3    -6.3 1
-1955  3 30    -0.8    -1.6    -1.6 1
-1955  3 31    -0.6    -1.3    -1.3 1
-1955  4  1    -1.5    -2.2    -2.2 1
-1955  4  2     0.4    -0.3    -0.3 1
-1955  4  3     3.0     2.3     2.3 1
-1955  4  4     0.9     0.2     0.2 1
-1955  4  5    -0.5    -1.2    -1.2 1
-1955  4  6     0.5    -0.2    -0.2 1
-1955  4  7    -1.5    -2.2    -2.2 1
-1955  4  8    -2.5    -3.2    -3.2 1
-1955  4  9    -4.6    -5.3    -5.3 1
-1955  4 10    -3.9    -4.6    -4.6 1
-1955  4 11    -1.1    -1.8    -1.8 1
-1955  4 12     0.6    -0.1    -0.1 1
-1955  4 13     3.1     2.4     2.4 1
-1955  4 14     1.3     0.6     0.6 1
-1955  4 15     2.7     2.0     2.0 1
-1955  4 16     5.0     4.3     4.3 1
-1955  4 17     1.3     0.6     0.6 1
-1955  4 18     0.5    -0.2    -0.2 1
-1955  4 19     4.5     3.8     3.8 1
-1955  4 20     5.3     4.5     4.5 1
-1955  4 21     1.2     0.4     0.4 1
-1955  4 22     0.9     0.1     0.1 1
-1955  4 23     1.8     1.0     1.0 1
-1955  4 24     2.2     1.4     1.4 1
-1955  4 25     2.7     1.9     1.9 1
-1955  4 26     1.7     0.8     0.8 1
-1955  4 27     4.2     3.3     3.3 1
-1955  4 28     5.7     4.8     4.8 1
-1955  4 29    10.8     9.9     9.9 1
-1955  4 30     6.7     5.8     5.8 1
-1955  5  1     5.2     4.3     4.3 1
-1955  5  2     5.2     4.2     4.2 1
-1955  5  3     6.9     5.9     5.9 1
-1955  5  4     5.7     4.7     4.7 1
-1955  5  5     8.9     7.9     7.9 1
-1955  5  6     8.9     7.9     7.9 1
-1955  5  7     4.9     3.9     3.9 1
-1955  5  8     5.7     4.6     4.6 1
-1955  5  9     7.0     5.9     5.9 1
-1955  5 10     9.9     8.8     8.8 1
-1955  5 11     7.1     6.0     6.0 1
-1955  5 12     6.8     5.7     5.7 1
-1955  5 13     5.8     4.7     4.7 1
-1955  5 14     8.2     7.0     7.0 1
-1955  5 15     8.2     7.0     7.0 1
-1955  5 16     8.8     7.6     7.6 1
-1955  5 17     6.8     5.6     5.6 1
-1955  5 18     7.4     6.2     6.2 1
-1955  5 19     8.7     7.5     7.5 1
-1955  5 20     8.8     7.7     7.7 1
-1955  5 21     7.9     6.8     6.8 1
-1955  5 22     6.1     5.0     5.0 1
-1955  5 23     5.3     4.2     4.2 1
-1955  5 24     5.9     4.8     4.8 1
-1955  5 25     7.5     6.4     6.4 1
-1955  5 26     6.6     5.5     5.5 1
-1955  5 27     9.3     8.2     8.2 1
-1955  5 28    11.6    10.5    10.5 1
-1955  5 29     9.4     8.3     8.3 1
-1955  5 30    11.7    10.6    10.6 1
-1955  5 31    11.6    10.5    10.5 1
-1955  6  1    12.3    11.3    11.3 1
-1955  6  2    14.3    13.3    13.3 1
-1955  6  3    14.3    13.3    13.3 1
-1955  6  4    17.3    16.3    16.3 1
-1955  6  5    17.4    16.4    16.4 1
-1955  6  6    15.6    14.6    14.6 1
-1955  6  7     7.0     6.0     6.0 1
-1955  6  8     7.5     6.5     6.5 1
-1955  6  9     9.1     8.1     8.1 1
-1955  6 10    10.5     9.5     9.5 1
-1955  6 11    11.2    10.2    10.2 1
-1955  6 12    11.9    10.9    10.9 1
-1955  6 13    10.0     9.0     9.0 1
-1955  6 14    11.6    10.7    10.7 1
-1955  6 15    10.3     9.4     9.4 1
-1955  6 16     9.9     9.0     9.0 1
-1955  6 17     9.5     8.6     8.6 1
-1955  6 18    11.1    10.2    10.2 1
-1955  6 19    12.2    11.3    11.3 1
-1955  6 20    13.3    12.4    12.4 1
-1955  6 21    12.6    11.7    11.7 1
-1955  6 22    16.1    15.2    15.2 1
-1955  6 23    18.1    17.2    17.2 1
-1955  6 24    17.5    16.6    16.6 1
-1955  6 25    18.4    17.5    17.5 1
-1955  6 26    15.9    15.0    15.0 1
-1955  6 27    14.6    13.7    13.7 1
-1955  6 28    16.5    15.6    15.6 1
-1955  6 29    16.8    15.9    15.9 1
-1955  6 30    17.4    16.5    16.5 1
-1955  7  1    17.6    16.7    16.7 1
-1955  7  2    17.5    16.6    16.6 1
-1955  7  3    14.6    13.7    13.7 1
-1955  7  4    18.0    17.1    17.1 1
-1955  7  5    17.3    16.4    16.4 1
-1955  7  6    17.6    16.7    16.7 1
-1955  7  7    21.3    20.4    20.4 1
-1955  7  8    19.3    18.4    18.4 1
-1955  7  9    18.9    18.0    18.0 1
-1955  7 10    21.9    21.0    21.0 1
-1955  7 11    22.3    21.4    21.4 1
-1955  7 12    22.8    21.9    21.9 1
-1955  7 13    24.8    23.9    23.9 1
-1955  7 14    25.1    24.2    24.2 1
-1955  7 15    26.2    25.3    25.3 1
-1955  7 16    21.9    21.0    21.0 1
-1955  7 17    24.4    23.5    23.5 1
-1955  7 18    18.3    17.5    17.5 1
-1955  7 19    17.9    17.1    17.1 1
-1955  7 20    19.6    18.8    18.8 1
-1955  7 21    19.5    18.7    18.7 1
-1955  7 22    18.5    17.7    17.7 1
-1955  7 23    18.2    17.4    17.4 1
-1955  7 24    16.1    15.3    15.3 1
-1955  7 25    16.2    15.4    15.4 1
-1955  7 26    18.3    17.5    17.5 1
-1955  7 27    17.9    17.1    17.1 1
-1955  7 28    19.3    18.5    18.5 1
-1955  7 29    16.5    15.7    15.7 1
-1955  7 30    20.0    19.2    19.2 1
-1955  7 31    23.7    22.9    22.9 1
-1955  8  1    23.5    22.8    22.8 1
-1955  8  2    18.1    17.4    17.4 1
-1955  8  3    15.2    14.5    14.5 1
-1955  8  4    18.5    17.8    17.8 1
-1955  8  5    20.0    19.3    19.3 1
-1955  8  6    18.7    18.0    18.0 1
-1955  8  7    16.9    16.2    16.2 1
-1955  8  8    16.7    16.0    16.0 1
-1955  8  9    17.3    16.6    16.6 1
-1955  8 10    19.2    18.5    18.5 1
-1955  8 11    19.6    18.9    18.9 1
-1955  8 12    18.6    17.9    17.9 1
-1955  8 13    19.9    19.2    19.2 1
-1955  8 14    21.3    20.7    20.7 1
-1955  8 15    20.9    20.3    20.3 1
-1955  8 16    23.0    22.4    22.4 1
-1955  8 17    22.4    21.8    21.8 1
-1955  8 18    21.0    20.4    20.4 1
-1955  8 19    21.5    20.9    20.9 1
-1955  8 20    20.6    20.0    20.0 1
-1955  8 21    21.9    21.3    21.3 1
-1955  8 22    18.4    17.9    17.9 1
-1955  8 23    18.9    18.4    18.4 1
-1955  8 24    18.7    18.2    18.2 1
-1955  8 25    18.0    17.5    17.5 1
-1955  8 26    20.1    19.6    19.6 1
-1955  8 27    20.3    19.8    19.8 1
-1955  8 28    19.6    19.1    19.1 1
-1955  8 29    17.3    16.9    16.9 1
-1955  8 30    19.9    19.5    19.5 1
-1955  8 31    21.0    20.6    20.6 1
-1955  9  1    18.7    18.3    18.3 1
-1955  9  2    17.6    17.2    17.2 1
-1955  9  3    17.1    16.7    16.7 1
-1955  9  4    16.4    16.0    16.0 1
-1955  9  5    16.7    16.4    16.4 1
-1955  9  6    17.9    17.6    17.6 1
-1955  9  7    18.1    17.8    17.8 1
-1955  9  8    20.0    19.7    19.7 1
-1955  9  9    20.7    20.4    20.4 1
-1955  9 10    19.7    19.4    19.4 1
-1955  9 11    16.9    16.6    16.6 1
-1955  9 12    17.7    17.4    17.4 1
-1955  9 13    11.4    11.2    11.2 1
-1955  9 14    11.9    11.7    11.7 1
-1955  9 15    12.0    11.8    11.8 1
-1955  9 16    14.0    13.8    13.8 1
-1955  9 17    13.4    13.2    13.2 1
-1955  9 18    12.5    12.3    12.3 1
-1955  9 19    10.9    10.7    10.7 1
-1955  9 20    11.1    10.9    10.9 1
-1955  9 21    10.9    10.7    10.7 1
-1955  9 22    10.7    10.5    10.5 1
-1955  9 23    10.6    10.4    10.4 1
-1955  9 24    11.0    10.8    10.8 1
-1955  9 25    13.1    12.9    12.9 1
-1955  9 26    13.4    13.2    13.2 1
-1955  9 27    10.3    10.1    10.1 1
-1955  9 28     8.7     8.5     8.5 1
-1955  9 29    10.5    10.3    10.3 1
-1955  9 30    15.1    14.9    14.9 1
-1955 10  1    10.7    10.5    10.5 1
-1955 10  2     9.2     9.0     9.0 1
-1955 10  3    11.3    11.1    11.1 1
-1955 10  4    10.9    10.7    10.7 1
-1955 10  5     9.2     9.0     9.0 1
-1955 10  6    11.0    10.8    10.8 1
-1955 10  7    11.6    11.4    11.4 1
-1955 10  8    10.7    10.5    10.5 1
-1955 10  9    12.2    12.0    12.0 1
-1955 10 10    14.6    14.4    14.4 1
-1955 10 11    13.0    12.8    12.8 1
-1955 10 12    12.2    12.0    12.0 1
-1955 10 13    12.9    12.7    12.7 1
-1955 10 14    13.3    13.1    13.1 1
-1955 10 15     8.9     8.7     8.7 1
-1955 10 16     1.8     1.6     1.6 1
-1955 10 17     2.1     1.9     1.9 1
-1955 10 18     3.7     3.5     3.5 1
-1955 10 19     1.3     1.1     1.1 1
-1955 10 20     6.7     6.5     6.5 1
-1955 10 21     9.5     9.3     9.3 1
-1955 10 22     4.4     4.2     4.2 1
-1955 10 23     1.9     1.7     1.7 1
-1955 10 24     3.4     3.2     3.2 1
-1955 10 25     2.6     2.4     2.4 1
-1955 10 26     3.0     2.8     2.8 1
-1955 10 27     2.9     2.6     2.6 1
-1955 10 28     0.2    -0.1    -0.1 1
-1955 10 29     0.1    -0.2    -0.2 1
-1955 10 30    -0.9    -1.2    -1.2 1
-1955 10 31    -3.2    -3.5    -3.5 1
-1955 11  1     0.9     0.6     0.6 1
-1955 11  2     4.9     4.6     4.6 1
-1955 11  3     3.0     2.7     2.7 1
-1955 11  4     4.0     3.7     3.7 1
-1955 11  5     6.2     5.9     5.9 1
-1955 11  6     4.2     3.9     3.9 1
-1955 11  7     3.7     3.4     3.4 1
-1955 11  8     4.8     4.5     4.5 1
-1955 11  9     7.1     6.8     6.8 1
-1955 11 10     8.3     8.0     8.0 1
-1955 11 11     8.2     7.8     7.8 1
-1955 11 12     6.9     6.5     6.5 1
-1955 11 13     5.6     5.2     5.2 1
-1955 11 14     3.1     2.7     2.7 1
-1955 11 15     0.8     0.4     0.4 1
-1955 11 16     2.4     2.0     2.0 1
-1955 11 17     3.5     3.1     3.1 1
-1955 11 18     4.6     4.2     4.2 1
-1955 11 19     2.9     2.5     2.5 1
-1955 11 20     2.2     1.8     1.8 1
-1955 11 21     1.3     0.9     0.9 1
-1955 11 22     3.6     3.2     3.2 1
-1955 11 23     1.9     1.5     1.5 1
-1955 11 24    -1.8    -2.2    -2.2 1
-1955 11 25    -5.1    -5.5    -5.5 1
-1955 11 26     2.1     1.7     1.7 1
-1955 11 27     2.3     1.9     1.9 1
-1955 11 28    -4.2    -4.6    -4.6 1
-1955 11 29    -9.0    -9.4    -9.4 1
-1955 11 30     1.5     1.1     1.1 1
-1955 12  1     3.3     2.9     2.9 1
-1955 12  2     3.7     3.3     3.3 1
-1955 12  3     3.2     2.8     2.8 1
-1955 12  4    -1.6    -2.0    -2.0 1
-1955 12  5    -1.2    -1.6    -1.6 1
-1955 12  6     4.6     4.1     4.1 1
-1955 12  7     1.8     1.3     1.3 1
-1955 12  8    -1.9    -2.4    -2.4 1
-1955 12  9    -5.1    -5.6    -5.6 1
-1955 12 10    -7.5    -8.0    -8.0 1
-1955 12 11    -7.6    -8.1    -8.1 1
-1955 12 12    -7.3    -7.8    -7.8 1
-1955 12 13    -9.3    -9.8    -9.8 1
-1955 12 14   -14.0   -14.5   -14.5 1
-1955 12 15    -5.0    -5.5    -5.5 1
-1955 12 16    -5.2    -5.7    -5.7 1
-1955 12 17    -3.6    -4.1    -4.1 1
-1955 12 18    -4.7    -5.2    -5.2 1
-1955 12 19    -5.6    -6.1    -6.1 1
-1955 12 20   -12.7   -13.2   -13.2 1
-1955 12 21    -5.2    -5.7    -5.7 1
-1955 12 22    -2.5    -3.0    -3.0 1
-1955 12 23    -8.1    -8.6    -8.6 1
-1955 12 24    -0.8    -1.3    -1.3 1
-1955 12 25     0.3    -0.2    -0.2 1
-1955 12 26     0.4    -0.2    -0.2 1
-1955 12 27     2.7     2.1     2.1 1
-1955 12 28     3.2     2.6     2.6 1
-1955 12 29     3.0     2.4     2.4 1
-1955 12 30     1.5     0.9     0.9 1
-1955 12 31    -0.9    -1.5    -1.5 1
-1956  1  1    -3.0    -3.6    -3.6 1
-1956  1  2    -2.7    -3.3    -3.3 1
-1956  1  3    -1.3    -1.9    -1.9 1
-1956  1  4     2.2     1.6     1.6 1
-1956  1  5     0.8     0.2     0.2 1
-1956  1  6     1.7     1.1     1.1 1
-1956  1  7     2.0     1.4     1.4 1
-1956  1  8    -0.3    -1.0    -1.0 1
-1956  1  9    -2.5    -3.2    -3.2 1
-1956  1 10    -1.0    -1.7    -1.7 1
-1956  1 11    -0.4    -1.1    -1.1 1
-1956  1 12     1.1     0.4     0.4 1
-1956  1 13     0.9     0.2     0.2 1
-1956  1 14    -2.1    -2.8    -2.8 1
-1956  1 15    -2.9    -3.6    -3.6 1
-1956  1 16    -4.5    -5.2    -5.2 1
-1956  1 17    -1.5    -2.2    -2.2 1
-1956  1 18    -0.6    -1.3    -1.3 1
-1956  1 19    -7.6    -8.3    -8.3 1
-1956  1 20    -4.8    -5.5    -5.5 1
-1956  1 21     1.2     0.5     0.5 1
-1956  1 22    -4.2    -4.9    -4.9 1
-1956  1 23    -4.6    -5.3    -5.3 1
-1956  1 24    -7.4    -8.1    -8.1 1
-1956  1 25    -5.8    -6.5    -6.5 1
-1956  1 26    -7.6    -8.3    -8.3 1
-1956  1 27    -9.5   -10.2   -10.2 1
-1956  1 28    -7.6    -8.3    -8.3 1
-1956  1 29   -12.1   -12.8   -12.8 1
-1956  1 30   -17.4   -18.1   -18.1 1
-1956  1 31   -20.7   -21.4   -21.4 1
-1956  2  1   -13.3   -14.0   -14.0 1
-1956  2  2    -2.3    -3.0    -3.0 1
-1956  2  3    -3.4    -4.1    -4.1 1
-1956  2  4    -5.4    -6.1    -6.1 1
-1956  2  5    -5.5    -6.2    -6.2 1
-1956  2  6   -10.2   -10.9   -10.9 1
-1956  2  7   -13.6   -14.3   -14.3 1
-1956  2  8   -16.5   -17.2   -17.2 1
-1956  2  9   -22.0   -22.7   -22.7 1
-1956  2 10   -18.3   -19.0   -19.0 1
-1956  2 11   -11.7   -12.4   -12.4 1
-1956  2 12   -11.5   -12.2   -12.2 1
-1956  2 13   -15.3   -16.0   -16.0 1
-1956  2 14   -13.3   -14.0   -14.0 1
-1956  2 15    -8.0    -8.7    -8.7 1
-1956  2 16    -7.1    -7.8    -7.8 1
-1956  2 17    -5.9    -6.6    -6.6 1
-1956  2 18    -7.5    -8.2    -8.2 1
-1956  2 19    -7.5    -8.2    -8.2 1
-1956  2 20    -3.2    -4.0    -4.0 1
-1956  2 21    -4.8    -5.6    -5.6 1
-1956  2 22    -7.8    -8.6    -8.6 1
-1956  2 23   -12.6   -13.4   -13.4 1
-1956  2 24    -6.2    -7.0    -7.0 1
-1956  2 25    -3.8    -4.6    -4.6 1
-1956  2 26    -2.7    -3.5    -3.5 1
-1956  2 27    -3.5    -4.3    -4.3 1
-1956  2 28    -3.4    -4.2    -4.2 1
-1956  2 29     0.8     0.0     0.0 1
-1956  3  1     2.0     1.2     1.2 1
-1956  3  2    -0.1    -0.9    -0.9 1
-1956  3  3    -3.7    -4.5    -4.5 1
-1956  3  4    -0.6    -1.4    -1.4 1
-1956  3  5    -3.5    -4.3    -4.3 1
-1956  3  6    -6.1    -6.9    -6.9 1
-1956  3  7    -6.3    -7.1    -7.1 1
-1956  3  8    -6.4    -7.2    -7.2 1
-1956  3  9    -3.0    -3.8    -3.8 1
-1956  3 10    -3.3    -4.1    -4.1 1
-1956  3 11    -1.5    -2.3    -2.3 1
-1956  3 12     1.0     0.2     0.2 1
-1956  3 13     1.5     0.7     0.7 1
-1956  3 14    -0.8    -1.6    -1.6 1
-1956  3 15    -4.8    -5.6    -5.6 1
-1956  3 16    -1.6    -2.4    -2.4 1
-1956  3 17     0.3    -0.5    -0.5 1
-1956  3 18    -0.9    -1.7    -1.7 1
-1956  3 19    -2.2    -3.0    -3.0 1
-1956  3 20    -1.4    -2.2    -2.2 1
-1956  3 21    -0.7    -1.5    -1.5 1
-1956  3 22    -1.3    -2.1    -2.1 1
-1956  3 23    -0.4    -1.2    -1.2 1
-1956  3 24    -0.5    -1.3    -1.3 1
-1956  3 25    -0.7    -1.5    -1.5 1
-1956  3 26    -0.5    -1.3    -1.3 1
-1956  3 27     0.9     0.1     0.1 1
-1956  3 28     4.5     3.7     3.7 1
-1956  3 29     5.4     4.6     4.6 1
-1956  3 30     5.8     5.0     5.0 1
-1956  3 31     4.1     3.3     3.3 1
-1956  4  1     3.6     2.8     2.8 1
-1956  4  2     5.5     4.8     4.8 1
-1956  4  3     0.0    -0.7    -0.7 1
-1956  4  4    -1.0    -1.7    -1.7 1
-1956  4  5    -1.5    -2.2    -2.2 1
-1956  4  6    -1.3    -2.0    -2.0 1
-1956  4  7    -2.8    -3.5    -3.5 1
-1956  4  8    -1.5    -2.2    -2.2 1
-1956  4  9     0.4    -0.3    -0.3 1
-1956  4 10     1.3     0.6     0.6 1
-1956  4 11     0.1    -0.6    -0.6 1
-1956  4 12     0.4    -0.3    -0.3 1
-1956  4 13    -1.9    -2.6    -2.6 1
-1956  4 14    -1.3    -2.0    -2.0 1
-1956  4 15    -2.3    -3.0    -3.0 1
-1956  4 16    -0.3    -1.0    -1.0 1
-1956  4 17    -1.2    -1.9    -1.9 1
-1956  4 18     2.0     1.3     1.3 1
-1956  4 19     5.0     4.2     4.2 1
-1956  4 20     3.4     2.6     2.6 1
-1956  4 21     1.3     0.5     0.5 1
-1956  4 22     4.8     4.0     4.0 1
-1956  4 23     5.2     4.4     4.4 1
-1956  4 24     5.5     4.7     4.7 1
-1956  4 25     3.4     2.5     2.5 1
-1956  4 26     4.2     3.3     3.3 1
-1956  4 27     3.8     2.9     2.9 1
-1956  4 28     3.8     2.9     2.9 1
-1956  4 29     3.6     2.7     2.7 1
-1956  4 30     4.1     3.2     3.2 1
-1956  5  1     4.0     3.0     3.0 1
-1956  5  2     5.9     4.9     4.9 1
-1956  5  3     8.2     7.2     7.2 1
-1956  5  4    11.0    10.0    10.0 1
-1956  5  5    10.8     9.8     9.8 1
-1956  5  6    11.7    10.7    10.7 1
-1956  5  7    10.0     8.9     8.9 1
-1956  5  8    10.8     9.7     9.7 1
-1956  5  9     9.7     8.6     8.6 1
-1956  5 10     9.8     8.7     8.7 1
-1956  5 11     9.9     8.8     8.8 1
-1956  5 12    11.9    10.8    10.8 1
-1956  5 13    12.6    11.4    11.4 1
-1956  5 14    12.9    11.7    11.7 1
-1956  5 15    11.6    10.4    10.4 1
-1956  5 16    10.8     9.6     9.6 1
-1956  5 17    10.4     9.2     9.2 1
-1956  5 18     8.6     7.4     7.4 1
-1956  5 19     9.1     7.9     7.9 1
-1956  5 20    10.1     8.9     8.9 1
-1956  5 21    10.4     9.2     9.2 1
-1956  5 22    11.2    10.1    10.1 1
-1956  5 23    14.1    13.0    13.0 1
-1956  5 24    15.8    14.7    14.7 1
-1956  5 25    14.9    13.8    13.8 1
-1956  5 26    13.7    12.6    12.6 1
-1956  5 27    12.4    11.3    11.3 1
-1956  5 28    16.1    15.0    15.0 1
-1956  5 29    17.3    16.2    16.2 1
-1956  5 30    14.6    13.5    13.5 1
-1956  5 31    14.5    13.4    13.4 1
-1956  6  1    16.5    15.4    15.4 1
-1956  6  2    15.8    14.7    14.7 1
-1956  6  3    15.4    14.4    14.4 1
-1956  6  4    13.8    12.8    12.8 1
-1956  6  5    13.7    12.7    12.7 1
-1956  6  6    15.4    14.4    14.4 1
-1956  6  7    12.6    11.6    11.6 1
-1956  6  8    16.8    15.8    15.8 1
-1956  6  9    21.1    20.1    20.1 1
-1956  6 10    16.8    15.8    15.8 1
-1956  6 11    16.2    15.2    15.2 1
-1956  6 12    15.6    14.6    14.6 1
-1956  6 13    14.5    13.5    13.5 1
-1956  6 14    16.0    15.0    15.0 1
-1956  6 15    13.7    12.8    12.8 1
-1956  6 16     9.3     8.4     8.4 1
-1956  6 17    12.0    11.1    11.1 1
-1956  6 18    13.7    12.8    12.8 1
-1956  6 19    15.8    14.9    14.9 1
-1956  6 20    15.1    14.2    14.2 1
-1956  6 21    11.6    10.7    10.7 1
-1956  6 22    13.3    12.4    12.4 1
-1956  6 23    15.8    14.9    14.9 1
-1956  6 24    15.3    14.4    14.4 1
-1956  6 25    14.1    13.2    13.2 1
-1956  6 26    10.8     9.9     9.9 1
-1956  6 27    12.3    11.4    11.4 1
-1956  6 28    11.8    10.9    10.9 1
-1956  6 29    12.3    11.4    11.4 1
-1956  6 30    11.7    10.8    10.8 1
-1956  7  1    16.0    15.1    15.1 1
-1956  7  2    17.8    16.9    16.9 1
-1956  7  3    17.7    16.8    16.8 1
-1956  7  4    18.6    17.7    17.7 1
-1956  7  5    16.8    15.9    15.9 1
-1956  7  6    15.8    14.9    14.9 1
-1956  7  7    16.9    16.0    16.0 1
-1956  7  8    13.8    12.9    12.9 1
-1956  7  9    17.9    17.0    17.0 1
-1956  7 10    19.5    18.6    18.6 1
-1956  7 11    16.1    15.2    15.2 1
-1956  7 12    17.1    16.2    16.2 1
-1956  7 13    14.7    13.8    13.8 1
-1956  7 14    16.6    15.7    15.7 1
-1956  7 15    16.6    15.7    15.7 1
-1956  7 16    17.2    16.3    16.3 1
-1956  7 17    15.9    15.0    15.0 1
-1956  7 18    17.5    16.6    16.6 1
-1956  7 19    17.1    16.2    16.2 1
-1956  7 20    16.4    15.6    15.6 1
-1956  7 21    15.2    14.4    14.4 1
-1956  7 22    15.7    14.9    14.9 1
-1956  7 23    13.3    12.5    12.5 1
-1956  7 24    13.1    12.3    12.3 1
-1956  7 25    13.6    12.8    12.8 1
-1956  7 26    15.4    14.6    14.6 1
-1956  7 27    12.6    11.8    11.8 1
-1956  7 28    16.2    15.4    15.4 1
-1956  7 29    16.4    15.6    15.6 1
-1956  7 30    16.4    15.6    15.6 1
-1956  7 31    15.5    14.7    14.7 1
-1956  8  1    14.7    13.9    13.9 1
-1956  8  2    14.4    13.7    13.7 1
-1956  8  3    14.6    13.9    13.9 1
-1956  8  4    14.1    13.4    13.4 1
-1956  8  5    15.6    14.9    14.9 1
-1956  8  6    17.3    16.6    16.6 1
-1956  8  7    15.4    14.7    14.7 1
-1956  8  8    14.8    14.1    14.1 1
-1956  8  9    13.6    12.9    12.9 1
-1956  8 10    13.3    12.6    12.6 1
-1956  8 11    15.2    14.5    14.5 1
-1956  8 12    14.5    13.8    13.8 1
-1956  8 13    13.9    13.2    13.2 1
-1956  8 14    13.9    13.2    13.2 1
-1956  8 15    13.1    12.4    12.4 1
-1956  8 16    12.9    12.3    12.3 1
-1956  8 17    14.2    13.6    13.6 1
-1956  8 18    15.1    14.5    14.5 1
-1956  8 19    14.6    14.0    14.0 1
-1956  8 20    15.1    14.5    14.5 1
-1956  8 21    13.5    12.9    12.9 1
-1956  8 22    12.6    12.0    12.0 1
-1956  8 23    12.0    11.5    11.5 1
-1956  8 24    13.1    12.6    12.6 1
-1956  8 25    12.3    11.8    11.8 1
-1956  8 26    12.5    12.0    12.0 1
-1956  8 27    13.6    13.1    13.1 1
-1956  8 28    11.9    11.4    11.4 1
-1956  8 29    11.9    11.4    11.4 1
-1956  8 30    12.6    12.2    12.2 1
-1956  8 31    12.3    11.9    11.9 1
-1956  9  1    13.2    12.8    12.8 1
-1956  9  2    14.1    13.7    13.7 1
-1956  9  3    14.3    13.9    13.9 1
-1956  9  4    15.0    14.6    14.6 1
-1956  9  5    12.4    12.0    12.0 1
-1956  9  6    10.8    10.5    10.5 1
-1956  9  7    12.6    12.3    12.3 1
-1956  9  8    12.1    11.8    11.8 1
-1956  9  9    13.0    12.7    12.7 1
-1956  9 10    10.8    10.5    10.5 1
-1956  9 11    12.0    11.7    11.7 1
-1956  9 12    10.7    10.4    10.4 1
-1956  9 13    11.5    11.3    11.3 1
-1956  9 14    11.3    11.1    11.1 1
-1956  9 15    11.1    10.9    10.9 1
-1956  9 16     9.1     8.9     8.9 1
-1956  9 17     7.7     7.5     7.5 1
-1956  9 18     9.1     8.9     8.9 1
-1956  9 19    10.1     9.9     9.9 1
-1956  9 20    11.6    11.4    11.4 1
-1956  9 21    11.0    10.8    10.8 1
-1956  9 22     9.5     9.3     9.3 1
-1956  9 23     9.6     9.4     9.4 1
-1956  9 24    11.0    10.8    10.8 1
-1956  9 25    12.8    12.6    12.6 1
-1956  9 26    12.9    12.7    12.7 1
-1956  9 27    13.1    12.9    12.9 1
-1956  9 28    12.4    12.2    12.2 1
-1956  9 29    13.8    13.6    13.6 1
-1956  9 30    12.9    12.7    12.7 1
-1956 10  1    11.4    11.2    11.2 1
-1956 10  2    10.7    10.5    10.5 1
-1956 10  3     7.6     7.4     7.4 1
-1956 10  4     9.1     8.9     8.9 1
-1956 10  5     6.6     6.4     6.4 1
-1956 10  6     4.9     4.7     4.7 1
-1956 10  7     5.0     4.8     4.8 1
-1956 10  8     4.6     4.4     4.4 1
-1956 10  9     3.8     3.6     3.6 1
-1956 10 10     6.6     6.4     6.4 1
-1956 10 11     9.1     8.9     8.9 1
-1956 10 12     9.3     9.1     9.1 1
-1956 10 13     8.4     8.2     8.2 1
-1956 10 14     7.4     7.2     7.2 1
-1956 10 15     5.1     4.9     4.9 1
-1956 10 16     6.0     5.8     5.8 1
-1956 10 17     7.3     7.1     7.1 1
-1956 10 18     9.2     9.0     9.0 1
-1956 10 19     8.7     8.5     8.5 1
-1956 10 20     6.3     6.1     6.1 1
-1956 10 21     8.5     8.3     8.3 1
-1956 10 22    12.1    11.9    11.9 1
-1956 10 23     7.6     7.4     7.4 1
-1956 10 24     9.4     9.2     9.2 1
-1956 10 25     7.5     7.3     7.3 1
-1956 10 26     3.9     3.6     3.6 1
-1956 10 27     1.1     0.8     0.8 1
-1956 10 28     1.8     1.5     1.5 1
-1956 10 29     0.6     0.3     0.3 1
-1956 10 30     0.7     0.4     0.4 1
-1956 10 31    -0.1    -0.4    -0.4 1
-1956 11  1     2.9     2.6     2.6 1
-1956 11  2    -0.9    -1.2    -1.2 1
-1956 11  3    -0.5    -0.8    -0.8 1
-1956 11  4     3.2     2.9     2.9 1
-1956 11  5     1.6     1.3     1.3 1
-1956 11  6    -2.2    -2.5    -2.5 1
-1956 11  7    -3.6    -3.9    -3.9 1
-1956 11  8    -0.1    -0.4    -0.4 1
-1956 11  9     2.7     2.3     2.3 1
-1956 11 10    -0.1    -0.5    -0.5 1
-1956 11 11    -1.5    -1.9    -1.9 1
-1956 11 12    -3.0    -3.4    -3.4 1
-1956 11 13    -0.1    -0.5    -0.5 1
-1956 11 14     2.8     2.4     2.4 1
-1956 11 15     0.9     0.5     0.5 1
-1956 11 16     2.3     1.9     1.9 1
-1956 11 17     1.5     1.1     1.1 1
-1956 11 18    -2.2    -2.6    -2.6 1
-1956 11 19    -1.9    -2.3    -2.3 1
-1956 11 20    -2.0    -2.4    -2.4 1
-1956 11 21    -3.0    -3.4    -3.4 1
-1956 11 22    -5.8    -6.2    -6.2 1
-1956 11 23    -2.1    -2.5    -2.5 1
-1956 11 24    -4.5    -4.9    -4.9 1
-1956 11 25     0.0    -0.4    -0.4 1
-1956 11 26    -1.1    -1.5    -1.5 1
-1956 11 27    -3.4    -3.8    -3.8 1
-1956 11 28    -6.9    -7.3    -7.3 1
-1956 11 29    -6.8    -7.2    -7.2 1
-1956 11 30    -6.3    -6.7    -6.7 1
-1956 12  1    -0.9    -1.3    -1.3 1
-1956 12  2     3.0     2.6     2.6 1
-1956 12  3     0.9     0.4     0.4 1
-1956 12  4    -1.4    -1.9    -1.9 1
-1956 12  5    -0.8    -1.3    -1.3 1
-1956 12  6    -2.1    -2.6    -2.6 1
-1956 12  7    -2.4    -2.9    -2.9 1
-1956 12  8    -4.3    -4.8    -4.8 1
-1956 12  9    -1.2    -1.7    -1.7 1
-1956 12 10     0.9     0.4     0.4 1
-1956 12 11     3.3     2.8     2.8 1
-1956 12 12     2.5     2.0     2.0 1
-1956 12 13     3.0     2.5     2.5 1
-1956 12 14     1.5     1.0     1.0 1
-1956 12 15     3.3     2.8     2.8 1
-1956 12 16     5.8     5.3     5.3 1
-1956 12 17     6.4     5.9     5.9 1
-1956 12 18     5.4     4.9     4.9 1
-1956 12 19     3.7     3.2     3.2 1
-1956 12 20     0.6     0.1     0.1 1
-1956 12 21     1.4     0.9     0.9 1
-1956 12 22    -1.5    -2.0    -2.0 1
-1956 12 23    -3.7    -4.2    -4.2 1
-1956 12 24    -3.5    -4.1    -4.1 1
-1956 12 25    -3.2    -3.8    -3.8 1
-1956 12 26    -1.5    -2.1    -2.1 1
-1956 12 27    -1.8    -2.4    -2.4 1
-1956 12 28    -1.4    -2.0    -2.0 1
-1956 12 29    -2.2    -2.8    -2.8 1
-1956 12 30    -0.9    -1.5    -1.5 1
-1956 12 31    -0.7    -1.3    -1.3 1
-1957  1  1    -2.9    -3.5    -3.5 1
-1957  1  2    -3.4    -4.0    -4.0 1
-1957  1  3    -3.3    -3.9    -3.9 1
-1957  1  4     0.6     0.0     0.0 1
-1957  1  5     2.7     2.1     2.1 1
-1957  1  6     1.7     1.1     1.1 1
-1957  1  7     0.3    -0.4    -0.4 1
-1957  1  8     4.8     4.1     4.1 1
-1957  1  9     7.4     6.7     6.7 1
-1957  1 10     1.6     0.9     0.9 1
-1957  1 11    -0.1    -0.8    -0.8 1
-1957  1 12    -2.1    -2.8    -2.8 1
-1957  1 13    -4.4    -5.1    -5.1 1
-1957  1 14    -6.0    -6.7    -6.7 1
-1957  1 15    -7.1    -7.8    -7.8 1
-1957  1 16    -0.6    -1.3    -1.3 1
-1957  1 17     0.2    -0.5    -0.5 1
-1957  1 18    -2.1    -2.8    -2.8 1
-1957  1 19    -0.8    -1.5    -1.5 1
-1957  1 20     2.7     2.0     2.0 1
-1957  1 21     6.0     5.3     5.3 1
-1957  1 22     3.4     2.7     2.7 1
-1957  1 23     0.6    -0.1    -0.1 1
-1957  1 24     1.6     0.9     0.9 1
-1957  1 25     1.2     0.5     0.5 1
-1957  1 26     0.7     0.0     0.0 1
-1957  1 27     1.5     0.8     0.8 1
-1957  1 28    -0.5    -1.2    -1.2 1
-1957  1 29     2.2     1.5     1.5 1
-1957  1 30     1.6     0.9     0.9 1
-1957  1 31    -0.7    -1.4    -1.4 1
-1957  2  1     1.3     0.6     0.6 1
-1957  2  2     2.9     2.2     2.2 1
-1957  2  3     2.6     1.9     1.9 1
-1957  2  4     0.6    -0.1    -0.1 1
-1957  2  5     4.7     4.0     4.0 1
-1957  2  6     4.1     3.4     3.4 1
-1957  2  7     2.8     2.1     2.1 1
-1957  2  8    -0.5    -1.2    -1.2 1
-1957  2  9    -0.8    -1.5    -1.5 1
-1957  2 10    -1.0    -1.7    -1.7 1
-1957  2 11    -2.1    -2.8    -2.8 1
-1957  2 12    -4.2    -4.9    -4.9 1
-1957  2 13    -0.6    -1.3    -1.3 1
-1957  2 14     0.7     0.0     0.0 1
-1957  2 15     1.5     0.8     0.8 1
-1957  2 16     1.2     0.5     0.5 1
-1957  2 17    -1.3    -2.1    -2.1 1
-1957  2 18    -0.4    -1.2    -1.2 1
-1957  2 19     0.7    -0.1    -0.1 1
-1957  2 20    -1.0    -1.8    -1.8 1
-1957  2 21    -2.0    -2.8    -2.8 1
-1957  2 22    -4.7    -5.5    -5.5 1
-1957  2 23    -5.2    -6.0    -6.0 1
-1957  2 24    -8.3    -9.1    -9.1 1
-1957  2 25    -5.9    -6.7    -6.7 1
-1957  2 26    -3.0    -3.8    -3.8 1
-1957  2 27    -2.2    -3.0    -3.0 1
-1957  2 28    -4.1    -4.9    -4.9 1
-1957  3  1    -3.5    -4.3    -4.3 1
-1957  3  2    -0.7    -1.5    -1.5 1
-1957  3  3    -0.7    -1.5    -1.5 1
-1957  3  4     1.7     0.9     0.9 1
-1957  3  5    -1.8    -2.6    -2.6 1
-1957  3  6    -5.3    -6.1    -6.1 1
-1957  3  7    -2.3    -3.1    -3.1 1
-1957  3  8    -1.4    -2.2    -2.2 1
-1957  3  9    -1.3    -2.1    -2.1 1
-1957  3 10    -0.3    -1.1    -1.1 1
-1957  3 11     2.3     1.5     1.5 1
-1957  3 12     3.5     2.7     2.7 1
-1957  3 13     4.0     3.2     3.2 1
-1957  3 14     2.7     1.9     1.9 1
-1957  3 15    -4.7    -5.6    -5.6 1
-1957  3 16    -9.9   -10.7   -10.7 1
-1957  3 17    -8.3    -9.1    -9.1 1
-1957  3 18    -5.3    -6.1    -6.1 1
-1957  3 19    -7.5    -8.3    -8.3 1
-1957  3 20    -7.3    -8.1    -8.1 1
-1957  3 21    -0.5    -1.3    -1.3 1
-1957  3 22    -4.7    -5.5    -5.5 1
-1957  3 23    -7.0    -7.8    -7.8 1
-1957  3 24    -5.5    -6.3    -6.3 1
-1957  3 25    -0.7    -1.5    -1.5 1
-1957  3 26     1.5     0.7     0.7 1
-1957  3 27     3.9     3.1     3.1 1
-1957  3 28     4.1     3.3     3.3 1
-1957  3 29     1.5     0.7     0.7 1
-1957  3 30     1.8     1.0     1.0 1
-1957  3 31     4.7     3.9     3.9 1
-1957  4  1     7.7     6.9     6.9 1
-1957  4  2     7.6     6.8     6.8 1
-1957  4  3     9.9     9.1     9.1 1
-1957  4  4    10.1     9.4     9.4 1
-1957  4  5     9.2     8.5     8.5 1
-1957  4  6     6.6     5.9     5.9 1
-1957  4  7     2.8     2.1     2.1 1
-1957  4  8     3.6     2.9     2.9 1
-1957  4  9    -0.9    -1.6    -1.6 1
-1957  4 10    -1.9    -2.6    -2.6 1
-1957  4 11    -2.2    -2.9    -2.9 1
-1957  4 12    -2.9    -3.6    -3.6 1
-1957  4 13    -2.4    -3.1    -3.1 1
-1957  4 14    -3.2    -3.9    -3.9 1
-1957  4 15    -2.6    -3.3    -3.3 1
-1957  4 16    -1.3    -2.0    -2.0 1
-1957  4 17     1.6     0.9     0.9 1
-1957  4 18     2.0     1.3     1.3 1
-1957  4 19     3.6     2.8     2.8 1
-1957  4 20     4.3     3.5     3.5 1
-1957  4 21     5.3     4.5     4.5 1
-1957  4 22     4.2     3.4     3.4 1
-1957  4 23     4.9     4.1     4.1 1
-1957  4 24     3.3     2.4     2.4 1
-1957  4 25     6.1     5.2     5.2 1
-1957  4 26     7.9     7.0     7.0 1
-1957  4 27     6.8     5.9     5.9 1
-1957  4 28    10.2     9.3     9.3 1
-1957  4 29    11.6    10.7    10.7 1
-1957  4 30     5.7     4.7     4.7 1
-1957  5  1     4.5     3.5     3.5 1
-1957  5  2     7.0     6.0     6.0 1
-1957  5  3     7.1     6.1     6.1 1
-1957  5  4     3.9     2.9     2.9 1
-1957  5  5     1.8     0.8     0.8 1
-1957  5  6     3.7     2.6     2.6 1
-1957  5  7     2.2     1.1     1.1 1
-1957  5  8     2.3     1.2     1.2 1
-1957  5  9     6.3     5.2     5.2 1
-1957  5 10     9.9     8.8     8.8 1
-1957  5 11     9.0     7.9     7.9 1
-1957  5 12     8.3     7.1     7.1 1
-1957  5 13    11.5    10.3    10.3 1
-1957  5 14    11.9    10.7    10.7 1
-1957  5 15    13.0    11.8    11.8 1
-1957  5 16    16.2    15.0    15.0 1
-1957  5 17    13.2    12.0    12.0 1
-1957  5 18    13.4    12.2    12.2 1
-1957  5 19    15.4    14.2    14.2 1
-1957  5 20    13.4    12.2    12.2 1
-1957  5 21    11.2    10.0    10.0 1
-1957  5 22    11.7    10.5    10.5 1
-1957  5 23     9.7     8.5     8.5 1
-1957  5 24     8.3     7.2     7.2 1
-1957  5 25     6.6     5.5     5.5 1
-1957  5 26     7.2     6.1     6.1 1
-1957  5 27     7.7     6.6     6.6 1
-1957  5 28     9.5     8.4     8.4 1
-1957  5 29     8.9     7.8     7.8 1
-1957  5 30    13.2    12.1    12.1 1
-1957  5 31    13.2    12.1    12.1 1
-1957  6  1    12.6    11.5    11.5 1
-1957  6  2    12.7    11.6    11.6 1
-1957  6  3    18.4    17.3    17.3 1
-1957  6  4    11.5    10.4    10.4 1
-1957  6  5     8.5     7.5     7.5 1
-1957  6  6    11.6    10.6    10.6 1
-1957  6  7    10.0     9.0     9.0 1
-1957  6  8    12.5    11.5    11.5 1
-1957  6  9    13.0    12.0    12.0 1
-1957  6 10    15.4    14.4    14.4 1
-1957  6 11    13.9    12.9    12.9 1
-1957  6 12    15.3    14.3    14.3 1
-1957  6 13    14.7    13.7    13.7 1
-1957  6 14    15.0    14.0    14.0 1
-1957  6 15    17.1    16.1    16.1 1
-1957  6 16    16.7    15.7    15.7 1
-1957  6 17    19.5    18.5    18.5 1
-1957  6 18    10.9     9.9     9.9 1
-1957  6 19    11.2    10.2    10.2 1
-1957  6 20    11.3    10.3    10.3 1
-1957  6 21    11.1    10.1    10.1 1
-1957  6 22    12.4    11.5    11.5 1
-1957  6 23    12.7    11.8    11.8 1
-1957  6 24    12.4    11.5    11.5 1
-1957  6 25    13.7    12.8    12.8 1
-1957  6 26    14.2    13.3    13.3 1
-1957  6 27    14.4    13.5    13.5 1
-1957  6 28    14.1    13.2    13.2 1
-1957  6 29    13.8    12.9    12.9 1
-1957  6 30    15.7    14.8    14.8 1
-1957  7  1    16.0    15.1    15.1 1
-1957  7  2    16.6    15.7    15.7 1
-1957  7  3    17.1    16.2    16.2 1
-1957  7  4    15.5    14.6    14.6 1
-1957  7  5    15.4    14.5    14.5 1
-1957  7  6    15.3    14.4    14.4 1
-1957  7  7    15.9    15.0    15.0 1
-1957  7  8    13.1    12.2    12.2 1
-1957  7  9    15.2    14.3    14.3 1
-1957  7 10    15.8    14.9    14.9 1
-1957  7 11    17.4    16.5    16.5 1
-1957  7 12    16.8    15.9    15.9 1
-1957  7 13    16.6    15.7    15.7 1
-1957  7 14    18.3    17.4    17.4 1
-1957  7 15    19.4    18.5    18.5 1
-1957  7 16    19.7    18.8    18.8 1
-1957  7 17    18.2    17.3    17.3 1
-1957  7 18    21.1    20.2    20.2 1
-1957  7 19    19.2    18.3    18.3 1
-1957  7 20    19.7    18.8    18.8 1
-1957  7 21    20.6    19.7    19.7 1
-1957  7 22    21.5    20.7    20.7 1
-1957  7 23    21.4    20.6    20.6 1
-1957  7 24    19.0    18.2    18.2 1
-1957  7 25    18.8    18.0    18.0 1
-1957  7 26    18.6    17.8    17.8 1
-1957  7 27    17.4    16.6    16.6 1
-1957  7 28    17.7    16.9    16.9 1
-1957  7 29    16.8    16.0    16.0 1
-1957  7 30    18.3    17.5    17.5 1
-1957  7 31    19.3    18.5    18.5 1
-1957  8  1    16.1    15.3    15.3 1
-1957  8  2    15.1    14.3    14.3 1
-1957  8  3    13.5    12.7    12.7 1
-1957  8  4    16.1    15.4    15.4 1
-1957  8  5    18.1    17.4    17.4 1
-1957  8  6    18.7    18.0    18.0 1
-1957  8  7    13.7    13.0    13.0 1
-1957  8  8    13.6    12.9    12.9 1
-1957  8  9    15.1    14.4    14.4 1
-1957  8 10    16.4    15.7    15.7 1
-1957  8 11    18.6    17.9    17.9 1
-1957  8 12    18.3    17.6    17.6 1
-1957  8 13    16.9    16.2    16.2 1
-1957  8 14    15.8    15.1    15.1 1
-1957  8 15    15.7    15.0    15.0 1
-1957  8 16    16.6    16.0    16.0 1
-1957  8 17    17.9    17.3    17.3 1
-1957  8 18    18.2    17.6    17.6 1
-1957  8 19    18.4    17.8    17.8 1
-1957  8 20    17.5    16.9    16.9 1
-1957  8 21    16.1    15.5    15.5 1
-1957  8 22    13.6    13.0    13.0 1
-1957  8 23    13.1    12.5    12.5 1
-1957  8 24    14.5    14.0    14.0 1
-1957  8 25    13.7    13.2    13.2 1
-1957  8 26    13.9    13.4    13.4 1
-1957  8 27    12.7    12.2    12.2 1
-1957  8 28    14.3    13.8    13.8 1
-1957  8 29    14.5    14.0    14.0 1
-1957  8 30    13.3    12.8    12.8 1
-1957  8 31    12.0    11.6    11.6 1
-1957  9  1    12.9    12.5    12.5 1
-1957  9  2    12.4    12.0    12.0 1
-1957  9  3    13.4    13.0    13.0 1
-1957  9  4    14.1    13.7    13.7 1
-1957  9  5    13.3    12.9    12.9 1
-1957  9  6    11.9    11.5    11.5 1
-1957  9  7    13.6    13.3    13.3 1
-1957  9  8    16.2    15.9    15.9 1
-1957  9  9    13.1    12.8    12.8 1
-1957  9 10    13.2    12.9    12.9 1
-1957  9 11    13.3    13.0    13.0 1
-1957  9 12    14.5    14.2    14.2 1
-1957  9 13    11.4    11.1    11.1 1
-1957  9 14    11.0    10.8    10.8 1
-1957  9 15    11.5    11.3    11.3 1
-1957  9 16    12.0    11.8    11.8 1
-1957  9 17    11.4    11.2    11.2 1
-1957  9 18    10.7    10.5    10.5 1
-1957  9 19     7.6     7.4     7.4 1
-1957  9 20     8.1     7.9     7.9 1
-1957  9 21     7.5     7.3     7.3 1
-1957  9 22     8.4     8.2     8.2 1
-1957  9 23     9.3     9.1     9.1 1
-1957  9 24     6.0     5.8     5.8 1
-1957  9 25     5.2     5.0     5.0 1
-1957  9 26     3.1     2.9     2.9 1
-1957  9 27     5.1     4.9     4.9 1
-1957  9 28     6.5     6.3     6.3 1
-1957  9 29     6.0     5.8     5.8 1
-1957  9 30     4.2     4.0     4.0 1
-1957 10  1     4.7     4.5     4.5 1
-1957 10  2     7.1     6.9     6.9 1
-1957 10  3     8.5     8.3     8.3 1
-1957 10  4     6.0     5.8     5.8 1
-1957 10  5     5.9     5.7     5.7 1
-1957 10  6     5.7     5.5     5.5 1
-1957 10  7     7.9     7.7     7.7 1
-1957 10  8     8.1     7.9     7.9 1
-1957 10  9     9.9     9.7     9.7 1
-1957 10 10     9.7     9.5     9.5 1
-1957 10 11     9.5     9.3     9.3 1
-1957 10 12    10.2    10.0    10.0 1
-1957 10 13     9.9     9.7     9.7 1
-1957 10 14     8.3     8.1     8.1 1
-1957 10 15     5.9     5.7     5.7 1
-1957 10 16     8.8     8.6     8.6 1
-1957 10 17     8.3     8.1     8.1 1
-1957 10 18     7.1     6.9     6.9 1
-1957 10 19     8.6     8.4     8.4 1
-1957 10 20     6.6     6.4     6.4 1
-1957 10 21     5.8     5.6     5.6 1
-1957 10 22     7.9     7.7     7.7 1
-1957 10 23     7.3     7.1     7.1 1
-1957 10 24     7.2     7.0     7.0 1
-1957 10 25     5.2     4.9     4.9 1
-1957 10 26     6.5     6.2     6.2 1
-1957 10 27     9.6     9.3     9.3 1
-1957 10 28    10.0     9.7     9.7 1
-1957 10 29     7.4     7.1     7.1 1
-1957 10 30     7.4     7.1     7.1 1
-1957 10 31     4.3     4.0     4.0 1
-1957 11  1     8.0     7.7     7.7 1
-1957 11  2     7.9     7.6     7.6 1
-1957 11  3     6.4     6.1     6.1 1
-1957 11  4     7.5     7.2     7.2 1
-1957 11  5     8.4     8.1     8.1 1
-1957 11  6     9.1     8.8     8.8 1
-1957 11  7     7.7     7.4     7.4 1
-1957 11  8     6.3     5.9     5.9 1
-1957 11  9     2.4     2.0     2.0 1
-1957 11 10     2.0     1.6     1.6 1
-1957 11 11     2.2     1.8     1.8 1
-1957 11 12    -1.1    -1.5    -1.5 1
-1957 11 13     0.6     0.2     0.2 1
-1957 11 14     1.6     1.2     1.2 1
-1957 11 15     0.9     0.5     0.5 1
-1957 11 16     1.5     1.1     1.1 1
-1957 11 17    -0.8    -1.2    -1.2 1
-1957 11 18     0.6     0.2     0.2 1
-1957 11 19     1.7     1.3     1.3 1
-1957 11 20     3.3     2.9     2.9 1
-1957 11 21     2.9     2.5     2.5 1
-1957 11 22     1.2     0.8     0.8 1
-1957 11 23     0.3    -0.1    -0.1 1
-1957 11 24     2.6     2.2     2.2 1
-1957 11 25     0.8     0.4     0.4 1
-1957 11 26     2.8     2.4     2.4 1
-1957 11 27     1.2     0.8     0.8 1
-1957 11 28     0.6     0.2     0.2 1
-1957 11 29    -5.0    -5.4    -5.4 1
-1957 11 30    -6.1    -6.6    -6.6 1
-1957 12  1     1.0     0.5     0.5 1
-1957 12  2     2.1     1.6     1.6 1
-1957 12  3     0.3    -0.2    -0.2 1
-1957 12  4     3.1     2.6     2.6 1
-1957 12  5     2.4     1.9     1.9 1
-1957 12  6     0.7     0.2     0.2 1
-1957 12  7     3.1     2.6     2.6 1
-1957 12  8     0.1    -0.4    -0.4 1
-1957 12  9    -8.0    -8.5    -8.5 1
-1957 12 10    -9.7   -10.2   -10.2 1
-1957 12 11    -9.1    -9.6    -9.6 1
-1957 12 12    -5.5    -6.0    -6.0 1
-1957 12 13    -4.7    -5.2    -5.2 1
-1957 12 14    -7.9    -8.4    -8.4 1
-1957 12 15    -6.2    -6.7    -6.7 1
-1957 12 16     1.5     1.0     1.0 1
-1957 12 17     1.3     0.8     0.8 1
-1957 12 18     0.1    -0.4    -0.4 1
-1957 12 19    -1.7    -2.2    -2.2 1
-1957 12 20     3.0     2.5     2.5 1
-1957 12 21     5.9     5.4     5.4 1
-1957 12 22     5.0     4.5     4.5 1
-1957 12 23     4.0     3.4     3.4 1
-1957 12 24     1.1     0.5     0.5 1
-1957 12 25     1.4     0.8     0.8 1
-1957 12 26     3.3     2.7     2.7 1
-1957 12 27     6.4     5.8     5.8 1
-1957 12 28     4.9     4.3     4.3 1
-1957 12 29    -0.8    -1.4    -1.4 1
-1957 12 30    -3.7    -4.3    -4.3 1
-1957 12 31    -6.4    -7.0    -7.0 1
-1958  1  1    -8.7    -9.3    -9.3 1
-1958  1  2   -10.9   -11.5   -11.5 1
-1958  1  3    -9.6   -10.2   -10.2 1
-1958  1  4    -8.1    -8.7    -8.7 1
-1958  1  5    -3.8    -4.5    -4.5 1
-1958  1  6    -4.5    -5.2    -5.2 1
-1958  1  7    -9.3   -10.0   -10.0 1
-1958  1  8   -12.4   -13.1   -13.1 1
-1958  1  9    -8.9    -9.6    -9.6 1
-1958  1 10    -4.4    -5.1    -5.1 1
-1958  1 11    -1.9    -2.6    -2.6 1
-1958  1 12     1.1     0.4     0.4 1
-1958  1 13     0.6    -0.1    -0.1 1
-1958  1 14     0.4    -0.3    -0.3 1
-1958  1 15     0.7     0.0     0.0 1
-1958  1 16     1.9     1.2     1.2 1
-1958  1 17     1.3     0.6     0.6 1
-1958  1 18    -3.1    -3.8    -3.8 1
-1958  1 19    -3.0    -3.7    -3.7 1
-1958  1 20    -7.9    -8.6    -8.6 1
-1958  1 21    -8.1    -8.8    -8.8 1
-1958  1 22    -5.4    -6.1    -6.1 1
-1958  1 23    -0.1    -0.8    -0.8 1
-1958  1 24    -1.3    -2.0    -2.0 1
-1958  1 25    -3.4    -4.1    -4.1 1
-1958  1 26    -3.7    -4.4    -4.4 1
-1958  1 27    -0.3    -1.0    -1.0 1
-1958  1 28     2.1     1.4     1.4 1
-1958  1 29     1.6     0.9     0.9 1
-1958  1 30     1.1     0.4     0.4 1
-1958  1 31     1.3     0.6     0.6 1
-1958  2  1     2.1     1.4     1.4 1
-1958  2  2     2.7     2.0     2.0 1
-1958  2  3     1.4     0.7     0.7 1
-1958  2  4    -2.0    -2.7    -2.7 1
-1958  2  5    -5.9    -6.6    -6.6 1
-1958  2  6    -9.3   -10.0   -10.0 1
-1958  2  7   -10.7   -11.4   -11.4 1
-1958  2  8   -12.1   -12.8   -12.8 1
-1958  2  9    -8.2    -8.9    -8.9 1
-1958  2 10   -12.7   -13.4   -13.4 1
-1958  2 11    -5.1    -5.8    -5.8 1
-1958  2 12     0.4    -0.4    -0.4 1
-1958  2 13     2.5     1.7     1.7 1
-1958  2 14     2.1     1.3     1.3 1
-1958  2 15     0.9     0.1     0.1 1
-1958  2 16    -0.5    -1.3    -1.3 1
-1958  2 17    -3.0    -3.8    -3.8 1
-1958  2 18    -4.7    -5.5    -5.5 1
-1958  2 19    -8.6    -9.4    -9.4 1
-1958  2 20    -5.3    -6.1    -6.1 1
-1958  2 21    -8.0    -8.8    -8.8 1
-1958  2 22    -8.0    -8.8    -8.8 1
-1958  2 23   -13.7   -14.5   -14.5 1
-1958  2 24   -13.1   -13.9   -13.9 1
-1958  2 25   -12.8   -13.6   -13.6 1
-1958  2 26   -12.3   -13.1   -13.1 1
-1958  2 27   -13.4   -14.2   -14.2 1
-1958  2 28    -8.2    -9.0    -9.0 1
-1958  3  1    -1.2    -2.0    -2.0 1
-1958  3  2    -4.2    -5.0    -5.0 1
-1958  3  3    -7.9    -8.7    -8.7 1
-1958  3  4    -1.4    -2.2    -2.2 1
-1958  3  5     3.5     2.7     2.7 1
-1958  3  6    -1.7    -2.5    -2.5 1
-1958  3  7   -11.9   -12.7   -12.7 1
-1958  3  8   -11.7   -12.5   -12.5 1
-1958  3  9    -9.0    -9.8    -9.8 1
-1958  3 10    -9.4   -10.2   -10.2 1
-1958  3 11    -7.5    -8.3    -8.3 1
-1958  3 12    -6.4    -7.3    -7.3 1
-1958  3 13    -6.7    -7.6    -7.6 1
-1958  3 14    -3.3    -4.2    -4.2 1
-1958  3 15    -1.5    -2.4    -2.4 1
-1958  3 16    -2.6    -3.5    -3.5 1
-1958  3 17    -1.6    -2.5    -2.5 1
-1958  3 18    -2.6    -3.4    -3.4 1
-1958  3 19    -4.0    -4.8    -4.8 1
-1958  3 20    -7.2    -8.0    -8.0 1
-1958  3 21    -7.7    -8.5    -8.5 1
-1958  3 22    -6.9    -7.7    -7.7 1
-1958  3 23    -4.2    -5.0    -5.0 1
-1958  3 24    -2.1    -2.9    -2.9 1
-1958  3 25    -2.5    -3.3    -3.3 1
-1958  3 26    -4.7    -5.5    -5.5 1
-1958  3 27    -4.4    -5.2    -5.2 1
-1958  3 28    -4.4    -5.2    -5.2 1
-1958  3 29    -5.0    -5.8    -5.8 1
-1958  3 30    -2.9    -3.7    -3.7 1
-1958  3 31    -2.1    -2.9    -2.9 1
-1958  4  1    -3.2    -4.0    -4.0 1
-1958  4  2     0.1    -0.7    -0.7 1
-1958  4  3    -0.2    -1.0    -1.0 1
-1958  4  4     0.5    -0.3    -0.3 1
-1958  4  5     1.0     0.2     0.2 1
-1958  4  6     0.7    -0.1    -0.1 1
-1958  4  7     0.8     0.1     0.1 1
-1958  4  8    -0.8    -1.5    -1.5 1
-1958  4  9    -0.5    -1.2    -1.2 1
-1958  4 10     0.8     0.1     0.1 1
-1958  4 11    -0.6    -1.3    -1.3 1
-1958  4 12     2.7     2.0     2.0 1
-1958  4 13     5.2     4.5     4.5 1
-1958  4 14     7.5     6.8     6.8 1
-1958  4 15     4.8     4.1     4.1 1
-1958  4 16     6.2     5.5     5.5 1
-1958  4 17     5.3     4.6     4.6 1
-1958  4 18     6.1     5.3     5.3 1
-1958  4 19     1.9     1.1     1.1 1
-1958  4 20     3.1     2.3     2.3 1
-1958  4 21     2.8     2.0     2.0 1
-1958  4 22     3.5     2.7     2.7 1
-1958  4 23     2.0     1.2     1.2 1
-1958  4 24     2.2     1.3     1.3 1
-1958  4 25     3.6     2.7     2.7 1
-1958  4 26     3.6     2.7     2.7 1
-1958  4 27     4.0     3.1     3.1 1
-1958  4 28     1.4     0.5     0.5 1
-1958  4 29     3.7     2.7     2.7 1
-1958  4 30    10.3     9.3     9.3 1
-1958  5  1     9.0     8.0     8.0 1
-1958  5  2     8.5     7.5     7.5 1
-1958  5  3     3.5     2.5     2.5 1
-1958  5  4     5.4     4.4     4.4 1
-1958  5  5     6.2     5.1     5.1 1
-1958  5  6     6.3     5.2     5.2 1
-1958  5  7     2.1     1.0     1.0 1
-1958  5  8     5.3     4.2     4.2 1
-1958  5  9     9.0     7.9     7.9 1
-1958  5 10    11.3    10.2    10.2 1
-1958  5 11    10.3     9.1     9.1 1
-1958  5 12     7.6     6.4     6.4 1
-1958  5 13     7.5     6.3     6.3 1
-1958  5 14     9.7     8.5     8.5 1
-1958  5 15     6.7     5.5     5.5 1
-1958  5 16     9.2     8.0     8.0 1
-1958  5 17     8.3     7.1     7.1 1
-1958  5 18     7.3     6.1     6.1 1
-1958  5 19    10.0     8.8     8.8 1
-1958  5 20    10.2     9.0     9.0 1
-1958  5 21    12.2    11.0    11.0 1
-1958  5 22    11.5    10.3    10.3 1
-1958  5 23    12.5    11.3    11.3 1
-1958  5 24     9.8     8.6     8.6 1
-1958  5 25    15.3    14.1    14.1 1
-1958  5 26    18.5    17.4    17.4 1
-1958  5 27    17.7    16.6    16.6 1
-1958  5 28    12.3    11.2    11.2 1
-1958  5 29    11.9    10.8    10.8 1
-1958  5 30    13.5    12.4    12.4 1
-1958  5 31    13.1    12.0    12.0 1
-1958  6  1    13.2    12.1    12.1 1
-1958  6  2    13.8    12.7    12.7 1
-1958  6  3    15.5    14.4    14.4 1
-1958  6  4    18.1    17.0    17.0 1
-1958  6  5     9.8     8.7     8.7 1
-1958  6  6     8.5     7.4     7.4 1
-1958  6  7    16.2    15.2    15.2 1
-1958  6  8    16.0    15.0    15.0 1
-1958  6  9    11.4    10.4    10.4 1
-1958  6 10     7.1     6.1     6.1 1
-1958  6 11    10.4     9.4     9.4 1
-1958  6 12    11.2    10.2    10.2 1
-1958  6 13    10.7     9.7     9.7 1
-1958  6 14    11.0    10.0    10.0 1
-1958  6 15    12.4    11.4    11.4 1
-1958  6 16    12.4    11.4    11.4 1
-1958  6 17    15.0    14.0    14.0 1
-1958  6 18    15.3    14.3    14.3 1
-1958  6 19    13.7    12.7    12.7 1
-1958  6 20    11.5    10.5    10.5 1
-1958  6 21    12.0    11.0    11.0 1
-1958  6 22    13.7    12.7    12.7 1
-1958  6 23    14.6    13.6    13.6 1
-1958  6 24    15.2    14.2    14.2 1
-1958  6 25    17.0    16.0    16.0 1
-1958  6 26    16.7    15.7    15.7 1
-1958  6 27    18.0    17.0    17.0 1
-1958  6 28    17.8    16.9    16.9 1
-1958  6 29    16.7    15.8    15.8 1
-1958  6 30    19.8    18.9    18.9 1
-1958  7  1    21.6    20.7    20.7 1
-1958  7  2    21.0    20.1    20.1 1
-1958  7  3    21.4    20.5    20.5 1
-1958  7  4    21.3    20.4    20.4 1
-1958  7  5    17.5    16.6    16.6 1
-1958  7  6    14.0    13.1    13.1 1
-1958  7  7    14.5    13.6    13.6 1
-1958  7  8    16.2    15.3    15.3 1
-1958  7  9    20.6    19.7    19.7 1
-1958  7 10    19.3    18.4    18.4 1
-1958  7 11    17.0    16.1    16.1 1
-1958  7 12    18.2    17.3    17.3 1
-1958  7 13    18.8    17.9    17.9 1
-1958  7 14    18.7    17.8    17.8 1
-1958  7 15    15.3    14.4    14.4 1
-1958  7 16    15.9    15.0    15.0 1
-1958  7 17    14.3    13.4    13.4 1
-1958  7 18    12.6    11.7    11.7 1
-1958  7 19    14.3    13.4    13.4 1
-1958  7 20    13.6    12.7    12.7 1
-1958  7 21    15.0    14.1    14.1 1
-1958  7 22    14.5    13.6    13.6 1
-1958  7 23    15.4    14.6    14.6 1
-1958  7 24    14.7    13.9    13.9 1
-1958  7 25    13.9    13.1    13.1 1
-1958  7 26    14.5    13.7    13.7 1
-1958  7 27    13.8    13.0    13.0 1
-1958  7 28    16.6    15.8    15.8 1
-1958  7 29    14.9    14.1    14.1 1
-1958  7 30    17.3    16.5    16.5 1
-1958  7 31    15.8    15.0    15.0 1
-1958  8  1    16.8    16.0    16.0 1
-1958  8  2    15.0    14.2    14.2 1
-1958  8  3    14.4    13.6    13.6 1
-1958  8  4    15.1    14.3    14.3 1
-1958  8  5    14.0    13.2    13.2 1
-1958  8  6    16.4    15.7    15.7 1
-1958  8  7    14.9    14.2    14.2 1
-1958  8  8    15.5    14.8    14.8 1
-1958  8  9    13.7    13.0    13.0 1
-1958  8 10    15.1    14.4    14.4 1
-1958  8 11    17.5    16.8    16.8 1
-1958  8 12    17.0    16.3    16.3 1
-1958  8 13    15.6    14.9    14.9 1
-1958  8 14    15.6    14.9    14.9 1
-1958  8 15    15.6    14.9    14.9 1
-1958  8 16    15.5    14.8    14.8 1
-1958  8 17    15.0    14.4    14.4 1
-1958  8 18    15.0    14.4    14.4 1
-1958  8 19    15.4    14.8    14.8 1
-1958  8 20    14.1    13.5    13.5 1
-1958  8 21    13.5    12.9    12.9 1
-1958  8 22    13.6    13.0    13.0 1
-1958  8 23    14.0    13.4    13.4 1
-1958  8 24    14.9    14.4    14.4 1
-1958  8 25    14.4    13.9    13.9 1
-1958  8 26    14.9    14.4    14.4 1
-1958  8 27    15.6    15.1    15.1 1
-1958  8 28    15.5    15.0    15.0 1
-1958  8 29    15.2    14.7    14.7 1
-1958  8 30    15.8    15.3    15.3 1
-1958  8 31    16.8    16.4    16.4 1
-1958  9  1    15.0    14.6    14.6 1
-1958  9  2    14.7    14.3    14.3 1
-1958  9  3    15.5    15.1    15.1 1
-1958  9  4    18.7    18.3    18.3 1
-1958  9  5    18.8    18.4    18.4 1
-1958  9  6    17.0    16.6    16.6 1
-1958  9  7    17.5    17.2    17.2 1
-1958  9  8    17.6    17.3    17.3 1
-1958  9  9    13.2    12.9    12.9 1
-1958  9 10    12.4    12.1    12.1 1
-1958  9 11    13.6    13.3    13.3 1
-1958  9 12    10.6    10.3    10.3 1
-1958  9 13    14.1    13.8    13.8 1
-1958  9 14    14.7    14.5    14.5 1
-1958  9 15    12.7    12.5    12.5 1
-1958  9 16    11.5    11.3    11.3 1
-1958  9 17    11.7    11.5    11.5 1
-1958  9 18    12.8    12.6    12.6 1
-1958  9 19    11.2    11.0    11.0 1
-1958  9 20    11.4    11.2    11.2 1
-1958  9 21    13.4    13.2    13.2 1
-1958  9 22    11.5    11.3    11.3 1
-1958  9 23    11.9    11.7    11.7 1
-1958  9 24    11.2    11.0    11.0 1
-1958  9 25    12.3    12.1    12.1 1
-1958  9 26     9.9     9.7     9.7 1
-1958  9 27     8.1     7.9     7.9 1
-1958  9 28     9.3     9.1     9.1 1
-1958  9 29    11.5    11.3    11.3 1
-1958  9 30    12.3    12.1    12.1 1
-1958 10  1    13.7    13.5    13.5 1
-1958 10  2    13.0    12.8    12.8 1
-1958 10  3    14.2    14.0    14.0 1
-1958 10  4    13.5    13.3    13.3 1
-1958 10  5    13.0    12.8    12.8 1
-1958 10  6    13.3    13.1    13.1 1
-1958 10  7    12.5    12.3    12.3 1
-1958 10  8     9.9     9.7     9.7 1
-1958 10  9    12.3    12.1    12.1 1
-1958 10 10     9.9     9.7     9.7 1
-1958 10 11    12.6    12.4    12.4 1
-1958 10 12     9.7     9.5     9.5 1
-1958 10 13     8.9     8.7     8.7 1
-1958 10 14     8.0     7.8     7.8 1
-1958 10 15     8.1     7.9     7.9 1
-1958 10 16     6.8     6.6     6.6 1
-1958 10 17     3.2     3.0     3.0 1
-1958 10 18     5.1     4.9     4.9 1
-1958 10 19     3.7     3.5     3.5 1
-1958 10 20     3.7     3.5     3.5 1
-1958 10 21     3.0     2.8     2.8 1
-1958 10 22     6.8     6.6     6.6 1
-1958 10 23     7.3     7.1     7.1 1
-1958 10 24     8.1     7.8     7.8 1
-1958 10 25     8.6     8.3     8.3 1
-1958 10 26     5.5     5.2     5.2 1
-1958 10 27     8.8     8.5     8.5 1
-1958 10 28     8.7     8.4     8.4 1
-1958 10 29     9.0     8.7     8.7 1
-1958 10 30     8.1     7.8     7.8 1
-1958 10 31     7.0     6.7     6.7 1
-1958 11  1     6.8     6.5     6.5 1
-1958 11  2     7.4     7.1     7.1 1
-1958 11  3     7.2     6.9     6.9 1
-1958 11  4     7.2     6.9     6.9 1
-1958 11  5     7.5     7.2     7.2 1
-1958 11  6     7.5     7.2     7.2 1
-1958 11  7     7.2     6.8     6.8 1
-1958 11  8     7.3     6.9     6.9 1
-1958 11  9     5.9     5.5     5.5 1
-1958 11 10     3.3     2.9     2.9 1
-1958 11 11     2.8     2.4     2.4 1
-1958 11 12     4.4     4.0     4.0 1
-1958 11 13     5.4     5.0     5.0 1
-1958 11 14     5.9     5.5     5.5 1
-1958 11 15     5.8     5.4     5.4 1
-1958 11 16     4.4     4.0     4.0 1
-1958 11 17     4.9     4.5     4.5 1
-1958 11 18     5.3     4.9     4.9 1
-1958 11 19     1.7     1.3     1.3 1
-1958 11 20     5.0     4.6     4.6 1
-1958 11 21     1.9     1.5     1.5 1
-1958 11 22     4.7     4.3     4.3 1
-1958 11 23     5.0     4.6     4.6 1
-1958 11 24     3.1     2.7     2.7 1
-1958 11 25     5.6     5.2     5.2 1
-1958 11 26     2.4     2.0     2.0 1
-1958 11 27     0.9     0.5     0.5 1
-1958 11 28     3.0     2.5     2.5 1
-1958 11 29     3.3     2.8     2.8 1
-1958 11 30     2.0     1.5     1.5 1
-1958 12  1    -4.0    -4.5    -4.5 1
-1958 12  2    -3.3    -3.8    -3.8 1
-1958 12  3    -1.0    -1.5    -1.5 1
-1958 12  4     3.5     3.0     3.0 1
-1958 12  5     0.0    -0.5    -0.5 1
-1958 12  6    -1.3    -1.8    -1.8 1
-1958 12  7    -5.5    -6.0    -6.0 1
-1958 12  8    -0.3    -0.8    -0.8 1
-1958 12  9    -1.0    -1.5    -1.5 1
-1958 12 10    -8.1    -8.6    -8.6 1
-1958 12 11   -10.1   -10.6   -10.6 1
-1958 12 12    -8.9    -9.4    -9.4 1
-1958 12 13    -4.1    -4.6    -4.6 1
-1958 12 14    -2.0    -2.5    -2.5 1
-1958 12 15    -2.3    -2.8    -2.8 1
-1958 12 16    -3.0    -3.5    -3.5 1
-1958 12 17     1.6     1.1     1.1 1
-1958 12 18     2.1     1.6     1.6 1
-1958 12 19    -2.3    -2.8    -2.8 1
-1958 12 20     3.3     2.8     2.8 1
-1958 12 21     3.0     2.4     2.4 1
-1958 12 22     3.0     2.4     2.4 1
-1958 12 23     3.0     2.4     2.4 1
-1958 12 24     1.4     0.8     0.8 1
-1958 12 25     0.6     0.0     0.0 1
-1958 12 26    -0.9    -1.5    -1.5 1
-1958 12 27     0.7     0.1     0.1 1
-1958 12 28     0.0    -0.6    -0.6 1
-1958 12 29     0.0    -0.6    -0.6 1
-1958 12 30     0.2    -0.4    -0.4 1
-1958 12 31     1.7     1.1     1.1 1
-1959  1  1     1.1     0.5     0.5 1
-1959  1  2     1.4     0.8     0.8 1
-1959  1  3     2.2     1.6     1.6 1
-1959  1  4    -1.1    -1.8    -1.8 1
-1959  1  5    -6.0    -6.7    -6.7 1
-1959  1  6    -5.2    -5.9    -5.9 1
-1959  1  7    -5.8    -6.5    -6.5 1
-1959  1  8    -7.1    -7.8    -7.8 1
-1959  1  9    -3.5    -4.2    -4.2 1
-1959  1 10    -1.0    -1.7    -1.7 1
-1959  1 11    -2.6    -3.3    -3.3 1
-1959  1 12    -2.5    -3.2    -3.2 1
-1959  1 13    -5.3    -6.0    -6.0 1
-1959  1 14    -6.8    -7.5    -7.5 1
-1959  1 15   -10.1   -10.8   -10.8 1
-1959  1 16   -12.0   -12.7   -12.7 1
-1959  1 17   -10.6   -11.3   -11.3 1
-1959  1 18    -4.8    -5.5    -5.5 1
-1959  1 19    -9.0    -9.7    -9.7 1
-1959  1 20    -3.5    -4.2    -4.2 1
-1959  1 21     1.2     0.5     0.5 1
-1959  1 22    -0.1    -0.8    -0.8 1
-1959  1 23     2.3     1.6     1.6 1
-1959  1 24    -6.7    -7.4    -7.4 1
-1959  1 25    -8.7    -9.4    -9.4 1
-1959  1 26    -6.0    -6.7    -6.7 1
-1959  1 27    -0.1    -0.8    -0.8 1
-1959  1 28    -2.4    -3.1    -3.1 1
-1959  1 29    -2.5    -3.2    -3.2 1
-1959  1 30    -0.2    -0.9    -0.9 1
-1959  1 31    -0.4    -1.1    -1.1 1
-1959  2  1    -3.0    -3.7    -3.7 1
-1959  2  2    -2.0    -2.7    -2.7 1
-1959  2  3     0.6    -0.2    -0.2 1
-1959  2  4    -0.7    -1.5    -1.5 1
-1959  2  5     0.9     0.1     0.1 1
-1959  2  6    -2.1    -2.9    -2.9 1
-1959  2  7    -6.8    -7.6    -7.6 1
-1959  2  8    -5.7    -6.5    -6.5 1
-1959  2  9    -3.6    -4.4    -4.4 1
-1959  2 10    -5.5    -6.3    -6.3 1
-1959  2 11    -5.8    -6.6    -6.6 1
-1959  2 12    -6.0    -6.8    -6.8 1
-1959  2 13    -4.5    -5.3    -5.3 1
-1959  2 14    -4.8    -5.6    -5.6 1
-1959  2 15     0.4    -0.4    -0.4 1
-1959  2 16    -0.5    -1.3    -1.3 1
-1959  2 17     3.8     3.0     3.0 1
-1959  2 18     2.6     1.8     1.8 1
-1959  2 19     2.9     2.1     2.1 1
-1959  2 20     2.4     1.6     1.6 1
-1959  2 21    -1.9    -2.7    -2.7 1
-1959  2 22    -2.2    -3.0    -3.0 1
-1959  2 23    -2.7    -3.5    -3.5 1
-1959  2 24     2.9     2.1     2.1 1
-1959  2 25     3.0     2.2     2.2 1
-1959  2 26     5.8     5.0     5.0 1
-1959  2 27     5.9     5.1     5.1 1
-1959  2 28     5.2     4.4     4.4 1
-1959  3  1     5.4     4.6     4.6 1
-1959  3  2     3.4     2.6     2.6 1
-1959  3  3     3.2     2.4     2.4 1
-1959  3  4     1.8     1.0     1.0 1
-1959  3  5     3.4     2.6     2.6 1
-1959  3  6     2.7     1.9     1.9 1
-1959  3  7     5.1     4.3     4.3 1
-1959  3  8     0.5    -0.3    -0.3 1
-1959  3  9     0.0    -0.9    -0.9 1
-1959  3 10     2.3     1.4     1.4 1
-1959  3 11     2.5     1.6     1.6 1
-1959  3 12     2.8     1.9     1.9 1
-1959  3 13     1.8     0.9     0.9 1
-1959  3 14    -0.2    -1.1    -1.1 1
-1959  3 15     0.1    -0.8    -0.8 1
-1959  3 16     1.1     0.2     0.2 1
-1959  3 17     2.5     1.6     1.6 1
-1959  3 18     3.2     2.3     2.3 1
-1959  3 19     3.7     2.8     2.8 1
-1959  3 20     3.9     3.1     3.1 1
-1959  3 21     4.9     4.1     4.1 1
-1959  3 22     4.8     4.0     4.0 1
-1959  3 23     5.8     5.0     5.0 1
-1959  3 24     5.7     4.9     4.9 1
-1959  3 25     6.2     5.4     5.4 1
-1959  3 26     5.4     4.6     4.6 1
-1959  3 27     6.1     5.3     5.3 1
-1959  3 28     1.6     0.8     0.8 1
-1959  3 29     0.6    -0.2    -0.2 1
-1959  3 30     0.9     0.1     0.1 1
-1959  3 31     1.5     0.7     0.7 1
-1959  4  1     2.9     2.1     2.1 1
-1959  4  2     6.8     6.0     6.0 1
-1959  4  3     6.8     6.0     6.0 1
-1959  4  4     5.3     4.5     4.5 1
-1959  4  5     3.4     2.6     2.6 1
-1959  4  6     4.6     3.8     3.8 1
-1959  4  7     2.7     1.9     1.9 1
-1959  4  8     3.5     2.7     2.7 1
-1959  4  9     6.2     5.5     5.5 1
-1959  4 10     2.4     1.7     1.7 1
-1959  4 11     1.7     1.0     1.0 1
-1959  4 12     0.0    -0.7    -0.7 1
-1959  4 13     2.6     1.9     1.9 1
-1959  4 14    10.0     9.3     9.3 1
-1959  4 15    11.3    10.6    10.6 1
-1959  4 16    10.6     9.9     9.9 1
-1959  4 17    11.3    10.5    10.5 1
-1959  4 18     4.0     3.2     3.2 1
-1959  4 19     1.2     0.4     0.4 1
-1959  4 20     2.7     1.9     1.9 1
-1959  4 21     6.4     5.6     5.6 1
-1959  4 22     3.5     2.7     2.7 1
-1959  4 23     3.0     2.1     2.1 1
-1959  4 24     6.0     5.1     5.1 1
-1959  4 25     8.0     7.1     7.1 1
-1959  4 26     8.6     7.7     7.7 1
-1959  4 27     9.6     8.7     8.7 1
-1959  4 28     9.2     8.3     8.3 1
-1959  4 29    11.3    10.3    10.3 1
-1959  4 30    10.9     9.9     9.9 1
-1959  5  1    11.4    10.4    10.4 1
-1959  5  2    12.3    11.3    11.3 1
-1959  5  3     9.5     8.5     8.5 1
-1959  5  4     9.9     8.8     8.8 1
-1959  5  5     8.5     7.4     7.4 1
-1959  5  6     8.6     7.5     7.5 1
-1959  5  7     7.4     6.3     6.3 1
-1959  5  8     8.3     7.2     7.2 1
-1959  5  9    10.2     9.1     9.1 1
-1959  5 10    11.8    10.6    10.6 1
-1959  5 11    13.2    12.0    12.0 1
-1959  5 12    14.6    13.4    13.4 1
-1959  5 13    13.3    12.1    12.1 1
-1959  5 14    14.1    12.9    12.9 1
-1959  5 15    15.3    14.0    14.0 1
-1959  5 16    14.3    13.1    13.1 1
-1959  5 17     9.3     8.1     8.1 1
-1959  5 18     8.4     7.2     7.2 1
-1959  5 19     8.4     7.2     7.2 1
-1959  5 20    11.7    10.5    10.5 1
-1959  5 21     6.9     5.7     5.7 1
-1959  5 22     8.7     7.5     7.5 1
-1959  5 23    10.2     9.0     9.0 1
-1959  5 24    10.6     9.4     9.4 1
-1959  5 25    13.2    12.0    12.0 1
-1959  5 26     9.9     8.7     8.7 1
-1959  5 27     8.9     7.7     7.7 1
-1959  5 28     8.9     7.8     7.8 1
-1959  5 29     8.6     7.5     7.5 1
-1959  5 30     9.8     8.7     8.7 1
-1959  5 31    14.0    12.9    12.9 1
-1959  6  1    14.9    13.8    13.8 1
-1959  6  2    11.5    10.4    10.4 1
-1959  6  3    11.0     9.9     9.9 1
-1959  6  4    15.5    14.4    14.4 1
-1959  6  5    16.3    15.2    15.2 1
-1959  6  6    17.5    16.4    16.4 1
-1959  6  7    20.2    19.1    19.1 1
-1959  6  8    18.1    17.0    17.0 1
-1959  6  9    15.0    14.0    14.0 1
-1959  6 10    14.9    13.9    13.9 1
-1959  6 11    15.7    14.7    14.7 1
-1959  6 12    16.7    15.7    15.7 1
-1959  6 13    17.6    16.6    16.6 1
-1959  6 14    14.4    13.4    13.4 1
-1959  6 15    12.4    11.4    11.4 1
-1959  6 16     8.3     7.3     7.3 1
-1959  6 17    12.9    11.9    11.9 1
-1959  6 18    16.6    15.6    15.6 1
-1959  6 19    13.9    12.9    12.9 1
-1959  6 20    13.0    12.0    12.0 1
-1959  6 21    11.8    10.8    10.8 1
-1959  6 22    13.7    12.7    12.7 1
-1959  6 23    14.5    13.5    13.5 1
-1959  6 24    16.2    15.2    15.2 1
-1959  6 25    19.9    18.9    18.9 1
-1959  6 26    22.6    21.6    21.6 1
-1959  6 27    21.0    20.0    20.0 1
-1959  6 28    19.7    18.7    18.7 1
-1959  6 29    12.2    11.2    11.2 1
-1959  6 30    11.8    10.8    10.8 1
-1959  7  1    17.0    16.0    16.0 1
-1959  7  2    14.6    13.6    13.6 1
-1959  7  3    16.3    15.4    15.4 1
-1959  7  4    17.1    16.2    16.2 1
-1959  7  5    20.5    19.6    19.6 1
-1959  7  6    22.2    21.3    21.3 1
-1959  7  7    21.3    20.4    20.4 1
-1959  7  8    20.6    19.7    19.7 1
-1959  7  9    24.4    23.5    23.5 1
-1959  7 10    21.5    20.6    20.6 1
-1959  7 11    17.9    17.0    17.0 1
-1959  7 12    19.3    18.4    18.4 1
-1959  7 13    20.9    20.0    20.0 1
-1959  7 14    16.9    16.0    16.0 1
-1959  7 15    15.3    14.4    14.4 1
-1959  7 16    17.2    16.3    16.3 1
-1959  7 17    18.3    17.4    17.4 1
-1959  7 18    17.8    16.9    16.9 1
-1959  7 19    18.8    17.9    17.9 1
-1959  7 20    20.7    19.8    19.8 1
-1959  7 21    19.7    18.8    18.8 1
-1959  7 22    19.4    18.5    18.5 1
-1959  7 23    19.9    19.0    19.0 1
-1959  7 24    20.1    19.2    19.2 1
-1959  7 25    22.3    21.5    21.5 1
-1959  7 26    22.4    21.6    21.6 1
-1959  7 27    19.2    18.4    18.4 1
-1959  7 28    21.7    20.9    20.9 1
-1959  7 29    20.2    19.4    19.4 1
-1959  7 30    17.1    16.3    16.3 1
-1959  7 31    17.3    16.5    16.5 1
-1959  8  1    18.1    17.3    17.3 1
-1959  8  2    15.9    15.1    15.1 1
-1959  8  3    18.1    17.3    17.3 1
-1959  8  4    17.5    16.7    16.7 1
-1959  8  5    18.6    17.8    17.8 1
-1959  8  6    20.9    20.1    20.1 1
-1959  8  7    20.4    19.7    19.7 1
-1959  8  8    19.3    18.6    18.6 1
-1959  8  9    19.9    19.2    19.2 1
-1959  8 10    17.6    16.9    16.9 1
-1959  8 11    19.1    18.4    18.4 1
-1959  8 12    19.9    19.2    19.2 1
-1959  8 13    20.7    20.0    20.0 1
-1959  8 14    21.4    20.7    20.7 1
-1959  8 15    21.1    20.4    20.4 1
-1959  8 16    20.4    19.7    19.7 1
-1959  8 17    21.2    20.5    20.5 1
-1959  8 18    21.4    20.8    20.8 1
-1959  8 19    21.0    20.4    20.4 1
-1959  8 20    23.6    23.0    23.0 1
-1959  8 21    23.6    23.0    23.0 1
-1959  8 22    22.6    22.0    22.0 1
-1959  8 23    23.7    23.1    23.1 1
-1959  8 24    20.0    19.4    19.4 1
-1959  8 25    19.4    18.9    18.9 1
-1959  8 26    16.8    16.3    16.3 1
-1959  8 27    13.2    12.7    12.7 1
-1959  8 28     9.9     9.4     9.4 1
-1959  8 29     8.4     7.9     7.9 1
-1959  8 30     9.9     9.4     9.4 1
-1959  8 31    10.9    10.4    10.4 1
-1959  9  1    13.0    12.6    12.6 1
-1959  9  2    14.5    14.1    14.1 1
-1959  9  3    14.1    13.7    13.7 1
-1959  9  4    14.6    14.2    14.2 1
-1959  9  5    14.2    13.8    13.8 1
-1959  9  6    15.3    14.9    14.9 1
-1959  9  7    17.2    16.8    16.8 1
-1959  9  8    14.9    14.6    14.6 1
-1959  9  9    15.0    14.7    14.7 1
-1959  9 10    15.8    15.5    15.5 1
-1959  9 11    16.5    16.2    16.2 1
-1959  9 12    16.9    16.6    16.6 1
-1959  9 13    11.8    11.5    11.5 1
-1959  9 14    11.9    11.6    11.6 1
-1959  9 15    12.8    12.6    12.6 1
-1959  9 16     6.9     6.7     6.7 1
-1959  9 17     9.9     9.7     9.7 1
-1959  9 18    10.4    10.2    10.2 1
-1959  9 19    13.5    13.3    13.3 1
-1959  9 20    12.2    12.0    12.0 1
-1959  9 21    12.9    12.7    12.7 1
-1959  9 22    10.5    10.3    10.3 1
-1959  9 23     8.3     8.1     8.1 1
-1959  9 24     8.4     8.2     8.2 1
-1959  9 25     7.4     7.2     7.2 1
-1959  9 26     7.0     6.8     6.8 1
-1959  9 27     6.7     6.5     6.5 1
-1959  9 28     6.4     6.2     6.2 1
-1959  9 29     7.6     7.4     7.4 1
-1959  9 30    12.3    12.1    12.1 1
-1959 10  1    11.4    11.2    11.2 1
-1959 10  2    10.5    10.3    10.3 1
-1959 10  3     9.0     8.8     8.8 1
-1959 10  4     9.4     9.2     9.2 1
-1959 10  5    10.3    10.1    10.1 1
-1959 10  6     9.8     9.6     9.6 1
-1959 10  7     9.2     9.0     9.0 1
-1959 10  8     8.6     8.4     8.4 1
-1959 10  9     8.5     8.3     8.3 1
-1959 10 10     7.0     6.8     6.8 1
-1959 10 11     7.3     7.1     7.1 1
-1959 10 12     6.9     6.7     6.7 1
-1959 10 13     7.3     7.1     7.1 1
-1959 10 14     5.3     5.1     5.1 1
-1959 10 15     7.1     6.9     6.9 1
-1959 10 16     9.7     9.5     9.5 1
-1959 10 17     6.8     6.6     6.6 1
-1959 10 18     7.6     7.4     7.4 1
-1959 10 19    10.3    10.1    10.1 1
-1959 10 20     9.0     8.8     8.8 1
-1959 10 21     8.6     8.4     8.4 1
-1959 10 22     4.5     4.3     4.3 1
-1959 10 23     0.3     0.0     0.0 1
-1959 10 24     2.3     2.0     2.0 1
-1959 10 25     6.9     6.6     6.6 1
-1959 10 26     5.4     5.1     5.1 1
-1959 10 27     8.9     8.6     8.6 1
-1959 10 28    10.4    10.1    10.1 1
-1959 10 29     9.2     8.9     8.9 1
-1959 10 30     9.1     8.8     8.8 1
-1959 10 31     8.9     8.6     8.6 1
-1959 11  1     6.3     6.0     6.0 1
-1959 11  2     6.1     5.8     5.8 1
-1959 11  3     7.0     6.7     6.7 1
-1959 11  4     7.1     6.8     6.8 1
-1959 11  5     3.8     3.5     3.5 1
-1959 11  6     0.3    -0.1    -0.1 1
-1959 11  7     1.7     1.3     1.3 1
-1959 11  8     1.1     0.7     0.7 1
-1959 11  9     3.9     3.5     3.5 1
-1959 11 10     6.7     6.3     6.3 1
-1959 11 11     6.5     6.1     6.1 1
-1959 11 12     6.7     6.3     6.3 1
-1959 11 13     5.9     5.5     5.5 1
-1959 11 14     5.6     5.2     5.2 1
-1959 11 15     5.4     5.0     5.0 1
-1959 11 16     3.0     2.6     2.6 1
-1959 11 17    -2.7    -3.1    -3.1 1
-1959 11 18    -5.3    -5.7    -5.7 1
-1959 11 19     0.8     0.4     0.4 1
-1959 11 20     5.6     5.2     5.2 1
-1959 11 21     6.2     5.8     5.8 1
-1959 11 22     5.5     5.1     5.1 1
-1959 11 23     4.3     3.9     3.9 1
-1959 11 24     4.7     4.3     4.3 1
-1959 11 25     6.4     5.9     5.9 1
-1959 11 26     6.4     5.9     5.9 1
-1959 11 27     5.3     4.8     4.8 1
-1959 11 28     5.2     4.7     4.7 1
-1959 11 29     5.0     4.5     4.5 1
-1959 11 30     5.6     5.1     5.1 1
-1959 12  1     4.6     4.1     4.1 1
-1959 12  2     3.7     3.2     3.2 1
-1959 12  3     1.9     1.4     1.4 1
-1959 12  4     0.5     0.0     0.0 1
-1959 12  5    -3.8    -4.3    -4.3 1
-1959 12  6    -5.2    -5.7    -5.7 1
-1959 12  7    -4.6    -5.1    -5.1 1
-1959 12  8    -4.0    -4.5    -4.5 1
-1959 12  9    -4.7    -5.2    -5.2 1
-1959 12 10    -3.4    -3.9    -3.9 1
-1959 12 11    -1.8    -2.3    -2.3 1
-1959 12 12    -3.0    -3.5    -3.5 1
-1959 12 13    -4.1    -4.6    -4.6 1
-1959 12 14    -5.0    -5.5    -5.5 1
-1959 12 15    -1.0    -1.5    -1.5 1
-1959 12 16     0.0    -0.5    -0.5 1
-1959 12 17     0.4    -0.1    -0.1 1
-1959 12 18     3.0     2.5     2.5 1
-1959 12 19     3.8     3.3     3.3 1
-1959 12 20     3.4     2.8     2.8 1
-1959 12 21     5.1     4.5     4.5 1
-1959 12 22     2.9     2.3     2.3 1
-1959 12 23     2.3     1.7     1.7 1
-1959 12 24     3.8     3.2     3.2 1
-1959 12 25     2.5     1.9     1.9 1
-1959 12 26     1.5     0.9     0.9 1
-1959 12 27     3.2     2.6     2.6 1
-1959 12 28     3.3     2.7     2.7 1
-1959 12 29     3.0     2.4     2.4 1
-1959 12 30     3.0     2.4     2.4 1
-1959 12 31     1.7     1.1     1.1 1
-1960  1  1     4.2     3.6     3.6 1
-1960  1  2     4.0     3.4     3.4 1
-1960  1  3     2.4     1.7     1.7 1
-1960  1  4     1.2     0.5     0.5 1
-1960  1  5     3.3     2.6     2.6 1
-1960  1  6     1.2     0.5     0.5 1
-1960  1  7    -0.8    -1.5    -1.5 1
-1960  1  8    -6.6    -7.3    -7.3 1
-1960  1  9    -5.9    -6.6    -6.6 1
-1960  1 10    -5.6    -6.3    -6.3 1
-1960  1 11    -9.8   -10.5   -10.5 1
-1960  1 12   -11.1   -11.8   -11.8 1
-1960  1 13    -8.6    -9.3    -9.3 1
-1960  1 14    -8.4    -9.1    -9.1 1
-1960  1 15    -7.3    -8.0    -8.0 1
-1960  1 16    -8.9    -9.6    -9.6 1
-1960  1 17    -8.8    -9.5    -9.5 1
-1960  1 18    -4.7    -5.4    -5.4 1
-1960  1 19    -7.2    -7.9    -7.9 1
-1960  1 20    -7.4    -8.1    -8.1 1
-1960  1 21    -8.2    -8.9    -8.9 1
-1960  1 22    -5.6    -6.3    -6.3 1
-1960  1 23     2.0     1.3     1.3 1
-1960  1 24     2.5     1.8     1.8 1
-1960  1 25     2.3     1.6     1.6 1
-1960  1 26     2.7     2.0     2.0 1
-1960  1 27    -1.1    -1.9    -1.9 1
-1960  1 28    -2.5    -3.3    -3.3 1
-1960  1 29    -5.6    -6.4    -6.4 1
-1960  1 30   -11.6   -12.4   -12.4 1
-1960  1 31   -11.0   -11.8   -11.8 1
-1960  2  1    -8.8    -9.6    -9.6 1
-1960  2  2    -8.4    -9.2    -9.2 1
-1960  2  3    -4.8    -5.6    -5.6 1
-1960  2  4    -1.9    -2.7    -2.7 1
-1960  2  5    -2.0    -2.8    -2.8 1
-1960  2  6    -5.6    -6.4    -6.4 1
-1960  2  7    -2.6    -3.4    -3.4 1
-1960  2  8    -0.2    -1.0    -1.0 1
-1960  2  9    -0.3    -1.1    -1.1 1
-1960  2 10    -0.6    -1.4    -1.4 1
-1960  2 11    -5.5    -6.3    -6.3 1
-1960  2 12    -7.0    -7.8    -7.8 1
-1960  2 13    -8.6    -9.4    -9.4 1
-1960  2 14   -10.2   -11.0   -11.0 1
-1960  2 15    -2.6    -3.4    -3.4 1
-1960  2 16    -0.6    -1.4    -1.4 1
-1960  2 17    -3.0    -3.8    -3.8 1
-1960  2 18    -5.7    -6.5    -6.5 1
-1960  2 19    -5.8    -6.6    -6.6 1
-1960  2 20    -1.1    -1.9    -1.9 1
-1960  2 21     1.4     0.6     0.6 1
-1960  2 22    -3.5    -4.3    -4.3 1
-1960  2 23    -7.6    -8.4    -8.4 1
-1960  2 24    -5.7    -6.5    -6.5 1
-1960  2 25    -4.7    -5.5    -5.5 1
-1960  2 26    -6.5    -7.3    -7.3 1
-1960  2 27    -2.4    -3.2    -3.2 1
-1960  2 28    -3.6    -4.4    -4.4 1
-1960  2 29    -8.7    -9.5    -9.5 1
-1960  3  1    -6.1    -6.9    -6.9 1
-1960  3  2    -0.8    -1.6    -1.6 1
-1960  3  3     0.9     0.1     0.1 1
-1960  3  4     0.3    -0.5    -0.5 1
-1960  3  5     0.0    -0.8    -0.8 1
-1960  3  6    -2.7    -3.6    -3.6 1
-1960  3  7    -2.7    -3.6    -3.6 1
-1960  3  8    -4.2    -5.1    -5.1 1
-1960  3  9    -3.7    -4.6    -4.6 1
-1960  3 10    -6.7    -7.6    -7.6 1
-1960  3 11    -4.5    -5.4    -5.4 1
-1960  3 12    -1.3    -2.2    -2.2 1
-1960  3 13     0.9     0.0     0.0 1
-1960  3 14    -0.2    -1.1    -1.1 1
-1960  3 15    -1.5    -2.4    -2.4 1
-1960  3 16    -2.6    -3.5    -3.5 1
-1960  3 17    -4.6    -5.5    -5.5 1
-1960  3 18    -1.5    -2.4    -2.4 1
-1960  3 19    -0.6    -1.5    -1.5 1
-1960  3 20     1.0     0.1     0.1 1
-1960  3 21     1.4     0.5     0.5 1
-1960  3 22     3.2     2.3     2.3 1
-1960  3 23     3.6     2.8     2.8 1
-1960  3 24     2.8     2.0     2.0 1
-1960  3 25     2.8     2.0     2.0 1
-1960  3 26     2.1     1.3     1.3 1
-1960  3 27     1.6     0.8     0.8 1
-1960  3 28     2.0     1.2     1.2 1
-1960  3 29     0.6    -0.2    -0.2 1
-1960  3 30     1.0     0.2     0.2 1
-1960  3 31    -0.9    -1.7    -1.7 1
-1960  4  1     1.6     0.8     0.8 1
-1960  4  2     2.2     1.4     1.4 1
-1960  4  3    -0.4    -1.2    -1.2 1
-1960  4  4    -0.8    -1.6    -1.6 1
-1960  4  5     0.2    -0.6    -0.6 1
-1960  4  6     2.2     1.4     1.4 1
-1960  4  7     3.8     3.0     3.0 1
-1960  4  8     3.5     2.7     2.7 1
-1960  4  9     3.5     2.7     2.7 1
-1960  4 10     3.0     2.2     2.2 1
-1960  4 11     1.8     1.1     1.1 1
-1960  4 12     3.6     2.9     2.9 1
-1960  4 13     4.7     4.0     4.0 1
-1960  4 14     8.8     8.1     8.1 1
-1960  4 15     6.2     5.5     5.5 1
-1960  4 16     6.8     6.1     6.1 1
-1960  4 17     5.9     5.1     5.1 1
-1960  4 18     5.9     5.1     5.1 1
-1960  4 19     8.2     7.4     7.4 1
-1960  4 20     8.3     7.5     7.5 1
-1960  4 21     6.3     5.5     5.5 1
-1960  4 22     9.8     8.9     8.9 1
-1960  4 23     4.9     4.0     4.0 1
-1960  4 24     3.7     2.8     2.8 1
-1960  4 25     4.7     3.8     3.8 1
-1960  4 26     2.2     1.3     1.3 1
-1960  4 27     1.2     0.3     0.3 1
-1960  4 28     3.0     2.0     2.0 1
-1960  4 29     5.3     4.3     4.3 1
-1960  4 30     7.1     6.1     6.1 1
-1960  5  1     5.5     4.5     4.5 1
-1960  5  2     3.8     2.8     2.8 1
-1960  5  3     3.8     2.7     2.7 1
-1960  5  4     8.3     7.2     7.2 1
-1960  5  5     8.4     7.3     7.3 1
-1960  5  6     8.7     7.6     7.6 1
-1960  5  7     8.2     7.1     7.1 1
-1960  5  8     9.5     8.4     8.4 1
-1960  5  9     9.8     8.6     8.6 1
-1960  5 10    11.7    10.5    10.5 1
-1960  5 11    13.0    11.8    11.8 1
-1960  5 12    14.7    13.5    13.5 1
-1960  5 13    14.3    13.1    13.1 1
-1960  5 14    14.1    12.8    12.8 1
-1960  5 15    16.4    15.1    15.1 1
-1960  5 16    17.8    16.5    16.5 1
-1960  5 17    15.7    14.4    14.4 1
-1960  5 18    16.0    14.8    14.8 1
-1960  5 19    14.9    13.7    13.7 1
-1960  5 20    11.3    10.1    10.1 1
-1960  5 21     7.8     6.6     6.6 1
-1960  5 22     8.3     7.1     7.1 1
-1960  5 23    11.6    10.4    10.4 1
-1960  5 24    13.2    12.0    12.0 1
-1960  5 25    11.4    10.2    10.2 1
-1960  5 26    11.4    10.2    10.2 1
-1960  5 27    12.4    11.2    11.2 1
-1960  5 28     9.5     8.3     8.3 1
-1960  5 29    10.2     9.1     9.1 1
-1960  5 30    12.0    10.9    10.9 1
-1960  5 31    16.6    15.5    15.5 1
-1960  6  1    16.5    15.4    15.4 1
-1960  6  2    16.5    15.4    15.4 1
-1960  6  3    18.4    17.3    17.3 1
-1960  6  4    20.4    19.3    19.3 1
-1960  6  5    19.4    18.3    18.3 1
-1960  6  6    19.9    18.8    18.8 1
-1960  6  7    20.4    19.3    19.3 1
-1960  6  8    17.7    16.6    16.6 1
-1960  6  9    16.6    15.5    15.5 1
-1960  6 10    16.9    15.9    15.9 1
-1960  6 11    16.3    15.3    15.3 1
-1960  6 12    15.5    14.5    14.5 1
-1960  6 13    16.1    15.1    15.1 1
-1960  6 14    16.5    15.5    15.5 1
-1960  6 15    15.9    14.9    14.9 1
-1960  6 16    15.6    14.6    14.6 1
-1960  6 17    16.4    15.4    15.4 1
-1960  6 18    17.9    16.9    16.9 1
-1960  6 19    15.0    14.0    14.0 1
-1960  6 20    13.1    12.1    12.1 1
-1960  6 21    15.3    14.3    14.3 1
-1960  6 22    16.4    15.4    15.4 1
-1960  6 23    18.9    17.9    17.9 1
-1960  6 24    19.9    18.9    18.9 1
-1960  6 25    20.9    19.9    19.9 1
-1960  6 26    17.2    16.2    16.2 1
-1960  6 27    14.5    13.5    13.5 1
-1960  6 28    15.2    14.2    14.2 1
-1960  6 29    14.3    13.3    13.3 1
-1960  6 30    13.0    12.0    12.0 1
-1960  7  1    14.1    13.1    13.1 1
-1960  7  2    15.1    14.1    14.1 1
-1960  7  3    12.9    11.9    11.9 1
-1960  7  4    14.3    13.3    13.3 1
-1960  7  5    15.0    14.0    14.0 1
-1960  7  6    14.8    13.8    13.8 1
-1960  7  7    15.1    14.1    14.1 1
-1960  7  8    16.2    15.2    15.2 1
-1960  7  9    16.4    15.5    15.5 1
-1960  7 10    14.6    13.7    13.7 1
-1960  7 11    15.9    15.0    15.0 1
-1960  7 12    17.6    16.7    16.7 1
-1960  7 13    16.6    15.7    15.7 1
-1960  7 14    16.7    15.8    15.8 1
-1960  7 15    17.4    16.5    16.5 1
-1960  7 16    19.4    18.5    18.5 1
-1960  7 17    18.4    17.5    17.5 1
-1960  7 18    15.6    14.7    14.7 1
-1960  7 19    17.0    16.1    16.1 1
-1960  7 20    16.4    15.5    15.5 1
-1960  7 21    15.4    14.5    14.5 1
-1960  7 22    15.0    14.1    14.1 1
-1960  7 23    14.8    13.9    13.9 1
-1960  7 24    14.2    13.3    13.3 1
-1960  7 25    16.6    15.7    15.7 1
-1960  7 26    17.6    16.7    16.7 1
-1960  7 27    16.1    15.3    15.3 1
-1960  7 28    17.7    16.9    16.9 1
-1960  7 29    18.4    17.6    17.6 1
-1960  7 30    19.1    18.3    18.3 1
-1960  7 31    19.9    19.1    19.1 1
-1960  8  1    19.9    19.1    19.1 1
-1960  8  2    20.5    19.7    19.7 1
-1960  8  3    17.7    16.9    16.9 1
-1960  8  4    14.8    14.0    14.0 1
-1960  8  5    14.6    13.8    13.8 1
-1960  8  6    15.7    14.9    14.9 1
-1960  8  7    16.4    15.6    15.6 1
-1960  8  8    15.7    14.9    14.9 1
-1960  8  9    16.8    16.1    16.1 1
-1960  8 10    17.5    16.8    16.8 1
-1960  8 11    14.4    13.7    13.7 1
-1960  8 12    14.7    14.0    14.0 1
-1960  8 13    17.9    17.2    17.2 1
-1960  8 14    15.3    14.6    14.6 1
-1960  8 15    14.9    14.2    14.2 1
-1960  8 16    15.0    14.3    14.3 1
-1960  8 17    14.5    13.8    13.8 1
-1960  8 18    14.4    13.7    13.7 1
-1960  8 19    12.9    12.3    12.3 1
-1960  8 20    13.4    12.8    12.8 1
-1960  8 21    14.8    14.2    14.2 1
-1960  8 22    15.2    14.6    14.6 1
-1960  8 23    14.8    14.2    14.2 1
-1960  8 24    15.6    15.0    15.0 1
-1960  8 25    15.4    14.8    14.8 1
-1960  8 26    16.0    15.5    15.5 1
-1960  8 27    17.2    16.7    16.7 1
-1960  8 28    16.2    15.7    15.7 1
-1960  8 29    14.6    14.1    14.1 1
-1960  8 30    11.0    10.5    10.5 1
-1960  8 31     9.2     8.7     8.7 1
-1960  9  1    12.0    11.5    11.5 1
-1960  9  2    12.5    12.1    12.1 1
-1960  9  3    12.2    11.8    11.8 1
-1960  9  4    12.7    12.3    12.3 1
-1960  9  5    11.7    11.3    11.3 1
-1960  9  6     9.9     9.5     9.5 1
-1960  9  7     8.9     8.5     8.5 1
-1960  9  8    10.5    10.1    10.1 1
-1960  9  9    11.8    11.5    11.5 1
-1960  9 10    14.2    13.9    13.9 1
-1960  9 11    14.2    13.9    13.9 1
-1960  9 12    14.4    14.1    14.1 1
-1960  9 13    14.9    14.6    14.6 1
-1960  9 14    15.3    15.0    15.0 1
-1960  9 15    13.7    13.4    13.4 1
-1960  9 16    14.1    13.9    13.9 1
-1960  9 17    14.6    14.4    14.4 1
-1960  9 18    13.9    13.7    13.7 1
-1960  9 19    14.3    14.1    14.1 1
-1960  9 20    14.3    14.1    14.1 1
-1960  9 21    14.3    14.1    14.1 1
-1960  9 22    14.5    14.3    14.3 1
-1960  9 23    14.0    13.8    13.8 1
-1960  9 24    13.3    13.1    13.1 1
-1960  9 25    11.9    11.7    11.7 1
-1960  9 26     8.7     8.5     8.5 1
-1960  9 27     7.9     7.7     7.7 1
-1960  9 28     6.2     6.0     6.0 1
-1960  9 29     6.1     5.9     5.9 1
-1960  9 30     5.9     5.7     5.7 1
-1960 10  1     6.5     6.3     6.3 1
-1960 10  2     7.2     7.0     7.0 1
-1960 10  3     7.8     7.6     7.6 1
-1960 10  4    10.5    10.3    10.3 1
-1960 10  5     9.8     9.6     9.6 1
-1960 10  6    11.7    11.5    11.5 1
-1960 10  7     8.4     8.2     8.2 1
-1960 10  8     9.1     8.9     8.9 1
-1960 10  9    11.0    10.8    10.8 1
-1960 10 10    11.5    11.3    11.3 1
-1960 10 11    10.9    10.7    10.7 1
-1960 10 12     9.1     8.9     8.9 1
-1960 10 13    10.1     9.9     9.9 1
-1960 10 14     6.0     5.8     5.8 1
-1960 10 15     5.1     4.9     4.9 1
-1960 10 16     4.4     4.2     4.2 1
-1960 10 17     4.6     4.4     4.4 1
-1960 10 18     6.3     6.1     6.1 1
-1960 10 19     5.3     5.1     5.1 1
-1960 10 20     6.8     6.6     6.6 1
-1960 10 21     4.8     4.6     4.6 1
-1960 10 22     3.4     3.1     3.1 1
-1960 10 23     3.3     3.0     3.0 1
-1960 10 24     4.4     4.1     4.1 1
-1960 10 25     3.8     3.5     3.5 1
-1960 10 26     4.2     3.9     3.9 1
-1960 10 27     2.9     2.6     2.6 1
-1960 10 28     2.6     2.3     2.3 1
-1960 10 29     3.1     2.8     2.8 1
-1960 10 30     2.0     1.7     1.7 1
-1960 10 31     0.4     0.1     0.1 1
-1960 11  1     0.6     0.3     0.3 1
-1960 11  2     4.0     3.7     3.7 1
-1960 11  3     7.0     6.7     6.7 1
-1960 11  4     7.6     7.3     7.3 1
-1960 11  5     8.2     7.8     7.8 1
-1960 11  6     5.7     5.3     5.3 1
-1960 11  7     2.4     2.0     2.0 1
-1960 11  8     3.3     2.9     2.9 1
-1960 11  9     2.7     2.3     2.3 1
-1960 11 10     1.4     1.0     1.0 1
-1960 11 11     3.5     3.1     3.1 1
-1960 11 12     4.9     4.5     4.5 1
-1960 11 13     3.8     3.4     3.4 1
-1960 11 14     4.3     3.9     3.9 1
-1960 11 15     3.5     3.1     3.1 1
-1960 11 16     6.0     5.6     5.6 1
-1960 11 17     5.4     5.0     5.0 1
-1960 11 18     3.8     3.4     3.4 1
-1960 11 19     0.4     0.0     0.0 1
-1960 11 20    -0.7    -1.1    -1.1 1
-1960 11 21    -1.9    -2.3    -2.3 1
-1960 11 22    -1.4    -1.8    -1.8 1
-1960 11 23     2.7     2.2     2.2 1
-1960 11 24     5.4     4.9     4.9 1
-1960 11 25     6.2     5.7     5.7 1
-1960 11 26     6.3     5.8     5.8 1
-1960 11 27     5.0     4.5     4.5 1
-1960 11 28     3.1     2.6     2.6 1
-1960 11 29     1.8     1.3     1.3 1
-1960 11 30     0.6     0.1     0.1 1
-1960 12  1     6.4     5.9     5.9 1
-1960 12  2     6.3     5.8     5.8 1
-1960 12  3     5.9     5.4     5.4 1
-1960 12  4     4.6     4.1     4.1 1
-1960 12  5     3.9     3.4     3.4 1
-1960 12  6     0.6     0.1     0.1 1
-1960 12  7    -1.1    -1.6    -1.6 1
-1960 12  8    -2.1    -2.6    -2.6 1
-1960 12  9    -3.6    -4.1    -4.1 1
-1960 12 10    -4.5    -5.0    -5.0 1
-1960 12 11    -1.2    -1.7    -1.7 1
-1960 12 12     2.3     1.8     1.8 1
-1960 12 13    -3.0    -3.5    -3.5 1
-1960 12 14    -1.3    -1.8    -1.8 1
-1960 12 15     2.2     1.7     1.7 1
-1960 12 16     2.0     1.5     1.5 1
-1960 12 17     3.6     3.1     3.1 1
-1960 12 18     4.4     3.9     3.9 1
-1960 12 19     2.6     2.0     2.0 1
-1960 12 20     3.2     2.6     2.6 1
-1960 12 21     0.9     0.3     0.3 1
-1960 12 22     1.1     0.5     0.5 1
-1960 12 23     0.4    -0.2    -0.2 1
-1960 12 24     0.8     0.2     0.2 1
-1960 12 25     3.6     3.0     3.0 1
-1960 12 26     3.2     2.6     2.6 1
-1960 12 27     4.1     3.5     3.5 1
-1960 12 28     2.8     2.2     2.2 1
-1960 12 29     2.4     1.8     1.8 1
-1960 12 30     1.5     0.9     0.9 1
-1960 12 31     0.6     0.0     0.0 1
-1961  1  1     0.6     0.0     0.0 1
-1961  1  2     1.0     0.3     0.3 1
-1961  1  3     1.5     0.8     0.8 1
-1961  1  4     2.0     1.3     1.3 1
-1961  1  5     0.7     0.0     0.0 1
-1961  1  6     0.8     0.1     0.1 1
-1961  1  7     0.7     0.0     0.0 1
-1961  1  8    -5.0    -5.7    -5.7 1
-1961  1  9    -6.5    -7.2    -7.2 1
-1961  1 10     0.4    -0.3    -0.3 1
-1961  1 11    -2.8    -3.5    -3.5 1
-1961  1 12    -5.7    -6.4    -6.4 1
-1961  1 13     0.2    -0.5    -0.5 1
-1961  1 14    -1.0    -1.7    -1.7 1
-1961  1 15     2.8     2.1     2.1 1
-1961  1 16    -1.2    -1.9    -1.9 1
-1961  1 17    -1.3    -2.0    -2.0 1
-1961  1 18    -1.2    -1.9    -1.9 1
-1961  1 19    -4.6    -5.3    -5.3 1
-1961  1 20    -4.2    -4.9    -4.9 1
-1961  1 21    -7.1    -7.9    -7.9 1
-1961  1 22    -4.5    -5.3    -5.3 1
-1961  1 23    -5.5    -6.3    -6.3 1
-1961  1 24    -6.5    -7.3    -7.3 1
-1961  1 25   -10.5   -11.3   -11.3 1
-1961  1 26    -8.7    -9.5    -9.5 1
-1961  1 27    -4.9    -5.7    -5.7 1
-1961  1 28     0.6    -0.2    -0.2 1
-1961  1 29     1.8     1.0     1.0 1
-1961  1 30     3.7     2.9     2.9 1
-1961  1 31     2.2     1.4     1.4 1
-1961  2  1     2.6     1.8     1.8 1
-1961  2  2     1.0     0.2     0.2 1
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-1961  2  4    -4.5    -5.3    -5.3 1
-1961  2  5    -8.1    -8.9    -8.9 1
-1961  2  6    -2.5    -3.3    -3.3 1
-1961  2  7     3.2     2.4     2.4 1
-1961  2  8     0.2    -0.6    -0.6 1
-1961  2  9    -3.0    -3.8    -3.8 1
-1961  2 10    -0.6    -1.4    -1.4 1
-1961  2 11     3.2     2.4     2.4 1
-1961  2 12     0.9     0.1     0.1 1
-1961  2 13    -0.7    -1.5    -1.5 1
-1961  2 14     4.4     3.6     3.6 1
-1961  2 15     4.2     3.4     3.4 1
-1961  2 16     3.1     2.3     2.3 1
-1961  2 17     4.1     3.3     3.3 1
-1961  2 18     3.6     2.8     2.8 1
-1961  2 19     3.0     2.2     2.2 1
-1961  2 20     3.3     2.5     2.5 1
-1961  2 21     4.6     3.8     3.8 1
-1961  2 22     0.7    -0.1    -0.1 1
-1961  2 23    -1.0    -1.8    -1.8 1
-1961  2 24    -0.5    -1.3    -1.3 1
-1961  2 25     1.4     0.6     0.6 1
-1961  2 26     1.7     0.9     0.9 1
-1961  2 27     5.2     4.4     4.4 1
-1961  2 28     4.0     3.2     3.2 1
-1961  3  1     3.9     3.1     3.1 1
-1961  3  2     4.1     3.3     3.3 1
-1961  3  3     4.3     3.4     3.4 1
-1961  3  4     5.4     4.5     4.5 1
-1961  3  5     5.5     4.6     4.6 1
-1961  3  6     6.8     5.9     5.9 1
-1961  3  7     7.2     6.3     6.3 1
-1961  3  8     5.7     4.8     4.8 1
-1961  3  9     8.6     7.7     7.7 1
-1961  3 10     7.5     6.6     6.6 1
-1961  3 11     7.2     6.3     6.3 1
-1961  3 12     5.1     4.2     4.2 1
-1961  3 13     2.6     1.7     1.7 1
-1961  3 14     2.9     2.0     2.0 1
-1961  3 15     4.4     3.5     3.5 1
-1961  3 16     4.7     3.8     3.8 1
-1961  3 17     7.5     6.6     6.6 1
-1961  3 18     2.7     1.8     1.8 1
-1961  3 19    -1.5    -2.4    -2.4 1
-1961  3 20    -0.5    -1.4    -1.4 1
-1961  3 21    -1.5    -2.4    -2.4 1
-1961  3 22     0.2    -0.7    -0.7 1
-1961  3 23     6.3     5.4     5.4 1
-1961  3 24     3.9     3.0     3.0 1
-1961  3 25     4.0     3.2     3.2 1
-1961  3 26     5.2     4.4     4.4 1
-1961  3 27     3.4     2.6     2.6 1
-1961  3 28     3.1     2.3     2.3 1
-1961  3 29     1.6     0.8     0.8 1
-1961  3 30     0.2    -0.6    -0.6 1
-1961  3 31    -0.3    -1.1    -1.1 1
-1961  4  1     1.2     0.4     0.4 1
-1961  4  2     1.1     0.3     0.3 1
-1961  4  3     1.8     1.0     1.0 1
-1961  4  4     1.2     0.4     0.4 1
-1961  4  5     1.9     1.1     1.1 1
-1961  4  6     2.4     1.6     1.6 1
-1961  4  7     3.4     2.6     2.6 1
-1961  4  8     2.9     2.1     2.1 1
-1961  4  9     2.1     1.3     1.3 1
-1961  4 10     3.4     2.6     2.6 1
-1961  4 11     2.9     2.1     2.1 1
-1961  4 12     3.8     3.0     3.0 1
-1961  4 13     4.6     3.8     3.8 1
-1961  4 14     9.9     9.2     9.2 1
-1961  4 15    10.1     9.4     9.4 1
-1961  4 16     8.5     7.7     7.7 1
-1961  4 17     8.2     7.4     7.4 1
-1961  4 18     9.9     9.1     9.1 1
-1961  4 19     6.3     5.5     5.5 1
-1961  4 20     4.0     3.2     3.2 1
-1961  4 21     5.8     5.0     5.0 1
-1961  4 22     6.9     6.0     6.0 1
-1961  4 23     7.9     7.0     7.0 1
-1961  4 24    10.5     9.6     9.6 1
-1961  4 25    13.0    12.1    12.1 1
-1961  4 26    13.2    12.3    12.3 1
-1961  4 27    11.3    10.3    10.3 1
-1961  4 28     5.1     4.1     4.1 1
-1961  4 29     6.4     5.4     5.4 1
-1961  4 30     6.9     5.9     5.9 1
-1961  5  1     5.2     4.2     4.2 1
-1961  5  2     7.3     6.3     6.3 1
-1961  5  3     9.2     8.1     8.1 1
-1961  5  4    10.9     9.8     9.8 1
-1961  5  5    11.0     9.9     9.9 1
-1961  5  6     9.7     8.6     8.6 1
-1961  5  7    11.7    10.6    10.6 1
-1961  5  8     9.5     8.3     8.3 1
-1961  5  9     5.4     4.2     4.2 1
-1961  5 10     5.4     4.2     4.2 1
-1961  5 11     5.5     4.3     4.3 1
-1961  5 12     8.3     7.1     7.1 1
-1961  5 13    10.5     9.3     9.3 1
-1961  5 14     7.1     5.8     5.8 1
-1961  5 15     8.3     7.0     7.0 1
-1961  5 16     8.5     7.2     7.2 1
-1961  5 17     9.8     8.5     8.5 1
-1961  5 18    11.1     9.8     9.8 1
-1961  5 19    10.6     9.3     9.3 1
-1961  5 20     7.0     5.8     5.8 1
-1961  5 21     9.9     8.7     8.7 1
-1961  5 22    10.1     8.9     8.9 1
-1961  5 23    11.5    10.3    10.3 1
-1961  5 24    13.5    12.3    12.3 1
-1961  5 25    12.9    11.7    11.7 1
-1961  5 26    12.6    11.4    11.4 1
-1961  5 27     9.6     8.4     8.4 1
-1961  5 28    10.2     9.0     9.0 1
-1961  5 29     9.6     8.4     8.4 1
-1961  5 30    14.9    13.7    13.7 1
-1961  5 31    15.5    14.4    14.4 1
-1961  6  1    16.1    15.0    15.0 1
-1961  6  2    17.3    16.2    16.2 1
-1961  6  3    18.8    17.7    17.7 1
-1961  6  4    20.1    19.0    19.0 1
-1961  6  5    21.0    19.9    19.9 1
-1961  6  6    21.5    20.4    20.4 1
-1961  6  7    21.4    20.3    20.3 1
-1961  6  8    20.1    19.0    19.0 1
-1961  6  9    20.4    19.3    19.3 1
-1961  6 10    18.4    17.3    17.3 1
-1961  6 11    14.8    13.7    13.7 1
-1961  6 12    18.0    17.0    17.0 1
-1961  6 13    18.1    17.1    17.1 1
-1961  6 14    16.1    15.1    15.1 1
-1961  6 15    13.1    12.1    12.1 1
-1961  6 16    10.7     9.7     9.7 1
-1961  6 17    15.1    14.1    14.1 1
-1961  6 18    16.6    15.6    15.6 1
-1961  6 19    14.8    13.8    13.8 1
-1961  6 20    15.0    14.0    14.0 1
-1961  6 21    14.1    13.1    13.1 1
-1961  6 22    14.2    13.2    13.2 1
-1961  6 23    14.8    13.8    13.8 1
-1961  6 24    14.6    13.6    13.6 1
-1961  6 25    14.6    13.6    13.6 1
-1961  6 26    16.3    15.3    15.3 1
-1961  6 27    14.6    13.6    13.6 1
-1961  6 28    14.4    13.4    13.4 1
-1961  6 29    16.7    15.7    15.7 1
-1961  6 30    17.2    16.2    16.2 1
-1961  7  1    19.3    18.3    18.3 1
-1961  7  2    20.9    19.9    19.9 1
-1961  7  3    18.6    17.6    17.6 1
-1961  7  4    13.8    12.8    12.8 1
-1961  7  5    13.3    12.3    12.3 1
-1961  7  6    12.4    11.4    11.4 1
-1961  7  7    13.6    12.6    12.6 1
-1961  7  8    15.1    14.1    14.1 1
-1961  7  9    14.7    13.7    13.7 1
-1961  7 10    14.6    13.6    13.6 1
-1961  7 11    14.7    13.7    13.7 1
-1961  7 12    15.3    14.3    14.3 1
-1961  7 13    15.5    14.5    14.5 1
-1961  7 14    16.4    15.5    15.5 1
-1961  7 15    17.2    16.3    16.3 1
-1961  7 16    19.1    18.2    18.2 1
-1961  7 17    19.0    18.1    18.1 1
-1961  7 18    17.8    16.9    16.9 1
-1961  7 19    16.4    15.5    15.5 1
-1961  7 20    17.2    16.3    16.3 1
-1961  7 21    16.1    15.2    15.2 1
-1961  7 22    12.2    11.3    11.3 1
-1961  7 23    14.6    13.7    13.7 1
-1961  7 24    16.3    15.4    15.4 1
-1961  7 25    15.4    14.5    14.5 1
-1961  7 26    13.9    13.0    13.0 1
-1961  7 27    14.7    13.8    13.8 1
-1961  7 28    13.6    12.8    12.8 1
-1961  7 29    15.4    14.6    14.6 1
-1961  7 30    16.7    15.9    15.9 1
-1961  7 31    14.7    13.9    13.9 1
-1961  8  1    16.6    15.8    15.8 1
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-1961  8  7    15.6    14.8    14.8 1
-1961  8  8    16.2    15.4    15.4 1
-1961  8  9    15.7    14.9    14.9 1
-1961  8 10    15.8    15.0    15.0 1
-1961  8 11    16.2    15.5    15.5 1
-1961  8 12    15.7    15.0    15.0 1
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-1961  8 14    14.6    13.9    13.9 1
-1961  8 15    13.9    13.2    13.2 1
-1961  8 16    13.8    13.1    13.1 1
-1961  8 17    13.2    12.5    12.5 1
-1961  8 18    12.1    11.4    11.4 1
-1961  8 19    13.6    12.9    12.9 1
-1961  8 20    13.7    13.1    13.1 1
-1961  8 21    14.4    13.8    13.8 1
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-1961  8 23    12.9    12.3    12.3 1
-1961  8 24    13.9    13.3    13.3 1
-1961  8 25    10.7    10.1    10.1 1
-1961  8 26    12.9    12.3    12.3 1
-1961  8 27    15.6    15.1    15.1 1
-1961  8 28    14.7    14.2    14.2 1
-1961  8 29    15.1    14.6    14.6 1
-1961  8 30    17.4    16.9    16.9 1
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-1961  9 20    10.9    10.7    10.7 1
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-1961  9 23    12.0    11.8    11.8 1
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-1961  9 25    12.6    12.4    12.4 1
-1961  9 26    11.8    11.6    11.6 1
-1961  9 27    10.7    10.5    10.5 1
-1961  9 28    11.7    11.5    11.5 1
-1961  9 29    13.4    13.2    13.2 1
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-1962  4 25     9.3     8.4     8.4 1
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-1962  4 27     6.6     5.6     5.6 1
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-1964  4  5     0.7    -0.1    -0.1 1
-1964  4  6     1.6     0.8     0.8 1
-1964  4  7     0.9     0.1     0.1 1
-1964  4  8     2.9     2.1     2.1 1
-1964  4  9    -0.7    -1.5    -1.5 1
-1964  4 10     1.9     1.1     1.1 1
-1964  4 11     5.8     5.0     5.0 1
-1964  4 12     5.9     5.1     5.1 1
-1964  4 13     7.1     6.3     6.3 1
-1964  4 14     7.4     6.6     6.6 1
-1964  4 15     7.0     6.2     6.2 1
-1964  4 16     9.3     8.5     8.5 1
-1964  4 17    11.2    10.4    10.4 1
-1964  4 18    12.2    11.4    11.4 1
-1964  4 19    12.0    11.1    11.1 1
-1964  4 20    13.6    12.7    12.7 1
-1964  4 21    11.4    10.5    10.5 1
-1964  4 22     7.4     6.5     6.5 1
-1964  4 23     5.1     4.2     4.2 1
-1964  4 24     5.5     4.6     4.6 1
-1964  4 25     3.5     2.5     2.5 1
-1964  4 26     7.1     6.1     6.1 1
-1964  4 27     8.3     7.3     7.3 1
-1964  4 28     9.7     8.7     8.7 1
-1964  4 29     8.2     7.2     7.2 1
-1964  4 30     8.5     7.4     7.4 1
-1964  5  1     8.4     7.3     7.3 1
-1964  5  2     8.1     7.0     7.0 1
-1964  5  3     8.6     7.5     7.5 1
-1964  5  4     6.7     5.6     5.6 1
-1964  5  5     6.5     5.4     5.4 1
-1964  5  6     8.7     7.5     7.5 1
-1964  5  7    11.8    10.6    10.6 1
-1964  5  8     9.2     8.0     8.0 1
-1964  5  9    12.1    10.9    10.9 1
-1964  5 10    13.3    12.1    12.1 1
-1964  5 11    10.3     9.0     9.0 1
-1964  5 12    11.1     9.8     9.8 1
-1964  5 13    13.7    12.4    12.4 1
-1964  5 14    13.6    12.3    12.3 1
-1964  5 15    10.9     9.6     9.6 1
-1964  5 16    10.4     9.1     9.1 1
-1964  5 17     8.2     6.9     6.9 1
-1964  5 18     8.9     7.6     7.6 1
-1964  5 19    13.1    11.8    11.8 1
-1964  5 20    14.3    13.0    13.0 1
-1964  5 21    14.0    12.7    12.7 1
-1964  5 22    14.5    13.2    13.2 1
-1964  5 23    14.2    12.9    12.9 1
-1964  5 24    15.5    14.2    14.2 1
-1964  5 25    15.2    14.0    14.0 1
-1964  5 26    16.2    15.0    15.0 1
-1964  5 27    17.0    15.8    15.8 1
-1964  5 28    15.0    13.8    13.8 1
-1964  5 29    15.3    14.1    14.1 1
-1964  5 30    15.5    14.3    14.3 1
-1964  5 31    12.7    11.5    11.5 1
-1964  6  1    11.1     9.9     9.9 1
-1964  6  2    10.9     9.7     9.7 1
-1964  6  3    10.0     8.8     8.8 1
-1964  6  4     9.2     8.0     8.0 1
-1964  6  5    11.9    10.7    10.7 1
-1964  6  6    16.2    15.1    15.1 1
-1964  6  7    13.7    12.6    12.6 1
-1964  6  8    10.5     9.4     9.4 1
-1964  6  9    14.2    13.1    13.1 1
-1964  6 10    14.0    12.9    12.9 1
-1964  6 11    15.9    14.8    14.8 1
-1964  6 12    16.9    15.8    15.8 1
-1964  6 13    18.2    17.1    17.1 1
-1964  6 14    18.8    17.7    17.7 1
-1964  6 15    19.0    17.9    17.9 1
-1964  6 16    14.8    13.7    13.7 1
-1964  6 17    13.0    11.9    11.9 1
-1964  6 18    15.1    14.0    14.0 1
-1964  6 19    16.1    15.0    15.0 1
-1964  6 20    17.4    16.4    16.4 1
-1964  6 21    17.3    16.3    16.3 1
-1964  6 22    13.4    12.4    12.4 1
-1964  6 23    14.4    13.4    13.4 1
-1964  6 24    14.7    13.7    13.7 1
-1964  6 25    17.1    16.1    16.1 1
-1964  6 26    18.8    17.8    17.8 1
-1964  6 27    19.7    18.7    18.7 1
-1964  6 28    16.8    15.8    15.8 1
-1964  6 29    15.7    14.7    14.7 1
-1964  6 30    12.9    11.9    11.9 1
-1964  7  1    14.7    13.7    13.7 1
-1964  7  2    15.8    14.8    14.8 1
-1964  7  3    14.7    13.7    13.7 1
-1964  7  4    15.0    14.0    14.0 1
-1964  7  5    14.5    13.5    13.5 1
-1964  7  6    13.4    12.4    12.4 1
-1964  7  7    11.6    10.6    10.6 1
-1964  7  8    13.2    12.2    12.2 1
-1964  7  9    15.6    14.6    14.6 1
-1964  7 10    14.6    13.6    13.6 1
-1964  7 11    15.1    14.1    14.1 1
-1964  7 12    15.4    14.4    14.4 1
-1964  7 13    18.2    17.2    17.2 1
-1964  7 14    20.0    19.0    19.0 1
-1964  7 15    21.2    20.2    20.2 1
-1964  7 16    21.4    20.4    20.4 1
-1964  7 17    22.0    21.0    21.0 1
-1964  7 18    20.7    19.7    19.7 1
-1964  7 19    21.0    20.0    20.0 1
-1964  7 20    19.8    18.9    18.9 1
-1964  7 21    17.6    16.7    16.7 1
-1964  7 22    16.2    15.3    15.3 1
-1964  7 23    17.9    17.0    17.0 1
-1964  7 24    16.8    15.9    15.9 1
-1964  7 25    17.5    16.6    16.6 1
-1964  7 26    18.0    17.1    17.1 1
-1964  7 27    17.9    17.0    17.0 1
-1964  7 28    18.6    17.7    17.7 1
-1964  7 29    16.6    15.7    15.7 1
-1964  7 30    14.5    13.6    13.6 1
-1964  7 31    14.1    13.2    13.2 1
-1964  8  1    14.1    13.2    13.2 1
-1964  8  2    11.2    10.3    10.3 1
-1964  8  3    13.4    12.6    12.6 1
-1964  8  4    14.7    13.9    13.9 1
-1964  8  5    14.6    13.8    13.8 1
-1964  8  6    16.6    15.8    15.8 1
-1964  8  7    15.8    15.0    15.0 1
-1964  8  8    19.4    18.6    18.6 1
-1964  8  9    17.6    16.8    16.8 1
-1964  8 10    16.0    15.2    15.2 1
-1964  8 11    17.4    16.6    16.6 1
-1964  8 12    15.6    14.8    14.8 1
-1964  8 13    13.1    12.3    12.3 1
-1964  8 14    14.7    13.9    13.9 1
-1964  8 15    16.4    15.6    15.6 1
-1964  8 16    15.5    14.8    14.8 1
-1964  8 17    13.9    13.2    13.2 1
-1964  8 18    16.1    15.4    15.4 1
-1964  8 19    17.1    16.4    16.4 1
-1964  8 20    18.4    17.7    17.7 1
-1964  8 21    11.9    11.2    11.2 1
-1964  8 22    12.1    11.5    11.5 1
-1964  8 23    13.8    13.2    13.2 1
-1964  8 24    15.6    15.0    15.0 1
-1964  8 25    15.3    14.7    14.7 1
-1964  8 26    14.6    14.0    14.0 1
-1964  8 27    20.9    20.3    20.3 1
-1964  8 28    15.8    15.2    15.2 1
-1964  8 29    12.5    12.0    12.0 1
-1964  8 30    11.3    10.8    10.8 1
-1964  8 31    11.3    10.8    10.8 1
-1964  9  1    12.0    11.5    11.5 1
-1964  9  2    14.6    14.1    14.1 1
-1964  9  3    14.6    14.1    14.1 1
-1964  9  4    15.9    15.4    15.4 1
-1964  9  5    17.5    17.1    17.1 1
-1964  9  6    13.7    13.3    13.3 1
-1964  9  7    16.3    15.9    15.9 1
-1964  9  8    15.3    14.9    14.9 1
-1964  9  9    10.0     9.6     9.6 1
-1964  9 10    10.1     9.7     9.7 1
-1964  9 11     9.8     9.5     9.5 1
-1964  9 12     8.2     7.9     7.9 1
-1964  9 13     8.5     8.2     8.2 1
-1964  9 14     9.7     9.4     9.4 1
-1964  9 15    14.7    14.4    14.4 1
-1964  9 16    15.8    15.5    15.5 1
-1964  9 17    12.4    12.1    12.1 1
-1964  9 18     9.5     9.2     9.2 1
-1964  9 19    11.1    10.8    10.8 1
-1964  9 20     9.6     9.3     9.3 1
-1964  9 21     9.7     9.4     9.4 1
-1964  9 22     9.3     9.0     9.0 1
-1964  9 23    10.7    10.4    10.4 1
-1964  9 24    12.6    12.3    12.3 1
-1964  9 25    13.9    13.6    13.6 1
-1964  9 26    11.6    11.3    11.3 1
-1964  9 27    11.8    11.5    11.5 1
-1964  9 28    11.6    11.3    11.3 1
-1964  9 29    12.7    12.4    12.4 1
-1964  9 30     8.3     8.0     8.0 1
-1964 10  1     7.5     7.2     7.2 1
-1964 10  2     9.2     8.9     8.9 1
-1964 10  3     6.8     6.6     6.6 1
-1964 10  4     9.5     9.3     9.3 1
-1964 10  5     9.5     9.3     9.3 1
-1964 10  6     8.3     8.1     8.1 1
-1964 10  7     9.9     9.7     9.7 1
-1964 10  8    11.7    11.5    11.5 1
-1964 10  9    10.8    10.6    10.6 1
-1964 10 10    10.5    10.3    10.3 1
-1964 10 11     9.4     9.2     9.2 1
-1964 10 12     7.7     7.5     7.5 1
-1964 10 13     8.3     8.1     8.1 1
-1964 10 14    10.2    10.0    10.0 1
-1964 10 15     8.4     8.2     8.2 1
-1964 10 16     7.2     7.0     7.0 1
-1964 10 17     7.8     7.6     7.6 1
-1964 10 18     7.1     6.9     6.9 1
-1964 10 19     6.7     6.4     6.4 1
-1964 10 20    10.0     9.7     9.7 1
-1964 10 21     8.1     7.8     7.8 1
-1964 10 22     7.5     7.2     7.2 1
-1964 10 23     8.0     7.7     7.7 1
-1964 10 24     8.2     7.9     7.9 1
-1964 10 25     6.1     5.8     5.8 1
-1964 10 26     3.2     2.9     2.9 1
-1964 10 27     4.4     4.1     4.1 1
-1964 10 28     4.6     4.3     4.3 1
-1964 10 29     1.5     1.2     1.2 1
-1964 10 30     3.8     3.5     3.5 1
-1964 10 31     4.5     4.2     4.2 1
-1964 11  1     3.8     3.4     3.4 1
-1964 11  2     5.8     5.4     5.4 1
-1964 11  3     5.6     5.2     5.2 1
-1964 11  4     6.3     5.9     5.9 1
-1964 11  5     0.8     0.4     0.4 1
-1964 11  6     2.1     1.7     1.7 1
-1964 11  7     0.2    -0.2    -0.2 1
-1964 11  8    -1.4    -1.8    -1.8 1
-1964 11  9     3.8     3.4     3.4 1
-1964 11 10     4.8     4.4     4.4 1
-1964 11 11     4.1     3.7     3.7 1
-1964 11 12     3.0     2.6     2.6 1
-1964 11 13     4.2     3.8     3.8 1
-1964 11 14     6.3     5.9     5.9 1
-1964 11 15     6.8     6.3     6.3 1
-1964 11 16     5.8     5.3     5.3 1
-1964 11 17     3.0     2.5     2.5 1
-1964 11 18     0.3    -0.2    -0.2 1
-1964 11 19     0.9     0.4     0.4 1
-1964 11 20     1.0     0.5     0.5 1
-1964 11 21     1.8     1.3     1.3 1
-1964 11 22    -0.4    -0.9    -0.9 1
-1964 11 23     2.0     1.5     1.5 1
-1964 11 24     3.6     3.1     3.1 1
-1964 11 25     2.6     2.1     2.1 1
-1964 11 26     1.1     0.6     0.6 1
-1964 11 27     3.1     2.6     2.6 1
-1964 11 28    -0.2    -0.7    -0.7 1
-1964 11 29     0.7     0.2     0.2 1
-1964 11 30     0.9     0.4     0.4 1
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-1964 12  5    -1.6    -2.1    -2.1 1
-1964 12  6    -3.9    -4.4    -4.4 1
-1964 12  7     2.2     1.7     1.7 1
-1964 12  8     5.2     4.7     4.7 1
-1964 12  9     6.7     6.2     6.2 1
-1964 12 10     8.1     7.5     7.5 1
-1964 12 11     5.1     4.5     4.5 1
-1964 12 12     3.8     3.2     3.2 1
-1964 12 13     5.6     5.0     5.0 1
-1964 12 14     0.7     0.1     0.1 1
-1964 12 15     0.1    -0.5    -0.5 1
-1964 12 16    -0.3    -0.9    -0.9 1
-1964 12 17     1.0     0.4     0.4 1
-1964 12 18    -0.4    -1.0    -1.0 1
-1964 12 19    -1.1    -1.7    -1.7 1
-1964 12 20    -2.6    -3.2    -3.2 1
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-1964 12 22     0.4    -0.2    -0.2 1
-1964 12 23    -1.0    -1.6    -1.6 1
-1964 12 24     1.3     0.7     0.7 1
-1964 12 25    -2.6    -3.2    -3.2 1
-1964 12 26    -6.2    -6.8    -6.8 1
-1964 12 27    -7.6    -8.2    -8.2 1
-1964 12 28    -8.3    -9.0    -9.0 1
-1964 12 29   -10.2   -10.9   -10.9 1
-1964 12 30    -3.2    -3.9    -3.9 1
-1964 12 31     1.6     0.9     0.9 1
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-1965  1  3    -3.2    -3.9    -3.9 1
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-1965  1  5    -3.1    -3.8    -3.8 1
-1965  1  6    -6.6    -7.3    -7.3 1
-1965  1  7    -5.8    -6.5    -6.5 1
-1965  1  8    -1.0    -1.7    -1.7 1
-1965  1  9    -9.2    -9.9    -9.9 1
-1965  1 10   -11.6   -12.3   -12.3 1
-1965  1 11    -3.6    -4.3    -4.3 1
-1965  1 12     3.0     2.2     2.2 1
-1965  1 13     2.6     1.8     1.8 1
-1965  1 14     3.2     2.4     2.4 1
-1965  1 15     2.3     1.5     1.5 1
-1965  1 16     2.4     1.6     1.6 1
-1965  1 17     2.0     1.2     1.2 1
-1965  1 18     3.0     2.2     2.2 1
-1965  1 19     2.3     1.5     1.5 1
-1965  1 20     1.6     0.8     0.8 1
-1965  1 21    -0.8    -1.6    -1.6 1
-1965  1 22     0.9     0.1     0.1 1
-1965  1 23     1.2     0.4     0.4 1
-1965  1 24     0.5    -0.3    -0.3 1
-1965  1 25    -0.9    -1.7    -1.7 1
-1965  1 26    -1.6    -2.4    -2.4 1
-1965  1 27    -2.7    -3.5    -3.5 1
-1965  1 28    -1.3    -2.1    -2.1 1
-1965  1 29    -0.4    -1.2    -1.2 1
-1965  1 30    -4.7    -5.5    -5.5 1
-1965  1 31    -5.6    -6.4    -6.4 1
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-1965  2  4    -2.4    -3.2    -3.2 1
-1965  2  5    -0.7    -1.5    -1.5 1
-1965  2  6     1.8     1.0     1.0 1
-1965  2  7     1.2     0.4     0.4 1
-1965  2  8    -3.1    -3.9    -3.9 1
-1965  2  9    -4.5    -5.3    -5.3 1
-1965  2 10    -0.6    -1.4    -1.4 1
-1965  2 11    -1.6    -2.4    -2.4 1
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-1965  2 13     0.8     0.0     0.0 1
-1965  2 14    -4.2    -5.0    -5.0 1
-1965  2 15    -6.6    -7.4    -7.4 1
-1965  2 16    -4.0    -4.8    -4.8 1
-1965  2 17    -4.2    -5.0    -5.0 1
-1965  2 18    -3.0    -3.8    -3.8 1
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-1965  2 20    -3.0    -3.9    -3.9 1
-1965  2 21    -0.7    -1.6    -1.6 1
-1965  2 22    -4.4    -5.3    -5.3 1
-1965  2 23    -7.1    -8.0    -8.0 1
-1965  2 24    -6.4    -7.3    -7.3 1
-1965  2 25    -8.0    -8.9    -8.9 1
-1965  2 26   -10.6   -11.5   -11.5 1
-1965  2 27   -10.7   -11.6   -11.6 1
-1965  2 28   -11.6   -12.5   -12.5 1
-1965  3  1   -10.0   -10.9   -10.9 1
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-1965  3  4    -6.9    -7.8    -7.8 1
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-1965  3  7    -5.4    -6.3    -6.3 1
-1965  3  8    -3.6    -4.5    -4.5 1
-1965  3  9    -2.2    -3.1    -3.1 1
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-1965  3 11     0.4    -0.5    -0.5 1
-1965  3 12     0.0    -0.9    -0.9 1
-1965  3 13    -0.2    -1.1    -1.1 1
-1965  3 14     3.1     2.2     2.2 1
-1965  3 15     3.1     2.2     2.2 1
-1965  3 16     3.0     2.1     2.1 1
-1965  3 17     4.1     3.2     3.2 1
-1965  3 18     3.3     2.4     2.4 1
-1965  3 19     1.3     0.4     0.4 1
-1965  3 20    -0.1    -1.0    -1.0 1
-1965  3 21     0.0    -0.9    -0.9 1
-1965  3 22     0.8    -0.1    -0.1 1
-1965  3 23     1.0     0.1     0.1 1
-1965  3 24     1.3     0.4     0.4 1
-1965  3 25    -1.2    -2.1    -2.1 1
-1965  3 26    -0.9    -1.8    -1.8 1
-1965  3 27     0.7    -0.2    -0.2 1
-1965  3 28     2.1     1.2     1.2 1
-1965  3 29     7.8     6.9     6.9 1
-1965  3 30     5.7     4.8     4.8 1
-1965  3 31     3.0     2.1     2.1 1
-1965  4  1     4.1     3.2     3.2 1
-1965  4  2     1.6     0.7     0.7 1
-1965  4  3     1.2     0.4     0.4 1
-1965  4  4     5.9     5.1     5.1 1
-1965  4  5     7.9     7.1     7.1 1
-1965  4  6     5.9     5.1     5.1 1
-1965  4  7     1.3     0.5     0.5 1
-1965  4  8    -2.7    -3.5    -3.5 1
-1965  4  9    -0.7    -1.5    -1.5 1
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-1965  4 11     2.8     2.0     2.0 1
-1965  4 12     2.3     1.5     1.5 1
-1965  4 13     2.6     1.8     1.8 1
-1965  4 14     2.8     2.0     2.0 1
-1965  4 15     2.2     1.4     1.4 1
-1965  4 16     3.9     3.1     3.1 1
-1965  4 17     3.6     2.8     2.8 1
-1965  4 18     4.1     3.3     3.3 1
-1965  4 19     5.6     4.7     4.7 1
-1965  4 20     6.0     5.1     5.1 1
-1965  4 21     7.3     6.4     6.4 1
-1965  4 22     6.9     6.0     6.0 1
-1965  4 23     7.4     6.5     6.5 1
-1965  4 24     5.1     4.1     4.1 1
-1965  4 25     3.5     2.5     2.5 1
-1965  4 26     3.1     2.1     2.1 1
-1965  4 27     4.0     3.0     3.0 1
-1965  4 28     8.8     7.8     7.8 1
-1965  4 29     6.6     5.5     5.5 1
-1965  4 30     9.6     8.5     8.5 1
-1965  5  1     5.4     4.3     4.3 1
-1965  5  2     5.0     3.9     3.9 1
-1965  5  3     7.4     6.3     6.3 1
-1965  5  4     7.1     6.0     6.0 1
-1965  5  5     7.2     6.0     6.0 1
-1965  5  6     8.2     7.0     7.0 1
-1965  5  7     9.0     7.8     7.8 1
-1965  5  8     9.8     8.6     8.6 1
-1965  5  9     6.1     4.9     4.9 1
-1965  5 10     9.3     8.0     8.0 1
-1965  5 11    10.5     9.2     9.2 1
-1965  5 12    10.3     9.0     9.0 1
-1965  5 13    10.6     9.3     9.3 1
-1965  5 14     7.3     6.0     6.0 1
-1965  5 15     5.4     4.0     4.0 1
-1965  5 16     6.2     4.9     4.9 1
-1965  5 17     6.6     5.3     5.3 1
-1965  5 18     6.0     4.7     4.7 1
-1965  5 19     7.7     6.4     6.4 1
-1965  5 20     7.0     5.7     5.7 1
-1965  5 21     7.2     5.9     5.9 1
-1965  5 22     7.1     5.8     5.8 1
-1965  5 23     8.7     7.4     7.4 1
-1965  5 24    10.4     9.1     9.1 1
-1965  5 25    12.0    10.7    10.7 1
-1965  5 26    15.0    13.7    13.7 1
-1965  5 27    13.5    12.3    12.3 1
-1965  5 28    11.2    10.0    10.0 1
-1965  5 29     9.3     8.1     8.1 1
-1965  5 30     9.4     8.2     8.2 1
-1965  5 31    11.7    10.5    10.5 1
-1965  6  1    13.8    12.6    12.6 1
-1965  6  2    13.7    12.5    12.5 1
-1965  6  3    11.0     9.8     9.8 1
-1965  6  4    13.3    12.1    12.1 1
-1965  6  5    17.4    16.2    16.2 1
-1965  6  6    15.3    14.1    14.1 1
-1965  6  7    14.8    13.7    13.7 1
-1965  6  8    11.2    10.1    10.1 1
-1965  6  9    13.0    11.9    11.9 1
-1965  6 10    17.6    16.5    16.5 1
-1965  6 11    17.6    16.5    16.5 1
-1965  6 12    15.2    14.1    14.1 1
-1965  6 13    13.3    12.2    12.2 1
-1965  6 14    15.6    14.5    14.5 1
-1965  6 15    17.3    16.2    16.2 1
-1965  6 16    17.4    16.3    16.3 1
-1965  6 17    18.2    17.1    17.1 1
-1965  6 18    15.4    14.3    14.3 1
-1965  6 19    14.8    13.7    13.7 1
-1965  6 20    16.3    15.2    15.2 1
-1965  6 21    16.5    15.4    15.4 1
-1965  6 22    16.3    15.2    15.2 1
-1965  6 23    17.3    16.2    16.2 1
-1965  6 24    15.0    13.9    13.9 1
-1965  6 25    16.5    15.5    15.5 1
-1965  6 26    18.0    17.0    17.0 1
-1965  6 27    15.0    14.0    14.0 1
-1965  6 28    14.4    13.4    13.4 1
-1965  6 29    15.2    14.2    14.2 1
-1965  6 30    13.8    12.8    12.8 1
-1965  7  1    13.2    12.2    12.2 1
-1965  7  2    12.2    11.2    11.2 1
-1965  7  3    12.0    11.0    11.0 1
-1965  7  4    13.8    12.8    12.8 1
-1965  7  5    15.1    14.1    14.1 1
-1965  7  6    13.1    12.1    12.1 1
-1965  7  7    13.1    12.1    12.1 1
-1965  7  8    14.6    13.6    13.6 1
-1965  7  9    11.5    10.5    10.5 1
-1965  7 10    13.4    12.4    12.4 1
-1965  7 11    13.1    12.1    12.1 1
-1965  7 12    12.6    11.6    11.6 1
-1965  7 13    14.8    13.8    13.8 1
-1965  7 14    17.6    16.6    16.6 1
-1965  7 15    15.2    14.2    14.2 1
-1965  7 16    14.4    13.4    13.4 1
-1965  7 17    14.8    13.8    13.8 1
-1965  7 18    16.6    15.6    15.6 1
-1965  7 19    18.7    17.7    17.7 1
-1965  7 20    18.5    17.5    17.5 1
-1965  7 21    19.4    18.4    18.4 1
-1965  7 22    19.6    18.7    18.7 1
-1965  7 23    18.1    17.2    17.2 1
-1965  7 24    15.8    14.9    14.9 1
-1965  7 25    15.4    14.5    14.5 1
-1965  7 26    15.8    14.9    14.9 1
-1965  7 27    15.0    14.1    14.1 1
-1965  7 28    13.0    12.1    12.1 1
-1965  7 29    14.2    13.3    13.3 1
-1965  7 30    14.4    13.5    13.5 1
-1965  7 31    14.9    14.0    14.0 1
-1965  8  1    14.2    13.3    13.3 1
-1965  8  2    14.2    13.3    13.3 1
-1965  8  3    12.2    11.3    11.3 1
-1965  8  4    15.2    14.4    14.4 1
-1965  8  5    14.9    14.1    14.1 1
-1965  8  6    14.9    14.1    14.1 1
-1965  8  7    15.4    14.6    14.6 1
-1965  8  8    14.7    13.9    13.9 1
-1965  8  9    15.1    14.3    14.3 1
-1965  8 10    13.7    12.9    12.9 1
-1965  8 11    13.7    12.9    12.9 1
-1965  8 12    12.6    11.8    11.8 1
-1965  8 13    11.8    11.0    11.0 1
-1965  8 14    10.8    10.0    10.0 1
-1965  8 15    12.5    11.7    11.7 1
-1965  8 16    15.8    15.0    15.0 1
-1965  8 17    14.3    13.6    13.6 1
-1965  8 18    16.2    15.5    15.5 1
-1965  8 19    17.3    16.6    16.6 1
-1965  8 20    18.2    17.5    17.5 1
-1965  8 21    16.4    15.7    15.7 1
-1965  8 22    16.1    15.4    15.4 1
-1965  8 23    17.1    16.5    16.5 1
-1965  8 24    18.2    17.6    17.6 1
-1965  8 25    16.0    15.4    15.4 1
-1965  8 26    16.4    15.8    15.8 1
-1965  8 27    13.5    12.9    12.9 1
-1965  8 28    13.2    12.6    12.6 1
-1965  8 29    15.1    14.5    14.5 1
-1965  8 30    13.2    12.7    12.7 1
-1965  8 31    12.5    12.0    12.0 1
-1965  9  1    13.2    12.7    12.7 1
-1965  9  2    14.3    13.8    13.8 1
-1965  9  3    12.6    12.1    12.1 1
-1965  9  4    15.9    15.4    15.4 1
-1965  9  5    15.3    14.9    14.9 1
-1965  9  6    15.6    15.2    15.2 1
-1965  9  7    14.5    14.1    14.1 1
-1965  9  8    13.5    13.1    13.1 1
-1965  9  9    13.4    13.0    13.0 1
-1965  9 10    11.6    11.2    11.2 1
-1965  9 11    11.0    10.6    10.6 1
-1965  9 12    11.3    11.0    11.0 1
-1965  9 13    10.7    10.4    10.4 1
-1965  9 14    11.7    11.4    11.4 1
-1965  9 15    10.6    10.3    10.3 1
-1965  9 16    12.1    11.8    11.8 1
-1965  9 17    14.7    14.4    14.4 1
-1965  9 18    12.4    12.1    12.1 1
-1965  9 19    13.2    12.9    12.9 1
-1965  9 20     9.7     9.4     9.4 1
-1965  9 21    13.6    13.3    13.3 1
-1965  9 22    15.5    15.2    15.2 1
-1965  9 23    13.2    12.9    12.9 1
-1965  9 24    12.4    12.1    12.1 1
-1965  9 25    12.6    12.3    12.3 1
-1965  9 26    12.5    12.2    12.2 1
-1965  9 27    14.3    14.0    14.0 1
-1965  9 28    13.9    13.6    13.6 1
-1965  9 29    13.0    12.7    12.7 1
-1965  9 30    12.1    11.8    11.8 1
-1965 10  1     9.6     9.3     9.3 1
-1965 10  2     8.4     8.1     8.1 1
-1965 10  3    10.9    10.6    10.6 1
-1965 10  4    11.4    11.1    11.1 1
-1965 10  5     9.8     9.5     9.5 1
-1965 10  6    10.6    10.3    10.3 1
-1965 10  7    12.2    12.0    12.0 1
-1965 10  8     8.1     7.9     7.9 1
-1965 10  9     6.2     6.0     6.0 1
-1965 10 10     5.3     5.1     5.1 1
-1965 10 11     2.6     2.4     2.4 1
-1965 10 12     6.0     5.8     5.8 1
-1965 10 13    10.3    10.1    10.1 1
-1965 10 14     8.0     7.8     7.8 1
-1965 10 15    10.3    10.1    10.1 1
-1965 10 16     8.4     8.2     8.2 1
-1965 10 17     7.5     7.3     7.3 1
-1965 10 18     6.3     6.0     6.0 1
-1965 10 19     6.7     6.4     6.4 1
-1965 10 20     7.2     6.9     6.9 1
-1965 10 21     7.2     6.9     6.9 1
-1965 10 22     6.7     6.4     6.4 1
-1965 10 23     7.3     7.0     7.0 1
-1965 10 24     7.5     7.2     7.2 1
-1965 10 25     5.0     4.7     4.7 1
-1965 10 26     4.7     4.4     4.4 1
-1965 10 27     8.0     7.7     7.7 1
-1965 10 28    12.1    11.8    11.8 1
-1965 10 29     9.7     9.4     9.4 1
-1965 10 30     8.8     8.5     8.5 1
-1965 10 31     8.5     8.1     8.1 1
-1965 11  1     7.2     6.8     6.8 1
-1965 11  2     7.3     6.9     6.9 1
-1965 11  3     5.4     5.0     5.0 1
-1965 11  4     5.0     4.6     4.6 1
-1965 11  5     4.3     3.9     3.9 1
-1965 11  6     5.1     4.7     4.7 1
-1965 11  7     4.1     3.7     3.7 1
-1965 11  8     2.8     2.4     2.4 1
-1965 11  9     2.8     2.4     2.4 1
-1965 11 10     0.4     0.0     0.0 1
-1965 11 11    -1.6    -2.0    -2.0 1
-1965 11 12    -2.8    -3.2    -3.2 1
-1965 11 13    -4.3    -4.7    -4.7 1
-1965 11 14    -4.9    -5.4    -5.4 1
-1965 11 15    -4.5    -5.0    -5.0 1
-1965 11 16    -6.5    -7.0    -7.0 1
-1965 11 17    -3.6    -4.1    -4.1 1
-1965 11 18    -3.8    -4.3    -4.3 1
-1965 11 19    -2.1    -2.6    -2.6 1
-1965 11 20    -6.8    -7.3    -7.3 1
-1965 11 21    -8.8    -9.3    -9.3 1
-1965 11 22    -8.4    -8.9    -8.9 1
-1965 11 23   -10.5   -11.0   -11.0 1
-1965 11 24    -6.3    -6.8    -6.8 1
-1965 11 25    -1.1    -1.6    -1.6 1
-1965 11 26     1.2     0.7     0.7 1
-1965 11 27     0.8     0.3     0.3 1
-1965 11 28    -1.7    -2.2    -2.2 1
-1965 11 29    -4.1    -4.6    -4.6 1
-1965 11 30     0.7     0.2     0.2 1
-1965 12  1     1.4     0.9     0.9 1
-1965 12  2    -3.2    -3.7    -3.7 1
-1965 12  3    -1.1    -1.6    -1.6 1
-1965 12  4     2.7     2.2     2.2 1
-1965 12  5     1.4     0.9     0.9 1
-1965 12  6     0.4    -0.1    -0.1 1
-1965 12  7    -4.8    -5.3    -5.3 1
-1965 12  8    -4.8    -5.4    -5.4 1
-1965 12  9    -3.7    -4.3    -4.3 1
-1965 12 10     1.9     1.3     1.3 1
-1965 12 11    -1.6    -2.2    -2.2 1
-1965 12 12    -7.3    -7.9    -7.9 1
-1965 12 13   -11.3   -11.9   -11.9 1
-1965 12 14    -8.9    -9.5    -9.5 1
-1965 12 15    -8.7    -9.3    -9.3 1
-1965 12 16    -8.7    -9.3    -9.3 1
-1965 12 17    -8.4    -9.0    -9.0 1
-1965 12 18    -3.2    -3.8    -3.8 1
-1965 12 19     1.3     0.7     0.7 1
-1965 12 20     1.3     0.7     0.7 1
-1965 12 21    -3.4    -4.0    -4.0 1
-1965 12 22    -6.7    -7.3    -7.3 1
-1965 12 23    -1.6    -2.2    -2.2 1
-1965 12 24     0.2    -0.4    -0.4 1
-1965 12 25     0.7     0.1     0.1 1
-1965 12 26     1.4     0.8     0.8 1
-1965 12 27     0.4    -0.3    -0.3 1
-1965 12 28    -3.6    -4.3    -4.3 1
-1965 12 29    -8.9    -9.6    -9.6 1
-1965 12 30   -10.9   -11.6   -11.6 1
-1965 12 31    -8.8    -9.5    -9.5 1
-1966  1  1   -11.5   -12.2   -12.2 1
-1966  1  2    -4.8    -5.5    -5.5 1
-1966  1  3    -7.6    -8.3    -8.3 1
-1966  1  4   -13.3   -14.0   -14.0 1
-1966  1  5   -13.3   -14.0   -14.0 1
-1966  1  6    -4.7    -5.4    -5.4 1
-1966  1  7    -2.8    -3.5    -3.5 1
-1966  1  8    -3.1    -3.8    -3.8 1
-1966  1  9    -5.5    -6.2    -6.2 1
-1966  1 10    -3.4    -4.1    -4.1 1
-1966  1 11    -4.9    -5.7    -5.7 1
-1966  1 12    -4.3    -5.1    -5.1 1
-1966  1 13    -7.5    -8.3    -8.3 1
-1966  1 14    -9.3   -10.1   -10.1 1
-1966  1 15    -9.3   -10.1   -10.1 1
-1966  1 16   -11.3   -12.1   -12.1 1
-1966  1 17    -9.8   -10.6   -10.6 1
-1966  1 18    -7.0    -7.8    -7.8 1
-1966  1 19   -13.3   -14.1   -14.1 1
-1966  1 20   -10.4   -11.2   -11.2 1
-1966  1 21    -4.8    -5.6    -5.6 1
-1966  1 22    -5.3    -6.1    -6.1 1
-1966  1 23    -6.5    -7.3    -7.3 1
-1966  1 24    -7.2    -8.0    -8.0 1
-1966  1 25    -8.1    -8.9    -8.9 1
-1966  1 26    -4.6    -5.4    -5.4 1
-1966  1 27    -3.0    -3.8    -3.8 1
-1966  1 28    -5.6    -6.4    -6.4 1
-1966  1 29    -4.1    -4.9    -4.9 1
-1966  1 30     1.5     0.7     0.7 1
-1966  1 31     3.2     2.4     2.4 1
-1966  2  1    -9.9   -10.7   -10.7 1
-1966  2  2   -19.8   -20.6   -20.6 1
-1966  2  3   -17.3   -18.1   -18.1 1
-1966  2  4   -15.9   -16.7   -16.7 1
-1966  2  5   -11.5   -12.3   -12.3 1
-1966  2  6   -12.2   -13.0   -13.0 1
-1966  2  7   -15.4   -16.2   -16.2 1
-1966  2  8   -21.2   -22.0   -22.0 1
-1966  2  9   -16.0   -16.8   -16.8 1
-1966  2 10   -11.2   -12.0   -12.0 1
-1966  2 11   -13.8   -14.6   -14.6 1
-1966  2 12   -17.4   -18.2   -18.2 1
-1966  2 13   -17.7   -18.5   -18.5 1
-1966  2 14   -10.7   -11.5   -11.5 1
-1966  2 15   -10.6   -11.5   -11.5 1
-1966  2 16   -10.7   -11.6   -11.6 1
-1966  2 17   -11.6   -12.5   -12.5 1
-1966  2 18   -14.3   -15.2   -15.2 1
-1966  2 19   -12.0   -12.9   -12.9 1
-1966  2 20    -6.3    -7.2    -7.2 1
-1966  2 21    -1.3    -2.2    -2.2 1
-1966  2 22     0.4    -0.5    -0.5 1
-1966  2 23    -2.7    -3.6    -3.6 1
-1966  2 24     0.9     0.0     0.0 1
-1966  2 25    -3.1    -4.0    -4.0 1
-1966  2 26    -1.6    -2.5    -2.5 1
-1966  2 27    -0.7    -1.6    -1.6 1
-1966  2 28     3.6     2.7     2.7 1
-1966  3  1    -2.5    -3.4    -3.4 1
-1966  3  2    -2.8    -3.7    -3.7 1
-1966  3  3     4.2     3.3     3.3 1
-1966  3  4     2.1     1.2     1.2 1
-1966  3  5     1.1     0.2     0.2 1
-1966  3  6     1.8     0.9     0.9 1
-1966  3  7     2.5     1.6     1.6 1
-1966  3  8     4.8     3.9     3.9 1
-1966  3  9     2.6     1.7     1.7 1
-1966  3 10     0.3    -0.6    -0.6 1
-1966  3 11     1.1     0.2     0.2 1
-1966  3 12    -5.7    -6.6    -6.6 1
-1966  3 13   -11.0   -12.0   -12.0 1
-1966  3 14   -11.1   -12.1   -12.1 1
-1966  3 15    -7.7    -8.7    -8.7 1
-1966  3 16     0.5    -0.5    -0.5 1
-1966  3 17     5.7     4.8     4.8 1
-1966  3 18    -1.6    -2.5    -2.5 1
-1966  3 19     0.1    -0.8    -0.8 1
-1966  3 20     3.7     2.8     2.8 1
-1966  3 21     3.1     2.2     2.2 1
-1966  3 22    -0.3    -1.2    -1.2 1
-1966  3 23     0.6    -0.3    -0.3 1
-1966  3 24     0.8    -0.1    -0.1 1
-1966  3 25    -2.8    -3.7    -3.7 1
-1966  3 26    -3.7    -4.6    -4.6 1
-1966  3 27    -0.9    -1.8    -1.8 1
-1966  3 28     0.4    -0.5    -0.5 1
-1966  3 29     1.0     0.1     0.1 1
-1966  3 30     0.5    -0.4    -0.4 1
-1966  3 31     1.7     0.8     0.8 1
-1966  4  1     2.9     2.0     2.0 1
-1966  4  2     3.6     2.7     2.7 1
-1966  4  3     3.5     2.6     2.6 1
-1966  4  4     4.6     3.7     3.7 1
-1966  4  5     2.5     1.6     1.6 1
-1966  4  6     1.1     0.3     0.3 1
-1966  4  7     3.6     2.8     2.8 1
-1966  4  8     1.2     0.4     0.4 1
-1966  4  9     1.0     0.2     0.2 1
-1966  4 10    -3.3    -4.1    -4.1 1
-1966  4 11    -5.5    -6.3    -6.3 1
-1966  4 12    -5.0    -5.8    -5.8 1
-1966  4 13    -5.1    -5.9    -5.9 1
-1966  4 14    -5.2    -6.0    -6.0 1
-1966  4 15    -4.4    -5.2    -5.2 1
-1966  4 16    -4.8    -5.6    -5.6 1
-1966  4 17    -5.4    -6.2    -6.2 1
-1966  4 18    -2.8    -3.7    -3.7 1
-1966  4 19    -1.2    -2.1    -2.1 1
-1966  4 20     0.0    -0.9    -0.9 1
-1966  4 21     2.1     1.2     1.2 1
-1966  4 22     3.2     2.3     2.3 1
-1966  4 23     3.0     2.0     2.0 1
-1966  4 24     6.0     5.0     5.0 1
-1966  4 25     3.7     2.7     2.7 1
-1966  4 26     5.4     4.4     4.4 1
-1966  4 27    10.0     9.0     9.0 1
-1966  4 28     9.3     8.3     8.3 1
-1966  4 29    11.4    10.3    10.3 1
-1966  4 30    12.4    11.3    11.3 1
-1966  5  1    13.2    12.1    12.1 1
-1966  5  2    12.3    11.2    11.2 1
-1966  5  3    12.7    11.6    11.6 1
-1966  5  4    11.4    10.2    10.2 1
-1966  5  5     6.0     4.8     4.8 1
-1966  5  6     2.5     1.3     1.3 1
-1966  5  7     3.6     2.4     2.4 1
-1966  5  8     7.8     6.6     6.6 1
-1966  5  9     7.9     6.6     6.6 1
-1966  5 10     8.4     7.1     7.1 1
-1966  5 11     7.2     5.9     5.9 1
-1966  5 12     7.5     6.2     6.2 1
-1966  5 13     8.5     7.2     7.2 1
-1966  5 14    12.7    11.3    11.3 1
-1966  5 15    15.1    13.7    13.7 1
-1966  5 16    14.8    13.4    13.4 1
-1966  5 17    15.5    14.1    14.1 1
-1966  5 18    16.4    15.1    15.1 1
-1966  5 19    16.9    15.6    15.6 1
-1966  5 20    12.9    11.6    11.6 1
-1966  5 21    10.7     9.4     9.4 1
-1966  5 22    12.4    11.1    11.1 1
-1966  5 23    11.3    10.0    10.0 1
-1966  5 24    10.3     9.0     9.0 1
-1966  5 25    11.0     9.7     9.7 1
-1966  5 26    10.6     9.3     9.3 1
-1966  5 27    10.7     9.4     9.4 1
-1966  5 28     7.3     6.0     6.0 1
-1966  5 29     8.4     7.2     7.2 1
-1966  5 30    12.0    10.8    10.8 1
-1966  5 31    12.0    10.8    10.8 1
-1966  6  1    14.3    13.1    13.1 1
-1966  6  2    12.4    11.2    11.2 1
-1966  6  3    12.9    11.7    11.7 1
-1966  6  4    14.1    12.9    12.9 1
-1966  6  5    15.0    13.8    13.8 1
-1966  6  6    15.1    13.9    13.9 1
-1966  6  7    16.1    14.9    14.9 1
-1966  6  8    14.5    13.3    13.3 1
-1966  6  9    13.8    12.7    12.7 1
-1966  6 10    17.1    16.0    16.0 1
-1966  6 11    18.6    17.5    17.5 1
-1966  6 12    20.4    19.3    19.3 1
-1966  6 13    18.6    17.5    17.5 1
-1966  6 14    18.5    17.4    17.4 1
-1966  6 15    21.1    20.0    20.0 1
-1966  6 16    23.7    22.6    22.6 1
-1966  6 17    22.8    21.7    21.7 1
-1966  6 18    22.5    21.4    21.4 1
-1966  6 19    22.2    21.1    21.1 1
-1966  6 20    21.3    20.2    20.2 1
-1966  6 21    20.1    19.0    19.0 1
-1966  6 22    20.3    19.2    19.2 1
-1966  6 23    20.0    18.9    18.9 1
-1966  6 24    18.2    17.1    17.1 1
-1966  6 25    19.7    18.6    18.6 1
-1966  6 26    18.5    17.4    17.4 1
-1966  6 27    16.7    15.6    15.6 1
-1966  6 28    17.6    16.5    16.5 1
-1966  6 29    16.4    15.3    15.3 1
-1966  6 30    17.7    16.6    16.6 1
-1966  7  1    19.5    18.5    18.5 1
-1966  7  2    19.8    18.8    18.8 1
-1966  7  3    16.8    15.8    15.8 1
-1966  7  4    18.0    17.0    17.0 1
-1966  7  5    18.3    17.3    17.3 1
-1966  7  6    17.4    16.4    16.4 1
-1966  7  7    15.6    14.6    14.6 1
-1966  7  8    17.2    16.2    16.2 1
-1966  7  9    17.6    16.6    16.6 1
-1966  7 10    20.0    19.0    19.0 1
-1966  7 11    18.6    17.6    17.6 1
-1966  7 12    18.1    17.1    17.1 1
-1966  7 13    15.9    14.9    14.9 1
-1966  7 14    16.2    15.2    15.2 1
-1966  7 15    17.6    16.6    16.6 1
-1966  7 16    15.0    14.0    14.0 1
-1966  7 17    15.5    14.5    14.5 1
-1966  7 18    18.1    17.1    17.1 1
-1966  7 19    21.6    20.6    20.6 1
-1966  7 20    21.7    20.7    20.7 1
-1966  7 21    22.6    21.6    21.6 1
-1966  7 22    24.0    23.0    23.0 1
-1966  7 23    23.3    22.3    22.3 1
-1966  7 24    21.7    20.8    20.8 1
-1966  7 25    21.8    20.9    20.9 1
-1966  7 26    18.0    17.1    17.1 1
-1966  7 27    17.3    16.4    16.4 1
-1966  7 28    17.4    16.5    16.5 1
-1966  7 29    17.8    16.9    16.9 1
-1966  7 30    15.0    14.1    14.1 1
-1966  7 31    15.7    14.8    14.8 1
-1966  8  1    15.8    14.9    14.9 1
-1966  8  2    17.8    16.9    16.9 1
-1966  8  3    13.9    13.0    13.0 1
-1966  8  4    16.3    15.4    15.4 1
-1966  8  5    16.6    15.7    15.7 1
-1966  8  6    15.7    14.9    14.9 1
-1966  8  7    15.9    15.1    15.1 1
-1966  8  8    17.4    16.6    16.6 1
-1966  8  9    16.6    15.8    15.8 1
-1966  8 10    16.7    15.9    15.9 1
-1966  8 11    15.1    14.3    14.3 1
-1966  8 12    15.9    15.1    15.1 1
-1966  8 13    15.0    14.2    14.2 1
-1966  8 14    15.0    14.2    14.2 1
-1966  8 15    13.8    13.0    13.0 1
-1966  8 16    15.3    14.5    14.5 1
-1966  8 17    16.9    16.2    16.2 1
-1966  8 18    18.2    17.5    17.5 1
-1966  8 19    17.4    16.7    16.7 1
-1966  8 20    18.5    17.8    17.8 1
-1966  8 21    16.3    15.6    15.6 1
-1966  8 22    13.2    12.5    12.5 1
-1966  8 23    13.4    12.7    12.7 1
-1966  8 24    13.0    12.4    12.4 1
-1966  8 25    13.8    13.2    13.2 1
-1966  8 26    14.0    13.4    13.4 1
-1966  8 27    15.9    15.3    15.3 1
-1966  8 28    14.6    14.0    14.0 1
-1966  8 29    14.7    14.1    14.1 1
-1966  8 30    15.0    14.5    14.5 1
-1966  8 31    14.2    13.7    13.7 1
-1966  9  1    14.2    13.7    13.7 1
-1966  9  2    15.1    14.6    14.6 1
-1966  9  3    14.2    13.7    13.7 1
-1966  9  4    15.1    14.6    14.6 1
-1966  9  5    14.8    14.3    14.3 1
-1966  9  6    13.6    13.2    13.2 1
-1966  9  7    16.4    16.0    16.0 1
-1966  9  8    13.9    13.5    13.5 1
-1966  9  9     8.5     8.1     8.1 1
-1966  9 10     9.1     8.7     8.7 1
-1966  9 11    12.1    11.7    11.7 1
-1966  9 12    14.5    14.2    14.2 1
-1966  9 13    13.4    13.1    13.1 1
-1966  9 14    12.3    12.0    12.0 1
-1966  9 15    12.4    12.1    12.1 1
-1966  9 16    10.8    10.5    10.5 1
-1966  9 17    11.6    11.3    11.3 1
-1966  9 18     8.3     8.0     8.0 1
-1966  9 19     9.7     9.4     9.4 1
-1966  9 20    14.9    14.6    14.6 1
-1966  9 21    10.9    10.6    10.6 1
-1966  9 22     9.8     9.5     9.5 1
-1966  9 23     9.0     8.7     8.7 1
-1966  9 24    11.4    11.1    11.1 1
-1966  9 25     7.4     7.1     7.1 1
-1966  9 26     8.8     8.5     8.5 1
-1966  9 27     5.1     4.8     4.8 1
-1966  9 28     5.2     4.9     4.9 1
-1966  9 29     5.7     5.4     5.4 1
-1966  9 30    10.7    10.4    10.4 1
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-1966 10  7     8.8     8.5     8.5 1
-1966 10  8    10.1     9.8     9.8 1
-1966 10  9     7.2     6.9     6.9 1
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-1966 10 11     5.1     4.9     4.9 1
-1966 10 12     6.4     6.2     6.2 1
-1966 10 13     4.3     4.1     4.1 1
-1966 10 14     5.3     5.1     5.1 1
-1966 10 15     7.9     7.7     7.7 1
-1966 10 16     9.5     9.3     9.3 1
-1966 10 17     9.0     8.7     8.7 1
-1966 10 18    11.4    11.1    11.1 1
-1966 10 19     9.4     9.1     9.1 1
-1966 10 20     8.5     8.2     8.2 1
-1966 10 21    10.4    10.1    10.1 1
-1966 10 22     9.1     8.8     8.8 1
-1966 10 23     8.6     8.3     8.3 1
-1966 10 24     7.3     7.0     7.0 1
-1966 10 25     3.6     3.3     3.3 1
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-1966 10 27     1.2     0.9     0.9 1
-1966 10 28     1.2     0.9     0.9 1
-1966 10 29    -0.3    -0.6    -0.6 1
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-1966 11 28     5.6     5.1     5.1 1
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-1966 11 30     1.0     0.5     0.5 1
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-1966 12 27    -1.2    -1.9    -1.9 1
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-1966 12 29     1.0     0.3     0.3 1
-1966 12 30     1.6     0.9     0.9 1
-1966 12 31     1.2     0.5     0.5 1
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-1967  1  6    -5.7    -6.4    -6.4 1
-1967  1  7    -7.0    -7.7    -7.7 1
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-1967  1  9    -7.0    -7.7    -7.7 1
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-1967  1 14    -2.2    -3.0    -3.0 1
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-1967  1 17     1.4     0.6     0.6 1
-1967  1 18     1.1     0.3     0.3 1
-1967  1 19     1.7     0.9     0.9 1
-1967  1 20    -2.2    -3.0    -3.0 1
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-1967  1 24    -5.7    -6.5    -6.5 1
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-1967  1 26    -6.9    -7.7    -7.7 1
-1967  1 27    -8.7    -9.5    -9.5 1
-1967  1 28    -7.8    -8.6    -8.6 1
-1967  1 29   -11.9   -12.7   -12.7 1
-1967  1 30   -14.0   -14.8   -14.8 1
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-1967  2  7     0.4    -0.4    -0.4 1
-1967  2  8    -2.1    -2.9    -2.9 1
-1967  2  9    -4.4    -5.2    -5.2 1
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-1967  2 11    -0.8    -1.6    -1.6 1
-1967  2 12    -0.7    -1.5    -1.5 1
-1967  2 13    -1.0    -1.8    -1.8 1
-1967  2 14    -2.7    -3.5    -3.5 1
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-1967  2 16    -1.6    -2.5    -2.5 1
-1967  2 17    -2.2    -3.1    -3.1 1
-1967  2 18    -0.4    -1.3    -1.3 1
-1967  2 19    -0.2    -1.1    -1.1 1
-1967  2 20     1.6     0.7     0.7 1
-1967  2 21     1.4     0.5     0.5 1
-1967  2 22     1.7     0.8     0.8 1
-1967  2 23     1.4     0.5     0.5 1
-1967  2 24     1.0     0.1     0.1 1
-1967  2 25    -1.2    -2.1    -2.1 1
-1967  2 26    -0.9    -1.8    -1.8 1
-1967  2 27     0.8    -0.1    -0.1 1
-1967  2 28     1.8     0.9     0.9 1
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-1967  3  3     2.7     1.8     1.8 1
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-1967  3  7     6.4     5.5     5.5 1
-1967  3  8     3.1     2.2     2.2 1
-1967  3  9     5.9     5.0     5.0 1
-1967  3 10     4.5     3.6     3.6 1
-1967  3 11     5.9     5.0     5.0 1
-1967  3 12     3.8     2.9     2.9 1
-1967  3 13     4.1     3.1     3.1 1
-1967  3 14     1.6     0.6     0.6 1
-1967  3 15     5.9     4.9     4.9 1
-1967  3 16     3.5     2.5     2.5 1
-1967  3 17     1.6     0.7     0.7 1
-1967  3 18     2.6     1.7     1.7 1
-1967  3 19     1.8     0.9     0.9 1
-1967  3 20     2.2     1.3     1.3 1
-1967  3 21     7.3     6.4     6.4 1
-1967  3 22     5.6     4.7     4.7 1
-1967  3 23     2.4     1.5     1.5 1
-1967  3 24     0.0    -0.9    -0.9 1
-1967  3 25     0.2    -0.7    -0.7 1
-1967  3 26     5.0     4.1     4.1 1
-1967  3 27     5.1     4.2     4.2 1
-1967  3 28     4.1     3.2     3.2 1
-1967  3 29     2.7     1.8     1.8 1
-1967  3 30     3.2     2.3     2.3 1
-1967  3 31     2.7     1.8     1.8 1
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-1967  4  2     2.4     1.5     1.5 1
-1967  4  3     1.3     0.4     0.4 1
-1967  4  4     2.2     1.3     1.3 1
-1967  4  5     2.3     1.4     1.4 1
-1967  4  6     2.8     2.0     2.0 1
-1967  4  7     3.6     2.8     2.8 1
-1967  4  8     4.9     4.1     4.1 1
-1967  4  9     3.3     2.5     2.5 1
-1967  4 10     3.5     2.7     2.7 1
-1967  4 11     4.3     3.5     3.5 1
-1967  4 12     5.8     5.0     5.0 1
-1967  4 13     7.1     6.3     6.3 1
-1967  4 14     9.2     8.4     8.4 1
-1967  4 15     9.4     8.6     8.6 1
-1967  4 16     8.3     7.5     7.5 1
-1967  4 17     8.9     8.1     8.1 1
-1967  4 18     2.6     1.7     1.7 1
-1967  4 19     2.6     1.7     1.7 1
-1967  4 20     4.3     3.4     3.4 1
-1967  4 21     3.0     2.1     2.1 1
-1967  4 22     1.9     1.0     1.0 1
-1967  4 23     3.3     2.3     2.3 1
-1967  4 24     4.3     3.3     3.3 1
-1967  4 25     5.6     4.6     4.6 1
-1967  4 26     7.7     6.7     6.7 1
-1967  4 27    10.4     9.4     9.4 1
-1967  4 28    11.7    10.7    10.7 1
-1967  4 29     7.8     6.7     6.7 1
-1967  4 30     5.1     4.0     4.0 1
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-1967  5  2     1.0    -0.1    -0.1 1
-1967  5  3     1.4     0.3     0.3 1
-1967  5  4     2.5     1.3     1.3 1
-1967  5  5     4.6     3.4     3.4 1
-1967  5  6     3.1     1.9     1.9 1
-1967  5  7     3.8     2.6     2.6 1
-1967  5  8     7.5     6.3     6.3 1
-1967  5  9     7.5     6.2     6.2 1
-1967  5 10    12.0    10.7    10.7 1
-1967  5 11    12.4    11.1    11.1 1
-1967  5 12    12.5    11.2    11.2 1
-1967  5 13    12.9    11.6    11.6 1
-1967  5 14    12.6    11.2    11.2 1
-1967  5 15     9.8     8.4     8.4 1
-1967  5 16     5.3     3.9     3.9 1
-1967  5 17     9.9     8.5     8.5 1
-1967  5 18     8.3     7.0     7.0 1
-1967  5 19     7.6     6.3     6.3 1
-1967  5 20     8.8     7.5     7.5 1
-1967  5 21    12.0    10.7    10.7 1
-1967  5 22    13.4    12.1    12.1 1
-1967  5 23    12.5    11.2    11.2 1
-1967  5 24     9.4     8.1     8.1 1
-1967  5 25    10.9     9.6     9.6 1
-1967  5 26    10.6     9.3     9.3 1
-1967  5 27     9.1     7.8     7.8 1
-1967  5 28    12.6    11.3    11.3 1
-1967  5 29    15.8    14.6    14.6 1
-1967  5 30    16.3    15.1    15.1 1
-1967  5 31    16.9    15.7    15.7 1
-1967  6  1    15.1    13.9    13.9 1
-1967  6  2    17.3    16.1    16.1 1
-1967  6  3    19.1    17.9    17.9 1
-1967  6  4    14.7    13.5    13.5 1
-1967  6  5    12.7    11.5    11.5 1
-1967  6  6    13.9    12.7    12.7 1
-1967  6  7    12.4    11.2    11.2 1
-1967  6  8    12.5    11.3    11.3 1
-1967  6  9    12.0    10.9    10.9 1
-1967  6 10    11.1    10.0    10.0 1
-1967  6 11    11.0     9.9     9.9 1
-1967  6 12    13.1    12.0    12.0 1
-1967  6 13    11.5    10.4    10.4 1
-1967  6 14    12.3    11.2    11.2 1
-1967  6 15    17.4    16.3    16.3 1
-1967  6 16    18.7    17.6    17.6 1
-1967  6 17    15.5    14.4    14.4 1
-1967  6 18    16.7    15.6    15.6 1
-1967  6 19    19.1    18.0    18.0 1
-1967  6 20    18.9    17.8    17.8 1
-1967  6 21    16.0    14.9    14.9 1
-1967  6 22    15.5    14.4    14.4 1
-1967  6 23    11.2    10.1    10.1 1
-1967  6 24    14.7    13.6    13.6 1
-1967  6 25    15.6    14.5    14.5 1
-1967  6 26    18.3    17.2    17.2 1
-1967  6 27    17.1    16.0    16.0 1
-1967  6 28    15.3    14.2    14.2 1
-1967  6 29    14.9    13.8    13.8 1
-1967  6 30    16.6    15.6    15.6 1
-1967  7  1    17.0    16.0    16.0 1
-1967  7  2    17.1    16.1    16.1 1
-1967  7  3    17.8    16.8    16.8 1
-1967  7  4    16.7    15.7    15.7 1
-1967  7  5    16.3    15.3    15.3 1
-1967  7  6    17.7    16.7    16.7 1
-1967  7  7    20.3    19.3    19.3 1
-1967  7  8    18.2    17.2    17.2 1
-1967  7  9    18.0    17.0    17.0 1
-1967  7 10    21.8    20.8    20.8 1
-1967  7 11    18.8    17.8    17.8 1
-1967  7 12    17.8    16.8    16.8 1
-1967  7 13    16.9    15.9    15.9 1
-1967  7 14    14.3    13.3    13.3 1
-1967  7 15    16.6    15.6    15.6 1
-1967  7 16    19.7    18.7    18.7 1
-1967  7 17    19.7    18.7    18.7 1
-1967  7 18    20.1    19.1    19.1 1
-1967  7 19    20.5    19.5    19.5 1
-1967  7 20    18.4    17.4    17.4 1
-1967  7 21    19.1    18.1    18.1 1
-1967  7 22    17.8    16.8    16.8 1
-1967  7 23    18.6    17.6    17.6 1
-1967  7 24    17.2    16.3    16.3 1
-1967  7 25    17.7    16.8    16.8 1
-1967  7 26    16.6    15.7    15.7 1
-1967  7 27    18.6    17.7    17.7 1
-1967  7 28    21.1    20.2    20.2 1
-1967  7 29    18.9    18.0    18.0 1
-1967  7 30    18.9    18.0    18.0 1
-1967  7 31    19.6    18.7    18.7 1
-1967  8  1    21.9    21.0    21.0 1
-1967  8  2    22.3    21.4    21.4 1
-1967  8  3    23.2    22.3    22.3 1
-1967  8  4    20.0    19.1    19.1 1
-1967  8  5    16.9    16.0    16.0 1
-1967  8  6    15.9    15.1    15.1 1
-1967  8  7    15.0    14.2    14.2 1
-1967  8  8    10.7     9.9     9.9 1
-1967  8  9    13.7    12.9    12.9 1
-1967  8 10    17.2    16.4    16.4 1
-1967  8 11    18.9    18.1    18.1 1
-1967  8 12    17.7    16.9    16.9 1
-1967  8 13    18.0    17.2    17.2 1
-1967  8 14    17.1    16.3    16.3 1
-1967  8 15    18.6    17.8    17.8 1
-1967  8 16    17.4    16.6    16.6 1
-1967  8 17    16.6    15.9    15.9 1
-1967  8 18    15.1    14.4    14.4 1
-1967  8 19    14.7    14.0    14.0 1
-1967  8 20    13.2    12.5    12.5 1
-1967  8 21    14.2    13.5    13.5 1
-1967  8 22    14.4    13.7    13.7 1
-1967  8 23    16.0    15.3    15.3 1
-1967  8 24    14.6    14.0    14.0 1
-1967  8 25    14.1    13.5    13.5 1
-1967  8 26    14.5    13.9    13.9 1
-1967  8 27    15.4    14.8    14.8 1
-1967  8 28    16.4    15.8    15.8 1
-1967  8 29    16.4    15.8    15.8 1
-1967  8 30    14.5    14.0    14.0 1
-1967  8 31    14.6    14.1    14.1 1
-1967  9  1    14.0    13.5    13.5 1
-1967  9  2    14.7    14.2    14.2 1
-1967  9  3    14.3    13.8    13.8 1
-1967  9  4    15.2    14.7    14.7 1
-1967  9  5    16.4    15.9    15.9 1
-1967  9  6    16.3    15.9    15.9 1
-1967  9  7    14.3    13.9    13.9 1
-1967  9  8    14.2    13.8    13.8 1
-1967  9  9    13.2    12.8    12.8 1
-1967  9 10    13.0    12.6    12.6 1
-1967  9 11    13.4    13.0    13.0 1
-1967  9 12    13.2    12.9    12.9 1
-1967  9 13    13.8    13.5    13.5 1
-1967  9 14    14.6    14.3    14.3 1
-1967  9 15    14.0    13.7    13.7 1
-1967  9 16    12.9    12.6    12.6 1
-1967  9 17    13.3    13.0    13.0 1
-1967  9 18    13.7    13.4    13.4 1
-1967  9 19    13.3    13.0    13.0 1
-1967  9 20    14.4    14.1    14.1 1
-1967  9 21    13.1    12.8    12.8 1
-1967  9 22    12.5    12.2    12.2 1
-1967  9 23    11.8    11.5    11.5 1
-1967  9 24    10.8    10.5    10.5 1
-1967  9 25    10.5    10.2    10.2 1
-1967  9 26    11.8    11.5    11.5 1
-1967  9 27    11.2    10.9    10.9 1
-1967  9 28     8.7     8.4     8.4 1
-1967  9 29     9.8     9.5     9.5 1
-1967  9 30     9.2     8.9     8.9 1
-1967 10  1    13.1    12.8    12.8 1
-1967 10  2    13.2    12.9    12.9 1
-1967 10  3    10.9    10.6    10.6 1
-1967 10  4    12.4    12.1    12.1 1
-1967 10  5    11.9    11.6    11.6 1
-1967 10  6    10.4    10.1    10.1 1
-1967 10  7    10.4    10.1    10.1 1
-1967 10  8     8.9     8.6     8.6 1
-1967 10  9     7.8     7.5     7.5 1
-1967 10 10     9.2     9.0     9.0 1
-1967 10 11     8.6     8.4     8.4 1
-1967 10 12    12.8    12.6    12.6 1
-1967 10 13    11.4    11.2    11.2 1
-1967 10 14    11.1    10.9    10.9 1
-1967 10 15    11.6    11.4    11.4 1
-1967 10 16     8.4     8.2     8.2 1
-1967 10 17     3.4     3.1     3.1 1
-1967 10 18     1.4     1.1     1.1 1
-1967 10 19     5.0     4.7     4.7 1
-1967 10 20     6.1     5.8     5.8 1
-1967 10 21    10.6    10.3    10.3 1
-1967 10 22     9.0     8.7     8.7 1
-1967 10 23     4.7     4.4     4.4 1
-1967 10 24     7.9     7.6     7.6 1
-1967 10 25     7.4     7.1     7.1 1
-1967 10 26     9.1     8.8     8.8 1
-1967 10 27    10.0     9.7     9.7 1
-1967 10 28     9.2     8.9     8.9 1
-1967 10 29     9.7     9.4     9.4 1
-1967 10 30     9.1     8.7     8.7 1
-1967 10 31     6.6     6.2     6.2 1
-1967 11  1     5.7     5.3     5.3 1
-1967 11  2     8.1     7.7     7.7 1
-1967 11  3     8.5     8.1     8.1 1
-1967 11  4     7.8     7.4     7.4 1
-1967 11  5     8.2     7.8     7.8 1
-1967 11  6     9.2     8.8     8.8 1
-1967 11  7     7.0     6.6     6.6 1
-1967 11  8     5.8     5.4     5.4 1
-1967 11  9     3.6     3.2     3.2 1
-1967 11 10     2.6     2.2     2.2 1
-1967 11 11     4.2     3.8     3.8 1
-1967 11 12     5.2     4.8     4.8 1
-1967 11 13     2.3     1.8     1.8 1
-1967 11 14     3.8     3.3     3.3 1
-1967 11 15     6.2     5.7     5.7 1
-1967 11 16     4.6     4.1     4.1 1
-1967 11 17     1.5     1.0     1.0 1
-1967 11 18     5.3     4.8     4.8 1
-1967 11 19     1.7     1.2     1.2 1
-1967 11 20     4.1     3.6     3.6 1
-1967 11 21     7.1     6.6     6.6 1
-1967 11 22     6.1     5.6     5.6 1
-1967 11 23     4.5     4.0     4.0 1
-1967 11 24     3.3     2.8     2.8 1
-1967 11 25     4.0     3.5     3.5 1
-1967 11 26     3.7     3.2     3.2 1
-1967 11 27     2.2     1.7     1.7 1
-1967 11 28     1.4     0.9     0.9 1
-1967 11 29     2.3     1.8     1.8 1
-1967 11 30     0.8     0.3     0.3 1
-1967 12  1     5.8     5.3     5.3 1
-1967 12  2     5.8     5.3     5.3 1
-1967 12  3     4.9     4.4     4.4 1
-1967 12  4     3.1     2.6     2.6 1
-1967 12  5     2.7     2.1     2.1 1
-1967 12  6    -3.4    -4.0    -4.0 1
-1967 12  7    -3.0    -3.6    -3.6 1
-1967 12  8    -5.6    -6.2    -6.2 1
-1967 12  9    -9.4   -10.0   -10.0 1
-1967 12 10    -7.6    -8.2    -8.2 1
-1967 12 11    -9.7   -10.3   -10.3 1
-1967 12 12   -10.8   -11.4   -11.4 1
-1967 12 13    -2.4    -3.0    -3.0 1
-1967 12 14     1.2     0.6     0.6 1
-1967 12 15     5.7     5.1     5.1 1
-1967 12 16    -0.6    -1.2    -1.2 1
-1967 12 17    -7.9    -8.5    -8.5 1
-1967 12 18    -9.8   -10.4   -10.4 1
-1967 12 19    -9.9   -10.5   -10.5 1
-1967 12 20   -10.9   -11.5   -11.5 1
-1967 12 21    -9.3    -9.9    -9.9 1
-1967 12 22    -4.3    -4.9    -4.9 1
-1967 12 23    -4.7    -5.3    -5.3 1
-1967 12 24    -5.1    -5.7    -5.7 1
-1967 12 25    -3.0    -3.7    -3.7 1
-1967 12 26    -7.6    -8.3    -8.3 1
-1967 12 27   -10.4   -11.1   -11.1 1
-1967 12 28    -0.5    -1.2    -1.2 1
-1967 12 29    -2.5    -3.2    -3.2 1
-1967 12 30    -7.2    -7.9    -7.9 1
-1967 12 31    -7.1    -7.8    -7.8 1
-1968  1  1    -7.9    -8.6    -8.6 1
-1968  1  2   -11.2   -11.9   -11.9 1
-1968  1  3   -12.5   -13.2   -13.2 1
-1968  1  4   -12.1   -12.8   -12.8 1
-1968  1  5    -5.5    -6.2    -6.2 1
-1968  1  6    -9.8   -10.5   -10.5 1
-1968  1  7   -16.0   -16.7   -16.7 1
-1968  1  8   -13.4   -14.1   -14.1 1
-1968  1  9   -15.9   -16.6   -16.6 1
-1968  1 10   -13.5   -14.2   -14.2 1
-1968  1 11   -13.9   -14.7   -14.7 1
-1968  1 12   -14.4   -15.2   -15.2 1
-1968  1 13   -14.1   -14.9   -14.9 1
-1968  1 14    -5.0    -5.8    -5.8 1
-1968  1 15    -2.1    -2.9    -2.9 1
-1968  1 16    -5.5    -6.3    -6.3 1
-1968  1 17    -6.1    -6.9    -6.9 1
-1968  1 18    -3.5    -4.3    -4.3 1
-1968  1 19    -1.8    -2.6    -2.6 1
-1968  1 20     1.7     0.9     0.9 1
-1968  1 21     2.3     1.5     1.5 1
-1968  1 22     0.2    -0.6    -0.6 1
-1968  1 23     0.2    -0.6    -0.6 1
-1968  1 24     0.5    -0.3    -0.3 1
-1968  1 25    -1.3    -2.1    -2.1 1
-1968  1 26    -2.4    -3.2    -3.2 1
-1968  1 27    -7.6    -8.4    -8.4 1
-1968  1 28    -1.7    -2.5    -2.5 1
-1968  1 29    -4.0    -4.8    -4.8 1
-1968  1 30     2.1     1.3     1.3 1
-1968  1 31     1.5     0.7     0.7 1
-1968  2  1     3.2     2.4     2.4 1
-1968  2  2     0.7    -0.1    -0.1 1
-1968  2  3     0.8     0.0     0.0 1
-1968  2  4     0.1    -0.7    -0.7 1
-1968  2  5     0.7    -0.1    -0.1 1
-1968  2  6     0.6    -0.2    -0.2 1
-1968  2  7    -1.8    -2.6    -2.6 1
-1968  2  8     0.0    -0.8    -0.8 1
-1968  2  9    -0.9    -1.7    -1.7 1
-1968  2 10    -2.6    -3.4    -3.4 1
-1968  2 11    -3.5    -4.3    -4.3 1
-1968  2 12    -5.3    -6.1    -6.1 1
-1968  2 13    -1.6    -2.4    -2.4 1
-1968  2 14    -4.7    -5.5    -5.5 1
-1968  2 15    -3.2    -4.0    -4.0 1
-1968  2 16   -10.9   -11.8   -11.8 1
-1968  2 17    -9.0    -9.9    -9.9 1
-1968  2 18   -10.0   -10.9   -10.9 1
-1968  2 19    -7.8    -8.7    -8.7 1
-1968  2 20    -6.2    -7.1    -7.1 1
-1968  2 21    -6.9    -7.8    -7.8 1
-1968  2 22    -7.5    -8.4    -8.4 1
-1968  2 23    -7.9    -8.8    -8.8 1
-1968  2 24    -6.5    -7.4    -7.4 1
-1968  2 25    -7.1    -8.0    -8.0 1
-1968  2 26    -0.4    -1.3    -1.3 1
-1968  2 27     2.6     1.7     1.7 1
-1968  2 28     1.7     0.8     0.8 1
-1968  2 29     1.2     0.3     0.3 1
-1968  3  1     1.9     1.0     1.0 1
-1968  3  2    -2.5    -3.4    -3.4 1
-1968  3  3    -2.2    -3.1    -3.1 1
-1968  3  4    -2.8    -3.7    -3.7 1
-1968  3  5     1.5     0.6     0.6 1
-1968  3  6     0.6    -0.3    -0.3 1
-1968  3  7    -2.5    -3.4    -3.4 1
-1968  3  8     1.3     0.4     0.4 1
-1968  3  9    -0.9    -1.8    -1.8 1
-1968  3 10    -3.9    -4.8    -4.8 1
-1968  3 11    -5.6    -6.5    -6.5 1
-1968  3 12    -4.7    -5.6    -5.6 1
-1968  3 13     2.1     1.1     1.1 1
-1968  3 14    -1.5    -2.5    -2.5 1
-1968  3 15    -4.4    -5.4    -5.4 1
-1968  3 16    -5.0    -6.0    -6.0 1
-1968  3 17     1.6     0.7     0.7 1
-1968  3 18     2.9     2.0     2.0 1
-1968  3 19    -0.3    -1.2    -1.2 1
-1968  3 20     2.6     1.7     1.7 1
-1968  3 21     5.1     4.2     4.2 1
-1968  3 22     4.3     3.4     3.4 1
-1968  3 23     2.7     1.8     1.8 1
-1968  3 24     6.6     5.7     5.7 1
-1968  3 25     8.3     7.4     7.4 1
-1968  3 26     7.2     6.3     6.3 1
-1968  3 27     6.6     5.7     5.7 1
-1968  3 28     9.7     8.8     8.8 1
-1968  3 29     7.3     6.4     6.4 1
-1968  3 30    11.9    11.0    11.0 1
-1968  3 31     4.5     3.6     3.6 1
-1968  4  1     4.7     3.8     3.8 1
-1968  4  2     3.9     3.0     3.0 1
-1968  4  3     6.3     5.4     5.4 1
-1968  4  4     4.4     3.5     3.5 1
-1968  4  5     3.2     2.3     2.3 1
-1968  4  6     1.8     1.0     1.0 1
-1968  4  7     1.4     0.6     0.6 1
-1968  4  8     0.7    -0.1    -0.1 1
-1968  4  9     1.8     1.0     1.0 1
-1968  4 10     1.8     1.0     1.0 1
-1968  4 11     2.2     1.4     1.4 1
-1968  4 12     5.5     4.7     4.7 1
-1968  4 13     6.0     5.2     5.2 1
-1968  4 14     7.0     6.2     6.2 1
-1968  4 15     8.6     7.8     7.8 1
-1968  4 16     7.1     6.3     6.3 1
-1968  4 17     7.9     7.1     7.1 1
-1968  4 18    10.9    10.0    10.0 1
-1968  4 19    10.1     9.2     9.2 1
-1968  4 20    11.4    10.5    10.5 1
-1968  4 21    13.5    12.6    12.6 1
-1968  4 22    12.4    11.5    11.5 1
-1968  4 23     9.5     8.5     8.5 1
-1968  4 24    12.2    11.2    11.2 1
-1968  4 25    12.2    11.2    11.2 1
-1968  4 26    13.6    12.6    12.6 1
-1968  4 27     9.4     8.4     8.4 1
-1968  4 28     8.6     7.6     7.6 1
-1968  4 29     9.2     8.1     8.1 1
-1968  4 30    10.5     9.4     9.4 1
-1968  5  1    10.0     8.9     8.9 1
-1968  5  2    10.3     9.2     9.2 1
-1968  5  3     6.2     5.1     5.1 1
-1968  5  4     8.0     6.8     6.8 1
-1968  5  5     6.6     5.4     5.4 1
-1968  5  6    11.2    10.0    10.0 1
-1968  5  7     7.8     6.6     6.6 1
-1968  5  8     8.2     7.0     7.0 1
-1968  5  9     7.3     6.0     6.0 1
-1968  5 10     8.7     7.4     7.4 1
-1968  5 11    11.2     9.9     9.9 1
-1968  5 12    10.1     8.8     8.8 1
-1968  5 13    10.2     8.9     8.9 1
-1968  5 14    10.5     9.1     9.1 1
-1968  5 15     7.6     6.2     6.2 1
-1968  5 16     6.5     5.1     5.1 1
-1968  5 17     3.5     2.1     2.1 1
-1968  5 18     3.6     2.3     2.3 1
-1968  5 19     2.2     0.9     0.9 1
-1968  5 20     4.3     3.0     3.0 1
-1968  5 21     3.8     2.5     2.5 1
-1968  5 22     6.1     4.8     4.8 1
-1968  5 23     9.5     8.2     8.2 1
-1968  5 24     8.7     7.4     7.4 1
-1968  5 25     8.7     7.4     7.4 1
-1968  5 26     8.6     7.3     7.3 1
-1968  5 27    10.0     8.7     8.7 1
-1968  5 28    12.6    11.3    11.3 1
-1968  5 29    14.0    12.8    12.8 1
-1968  5 30    15.1    13.9    13.9 1
-1968  5 31    15.3    14.1    14.1 1
-1968  6  1    16.6    15.4    15.4 1
-1968  6  2    18.4    17.2    17.2 1
-1968  6  3    17.2    16.0    16.0 1
-1968  6  4    18.0    16.8    16.8 1
-1968  6  5    19.4    18.2    18.2 1
-1968  6  6    18.0    16.8    16.8 1
-1968  6  7    15.2    14.0    14.0 1
-1968  6  8    14.6    13.4    13.4 1
-1968  6  9    12.8    11.7    11.7 1
-1968  6 10    12.8    11.7    11.7 1
-1968  6 11    14.0    12.9    12.9 1
-1968  6 12    17.7    16.6    16.6 1
-1968  6 13    21.1    20.0    20.0 1
-1968  6 14    21.2    20.1    20.1 1
-1968  6 15    22.1    21.0    21.0 1
-1968  6 16    18.9    17.8    17.8 1
-1968  6 17    20.9    19.8    19.8 1
-1968  6 18    23.0    21.9    21.9 1
-1968  6 19    22.6    21.5    21.5 1
-1968  6 20    21.2    20.1    20.1 1
-1968  6 21    17.3    16.2    16.2 1
-1968  6 22    17.0    15.9    15.9 1
-1968  6 23    18.1    17.0    17.0 1
-1968  6 24    18.5    17.4    17.4 1
-1968  6 25    17.2    16.1    16.1 1
-1968  6 26    16.4    15.3    15.3 1
-1968  6 27    16.4    15.3    15.3 1
-1968  6 28    13.0    11.9    11.9 1
-1968  6 29    15.6    14.5    14.5 1
-1968  6 30    15.7    14.7    14.7 1
-1968  7  1    19.8    18.8    18.8 1
-1968  7  2    23.2    22.2    22.2 1
-1968  7  3    21.6    20.6    20.6 1
-1968  7  4    21.5    20.5    20.5 1
-1968  7  5    18.8    17.8    17.8 1
-1968  7  6    19.4    18.4    18.4 1
-1968  7  7    13.3    12.3    12.3 1
-1968  7  8    14.0    13.0    13.0 1
-1968  7  9    15.9    14.9    14.9 1
-1968  7 10    12.5    11.5    11.5 1
-1968  7 11    13.4    12.4    12.4 1
-1968  7 12    12.9    11.9    11.9 1
-1968  7 13    15.0    14.0    14.0 1
-1968  7 14    13.8    12.8    12.8 1
-1968  7 15    16.3    15.3    15.3 1
-1968  7 16    14.4    13.4    13.4 1
-1968  7 17    15.2    14.2    14.2 1
-1968  7 18    14.5    13.5    13.5 1
-1968  7 19    15.6    14.6    14.6 1
-1968  7 20    17.5    16.5    16.5 1
-1968  7 21    14.4    13.4    13.4 1
-1968  7 22    13.3    12.3    12.3 1
-1968  7 23    13.7    12.7    12.7 1
-1968  7 24    15.5    14.6    14.6 1
-1968  7 25    16.4    15.5    15.5 1
-1968  7 26    16.1    15.2    15.2 1
-1968  7 27    18.6    17.7    17.7 1
-1968  7 28    19.4    18.5    18.5 1
-1968  7 29    18.4    17.5    17.5 1
-1968  7 30    18.3    17.4    17.4 1
-1968  7 31    21.3    20.4    20.4 1
-1968  8  1    18.9    18.0    18.0 1
-1968  8  2    16.6    15.7    15.7 1
-1968  8  3    18.3    17.4    17.4 1
-1968  8  4    19.0    18.1    18.1 1
-1968  8  5    18.7    17.8    17.8 1
-1968  8  6    21.1    20.3    20.3 1
-1968  8  7    22.0    21.2    21.2 1
-1968  8  8    20.8    20.0    20.0 1
-1968  8  9    18.8    18.0    18.0 1
-1968  8 10    20.8    20.0    20.0 1
-1968  8 11    20.8    20.0    20.0 1
-1968  8 12    16.7    15.9    15.9 1
-1968  8 13    12.5    11.7    11.7 1
-1968  8 14    15.6    14.8    14.8 1
-1968  8 15    15.7    14.9    14.9 1
-1968  8 16    14.7    13.9    13.9 1
-1968  8 17    13.4    12.7    12.7 1
-1968  8 18    15.6    14.9    14.9 1
-1968  8 19    15.1    14.4    14.4 1
-1968  8 20    13.9    13.2    13.2 1
-1968  8 21    16.2    15.5    15.5 1
-1968  8 22    17.7    17.0    17.0 1
-1968  8 23    19.4    18.7    18.7 1
-1968  8 24    20.5    19.9    19.9 1
-1968  8 25    20.3    19.7    19.7 1
-1968  8 26    18.0    17.4    17.4 1
-1968  8 27    16.1    15.5    15.5 1
-1968  8 28    16.9    16.3    16.3 1
-1968  8 29    16.3    15.7    15.7 1
-1968  8 30    17.9    17.4    17.4 1
-1968  8 31    16.4    15.9    15.9 1
-1968  9  1    20.3    19.8    19.8 1
-1968  9  2    18.8    18.3    18.3 1
-1968  9  3    17.6    17.1    17.1 1
-1968  9  4    19.4    18.9    18.9 1
-1968  9  5    19.9    19.4    19.4 1
-1968  9  6    21.4    21.0    21.0 1
-1968  9  7    21.7    21.3    21.3 1
-1968  9  8    20.2    19.8    19.8 1
-1968  9  9    17.2    16.8    16.8 1
-1968  9 10    15.8    15.4    15.4 1
-1968  9 11    14.3    13.9    13.9 1
-1968  9 12    10.4    10.1    10.1 1
-1968  9 13     8.7     8.4     8.4 1
-1968  9 14     8.6     8.3     8.3 1
-1968  9 15     8.3     8.0     8.0 1
-1968  9 16    10.1     9.8     9.8 1
-1968  9 17    12.4    12.1    12.1 1
-1968  9 18     8.7     8.4     8.4 1
-1968  9 19     9.4     9.1     9.1 1
-1968  9 20    11.3    11.0    11.0 1
-1968  9 21    12.3    12.0    12.0 1
-1968  9 22    12.5    12.2    12.2 1
-1968  9 23     8.8     8.5     8.5 1
-1968  9 24     6.9     6.6     6.6 1
-1968  9 25     5.4     5.1     5.1 1
-1968  9 26     5.0     4.7     4.7 1
-1968  9 27     7.8     7.5     7.5 1
-1968  9 28     9.8     9.5     9.5 1
-1968  9 29    11.1    10.8    10.8 1
-1968  9 30    11.0    10.7    10.7 1
-1968 10  1    11.2    10.9    10.9 1
-1968 10  2    11.2    10.9    10.9 1
-1968 10  3    11.1    10.8    10.8 1
-1968 10  4     8.8     8.5     8.5 1
-1968 10  5     3.3     3.0     3.0 1
-1968 10  6     2.1     1.8     1.8 1
-1968 10  7     1.8     1.5     1.5 1
-1968 10  8     6.3     6.0     6.0 1
-1968 10  9     5.3     5.0     5.0 1
-1968 10 10     2.9     2.6     2.6 1
-1968 10 11     5.5     5.3     5.3 1
-1968 10 12     7.7     7.5     7.5 1
-1968 10 13    11.0    10.8    10.8 1
-1968 10 14    10.3    10.1    10.1 1
-1968 10 15     4.3     4.1     4.1 1
-1968 10 16     4.5     4.3     4.3 1
-1968 10 17     7.3     7.0     7.0 1
-1968 10 18     4.5     4.2     4.2 1
-1968 10 19     2.8     2.5     2.5 1
-1968 10 20     4.5     4.2     4.2 1
-1968 10 21    10.2     9.9     9.9 1
-1968 10 22    10.3    10.0    10.0 1
-1968 10 23     7.2     6.9     6.9 1
-1968 10 24     0.6     0.3     0.3 1
-1968 10 25    -0.1    -0.4    -0.4 1
-1968 10 26     5.1     4.8     4.8 1
-1968 10 27     1.4     1.1     1.1 1
-1968 10 28     5.0     4.7     4.7 1
-1968 10 29     8.5     8.2     8.2 1
-1968 10 30     5.4     5.0     5.0 1
-1968 10 31     1.9     1.5     1.5 1
-1968 11  1     1.1     0.7     0.7 1
-1968 11  2     1.7     1.3     1.3 1
-1968 11  3     1.9     1.5     1.5 1
-1968 11  4    -0.2    -0.6    -0.6 1
-1968 11  5    -2.5    -2.9    -2.9 1
-1968 11  6    -1.7    -2.1    -2.1 1
-1968 11  7    -0.9    -1.3    -1.3 1
-1968 11  8     1.2     0.8     0.8 1
-1968 11  9     1.5     1.1     1.1 1
-1968 11 10     2.5     2.1     2.1 1
-1968 11 11     0.9     0.5     0.5 1
-1968 11 12    -1.0    -1.4    -1.4 1
-1968 11 13    -0.3    -0.8    -0.8 1
-1968 11 14    -1.4    -1.9    -1.9 1
-1968 11 15    -3.5    -4.0    -4.0 1
-1968 11 16    -4.3    -4.8    -4.8 1
-1968 11 17    -3.5    -4.0    -4.0 1
-1968 11 18    -1.8    -2.3    -2.3 1
-1968 11 19     0.1    -0.4    -0.4 1
-1968 11 20     1.5     1.0     1.0 1
-1968 11 21     2.3     1.8     1.8 1
-1968 11 22     3.4     2.9     2.9 1
-1968 11 23     5.1     4.6     4.6 1
-1968 11 24     5.8     5.3     5.3 1
-1968 11 25     2.9     2.4     2.4 1
-1968 11 26     3.8     3.3     3.3 1
-1968 11 27     6.2     5.7     5.7 1
-1968 11 28     5.0     4.5     4.5 1
-1968 11 29     2.0     1.5     1.5 1
-1968 11 30     1.6     1.1     1.1 1
-1968 12  1    -0.8    -1.3    -1.3 1
-1968 12  2    -2.5    -3.0    -3.0 1
-1968 12  3    -2.6    -3.1    -3.1 1
-1968 12  4    -0.3    -0.8    -0.8 1
-1968 12  5     1.9     1.4     1.4 1
-1968 12  6     0.4    -0.2    -0.2 1
-1968 12  7     1.0     0.4     0.4 1
-1968 12  8    -2.2    -2.8    -2.8 1
-1968 12  9    -4.9    -5.5    -5.5 1
-1968 12 10    -5.7    -6.3    -6.3 1
-1968 12 11    -3.5    -4.1    -4.1 1
-1968 12 12    -3.6    -4.2    -4.2 1
-1968 12 13    -1.0    -1.6    -1.6 1
-1968 12 14    -3.0    -3.6    -3.6 1
-1968 12 15     0.7     0.1     0.1 1
-1968 12 16     1.6     1.0     1.0 1
-1968 12 17     1.9     1.3     1.3 1
-1968 12 18     0.5    -0.1    -0.1 1
-1968 12 19     0.9     0.3     0.3 1
-1968 12 20    -2.9    -3.5    -3.5 1
-1968 12 21     1.8     1.2     1.2 1
-1968 12 22    -0.2    -0.8    -0.8 1
-1968 12 23     1.2     0.6     0.6 1
-1968 12 24     1.4     0.8     0.8 1
-1968 12 25     1.6     0.9     0.9 1
-1968 12 26     0.5    -0.2    -0.2 1
-1968 12 27     0.0    -0.7    -0.7 1
-1968 12 28    -0.5    -1.2    -1.2 1
-1968 12 29    -0.7    -1.4    -1.4 1
-1968 12 30    -2.3    -3.0    -3.0 1
-1968 12 31    -6.4    -7.1    -7.1 1
-1969  1  1   -11.9   -12.6   -12.6 1
-1969  1  2    -6.1    -6.8    -6.8 1
-1969  1  3    -2.0    -2.7    -2.7 1
-1969  1  4    -0.2    -0.9    -0.9 1
-1969  1  5    -1.0    -1.7    -1.7 1
-1969  1  6    -2.7    -3.4    -3.4 1
-1969  1  7    -4.8    -5.5    -5.5 1
-1969  1  8    -4.6    -5.3    -5.3 1
-1969  1  9    -3.5    -4.2    -4.2 1
-1969  1 10    -3.8    -4.5    -4.5 1
-1969  1 11    -4.1    -4.9    -4.9 1
-1969  1 12    -4.1    -4.9    -4.9 1
-1969  1 13    -6.9    -7.7    -7.7 1
-1969  1 14    -1.0    -1.8    -1.8 1
-1969  1 15     0.1    -0.7    -0.7 1
-1969  1 16     1.5     0.7     0.7 1
-1969  1 17     2.1     1.3     1.3 1
-1969  1 18    -0.4    -1.2    -1.2 1
-1969  1 19    -3.4    -4.2    -4.2 1
-1969  1 20    -2.3    -3.1    -3.1 1
-1969  1 21    -1.6    -2.4    -2.4 1
-1969  1 22    -1.0    -1.8    -1.8 1
-1969  1 23    -1.3    -2.1    -2.1 1
-1969  1 24    -5.5    -6.3    -6.3 1
-1969  1 25    -5.2    -6.0    -6.0 1
-1969  1 26    -3.0    -3.8    -3.8 1
-1969  1 27     1.5     0.7     0.7 1
-1969  1 28     1.5     0.7     0.7 1
-1969  1 29     1.8     1.0     1.0 1
-1969  1 30     1.6     0.8     0.8 1
-1969  1 31     2.2     1.4     1.4 1
-1969  2  1    -0.1    -0.9    -0.9 1
-1969  2  2    -1.6    -2.4    -2.4 1
-1969  2  3    -2.4    -3.2    -3.2 1
-1969  2  4    -6.1    -6.9    -6.9 1
-1969  2  5    -3.0    -3.8    -3.8 1
-1969  2  6     1.8     1.0     1.0 1
-1969  2  7    -0.1    -0.9    -0.9 1
-1969  2  8    -1.4    -2.2    -2.2 1
-1969  2  9    -1.4    -2.2    -2.2 1
-1969  2 10    -7.3    -8.1    -8.1 1
-1969  2 11   -10.9   -11.7   -11.7 1
-1969  2 12   -10.4   -11.2   -11.2 1
-1969  2 13   -17.1   -17.9   -17.9 1
-1969  2 14   -10.4   -11.2   -11.2 1
-1969  2 15   -11.4   -12.2   -12.2 1
-1969  2 16    -9.0    -9.9    -9.9 1
-1969  2 17    -5.0    -5.9    -5.9 1
-1969  2 18    -4.7    -5.6    -5.6 1
-1969  2 19    -6.0    -6.9    -6.9 1
-1969  2 20    -6.1    -7.0    -7.0 1
-1969  2 21    -6.3    -7.2    -7.2 1
-1969  2 22    -1.1    -2.0    -2.0 1
-1969  2 23    -0.1    -1.0    -1.0 1
-1969  2 24    -2.9    -3.8    -3.8 1
-1969  2 25    -6.2    -7.1    -7.1 1
-1969  2 26    -7.0    -7.9    -7.9 1
-1969  2 27    -4.6    -5.5    -5.5 1
-1969  2 28    -3.6    -4.5    -4.5 1
-1969  3  1    -3.8    -4.7    -4.7 1
-1969  3  2    -6.6    -7.5    -7.5 1
-1969  3  3    -3.8    -4.7    -4.7 1
-1969  3  4    -4.7    -5.6    -5.6 1
-1969  3  5    -3.1    -4.0    -4.0 1
-1969  3  6     2.0     1.1     1.1 1
-1969  3  7    -2.1    -3.0    -3.0 1
-1969  3  8    -4.5    -5.4    -5.4 1
-1969  3  9    -3.4    -4.3    -4.3 1
-1969  3 10    -4.5    -5.4    -5.4 1
-1969  3 11    -3.5    -4.4    -4.4 1
-1969  3 12    -5.4    -6.3    -6.3 1
-1969  3 13    -5.2    -6.2    -6.2 1
-1969  3 14    -6.3    -7.3    -7.3 1
-1969  3 15    -5.7    -6.7    -6.7 1
-1969  3 16    -5.9    -6.9    -6.9 1
-1969  3 17    -5.6    -6.5    -6.5 1
-1969  3 18    -3.4    -4.3    -4.3 1
-1969  3 19    -3.0    -3.9    -3.9 1
-1969  3 20    -5.2    -6.1    -6.1 1
-1969  3 21    -4.6    -5.5    -5.5 1
-1969  3 22    -3.9    -4.8    -4.8 1
-1969  3 23    -1.8    -2.7    -2.7 1
-1969  3 24    -1.3    -2.2    -2.2 1
-1969  3 25    -2.8    -3.7    -3.7 1
-1969  3 26    -1.3    -2.2    -2.2 1
-1969  3 27    -1.1    -2.0    -2.0 1
-1969  3 28     1.1     0.2     0.2 1
-1969  3 29     1.1     0.2     0.2 1
-1969  3 30     2.1     1.2     1.2 1
-1969  3 31     1.4     0.5     0.5 1
-1969  4  1    -0.1    -1.0    -1.0 1
-1969  4  2    -0.3    -1.2    -1.2 1
-1969  4  3     2.5     1.6     1.6 1
-1969  4  4     8.1     7.2     7.2 1
-1969  4  5     6.6     5.7     5.7 1
-1969  4  6     8.3     7.5     7.5 1
-1969  4  7     6.0     5.2     5.2 1
-1969  4  8     4.4     3.6     3.6 1
-1969  4  9     9.4     8.6     8.6 1
-1969  4 10     9.5     8.7     8.7 1
-1969  4 11     5.6     4.8     4.8 1
-1969  4 12     3.0     2.2     2.2 1
-1969  4 13     3.1     2.3     2.3 1
-1969  4 14     3.2     2.4     2.4 1
-1969  4 15     4.0     3.2     3.2 1
-1969  4 16     1.1     0.3     0.3 1
-1969  4 17     0.0    -0.8    -0.8 1
-1969  4 18    -0.2    -1.1    -1.1 1
-1969  4 19     1.7     0.8     0.8 1
-1969  4 20     3.3     2.4     2.4 1
-1969  4 21     4.8     3.9     3.9 1
-1969  4 22     3.6     2.7     2.7 1
-1969  4 23     6.1     5.1     5.1 1
-1969  4 24     5.5     4.5     4.5 1
-1969  4 25     6.7     5.7     5.7 1
-1969  4 26     8.8     7.8     7.8 1
-1969  4 27     6.7     5.7     5.7 1
-1969  4 28     9.7     8.7     8.7 1
-1969  4 29     8.0     6.9     6.9 1
-1969  4 30     5.8     4.7     4.7 1
-1969  5  1     3.3     2.2     2.2 1
-1969  5  2     3.4     2.3     2.3 1
-1969  5  3     3.3     2.2     2.2 1
-1969  5  4     4.2     3.0     3.0 1
-1969  5  5     5.8     4.6     4.6 1
-1969  5  6     9.8     8.6     8.6 1
-1969  5  7    10.4     9.2     9.2 1
-1969  5  8    10.2     9.0     9.0 1
-1969  5  9    10.6     9.3     9.3 1
-1969  5 10    13.0    11.7    11.7 1
-1969  5 11    12.6    11.3    11.3 1
-1969  5 12    10.3     9.0     9.0 1
-1969  5 13    10.0     8.7     8.7 1
-1969  5 14     7.8     6.4     6.4 1
-1969  5 15     9.4     8.0     8.0 1
-1969  5 16    11.3     9.9     9.9 1
-1969  5 17     7.2     5.8     5.8 1
-1969  5 18     9.1     7.8     7.8 1
-1969  5 19     6.5     5.2     5.2 1
-1969  5 20     7.8     6.5     6.5 1
-1969  5 21     6.8     5.5     5.5 1
-1969  5 22     7.8     6.5     6.5 1
-1969  5 23    10.9     9.6     9.6 1
-1969  5 24    10.2     8.9     8.9 1
-1969  5 25     9.9     8.6     8.6 1
-1969  5 26    12.2    10.9    10.9 1
-1969  5 27    13.9    12.6    12.6 1
-1969  5 28    13.4    12.1    12.1 1
-1969  5 29    18.4    17.2    17.2 1
-1969  5 30    12.5    11.3    11.3 1
-1969  5 31     8.5     7.3     7.3 1
-1969  6  1     8.6     7.4     7.4 1
-1969  6  2     9.4     8.2     8.2 1
-1969  6  3     6.6     5.4     5.4 1
-1969  6  4     7.0     5.8     5.8 1
-1969  6  5     9.0     7.8     7.8 1
-1969  6  6    12.3    11.1    11.1 1
-1969  6  7    15.0    13.8    13.8 1
-1969  6  8    15.6    14.4    14.4 1
-1969  6  9    16.0    14.9    14.9 1
-1969  6 10    18.4    17.3    17.3 1
-1969  6 11    17.6    16.5    16.5 1
-1969  6 12    17.6    16.5    16.5 1
-1969  6 13    19.1    18.0    18.0 1
-1969  6 14    21.0    19.9    19.9 1
-1969  6 15    18.3    17.2    17.2 1
-1969  6 16    18.7    17.6    17.6 1
-1969  6 17    20.2    19.1    19.1 1
-1969  6 18    21.0    19.9    19.9 1
-1969  6 19    21.1    20.0    20.0 1
-1969  6 20    21.4    20.3    20.3 1
-1969  6 21    23.0    21.9    21.9 1
-1969  6 22    17.7    16.6    16.6 1
-1969  6 23    20.3    19.2    19.2 1
-1969  6 24    19.7    18.6    18.6 1
-1969  6 25    15.8    14.7    14.7 1
-1969  6 26    17.6    16.5    16.5 1
-1969  6 27    22.8    21.7    21.7 1
-1969  6 28    22.9    21.8    21.8 1
-1969  6 29    21.2    20.1    20.1 1
-1969  6 30    21.8    20.8    20.8 1
-1969  7  1    18.2    17.2    17.2 1
-1969  7  2    15.7    14.7    14.7 1
-1969  7  3    14.0    13.0    13.0 1
-1969  7  4    17.3    16.3    16.3 1
-1969  7  5    18.2    17.2    17.2 1
-1969  7  6    18.2    17.2    17.2 1
-1969  7  7    16.4    15.4    15.4 1
-1969  7  8    16.9    15.9    15.9 1
-1969  7  9    15.7    14.7    14.7 1
-1969  7 10    17.7    16.7    16.7 1
-1969  7 11    17.0    16.0    16.0 1
-1969  7 12    17.2    16.2    16.2 1
-1969  7 13    16.1    15.1    15.1 1
-1969  7 14    15.8    14.8    14.8 1
-1969  7 15    19.7    18.7    18.7 1
-1969  7 16    20.9    19.9    19.9 1
-1969  7 17    20.3    19.3    19.3 1
-1969  7 18    17.9    16.9    16.9 1
-1969  7 19    17.7    16.7    16.7 1
-1969  7 20    17.2    16.2    16.2 1
-1969  7 21    20.2    19.2    19.2 1
-1969  7 22    22.4    21.4    21.4 1
-1969  7 23    23.5    22.5    22.5 1
-1969  7 24    24.0    23.1    23.1 1
-1969  7 25    18.2    17.3    17.3 1
-1969  7 26    18.8    17.9    17.9 1
-1969  7 27    19.4    18.5    18.5 1
-1969  7 28    21.1    20.2    20.2 1
-1969  7 29    22.3    21.4    21.4 1
-1969  7 30    23.3    22.4    22.4 1
-1969  7 31    24.0    23.1    23.1 1
-1969  8  1    24.5    23.6    23.6 1
-1969  8  2    22.2    21.3    21.3 1
-1969  8  3    19.3    18.4    18.4 1
-1969  8  4    19.6    18.7    18.7 1
-1969  8  5    22.0    21.1    21.1 1
-1969  8  6    23.1    22.3    22.3 1
-1969  8  7    24.1    23.3    23.3 1
-1969  8  8    20.8    20.0    20.0 1
-1969  8  9    18.6    17.8    17.8 1
-1969  8 10    19.2    18.4    18.4 1
-1969  8 11    19.6    18.8    18.8 1
-1969  8 12    20.7    19.9    19.9 1
-1969  8 13    20.8    20.0    20.0 1
-1969  8 14    21.7    20.9    20.9 1
-1969  8 15    17.7    16.9    16.9 1
-1969  8 16    17.5    16.7    16.7 1
-1969  8 17    18.3    17.6    17.6 1
-1969  8 18    19.1    18.4    18.4 1
-1969  8 19    20.9    20.2    20.2 1
-1969  8 20    19.0    18.3    18.3 1
-1969  8 21    16.6    15.9    15.9 1
-1969  8 22    16.6    15.9    15.9 1
-1969  8 23    17.4    16.7    16.7 1
-1969  8 24    14.7    14.1    14.1 1
-1969  8 25    16.5    15.9    15.9 1
-1969  8 26    14.9    14.3    14.3 1
-1969  8 27    14.6    14.0    14.0 1
-1969  8 28    15.4    14.8    14.8 1
-1969  8 29    16.9    16.3    16.3 1
-1969  8 30    14.0    13.5    13.5 1
-1969  8 31    15.3    14.8    14.8 1
-1969  9  1    14.3    13.8    13.8 1
-1969  9  2    13.9    13.4    13.4 1
-1969  9  3    13.5    13.0    13.0 1
-1969  9  4    12.1    11.6    11.6 1
-1969  9  5    13.8    13.3    13.3 1
-1969  9  6    15.6    15.2    15.2 1
-1969  9  7    13.9    13.5    13.5 1
-1969  9  8    15.7    15.3    15.3 1
-1969  9  9    16.3    15.9    15.9 1
-1969  9 10    15.9    15.5    15.5 1
-1969  9 11    16.9    16.5    16.5 1
-1969  9 12    18.5    18.2    18.2 1
-1969  9 13    17.5    17.2    17.2 1
-1969  9 14    12.7    12.4    12.4 1
-1969  9 15    13.2    12.9    12.9 1
-1969  9 16    11.7    11.4    11.4 1
-1969  9 17    10.1     9.8     9.8 1
-1969  9 18     8.5     8.2     8.2 1
-1969  9 19     9.6     9.3     9.3 1
-1969  9 20     6.9     6.6     6.6 1
-1969  9 21     7.3     7.0     7.0 1
-1969  9 22     9.4     9.1     9.1 1
-1969  9 23     9.2     8.9     8.9 1
-1969  9 24    11.4    11.1    11.1 1
-1969  9 25    14.3    14.0    14.0 1
-1969  9 26    12.0    11.7    11.7 1
-1969  9 27    10.8    10.5    10.5 1
-1969  9 28     7.4     7.1     7.1 1
-1969  9 29     9.5     9.2     9.2 1
-1969  9 30     8.4     8.1     8.1 1
-1969 10  1     6.6     6.3     6.3 1
-1969 10  2     5.9     5.6     5.6 1
-1969 10  3     4.7     4.4     4.4 1
-1969 10  4     9.6     9.3     9.3 1
-1969 10  5     8.1     7.8     7.8 1
-1969 10  6     6.7     6.4     6.4 1
-1969 10  7     9.0     8.7     8.7 1
-1969 10  8    12.8    12.5    12.5 1
-1969 10  9    14.2    13.9    13.9 1
-1969 10 10    11.0    10.8    10.8 1
-1969 10 11     8.7     8.5     8.5 1
-1969 10 12     8.3     8.1     8.1 1
-1969 10 13     7.7     7.5     7.5 1
-1969 10 14     9.1     8.9     8.9 1
-1969 10 15     9.5     9.3     9.3 1
-1969 10 16    12.4    12.2    12.2 1
-1969 10 17    13.0    12.7    12.7 1
-1969 10 18    10.9    10.6    10.6 1
-1969 10 19     9.1     8.8     8.8 1
-1969 10 20     6.4     6.1     6.1 1
-1969 10 21     7.6     7.3     7.3 1
-1969 10 22     5.8     5.5     5.5 1
-1969 10 23     3.5     3.2     3.2 1
-1969 10 24     6.8     6.5     6.5 1
-1969 10 25     8.3     8.0     8.0 1
-1969 10 26     9.3     9.0     9.0 1
-1969 10 27     6.0     5.7     5.7 1
-1969 10 28     4.5     4.2     4.2 1
-1969 10 29     5.9     5.6     5.6 1
-1969 10 30     3.5     3.1     3.1 1
-1969 10 31     2.5     2.1     2.1 1
-1969 11  1     4.6     4.2     4.2 1
-1969 11  2     2.4     2.0     2.0 1
-1969 11  3     2.9     2.5     2.5 1
-1969 11  4     1.6     1.2     1.2 1
-1969 11  5    -1.4    -1.8    -1.8 1
-1969 11  6    -0.3    -0.7    -0.7 1
-1969 11  7     4.7     4.3     4.3 1
-1969 11  8     4.5     4.1     4.1 1
-1969 11  9     5.4     5.0     5.0 1
-1969 11 10     5.9     5.5     5.5 1
-1969 11 11     4.0     3.6     3.6 1
-1969 11 12     8.2     7.8     7.8 1
-1969 11 13     6.4     5.9     5.9 1
-1969 11 14     4.5     4.0     4.0 1
-1969 11 15     5.1     4.6     4.6 1
-1969 11 16     5.2     4.7     4.7 1
-1969 11 17     5.2     4.7     4.7 1
-1969 11 18     5.2     4.7     4.7 1
-1969 11 19     2.1     1.6     1.6 1
-1969 11 20     1.6     1.1     1.1 1
-1969 11 21     0.0    -0.5    -0.5 1
-1969 11 22    -0.8    -1.3    -1.3 1
-1969 11 23    -0.3    -0.8    -0.8 1
-1969 11 24    -6.6    -7.1    -7.1 1
-1969 11 25    -6.2    -6.7    -6.7 1
-1969 11 26    -7.8    -8.3    -8.3 1
-1969 11 27    -4.4    -4.9    -4.9 1
-1969 11 28    -0.4    -0.9    -0.9 1
-1969 11 29    -1.8    -2.3    -2.3 1
-1969 11 30    -5.6    -6.1    -6.1 1
-1969 12  1    -4.4    -4.9    -4.9 1
-1969 12  2     0.6     0.1     0.1 1
-1969 12  3    -3.0    -3.5    -3.5 1
-1969 12  4    -9.2    -9.7    -9.7 1
-1969 12  5    -7.0    -7.5    -7.5 1
-1969 12  6   -10.3   -10.9   -10.9 1
-1969 12  7   -12.7   -13.3   -13.3 1
-1969 12  8    -4.6    -5.2    -5.2 1
-1969 12  9    -1.9    -2.5    -2.5 1
-1969 12 10     0.9     0.3     0.3 1
-1969 12 11    -1.6    -2.2    -2.2 1
-1969 12 12     0.0    -0.6    -0.6 1
-1969 12 13     0.7     0.1     0.1 1
-1969 12 14    -0.2    -0.8    -0.8 1
-1969 12 15    -0.9    -1.5    -1.5 1
-1969 12 16    -1.4    -2.0    -2.0 1
-1969 12 17    -2.7    -3.3    -3.3 1
-1969 12 18    -3.4    -4.0    -4.0 1
-1969 12 19    -4.9    -5.5    -5.5 1
-1969 12 20    -6.8    -7.4    -7.4 1
-1969 12 21    -9.8   -10.4   -10.4 1
-1969 12 22    -4.4    -5.0    -5.0 1
-1969 12 23    -1.7    -2.3    -2.3 1
-1969 12 24    -1.6    -2.2    -2.2 1
-1969 12 25    -1.5    -2.2    -2.2 1
-1969 12 26    -1.3    -2.0    -2.0 1
-1969 12 27    -0.3    -1.0    -1.0 1
-1969 12 28     1.0     0.3     0.3 1
-1969 12 29    -1.7    -2.4    -2.4 1
-1969 12 30    -4.8    -5.5    -5.5 1
-1969 12 31    -6.4    -7.1    -7.1 1
-1970  1  1    -6.0    -6.7    -6.7 1
-1970  1  2    -5.0    -5.7    -5.7 1
-1970  1  3    -8.5    -9.2    -9.2 1
-1970  1  4    -9.3   -10.0   -10.0 1
-1970  1  5   -15.6   -16.3   -16.3 1
-1970  1  6   -17.7   -18.4   -18.4 1
-1970  1  7   -15.6   -16.3   -16.3 1
-1970  1  8    -8.0    -8.7    -8.7 1
-1970  1  9    -8.2    -8.9    -8.9 1
-1970  1 10    -3.2    -3.9    -3.9 1
-1970  1 11    -1.1    -1.9    -1.9 1
-1970  1 12    -1.2    -2.0    -2.0 1
-1970  1 13    -1.3    -2.1    -2.1 1
-1970  1 14    -4.2    -5.0    -5.0 1
-1970  1 15   -10.3   -11.1   -11.1 1
-1970  1 16   -10.5   -11.3   -11.3 1
-1970  1 17    -8.1    -8.9    -8.9 1
-1970  1 18    -6.5    -7.3    -7.3 1
-1970  1 19    -7.6    -8.4    -8.4 1
-1970  1 20    -9.0    -9.8    -9.8 1
-1970  1 21    -9.8   -10.6   -10.6 1
-1970  1 22    -6.5    -7.3    -7.3 1
-1970  1 23    -3.9    -4.7    -4.7 1
-1970  1 24    -1.9    -2.7    -2.7 1
-1970  1 25    -1.9    -2.7    -2.7 1
-1970  1 26    -1.5    -2.3    -2.3 1
-1970  1 27    -2.3    -3.1    -3.1 1
-1970  1 28    -5.8    -6.6    -6.6 1
-1970  1 29    -8.7    -9.5    -9.5 1
-1970  1 30    -7.5    -8.3    -8.3 1
-1970  1 31    -6.6    -7.4    -7.4 1
-1970  2  1    -5.0    -5.8    -5.8 1
-1970  2  2    -4.6    -5.4    -5.4 1
-1970  2  3    -2.0    -2.8    -2.8 1
-1970  2  4    -7.8    -8.6    -8.6 1
-1970  2  5   -13.2   -14.0   -14.0 1
-1970  2  6    -7.8    -8.6    -8.6 1
-1970  2  7    -7.3    -8.1    -8.1 1
-1970  2  8    -1.2    -2.0    -2.0 1
-1970  2  9    -6.2    -7.0    -7.0 1
-1970  2 10   -12.0   -12.8   -12.8 1
-1970  2 11   -16.1   -16.9   -16.9 1
-1970  2 12   -12.0   -12.8   -12.8 1
-1970  2 13    -7.6    -8.4    -8.4 1
-1970  2 14   -11.1   -11.9   -11.9 1
-1970  2 15   -13.0   -13.8   -13.8 1
-1970  2 16   -15.2   -16.1   -16.1 1
-1970  2 17   -17.4   -18.3   -18.3 1
-1970  2 18   -15.6   -16.5   -16.5 1
-1970  2 19   -12.9   -13.8   -13.8 1
-1970  2 20    -7.8    -8.7    -8.7 1
-1970  2 21    -7.0    -7.9    -7.9 1
-1970  2 22    -9.4   -10.3   -10.3 1
-1970  2 23   -11.7   -12.6   -12.6 1
-1970  2 24   -11.9   -12.8   -12.8 1
-1970  2 25   -11.1   -12.0   -12.0 1
-1970  2 26    -9.6   -10.5   -10.5 1
-1970  2 27   -10.4   -11.3   -11.3 1
-1970  2 28    -8.3    -9.2    -9.2 1
-1970  3  1    -0.7    -1.6    -1.6 1
-1970  3  2    -1.7    -2.6    -2.6 1
-1970  3  3    -5.1    -6.0    -6.0 1
-1970  3  4    -1.3    -2.2    -2.2 1
-1970  3  5    -0.3    -1.2    -1.2 1
-1970  3  6     0.9     0.0     0.0 1
-1970  3  7     0.6    -0.3    -0.3 1
-1970  3  8    -0.7    -1.6    -1.6 1
-1970  3  9    -0.5    -1.4    -1.4 1
-1970  3 10    -0.2    -1.1    -1.1 1
-1970  3 11    -2.1    -3.0    -3.0 1
-1970  3 12    -0.6    -1.5    -1.5 1
-1970  3 13    -2.2    -3.2    -3.2 1
-1970  3 14    -2.3    -3.3    -3.3 1
-1970  3 15     0.2    -0.8    -0.8 1
-1970  3 16     0.1    -0.9    -0.9 1
-1970  3 17     1.3     0.4     0.4 1
-1970  3 18     3.0     2.1     2.1 1
-1970  3 19     1.7     0.8     0.8 1
-1970  3 20     0.3    -0.6    -0.6 1
-1970  3 21    -0.7    -1.6    -1.6 1
-1970  3 22    -0.8    -1.7    -1.7 1
-1970  3 23    -0.7    -1.6    -1.6 1
-1970  3 24     0.6    -0.3    -0.3 1
-1970  3 25     0.5    -0.4    -0.4 1
-1970  3 26    -0.4    -1.3    -1.3 1
-1970  3 27    -0.6    -1.5    -1.5 1
-1970  3 28    -2.5    -3.4    -3.4 1
-1970  3 29    -1.6    -2.5    -2.5 1
-1970  3 30    -2.2    -3.1    -3.1 1
-1970  3 31    -4.5    -5.4    -5.4 1
-1970  4  1    -2.7    -3.6    -3.6 1
-1970  4  2    -2.6    -3.5    -3.5 1
-1970  4  3    -1.6    -2.5    -2.5 1
-1970  4  4    -1.7    -2.6    -2.6 1
-1970  4  5     0.1    -0.8    -0.8 1
-1970  4  6     0.7    -0.1    -0.1 1
-1970  4  7     2.4     1.6     1.6 1
-1970  4  8     1.8     1.0     1.0 1
-1970  4  9     1.7     0.9     0.9 1
-1970  4 10     0.6    -0.2    -0.2 1
-1970  4 11     0.2    -0.6    -0.6 1
-1970  4 12     1.0     0.2     0.2 1
-1970  4 13     3.3     2.5     2.5 1
-1970  4 14     3.3     2.5     2.5 1
-1970  4 15     4.1     3.3     3.3 1
-1970  4 16     3.2     2.4     2.4 1
-1970  4 17     3.3     2.5     2.5 1
-1970  4 18     4.7     3.8     3.8 1
-1970  4 19     3.7     2.8     2.8 1
-1970  4 20     5.3     4.4     4.4 1
-1970  4 21     4.5     3.6     3.6 1
-1970  4 22     3.8     2.9     2.9 1
-1970  4 23     3.0     2.0     2.0 1
-1970  4 24     6.0     5.0     5.0 1
-1970  4 25     6.2     5.2     5.2 1
-1970  4 26     5.4     4.4     4.4 1
-1970  4 27     3.3     2.3     2.3 1
-1970  4 28     4.0     3.0     3.0 1
-1970  4 29     4.3     3.2     3.2 1
-1970  4 30     6.3     5.2     5.2 1
-1970  5  1     5.8     4.7     4.7 1
-1970  5  2     6.0     4.9     4.9 1
-1970  5  3     4.9     3.8     3.8 1
-1970  5  4     5.1     3.9     3.9 1
-1970  5  5     6.6     5.4     5.4 1
-1970  5  6    10.7     9.5     9.5 1
-1970  5  7     6.6     5.4     5.4 1
-1970  5  8     7.6     6.4     6.4 1
-1970  5  9    10.0     8.7     8.7 1
-1970  5 10    12.2    10.9    10.9 1
-1970  5 11    12.9    11.6    11.6 1
-1970  5 12    10.4     9.1     9.1 1
-1970  5 13    12.0    10.7    10.7 1
-1970  5 14    13.6    12.2    12.2 1
-1970  5 15     7.9     6.5     6.5 1
-1970  5 16     7.6     6.2     6.2 1
-1970  5 17    11.6    10.2    10.2 1
-1970  5 18    14.4    13.1    13.1 1
-1970  5 19    12.7    11.4    11.4 1
-1970  5 20    11.6    10.3    10.3 1
-1970  5 21     9.9     8.6     8.6 1
-1970  5 22     9.4     8.1     8.1 1
-1970  5 23     6.6     5.3     5.3 1
-1970  5 24    11.7    10.4    10.4 1
-1970  5 25    13.8    12.5    12.5 1
-1970  5 26    14.8    13.5    13.5 1
-1970  5 27    12.4    11.1    11.1 1
-1970  5 28    11.1     9.8     9.8 1
-1970  5 29    11.6    10.4    10.4 1
-1970  5 30    12.0    10.8    10.8 1
-1970  5 31    11.0     9.8     9.8 1
-1970  6  1    13.0    11.8    11.8 1
-1970  6  2    10.8     9.6     9.6 1
-1970  6  3    13.3    12.1    12.1 1
-1970  6  4    16.0    14.8    14.8 1
-1970  6  5    18.1    16.9    16.9 1
-1970  6  6    19.1    17.9    17.9 1
-1970  6  7    20.2    19.0    19.0 1
-1970  6  8    20.8    19.6    19.6 1
-1970  6  9    19.3    18.2    18.2 1
-1970  6 10    19.5    18.4    18.4 1
-1970  6 11    18.9    17.8    17.8 1
-1970  6 12     9.3     8.2     8.2 1
-1970  6 13    12.8    11.7    11.7 1
-1970  6 14    13.3    12.2    12.2 1
-1970  6 15    17.4    16.3    16.3 1
-1970  6 16    16.9    15.8    15.8 1
-1970  6 17    18.6    17.5    17.5 1
-1970  6 18    20.2    19.1    19.1 1
-1970  6 19    23.3    22.2    22.2 1
-1970  6 20    23.2    22.1    22.1 1
-1970  6 21    21.5    20.4    20.4 1
-1970  6 22    16.4    15.3    15.3 1
-1970  6 23    17.9    16.8    16.8 1
-1970  6 24    17.4    16.3    16.3 1
-1970  6 25    17.6    16.5    16.5 1
-1970  6 26    17.9    16.8    16.8 1
-1970  6 27    19.6    18.5    18.5 1
-1970  6 28    19.2    18.1    18.1 1
-1970  6 29    19.7    18.6    18.6 1
-1970  6 30    19.5    18.5    18.5 1
-1970  7  1    13.9    12.9    12.9 1
-1970  7  2    14.5    13.5    13.5 1
-1970  7  3    16.6    15.6    15.6 1
-1970  7  4    16.5    15.5    15.5 1
-1970  7  5    16.3    15.3    15.3 1
-1970  7  6    17.2    16.2    16.2 1
-1970  7  7    18.9    17.9    17.9 1
-1970  7  8    19.2    18.2    18.2 1
-1970  7  9    19.2    18.2    18.2 1
-1970  7 10    18.1    17.1    17.1 1
-1970  7 11    16.5    15.5    15.5 1
-1970  7 12    14.5    13.5    13.5 1
-1970  7 13    16.3    15.3    15.3 1
-1970  7 14    16.6    15.6    15.6 1
-1970  7 15    14.5    13.5    13.5 1
-1970  7 16    11.2    10.2    10.2 1
-1970  7 17    14.6    13.6    13.6 1
-1970  7 18    17.1    16.1    16.1 1
-1970  7 19    15.7    14.7    14.7 1
-1970  7 20    15.6    14.6    14.6 1
-1970  7 21    13.5    12.5    12.5 1
-1970  7 22    14.3    13.3    13.3 1
-1970  7 23    14.6    13.6    13.6 1
-1970  7 24    14.6    13.7    13.7 1
-1970  7 25    16.1    15.2    15.2 1
-1970  7 26    15.6    14.7    14.7 1
-1970  7 27    16.1    15.2    15.2 1
-1970  7 28    14.9    14.0    14.0 1
-1970  7 29    16.4    15.5    15.5 1
-1970  7 30    17.2    16.3    16.3 1
-1970  7 31    19.3    18.4    18.4 1
-1970  8  1    18.8    17.9    17.9 1
-1970  8  2    18.6    17.7    17.7 1
-1970  8  3    17.9    17.0    17.0 1
-1970  8  4    17.2    16.3    16.3 1
-1970  8  5    16.3    15.4    15.4 1
-1970  8  6    19.5    18.7    18.7 1
-1970  8  7    15.2    14.4    14.4 1
-1970  8  8    16.5    15.7    15.7 1
-1970  8  9    18.5    17.7    17.7 1
-1970  8 10    15.3    14.5    14.5 1
-1970  8 11    16.6    15.8    15.8 1
-1970  8 12    15.5    14.7    14.7 1
-1970  8 13    16.4    15.6    15.6 1
-1970  8 14    15.9    15.1    15.1 1
-1970  8 15    16.7    15.9    15.9 1
-1970  8 16    16.9    16.1    16.1 1
-1970  8 17    15.8    15.1    15.1 1
-1970  8 18    16.3    15.6    15.6 1
-1970  8 19    16.9    16.2    16.2 1
-1970  8 20    17.2    16.5    16.5 1
-1970  8 21    17.7    17.0    17.0 1
-1970  8 22    18.7    18.0    18.0 1
-1970  8 23    17.6    16.9    16.9 1
-1970  8 24    15.0    14.4    14.4 1
-1970  8 25    14.5    13.9    13.9 1
-1970  8 26    14.7    14.1    14.1 1
-1970  8 27    14.9    14.3    14.3 1
-1970  8 28    14.7    14.1    14.1 1
-1970  8 29    18.0    17.4    17.4 1
-1970  8 30    17.6    17.1    17.1 1
-1970  8 31    18.2    17.7    17.7 1
-1970  9  1    18.7    18.2    18.2 1
-1970  9  2    16.0    15.5    15.5 1
-1970  9  3    14.2    13.7    13.7 1
-1970  9  4    13.7    13.2    13.2 1
-1970  9  5    12.8    12.3    12.3 1
-1970  9  6    11.8    11.4    11.4 1
-1970  9  7     8.7     8.3     8.3 1
-1970  9  8    11.0    10.6    10.6 1
-1970  9  9    13.1    12.7    12.7 1
-1970  9 10    16.0    15.6    15.6 1
-1970  9 11    14.7    14.3    14.3 1
-1970  9 12    14.3    14.0    14.0 1
-1970  9 13    13.2    12.9    12.9 1
-1970  9 14    13.1    12.8    12.8 1
-1970  9 15    13.6    13.3    13.3 1
-1970  9 16    14.5    14.2    14.2 1
-1970  9 17    16.0    15.7    15.7 1
-1970  9 18    14.2    13.9    13.9 1
-1970  9 19    15.1    14.8    14.8 1
-1970  9 20    12.4    12.1    12.1 1
-1970  9 21    10.1     9.8     9.8 1
-1970  9 22     7.8     7.5     7.5 1
-1970  9 23     7.6     7.3     7.3 1
-1970  9 24     6.7     6.4     6.4 1
-1970  9 25     5.6     5.3     5.3 1
-1970  9 26     5.9     5.6     5.6 1
-1970  9 27     4.5     4.2     4.2 1
-1970  9 28     7.0     6.7     6.7 1
-1970  9 29    10.0     9.7     9.7 1
-1970  9 30    10.6    10.3    10.3 1
-1970 10  1    10.7    10.4    10.4 1
-1970 10  2     9.3     9.0     9.0 1
-1970 10  3     8.1     7.8     7.8 1
-1970 10  4     6.9     6.6     6.6 1
-1970 10  5     8.2     7.9     7.9 1
-1970 10  6    11.0    10.7    10.7 1
-1970 10  7    12.5    12.2    12.2 1
-1970 10  8    12.5    12.2    12.2 1
-1970 10  9    10.5    10.2    10.2 1
-1970 10 10    11.1    10.9    10.9 1
-1970 10 11     9.9     9.7     9.7 1
-1970 10 12     9.2     9.0     9.0 1
-1970 10 13     6.9     6.7     6.7 1
-1970 10 14     5.0     4.8     4.8 1
-1970 10 15     8.4     8.2     8.2 1
-1970 10 16    10.1     9.9     9.9 1
-1970 10 17    10.1     9.8     9.8 1
-1970 10 18     8.9     8.6     8.6 1
-1970 10 19     9.1     8.8     8.8 1
-1970 10 20     7.6     7.3     7.3 1
-1970 10 21     6.5     6.2     6.2 1
-1970 10 22     3.3     3.0     3.0 1
-1970 10 23     0.8     0.5     0.5 1
-1970 10 24     4.8     4.5     4.5 1
-1970 10 25     6.6     6.3     6.3 1
-1970 10 26     3.6     3.3     3.3 1
-1970 10 27     1.9     1.6     1.6 1
-1970 10 28     2.0     1.7     1.7 1
-1970 10 29     2.6     2.3     2.3 1
-1970 10 30     2.2     1.8     1.8 1
-1970 10 31     1.5     1.1     1.1 1
-1970 11  1     1.6     1.2     1.2 1
-1970 11  2     0.3    -0.1    -0.1 1
-1970 11  3    -1.6    -2.0    -2.0 1
-1970 11  4     1.3     0.9     0.9 1
-1970 11  5    -0.2    -0.6    -0.6 1
-1970 11  6    -4.3    -4.7    -4.7 1
-1970 11  7    -1.9    -2.3    -2.3 1
-1970 11  8    -1.5    -1.9    -1.9 1
-1970 11  9     1.7     1.3     1.3 1
-1970 11 10    -4.3    -4.7    -4.7 1
-1970 11 11    -4.6    -5.0    -5.0 1
-1970 11 12     0.9     0.5     0.5 1
-1970 11 13     2.2     1.7     1.7 1
-1970 11 14     3.8     3.3     3.3 1
-1970 11 15     2.2     1.7     1.7 1
-1970 11 16     0.7     0.2     0.2 1
-1970 11 17     0.3    -0.2    -0.2 1
-1970 11 18     1.2     0.7     0.7 1
-1970 11 19     4.6     4.1     4.1 1
-1970 11 20     5.6     5.1     5.1 1
-1970 11 21     5.0     4.5     4.5 1
-1970 11 22     4.7     4.2     4.2 1
-1970 11 23     3.9     3.4     3.4 1
-1970 11 24     4.0     3.5     3.5 1
-1970 11 25     6.9     6.4     6.4 1
-1970 11 26     1.9     1.4     1.4 1
-1970 11 27     1.5     1.0     1.0 1
-1970 11 28     1.1     0.6     0.6 1
-1970 11 29    -3.1    -3.6    -3.6 1
-1970 11 30    -4.0    -4.5    -4.5 1
-1970 12  1     0.1    -0.4    -0.4 1
-1970 12  2     2.3     1.8     1.8 1
-1970 12  3    -0.2    -0.7    -0.7 1
-1970 12  4    -2.0    -2.5    -2.5 1
-1970 12  5     1.3     0.7     0.7 1
-1970 12  6     4.3     3.7     3.7 1
-1970 12  7     3.2     2.6     2.6 1
-1970 12  8     0.4    -0.2    -0.2 1
-1970 12  9     4.8     4.2     4.2 1
-1970 12 10     6.1     5.5     5.5 1
-1970 12 11     2.2     1.6     1.6 1
-1970 12 12     1.7     1.1     1.1 1
-1970 12 13     4.1     3.5     3.5 1
-1970 12 14     2.0     1.4     1.4 1
-1970 12 15     0.3    -0.3    -0.3 1
-1970 12 16     0.3    -0.3    -0.3 1
-1970 12 17     2.4     1.8     1.8 1
-1970 12 18     2.8     2.2     2.2 1
-1970 12 19     1.4     0.8     0.8 1
-1970 12 20     5.4     4.8     4.8 1
-1970 12 21     0.2    -0.4    -0.4 1
-1970 12 22    -2.6    -3.2    -3.2 1
-1970 12 23    -4.6    -5.2    -5.2 1
-1970 12 24    -4.2    -4.8    -4.8 1
-1970 12 25    -6.4    -7.1    -7.1 1
-1970 12 26    -6.3    -7.0    -7.0 1
-1970 12 27    -3.3    -4.0    -4.0 1
-1970 12 28    -2.1    -2.8    -2.8 1
-1970 12 29    -2.8    -3.5    -3.5 1
-1970 12 30    -6.8    -7.5    -7.5 1
-1970 12 31    -9.7   -10.4   -10.4 1
-1971  1  1    -9.2    -9.9    -9.9 1
-1971  1  2    -6.5    -7.2    -7.2 1
-1971  1  3    -4.7    -5.4    -5.4 1
-1971  1  4    -0.3    -1.0    -1.0 1
-1971  1  5    -6.8    -7.5    -7.5 1
-1971  1  6   -11.6   -12.3   -12.3 1
-1971  1  7    -1.9    -2.6    -2.6 1
-1971  1  8     4.3     3.6     3.6 1
-1971  1  9     4.6     3.9     3.9 1
-1971  1 10     5.9     5.2     5.2 1
-1971  1 11     4.8     4.0     4.0 1
-1971  1 12     1.9     1.1     1.1 1
-1971  1 13     0.8     0.0     0.0 1
-1971  1 14    -0.9    -1.7    -1.7 1
-1971  1 15    -1.5    -2.3    -2.3 1
-1971  1 16    -1.5    -2.3    -2.3 1
-1971  1 17    -3.9    -4.7    -4.7 1
-1971  1 18     2.4     1.6     1.6 1
-1971  1 19     1.3     0.5     0.5 1
-1971  1 20     2.0     1.2     1.2 1
-1971  1 21     2.0     1.2     1.2 1
-1971  1 22     1.8     1.0     1.0 1
-1971  1 23     2.5     1.7     1.7 1
-1971  1 24     3.7     2.9     2.9 1
-1971  1 25     4.9     4.1     4.1 1
-1971  1 26     3.7     2.9     2.9 1
-1971  1 27     1.7     0.9     0.9 1
-1971  1 28    -2.1    -2.9    -2.9 1
-1971  1 29    -5.1    -5.9    -5.9 1
-1971  1 30    -6.3    -7.1    -7.1 1
-1971  1 31     0.2    -0.6    -0.6 1
-1971  2  1    -2.7    -3.5    -3.5 1
-1971  2  2    -4.0    -4.8    -4.8 1
-1971  2  3    -0.6    -1.4    -1.4 1
-1971  2  4     1.6     0.8     0.8 1
-1971  2  5     3.4     2.6     2.6 1
-1971  2  6     2.4     1.6     1.6 1
-1971  2  7    -0.4    -1.2    -1.2 1
-1971  2  8    -1.9    -2.7    -2.7 1
-1971  2  9    -4.8    -5.6    -5.6 1
-1971  2 10    -1.9    -2.7    -2.7 1
-1971  2 11     2.5     1.7     1.7 1
-1971  2 12     2.4     1.6     1.6 1
-1971  2 13     3.1     2.3     2.3 1
-1971  2 14     2.5     1.7     1.7 1
-1971  2 15     1.7     0.9     0.9 1
-1971  2 16     1.5     0.6     0.6 1
-1971  2 17     0.5    -0.4    -0.4 1
-1971  2 18     0.0    -0.9    -0.9 1
-1971  2 19    -0.3    -1.2    -1.2 1
-1971  2 20     0.5    -0.4    -0.4 1
-1971  2 21     1.1     0.2     0.2 1
-1971  2 22     1.1     0.2     0.2 1
-1971  2 23    -2.1    -3.0    -3.0 1
-1971  2 24     0.6    -0.3    -0.3 1
-1971  2 25   -11.9   -12.8   -12.8 1
-1971  2 26    -8.2    -9.1    -9.1 1
-1971  2 27    -8.3    -9.2    -9.2 1
-1971  2 28    -7.9    -8.8    -8.8 1
-1971  3  1    -7.7    -8.6    -8.6 1
-1971  3  2    -8.5    -9.4    -9.4 1
-1971  3  3   -10.8   -11.7   -11.7 1
-1971  3  4   -13.5   -14.4   -14.4 1
-1971  3  5    -8.6    -9.5    -9.5 1
-1971  3  6    -5.4    -6.3    -6.3 1
-1971  3  7    -0.5    -1.4    -1.4 1
-1971  3  8     2.1     1.2     1.2 1
-1971  3  9     0.0    -0.9    -0.9 1
-1971  3 10    -4.6    -5.5    -5.5 1
-1971  3 11    -3.5    -4.4    -4.4 1
-1971  3 12    -3.0    -3.9    -3.9 1
-1971  3 13    -0.8    -1.8    -1.8 1
-1971  3 14     0.4    -0.6    -0.6 1
-1971  3 15    -0.1    -1.1    -1.1 1
-1971  3 16     0.8    -0.2    -0.2 1
-1971  3 17     1.6     0.7     0.7 1
-1971  3 18     1.7     0.8     0.8 1
-1971  3 19     1.8     0.9     0.9 1
-1971  3 20     1.3     0.4     0.4 1
-1971  3 21     0.0    -0.9    -0.9 1
-1971  3 22    -2.2    -3.1    -3.1 1
-1971  3 23    -4.4    -5.3    -5.3 1
-1971  3 24    -0.3    -1.2    -1.2 1
-1971  3 25     3.6     2.7     2.7 1
-1971  3 26     3.3     2.4     2.4 1
-1971  3 27    -0.8    -1.7    -1.7 1
-1971  3 28    -1.4    -2.3    -2.3 1
-1971  3 29     1.0     0.1     0.1 1
-1971  3 30    -0.5    -1.4    -1.4 1
-1971  3 31     0.6    -0.3    -0.3 1
-1971  4  1     4.2     3.3     3.3 1
-1971  4  2     4.0     3.1     3.1 1
-1971  4  3     3.6     2.7     2.7 1
-1971  4  4    -0.7    -1.6    -1.6 1
-1971  4  5     0.1    -0.8    -0.8 1
-1971  4  6     0.9     0.1     0.1 1
-1971  4  7     2.5     1.7     1.7 1
-1971  4  8     5.6     4.8     4.8 1
-1971  4  9     3.7     2.9     2.9 1
-1971  4 10     4.2     3.4     3.4 1
-1971  4 11     6.1     5.3     5.3 1
-1971  4 12     5.8     5.0     5.0 1
-1971  4 13     2.7     1.9     1.9 1
-1971  4 14     2.3     1.5     1.5 1
-1971  4 15     3.0     2.2     2.2 1
-1971  4 16     4.6     3.8     3.8 1
-1971  4 17     5.2     4.4     4.4 1
-1971  4 18     6.5     5.6     5.6 1
-1971  4 19     9.0     8.1     8.1 1
-1971  4 20     9.8     8.9     8.9 1
-1971  4 21     7.6     6.7     6.7 1
-1971  4 22     3.3     2.4     2.4 1
-1971  4 23     2.1     1.1     1.1 1
-1971  4 24     0.5    -0.5    -0.5 1
-1971  4 25    -0.3    -1.3    -1.3 1
-1971  4 26     0.1    -0.9    -0.9 1
-1971  4 27     2.2     1.2     1.2 1
-1971  4 28     3.6     2.6     2.6 1
-1971  4 29     1.2     0.1     0.1 1
-1971  4 30     3.3     2.2     2.2 1
-1971  5  1     6.4     5.3     5.3 1
-1971  5  2     9.9     8.8     8.8 1
-1971  5  3     8.5     7.4     7.4 1
-1971  5  4     7.4     6.2     6.2 1
-1971  5  5     9.4     8.2     8.2 1
-1971  5  6    12.2    11.0    11.0 1
-1971  5  7    14.7    13.5    13.5 1
-1971  5  8    13.2    12.0    12.0 1
-1971  5  9    14.2    12.9    12.9 1
-1971  5 10    15.8    14.5    14.5 1
-1971  5 11    16.2    14.9    14.9 1
-1971  5 12    14.2    12.9    12.9 1
-1971  5 13    14.0    12.7    12.7 1
-1971  5 14    11.9    10.5    10.5 1
-1971  5 15    12.4    11.0    11.0 1
-1971  5 16    12.4    11.0    11.0 1
-1971  5 17    16.2    14.8    14.8 1
-1971  5 18    17.5    16.2    16.2 1
-1971  5 19    14.6    13.3    13.3 1
-1971  5 20    13.5    12.2    12.2 1
-1971  5 21     7.7     6.4     6.4 1
-1971  5 22     5.8     4.5     4.5 1
-1971  5 23     4.0     2.7     2.7 1
-1971  5 24     3.6     2.3     2.3 1
-1971  5 25     4.2     2.9     2.9 1
-1971  5 26     6.1     4.8     4.8 1
-1971  5 27    10.4     9.1     9.1 1
-1971  5 28    12.6    11.3    11.3 1
-1971  5 29    16.6    15.4    15.4 1
-1971  5 30    19.3    18.1    18.1 1
-1971  5 31    18.3    17.1    17.1 1
-1971  6  1    18.6    17.4    17.4 1
-1971  6  2    21.2    20.0    20.0 1
-1971  6  3    18.9    17.7    17.7 1
-1971  6  4    16.4    15.2    15.2 1
-1971  6  5    13.5    12.3    12.3 1
-1971  6  6    13.8    12.6    12.6 1
-1971  6  7    16.2    15.0    15.0 1
-1971  6  8    12.2    11.0    11.0 1
-1971  6  9    10.1     9.0     9.0 1
-1971  6 10    11.7    10.6    10.6 1
-1971  6 11    12.9    11.8    11.8 1
-1971  6 12    12.5    11.4    11.4 1
-1971  6 13    13.4    12.3    12.3 1
-1971  6 14    15.5    14.4    14.4 1
-1971  6 15    14.7    13.6    13.6 1
-1971  6 16    11.2    10.1    10.1 1
-1971  6 17    13.7    12.6    12.6 1
-1971  6 18    13.0    11.9    11.9 1
-1971  6 19    13.1    12.0    12.0 1
-1971  6 20    13.2    12.1    12.1 1
-1971  6 21    16.3    15.2    15.2 1
-1971  6 22    15.6    14.5    14.5 1
-1971  6 23    16.0    14.9    14.9 1
-1971  6 24    15.4    14.3    14.3 1
-1971  6 25    14.0    12.9    12.9 1
-1971  6 26    16.0    14.9    14.9 1
-1971  6 27    17.9    16.8    16.8 1
-1971  6 28    15.4    14.3    14.3 1
-1971  6 29    16.1    15.0    15.0 1
-1971  6 30    18.3    17.3    17.3 1
-1971  7  1    16.2    15.2    15.2 1
-1971  7  2    17.5    16.5    16.5 1
-1971  7  3    20.5    19.5    19.5 1
-1971  7  4    20.1    19.1    19.1 1
-1971  7  5    22.0    21.0    21.0 1
-1971  7  6    19.9    18.9    18.9 1
-1971  7  7    21.1    20.1    20.1 1
-1971  7  8    21.5    20.5    20.5 1
-1971  7  9    20.7    19.7    19.7 1
-1971  7 10    18.9    17.9    17.9 1
-1971  7 11    20.8    19.8    19.8 1
-1971  7 12    20.5    19.5    19.5 1
-1971  7 13    14.2    13.2    13.2 1
-1971  7 14    14.0    13.0    13.0 1
-1971  7 15    13.6    12.6    12.6 1
-1971  7 16    13.5    12.5    12.5 1
-1971  7 17    12.4    11.4    11.4 1
-1971  7 18    14.3    13.3    13.3 1
-1971  7 19    14.7    13.7    13.7 1
-1971  7 20    13.7    12.7    12.7 1
-1971  7 21    14.1    13.1    13.1 1
-1971  7 22    14.8    13.8    13.8 1
-1971  7 23    16.8    15.8    15.8 1
-1971  7 24    17.7    16.8    16.8 1
-1971  7 25    20.2    19.3    19.3 1
-1971  7 26    19.7    18.8    18.8 1
-1971  7 27    19.5    18.6    18.6 1
-1971  7 28    19.0    18.1    18.1 1
-1971  7 29    19.0    18.1    18.1 1
-1971  7 30    18.5    17.6    17.6 1
-1971  7 31    19.0    18.1    18.1 1
-1971  8  1    18.1    17.2    17.2 1
-1971  8  2    20.1    19.2    19.2 1
-1971  8  3    21.0    20.1    20.1 1
-1971  8  4    20.4    19.5    19.5 1
-1971  8  5    20.5    19.6    19.6 1
-1971  8  6    20.2    19.4    19.4 1
-1971  8  7    18.1    17.3    17.3 1
-1971  8  8    15.5    14.7    14.7 1
-1971  8  9    16.1    15.3    15.3 1
-1971  8 10    16.8    16.0    16.0 1
-1971  8 11    15.7    14.9    14.9 1
-1971  8 12    14.1    13.3    13.3 1
-1971  8 13    15.8    15.0    15.0 1
-1971  8 14    15.7    14.9    14.9 1
-1971  8 15    14.7    13.9    13.9 1
-1971  8 16    14.7    13.9    13.9 1
-1971  8 17    15.1    14.4    14.4 1
-1971  8 18    16.0    15.3    15.3 1
-1971  8 19    17.6    16.9    16.9 1
-1971  8 20    19.0    18.3    18.3 1
-1971  8 21    17.7    17.0    17.0 1
-1971  8 22    13.2    12.5    12.5 1
-1971  8 23    12.8    12.1    12.1 1
-1971  8 24    15.4    14.8    14.8 1
-1971  8 25    17.2    16.6    16.6 1
-1971  8 26    16.9    16.3    16.3 1
-1971  8 27    14.7    14.1    14.1 1
-1971  8 28    14.4    13.8    13.8 1
-1971  8 29    13.6    13.0    13.0 1
-1971  8 30    13.1    12.6    12.6 1
-1971  8 31    13.6    13.1    13.1 1
-1971  9  1    13.3    12.8    12.8 1
-1971  9  2    15.1    14.6    14.6 1
-1971  9  3    14.9    14.4    14.4 1
-1971  9  4    13.3    12.8    12.8 1
-1971  9  5    11.4    10.9    10.9 1
-1971  9  6    11.3    10.9    10.9 1
-1971  9  7    13.0    12.6    12.6 1
-1971  9  8    12.1    11.7    11.7 1
-1971  9  9    12.2    11.8    11.8 1
-1971  9 10    12.2    11.8    11.8 1
-1971  9 11    11.8    11.4    11.4 1
-1971  9 12    10.3    10.0    10.0 1
-1971  9 13     7.7     7.4     7.4 1
-1971  9 14     5.5     5.2     5.2 1
-1971  9 15     7.5     7.2     7.2 1
-1971  9 16     7.5     7.2     7.2 1
-1971  9 17     9.8     9.5     9.5 1
-1971  9 18    10.7    10.4    10.4 1
-1971  9 19    11.7    11.4    11.4 1
-1971  9 20    12.3    12.0    12.0 1
-1971  9 21    12.4    12.1    12.1 1
-1971  9 22    14.7    14.4    14.4 1
-1971  9 23    12.1    11.8    11.8 1
-1971  9 24    12.4    12.1    12.1 1
-1971  9 25    10.5    10.2    10.2 1
-1971  9 26     8.5     8.2     8.2 1
-1971  9 27     7.8     7.5     7.5 1
-1971  9 28     9.0     8.7     8.7 1
-1971  9 29     9.6     9.3     9.3 1
-1971  9 30    10.3    10.0    10.0 1
-1971 10  1    12.8    12.5    12.5 1
-1971 10  2    11.3    11.0    11.0 1
-1971 10  3     8.2     7.9     7.9 1
-1971 10  4     5.5     5.2     5.2 1
-1971 10  5     5.1     4.8     4.8 1
-1971 10  6    10.0     9.7     9.7 1
-1971 10  7    13.9    13.6    13.6 1
-1971 10  8     9.3     9.0     9.0 1
-1971 10  9     9.4     9.1     9.1 1
-1971 10 10     8.2     8.0     8.0 1
-1971 10 11    14.6    14.4    14.4 1
-1971 10 12    10.7    10.5    10.5 1
-1971 10 13     3.9     3.7     3.7 1
-1971 10 14     2.9     2.7     2.7 1
-1971 10 15     3.0     2.8     2.8 1
-1971 10 16     4.9     4.7     4.7 1
-1971 10 17     6.5     6.2     6.2 1
-1971 10 18     7.5     7.2     7.2 1
-1971 10 19     9.6     9.3     9.3 1
-1971 10 20    10.6    10.3    10.3 1
-1971 10 21     8.7     8.4     8.4 1
-1971 10 22     6.8     6.5     6.5 1
-1971 10 23     3.4     3.1     3.1 1
-1971 10 24     6.0     5.7     5.7 1
-1971 10 25     6.3     6.0     6.0 1
-1971 10 26     6.4     6.1     6.1 1
-1971 10 27     6.5     6.2     6.2 1
-1971 10 28     9.2     8.9     8.9 1
-1971 10 29     4.9     4.6     4.6 1
-1971 10 30     6.5     6.1     6.1 1
-1971 10 31     5.7     5.3     5.3 1
-1971 11  1     7.0     6.6     6.6 1
-1971 11  2    10.6    10.2    10.2 1
-1971 11  3    10.1     9.7     9.7 1
-1971 11  4     5.5     5.1     5.1 1
-1971 11  5     1.8     1.4     1.4 1
-1971 11  6     0.4     0.0     0.0 1
-1971 11  7    -2.3    -2.7    -2.7 1
-1971 11  8     3.4     3.0     3.0 1
-1971 11  9    -2.2    -2.6    -2.6 1
-1971 11 10    -3.0    -3.4    -3.4 1
-1971 11 11     4.6     4.2     4.2 1
-1971 11 12     0.9     0.5     0.5 1
-1971 11 13     0.1    -0.4    -0.4 1
-1971 11 14     2.1     1.6     1.6 1
-1971 11 15     4.3     3.8     3.8 1
-1971 11 16     5.1     4.6     4.6 1
-1971 11 17    -1.7    -2.2    -2.2 1
-1971 11 18    -5.7    -6.2    -6.2 1
-1971 11 19    -6.9    -7.4    -7.4 1
-1971 11 20    -6.7    -7.2    -7.2 1
-1971 11 21    -0.1    -0.6    -0.6 1
-1971 11 22    -1.1    -1.6    -1.6 1
-1971 11 23    -1.4    -1.9    -1.9 1
-1971 11 24    -5.4    -5.9    -5.9 1
-1971 11 25    -0.8    -1.3    -1.3 1
-1971 11 26     1.7     1.2     1.2 1
-1971 11 27     5.6     5.1     5.1 1
-1971 11 28     5.6     5.1     5.1 1
-1971 11 29     3.8     3.3     3.3 1
-1971 11 30     2.8     2.3     2.3 1
-1971 12  1     3.0     2.5     2.5 1
-1971 12  2     2.0     1.5     1.5 1
-1971 12  3    -1.0    -1.5    -1.5 1
-1971 12  4     3.0     2.5     2.5 1
-1971 12  5     3.1     2.6     2.6 1
-1971 12  6     4.0     3.4     3.4 1
-1971 12  7     4.6     4.0     4.0 1
-1971 12  8    -3.0    -3.6    -3.6 1
-1971 12  9    -1.9    -2.5    -2.5 1
-1971 12 10    -0.9    -1.5    -1.5 1
-1971 12 11    -0.8    -1.4    -1.4 1
-1971 12 12    -1.5    -2.1    -2.1 1
-1971 12 13    -2.1    -2.7    -2.7 1
-1971 12 14     1.5     0.9     0.9 1
-1971 12 15     2.4     1.8     1.8 1
-1971 12 16     5.1     4.5     4.5 1
-1971 12 17     4.5     3.9     3.9 1
-1971 12 18     4.9     4.3     4.3 1
-1971 12 19     1.6     1.0     1.0 1
-1971 12 20     1.9     1.3     1.3 1
-1971 12 21     6.3     5.7     5.7 1
-1971 12 22     3.2     2.6     2.6 1
-1971 12 23     0.6     0.0     0.0 1
-1971 12 24     4.8     4.2     4.2 1
-1971 12 25     4.0     3.3     3.3 1
-1971 12 26     6.6     5.9     5.9 1
-1971 12 27     3.7     3.0     3.0 1
-1971 12 28     0.2    -0.5    -0.5 1
-1971 12 29    -1.3    -2.0    -2.0 1
-1971 12 30    -3.7    -4.4    -4.4 1
-1971 12 31    -3.2    -3.9    -3.9 1
-1972  1  1    -4.0    -4.7    -4.7 1
-1972  1  2    -3.0    -3.7    -3.7 1
-1972  1  3    -0.4    -1.1    -1.1 1
-1972  1  4    -0.8    -1.5    -1.5 1
-1972  1  5    -1.4    -2.1    -2.1 1
-1972  1  6    -3.1    -3.8    -3.8 1
-1972  1  7    -5.6    -6.3    -6.3 1
-1972  1  8    -3.6    -4.3    -4.3 1
-1972  1  9    -2.9    -3.6    -3.6 1
-1972  1 10    -5.4    -6.1    -6.1 1
-1972  1 11    -6.3    -7.1    -7.1 1
-1972  1 12    -3.9    -4.7    -4.7 1
-1972  1 13    -2.2    -3.0    -3.0 1
-1972  1 14    -1.6    -2.4    -2.4 1
-1972  1 15    -3.1    -3.9    -3.9 1
-1972  1 16    -3.7    -4.5    -4.5 1
-1972  1 17    -4.1    -4.9    -4.9 1
-1972  1 18    -4.8    -5.6    -5.6 1
-1972  1 19    -5.4    -6.2    -6.2 1
-1972  1 20     0.5    -0.3    -0.3 1
-1972  1 21     1.1     0.3     0.3 1
-1972  1 22     1.1     0.3     0.3 1
-1972  1 23     2.4     1.6     1.6 1
-1972  1 24    -0.1    -0.9    -0.9 1
-1972  1 25    -1.3    -2.1    -2.1 1
-1972  1 26    -2.2    -3.0    -3.0 1
-1972  1 27    -4.4    -5.2    -5.2 1
-1972  1 28    -7.0    -7.8    -7.8 1
-1972  1 29   -10.0   -10.8   -10.8 1
-1972  1 30    -5.3    -6.1    -6.1 1
-1972  1 31    -3.3    -4.1    -4.1 1
-1972  2  1    -3.1    -3.9    -3.9 1
-1972  2  2    -2.4    -3.2    -3.2 1
-1972  2  3    -1.0    -1.8    -1.8 1
-1972  2  4    -0.4    -1.2    -1.2 1
-1972  2  5    -2.8    -3.6    -3.6 1
-1972  2  6    -1.5    -2.3    -2.3 1
-1972  2  7     0.2    -0.6    -0.6 1
-1972  2  8     1.2     0.4     0.4 1
-1972  2  9    -2.3    -3.1    -3.1 1
-1972  2 10    -0.5    -1.3    -1.3 1
-1972  2 11     0.0    -0.8    -0.8 1
-1972  2 12     0.3    -0.5    -0.5 1
-1972  2 13     1.4     0.6     0.6 1
-1972  2 14     1.4     0.6     0.6 1
-1972  2 15     1.6     0.8     0.8 1
-1972  2 16     1.3     0.4     0.4 1
-1972  2 17     1.3     0.4     0.4 1
-1972  2 18     0.2    -0.7    -0.7 1
-1972  2 19     0.0    -0.9    -0.9 1
-1972  2 20    -0.9    -1.8    -1.8 1
-1972  2 21     0.3    -0.6    -0.6 1
-1972  2 22     1.0     0.1     0.1 1
-1972  2 23    -0.5    -1.4    -1.4 1
-1972  2 24     0.5    -0.4    -0.4 1
-1972  2 25     0.5    -0.4    -0.4 1
-1972  2 26     0.9     0.0     0.0 1
-1972  2 27    -0.4    -1.3    -1.3 1
-1972  2 28    -0.4    -1.3    -1.3 1
-1972  2 29    -1.3    -2.2    -2.2 1
-1972  3  1    -2.4    -3.3    -3.3 1
-1972  3  2    -2.3    -3.2    -3.2 1
-1972  3  3    -1.5    -2.4    -2.4 1
-1972  3  4     0.3    -0.6    -0.6 1
-1972  3  5     0.0    -0.9    -0.9 1
-1972  3  6    -0.4    -1.3    -1.3 1
-1972  3  7    -0.7    -1.6    -1.6 1
-1972  3  8    -1.3    -2.2    -2.2 1
-1972  3  9    -2.8    -3.7    -3.7 1
-1972  3 10    -6.2    -7.1    -7.1 1
-1972  3 11    -5.8    -6.7    -6.7 1
-1972  3 12    -0.5    -1.4    -1.4 1
-1972  3 13     3.7     2.7     2.7 1
-1972  3 14     2.8     1.8     1.8 1
-1972  3 15     1.8     0.8     0.8 1
-1972  3 16     3.3     2.3     2.3 1
-1972  3 17     4.5     3.6     3.6 1
-1972  3 18     2.7     1.8     1.8 1
-1972  3 19     3.1     2.2     2.2 1
-1972  3 20     3.8     2.9     2.9 1
-1972  3 21     5.7     4.8     4.8 1
-1972  3 22     6.6     5.7     5.7 1
-1972  3 23     3.3     2.4     2.4 1
-1972  3 24     3.7     2.8     2.8 1
-1972  3 25     1.7     0.8     0.8 1
-1972  3 26     0.7    -0.2    -0.2 1
-1972  3 27     3.8     2.9     2.9 1
-1972  3 28     1.6     0.7     0.7 1
-1972  3 29     1.6     0.7     0.7 1
-1972  3 30     1.2     0.3     0.3 1
-1972  3 31     2.0     1.1     1.1 1
-1972  4  1    -0.1    -1.0    -1.0 1
-1972  4  2     1.7     0.8     0.8 1
-1972  4  3     1.8     0.9     0.9 1
-1972  4  4     2.0     1.1     1.1 1
-1972  4  5     1.6     0.7     0.7 1
-1972  4  6     6.5     5.7     5.7 1
-1972  4  7     3.1     2.3     2.3 1
-1972  4  8     2.1     1.3     1.3 1
-1972  4  9     3.1     2.3     2.3 1
-1972  4 10     3.3     2.5     2.5 1
-1972  4 11     4.7     3.9     3.9 1
-1972  4 12     6.2     5.4     5.4 1
-1972  4 13     5.4     4.6     4.6 1
-1972  4 14     6.0     5.2     5.2 1
-1972  4 15     6.2     5.4     5.4 1
-1972  4 16     4.3     3.5     3.5 1
-1972  4 17     5.8     5.0     5.0 1
-1972  4 18     2.7     1.8     1.8 1
-1972  4 19     4.2     3.3     3.3 1
-1972  4 20     6.5     5.6     5.6 1
-1972  4 21     6.3     5.4     5.4 1
-1972  4 22     6.6     5.7     5.7 1
-1972  4 23     3.8     2.8     2.8 1
-1972  4 24    -0.2    -1.2    -1.2 1
-1972  4 25     1.9     0.9     0.9 1
-1972  4 26     7.6     6.6     6.6 1
-1972  4 27     2.0     1.0     1.0 1
-1972  4 28     3.1     2.1     2.1 1
-1972  4 29     4.7     3.6     3.6 1
-1972  4 30     7.3     6.2     6.2 1
-1972  5  1    13.2    12.1    12.1 1
-1972  5  2    14.0    12.9    12.9 1
-1972  5  3    13.0    11.9    11.9 1
-1972  5  4    12.6    11.4    11.4 1
-1972  5  5    10.7     9.5     9.5 1
-1972  5  6     8.3     7.1     7.1 1
-1972  5  7     9.6     8.4     8.4 1
-1972  5  8     7.5     6.3     6.3 1
-1972  5  9     6.0     4.7     4.7 1
-1972  5 10     6.3     5.0     5.0 1
-1972  5 11     7.5     6.2     6.2 1
-1972  5 12    10.6     9.3     9.3 1
-1972  5 13     6.2     4.9     4.9 1
-1972  5 14     6.8     5.4     5.4 1
-1972  5 15     6.0     4.6     4.6 1
-1972  5 16     8.8     7.4     7.4 1
-1972  5 17     9.2     7.8     7.8 1
-1972  5 18     8.2     6.9     6.9 1
-1972  5 19     8.4     7.1     7.1 1
-1972  5 20    10.7     9.4     9.4 1
-1972  5 21    11.3    10.0    10.0 1
-1972  5 22     8.4     7.1     7.1 1
-1972  5 23    13.4    12.1    12.1 1
-1972  5 24    15.9    14.6    14.6 1
-1972  5 25    11.2     9.9     9.9 1
-1972  5 26     9.2     7.9     7.9 1
-1972  5 27    10.3     9.0     9.0 1
-1972  5 28    12.2    10.9    10.9 1
-1972  5 29    12.0    10.8    10.8 1
-1972  5 30    11.5    10.3    10.3 1
-1972  5 31    11.6    10.4    10.4 1
-1972  6  1     9.9     8.7     8.7 1
-1972  6  2    10.4     9.2     9.2 1
-1972  6  3    13.3    12.1    12.1 1
-1972  6  4    13.9    12.7    12.7 1
-1972  6  5    17.4    16.2    16.2 1
-1972  6  6    19.3    18.1    18.1 1
-1972  6  7    19.8    18.6    18.6 1
-1972  6  8    17.6    16.4    16.4 1
-1972  6  9    16.0    14.9    14.9 1
-1972  6 10    15.8    14.7    14.7 1
-1972  6 11    14.6    13.5    13.5 1
-1972  6 12    17.2    16.1    16.1 1
-1972  6 13    17.5    16.4    16.4 1
-1972  6 14    17.1    16.0    16.0 1
-1972  6 15    14.8    13.7    13.7 1
-1972  6 16    15.6    14.5    14.5 1
-1972  6 17    18.9    17.8    17.8 1
-1972  6 18    17.1    16.0    16.0 1
-1972  6 19    15.7    14.6    14.6 1
-1972  6 20    14.1    13.0    13.0 1
-1972  6 21    14.1    13.0    13.0 1
-1972  6 22    13.9    12.8    12.8 1
-1972  6 23    12.6    11.5    11.5 1
-1972  6 24    13.7    12.6    12.6 1
-1972  6 25    16.3    15.2    15.2 1
-1972  6 26    18.6    17.5    17.5 1
-1972  6 27    21.7    20.6    20.6 1
-1972  6 28    23.1    22.0    22.0 1
-1972  6 29    23.8    22.7    22.7 1
-1972  6 30    23.1    22.1    22.1 1
-1972  7  1    23.0    22.0    22.0 1
-1972  7  2    22.9    21.9    21.9 1
-1972  7  3    18.1    17.1    17.1 1
-1972  7  4    17.4    16.4    16.4 1
-1972  7  5    19.1    18.1    18.1 1
-1972  7  6    20.4    19.4    19.4 1
-1972  7  7    21.3    20.3    20.3 1
-1972  7  8    18.7    17.7    17.7 1
-1972  7  9    18.7    17.7    17.7 1
-1972  7 10    19.2    18.2    18.2 1
-1972  7 11    20.1    19.1    19.1 1
-1972  7 12    20.7    19.7    19.7 1
-1972  7 13    19.2    18.2    18.2 1
-1972  7 14    19.0    18.0    18.0 1
-1972  7 15    20.6    19.6    19.6 1
-1972  7 16    20.6    19.6    19.6 1
-1972  7 17    23.0    22.0    22.0 1
-1972  7 18    21.6    20.6    20.6 1
-1972  7 19    21.2    20.2    20.2 1
-1972  7 20    23.6    22.6    22.6 1
-1972  7 21    21.6    20.6    20.6 1
-1972  7 22    20.2    19.2    19.2 1
-1972  7 23    21.1    20.1    20.1 1
-1972  7 24    22.0    21.1    21.1 1
-1972  7 25    23.3    22.4    22.4 1
-1972  7 26    17.7    16.8    16.8 1
-1972  7 27    16.5    15.6    15.6 1
-1972  7 28    17.4    16.5    16.5 1
-1972  7 29    18.8    17.9    17.9 1
-1972  7 30    19.7    18.8    18.8 1
-1972  7 31    20.0    19.1    19.1 1
-1972  8  1    19.3    18.4    18.4 1
-1972  8  2    18.0    17.1    17.1 1
-1972  8  3    17.5    16.6    16.6 1
-1972  8  4    17.5    16.6    16.6 1
-1972  8  5    16.7    15.8    15.8 1
-1972  8  6    17.4    16.6    16.6 1
-1972  8  7    18.9    18.1    18.1 1
-1972  8  8    20.5    19.7    19.7 1
-1972  8  9    20.2    19.4    19.4 1
-1972  8 10    18.7    17.9    17.9 1
-1972  8 11    16.5    15.7    15.7 1
-1972  8 12    16.3    15.5    15.5 1
-1972  8 13    18.0    17.2    17.2 1
-1972  8 14    18.0    17.2    17.2 1
-1972  8 15    18.3    17.5    17.5 1
-1972  8 16    17.7    16.9    16.9 1
-1972  8 17    17.6    16.9    16.9 1
-1972  8 18    15.0    14.3    14.3 1
-1972  8 19    14.6    13.9    13.9 1
-1972  8 20    17.1    16.4    16.4 1
-1972  8 21    17.2    16.5    16.5 1
-1972  8 22    13.8    13.1    13.1 1
-1972  8 23    14.4    13.7    13.7 1
-1972  8 24    11.9    11.3    11.3 1
-1972  8 25    11.3    10.7    10.7 1
-1972  8 26    12.4    11.8    11.8 1
-1972  8 27    13.6    13.0    13.0 1
-1972  8 28    13.7    13.1    13.1 1
-1972  8 29    14.5    13.9    13.9 1
-1972  8 30    13.9    13.4    13.4 1
-1972  8 31    12.0    11.5    11.5 1
-1972  9  1    11.7    11.2    11.2 1
-1972  9  2    13.3    12.8    12.8 1
-1972  9  3    14.1    13.6    13.6 1
-1972  9  4    11.5    11.0    11.0 1
-1972  9  5    13.2    12.7    12.7 1
-1972  9  6    15.5    15.1    15.1 1
-1972  9  7    15.2    14.8    14.8 1
-1972  9  8    15.3    14.9    14.9 1
-1972  9  9    12.4    12.0    12.0 1
-1972  9 10    16.9    16.5    16.5 1
-1972  9 11    14.6    14.2    14.2 1
-1972  9 12    12.3    12.0    12.0 1
-1972  9 13    12.2    11.9    11.9 1
-1972  9 14    11.4    11.1    11.1 1
-1972  9 15    10.5    10.2    10.2 1
-1972  9 16    13.3    13.0    13.0 1
-1972  9 17    13.0    12.7    12.7 1
-1972  9 18    10.6    10.3    10.3 1
-1972  9 19    11.7    11.4    11.4 1
-1972  9 20    11.6    11.3    11.3 1
-1972  9 21    12.0    11.7    11.7 1
-1972  9 22    11.9    11.6    11.6 1
-1972  9 23     8.0     7.7     7.7 1
-1972  9 24     8.4     8.1     8.1 1
-1972  9 25     9.7     9.4     9.4 1
-1972  9 26     8.4     8.1     8.1 1
-1972  9 27     4.4     4.1     4.1 1
-1972  9 28     5.7     5.4     5.4 1
-1972  9 29     5.1     4.8     4.8 1
-1972  9 30     6.2     5.9     5.9 1
-1972 10  1     6.6     6.3     6.3 1
-1972 10  2     8.5     8.2     8.2 1
-1972 10  3     9.2     8.9     8.9 1
-1972 10  4     9.8     9.5     9.5 1
-1972 10  5    12.7    12.4    12.4 1
-1972 10  6     9.9     9.6     9.6 1
-1972 10  7    10.9    10.6    10.6 1
-1972 10  8    11.5    11.2    11.2 1
-1972 10  9    10.5    10.2    10.2 1
-1972 10 10    11.0    10.8    10.8 1
-1972 10 11     9.8     9.6     9.6 1
-1972 10 12     5.8     5.6     5.6 1
-1972 10 13     8.6     8.4     8.4 1
-1972 10 14     7.6     7.4     7.4 1
-1972 10 15     8.9     8.7     8.7 1
-1972 10 16     8.7     8.5     8.5 1
-1972 10 17     8.5     8.2     8.2 1
-1972 10 18     2.7     2.4     2.4 1
-1972 10 19     2.6     2.3     2.3 1
-1972 10 20     3.0     2.7     2.7 1
-1972 10 21     1.6     1.3     1.3 1
-1972 10 22     1.9     1.6     1.6 1
-1972 10 23     4.3     4.0     4.0 1
-1972 10 24     4.3     4.0     4.0 1
-1972 10 25     4.4     4.1     4.1 1
-1972 10 26     9.7     9.4     9.4 1
-1972 10 27     6.2     5.9     5.9 1
-1972 10 28     5.6     5.3     5.3 1
-1972 10 29     6.4     6.1     6.1 1
-1972 10 30     8.4     8.0     8.0 1
-1972 10 31     8.6     8.2     8.2 1
-1972 11  1     8.4     8.0     8.0 1
-1972 11  2     6.4     6.0     6.0 1
-1972 11  3     7.5     7.1     7.1 1
-1972 11  4     4.9     4.5     4.5 1
-1972 11  5     5.2     4.8     4.8 1
-1972 11  6     3.9     3.5     3.5 1
-1972 11  7     8.8     8.4     8.4 1
-1972 11  8     5.7     5.3     5.3 1
-1972 11  9     7.1     6.7     6.7 1
-1972 11 10     7.2     6.8     6.8 1
-1972 11 11     5.6     5.2     5.2 1
-1972 11 12     5.6     5.2     5.2 1
-1972 11 13     5.0     4.5     4.5 1
-1972 11 14     3.0     2.5     2.5 1
-1972 11 15     1.3     0.8     0.8 1
-1972 11 16     1.8     1.3     1.3 1
-1972 11 17    -1.0    -1.5    -1.5 1
-1972 11 18    -2.3    -2.8    -2.8 1
-1972 11 19    -2.2    -2.7    -2.7 1
-1972 11 20     0.6     0.1     0.1 1
-1972 11 21     3.7     3.2     3.2 1
-1972 11 22     5.4     4.9     4.9 1
-1972 11 23     3.0     2.5     2.5 1
-1972 11 24    -1.1    -1.6    -1.6 1
-1972 11 25    -1.0    -1.5    -1.5 1
-1972 11 26     2.1     1.6     1.6 1
-1972 11 27     2.2     1.7     1.7 1
-1972 11 28     6.4     5.9     5.9 1
-1972 11 29     4.4     3.9     3.9 1
-1972 11 30     5.4     4.9     4.9 1
-1972 12  1     5.3     4.8     4.8 1
-1972 12  2     6.8     6.3     6.3 1
-1972 12  3     6.2     5.7     5.7 1
-1972 12  4     5.3     4.8     4.8 1
-1972 12  5     5.7     5.1     5.1 1
-1972 12  6     7.0     6.4     6.4 1
-1972 12  7     7.2     6.6     6.6 1
-1972 12  8     5.1     4.5     4.5 1
-1972 12  9     4.1     3.5     3.5 1
-1972 12 10     2.6     2.0     2.0 1
-1972 12 11     3.5     2.9     2.9 1
-1972 12 12     3.2     2.6     2.6 1
-1972 12 13     5.3     4.7     4.7 1
-1972 12 14     7.0     6.4     6.4 1
-1972 12 15     4.9     4.3     4.3 1
-1972 12 16     6.8     6.2     6.2 1
-1972 12 17     4.9     4.3     4.3 1
-1972 12 18     2.5     1.9     1.9 1
-1972 12 19     0.8     0.2     0.2 1
-1972 12 20     5.3     4.7     4.7 1
-1972 12 21     3.5     2.9     2.9 1
-1972 12 22     3.7     3.1     3.1 1
-1972 12 23     1.7     1.1     1.1 1
-1972 12 24     0.5    -0.1    -0.1 1
-1972 12 25    -0.8    -1.5    -1.5 1
-1972 12 26     2.0     1.3     1.3 1
-1972 12 27     2.6     1.9     1.9 1
-1972 12 28     2.8     2.1     2.1 1
-1972 12 29     2.5     1.8     1.8 1
-1972 12 30     0.9     0.2     0.2 1
-1972 12 31     2.5     1.8     1.8 1
-1973  1  1    -1.2    -1.9    -1.9 1
-1973  1  2    -0.5    -1.2    -1.2 1
-1973  1  3     3.6     2.9     2.9 1
-1973  1  4     1.3     0.6     0.6 1
-1973  1  5     5.4     4.7     4.7 1
-1973  1  6     5.1     4.4     4.4 1
-1973  1  7     3.2     2.5     2.5 1
-1973  1  8     2.3     1.6     1.6 1
-1973  1  9     1.9     1.2     1.2 1
-1973  1 10     5.6     4.9     4.9 1
-1973  1 11     3.6     2.8     2.8 1
-1973  1 12     0.6    -0.2    -0.2 1
-1973  1 13    -0.5    -1.3    -1.3 1
-1973  1 14     0.6    -0.2    -0.2 1
-1973  1 15     1.7     0.9     0.9 1
-1973  1 16     0.6    -0.2    -0.2 1
-1973  1 17     1.1     0.3     0.3 1
-1973  1 18     0.2    -0.6    -0.6 1
-1973  1 19    -1.2    -2.0    -2.0 1
-1973  1 20    -1.6    -2.4    -2.4 1
-1973  1 21     1.1     0.3     0.3 1
-1973  1 22     0.4    -0.4    -0.4 1
-1973  1 23     1.9     1.1     1.1 1
-1973  1 24     1.1     0.3     0.3 1
-1973  1 25     2.7     1.9     1.9 1
-1973  1 26     3.6     2.8     2.8 1
-1973  1 27     1.9     1.1     1.1 1
-1973  1 28     0.6    -0.2    -0.2 1
-1973  1 29    -0.3    -1.1    -1.1 1
-1973  1 30    -0.3    -1.1    -1.1 1
-1973  1 31     1.4     0.6     0.6 1
-1973  2  1     2.0     1.2     1.2 1
-1973  2  2     1.4     0.6     0.6 1
-1973  2  3     3.6     2.8     2.8 1
-1973  2  4     1.7     0.9     0.9 1
-1973  2  5     5.3     4.5     4.5 1
-1973  2  6     2.2     1.4     1.4 1
-1973  2  7     3.0     2.2     2.2 1
-1973  2  8     0.2    -0.6    -0.6 1
-1973  2  9    -1.3    -2.1    -2.1 1
-1973  2 10    -2.7    -3.5    -3.5 1
-1973  2 11     0.2    -0.6    -0.6 1
-1973  2 12     0.3    -0.5    -0.5 1
-1973  2 13     1.6     0.8     0.8 1
-1973  2 14     2.3     1.5     1.5 1
-1973  2 15     0.6    -0.2    -0.2 1
-1973  2 16     0.8    -0.1    -0.1 1
-1973  2 17     1.7     0.8     0.8 1
-1973  2 18     0.9     0.0     0.0 1
-1973  2 19     1.9     1.0     1.0 1
-1973  2 20     3.0     2.1     2.1 1
-1973  2 21     2.9     2.0     2.0 1
-1973  2 22    -0.5    -1.4    -1.4 1
-1973  2 23    -4.9    -5.8    -5.8 1
-1973  2 24    -6.4    -7.3    -7.3 1
-1973  2 25    -5.9    -6.8    -6.8 1
-1973  2 26    -5.0    -5.9    -5.9 1
-1973  2 27    -3.7    -4.6    -4.6 1
-1973  2 28    -1.6    -2.5    -2.5 1
-1973  3  1     1.3     0.4     0.4 1
-1973  3  2     1.7     0.8     0.8 1
-1973  3  3     0.4    -0.5    -0.5 1
-1973  3  4     2.4     1.5     1.5 1
-1973  3  5     4.5     3.6     3.6 1
-1973  3  6     2.1     1.2     1.2 1
-1973  3  7     0.7    -0.2    -0.2 1
-1973  3  8     0.6    -0.3    -0.3 1
-1973  3  9     1.0     0.1     0.1 1
-1973  3 10     2.5     1.6     1.6 1
-1973  3 11     2.7     1.8     1.8 1
-1973  3 12     3.9     3.0     3.0 1
-1973  3 13     5.3     4.3     4.3 1
-1973  3 14     1.9     0.9     0.9 1
-1973  3 15     3.1     2.1     2.1 1
-1973  3 16     4.9     3.9     3.9 1
-1973  3 17     2.0     1.1     1.1 1
-1973  3 18     0.0    -0.9    -0.9 1
-1973  3 19     2.1     1.2     1.2 1
-1973  3 20     5.3     4.4     4.4 1
-1973  3 21     4.6     3.7     3.7 1
-1973  3 22     6.3     5.4     5.4 1
-1973  3 23     8.0     7.1     7.1 1
-1973  3 24     7.7     6.8     6.8 1
-1973  3 25    10.0     9.1     9.1 1
-1973  3 26     9.4     8.5     8.5 1
-1973  3 27     3.8     2.9     2.9 1
-1973  3 28     3.0     2.1     2.1 1
-1973  3 29     5.9     5.0     5.0 1
-1973  3 30     5.8     4.9     4.9 1
-1973  3 31     5.4     4.5     4.5 1
-1973  4  1     4.5     3.6     3.6 1
-1973  4  2     4.7     3.8     3.8 1
-1973  4  3     2.0     1.1     1.1 1
-1973  4  4     2.4     1.5     1.5 1
-1973  4  5     3.5     2.6     2.6 1
-1973  4  6     4.3     3.5     3.5 1
-1973  4  7     4.0     3.2     3.2 1
-1973  4  8     2.5     1.7     1.7 1
-1973  4  9     2.6     1.8     1.8 1
-1973  4 10     2.1     1.3     1.3 1
-1973  4 11     1.7     0.9     0.9 1
-1973  4 12     0.8     0.0     0.0 1
-1973  4 13     2.4     1.6     1.6 1
-1973  4 14     6.2     5.4     5.4 1
-1973  4 15     6.3     5.5     5.5 1
-1973  4 16     6.6     5.8     5.8 1
-1973  4 17     4.8     4.0     4.0 1
-1973  4 18     3.9     3.0     3.0 1
-1973  4 19     3.1     2.2     2.2 1
-1973  4 20     2.7     1.8     1.8 1
-1973  4 21     5.2     4.3     4.3 1
-1973  4 22     6.9     6.0     6.0 1
-1973  4 23     4.3     3.3     3.3 1
-1973  4 24     3.1     2.1     2.1 1
-1973  4 25     4.0     3.0     3.0 1
-1973  4 26     2.6     1.6     1.6 1
-1973  4 27     5.0     4.0     4.0 1
-1973  4 28     6.3     5.3     5.3 1
-1973  4 29     4.1     3.0     3.0 1
-1973  4 30     6.0     4.9     4.9 1
-1973  5  1     6.8     5.7     5.7 1
-1973  5  2    10.1     9.0     9.0 1
-1973  5  3    10.4     9.3     9.3 1
-1973  5  4     8.2     7.0     7.0 1
-1973  5  5    10.6     9.4     9.4 1
-1973  5  6    10.8     9.6     9.6 1
-1973  5  7    11.6    10.4    10.4 1
-1973  5  8     8.2     7.0     7.0 1
-1973  5  9     9.7     8.4     8.4 1
-1973  5 10    10.0     8.7     8.7 1
-1973  5 11     9.9     8.6     8.6 1
-1973  5 12     9.8     8.5     8.5 1
-1973  5 13     9.9     8.6     8.6 1
-1973  5 14    10.7     9.3     9.3 1
-1973  5 15     8.7     7.3     7.3 1
-1973  5 16     7.5     6.1     6.1 1
-1973  5 17     4.7     3.3     3.3 1
-1973  5 18     7.1     5.8     5.8 1
-1973  5 19     6.4     5.1     5.1 1
-1973  5 20    10.6     9.3     9.3 1
-1973  5 21    12.1    10.8    10.8 1
-1973  5 22    13.7    12.4    12.4 1
-1973  5 23    13.3    12.0    12.0 1
-1973  5 24    13.9    12.6    12.6 1
-1973  5 25    11.6    10.3    10.3 1
-1973  5 26    12.4    11.1    11.1 1
-1973  5 27    15.1    13.8    13.8 1
-1973  5 28    16.3    15.0    15.0 1
-1973  5 29    15.2    14.0    14.0 1
-1973  5 30    16.3    15.1    15.1 1
-1973  5 31    18.0    16.8    16.8 1
-1973  6  1    15.1    13.9    13.9 1
-1973  6  2    15.5    14.3    14.3 1
-1973  6  3    16.2    15.0    15.0 1
-1973  6  4    16.9    15.7    15.7 1
-1973  6  5    14.8    13.6    13.6 1
-1973  6  6    17.6    16.4    16.4 1
-1973  6  7    18.2    17.0    17.0 1
-1973  6  8    19.3    18.1    18.1 1
-1973  6  9    17.3    16.2    16.2 1
-1973  6 10    14.7    13.6    13.6 1
-1973  6 11    11.5    10.4    10.4 1
-1973  6 12    13.2    12.1    12.1 1
-1973  6 13    18.2    17.1    17.1 1
-1973  6 14    14.5    13.4    13.4 1
-1973  6 15    11.4    10.3    10.3 1
-1973  6 16    12.2    11.1    11.1 1
-1973  6 17    13.6    12.5    12.5 1
-1973  6 18    14.4    13.3    13.3 1
-1973  6 19    15.5    14.4    14.4 1
-1973  6 20    16.9    15.8    15.8 1
-1973  6 21    18.8    17.7    17.7 1
-1973  6 22    21.3    20.2    20.2 1
-1973  6 23    23.5    22.4    22.4 1
-1973  6 24    24.6    23.5    23.5 1
-1973  6 25    24.3    23.2    23.2 1
-1973  6 26    23.1    22.0    22.0 1
-1973  6 27    23.0    21.9    21.9 1
-1973  6 28    22.3    21.2    21.2 1
-1973  6 29    18.6    17.5    17.5 1
-1973  6 30    20.0    19.0    19.0 1
-1973  7  1    22.2    21.2    21.2 1
-1973  7  2    23.7    22.7    22.7 1
-1973  7  3    22.5    21.5    21.5 1
-1973  7  4    23.3    22.3    22.3 1
-1973  7  5    24.5    23.5    23.5 1
-1973  7  6    25.0    24.0    24.0 1
-1973  7  7    25.6    24.6    24.6 1
-1973  7  8    23.1    22.1    22.1 1
-1973  7  9    22.2    21.2    21.2 1
-1973  7 10    17.5    16.5    16.5 1
-1973  7 11    17.3    16.3    16.3 1
-1973  7 12    18.9    17.9    17.9 1
-1973  7 13    19.4    18.4    18.4 1
-1973  7 14    20.3    19.3    19.3 1
-1973  7 15    21.0    20.0    20.0 1
-1973  7 16    21.3    20.3    20.3 1
-1973  7 17    20.7    19.7    19.7 1
-1973  7 18    20.5    19.5    19.5 1
-1973  7 19    15.9    14.9    14.9 1
-1973  7 20    15.5    14.5    14.5 1
-1973  7 21    17.8    16.8    16.8 1
-1973  7 22    17.9    16.9    16.9 1
-1973  7 23    17.3    16.3    16.3 1
-1973  7 24    17.8    16.9    16.9 1
-1973  7 25    18.4    17.5    17.5 1
-1973  7 26    16.0    15.1    15.1 1
-1973  7 27    20.5    19.6    19.6 1
-1973  7 28    18.5    17.6    17.6 1
-1973  7 29    18.7    17.8    17.8 1
-1973  7 30    20.4    19.5    19.5 1
-1973  7 31    20.8    19.9    19.9 1
-1973  8  1    19.3    18.4    18.4 1
-1973  8  2    20.0    19.1    19.1 1
-1973  8  3    21.0    20.1    20.1 1
-1973  8  4    20.4    19.5    19.5 1
-1973  8  5    16.1    15.2    15.2 1
-1973  8  6    16.5    15.7    15.7 1
-1973  8  7    19.5    18.7    18.7 1
-1973  8  8    13.3    12.5    12.5 1
-1973  8  9    14.3    13.5    13.5 1
-1973  8 10    14.8    14.0    14.0 1
-1973  8 11    16.3    15.5    15.5 1
-1973  8 12    16.3    15.5    15.5 1
-1973  8 13    19.2    18.4    18.4 1
-1973  8 14    21.2    20.4    20.4 1
-1973  8 15    21.6    20.8    20.8 1
-1973  8 16    22.3    21.5    21.5 1
-1973  8 17    22.0    21.3    21.3 1
-1973  8 18    18.2    17.5    17.5 1
-1973  8 19    17.1    16.4    16.4 1
-1973  8 20    15.5    14.8    14.8 1
-1973  8 21    12.1    11.4    11.4 1
-1973  8 22    10.4     9.7     9.7 1
-1973  8 23    13.8    13.1    13.1 1
-1973  8 24    12.9    12.3    12.3 1
-1973  8 25    10.5     9.9     9.9 1
-1973  8 26    13.8    13.2    13.2 1
-1973  8 27    12.3    11.7    11.7 1
-1973  8 28    16.7    16.1    16.1 1
-1973  8 29    17.6    17.0    17.0 1
-1973  8 30    16.0    15.5    15.5 1
-1973  8 31    16.1    15.6    15.6 1
-1973  9  1    14.8    14.3    14.3 1
-1973  9  2    15.4    14.9    14.9 1
-1973  9  3    13.9    13.4    13.4 1
-1973  9  4    13.9    13.4    13.4 1
-1973  9  5    16.0    15.5    15.5 1
-1973  9  6    14.6    14.2    14.2 1
-1973  9  7    15.0    14.6    14.6 1
-1973  9  8    14.6    14.2    14.2 1
-1973  9  9    13.2    12.8    12.8 1
-1973  9 10     9.3     8.9     8.9 1
-1973  9 11     8.7     8.3     8.3 1
-1973  9 12     8.1     7.8     7.8 1
-1973  9 13     8.0     7.7     7.7 1
-1973  9 14     8.6     8.3     8.3 1
-1973  9 15    11.7    11.4    11.4 1
-1973  9 16    11.0    10.7    10.7 1
-1973  9 17     8.9     8.6     8.6 1
-1973  9 18    10.4    10.1    10.1 1
-1973  9 19    10.5    10.2    10.2 1
-1973  9 20    11.3    11.0    11.0 1
-1973  9 21    10.6    10.3    10.3 1
-1973  9 22     7.5     7.2     7.2 1
-1973  9 23     7.0     6.7     6.7 1
-1973  9 24     6.8     6.5     6.5 1
-1973  9 25     7.3     7.0     7.0 1
-1973  9 26     4.3     4.0     4.0 1
-1973  9 27     4.7     4.4     4.4 1
-1973  9 28     6.7     6.4     6.4 1
-1973  9 29    10.8    10.5    10.5 1
-1973  9 30     9.8     9.5     9.5 1
-1973 10  1     7.7     7.4     7.4 1
-1973 10  2    12.6    12.3    12.3 1
-1973 10  3    12.0    11.7    11.7 1
-1973 10  4    14.0    13.7    13.7 1
-1973 10  5    12.4    12.1    12.1 1
-1973 10  6    10.7    10.4    10.4 1
-1973 10  7    10.2     9.9     9.9 1
-1973 10  8     8.5     8.2     8.2 1
-1973 10  9     8.3     8.0     8.0 1
-1973 10 10     2.8     2.6     2.6 1
-1973 10 11    -0.4    -0.6    -0.6 1
-1973 10 12     2.6     2.4     2.4 1
-1973 10 13     3.8     3.6     3.6 1
-1973 10 14     5.1     4.9     4.9 1
-1973 10 15     4.5     4.3     4.3 1
-1973 10 16     2.7     2.5     2.5 1
-1973 10 17     0.5     0.2     0.2 1
-1973 10 18     1.1     0.8     0.8 1
-1973 10 19     1.3     1.0     1.0 1
-1973 10 20     0.9     0.6     0.6 1
-1973 10 21     0.2    -0.1    -0.1 1
-1973 10 22    -1.6    -1.9    -1.9 1
-1973 10 23     0.1    -0.2    -0.2 1
-1973 10 24     3.5     3.2     3.2 1
-1973 10 25     9.4     9.1     9.1 1
-1973 10 26     8.0     7.7     7.7 1
-1973 10 27     5.2     4.9     4.9 1
-1973 10 28     7.2     6.9     6.9 1
-1973 10 29     4.5     4.2     4.2 1
-1973 10 30     2.9     2.5     2.5 1
-1973 10 31     0.2    -0.2    -0.2 1
-1973 11  1     1.7     1.3     1.3 1
-1973 11  2     3.6     3.2     3.2 1
-1973 11  3     3.1     2.7     2.7 1
-1973 11  4     6.1     5.7     5.7 1
-1973 11  5     7.0     6.6     6.6 1
-1973 11  6     6.2     5.8     5.8 1
-1973 11  7     2.4     2.0     2.0 1
-1973 11  8     4.3     3.9     3.9 1
-1973 11  9     9.1     8.7     8.7 1
-1973 11 10     2.9     2.5     2.5 1
-1973 11 11     3.5     3.1     3.1 1
-1973 11 12    -0.7    -1.1    -1.1 1
-1973 11 13    -0.1    -0.6    -0.6 1
-1973 11 14    -5.2    -5.7    -5.7 1
-1973 11 15    -2.7    -3.2    -3.2 1
-1973 11 16     1.6     1.1     1.1 1
-1973 11 17    -3.4    -3.9    -3.9 1
-1973 11 18    -3.0    -3.5    -3.5 1
-1973 11 19     1.3     0.8     0.8 1
-1973 11 20    -2.0    -2.5    -2.5 1
-1973 11 21    -3.3    -3.8    -3.8 1
-1973 11 22     4.3     3.8     3.8 1
-1973 11 23     1.5     1.0     1.0 1
-1973 11 24    -2.2    -2.7    -2.7 1
-1973 11 25    -5.9    -6.4    -6.4 1
-1973 11 26    -5.6    -6.1    -6.1 1
-1973 11 27    -5.2    -5.7    -5.7 1
-1973 11 28    -6.5    -7.0    -7.0 1
-1973 11 29    -7.6    -8.1    -8.1 1
-1973 11 30    -8.6    -9.1    -9.1 1
-1973 12  1    -7.8    -8.3    -8.3 1
-1973 12  2    -8.5    -9.0    -9.0 1
-1973 12  3     0.6     0.1     0.1 1
-1973 12  4    -1.0    -1.5    -1.5 1
-1973 12  5    -6.9    -7.4    -7.4 1
-1973 12  6    -2.7    -3.3    -3.3 1
-1973 12  7    -6.3    -6.9    -6.9 1
-1973 12  8    -9.5   -10.1   -10.1 1
-1973 12  9   -12.8   -13.4   -13.4 1
-1973 12 10     1.2     0.6     0.6 1
-1973 12 11     3.2     2.6     2.6 1
-1973 12 12    -0.9    -1.5    -1.5 1
-1973 12 13    -0.6    -1.2    -1.2 1
-1973 12 14     1.1     0.5     0.5 1
-1973 12 15    -5.3    -5.9    -5.9 1
-1973 12 16    -4.6    -5.2    -5.2 1
-1973 12 17     0.4    -0.2    -0.2 1
-1973 12 18    -7.0    -7.6    -7.6 1
-1973 12 19    -5.5    -6.1    -6.1 1
-1973 12 20    -4.0    -4.6    -4.6 1
-1973 12 21     0.2    -0.4    -0.4 1
-1973 12 22     0.4    -0.2    -0.2 1
-1973 12 23     0.1    -0.5    -0.5 1
-1973 12 24    -0.7    -1.3    -1.3 1
-1973 12 25     0.4    -0.3    -0.3 1
-1973 12 26     1.2     0.5     0.5 1
-1973 12 27     2.7     2.0     2.0 1
-1973 12 28     4.2     3.5     3.5 1
-1973 12 29     2.6     1.9     1.9 1
-1973 12 30     5.2     4.5     4.5 1
-1973 12 31     2.0     1.3     1.3 1
-1974  1  1    -0.1    -0.8    -0.8 1
-1974  1  2     1.1     0.4     0.4 1
-1974  1  3    -0.3    -1.0    -1.0 1
-1974  1  4     1.1     0.4     0.4 1
-1974  1  5     1.5     0.8     0.8 1
-1974  1  6     1.9     1.2     1.2 1
-1974  1  7     0.9     0.2     0.2 1
-1974  1  8     0.0    -0.7    -0.7 1
-1974  1  9    -0.1    -0.8    -0.8 1
-1974  1 10     0.5    -0.2    -0.2 1
-1974  1 11    -1.3    -2.1    -2.1 1
-1974  1 12    -2.0    -2.8    -2.8 1
-1974  1 13     0.4    -0.4    -0.4 1
-1974  1 14     1.5     0.7     0.7 1
-1974  1 15     2.4     1.6     1.6 1
-1974  1 16     2.6     1.8     1.8 1
-1974  1 17     0.9     0.1     0.1 1
-1974  1 18     0.0    -0.8    -0.8 1
-1974  1 19     2.7     1.9     1.9 1
-1974  1 20     0.2    -0.6    -0.6 1
-1974  1 21     0.8     0.0     0.0 1
-1974  1 22     0.9     0.1     0.1 1
-1974  1 23    -2.5    -3.3    -3.3 1
-1974  1 24     1.7     0.9     0.9 1
-1974  1 25     1.0     0.2     0.2 1
-1974  1 26     3.3     2.5     2.5 1
-1974  1 27     2.7     1.9     1.9 1
-1974  1 28     2.0     1.2     1.2 1
-1974  1 29     1.8     1.0     1.0 1
-1974  1 30     2.2     1.4     1.4 1
-1974  1 31     1.7     0.9     0.9 1
-1974  2  1     1.9     1.1     1.1 1
-1974  2  2     0.7    -0.1    -0.1 1
-1974  2  3     2.3     1.5     1.5 1
-1974  2  4     3.5     2.7     2.7 1
-1974  2  5     1.9     1.1     1.1 1
-1974  2  6     0.6    -0.2    -0.2 1
-1974  2  7     0.5    -0.3    -0.3 1
-1974  2  8    -3.0    -3.8    -3.8 1
-1974  2  9    -4.4    -5.2    -5.2 1
-1974  2 10     0.4    -0.4    -0.4 1
-1974  2 11     3.9     3.1     3.1 1
-1974  2 12     6.1     5.3     5.3 1
-1974  2 13     3.2     2.4     2.4 1
-1974  2 14     1.8     1.0     1.0 1
-1974  2 15     2.1     1.3     1.3 1
-1974  2 16     2.4     1.5     1.5 1
-1974  2 17     1.9     1.0     1.0 1
-1974  2 18     0.6    -0.3    -0.3 1
-1974  2 19    -1.1    -2.0    -2.0 1
-1974  2 20    -0.9    -1.8    -1.8 1
-1974  2 21     2.3     1.4     1.4 1
-1974  2 22     4.3     3.4     3.4 1
-1974  2 23     3.5     2.6     2.6 1
-1974  2 24     0.4    -0.5    -0.5 1
-1974  2 25     0.8    -0.1    -0.1 1
-1974  2 26     1.5     0.6     0.6 1
-1974  2 27     1.4     0.5     0.5 1
-1974  2 28     0.9     0.0     0.0 1
-1974  3  1     0.9     0.0     0.0 1
-1974  3  2     0.7    -0.2    -0.2 1
-1974  3  3     0.8    -0.1    -0.1 1
-1974  3  4     0.9     0.0     0.0 1
-1974  3  5     0.5    -0.4    -0.4 1
-1974  3  6     1.1     0.2     0.2 1
-1974  3  7    -0.1    -1.0    -1.0 1
-1974  3  8    -1.7    -2.6    -2.6 1
-1974  3  9    -0.4    -1.3    -1.3 1
-1974  3 10    -0.5    -1.4    -1.4 1
-1974  3 11    -0.4    -1.3    -1.3 1
-1974  3 12    -2.4    -3.3    -3.3 1
-1974  3 13    -1.7    -2.7    -2.7 1
-1974  3 14     0.1    -0.9    -0.9 1
-1974  3 15     0.5    -0.5    -0.5 1
-1974  3 16     1.4     0.4     0.4 1
-1974  3 17     1.6     0.7     0.7 1
-1974  3 18     1.4     0.5     0.5 1
-1974  3 19     1.5     0.6     0.6 1
-1974  3 20     2.1     1.2     1.2 1
-1974  3 21     0.8    -0.1    -0.1 1
-1974  3 22     2.0     1.1     1.1 1
-1974  3 23     1.7     0.8     0.8 1
-1974  3 24     2.5     1.6     1.6 1
-1974  3 25     3.9     3.0     3.0 1
-1974  3 26     4.9     4.0     4.0 1
-1974  3 27     5.3     4.4     4.4 1
-1974  3 28     5.9     5.0     5.0 1
-1974  3 29     5.5     4.6     4.6 1
-1974  3 30     5.7     4.8     4.8 1
-1974  3 31     7.1     6.2     6.2 1
-1974  4  1     5.5     4.6     4.6 1
-1974  4  2     5.5     4.6     4.6 1
-1974  4  3     6.5     5.6     5.6 1
-1974  4  4     8.3     7.4     7.4 1
-1974  4  5     8.8     7.9     7.9 1
-1974  4  6    10.4     9.6     9.6 1
-1974  4  7    10.1     9.3     9.3 1
-1974  4  8    12.8    12.0    12.0 1
-1974  4  9     4.3     3.5     3.5 1
-1974  4 10     5.7     4.9     4.9 1
-1974  4 11     0.2    -0.6    -0.6 1
-1974  4 12     1.3     0.5     0.5 1
-1974  4 13     2.2     1.4     1.4 1
-1974  4 14     5.2     4.4     4.4 1
-1974  4 15     2.7     1.9     1.9 1
-1974  4 16     4.1     3.3     3.3 1
-1974  4 17     6.4     5.6     5.6 1
-1974  4 18     6.8     5.9     5.9 1
-1974  4 19     5.0     4.1     4.1 1
-1974  4 20     8.3     7.4     7.4 1
-1974  4 21     6.3     5.4     5.4 1
-1974  4 22     6.6     5.7     5.7 1
-1974  4 23     6.4     5.4     5.4 1
-1974  4 24     4.6     3.6     3.6 1
-1974  4 25     4.3     3.3     3.3 1
-1974  4 26     5.0     4.0     4.0 1
-1974  4 27     6.9     5.9     5.9 1
-1974  4 28     9.2     8.2     8.2 1
-1974  4 29    10.8     9.7     9.7 1
-1974  4 30     9.5     8.4     8.4 1
-1974  5  1     8.2     7.1     7.1 1
-1974  5  2     8.5     7.4     7.4 1
-1974  5  3     7.6     6.5     6.5 1
-1974  5  4     4.2     3.0     3.0 1
-1974  5  5     3.7     2.5     2.5 1
-1974  5  6     5.0     3.8     3.8 1
-1974  5  7     6.9     5.7     5.7 1
-1974  5  8     5.3     4.1     4.1 1
-1974  5  9     6.9     5.6     5.6 1
-1974  5 10     8.2     6.9     6.9 1
-1974  5 11     8.9     7.6     7.6 1
-1974  5 12     8.3     7.0     7.0 1
-1974  5 13     9.2     7.9     7.9 1
-1974  5 14     9.4     8.0     8.0 1
-1974  5 15     9.6     8.2     8.2 1
-1974  5 16    10.5     9.1     9.1 1
-1974  5 17    15.2    13.8    13.8 1
-1974  5 18    19.1    17.8    17.8 1
-1974  5 19    14.2    12.9    12.9 1
-1974  5 20     9.8     8.5     8.5 1
-1974  5 21    11.6    10.3    10.3 1
-1974  5 22     9.6     8.3     8.3 1
-1974  5 23    12.0    10.7    10.7 1
-1974  5 24    11.6    10.3    10.3 1
-1974  5 25     9.7     8.4     8.4 1
-1974  5 26    11.0     9.7     9.7 1
-1974  5 27    10.4     9.1     9.1 1
-1974  5 28     8.6     7.3     7.3 1
-1974  5 29     9.8     8.6     8.6 1
-1974  5 30     9.9     8.7     8.7 1
-1974  5 31    10.1     8.9     8.9 1
-1974  6  1    12.7    11.5    11.5 1
-1974  6  2    13.3    12.1    12.1 1
-1974  6  3    11.6    10.4    10.4 1
-1974  6  4    11.2    10.0    10.0 1
-1974  6  5    14.4    13.2    13.2 1
-1974  6  6    14.0    12.8    12.8 1
-1974  6  7    12.2    11.0    11.0 1
-1974  6  8    11.5    10.3    10.3 1
-1974  6  9    12.9    11.8    11.8 1
-1974  6 10    10.5     9.4     9.4 1
-1974  6 11    13.5    12.4    12.4 1
-1974  6 12    12.2    11.1    11.1 1
-1974  6 13    16.8    15.7    15.7 1
-1974  6 14    17.0    15.9    15.9 1
-1974  6 15    17.9    16.8    16.8 1
-1974  6 16    18.5    17.4    17.4 1
-1974  6 17    18.1    17.0    17.0 1
-1974  6 18    18.1    17.0    17.0 1
-1974  6 19    18.6    17.5    17.5 1
-1974  6 20    19.1    18.0    18.0 1
-1974  6 21    17.6    16.5    16.5 1
-1974  6 22    16.7    15.6    15.6 1
-1974  6 23    16.4    15.3    15.3 1
-1974  6 24    16.0    14.9    14.9 1
-1974  6 25    14.6    13.5    13.5 1
-1974  6 26    14.9    13.8    13.8 1
-1974  6 27    15.5    14.4    14.4 1
-1974  6 28    16.8    15.7    15.7 1
-1974  6 29    16.8    15.7    15.7 1
-1974  6 30    16.3    15.3    15.3 1
-1974  7  1    15.9    14.9    14.9 1
-1974  7  2    19.1    18.1    18.1 1
-1974  7  3    17.6    16.6    16.6 1
-1974  7  4    16.0    15.0    15.0 1
-1974  7  5    14.7    13.7    13.7 1
-1974  7  6    14.1    13.1    13.1 1
-1974  7  7    12.0    11.0    11.0 1
-1974  7  8    14.5    13.5    13.5 1
-1974  7  9    14.3    13.3    13.3 1
-1974  7 10    15.8    14.8    14.8 1
-1974  7 11    15.3    14.3    14.3 1
-1974  7 12    16.9    15.9    15.9 1
-1974  7 13    15.7    14.7    14.7 1
-1974  7 14    14.3    13.3    13.3 1
-1974  7 15    16.0    15.0    15.0 1
-1974  7 16    15.4    14.4    14.4 1
-1974  7 17    16.0    15.0    15.0 1
-1974  7 18    18.1    17.1    17.1 1
-1974  7 19    16.8    15.8    15.8 1
-1974  7 20    16.0    15.0    15.0 1
-1974  7 21    18.8    17.8    17.8 1
-1974  7 22    16.7    15.7    15.7 1
-1974  7 23    17.8    16.8    16.8 1
-1974  7 24    15.8    14.9    14.9 1
-1974  7 25    14.8    13.9    13.9 1
-1974  7 26    12.3    11.4    11.4 1
-1974  7 27    13.5    12.6    12.6 1
-1974  7 28    14.6    13.7    13.7 1
-1974  7 29    14.2    13.3    13.3 1
-1974  7 30    14.3    13.4    13.4 1
-1974  7 31    14.8    13.9    13.9 1
-1974  8  1    15.8    14.9    14.9 1
-1974  8  2    16.2    15.3    15.3 1
-1974  8  3    15.1    14.2    14.2 1
-1974  8  4    16.3    15.4    15.4 1
-1974  8  5    16.9    16.0    16.0 1
-1974  8  6    14.6    13.8    13.8 1
-1974  8  7    13.6    12.8    12.8 1
-1974  8  8    15.0    14.2    14.2 1
-1974  8  9    15.6    14.8    14.8 1
-1974  8 10    16.5    15.7    15.7 1
-1974  8 11    15.8    15.0    15.0 1
-1974  8 12    17.0    16.2    16.2 1
-1974  8 13    15.3    14.5    14.5 1
-1974  8 14    16.0    15.2    15.2 1
-1974  8 15    14.8    14.0    14.0 1
-1974  8 16    18.5    17.7    17.7 1
-1974  8 17    17.6    16.9    16.9 1
-1974  8 18    16.0    15.3    15.3 1
-1974  8 19    15.1    14.4    14.4 1
-1974  8 20    15.0    14.3    14.3 1
-1974  8 21    15.8    15.1    15.1 1
-1974  8 22    16.3    15.6    15.6 1
-1974  8 23    17.8    17.1    17.1 1
-1974  8 24    18.0    17.4    17.4 1
-1974  8 25    18.0    17.4    17.4 1
-1974  8 26    18.6    18.0    18.0 1
-1974  8 27    18.9    18.3    18.3 1
-1974  8 28    17.4    16.8    16.8 1
-1974  8 29    16.9    16.3    16.3 1
-1974  8 30    15.4    14.9    14.9 1
-1974  8 31    17.2    16.7    16.7 1
-1974  9  1    17.1    16.6    16.6 1
-1974  9  2    17.7    17.2    17.2 1
-1974  9  3    18.0    17.5    17.5 1
-1974  9  4    14.1    13.6    13.6 1
-1974  9  5    13.6    13.1    13.1 1
-1974  9  6    15.1    14.7    14.7 1
-1974  9  7    14.2    13.8    13.8 1
-1974  9  8    14.7    14.3    14.3 1
-1974  9  9    14.7    14.3    14.3 1
-1974  9 10    14.4    14.0    14.0 1
-1974  9 11    13.1    12.7    12.7 1
-1974  9 12    14.9    14.6    14.6 1
-1974  9 13    12.9    12.6    12.6 1
-1974  9 14    12.4    12.1    12.1 1
-1974  9 15    13.4    13.1    13.1 1
-1974  9 16    13.3    13.0    13.0 1
-1974  9 17    14.8    14.5    14.5 1
-1974  9 18    15.0    14.7    14.7 1
-1974  9 19    11.2    10.9    10.9 1
-1974  9 20    11.8    11.5    11.5 1
-1974  9 21    10.5    10.2    10.2 1
-1974  9 22    12.7    12.4    12.4 1
-1974  9 23    11.0    10.7    10.7 1
-1974  9 24    11.9    11.6    11.6 1
-1974  9 25    11.6    11.3    11.3 1
-1974  9 26    10.0     9.7     9.7 1
-1974  9 27     9.9     9.6     9.6 1
-1974  9 28    11.7    11.4    11.4 1
-1974  9 29    11.9    11.6    11.6 1
-1974  9 30     9.9     9.6     9.6 1
-1974 10  1    10.1     9.8     9.8 1
-1974 10  2     9.5     9.2     9.2 1
-1974 10  3    10.5    10.2    10.2 1
-1974 10  4     7.5     7.2     7.2 1
-1974 10  5     6.9     6.6     6.6 1
-1974 10  6     8.5     8.2     8.2 1
-1974 10  7     8.7     8.4     8.4 1
-1974 10  8     8.7     8.4     8.4 1
-1974 10  9     7.2     6.9     6.9 1
-1974 10 10     5.8     5.5     5.5 1
-1974 10 11     5.6     5.4     5.4 1
-1974 10 12     5.5     5.3     5.3 1
-1974 10 13     5.9     5.7     5.7 1
-1974 10 14     4.4     4.2     4.2 1
-1974 10 15     0.8     0.6     0.6 1
-1974 10 16     2.1     1.9     1.9 1
-1974 10 17     4.6     4.3     4.3 1
-1974 10 18     4.1     3.8     3.8 1
-1974 10 19     5.1     4.8     4.8 1
-1974 10 20     8.1     7.8     7.8 1
-1974 10 21     7.1     6.8     6.8 1
-1974 10 22     8.4     8.1     8.1 1
-1974 10 23     4.5     4.2     4.2 1
-1974 10 24     3.3     3.0     3.0 1
-1974 10 25     4.9     4.6     4.6 1
-1974 10 26     3.9     3.6     3.6 1
-1974 10 27     3.8     3.5     3.5 1
-1974 10 28     5.4     5.1     5.1 1
-1974 10 29     4.4     4.1     4.1 1
-1974 10 30     5.5     5.1     5.1 1
-1974 10 31     6.1     5.7     5.7 1
-1974 11  1     5.6     5.2     5.2 1
-1974 11  2     4.0     3.6     3.6 1
-1974 11  3     3.0     2.6     2.6 1
-1974 11  4     2.2     1.8     1.8 1
-1974 11  5     1.3     0.9     0.9 1
-1974 11  6     0.5     0.1     0.1 1
-1974 11  7     0.5     0.1     0.1 1
-1974 11  8     0.2    -0.2    -0.2 1
-1974 11  9     4.6     4.2     4.2 1
-1974 11 10     6.8     6.4     6.4 1
-1974 11 11     6.2     5.8     5.8 1
-1974 11 12     6.2     5.8     5.8 1
-1974 11 13     5.9     5.4     5.4 1
-1974 11 14     5.8     5.3     5.3 1
-1974 11 15     8.3     7.8     7.8 1
-1974 11 16     6.9     6.4     6.4 1
-1974 11 17     6.2     5.7     5.7 1
-1974 11 18     5.6     5.1     5.1 1
-1974 11 19     6.7     6.2     6.2 1
-1974 11 20     3.9     3.4     3.4 1
-1974 11 21     1.2     0.7     0.7 1
-1974 11 22    -0.4    -0.9    -0.9 1
-1974 11 23     0.3    -0.2    -0.2 1
-1974 11 24     3.3     2.8     2.8 1
-1974 11 25     5.2     4.7     4.7 1
-1974 11 26     5.6     5.1     5.1 1
-1974 11 27     4.0     3.5     3.5 1
-1974 11 28     3.6     3.1     3.1 1
-1974 11 29     1.1     0.6     0.6 1
-1974 11 30    -0.7    -1.2    -1.2 1
-1974 12  1    -3.6    -4.1    -4.1 1
-1974 12  2     2.0     1.5     1.5 1
-1974 12  3     3.1     2.6     2.6 1
-1974 12  4     3.1     2.6     2.6 1
-1974 12  5     2.5     1.9     1.9 1
-1974 12  6     1.1     0.5     0.5 1
-1974 12  7     0.0    -0.6    -0.6 1
-1974 12  8     3.3     2.7     2.7 1
-1974 12  9     5.2     4.6     4.6 1
-1974 12 10     3.3     2.7     2.7 1
-1974 12 11     2.4     1.8     1.8 1
-1974 12 12     1.5     0.9     0.9 1
-1974 12 13    -1.3    -1.9    -1.9 1
-1974 12 14     0.9     0.3     0.3 1
-1974 12 15     2.7     2.1     2.1 1
-1974 12 16     2.1     1.5     1.5 1
-1974 12 17     2.6     2.0     2.0 1
-1974 12 18     1.0     0.4     0.4 1
-1974 12 19    -0.1    -0.7    -0.7 1
-1974 12 20     2.1     1.5     1.5 1
-1974 12 21     5.9     5.3     5.3 1
-1974 12 22     8.7     8.1     8.1 1
-1974 12 23     6.3     5.7     5.7 1
-1974 12 24     5.5     4.9     4.9 1
-1974 12 25     4.3     3.6     3.6 1
-1974 12 26     4.6     3.9     3.9 1
-1974 12 27     1.1     0.4     0.4 1
-1974 12 28    -1.4    -2.1    -2.1 1
-1974 12 29    -1.7    -2.4    -2.4 1
-1974 12 30    -5.5    -6.2    -6.2 1
-1974 12 31    -5.9    -6.6    -6.6 1
-1975  1  1    -0.1    -0.8    -0.8 1
-1975  1  2     1.6     0.9     0.9 1
-1975  1  3     5.7     5.0     5.0 1
-1975  1  4     2.2     1.5     1.5 1
-1975  1  5     2.1     1.4     1.4 1
-1975  1  6     2.6     1.9     1.9 1
-1975  1  7    -3.7    -4.4    -4.4 1
-1975  1  8    -6.7    -7.4    -7.4 1
-1975  1  9    -3.2    -3.9    -3.9 1
-1975  1 10     2.2     1.5     1.5 1
-1975  1 11    -2.6    -3.4    -3.4 1
-1975  1 12     0.9     0.1     0.1 1
-1975  1 13     4.6     3.8     3.8 1
-1975  1 14     5.2     4.4     4.4 1
-1975  1 15     5.8     5.0     5.0 1
-1975  1 16     6.2     5.4     5.4 1
-1975  1 17     4.5     3.7     3.7 1
-1975  1 18     2.6     1.8     1.8 1
-1975  1 19     1.2     0.4     0.4 1
-1975  1 20     0.8     0.0     0.0 1
-1975  1 21     3.0     2.2     2.2 1
-1975  1 22     3.7     2.9     2.9 1
-1975  1 23     3.5     2.7     2.7 1
-1975  1 24     2.7     1.9     1.9 1
-1975  1 25     0.9     0.1     0.1 1
-1975  1 26     2.8     2.0     2.0 1
-1975  1 27     3.5     2.7     2.7 1
-1975  1 28     3.2     2.4     2.4 1
-1975  1 29     1.4     0.6     0.6 1
-1975  1 30     1.2     0.4     0.4 1
-1975  1 31     1.5     0.7     0.7 1
-1975  2  1     2.0     1.2     1.2 1
-1975  2  2     1.4     0.6     0.6 1
-1975  2  3     2.2     1.4     1.4 1
-1975  2  4     1.3     0.5     0.5 1
-1975  2  5    -0.3    -1.1    -1.1 1
-1975  2  6     1.4     0.6     0.6 1
-1975  2  7     0.4    -0.4    -0.4 1
-1975  2  8    -1.5    -2.3    -2.3 1
-1975  2  9     0.8     0.0     0.0 1
-1975  2 10    -0.9    -1.7    -1.7 1
-1975  2 11    -0.8    -1.6    -1.6 1
-1975  2 12    -0.4    -1.2    -1.2 1
-1975  2 13    -3.3    -4.1    -4.1 1
-1975  2 14    -8.6    -9.4    -9.4 1
-1975  2 15   -10.0   -10.8   -10.8 1
-1975  2 16    -4.7    -5.6    -5.6 1
-1975  2 17    -1.7    -2.6    -2.6 1
-1975  2 18    -0.2    -1.1    -1.1 1
-1975  2 19     0.5    -0.4    -0.4 1
-1975  2 20     1.5     0.6     0.6 1
-1975  2 21     2.7     1.8     1.8 1
-1975  2 22     2.9     2.0     2.0 1
-1975  2 23     0.1    -0.8    -0.8 1
-1975  2 24     2.4     1.5     1.5 1
-1975  2 25     0.5    -0.4    -0.4 1
-1975  2 26     0.2    -0.7    -0.7 1
-1975  2 27     0.1    -0.8    -0.8 1
-1975  2 28     2.8     1.9     1.9 1
-1975  3  1     2.8     1.9     1.9 1
-1975  3  2     1.4     0.5     0.5 1
-1975  3  3     1.2     0.3     0.3 1
-1975  3  4     5.4     4.5     4.5 1
-1975  3  5     6.0     5.1     5.1 1
-1975  3  6     4.0     3.1     3.1 1
-1975  3  7     4.4     3.5     3.5 1
-1975  3  8     3.2     2.3     2.3 1
-1975  3  9     3.9     3.0     3.0 1
-1975  3 10     3.8     2.9     2.9 1
-1975  3 11     0.7    -0.2    -0.2 1
-1975  3 12     1.3     0.4     0.4 1
-1975  3 13     2.8     1.8     1.8 1
-1975  3 14     3.4     2.4     2.4 1
-1975  3 15     2.7     1.7     1.7 1
-1975  3 16    -1.0    -2.0    -2.0 1
-1975  3 17    -2.4    -3.3    -3.3 1
-1975  3 18    -3.2    -4.1    -4.1 1
-1975  3 19     0.4    -0.5    -0.5 1
-1975  3 20    -0.4    -1.3    -1.3 1
-1975  3 21     1.1     0.2     0.2 1
-1975  3 22     2.3     1.4     1.4 1
-1975  3 23     3.3     2.4     2.4 1
-1975  3 24     2.7     1.8     1.8 1
-1975  3 25     2.4     1.5     1.5 1
-1975  3 26     1.5     0.6     0.6 1
-1975  3 27     0.8    -0.1    -0.1 1
-1975  3 28     0.9     0.0     0.0 1
-1975  3 29     0.1    -0.8    -0.8 1
-1975  3 30     0.3    -0.6    -0.6 1
-1975  3 31     1.3     0.4     0.4 1
-1975  4  1     0.8    -0.1    -0.1 1
-1975  4  2    -0.1    -1.0    -1.0 1
-1975  4  3    -0.6    -1.5    -1.5 1
-1975  4  4    -1.3    -2.2    -2.2 1
-1975  4  5     1.5     0.6     0.6 1
-1975  4  6     1.6     0.8     0.8 1
-1975  4  7     1.0     0.2     0.2 1
-1975  4  8     3.6     2.8     2.8 1
-1975  4  9     3.7     2.9     2.9 1
-1975  4 10     3.2     2.4     2.4 1
-1975  4 11     2.7     1.9     1.9 1
-1975  4 12     3.1     2.3     2.3 1
-1975  4 13     2.3     1.5     1.5 1
-1975  4 14     2.7     1.9     1.9 1
-1975  4 15     1.9     1.1     1.1 1
-1975  4 16     3.1     2.3     2.3 1
-1975  4 17     5.6     4.8     4.8 1
-1975  4 18     7.1     6.2     6.2 1
-1975  4 19     7.1     6.2     6.2 1
-1975  4 20     5.7     4.8     4.8 1
-1975  4 21     6.1     5.2     5.2 1
-1975  4 22     8.6     7.7     7.7 1
-1975  4 23    10.3     9.3     9.3 1
-1975  4 24     7.7     6.7     6.7 1
-1975  4 25     5.9     4.9     4.9 1
-1975  4 26     8.7     7.7     7.7 1
-1975  4 27     9.2     8.2     8.2 1
-1975  4 28     8.5     7.5     7.5 1
-1975  4 29     9.3     8.2     8.2 1
-1975  4 30    12.8    11.7    11.7 1
-1975  5  1     9.8     8.7     8.7 1
-1975  5  2     8.2     7.1     7.1 1
-1975  5  3     8.6     7.5     7.5 1
-1975  5  4     7.3     6.1     6.1 1
-1975  5  5     9.5     8.3     8.3 1
-1975  5  6    12.0    10.8    10.8 1
-1975  5  7    11.0     9.8     9.8 1
-1975  5  8    11.8    10.6    10.6 1
-1975  5  9    14.9    13.6    13.6 1
-1975  5 10    15.8    14.5    14.5 1
-1975  5 11    14.5    13.2    13.2 1
-1975  5 12    12.6    11.3    11.3 1
-1975  5 13     9.2     7.9     7.9 1
-1975  5 14    11.9    10.5    10.5 1
-1975  5 15    16.1    14.7    14.7 1
-1975  5 16    15.5    14.1    14.1 1
-1975  5 17    16.6    15.2    15.2 1
-1975  5 18    16.1    14.8    14.8 1
-1975  5 19    15.7    14.4    14.4 1
-1975  5 20    17.0    15.7    15.7 1
-1975  5 21    11.4    10.1    10.1 1
-1975  5 22     9.3     8.0     8.0 1
-1975  5 23    11.0     9.7     9.7 1
-1975  5 24     9.7     8.4     8.4 1
-1975  5 25    10.1     8.8     8.8 1
-1975  5 26    12.4    11.1    11.1 1
-1975  5 27    13.1    11.8    11.8 1
-1975  5 28     9.9     8.6     8.6 1
-1975  5 29     6.4     5.2     5.2 1
-1975  5 30     6.1     4.9     4.9 1
-1975  5 31     6.4     5.2     5.2 1
-1975  6  1     8.3     7.1     7.1 1
-1975  6  2     8.2     7.0     7.0 1
-1975  6  3    10.0     8.8     8.8 1
-1975  6  4     9.4     8.2     8.2 1
-1975  6  5    12.0    10.8    10.8 1
-1975  6  6    15.0    13.8    13.8 1
-1975  6  7    15.5    14.3    14.3 1
-1975  6  8    17.4    16.2    16.2 1
-1975  6  9    18.6    17.5    17.5 1
-1975  6 10    14.9    13.8    13.8 1
-1975  6 11    15.6    14.5    14.5 1
-1975  6 12    20.8    19.7    19.7 1
-1975  6 13    14.6    13.5    13.5 1
-1975  6 14    14.3    13.2    13.2 1
-1975  6 15    14.9    13.8    13.8 1
-1975  6 16    13.9    12.8    12.8 1
-1975  6 17    15.9    14.8    14.8 1
-1975  6 18    17.0    15.9    15.9 1
-1975  6 19    18.5    17.4    17.4 1
-1975  6 20    20.5    19.4    19.4 1
-1975  6 21    21.2    20.1    20.1 1
-1975  6 22    17.0    15.9    15.9 1
-1975  6 23    17.8    16.7    16.7 1
-1975  6 24    19.4    18.3    18.3 1
-1975  6 25    15.1    14.0    14.0 1
-1975  6 26    18.7    17.6    17.6 1
-1975  6 27    11.0     9.9     9.9 1
-1975  6 28    11.3    10.2    10.2 1
-1975  6 29    14.1    13.0    13.0 1
-1975  6 30    14.0    13.0    13.0 1
-1975  7  1    18.6    17.6    17.6 1
-1975  7  2    21.6    20.6    20.6 1
-1975  7  3    19.7    18.7    18.7 1
-1975  7  4    14.9    13.9    13.9 1
-1975  7  5    17.1    16.1    16.1 1
-1975  7  6    22.3    21.3    21.3 1
-1975  7  7    21.1    20.1    20.1 1
-1975  7  8    17.6    16.6    16.6 1
-1975  7  9    18.7    17.7    17.7 1
-1975  7 10    19.1    18.1    18.1 1
-1975  7 11    20.6    19.6    19.6 1
-1975  7 12    20.7    19.7    19.7 1
-1975  7 13    17.3    16.3    16.3 1
-1975  7 14    16.4    15.4    15.4 1
-1975  7 15    16.9    15.9    15.9 1
-1975  7 16    17.5    16.5    16.5 1
-1975  7 17    17.6    16.6    16.6 1
-1975  7 18    20.2    19.2    19.2 1
-1975  7 19    20.9    19.9    19.9 1
-1975  7 20    22.5    21.5    21.5 1
-1975  7 21    23.2    22.2    22.2 1
-1975  7 22    20.9    19.9    19.9 1
-1975  7 23    18.7    17.7    17.7 1
-1975  7 24    18.6    17.7    17.7 1
-1975  7 25    17.7    16.8    16.8 1
-1975  7 26    16.6    15.7    15.7 1
-1975  7 27    19.0    18.1    18.1 1
-1975  7 28    20.7    19.8    19.8 1
-1975  7 29    21.5    20.6    20.6 1
-1975  7 30    22.1    21.2    21.2 1
-1975  7 31    21.5    20.6    20.6 1
-1975  8  1    20.0    19.1    19.1 1
-1975  8  2    20.6    19.7    19.7 1
-1975  8  3    22.0    21.1    21.1 1
-1975  8  4    24.0    23.1    23.1 1
-1975  8  5    25.6    24.7    24.7 1
-1975  8  6    27.1    26.3    26.3 1
-1975  8  7    28.3    27.5    27.5 1
-1975  8  8    27.0    26.2    26.2 1
-1975  8  9    25.6    24.8    24.8 1
-1975  8 10    23.0    22.2    22.2 1
-1975  8 11    23.6    22.8    22.8 1
-1975  8 12    17.3    16.5    16.5 1
-1975  8 13    16.8    16.0    16.0 1
-1975  8 14    19.9    19.1    19.1 1
-1975  8 15    18.6    17.8    17.8 1
-1975  8 16    17.0    16.2    16.2 1
-1975  8 17    16.7    16.0    16.0 1
-1975  8 18    14.0    13.3    13.3 1
-1975  8 19    16.9    16.2    16.2 1
-1975  8 20    18.5    17.8    17.8 1
-1975  8 21    17.8    17.1    17.1 1
-1975  8 22    17.5    16.8    16.8 1
-1975  8 23    17.0    16.3    16.3 1
-1975  8 24    17.4    16.8    16.8 1
-1975  8 25    16.6    16.0    16.0 1
-1975  8 26    15.1    14.5    14.5 1
-1975  8 27    18.7    18.1    18.1 1
-1975  8 28    17.4    16.8    16.8 1
-1975  8 29    16.8    16.2    16.2 1
-1975  8 30    15.8    15.3    15.3 1
-1975  8 31    15.3    14.8    14.8 1
-1975  9  1    19.2    18.7    18.7 1
-1975  9  2    18.1    17.6    17.6 1
-1975  9  3    19.6    19.1    19.1 1
-1975  9  4    16.4    15.9    15.9 1
-1975  9  5    15.4    14.9    14.9 1
-1975  9  6    14.8    14.4    14.4 1
-1975  9  7     9.8     9.4     9.4 1
-1975  9  8    12.5    12.1    12.1 1
-1975  9  9    14.9    14.5    14.5 1
-1975  9 10    16.2    15.8    15.8 1
-1975  9 11    15.6    15.2    15.2 1
-1975  9 12    16.1    15.8    15.8 1
-1975  9 13    14.1    13.8    13.8 1
-1975  9 14    12.9    12.6    12.6 1
-1975  9 15    13.8    13.5    13.5 1
-1975  9 16    13.5    13.2    13.2 1
-1975  9 17    16.3    16.0    16.0 1
-1975  9 18    16.3    16.0    16.0 1
-1975  9 19    14.2    13.9    13.9 1
-1975  9 20    13.6    13.3    13.3 1
-1975  9 21    12.6    12.3    12.3 1
-1975  9 22    11.0    10.7    10.7 1
-1975  9 23    14.2    13.9    13.9 1
-1975  9 24    12.8    12.5    12.5 1
-1975  9 25    12.7    12.4    12.4 1
-1975  9 26    14.3    14.0    14.0 1
-1975  9 27    11.0    10.7    10.7 1
-1975  9 28    12.4    12.1    12.1 1
-1975  9 29    10.5    10.2    10.2 1
-1975  9 30    10.9    10.6    10.6 1
-1975 10  1    13.7    13.4    13.4 1
-1975 10  2    12.3    12.0    12.0 1
-1975 10  3    11.6    11.3    11.3 1
-1975 10  4    11.1    10.8    10.8 1
-1975 10  5    10.8    10.5    10.5 1
-1975 10  6    12.1    11.8    11.8 1
-1975 10  7     8.3     8.0     8.0 1
-1975 10  8     5.5     5.2     5.2 1
-1975 10  9     3.4     3.1     3.1 1
-1975 10 10     3.4     3.2     3.2 1
-1975 10 11     4.3     4.1     4.1 1
-1975 10 12     7.4     7.2     7.2 1
-1975 10 13     6.9     6.7     6.7 1
-1975 10 14     6.7     6.5     6.5 1
-1975 10 15     9.9     9.7     9.7 1
-1975 10 16     9.1     8.9     8.9 1
-1975 10 17     7.6     7.3     7.3 1
-1975 10 18     6.7     6.4     6.4 1
-1975 10 19     3.4     3.1     3.1 1
-1975 10 20     2.9     2.6     2.6 1
-1975 10 21     4.3     4.0     4.0 1
-1975 10 22     5.9     5.6     5.6 1
-1975 10 23     5.6     5.3     5.3 1
-1975 10 24     9.1     8.8     8.8 1
-1975 10 25     9.9     9.6     9.6 1
-1975 10 26    11.5    11.2    11.2 1
-1975 10 27     9.9     9.6     9.6 1
-1975 10 28     8.5     8.2     8.2 1
-1975 10 29     9.3     9.0     9.0 1
-1975 10 30     6.0     5.6     5.6 1
-1975 10 31     5.2     4.8     4.8 1
-1975 11  1     8.5     8.1     8.1 1
-1975 11  2     8.3     7.9     7.9 1
-1975 11  3     8.6     8.2     8.2 1
-1975 11  4     7.8     7.4     7.4 1
-1975 11  5     8.1     7.7     7.7 1
-1975 11  6     8.3     7.9     7.9 1
-1975 11  7     4.5     4.1     4.1 1
-1975 11  8     0.7     0.3     0.3 1
-1975 11  9     2.9     2.5     2.5 1
-1975 11 10     4.2     3.8     3.8 1
-1975 11 11     4.5     4.1     4.1 1
-1975 11 12     6.6     6.2     6.2 1
-1975 11 13     5.7     5.2     5.2 1
-1975 11 14     5.7     5.2     5.2 1
-1975 11 15     5.5     5.0     5.0 1
-1975 11 16     4.2     3.7     3.7 1
-1975 11 17     6.0     5.5     5.5 1
-1975 11 18     4.2     3.7     3.7 1
-1975 11 19     1.5     1.0     1.0 1
-1975 11 20    -0.6    -1.1    -1.1 1
-1975 11 21    -3.1    -3.6    -3.6 1
-1975 11 22    -4.8    -5.3    -5.3 1
-1975 11 23    -2.8    -3.3    -3.3 1
-1975 11 24     1.6     1.1     1.1 1
-1975 11 25     1.2     0.7     0.7 1
-1975 11 26     2.5     2.0     2.0 1
-1975 11 27     4.5     4.0     4.0 1
-1975 11 28     4.4     3.9     3.9 1
-1975 11 29     3.2     2.7     2.7 1
-1975 11 30     2.1     1.6     1.6 1
-1975 12  1     0.6     0.1     0.1 1
-1975 12  2     4.3     3.8     3.8 1
-1975 12  3     5.5     5.0     5.0 1
-1975 12  4     3.3     2.8     2.8 1
-1975 12  5     1.2     0.6     0.6 1
-1975 12  6    -0.3    -0.9    -0.9 1
-1975 12  7     0.3    -0.3    -0.3 1
-1975 12  8     0.8     0.2     0.2 1
-1975 12  9     0.9     0.3     0.3 1
-1975 12 10    -1.2    -1.8    -1.8 1
-1975 12 11     0.3    -0.3    -0.3 1
-1975 12 12     4.1     3.5     3.5 1
-1975 12 13    -2.8    -3.4    -3.4 1
-1975 12 14    -1.1    -1.7    -1.7 1
-1975 12 15     5.0     4.4     4.4 1
-1975 12 16     2.8     2.2     2.2 1
-1975 12 17    -5.5    -6.1    -6.1 1
-1975 12 18    -5.1    -5.7    -5.7 1
-1975 12 19    -2.3    -2.9    -2.9 1
-1975 12 20    -0.9    -1.5    -1.5 1
-1975 12 21     4.3     3.7     3.7 1
-1975 12 22     4.3     3.7     3.7 1
-1975 12 23     5.1     4.5     4.5 1
-1975 12 24     0.5    -0.1    -0.1 1
-1975 12 25    -3.6    -4.3    -4.3 1
-1975 12 26    -3.8    -4.5    -4.5 1
-1975 12 27     3.3     2.6     2.6 1
-1975 12 28     7.5     6.8     6.8 1
-1975 12 29     3.0     2.3     2.3 1
-1975 12 30     4.9     4.2     4.2 1
-1975 12 31     4.2     3.5     3.5 1
-1976  1  1    -0.7    -1.4    -1.4 1
-1976  1  2    -4.2    -4.9    -4.9 1
-1976  1  3    -2.5    -3.2    -3.2 1
-1976  1  4    -5.3    -6.0    -6.0 1
-1976  1  5    -3.6    -4.3    -4.3 1
-1976  1  6    -5.2    -5.9    -5.9 1
-1976  1  7    -4.2    -4.9    -4.9 1
-1976  1  8     4.6     3.9     3.9 1
-1976  1  9     0.6    -0.1    -0.1 1
-1976  1 10    -3.6    -4.3    -4.3 1
-1976  1 11    -0.3    -1.1    -1.1 1
-1976  1 12    -4.2    -5.0    -5.0 1
-1976  1 13    -4.5    -5.3    -5.3 1
-1976  1 14    -8.6    -9.4    -9.4 1
-1976  1 15   -11.8   -12.6   -12.6 1
-1976  1 16    -8.2    -9.0    -9.0 1
-1976  1 17    -5.5    -6.3    -6.3 1
-1976  1 18    -2.8    -3.6    -3.6 1
-1976  1 19     1.4     0.6     0.6 1
-1976  1 20     3.6     2.8     2.8 1
-1976  1 21     0.5    -0.3    -0.3 1
-1976  1 22    -3.7    -4.5    -4.5 1
-1976  1 23    -5.1    -5.9    -5.9 1
-1976  1 24    -6.2    -7.0    -7.0 1
-1976  1 25    -6.9    -7.7    -7.7 1
-1976  1 26    -7.1    -7.9    -7.9 1
-1976  1 27    -8.9    -9.7    -9.7 1
-1976  1 28   -11.3   -12.1   -12.1 1
-1976  1 29    -6.2    -7.0    -7.0 1
-1976  1 30    -5.9    -6.7    -6.7 1
-1976  1 31    -7.5    -8.3    -8.3 1
-1976  2  1    -5.0    -5.8    -5.8 1
-1976  2  2    -3.1    -3.9    -3.9 1
-1976  2  3    -5.4    -6.2    -6.2 1
-1976  2  4    -5.8    -6.6    -6.6 1
-1976  2  5    -4.5    -5.3    -5.3 1
-1976  2  6    -3.2    -4.0    -4.0 1
-1976  2  7    -3.5    -4.3    -4.3 1
-1976  2  8    -3.9    -4.7    -4.7 1
-1976  2  9    -5.1    -5.9    -5.9 1
-1976  2 10     0.4    -0.4    -0.4 1
-1976  2 11     1.0     0.2     0.2 1
-1976  2 12    -0.8    -1.6    -1.6 1
-1976  2 13    -0.5    -1.3    -1.3 1
-1976  2 14    -4.3    -5.1    -5.1 1
-1976  2 15    -6.5    -7.3    -7.3 1
-1976  2 16    -1.5    -2.4    -2.4 1
-1976  2 17     0.1    -0.8    -0.8 1
-1976  2 18    -0.1    -1.0    -1.0 1
-1976  2 19     0.0    -0.9    -0.9 1
-1976  2 20     0.0    -0.9    -0.9 1
-1976  2 21    -1.6    -2.5    -2.5 1
-1976  2 22    -2.2    -3.1    -3.1 1
-1976  2 23    -1.7    -2.6    -2.6 1
-1976  2 24     0.8    -0.1    -0.1 1
-1976  2 25     6.4     5.5     5.5 1
-1976  2 26     7.0     6.1     6.1 1
-1976  2 27     3.5     2.6     2.6 1
-1976  2 28     0.8    -0.1    -0.1 1
-1976  2 29     3.3     2.4     2.4 1
-1976  3  1     3.9     3.0     3.0 1
-1976  3  2     2.6     1.7     1.7 1
-1976  3  3    -1.0    -1.9    -1.9 1
-1976  3  4    -0.8    -1.7    -1.7 1
-1976  3  5    -2.9    -3.8    -3.8 1
-1976  3  6    -2.8    -3.7    -3.7 1
-1976  3  7    -1.5    -2.4    -2.4 1
-1976  3  8    -2.0    -2.9    -2.9 1
-1976  3  9    -2.7    -3.6    -3.6 1
-1976  3 10    -5.1    -6.0    -6.0 1
-1976  3 11    -4.5    -5.4    -5.4 1
-1976  3 12    -6.2    -7.1    -7.1 1
-1976  3 13    -6.6    -7.6    -7.6 1
-1976  3 14    -5.2    -6.2    -6.2 1
-1976  3 15    -6.1    -7.1    -7.1 1
-1976  3 16    -5.8    -6.8    -6.8 1
-1976  3 17    -2.9    -3.8    -3.8 1
-1976  3 18    -2.8    -3.7    -3.7 1
-1976  3 19    -5.1    -6.0    -6.0 1
-1976  3 20    -6.5    -7.4    -7.4 1
-1976  3 21    -6.7    -7.6    -7.6 1
-1976  3 22    -5.2    -6.1    -6.1 1
-1976  3 23    -3.6    -4.5    -4.5 1
-1976  3 24    -4.3    -5.2    -5.2 1
-1976  3 25    -0.5    -1.4    -1.4 1
-1976  3 26     0.7    -0.2    -0.2 1
-1976  3 27     3.2     2.3     2.3 1
-1976  3 28     6.4     5.5     5.5 1
-1976  3 29     4.7     3.8     3.8 1
-1976  3 30     3.3     2.4     2.4 1
-1976  3 31     3.3     2.4     2.4 1
-1976  4  1     3.4     2.5     2.5 1
-1976  4  2     3.7     2.8     2.8 1
-1976  4  3     3.2     2.3     2.3 1
-1976  4  4     0.0    -0.9    -0.9 1
-1976  4  5     3.2     2.3     2.3 1
-1976  4  6     3.1     2.3     2.3 1
-1976  4  7     2.1     1.3     1.3 1
-1976  4  8     1.6     0.8     0.8 1
-1976  4  9     3.6     2.8     2.8 1
-1976  4 10     6.6     5.8     5.8 1
-1976  4 11     8.2     7.4     7.4 1
-1976  4 12     7.9     7.1     7.1 1
-1976  4 13     5.6     4.8     4.8 1
-1976  4 14     3.6     2.8     2.8 1
-1976  4 15     8.0     7.2     7.2 1
-1976  4 16    11.3    10.5    10.5 1
-1976  4 17    11.0    10.2    10.2 1
-1976  4 18     6.9     6.0     6.0 1
-1976  4 19     5.1     4.2     4.2 1
-1976  4 20     5.3     4.4     4.4 1
-1976  4 21     2.9     2.0     2.0 1
-1976  4 22     3.6     2.7     2.7 1
-1976  4 23     3.8     2.8     2.8 1
-1976  4 24     5.3     4.3     4.3 1
-1976  4 25     4.0     3.0     3.0 1
-1976  4 26     0.7    -0.3    -0.3 1
-1976  4 27     0.0    -1.0    -1.0 1
-1976  4 28     0.8    -0.2    -0.2 1
-1976  4 29     2.1     1.0     1.0 1
-1976  4 30     3.8     2.7     2.7 1
-1976  5  1     1.4     0.3     0.3 1
-1976  5  2     3.0     1.9     1.9 1
-1976  5  3     6.4     5.3     5.3 1
-1976  5  4     5.6     4.4     4.4 1
-1976  5  5     4.3     3.1     3.1 1
-1976  5  6     8.3     7.1     7.1 1
-1976  5  7    10.1     8.9     8.9 1
-1976  5  8    11.7    10.5    10.5 1
-1976  5  9    12.9    11.6    11.6 1
-1976  5 10    14.9    13.6    13.6 1
-1976  5 11    14.6    13.3    13.3 1
-1976  5 12    11.4    10.1    10.1 1
-1976  5 13    10.3     9.0     9.0 1
-1976  5 14    11.1     9.7     9.7 1
-1976  5 15    12.6    11.2    11.2 1
-1976  5 16    15.3    13.9    13.9 1
-1976  5 17    16.0    14.6    14.6 1
-1976  5 18    17.4    16.1    16.1 1
-1976  5 19    15.8    14.5    14.5 1
-1976  5 20    15.1    13.8    13.8 1
-1976  5 21    12.6    11.3    11.3 1
-1976  5 22    11.0     9.7     9.7 1
-1976  5 23    13.9    12.6    12.6 1
-1976  5 24    15.6    14.3    14.3 1
-1976  5 25    17.9    16.6    16.6 1
-1976  5 26    12.6    11.3    11.3 1
-1976  5 27     7.5     6.2     6.2 1
-1976  5 28     6.7     5.4     5.4 1
-1976  5 29     6.1     4.9     4.9 1
-1976  5 30     7.4     6.2     6.2 1
-1976  5 31     9.1     7.9     7.9 1
-1976  6  1    11.0     9.8     9.8 1
-1976  6  2     9.8     8.6     8.6 1
-1976  6  3    11.1     9.9     9.9 1
-1976  6  4    14.3    13.1    13.1 1
-1976  6  5    12.8    11.6    11.6 1
-1976  6  6    11.9    10.7    10.7 1
-1976  6  7    13.4    12.2    12.2 1
-1976  6  8    11.0     9.8     9.8 1
-1976  6  9    12.7    11.6    11.6 1
-1976  6 10    13.5    12.4    12.4 1
-1976  6 11    10.7     9.6     9.6 1
-1976  6 12    13.7    12.6    12.6 1
-1976  6 13    16.1    15.0    15.0 1
-1976  6 14    17.7    16.6    16.6 1
-1976  6 15    11.3    10.2    10.2 1
-1976  6 16    13.6    12.5    12.5 1
-1976  6 17    12.6    11.5    11.5 1
-1976  6 18    11.8    10.7    10.7 1
-1976  6 19    14.6    13.5    13.5 1
-1976  6 20    13.4    12.3    12.3 1
-1976  6 21    13.3    12.2    12.2 1
-1976  6 22    14.9    13.8    13.8 1
-1976  6 23    15.8    14.7    14.7 1
-1976  6 24    19.9    18.8    18.8 1
-1976  6 25    21.6    20.5    20.5 1
-1976  6 26    24.3    23.2    23.2 1
-1976  6 27    22.8    21.7    21.7 1
-1976  6 28    19.6    18.5    18.5 1
-1976  6 29    17.1    16.0    16.0 1
-1976  6 30    19.6    18.6    18.6 1
-1976  7  1    15.7    14.7    14.7 1
-1976  7  2    20.4    19.4    19.4 1
-1976  7  3    17.1    16.1    16.1 1
-1976  7  4    15.4    14.4    14.4 1
-1976  7  5    15.1    14.1    14.1 1
-1976  7  6    17.0    16.0    16.0 1
-1976  7  7    17.0    16.0    16.0 1
-1976  7  8    11.7    10.7    10.7 1
-1976  7  9    14.1    13.1    13.1 1
-1976  7 10    17.2    16.2    16.2 1
-1976  7 11    19.2    18.2    18.2 1
-1976  7 12    16.5    15.5    15.5 1
-1976  7 13    17.1    16.1    16.1 1
-1976  7 14    19.0    18.0    18.0 1
-1976  7 15    19.3    18.3    18.3 1
-1976  7 16    21.4    20.4    20.4 1
-1976  7 17    20.7    19.7    19.7 1
-1976  7 18    21.2    20.2    20.2 1
-1976  7 19    18.6    17.6    17.6 1
-1976  7 20    19.6    18.6    18.6 1
-1976  7 21    20.9    19.9    19.9 1
-1976  7 22    18.9    17.9    17.9 1
-1976  7 23    19.0    18.0    18.0 1
-1976  7 24    20.7    19.8    19.8 1
-1976  7 25    17.7    16.8    16.8 1
-1976  7 26    20.6    19.7    19.7 1
-1976  7 27    17.6    16.7    16.7 1
-1976  7 28    15.9    15.0    15.0 1
-1976  7 29    14.5    13.6    13.6 1
-1976  7 30    14.9    14.0    14.0 1
-1976  7 31    11.6    10.7    10.7 1
-1976  8  1    14.4    13.5    13.5 1
-1976  8  2    16.2    15.3    15.3 1
-1976  8  3    15.3    14.4    14.4 1
-1976  8  4    14.6    13.7    13.7 1
-1976  8  5    15.1    14.2    14.2 1
-1976  8  6    15.1    14.3    14.3 1
-1976  8  7    15.5    14.7    14.7 1
-1976  8  8    17.6    16.8    16.8 1
-1976  8  9    18.0    17.2    17.2 1
-1976  8 10    18.3    17.5    17.5 1
-1976  8 11    18.5    17.7    17.7 1
-1976  8 12    18.7    17.9    17.9 1
-1976  8 13    18.5    17.7    17.7 1
-1976  8 14    18.5    17.7    17.7 1
-1976  8 15    18.3    17.5    17.5 1
-1976  8 16    19.7    18.9    18.9 1
-1976  8 17    19.7    19.0    19.0 1
-1976  8 18    18.9    18.2    18.2 1
-1976  8 19    19.0    18.3    18.3 1
-1976  8 20    14.2    13.5    13.5 1
-1976  8 21    13.6    12.9    12.9 1
-1976  8 22    17.0    16.3    16.3 1
-1976  8 23    18.2    17.5    17.5 1
-1976  8 24    20.0    19.4    19.4 1
-1976  8 25    18.0    17.4    17.4 1
-1976  8 26    15.7    15.1    15.1 1
-1976  8 27    15.0    14.4    14.4 1
-1976  8 28    17.4    16.8    16.8 1
-1976  8 29    19.8    19.2    19.2 1
-1976  8 30    20.3    19.8    19.8 1
-1976  8 31    13.9    13.4    13.4 1
-1976  9  1    13.4    12.9    12.9 1
-1976  9  2    13.1    12.6    12.6 1
-1976  9  3    10.2     9.7     9.7 1
-1976  9  4     9.2     8.7     8.7 1
-1976  9  5    10.7    10.2    10.2 1
-1976  9  6    14.0    13.6    13.6 1
-1976  9  7    14.6    14.2    14.2 1
-1976  9  8     9.9     9.5     9.5 1
-1976  9  9     9.9     9.5     9.5 1
-1976  9 10    13.4    13.0    13.0 1
-1976  9 11    12.6    12.2    12.2 1
-1976  9 12    10.7    10.4    10.4 1
-1976  9 13    14.1    13.8    13.8 1
-1976  9 14    15.4    15.1    15.1 1
-1976  9 15    11.2    10.9    10.9 1
-1976  9 16     8.1     7.8     7.8 1
-1976  9 17     9.3     9.0     9.0 1
-1976  9 18     9.9     9.6     9.6 1
-1976  9 19    10.3    10.0    10.0 1
-1976  9 20     9.6     9.3     9.3 1
-1976  9 21     9.8     9.5     9.5 1
-1976  9 22     9.7     9.4     9.4 1
-1976  9 23    11.3    11.0    11.0 1
-1976  9 24     9.9     9.6     9.6 1
-1976  9 25     6.5     6.2     6.2 1
-1976  9 26     8.8     8.5     8.5 1
-1976  9 27     9.0     8.7     8.7 1
-1976  9 28     7.3     7.0     7.0 1
-1976  9 29     5.0     4.7     4.7 1
-1976  9 30     4.5     4.2     4.2 1
-1976 10  1     5.9     5.6     5.6 1
-1976 10  2     6.6     6.3     6.3 1
-1976 10  3     9.0     8.7     8.7 1
-1976 10  4    10.0     9.7     9.7 1
-1976 10  5     9.3     9.0     9.0 1
-1976 10  6     8.6     8.3     8.3 1
-1976 10  7    12.0    11.7    11.7 1
-1976 10  8    11.1    10.8    10.8 1
-1976 10  9     8.9     8.6     8.6 1
-1976 10 10     7.6     7.4     7.4 1
-1976 10 11     8.8     8.6     8.6 1
-1976 10 12     7.9     7.7     7.7 1
-1976 10 13     4.9     4.7     4.7 1
-1976 10 14     3.3     3.1     3.1 1
-1976 10 15     3.9     3.7     3.7 1
-1976 10 16     4.5     4.3     4.3 1
-1976 10 17     4.0     3.7     3.7 1
-1976 10 18     4.0     3.7     3.7 1
-1976 10 19     4.0     3.7     3.7 1
-1976 10 20     5.2     4.9     4.9 1
-1976 10 21     5.6     5.3     5.3 1
-1976 10 22     5.9     5.6     5.6 1
-1976 10 23     7.1     6.8     6.8 1
-1976 10 24     5.7     5.4     5.4 1
-1976 10 25     6.0     5.7     5.7 1
-1976 10 26     5.4     5.1     5.1 1
-1976 10 27     4.1     3.8     3.8 1
-1976 10 28     3.4     3.1     3.1 1
-1976 10 29     3.9     3.6     3.6 1
-1976 10 30     3.1     2.7     2.7 1
-1976 10 31     1.3     0.9     0.9 1
-1976 11  1    -0.3    -0.7    -0.7 1
-1976 11  2    -1.4    -1.8    -1.8 1
-1976 11  3     4.9     4.5     4.5 1
-1976 11  4     3.8     3.4     3.4 1
-1976 11  5     5.9     5.5     5.5 1
-1976 11  6     6.3     5.9     5.9 1
-1976 11  7     6.8     6.4     6.4 1
-1976 11  8     7.9     7.5     7.5 1
-1976 11  9     7.4     7.0     7.0 1
-1976 11 10     6.4     6.0     6.0 1
-1976 11 11     7.0     6.6     6.6 1
-1976 11 12     7.1     6.7     6.7 1
-1976 11 13     4.5     4.0     4.0 1
-1976 11 14     2.1     1.6     1.6 1
-1976 11 15     0.3    -0.2    -0.2 1
-1976 11 16     2.1     1.6     1.6 1
-1976 11 17     1.6     1.1     1.1 1
-1976 11 18    -0.8    -1.3    -1.3 1
-1976 11 19     1.0     0.5     0.5 1
-1976 11 20     1.4     0.9     0.9 1
-1976 11 21     4.4     3.9     3.9 1
-1976 11 22    -0.1    -0.6    -0.6 1
-1976 11 23    -1.2    -1.7    -1.7 1
-1976 11 24    -4.4    -4.9    -4.9 1
-1976 11 25    -4.4    -4.9    -4.9 1
-1976 11 26     1.7     1.2     1.2 1
-1976 11 27     4.9     4.4     4.4 1
-1976 11 28     1.9     1.4     1.4 1
-1976 11 29     5.1     4.6     4.6 1
-1976 11 30     4.5     4.0     4.0 1
-1976 12  1     3.3     2.8     2.8 1
-1976 12  2     0.6     0.1     0.1 1
-1976 12  3     1.5     1.0     1.0 1
-1976 12  4     3.3     2.8     2.8 1
-1976 12  5     3.6     3.0     3.0 1
-1976 12  6     2.4     1.8     1.8 1
-1976 12  7     3.3     2.7     2.7 1
-1976 12  8     3.9     3.3     3.3 1
-1976 12  9     2.1     1.5     1.5 1
-1976 12 10     1.0     0.4     0.4 1
-1976 12 11    -0.1    -0.7    -0.7 1
-1976 12 12     0.6     0.0     0.0 1
-1976 12 13    -2.2    -2.8    -2.8 1
-1976 12 14    -2.0    -2.6    -2.6 1
-1976 12 15    -0.3    -0.9    -0.9 1
-1976 12 16    -0.4    -1.0    -1.0 1
-1976 12 17    -1.2    -1.8    -1.8 1
-1976 12 18    -2.7    -3.3    -3.3 1
-1976 12 19    -4.6    -5.2    -5.2 1
-1976 12 20    -6.8    -7.4    -7.4 1
-1976 12 21    -3.9    -4.5    -4.5 1
-1976 12 22    -0.6    -1.2    -1.2 1
-1976 12 23    -6.1    -6.7    -6.7 1
-1976 12 24    -5.1    -5.7    -5.7 1
-1976 12 25    -9.3   -10.0   -10.0 1
-1976 12 26   -11.8   -12.5   -12.5 1
-1976 12 27   -10.2   -10.9   -10.9 1
-1976 12 28    -8.0    -8.7    -8.7 1
-1976 12 29    -8.4    -9.1    -9.1 1
-1976 12 30    -3.0    -3.7    -3.7 1
-1976 12 31    -1.3    -2.0    -2.0 1
-1977  1  1     0.3    -0.4    -0.4 1
-1977  1  2     0.7     0.0     0.0 1
-1977  1  3     1.2     0.5     0.5 1
-1977  1  4     0.5    -0.2    -0.2 1
-1977  1  5     0.5    -0.2    -0.2 1
-1977  1  6     0.6    -0.1    -0.1 1
-1977  1  7     0.0    -0.7    -0.7 1
-1977  1  8    -3.3    -4.0    -4.0 1
-1977  1  9    -6.4    -7.1    -7.1 1
-1977  1 10    -1.6    -2.3    -2.3 1
-1977  1 11     0.6    -0.2    -0.2 1
-1977  1 12    -0.2    -1.0    -1.0 1
-1977  1 13     1.5     0.7     0.7 1
-1977  1 14    -0.5    -1.3    -1.3 1
-1977  1 15     0.3    -0.5    -0.5 1
-1977  1 16    -1.9    -2.7    -2.7 1
-1977  1 17    -0.8    -1.6    -1.6 1
-1977  1 18    -1.2    -2.0    -2.0 1
-1977  1 19    -2.3    -3.1    -3.1 1
-1977  1 20    -3.6    -4.4    -4.4 1
-1977  1 21    -4.5    -5.3    -5.3 1
-1977  1 22    -3.3    -4.1    -4.1 1
-1977  1 23    -1.6    -2.4    -2.4 1
-1977  1 24    -5.4    -6.2    -6.2 1
-1977  1 25    -4.8    -5.6    -5.6 1
-1977  1 26    -0.2    -1.0    -1.0 1
-1977  1 27     1.8     1.0     1.0 1
-1977  1 28    -5.8    -6.6    -6.6 1
-1977  1 29    -2.0    -2.8    -2.8 1
-1977  1 30    -0.4    -1.2    -1.2 1
-1977  1 31    -3.8    -4.6    -4.6 1
-1977  2  1    -5.8    -6.6    -6.6 1
-1977  2  2    -5.0    -5.8    -5.8 1
-1977  2  3    -2.5    -3.3    -3.3 1
-1977  2  4    -0.1    -0.9    -0.9 1
-1977  2  5     1.3     0.5     0.5 1
-1977  2  6     0.8     0.0     0.0 1
-1977  2  7     0.4    -0.4    -0.4 1
-1977  2  8    -0.9    -1.7    -1.7 1
-1977  2  9    -5.3    -6.1    -6.1 1
-1977  2 10    -6.8    -7.6    -7.6 1
-1977  2 11    -8.5    -9.3    -9.3 1
-1977  2 12   -10.8   -11.6   -11.6 1
-1977  2 13    -6.9    -7.7    -7.7 1
-1977  2 14    -2.9    -3.7    -3.7 1
-1977  2 15    -4.1    -5.0    -5.0 1
-1977  2 16    -5.3    -6.2    -6.2 1
-1977  2 17    -6.9    -7.8    -7.8 1
-1977  2 18    -5.5    -6.4    -6.4 1
-1977  2 19    -1.7    -2.6    -2.6 1
-1977  2 20    -0.5    -1.4    -1.4 1
-1977  2 21     0.3    -0.6    -0.6 1
-1977  2 22    -2.0    -2.9    -2.9 1
-1977  2 23    -4.3    -5.2    -5.2 1
-1977  2 24    -6.0    -6.9    -6.9 1
-1977  2 25    -8.5    -9.4    -9.4 1
-1977  2 26    -7.4    -8.3    -8.3 1
-1977  2 27    -6.7    -7.6    -7.6 1
-1977  2 28    -4.5    -5.4    -5.4 1
-1977  3  1    -1.5    -2.4    -2.4 1
-1977  3  2    -2.0    -2.9    -2.9 1
-1977  3  3    -4.3    -5.2    -5.2 1
-1977  3  4     0.4    -0.5    -0.5 1
-1977  3  5     0.4    -0.5    -0.5 1
-1977  3  6    -1.7    -2.6    -2.6 1
-1977  3  7     0.6    -0.3    -0.3 1
-1977  3  8     3.8     2.9     2.9 1
-1977  3  9     2.8     1.9     1.9 1
-1977  3 10     2.9     2.0     2.0 1
-1977  3 11     4.2     3.3     3.3 1
-1977  3 12     3.8     2.9     2.9 1
-1977  3 13     3.5     2.5     2.5 1
-1977  3 14     1.0     0.0     0.0 1
-1977  3 15     2.3     1.3     1.3 1
-1977  3 16     3.1     2.1     2.1 1
-1977  3 17     4.0     3.1     3.1 1
-1977  3 18     5.0     4.1     4.1 1
-1977  3 19     2.3     1.4     1.4 1
-1977  3 20     1.1     0.2     0.2 1
-1977  3 21     0.8    -0.1    -0.1 1
-1977  3 22     0.3    -0.6    -0.6 1
-1977  3 23     3.7     2.8     2.8 1
-1977  3 24     5.7     4.8     4.8 1
-1977  3 25     5.1     4.2     4.2 1
-1977  3 26     1.5     0.6     0.6 1
-1977  3 27    -0.8    -1.7    -1.7 1
-1977  3 28    -2.0    -2.9    -2.9 1
-1977  3 29    -4.2    -5.1    -5.1 1
-1977  3 30    -2.0    -2.9    -2.9 1
-1977  3 31     0.5    -0.4    -0.4 1
-1977  4  1    -1.2    -2.1    -2.1 1
-1977  4  2     3.8     2.9     2.9 1
-1977  4  3     3.6     2.7     2.7 1
-1977  4  4     1.2     0.3     0.3 1
-1977  4  5     1.3     0.4     0.4 1
-1977  4  6     2.4     1.6     1.6 1
-1977  4  7    -1.9    -2.7    -2.7 1
-1977  4  8    -5.0    -5.8    -5.8 1
-1977  4  9    -2.6    -3.4    -3.4 1
-1977  4 10    -2.0    -2.8    -2.8 1
-1977  4 11     1.7     0.9     0.9 1
-1977  4 12     2.4     1.6     1.6 1
-1977  4 13     1.3     0.5     0.5 1
-1977  4 14     3.9     3.1     3.1 1
-1977  4 15     3.0     2.2     2.2 1
-1977  4 16     1.5     0.7     0.7 1
-1977  4 17     2.7     1.9     1.9 1
-1977  4 18     2.3     1.4     1.4 1
-1977  4 19     3.1     2.2     2.2 1
-1977  4 20     5.3     4.4     4.4 1
-1977  4 21     6.4     5.5     5.5 1
-1977  4 22     7.7     6.8     6.8 1
-1977  4 23     6.5     5.5     5.5 1
-1977  4 24     2.9     1.9     1.9 1
-1977  4 25     5.4     4.4     4.4 1
-1977  4 26     5.4     4.4     4.4 1
-1977  4 27     7.8     6.8     6.8 1
-1977  4 28     9.4     8.4     8.4 1
-1977  4 29     9.2     8.1     8.1 1
-1977  4 30     9.5     8.4     8.4 1
-1977  5  1    11.3    10.2    10.2 1
-1977  5  2     9.0     7.9     7.9 1
-1977  5  3     7.2     6.1     6.1 1
-1977  5  4    10.4     9.2     9.2 1
-1977  5  5    13.7    12.5    12.5 1
-1977  5  6    16.7    15.5    15.5 1
-1977  5  7    10.5     9.3     9.3 1
-1977  5  8     6.6     5.4     5.4 1
-1977  5  9     9.2     7.9     7.9 1
-1977  5 10     9.9     8.6     8.6 1
-1977  5 11     9.6     8.3     8.3 1
-1977  5 12     8.8     7.5     7.5 1
-1977  5 13    11.2     9.9     9.9 1
-1977  5 14    10.2     8.8     8.8 1
-1977  5 15     9.2     7.8     7.8 1
-1977  5 16     9.2     7.8     7.8 1
-1977  5 17     9.1     7.7     7.7 1
-1977  5 18    10.2     8.9     8.9 1
-1977  5 19     9.7     8.4     8.4 1
-1977  5 20    11.7    10.4    10.4 1
-1977  5 21    12.7    11.4    11.4 1
-1977  5 22    13.2    11.9    11.9 1
-1977  5 23    14.5    13.2    13.2 1
-1977  5 24    12.0    10.7    10.7 1
-1977  5 25     6.9     5.6     5.6 1
-1977  5 26     9.5     8.2     8.2 1
-1977  5 27    14.5    13.2    13.2 1
-1977  5 28    11.6    10.3    10.3 1
-1977  5 29     4.9     3.7     3.7 1
-1977  5 30     5.1     3.9     3.9 1
-1977  5 31     7.5     6.3     6.3 1
-1977  6  1    10.7     9.5     9.5 1
-1977  6  2    12.4    11.2    11.2 1
-1977  6  3    12.4    11.2    11.2 1
-1977  6  4    11.8    10.6    10.6 1
-1977  6  5    11.3    10.1    10.1 1
-1977  6  6    11.3    10.1    10.1 1
-1977  6  7    11.2    10.0    10.0 1
-1977  6  8    13.7    12.5    12.5 1
-1977  6  9    15.0    13.9    13.9 1
-1977  6 10    14.2    13.1    13.1 1
-1977  6 11    20.8    19.7    19.7 1
-1977  6 12    21.1    20.0    20.0 1
-1977  6 13    19.5    18.4    18.4 1
-1977  6 14    21.5    20.4    20.4 1
-1977  6 15    22.4    21.3    21.3 1
-1977  6 16    15.6    14.5    14.5 1
-1977  6 17    17.9    16.8    16.8 1
-1977  6 18    16.2    15.1    15.1 1
-1977  6 19    18.9    17.8    17.8 1
-1977  6 20    13.5    12.4    12.4 1
-1977  6 21    14.3    13.2    13.2 1
-1977  6 22    12.7    11.6    11.6 1
-1977  6 23    14.2    13.1    13.1 1
-1977  6 24    15.5    14.4    14.4 1
-1977  6 25    16.2    15.1    15.1 1
-1977  6 26    14.8    13.7    13.7 1
-1977  6 27    13.4    12.3    12.3 1
-1977  6 28    13.5    12.4    12.4 1
-1977  6 29    14.2    13.1    13.1 1
-1977  6 30    14.1    13.1    13.1 1
-1977  7  1    15.0    14.0    14.0 1
-1977  7  2    10.8     9.8     9.8 1
-1977  7  3    12.2    11.2    11.2 1
-1977  7  4    17.5    16.5    16.5 1
-1977  7  5    15.2    14.2    14.2 1
-1977  7  6    14.9    13.9    13.9 1
-1977  7  7    15.0    14.0    14.0 1
-1977  7  8    16.1    15.1    15.1 1
-1977  7  9    17.6    16.6    16.6 1
-1977  7 10    18.1    17.1    17.1 1
-1977  7 11    18.3    17.3    17.3 1
-1977  7 12    17.2    16.2    16.2 1
-1977  7 13    11.0    10.0    10.0 1
-1977  7 14     8.9     7.9     7.9 1
-1977  7 15     8.1     7.1     7.1 1
-1977  7 16    11.4    10.4    10.4 1
-1977  7 17    11.4    10.4    10.4 1
-1977  7 18    11.0    10.0    10.0 1
-1977  7 19    11.3    10.3    10.3 1
-1977  7 20    14.8    13.8    13.8 1
-1977  7 21    15.7    14.7    14.7 1
-1977  7 22    14.5    13.5    13.5 1
-1977  7 23    14.3    13.3    13.3 1
-1977  7 24    13.9    13.0    13.0 1
-1977  7 25    14.8    13.9    13.9 1
-1977  7 26    14.7    13.8    13.8 1
-1977  7 27    15.4    14.5    14.5 1
-1977  7 28    16.4    15.5    15.5 1
-1977  7 29    17.6    16.7    16.7 1
-1977  7 30    17.3    16.4    16.4 1
-1977  7 31    17.5    16.6    16.6 1
-1977  8  1    18.1    17.2    17.2 1
-1977  8  2    19.0    18.1    18.1 1
-1977  8  3    17.1    16.2    16.2 1
-1977  8  4    19.3    18.4    18.4 1
-1977  8  5    17.8    16.9    16.9 1
-1977  8  6    17.6    16.8    16.8 1
-1977  8  7    16.4    15.6    15.6 1
-1977  8  8    16.0    15.2    15.2 1
-1977  8  9    16.7    15.9    15.9 1
-1977  8 10    15.4    14.6    14.6 1
-1977  8 11    15.6    14.8    14.8 1
-1977  8 12    13.7    12.9    12.9 1
-1977  8 13    14.7    13.9    13.9 1
-1977  8 14    15.1    14.3    14.3 1
-1977  8 15    14.4    13.6    13.6 1
-1977  8 16    15.9    15.1    15.1 1
-1977  8 17    16.3    15.6    15.6 1
-1977  8 18    14.4    13.7    13.7 1
-1977  8 19    11.5    10.8    10.8 1
-1977  8 20    11.0    10.3    10.3 1
-1977  8 21    11.4    10.7    10.7 1
-1977  8 22    13.6    12.9    12.9 1
-1977  8 23    13.3    12.6    12.6 1
-1977  8 24    13.8    13.2    13.2 1
-1977  8 25    13.7    13.1    13.1 1
-1977  8 26    16.4    15.8    15.8 1
-1977  8 27    15.1    14.5    14.5 1
-1977  8 28    12.4    11.8    11.8 1
-1977  8 29    14.1    13.5    13.5 1
-1977  8 30    15.6    15.1    15.1 1
-1977  8 31    17.2    16.7    16.7 1
-1977  9  1    16.3    15.8    15.8 1
-1977  9  2    17.3    16.8    16.8 1
-1977  9  3    16.5    16.0    16.0 1
-1977  9  4    16.0    15.5    15.5 1
-1977  9  5    13.2    12.7    12.7 1
-1977  9  6    14.3    13.9    13.9 1
-1977  9  7    12.9    12.5    12.5 1
-1977  9  8    11.4    11.0    11.0 1
-1977  9  9    11.1    10.7    10.7 1
-1977  9 10     9.0     8.6     8.6 1
-1977  9 11     8.2     7.8     7.8 1
-1977  9 12     6.7     6.4     6.4 1
-1977  9 13     7.5     7.2     7.2 1
-1977  9 14     7.7     7.4     7.4 1
-1977  9 15     7.9     7.6     7.6 1
-1977  9 16     6.0     5.7     5.7 1
-1977  9 17     6.6     6.3     6.3 1
-1977  9 18     8.3     8.0     8.0 1
-1977  9 19    10.4    10.1    10.1 1
-1977  9 20    11.3    11.0    11.0 1
-1977  9 21    11.8    11.5    11.5 1
-1977  9 22     9.1     8.8     8.8 1
-1977  9 23     7.0     6.7     6.7 1
-1977  9 24     7.6     7.3     7.3 1
-1977  9 25     8.1     7.8     7.8 1
-1977  9 26     8.2     7.9     7.9 1
-1977  9 27     8.5     8.2     8.2 1
-1977  9 28     8.2     7.9     7.9 1
-1977  9 29    10.7    10.4    10.4 1
-1977  9 30    10.5    10.2    10.2 1
-1977 10  1     8.5     8.2     8.2 1
-1977 10  2     4.9     4.6     4.6 1
-1977 10  3     3.5     3.2     3.2 1
-1977 10  4     3.9     3.6     3.6 1
-1977 10  5     9.1     8.8     8.8 1
-1977 10  6     7.6     7.3     7.3 1
-1977 10  7     5.6     5.3     5.3 1
-1977 10  8     6.5     6.2     6.2 1
-1977 10  9     8.2     7.9     7.9 1
-1977 10 10    11.1    10.9    10.9 1
-1977 10 11    11.4    11.2    11.2 1
-1977 10 12     7.7     7.5     7.5 1
-1977 10 13    10.0     9.8     9.8 1
-1977 10 14     5.7     5.5     5.5 1
-1977 10 15     5.7     5.5     5.5 1
-1977 10 16     8.1     7.9     7.9 1
-1977 10 17     7.9     7.6     7.6 1
-1977 10 18     8.3     8.0     8.0 1
-1977 10 19     8.0     7.7     7.7 1
-1977 10 20     7.7     7.4     7.4 1
-1977 10 21     9.0     8.7     8.7 1
-1977 10 22    10.5    10.2    10.2 1
-1977 10 23    11.2    10.9    10.9 1
-1977 10 24    10.5    10.2    10.2 1
-1977 10 25    11.4    11.1    11.1 1
-1977 10 26     9.3     9.0     9.0 1
-1977 10 27     9.4     9.1     9.1 1
-1977 10 28    10.0     9.7     9.7 1
-1977 10 29     8.0     7.7     7.7 1
-1977 10 30     9.2     8.8     8.8 1
-1977 10 31     9.0     8.6     8.6 1
-1977 11  1     9.2     8.8     8.8 1
-1977 11  2     9.1     8.7     8.7 1
-1977 11  3     6.7     6.3     6.3 1
-1977 11  4     7.6     7.2     7.2 1
-1977 11  5     6.9     6.5     6.5 1
-1977 11  6     6.9     6.5     6.5 1
-1977 11  7     8.2     7.8     7.8 1
-1977 11  8     9.4     9.0     9.0 1
-1977 11  9     7.7     7.3     7.3 1
-1977 11 10     5.3     4.9     4.9 1
-1977 11 11     9.3     8.9     8.9 1
-1977 11 12     8.5     8.1     8.1 1
-1977 11 13     4.8     4.3     4.3 1
-1977 11 14     3.6     3.1     3.1 1
-1977 11 15     4.5     4.0     4.0 1
-1977 11 16     2.6     2.1     2.1 1
-1977 11 17     0.3    -0.2    -0.2 1
-1977 11 18    -1.6    -2.1    -2.1 1
-1977 11 19    -2.5    -3.0    -3.0 1
-1977 11 20    -1.4    -1.9    -1.9 1
-1977 11 21     3.9     3.4     3.4 1
-1977 11 22     2.9     2.4     2.4 1
-1977 11 23    -0.4    -0.9    -0.9 1
-1977 11 24     4.5     4.0     4.0 1
-1977 11 25     2.7     2.2     2.2 1
-1977 11 26    -1.8    -2.3    -2.3 1
-1977 11 27    -3.6    -4.1    -4.1 1
-1977 11 28     0.4    -0.1    -0.1 1
-1977 11 29     1.1     0.6     0.6 1
-1977 11 30    -0.2    -0.7    -0.7 1
-1977 12  1    -0.2    -0.7    -0.7 1
-1977 12  2     1.3     0.8     0.8 1
-1977 12  3    -1.5    -2.0    -2.0 1
-1977 12  4    -3.8    -4.3    -4.3 1
-1977 12  5     0.2    -0.4    -0.4 1
-1977 12  6    -2.1    -2.7    -2.7 1
-1977 12  7    -0.7    -1.3    -1.3 1
-1977 12  8     1.7     1.1     1.1 1
-1977 12  9     1.2     0.6     0.6 1
-1977 12 10     0.0    -0.6    -0.6 1
-1977 12 11     1.0     0.4     0.4 1
-1977 12 12     2.1     1.5     1.5 1
-1977 12 13     2.7     2.1     2.1 1
-1977 12 14     2.5     1.9     1.9 1
-1977 12 15     2.9     2.3     2.3 1
-1977 12 16     3.8     3.2     3.2 1
-1977 12 17     5.7     5.1     5.1 1
-1977 12 18     0.3    -0.3    -0.3 1
-1977 12 19     0.9     0.3     0.3 1
-1977 12 20     0.7     0.1     0.1 1
-1977 12 21    -2.5    -3.1    -3.1 1
-1977 12 22     1.0     0.4     0.4 1
-1977 12 23     2.6     2.0     2.0 1
-1977 12 24     3.3     2.7     2.7 1
-1977 12 25     0.4    -0.3    -0.3 1
-1977 12 26     1.4     0.7     0.7 1
-1977 12 27    -0.3    -1.0    -1.0 1
-1977 12 28    -2.6    -3.3    -3.3 1
-1977 12 29    -3.9    -4.6    -4.6 1
-1977 12 30    -1.1    -1.8    -1.8 1
-1977 12 31    -2.5    -3.2    -3.2 1
-1978  1  1    -2.3    -3.0    -3.0 1
-1978  1  2     2.8     2.1     2.1 1
-1978  1  3    -2.2    -2.9    -2.9 1
-1978  1  4    -5.8    -6.5    -6.5 1
-1978  1  5    -6.6    -7.3    -7.3 1
-1978  1  6    -0.6    -1.3    -1.3 1
-1978  1  7     2.9     2.2     2.2 1
-1978  1  8     3.5     2.8     2.8 1
-1978  1  9     1.4     0.7     0.7 1
-1978  1 10     1.0     0.3     0.3 1
-1978  1 11     0.2    -0.6    -0.6 1
-1978  1 12    -2.9    -3.7    -3.7 1
-1978  1 13    -4.2    -5.0    -5.0 1
-1978  1 14     0.3    -0.5    -0.5 1
-1978  1 15    -0.8    -1.6    -1.6 1
-1978  1 16     0.8     0.0     0.0 1
-1978  1 17     0.8     0.0     0.0 1
-1978  1 18     1.6     0.8     0.8 1
-1978  1 19     0.7    -0.1    -0.1 1
-1978  1 20     0.4    -0.4    -0.4 1
-1978  1 21     0.0    -0.8    -0.8 1
-1978  1 22    -0.7    -1.5    -1.5 1
-1978  1 23    -2.4    -3.2    -3.2 1
-1978  1 24    -1.2    -2.0    -2.0 1
-1978  1 25    -1.2    -2.0    -2.0 1
-1978  1 26    -3.7    -4.5    -4.5 1
-1978  1 27    -7.0    -7.8    -7.8 1
-1978  1 28    -1.6    -2.4    -2.4 1
-1978  1 29     0.9     0.1     0.1 1
-1978  1 30     1.5     0.7     0.7 1
-1978  1 31     0.4    -0.4    -0.4 1
-1978  2  1    -1.8    -2.6    -2.6 1
-1978  2  2    -0.8    -1.6    -1.6 1
-1978  2  3    -2.0    -2.8    -2.8 1
-1978  2  4    -1.8    -2.6    -2.6 1
-1978  2  5    -1.9    -2.7    -2.7 1
-1978  2  6    -3.0    -3.8    -3.8 1
-1978  2  7    -4.5    -5.3    -5.3 1
-1978  2  8    -5.0    -5.8    -5.8 1
-1978  2  9    -6.2    -7.0    -7.0 1
-1978  2 10    -9.7   -10.5   -10.5 1
-1978  2 11    -7.4    -8.2    -8.2 1
-1978  2 12    -5.1    -5.9    -5.9 1
-1978  2 13    -5.0    -5.8    -5.8 1
-1978  2 14   -11.2   -12.0   -12.0 1
-1978  2 15   -14.8   -15.7   -15.7 1
-1978  2 16   -14.9   -15.8   -15.8 1
-1978  2 17   -10.3   -11.2   -11.2 1
-1978  2 18   -10.0   -10.9   -10.9 1
-1978  2 19    -9.2   -10.1   -10.1 1
-1978  2 20    -6.3    -7.2    -7.2 1
-1978  2 21    -6.5    -7.4    -7.4 1
-1978  2 22    -7.0    -7.9    -7.9 1
-1978  2 23    -9.8   -10.7   -10.7 1
-1978  2 24    -2.9    -3.8    -3.8 1
-1978  2 25     1.1     0.2     0.2 1
-1978  2 26     1.0     0.1     0.1 1
-1978  2 27     1.3     0.4     0.4 1
-1978  2 28     1.6     0.7     0.7 1
-1978  3  1     2.0     1.1     1.1 1
-1978  3  2     0.4    -0.5    -0.5 1
-1978  3  3     0.7    -0.2    -0.2 1
-1978  3  4     1.1     0.2     0.2 1
-1978  3  5     0.8    -0.1    -0.1 1
-1978  3  6     0.3    -0.6    -0.6 1
-1978  3  7     0.5    -0.4    -0.4 1
-1978  3  8     0.5    -0.4    -0.4 1
-1978  3  9     0.5    -0.4    -0.4 1
-1978  3 10     1.9     1.0     1.0 1
-1978  3 11     1.7     0.8     0.8 1
-1978  3 12     2.4     1.5     1.5 1
-1978  3 13     1.7     0.7     0.7 1
-1978  3 14     2.6     1.6     1.6 1
-1978  3 15    -5.5    -6.5    -6.5 1
-1978  3 16    -6.5    -7.5    -7.5 1
-1978  3 17    -8.1    -9.0    -9.0 1
-1978  3 18    -9.9   -10.8   -10.8 1
-1978  3 19    -6.3    -7.2    -7.2 1
-1978  3 20    -7.5    -8.4    -8.4 1
-1978  3 21    -8.6    -9.5    -9.5 1
-1978  3 22   -10.4   -11.3   -11.3 1
-1978  3 23    -4.4    -5.3    -5.3 1
-1978  3 24     0.3    -0.6    -0.6 1
-1978  3 25     2.0     1.1     1.1 1
-1978  3 26     1.4     0.5     0.5 1
-1978  3 27     2.9     2.0     2.0 1
-1978  3 28     4.2     3.3     3.3 1
-1978  3 29     6.6     5.7     5.7 1
-1978  3 30     6.7     5.8     5.8 1
-1978  3 31     5.3     4.4     4.4 1
-1978  4  1     5.9     5.0     5.0 1
-1978  4  2     1.9     1.0     1.0 1
-1978  4  3     1.9     1.0     1.0 1
-1978  4  4     2.0     1.1     1.1 1
-1978  4  5    -0.2    -1.1    -1.1 1
-1978  4  6     1.5     0.7     0.7 1
-1978  4  7     4.7     3.9     3.9 1
-1978  4  8     3.9     3.1     3.1 1
-1978  4  9     6.0     5.2     5.2 1
-1978  4 10     6.1     5.3     5.3 1
-1978  4 11     6.1     5.3     5.3 1
-1978  4 12     3.4     2.6     2.6 1
-1978  4 13     2.7     1.9     1.9 1
-1978  4 14     4.0     3.2     3.2 1
-1978  4 15     4.5     3.7     3.7 1
-1978  4 16     4.3     3.5     3.5 1
-1978  4 17     5.2     4.4     4.4 1
-1978  4 18     3.2     2.3     2.3 1
-1978  4 19     1.8     0.9     0.9 1
-1978  4 20     2.0     1.1     1.1 1
-1978  4 21     2.9     2.0     2.0 1
-1978  4 22     8.2     7.3     7.3 1
-1978  4 23    10.8     9.8     9.8 1
-1978  4 24     1.7     0.7     0.7 1
-1978  4 25     0.1    -0.9    -0.9 1
-1978  4 26     0.2    -0.8    -0.8 1
-1978  4 27     1.0     0.0     0.0 1
-1978  4 28     1.9     0.9     0.9 1
-1978  4 29     3.9     2.8     2.8 1
-1978  4 30     3.3     2.2     2.2 1
-1978  5  1     3.9     2.8     2.8 1
-1978  5  2     4.8     3.7     3.7 1
-1978  5  3     6.4     5.3     5.3 1
-1978  5  4     8.9     7.7     7.7 1
-1978  5  5     8.4     7.2     7.2 1
-1978  5  6     8.7     7.5     7.5 1
-1978  5  7     6.0     4.8     4.8 1
-1978  5  8     8.6     7.4     7.4 1
-1978  5  9     5.2     3.9     3.9 1
-1978  5 10     3.5     2.2     2.2 1
-1978  5 11     2.6     1.3     1.3 1
-1978  5 12     2.7     1.4     1.4 1
-1978  5 13     4.1     2.8     2.8 1
-1978  5 14     6.8     5.4     5.4 1
-1978  5 15     4.9     3.5     3.5 1
-1978  5 16     5.8     4.4     4.4 1
-1978  5 17     6.3     4.9     4.9 1
-1978  5 18     8.6     7.3     7.3 1
-1978  5 19    11.7    10.4    10.4 1
-1978  5 20    14.4    13.1    13.1 1
-1978  5 21    16.8    15.5    15.5 1
-1978  5 22    16.0    14.7    14.7 1
-1978  5 23    15.4    14.1    14.1 1
-1978  5 24    13.2    11.9    11.9 1
-1978  5 25    13.4    12.1    12.1 1
-1978  5 26    16.8    15.5    15.5 1
-1978  5 27    18.0    16.7    16.7 1
-1978  5 28    17.2    15.9    15.9 1
-1978  5 29    17.8    16.6    16.6 1
-1978  5 30    19.5    18.3    18.3 1
-1978  5 31    20.0    18.8    18.8 1
-1978  6  1    20.0    18.8    18.8 1
-1978  6  2    17.9    16.7    16.7 1
-1978  6  3    20.1    18.9    18.9 1
-1978  6  4    18.6    17.4    17.4 1
-1978  6  5    18.9    17.7    17.7 1
-1978  6  6    21.3    20.1    20.1 1
-1978  6  7    21.3    20.1    20.1 1
-1978  6  8    17.5    16.3    16.3 1
-1978  6  9    13.8    12.7    12.7 1
-1978  6 10    12.2    11.1    11.1 1
-1978  6 11    12.4    11.3    11.3 1
-1978  6 12     9.9     8.8     8.8 1
-1978  6 13    12.1    11.0    11.0 1
-1978  6 14    12.1    11.0    11.0 1
-1978  6 15    12.4    11.3    11.3 1
-1978  6 16    12.5    11.4    11.4 1
-1978  6 17     8.3     7.2     7.2 1
-1978  6 18    14.2    13.1    13.1 1
-1978  6 19    17.3    16.2    16.2 1
-1978  6 20    18.0    16.9    16.9 1
-1978  6 21    18.5    17.4    17.4 1
-1978  6 22    17.7    16.6    16.6 1
-1978  6 23    18.3    17.2    17.2 1
-1978  6 24    17.4    16.3    16.3 1
-1978  6 25    16.9    15.8    15.8 1
-1978  6 26    15.2    14.1    14.1 1
-1978  6 27    14.6    13.5    13.5 1
-1978  6 28    12.5    11.4    11.4 1
-1978  6 29    13.7    12.6    12.6 1
-1978  6 30    16.8    15.8    15.8 1
-1978  7  1    15.6    14.6    14.6 1
-1978  7  2    15.7    14.7    14.7 1
-1978  7  3    16.5    15.5    15.5 1
-1978  7  4    15.7    14.7    14.7 1
-1978  7  5    14.9    13.9    13.9 1
-1978  7  6    13.0    12.0    12.0 1
-1978  7  7    15.1    14.1    14.1 1
-1978  7  8    15.1    14.1    14.1 1
-1978  7  9    13.8    12.8    12.8 1
-1978  7 10    14.7    13.7    13.7 1
-1978  7 11    11.6    10.6    10.6 1
-1978  7 12    15.0    14.0    14.0 1
-1978  7 13    17.5    16.5    16.5 1
-1978  7 14    14.4    13.4    13.4 1
-1978  7 15    11.8    10.8    10.8 1
-1978  7 16    12.0    11.0    11.0 1
-1978  7 17    11.8    10.8    10.8 1
-1978  7 18    14.4    13.4    13.4 1
-1978  7 19    14.1    13.1    13.1 1
-1978  7 20    14.0    13.0    13.0 1
-1978  7 21    15.1    14.1    14.1 1
-1978  7 22    15.8    14.8    14.8 1
-1978  7 23    15.6    14.6    14.6 1
-1978  7 24    16.8    15.9    15.9 1
-1978  7 25    18.2    17.3    17.3 1
-1978  7 26    17.4    16.5    16.5 1
-1978  7 27    17.3    16.4    16.4 1
-1978  7 28    20.7    19.8    19.8 1
-1978  7 29    22.0    21.1    21.1 1
-1978  7 30    22.6    21.7    21.7 1
-1978  7 31    22.2    21.3    21.3 1
-1978  8  1    23.5    22.6    22.6 1
-1978  8  2    23.5    22.6    22.6 1
-1978  8  3    22.7    21.8    21.8 1
-1978  8  4    20.5    19.6    19.6 1
-1978  8  5    17.3    16.4    16.4 1
-1978  8  6    15.8    15.0    15.0 1
-1978  8  7    15.4    14.6    14.6 1
-1978  8  8    15.2    14.4    14.4 1
-1978  8  9    15.3    14.5    14.5 1
-1978  8 10    14.9    14.1    14.1 1
-1978  8 11    15.9    15.1    15.1 1
-1978  8 12    13.5    12.7    12.7 1
-1978  8 13    13.6    12.8    12.8 1
-1978  8 14    11.0    10.2    10.2 1
-1978  8 15    13.4    12.6    12.6 1
-1978  8 16    17.0    16.2    16.2 1
-1978  8 17    17.7    17.0    17.0 1
-1978  8 18    17.2    16.5    16.5 1
-1978  8 19    16.8    16.1    16.1 1
-1978  8 20    17.8    17.1    17.1 1
-1978  8 21    19.6    18.9    18.9 1
-1978  8 22    18.7    18.0    18.0 1
-1978  8 23    16.8    16.1    16.1 1
-1978  8 24    14.8    14.2    14.2 1
-1978  8 25    11.3    10.7    10.7 1
-1978  8 26    11.8    11.2    11.2 1
-1978  8 27    10.6    10.0    10.0 1
-1978  8 28    11.3    10.7    10.7 1
-1978  8 29    11.2    10.6    10.6 1
-1978  8 30    10.7    10.2    10.2 1
-1978  8 31    10.6    10.1    10.1 1
-1978  9  1    12.1    11.6    11.6 1
-1978  9  2    11.6    11.1    11.1 1
-1978  9  3    11.2    10.7    10.7 1
-1978  9  4    12.3    11.8    11.8 1
-1978  9  5    12.3    11.8    11.8 1
-1978  9  6    12.9    12.5    12.5 1
-1978  9  7    11.9    11.5    11.5 1
-1978  9  8    11.7    11.3    11.3 1
-1978  9  9    12.8    12.4    12.4 1
-1978  9 10    12.4    12.0    12.0 1
-1978  9 11    11.9    11.5    11.5 1
-1978  9 12    11.7    11.4    11.4 1
-1978  9 13     8.7     8.4     8.4 1
-1978  9 14    11.6    11.3    11.3 1
-1978  9 15    11.6    11.3    11.3 1
-1978  9 16    11.9    11.6    11.6 1
-1978  9 17    13.5    13.2    13.2 1
-1978  9 18    11.5    11.2    11.2 1
-1978  9 19     8.4     8.1     8.1 1
-1978  9 20     6.6     6.3     6.3 1
-1978  9 21     8.3     8.0     8.0 1
-1978  9 22     7.8     7.5     7.5 1
-1978  9 23     5.6     5.3     5.3 1
-1978  9 24     5.7     5.4     5.4 1
-1978  9 25     8.7     8.4     8.4 1
-1978  9 26     8.6     8.3     8.3 1
-1978  9 27     7.4     7.1     7.1 1
-1978  9 28     7.8     7.5     7.5 1
-1978  9 29     8.4     8.1     8.1 1
-1978  9 30     5.5     5.2     5.2 1
-1978 10  1     4.3     4.0     4.0 1
-1978 10  2     6.3     6.0     6.0 1
-1978 10  3     8.1     7.8     7.8 1
-1978 10  4     8.6     8.3     8.3 1
-1978 10  5     8.0     7.7     7.7 1
-1978 10  6     5.8     5.5     5.5 1
-1978 10  7     9.7     9.4     9.4 1
-1978 10  8    10.8    10.5    10.5 1
-1978 10  9    10.8    10.5    10.5 1
-1978 10 10     9.5     9.3     9.3 1
-1978 10 11    10.3    10.1    10.1 1
-1978 10 12     9.3     9.1     9.1 1
-1978 10 13    12.5    12.3    12.3 1
-1978 10 14    10.5    10.3    10.3 1
-1978 10 15     6.5     6.3     6.3 1
-1978 10 16     7.5     7.3     7.3 1
-1978 10 17     9.0     8.7     8.7 1
-1978 10 18     6.9     6.6     6.6 1
-1978 10 19     7.3     7.0     7.0 1
-1978 10 20     8.2     7.9     7.9 1
-1978 10 21     2.0     1.7     1.7 1
-1978 10 22     2.3     2.0     2.0 1
-1978 10 23     1.6     1.3     1.3 1
-1978 10 24     8.0     7.7     7.7 1
-1978 10 25     4.8     4.5     4.5 1
-1978 10 26     3.8     3.5     3.5 1
-1978 10 27     4.3     4.0     4.0 1
-1978 10 28     8.5     8.2     8.2 1
-1978 10 29     4.5     4.2     4.2 1
-1978 10 30     2.0     1.6     1.6 1
-1978 10 31     6.7     6.3     6.3 1
-1978 11  1    10.0     9.6     9.6 1
-1978 11  2     9.4     9.0     9.0 1
-1978 11  3     7.1     6.7     6.7 1
-1978 11  4     8.4     8.0     8.0 1
-1978 11  5     6.5     6.1     6.1 1
-1978 11  6     9.9     9.5     9.5 1
-1978 11  7     6.3     5.9     5.9 1
-1978 11  8     7.7     7.3     7.3 1
-1978 11  9     9.2     8.8     8.8 1
-1978 11 10     9.1     8.7     8.7 1
-1978 11 11     6.4     6.0     6.0 1
-1978 11 12     5.7     5.3     5.3 1
-1978 11 13     6.5     6.0     6.0 1
-1978 11 14     7.3     6.8     6.8 1
-1978 11 15     7.7     7.2     7.2 1
-1978 11 16     7.7     7.2     7.2 1
-1978 11 17     3.7     3.2     3.2 1
-1978 11 18     8.0     7.5     7.5 1
-1978 11 19     9.8     9.3     9.3 1
-1978 11 20     3.9     3.4     3.4 1
-1978 11 21     4.3     3.8     3.8 1
-1978 11 22     7.7     7.2     7.2 1
-1978 11 23     4.1     3.6     3.6 1
-1978 11 24     3.1     2.6     2.6 1
-1978 11 25    -0.7    -1.2    -1.2 1
-1978 11 26    -2.8    -3.3    -3.3 1
-1978 11 27    -0.3    -0.8    -0.8 1
-1978 11 28    -0.9    -1.4    -1.4 1
-1978 11 29    -1.5    -2.0    -2.0 1
-1978 11 30    -3.1    -3.6    -3.6 1
-1978 12  1    -0.6    -1.1    -1.1 1
-1978 12  2     0.0    -0.5    -0.5 1
-1978 12  3    -4.5    -5.0    -5.0 1
-1978 12  4    -6.2    -6.7    -6.7 1
-1978 12  5    -3.1    -3.7    -3.7 1
-1978 12  6    -7.6    -8.2    -8.2 1
-1978 12  7    -4.4    -5.0    -5.0 1
-1978 12  8    -1.4    -2.0    -2.0 1
-1978 12  9     0.1    -0.5    -0.5 1
-1978 12 10    -4.3    -4.9    -4.9 1
-1978 12 11    -2.2    -2.8    -2.8 1
-1978 12 12     0.7     0.1     0.1 1
-1978 12 13    -0.5    -1.1    -1.1 1
-1978 12 14    -4.3    -4.9    -4.9 1
-1978 12 15    -7.2    -7.8    -7.8 1
-1978 12 16    -8.5    -9.1    -9.1 1
-1978 12 17   -10.2   -10.8   -10.8 1
-1978 12 18    -3.9    -4.5    -4.5 1
-1978 12 19     0.0    -0.6    -0.6 1
-1978 12 20    -2.1    -2.7    -2.7 1
-1978 12 21    -5.9    -6.5    -6.5 1
-1978 12 22    -3.7    -4.3    -4.3 1
-1978 12 23    -2.9    -3.5    -3.5 1
-1978 12 24    -5.1    -5.7    -5.7 1
-1978 12 25    -4.6    -5.3    -5.3 1
-1978 12 26    -6.6    -7.3    -7.3 1
-1978 12 27   -10.6   -11.3   -11.3 1
-1978 12 28   -10.2   -10.9   -10.9 1
-1978 12 29   -13.9   -14.6   -14.6 1
-1978 12 30   -17.7   -18.4   -18.4 1
-1978 12 31   -14.9   -15.6   -15.6 1
-1979  1  1   -17.6   -18.3   -18.3 1
-1979  1  2   -11.9   -12.6   -12.6 1
-1979  1  3    -9.4   -10.1   -10.1 1
-1979  1  4    -9.2    -9.9    -9.9 1
-1979  1  5   -10.6   -11.3   -11.3 1
-1979  1  6   -11.6   -12.3   -12.3 1
-1979  1  7    -2.0    -2.7    -2.7 1
-1979  1  8     0.3    -0.4    -0.4 1
-1979  1  9     0.2    -0.5    -0.5 1
-1979  1 10    -2.7    -3.4    -3.4 1
-1979  1 11    -4.6    -5.4    -5.4 1
-1979  1 12    -1.8    -2.6    -2.6 1
-1979  1 13     0.4    -0.4    -0.4 1
-1979  1 14    -1.3    -2.1    -2.1 1
-1979  1 15    -2.7    -3.5    -3.5 1
-1979  1 16    -4.7    -5.5    -5.5 1
-1979  1 17    -3.2    -4.0    -4.0 1
-1979  1 18    -3.7    -4.5    -4.5 1
-1979  1 19    -4.8    -5.6    -5.6 1
-1979  1 20    -6.3    -7.1    -7.1 1
-1979  1 21    -3.5    -4.3    -4.3 1
-1979  1 22    -4.6    -5.4    -5.4 1
-1979  1 23    -6.0    -6.8    -6.8 1
-1979  1 24    -6.3    -7.1    -7.1 1
-1979  1 25   -12.9   -13.7   -13.7 1
-1979  1 26   -10.6   -11.4   -11.4 1
-1979  1 27   -15.3   -16.1   -16.1 1
-1979  1 28   -12.7   -13.5   -13.5 1
-1979  1 29    -5.1    -5.9    -5.9 1
-1979  1 30    -6.0    -6.8    -6.8 1
-1979  1 31    -6.2    -7.0    -7.0 1
-1979  2  1    -6.5    -7.3    -7.3 1
-1979  2  2    -2.9    -3.7    -3.7 1
-1979  2  3    -3.1    -3.9    -3.9 1
-1979  2  4    -9.2   -10.0   -10.0 1
-1979  2  5    -7.5    -8.3    -8.3 1
-1979  2  6   -11.5   -12.3   -12.3 1
-1979  2  7    -5.9    -6.7    -6.7 1
-1979  2  8    -2.9    -3.7    -3.7 1
-1979  2  9    -6.6    -7.4    -7.4 1
-1979  2 10    -4.6    -5.4    -5.4 1
-1979  2 11    -4.6    -5.4    -5.4 1
-1979  2 12    -4.7    -5.5    -5.5 1
-1979  2 13   -13.4   -14.2   -14.2 1
-1979  2 14   -18.4   -19.2   -19.2 1
-1979  2 15   -16.2   -17.1   -17.1 1
-1979  2 16   -12.7   -13.6   -13.6 1
-1979  2 17    -9.1   -10.0   -10.0 1
-1979  2 18    -5.3    -6.2    -6.2 1
-1979  2 19    -1.2    -2.1    -2.1 1
-1979  2 20    -0.1    -1.0    -1.0 1
-1979  2 21    -2.2    -3.1    -3.1 1
-1979  2 22    -2.6    -3.5    -3.5 1
-1979  2 23    -2.7    -3.6    -3.6 1
-1979  2 24    -1.1    -2.0    -2.0 1
-1979  2 25    -0.5    -1.4    -1.4 1
-1979  2 26     1.1     0.2     0.2 1
-1979  2 27     2.5     1.6     1.6 1
-1979  2 28     1.4     0.5     0.5 1
-1979  3  1     0.2    -0.7    -0.7 1
-1979  3  2     0.3    -0.6    -0.6 1
-1979  3  3     4.3     3.4     3.4 1
-1979  3  4     3.1     2.2     2.2 1
-1979  3  5     3.5     2.6     2.6 1
-1979  3  6     4.5     3.6     3.6 1
-1979  3  7     0.2    -0.7    -0.7 1
-1979  3  8     1.9     1.0     1.0 1
-1979  3  9     0.5    -0.4    -0.4 1
-1979  3 10     0.3    -0.6    -0.6 1
-1979  3 11     0.5    -0.4    -0.4 1
-1979  3 12    -0.5    -1.4    -1.4 1
-1979  3 13    -1.1    -2.1    -2.1 1
-1979  3 14    -1.4    -2.4    -2.4 1
-1979  3 15    -2.5    -3.5    -3.5 1
-1979  3 16    -5.3    -6.3    -6.3 1
-1979  3 17    -9.5   -10.4   -10.4 1
-1979  3 18   -10.1   -11.0   -11.0 1
-1979  3 19    -6.2    -7.1    -7.1 1
-1979  3 20    -1.2    -2.1    -2.1 1
-1979  3 21    -2.2    -3.1    -3.1 1
-1979  3 22    -0.2    -1.1    -1.1 1
-1979  3 23     1.1     0.2     0.2 1
-1979  3 24     0.6    -0.3    -0.3 1
-1979  3 25     2.4     1.5     1.5 1
-1979  3 26     1.4     0.5     0.5 1
-1979  3 27     2.4     1.5     1.5 1
-1979  3 28     0.7    -0.2    -0.2 1
-1979  3 29     1.2     0.3     0.3 1
-1979  3 30     2.1     1.2     1.2 1
-1979  3 31     2.0     1.1     1.1 1
-1979  4  1     1.2     0.3     0.3 1
-1979  4  2     0.9     0.0     0.0 1
-1979  4  3     1.1     0.2     0.2 1
-1979  4  4     2.5     1.6     1.6 1
-1979  4  5     0.7    -0.2    -0.2 1
-1979  4  6     2.6     1.8     1.8 1
-1979  4  7     1.9     1.1     1.1 1
-1979  4  8     2.2     1.4     1.4 1
-1979  4  9     4.1     3.3     3.3 1
-1979  4 10     1.4     0.6     0.6 1
-1979  4 11     5.4     4.6     4.6 1
-1979  4 12     9.1     8.3     8.3 1
-1979  4 13     7.1     6.3     6.3 1
-1979  4 14     1.2     0.4     0.4 1
-1979  4 15     0.2    -0.6    -0.6 1
-1979  4 16     1.4     0.6     0.6 1
-1979  4 17     1.3     0.5     0.5 1
-1979  4 18     2.2     1.3     1.3 1
-1979  4 19     6.5     5.6     5.6 1
-1979  4 20     2.8     1.9     1.9 1
-1979  4 21     3.9     3.0     3.0 1
-1979  4 22     3.4     2.5     2.5 1
-1979  4 23     3.1     2.1     2.1 1
-1979  4 24     3.0     2.0     2.0 1
-1979  4 25     6.5     5.5     5.5 1
-1979  4 26     8.5     7.5     7.5 1
-1979  4 27     7.1     6.1     6.1 1
-1979  4 28     7.8     6.8     6.8 1
-1979  4 29     5.4     4.3     4.3 1
-1979  4 30     5.3     4.2     4.2 1
-1979  5  1     4.4     3.3     3.3 1
-1979  5  2     4.2     3.1     3.1 1
-1979  5  3     4.1     3.0     3.0 1
-1979  5  4     5.4     4.2     4.2 1
-1979  5  5     4.1     2.9     2.9 1
-1979  5  6     4.7     3.5     3.5 1
-1979  5  7     7.1     5.9     5.9 1
-1979  5  8     5.4     4.2     4.2 1
-1979  5  9     7.3     6.0     6.0 1
-1979  5 10     6.6     5.3     5.3 1
-1979  5 11     6.5     5.2     5.2 1
-1979  5 12    10.7     9.4     9.4 1
-1979  5 13    10.0     8.7     8.7 1
-1979  5 14    15.2    13.8    13.8 1
-1979  5 15    15.1    13.7    13.7 1
-1979  5 16    18.1    16.7    16.7 1
-1979  5 17    16.2    14.8    14.8 1
-1979  5 18    14.2    12.9    12.9 1
-1979  5 19    13.8    12.5    12.5 1
-1979  5 20    11.3    10.0    10.0 1
-1979  5 21    10.1     8.8     8.8 1
-1979  5 22    12.2    10.9    10.9 1
-1979  5 23    15.0    13.7    13.7 1
-1979  5 24    14.3    13.0    13.0 1
-1979  5 25    15.1    13.8    13.8 1
-1979  5 26    11.6    10.3    10.3 1
-1979  5 27    13.6    12.3    12.3 1
-1979  5 28    15.2    13.9    13.9 1
-1979  5 29    15.6    14.4    14.4 1
-1979  5 30    17.3    16.1    16.1 1
-1979  5 31    19.2    18.0    18.0 1
-1979  6  1    19.0    17.8    17.8 1
-1979  6  2    18.9    17.7    17.7 1
-1979  6  3    15.1    13.9    13.9 1
-1979  6  4    16.3    15.1    15.1 1
-1979  6  5    18.8    17.6    17.6 1
-1979  6  6    20.0    18.8    18.8 1
-1979  6  7    23.2    22.0    22.0 1
-1979  6  8    22.8    21.6    21.6 1
-1979  6  9    10.8     9.7     9.7 1
-1979  6 10    12.9    11.8    11.8 1
-1979  6 11    17.1    16.0    16.0 1
-1979  6 12    19.3    18.2    18.2 1
-1979  6 13    16.7    15.6    15.6 1
-1979  6 14    14.3    13.2    13.2 1
-1979  6 15    15.4    14.3    14.3 1
-1979  6 16    17.4    16.3    16.3 1
-1979  6 17    17.6    16.5    16.5 1
-1979  6 18    15.1    14.0    14.0 1
-1979  6 19    16.4    15.3    15.3 1
-1979  6 20    19.0    17.9    17.9 1
-1979  6 21    19.3    18.2    18.2 1
-1979  6 22    19.9    18.8    18.8 1
-1979  6 23    20.9    19.8    19.8 1
-1979  6 24    21.1    20.0    20.0 1
-1979  6 25    20.3    19.2    19.2 1
-1979  6 26    17.0    15.9    15.9 1
-1979  6 27    14.9    13.8    13.8 1
-1979  6 28    16.6    15.5    15.5 1
-1979  6 29    15.4    14.3    14.3 1
-1979  6 30    13.9    12.9    12.9 1
-1979  7  1    14.0    13.0    13.0 1
-1979  7  2    13.4    12.4    12.4 1
-1979  7  3    11.7    10.7    10.7 1
-1979  7  4    13.1    12.1    12.1 1
-1979  7  5    15.7    14.7    14.7 1
-1979  7  6    13.2    12.2    12.2 1
-1979  7  7    13.8    12.8    12.8 1
-1979  7  8    14.2    13.2    13.2 1
-1979  7  9    15.6    14.6    14.6 1
-1979  7 10    15.0    14.0    14.0 1
-1979  7 11    14.4    13.4    13.4 1
-1979  7 12    16.1    15.1    15.1 1
-1979  7 13    15.6    14.6    14.6 1
-1979  7 14    16.7    15.7    15.7 1
-1979  7 15    15.6    14.6    14.6 1
-1979  7 16    15.6    14.6    14.6 1
-1979  7 17    14.8    13.8    13.8 1
-1979  7 18    17.7    16.7    16.7 1
-1979  7 19    14.1    13.1    13.1 1
-1979  7 20    14.8    13.8    13.8 1
-1979  7 21    13.2    12.2    12.2 1
-1979  7 22    14.6    13.6    13.6 1
-1979  7 23    16.2    15.2    15.2 1
-1979  7 24    15.5    14.6    14.6 1
-1979  7 25    15.2    14.3    14.3 1
-1979  7 26    15.0    14.1    14.1 1
-1979  7 27    16.0    15.1    15.1 1
-1979  7 28    16.9    16.0    16.0 1
-1979  7 29    17.2    16.3    16.3 1
-1979  7 30    16.2    15.3    15.3 1
-1979  7 31    16.9    16.0    16.0 1
-1979  8  1    17.6    16.7    16.7 1
-1979  8  2    15.3    14.4    14.4 1
-1979  8  3    15.2    14.3    14.3 1
-1979  8  4    13.9    13.0    13.0 1
-1979  8  5    14.8    13.9    13.9 1
-1979  8  6    15.6    14.8    14.8 1
-1979  8  7    16.8    16.0    16.0 1
-1979  8  8    17.0    16.2    16.2 1
-1979  8  9    16.4    15.6    15.6 1
-1979  8 10    16.3    15.5    15.5 1
-1979  8 11    15.8    15.0    15.0 1
-1979  8 12    16.5    15.7    15.7 1
-1979  8 13    16.3    15.5    15.5 1
-1979  8 14    16.4    15.6    15.6 1
-1979  8 15    17.8    17.0    17.0 1
-1979  8 16    18.4    17.6    17.6 1
-1979  8 17    20.2    19.5    19.5 1
-1979  8 18    20.1    19.4    19.4 1
-1979  8 19    18.7    18.0    18.0 1
-1979  8 20    17.9    17.2    17.2 1
-1979  8 21    18.6    17.9    17.9 1
-1979  8 22    16.5    15.8    15.8 1
-1979  8 23    14.5    13.8    13.8 1
-1979  8 24    15.3    14.7    14.7 1
-1979  8 25    14.2    13.6    13.6 1
-1979  8 26    14.1    13.5    13.5 1
-1979  8 27    13.5    12.9    12.9 1
-1979  8 28    13.1    12.5    12.5 1
-1979  8 29    14.9    14.3    14.3 1
-1979  8 30    15.9    15.4    15.4 1
-1979  8 31    14.0    13.5    13.5 1
-1979  9  1    14.9    14.4    14.4 1
-1979  9  2    13.6    13.1    13.1 1
-1979  9  3    16.3    15.8    15.8 1
-1979  9  4    15.5    15.0    15.0 1
-1979  9  5    12.9    12.4    12.4 1
-1979  9  6    15.2    14.8    14.8 1
-1979  9  7    15.2    14.8    14.8 1
-1979  9  8    14.8    14.4    14.4 1
-1979  9  9    14.2    13.8    13.8 1
-1979  9 10    13.9    13.5    13.5 1
-1979  9 11    13.5    13.1    13.1 1
-1979  9 12    11.9    11.6    11.6 1
-1979  9 13    12.6    12.3    12.3 1
-1979  9 14    10.1     9.8     9.8 1
-1979  9 15     8.1     7.8     7.8 1
-1979  9 16     7.5     7.2     7.2 1
-1979  9 17    11.0    10.7    10.7 1
-1979  9 18    13.4    13.1    13.1 1
-1979  9 19    13.5    13.2    13.2 1
-1979  9 20    10.9    10.6    10.6 1
-1979  9 21    11.5    11.2    11.2 1
-1979  9 22     9.1     8.8     8.8 1
-1979  9 23     8.5     8.2     8.2 1
-1979  9 24     9.8     9.5     9.5 1
-1979  9 25    11.0    10.7    10.7 1
-1979  9 26    11.0    10.7    10.7 1
-1979  9 27    11.0    10.7    10.7 1
-1979  9 28     9.0     8.7     8.7 1
-1979  9 29     8.6     8.3     8.3 1
-1979  9 30     6.7     6.4     6.4 1
-1979 10  1     4.9     4.6     4.6 1
-1979 10  2     4.7     4.4     4.4 1
-1979 10  3     5.5     5.2     5.2 1
-1979 10  4     5.4     5.1     5.1 1
-1979 10  5     3.7     3.4     3.4 1
-1979 10  6     4.9     4.6     4.6 1
-1979 10  7     5.9     5.6     5.6 1
-1979 10  8     6.8     6.5     6.5 1
-1979 10  9     9.1     8.8     8.8 1
-1979 10 10    11.0    10.8    10.8 1
-1979 10 11    13.2    13.0    13.0 1
-1979 10 12    10.6    10.4    10.4 1
-1979 10 13     8.3     8.1     8.1 1
-1979 10 14     8.9     8.7     8.7 1
-1979 10 15    10.3    10.1    10.1 1
-1979 10 16     9.8     9.6     9.6 1
-1979 10 17     5.6     5.3     5.3 1
-1979 10 18     7.2     6.9     6.9 1
-1979 10 19     6.8     6.5     6.5 1
-1979 10 20     9.3     9.0     9.0 1
-1979 10 21     6.7     6.4     6.4 1
-1979 10 22     3.3     3.0     3.0 1
-1979 10 23     3.5     3.2     3.2 1
-1979 10 24     3.8     3.5     3.5 1
-1979 10 25     3.8     3.5     3.5 1
-1979 10 26     0.2    -0.1    -0.1 1
-1979 10 27     1.9     1.6     1.6 1
-1979 10 28     2.0     1.7     1.7 1
-1979 10 29     2.2     1.9     1.9 1
-1979 10 30     0.6     0.2     0.2 1
-1979 10 31     0.4     0.0     0.0 1
-1979 11  1     0.7     0.3     0.3 1
-1979 11  2     0.7     0.3     0.3 1
-1979 11  3     0.4     0.0     0.0 1
-1979 11  4     4.2     3.8     3.8 1
-1979 11  5     5.9     5.5     5.5 1
-1979 11  6     5.4     5.0     5.0 1
-1979 11  7     3.9     3.5     3.5 1
-1979 11  8     2.5     2.1     2.1 1
-1979 11  9     1.9     1.5     1.5 1
-1979 11 10     1.0     0.6     0.6 1
-1979 11 11     1.5     1.1     1.1 1
-1979 11 12     4.2     3.8     3.8 1
-1979 11 13     3.2     2.7     2.7 1
-1979 11 14     1.8     1.3     1.3 1
-1979 11 15     1.0     0.5     0.5 1
-1979 11 16     4.4     3.9     3.9 1
-1979 11 17     5.1     4.6     4.6 1
-1979 11 18     3.4     2.9     2.9 1
-1979 11 19     5.9     5.4     5.4 1
-1979 11 20     3.7     3.2     3.2 1
-1979 11 21     2.3     1.8     1.8 1
-1979 11 22     3.8     3.3     3.3 1
-1979 11 23     8.2     7.7     7.7 1
-1979 11 24     4.9     4.4     4.4 1
-1979 11 25     3.4     2.9     2.9 1
-1979 11 26     5.7     5.2     5.2 1
-1979 11 27     0.9     0.4     0.4 1
-1979 11 28    -0.4    -0.9    -0.9 1
-1979 11 29     4.7     4.2     4.2 1
-1979 11 30     4.1     3.6     3.6 1
-1979 12  1     3.3     2.8     2.8 1
-1979 12  2     7.3     6.8     6.8 1
-1979 12  3     7.2     6.7     6.7 1
-1979 12  4     5.0     4.5     4.5 1
-1979 12  5     6.6     6.0     6.0 1
-1979 12  6     4.2     3.6     3.6 1
-1979 12  7     1.1     0.5     0.5 1
-1979 12  8    -1.9    -2.5    -2.5 1
-1979 12  9    -4.4    -5.0    -5.0 1
-1979 12 10    -3.6    -4.2    -4.2 1
-1979 12 11    -5.3    -5.9    -5.9 1
-1979 12 12    -7.3    -7.9    -7.9 1
-1979 12 13    -8.4    -9.0    -9.0 1
-1979 12 14    -6.8    -7.4    -7.4 1
-1979 12 15    -7.7    -8.3    -8.3 1
-1979 12 16    -6.5    -7.1    -7.1 1
-1979 12 17    -3.3    -3.9    -3.9 1
-1979 12 18    -5.6    -6.2    -6.2 1
-1979 12 19   -10.1   -10.7   -10.7 1
-1979 12 20    -4.4    -5.0    -5.0 1
-1979 12 21    -5.0    -5.6    -5.6 1
-1979 12 22    -4.6    -5.2    -5.2 1
-1979 12 23     2.6     2.0     2.0 1
-1979 12 24     3.7     3.1     3.1 1
-1979 12 25     2.3     1.6     1.6 1
-1979 12 26     1.4     0.7     0.7 1
-1979 12 27     1.0     0.3     0.3 1
-1979 12 28     2.2     1.5     1.5 1
-1979 12 29     1.9     1.2     1.2 1
-1979 12 30     1.2     0.5     0.5 1
-1979 12 31     0.6    -0.1    -0.1 1
-1980  1  1    -0.9    -1.6    -1.6 1
-1980  1  2    -4.1    -4.8    -4.8 1
-1980  1  3    -5.8    -6.5    -6.5 1
-1980  1  4    -6.2    -6.9    -6.9 1
-1980  1  5    -1.3    -2.0    -2.0 1
-1980  1  6    -2.2    -2.9    -2.9 1
-1980  1  7    -1.0    -1.7    -1.7 1
-1980  1  8    -1.0    -1.7    -1.7 1
-1980  1  9    -3.0    -3.7    -3.7 1
-1980  1 10    -1.0    -1.7    -1.7 1
-1980  1 11    -2.4    -3.2    -3.2 1
-1980  1 12    -4.4    -5.2    -5.2 1
-1980  1 13    -1.4    -2.2    -2.2 1
-1980  1 14     1.7     0.9     0.9 1
-1980  1 15    -1.2    -2.0    -2.0 1
-1980  1 16    -2.8    -3.6    -3.6 1
-1980  1 17    -0.4    -1.2    -1.2 1
-1980  1 18    -1.8    -2.6    -2.6 1
-1980  1 19    -2.0    -2.8    -2.8 1
-1980  1 20     0.2    -0.6    -0.6 1
-1980  1 21    -0.8    -1.6    -1.6 1
-1980  1 22    -0.4    -1.2    -1.2 1
-1980  1 23    -0.7    -1.5    -1.5 1
-1980  1 24    -5.2    -6.0    -6.0 1
-1980  1 25   -11.7   -12.5   -12.5 1
-1980  1 26   -16.0   -16.8   -16.8 1
-1980  1 27    -9.2   -10.0   -10.0 1
-1980  1 28   -12.0   -12.8   -12.8 1
-1980  1 29    -7.0    -7.8    -7.8 1
-1980  1 30   -10.2   -11.0   -11.0 1
-1980  1 31    -8.4    -9.2    -9.2 1
-1980  2  1   -10.0   -10.8   -10.8 1
-1980  2  2    -8.6    -9.4    -9.4 1
-1980  2  3    -7.7    -8.5    -8.5 1
-1980  2  4    -9.6   -10.4   -10.4 1
-1980  2  5    -8.2    -9.0    -9.0 1
-1980  2  6    -7.2    -8.0    -8.0 1
-1980  2  7   -10.3   -11.1   -11.1 1
-1980  2  8   -12.5   -13.3   -13.3 1
-1980  2  9   -14.7   -15.5   -15.5 1
-1980  2 10   -11.8   -12.6   -12.6 1
-1980  2 11    -5.4    -6.2    -6.2 1
-1980  2 12    -5.4    -6.2    -6.2 1
-1980  2 13    -5.6    -6.4    -6.4 1
-1980  2 14    -1.0    -1.8    -1.8 1
-1980  2 15     2.2     1.3     1.3 1
-1980  2 16     1.0     0.1     0.1 1
-1980  2 17    -0.7    -1.6    -1.6 1
-1980  2 18    -1.4    -2.3    -2.3 1
-1980  2 19    -2.3    -3.2    -3.2 1
-1980  2 20    -2.2    -3.1    -3.1 1
-1980  2 21    -2.9    -3.8    -3.8 1
-1980  2 22    -5.1    -6.0    -6.0 1
-1980  2 23    -3.7    -4.6    -4.6 1
-1980  2 24    -4.0    -4.9    -4.9 1
-1980  2 25    -4.0    -4.9    -4.9 1
-1980  2 26    -5.8    -6.7    -6.7 1
-1980  2 27    -4.7    -5.6    -5.6 1
-1980  2 28    -4.1    -5.0    -5.0 1
-1980  2 29     0.4    -0.5    -0.5 1
-1980  3  1     1.2     0.3     0.3 1
-1980  3  2    -2.8    -3.7    -3.7 1
-1980  3  3    -6.0    -6.9    -6.9 1
-1980  3  4    -7.1    -8.0    -8.0 1
-1980  3  5    -2.1    -3.0    -3.0 1
-1980  3  6     2.6     1.7     1.7 1
-1980  3  7     0.0    -0.9    -0.9 1
-1980  3  8    -0.5    -1.4    -1.4 1
-1980  3  9    -0.7    -1.6    -1.6 1
-1980  3 10    -1.8    -2.7    -2.7 1
-1980  3 11    -3.4    -4.3    -4.3 1
-1980  3 12    -0.6    -1.5    -1.5 1
-1980  3 13    -1.1    -2.1    -2.1 1
-1980  3 14    -1.1    -2.1    -2.1 1
-1980  3 15    -1.0    -2.0    -2.0 1
-1980  3 16    -0.7    -1.7    -1.7 1
-1980  3 17    -4.9    -5.8    -5.8 1
-1980  3 18    -6.6    -7.5    -7.5 1
-1980  3 19    -7.3    -8.2    -8.2 1
-1980  3 20    -5.1    -6.0    -6.0 1
-1980  3 21    -4.0    -4.9    -4.9 1
-1980  3 22    -4.3    -5.2    -5.2 1
-1980  3 23    -4.2    -5.1    -5.1 1
-1980  3 24    -2.1    -3.0    -3.0 1
-1980  3 25    -2.4    -3.3    -3.3 1
-1980  3 26    -3.0    -3.9    -3.9 1
-1980  3 27    -2.1    -3.0    -3.0 1
-1980  3 28    -1.0    -1.9    -1.9 1
-1980  3 29     1.2     0.3     0.3 1
-1980  3 30     1.4     0.5     0.5 1
-1980  3 31     1.6     0.7     0.7 1
-1980  4  1     1.5     0.6     0.6 1
-1980  4  2     1.2     0.3     0.3 1
-1980  4  3     2.3     1.4     1.4 1
-1980  4  4     3.6     2.7     2.7 1
-1980  4  5     4.5     3.6     3.6 1
-1980  4  6     8.4     7.6     7.6 1
-1980  4  7     6.4     5.6     5.6 1
-1980  4  8     3.7     2.9     2.9 1
-1980  4  9     2.7     1.9     1.9 1
-1980  4 10     5.0     4.2     4.2 1
-1980  4 11     6.7     5.9     5.9 1
-1980  4 12     8.4     7.6     7.6 1
-1980  4 13     9.4     8.6     8.6 1
-1980  4 14     9.0     8.2     8.2 1
-1980  4 15     9.8     9.0     9.0 1
-1980  4 16     8.9     8.1     8.1 1
-1980  4 17     9.4     8.6     8.6 1
-1980  4 18     6.4     5.5     5.5 1
-1980  4 19     3.0     2.1     2.1 1
-1980  4 20     1.3     0.4     0.4 1
-1980  4 21     4.7     3.8     3.8 1
-1980  4 22     6.9     6.0     6.0 1
-1980  4 23     7.4     6.4     6.4 1
-1980  4 24     6.1     5.1     5.1 1
-1980  4 25     5.1     4.1     4.1 1
-1980  4 26     6.8     5.8     5.8 1
-1980  4 27     5.7     4.7     4.7 1
-1980  4 28     5.5     4.5     4.5 1
-1980  4 29     6.0     4.9     4.9 1
-1980  4 30     5.9     4.8     4.8 1
-1980  5  1     6.3     5.2     5.2 1
-1980  5  2     5.3     4.2     4.2 1
-1980  5  3     4.6     3.5     3.5 1
-1980  5  4     6.3     5.1     5.1 1
-1980  5  5     9.2     8.0     8.0 1
-1980  5  6    10.3     9.1     9.1 1
-1980  5  7     8.8     7.6     7.6 1
-1980  5  8     8.9     7.7     7.7 1
-1980  5  9     7.8     6.5     6.5 1
-1980  5 10     8.5     7.2     7.2 1
-1980  5 11     6.5     5.2     5.2 1
-1980  5 12     7.5     6.2     6.2 1
-1980  5 13     6.1     4.8     4.8 1
-1980  5 14    12.0    10.6    10.6 1
-1980  5 15    11.3     9.9     9.9 1
-1980  5 16    14.3    12.9    12.9 1
-1980  5 17    14.5    13.1    13.1 1
-1980  5 18    14.8    13.5    13.5 1
-1980  5 19     8.9     7.6     7.6 1
-1980  5 20     6.0     4.7     4.7 1
-1980  5 21     4.6     3.3     3.3 1
-1980  5 22     6.1     4.8     4.8 1
-1980  5 23     8.8     7.5     7.5 1
-1980  5 24     8.0     6.7     6.7 1
-1980  5 25     5.7     4.4     4.4 1
-1980  5 26     7.9     6.6     6.6 1
-1980  5 27     9.3     8.0     8.0 1
-1980  5 28    12.8    11.5    11.5 1
-1980  5 29    14.4    13.2    13.2 1
-1980  5 30    12.7    11.5    11.5 1
-1980  5 31    11.6    10.4    10.4 1
-1980  6  1    11.8    10.6    10.6 1
-1980  6  2    15.6    14.4    14.4 1
-1980  6  3    17.2    16.0    16.0 1
-1980  6  4    20.3    19.1    19.1 1
-1980  6  5    20.4    19.2    19.2 1
-1980  6  6    19.7    18.5    18.5 1
-1980  6  7    20.4    19.2    19.2 1
-1980  6  8    19.8    18.6    18.6 1
-1980  6  9    20.7    19.6    19.6 1
-1980  6 10    21.5    20.4    20.4 1
-1980  6 11    21.8    20.7    20.7 1
-1980  6 12    12.8    11.7    11.7 1
-1980  6 13    14.5    13.4    13.4 1
-1980  6 14    17.0    15.9    15.9 1
-1980  6 15    16.6    15.5    15.5 1
-1980  6 16    17.9    16.8    16.8 1
-1980  6 17    18.7    17.6    17.6 1
-1980  6 18    16.3    15.2    15.2 1
-1980  6 19    16.5    15.4    15.4 1
-1980  6 20    15.2    14.1    14.1 1
-1980  6 21    14.5    13.4    13.4 1
-1980  6 22    15.5    14.4    14.4 1
-1980  6 23    11.9    10.8    10.8 1
-1980  6 24    15.5    14.4    14.4 1
-1980  6 25    15.7    14.6    14.6 1
-1980  6 26    14.9    13.8    13.8 1
-1980  6 27    14.7    13.6    13.6 1
-1980  6 28    14.5    13.4    13.4 1
-1980  6 29    14.5    13.4    13.4 1
-1980  6 30    15.8    14.8    14.8 1
-1980  7  1    16.6    15.6    15.6 1
-1980  7  2    15.7    14.7    14.7 1
-1980  7  3    16.0    15.0    15.0 1
-1980  7  4    17.4    16.4    16.4 1
-1980  7  5    15.9    14.9    14.9 1
-1980  7  6    15.0    14.0    14.0 1
-1980  7  7    16.5    15.5    15.5 1
-1980  7  8    17.8    16.8    16.8 1
-1980  7  9    17.0    16.0    16.0 1
-1980  7 10    17.8    16.8    16.8 1
-1980  7 11    17.8    16.8    16.8 1
-1980  7 12    16.8    15.8    15.8 1
-1980  7 13    16.3    15.3    15.3 1
-1980  7 14    16.8    15.8    15.8 1
-1980  7 15    17.5    16.5    16.5 1
-1980  7 16    15.8    14.8    14.8 1
-1980  7 17    14.5    13.5    13.5 1
-1980  7 18    16.5    15.5    15.5 1
-1980  7 19    16.7    15.7    15.7 1
-1980  7 20    15.3    14.3    14.3 1
-1980  7 21    16.0    15.0    15.0 1
-1980  7 22    17.5    16.5    16.5 1
-1980  7 23    19.0    18.0    18.0 1
-1980  7 24    20.8    19.9    19.9 1
-1980  7 25    20.5    19.6    19.6 1
-1980  7 26    20.2    19.3    19.3 1
-1980  7 27    20.4    19.5    19.5 1
-1980  7 28    20.9    20.0    20.0 1
-1980  7 29    21.6    20.7    20.7 1
-1980  7 30    21.7    20.8    20.8 1
-1980  7 31    22.4    21.5    21.5 1
-1980  8  1    22.1    21.2    21.2 1
-1980  8  2    21.4    20.5    20.5 1
-1980  8  3    20.4    19.5    19.5 1
-1980  8  4    19.3    18.4    18.4 1
-1980  8  5    20.1    19.2    19.2 1
-1980  8  6    18.2    17.4    17.4 1
-1980  8  7    16.1    15.3    15.3 1
-1980  8  8    13.6    12.8    12.8 1
-1980  8  9    12.1    11.3    11.3 1
-1980  8 10    11.2    10.4    10.4 1
-1980  8 11    13.4    12.6    12.6 1
-1980  8 12    14.1    13.3    13.3 1
-1980  8 13    17.6    16.8    16.8 1
-1980  8 14    17.5    16.7    16.7 1
-1980  8 15    18.4    17.6    17.6 1
-1980  8 16    18.7    17.9    17.9 1
-1980  8 17    16.3    15.6    15.6 1
-1980  8 18    15.2    14.5    14.5 1
-1980  8 19    15.2    14.5    14.5 1
-1980  8 20    14.7    14.0    14.0 1
-1980  8 21    13.3    12.6    12.6 1
-1980  8 22    12.5    11.8    11.8 1
-1980  8 23    14.9    14.2    14.2 1
-1980  8 24    13.0    12.4    12.4 1
-1980  8 25    12.0    11.4    11.4 1
-1980  8 26    12.4    11.8    11.8 1
-1980  8 27    12.6    12.0    12.0 1
-1980  8 28    11.7    11.1    11.1 1
-1980  8 29    13.2    12.6    12.6 1
-1980  8 30    11.5    11.0    11.0 1
-1980  8 31    11.6    11.1    11.1 1
-1980  9  1    12.9    12.4    12.4 1
-1980  9  2    14.2    13.7    13.7 1
-1980  9  3    15.6    15.1    15.1 1
-1980  9  4    15.8    15.3    15.3 1
-1980  9  5    14.2    13.7    13.7 1
-1980  9  6    14.8    14.4    14.4 1
-1980  9  7    15.2    14.8    14.8 1
-1980  9  8    17.6    17.2    17.2 1
-1980  9  9    15.8    15.4    15.4 1
-1980  9 10    12.5    12.1    12.1 1
-1980  9 11    12.5    12.1    12.1 1
-1980  9 12    14.6    14.3    14.3 1
-1980  9 13    13.4    13.1    13.1 1
-1980  9 14    12.1    11.8    11.8 1
-1980  9 15    12.8    12.5    12.5 1
-1980  9 16    12.2    11.9    11.9 1
-1980  9 17    12.2    11.9    11.9 1
-1980  9 18    12.6    12.3    12.3 1
-1980  9 19    13.2    12.9    12.9 1
-1980  9 20    14.2    13.9    13.9 1
-1980  9 21    13.9    13.6    13.6 1
-1980  9 22    12.1    11.8    11.8 1
-1980  9 23    11.0    10.7    10.7 1
-1980  9 24    12.2    11.9    11.9 1
-1980  9 25    12.8    12.5    12.5 1
-1980  9 26    10.4    10.1    10.1 1
-1980  9 27    11.3    11.0    11.0 1
-1980  9 28    10.6    10.3    10.3 1
-1980  9 29    11.0    10.7    10.7 1
-1980  9 30    10.9    10.6    10.6 1
-1980 10  1     9.9     9.6     9.6 1
-1980 10  2     9.1     8.8     8.8 1
-1980 10  3     7.7     7.4     7.4 1
-1980 10  4     8.6     8.3     8.3 1
-1980 10  5    10.0     9.7     9.7 1
-1980 10  6     9.2     8.9     8.9 1
-1980 10  7    10.7    10.4    10.4 1
-1980 10  8     8.8     8.5     8.5 1
-1980 10  9     9.3     9.0     9.0 1
-1980 10 10     8.7     8.4     8.4 1
-1980 10 11     8.3     8.1     8.1 1
-1980 10 12     8.3     8.1     8.1 1
-1980 10 13     7.7     7.5     7.5 1
-1980 10 14     7.0     6.8     6.8 1
-1980 10 15     6.6     6.4     6.4 1
-1980 10 16     3.8     3.6     3.6 1
-1980 10 17     6.9     6.6     6.6 1
-1980 10 18    11.2    10.9    10.9 1
-1980 10 19     8.7     8.4     8.4 1
-1980 10 20     5.9     5.6     5.6 1
-1980 10 21     2.8     2.5     2.5 1
-1980 10 22     1.9     1.6     1.6 1
-1980 10 23     2.1     1.8     1.8 1
-1980 10 24     5.7     5.4     5.4 1
-1980 10 25     1.9     1.6     1.6 1
-1980 10 26    -2.7    -3.0    -3.0 1
-1980 10 27     1.6     1.3     1.3 1
-1980 10 28     4.7     4.4     4.4 1
-1980 10 29     4.1     3.8     3.8 1
-1980 10 30    -0.6    -1.0    -1.0 1
-1980 10 31    -3.0    -3.4    -3.4 1
-1980 11  1    -0.9    -1.3    -1.3 1
-1980 11  2     0.2    -0.2    -0.2 1
-1980 11  3     0.5     0.1     0.1 1
-1980 11  4     1.2     0.8     0.8 1
-1980 11  5     1.8     1.4     1.4 1
-1980 11  6     2.9     2.5     2.5 1
-1980 11  7     1.9     1.5     1.5 1
-1980 11  8     1.0     0.6     0.6 1
-1980 11  9     0.1    -0.3    -0.3 1
-1980 11 10    -4.0    -4.4    -4.4 1
-1980 11 11    -2.9    -3.3    -3.3 1
-1980 11 12    -0.1    -0.5    -0.5 1
-1980 11 13    -2.4    -2.9    -2.9 1
-1980 11 14     0.5     0.0     0.0 1
-1980 11 15     1.2     0.7     0.7 1
-1980 11 16     5.4     4.9     4.9 1
-1980 11 17     4.1     3.6     3.6 1
-1980 11 18     8.0     7.5     7.5 1
-1980 11 19    -0.8    -1.3    -1.3 1
-1980 11 20    -1.0    -1.5    -1.5 1
-1980 11 21     7.2     6.7     6.7 1
-1980 11 22     7.2     6.7     6.7 1
-1980 11 23     9.0     8.5     8.5 1
-1980 11 24     0.9     0.4     0.4 1
-1980 11 25    -3.8    -4.3    -4.3 1
-1980 11 26    -6.5    -7.0    -7.0 1
-1980 11 27    -4.2    -4.7    -4.7 1
-1980 11 28    -0.8    -1.3    -1.3 1
-1980 11 29    -5.6    -6.1    -6.1 1
-1980 11 30    -7.5    -8.0    -8.0 1
-1980 12  1    -0.2    -0.7    -0.7 1
-1980 12  2     2.7     2.2     2.2 1
-1980 12  3    -3.3    -3.8    -3.8 1
-1980 12  4    -6.9    -7.4    -7.4 1
-1980 12  5   -10.5   -11.1   -11.1 1
-1980 12  6    -9.3    -9.9    -9.9 1
-1980 12  7    -7.7    -8.3    -8.3 1
-1980 12  8    -5.6    -6.2    -6.2 1
-1980 12  9     3.3     2.7     2.7 1
-1980 12 10     0.1    -0.5    -0.5 1
-1980 12 11     0.9     0.3     0.3 1
-1980 12 12     0.2    -0.4    -0.4 1
-1980 12 13     5.8     5.2     5.2 1
-1980 12 14     2.7     2.1     2.1 1
-1980 12 15     3.1     2.5     2.5 1
-1980 12 16    -5.0    -5.6    -5.6 1
-1980 12 17    -2.8    -3.4    -3.4 1
-1980 12 18     1.9     1.3     1.3 1
-1980 12 19     1.6     1.0     1.0 1
-1980 12 20     1.4     0.8     0.8 1
-1980 12 21     2.2     1.6     1.6 1
-1980 12 22     0.8     0.2     0.2 1
-1980 12 23     1.9     1.3     1.3 1
-1980 12 24     1.2     0.6     0.6 1
-1980 12 25     1.3     0.6     0.6 1
-1980 12 26     1.4     0.7     0.7 1
-1980 12 27    -1.4    -2.1    -2.1 1
-1980 12 28     0.9     0.2     0.2 1
-1980 12 29     4.4     3.7     3.7 1
-1980 12 30     4.1     3.4     3.4 1
-1980 12 31     4.7     4.0     4.0 1
-1981  1  1     0.3    -0.4    -0.4 1
-1981  1  2    -1.4    -2.1    -2.1 1
-1981  1  3    -5.9    -6.6    -6.6 1
-1981  1  4    -6.0    -6.7    -6.7 1
-1981  1  5   -11.9   -12.6   -12.6 1
-1981  1  6   -13.1   -13.8   -13.8 1
-1981  1  7   -11.1   -11.8   -11.8 1
-1981  1  8    -5.4    -6.1    -6.1 1
-1981  1  9     3.4     2.7     2.7 1
-1981  1 10    -2.6    -3.3    -3.3 1
-1981  1 11    -4.5    -5.3    -5.3 1
-1981  1 12     0.9     0.1     0.1 1
-1981  1 13    -2.9    -3.7    -3.7 1
-1981  1 14    -3.4    -4.2    -4.2 1
-1981  1 15    -0.5    -1.3    -1.3 1
-1981  1 16    -3.9    -4.7    -4.7 1
-1981  1 17    -5.7    -6.5    -6.5 1
-1981  1 18    -6.7    -7.5    -7.5 1
-1981  1 19    -7.9    -8.7    -8.7 1
-1981  1 20   -13.0   -13.8   -13.8 1
-1981  1 21    -7.1    -7.9    -7.9 1
-1981  1 22    -0.8    -1.6    -1.6 1
-1981  1 23    -0.2    -1.0    -1.0 1
-1981  1 24     2.8     2.0     2.0 1
-1981  1 25     0.3    -0.5    -0.5 1
-1981  1 26    -3.9    -4.7    -4.7 1
-1981  1 27    -2.0    -2.8    -2.8 1
-1981  1 28     1.3     0.5     0.5 1
-1981  1 29     1.6     0.8     0.8 1
-1981  1 30     3.9     3.1     3.1 1
-1981  1 31     4.8     4.0     4.0 1
-1981  2  1     5.6     4.8     4.8 1
-1981  2  2     4.6     3.8     3.8 1
-1981  2  3     2.0     1.2     1.2 1
-1981  2  4     0.4    -0.4    -0.4 1
-1981  2  5    -2.0    -2.8    -2.8 1
-1981  2  6    -2.2    -3.0    -3.0 1
-1981  2  7     0.7    -0.1    -0.1 1
-1981  2  8     1.2     0.4     0.4 1
-1981  2  9    -0.9    -1.7    -1.7 1
-1981  2 10    -3.1    -3.9    -3.9 1
-1981  2 11    -1.1    -1.9    -1.9 1
-1981  2 12    -2.2    -3.0    -3.0 1
-1981  2 13    -4.1    -4.9    -4.9 1
-1981  2 14    -4.2    -5.0    -5.0 1
-1981  2 15    -3.1    -3.9    -3.9 1
-1981  2 16    -2.0    -2.9    -2.9 1
-1981  2 17    -0.9    -1.8    -1.8 1
-1981  2 18    -2.3    -3.2    -3.2 1
-1981  2 19    -4.6    -5.5    -5.5 1
-1981  2 20    -6.4    -7.3    -7.3 1
-1981  2 21    -8.4    -9.3    -9.3 1
-1981  2 22    -4.9    -5.8    -5.8 1
-1981  2 23    -4.4    -5.3    -5.3 1
-1981  2 24    -0.8    -1.7    -1.7 1
-1981  2 25     0.3    -0.6    -0.6 1
-1981  2 26    -3.8    -4.7    -4.7 1
-1981  2 27    -3.7    -4.6    -4.6 1
-1981  2 28    -2.0    -2.9    -2.9 1
-1981  3  1    -1.0    -1.9    -1.9 1
-1981  3  2    -2.7    -3.6    -3.6 1
-1981  3  3    -3.7    -4.6    -4.6 1
-1981  3  4    -5.0    -5.9    -5.9 1
-1981  3  5    -7.7    -8.6    -8.6 1
-1981  3  6    -7.0    -7.9    -7.9 1
-1981  3  7    -2.8    -3.7    -3.7 1
-1981  3  8     2.6     1.7     1.7 1
-1981  3  9     4.2     3.3     3.3 1
-1981  3 10     1.0     0.1     0.1 1
-1981  3 11    -4.2    -5.1    -5.1 1
-1981  3 12    -5.9    -6.8    -6.8 1
-1981  3 13    -2.5    -3.5    -3.5 1
-1981  3 14   -10.0   -11.0   -11.0 1
-1981  3 15    -7.7    -8.7    -8.7 1
-1981  3 16    -5.5    -6.5    -6.5 1
-1981  3 17    -2.7    -3.6    -3.6 1
-1981  3 18    -0.9    -1.8    -1.8 1
-1981  3 19     0.1    -0.8    -0.8 1
-1981  3 20    -1.2    -2.1    -2.1 1
-1981  3 21    -2.8    -3.7    -3.7 1
-1981  3 22     5.8     4.9     4.9 1
-1981  3 23     5.6     4.7     4.7 1
-1981  3 24     1.9     1.0     1.0 1
-1981  3 25     2.6     1.7     1.7 1
-1981  3 26     0.9     0.0     0.0 1
-1981  3 27    -0.2    -1.1    -1.1 1
-1981  3 28    -0.7    -1.6    -1.6 1
-1981  3 29     1.7     0.8     0.8 1
-1981  3 30     2.2     1.3     1.3 1
-1981  3 31     4.2     3.3     3.3 1
-1981  4  1     5.2     4.3     4.3 1
-1981  4  2     5.1     4.2     4.2 1
-1981  4  3     6.4     5.5     5.5 1
-1981  4  4     5.6     4.7     4.7 1
-1981  4  5     5.2     4.3     4.3 1
-1981  4  6     8.0     7.2     7.2 1
-1981  4  7     6.8     6.0     6.0 1
-1981  4  8     7.7     6.9     6.9 1
-1981  4  9     8.8     8.0     8.0 1
-1981  4 10     9.0     8.2     8.2 1
-1981  4 11     8.6     7.8     7.8 1
-1981  4 12     9.4     8.6     8.6 1
-1981  4 13     6.0     5.2     5.2 1
-1981  4 14     7.2     6.4     6.4 1
-1981  4 15     5.1     4.3     4.3 1
-1981  4 16     2.1     1.3     1.3 1
-1981  4 17     1.7     0.9     0.9 1
-1981  4 18     3.9     3.0     3.0 1
-1981  4 19     4.6     3.7     3.7 1
-1981  4 20     7.3     6.4     6.4 1
-1981  4 21     2.1     1.2     1.2 1
-1981  4 22    -2.5    -3.4    -3.4 1
-1981  4 23    -1.6    -2.6    -2.6 1
-1981  4 24     1.4     0.4     0.4 1
-1981  4 25     2.9     1.9     1.9 1
-1981  4 26     4.8     3.8     3.8 1
-1981  4 27     5.1     4.1     4.1 1
-1981  4 28     2.7     1.7     1.7 1
-1981  4 29     3.0     1.9     1.9 1
-1981  4 30     1.5     0.4     0.4 1
-1981  5  1     0.0    -1.1    -1.1 1
-1981  5  2     2.4     1.3     1.3 1
-1981  5  3     1.4     0.3     0.3 1
-1981  5  4     3.9     2.7     2.7 1
-1981  5  5     6.3     5.1     5.1 1
-1981  5  6     7.5     6.3     6.3 1
-1981  5  7    10.2     9.0     9.0 1
-1981  5  8    11.0     9.8     9.8 1
-1981  5  9    12.2    10.9    10.9 1
-1981  5 10    16.8    15.5    15.5 1
-1981  5 11    15.1    13.8    13.8 1
-1981  5 12    10.5     9.2     9.2 1
-1981  5 13     9.7     8.4     8.4 1
-1981  5 14    12.2    10.8    10.8 1
-1981  5 15    15.1    13.7    13.7 1
-1981  5 16    14.2    12.8    12.8 1
-1981  5 17    13.3    11.9    11.9 1
-1981  5 18    15.1    13.8    13.8 1
-1981  5 19    16.2    14.9    14.9 1
-1981  5 20    11.6    10.3    10.3 1
-1981  5 21    18.3    17.0    17.0 1
-1981  5 22    18.5    17.2    17.2 1
-1981  5 23    18.2    16.9    16.9 1
-1981  5 24    17.4    16.1    16.1 1
-1981  5 25    11.9    10.6    10.6 1
-1981  5 26    14.1    12.8    12.8 1
-1981  5 27    13.6    12.3    12.3 1
-1981  5 28    13.3    12.0    12.0 1
-1981  5 29    14.5    13.3    13.3 1
-1981  5 30    14.7    13.5    13.5 1
-1981  5 31    16.4    15.2    15.2 1
-1981  6  1    16.9    15.7    15.7 1
-1981  6  2    16.2    15.0    15.0 1
-1981  6  3    14.9    13.7    13.7 1
-1981  6  4    13.9    12.7    12.7 1
-1981  6  5    15.0    13.8    13.8 1
-1981  6  6    15.3    14.1    14.1 1
-1981  6  7    13.4    12.2    12.2 1
-1981  6  8    14.0    12.8    12.8 1
-1981  6  9    15.8    14.7    14.7 1
-1981  6 10    15.7    14.6    14.6 1
-1981  6 11    13.3    12.2    12.2 1
-1981  6 12    11.2    10.1    10.1 1
-1981  6 13     7.8     6.7     6.7 1
-1981  6 14    11.9    10.8    10.8 1
-1981  6 15    13.7    12.6    12.6 1
-1981  6 16    10.8     9.7     9.7 1
-1981  6 17    12.1    11.0    11.0 1
-1981  6 18    11.9    10.8    10.8 1
-1981  6 19    11.9    10.8    10.8 1
-1981  6 20    13.2    12.1    12.1 1
-1981  6 21    13.3    12.2    12.2 1
-1981  6 22    15.1    14.0    14.0 1
-1981  6 23    16.2    15.1    15.1 1
-1981  6 24    14.1    13.0    13.0 1
-1981  6 25    14.1    13.0    13.0 1
-1981  6 26    12.3    11.2    11.2 1
-1981  6 27    14.2    13.1    13.1 1
-1981  6 28    14.4    13.3    13.3 1
-1981  6 29    16.5    15.4    15.4 1
-1981  6 30    13.6    12.5    12.5 1
-1981  7  1    13.2    12.2    12.2 1
-1981  7  2    16.0    15.0    15.0 1
-1981  7  3    15.8    14.8    14.8 1
-1981  7  4    15.3    14.3    14.3 1
-1981  7  5    16.6    15.6    15.6 1
-1981  7  6    18.4    17.4    17.4 1
-1981  7  7    18.2    17.2    17.2 1
-1981  7  8    19.2    18.2    18.2 1
-1981  7  9    20.9    19.9    19.9 1
-1981  7 10    20.3    19.3    19.3 1
-1981  7 11    21.5    20.5    20.5 1
-1981  7 12    21.2    20.2    20.2 1
-1981  7 13    19.7    18.7    18.7 1
-1981  7 14    15.9    14.9    14.9 1
-1981  7 15    14.5    13.5    13.5 1
-1981  7 16    16.1    15.1    15.1 1
-1981  7 17    14.7    13.7    13.7 1
-1981  7 18    15.2    14.2    14.2 1
-1981  7 19    15.1    14.1    14.1 1
-1981  7 20    17.4    16.4    16.4 1
-1981  7 21    15.8    14.8    14.8 1
-1981  7 22    15.6    14.6    14.6 1
-1981  7 23    18.9    17.9    17.9 1
-1981  7 24    18.8    17.9    17.9 1
-1981  7 25    18.0    17.1    17.1 1
-1981  7 26    17.4    16.5    16.5 1
-1981  7 27    16.6    15.7    15.7 1
-1981  7 28    17.9    17.0    17.0 1
-1981  7 29    19.2    18.3    18.3 1
-1981  7 30    15.3    14.4    14.4 1
-1981  7 31    20.3    19.4    19.4 1
-1981  8  1    17.3    16.4    16.4 1
-1981  8  2    16.9    16.0    16.0 1
-1981  8  3    18.2    17.3    17.3 1
-1981  8  4    19.4    18.5    18.5 1
-1981  8  5    20.4    19.5    19.5 1
-1981  8  6    21.6    20.8    20.8 1
-1981  8  7    18.6    17.8    17.8 1
-1981  8  8    14.9    14.1    14.1 1
-1981  8  9    16.6    15.8    15.8 1
-1981  8 10    18.6    17.8    17.8 1
-1981  8 11    19.4    18.6    18.6 1
-1981  8 12    20.3    19.5    19.5 1
-1981  8 13    21.4    20.6    20.6 1
-1981  8 14    18.8    18.0    18.0 1
-1981  8 15    18.7    17.9    17.9 1
-1981  8 16    13.7    12.9    12.9 1
-1981  8 17    11.4    10.7    10.7 1
-1981  8 18    14.2    13.5    13.5 1
-1981  8 19    15.5    14.8    14.8 1
-1981  8 20    14.0    13.3    13.3 1
-1981  8 21    13.1    12.4    12.4 1
-1981  8 22    13.6    12.9    12.9 1
-1981  8 23    12.7    12.0    12.0 1
-1981  8 24    11.7    11.1    11.1 1
-1981  8 25    12.4    11.8    11.8 1
-1981  8 26    11.2    10.6    10.6 1
-1981  8 27    10.3     9.7     9.7 1
-1981  8 28    11.1    10.5    10.5 1
-1981  8 29    10.0     9.4     9.4 1
-1981  8 30    11.1    10.6    10.6 1
-1981  8 31     9.1     8.6     8.6 1
-1981  9  1    11.8    11.3    11.3 1
-1981  9  2    12.1    11.6    11.6 1
-1981  9  3    13.3    12.8    12.8 1
-1981  9  4    12.9    12.4    12.4 1
-1981  9  5    14.3    13.8    13.8 1
-1981  9  6    16.1    15.7    15.7 1
-1981  9  7    12.2    11.8    11.8 1
-1981  9  8    14.9    14.5    14.5 1
-1981  9  9    17.0    16.6    16.6 1
-1981  9 10    15.4    15.0    15.0 1
-1981  9 11    11.5    11.1    11.1 1
-1981  9 12    10.5    10.2    10.2 1
-1981  9 13    10.0     9.7     9.7 1
-1981  9 14     8.5     8.2     8.2 1
-1981  9 15    10.6    10.3    10.3 1
-1981  9 16     7.1     6.8     6.8 1
-1981  9 17     8.1     7.8     7.8 1
-1981  9 18     8.9     8.6     8.6 1
-1981  9 19     9.1     8.8     8.8 1
-1981  9 20     9.7     9.4     9.4 1
-1981  9 21    10.8    10.5    10.5 1
-1981  9 22    12.7    12.4    12.4 1
-1981  9 23    13.5    13.2    13.2 1
-1981  9 24    12.1    11.8    11.8 1
-1981  9 25    13.0    12.7    12.7 1
-1981  9 26    14.1    13.8    13.8 1
-1981  9 27    11.6    11.3    11.3 1
-1981  9 28    13.7    13.4    13.4 1
-1981  9 29    14.2    13.9    13.9 1
-1981  9 30    11.8    11.5    11.5 1
-1981 10  1    12.7    12.4    12.4 1
-1981 10  2    12.2    11.9    11.9 1
-1981 10  3    11.4    11.1    11.1 1
-1981 10  4    11.7    11.4    11.4 1
-1981 10  5    11.6    11.3    11.3 1
-1981 10  6     9.5     9.2     9.2 1
-1981 10  7    10.3    10.0    10.0 1
-1981 10  8     8.6     8.3     8.3 1
-1981 10  9     7.5     7.2     7.2 1
-1981 10 10    10.6    10.4    10.4 1
-1981 10 11     7.9     7.7     7.7 1
-1981 10 12     7.6     7.4     7.4 1
-1981 10 13     5.9     5.7     5.7 1
-1981 10 14     6.1     5.9     5.9 1
-1981 10 15     6.1     5.9     5.9 1
-1981 10 16     5.0     4.8     4.8 1
-1981 10 17     5.5     5.2     5.2 1
-1981 10 18     2.6     2.3     2.3 1
-1981 10 19     4.0     3.7     3.7 1
-1981 10 20     7.4     7.1     7.1 1
-1981 10 21     6.1     5.8     5.8 1
-1981 10 22     5.0     4.7     4.7 1
-1981 10 23     3.5     3.2     3.2 1
-1981 10 24     2.8     2.5     2.5 1
-1981 10 25     2.8     2.5     2.5 1
-1981 10 26     2.2     1.9     1.9 1
-1981 10 27     3.7     3.4     3.4 1
-1981 10 28     6.3     6.0     6.0 1
-1981 10 29     5.2     4.9     4.9 1
-1981 10 30     5.2     4.8     4.8 1
-1981 10 31     4.2     3.8     3.8 1
-1981 11  1     2.1     1.7     1.7 1
-1981 11  2     3.0     2.6     2.6 1
-1981 11  3    -0.5    -0.9    -0.9 1
-1981 11  4     5.5     5.1     5.1 1
-1981 11  5     4.2     3.8     3.8 1
-1981 11  6     1.3     0.9     0.9 1
-1981 11  7     0.5     0.1     0.1 1
-1981 11  8     0.6     0.2     0.2 1
-1981 11  9    -1.2    -1.6    -1.6 1
-1981 11 10     0.3    -0.1    -0.1 1
-1981 11 11     4.1     3.7     3.7 1
-1981 11 12     0.5     0.1     0.1 1
-1981 11 13     1.8     1.3     1.3 1
-1981 11 14     0.2    -0.3    -0.3 1
-1981 11 15     0.7     0.2     0.2 1
-1981 11 16     0.6     0.1     0.1 1
-1981 11 17     2.4     1.9     1.9 1
-1981 11 18     4.6     4.1     4.1 1
-1981 11 19     4.8     4.3     4.3 1
-1981 11 20     3.1     2.6     2.6 1
-1981 11 21     4.4     3.9     3.9 1
-1981 11 22     1.4     0.9     0.9 1
-1981 11 23     2.1     1.6     1.6 1
-1981 11 24     3.5     3.0     3.0 1
-1981 11 25    -0.5    -1.0    -1.0 1
-1981 11 26    -3.8    -4.3    -4.3 1
-1981 11 27    -4.3    -4.8    -4.8 1
-1981 11 28     3.4     2.9     2.9 1
-1981 11 29     2.1     1.6     1.6 1
-1981 11 30     0.8     0.3     0.3 1
-1981 12  1     1.6     1.1     1.1 1
-1981 12  2    -0.9    -1.4    -1.4 1
-1981 12  3     2.8     2.3     2.3 1
-1981 12  4     1.7     1.2     1.2 1
-1981 12  5    -3.3    -3.9    -3.9 1
-1981 12  6    -7.4    -8.0    -8.0 1
-1981 12  7    -5.1    -5.7    -5.7 1
-1981 12  8    -3.1    -3.7    -3.7 1
-1981 12  9    -2.7    -3.3    -3.3 1
-1981 12 10    -5.6    -6.2    -6.2 1
-1981 12 11    -4.4    -5.0    -5.0 1
-1981 12 12    -5.2    -5.8    -5.8 1
-1981 12 13   -12.6   -13.2   -13.2 1
-1981 12 14   -12.1   -12.7   -12.7 1
-1981 12 15    -9.5   -10.1   -10.1 1
-1981 12 16   -11.4   -12.0   -12.0 1
-1981 12 17   -12.8   -13.4   -13.4 1
-1981 12 18    -8.9    -9.5    -9.5 1
-1981 12 19    -7.1    -7.7    -7.7 1
-1981 12 20    -5.4    -6.0    -6.0 1
-1981 12 21    -6.1    -6.7    -6.7 1
-1981 12 22    -1.4    -2.0    -2.0 1
-1981 12 23    -1.9    -2.5    -2.5 1
-1981 12 24    -4.0    -4.6    -4.6 1
-1981 12 25    -6.5    -7.2    -7.2 1
-1981 12 26    -9.9   -10.6   -10.6 1
-1981 12 27    -5.2    -5.9    -5.9 1
-1981 12 28    -7.6    -8.3    -8.3 1
-1981 12 29    -3.6    -4.3    -4.3 1
-1981 12 30    -0.1    -0.8    -0.8 1
-1981 12 31    -0.6    -1.3    -1.3 1
-1982  1  1    -3.9    -4.6    -4.6 1
-1982  1  2    -9.3   -10.0   -10.0 1
-1982  1  3    -2.3    -3.0    -3.0 1
-1982  1  4   -15.1   -15.8   -15.8 1
-1982  1  5   -14.0   -14.7   -14.7 1
-1982  1  6   -12.3   -13.0   -13.0 1
-1982  1  7   -15.0   -15.7   -15.7 1
-1982  1  8   -14.2   -14.9   -14.9 1
-1982  1  9   -14.6   -15.3   -15.3 1
-1982  1 10    -8.5    -9.2    -9.2 1
-1982  1 11    -6.7    -7.5    -7.5 1
-1982  1 12    -9.2   -10.0   -10.0 1
-1982  1 13    -6.5    -7.3    -7.3 1
-1982  1 14     0.3    -0.5    -0.5 1
-1982  1 15     0.2    -0.6    -0.6 1
-1982  1 16    -4.8    -5.6    -5.6 1
-1982  1 17    -1.0    -1.8    -1.8 1
-1982  1 18    -1.3    -2.1    -2.1 1
-1982  1 19    -2.4    -3.2    -3.2 1
-1982  1 20    -3.3    -4.1    -4.1 1
-1982  1 21    -5.6    -6.4    -6.4 1
-1982  1 22    -5.8    -6.6    -6.6 1
-1982  1 23    -2.4    -3.2    -3.2 1
-1982  1 24    -9.1    -9.9    -9.9 1
-1982  1 25    -2.5    -3.3    -3.3 1
-1982  1 26    -0.7    -1.5    -1.5 1
-1982  1 27    -7.6    -8.4    -8.4 1
-1982  1 28    -7.2    -8.0    -8.0 1
-1982  1 29    -1.0    -1.8    -1.8 1
-1982  1 30    -4.6    -5.4    -5.4 1
-1982  1 31   -10.0   -10.8   -10.8 1
-1982  2  1    -9.1    -9.9    -9.9 1
-1982  2  2    -2.6    -3.4    -3.4 1
-1982  2  3    -2.4    -3.2    -3.2 1
-1982  2  4    -6.2    -7.0    -7.0 1
-1982  2  5    -7.6    -8.4    -8.4 1
-1982  2  6    -5.9    -6.7    -6.7 1
-1982  2  7    -2.9    -3.7    -3.7 1
-1982  2  8    -5.0    -5.8    -5.8 1
-1982  2  9    -3.3    -4.1    -4.1 1
-1982  2 10     1.8     1.0     1.0 1
-1982  2 11     1.2     0.4     0.4 1
-1982  2 12     2.0     1.2     1.2 1
-1982  2 13     0.6    -0.2    -0.2 1
-1982  2 14    -0.4    -1.2    -1.2 1
-1982  2 15    -0.9    -1.7    -1.7 1
-1982  2 16    -2.1    -3.0    -3.0 1
-1982  2 17    -3.2    -4.1    -4.1 1
-1982  2 18    -4.4    -5.3    -5.3 1
-1982  2 19    -4.6    -5.5    -5.5 1
-1982  2 20    -4.6    -5.5    -5.5 1
-1982  2 21    -5.8    -6.7    -6.7 1
-1982  2 22    -6.9    -7.8    -7.8 1
-1982  2 23    -5.8    -6.7    -6.7 1
-1982  2 24    -4.0    -4.9    -4.9 1
-1982  2 25    -0.2    -1.1    -1.1 1
-1982  2 26    -2.5    -3.4    -3.4 1
-1982  2 27    -1.5    -2.4    -2.4 1
-1982  2 28    -2.4    -3.3    -3.3 1
-1982  3  1     1.8     0.9     0.9 1
-1982  3  2     2.9     2.0     2.0 1
-1982  3  3     1.6     0.7     0.7 1
-1982  3  4     2.5     1.6     1.6 1
-1982  3  5    -3.4    -4.3    -4.3 1
-1982  3  6    -3.5    -4.4    -4.4 1
-1982  3  7     1.1     0.2     0.2 1
-1982  3  8     0.0    -0.9    -0.9 1
-1982  3  9     0.6    -0.3    -0.3 1
-1982  3 10     0.2    -0.7    -0.7 1
-1982  3 11     0.9     0.0     0.0 1
-1982  3 12     1.3     0.4     0.4 1
-1982  3 13     1.5     0.5     0.5 1
-1982  3 14     1.3     0.3     0.3 1
-1982  3 15     2.4     1.4     1.4 1
-1982  3 16     3.4     2.4     2.4 1
-1982  3 17     2.0     1.1     1.1 1
-1982  3 18     1.7     0.8     0.8 1
-1982  3 19     0.5    -0.4    -0.4 1
-1982  3 20     0.3    -0.6    -0.6 1
-1982  3 21     0.8    -0.1    -0.1 1
-1982  3 22     1.2     0.3     0.3 1
-1982  3 23     2.6     1.7     1.7 1
-1982  3 24     2.9     2.0     2.0 1
-1982  3 25     6.0     5.1     5.1 1
-1982  3 26     7.0     6.1     6.1 1
-1982  3 27     6.7     5.8     5.8 1
-1982  3 28     5.0     4.1     4.1 1
-1982  3 29     2.5     1.6     1.6 1
-1982  3 30     3.2     2.3     2.3 1
-1982  3 31     6.4     5.5     5.5 1
-1982  4  1     8.5     7.6     7.6 1
-1982  4  2     5.3     4.4     4.4 1
-1982  4  3     5.6     4.7     4.7 1
-1982  4  4     7.0     6.1     6.1 1
-1982  4  5     3.4     2.5     2.5 1
-1982  4  6     4.3     3.5     3.5 1
-1982  4  7     4.8     4.0     4.0 1
-1982  4  8     3.7     2.9     2.9 1
-1982  4  9    -0.9    -1.7    -1.7 1
-1982  4 10     1.1     0.3     0.3 1
-1982  4 11     0.5    -0.3    -0.3 1
-1982  4 12    -0.8    -1.6    -1.6 1
-1982  4 13     1.0     0.2     0.2 1
-1982  4 14     3.8     3.0     3.0 1
-1982  4 15     6.3     5.5     5.5 1
-1982  4 16     7.0     6.2     6.2 1
-1982  4 17     5.6     4.8     4.8 1
-1982  4 18     5.9     5.0     5.0 1
-1982  4 19     5.4     4.5     4.5 1
-1982  4 20     4.3     3.4     3.4 1
-1982  4 21     3.6     2.7     2.7 1
-1982  4 22     5.5     4.6     4.6 1
-1982  4 23     7.6     6.6     6.6 1
-1982  4 24     8.5     7.5     7.5 1
-1982  4 25    10.3     9.3     9.3 1
-1982  4 26     7.5     6.5     6.5 1
-1982  4 27     8.0     7.0     7.0 1
-1982  4 28     6.5     5.5     5.5 1
-1982  4 29     4.1     3.0     3.0 1
-1982  4 30     5.5     4.4     4.4 1
-1982  5  1     5.1     4.0     4.0 1
-1982  5  2     6.1     5.0     5.0 1
-1982  5  3     6.1     5.0     5.0 1
-1982  5  4     7.0     5.8     5.8 1
-1982  5  5     8.4     7.2     7.2 1
-1982  5  6     8.4     7.2     7.2 1
-1982  5  7     9.6     8.4     8.4 1
-1982  5  8     7.5     6.3     6.3 1
-1982  5  9     9.5     8.2     8.2 1
-1982  5 10     9.6     8.3     8.3 1
-1982  5 11     9.3     8.0     8.0 1
-1982  5 12    11.3    10.0    10.0 1
-1982  5 13    11.4    10.1    10.1 1
-1982  5 14     8.7     7.3     7.3 1
-1982  5 15    10.0     8.6     8.6 1
-1982  5 16    10.6     9.2     9.2 1
-1982  5 17    14.5    13.1    13.1 1
-1982  5 18     9.9     8.6     8.6 1
-1982  5 19     6.5     5.2     5.2 1
-1982  5 20     7.6     6.3     6.3 1
-1982  5 21     8.6     7.3     7.3 1
-1982  5 22    10.1     8.8     8.8 1
-1982  5 23     9.7     8.4     8.4 1
-1982  5 24    11.2     9.9     9.9 1
-1982  5 25    13.2    11.9    11.9 1
-1982  5 26    15.3    14.0    14.0 1
-1982  5 27    17.1    15.8    15.8 1
-1982  5 28    15.3    14.0    14.0 1
-1982  5 29    14.5    13.3    13.3 1
-1982  5 30    17.5    16.3    16.3 1
-1982  5 31    20.1    18.9    18.9 1
-1982  6  1    20.8    19.6    19.6 1
-1982  6  2    22.1    20.9    20.9 1
-1982  6  3    23.0    21.8    21.8 1
-1982  6  4    22.8    21.6    21.6 1
-1982  6  5    22.7    21.5    21.5 1
-1982  6  6    12.8    11.6    11.6 1
-1982  6  7    11.5    10.3    10.3 1
-1982  6  8    10.7     9.5     9.5 1
-1982  6  9     7.1     6.0     6.0 1
-1982  6 10     8.4     7.3     7.3 1
-1982  6 11    12.2    11.1    11.1 1
-1982  6 12    10.7     9.6     9.6 1
-1982  6 13     7.2     6.1     6.1 1
-1982  6 14     8.3     7.2     7.2 1
-1982  6 15    10.0     8.9     8.9 1
-1982  6 16    11.7    10.6    10.6 1
-1982  6 17    12.2    11.1    11.1 1
-1982  6 18    12.2    11.1    11.1 1
-1982  6 19    16.4    15.3    15.3 1
-1982  6 20    13.2    12.1    12.1 1
-1982  6 21    10.1     9.0     9.0 1
-1982  6 22    11.6    10.5    10.5 1
-1982  6 23    14.9    13.8    13.8 1
-1982  6 24    13.7    12.6    12.6 1
-1982  6 25    15.0    13.9    13.9 1
-1982  6 26    15.7    14.6    14.6 1
-1982  6 27    14.7    13.6    13.6 1
-1982  6 28    14.9    13.8    13.8 1
-1982  6 29    10.3     9.2     9.2 1
-1982  6 30    10.5     9.4     9.4 1
-1982  7  1    11.3    10.3    10.3 1
-1982  7  2    13.2    12.2    12.2 1
-1982  7  3    12.6    11.6    11.6 1
-1982  7  4    14.3    13.3    13.3 1
-1982  7  5    15.8    14.8    14.8 1
-1982  7  6    16.6    15.6    15.6 1
-1982  7  7    15.2    14.2    14.2 1
-1982  7  8    18.0    17.0    17.0 1
-1982  7  9    19.5    18.5    18.5 1
-1982  7 10    20.1    19.1    19.1 1
-1982  7 11    20.5    19.5    19.5 1
-1982  7 12    21.6    20.6    20.6 1
-1982  7 13    18.8    17.8    17.8 1
-1982  7 14    18.7    17.7    17.7 1
-1982  7 15    19.3    18.3    18.3 1
-1982  7 16    22.3    21.3    21.3 1
-1982  7 17    21.3    20.3    20.3 1
-1982  7 18    20.0    19.0    19.0 1
-1982  7 19    21.2    20.2    20.2 1
-1982  7 20    23.1    22.1    22.1 1
-1982  7 21    17.0    16.0    16.0 1
-1982  7 22    16.7    15.7    15.7 1
-1982  7 23    20.1    19.1    19.1 1
-1982  7 24    19.3    18.4    18.4 1
-1982  7 25    22.7    21.8    21.8 1
-1982  7 26    16.1    15.2    15.2 1
-1982  7 27    16.5    15.6    15.6 1
-1982  7 28    17.2    16.3    16.3 1
-1982  7 29    18.2    17.3    17.3 1
-1982  7 30    20.7    19.8    19.8 1
-1982  7 31    22.5    21.6    21.6 1
-1982  8  1    21.8    20.9    20.9 1
-1982  8  2    22.5    21.6    21.6 1
-1982  8  3    24.3    23.4    23.4 1
-1982  8  4    23.7    22.8    22.8 1
-1982  8  5    26.0    25.1    25.1 1
-1982  8  6    22.6    21.8    21.8 1
-1982  8  7    22.6    21.8    21.8 1
-1982  8  8    23.6    22.8    22.8 1
-1982  8  9    21.1    20.3    20.3 1
-1982  8 10    17.6    16.8    16.8 1
-1982  8 11    17.6    16.8    16.8 1
-1982  8 12    19.1    18.3    18.3 1
-1982  8 13    19.4    18.6    18.6 1
-1982  8 14    14.9    14.1    14.1 1
-1982  8 15    13.3    12.5    12.5 1
-1982  8 16    15.0    14.2    14.2 1
-1982  8 17    15.9    15.2    15.2 1
-1982  8 18    16.6    15.9    15.9 1
-1982  8 19    16.3    15.6    15.6 1
-1982  8 20    13.8    13.1    13.1 1
-1982  8 21    13.2    12.5    12.5 1
-1982  8 22    15.5    14.8    14.8 1
-1982  8 23    15.7    15.0    15.0 1
-1982  8 24    15.1    14.5    14.5 1
-1982  8 25    13.9    13.3    13.3 1
-1982  8 26    15.0    14.4    14.4 1
-1982  8 27    14.3    13.7    13.7 1
-1982  8 28    14.9    14.3    14.3 1
-1982  8 29    14.0    13.4    13.4 1
-1982  8 30    14.3    13.8    13.8 1
-1982  8 31    15.9    15.4    15.4 1
-1982  9  1    13.3    12.8    12.8 1
-1982  9  2    12.8    12.3    12.3 1
-1982  9  3    12.2    11.7    11.7 1
-1982  9  4     9.1     8.6     8.6 1
-1982  9  5    10.4     9.9     9.9 1
-1982  9  6     9.8     9.4     9.4 1
-1982  9  7    10.7    10.3    10.3 1
-1982  9  8    12.9    12.5    12.5 1
-1982  9  9    13.7    13.3    13.3 1
-1982  9 10    13.5    13.1    13.1 1
-1982  9 11    14.4    14.0    14.0 1
-1982  9 12    13.2    12.9    12.9 1
-1982  9 13    12.4    12.1    12.1 1
-1982  9 14    11.8    11.5    11.5 1
-1982  9 15    15.2    14.9    14.9 1
-1982  9 16    15.6    15.3    15.3 1
-1982  9 17    14.4    14.1    14.1 1
-1982  9 18    14.7    14.4    14.4 1
-1982  9 19    14.8    14.5    14.5 1
-1982  9 20    13.3    13.0    13.0 1
-1982  9 21    16.6    16.3    16.3 1
-1982  9 22    13.0    12.7    12.7 1
-1982  9 23    10.7    10.4    10.4 1
-1982  9 24    10.3    10.0    10.0 1
-1982  9 25    11.8    11.5    11.5 1
-1982  9 26    12.0    11.7    11.7 1
-1982  9 27    12.5    12.2    12.2 1
-1982  9 28    12.4    12.1    12.1 1
-1982  9 29    10.8    10.5    10.5 1
-1982  9 30    11.4    11.1    11.1 1
-1982 10  1    12.1    11.8    11.8 1
-1982 10  2    11.7    11.4    11.4 1
-1982 10  3    11.9    11.6    11.6 1
-1982 10  4    11.2    10.9    10.9 1
-1982 10  5    11.1    10.8    10.8 1
-1982 10  6    10.9    10.6    10.6 1
-1982 10  7     9.7     9.4     9.4 1
-1982 10  8     8.9     8.6     8.6 1
-1982 10  9     9.0     8.7     8.7 1
-1982 10 10     5.7     5.5     5.5 1
-1982 10 11     5.6     5.4     5.4 1
-1982 10 12     6.0     5.8     5.8 1
-1982 10 13     7.9     7.7     7.7 1
-1982 10 14     9.0     8.8     8.8 1
-1982 10 15     6.6     6.4     6.4 1
-1982 10 16     4.5     4.3     4.3 1
-1982 10 17     2.1     1.8     1.8 1
-1982 10 18     2.4     2.1     2.1 1
-1982 10 19     3.0     2.7     2.7 1
-1982 10 20     8.2     7.9     7.9 1
-1982 10 21     8.5     8.2     8.2 1
-1982 10 22     7.4     7.1     7.1 1
-1982 10 23     9.8     9.5     9.5 1
-1982 10 24     9.3     9.0     9.0 1
-1982 10 25     7.4     7.1     7.1 1
-1982 10 26     6.9     6.6     6.6 1
-1982 10 27     6.4     6.1     6.1 1
-1982 10 28     7.1     6.8     6.8 1
-1982 10 29     6.5     6.2     6.2 1
-1982 10 30     7.2     6.8     6.8 1
-1982 10 31     9.1     8.7     8.7 1
-1982 11  1     8.1     7.7     7.7 1
-1982 11  2     9.3     8.9     8.9 1
-1982 11  3     7.0     6.6     6.6 1
-1982 11  4     2.8     2.4     2.4 1
-1982 11  5    -0.4    -0.8    -0.8 1
-1982 11  6     0.0    -0.4    -0.4 1
-1982 11  7     1.7     1.3     1.3 1
-1982 11  8     4.6     4.2     4.2 1
-1982 11  9     7.7     7.3     7.3 1
-1982 11 10     9.9     9.5     9.5 1
-1982 11 11     9.4     9.0     9.0 1
-1982 11 12     8.1     7.7     7.7 1
-1982 11 13     8.1     7.6     7.6 1
-1982 11 14     4.8     4.3     4.3 1
-1982 11 15     3.3     2.8     2.8 1
-1982 11 16     4.2     3.7     3.7 1
-1982 11 17     3.3     2.8     2.8 1
-1982 11 18     1.8     1.3     1.3 1
-1982 11 19     4.9     4.4     4.4 1
-1982 11 20     4.9     4.4     4.4 1
-1982 11 21     0.9     0.4     0.4 1
-1982 11 22     5.2     4.7     4.7 1
-1982 11 23     6.9     6.4     6.4 1
-1982 11 24     7.3     6.8     6.8 1
-1982 11 25     5.1     4.6     4.6 1
-1982 11 26     6.1     5.6     5.6 1
-1982 11 27     5.8     5.3     5.3 1
-1982 11 28     4.7     4.2     4.2 1
-1982 11 29     2.5     2.0     2.0 1
-1982 11 30     1.1     0.6     0.6 1
-1982 12  1     4.2     3.7     3.7 1
-1982 12  2     2.1     1.6     1.6 1
-1982 12  3     0.9     0.4     0.4 1
-1982 12  4     0.9     0.4     0.4 1
-1982 12  5     1.3     0.7     0.7 1
-1982 12  6     3.6     3.0     3.0 1
-1982 12  7    -0.3    -0.9    -0.9 1
-1982 12  8    -2.3    -2.9    -2.9 1
-1982 12  9     1.8     1.2     1.2 1
-1982 12 10     3.4     2.8     2.8 1
-1982 12 11     4.3     3.7     3.7 1
-1982 12 12    -0.8    -1.4    -1.4 1
-1982 12 13    -4.1    -4.7    -4.7 1
-1982 12 14    -3.8    -4.4    -4.4 1
-1982 12 15     0.6     0.0     0.0 1
-1982 12 16     1.9     1.3     1.3 1
-1982 12 17    -2.1    -2.7    -2.7 1
-1982 12 18    -2.1    -2.7    -2.7 1
-1982 12 19     0.6     0.0     0.0 1
-1982 12 20     1.4     0.8     0.8 1
-1982 12 21     3.0     2.4     2.4 1
-1982 12 22     3.7     3.1     3.1 1
-1982 12 23     1.3     0.7     0.7 1
-1982 12 24     1.5     0.9     0.9 1
-1982 12 25     1.8     1.1     1.1 1
-1982 12 26     4.3     3.6     3.6 1
-1982 12 27     2.2     1.5     1.5 1
-1982 12 28     0.9     0.2     0.2 1
-1982 12 29    -1.0    -1.7    -1.7 1
-1982 12 30    -2.9    -3.6    -3.6 1
-1982 12 31     2.8     2.1     2.1 1
-1983  1  1     3.6     2.9     2.9 1
-1983  1  2     2.7     2.0     2.0 1
-1983  1  3    -0.7    -1.4    -1.4 1
-1983  1  4     2.7     2.0     2.0 1
-1983  1  5     1.5     0.8     0.8 1
-1983  1  6     7.1     6.4     6.4 1
-1983  1  7     4.0     3.3     3.3 1
-1983  1  8     3.0     2.3     2.3 1
-1983  1  9     2.4     1.7     1.7 1
-1983  1 10     3.1     2.4     2.4 1
-1983  1 11     4.0     3.2     3.2 1
-1983  1 12     7.1     6.3     6.3 1
-1983  1 13     6.1     5.3     5.3 1
-1983  1 14     0.3    -0.5    -0.5 1
-1983  1 15    -4.3    -5.1    -5.1 1
-1983  1 16    -2.9    -3.7    -3.7 1
-1983  1 17    -4.3    -5.1    -5.1 1
-1983  1 18     0.1    -0.7    -0.7 1
-1983  1 19    -6.3    -7.1    -7.1 1
-1983  1 20    -4.9    -5.7    -5.7 1
-1983  1 21     3.3     2.5     2.5 1
-1983  1 22    -0.6    -1.4    -1.4 1
-1983  1 23     2.6     1.8     1.8 1
-1983  1 24     1.1     0.3     0.3 1
-1983  1 25     3.1     2.3     2.3 1
-1983  1 26     5.3     4.5     4.5 1
-1983  1 27     6.2     5.4     5.4 1
-1983  1 28     3.1     2.3     2.3 1
-1983  1 29    -0.2    -1.0    -1.0 1
-1983  1 30    -0.2    -1.0    -1.0 1
-1983  1 31    -3.4    -4.2    -4.2 1
-1983  2  1    -1.8    -2.6    -2.6 1
-1983  2  2    -6.4    -7.2    -7.2 1
-1983  2  3    -7.8    -8.6    -8.6 1
-1983  2  4    -4.2    -5.0    -5.0 1
-1983  2  5    -1.7    -2.5    -2.5 1
-1983  2  6    -2.4    -3.2    -3.2 1
-1983  2  7    -4.7    -5.5    -5.5 1
-1983  2  8    -7.8    -8.6    -8.6 1
-1983  2  9    -6.0    -6.8    -6.8 1
-1983  2 10    -4.3    -5.1    -5.1 1
-1983  2 11    -2.7    -3.5    -3.5 1
-1983  2 12    -7.7    -8.5    -8.5 1
-1983  2 13    -3.9    -4.7    -4.7 1
-1983  2 14    -2.8    -3.6    -3.6 1
-1983  2 15    -2.4    -3.2    -3.2 1
-1983  2 16    -0.8    -1.7    -1.7 1
-1983  2 17    -1.4    -2.3    -2.3 1
-1983  2 18    -1.2    -2.1    -2.1 1
-1983  2 19     0.3    -0.6    -0.6 1
-1983  2 20    -1.9    -2.8    -2.8 1
-1983  2 21    -6.5    -7.4    -7.4 1
-1983  2 22     0.6    -0.3    -0.3 1
-1983  2 23    -0.3    -1.2    -1.2 1
-1983  2 24    -0.6    -1.5    -1.5 1
-1983  2 25    -0.6    -1.5    -1.5 1
-1983  2 26    -1.4    -2.3    -2.3 1
-1983  2 27    -1.2    -2.1    -2.1 1
-1983  2 28    -2.3    -3.2    -3.2 1
-1983  3  1    -3.1    -4.0    -4.0 1
-1983  3  2    -3.3    -4.2    -4.2 1
-1983  3  3    -1.2    -2.1    -2.1 1
-1983  3  4     1.3     0.4     0.4 1
-1983  3  5     2.8     1.9     1.9 1
-1983  3  6    -0.1    -1.0    -1.0 1
-1983  3  7    -0.8    -1.7    -1.7 1
-1983  3  8    -0.9    -1.8    -1.8 1
-1983  3  9     1.0     0.1     0.1 1
-1983  3 10    -0.9    -1.8    -1.8 1
-1983  3 11    -3.2    -4.1    -4.1 1
-1983  3 12    -3.2    -4.1    -4.1 1
-1983  3 13     3.1     2.1     2.1 1
-1983  3 14     2.7     1.7     1.7 1
-1983  3 15     5.8     4.8     4.8 1
-1983  3 16     2.5     1.5     1.5 1
-1983  3 17     3.0     2.1     2.1 1
-1983  3 18     3.3     2.4     2.4 1
-1983  3 19     3.1     2.2     2.2 1
-1983  3 20     1.2     0.3     0.3 1
-1983  3 21     0.4    -0.5    -0.5 1
-1983  3 22     0.7    -0.2    -0.2 1
-1983  3 23    -0.1    -1.0    -1.0 1
-1983  3 24     0.6    -0.3    -0.3 1
-1983  3 25     1.9     1.0     1.0 1
-1983  3 26     1.0     0.1     0.1 1
-1983  3 27     1.7     0.8     0.8 1
-1983  3 28     1.9     1.0     1.0 1
-1983  3 29    -0.8    -1.7    -1.7 1
-1983  3 30     1.5     0.6     0.6 1
-1983  3 31     2.5     1.6     1.6 1
-1983  4  1     3.7     2.8     2.8 1
-1983  4  2     1.1     0.2     0.2 1
-1983  4  3     1.9     1.0     1.0 1
-1983  4  4     2.9     2.0     2.0 1
-1983  4  5     1.0     0.1     0.1 1
-1983  4  6     2.4     1.6     1.6 1
-1983  4  7     2.9     2.1     2.1 1
-1983  4  8     3.9     3.1     3.1 1
-1983  4  9     3.0     2.2     2.2 1
-1983  4 10     5.4     4.6     4.6 1
-1983  4 11     3.7     2.9     2.9 1
-1983  4 12     0.6    -0.2    -0.2 1
-1983  4 13     0.5    -0.3    -0.3 1
-1983  4 14     1.9     1.1     1.1 1
-1983  4 15     2.6     1.8     1.8 1
-1983  4 16     7.4     6.6     6.6 1
-1983  4 17     5.6     4.8     4.8 1
-1983  4 18     7.8     6.9     6.9 1
-1983  4 19     6.7     5.8     5.8 1
-1983  4 20     7.2     6.3     6.3 1
-1983  4 21     9.9     9.0     9.0 1
-1983  4 22     5.8     4.9     4.9 1
-1983  4 23     7.9     6.9     6.9 1
-1983  4 24     8.8     7.8     7.8 1
-1983  4 25     9.8     8.8     8.8 1
-1983  4 26     8.0     7.0     7.0 1
-1983  4 27     9.4     8.4     8.4 1
-1983  4 28     4.1     3.1     3.1 1
-1983  4 29     7.3     6.2     6.2 1
-1983  4 30     5.0     3.9     3.9 1
-1983  5  1     4.5     3.4     3.4 1
-1983  5  2     6.4     5.3     5.3 1
-1983  5  3     6.2     5.1     5.1 1
-1983  5  4     6.3     5.1     5.1 1
-1983  5  5     7.7     6.5     6.5 1
-1983  5  6     9.8     8.6     8.6 1
-1983  5  7    11.3    10.1    10.1 1
-1983  5  8    11.1     9.9     9.9 1
-1983  5  9    10.6     9.3     9.3 1
-1983  5 10    10.8     9.5     9.5 1
-1983  5 11     9.1     7.8     7.8 1
-1983  5 12    10.0     8.7     8.7 1
-1983  5 13    11.1     9.8     9.8 1
-1983  5 14    13.2    11.8    11.8 1
-1983  5 15    12.8    11.4    11.4 1
-1983  5 16    12.4    11.0    11.0 1
-1983  5 17    16.1    14.7    14.7 1
-1983  5 18    15.8    14.5    14.5 1
-1983  5 19    14.8    13.5    13.5 1
-1983  5 20    11.5    10.2    10.2 1
-1983  5 21    14.4    13.1    13.1 1
-1983  5 22    13.7    12.4    12.4 1
-1983  5 23    13.5    12.2    12.2 1
-1983  5 24    14.6    13.3    13.3 1
-1983  5 25    13.5    12.2    12.2 1
-1983  5 26    10.1     8.8     8.8 1
-1983  5 27    12.7    11.4    11.4 1
-1983  5 28    13.2    11.9    11.9 1
-1983  5 29    14.3    13.1    13.1 1
-1983  5 30    12.1    10.9    10.9 1
-1983  5 31    11.9    10.7    10.7 1
-1983  6  1    14.5    13.3    13.3 1
-1983  6  2    12.8    11.6    11.6 1
-1983  6  3    14.1    12.9    12.9 1
-1983  6  4    11.9    10.7    10.7 1
-1983  6  5     7.8     6.6     6.6 1
-1983  6  6    10.8     9.6     9.6 1
-1983  6  7    14.4    13.2    13.2 1
-1983  6  8    16.7    15.5    15.5 1
-1983  6  9    15.2    14.1    14.1 1
-1983  6 10    11.7    10.6    10.6 1
-1983  6 11    14.6    13.5    13.5 1
-1983  6 12    17.1    16.0    16.0 1
-1983  6 13    18.5    17.4    17.4 1
-1983  6 14    18.7    17.6    17.6 1
-1983  6 15    16.8    15.7    15.7 1
-1983  6 16    16.8    15.7    15.7 1
-1983  6 17    13.0    11.9    11.9 1
-1983  6 18    17.4    16.3    16.3 1
-1983  6 19    18.8    17.7    17.7 1
-1983  6 20    18.2    17.1    17.1 1
-1983  6 21    13.4    12.3    12.3 1
-1983  6 22    15.3    14.2    14.2 1
-1983  6 23    19.0    17.9    17.9 1
-1983  6 24    17.9    16.8    16.8 1
-1983  6 25    12.9    11.8    11.8 1
-1983  6 26    16.0    14.9    14.9 1
-1983  6 27    15.7    14.6    14.6 1
-1983  6 28    13.6    12.5    12.5 1
-1983  6 29    15.3    14.2    14.2 1
-1983  6 30    14.0    13.0    13.0 1
-1983  7  1    15.2    14.2    14.2 1
-1983  7  2    15.3    14.3    14.3 1
-1983  7  3    16.4    15.4    15.4 1
-1983  7  4    14.7    13.7    13.7 1
-1983  7  5    17.7    16.7    16.7 1
-1983  7  6    19.8    18.8    18.8 1
-1983  7  7    21.3    20.3    20.3 1
-1983  7  8    23.2    22.2    22.2 1
-1983  7  9    25.6    24.6    24.6 1
-1983  7 10    26.2    25.2    25.2 1
-1983  7 11    27.6    26.6    26.6 1
-1983  7 12    25.7    24.7    24.7 1
-1983  7 13    17.7    16.7    16.7 1
-1983  7 14    18.4    17.4    17.4 1
-1983  7 15    19.6    18.6    18.6 1
-1983  7 16    16.8    15.8    15.8 1
-1983  7 17    16.9    15.9    15.9 1
-1983  7 18    17.7    16.7    16.7 1
-1983  7 19    17.8    16.8    16.8 1
-1983  7 20    13.9    12.9    12.9 1
-1983  7 21    13.4    12.4    12.4 1
-1983  7 22    16.6    15.6    15.6 1
-1983  7 23    19.8    18.8    18.8 1
-1983  7 24    18.3    17.4    17.4 1
-1983  7 25    21.1    20.2    20.2 1
-1983  7 26    20.7    19.8    19.8 1
-1983  7 27    21.7    20.8    20.8 1
-1983  7 28    19.3    18.4    18.4 1
-1983  7 29    16.0    15.1    15.1 1
-1983  7 30    16.1    15.2    15.2 1
-1983  7 31    18.8    17.9    17.9 1
-1983  8  1    19.6    18.7    18.7 1
-1983  8  2    19.9    19.0    19.0 1
-1983  8  3    19.0    18.1    18.1 1
-1983  8  4    18.3    17.4    17.4 1
-1983  8  5    17.8    16.9    16.9 1
-1983  8  6    18.8    18.0    18.0 1
-1983  8  7    19.6    18.8    18.8 1
-1983  8  8    23.2    22.4    22.4 1
-1983  8  9    24.5    23.7    23.7 1
-1983  8 10    24.3    23.5    23.5 1
-1983  8 11    23.2    22.4    22.4 1
-1983  8 12    14.8    14.0    14.0 1
-1983  8 13    12.7    11.9    11.9 1
-1983  8 14    13.3    12.5    12.5 1
-1983  8 15    17.9    17.1    17.1 1
-1983  8 16    18.9    18.1    18.1 1
-1983  8 17    16.9    16.2    16.2 1
-1983  8 18    14.8    14.1    14.1 1
-1983  8 19    18.2    17.5    17.5 1
-1983  8 20    19.7    19.0    19.0 1
-1983  8 21    21.0    20.3    20.3 1
-1983  8 22    20.9    20.2    20.2 1
-1983  8 23    20.9    20.2    20.2 1
-1983  8 24    14.2    13.6    13.6 1
-1983  8 25    14.8    14.2    14.2 1
-1983  8 26    19.3    18.7    18.7 1
-1983  8 27    18.3    17.7    17.7 1
-1983  8 28    16.8    16.2    16.2 1
-1983  8 29    16.0    15.4    15.4 1
-1983  8 30    17.4    16.9    16.9 1
-1983  8 31    18.7    18.2    18.2 1
-1983  9  1    18.0    17.5    17.5 1
-1983  9  2    20.1    19.6    19.6 1
-1983  9  3    18.6    18.1    18.1 1
-1983  9  4    17.4    16.9    16.9 1
-1983  9  5    13.7    13.2    13.2 1
-1983  9  6    13.1    12.7    12.7 1
-1983  9  7     9.2     8.8     8.8 1
-1983  9  8    11.1    10.7    10.7 1
-1983  9  9    10.6    10.2    10.2 1
-1983  9 10    12.7    12.3    12.3 1
-1983  9 11    14.2    13.8    13.8 1
-1983  9 12    14.4    14.1    14.1 1
-1983  9 13    13.7    13.4    13.4 1
-1983  9 14    14.0    13.7    13.7 1
-1983  9 15    13.4    13.1    13.1 1
-1983  9 16    15.7    15.4    15.4 1
-1983  9 17    13.4    13.1    13.1 1
-1983  9 18    13.5    13.2    13.2 1
-1983  9 19    14.5    14.2    14.2 1
-1983  9 20    13.3    13.0    13.0 1
-1983  9 21    11.4    11.1    11.1 1
-1983  9 22    10.4    10.1    10.1 1
-1983  9 23    10.5    10.2    10.2 1
-1983  9 24    10.3    10.0    10.0 1
-1983  9 25     6.9     6.6     6.6 1
-1983  9 26    12.4    12.1    12.1 1
-1983  9 27    15.0    14.7    14.7 1
-1983  9 28     9.1     8.8     8.8 1
-1983  9 29     7.1     6.8     6.8 1
-1983  9 30     4.9     4.6     4.6 1
-1983 10  1     5.7     5.4     5.4 1
-1983 10  2     6.9     6.6     6.6 1
-1983 10  3     8.8     8.5     8.5 1
-1983 10  4    12.1    11.8    11.8 1
-1983 10  5    13.8    13.5    13.5 1
-1983 10  6     8.4     8.1     8.1 1
-1983 10  7     6.9     6.6     6.6 1
-1983 10  8     6.9     6.6     6.6 1
-1983 10  9     3.9     3.6     3.6 1
-1983 10 10     6.4     6.2     6.2 1
-1983 10 11     7.9     7.7     7.7 1
-1983 10 12     6.6     6.4     6.4 1
-1983 10 13     8.3     8.1     8.1 1
-1983 10 14    11.3    11.1    11.1 1
-1983 10 15     9.6     9.4     9.4 1
-1983 10 16    10.2    10.0    10.0 1
-1983 10 17     9.1     8.8     8.8 1
-1983 10 18     9.1     8.8     8.8 1
-1983 10 19     9.7     9.4     9.4 1
-1983 10 20     6.5     6.2     6.2 1
-1983 10 21     5.6     5.3     5.3 1
-1983 10 22     6.9     6.6     6.6 1
-1983 10 23     7.9     7.6     7.6 1
-1983 10 24     5.3     5.0     5.0 1
-1983 10 25     2.2     1.9     1.9 1
-1983 10 26    11.7    11.4    11.4 1
-1983 10 27    11.0    10.7    10.7 1
-1983 10 28     5.2     4.9     4.9 1
-1983 10 29     2.5     2.2     2.2 1
-1983 10 30     7.3     6.9     6.9 1
-1983 10 31     8.4     8.0     8.0 1
-1983 11  1     6.9     6.5     6.5 1
-1983 11  2     7.6     7.2     7.2 1
-1983 11  3     4.8     4.4     4.4 1
-1983 11  4     6.3     5.9     5.9 1
-1983 11  5     7.0     6.6     6.6 1
-1983 11  6     8.8     8.4     8.4 1
-1983 11  7     8.8     8.4     8.4 1
-1983 11  8     7.3     6.9     6.9 1
-1983 11  9     5.1     4.7     4.7 1
-1983 11 10     2.3     1.9     1.9 1
-1983 11 11    -0.2    -0.6    -0.6 1
-1983 11 12    -1.6    -2.0    -2.0 1
-1983 11 13    -3.3    -3.8    -3.8 1
-1983 11 14     1.5     1.0     1.0 1
-1983 11 15     2.1     1.6     1.6 1
-1983 11 16    -0.5    -1.0    -1.0 1
-1983 11 17    -2.9    -3.4    -3.4 1
-1983 11 18     2.3     1.8     1.8 1
-1983 11 19     2.2     1.7     1.7 1
-1983 11 20     4.2     3.7     3.7 1
-1983 11 21    -2.0    -2.5    -2.5 1
-1983 11 22    -6.0    -6.5    -6.5 1
-1983 11 23    -4.3    -4.8    -4.8 1
-1983 11 24    -0.3    -0.8    -0.8 1
-1983 11 25     4.4     3.9     3.9 1
-1983 11 26     3.8     3.3     3.3 1
-1983 11 27    -0.8    -1.3    -1.3 1
-1983 11 28    -2.7    -3.2    -3.2 1
-1983 11 29    -5.1    -5.6    -5.6 1
-1983 11 30    -6.0    -6.5    -6.5 1
-1983 12  1    -7.4    -7.9    -7.9 1
-1983 12  2    -2.5    -3.0    -3.0 1
-1983 12  3     2.2     1.7     1.7 1
-1983 12  4     2.7     2.2     2.2 1
-1983 12  5     6.2     5.6     5.6 1
-1983 12  6     1.3     0.7     0.7 1
-1983 12  7    -2.0    -2.6    -2.6 1
-1983 12  8     0.9     0.3     0.3 1
-1983 12  9     0.4    -0.2    -0.2 1
-1983 12 10    -8.7    -9.3    -9.3 1
-1983 12 11    -9.9   -10.5   -10.5 1
-1983 12 12    -6.7    -7.3    -7.3 1
-1983 12 13    -0.5    -1.1    -1.1 1
-1983 12 14     0.2    -0.4    -0.4 1
-1983 12 15    -0.5    -1.1    -1.1 1
-1983 12 16    -0.3    -0.9    -0.9 1
-1983 12 17    -0.4    -1.0    -1.0 1
-1983 12 18    -3.6    -4.2    -4.2 1
-1983 12 19    -0.2    -0.8    -0.8 1
-1983 12 20     1.1     0.5     0.5 1
-1983 12 21     0.8     0.2     0.2 1
-1983 12 22     2.4     1.8     1.8 1
-1983 12 23     2.9     2.3     2.3 1
-1983 12 24     0.0    -0.6    -0.6 1
-1983 12 25    -3.0    -3.7    -3.7 1
-1983 12 26     1.3     0.6     0.6 1
-1983 12 27    -1.0    -1.7    -1.7 1
-1983 12 28     4.0     3.3     3.3 1
-1983 12 29     2.4     1.7     1.7 1
-1983 12 30     2.6     1.9     1.9 1
-1983 12 31     0.2    -0.5    -0.5 1
-1984  1  1     5.6     4.9     4.9 1
-1984  1  2     2.3     1.6     1.6 1
-1984  1  3     1.9     1.2     1.2 1
-1984  1  4    -0.9    -1.6    -1.6 1
-1984  1  5    -3.1    -3.8    -3.8 1
-1984  1  6     0.6    -0.1    -0.1 1
-1984  1  7     1.2     0.5     0.5 1
-1984  1  8     0.0    -0.7    -0.7 1
-1984  1  9    -5.2    -5.9    -5.9 1
-1984  1 10    -8.7    -9.4    -9.4 1
-1984  1 11     0.0    -0.8    -0.8 1
-1984  1 12     3.3     2.5     2.5 1
-1984  1 13     1.6     0.8     0.8 1
-1984  1 14     1.7     0.9     0.9 1
-1984  1 15    -1.8    -2.6    -2.6 1
-1984  1 16    -0.4    -1.2    -1.2 1
-1984  1 17     0.8     0.0     0.0 1
-1984  1 18    -0.8    -1.6    -1.6 1
-1984  1 19    -5.7    -6.5    -6.5 1
-1984  1 20    -8.5    -9.3    -9.3 1
-1984  1 21    -7.8    -8.6    -8.6 1
-1984  1 22    -5.6    -6.4    -6.4 1
-1984  1 23    -7.5    -8.3    -8.3 1
-1984  1 24    -8.9    -9.7    -9.7 1
-1984  1 25    -5.8    -6.6    -6.6 1
-1984  1 26    -8.6    -9.4    -9.4 1
-1984  1 27    -8.7    -9.5    -9.5 1
-1984  1 28    -0.5    -1.3    -1.3 1
-1984  1 29    -0.4    -1.2    -1.2 1
-1984  1 30     0.2    -0.6    -0.6 1
-1984  1 31     0.4    -0.4    -0.4 1
-1984  2  1     0.9     0.1     0.1 1
-1984  2  2     0.7    -0.1    -0.1 1
-1984  2  3     0.9     0.1     0.1 1
-1984  2  4     1.9     1.1     1.1 1
-1984  2  5     1.5     0.7     0.7 1
-1984  2  6     1.1     0.3     0.3 1
-1984  2  7     0.6    -0.2    -0.2 1
-1984  2  8    -1.0    -1.8    -1.8 1
-1984  2  9    -4.5    -5.3    -5.3 1
-1984  2 10    -3.6    -4.4    -4.4 1
-1984  2 11    -0.7    -1.5    -1.5 1
-1984  2 12    -0.3    -1.1    -1.1 1
-1984  2 13     0.5    -0.3    -0.3 1
-1984  2 14    -0.1    -0.9    -0.9 1
-1984  2 15    -0.3    -1.1    -1.1 1
-1984  2 16    -1.3    -2.2    -2.2 1
-1984  2 17    -1.9    -2.8    -2.8 1
-1984  2 18    -3.3    -4.2    -4.2 1
-1984  2 19    -3.5    -4.4    -4.4 1
-1984  2 20    -3.0    -3.9    -3.9 1
-1984  2 21    -1.8    -2.7    -2.7 1
-1984  2 22    -2.8    -3.7    -3.7 1
-1984  2 23    -1.3    -2.2    -2.2 1
-1984  2 24    -1.7    -2.6    -2.6 1
-1984  2 25    -1.1    -2.0    -2.0 1
-1984  2 26    -1.2    -2.1    -2.1 1
-1984  2 27    -0.3    -1.2    -1.2 1
-1984  2 28    -0.8    -1.7    -1.7 1
-1984  2 29     0.7    -0.2    -0.2 1
-1984  3  1     0.9     0.0     0.0 1
-1984  3  2    -2.4    -3.3    -3.3 1
-1984  3  3     0.0    -0.9    -0.9 1
-1984  3  4     0.5    -0.4    -0.4 1
-1984  3  5     3.4     2.5     2.5 1
-1984  3  6     2.7     1.8     1.8 1
-1984  3  7     0.4    -0.5    -0.5 1
-1984  3  8    -0.9    -1.8    -1.8 1
-1984  3  9    -0.8    -1.7    -1.7 1
-1984  3 10    -1.0    -1.9    -1.9 1
-1984  3 11    -0.1    -1.0    -1.0 1
-1984  3 12     0.9     0.0     0.0 1
-1984  3 13    -1.9    -2.9    -2.9 1
-1984  3 14    -1.9    -2.9    -2.9 1
-1984  3 15    -0.6    -1.6    -1.6 1
-1984  3 16    -2.7    -3.7    -3.7 1
-1984  3 17    -4.6    -5.5    -5.5 1
-1984  3 18    -5.5    -6.4    -6.4 1
-1984  3 19    -2.3    -3.2    -3.2 1
-1984  3 20    -1.2    -2.1    -2.1 1
-1984  3 21    -1.9    -2.8    -2.8 1
-1984  3 22    -2.7    -3.6    -3.6 1
-1984  3 23    -5.6    -6.5    -6.5 1
-1984  3 24    -5.9    -6.8    -6.8 1
-1984  3 25    -1.9    -2.8    -2.8 1
-1984  3 26    -1.8    -2.7    -2.7 1
-1984  3 27    -1.0    -1.9    -1.9 1
-1984  3 28    -1.5    -2.4    -2.4 1
-1984  3 29     0.7    -0.2    -0.2 1
-1984  3 30     4.1     3.2     3.2 1
-1984  3 31     0.8    -0.1    -0.1 1
-1984  4  1    -0.8    -1.7    -1.7 1
-1984  4  2    -0.7    -1.6    -1.6 1
-1984  4  3     1.4     0.5     0.5 1
-1984  4  4     1.9     1.0     1.0 1
-1984  4  5     4.4     3.5     3.5 1
-1984  4  6     3.9     3.1     3.1 1
-1984  4  7     5.1     4.3     4.3 1
-1984  4  8     7.1     6.3     6.3 1
-1984  4  9     6.2     5.4     5.4 1
-1984  4 10     5.6     4.8     4.8 1
-1984  4 11     6.2     5.4     5.4 1
-1984  4 12     4.4     3.6     3.6 1
-1984  4 13     6.3     5.5     5.5 1
-1984  4 14     8.7     7.9     7.9 1
-1984  4 15     9.2     8.4     8.4 1
-1984  4 16     8.8     8.0     8.0 1
-1984  4 17     6.5     5.7     5.7 1
-1984  4 18     5.5     4.6     4.6 1
-1984  4 19     5.7     4.8     4.8 1
-1984  4 20     5.6     4.7     4.7 1
-1984  4 21     5.0     4.1     4.1 1
-1984  4 22     9.1     8.2     8.2 1
-1984  4 23     8.7     7.7     7.7 1
-1984  4 24    10.8     9.8     9.8 1
-1984  4 25    11.0    10.0    10.0 1
-1984  4 26     4.5     3.5     3.5 1
-1984  4 27     3.7     2.7     2.7 1
-1984  4 28     6.9     5.9     5.9 1
-1984  4 29    13.1    12.0    12.0 1
-1984  4 30    13.4    12.3    12.3 1
-1984  5  1    11.7    10.6    10.6 1
-1984  5  2    11.1    10.0    10.0 1
-1984  5  3    11.3    10.2    10.2 1
-1984  5  4    11.4    10.2    10.2 1
-1984  5  5    12.5    11.3    11.3 1
-1984  5  6    10.6     9.4     9.4 1
-1984  5  7     7.6     6.4     6.4 1
-1984  5  8     6.1     4.9     4.9 1
-1984  5  9     4.5     3.2     3.2 1
-1984  5 10     3.4     2.1     2.1 1
-1984  5 11     7.2     5.9     5.9 1
-1984  5 12     9.4     8.1     8.1 1
-1984  5 13    11.1     9.8     9.8 1
-1984  5 14    11.4    10.0    10.0 1
-1984  5 15    11.6    10.2    10.2 1
-1984  5 16    12.7    11.3    11.3 1
-1984  5 17    15.2    13.8    13.8 1
-1984  5 18    17.3    16.0    16.0 1
-1984  5 19    15.5    14.2    14.2 1
-1984  5 20    15.8    14.5    14.5 1
-1984  5 21    15.9    14.6    14.6 1
-1984  5 22    17.6    16.3    16.3 1
-1984  5 23    13.1    11.8    11.8 1
-1984  5 24    13.6    12.3    12.3 1
-1984  5 25    14.4    13.1    13.1 1
-1984  5 26    15.0    13.7    13.7 1
-1984  5 27    13.8    12.5    12.5 1
-1984  5 28    11.9    10.6    10.6 1
-1984  5 29    13.5    12.3    12.3 1
-1984  5 30    14.3    13.1    13.1 1
-1984  5 31    15.6    14.4    14.4 1
-1984  6  1    16.9    15.7    15.7 1
-1984  6  2    16.8    15.6    15.6 1
-1984  6  3    18.2    17.0    17.0 1
-1984  6  4    19.7    18.5    18.5 1
-1984  6  5    18.8    17.6    17.6 1
-1984  6  6    16.6    15.4    15.4 1
-1984  6  7    16.8    15.6    15.6 1
-1984  6  8    14.4    13.2    13.2 1
-1984  6  9     9.9     8.8     8.8 1
-1984  6 10     8.6     7.5     7.5 1
-1984  6 11     9.6     8.5     8.5 1
-1984  6 12    14.5    13.4    13.4 1
-1984  6 13    11.9    10.8    10.8 1
-1984  6 14    13.9    12.8    12.8 1
-1984  6 15    12.2    11.1    11.1 1
-1984  6 16    14.0    12.9    12.9 1
-1984  6 17    15.9    14.8    14.8 1
-1984  6 18    17.0    15.9    15.9 1
-1984  6 19    15.7    14.6    14.6 1
-1984  6 20    17.9    16.8    16.8 1
-1984  6 21    17.6    16.5    16.5 1
-1984  6 22    15.4    14.3    14.3 1
-1984  6 23    12.6    11.5    11.5 1
-1984  6 24    11.8    10.7    10.7 1
-1984  6 25    11.2    10.1    10.1 1
-1984  6 26    12.5    11.4    11.4 1
-1984  6 27    14.3    13.2    13.2 1
-1984  6 28    11.8    10.7    10.7 1
-1984  6 29    14.0    12.9    12.9 1
-1984  6 30    12.8    11.8    11.8 1
-1984  7  1    14.1    13.1    13.1 1
-1984  7  2    13.6    12.6    12.6 1
-1984  7  3    13.0    12.0    12.0 1
-1984  7  4    14.9    13.9    13.9 1
-1984  7  5    13.2    12.2    12.2 1
-1984  7  6    13.8    12.8    12.8 1
-1984  7  7    17.1    16.1    16.1 1
-1984  7  8    16.5    15.5    15.5 1
-1984  7  9    20.2    19.2    19.2 1
-1984  7 10    21.0    20.0    20.0 1
-1984  7 11    19.5    18.5    18.5 1
-1984  7 12    19.4    18.4    18.4 1
-1984  7 13    17.8    16.8    16.8 1
-1984  7 14    16.6    15.6    15.6 1
-1984  7 15    17.4    16.4    16.4 1
-1984  7 16    16.9    15.9    15.9 1
-1984  7 17    16.5    15.5    15.5 1
-1984  7 18    15.4    14.4    14.4 1
-1984  7 19    15.0    14.0    14.0 1
-1984  7 20    17.1    16.1    16.1 1
-1984  7 21    16.0    15.0    15.0 1
-1984  7 22    14.7    13.7    13.7 1
-1984  7 23    13.5    12.5    12.5 1
-1984  7 24    15.6    14.7    14.7 1
-1984  7 25    16.4    15.5    15.5 1
-1984  7 26    15.1    14.2    14.2 1
-1984  7 27    11.4    10.5    10.5 1
-1984  7 28    16.2    15.3    15.3 1
-1984  7 29    17.9    17.0    17.0 1
-1984  7 30    18.2    17.3    17.3 1
-1984  7 31    19.8    18.9    18.9 1
-1984  8  1    20.6    19.7    19.7 1
-1984  8  2    20.9    20.0    20.0 1
-1984  8  3    20.2    19.3    19.3 1
-1984  8  4    20.2    19.3    19.3 1
-1984  8  5    19.6    18.7    18.7 1
-1984  8  6    20.7    19.9    19.9 1
-1984  8  7    19.6    18.8    18.8 1
-1984  8  8    18.4    17.6    17.6 1
-1984  8  9    16.9    16.1    16.1 1
-1984  8 10    17.8    17.0    17.0 1
-1984  8 11    15.8    15.0    15.0 1
-1984  8 12    16.6    15.8    15.8 1
-1984  8 13    16.6    15.8    15.8 1
-1984  8 14    16.0    15.2    15.2 1
-1984  8 15    14.5    13.7    13.7 1
-1984  8 16    14.0    13.2    13.2 1
-1984  8 17    14.1    13.4    13.4 1
-1984  8 18    15.2    14.5    14.5 1
-1984  8 19    17.5    16.8    16.8 1
-1984  8 20    18.6    17.9    17.9 1
-1984  8 21    20.0    19.3    19.3 1
-1984  8 22    21.0    20.3    20.3 1
-1984  8 23    19.2    18.5    18.5 1
-1984  8 24    15.9    15.3    15.3 1
-1984  8 25    11.3    10.7    10.7 1
-1984  8 26    11.1    10.5    10.5 1
-1984  8 27    13.5    12.9    12.9 1
-1984  8 28    17.0    16.4    16.4 1
-1984  8 29    16.7    16.1    16.1 1
-1984  8 30    16.4    15.9    15.9 1
-1984  8 31    15.1    14.6    14.6 1
-1984  9  1    13.9    13.4    13.4 1
-1984  9  2    11.4    10.9    10.9 1
-1984  9  3    12.0    11.5    11.5 1
-1984  9  4     9.9     9.4     9.4 1
-1984  9  5     9.8     9.3     9.3 1
-1984  9  6    10.6    10.2    10.2 1
-1984  9  7    15.0    14.6    14.6 1
-1984  9  8    13.9    13.5    13.5 1
-1984  9  9    13.5    13.1    13.1 1
-1984  9 10    11.9    11.5    11.5 1
-1984  9 11    11.6    11.2    11.2 1
-1984  9 12    11.2    10.9    10.9 1
-1984  9 13     9.6     9.3     9.3 1
-1984  9 14    11.1    10.8    10.8 1
-1984  9 15    11.4    11.1    11.1 1
-1984  9 16    11.8    11.5    11.5 1
-1984  9 17    11.0    10.7    10.7 1
-1984  9 18    10.3    10.0    10.0 1
-1984  9 19     9.5     9.2     9.2 1
-1984  9 20    10.0     9.7     9.7 1
-1984  9 21    10.0     9.7     9.7 1
-1984  9 22    12.2    11.9    11.9 1
-1984  9 23    12.1    11.8    11.8 1
-1984  9 24    11.4    11.1    11.1 1
-1984  9 25    10.9    10.6    10.6 1
-1984  9 26    11.4    11.1    11.1 1
-1984  9 27    10.3    10.0    10.0 1
-1984  9 28     7.3     7.0     7.0 1
-1984  9 29     6.1     5.8     5.8 1
-1984  9 30     8.1     7.8     7.8 1
-1984 10  1    11.6    11.3    11.3 1
-1984 10  2    12.3    12.0    12.0 1
-1984 10  3    14.3    14.0    14.0 1
-1984 10  4    13.0    12.7    12.7 1
-1984 10  5    11.5    11.2    11.2 1
-1984 10  6    12.3    12.0    12.0 1
-1984 10  7    11.6    11.3    11.3 1
-1984 10  8     9.1     8.8     8.8 1
-1984 10  9    10.3    10.0    10.0 1
-1984 10 10     9.7     9.5     9.5 1
-1984 10 11    10.1     9.9     9.9 1
-1984 10 12     7.4     7.2     7.2 1
-1984 10 13     5.2     5.0     5.0 1
-1984 10 14     7.0     6.8     6.8 1
-1984 10 15     6.2     6.0     6.0 1
-1984 10 16     5.2     5.0     5.0 1
-1984 10 17    10.9    10.6    10.6 1
-1984 10 18     8.9     8.6     8.6 1
-1984 10 19    10.1     9.8     9.8 1
-1984 10 20    10.5    10.2    10.2 1
-1984 10 21     9.0     8.7     8.7 1
-1984 10 22     5.5     5.2     5.2 1
-1984 10 23     7.6     7.3     7.3 1
-1984 10 24     6.1     5.8     5.8 1
-1984 10 25     7.2     6.9     6.9 1
-1984 10 26     9.3     9.0     9.0 1
-1984 10 27     7.8     7.5     7.5 1
-1984 10 28     6.3     6.0     6.0 1
-1984 10 29     6.3     6.0     6.0 1
-1984 10 30    10.5    10.1    10.1 1
-1984 10 31    11.5    11.1    11.1 1
-1984 11  1     7.9     7.5     7.5 1
-1984 11  2    10.9    10.5    10.5 1
-1984 11  3     7.4     7.0     7.0 1
-1984 11  4     7.0     6.6     6.6 1
-1984 11  5     7.1     6.7     6.7 1
-1984 11  6     6.5     6.1     6.1 1
-1984 11  7     6.8     6.4     6.4 1
-1984 11  8     6.8     6.4     6.4 1
-1984 11  9     5.0     4.6     4.6 1
-1984 11 10     3.5     3.1     3.1 1
-1984 11 11     3.8     3.4     3.4 1
-1984 11 12     5.0     4.6     4.6 1
-1984 11 13     5.2     4.7     4.7 1
-1984 11 14     5.1     4.6     4.6 1
-1984 11 15     3.3     2.8     2.8 1
-1984 11 16     2.3     1.8     1.8 1
-1984 11 17     2.2     1.7     1.7 1
-1984 11 18     2.4     1.9     1.9 1
-1984 11 19     2.8     2.3     2.3 1
-1984 11 20     2.9     2.4     2.4 1
-1984 11 21     2.4     1.9     1.9 1
-1984 11 22     2.9     2.4     2.4 1
-1984 11 23     3.6     3.1     3.1 1
-1984 11 24     4.1     3.6     3.6 1
-1984 11 25     4.8     4.3     4.3 1
-1984 11 26     2.4     1.9     1.9 1
-1984 11 27     0.9     0.4     0.4 1
-1984 11 28     5.0     4.5     4.5 1
-1984 11 29     5.7     5.2     5.2 1
-1984 11 30     5.7     5.2     5.2 1
-1984 12  1     5.0     4.5     4.5 1
-1984 12  2     4.8     4.3     4.3 1
-1984 12  3     4.7     4.2     4.2 1
-1984 12  4     3.6     3.1     3.1 1
-1984 12  5     3.2     2.6     2.6 1
-1984 12  6     3.8     3.2     3.2 1
-1984 12  7     3.8     3.2     3.2 1
-1984 12  8     7.5     6.9     6.9 1
-1984 12  9     4.6     4.0     4.0 1
-1984 12 10     3.0     2.4     2.4 1
-1984 12 11     1.9     1.3     1.3 1
-1984 12 12    -0.3    -0.9    -0.9 1
-1984 12 13     0.5    -0.1    -0.1 1
-1984 12 14    -0.4    -1.0    -1.0 1
-1984 12 15    -1.5    -2.1    -2.1 1
-1984 12 16    -1.2    -1.8    -1.8 1
-1984 12 17    -3.8    -4.4    -4.4 1
-1984 12 18    -2.0    -2.6    -2.6 1
-1984 12 19     1.7     1.1     1.1 1
-1984 12 20     3.1     2.5     2.5 1
-1984 12 21     3.9     3.3     3.3 1
-1984 12 22    -0.1    -0.7    -0.7 1
-1984 12 23     2.3     1.7     1.7 1
-1984 12 24     3.5     2.9     2.9 1
-1984 12 25     2.5     1.8     1.8 1
-1984 12 26    -0.1    -0.8    -0.8 1
-1984 12 27    -0.7    -1.4    -1.4 1
-1984 12 28    -1.5    -2.2    -2.2 1
-1984 12 29    -0.4    -1.1    -1.1 1
-1984 12 30    -3.8    -4.5    -4.5 1
-1984 12 31    -3.0    -3.7    -3.7 1
-1985  1  1    -3.6    -4.3    -4.3 1
-1985  1  2    -5.1    -5.8    -5.8 1
-1985  1  3    -8.0    -8.7    -8.7 1
-1985  1  4   -11.7   -12.4   -12.4 1
-1985  1  5   -15.0   -15.7   -15.7 1
-1985  1  6   -14.2   -14.9   -14.9 1
-1985  1  7   -15.0   -15.7   -15.7 1
-1985  1  8   -14.4   -15.1   -15.1 1
-1985  1  9   -10.9   -11.6   -11.6 1
-1985  1 10    -6.7    -7.4    -7.4 1
-1985  1 11    -7.1    -7.9    -7.9 1
-1985  1 12   -10.1   -10.9   -10.9 1
-1985  1 13    -7.8    -8.6    -8.6 1
-1985  1 14    -6.8    -7.6    -7.6 1
-1985  1 15    -6.5    -7.3    -7.3 1
-1985  1 16    -9.8   -10.6   -10.6 1
-1985  1 17    -7.0    -7.8    -7.8 1
-1985  1 18    -2.2    -3.0    -3.0 1
-1985  1 19    -6.8    -7.6    -7.6 1
-1985  1 20    -6.5    -7.3    -7.3 1
-1985  1 21    -3.2    -4.0    -4.0 1
-1985  1 22    -2.8    -3.6    -3.6 1
-1985  1 23     0.4    -0.4    -0.4 1
-1985  1 24    -9.3   -10.1   -10.1 1
-1985  1 25   -14.8   -15.6   -15.6 1
-1985  1 26   -15.1   -15.9   -15.9 1
-1985  1 27   -14.4   -15.2   -15.2 1
-1985  1 28    -8.8    -9.6    -9.6 1
-1985  1 29    -4.5    -5.3    -5.3 1
-1985  1 30    -3.0    -3.8    -3.8 1
-1985  1 31    -4.4    -5.2    -5.2 1
-1985  2  1    -1.3    -2.1    -2.1 1
-1985  2  2   -13.1   -13.9   -13.9 1
-1985  2  3   -15.5   -16.3   -16.3 1
-1985  2  4   -12.0   -12.8   -12.8 1
-1985  2  5    -7.0    -7.8    -7.8 1
-1985  2  6    -4.6    -5.4    -5.4 1
-1985  2  7   -13.0   -13.8   -13.8 1
-1985  2  8   -16.1   -16.9   -16.9 1
-1985  2  9   -16.7   -17.5   -17.5 1
-1985  2 10   -13.8   -14.6   -14.6 1
-1985  2 11   -12.7   -13.5   -13.5 1
-1985  2 12    -5.1    -5.9    -5.9 1
-1985  2 13    -8.8    -9.6    -9.6 1
-1985  2 14   -13.2   -14.0   -14.0 1
-1985  2 15   -17.5   -18.3   -18.3 1
-1985  2 16   -16.1   -17.0   -17.0 1
-1985  2 17   -17.1   -18.0   -18.0 1
-1985  2 18   -15.8   -16.7   -16.7 1
-1985  2 19   -15.3   -16.2   -16.2 1
-1985  2 20   -13.4   -14.3   -14.3 1
-1985  2 21   -11.7   -12.6   -12.6 1
-1985  2 22   -15.5   -16.4   -16.4 1
-1985  2 23   -12.8   -13.7   -13.7 1
-1985  2 24    -5.0    -5.9    -5.9 1
-1985  2 25    -3.0    -3.9    -3.9 1
-1985  2 26    -3.7    -4.6    -4.6 1
-1985  2 27    -1.4    -2.3    -2.3 1
-1985  2 28    -0.3    -1.2    -1.2 1
-1985  3  1    -1.5    -2.4    -2.4 1
-1985  3  2    -4.3    -5.2    -5.2 1
-1985  3  3    -4.5    -5.4    -5.4 1
-1985  3  4    -5.5    -6.4    -6.4 1
-1985  3  5    -3.1    -4.0    -4.0 1
-1985  3  6     0.5    -0.4    -0.4 1
-1985  3  7    -1.0    -1.9    -1.9 1
-1985  3  8    -3.6    -4.5    -4.5 1
-1985  3  9    -3.6    -4.5    -4.5 1
-1985  3 10    -3.3    -4.2    -4.2 1
-1985  3 11     1.3     0.4     0.4 1
-1985  3 12     2.2     1.3     1.3 1
-1985  3 13     1.9     0.9     0.9 1
-1985  3 14     2.5     1.5     1.5 1
-1985  3 15     0.9    -0.1    -0.1 1
-1985  3 16    -0.7    -1.7    -1.7 1
-1985  3 17    -1.0    -1.9    -1.9 1
-1985  3 18    -3.1    -4.0    -4.0 1
-1985  3 19    -2.1    -3.0    -3.0 1
-1985  3 20    -1.0    -1.9    -1.9 1
-1985  3 21     0.1    -0.8    -0.8 1
-1985  3 22     0.9     0.0     0.0 1
-1985  3 23     1.7     0.8     0.8 1
-1985  3 24     0.4    -0.5    -0.5 1
-1985  3 25     0.8    -0.1    -0.1 1
-1985  3 26     1.0     0.1     0.1 1
-1985  3 27     0.0    -0.9    -0.9 1
-1985  3 28     0.4    -0.5    -0.5 1
-1985  3 29    -2.9    -3.8    -3.8 1
-1985  3 30     0.6    -0.3    -0.3 1
-1985  3 31     1.2     0.3     0.3 1
-1985  4  1     3.0     2.1     2.1 1
-1985  4  2     4.4     3.5     3.5 1
-1985  4  3     3.5     2.6     2.6 1
-1985  4  4     2.3     1.4     1.4 1
-1985  4  5     1.8     0.9     0.9 1
-1985  4  6    -1.2    -2.0    -2.0 1
-1985  4  7    -0.2    -1.0    -1.0 1
-1985  4  8     0.2    -0.6    -0.6 1
-1985  4  9    -1.8    -2.6    -2.6 1
-1985  4 10    -1.9    -2.7    -2.7 1
-1985  4 11     1.4     0.6     0.6 1
-1985  4 12     1.6     0.8     0.8 1
-1985  4 13     2.7     1.9     1.9 1
-1985  4 14     2.3     1.5     1.5 1
-1985  4 15     1.9     1.1     1.1 1
-1985  4 16     4.0     3.2     3.2 1
-1985  4 17     4.8     4.0     4.0 1
-1985  4 18     6.3     5.4     5.4 1
-1985  4 19     7.3     6.4     6.4 1
-1985  4 20     4.1     3.2     3.2 1
-1985  4 21     3.0     2.1     2.1 1
-1985  4 22     6.9     6.0     6.0 1
-1985  4 23     2.3     1.3     1.3 1
-1985  4 24     2.7     1.7     1.7 1
-1985  4 25     0.8    -0.2    -0.2 1
-1985  4 26     1.7     0.7     0.7 1
-1985  4 27     2.2     1.2     1.2 1
-1985  4 28     4.6     3.6     3.6 1
-1985  4 29     3.9     2.8     2.8 1
-1985  4 30     1.6     0.5     0.5 1
-1985  5  1     3.5     2.4     2.4 1
-1985  5  2     4.0     2.9     2.9 1
-1985  5  3     2.5     1.4     1.4 1
-1985  5  4     3.4     2.2     2.2 1
-1985  5  5     3.8     2.6     2.6 1
-1985  5  6     6.7     5.5     5.5 1
-1985  5  7     8.4     7.2     7.2 1
-1985  5  8     9.2     8.0     8.0 1
-1985  5  9     8.1     6.8     6.8 1
-1985  5 10     6.1     4.8     4.8 1
-1985  5 11    10.2     8.9     8.9 1
-1985  5 12    12.2    10.9    10.9 1
-1985  5 13    12.5    11.2    11.2 1
-1985  5 14    14.1    12.7    12.7 1
-1985  5 15    10.8     9.4     9.4 1
-1985  5 16    12.0    10.6    10.6 1
-1985  5 17     8.7     7.3     7.3 1
-1985  5 18    10.4     9.1     9.1 1
-1985  5 19    14.3    13.0    13.0 1
-1985  5 20    11.7    10.4    10.4 1
-1985  5 21     8.9     7.6     7.6 1
-1985  5 22     9.9     8.6     8.6 1
-1985  5 23     6.0     4.7     4.7 1
-1985  5 24     8.5     7.2     7.2 1
-1985  5 25     9.1     7.8     7.8 1
-1985  5 26    16.9    15.6    15.6 1
-1985  5 27    19.0    17.7    17.7 1
-1985  5 28    19.5    18.2    18.2 1
-1985  5 29    19.9    18.7    18.7 1
-1985  5 30    15.6    14.4    14.4 1
-1985  5 31    13.0    11.8    11.8 1
-1985  6  1    15.7    14.5    14.5 1
-1985  6  2    16.7    15.5    15.5 1
-1985  6  3    12.9    11.7    11.7 1
-1985  6  4    15.3    14.1    14.1 1
-1985  6  5    12.6    11.4    11.4 1
-1985  6  6     8.4     7.2     7.2 1
-1985  6  7    10.0     8.8     8.8 1
-1985  6  8    10.1     8.9     8.9 1
-1985  6  9    11.3    10.2    10.2 1
-1985  6 10    12.2    11.1    11.1 1
-1985  6 11    12.3    11.2    11.2 1
-1985  6 12    10.3     9.2     9.2 1
-1985  6 13     9.7     8.6     8.6 1
-1985  6 14    12.7    11.6    11.6 1
-1985  6 15    10.6     9.5     9.5 1
-1985  6 16    13.9    12.8    12.8 1
-1985  6 17    14.9    13.8    13.8 1
-1985  6 18    15.4    14.3    14.3 1
-1985  6 19    18.3    17.2    17.2 1
-1985  6 20    16.3    15.2    15.2 1
-1985  6 21    18.1    17.0    17.0 1
-1985  6 22    19.7    18.6    18.6 1
-1985  6 23    21.1    20.0    20.0 1
-1985  6 24    21.7    20.6    20.6 1
-1985  6 25    21.4    20.3    20.3 1
-1985  6 26    20.7    19.6    19.6 1
-1985  6 27    14.7    13.6    13.6 1
-1985  6 28    15.0    13.9    13.9 1
-1985  6 29    15.0    13.9    13.9 1
-1985  6 30    14.3    13.3    13.3 1
-1985  7  1    13.8    12.8    12.8 1
-1985  7  2    12.7    11.7    11.7 1
-1985  7  3    15.2    14.2    14.2 1
-1985  7  4    18.3    17.3    17.3 1
-1985  7  5    20.4    19.4    19.4 1
-1985  7  6    20.5    19.5    19.5 1
-1985  7  7    18.9    17.9    17.9 1
-1985  7  8    16.8    15.8    15.8 1
-1985  7  9    16.6    15.6    15.6 1
-1985  7 10    18.4    17.4    17.4 1
-1985  7 11    20.0    19.0    19.0 1
-1985  7 12    18.7    17.7    17.7 1
-1985  7 13    19.3    18.3    18.3 1
-1985  7 14    20.0    19.0    19.0 1
-1985  7 15    19.6    18.6    18.6 1
-1985  7 16    17.8    16.8    16.8 1
-1985  7 17    14.7    13.7    13.7 1
-1985  7 18    17.8    16.8    16.8 1
-1985  7 19    16.7    15.7    15.7 1
-1985  7 20    16.3    15.3    15.3 1
-1985  7 21    16.3    15.3    15.3 1
-1985  7 22    15.6    14.6    14.6 1
-1985  7 23    13.1    12.1    12.1 1
-1985  7 24    11.1    10.2    10.2 1
-1985  7 25    15.0    14.1    14.1 1
-1985  7 26    17.7    16.8    16.8 1
-1985  7 27    16.9    16.0    16.0 1
-1985  7 28    16.7    15.8    15.8 1
-1985  7 29    16.4    15.5    15.5 1
-1985  7 30    16.5    15.6    15.6 1
-1985  7 31    16.7    15.8    15.8 1
-1985  8  1    17.4    16.5    16.5 1
-1985  8  2    16.8    15.9    15.9 1
-1985  8  3    14.9    14.0    14.0 1
-1985  8  4    14.5    13.6    13.6 1
-1985  8  5    15.3    14.4    14.4 1
-1985  8  6    15.8    15.0    15.0 1
-1985  8  7    15.7    14.9    14.9 1
-1985  8  8    16.7    15.9    15.9 1
-1985  8  9    17.9    17.1    17.1 1
-1985  8 10    16.2    15.4    15.4 1
-1985  8 11    16.1    15.3    15.3 1
-1985  8 12    16.2    15.4    15.4 1
-1985  8 13    16.7    15.9    15.9 1
-1985  8 14    17.4    16.6    16.6 1
-1985  8 15    18.6    17.8    17.8 1
-1985  8 16    15.5    14.7    14.7 1
-1985  8 17    18.0    17.3    17.3 1
-1985  8 18    17.9    17.2    17.2 1
-1985  8 19    16.6    15.9    15.9 1
-1985  8 20    17.8    17.1    17.1 1
-1985  8 21    16.0    15.3    15.3 1
-1985  8 22    15.3    14.6    14.6 1
-1985  8 23    14.4    13.7    13.7 1
-1985  8 24    13.5    12.9    12.9 1
-1985  8 25    15.9    15.3    15.3 1
-1985  8 26    15.1    14.5    14.5 1
-1985  8 27    15.4    14.8    14.8 1
-1985  8 28    15.8    15.2    15.2 1
-1985  8 29    17.3    16.7    16.7 1
-1985  8 30    15.3    14.8    14.8 1
-1985  8 31    15.7    15.2    15.2 1
-1985  9  1    16.1    15.6    15.6 1
-1985  9  2    12.8    12.3    12.3 1
-1985  9  3    13.4    12.9    12.9 1
-1985  9  4    14.3    13.8    13.8 1
-1985  9  5    12.8    12.3    12.3 1
-1985  9  6    10.7    10.3    10.3 1
-1985  9  7    11.3    10.9    10.9 1
-1985  9  8    10.0     9.6     9.6 1
-1985  9  9    12.1    11.7    11.7 1
-1985  9 10    11.5    11.1    11.1 1
-1985  9 11    10.7    10.3    10.3 1
-1985  9 12    11.2    10.9    10.9 1
-1985  9 13    12.5    12.2    12.2 1
-1985  9 14    12.3    12.0    12.0 1
-1985  9 15    11.0    10.7    10.7 1
-1985  9 16    12.1    11.8    11.8 1
-1985  9 17    11.1    10.8    10.8 1
-1985  9 18    10.7    10.4    10.4 1
-1985  9 19    10.2     9.9     9.9 1
-1985  9 20    13.4    13.1    13.1 1
-1985  9 21    10.3    10.0    10.0 1
-1985  9 22     9.0     8.7     8.7 1
-1985  9 23     8.0     7.7     7.7 1
-1985  9 24     8.0     7.7     7.7 1
-1985  9 25     7.1     6.8     6.8 1
-1985  9 26     7.2     6.9     6.9 1
-1985  9 27     8.3     8.0     8.0 1
-1985  9 28     9.0     8.7     8.7 1
-1985  9 29     5.9     5.6     5.6 1
-1985  9 30     6.5     6.2     6.2 1
-1985 10  1    15.3    15.0    15.0 1
-1985 10  2    14.5    14.2    14.2 1
-1985 10  3    14.1    13.8    13.8 1
-1985 10  4    16.1    15.8    15.8 1
-1985 10  5    13.8    13.5    13.5 1
-1985 10  6    11.8    11.5    11.5 1
-1985 10  7    10.9    10.6    10.6 1
-1985 10  8    11.5    11.2    11.2 1
-1985 10  9     9.0     8.7     8.7 1
-1985 10 10     9.3     9.1     9.1 1
-1985 10 11     9.3     9.1     9.1 1
-1985 10 12     6.6     6.4     6.4 1
-1985 10 13     5.0     4.8     4.8 1
-1985 10 14     7.6     7.4     7.4 1
-1985 10 15     6.9     6.7     6.7 1
-1985 10 16    10.4    10.2    10.2 1
-1985 10 17     3.8     3.5     3.5 1
-1985 10 18     5.7     5.4     5.4 1
-1985 10 19     6.9     6.6     6.6 1
-1985 10 20     8.5     8.2     8.2 1
-1985 10 21     8.3     8.0     8.0 1
-1985 10 22     7.1     6.8     6.8 1
-1985 10 23     6.6     6.3     6.3 1
-1985 10 24     4.8     4.5     4.5 1
-1985 10 25     5.8     5.5     5.5 1
-1985 10 26     5.7     5.4     5.4 1
-1985 10 27     2.5     2.2     2.2 1
-1985 10 28     2.9     2.6     2.6 1
-1985 10 29     3.7     3.4     3.4 1
-1985 10 30     7.4     7.0     7.0 1
-1985 10 31     4.7     4.3     4.3 1
-1985 11  1     0.0    -0.4    -0.4 1
-1985 11  2     3.1     2.7     2.7 1
-1985 11  3     1.8     1.4     1.4 1
-1985 11  4     2.2     1.8     1.8 1
-1985 11  5     5.7     5.3     5.3 1
-1985 11  6     6.6     6.2     6.2 1
-1985 11  7     4.0     3.6     3.6 1
-1985 11  8     1.5     1.1     1.1 1
-1985 11  9     4.7     4.3     4.3 1
-1985 11 10     6.1     5.7     5.7 1
-1985 11 11     0.6     0.2     0.2 1
-1985 11 12     1.4     1.0     1.0 1
-1985 11 13    -0.3    -0.8    -0.8 1
-1985 11 14    -0.2    -0.7    -0.7 1
-1985 11 15    -0.1    -0.6    -0.6 1
-1985 11 16     0.3    -0.2    -0.2 1
-1985 11 17    -0.7    -1.2    -1.2 1
-1985 11 18     0.4    -0.1    -0.1 1
-1985 11 19    -0.6    -1.1    -1.1 1
-1985 11 20    -0.4    -0.9    -0.9 1
-1985 11 21    -0.8    -1.3    -1.3 1
-1985 11 22    -0.2    -0.7    -0.7 1
-1985 11 23    -1.0    -1.5    -1.5 1
-1985 11 24    -2.5    -3.0    -3.0 1
-1985 11 25    -1.6    -2.1    -2.1 1
-1985 11 26    -2.6    -3.1    -3.1 1
-1985 11 27    -0.8    -1.3    -1.3 1
-1985 11 28    -0.6    -1.1    -1.1 1
-1985 11 29     0.0    -0.5    -0.5 1
-1985 11 30    -2.9    -3.4    -3.4 1
-1985 12  1    -6.6    -7.1    -7.1 1
-1985 12  2    -3.6    -4.1    -4.1 1
-1985 12  3     1.6     1.1     1.1 1
-1985 12  4     3.0     2.5     2.5 1
-1985 12  5    -0.3    -0.9    -0.9 1
-1985 12  6    -2.5    -3.1    -3.1 1
-1985 12  7    -8.9    -9.5    -9.5 1
-1985 12  8   -10.7   -11.3   -11.3 1
-1985 12  9    -8.6    -9.2    -9.2 1
-1985 12 10    -9.7   -10.3   -10.3 1
-1985 12 11   -10.0   -10.6   -10.6 1
-1985 12 12    -2.9    -3.5    -3.5 1
-1985 12 13     1.4     0.8     0.8 1
-1985 12 14     0.7     0.1     0.1 1
-1985 12 15    -4.3    -4.9    -4.9 1
-1985 12 16    -4.4    -5.0    -5.0 1
-1985 12 17    -6.2    -6.8    -6.8 1
-1985 12 18    -7.9    -8.5    -8.5 1
-1985 12 19    -1.5    -2.1    -2.1 1
-1985 12 20    -7.2    -7.8    -7.8 1
-1985 12 21     2.0     1.4     1.4 1
-1985 12 22     5.7     5.1     5.1 1
-1985 12 23     4.2     3.6     3.6 1
-1985 12 24     3.0     2.4     2.4 1
-1985 12 25     2.6     1.9     1.9 1
-1985 12 26    -4.0    -4.7    -4.7 1
-1985 12 27    -9.1    -9.8    -9.8 1
-1985 12 28    -6.7    -7.4    -7.4 1
-1985 12 29    -6.8    -7.5    -7.5 1
-1985 12 30    -9.8   -10.5   -10.5 1
-1985 12 31    -7.5    -8.2    -8.2 1
-1986  1  1   -12.0   -12.7   -12.7 1
-1986  1  2    -3.2    -3.9    -3.9 1
-1986  1  3    -2.4    -3.1    -3.1 1
-1986  1  4    -2.8    -3.5    -3.5 1
-1986  1  5    -7.1    -7.8    -7.8 1
-1986  1  6    -5.4    -6.1    -6.1 1
-1986  1  7    -8.7    -9.4    -9.4 1
-1986  1  8    -8.7    -9.4    -9.4 1
-1986  1  9    -7.8    -8.5    -8.5 1
-1986  1 10   -11.6   -12.3   -12.3 1
-1986  1 11    -2.4    -3.2    -3.2 1
-1986  1 12     0.6    -0.2    -0.2 1
-1986  1 13     1.0     0.2     0.2 1
-1986  1 14     0.3    -0.5    -0.5 1
-1986  1 15    -3.0    -3.8    -3.8 1
-1986  1 16   -10.8   -11.6   -11.6 1
-1986  1 17   -13.2   -14.0   -14.0 1
-1986  1 18    -8.3    -9.1    -9.1 1
-1986  1 19    -7.7    -8.5    -8.5 1
-1986  1 20    -8.8    -9.6    -9.6 1
-1986  1 21     0.8     0.0     0.0 1
-1986  1 22     2.4     1.6     1.6 1
-1986  1 23     1.0     0.2     0.2 1
-1986  1 24     0.7    -0.1    -0.1 1
-1986  1 25    -1.4    -2.2    -2.2 1
-1986  1 26    -2.6    -3.4    -3.4 1
-1986  1 27    -2.3    -3.1    -3.1 1
-1986  1 28    -3.5    -4.3    -4.3 1
-1986  1 29    -0.6    -1.4    -1.4 1
-1986  1 30    -1.5    -2.3    -2.3 1
-1986  1 31    -1.0    -1.8    -1.8 1
-1986  2  1    -1.2    -2.0    -2.0 1
-1986  2  2    -2.4    -3.2    -3.2 1
-1986  2  3    -4.8    -5.6    -5.6 1
-1986  2  4    -8.0    -8.8    -8.8 1
-1986  2  5    -8.2    -9.0    -9.0 1
-1986  2  6    -9.7   -10.5   -10.5 1
-1986  2  7   -10.1   -10.9   -10.9 1
-1986  2  8    -9.6   -10.4   -10.4 1
-1986  2  9    -7.9    -8.7    -8.7 1
-1986  2 10    -5.4    -6.2    -6.2 1
-1986  2 11    -6.2    -7.0    -7.0 1
-1986  2 12    -9.0    -9.8    -9.8 1
-1986  2 13    -4.7    -5.5    -5.5 1
-1986  2 14    -4.2    -5.0    -5.0 1
-1986  2 15    -3.8    -4.6    -4.6 1
-1986  2 16    -6.2    -7.1    -7.1 1
-1986  2 17    -8.4    -9.3    -9.3 1
-1986  2 18    -8.4    -9.3    -9.3 1
-1986  2 19   -13.2   -14.1   -14.1 1
-1986  2 20    -7.8    -8.7    -8.7 1
-1986  2 21    -7.8    -8.7    -8.7 1
-1986  2 22   -10.6   -11.5   -11.5 1
-1986  2 23   -12.0   -12.9   -12.9 1
-1986  2 24   -12.2   -13.1   -13.1 1
-1986  2 25   -11.2   -12.1   -12.1 1
-1986  2 26    -5.1    -6.0    -6.0 1
-1986  2 27    -5.8    -6.7    -6.7 1
-1986  2 28    -6.3    -7.2    -7.2 1
-1986  3  1    -4.5    -5.4    -5.4 1
-1986  3  2    -3.1    -4.0    -4.0 1
-1986  3  3    -0.2    -1.1    -1.1 1
-1986  3  4    -0.4    -1.3    -1.3 1
-1986  3  5    -0.4    -1.3    -1.3 1
-1986  3  6     3.8     2.9     2.9 1
-1986  3  7     2.2     1.3     1.3 1
-1986  3  8     4.1     3.2     3.2 1
-1986  3  9     0.0    -0.9    -0.9 1
-1986  3 10    -1.3    -2.2    -2.2 1
-1986  3 11     0.1    -0.8    -0.8 1
-1986  3 12    -0.6    -1.5    -1.5 1
-1986  3 13    -0.1    -1.1    -1.1 1
-1986  3 14    -0.1    -1.1    -1.1 1
-1986  3 15    -0.2    -1.2    -1.2 1
-1986  3 16    -1.1    -2.1    -2.1 1
-1986  3 17     0.8    -0.1    -0.1 1
-1986  3 18     2.3     1.4     1.4 1
-1986  3 19     2.4     1.5     1.5 1
-1986  3 20     2.8     1.9     1.9 1
-1986  3 21     1.9     1.0     1.0 1
-1986  3 22     2.5     1.6     1.6 1
-1986  3 23     1.1     0.2     0.2 1
-1986  3 24     1.4     0.5     0.5 1
-1986  3 25     1.1     0.2     0.2 1
-1986  3 26     2.9     2.0     2.0 1
-1986  3 27     2.7     1.8     1.8 1
-1986  3 28     5.4     4.5     4.5 1
-1986  3 29     3.6     2.7     2.7 1
-1986  3 30     3.7     2.8     2.8 1
-1986  3 31     1.0     0.1     0.1 1
-1986  4  1     1.9     1.0     1.0 1
-1986  4  2     2.0     1.1     1.1 1
-1986  4  3     3.3     2.4     2.4 1
-1986  4  4     2.3     1.4     1.4 1
-1986  4  5     1.7     0.8     0.8 1
-1986  4  6     1.6     0.8     0.8 1
-1986  4  7     0.1    -0.7    -0.7 1
-1986  4  8     3.2     2.4     2.4 1
-1986  4  9     3.4     2.6     2.6 1
-1986  4 10    -2.5    -3.3    -3.3 1
-1986  4 11    -1.7    -2.5    -2.5 1
-1986  4 12     0.8     0.0     0.0 1
-1986  4 13     0.1    -0.7    -0.7 1
-1986  4 14    -0.5    -1.3    -1.3 1
-1986  4 15    -1.2    -2.0    -2.0 1
-1986  4 16    -0.1    -0.9    -0.9 1
-1986  4 17     3.1     2.3     2.3 1
-1986  4 18     3.2     2.3     2.3 1
-1986  4 19     1.7     0.8     0.8 1
-1986  4 20     0.5    -0.4    -0.4 1
-1986  4 21     0.6    -0.3    -0.3 1
-1986  4 22     1.9     1.0     1.0 1
-1986  4 23     7.0     6.0     6.0 1
-1986  4 24     7.4     6.4     6.4 1
-1986  4 25     5.2     4.2     4.2 1
-1986  4 26     6.9     5.9     5.9 1
-1986  4 27     8.8     7.8     7.8 1
-1986  4 28    11.5    10.5    10.5 1
-1986  4 29     9.8     8.7     8.7 1
-1986  4 30     7.6     6.5     6.5 1
-1986  5  1    10.3     9.2     9.2 1
-1986  5  2    13.0    11.9    11.9 1
-1986  5  3    12.1    11.0    11.0 1
-1986  5  4    13.4    12.2    12.2 1
-1986  5  5    14.4    13.2    13.2 1
-1986  5  6    15.6    14.4    14.4 1
-1986  5  7    16.9    15.7    15.7 1
-1986  5  8    15.0    13.8    13.8 1
-1986  5  9    13.6    12.3    12.3 1
-1986  5 10    11.9    10.6    10.6 1
-1986  5 11     8.7     7.4     7.4 1
-1986  5 12     9.9     8.6     8.6 1
-1986  5 13    10.9     9.6     9.6 1
-1986  5 14    12.2    10.8    10.8 1
-1986  5 15    12.4    11.0    11.0 1
-1986  5 16    10.2     8.8     8.8 1
-1986  5 17    12.7    11.3    11.3 1
-1986  5 18    12.8    11.5    11.5 1
-1986  5 19    11.9    10.6    10.6 1
-1986  5 20    15.3    14.0    14.0 1
-1986  5 21    15.3    14.0    14.0 1
-1986  5 22    13.2    11.9    11.9 1
-1986  5 23    12.9    11.6    11.6 1
-1986  5 24    11.3    10.0    10.0 1
-1986  5 25    12.6    11.3    11.3 1
-1986  5 26    14.1    12.8    12.8 1
-1986  5 27    13.5    12.2    12.2 1
-1986  5 28    12.2    10.9    10.9 1
-1986  5 29    11.8    10.6    10.6 1
-1986  5 30    12.7    11.5    11.5 1
-1986  5 31    14.0    12.8    12.8 1
-1986  6  1    14.2    13.0    13.0 1
-1986  6  2    16.9    15.7    15.7 1
-1986  6  3    12.9    11.7    11.7 1
-1986  6  4    11.1     9.9     9.9 1
-1986  6  5    14.2    13.0    13.0 1
-1986  6  6    14.5    13.3    13.3 1
-1986  6  7    11.1     9.9     9.9 1
-1986  6  8    11.1     9.9     9.9 1
-1986  6  9    11.6    10.5    10.5 1
-1986  6 10    15.2    14.1    14.1 1
-1986  6 11    14.5    13.4    13.4 1
-1986  6 12    16.2    15.1    15.1 1
-1986  6 13    16.7    15.6    15.6 1
-1986  6 14    16.8    15.7    15.7 1
-1986  6 15    19.3    18.2    18.2 1
-1986  6 16    20.1    19.0    19.0 1
-1986  6 17    21.3    20.2    20.2 1
-1986  6 18    21.0    19.9    19.9 1
-1986  6 19    19.6    18.5    18.5 1
-1986  6 20    14.8    13.7    13.7 1
-1986  6 21    12.8    11.7    11.7 1
-1986  6 22    13.0    11.9    11.9 1
-1986  6 23    14.4    13.3    13.3 1
-1986  6 24    16.6    15.5    15.5 1
-1986  6 25    18.9    17.8    17.8 1
-1986  6 26    21.8    20.7    20.7 1
-1986  6 27    21.2    20.1    20.1 1
-1986  6 28    17.6    16.5    16.5 1
-1986  6 29    17.1    16.0    16.0 1
-1986  6 30    20.1    19.1    19.1 1
-1986  7  1    21.0    20.0    20.0 1
-1986  7  2    19.1    18.1    18.1 1
-1986  7  3    19.5    18.5    18.5 1
-1986  7  4    19.5    18.5    18.5 1
-1986  7  5    19.2    18.2    18.2 1
-1986  7  6    15.9    14.9    14.9 1
-1986  7  7    19.0    18.0    18.0 1
-1986  7  8    16.3    15.3    15.3 1
-1986  7  9    13.3    12.3    12.3 1
-1986  7 10    13.2    12.2    12.2 1
-1986  7 11    15.5    14.5    14.5 1
-1986  7 12    10.8     9.8     9.8 1
-1986  7 13    11.1    10.1    10.1 1
-1986  7 14    14.5    13.5    13.5 1
-1986  7 15    17.8    16.8    16.8 1
-1986  7 16    19.3    18.3    18.3 1
-1986  7 17    19.3    18.3    18.3 1
-1986  7 18    18.2    17.2    17.2 1
-1986  7 19    18.4    17.4    17.4 1
-1986  7 20    18.0    17.0    17.0 1
-1986  7 21    16.7    15.7    15.7 1
-1986  7 22    18.0    17.0    17.0 1
-1986  7 23    17.5    16.5    16.5 1
-1986  7 24    16.6    15.7    15.7 1
-1986  7 25    16.0    15.1    15.1 1
-1986  7 26    17.8    16.9    16.9 1
-1986  7 27    18.7    17.8    17.8 1
-1986  7 28    20.2    19.3    19.3 1
-1986  7 29    20.1    19.2    19.2 1
-1986  7 30    18.6    17.7    17.7 1
-1986  7 31    17.2    16.3    16.3 1
-1986  8  1    17.8    16.9    16.9 1
-1986  8  2    16.8    15.9    15.9 1
-1986  8  3    19.2    18.3    18.3 1
-1986  8  4    20.9    20.0    20.0 1
-1986  8  5    17.9    17.0    17.0 1
-1986  8  6    17.2    16.4    16.4 1
-1986  8  7    16.8    16.0    16.0 1
-1986  8  8    15.5    14.7    14.7 1
-1986  8  9    17.0    16.2    16.2 1
-1986  8 10    16.6    15.8    15.8 1
-1986  8 11    14.0    13.2    13.2 1
-1986  8 12    14.5    13.7    13.7 1
-1986  8 13    12.8    12.0    12.0 1
-1986  8 14    12.8    12.0    12.0 1
-1986  8 15    13.2    12.4    12.4 1
-1986  8 16    14.0    13.2    13.2 1
-1986  8 17    13.6    12.9    12.9 1
-1986  8 18    13.5    12.8    12.8 1
-1986  8 19    13.2    12.5    12.5 1
-1986  8 20    13.5    12.8    12.8 1
-1986  8 21    14.0    13.3    13.3 1
-1986  8 22    11.7    11.0    11.0 1
-1986  8 23    10.8    10.1    10.1 1
-1986  8 24    10.3     9.7     9.7 1
-1986  8 25    10.0     9.4     9.4 1
-1986  8 26    10.4     9.8     9.8 1
-1986  8 27     9.5     8.9     8.9 1
-1986  8 28    13.2    12.6    12.6 1
-1986  8 29    12.1    11.5    11.5 1
-1986  8 30     8.5     8.0     8.0 1
-1986  8 31     8.9     8.4     8.4 1
-1986  9  1    12.2    11.7    11.7 1
-1986  9  2    11.8    11.3    11.3 1
-1986  9  3    11.8    11.3    11.3 1
-1986  9  4    10.9    10.4    10.4 1
-1986  9  5    11.4    10.9    10.9 1
-1986  9  6    11.0    10.6    10.6 1
-1986  9  7     9.5     9.1     9.1 1
-1986  9  8     8.7     8.3     8.3 1
-1986  9  9    10.0     9.6     9.6 1
-1986  9 10    10.0     9.6     9.6 1
-1986  9 11     9.9     9.5     9.5 1
-1986  9 12     9.4     9.1     9.1 1
-1986  9 13     9.6     9.3     9.3 1
-1986  9 14     9.9     9.6     9.6 1
-1986  9 15     9.3     9.0     9.0 1
-1986  9 16     8.8     8.5     8.5 1
-1986  9 17     8.9     8.6     8.6 1
-1986  9 18     9.0     8.7     8.7 1
-1986  9 19    10.5    10.2    10.2 1
-1986  9 20    12.2    11.9    11.9 1
-1986  9 21    10.2     9.9     9.9 1
-1986  9 22     8.8     8.5     8.5 1
-1986  9 23     7.2     6.9     6.9 1
-1986  9 24     7.2     6.9     6.9 1
-1986  9 25     5.8     5.5     5.5 1
-1986  9 26     4.1     3.8     3.8 1
-1986  9 27     4.0     3.7     3.7 1
-1986  9 28     7.0     6.7     6.7 1
-1986  9 29    12.3    12.0    12.0 1
-1986  9 30     8.4     8.1     8.1 1
-1986 10  1    13.3    13.0    13.0 1
-1986 10  2    12.4    12.1    12.1 1
-1986 10  3     8.0     7.7     7.7 1
-1986 10  4     7.6     7.3     7.3 1
-1986 10  5     4.9     4.6     4.6 1
-1986 10  6     7.0     6.7     6.7 1
-1986 10  7     8.4     8.1     8.1 1
-1986 10  8     5.3     5.0     5.0 1
-1986 10  9     5.1     4.8     4.8 1
-1986 10 10    10.0     9.8     9.8 1
-1986 10 11     9.4     9.2     9.2 1
-1986 10 12     8.7     8.5     8.5 1
-1986 10 13     8.6     8.4     8.4 1
-1986 10 14     7.0     6.8     6.8 1
-1986 10 15     9.6     9.4     9.4 1
-1986 10 16    10.3    10.1    10.1 1
-1986 10 17     8.1     7.8     7.8 1
-1986 10 18     6.7     6.4     6.4 1
-1986 10 19     8.4     8.1     8.1 1
-1986 10 20     7.1     6.8     6.8 1
-1986 10 21     5.4     5.1     5.1 1
-1986 10 22     4.5     4.2     4.2 1
-1986 10 23     4.2     3.9     3.9 1
-1986 10 24     4.4     4.1     4.1 1
-1986 10 25     4.6     4.3     4.3 1
-1986 10 26     7.0     6.7     6.7 1
-1986 10 27     8.0     7.7     7.7 1
-1986 10 28     7.5     7.2     7.2 1
-1986 10 29     8.3     8.0     8.0 1
-1986 10 30     6.8     6.4     6.4 1
-1986 10 31     6.0     5.6     5.6 1
-1986 11  1     5.3     4.9     4.9 1
-1986 11  2     2.4     2.0     2.0 1
-1986 11  3     1.0     0.6     0.6 1
-1986 11  4     3.4     3.0     3.0 1
-1986 11  5     2.2     1.8     1.8 1
-1986 11  6     3.7     3.3     3.3 1
-1986 11  7     1.8     1.4     1.4 1
-1986 11  8     6.8     6.4     6.4 1
-1986 11  9     5.9     5.5     5.5 1
-1986 11 10     7.4     7.0     7.0 1
-1986 11 11    10.0     9.6     9.6 1
-1986 11 12     5.9     5.5     5.5 1
-1986 11 13     1.5     1.0     1.0 1
-1986 11 14     4.4     3.9     3.9 1
-1986 11 15     5.1     4.6     4.6 1
-1986 11 16     6.3     5.8     5.8 1
-1986 11 17     4.5     4.0     4.0 1
-1986 11 18     6.0     5.5     5.5 1
-1986 11 19     6.2     5.7     5.7 1
-1986 11 20     3.4     2.9     2.9 1
-1986 11 21     2.0     1.5     1.5 1
-1986 11 22     4.5     4.0     4.0 1
-1986 11 23     5.9     5.4     5.4 1
-1986 11 24     5.7     5.2     5.2 1
-1986 11 25     7.8     7.3     7.3 1
-1986 11 26    10.3     9.8     9.8 1
-1986 11 27     6.3     5.8     5.8 1
-1986 11 28     8.5     8.0     8.0 1
-1986 11 29     7.9     7.4     7.4 1
-1986 11 30     5.1     4.6     4.6 1
-1986 12  1     7.3     6.8     6.8 1
-1986 12  2     1.5     1.0     1.0 1
-1986 12  3     4.5     4.0     4.0 1
-1986 12  4     8.9     8.4     8.4 1
-1986 12  5     4.3     3.7     3.7 1
-1986 12  6     1.8     1.2     1.2 1
-1986 12  7    -3.5    -4.1    -4.1 1
-1986 12  8     3.3     2.7     2.7 1
-1986 12  9     4.4     3.8     3.8 1
-1986 12 10     5.5     4.9     4.9 1
-1986 12 11     0.9     0.3     0.3 1
-1986 12 12    -0.5    -1.1    -1.1 1
-1986 12 13     1.4     0.8     0.8 1
-1986 12 14     0.8     0.2     0.2 1
-1986 12 15    -2.5    -3.1    -3.1 1
-1986 12 16    -0.6    -1.2    -1.2 1
-1986 12 17    -1.3    -1.9    -1.9 1
-1986 12 18    -1.6    -2.2    -2.2 1
-1986 12 19    -2.2    -2.8    -2.8 1
-1986 12 20    -6.9    -7.5    -7.5 1
-1986 12 21    -5.3    -5.9    -5.9 1
-1986 12 22    -4.1    -4.7    -4.7 1
-1986 12 23    -3.5    -4.1    -4.1 1
-1986 12 24    -5.2    -5.8    -5.8 1
-1986 12 25    -4.8    -5.5    -5.5 1
-1986 12 26    -1.4    -2.1    -2.1 1
-1986 12 27    -3.0    -3.7    -3.7 1
-1986 12 28    -3.9    -4.6    -4.6 1
-1986 12 29    -2.4    -3.1    -3.1 1
-1986 12 30    -8.2    -8.9    -8.9 1
-1986 12 31   -10.0   -10.7   -10.7 1
-1987  1  1    -9.9   -10.6   -10.6 1
-1987  1  2   -11.0   -11.7   -11.7 1
-1987  1  3   -10.6   -11.3   -11.3 1
-1987  1  4   -13.6   -14.3   -14.3 1
-1987  1  5    -7.8    -8.5    -8.5 1
-1987  1  6   -13.3   -14.0   -14.0 1
-1987  1  7   -18.9   -19.6   -19.6 1
-1987  1  8   -16.4   -17.1   -17.1 1
-1987  1  9   -20.5   -21.2   -21.2 1
-1987  1 10   -23.9   -24.6   -24.6 1
-1987  1 11   -21.8   -22.6   -22.6 1
-1987  1 12   -20.4   -21.2   -21.2 1
-1987  1 13   -17.7   -18.5   -18.5 1
-1987  1 14   -10.1   -10.9   -10.9 1
-1987  1 15   -11.0   -11.8   -11.8 1
-1987  1 16   -12.2   -13.0   -13.0 1
-1987  1 17   -10.7   -11.5   -11.5 1
-1987  1 18    -6.9    -7.7    -7.7 1
-1987  1 19    -7.0    -7.8    -7.8 1
-1987  1 20    -4.9    -5.7    -5.7 1
-1987  1 21    -4.5    -5.3    -5.3 1
-1987  1 22    -6.9    -7.7    -7.7 1
-1987  1 23    -6.5    -7.3    -7.3 1
-1987  1 24    -4.2    -5.0    -5.0 1
-1987  1 25    -0.6    -1.4    -1.4 1
-1987  1 26    -8.2    -9.0    -9.0 1
-1987  1 27   -11.5   -12.3   -12.3 1
-1987  1 28   -14.0   -14.8   -14.8 1
-1987  1 29   -16.7   -17.5   -17.5 1
-1987  1 30    -6.6    -7.4    -7.4 1
-1987  1 31     0.9     0.1     0.1 1
-1987  2  1    -2.2    -3.0    -3.0 1
-1987  2  2    -1.4    -2.2    -2.2 1
-1987  2  3    -1.7    -2.5    -2.5 1
-1987  2  4     0.7    -0.1    -0.1 1
-1987  2  5     2.5     1.7     1.7 1
-1987  2  6     2.9     2.1     2.1 1
-1987  2  7    -3.7    -4.5    -4.5 1
-1987  2  8    -7.7    -8.5    -8.5 1
-1987  2  9    -8.0    -8.8    -8.8 1
-1987  2 10    -6.5    -7.3    -7.3 1
-1987  2 11    -0.2    -1.0    -1.0 1
-1987  2 12     0.9     0.1     0.1 1
-1987  2 13     0.3    -0.5    -0.5 1
-1987  2 14     0.8     0.0     0.0 1
-1987  2 15    -3.4    -4.3    -4.3 1
-1987  2 16    -5.4    -6.3    -6.3 1
-1987  2 17    -4.1    -5.0    -5.0 1
-1987  2 18    -8.0    -8.9    -8.9 1
-1987  2 19    -7.1    -8.0    -8.0 1
-1987  2 20    -3.5    -4.4    -4.4 1
-1987  2 21    -0.5    -1.4    -1.4 1
-1987  2 22    -2.3    -3.2    -3.2 1
-1987  2 23    -6.6    -7.5    -7.5 1
-1987  2 24    -5.0    -5.9    -5.9 1
-1987  2 25    -9.3   -10.2   -10.2 1
-1987  2 26    -7.2    -8.1    -8.1 1
-1987  2 27    -3.4    -4.3    -4.3 1
-1987  2 28    -9.5   -10.4   -10.4 1
-1987  3  1   -11.8   -12.7   -12.7 1
-1987  3  2   -14.1   -15.0   -15.0 1
-1987  3  3   -12.7   -13.6   -13.6 1
-1987  3  4   -12.1   -13.0   -13.0 1
-1987  3  5   -11.9   -12.8   -12.8 1
-1987  3  6    -8.1    -9.0    -9.0 1
-1987  3  7    -9.5   -10.4   -10.4 1
-1987  3  8    -5.9    -6.8    -6.8 1
-1987  3  9    -5.7    -6.6    -6.6 1
-1987  3 10    -3.2    -4.1    -4.1 1
-1987  3 11    -1.1    -2.0    -2.0 1
-1987  3 12    -1.1    -2.0    -2.0 1
-1987  3 13    -3.7    -4.7    -4.7 1
-1987  3 14    -5.8    -6.8    -6.8 1
-1987  3 15    -5.0    -6.0    -6.0 1
-1987  3 16    -3.4    -4.4    -4.4 1
-1987  3 17    -1.8    -2.7    -2.7 1
-1987  3 18    -0.7    -1.6    -1.6 1
-1987  3 19    -1.3    -2.2    -2.2 1
-1987  3 20    -0.4    -1.3    -1.3 1
-1987  3 21     0.5    -0.4    -0.4 1
-1987  3 22    -0.5    -1.4    -1.4 1
-1987  3 23     0.0    -0.9    -0.9 1
-1987  3 24     0.3    -0.6    -0.6 1
-1987  3 25    -0.3    -1.2    -1.2 1
-1987  3 26    -1.4    -2.3    -2.3 1
-1987  3 27     2.6     1.7     1.7 1
-1987  3 28     4.1     3.2     3.2 1
-1987  3 29     3.0     2.1     2.1 1
-1987  3 30     4.8     3.9     3.9 1
-1987  3 31     4.8     3.9     3.9 1
-1987  4  1    -0.2    -1.1    -1.1 1
-1987  4  2     1.6     0.7     0.7 1
-1987  4  3     2.8     1.9     1.9 1
-1987  4  4     2.9     2.0     2.0 1
-1987  4  5     3.4     2.5     2.5 1
-1987  4  6     2.8     2.0     2.0 1
-1987  4  7     3.7     2.9     2.9 1
-1987  4  8     0.9     0.1     0.1 1
-1987  4  9    -1.2    -2.0    -2.0 1
-1987  4 10     0.1    -0.7    -0.7 1
-1987  4 11     2.0     1.2     1.2 1
-1987  4 12     3.8     3.0     3.0 1
-1987  4 13     4.0     3.2     3.2 1
-1987  4 14     5.8     5.0     5.0 1
-1987  4 15     4.5     3.7     3.7 1
-1987  4 16     7.7     6.9     6.9 1
-1987  4 17     5.9     5.1     5.1 1
-1987  4 18     3.5     2.6     2.6 1
-1987  4 19     3.7     2.8     2.8 1
-1987  4 20     1.5     0.6     0.6 1
-1987  4 21     2.5     1.6     1.6 1
-1987  4 22     4.7     3.8     3.8 1
-1987  4 23    10.1     9.1     9.1 1
-1987  4 24     9.7     8.7     8.7 1
-1987  4 25     7.6     6.6     6.6 1
-1987  4 26     4.0     3.0     3.0 1
-1987  4 27     7.0     6.0     6.0 1
-1987  4 28    12.4    11.4    11.4 1
-1987  4 29    16.2    15.1    15.1 1
-1987  4 30    16.0    14.9    14.9 1
-1987  5  1    15.8    14.7    14.7 1
-1987  5  2    13.4    12.3    12.3 1
-1987  5  3    10.2     9.1     9.1 1
-1987  5  4     3.9     2.7     2.7 1
-1987  5  5     6.8     5.6     5.6 1
-1987  5  6     9.3     8.1     8.1 1
-1987  5  7     7.2     6.0     6.0 1
-1987  5  8     8.3     7.1     7.1 1
-1987  5  9     8.6     7.3     7.3 1
-1987  5 10     7.0     5.7     5.7 1
-1987  5 11     6.2     4.9     4.9 1
-1987  5 12     5.4     4.1     4.1 1
-1987  5 13     7.7     6.4     6.4 1
-1987  5 14     8.2     6.8     6.8 1
-1987  5 15     7.0     5.6     5.6 1
-1987  5 16     8.9     7.5     7.5 1
-1987  5 17     7.4     6.0     6.0 1
-1987  5 18     9.0     7.7     7.7 1
-1987  5 19    11.0     9.7     9.7 1
-1987  5 20     9.1     7.8     7.8 1
-1987  5 21     8.5     7.2     7.2 1
-1987  5 22    10.5     9.2     9.2 1
-1987  5 23    14.6    13.3    13.3 1
-1987  5 24     9.9     8.6     8.6 1
-1987  5 25    11.0     9.7     9.7 1
-1987  5 26    10.1     8.8     8.8 1
-1987  5 27     6.9     5.6     5.6 1
-1987  5 28     6.8     5.5     5.5 1
-1987  5 29     6.7     5.5     5.5 1
-1987  5 30     6.9     5.7     5.7 1
-1987  5 31     9.3     8.1     8.1 1
-1987  6  1    11.4    10.2    10.2 1
-1987  6  2     8.5     7.3     7.3 1
-1987  6  3     7.8     6.6     6.6 1
-1987  6  4    12.4    11.2    11.2 1
-1987  6  5    14.2    13.0    13.0 1
-1987  6  6    13.4    12.2    12.2 1
-1987  6  7    14.0    12.8    12.8 1
-1987  6  8    13.1    11.9    11.9 1
-1987  6  9    12.4    11.3    11.3 1
-1987  6 10    13.7    12.6    12.6 1
-1987  6 11    13.0    11.9    11.9 1
-1987  6 12    12.0    10.9    10.9 1
-1987  6 13    12.2    11.1    11.1 1
-1987  6 14     9.5     8.4     8.4 1
-1987  6 15     9.5     8.4     8.4 1
-1987  6 16     8.8     7.7     7.7 1
-1987  6 17     9.5     8.4     8.4 1
-1987  6 18    11.2    10.1    10.1 1
-1987  6 19     9.6     8.5     8.5 1
-1987  6 20    11.8    10.7    10.7 1
-1987  6 21    13.6    12.5    12.5 1
-1987  6 22    16.2    15.1    15.1 1
-1987  6 23    15.2    14.1    14.1 1
-1987  6 24    13.2    12.1    12.1 1
-1987  6 25    13.3    12.2    12.2 1
-1987  6 26    12.7    11.6    11.6 1
-1987  6 27    14.4    13.3    13.3 1
-1987  6 28    14.7    13.6    13.6 1
-1987  6 29    15.0    13.9    13.9 1
-1987  6 30    15.3    14.3    14.3 1
-1987  7  1    17.3    16.3    16.3 1
-1987  7  2    16.7    15.7    15.7 1
-1987  7  3    15.2    14.2    14.2 1
-1987  7  4    15.1    14.1    14.1 1
-1987  7  5    16.9    15.9    15.9 1
-1987  7  6    20.1    19.1    19.1 1
-1987  7  7    19.9    18.9    18.9 1
-1987  7  8    18.9    17.9    17.9 1
-1987  7  9    13.7    12.7    12.7 1
-1987  7 10    15.2    14.2    14.2 1
-1987  7 11    14.1    13.1    13.1 1
-1987  7 12    16.3    15.3    15.3 1
-1987  7 13    14.3    13.3    13.3 1
-1987  7 14    15.1    14.1    14.1 1
-1987  7 15    15.8    14.8    14.8 1
-1987  7 16    16.3    15.3    15.3 1
-1987  7 17    15.1    14.1    14.1 1
-1987  7 18    16.7    15.7    15.7 1
-1987  7 19    17.7    16.7    16.7 1
-1987  7 20    17.5    16.5    16.5 1
-1987  7 21    19.2    18.2    18.2 1
-1987  7 22    21.4    20.4    20.4 1
-1987  7 23    22.7    21.7    21.7 1
-1987  7 24    19.3    18.4    18.4 1
-1987  7 25    15.8    14.9    14.9 1
-1987  7 26    14.5    13.6    13.6 1
-1987  7 27    13.4    12.5    12.5 1
-1987  7 28    14.0    13.1    13.1 1
-1987  7 29    12.4    11.5    11.5 1
-1987  7 30    14.6    13.7    13.7 1
-1987  7 31    14.0    13.1    13.1 1
-1987  8  1    13.9    13.0    13.0 1
-1987  8  2    12.6    11.7    11.7 1
-1987  8  3    12.8    11.9    11.9 1
-1987  8  4    14.2    13.3    13.3 1
-1987  8  5    13.8    12.9    12.9 1
-1987  8  6    11.9    11.1    11.1 1
-1987  8  7    13.1    12.3    12.3 1
-1987  8  8    11.6    10.8    10.8 1
-1987  8  9    10.1     9.3     9.3 1
-1987  8 10    11.0    10.2    10.2 1
-1987  8 11    11.3    10.5    10.5 1
-1987  8 12    13.8    13.0    13.0 1
-1987  8 13    15.8    15.0    15.0 1
-1987  8 14    14.8    14.0    14.0 1
-1987  8 15    11.8    11.0    11.0 1
-1987  8 16    11.2    10.4    10.4 1
-1987  8 17    13.3    12.6    12.6 1
-1987  8 18    14.7    14.0    14.0 1
-1987  8 19    15.8    15.1    15.1 1
-1987  8 20    15.8    15.1    15.1 1
-1987  8 21    14.9    14.2    14.2 1
-1987  8 22    16.8    16.1    16.1 1
-1987  8 23    16.3    15.6    15.6 1
-1987  8 24    12.0    11.4    11.4 1
-1987  8 25    11.7    11.1    11.1 1
-1987  8 26    13.9    13.3    13.3 1
-1987  8 27    15.5    14.9    14.9 1
-1987  8 28    12.0    11.4    11.4 1
-1987  8 29    11.4    10.8    10.8 1
-1987  8 30    12.0    11.5    11.5 1
-1987  8 31    11.4    10.9    10.9 1
-1987  9  1    11.3    10.8    10.8 1
-1987  9  2    13.1    12.6    12.6 1
-1987  9  3    13.0    12.5    12.5 1
-1987  9  4    13.3    12.8    12.8 1
-1987  9  5    15.2    14.7    14.7 1
-1987  9  6    15.2    14.8    14.8 1
-1987  9  7    13.1    12.7    12.7 1
-1987  9  8    12.7    12.3    12.3 1
-1987  9  9    13.6    13.2    13.2 1
-1987  9 10    11.7    11.3    11.3 1
-1987  9 11    11.9    11.5    11.5 1
-1987  9 12    11.7    11.4    11.4 1
-1987  9 13    11.3    11.0    11.0 1
-1987  9 14    12.0    11.7    11.7 1
-1987  9 15    11.3    11.0    11.0 1
-1987  9 16    10.0     9.7     9.7 1
-1987  9 17     7.9     7.6     7.6 1
-1987  9 18     8.3     8.0     8.0 1
-1987  9 19    10.0     9.7     9.7 1
-1987  9 20     8.3     8.0     8.0 1
-1987  9 21     8.5     8.2     8.2 1
-1987  9 22     9.6     9.3     9.3 1
-1987  9 23    12.6    12.3    12.3 1
-1987  9 24    11.1    10.8    10.8 1
-1987  9 25    10.7    10.4    10.4 1
-1987  9 26     9.3     9.0     9.0 1
-1987  9 27     8.0     7.7     7.7 1
-1987  9 28     7.2     6.9     6.9 1
-1987  9 29     8.0     7.7     7.7 1
-1987  9 30     7.7     7.4     7.4 1
-1987 10  1     8.8     8.5     8.5 1
-1987 10  2     9.0     8.7     8.7 1
-1987 10  3     8.9     8.6     8.6 1
-1987 10  4     8.9     8.6     8.6 1
-1987 10  5     9.1     8.8     8.8 1
-1987 10  6    10.2     9.9     9.9 1
-1987 10  7    10.9    10.6    10.6 1
-1987 10  8    11.4    11.1    11.1 1
-1987 10  9    10.6    10.3    10.3 1
-1987 10 10    10.7    10.5    10.5 1
-1987 10 11    11.9    11.7    11.7 1
-1987 10 12    11.3    11.1    11.1 1
-1987 10 13     9.3     9.1     9.1 1
-1987 10 14     9.4     9.2     9.2 1
-1987 10 15     9.7     9.5     9.5 1
-1987 10 16    11.3    11.1    11.1 1
-1987 10 17    11.2    10.9    10.9 1
-1987 10 18     9.0     8.7     8.7 1
-1987 10 19    10.2     9.9     9.9 1
-1987 10 20     8.6     8.3     8.3 1
-1987 10 21     7.8     7.5     7.5 1
-1987 10 22     8.2     7.9     7.9 1
-1987 10 23     7.7     7.4     7.4 1
-1987 10 24     8.1     7.8     7.8 1
-1987 10 25     6.5     6.2     6.2 1
-1987 10 26     4.8     4.5     4.5 1
-1987 10 27     6.0     5.7     5.7 1
-1987 10 28     7.1     6.8     6.8 1
-1987 10 29     6.2     5.9     5.9 1
-1987 10 30     6.1     5.7     5.7 1
-1987 10 31     5.8     5.4     5.4 1
-1987 11  1     5.1     4.7     4.7 1
-1987 11  2     4.6     4.2     4.2 1
-1987 11  3     4.8     4.4     4.4 1
-1987 11  4     5.8     5.4     5.4 1
-1987 11  5     7.0     6.6     6.6 1
-1987 11  6     6.8     6.4     6.4 1
-1987 11  7     2.3     1.9     1.9 1
-1987 11  8    -1.4    -1.8    -1.8 1
-1987 11  9    -3.7    -4.1    -4.1 1
-1987 11 10    -1.6    -2.0    -2.0 1
-1987 11 11     0.5     0.1     0.1 1
-1987 11 12     4.0     3.6     3.6 1
-1987 11 13     5.4     4.9     4.9 1
-1987 11 14     5.6     5.1     5.1 1
-1987 11 15     3.8     3.3     3.3 1
-1987 11 16     5.3     4.8     4.8 1
-1987 11 17     5.6     5.1     5.1 1
-1987 11 18     3.6     3.1     3.1 1
-1987 11 19     4.1     3.6     3.6 1
-1987 11 20     3.8     3.3     3.3 1
-1987 11 21     3.8     3.3     3.3 1
-1987 11 22     3.0     2.5     2.5 1
-1987 11 23     4.2     3.7     3.7 1
-1987 11 24     1.8     1.3     1.3 1
-1987 11 25     0.6     0.1     0.1 1
-1987 11 26     0.2    -0.3    -0.3 1
-1987 11 27     1.2     0.7     0.7 1
-1987 11 28     1.4     0.9     0.9 1
-1987 11 29     1.1     0.6     0.6 1
-1987 11 30    -1.4    -1.9    -1.9 1
-1987 12  1    -1.1    -1.6    -1.6 1
-1987 12  2     0.9     0.4     0.4 1
-1987 12  3     0.5     0.0     0.0 1
-1987 12  4     0.5     0.0     0.0 1
-1987 12  5    -1.1    -1.7    -1.7 1
-1987 12  6    -1.6    -2.2    -2.2 1
-1987 12  7    -8.1    -8.7    -8.7 1
-1987 12  8    -5.9    -6.5    -6.5 1
-1987 12  9     0.9     0.3     0.3 1
-1987 12 10     2.4     1.8     1.8 1
-1987 12 11    -2.5    -3.1    -3.1 1
-1987 12 12    -3.2    -3.8    -3.8 1
-1987 12 13     0.9     0.3     0.3 1
-1987 12 14    -1.1    -1.7    -1.7 1
-1987 12 15    -1.8    -2.4    -2.4 1
-1987 12 16    -5.7    -6.3    -6.3 1
-1987 12 17    -6.0    -6.6    -6.6 1
-1987 12 18    -0.7    -1.3    -1.3 1
-1987 12 19     1.6     1.0     1.0 1
-1987 12 20    -0.3    -0.9    -0.9 1
-1987 12 21     0.1    -0.5    -0.5 1
-1987 12 22    -1.0    -1.6    -1.6 1
-1987 12 23    -0.8    -1.4    -1.4 1
-1987 12 24    -1.0    -1.6    -1.6 1
-1987 12 25     0.1    -0.6    -0.6 1
-1987 12 26     4.3     3.6     3.6 1
-1987 12 27     2.2     1.5     1.5 1
-1987 12 28    -1.5    -2.2    -2.2 1
-1987 12 29     1.6     0.9     0.9 1
-1987 12 30     2.0     1.3     1.3 1
-1987 12 31    -1.2    -1.9    -1.9 1
-1988  1  1     3.7     3.0     3.0 1
-1988  1  2     4.3     3.6     3.6 1
-1988  1  3     5.1     4.4     4.4 1
-1988  1  4     4.0     3.3     3.3 1
-1988  1  5     1.7     1.0     1.0 1
-1988  1  6    -0.1    -0.8    -0.8 1
-1988  1  7    -0.2    -0.9    -0.9 1
-1988  1  8    -2.8    -3.5    -3.5 1
-1988  1  9    -4.0    -4.7    -4.7 1
-1988  1 10     2.7     2.0     2.0 1
-1988  1 11     2.1     1.3     1.3 1
-1988  1 12     0.3    -0.5    -0.5 1
-1988  1 13     2.4     1.6     1.6 1
-1988  1 14     1.4     0.6     0.6 1
-1988  1 15     2.0     1.2     1.2 1
-1988  1 16     0.4    -0.4    -0.4 1
-1988  1 17    -0.5    -1.3    -1.3 1
-1988  1 18     1.0     0.2     0.2 1
-1988  1 19     1.7     0.9     0.9 1
-1988  1 20     1.6     0.8     0.8 1
-1988  1 21     2.3     1.5     1.5 1
-1988  1 22     2.6     1.8     1.8 1
-1988  1 23     1.0     0.2     0.2 1
-1988  1 24     0.5    -0.3    -0.3 1
-1988  1 25     0.1    -0.7    -0.7 1
-1988  1 26    -0.7    -1.5    -1.5 1
-1988  1 27    -1.1    -1.9    -1.9 1
-1988  1 28    -2.3    -3.1    -3.1 1
-1988  1 29    -2.5    -3.3    -3.3 1
-1988  1 30    -3.2    -4.0    -4.0 1
-1988  1 31    -2.9    -3.7    -3.7 1
-1988  2  1     0.3    -0.5    -0.5 1
-1988  2  2     0.8     0.0     0.0 1
-1988  2  3     2.9     2.1     2.1 1
-1988  2  4     2.8     2.0     2.0 1
-1988  2  5     3.1     2.3     2.3 1
-1988  2  6     1.7     0.9     0.9 1
-1988  2  7     1.8     1.0     1.0 1
-1988  2  8     0.8     0.0     0.0 1
-1988  2  9     1.2     0.4     0.4 1
-1988  2 10     2.3     1.5     1.5 1
-1988  2 11     3.2     2.4     2.4 1
-1988  2 12     2.9     2.1     2.1 1
-1988  2 13     2.4     1.6     1.6 1
-1988  2 14     1.1     0.3     0.3 1
-1988  2 15     2.6     1.8     1.8 1
-1988  2 16     1.3     0.4     0.4 1
-1988  2 17     0.5    -0.4    -0.4 1
-1988  2 18    -2.3    -3.2    -3.2 1
-1988  2 19    -3.6    -4.5    -4.5 1
-1988  2 20    -5.5    -6.4    -6.4 1
-1988  2 21    -1.4    -2.3    -2.3 1
-1988  2 22    -3.9    -4.8    -4.8 1
-1988  2 23    -2.4    -3.3    -3.3 1
-1988  2 24    -4.6    -5.5    -5.5 1
-1988  2 25    -2.1    -3.0    -3.0 1
-1988  2 26    -2.6    -3.5    -3.5 1
-1988  2 27    -2.9    -3.8    -3.8 1
-1988  2 28    -0.3    -1.2    -1.2 1
-1988  2 29    -2.2    -3.1    -3.1 1
-1988  3  1    -4.9    -5.8    -5.8 1
-1988  3  2    -6.2    -7.1    -7.1 1
-1988  3  3    -4.6    -5.5    -5.5 1
-1988  3  4     0.2    -0.7    -0.7 1
-1988  3  5     1.4     0.5     0.5 1
-1988  3  6     0.8    -0.1    -0.1 1
-1988  3  7    -0.3    -1.2    -1.2 1
-1988  3  8    -2.8    -3.7    -3.7 1
-1988  3  9    -2.7    -3.6    -3.6 1
-1988  3 10    -1.3    -2.2    -2.2 1
-1988  3 11     0.9     0.0     0.0 1
-1988  3 12    -2.9    -3.8    -3.8 1
-1988  3 13    -4.5    -5.5    -5.5 1
-1988  3 14    -4.8    -5.8    -5.8 1
-1988  3 15    -5.1    -6.1    -6.1 1
-1988  3 16    -4.5    -5.5    -5.5 1
-1988  3 17    -4.3    -5.2    -5.2 1
-1988  3 18    -4.1    -5.0    -5.0 1
-1988  3 19    -1.3    -2.2    -2.2 1
-1988  3 20     1.0     0.1     0.1 1
-1988  3 21     1.1     0.2     0.2 1
-1988  3 22    -0.3    -1.2    -1.2 1
-1988  3 23     0.4    -0.5    -0.5 1
-1988  3 24    -0.5    -1.4    -1.4 1
-1988  3 25     0.0    -0.9    -0.9 1
-1988  3 26     1.3     0.4     0.4 1
-1988  3 27     2.1     1.2     1.2 1
-1988  3 28     2.2     1.3     1.3 1
-1988  3 29     2.6     1.7     1.7 1
-1988  3 30     1.6     0.7     0.7 1
-1988  3 31     2.6     1.7     1.7 1
-1988  4  1     5.1     4.2     4.2 1
-1988  4  2     4.6     3.7     3.7 1
-1988  4  3     2.8     1.9     1.9 1
-1988  4  4     5.0     4.1     4.1 1
-1988  4  5     7.4     6.5     6.5 1
-1988  4  6     7.4     6.6     6.6 1
-1988  4  7     7.9     7.1     7.1 1
-1988  4  8     4.8     4.0     4.0 1
-1988  4  9     0.6    -0.2    -0.2 1
-1988  4 10     0.4    -0.4    -0.4 1
-1988  4 11     0.6    -0.2    -0.2 1
-1988  4 12     2.6     1.8     1.8 1
-1988  4 13     2.4     1.6     1.6 1
-1988  4 14     2.1     1.3     1.3 1
-1988  4 15     6.5     5.7     5.7 1
-1988  4 16    10.5     9.7     9.7 1
-1988  4 17     7.9     7.1     7.1 1
-1988  4 18     3.5     2.6     2.6 1
-1988  4 19     3.6     2.7     2.7 1
-1988  4 20     1.8     0.9     0.9 1
-1988  4 21     1.2     0.3     0.3 1
-1988  4 22     0.6    -0.3    -0.3 1
-1988  4 23     0.2    -0.8    -0.8 1
-1988  4 24     0.3    -0.7    -0.7 1
-1988  4 25    -0.7    -1.7    -1.7 1
-1988  4 26     1.7     0.7     0.7 1
-1988  4 27     3.8     2.8     2.8 1
-1988  4 28     7.4     6.4     6.4 1
-1988  4 29     9.6     8.5     8.5 1
-1988  4 30     8.7     7.6     7.6 1
-1988  5  1     9.6     8.5     8.5 1
-1988  5  2    10.8     9.7     9.7 1
-1988  5  3    13.2    12.1    12.1 1
-1988  5  4    12.2    11.0    11.0 1
-1988  5  5     9.7     8.5     8.5 1
-1988  5  6     9.0     7.8     7.8 1
-1988  5  7    11.9    10.7    10.7 1
-1988  5  8    12.0    10.8    10.8 1
-1988  5  9     9.2     7.9     7.9 1
-1988  5 10     8.5     7.2     7.2 1
-1988  5 11     8.8     7.5     7.5 1
-1988  5 12    13.0    11.7    11.7 1
-1988  5 13    14.9    13.6    13.6 1
-1988  5 14    14.8    13.4    13.4 1
-1988  5 15    11.8    10.4    10.4 1
-1988  5 16    12.5    11.1    11.1 1
-1988  5 17    14.1    12.7    12.7 1
-1988  5 18    11.5    10.2    10.2 1
-1988  5 19    11.4    10.1    10.1 1
-1988  5 20    11.1     9.8     9.8 1
-1988  5 21     8.3     7.0     7.0 1
-1988  5 22     6.4     5.1     5.1 1
-1988  5 23     8.9     7.6     7.6 1
-1988  5 24    12.5    11.2    11.2 1
-1988  5 25    14.6    13.3    13.3 1
-1988  5 26    16.3    15.0    15.0 1
-1988  5 27    17.0    15.7    15.7 1
-1988  5 28    18.6    17.3    17.3 1
-1988  5 29    19.4    18.2    18.2 1
-1988  5 30    20.2    19.0    19.0 1
-1988  5 31    15.3    14.1    14.1 1
-1988  6  1     7.3     6.1     6.1 1
-1988  6  2     9.6     8.4     8.4 1
-1988  6  3    11.1     9.9     9.9 1
-1988  6  4    12.0    10.8    10.8 1
-1988  6  5    11.9    10.7    10.7 1
-1988  6  6    13.2    12.0    12.0 1
-1988  6  7    14.8    13.6    13.6 1
-1988  6  8    14.7    13.5    13.5 1
-1988  6  9    17.5    16.4    16.4 1
-1988  6 10    11.8    10.7    10.7 1
-1988  6 11    11.6    10.5    10.5 1
-1988  6 12    16.1    15.0    15.0 1
-1988  6 13    17.3    16.2    16.2 1
-1988  6 14    12.3    11.2    11.2 1
-1988  6 15    13.5    12.4    12.4 1
-1988  6 16    14.9    13.8    13.8 1
-1988  6 17    17.6    16.5    16.5 1
-1988  6 18    18.9    17.8    17.8 1
-1988  6 19    19.4    18.3    18.3 1
-1988  6 20    14.2    13.1    13.1 1
-1988  6 21    17.4    16.3    16.3 1
-1988  6 22    16.6    15.5    15.5 1
-1988  6 23    18.5    17.4    17.4 1
-1988  6 24    18.5    17.4    17.4 1
-1988  6 25    20.3    19.2    19.2 1
-1988  6 26    22.5    21.4    21.4 1
-1988  6 27    22.6    21.5    21.5 1
-1988  6 28    21.2    20.1    20.1 1
-1988  6 29    22.1    21.0    21.0 1
-1988  6 30    21.6    20.6    20.6 1
-1988  7  1    20.0    19.0    19.0 1
-1988  7  2    20.4    19.4    19.4 1
-1988  7  3    19.8    18.8    18.8 1
-1988  7  4    18.6    17.6    17.6 1
-1988  7  5    21.2    20.2    20.2 1
-1988  7  6    19.0    18.0    18.0 1
-1988  7  7    18.9    17.9    17.9 1
-1988  7  8    18.4    17.4    17.4 1
-1988  7  9    16.8    15.8    15.8 1
-1988  7 10    19.0    18.0    18.0 1
-1988  7 11    19.2    18.2    18.2 1
-1988  7 12    16.9    15.9    15.9 1
-1988  7 13    18.7    17.7    17.7 1
-1988  7 14    18.0    17.0    17.0 1
-1988  7 15    20.5    19.5    19.5 1
-1988  7 16    20.2    19.2    19.2 1
-1988  7 17    18.1    17.1    17.1 1
-1988  7 18    16.3    15.3    15.3 1
-1988  7 19    18.4    17.4    17.4 1
-1988  7 20    18.0    17.0    17.0 1
-1988  7 21    18.9    17.9    17.9 1
-1988  7 22    16.6    15.6    15.6 1
-1988  7 23    17.9    16.9    16.9 1
-1988  7 24    19.0    18.1    18.1 1
-1988  7 25    17.9    17.0    17.0 1
-1988  7 26    17.5    16.6    16.6 1
-1988  7 27    16.9    16.0    16.0 1
-1988  7 28    16.1    15.2    15.2 1
-1988  7 29    16.8    15.9    15.9 1
-1988  7 30    15.6    14.7    14.7 1
-1988  7 31    15.0    14.1    14.1 1
-1988  8  1    14.8    13.9    13.9 1
-1988  8  2    14.6    13.7    13.7 1
-1988  8  3    11.6    10.7    10.7 1
-1988  8  4    15.9    15.0    15.0 1
-1988  8  5    14.5    13.6    13.6 1
-1988  8  6    15.9    15.1    15.1 1
-1988  8  7    16.9    16.1    16.1 1
-1988  8  8    17.5    16.7    16.7 1
-1988  8  9    17.4    16.6    16.6 1
-1988  8 10    16.1    15.3    15.3 1
-1988  8 11    16.3    15.5    15.5 1
-1988  8 12    16.9    16.1    16.1 1
-1988  8 13    15.8    15.0    15.0 1
-1988  8 14    16.7    15.9    15.9 1
-1988  8 15    15.4    14.6    14.6 1
-1988  8 16    15.6    14.8    14.8 1
-1988  8 17    15.5    14.8    14.8 1
-1988  8 18    14.4    13.7    13.7 1
-1988  8 19    14.1    13.4    13.4 1
-1988  8 20    17.0    16.3    16.3 1
-1988  8 21    16.7    16.0    16.0 1
-1988  8 22    16.1    15.4    15.4 1
-1988  8 23    16.1    15.4    15.4 1
-1988  8 24    13.7    13.1    13.1 1
-1988  8 25    15.5    14.9    14.9 1
-1988  8 26    15.1    14.5    14.5 1
-1988  8 27    14.5    13.9    13.9 1
-1988  8 28    16.7    16.1    16.1 1
-1988  8 29    15.6    15.0    15.0 1
-1988  8 30    14.9    14.4    14.4 1
-1988  8 31    15.9    15.4    15.4 1
-1988  9  1    16.1    15.6    15.6 1
-1988  9  2    16.1    15.6    15.6 1
-1988  9  3    17.1    16.6    16.6 1
-1988  9  4    15.1    14.6    14.6 1
-1988  9  5    14.8    14.3    14.3 1
-1988  9  6    15.3    14.9    14.9 1
-1988  9  7    15.9    15.5    15.5 1
-1988  9  8    16.5    16.1    16.1 1
-1988  9  9    16.2    15.8    15.8 1
-1988  9 10    16.1    15.7    15.7 1
-1988  9 11    15.1    14.7    14.7 1
-1988  9 12    12.8    12.5    12.5 1
-1988  9 13    12.0    11.7    11.7 1
-1988  9 14    11.3    11.0    11.0 1
-1988  9 15    12.7    12.4    12.4 1
-1988  9 16    14.0    13.7    13.7 1
-1988  9 17    12.3    12.0    12.0 1
-1988  9 18    10.9    10.6    10.6 1
-1988  9 19    14.2    13.9    13.9 1
-1988  9 20    15.8    15.5    15.5 1
-1988  9 21    11.8    11.5    11.5 1
-1988  9 22    11.7    11.4    11.4 1
-1988  9 23    13.8    13.5    13.5 1
-1988  9 24    11.8    11.5    11.5 1
-1988  9 25    12.0    11.7    11.7 1
-1988  9 26    10.4    10.1    10.1 1
-1988  9 27    12.1    11.8    11.8 1
-1988  9 28    12.3    12.0    12.0 1
-1988  9 29    10.8    10.5    10.5 1
-1988  9 30    10.4    10.1    10.1 1
-1988 10  1     9.2     8.9     8.9 1
-1988 10  2    10.9    10.6    10.6 1
-1988 10  3    10.5    10.2    10.2 1
-1988 10  4    10.7    10.4    10.4 1
-1988 10  5    10.4    10.1    10.1 1
-1988 10  6    11.1    10.8    10.8 1
-1988 10  7     9.3     9.0     9.0 1
-1988 10  8     8.4     8.1     8.1 1
-1988 10  9     7.9     7.6     7.6 1
-1988 10 10     9.1     8.9     8.9 1
-1988 10 11     4.9     4.7     4.7 1
-1988 10 12     5.6     5.4     5.4 1
-1988 10 13     9.5     9.3     9.3 1
-1988 10 14    10.5    10.3    10.3 1
-1988 10 15     8.6     8.4     8.4 1
-1988 10 16     8.9     8.7     8.7 1
-1988 10 17     9.6     9.3     9.3 1
-1988 10 18     9.0     8.7     8.7 1
-1988 10 19     8.5     8.2     8.2 1
-1988 10 20     6.9     6.6     6.6 1
-1988 10 21     4.9     4.6     4.6 1
-1988 10 22     5.3     5.0     5.0 1
-1988 10 23     6.1     5.8     5.8 1
-1988 10 24    -0.9    -1.2    -1.2 1
-1988 10 25    -0.9    -1.2    -1.2 1
-1988 10 26     1.5     1.2     1.2 1
-1988 10 27     6.3     6.0     6.0 1
-1988 10 28     8.9     8.6     8.6 1
-1988 10 29    -0.9    -1.2    -1.2 1
-1988 10 30    -2.6    -3.0    -3.0 1
-1988 10 31    -1.2    -1.6    -1.6 1
-1988 11  1     0.6     0.2     0.2 1
-1988 11  2    -2.8    -3.2    -3.2 1
-1988 11  3     0.3    -0.1    -0.1 1
-1988 11  4     3.3     2.9     2.9 1
-1988 11  5     3.1     2.7     2.7 1
-1988 11  6     2.1     1.7     1.7 1
-1988 11  7     0.8     0.4     0.4 1
-1988 11  8    -2.0    -2.4    -2.4 1
-1988 11  9     0.1    -0.3    -0.3 1
-1988 11 10     2.3     1.9     1.9 1
-1988 11 11     5.4     5.0     5.0 1
-1988 11 12     4.8     4.4     4.4 1
-1988 11 13     5.0     4.5     4.5 1
-1988 11 14     1.5     1.0     1.0 1
-1988 11 15    -0.2    -0.7    -0.7 1
-1988 11 16     2.8     2.3     2.3 1
-1988 11 17     3.2     2.7     2.7 1
-1988 11 18    -1.1    -1.6    -1.6 1
-1988 11 19    -5.7    -6.2    -6.2 1
-1988 11 20    -6.7    -7.2    -7.2 1
-1988 11 21    -8.0    -8.5    -8.5 1
-1988 11 22    -1.1    -1.6    -1.6 1
-1988 11 23     0.2    -0.3    -0.3 1
-1988 11 24     1.4     0.9     0.9 1
-1988 11 25     3.5     3.0     3.0 1
-1988 11 26    -1.4    -1.9    -1.9 1
-1988 11 27    -3.8    -4.3    -4.3 1
-1988 11 28    -3.5    -4.0    -4.0 1
-1988 11 29    -3.8    -4.3    -4.3 1
-1988 11 30    -9.6   -10.1   -10.1 1
-1988 12  1   -10.3   -10.8   -10.8 1
-1988 12  2    -9.1    -9.6    -9.6 1
-1988 12  3    -5.4    -5.9    -5.9 1
-1988 12  4    -0.8    -1.3    -1.3 1
-1988 12  5     0.3    -0.2    -0.2 1
-1988 12  6    -1.9    -2.5    -2.5 1
-1988 12  7    -1.1    -1.7    -1.7 1
-1988 12  8    -1.3    -1.9    -1.9 1
-1988 12  9    -0.3    -0.9    -0.9 1
-1988 12 10    -4.1    -4.7    -4.7 1
-1988 12 11    -2.4    -3.0    -3.0 1
-1988 12 12    -4.3    -4.9    -4.9 1
-1988 12 13    -0.5    -1.1    -1.1 1
-1988 12 14    -2.1    -2.7    -2.7 1
-1988 12 15    -5.3    -5.9    -5.9 1
-1988 12 16     0.4    -0.2    -0.2 1
-1988 12 17     1.0     0.4     0.4 1
-1988 12 18    -3.6    -4.2    -4.2 1
-1988 12 19    -2.9    -3.5    -3.5 1
-1988 12 20    -9.7   -10.3   -10.3 1
-1988 12 21    -0.3    -0.9    -0.9 1
-1988 12 22     1.9     1.3     1.3 1
-1988 12 23     2.2     1.6     1.6 1
-1988 12 24    -0.2    -0.8    -0.8 1
-1988 12 25    -7.1    -7.8    -7.8 1
-1988 12 26    -1.5    -2.2    -2.2 1
-1988 12 27     0.7     0.0     0.0 1
-1988 12 28     0.8     0.1     0.1 1
-1988 12 29     6.0     5.3     5.3 1
-1988 12 30     3.7     3.0     3.0 1
-1988 12 31     2.9     2.2     2.2 1
-1989  1  1    -1.6    -2.3    -2.3 1
-1989  1  2     2.4     1.7     1.7 1
-1989  1  3     4.2     3.5     3.5 1
-1989  1  4     3.0     2.3     2.3 1
-1989  1  5     3.7     3.0     3.0 1
-1989  1  6    -0.1    -0.8    -0.8 1
-1989  1  7     0.3    -0.4    -0.4 1
-1989  1  8    -0.5    -1.2    -1.2 1
-1989  1  9     3.9     3.2     3.2 1
-1989  1 10     2.3     1.6     1.6 1
-1989  1 11     0.4    -0.4    -0.4 1
-1989  1 12     2.9     2.1     2.1 1
-1989  1 13     3.4     2.6     2.6 1
-1989  1 14     2.8     2.0     2.0 1
-1989  1 15     6.6     5.8     5.8 1
-1989  1 16     6.6     5.8     5.8 1
-1989  1 17     5.4     4.6     4.6 1
-1989  1 18     1.2     0.4     0.4 1
-1989  1 19     3.6     2.8     2.8 1
-1989  1 20     6.0     5.2     5.2 1
-1989  1 21     3.7     2.9     2.9 1
-1989  1 22     2.3     1.5     1.5 1
-1989  1 23    -0.1    -0.9    -0.9 1
-1989  1 24     4.5     3.7     3.7 1
-1989  1 25     5.5     4.7     4.7 1
-1989  1 26     1.7     0.9     0.9 1
-1989  1 27     3.8     3.0     3.0 1
-1989  1 28     6.2     5.4     5.4 1
-1989  1 29     4.0     3.2     3.2 1
-1989  1 30     6.8     6.0     6.0 1
-1989  1 31     3.5     2.7     2.7 1
-1989  2  1     3.4     2.6     2.6 1
-1989  2  2     4.7     3.9     3.9 1
-1989  2  3     7.4     6.6     6.6 1
-1989  2  4     7.8     7.0     7.0 1
-1989  2  5     5.0     4.2     4.2 1
-1989  2  6     6.2     5.4     5.4 1
-1989  2  7     9.5     8.7     8.7 1
-1989  2  8     5.0     4.2     4.2 1
-1989  2  9     1.2     0.4     0.4 1
-1989  2 10     1.5     0.7     0.7 1
-1989  2 11     3.3     2.5     2.5 1
-1989  2 12     3.9     3.1     3.1 1
-1989  2 13     2.2     1.4     1.4 1
-1989  2 14     2.5     1.7     1.7 1
-1989  2 15     1.3     0.5     0.5 1
-1989  2 16     0.5    -0.4    -0.4 1
-1989  2 17     0.4    -0.5    -0.5 1
-1989  2 18    -0.4    -1.3    -1.3 1
-1989  2 19     3.7     2.8     2.8 1
-1989  2 20     3.1     2.2     2.2 1
-1989  2 21     1.6     0.7     0.7 1
-1989  2 22     1.2     0.3     0.3 1
-1989  2 23     1.7     0.8     0.8 1
-1989  2 24     1.6     0.7     0.7 1
-1989  2 25     1.5     0.6     0.6 1
-1989  2 26     5.0     4.1     4.1 1
-1989  2 27     4.4     3.5     3.5 1
-1989  2 28     2.9     2.0     2.0 1
-1989  3  1     2.8     1.9     1.9 1
-1989  3  2     2.9     2.0     2.0 1
-1989  3  3     1.3     0.4     0.4 1
-1989  3  4     1.6     0.7     0.7 1
-1989  3  5     2.7     1.8     1.8 1
-1989  3  6     4.6     3.7     3.7 1
-1989  3  7     2.1     1.2     1.2 1
-1989  3  8     2.1     1.2     1.2 1
-1989  3  9     1.6     0.7     0.7 1
-1989  3 10     2.5     1.6     1.6 1
-1989  3 11     4.8     3.9     3.9 1
-1989  3 12     3.5     2.6     2.6 1
-1989  3 13     2.3     1.3     1.3 1
-1989  3 14     4.9     3.9     3.9 1
-1989  3 15     3.5     2.5     2.5 1
-1989  3 16     2.3     1.3     1.3 1
-1989  3 17     2.2     1.3     1.3 1
-1989  3 18     1.9     1.0     1.0 1
-1989  3 19     4.5     3.6     3.6 1
-1989  3 20     5.4     4.5     4.5 1
-1989  3 21     6.3     5.4     5.4 1
-1989  3 22     4.8     3.9     3.9 1
-1989  3 23     3.8     2.9     2.9 1
-1989  3 24     1.6     0.7     0.7 1
-1989  3 25     3.5     2.6     2.6 1
-1989  3 26     3.6     2.7     2.7 1
-1989  3 27     3.8     2.9     2.9 1
-1989  3 28     6.8     5.9     5.9 1
-1989  3 29     6.9     6.0     6.0 1
-1989  3 30     4.8     3.9     3.9 1
-1989  3 31     3.5     2.6     2.6 1
-1989  4  1    -0.6    -1.5    -1.5 1
-1989  4  2    -1.1    -2.0    -2.0 1
-1989  4  3    -1.6    -2.5    -2.5 1
-1989  4  4    -0.4    -1.3    -1.3 1
-1989  4  5     0.5    -0.4    -0.4 1
-1989  4  6     2.6     1.8     1.8 1
-1989  4  7     2.2     1.4     1.4 1
-1989  4  8     4.3     3.5     3.5 1
-1989  4  9     5.4     4.6     4.6 1
-1989  4 10     7.3     6.5     6.5 1
-1989  4 11     6.5     5.7     5.7 1
-1989  4 12     9.9     9.1     9.1 1
-1989  4 13    10.8    10.0    10.0 1
-1989  4 14    11.6    10.8    10.8 1
-1989  4 15     7.0     6.2     6.2 1
-1989  4 16     5.6     4.8     4.8 1
-1989  4 17     3.1     2.3     2.3 1
-1989  4 18     4.5     3.6     3.6 1
-1989  4 19     4.0     3.1     3.1 1
-1989  4 20     7.7     6.8     6.8 1
-1989  4 21     7.5     6.6     6.6 1
-1989  4 22     9.2     8.3     8.3 1
-1989  4 23     4.5     3.5     3.5 1
-1989  4 24     4.3     3.3     3.3 1
-1989  4 25     6.6     5.6     5.6 1
-1989  4 26     9.7     8.7     8.7 1
-1989  4 27    10.0     9.0     9.0 1
-1989  4 28     7.8     6.8     6.8 1
-1989  4 29     8.4     7.3     7.3 1
-1989  4 30     8.8     7.7     7.7 1
-1989  5  1    10.8     9.7     9.7 1
-1989  5  2    11.2    10.1    10.1 1
-1989  5  3    14.7    13.6    13.6 1
-1989  5  4    12.3    11.1    11.1 1
-1989  5  5    10.1     8.9     8.9 1
-1989  5  6    10.0     8.8     8.8 1
-1989  5  7    10.9     9.7     9.7 1
-1989  5  8    11.3    10.1    10.1 1
-1989  5  9    10.9     9.6     9.6 1
-1989  5 10     9.8     8.5     8.5 1
-1989  5 11     8.5     7.2     7.2 1
-1989  5 12     8.5     7.2     7.2 1
-1989  5 13    11.1     9.8     9.8 1
-1989  5 14     9.6     8.2     8.2 1
-1989  5 15    12.8    11.4    11.4 1
-1989  5 16    16.0    14.6    14.6 1
-1989  5 17    13.9    12.5    12.5 1
-1989  5 18    14.1    12.8    12.8 1
-1989  5 19    15.7    14.4    14.4 1
-1989  5 20    13.0    11.7    11.7 1
-1989  5 21    11.1     9.8     9.8 1
-1989  5 22    14.1    12.8    12.8 1
-1989  5 23    19.0    17.7    17.7 1
-1989  5 24    20.5    19.2    19.2 1
-1989  5 25    20.8    19.5    19.5 1
-1989  5 26    16.5    15.2    15.2 1
-1989  5 27    11.5    10.2    10.2 1
-1989  5 28    13.3    12.0    12.0 1
-1989  5 29    13.1    11.9    11.9 1
-1989  5 30    11.9    10.7    10.7 1
-1989  5 31     9.0     7.8     7.8 1
-1989  6  1     9.5     8.3     8.3 1
-1989  6  2    12.3    11.1    11.1 1
-1989  6  3    10.3     9.1     9.1 1
-1989  6  4    10.1     8.9     8.9 1
-1989  6  5    12.9    11.7    11.7 1
-1989  6  6    14.0    12.8    12.8 1
-1989  6  7    12.1    10.9    10.9 1
-1989  6  8    13.3    12.1    12.1 1
-1989  6  9    14.0    12.9    12.9 1
-1989  6 10    15.3    14.2    14.2 1
-1989  6 11    16.5    15.4    15.4 1
-1989  6 12    17.7    16.6    16.6 1
-1989  6 13    16.2    15.1    15.1 1
-1989  6 14    16.0    14.9    14.9 1
-1989  6 15    12.1    11.0    11.0 1
-1989  6 16    13.0    11.9    11.9 1
-1989  6 17    18.3    17.2    17.2 1
-1989  6 18    16.2    15.1    15.1 1
-1989  6 19    18.1    17.0    17.0 1
-1989  6 20    20.8    19.7    19.7 1
-1989  6 21    18.7    17.6    17.6 1
-1989  6 22    21.8    20.7    20.7 1
-1989  6 23    22.4    21.3    21.3 1
-1989  6 24    17.9    16.8    16.8 1
-1989  6 25    18.5    17.4    17.4 1
-1989  6 26    21.2    20.1    20.1 1
-1989  6 27    21.5    20.4    20.4 1
-1989  6 28    20.5    19.4    19.4 1
-1989  6 29    17.0    15.9    15.9 1
-1989  6 30    16.2    15.2    15.2 1
-1989  7  1    16.5    15.5    15.5 1
-1989  7  2    16.8    15.8    15.8 1
-1989  7  3    18.3    17.3    17.3 1
-1989  7  4    22.0    21.0    21.0 1
-1989  7  5    23.3    22.3    22.3 1
-1989  7  6    20.9    19.9    19.9 1
-1989  7  7    24.5    23.5    23.5 1
-1989  7  8    25.8    24.8    24.8 1
-1989  7  9    19.8    18.8    18.8 1
-1989  7 10    12.9    11.9    11.9 1
-1989  7 11    17.7    16.7    16.7 1
-1989  7 12    17.4    16.4    16.4 1
-1989  7 13    17.9    16.9    16.9 1
-1989  7 14    14.9    13.9    13.9 1
-1989  7 15    13.8    12.8    12.8 1
-1989  7 16    13.0    12.0    12.0 1
-1989  7 17    12.3    11.3    11.3 1
-1989  7 18    13.1    12.1    12.1 1
-1989  7 19    14.5    13.5    13.5 1
-1989  7 20    16.1    15.1    15.1 1
-1989  7 21    16.7    15.7    15.7 1
-1989  7 22    18.6    17.6    17.6 1
-1989  7 23    20.9    19.9    19.9 1
-1989  7 24    22.4    21.5    21.5 1
-1989  7 25    21.3    20.4    20.4 1
-1989  7 26    21.5    20.6    20.6 1
-1989  7 27    22.0    21.1    21.1 1
-1989  7 28    19.3    18.4    18.4 1
-1989  7 29    18.8    17.9    17.9 1
-1989  7 30    18.6    17.7    17.7 1
-1989  7 31    17.9    17.0    17.0 1
-1989  8  1    14.8    13.9    13.9 1
-1989  8  2    16.9    16.0    16.0 1
-1989  8  3    14.3    13.4    13.4 1
-1989  8  4    15.1    14.2    14.2 1
-1989  8  5    16.7    15.8    15.8 1
-1989  8  6    17.9    17.1    17.1 1
-1989  8  7    18.5    17.7    17.7 1
-1989  8  8    19.1    18.3    18.3 1
-1989  8  9    18.2    17.4    17.4 1
-1989  8 10    18.8    18.0    18.0 1
-1989  8 11    18.3    17.5    17.5 1
-1989  8 12    17.3    16.5    16.5 1
-1989  8 13    16.6    15.8    15.8 1
-1989  8 14    17.1    16.3    16.3 1
-1989  8 15    17.0    16.2    16.2 1
-1989  8 16    20.4    19.6    19.6 1
-1989  8 17    17.9    17.2    17.2 1
-1989  8 18    15.4    14.7    14.7 1
-1989  8 19    16.5    15.8    15.8 1
-1989  8 20    17.2    16.5    16.5 1
-1989  8 21    21.1    20.4    20.4 1
-1989  8 22    17.2    16.5    16.5 1
-1989  8 23    16.6    15.9    15.9 1
-1989  8 24    13.4    12.8    12.8 1
-1989  8 25    10.2     9.6     9.6 1
-1989  8 26    10.8    10.2    10.2 1
-1989  8 27    10.5     9.9     9.9 1
-1989  8 28    10.9    10.3    10.3 1
-1989  8 29    12.3    11.7    11.7 1
-1989  8 30    13.1    12.6    12.6 1
-1989  8 31    15.3    14.8    14.8 1
-1989  9  1    14.7    14.2    14.2 1
-1989  9  2    13.5    13.0    13.0 1
-1989  9  3    14.1    13.6    13.6 1
-1989  9  4    12.7    12.2    12.2 1
-1989  9  5    15.2    14.7    14.7 1
-1989  9  6    15.6    15.2    15.2 1
-1989  9  7    15.5    15.1    15.1 1
-1989  9  8    14.3    13.9    13.9 1
-1989  9  9    11.9    11.5    11.5 1
-1989  9 10    11.5    11.1    11.1 1
-1989  9 11    10.4    10.0    10.0 1
-1989  9 12    13.3    13.0    13.0 1
-1989  9 13    15.1    14.8    14.8 1
-1989  9 14    13.9    13.6    13.6 1
-1989  9 15    13.2    12.9    12.9 1
-1989  9 16    12.0    11.7    11.7 1
-1989  9 17    11.8    11.5    11.5 1
-1989  9 18    12.7    12.4    12.4 1
-1989  9 19    15.7    15.4    15.4 1
-1989  9 20    15.0    14.7    14.7 1
-1989  9 21    16.7    16.4    16.4 1
-1989  9 22    16.0    15.7    15.7 1
-1989  9 23    14.6    14.3    14.3 1
-1989  9 24    14.7    14.4    14.4 1
-1989  9 25    12.0    11.7    11.7 1
-1989  9 26    14.4    14.1    14.1 1
-1989  9 27    14.3    14.0    14.0 1
-1989  9 28    11.2    10.9    10.9 1
-1989  9 29     7.9     7.6     7.6 1
-1989  9 30     7.7     7.4     7.4 1
-1989 10  1     7.2     6.9     6.9 1
-1989 10  2     7.2     6.9     6.9 1
-1989 10  3     7.3     7.0     7.0 1
-1989 10  4     8.2     7.9     7.9 1
-1989 10  5     9.8     9.5     9.5 1
-1989 10  6     9.8     9.5     9.5 1
-1989 10  7     8.1     7.8     7.8 1
-1989 10  8     6.9     6.6     6.6 1
-1989 10  9     8.0     7.7     7.7 1
-1989 10 10     6.3     6.1     6.1 1
-1989 10 11     5.5     5.3     5.3 1
-1989 10 12     4.0     3.8     3.8 1
-1989 10 13     8.0     7.8     7.8 1
-1989 10 14     7.3     7.1     7.1 1
-1989 10 15     5.0     4.8     4.8 1
-1989 10 16     5.0     4.8     4.8 1
-1989 10 17     7.5     7.2     7.2 1
-1989 10 18     6.3     6.0     6.0 1
-1989 10 19     9.4     9.1     9.1 1
-1989 10 20    10.6    10.3    10.3 1
-1989 10 21    10.9    10.6    10.6 1
-1989 10 22    11.3    11.0    11.0 1
-1989 10 23    12.0    11.7    11.7 1
-1989 10 24    10.0     9.7     9.7 1
-1989 10 25     9.7     9.4     9.4 1
-1989 10 26    10.0     9.7     9.7 1
-1989 10 27     6.5     6.2     6.2 1
-1989 10 28     8.3     8.0     8.0 1
-1989 10 29     8.3     8.0     8.0 1
-1989 10 30     8.1     7.7     7.7 1
-1989 10 31     6.2     5.8     5.8 1
-1989 11  1     6.0     5.6     5.6 1
-1989 11  2     6.7     6.3     6.3 1
-1989 11  3     7.7     7.3     7.3 1
-1989 11  4     7.6     7.2     7.2 1
-1989 11  5     5.4     5.0     5.0 1
-1989 11  6     7.0     6.6     6.6 1
-1989 11  7     8.9     8.5     8.5 1
-1989 11  8     5.3     4.9     4.9 1
-1989 11  9     7.1     6.7     6.7 1
-1989 11 10     6.4     6.0     6.0 1
-1989 11 11     8.5     8.1     8.1 1
-1989 11 12     9.8     9.4     9.4 1
-1989 11 13     6.3     5.8     5.8 1
-1989 11 14     4.1     3.6     3.6 1
-1989 11 15     2.7     2.2     2.2 1
-1989 11 16     1.8     1.3     1.3 1
-1989 11 17     3.2     2.7     2.7 1
-1989 11 18     3.6     3.1     3.1 1
-1989 11 19     2.3     1.8     1.8 1
-1989 11 20     1.9     1.4     1.4 1
-1989 11 21    -0.7    -1.2    -1.2 1
-1989 11 22    -1.8    -2.3    -2.3 1
-1989 11 23    -4.5    -5.0    -5.0 1
-1989 11 24    -6.0    -6.5    -6.5 1
-1989 11 25    -5.7    -6.2    -6.2 1
-1989 11 26    -2.3    -2.8    -2.8 1
-1989 11 27    -2.5    -3.0    -3.0 1
-1989 11 28    -4.2    -4.7    -4.7 1
-1989 11 29    -1.1    -1.6    -1.6 1
-1989 11 30     0.7     0.2     0.2 1
-1989 12  1     0.6     0.1     0.1 1
-1989 12  2     1.5     1.0     1.0 1
-1989 12  3     3.8     3.3     3.3 1
-1989 12  4     0.8     0.3     0.3 1
-1989 12  5    -1.7    -2.3    -2.3 1
-1989 12  6     2.7     2.1     2.1 1
-1989 12  7    -2.0    -2.6    -2.6 1
-1989 12  8    -4.8    -5.4    -5.4 1
-1989 12  9    -8.5    -9.1    -9.1 1
-1989 12 10    -3.8    -4.4    -4.4 1
-1989 12 11    -3.7    -4.3    -4.3 1
-1989 12 12    -4.3    -4.9    -4.9 1
-1989 12 13    -8.7    -9.3    -9.3 1
-1989 12 14   -15.3   -15.9   -15.9 1
-1989 12 15   -17.0   -17.6   -17.6 1
-1989 12 16    -7.3    -7.9    -7.9 1
-1989 12 17    -2.2    -2.8    -2.8 1
-1989 12 18     3.6     3.0     3.0 1
-1989 12 19     4.1     3.5     3.5 1
-1989 12 20    -0.4    -1.0    -1.0 1
-1989 12 21     2.5     1.9     1.9 1
-1989 12 22     0.4    -0.2    -0.2 1
-1989 12 23     0.8     0.2     0.2 1
-1989 12 24     0.7     0.1     0.1 1
-1989 12 25     4.1     3.4     3.4 1
-1989 12 26     3.8     3.1     3.1 1
-1989 12 27     3.0     2.3     2.3 1
-1989 12 28     1.1     0.4     0.4 1
-1989 12 29    -2.1    -2.8    -2.8 1
-1989 12 30    -1.5    -2.2    -2.2 1
-1989 12 31     0.0    -0.7    -0.7 1
-1990  1  1    -2.9    -3.6    -3.6 1
-1990  1  2    -4.3    -5.0    -5.0 1
-1990  1  3    -3.6    -4.3    -4.3 1
-1990  1  4    -0.2    -0.9    -0.9 1
-1990  1  5    -0.4    -1.1    -1.1 1
-1990  1  6    -1.8    -2.5    -2.5 1
-1990  1  7     0.3    -0.4    -0.4 1
-1990  1  8     2.6     1.9     1.9 1
-1990  1  9     2.4     1.7     1.7 1
-1990  1 10     2.8     2.1     2.1 1
-1990  1 11     5.0     4.2     4.2 1
-1990  1 12     0.7    -0.1    -0.1 1
-1990  1 13     4.1     3.3     3.3 1
-1990  1 14    -1.3    -2.1    -2.1 1
-1990  1 15     1.8     1.0     1.0 1
-1990  1 16     4.0     3.2     3.2 1
-1990  1 17     4.4     3.6     3.6 1
-1990  1 18     2.1     1.3     1.3 1
-1990  1 19    -0.6    -1.4    -1.4 1
-1990  1 20     2.5     1.7     1.7 1
-1990  1 21     0.7    -0.1    -0.1 1
-1990  1 22     1.6     0.8     0.8 1
-1990  1 23     4.0     3.2     3.2 1
-1990  1 24     3.5     2.7     2.7 1
-1990  1 25     2.3     1.5     1.5 1
-1990  1 26     1.9     1.1     1.1 1
-1990  1 27    -3.4    -4.2    -4.2 1
-1990  1 28     1.2     0.4     0.4 1
-1990  1 29     3.8     3.0     3.0 1
-1990  1 30     3.1     2.3     2.3 1
-1990  1 31     4.2     3.4     3.4 1
-1990  2  1     4.7     3.9     3.9 1
-1990  2  2     4.3     3.5     3.5 1
-1990  2  3     3.7     2.9     2.9 1
-1990  2  4     3.4     2.6     2.6 1
-1990  2  5     7.2     6.4     6.4 1
-1990  2  6     7.6     6.8     6.8 1
-1990  2  7     5.2     4.4     4.4 1
-1990  2  8     4.7     3.9     3.9 1
-1990  2  9     2.5     1.7     1.7 1
-1990  2 10     5.9     5.1     5.1 1
-1990  2 11     3.4     2.6     2.6 1
-1990  2 12     2.7     1.9     1.9 1
-1990  2 13     3.1     2.3     2.3 1
-1990  2 14     1.4     0.6     0.6 1
-1990  2 15     0.2    -0.6    -0.6 1
-1990  2 16    -0.9    -1.8    -1.8 1
-1990  2 17    -1.9    -2.8    -2.8 1
-1990  2 18     2.3     1.4     1.4 1
-1990  2 19     3.8     2.9     2.9 1
-1990  2 20     9.3     8.4     8.4 1
-1990  2 21     9.1     8.2     8.2 1
-1990  2 22     7.5     6.6     6.6 1
-1990  2 23     9.6     8.7     8.7 1
-1990  2 24     8.6     7.7     7.7 1
-1990  2 25     5.7     4.8     4.8 1
-1990  2 26     3.8     2.9     2.9 1
-1990  2 27     1.7     0.8     0.8 1
-1990  2 28     0.9     0.0     0.0 1
-1990  3  1     0.4    -0.5    -0.5 1
-1990  3  2    -0.4    -1.3    -1.3 1
-1990  3  3    -1.4    -2.3    -2.3 1
-1990  3  4     3.3     2.4     2.4 1
-1990  3  5     3.7     2.8     2.8 1
-1990  3  6     3.0     2.1     2.1 1
-1990  3  7     1.5     0.6     0.6 1
-1990  3  8     5.9     5.0     5.0 1
-1990  3  9     2.9     2.0     2.0 1
-1990  3 10     0.8    -0.1    -0.1 1
-1990  3 11    -0.3    -1.2    -1.2 1
-1990  3 12     3.0     2.1     2.1 1
-1990  3 13    -0.9    -1.9    -1.9 1
-1990  3 14     0.9    -0.1    -0.1 1
-1990  3 15     5.9     4.9     4.9 1
-1990  3 16     9.0     8.0     8.0 1
-1990  3 17    10.9    10.0    10.0 1
-1990  3 18    12.0    11.1    11.1 1
-1990  3 19    11.9    11.0    11.0 1
-1990  3 20     7.2     6.3     6.3 1
-1990  3 21     5.4     4.5     4.5 1
-1990  3 22     8.0     7.1     7.1 1
-1990  3 23     6.1     5.2     5.2 1
-1990  3 24     8.3     7.4     7.4 1
-1990  3 25     5.2     4.3     4.3 1
-1990  3 26     3.4     2.5     2.5 1
-1990  3 27     4.0     3.1     3.1 1
-1990  3 28     4.1     3.2     3.2 1
-1990  3 29     6.6     5.7     5.7 1
-1990  3 30     8.8     7.9     7.9 1
-1990  3 31    10.4     9.5     9.5 1
-1990  4  1     9.5     8.6     8.6 1
-1990  4  2     4.6     3.7     3.7 1
-1990  4  3     8.2     7.3     7.3 1
-1990  4  4     3.3     2.4     2.4 1
-1990  4  5     2.6     1.7     1.7 1
-1990  4  6     4.3     3.5     3.5 1
-1990  4  7    -0.1    -0.9    -0.9 1
-1990  4  8     1.8     1.0     1.0 1
-1990  4  9     6.1     5.3     5.3 1
-1990  4 10     4.7     3.9     3.9 1
-1990  4 11     3.8     3.0     3.0 1
-1990  4 12     4.7     3.9     3.9 1
-1990  4 13     7.1     6.3     6.3 1
-1990  4 14     6.9     6.1     6.1 1
-1990  4 15     8.7     7.9     7.9 1
-1990  4 16     8.0     7.2     7.2 1
-1990  4 17     7.0     6.2     6.2 1
-1990  4 18     7.5     6.6     6.6 1
-1990  4 19     7.8     6.9     6.9 1
-1990  4 20     9.1     8.2     8.2 1
-1990  4 21     9.5     8.6     8.6 1
-1990  4 22     9.6     8.7     8.7 1
-1990  4 23    10.9     9.9     9.9 1
-1990  4 24    11.7    10.7    10.7 1
-1990  4 25    12.2    11.2    11.2 1
-1990  4 26    11.4    10.4    10.4 1
-1990  4 27     7.1     6.1     6.1 1
-1990  4 28     7.4     6.4     6.4 1
-1990  4 29     9.8     8.7     8.7 1
-1990  4 30    16.5    15.4    15.4 1
-1990  5  1    15.1    14.0    14.0 1
-1990  5  2    17.0    15.9    15.9 1
-1990  5  3    18.9    17.8    17.8 1
-1990  5  4    17.3    16.1    16.1 1
-1990  5  5    20.4    19.2    19.2 1
-1990  5  6    18.3    17.1    17.1 1
-1990  5  7    15.2    14.0    14.0 1
-1990  5  8    13.5    12.3    12.3 1
-1990  5  9    14.9    13.6    13.6 1
-1990  5 10    16.9    15.6    15.6 1
-1990  5 11     9.1     7.8     7.8 1
-1990  5 12     8.9     7.6     7.6 1
-1990  5 13    11.3    10.0    10.0 1
-1990  5 14    10.8     9.4     9.4 1
-1990  5 15    11.9    10.5    10.5 1
-1990  5 16     8.8     7.4     7.4 1
-1990  5 17     7.3     5.9     5.9 1
-1990  5 18     7.3     6.0     6.0 1
-1990  5 19     7.9     6.6     6.6 1
-1990  5 20     9.9     8.6     8.6 1
-1990  5 21    11.5    10.2    10.2 1
-1990  5 22     8.7     7.4     7.4 1
-1990  5 23    11.3    10.0    10.0 1
-1990  5 24    11.2     9.9     9.9 1
-1990  5 25     7.9     6.6     6.6 1
-1990  5 26     5.7     4.4     4.4 1
-1990  5 27     8.1     6.8     6.8 1
-1990  5 28     9.5     8.2     8.2 1
-1990  5 29    10.9     9.7     9.7 1
-1990  5 30    13.0    11.8    11.8 1
-1990  5 31    15.3    14.1    14.1 1
-1990  6  1    16.3    15.1    15.1 1
-1990  6  2    13.6    12.4    12.4 1
-1990  6  3    17.1    15.9    15.9 1
-1990  6  4    17.4    16.2    16.2 1
-1990  6  5    13.8    12.6    12.6 1
-1990  6  6    11.7    10.5    10.5 1
-1990  6  7    11.9    10.7    10.7 1
-1990  6  8    14.1    12.9    12.9 1
-1990  6  9    14.4    13.3    13.3 1
-1990  6 10    16.5    15.4    15.4 1
-1990  6 11    17.7    16.6    16.6 1
-1990  6 12    15.9    14.8    14.8 1
-1990  6 13    15.2    14.1    14.1 1
-1990  6 14    12.9    11.8    11.8 1
-1990  6 15    13.6    12.5    12.5 1
-1990  6 16    14.6    13.5    13.5 1
-1990  6 17    11.1    10.0    10.0 1
-1990  6 18    12.1    11.0    11.0 1
-1990  6 19    15.3    14.2    14.2 1
-1990  6 20    15.8    14.7    14.7 1
-1990  6 21    17.7    16.6    16.6 1
-1990  6 22    16.6    15.5    15.5 1
-1990  6 23    17.2    16.1    16.1 1
-1990  6 24    15.3    14.2    14.2 1
-1990  6 25    19.2    18.1    18.1 1
-1990  6 26    17.9    16.8    16.8 1
-1990  6 27    18.7    17.6    17.6 1
-1990  6 28    17.1    16.0    16.0 1
-1990  6 29    17.3    16.2    16.2 1
-1990  6 30    16.9    15.9    15.9 1
-1990  7  1    15.6    14.6    14.6 1
-1990  7  2    16.1    15.1    15.1 1
-1990  7  3    15.6    14.6    14.6 1
-1990  7  4    16.8    15.8    15.8 1
-1990  7  5    16.1    15.1    15.1 1
-1990  7  6    16.4    15.4    15.4 1
-1990  7  7    16.3    15.3    15.3 1
-1990  7  8    16.6    15.6    15.6 1
-1990  7  9    15.6    14.6    14.6 1
-1990  7 10    14.7    13.7    13.7 1
-1990  7 11    16.2    15.2    15.2 1
-1990  7 12    17.0    16.0    16.0 1
-1990  7 13    15.6    14.6    14.6 1
-1990  7 14    14.0    13.0    13.0 1
-1990  7 15    14.2    13.2    13.2 1
-1990  7 16    15.1    14.1    14.1 1
-1990  7 17    15.2    14.2    14.2 1
-1990  7 18    13.5    12.5    12.5 1
-1990  7 19    13.5    12.5    12.5 1
-1990  7 20    15.0    14.0    14.0 1
-1990  7 21    17.9    16.9    16.9 1
-1990  7 22    13.7    12.7    12.7 1
-1990  7 23    15.0    14.0    14.0 1
-1990  7 24    15.7    14.8    14.8 1
-1990  7 25    15.6    14.7    14.7 1
-1990  7 26    16.7    15.8    15.8 1
-1990  7 27    19.7    18.8    18.8 1
-1990  7 28    21.9    21.0    21.0 1
-1990  7 29    18.6    17.7    17.7 1
-1990  7 30    17.7    16.8    16.8 1
-1990  7 31    17.7    16.8    16.8 1
-1990  8  1    17.9    17.0    17.0 1
-1990  8  2    20.3    19.4    19.4 1
-1990  8  3    22.8    21.9    21.9 1
-1990  8  4    23.3    22.4    22.4 1
-1990  8  5    20.5    19.6    19.6 1
-1990  8  6    16.7    15.9    15.9 1
-1990  8  7    15.9    15.1    15.1 1
-1990  8  8    15.4    14.6    14.6 1
-1990  8  9    15.3    14.5    14.5 1
-1990  8 10    15.6    14.8    14.8 1
-1990  8 11    17.2    16.4    16.4 1
-1990  8 12    18.4    17.6    17.6 1
-1990  8 13    18.8    18.0    18.0 1
-1990  8 14    19.5    18.7    18.7 1
-1990  8 15    19.6    18.8    18.8 1
-1990  8 16    19.7    18.9    18.9 1
-1990  8 17    18.6    17.9    17.9 1
-1990  8 18    17.5    16.8    16.8 1
-1990  8 19    16.1    15.4    15.4 1
-1990  8 20    16.4    15.7    15.7 1
-1990  8 21    17.4    16.7    16.7 1
-1990  8 22    17.4    16.7    16.7 1
-1990  8 23    16.0    15.3    15.3 1
-1990  8 24    13.3    12.7    12.7 1
-1990  8 25    13.1    12.5    12.5 1
-1990  8 26    12.2    11.6    11.6 1
-1990  8 27    14.5    13.9    13.9 1
-1990  8 28    17.2    16.6    16.6 1
-1990  8 29    19.7    19.1    19.1 1
-1990  8 30    17.3    16.8    16.8 1
-1990  8 31    16.7    16.2    16.2 1
-1990  9  1    16.4    15.9    15.9 1
-1990  9  2    14.3    13.8    13.8 1
-1990  9  3    14.0    13.5    13.5 1
-1990  9  4    12.1    11.6    11.6 1
-1990  9  5    11.2    10.7    10.7 1
-1990  9  6    10.2     9.8     9.8 1
-1990  9  7    11.2    10.8    10.8 1
-1990  9  8    12.1    11.7    11.7 1
-1990  9  9    11.1    10.7    10.7 1
-1990  9 10    12.4    12.0    12.0 1
-1990  9 11     9.9     9.5     9.5 1
-1990  9 12    10.0     9.7     9.7 1
-1990  9 13    11.9    11.6    11.6 1
-1990  9 14    12.5    12.2    12.2 1
-1990  9 15    10.0     9.7     9.7 1
-1990  9 16    10.7    10.4    10.4 1
-1990  9 17    12.0    11.7    11.7 1
-1990  9 18    12.2    11.9    11.9 1
-1990  9 19    11.0    10.7    10.7 1
-1990  9 20    10.3    10.0    10.0 1
-1990  9 21     8.7     8.4     8.4 1
-1990  9 22     9.2     8.9     8.9 1
-1990  9 23     6.5     6.2     6.2 1
-1990  9 24     7.7     7.4     7.4 1
-1990  9 25     8.0     7.7     7.7 1
-1990  9 26     6.2     5.9     5.9 1
-1990  9 27     6.4     6.1     6.1 1
-1990  9 28     8.1     7.8     7.8 1
-1990  9 29    10.6    10.3    10.3 1
-1990  9 30     8.3     8.0     8.0 1
-1990 10  1     7.8     7.5     7.5 1
-1990 10  2     8.0     7.7     7.7 1
-1990 10  3    11.4    11.1    11.1 1
-1990 10  4    11.9    11.6    11.6 1
-1990 10  5    10.1     9.8     9.8 1
-1990 10  6     9.4     9.1     9.1 1
-1990 10  7     8.3     8.0     8.0 1
-1990 10  8     5.4     5.1     5.1 1
-1990 10  9     9.7     9.4     9.4 1
-1990 10 10    10.3    10.1    10.1 1
-1990 10 11     8.4     8.2     8.2 1
-1990 10 12     7.6     7.4     7.4 1
-1990 10 13    10.4    10.2    10.2 1
-1990 10 14     9.8     9.6     9.6 1
-1990 10 15    10.9    10.7    10.7 1
-1990 10 16    11.4    11.2    11.2 1
-1990 10 17    11.7    11.4    11.4 1
-1990 10 18     9.3     9.0     9.0 1
-1990 10 19     7.6     7.3     7.3 1
-1990 10 20     4.0     3.7     3.7 1
-1990 10 21     3.5     3.2     3.2 1
-1990 10 22     4.1     3.8     3.8 1
-1990 10 23     5.1     4.8     4.8 1
-1990 10 24     1.9     1.6     1.6 1
-1990 10 25     1.5     1.2     1.2 1
-1990 10 26     5.1     4.8     4.8 1
-1990 10 27     7.5     7.2     7.2 1
-1990 10 28     7.5     7.2     7.2 1
-1990 10 29     7.2     6.9     6.9 1
-1990 10 30     7.5     7.1     7.1 1
-1990 10 31     4.7     4.3     4.3 1
-1990 11  1     2.6     2.2     2.2 1
-1990 11  2     1.9     1.5     1.5 1
-1990 11  3     1.3     0.9     0.9 1
-1990 11  4     2.9     2.5     2.5 1
-1990 11  5     2.1     1.7     1.7 1
-1990 11  6     5.0     4.6     4.6 1
-1990 11  7     6.3     5.9     5.9 1
-1990 11  8     6.7     6.3     6.3 1
-1990 11  9     4.9     4.5     4.5 1
-1990 11 10     2.6     2.2     2.2 1
-1990 11 11     2.0     1.6     1.6 1
-1990 11 12     1.2     0.8     0.8 1
-1990 11 13     3.3     2.8     2.8 1
-1990 11 14     5.7     5.2     5.2 1
-1990 11 15     4.9     4.4     4.4 1
-1990 11 16     6.1     5.6     5.6 1
-1990 11 17     4.8     4.3     4.3 1
-1990 11 18     1.9     1.4     1.4 1
-1990 11 19     0.2    -0.3    -0.3 1
-1990 11 20     0.0    -0.5    -0.5 1
-1990 11 21    -2.2    -2.7    -2.7 1
-1990 11 22    -5.3    -5.8    -5.8 1
-1990 11 23     0.3    -0.2    -0.2 1
-1990 11 24     2.2     1.7     1.7 1
-1990 11 25     1.3     0.8     0.8 1
-1990 11 26     0.6     0.1     0.1 1
-1990 11 27    -1.4    -1.9    -1.9 1
-1990 11 28     0.3    -0.2    -0.2 1
-1990 11 29     1.3     0.8     0.8 1
-1990 11 30    -3.6    -4.1    -4.1 1
-1990 12  1     2.1     1.6     1.6 1
-1990 12  2     3.2     2.7     2.7 1
-1990 12  3     6.9     6.4     6.4 1
-1990 12  4     2.3     1.8     1.8 1
-1990 12  5    -0.8    -1.3    -1.3 1
-1990 12  6     1.5     0.9     0.9 1
-1990 12  7     6.0     5.4     5.4 1
-1990 12  8     2.6     2.0     2.0 1
-1990 12  9     0.7     0.1     0.1 1
-1990 12 10     1.7     1.1     1.1 1
-1990 12 11     2.1     1.5     1.5 1
-1990 12 12     0.8     0.2     0.2 1
-1990 12 13    -2.6    -3.2    -3.2 1
-1990 12 14    -1.6    -2.2    -2.2 1
-1990 12 15    -0.7    -1.3    -1.3 1
-1990 12 16     0.1    -0.5    -0.5 1
-1990 12 17     1.5     0.9     0.9 1
-1990 12 18     0.8     0.2     0.2 1
-1990 12 19     1.2     0.6     0.6 1
-1990 12 20    -0.5    -1.1    -1.1 1
-1990 12 21    -3.7    -4.3    -4.3 1
-1990 12 22    -4.6    -5.2    -5.2 1
-1990 12 23     2.6     2.0     2.0 1
-1990 12 24     4.6     4.0     4.0 1
-1990 12 25     1.7     1.0     1.0 1
-1990 12 26     2.9     2.2     2.2 1
-1990 12 27     3.7     3.0     3.0 1
-1990 12 28     2.2     1.5     1.5 1
-1990 12 29     2.8     2.1     2.1 1
-1990 12 30     2.5     1.8     1.8 1
-1990 12 31     0.2    -0.5    -0.5 1
-1991  1  1    -3.1    -3.8    -3.8 1
-1991  1  2     1.8     1.1     1.1 1
-1991  1  3     3.5     2.8     2.8 1
-1991  1  4     1.5     0.8     0.8 1
-1991  1  5     3.5     2.8     2.8 1
-1991  1  6     3.2     2.5     2.5 1
-1991  1  7     2.4     1.7     1.7 1
-1991  1  8     2.3     1.6     1.6 1
-1991  1  9     2.8     2.1     2.1 1
-1991  1 10     1.8     1.1     1.1 1
-1991  1 11    -1.4    -2.2    -2.2 1
-1991  1 12    -0.9    -1.7    -1.7 1
-1991  1 13    -6.1    -6.9    -6.9 1
-1991  1 14    -3.4    -4.2    -4.2 1
-1991  1 15    -3.5    -4.3    -4.3 1
-1991  1 16    -1.8    -2.6    -2.6 1
-1991  1 17    -2.3    -3.1    -3.1 1
-1991  1 18    -1.2    -2.0    -2.0 1
-1991  1 19     2.4     1.6     1.6 1
-1991  1 20     1.6     0.8     0.8 1
-1991  1 21     1.7     0.9     0.9 1
-1991  1 22    -1.0    -1.8    -1.8 1
-1991  1 23     1.9     1.1     1.1 1
-1991  1 24     0.4    -0.4    -0.4 1
-1991  1 25     1.9     1.1     1.1 1
-1991  1 26     2.1     1.3     1.3 1
-1991  1 27    -0.2    -1.0    -1.0 1
-1991  1 28     0.9     0.1     0.1 1
-1991  1 29    -1.1    -1.9    -1.9 1
-1991  1 30    -4.1    -4.9    -4.9 1
-1991  1 31    -3.0    -3.8    -3.8 1
-1991  2  1    -3.8    -4.6    -4.6 1
-1991  2  2    -2.6    -3.4    -3.4 1
-1991  2  3    -3.7    -4.5    -4.5 1
-1991  2  4    -1.8    -2.6    -2.6 1
-1991  2  5    -2.9    -3.7    -3.7 1
-1991  2  6    -1.0    -1.8    -1.8 1
-1991  2  7    -3.0    -3.8    -3.8 1
-1991  2  8    -4.6    -5.4    -5.4 1
-1991  2  9    -3.5    -4.3    -4.3 1
-1991  2 10    -4.1    -4.9    -4.9 1
-1991  2 11    -4.4    -5.2    -5.2 1
-1991  2 12    -5.2    -6.0    -6.0 1
-1991  2 13    -3.4    -4.2    -4.2 1
-1991  2 14    -5.5    -6.3    -6.3 1
-1991  2 15    -7.4    -8.2    -8.2 1
-1991  2 16    -7.8    -8.7    -8.7 1
-1991  2 17    -6.2    -7.1    -7.1 1
-1991  2 18    -7.0    -7.9    -7.9 1
-1991  2 19    -2.4    -3.3    -3.3 1
-1991  2 20     1.8     0.9     0.9 1
-1991  2 21     3.3     2.4     2.4 1
-1991  2 22     2.6     1.7     1.7 1
-1991  2 23     1.6     0.7     0.7 1
-1991  2 24     6.3     5.4     5.4 1
-1991  2 25     5.2     4.3     4.3 1
-1991  2 26     0.0    -0.9    -0.9 1
-1991  2 27    -2.9    -3.8    -3.8 1
-1991  2 28    -2.1    -3.0    -3.0 1
-1991  3  1    -0.3    -1.2    -1.2 1
-1991  3  2     0.0    -0.9    -0.9 1
-1991  3  3     0.4    -0.5    -0.5 1
-1991  3  4     0.7    -0.2    -0.2 1
-1991  3  5     0.1    -0.8    -0.8 1
-1991  3  6     1.1     0.2     0.2 1
-1991  3  7     1.7     0.8     0.8 1
-1991  3  8     1.7     0.8     0.8 1
-1991  3  9     1.2     0.3     0.3 1
-1991  3 10     1.4     0.5     0.5 1
-1991  3 11     3.2     2.3     2.3 1
-1991  3 12     3.2     2.3     2.3 1
-1991  3 13     0.4    -0.6    -0.6 1
-1991  3 14     3.1     2.1     2.1 1
-1991  3 15     1.2     0.2     0.2 1
-1991  3 16    -1.3    -2.3    -2.3 1
-1991  3 17     2.5     1.6     1.6 1
-1991  3 18     3.1     2.2     2.2 1
-1991  3 19     3.7     2.8     2.8 1
-1991  3 20     6.3     5.4     5.4 1
-1991  3 21     5.1     4.2     4.2 1
-1991  3 22     4.7     3.8     3.8 1
-1991  3 23     2.9     2.0     2.0 1
-1991  3 24    -1.0    -1.9    -1.9 1
-1991  3 25     3.7     2.8     2.8 1
-1991  3 26     5.1     4.2     4.2 1
-1991  3 27     3.3     2.4     2.4 1
-1991  3 28     3.1     2.2     2.2 1
-1991  3 29     6.1     5.2     5.2 1
-1991  3 30     3.2     2.3     2.3 1
-1991  3 31     2.7     1.8     1.8 1
-1991  4  1     6.7     5.8     5.8 1
-1991  4  2     8.6     7.7     7.7 1
-1991  4  3     9.8     8.9     8.9 1
-1991  4  4     7.7     6.8     6.8 1
-1991  4  5     6.5     5.6     5.6 1
-1991  4  6     7.6     6.8     6.8 1
-1991  4  7     8.5     7.7     7.7 1
-1991  4  8     7.2     6.4     6.4 1
-1991  4  9     7.6     6.8     6.8 1
-1991  4 10     8.8     8.0     8.0 1
-1991  4 11     8.7     7.9     7.9 1
-1991  4 12     9.1     8.3     8.3 1
-1991  4 13    11.9    11.1    11.1 1
-1991  4 14     7.2     6.4     6.4 1
-1991  4 15     8.3     7.5     7.5 1
-1991  4 16     4.4     3.6     3.6 1
-1991  4 17    -0.3    -1.1    -1.1 1
-1991  4 18    -1.1    -2.0    -2.0 1
-1991  4 19    -0.6    -1.5    -1.5 1
-1991  4 20    -0.8    -1.7    -1.7 1
-1991  4 21     0.4    -0.5    -0.5 1
-1991  4 22     2.4     1.5     1.5 1
-1991  4 23     5.5     4.5     4.5 1
-1991  4 24     7.2     6.2     6.2 1
-1991  4 25     4.6     3.6     3.6 1
-1991  4 26     2.8     1.8     1.8 1
-1991  4 27     5.9     4.9     4.9 1
-1991  4 28     6.4     5.4     5.4 1
-1991  4 29     4.3     3.2     3.2 1
-1991  4 30     6.4     5.3     5.3 1
-1991  5  1     4.3     3.2     3.2 1
-1991  5  2     3.6     2.5     2.5 1
-1991  5  3     6.4     5.3     5.3 1
-1991  5  4     4.6     3.4     3.4 1
-1991  5  5     5.9     4.7     4.7 1
-1991  5  6     5.6     4.4     4.4 1
-1991  5  7     5.4     4.2     4.2 1
-1991  5  8     8.0     6.8     6.8 1
-1991  5  9     6.3     5.0     5.0 1
-1991  5 10    10.9     9.6     9.6 1
-1991  5 11    12.6    11.3    11.3 1
-1991  5 12    11.3    10.0    10.0 1
-1991  5 13    12.2    10.9    10.9 1
-1991  5 14     9.8     8.4     8.4 1
-1991  5 15     5.6     4.2     4.2 1
-1991  5 16     5.7     4.3     4.3 1
-1991  5 17     3.9     2.5     2.5 1
-1991  5 18     6.1     4.8     4.8 1
-1991  5 19    10.2     8.9     8.9 1
-1991  5 20    10.2     8.9     8.9 1
-1991  5 21    12.1    10.8    10.8 1
-1991  5 22    10.0     8.7     8.7 1
-1991  5 23     6.9     5.6     5.6 1
-1991  5 24     7.5     6.2     6.2 1
-1991  5 25     8.3     7.0     7.0 1
-1991  5 26     9.3     8.0     8.0 1
-1991  5 27     9.8     8.5     8.5 1
-1991  5 28    12.2    10.9    10.9 1
-1991  5 29    12.7    11.5    11.5 1
-1991  5 30    12.9    11.7    11.7 1
-1991  5 31    10.9     9.7     9.7 1
-1991  6  1     8.6     7.4     7.4 1
-1991  6  2     8.3     7.1     7.1 1
-1991  6  3     9.7     8.5     8.5 1
-1991  6  4     8.1     6.9     6.9 1
-1991  6  5     9.5     8.3     8.3 1
-1991  6  6    11.1     9.9     9.9 1
-1991  6  7    12.4    11.2    11.2 1
-1991  6  8    10.0     8.8     8.8 1
-1991  6  9    10.5     9.4     9.4 1
-1991  6 10    12.0    10.9    10.9 1
-1991  6 11    13.2    12.1    12.1 1
-1991  6 12    12.6    11.5    11.5 1
-1991  6 13    12.0    10.9    10.9 1
-1991  6 14    13.7    12.6    12.6 1
-1991  6 15    12.7    11.6    11.6 1
-1991  6 16    13.1    12.0    12.0 1
-1991  6 17    14.0    12.9    12.9 1
-1991  6 18    10.8     9.7     9.7 1
-1991  6 19    12.2    11.1    11.1 1
-1991  6 20    13.7    12.6    12.6 1
-1991  6 21    13.3    12.2    12.2 1
-1991  6 22    12.8    11.7    11.7 1
-1991  6 23    16.0    14.9    14.9 1
-1991  6 24    15.1    14.0    14.0 1
-1991  6 25    15.8    14.7    14.7 1
-1991  6 26    13.6    12.5    12.5 1
-1991  6 27    14.4    13.3    13.3 1
-1991  6 28    12.5    11.4    11.4 1
-1991  6 29    11.7    10.6    10.6 1
-1991  6 30    13.4    12.4    12.4 1
-1991  7  1    14.3    13.3    13.3 1
-1991  7  2    17.5    16.5    16.5 1
-1991  7  3    20.3    19.3    19.3 1
-1991  7  4    21.2    20.2    20.2 1
-1991  7  5    22.4    21.4    21.4 1
-1991  7  6    23.1    22.1    22.1 1
-1991  7  7    23.5    22.5    22.5 1
-1991  7  8    22.8    21.8    21.8 1
-1991  7  9    22.0    21.0    21.0 1
-1991  7 10    18.3    17.3    17.3 1
-1991  7 11    16.1    15.1    15.1 1
-1991  7 12    18.9    17.9    17.9 1
-1991  7 13    19.1    18.1    18.1 1
-1991  7 14    18.3    17.3    17.3 1
-1991  7 15    17.5    16.5    16.5 1
-1991  7 16    17.6    16.6    16.6 1
-1991  7 17    17.0    16.0    16.0 1
-1991  7 18    16.4    15.4    15.4 1
-1991  7 19    16.8    15.8    15.8 1
-1991  7 20    15.8    14.8    14.8 1
-1991  7 21    15.8    14.8    14.8 1
-1991  7 22    16.1    15.1    15.1 1
-1991  7 23    17.3    16.3    16.3 1
-1991  7 24    17.9    17.0    17.0 1
-1991  7 25    17.7    16.8    16.8 1
-1991  7 26    17.0    16.1    16.1 1
-1991  7 27    19.0    18.1    18.1 1
-1991  7 28    20.4    19.5    19.5 1
-1991  7 29    20.5    19.6    19.6 1
-1991  7 30    22.2    21.3    21.3 1
-1991  7 31    21.6    20.7    20.7 1
-1991  8  1    21.4    20.5    20.5 1
-1991  8  2    21.4    20.5    20.5 1
-1991  8  3    23.2    22.3    22.3 1
-1991  8  4    23.4    22.5    22.5 1
-1991  8  5    22.5    21.6    21.6 1
-1991  8  6    19.9    19.1    19.1 1
-1991  8  7    20.1    19.3    19.3 1
-1991  8  8    19.4    18.6    18.6 1
-1991  8  9    17.7    16.9    16.9 1
-1991  8 10    16.8    16.0    16.0 1
-1991  8 11    17.2    16.4    16.4 1
-1991  8 12    15.2    14.4    14.4 1
-1991  8 13    15.6    14.8    14.8 1
-1991  8 14    16.9    16.1    16.1 1
-1991  8 15    18.1    17.3    17.3 1
-1991  8 16    16.1    15.3    15.3 1
-1991  8 17    16.9    16.2    16.2 1
-1991  8 18    15.2    14.5    14.5 1
-1991  8 19    15.9    15.2    15.2 1
-1991  8 20    17.1    16.4    16.4 1
-1991  8 21    17.3    16.6    16.6 1
-1991  8 22    17.9    17.2    17.2 1
-1991  8 23    19.9    19.2    19.2 1
-1991  8 24    17.7    17.1    17.1 1
-1991  8 25    15.3    14.7    14.7 1
-1991  8 26    16.6    16.0    16.0 1
-1991  8 27    17.0    16.4    16.4 1
-1991  8 28    14.0    13.4    13.4 1
-1991  8 29    14.6    14.0    14.0 1
-1991  8 30    16.4    15.9    15.9 1
-1991  8 31    17.3    16.8    16.8 1
-1991  9  1    19.6    19.1    19.1 1
-1991  9  2    19.3    18.8    18.8 1
-1991  9  3    18.8    18.3    18.3 1
-1991  9  4    15.9    15.4    15.4 1
-1991  9  5    11.2    10.7    10.7 1
-1991  9  6     6.7     6.3     6.3 1
-1991  9  7     7.2     6.8     6.8 1
-1991  9  8     9.7     9.3     9.3 1
-1991  9  9    11.3    10.9    10.9 1
-1991  9 10    13.1    12.7    12.7 1
-1991  9 11     9.9     9.5     9.5 1
-1991  9 12     8.8     8.5     8.5 1
-1991  9 13    11.4    11.1    11.1 1
-1991  9 14    11.9    11.6    11.6 1
-1991  9 15    14.4    14.1    14.1 1
-1991  9 16    13.7    13.4    13.4 1
-1991  9 17    12.7    12.4    12.4 1
-1991  9 18    10.1     9.8     9.8 1
-1991  9 19    13.3    13.0    13.0 1
-1991  9 20    12.6    12.3    12.3 1
-1991  9 21    11.0    10.7    10.7 1
-1991  9 22    12.5    12.2    12.2 1
-1991  9 23    11.5    11.2    11.2 1
-1991  9 24    10.9    10.6    10.6 1
-1991  9 25    13.8    13.5    13.5 1
-1991  9 26    12.4    12.1    12.1 1
-1991  9 27     8.5     8.2     8.2 1
-1991  9 28     9.1     8.8     8.8 1
-1991  9 29     9.4     9.1     9.1 1
-1991  9 30    11.8    11.5    11.5 1
-1991 10  1    11.0    10.7    10.7 1
-1991 10  2     8.8     8.5     8.5 1
-1991 10  3     7.0     6.7     6.7 1
-1991 10  4    11.0    10.7    10.7 1
-1991 10  5    10.2     9.9     9.9 1
-1991 10  6    11.6    11.3    11.3 1
-1991 10  7     9.7     9.4     9.4 1
-1991 10  8    11.3    11.0    11.0 1
-1991 10  9    12.5    12.2    12.2 1
-1991 10 10    10.6    10.4    10.4 1
-1991 10 11     9.2     9.0     9.0 1
-1991 10 12     8.8     8.6     8.6 1
-1991 10 13    10.0     9.8     9.8 1
-1991 10 14    10.6    10.4    10.4 1
-1991 10 15     9.3     9.1     9.1 1
-1991 10 16     9.8     9.6     9.6 1
-1991 10 17    10.6    10.3    10.3 1
-1991 10 18     7.6     7.3     7.3 1
-1991 10 19     5.9     5.6     5.6 1
-1991 10 20     0.2    -0.1    -0.1 1
-1991 10 21     0.0    -0.3    -0.3 1
-1991 10 22     4.1     3.8     3.8 1
-1991 10 23     2.8     2.5     2.5 1
-1991 10 24     3.6     3.3     3.3 1
-1991 10 25     6.1     5.8     5.8 1
-1991 10 26     6.6     6.3     6.3 1
-1991 10 27     6.9     6.6     6.6 1
-1991 10 28     6.3     6.0     6.0 1
-1991 10 29     5.5     5.2     5.2 1
-1991 10 30     5.6     5.2     5.2 1
-1991 10 31     5.0     4.6     4.6 1
-1991 11  1     5.7     5.3     5.3 1
-1991 11  2     6.9     6.5     6.5 1
-1991 11  3     8.3     7.9     7.9 1
-1991 11  4     6.4     6.0     6.0 1
-1991 11  5     5.3     4.9     4.9 1
-1991 11  6     5.1     4.7     4.7 1
-1991 11  7     4.4     4.0     4.0 1
-1991 11  8     4.6     4.2     4.2 1
-1991 11  9     2.5     2.1     2.1 1
-1991 11 10     0.9     0.5     0.5 1
-1991 11 11     2.8     2.4     2.4 1
-1991 11 12     4.3     3.9     3.9 1
-1991 11 13     5.5     5.0     5.0 1
-1991 11 14     4.5     4.0     4.0 1
-1991 11 15     2.3     1.8     1.8 1
-1991 11 16     1.2     0.7     0.7 1
-1991 11 17    -2.0    -2.5    -2.5 1
-1991 11 18     1.9     1.4     1.4 1
-1991 11 19     0.7     0.2     0.2 1
-1991 11 20    -2.1    -2.6    -2.6 1
-1991 11 21    -1.6    -2.1    -2.1 1
-1991 11 22     3.9     3.4     3.4 1
-1991 11 23     6.3     5.8     5.8 1
-1991 11 24     7.0     6.5     6.5 1
-1991 11 25     7.0     6.5     6.5 1
-1991 11 26     4.6     4.1     4.1 1
-1991 11 27     5.7     5.2     5.2 1
-1991 11 28     6.1     5.6     5.6 1
-1991 11 29     6.2     5.7     5.7 1
-1991 11 30     4.8     4.3     4.3 1
-1991 12  1     5.5     5.0     5.0 1
-1991 12  2     1.9     1.4     1.4 1
-1991 12  3     1.9     1.4     1.4 1
-1991 12  4     1.8     1.3     1.3 1
-1991 12  5    -0.4    -1.0    -1.0 1
-1991 12  6     0.3    -0.3    -0.3 1
-1991 12  7    -0.6    -1.2    -1.2 1
-1991 12  8     1.7     1.1     1.1 1
-1991 12  9     0.0    -0.6    -0.6 1
-1991 12 10     0.5    -0.1    -0.1 1
-1991 12 11     3.7     3.1     3.1 1
-1991 12 12     1.4     0.8     0.8 1
-1991 12 13     7.0     6.4     6.4 1
-1991 12 14     2.3     1.7     1.7 1
-1991 12 15     0.7     0.1     0.1 1
-1991 12 16    -0.2    -0.8    -0.8 1
-1991 12 17     2.5     1.9     1.9 1
-1991 12 18     3.1     2.5     2.5 1
-1991 12 19     2.2     1.6     1.6 1
-1991 12 20     2.4     1.8     1.8 1
-1991 12 21     1.0     0.4     0.4 1
-1991 12 22    -2.0    -2.6    -2.6 1
-1991 12 23     3.3     2.7     2.7 1
-1991 12 24    -3.3    -3.9    -3.9 1
-1991 12 25    -3.3    -4.0    -4.0 1
-1991 12 26     0.7     0.0     0.0 1
-1991 12 27    -0.8    -1.5    -1.5 1
-1991 12 28     0.0    -0.7    -0.7 1
-1991 12 29     4.0     3.3     3.3 1
-1991 12 30     2.0     1.3     1.3 1
-1991 12 31    -1.7    -2.4    -2.4 1
-1992  1  1     3.4     2.7     2.7 1
-1992  1  2     4.0     3.3     3.3 1
-1992  1  3     8.3     7.6     7.6 1
-1992  1  4     4.0     3.3     3.3 1
-1992  1  5    -0.1    -0.8    -0.8 1
-1992  1  6    -2.4    -3.1    -3.1 1
-1992  1  7     2.4     1.7     1.7 1
-1992  1  8     5.2     4.5     4.5 1
-1992  1  9     0.0    -0.7    -0.7 1
-1992  1 10    -1.7    -2.4    -2.4 1
-1992  1 11     5.7     4.9     4.9 1
-1992  1 12     2.7     1.9     1.9 1
-1992  1 13    -0.8    -1.6    -1.6 1
-1992  1 14     3.9     3.1     3.1 1
-1992  1 15     6.1     5.3     5.3 1
-1992  1 16     3.2     2.4     2.4 1
-1992  1 17    -1.3    -2.1    -2.1 1
-1992  1 18    -2.6    -3.4    -3.4 1
-1992  1 19    -4.1    -4.9    -4.9 1
-1992  1 20    -5.0    -5.8    -5.8 1
-1992  1 21    -1.5    -2.3    -2.3 1
-1992  1 22     1.4     0.6     0.6 1
-1992  1 23    -0.6    -1.4    -1.4 1
-1992  1 24    -3.2    -4.0    -4.0 1
-1992  1 25    -3.3    -4.1    -4.1 1
-1992  1 26     0.6    -0.2    -0.2 1
-1992  1 27     1.8     1.0     1.0 1
-1992  1 28     4.2     3.4     3.4 1
-1992  1 29     5.2     4.4     4.4 1
-1992  1 30     4.8     4.0     4.0 1
-1992  1 31     1.3     0.5     0.5 1
-1992  2  1    -1.3    -2.1    -2.1 1
-1992  2  2    -1.3    -2.1    -2.1 1
-1992  2  3     2.3     1.5     1.5 1
-1992  2  4    -0.7    -1.5    -1.5 1
-1992  2  5    -2.5    -3.3    -3.3 1
-1992  2  6    -4.2    -5.0    -5.0 1
-1992  2  7     1.1     0.3     0.3 1
-1992  2  8     4.0     3.2     3.2 1
-1992  2  9     0.6    -0.2    -0.2 1
-1992  2 10     2.5     1.7     1.7 1
-1992  2 11     2.8     2.0     2.0 1
-1992  2 12     2.3     1.5     1.5 1
-1992  2 13     3.2     2.4     2.4 1
-1992  2 14     2.2     1.4     1.4 1
-1992  2 15    -2.9    -3.7    -3.7 1
-1992  2 16    -4.4    -5.3    -5.3 1
-1992  2 17    -4.1    -5.0    -5.0 1
-1992  2 18    -2.1    -3.0    -3.0 1
-1992  2 19    -2.0    -2.9    -2.9 1
-1992  2 20    -1.8    -2.7    -2.7 1
-1992  2 21     0.6    -0.3    -0.3 1
-1992  2 22     0.3    -0.6    -0.6 1
-1992  2 23     4.8     3.9     3.9 1
-1992  2 24     2.2     1.3     1.3 1
-1992  2 25     5.5     4.6     4.6 1
-1992  2 26     1.2     0.3     0.3 1
-1992  2 27     4.4     3.5     3.5 1
-1992  2 28     6.1     5.2     5.2 1
-1992  2 29     3.0     2.1     2.1 1
-1992  3  1     4.1     3.2     3.2 1
-1992  3  2     6.5     5.6     5.6 1
-1992  3  3     3.8     2.9     2.9 1
-1992  3  4     3.3     2.4     2.4 1
-1992  3  5     3.6     2.7     2.7 1
-1992  3  6     4.3     3.4     3.4 1
-1992  3  7     4.9     4.0     4.0 1
-1992  3  8     6.5     5.6     5.6 1
-1992  3  9     4.1     3.2     3.2 1
-1992  3 10     5.3     4.4     4.4 1
-1992  3 11     4.4     3.5     3.5 1
-1992  3 12     1.5     0.6     0.6 1
-1992  3 13     2.2     1.2     1.2 1
-1992  3 14     0.1    -0.9    -0.9 1
-1992  3 15    -1.7    -2.7    -2.7 1
-1992  3 16     1.9     0.9     0.9 1
-1992  3 17     1.3     0.4     0.4 1
-1992  3 18     7.0     6.1     6.1 1
-1992  3 19     5.4     4.5     4.5 1
-1992  3 20     4.7     3.8     3.8 1
-1992  3 21     4.7     3.8     3.8 1
-1992  3 22     4.4     3.5     3.5 1
-1992  3 23     3.9     3.0     3.0 1
-1992  3 24     1.4     0.5     0.5 1
-1992  3 25    -0.3    -1.2    -1.2 1
-1992  3 26     0.8    -0.1    -0.1 1
-1992  3 27     3.5     2.6     2.6 1
-1992  3 28     0.5    -0.4    -0.4 1
-1992  3 29     0.0    -0.9    -0.9 1
-1992  3 30    -1.6    -2.5    -2.5 1
-1992  3 31     0.0    -0.9    -0.9 1
-1992  4  1     1.5     0.6     0.6 1
-1992  4  2     3.9     3.0     3.0 1
-1992  4  3     6.2     5.3     5.3 1
-1992  4  4     1.4     0.5     0.5 1
-1992  4  5     0.6    -0.3    -0.3 1
-1992  4  6    -0.2    -1.0    -1.0 1
-1992  4  7     2.5     1.7     1.7 1
-1992  4  8     3.5     2.7     2.7 1
-1992  4  9     3.8     3.0     3.0 1
-1992  4 10     4.7     3.9     3.9 1
-1992  4 11     6.3     5.5     5.5 1
-1992  4 12     5.5     4.7     4.7 1
-1992  4 13     5.6     4.8     4.8 1
-1992  4 14     1.9     1.1     1.1 1
-1992  4 15     0.2    -0.6    -0.6 1
-1992  4 16    -0.6    -1.4    -1.4 1
-1992  4 17     0.9     0.1     0.1 1
-1992  4 18     2.4     1.5     1.5 1
-1992  4 19     2.7     1.8     1.8 1
-1992  4 20     3.1     2.2     2.2 1
-1992  4 21     1.7     0.8     0.8 1
-1992  4 22    -0.4    -1.3    -1.3 1
-1992  4 23     1.1     0.1     0.1 1
-1992  4 24     1.9     0.9     0.9 1
-1992  4 25     4.3     3.3     3.3 1
-1992  4 26     9.4     8.4     8.4 1
-1992  4 27     6.6     5.6     5.6 1
-1992  4 28     9.1     8.1     8.1 1
-1992  4 29     6.8     5.7     5.7 1
-1992  4 30     8.1     7.0     7.0 1
-1992  5  1     8.7     7.6     7.6 1
-1992  5  2    10.7     9.6     9.6 1
-1992  5  3     9.9     8.8     8.8 1
-1992  5  4    10.9     9.7     9.7 1
-1992  5  5    12.2    11.0    11.0 1
-1992  5  6    10.8     9.6     9.6 1
-1992  5  7    11.9    10.7    10.7 1
-1992  5  8    11.0     9.8     9.8 1
-1992  5  9     5.7     4.4     4.4 1
-1992  5 10     7.7     6.4     6.4 1
-1992  5 11     7.5     6.2     6.2 1
-1992  5 12     8.2     6.9     6.9 1
-1992  5 13    10.3     9.0     9.0 1
-1992  5 14    13.4    12.0    12.0 1
-1992  5 15    15.9    14.5    14.5 1
-1992  5 16    15.1    13.7    13.7 1
-1992  5 17    11.0     9.6     9.6 1
-1992  5 18    14.2    12.9    12.9 1
-1992  5 19    18.6    17.3    17.3 1
-1992  5 20    19.3    18.0    18.0 1
-1992  5 21    18.5    17.2    17.2 1
-1992  5 22    16.2    14.9    14.9 1
-1992  5 23    16.7    15.4    15.4 1
-1992  5 24    16.4    15.1    15.1 1
-1992  5 25    15.4    14.1    14.1 1
-1992  5 26    16.6    15.3    15.3 1
-1992  5 27    19.1    17.8    17.8 1
-1992  5 28    18.2    16.9    16.9 1
-1992  5 29    17.7    16.5    16.5 1
-1992  5 30    19.2    18.0    18.0 1
-1992  5 31    21.5    20.3    20.3 1
-1992  6  1    21.9    20.7    20.7 1
-1992  6  2    17.8    16.6    16.6 1
-1992  6  3    17.0    15.8    15.8 1
-1992  6  4    18.8    17.6    17.6 1
-1992  6  5    20.1    18.9    18.9 1
-1992  6  6    20.7    19.5    19.5 1
-1992  6  7    21.7    20.5    20.5 1
-1992  6  8    19.6    18.4    18.4 1
-1992  6  9    15.7    14.6    14.6 1
-1992  6 10    17.4    16.3    16.3 1
-1992  6 11    13.7    12.6    12.6 1
-1992  6 12    16.2    15.1    15.1 1
-1992  6 13    17.8    16.7    16.7 1
-1992  6 14    18.9    17.8    17.8 1
-1992  6 15    19.8    18.7    18.7 1
-1992  6 16    17.1    16.0    16.0 1
-1992  6 17    15.0    13.9    13.9 1
-1992  6 18    17.2    16.1    16.1 1
-1992  6 19    18.8    17.7    17.7 1
-1992  6 20    19.3    18.2    18.2 1
-1992  6 21    14.6    13.5    13.5 1
-1992  6 22    13.1    12.0    12.0 1
-1992  6 23    15.0    13.9    13.9 1
-1992  6 24    16.5    15.4    15.4 1
-1992  6 25    17.0    15.9    15.9 1
-1992  6 26    19.4    18.3    18.3 1
-1992  6 27    21.9    20.8    20.8 1
-1992  6 28    21.2    20.1    20.1 1
-1992  6 29    19.9    18.8    18.8 1
-1992  6 30    20.3    19.3    19.3 1
-1992  7  1    16.6    15.6    15.6 1
-1992  7  2    12.5    11.5    11.5 1
-1992  7  3    14.3    13.3    13.3 1
-1992  7  4    14.1    13.1    13.1 1
-1992  7  5    16.8    15.8    15.8 1
-1992  7  6    17.9    16.9    16.9 1
-1992  7  7    16.2    15.2    15.2 1
-1992  7  8    18.6    17.6    17.6 1
-1992  7  9    19.5    18.5    18.5 1
-1992  7 10    20.7    19.7    19.7 1
-1992  7 11    18.7    17.7    17.7 1
-1992  7 12    17.8    16.8    16.8 1
-1992  7 13    19.0    18.0    18.0 1
-1992  7 14    16.8    15.8    15.8 1
-1992  7 15    15.0    14.0    14.0 1
-1992  7 16    15.6    14.6    14.6 1
-1992  7 17    19.0    18.0    18.0 1
-1992  7 18    15.2    14.2    14.2 1
-1992  7 19    18.2    17.2    17.2 1
-1992  7 20    19.3    18.3    18.3 1
-1992  7 21    21.3    20.3    20.3 1
-1992  7 22    23.0    22.0    22.0 1
-1992  7 23    21.0    20.0    20.0 1
-1992  7 24    21.1    20.2    20.2 1
-1992  7 25    22.1    21.2    21.2 1
-1992  7 26    21.6    20.7    20.7 1
-1992  7 27    18.3    17.4    17.4 1
-1992  7 28    13.1    12.2    12.2 1
-1992  7 29    16.9    16.0    16.0 1
-1992  7 30    17.4    16.5    16.5 1
-1992  7 31    17.7    16.8    16.8 1
-1992  8  1    18.2    17.3    17.3 1
-1992  8  2    19.0    18.1    18.1 1
-1992  8  3    19.4    18.5    18.5 1
-1992  8  4    19.5    18.6    18.6 1
-1992  8  5    17.4    16.5    16.5 1
-1992  8  6    18.5    17.7    17.7 1
-1992  8  7    17.8    17.0    17.0 1
-1992  8  8    17.4    16.6    16.6 1
-1992  8  9    16.8    16.0    16.0 1
-1992  8 10    20.1    19.3    19.3 1
-1992  8 11    18.7    17.9    17.9 1
-1992  8 12    16.6    15.8    15.8 1
-1992  8 13    15.6    14.8    14.8 1
-1992  8 14    14.7    13.9    13.9 1
-1992  8 15    15.0    14.2    14.2 1
-1992  8 16    17.3    16.5    16.5 1
-1992  8 17    16.1    15.4    15.4 1
-1992  8 18    15.1    14.4    14.4 1
-1992  8 19    15.2    14.5    14.5 1
-1992  8 20    16.3    15.6    15.6 1
-1992  8 21    14.9    14.2    14.2 1
-1992  8 22    13.7    13.0    13.0 1
-1992  8 23    16.0    15.3    15.3 1
-1992  8 24    15.4    14.8    14.8 1
-1992  8 25    14.6    14.0    14.0 1
-1992  8 26    14.6    14.0    14.0 1
-1992  8 27    14.4    13.8    13.8 1
-1992  8 28    16.9    16.3    16.3 1
-1992  8 29    17.4    16.8    16.8 1
-1992  8 30    15.5    15.0    15.0 1
-1992  8 31    14.7    14.2    14.2 1
-1992  9  1    12.6    12.1    12.1 1
-1992  9  2    14.5    14.0    14.0 1
-1992  9  3    13.7    13.2    13.2 1
-1992  9  4    13.3    12.8    12.8 1
-1992  9  5    11.1    10.6    10.6 1
-1992  9  6     9.4     9.0     9.0 1
-1992  9  7    10.3     9.9     9.9 1
-1992  9  8    10.7    10.3    10.3 1
-1992  9  9    13.0    12.6    12.6 1
-1992  9 10    14.2    13.8    13.8 1
-1992  9 11    14.7    14.3    14.3 1
-1992  9 12    15.1    14.8    14.8 1
-1992  9 13    12.7    12.4    12.4 1
-1992  9 14    11.3    11.0    11.0 1
-1992  9 15    12.0    11.7    11.7 1
-1992  9 16    12.6    12.3    12.3 1
-1992  9 17    11.2    10.9    10.9 1
-1992  9 18    10.0     9.7     9.7 1
-1992  9 19    13.0    12.7    12.7 1
-1992  9 20    11.3    11.0    11.0 1
-1992  9 21    11.5    11.2    11.2 1
-1992  9 22    13.0    12.7    12.7 1
-1992  9 23    14.1    13.8    13.8 1
-1992  9 24    13.9    13.6    13.6 1
-1992  9 25    13.2    12.9    12.9 1
-1992  9 26    13.2    12.9    12.9 1
-1992  9 27    11.7    11.4    11.4 1
-1992  9 28     9.7     9.4     9.4 1
-1992  9 29     9.3     9.0     9.0 1
-1992  9 30     9.1     8.8     8.8 1
-1992 10  1     9.3     9.0     9.0 1
-1992 10  2     6.8     6.5     6.5 1
-1992 10  3     7.7     7.4     7.4 1
-1992 10  4     8.4     8.1     8.1 1
-1992 10  5     9.2     8.9     8.9 1
-1992 10  6     7.0     6.7     6.7 1
-1992 10  7     8.0     7.7     7.7 1
-1992 10  8    11.9    11.6    11.6 1
-1992 10  9     5.5     5.2     5.2 1
-1992 10 10     4.7     4.5     4.5 1
-1992 10 11     4.2     4.0     4.0 1
-1992 10 12     0.8     0.6     0.6 1
-1992 10 13     0.9     0.7     0.7 1
-1992 10 14     5.6     5.4     5.4 1
-1992 10 15     5.2     5.0     5.0 1
-1992 10 16     5.2     5.0     5.0 1
-1992 10 17     3.3     3.0     3.0 1
-1992 10 18     2.7     2.4     2.4 1
-1992 10 19     5.9     5.6     5.6 1
-1992 10 20     5.7     5.4     5.4 1
-1992 10 21     4.7     4.4     4.4 1
-1992 10 22     6.1     5.8     5.8 1
-1992 10 23     2.2     1.9     1.9 1
-1992 10 24     2.8     2.5     2.5 1
-1992 10 25     2.8     2.5     2.5 1
-1992 10 26     1.5     1.2     1.2 1
-1992 10 27    -0.4    -0.7    -0.7 1
-1992 10 28     0.1    -0.2    -0.2 1
-1992 10 29    -0.7    -1.0    -1.0 1
-1992 10 30    -3.9    -4.3    -4.3 1
-1992 10 31    -1.3    -1.7    -1.7 1
-1992 11  1     3.1     2.7     2.7 1
-1992 11  2     6.3     5.9     5.9 1
-1992 11  3     7.0     6.6     6.6 1
-1992 11  4     4.9     4.5     4.5 1
-1992 11  5     1.1     0.7     0.7 1
-1992 11  6     3.7     3.3     3.3 1
-1992 11  7     3.9     3.5     3.5 1
-1992 11  8    -0.2    -0.6    -0.6 1
-1992 11  9     0.9     0.5     0.5 1
-1992 11 10     4.5     4.1     4.1 1
-1992 11 11     5.5     5.1     5.1 1
-1992 11 12     4.0     3.6     3.6 1
-1992 11 13     3.2     2.7     2.7 1
-1992 11 14     1.4     0.9     0.9 1
-1992 11 15     1.1     0.6     0.6 1
-1992 11 16     0.1    -0.4    -0.4 1
-1992 11 17     0.8     0.3     0.3 1
-1992 11 18     4.4     3.9     3.9 1
-1992 11 19     2.3     1.8     1.8 1
-1992 11 20     2.0     1.5     1.5 1
-1992 11 21    -0.4    -0.9    -0.9 1
-1992 11 22    -2.3    -2.8    -2.8 1
-1992 11 23    -5.5    -6.0    -6.0 1
-1992 11 24     3.7     3.2     3.2 1
-1992 11 25     3.3     2.8     2.8 1
-1992 11 26     4.6     4.1     4.1 1
-1992 11 27     3.5     3.0     3.0 1
-1992 11 28     2.8     2.3     2.3 1
-1992 11 29     2.9     2.4     2.4 1
-1992 11 30     4.1     3.6     3.6 1
-1992 12  1     5.8     5.3     5.3 1
-1992 12  2     6.6     6.1     6.1 1
-1992 12  3     6.1     5.6     5.6 1
-1992 12  4     4.4     3.9     3.9 1
-1992 12  5     2.0     1.4     1.4 1
-1992 12  6     2.1     1.5     1.5 1
-1992 12  7     1.9     1.3     1.3 1
-1992 12  8     1.0     0.4     0.4 1
-1992 12  9     0.5    -0.1    -0.1 1
-1992 12 10     0.5    -0.1    -0.1 1
-1992 12 11     4.2     3.6     3.6 1
-1992 12 12     1.5     0.9     0.9 1
-1992 12 13    -2.3    -2.9    -2.9 1
-1992 12 14    -0.2    -0.8    -0.8 1
-1992 12 15     7.0     6.4     6.4 1
-1992 12 16     6.0     5.4     5.4 1
-1992 12 17     3.9     3.3     3.3 1
-1992 12 18     3.4     2.8     2.8 1
-1992 12 19     4.0     3.4     3.4 1
-1992 12 20    -0.2    -0.8    -0.8 1
-1992 12 21    -3.5    -4.1    -4.1 1
-1992 12 22    -4.4    -5.0    -5.0 1
-1992 12 23    -3.9    -4.5    -4.5 1
-1992 12 24    -2.2    -2.8    -2.8 1
-1992 12 25     1.2     0.5     0.5 1
-1992 12 26     2.4     1.7     1.7 1
-1992 12 27    -1.0    -1.7    -1.7 1
-1992 12 28    -0.5    -1.2    -1.2 1
-1992 12 29     2.3     1.6     1.6 1
-1992 12 30    -0.9    -1.6    -1.6 1
-1992 12 31     1.2     0.5     0.5 1
-1993  1  1     0.6    -0.1    -0.1 1
-1993  1  2    -2.2    -2.9    -2.9 1
-1993  1  3    -4.2    -4.9    -4.9 1
-1993  1  4    -2.6    -3.3    -3.3 1
-1993  1  5    -0.3    -1.0    -1.0 1
-1993  1  6     3.0     2.3     2.3 1
-1993  1  7     1.3     0.6     0.6 1
-1993  1  8     1.5     0.8     0.8 1
-1993  1  9     2.1     1.4     1.4 1
-1993  1 10     3.3     2.6     2.6 1
-1993  1 11     4.3     3.5     3.5 1
-1993  1 12     1.7     0.9     0.9 1
-1993  1 13     3.7     2.9     2.9 1
-1993  1 14     1.6     0.8     0.8 1
-1993  1 15     2.7     1.9     1.9 1
-1993  1 16     5.2     4.4     4.4 1
-1993  1 17     5.8     5.0     5.0 1
-1993  1 18     4.2     3.4     3.4 1
-1993  1 19     1.8     1.0     1.0 1
-1993  1 20     1.9     1.1     1.1 1
-1993  1 21     4.4     3.6     3.6 1
-1993  1 22     5.7     4.9     4.9 1
-1993  1 23     0.5    -0.3    -0.3 1
-1993  1 24    -0.4    -1.2    -1.2 1
-1993  1 25    -3.6    -4.4    -4.4 1
-1993  1 26    -7.0    -7.8    -7.8 1
-1993  1 27    -5.8    -6.6    -6.6 1
-1993  1 28    -4.6    -5.4    -5.4 1
-1993  1 29    -5.7    -6.5    -6.5 1
-1993  1 30    -4.2    -5.0    -5.0 1
-1993  1 31    -0.1    -0.9    -0.9 1
-1993  2  1     2.4     1.6     1.6 1
-1993  2  2     0.8     0.0     0.0 1
-1993  2  3     4.7     3.9     3.9 1
-1993  2  4     7.9     7.1     7.1 1
-1993  2  5     2.4     1.6     1.6 1
-1993  2  6    -0.2    -1.0    -1.0 1
-1993  2  7    -1.2    -2.0    -2.0 1
-1993  2  8     3.5     2.7     2.7 1
-1993  2  9     3.4     2.6     2.6 1
-1993  2 10     1.9     1.1     1.1 1
-1993  2 11     1.7     0.9     0.9 1
-1993  2 12     0.7    -0.1    -0.1 1
-1993  2 13    -1.0    -1.8    -1.8 1
-1993  2 14    -0.4    -1.2    -1.2 1
-1993  2 15     1.8     1.0     1.0 1
-1993  2 16     2.3     1.4     1.4 1
-1993  2 17    -0.3    -1.2    -1.2 1
-1993  2 18     0.1    -0.8    -0.8 1
-1993  2 19    -0.2    -1.1    -1.1 1
-1993  2 20    -6.9    -7.8    -7.8 1
-1993  2 21    -6.6    -7.5    -7.5 1
-1993  2 22    -6.8    -7.7    -7.7 1
-1993  2 23    -3.8    -4.7    -4.7 1
-1993  2 24    -2.7    -3.6    -3.6 1
-1993  2 25    -1.6    -2.5    -2.5 1
-1993  2 26    -0.7    -1.6    -1.6 1
-1993  2 27    -0.5    -1.4    -1.4 1
-1993  2 28    -0.9    -1.8    -1.8 1
-1993  3  1    -1.6    -2.5    -2.5 1
-1993  3  2    -2.1    -3.0    -3.0 1
-1993  3  3    -3.2    -4.1    -4.1 1
-1993  3  4    -0.3    -1.2    -1.2 1
-1993  3  5    -0.5    -1.4    -1.4 1
-1993  3  6     0.5    -0.4    -0.4 1
-1993  3  7    -1.7    -2.6    -2.6 1
-1993  3  8    -0.2    -1.1    -1.1 1
-1993  3  9     1.1     0.2     0.2 1
-1993  3 10     1.4     0.5     0.5 1
-1993  3 11    -1.1    -2.0    -2.0 1
-1993  3 12     0.1    -0.8    -0.8 1
-1993  3 13     0.9    -0.1    -0.1 1
-1993  3 14     4.4     3.4     3.4 1
-1993  3 15     7.1     6.1     6.1 1
-1993  3 16     6.6     5.6     5.6 1
-1993  3 17     5.9     5.0     5.0 1
-1993  3 18     6.2     5.3     5.3 1
-1993  3 19     3.7     2.8     2.8 1
-1993  3 20     5.6     4.7     4.7 1
-1993  3 21     7.3     6.4     6.4 1
-1993  3 22     5.3     4.4     4.4 1
-1993  3 23     6.1     5.2     5.2 1
-1993  3 24     3.1     2.2     2.2 1
-1993  3 25     1.9     1.0     1.0 1
-1993  3 26     0.1    -0.8    -0.8 1
-1993  3 27     0.4    -0.5    -0.5 1
-1993  3 28    -0.3    -1.2    -1.2 1
-1993  3 29     0.1    -0.8    -0.8 1
-1993  3 30     0.4    -0.5    -0.5 1
-1993  3 31     3.2     2.3     2.3 1
-1993  4  1     2.9     2.0     2.0 1
-1993  4  2     3.6     2.7     2.7 1
-1993  4  3     2.7     1.8     1.8 1
-1993  4  4     2.0     1.1     1.1 1
-1993  4  5     2.2     1.3     1.3 1
-1993  4  6     3.4     2.6     2.6 1
-1993  4  7     3.6     2.8     2.8 1
-1993  4  8     0.9     0.1     0.1 1
-1993  4  9    -0.6    -1.4    -1.4 1
-1993  4 10     0.7    -0.1    -0.1 1
-1993  4 11     1.3     0.5     0.5 1
-1993  4 12     1.4     0.6     0.6 1
-1993  4 13     2.8     2.0     2.0 1
-1993  4 14     4.2     3.4     3.4 1
-1993  4 15     3.0     2.2     2.2 1
-1993  4 16     4.3     3.5     3.5 1
-1993  4 17     6.3     5.5     5.5 1
-1993  4 18     5.6     4.7     4.7 1
-1993  4 19     3.3     2.4     2.4 1
-1993  4 20     2.3     1.4     1.4 1
-1993  4 21     4.9     4.0     4.0 1
-1993  4 22     9.7     8.8     8.8 1
-1993  4 23    11.4    10.4    10.4 1
-1993  4 24    12.9    11.9    11.9 1
-1993  4 25    14.7    13.7    13.7 1
-1993  4 26    16.6    15.6    15.6 1
-1993  4 27    19.3    18.3    18.3 1
-1993  4 28    12.8    11.8    11.8 1
-1993  4 29    10.3     9.2     9.2 1
-1993  4 30    12.9    11.8    11.8 1
-1993  5  1    12.9    11.8    11.8 1
-1993  5  2    14.4    13.3    13.3 1
-1993  5  3    14.2    13.1    13.1 1
-1993  5  4    11.4    10.2    10.2 1
-1993  5  5     9.6     8.4     8.4 1
-1993  5  6    11.6    10.4    10.4 1
-1993  5  7    14.7    13.5    13.5 1
-1993  5  8    16.2    15.0    15.0 1
-1993  5  9    12.8    11.5    11.5 1
-1993  5 10    13.6    12.3    12.3 1
-1993  5 11    15.1    13.8    13.8 1
-1993  5 12    16.1    14.8    14.8 1
-1993  5 13    12.3    11.0    11.0 1
-1993  5 14    15.5    14.1    14.1 1
-1993  5 15    18.4    17.0    17.0 1
-1993  5 16    15.1    13.7    13.7 1
-1993  5 17    13.9    12.5    12.5 1
-1993  5 18    15.9    14.6    14.6 1
-1993  5 19    16.2    14.9    14.9 1
-1993  5 20    19.0    17.7    17.7 1
-1993  5 21    18.1    16.8    16.8 1
-1993  5 22    15.8    14.5    14.5 1
-1993  5 23    18.2    16.9    16.9 1
-1993  5 24    18.5    17.2    17.2 1
-1993  5 25     8.1     6.8     6.8 1
-1993  5 26     9.0     7.7     7.7 1
-1993  5 27    11.0     9.7     9.7 1
-1993  5 28     9.5     8.2     8.2 1
-1993  5 29    12.8    11.6    11.6 1
-1993  5 30     9.9     8.7     8.7 1
-1993  5 31    11.3    10.1    10.1 1
-1993  6  1    12.4    11.2    11.2 1
-1993  6  2    12.6    11.4    11.4 1
-1993  6  3     9.9     8.7     8.7 1
-1993  6  4    12.6    11.4    11.4 1
-1993  6  5    16.5    15.3    15.3 1
-1993  6  6    15.0    13.8    13.8 1
-1993  6  7    12.9    11.7    11.7 1
-1993  6  8    12.2    11.0    11.0 1
-1993  6  9    16.9    15.8    15.8 1
-1993  6 10    18.9    17.8    17.8 1
-1993  6 11    12.5    11.4    11.4 1
-1993  6 12     9.4     8.3     8.3 1
-1993  6 13     9.4     8.3     8.3 1
-1993  6 14    11.2    10.1    10.1 1
-1993  6 15    10.8     9.7     9.7 1
-1993  6 16    12.6    11.5    11.5 1
-1993  6 17    12.8    11.7    11.7 1
-1993  6 18    12.5    11.4    11.4 1
-1993  6 19    15.1    14.0    14.0 1
-1993  6 20    15.0    13.9    13.9 1
-1993  6 21    13.2    12.1    12.1 1
-1993  6 22    11.8    10.7    10.7 1
-1993  6 23    13.3    12.2    12.2 1
-1993  6 24    13.5    12.4    12.4 1
-1993  6 25    11.6    10.5    10.5 1
-1993  6 26    14.6    13.5    13.5 1
-1993  6 27    16.2    15.1    15.1 1
-1993  6 28    15.0    13.9    13.9 1
-1993  6 29    14.4    13.3    13.3 1
-1993  6 30    15.6    14.6    14.6 1
-1993  7  1    19.4    18.4    18.4 1
-1993  7  2    19.3    18.3    18.3 1
-1993  7  3    15.6    14.6    14.6 1
-1993  7  4    17.4    16.4    16.4 1
-1993  7  5    16.5    15.5    15.5 1
-1993  7  6    15.6    14.6    14.6 1
-1993  7  7    14.2    13.2    13.2 1
-1993  7  8    15.9    14.9    14.9 1
-1993  7  9    16.2    15.2    15.2 1
-1993  7 10    18.9    17.9    17.9 1
-1993  7 11    15.1    14.1    14.1 1
-1993  7 12    16.2    15.2    15.2 1
-1993  7 13    15.1    14.1    14.1 1
-1993  7 14    16.9    15.9    15.9 1
-1993  7 15    16.4    15.4    15.4 1
-1993  7 16    18.3    17.3    17.3 1
-1993  7 17    19.4    18.4    18.4 1
-1993  7 18    18.8    17.8    17.8 1
-1993  7 19    17.4    16.4    16.4 1
-1993  7 20    18.6    17.6    17.6 1
-1993  7 21    15.8    14.8    14.8 1
-1993  7 22    16.8    15.8    15.8 1
-1993  7 23    16.2    15.2    15.2 1
-1993  7 24    17.0    16.1    16.1 1
-1993  7 25    18.1    17.2    17.2 1
-1993  7 26    14.5    13.6    13.6 1
-1993  7 27    14.9    14.0    14.0 1
-1993  7 28    15.1    14.2    14.2 1
-1993  7 29    15.1    14.2    14.2 1
-1993  7 30    15.9    15.0    15.0 1
-1993  7 31    16.4    15.5    15.5 1
-1993  8  1    15.3    14.4    14.4 1
-1993  8  2    16.3    15.4    15.4 1
-1993  8  3    16.9    16.0    16.0 1
-1993  8  4    17.0    16.1    16.1 1
-1993  8  5    17.2    16.3    16.3 1
-1993  8  6    16.3    15.5    15.5 1
-1993  8  7    14.4    13.6    13.6 1
-1993  8  8    16.4    15.6    15.6 1
-1993  8  9    17.5    16.7    16.7 1
-1993  8 10    15.9    15.1    15.1 1
-1993  8 11    15.7    14.9    14.9 1
-1993  8 12    14.3    13.5    13.5 1
-1993  8 13    15.3    14.5    14.5 1
-1993  8 14    15.2    14.4    14.4 1
-1993  8 15    15.3    14.5    14.5 1
-1993  8 16    17.7    16.9    16.9 1
-1993  8 17    13.7    13.0    13.0 1
-1993  8 18    13.2    12.5    12.5 1
-1993  8 19    13.6    12.9    12.9 1
-1993  8 20    14.8    14.1    14.1 1
-1993  8 21    13.8    13.1    13.1 1
-1993  8 22    13.2    12.5    12.5 1
-1993  8 23    11.7    11.0    11.0 1
-1993  8 24    10.5     9.9     9.9 1
-1993  8 25    11.8    11.2    11.2 1
-1993  8 26    12.2    11.6    11.6 1
-1993  8 27    10.4     9.8     9.8 1
-1993  8 28    12.4    11.8    11.8 1
-1993  8 29    13.1    12.5    12.5 1
-1993  8 30    12.3    11.8    11.8 1
-1993  8 31    11.7    11.2    11.2 1
-1993  9  1    12.3    11.8    11.8 1
-1993  9  2    13.7    13.2    13.2 1
-1993  9  3    10.0     9.5     9.5 1
-1993  9  4     8.9     8.4     8.4 1
-1993  9  5    10.6    10.1    10.1 1
-1993  9  6    10.5    10.1    10.1 1
-1993  9  7     8.8     8.4     8.4 1
-1993  9  8    11.4    11.0    11.0 1
-1993  9  9    12.9    12.5    12.5 1
-1993  9 10    12.0    11.6    11.6 1
-1993  9 11    10.5    10.1    10.1 1
-1993  9 12     9.3     9.0     9.0 1
-1993  9 13     8.4     8.1     8.1 1
-1993  9 14     8.1     7.8     7.8 1
-1993  9 15     7.0     6.7     6.7 1
-1993  9 16     6.5     6.2     6.2 1
-1993  9 17     7.5     7.2     7.2 1
-1993  9 18     7.1     6.8     6.8 1
-1993  9 19     9.3     9.0     9.0 1
-1993  9 20     9.3     9.0     9.0 1
-1993  9 21    11.5    11.2    11.2 1
-1993  9 22    13.6    13.3    13.3 1
-1993  9 23    10.4    10.1    10.1 1
-1993  9 24     8.9     8.6     8.6 1
-1993  9 25     8.8     8.5     8.5 1
-1993  9 26     8.1     7.8     7.8 1
-1993  9 27     8.4     8.1     8.1 1
-1993  9 28     7.3     7.0     7.0 1
-1993  9 29     8.1     7.8     7.8 1
-1993  9 30     7.3     7.0     7.0 1
-1993 10  1     6.3     6.0     6.0 1
-1993 10  2     7.9     7.6     7.6 1
-1993 10  3     7.6     7.3     7.3 1
-1993 10  4    10.9    10.6    10.6 1
-1993 10  5    12.3    12.0    12.0 1
-1993 10  6    11.6    11.3    11.3 1
-1993 10  7    11.3    11.0    11.0 1
-1993 10  8    11.4    11.1    11.1 1
-1993 10  9     9.0     8.7     8.7 1
-1993 10 10    10.7    10.5    10.5 1
-1993 10 11     9.1     8.9     8.9 1
-1993 10 12     8.9     8.7     8.7 1
-1993 10 13     9.2     9.0     9.0 1
-1993 10 14     3.2     3.0     3.0 1
-1993 10 15     1.8     1.6     1.6 1
-1993 10 16     3.3     3.1     3.1 1
-1993 10 17     1.8     1.5     1.5 1
-1993 10 18     3.6     3.3     3.3 1
-1993 10 19     7.7     7.4     7.4 1
-1993 10 20     7.0     6.7     6.7 1
-1993 10 21     4.2     3.9     3.9 1
-1993 10 22     1.1     0.8     0.8 1
-1993 10 23     0.5     0.2     0.2 1
-1993 10 24     3.7     3.4     3.4 1
-1993 10 25     5.3     5.0     5.0 1
-1993 10 26     8.0     7.7     7.7 1
-1993 10 27     8.2     7.9     7.9 1
-1993 10 28     6.7     6.4     6.4 1
-1993 10 29     3.0     2.7     2.7 1
-1993 10 30     2.3     1.9     1.9 1
-1993 10 31     3.2     2.8     2.8 1
-1993 11  1     1.5     1.1     1.1 1
-1993 11  2     3.4     3.0     3.0 1
-1993 11  3     2.5     2.1     2.1 1
-1993 11  4     3.9     3.5     3.5 1
-1993 11  5     2.8     2.4     2.4 1
-1993 11  6     2.5     2.1     2.1 1
-1993 11  7     2.9     2.5     2.5 1
-1993 11  8     4.3     3.9     3.9 1
-1993 11  9     3.8     3.4     3.4 1
-1993 11 10     3.9     3.5     3.5 1
-1993 11 11     2.4     2.0     2.0 1
-1993 11 12     3.3     2.9     2.9 1
-1993 11 13     5.1     4.6     4.6 1
-1993 11 14     3.7     3.2     3.2 1
-1993 11 15     0.7     0.2     0.2 1
-1993 11 16    -0.7    -1.2    -1.2 1
-1993 11 17     1.3     0.8     0.8 1
-1993 11 18     1.8     1.3     1.3 1
-1993 11 19     1.1     0.6     0.6 1
-1993 11 20    -3.2    -3.7    -3.7 1
-1993 11 21    -3.2    -3.7    -3.7 1
-1993 11 22    -0.1    -0.6    -0.6 1
-1993 11 23     1.0     0.5     0.5 1
-1993 11 24     0.8     0.3     0.3 1
-1993 11 25     0.0    -0.5    -0.5 1
-1993 11 26     0.0    -0.5    -0.5 1
-1993 11 27    -0.6    -1.1    -1.1 1
-1993 11 28    -0.3    -0.8    -0.8 1
-1993 11 29    -1.4    -1.9    -1.9 1
-1993 11 30    -1.4    -1.9    -1.9 1
-1993 12  1    -0.4    -0.9    -0.9 1
-1993 12  2     1.1     0.6     0.6 1
-1993 12  3     1.4     0.9     0.9 1
-1993 12  4     3.8     3.3     3.3 1
-1993 12  5     3.2     2.6     2.6 1
-1993 12  6     2.1     1.5     1.5 1
-1993 12  7     4.9     4.3     4.3 1
-1993 12  8     3.4     2.8     2.8 1
-1993 12  9    -1.5    -2.1    -2.1 1
-1993 12 10    -2.7    -3.3    -3.3 1
-1993 12 11     1.1     0.5     0.5 1
-1993 12 12    -0.2    -0.8    -0.8 1
-1993 12 13    -4.0    -4.6    -4.6 1
-1993 12 14    -7.1    -7.7    -7.7 1
-1993 12 15    -2.0    -2.6    -2.6 1
-1993 12 16     2.1     1.5     1.5 1
-1993 12 17     2.0     1.4     1.4 1
-1993 12 18    -0.4    -1.0    -1.0 1
-1993 12 19     5.9     5.3     5.3 1
-1993 12 20     0.6     0.0     0.0 1
-1993 12 21    -0.4    -1.0    -1.0 1
-1993 12 22     0.6     0.0     0.0 1
-1993 12 23    -0.9    -1.5    -1.5 1
-1993 12 24    -1.0    -1.6    -1.6 1
-1993 12 25    -0.4    -1.1    -1.1 1
-1993 12 26    -2.2    -2.9    -2.9 1
-1993 12 27    -2.7    -3.4    -3.4 1
-1993 12 28    -3.4    -4.1    -4.1 1
-1993 12 29     1.0     0.3     0.3 1
-1993 12 30     1.2     0.5     0.5 1
-1993 12 31     0.2    -0.5    -0.5 1
-1994  1  1    -1.2    -1.9    -1.9 1
-1994  1  2    -3.0    -3.7    -3.7 1
-1994  1  3    -3.9    -4.6    -4.6 1
-1994  1  4    -2.8    -3.5    -3.5 1
-1994  1  5     0.3    -0.4    -0.4 1
-1994  1  6     1.2     0.5     0.5 1
-1994  1  7     1.7     1.0     1.0 1
-1994  1  8     2.4     1.7     1.7 1
-1994  1  9    -2.2    -2.9    -2.9 1
-1994  1 10    -1.6    -2.3    -2.3 1
-1994  1 11    -1.5    -2.3    -2.3 1
-1994  1 12     1.2     0.4     0.4 1
-1994  1 13     3.9     3.1     3.1 1
-1994  1 14     3.9     3.1     3.1 1
-1994  1 15     1.4     0.6     0.6 1
-1994  1 16    -6.1    -6.9    -6.9 1
-1994  1 17    -8.9    -9.7    -9.7 1
-1994  1 18    -8.4    -9.2    -9.2 1
-1994  1 19    -2.2    -3.0    -3.0 1
-1994  1 20     1.6     0.8     0.8 1
-1994  1 21     5.4     4.6     4.6 1
-1994  1 22     2.9     2.1     2.1 1
-1994  1 23     0.8     0.0     0.0 1
-1994  1 24    -1.5    -2.3    -2.3 1
-1994  1 25    -3.5    -4.3    -4.3 1
-1994  1 26    -0.4    -1.2    -1.2 1
-1994  1 27     0.6    -0.2    -0.2 1
-1994  1 28    -4.8    -5.6    -5.6 1
-1994  1 29   -10.4   -11.2   -11.2 1
-1994  1 30    -4.7    -5.5    -5.5 1
-1994  1 31    -2.2    -3.0    -3.0 1
-1994  2  1    -7.4    -8.2    -8.2 1
-1994  2  2    -5.4    -6.2    -6.2 1
-1994  2  3    -7.5    -8.3    -8.3 1
-1994  2  4    -8.5    -9.3    -9.3 1
-1994  2  5    -9.2   -10.0   -10.0 1
-1994  2  6    -5.3    -6.1    -6.1 1
-1994  2  7    -7.1    -7.9    -7.9 1
-1994  2  8    -4.5    -5.3    -5.3 1
-1994  2  9    -1.3    -2.1    -2.1 1
-1994  2 10    -2.7    -3.5    -3.5 1
-1994  2 11    -7.3    -8.1    -8.1 1
-1994  2 12    -8.4    -9.2    -9.2 1
-1994  2 13    -7.2    -8.0    -8.0 1
-1994  2 14    -8.5    -9.3    -9.3 1
-1994  2 15    -7.0    -7.9    -7.9 1
-1994  2 16    -6.2    -7.1    -7.1 1
-1994  2 17    -6.5    -7.4    -7.4 1
-1994  2 18    -5.8    -6.7    -6.7 1
-1994  2 19    -4.1    -5.0    -5.0 1
-1994  2 20    -5.6    -6.5    -6.5 1
-1994  2 21    -6.2    -7.1    -7.1 1
-1994  2 22    -3.8    -4.7    -4.7 1
-1994  2 23    -3.2    -4.1    -4.1 1
-1994  2 24    -6.7    -7.6    -7.6 1
-1994  2 25    -5.7    -6.6    -6.6 1
-1994  2 26    -5.6    -6.5    -6.5 1
-1994  2 27    -5.6    -6.5    -6.5 1
-1994  2 28    -7.4    -8.3    -8.3 1
-1994  3  1    -8.8    -9.7    -9.7 1
-1994  3  2    -7.2    -8.1    -8.1 1
-1994  3  3    -4.3    -5.2    -5.2 1
-1994  3  4    -1.8    -2.7    -2.7 1
-1994  3  5     0.7    -0.2    -0.2 1
-1994  3  6     1.6     0.7     0.7 1
-1994  3  7     2.5     1.6     1.6 1
-1994  3  8     2.9     2.0     2.0 1
-1994  3  9     5.6     4.7     4.7 1
-1994  3 10     3.7     2.8     2.8 1
-1994  3 11     3.7     2.8     2.8 1
-1994  3 12     3.4     2.5     2.5 1
-1994  3 13     1.2     0.2     0.2 1
-1994  3 14     0.7    -0.3    -0.3 1
-1994  3 15     1.8     0.8     0.8 1
-1994  3 16     2.1     1.1     1.1 1
-1994  3 17     1.0     0.1     0.1 1
-1994  3 18    -0.1    -1.0    -1.0 1
-1994  3 19    -1.0    -1.9    -1.9 1
-1994  3 20    -1.0    -1.9    -1.9 1
-1994  3 21    -0.7    -1.6    -1.6 1
-1994  3 22     0.3    -0.6    -0.6 1
-1994  3 23     3.0     2.1     2.1 1
-1994  3 24     2.7     1.8     1.8 1
-1994  3 25     0.1    -0.8    -0.8 1
-1994  3 26    -3.0    -3.9    -3.9 1
-1994  3 27    -0.9    -1.8    -1.8 1
-1994  3 28     2.4     1.5     1.5 1
-1994  3 29     2.6     1.7     1.7 1
-1994  3 30     5.6     4.7     4.7 1
-1994  3 31     6.1     5.2     5.2 1
-1994  4  1     4.6     3.7     3.7 1
-1994  4  2     7.1     6.2     6.2 1
-1994  4  3     6.8     5.9     5.9 1
-1994  4  4     4.3     3.4     3.4 1
-1994  4  5     3.1     2.2     2.2 1
-1994  4  6     4.9     4.1     4.1 1
-1994  4  7     2.1     1.3     1.3 1
-1994  4  8     5.0     4.2     4.2 1
-1994  4  9     5.2     4.4     4.4 1
-1994  4 10     4.4     3.6     3.6 1
-1994  4 11     6.6     5.8     5.8 1
-1994  4 12     7.7     6.9     6.9 1
-1994  4 13     6.7     5.9     5.9 1
-1994  4 14     4.2     3.4     3.4 1
-1994  4 15     3.6     2.8     2.8 1
-1994  4 16     7.2     6.4     6.4 1
-1994  4 17     4.1     3.3     3.3 1
-1994  4 18     3.0     2.1     2.1 1
-1994  4 19     3.2     2.3     2.3 1
-1994  4 20     5.6     4.7     4.7 1
-1994  4 21     6.4     5.5     5.5 1
-1994  4 22     8.6     7.7     7.7 1
-1994  4 23    11.4    10.4    10.4 1
-1994  4 24    11.8    10.8    10.8 1
-1994  4 25    10.0     9.0     9.0 1
-1994  4 26     9.9     8.9     8.9 1
-1994  4 27    12.6    11.6    11.6 1
-1994  4 28    13.7    12.7    12.7 1
-1994  4 29    13.6    12.5    12.5 1
-1994  4 30     7.7     6.6     6.6 1
-1994  5  1     5.7     4.6     4.6 1
-1994  5  2     6.0     4.9     4.9 1
-1994  5  3     7.5     6.4     6.4 1
-1994  5  4     8.0     6.8     6.8 1
-1994  5  5     8.2     7.0     7.0 1
-1994  5  6    10.6     9.4     9.4 1
-1994  5  7    12.6    11.4    11.4 1
-1994  5  8    12.8    11.6    11.6 1
-1994  5  9    13.4    12.1    12.1 1
-1994  5 10    14.4    13.1    13.1 1
-1994  5 11    13.8    12.5    12.5 1
-1994  5 12    11.2     9.9     9.9 1
-1994  5 13     7.3     6.0     6.0 1
-1994  5 14    11.1     9.7     9.7 1
-1994  5 15    11.4    10.0    10.0 1
-1994  5 16     8.8     7.4     7.4 1
-1994  5 17     7.8     6.4     6.4 1
-1994  5 18     8.1     6.8     6.8 1
-1994  5 19     8.5     7.2     7.2 1
-1994  5 20     9.4     8.1     8.1 1
-1994  5 21     7.6     6.3     6.3 1
-1994  5 22    10.0     8.7     8.7 1
-1994  5 23    12.2    10.9    10.9 1
-1994  5 24    11.5    10.2    10.2 1
-1994  5 25    13.1    11.8    11.8 1
-1994  5 26     7.3     6.0     6.0 1
-1994  5 27     8.3     7.0     7.0 1
-1994  5 28    10.1     8.8     8.8 1
-1994  5 29     9.2     8.0     8.0 1
-1994  5 30    10.1     8.9     8.9 1
-1994  5 31    10.8     9.6     9.6 1
-1994  6  1    12.0    10.8    10.8 1
-1994  6  2    15.0    13.8    13.8 1
-1994  6  3    12.3    11.1    11.1 1
-1994  6  4    11.9    10.7    10.7 1
-1994  6  5    12.9    11.7    11.7 1
-1994  6  6    13.4    12.2    12.2 1
-1994  6  7    13.1    11.9    11.9 1
-1994  6  8    14.7    13.5    13.5 1
-1994  6  9    10.9     9.8     9.8 1
-1994  6 10    13.7    12.6    12.6 1
-1994  6 11    15.1    14.0    14.0 1
-1994  6 12    16.6    15.5    15.5 1
-1994  6 13    15.7    14.6    14.6 1
-1994  6 14    19.1    18.0    18.0 1
-1994  6 15    12.1    11.0    11.0 1
-1994  6 16     9.0     7.9     7.9 1
-1994  6 17    10.4     9.3     9.3 1
-1994  6 18    12.6    11.5    11.5 1
-1994  6 19    13.2    12.1    12.1 1
-1994  6 20    13.2    12.1    12.1 1
-1994  6 21    16.5    15.4    15.4 1
-1994  6 22    14.4    13.3    13.3 1
-1994  6 23    11.7    10.6    10.6 1
-1994  6 24    11.7    10.6    10.6 1
-1994  6 25    15.9    14.8    14.8 1
-1994  6 26    15.8    14.7    14.7 1
-1994  6 27    18.4    17.3    17.3 1
-1994  6 28    19.6    18.5    18.5 1
-1994  6 29    21.1    20.0    20.0 1
-1994  6 30    18.0    17.0    17.0 1
-1994  7  1    16.4    15.4    15.4 1
-1994  7  2    18.4    17.4    17.4 1
-1994  7  3    21.6    20.6    20.6 1
-1994  7  4    17.5    16.5    16.5 1
-1994  7  5    16.0    15.0    15.0 1
-1994  7  6    17.8    16.8    16.8 1
-1994  7  7    19.8    18.8    18.8 1
-1994  7  8    20.4    19.4    19.4 1
-1994  7  9    22.1    21.1    21.1 1
-1994  7 10    22.7    21.7    21.7 1
-1994  7 11    24.0    23.0    23.0 1
-1994  7 12    25.4    24.4    24.4 1
-1994  7 13    25.8    24.8    24.8 1
-1994  7 14    26.6    25.6    25.6 1
-1994  7 15    25.7    24.7    24.7 1
-1994  7 16    21.1    20.1    20.1 1
-1994  7 17    16.5    15.5    15.5 1
-1994  7 18    17.0    16.0    16.0 1
-1994  7 19    19.1    18.1    18.1 1
-1994  7 20    20.6    19.6    19.6 1
-1994  7 21    19.7    18.7    18.7 1
-1994  7 22    21.9    20.9    20.9 1
-1994  7 23    23.2    22.2    22.2 1
-1994  7 24    20.7    19.8    19.8 1
-1994  7 25    20.9    20.0    20.0 1
-1994  7 26    23.1    22.2    22.2 1
-1994  7 27    26.0    25.1    25.1 1
-1994  7 28    27.2    26.3    26.3 1
-1994  7 29    26.7    25.8    25.8 1
-1994  7 30    21.9    21.0    21.0 1
-1994  7 31    21.7    20.8    20.8 1
-1994  8  1    24.2    23.3    23.3 1
-1994  8  2    21.5    20.6    20.6 1
-1994  8  3    23.5    22.6    22.6 1
-1994  8  4    24.2    23.3    23.3 1
-1994  8  5    25.3    24.4    24.4 1
-1994  8  6    20.2    19.4    19.4 1
-1994  8  7    17.1    16.3    16.3 1
-1994  8  8    17.7    16.9    16.9 1
-1994  8  9    19.3    18.5    18.5 1
-1994  8 10    18.4    17.6    17.6 1
-1994  8 11    18.6    17.8    17.8 1
-1994  8 12    16.8    16.0    16.0 1
-1994  8 13    17.8    17.0    17.0 1
-1994  8 14    17.0    16.2    16.2 1
-1994  8 15    15.7    14.9    14.9 1
-1994  8 16    15.2    14.4    14.4 1
-1994  8 17    15.5    14.8    14.8 1
-1994  8 18    16.0    15.3    15.3 1
-1994  8 19    14.6    13.9    13.9 1
-1994  8 20    14.0    13.3    13.3 1
-1994  8 21    14.3    13.6    13.6 1
-1994  8 22    15.5    14.8    14.8 1
-1994  8 23    14.6    13.9    13.9 1
-1994  8 24    16.1    15.5    15.5 1
-1994  8 25    15.9    15.3    15.3 1
-1994  8 26    16.7    16.1    16.1 1
-1994  8 27    16.9    16.3    16.3 1
-1994  8 28    14.5    13.9    13.9 1
-1994  8 29    13.5    12.9    12.9 1
-1994  8 30    12.5    12.0    12.0 1
-1994  8 31    13.8    13.3    13.3 1
-1994  9  1    15.3    14.8    14.8 1
-1994  9  2    14.7    14.2    14.2 1
-1994  9  3    15.0    14.5    14.5 1
-1994  9  4    12.0    11.5    11.5 1
-1994  9  5    11.3    10.8    10.8 1
-1994  9  6    11.2    10.8    10.8 1
-1994  9  7    13.1    12.7    12.7 1
-1994  9  8    13.6    13.2    13.2 1
-1994  9  9    13.4    13.0    13.0 1
-1994  9 10    14.1    13.7    13.7 1
-1994  9 11    12.8    12.4    12.4 1
-1994  9 12    13.3    13.0    13.0 1
-1994  9 13    13.3    13.0    13.0 1
-1994  9 14    13.6    13.3    13.3 1
-1994  9 15    13.0    12.7    12.7 1
-1994  9 16    13.4    13.1    13.1 1
-1994  9 17    13.2    12.9    12.9 1
-1994  9 18     9.3     9.0     9.0 1
-1994  9 19     9.7     9.4     9.4 1
-1994  9 20    12.6    12.3    12.3 1
-1994  9 21    11.6    11.3    11.3 1
-1994  9 22    11.5    11.2    11.2 1
-1994  9 23    13.3    13.0    13.0 1
-1994  9 24    14.2    13.9    13.9 1
-1994  9 25    10.2     9.9     9.9 1
-1994  9 26    10.8    10.5    10.5 1
-1994  9 27    10.3    10.0    10.0 1
-1994  9 28     8.8     8.5     8.5 1
-1994  9 29     7.7     7.4     7.4 1
-1994  9 30     8.9     8.6     8.6 1
-1994 10  1     6.4     6.1     6.1 1
-1994 10  2     5.8     5.5     5.5 1
-1994 10  3     6.5     6.2     6.2 1
-1994 10  4     2.8     2.5     2.5 1
-1994 10  5     4.3     4.0     4.0 1
-1994 10  6     5.2     4.9     4.9 1
-1994 10  7    10.5    10.2    10.2 1
-1994 10  8    10.0     9.7     9.7 1
-1994 10  9     9.3     9.0     9.0 1
-1994 10 10     7.5     7.3     7.3 1
-1994 10 11     7.9     7.7     7.7 1
-1994 10 12     8.9     8.7     8.7 1
-1994 10 13     9.6     9.4     9.4 1
-1994 10 14    10.1     9.9     9.9 1
-1994 10 15     7.7     7.5     7.5 1
-1994 10 16     1.7     1.5     1.5 1
-1994 10 17     2.0     1.7     1.7 1
-1994 10 18     1.7     1.4     1.4 1
-1994 10 19     1.5     1.2     1.2 1
-1994 10 20     3.5     3.2     3.2 1
-1994 10 21     4.9     4.6     4.6 1
-1994 10 22     6.6     6.3     6.3 1
-1994 10 23     7.3     7.0     7.0 1
-1994 10 24     8.8     8.5     8.5 1
-1994 10 25     9.1     8.8     8.8 1
-1994 10 26     7.8     7.5     7.5 1
-1994 10 27     7.4     7.1     7.1 1
-1994 10 28     7.6     7.3     7.3 1
-1994 10 29     6.5     6.2     6.2 1
-1994 10 30     6.2     5.8     5.8 1
-1994 10 31     5.8     5.4     5.4 1
-1994 11  1     8.3     7.9     7.9 1
-1994 11  2     5.9     5.5     5.5 1
-1994 11  3     3.8     3.4     3.4 1
-1994 11  4     4.9     4.5     4.5 1
-1994 11  5     6.5     6.1     6.1 1
-1994 11  6     5.3     4.9     4.9 1
-1994 11  7     6.2     5.8     5.8 1
-1994 11  8     5.3     4.9     4.9 1
-1994 11  9     2.3     1.9     1.9 1
-1994 11 10     0.4     0.0     0.0 1
-1994 11 11    -2.3    -2.7    -2.7 1
-1994 11 12    -3.2    -3.6    -3.6 1
-1994 11 13    -1.6    -2.1    -2.1 1
-1994 11 14     3.9     3.4     3.4 1
-1994 11 15     7.6     7.1     7.1 1
-1994 11 16     2.3     1.8     1.8 1
-1994 11 17     1.2     0.7     0.7 1
-1994 11 18    -0.6    -1.1    -1.1 1
-1994 11 19    -1.0    -1.5    -1.5 1
-1994 11 20     5.3     4.8     4.8 1
-1994 11 21     4.4     3.9     3.9 1
-1994 11 22     5.0     4.5     4.5 1
-1994 11 23    10.0     9.5     9.5 1
-1994 11 24     7.2     6.7     6.7 1
-1994 11 25     2.7     2.2     2.2 1
-1994 11 26     2.1     1.6     1.6 1
-1994 11 27     3.2     2.7     2.7 1
-1994 11 28     5.2     4.7     4.7 1
-1994 11 29     3.2     2.7     2.7 1
-1994 11 30     0.0    -0.5    -0.5 1
-1994 12  1     2.4     1.9     1.9 1
-1994 12  2     3.5     3.0     3.0 1
-1994 12  3     1.1     0.6     0.6 1
-1994 12  4     3.7     3.2     3.2 1
-1994 12  5     4.9     4.3     4.3 1
-1994 12  6     5.2     4.6     4.6 1
-1994 12  7     4.6     4.0     4.0 1
-1994 12  8     4.3     3.7     3.7 1
-1994 12  9     5.3     4.7     4.7 1
-1994 12 10     4.3     3.7     3.7 1
-1994 12 11     5.3     4.7     4.7 1
-1994 12 12     1.2     0.6     0.6 1
-1994 12 13    -1.3    -1.9    -1.9 1
-1994 12 14    -1.6    -2.2    -2.2 1
-1994 12 15    -2.5    -3.1    -3.1 1
-1994 12 16    -1.3    -1.9    -1.9 1
-1994 12 17     0.2    -0.4    -0.4 1
-1994 12 18     2.4     1.8     1.8 1
-1994 12 19     3.2     2.6     2.6 1
-1994 12 20     3.3     2.7     2.7 1
-1994 12 21     2.0     1.4     1.4 1
-1994 12 22    -1.0    -1.6    -1.6 1
-1994 12 23     0.9     0.3     0.3 1
-1994 12 24     4.5     3.9     3.9 1
-1994 12 25     3.9     3.2     3.2 1
-1994 12 26     2.2     1.5     1.5 1
-1994 12 27     1.1     0.4     0.4 1
-1994 12 28     0.2    -0.5    -0.5 1
-1994 12 29     3.9     3.2     3.2 1
-1994 12 30     4.7     4.0     4.0 1
-1994 12 31     3.4     2.7     2.7 1
-1995  1  1     0.4    -0.3    -0.3 1
-1995  1  2    -0.8    -1.5    -1.5 1
-1995  1  3    -6.4    -7.1    -7.1 1
-1995  1  4    -4.2    -4.9    -4.9 1
-1995  1  5    -3.4    -4.1    -4.1 1
-1995  1  6    -1.2    -1.9    -1.9 1
-1995  1  7    -3.1    -3.8    -3.8 1
-1995  1  8    -1.7    -2.4    -2.4 1
-1995  1  9    -0.1    -0.8    -0.8 1
-1995  1 10     0.9     0.2     0.2 1
-1995  1 11    -0.6    -1.4    -1.4 1
-1995  1 12    -1.6    -2.4    -2.4 1
-1995  1 13    -5.5    -6.3    -6.3 1
-1995  1 14     1.2     0.4     0.4 1
-1995  1 15     1.8     1.0     1.0 1
-1995  1 16     1.5     0.7     0.7 1
-1995  1 17     2.9     2.1     2.1 1
-1995  1 18     2.8     2.0     2.0 1
-1995  1 19     0.2    -0.6    -0.6 1
-1995  1 20     0.7    -0.1    -0.1 1
-1995  1 21     0.4    -0.4    -0.4 1
-1995  1 22     0.6    -0.2    -0.2 1
-1995  1 23     0.5    -0.3    -0.3 1
-1995  1 24    -2.4    -3.2    -3.2 1
-1995  1 25    -2.4    -3.2    -3.2 1
-1995  1 26    -3.0    -3.8    -3.8 1
-1995  1 27    -5.9    -6.7    -6.7 1
-1995  1 28    -6.4    -7.2    -7.2 1
-1995  1 29    -4.6    -5.4    -5.4 1
-1995  1 30    -7.4    -8.2    -8.2 1
-1995  1 31    -7.6    -8.4    -8.4 1
-1995  2  1     1.4     0.6     0.6 1
-1995  2  2     1.7     0.9     0.9 1
-1995  2  3    -1.3    -2.1    -2.1 1
-1995  2  4     4.0     3.2     3.2 1
-1995  2  5     2.0     1.2     1.2 1
-1995  2  6     4.5     3.7     3.7 1
-1995  2  7    -0.5    -1.3    -1.3 1
-1995  2  8    -4.2    -5.0    -5.0 1
-1995  2  9    -4.1    -4.9    -4.9 1
-1995  2 10    -3.0    -3.8    -3.8 1
-1995  2 11    -4.2    -5.0    -5.0 1
-1995  2 12     0.1    -0.7    -0.7 1
-1995  2 13     3.2     2.4     2.4 1
-1995  2 14     3.2     2.4     2.4 1
-1995  2 15     2.6     1.8     1.8 1
-1995  2 16     3.0     2.1     2.1 1
-1995  2 17     2.4     1.5     1.5 1
-1995  2 18     1.3     0.4     0.4 1
-1995  2 19     0.9     0.0     0.0 1
-1995  2 20     3.8     2.9     2.9 1
-1995  2 21     1.5     0.6     0.6 1
-1995  2 22     1.6     0.7     0.7 1
-1995  2 23     3.4     2.5     2.5 1
-1995  2 24     2.4     1.5     1.5 1
-1995  2 25     0.0    -0.9    -0.9 1
-1995  2 26    -0.6    -1.5    -1.5 1
-1995  2 27    -1.7    -2.6    -2.6 1
-1995  2 28     4.3     3.4     3.4 1
-1995  3  1     5.0     4.1     4.1 1
-1995  3  2     2.6     1.7     1.7 1
-1995  3  3     2.1     1.2     1.2 1
-1995  3  4     2.5     1.6     1.6 1
-1995  3  5     2.1     1.2     1.2 1
-1995  3  6     1.2     0.3     0.3 1
-1995  3  7     3.6     2.7     2.7 1
-1995  3  8     1.2     0.3     0.3 1
-1995  3  9     0.8    -0.1    -0.1 1
-1995  3 10     2.4     1.5     1.5 1
-1995  3 11     2.0     1.1     1.1 1
-1995  3 12     3.5     2.6     2.6 1
-1995  3 13     3.0     2.0     2.0 1
-1995  3 14    -0.5    -1.5    -1.5 1
-1995  3 15    -0.9    -1.9    -1.9 1
-1995  3 16     0.7    -0.3    -0.3 1
-1995  3 17     2.1     1.2     1.2 1
-1995  3 18     2.7     1.8     1.8 1
-1995  3 19     2.6     1.7     1.7 1
-1995  3 20     2.1     1.2     1.2 1
-1995  3 21     1.7     0.8     0.8 1
-1995  3 22     2.9     2.0     2.0 1
-1995  3 23     6.6     5.7     5.7 1
-1995  3 24     6.9     6.0     6.0 1
-1995  3 25     4.1     3.2     3.2 1
-1995  3 26     3.3     2.4     2.4 1
-1995  3 27    -0.8    -1.7    -1.7 1
-1995  3 28    -1.8    -2.7    -2.7 1
-1995  3 29     0.9     0.0     0.0 1
-1995  3 30     0.5    -0.4    -0.4 1
-1995  3 31     2.3     1.4     1.4 1
-1995  4  1     5.3     4.4     4.4 1
-1995  4  2     3.8     2.9     2.9 1
-1995  4  3     2.7     1.8     1.8 1
-1995  4  4     2.9     2.0     2.0 1
-1995  4  5     2.5     1.6     1.6 1
-1995  4  6     2.6     1.8     1.8 1
-1995  4  7     0.4    -0.4    -0.4 1
-1995  4  8     1.2     0.4     0.4 1
-1995  4  9     1.4     0.6     0.6 1
-1995  4 10     2.1     1.3     1.3 1
-1995  4 11     4.4     3.6     3.6 1
-1995  4 12     5.1     4.3     4.3 1
-1995  4 13     5.9     5.1     5.1 1
-1995  4 14     7.1     6.3     6.3 1
-1995  4 15     6.9     6.1     6.1 1
-1995  4 16     5.8     5.0     5.0 1
-1995  4 17     2.9     2.1     2.1 1
-1995  4 18     2.5     1.6     1.6 1
-1995  4 19     4.1     3.2     3.2 1
-1995  4 20     1.9     1.0     1.0 1
-1995  4 21     5.1     4.2     4.2 1
-1995  4 22     6.0     5.1     5.1 1
-1995  4 23    11.3    10.3    10.3 1
-1995  4 24    11.4    10.4    10.4 1
-1995  4 25     8.1     7.1     7.1 1
-1995  4 26     5.3     4.3     4.3 1
-1995  4 27     2.8     1.8     1.8 1
-1995  4 28     0.7    -0.3    -0.3 1
-1995  4 29     0.9    -0.2    -0.2 1
-1995  4 30     2.8     1.7     1.7 1
-1995  5  1     4.4     3.3     3.3 1
-1995  5  2     8.2     7.1     7.1 1
-1995  5  3    12.1    11.0    11.0 1
-1995  5  4    12.9    11.7    11.7 1
-1995  5  5    13.1    11.9    11.9 1
-1995  5  6    10.0     8.8     8.8 1
-1995  5  7     5.8     4.6     4.6 1
-1995  5  8     5.7     4.5     4.5 1
-1995  5  9     5.3     4.0     4.0 1
-1995  5 10     5.3     4.0     4.0 1
-1995  5 11     4.2     2.9     2.9 1
-1995  5 12     3.0     1.7     1.7 1
-1995  5 13     5.1     3.8     3.8 1
-1995  5 14     1.8     0.4     0.4 1
-1995  5 15     3.8     2.4     2.4 1
-1995  5 16     5.8     4.4     4.4 1
-1995  5 17     7.7     6.3     6.3 1
-1995  5 18     7.7     6.4     6.4 1
-1995  5 19     8.2     6.9     6.9 1
-1995  5 20    11.0     9.7     9.7 1
-1995  5 21    10.4     9.1     9.1 1
-1995  5 22     7.8     6.5     6.5 1
-1995  5 23     6.9     5.6     5.6 1
-1995  5 24    10.7     9.4     9.4 1
-1995  5 25    12.6    11.3    11.3 1
-1995  5 26    10.4     9.1     9.1 1
-1995  5 27    16.1    14.8    14.8 1
-1995  5 28    16.6    15.3    15.3 1
-1995  5 29    18.6    17.4    17.4 1
-1995  5 30    18.6    17.4    17.4 1
-1995  5 31    20.4    19.2    19.2 1
-1995  6  1    17.7    16.5    16.5 1
-1995  6  2    18.9    17.7    17.7 1
-1995  6  3    17.7    16.5    16.5 1
-1995  6  4    16.3    15.1    15.1 1
-1995  6  5    17.1    15.9    15.9 1
-1995  6  6    18.6    17.4    17.4 1
-1995  6  7    17.3    16.1    16.1 1
-1995  6  8    15.8    14.6    14.6 1
-1995  6  9    15.9    14.8    14.8 1
-1995  6 10    13.9    12.8    12.8 1
-1995  6 11    14.8    13.7    13.7 1
-1995  6 12    11.3    10.2    10.2 1
-1995  6 13    12.4    11.3    11.3 1
-1995  6 14    17.4    16.3    16.3 1
-1995  6 15    16.5    15.4    15.4 1
-1995  6 16    17.6    16.5    16.5 1
-1995  6 17    15.2    14.1    14.1 1
-1995  6 18    13.5    12.4    12.4 1
-1995  6 19    12.5    11.4    11.4 1
-1995  6 20    17.1    16.0    16.0 1
-1995  6 21    17.4    16.3    16.3 1
-1995  6 22    12.3    11.2    11.2 1
-1995  6 23    14.2    13.1    13.1 1
-1995  6 24    18.4    17.3    17.3 1
-1995  6 25    19.2    18.1    18.1 1
-1995  6 26    19.7    18.6    18.6 1
-1995  6 27    16.3    15.2    15.2 1
-1995  6 28    18.2    17.1    17.1 1
-1995  6 29    15.6    14.5    14.5 1
-1995  6 30    13.5    12.5    12.5 1
-1995  7  1    12.6    11.6    11.6 1
-1995  7  2    15.0    14.0    14.0 1
-1995  7  3    15.8    14.8    14.8 1
-1995  7  4    13.8    12.8    12.8 1
-1995  7  5    15.2    14.2    14.2 1
-1995  7  6    14.8    13.8    13.8 1
-1995  7  7    19.4    18.4    18.4 1
-1995  7  8    19.8    18.8    18.8 1
-1995  7  9    15.5    14.5    14.5 1
-1995  7 10    14.9    13.9    13.9 1
-1995  7 11    19.7    18.7    18.7 1
-1995  7 12    20.8    19.8    19.8 1
-1995  7 13    22.3    21.3    21.3 1
-1995  7 14    20.1    19.1    19.1 1
-1995  7 15    18.0    17.0    17.0 1
-1995  7 16    17.6    16.6    16.6 1
-1995  7 17    15.5    14.5    14.5 1
-1995  7 18    17.8    16.8    16.8 1
-1995  7 19    16.9    15.9    15.9 1
-1995  7 20    17.5    16.5    16.5 1
-1995  7 21    19.9    18.9    18.9 1
-1995  7 22    18.1    17.1    17.1 1
-1995  7 23    17.3    16.3    16.3 1
-1995  7 24    16.6    15.7    15.7 1
-1995  7 25    16.1    15.2    15.2 1
-1995  7 26    17.9    17.0    17.0 1
-1995  7 27    20.2    19.3    19.3 1
-1995  7 28    20.4    19.5    19.5 1
-1995  7 29    23.2    22.3    22.3 1
-1995  7 30    22.8    21.9    21.9 1
-1995  7 31    21.8    20.9    20.9 1
-1995  8  1    23.0    22.1    22.1 1
-1995  8  2    21.9    21.0    21.0 1
-1995  8  3    21.3    20.4    20.4 1
-1995  8  4    17.3    16.4    16.4 1
-1995  8  5    19.6    18.7    18.7 1
-1995  8  6    23.4    22.6    22.6 1
-1995  8  7    15.1    14.3    14.3 1
-1995  8  8    13.8    13.0    13.0 1
-1995  8  9    18.2    17.4    17.4 1
-1995  8 10    18.7    17.9    17.9 1
-1995  8 11    18.1    17.3    17.3 1
-1995  8 12    18.7    17.9    17.9 1
-1995  8 13    22.1    21.3    21.3 1
-1995  8 14    19.3    18.5    18.5 1
-1995  8 15    17.8    17.0    17.0 1
-1995  8 16    19.6    18.8    18.8 1
-1995  8 17    23.0    22.3    22.3 1
-1995  8 18    24.1    23.4    23.4 1
-1995  8 19    22.2    21.5    21.5 1
-1995  8 20    17.4    16.7    16.7 1
-1995  8 21    18.9    18.2    18.2 1
-1995  8 22    22.2    21.5    21.5 1
-1995  8 23    22.7    22.0    22.0 1
-1995  8 24    20.0    19.4    19.4 1
-1995  8 25    18.7    18.1    18.1 1
-1995  8 26    14.4    13.8    13.8 1
-1995  8 27    14.3    13.7    13.7 1
-1995  8 28    11.0    10.4    10.4 1
-1995  8 29    10.2     9.6     9.6 1
-1995  8 30    10.3     9.8     9.8 1
-1995  8 31    13.2    12.7    12.7 1
-1995  9  1    13.2    12.7    12.7 1
-1995  9  2    15.6    15.1    15.1 1
-1995  9  3    15.6    15.1    15.1 1
-1995  9  4    14.2    13.7    13.7 1
-1995  9  5    14.1    13.6    13.6 1
-1995  9  6    17.0    16.6    16.6 1
-1995  9  7    14.9    14.5    14.5 1
-1995  9  8    14.6    14.2    14.2 1
-1995  9  9    12.8    12.4    12.4 1
-1995  9 10    11.1    10.7    10.7 1
-1995  9 11    10.9    10.5    10.5 1
-1995  9 12    12.6    12.3    12.3 1
-1995  9 13    12.9    12.6    12.6 1
-1995  9 14    13.7    13.4    13.4 1
-1995  9 15    12.3    12.0    12.0 1
-1995  9 16    11.9    11.6    11.6 1
-1995  9 17    11.6    11.3    11.3 1
-1995  9 18    11.1    10.8    10.8 1
-1995  9 19    10.5    10.2    10.2 1
-1995  9 20    11.8    11.5    11.5 1
-1995  9 21    12.1    11.8    11.8 1
-1995  9 22    13.0    12.7    12.7 1
-1995  9 23    13.7    13.4    13.4 1
-1995  9 24    12.8    12.5    12.5 1
-1995  9 25    13.4    13.1    13.1 1
-1995  9 26    13.6    13.3    13.3 1
-1995  9 27    11.0    10.7    10.7 1
-1995  9 28     8.8     8.5     8.5 1
-1995  9 29     7.6     7.3     7.3 1
-1995  9 30     6.2     5.9     5.9 1
-1995 10  1     5.4     5.1     5.1 1
-1995 10  2     7.8     7.5     7.5 1
-1995 10  3    11.5    11.2    11.2 1
-1995 10  4    12.5    12.2    12.2 1
-1995 10  5    13.7    13.4    13.4 1
-1995 10  6    12.9    12.6    12.6 1
-1995 10  7    12.1    11.8    11.8 1
-1995 10  8    12.1    11.8    11.8 1
-1995 10  9    15.7    15.4    15.4 1
-1995 10 10    14.8    14.6    14.6 1
-1995 10 11    11.9    11.7    11.7 1
-1995 10 12    10.8    10.6    10.6 1
-1995 10 13    12.1    11.9    11.9 1
-1995 10 14     7.1     6.9     6.9 1
-1995 10 15     8.3     8.1     8.1 1
-1995 10 16    11.9    11.7    11.7 1
-1995 10 17    12.8    12.5    12.5 1
-1995 10 18    10.2     9.9     9.9 1
-1995 10 19    12.0    11.7    11.7 1
-1995 10 20     8.2     7.9     7.9 1
-1995 10 21     4.9     4.6     4.6 1
-1995 10 22     4.7     4.4     4.4 1
-1995 10 23     8.2     7.9     7.9 1
-1995 10 24     9.1     8.8     8.8 1
-1995 10 25     9.2     8.9     8.9 1
-1995 10 26    10.1     9.8     9.8 1
-1995 10 27    11.6    11.3    11.3 1
-1995 10 28     8.3     8.0     8.0 1
-1995 10 29     5.2     4.9     4.9 1
-1995 10 30     3.6     3.2     3.2 1
-1995 10 31     2.4     2.0     2.0 1
-1995 11  1     0.7     0.3     0.3 1
-1995 11  2    -0.1    -0.5    -0.5 1
-1995 11  3    -0.6    -1.0    -1.0 1
-1995 11  4    -1.9    -2.3    -2.3 1
-1995 11  5    -3.2    -3.6    -3.6 1
-1995 11  6     2.4     2.0     2.0 1
-1995 11  7    -1.5    -1.9    -1.9 1
-1995 11  8    -0.7    -1.1    -1.1 1
-1995 11  9     3.3     2.9     2.9 1
-1995 11 10     2.5     2.1     2.1 1
-1995 11 11     0.6     0.2     0.2 1
-1995 11 12    -1.1    -1.5    -1.5 1
-1995 11 13     1.6     1.1     1.1 1
-1995 11 14     1.0     0.5     0.5 1
-1995 11 15     3.2     2.7     2.7 1
-1995 11 16    -0.2    -0.7    -0.7 1
-1995 11 17    -2.4    -2.9    -2.9 1
-1995 11 18    -2.6    -3.1    -3.1 1
-1995 11 19    -2.2    -2.7    -2.7 1
-1995 11 20    -5.0    -5.5    -5.5 1
-1995 11 21     0.1    -0.4    -0.4 1
-1995 11 22     0.7     0.2     0.2 1
-1995 11 23     2.8     2.3     2.3 1
-1995 11 24     7.1     6.6     6.6 1
-1995 11 25     7.2     6.7     6.7 1
-1995 11 26     4.6     4.1     4.1 1
-1995 11 27     0.6     0.1     0.1 1
-1995 11 28    -2.8    -3.3    -3.3 1
-1995 11 29    -0.4    -0.9    -0.9 1
-1995 11 30    -2.1    -2.6    -2.6 1
-1995 12  1    -1.5    -2.0    -2.0 1
-1995 12  2    -2.6    -3.1    -3.1 1
-1995 12  3     0.0    -0.5    -0.5 1
-1995 12  4    -2.3    -2.8    -2.8 1
-1995 12  5    -4.9    -5.5    -5.5 1
-1995 12  6    -3.1    -3.7    -3.7 1
-1995 12  7    -0.7    -1.3    -1.3 1
-1995 12  8     1.6     1.0     1.0 1
-1995 12  9     0.1    -0.5    -0.5 1
-1995 12 10     0.1    -0.5    -0.5 1
-1995 12 11     0.2    -0.4    -0.4 1
-1995 12 12     0.6     0.0     0.0 1
-1995 12 13    -0.6    -1.2    -1.2 1
-1995 12 14    -1.9    -2.5    -2.5 1
-1995 12 15     0.9     0.3     0.3 1
-1995 12 16    -1.2    -1.8    -1.8 1
-1995 12 17    -1.2    -1.8    -1.8 1
-1995 12 18    -3.1    -3.7    -3.7 1
-1995 12 19    -5.7    -6.3    -6.3 1
-1995 12 20    -7.9    -8.5    -8.5 1
-1995 12 21    -8.4    -9.0    -9.0 1
-1995 12 22    -9.4   -10.0   -10.0 1
-1995 12 23    -4.2    -4.8    -4.8 1
-1995 12 24   -10.1   -10.7   -10.7 1
-1995 12 25   -12.9   -13.6   -13.6 1
-1995 12 26   -13.3   -14.0   -14.0 1
-1995 12 27   -11.9   -12.6   -12.6 1
-1995 12 28    -8.8    -9.5    -9.5 1
-1995 12 29    -7.0    -7.7    -7.7 1
-1995 12 30    -4.9    -5.6    -5.6 1
-1995 12 31    -7.7    -8.4    -8.4 1
-1996  1  1    -6.7    -7.4    -7.4 1
-1996  1  2   -11.0   -11.7   -11.7 1
-1996  1  3    -9.5   -10.2   -10.2 1
-1996  1  4    -8.5    -9.2    -9.2 1
-1996  1  5   -12.8   -13.5   -13.5 1
-1996  1  6    -5.7    -6.4    -6.4 1
-1996  1  7    -0.2    -0.9    -0.9 1
-1996  1  8     0.2    -0.5    -0.5 1
-1996  1  9     1.1     0.4     0.4 1
-1996  1 10     0.9     0.2     0.2 1
-1996  1 11     0.5    -0.3    -0.3 1
-1996  1 12     0.4    -0.4    -0.4 1
-1996  1 13     1.5     0.7     0.7 1
-1996  1 14     1.5     0.7     0.7 1
-1996  1 15     0.9     0.1     0.1 1
-1996  1 16    -0.7    -1.5    -1.5 1
-1996  1 17    -0.3    -1.1    -1.1 1
-1996  1 18    -0.4    -1.2    -1.2 1
-1996  1 19    -1.2    -2.0    -2.0 1
-1996  1 20    -2.4    -3.2    -3.2 1
-1996  1 21    -4.2    -5.0    -5.0 1
-1996  1 22    -3.0    -3.8    -3.8 1
-1996  1 23    -3.4    -4.2    -4.2 1
-1996  1 24    -4.9    -5.7    -5.7 1
-1996  1 25    -4.4    -5.2    -5.2 1
-1996  1 26    -6.8    -7.6    -7.6 1
-1996  1 27    -7.0    -7.8    -7.8 1
-1996  1 28    -3.2    -4.0    -4.0 1
-1996  1 29    -2.2    -3.0    -3.0 1
-1996  1 30    -3.5    -4.3    -4.3 1
-1996  1 31    -4.3    -5.1    -5.1 1
-1996  2  1    -5.4    -6.2    -6.2 1
-1996  2  2    -3.3    -4.1    -4.1 1
-1996  2  3    -3.4    -4.2    -4.2 1
-1996  2  4    -6.1    -6.9    -6.9 1
-1996  2  5   -11.3   -12.1   -12.1 1
-1996  2  6   -12.2   -13.0   -13.0 1
-1996  2  7    -9.6   -10.4   -10.4 1
-1996  2  8   -10.3   -11.1   -11.1 1
-1996  2  9    -9.1    -9.9    -9.9 1
-1996  2 10    -6.4    -7.2    -7.2 1
-1996  2 11    -6.2    -7.0    -7.0 1
-1996  2 12    -6.3    -7.1    -7.1 1
-1996  2 13    -6.9    -7.7    -7.7 1
-1996  2 14    -8.4    -9.2    -9.2 1
-1996  2 15    -1.4    -2.2    -2.2 1
-1996  2 16     0.4    -0.5    -0.5 1
-1996  2 17    -7.5    -8.4    -8.4 1
-1996  2 18   -11.0   -11.9   -11.9 1
-1996  2 19    -8.7    -9.6    -9.6 1
-1996  2 20    -9.2   -10.1   -10.1 1
-1996  2 21    -9.5   -10.4   -10.4 1
-1996  2 22    -8.1    -9.0    -9.0 1
-1996  2 23   -10.3   -11.2   -11.2 1
-1996  2 24    -5.9    -6.8    -6.8 1
-1996  2 25    -4.3    -5.2    -5.2 1
-1996  2 26     0.6    -0.3    -0.3 1
-1996  2 27     1.3     0.4     0.4 1
-1996  2 28     0.7    -0.2    -0.2 1
-1996  2 29     1.2     0.3     0.3 1
-1996  3  1    -0.2    -1.1    -1.1 1
-1996  3  2    -1.1    -2.0    -2.0 1
-1996  3  3    -3.0    -3.9    -3.9 1
-1996  3  4    -0.7    -1.6    -1.6 1
-1996  3  5     1.0     0.1     0.1 1
-1996  3  6    -0.8    -1.7    -1.7 1
-1996  3  7    -1.1    -2.0    -2.0 1
-1996  3  8     2.2     1.3     1.3 1
-1996  3  9    -0.6    -1.5    -1.5 1
-1996  3 10    -0.2    -1.1    -1.1 1
-1996  3 11    -1.2    -2.1    -2.1 1
-1996  3 12    -2.6    -3.5    -3.5 1
-1996  3 13    -1.7    -2.7    -2.7 1
-1996  3 14    -1.1    -2.1    -2.1 1
-1996  3 15    -2.0    -3.0    -3.0 1
-1996  3 16     0.1    -0.9    -0.9 1
-1996  3 17    -0.5    -1.4    -1.4 1
-1996  3 18    -1.5    -2.4    -2.4 1
-1996  3 19    -0.4    -1.3    -1.3 1
-1996  3 20     1.0     0.1     0.1 1
-1996  3 21    -3.2    -4.1    -4.1 1
-1996  3 22    -4.2    -5.1    -5.1 1
-1996  3 23    -1.0    -1.9    -1.9 1
-1996  3 24     0.3    -0.6    -0.6 1
-1996  3 25     1.2     0.3     0.3 1
-1996  3 26     0.8    -0.1    -0.1 1
-1996  3 27     0.3    -0.6    -0.6 1
-1996  3 28     1.6     0.7     0.7 1
-1996  3 29     0.5    -0.4    -0.4 1
-1996  3 30    -0.3    -1.2    -1.2 1
-1996  3 31    -0.2    -1.1    -1.1 1
-1996  4  1     0.4    -0.5    -0.5 1
-1996  4  2     0.0    -0.9    -0.9 1
-1996  4  3     2.6     1.7     1.7 1
-1996  4  4     4.2     3.3     3.3 1
-1996  4  5     5.4     4.5     4.5 1
-1996  4  6     7.5     6.7     6.7 1
-1996  4  7     8.0     7.2     7.2 1
-1996  4  8     7.9     7.1     7.1 1
-1996  4  9     9.8     9.0     9.0 1
-1996  4 10     2.5     1.7     1.7 1
-1996  4 11    -0.2    -1.0    -1.0 1
-1996  4 12     1.2     0.4     0.4 1
-1996  4 13     2.1     1.3     1.3 1
-1996  4 14     5.6     4.8     4.8 1
-1996  4 15     6.3     5.5     5.5 1
-1996  4 16     8.0     7.2     7.2 1
-1996  4 17    10.6     9.8     9.8 1
-1996  4 18    11.8    10.9    10.9 1
-1996  4 19    11.9    11.0    11.0 1
-1996  4 20    11.9    11.0    11.0 1
-1996  4 21    11.6    10.7    10.7 1
-1996  4 22    14.3    13.4    13.4 1
-1996  4 23     8.0     7.0     7.0 1
-1996  4 24     6.4     5.4     5.4 1
-1996  4 25     3.8     2.8     2.8 1
-1996  4 26     4.3     3.3     3.3 1
-1996  4 27     8.6     7.6     7.6 1
-1996  4 28     9.9     8.9     8.9 1
-1996  4 29     5.2     4.1     4.1 1
-1996  4 30     6.3     5.2     5.2 1
-1996  5  1     7.8     6.7     6.7 1
-1996  5  2     7.6     6.5     6.5 1
-1996  5  3     7.7     6.6     6.6 1
-1996  5  4     8.1     6.9     6.9 1
-1996  5  5     4.2     3.0     3.0 1
-1996  5  6     4.7     3.5     3.5 1
-1996  5  7     7.5     6.3     6.3 1
-1996  5  8     8.1     6.9     6.9 1
-1996  5  9     6.7     5.4     5.4 1
-1996  5 10     5.5     4.2     4.2 1
-1996  5 11     6.5     5.2     5.2 1
-1996  5 12    12.3    11.0    11.0 1
-1996  5 13    15.7    14.4    14.4 1
-1996  5 14    16.3    14.9    14.9 1
-1996  5 15     6.1     4.7     4.7 1
-1996  5 16     5.3     3.9     3.9 1
-1996  5 17     3.4     2.0     2.0 1
-1996  5 18     5.7     4.4     4.4 1
-1996  5 19     6.3     5.0     5.0 1
-1996  5 20     7.2     5.9     5.9 1
-1996  5 21     9.4     8.1     8.1 1
-1996  5 22    10.9     9.6     9.6 1
-1996  5 23    12.9    11.6    11.6 1
-1996  5 24    11.7    10.4    10.4 1
-1996  5 25    10.2     8.9     8.9 1
-1996  5 26    11.3    10.0    10.0 1
-1996  5 27    12.0    10.7    10.7 1
-1996  5 28     9.2     7.9     7.9 1
-1996  5 29    10.0     8.8     8.8 1
-1996  5 30    12.1    10.9    10.9 1
-1996  5 31    12.6    11.4    11.4 1
-1996  6  1    13.9    12.7    12.7 1
-1996  6  2    14.6    13.4    13.4 1
-1996  6  3    14.8    13.6    13.6 1
-1996  6  4    16.0    14.8    14.8 1
-1996  6  5    16.5    15.3    15.3 1
-1996  6  6    17.6    16.4    16.4 1
-1996  6  7    16.8    15.6    15.6 1
-1996  6  8    16.4    15.2    15.2 1
-1996  6  9    16.8    15.7    15.7 1
-1996  6 10    17.3    16.2    16.2 1
-1996  6 11    20.3    19.2    19.2 1
-1996  6 12    18.5    17.4    17.4 1
-1996  6 13    13.6    12.5    12.5 1
-1996  6 14    12.8    11.7    11.7 1
-1996  6 15    13.2    12.1    12.1 1
-1996  6 16    14.8    13.7    13.7 1
-1996  6 17    14.4    13.3    13.3 1
-1996  6 18    14.6    13.5    13.5 1
-1996  6 19    11.6    10.5    10.5 1
-1996  6 20    12.3    11.2    11.2 1
-1996  6 21    13.7    12.6    12.6 1
-1996  6 22    13.5    12.4    12.4 1
-1996  6 23    14.9    13.8    13.8 1
-1996  6 24    14.8    13.7    13.7 1
-1996  6 25    14.7    13.6    13.6 1
-1996  6 26    17.4    16.3    16.3 1
-1996  6 27    14.6    13.5    13.5 1
-1996  6 28    14.7    13.6    13.6 1
-1996  6 29    16.0    14.9    14.9 1
-1996  6 30    16.2    15.2    15.2 1
-1996  7  1    13.5    12.5    12.5 1
-1996  7  2    12.8    11.8    11.8 1
-1996  7  3    12.6    11.6    11.6 1
-1996  7  4    13.5    12.5    12.5 1
-1996  7  5    15.4    14.4    14.4 1
-1996  7  6    13.9    12.9    12.9 1
-1996  7  7    15.9    14.9    14.9 1
-1996  7  8    16.5    15.5    15.5 1
-1996  7  9    12.5    11.5    11.5 1
-1996  7 10    13.3    12.3    12.3 1
-1996  7 11    18.1    17.1    17.1 1
-1996  7 12    16.5    15.5    15.5 1
-1996  7 13    17.2    16.2    16.2 1
-1996  7 14    17.3    16.3    16.3 1
-1996  7 15    16.3    15.3    15.3 1
-1996  7 16    13.8    12.8    12.8 1
-1996  7 17    13.4    12.4    12.4 1
-1996  7 18    13.1    12.1    12.1 1
-1996  7 19    14.1    13.1    13.1 1
-1996  7 20    15.9    14.9    14.9 1
-1996  7 21    16.1    15.1    15.1 1
-1996  7 22    17.4    16.4    16.4 1
-1996  7 23    20.6    19.6    19.6 1
-1996  7 24    21.1    20.2    20.2 1
-1996  7 25    19.2    18.3    18.3 1
-1996  7 26    21.6    20.7    20.7 1
-1996  7 27    18.7    17.8    17.8 1
-1996  7 28    17.0    16.1    16.1 1
-1996  7 29    17.6    16.7    16.7 1
-1996  7 30    17.0    16.1    16.1 1
-1996  7 31    16.7    15.8    15.8 1
-1996  8  1    18.0    17.1    17.1 1
-1996  8  2    16.9    16.0    16.0 1
-1996  8  3    16.2    15.3    15.3 1
-1996  8  4    18.4    17.5    17.5 1
-1996  8  5    19.3    18.4    18.4 1
-1996  8  6    18.6    17.8    17.8 1
-1996  8  7    17.2    16.4    16.4 1
-1996  8  8    18.3    17.5    17.5 1
-1996  8  9    18.1    17.3    17.3 1
-1996  8 10    19.0    18.2    18.2 1
-1996  8 11    20.2    19.4    19.4 1
-1996  8 12    20.1    19.3    19.3 1
-1996  8 13    20.8    20.0    20.0 1
-1996  8 14    20.9    20.1    20.1 1
-1996  8 15    20.7    19.9    19.9 1
-1996  8 16    21.2    20.4    20.4 1
-1996  8 17    21.1    20.4    20.4 1
-1996  8 18    20.1    19.4    19.4 1
-1996  8 19    22.2    21.5    21.5 1
-1996  8 20    22.9    22.2    22.2 1
-1996  8 21    23.7    23.0    23.0 1
-1996  8 22    22.2    21.5    21.5 1
-1996  8 23    21.2    20.5    20.5 1
-1996  8 24    20.0    19.4    19.4 1
-1996  8 25    21.0    20.4    20.4 1
-1996  8 26    19.8    19.2    19.2 1
-1996  8 27    18.9    18.3    18.3 1
-1996  8 28    19.1    18.5    18.5 1
-1996  8 29    19.3    18.7    18.7 1
-1996  8 30    19.7    19.2    19.2 1
-1996  8 31    18.4    17.9    17.9 1
-1996  9  1    17.6    17.1    17.1 1
-1996  9  2    17.9    17.4    17.4 1
-1996  9  3    16.5    16.0    16.0 1
-1996  9  4    13.3    12.8    12.8 1
-1996  9  5    11.4    10.9    10.9 1
-1996  9  6    10.4    10.0    10.0 1
-1996  9  7    11.2    10.8    10.8 1
-1996  9  8    12.1    11.7    11.7 1
-1996  9  9    10.0     9.6     9.6 1
-1996  9 10     8.7     8.3     8.3 1
-1996  9 11     8.1     7.7     7.7 1
-1996  9 12     9.3     9.0     9.0 1
-1996  9 13    11.1    10.8    10.8 1
-1996  9 14     9.2     8.9     8.9 1
-1996  9 15    10.4    10.1    10.1 1
-1996  9 16    10.2     9.9     9.9 1
-1996  9 17    10.8    10.5    10.5 1
-1996  9 18    10.7    10.4    10.4 1
-1996  9 19    12.0    11.7    11.7 1
-1996  9 20     8.0     7.7     7.7 1
-1996  9 21     7.6     7.3     7.3 1
-1996  9 22    11.0    10.7    10.7 1
-1996  9 23    10.0     9.7     9.7 1
-1996  9 24    10.0     9.7     9.7 1
-1996  9 25     9.0     8.7     8.7 1
-1996  9 26     8.8     8.5     8.5 1
-1996  9 27     9.3     9.0     9.0 1
-1996  9 28    10.9    10.6    10.6 1
-1996  9 29     9.9     9.6     9.6 1
-1996  9 30    11.4    11.1    11.1 1
-1996 10  1    11.2    10.9    10.9 1
-1996 10  2     8.9     8.6     8.6 1
-1996 10  3     9.4     9.1     9.1 1
-1996 10  4    11.7    11.4    11.4 1
-1996 10  5     9.3     9.0     9.0 1
-1996 10  6    10.0     9.7     9.7 1
-1996 10  7    12.8    12.5    12.5 1
-1996 10  8    13.2    12.9    12.9 1
-1996 10  9    11.6    11.3    11.3 1
-1996 10 10     9.0     8.8     8.8 1
-1996 10 11     6.9     6.7     6.7 1
-1996 10 12     9.9     9.7     9.7 1
-1996 10 13     8.0     7.8     7.8 1
-1996 10 14     8.2     8.0     8.0 1
-1996 10 15     9.0     8.8     8.8 1
-1996 10 16     8.9     8.7     8.7 1
-1996 10 17    10.3    10.0    10.0 1
-1996 10 18    10.4    10.1    10.1 1
-1996 10 19     8.2     7.9     7.9 1
-1996 10 20     7.0     6.7     6.7 1
-1996 10 21     5.7     5.4     5.4 1
-1996 10 22     5.6     5.3     5.3 1
-1996 10 23     7.6     7.3     7.3 1
-1996 10 24     6.6     6.3     6.3 1
-1996 10 25     6.8     6.5     6.5 1
-1996 10 26     7.5     7.2     7.2 1
-1996 10 27     8.4     8.1     8.1 1
-1996 10 28     8.3     8.0     8.0 1
-1996 10 29     9.8     9.5     9.5 1
-1996 10 30     4.8     4.4     4.4 1
-1996 10 31     1.2     0.8     0.8 1
-1996 11  1     6.7     6.3     6.3 1
-1996 11  2     8.1     7.7     7.7 1
-1996 11  3    10.7    10.3    10.3 1
-1996 11  4     8.0     7.6     7.6 1
-1996 11  5     9.7     9.3     9.3 1
-1996 11  6     7.1     6.7     6.7 1
-1996 11  7     4.1     3.7     3.7 1
-1996 11  8     2.2     1.8     1.8 1
-1996 11  9     3.3     2.9     2.9 1
-1996 11 10     0.3    -0.1    -0.1 1
-1996 11 11     1.8     1.4     1.4 1
-1996 11 12     3.1     2.7     2.7 1
-1996 11 13     2.2     1.7     1.7 1
-1996 11 14    -2.2    -2.7    -2.7 1
-1996 11 15     3.7     3.2     3.2 1
-1996 11 16     6.7     6.2     6.2 1
-1996 11 17     5.5     5.0     5.0 1
-1996 11 18     4.4     3.9     3.9 1
-1996 11 19     6.6     6.1     6.1 1
-1996 11 20     4.4     3.9     3.9 1
-1996 11 21     5.7     5.2     5.2 1
-1996 11 22     2.7     2.2     2.2 1
-1996 11 23     2.7     2.2     2.2 1
-1996 11 24     0.6     0.1     0.1 1
-1996 11 25     0.9     0.4     0.4 1
-1996 11 26     0.4    -0.1    -0.1 1
-1996 11 27    -0.9    -1.4    -1.4 1
-1996 11 28    -0.4    -0.9    -0.9 1
-1996 11 29     0.1    -0.4    -0.4 1
-1996 11 30     1.1     0.6     0.6 1
-1996 12  1     2.0     1.5     1.5 1
-1996 12  2     2.8     2.3     2.3 1
-1996 12  3     3.9     3.4     3.4 1
-1996 12  4     4.8     4.3     4.3 1
-1996 12  5     4.9     4.3     4.3 1
-1996 12  6     4.4     3.8     3.8 1
-1996 12  7    -0.3    -0.9    -0.9 1
-1996 12  8     1.3     0.7     0.7 1
-1996 12  9     4.5     3.9     3.9 1
-1996 12 10     5.0     4.4     4.4 1
-1996 12 11     3.3     2.7     2.7 1
-1996 12 12     0.5    -0.1    -0.1 1
-1996 12 13    -4.5    -5.1    -5.1 1
-1996 12 14   -10.5   -11.1   -11.1 1
-1996 12 15   -10.5   -11.1   -11.1 1
-1996 12 16    -5.0    -5.6    -5.6 1
-1996 12 17    -5.2    -5.8    -5.8 1
-1996 12 18    -5.2    -5.8    -5.8 1
-1996 12 19    -8.8    -9.4    -9.4 1
-1996 12 20    -9.6   -10.2   -10.2 1
-1996 12 21    -5.5    -6.1    -6.1 1
-1996 12 22    -6.7    -7.3    -7.3 1
-1996 12 23    -9.0    -9.6    -9.6 1
-1996 12 24    -4.4    -5.0    -5.0 1
-1996 12 25    -9.3   -10.0   -10.0 1
-1996 12 26    -7.6    -8.3    -8.3 1
-1996 12 27    -0.8    -1.5    -1.5 1
-1996 12 28    -1.1    -1.8    -1.8 1
-1996 12 29    -1.9    -2.6    -2.6 1
-1996 12 30    -5.0    -5.7    -5.7 1
-1996 12 31    -6.0    -6.7    -6.7 1
-1997  1  1    -6.7    -7.4    -7.4 1
-1997  1  2    -7.0    -7.7    -7.7 1
-1997  1  3    -8.7    -9.4    -9.4 1
-1997  1  4    -7.0    -7.7    -7.7 1
-1997  1  5    -2.9    -3.6    -3.6 1
-1997  1  6    -4.7    -5.4    -5.4 1
-1997  1  7    -3.9    -4.6    -4.6 1
-1997  1  8    -4.3    -5.0    -5.0 1
-1997  1  9    -3.2    -3.9    -3.9 1
-1997  1 10    -7.0    -7.7    -7.7 1
-1997  1 11    -5.0    -5.8    -5.8 1
-1997  1 12    -5.4    -6.2    -6.2 1
-1997  1 13     3.6     2.8     2.8 1
-1997  1 14     4.5     3.7     3.7 1
-1997  1 15     4.3     3.5     3.5 1
-1997  1 16     3.7     2.9     2.9 1
-1997  1 17    -0.3    -1.1    -1.1 1
-1997  1 18     0.4    -0.4    -0.4 1
-1997  1 19     1.9     1.1     1.1 1
-1997  1 20    -2.5    -3.3    -3.3 1
-1997  1 21     0.4    -0.4    -0.4 1
-1997  1 22     0.4    -0.4    -0.4 1
-1997  1 23     0.0    -0.8    -0.8 1
-1997  1 24    -1.8    -2.6    -2.6 1
-1997  1 25    -4.2    -5.0    -5.0 1
-1997  1 26     0.2    -0.6    -0.6 1
-1997  1 27     0.4    -0.4    -0.4 1
-1997  1 28     0.7    -0.1    -0.1 1
-1997  1 29     3.8     3.0     3.0 1
-1997  1 30     2.5     1.7     1.7 1
-1997  1 31     0.3    -0.5    -0.5 1
-1997  2  1    -1.4    -2.2    -2.2 1
-1997  2  2    -2.2    -3.0    -3.0 1
-1997  2  3    -1.4    -2.2    -2.2 1
-1997  2  4     1.1     0.3     0.3 1
-1997  2  5    -1.0    -1.8    -1.8 1
-1997  2  6    -0.6    -1.4    -1.4 1
-1997  2  7     4.5     3.7     3.7 1
-1997  2  8     4.2     3.4     3.4 1
-1997  2  9     1.6     0.8     0.8 1
-1997  2 10     3.6     2.8     2.8 1
-1997  2 11     3.3     2.5     2.5 1
-1997  2 12     2.5     1.7     1.7 1
-1997  2 13    -1.2    -2.0    -2.0 1
-1997  2 14    -6.7    -7.5    -7.5 1
-1997  2 15   -10.5   -11.3   -11.3 1
-1997  2 16    -8.8    -9.7    -9.7 1
-1997  2 17    -6.3    -7.2    -7.2 1
-1997  2 18    -1.2    -2.1    -2.1 1
-1997  2 19     0.1    -0.8    -0.8 1
-1997  2 20     0.7    -0.2    -0.2 1
-1997  2 21     2.4     1.5     1.5 1
-1997  2 22     2.1     1.2     1.2 1
-1997  2 23     5.8     4.9     4.9 1
-1997  2 24     6.9     6.0     6.0 1
-1997  2 25     5.1     4.2     4.2 1
-1997  2 26     4.2     3.3     3.3 1
-1997  2 27     3.1     2.2     2.2 1
-1997  2 28     1.1     0.2     0.2 1
-1997  3  1     6.0     5.1     5.1 1
-1997  3  2     6.7     5.8     5.8 1
-1997  3  3     6.2     5.3     5.3 1
-1997  3  4     4.5     3.6     3.6 1
-1997  3  5     5.1     4.2     4.2 1
-1997  3  6     5.4     4.5     4.5 1
-1997  3  7     4.6     3.7     3.7 1
-1997  3  8     7.1     6.2     6.2 1
-1997  3  9     6.2     5.3     5.3 1
-1997  3 10     3.7     2.8     2.8 1
-1997  3 11     6.3     5.4     5.4 1
-1997  3 12     6.6     5.7     5.7 1
-1997  3 13     5.9     4.9     4.9 1
-1997  3 14     0.8    -0.2    -0.2 1
-1997  3 15    -0.4    -1.4    -1.4 1
-1997  3 16    -2.2    -3.2    -3.2 1
-1997  3 17    -2.7    -3.6    -3.6 1
-1997  3 18    -2.6    -3.5    -3.5 1
-1997  3 19    -3.6    -4.5    -4.5 1
-1997  3 20    -2.4    -3.3    -3.3 1
-1997  3 21    -2.6    -3.5    -3.5 1
-1997  3 22    -3.2    -4.1    -4.1 1
-1997  3 23    -2.2    -3.1    -3.1 1
-1997  3 24    -1.6    -2.5    -2.5 1
-1997  3 25    -0.2    -1.1    -1.1 1
-1997  3 26     0.2    -0.7    -0.7 1
-1997  3 27     6.1     5.2     5.2 1
-1997  3 28     3.9     3.0     3.0 1
-1997  3 29     2.8     1.9     1.9 1
-1997  3 30     4.8     3.9     3.9 1
-1997  3 31     9.2     8.3     8.3 1
-1997  4  1     9.6     8.7     8.7 1
-1997  4  2     7.9     7.0     7.0 1
-1997  4  3     6.9     6.0     6.0 1
-1997  4  4     2.9     2.0     2.0 1
-1997  4  5     1.5     0.6     0.6 1
-1997  4  6    -0.1    -0.9    -0.9 1
-1997  4  7     1.1     0.3     0.3 1
-1997  4  8     1.9     1.1     1.1 1
-1997  4  9     3.6     2.8     2.8 1
-1997  4 10     6.3     5.5     5.5 1
-1997  4 11     0.6    -0.2    -0.2 1
-1997  4 12    -1.3    -2.1    -2.1 1
-1997  4 13     5.4     4.6     4.6 1
-1997  4 14     2.7     1.9     1.9 1
-1997  4 15     0.4    -0.4    -0.4 1
-1997  4 16     4.0     3.2     3.2 1
-1997  4 17     5.8     5.0     5.0 1
-1997  4 18     2.7     1.8     1.8 1
-1997  4 19     2.0     1.1     1.1 1
-1997  4 20     1.9     1.0     1.0 1
-1997  4 21     4.3     3.4     3.4 1
-1997  4 22     4.6     3.7     3.7 1
-1997  4 23     3.0     2.0     2.0 1
-1997  4 24     2.7     1.7     1.7 1
-1997  4 25     4.0     3.0     3.0 1
-1997  4 26     5.0     4.0     4.0 1
-1997  4 27     8.3     7.3     7.3 1
-1997  4 28     9.2     8.2     8.2 1
-1997  4 29     5.9     4.8     4.8 1
-1997  4 30     6.5     5.4     5.4 1
-1997  5  1     9.3     8.2     8.2 1
-1997  5  2    12.3    11.2    11.2 1
-1997  5  3     7.7     6.6     6.6 1
-1997  5  4     6.2     5.0     5.0 1
-1997  5  5     3.2     2.0     2.0 1
-1997  5  6     6.5     5.3     5.3 1
-1997  5  7     7.0     5.8     5.8 1
-1997  5  8     8.7     7.5     7.5 1
-1997  5  9     6.5     5.2     5.2 1
-1997  5 10     7.3     6.0     6.0 1
-1997  5 11    10.2     8.9     8.9 1
-1997  5 12    13.3    12.0    12.0 1
-1997  5 13    14.4    13.1    13.1 1
-1997  5 14    14.0    12.6    12.6 1
-1997  5 15    14.1    12.7    12.7 1
-1997  5 16    12.5    11.1    11.1 1
-1997  5 17    12.8    11.4    11.4 1
-1997  5 18    13.6    12.3    12.3 1
-1997  5 19     8.8     7.5     7.5 1
-1997  5 20     6.1     4.8     4.8 1
-1997  5 21     6.8     5.5     5.5 1
-1997  5 22     7.8     6.5     6.5 1
-1997  5 23     7.9     6.6     6.6 1
-1997  5 24     9.9     8.6     8.6 1
-1997  5 25     9.7     8.4     8.4 1
-1997  5 26    10.5     9.2     9.2 1
-1997  5 27     9.8     8.5     8.5 1
-1997  5 28    10.0     8.7     8.7 1
-1997  5 29     8.0     6.8     6.8 1
-1997  5 30     8.3     7.1     7.1 1
-1997  5 31    10.4     9.2     9.2 1
-1997  6  1    13.3    12.1    12.1 1
-1997  6  2    15.8    14.6    14.6 1
-1997  6  3    14.2    13.0    13.0 1
-1997  6  4    12.9    11.7    11.7 1
-1997  6  5    16.1    14.9    14.9 1
-1997  6  6    17.3    16.1    16.1 1
-1997  6  7    18.3    17.1    17.1 1
-1997  6  8    18.9    17.7    17.7 1
-1997  6  9    18.9    17.8    17.8 1
-1997  6 10    20.1    19.0    19.0 1
-1997  6 11    18.6    17.5    17.5 1
-1997  6 12    20.2    19.1    19.1 1
-1997  6 13    20.6    19.5    19.5 1
-1997  6 14    17.8    16.7    16.7 1
-1997  6 15    17.6    16.5    16.5 1
-1997  6 16    13.5    12.4    12.4 1
-1997  6 17    10.0     8.9     8.9 1
-1997  6 18    13.0    11.9    11.9 1
-1997  6 19    14.3    13.2    13.2 1
-1997  6 20    15.8    14.7    14.7 1
-1997  6 21    14.7    13.6    13.6 1
-1997  6 22    14.4    13.3    13.3 1
-1997  6 23    16.2    15.1    15.1 1
-1997  6 24    16.3    15.2    15.2 1
-1997  6 25    13.2    12.1    12.1 1
-1997  6 26    14.2    13.1    13.1 1
-1997  6 27    15.5    14.4    14.4 1
-1997  6 28    17.4    16.3    16.3 1
-1997  6 29    18.2    17.1    17.1 1
-1997  6 30    19.9    18.9    18.9 1
-1997  7  1    22.7    21.7    21.7 1
-1997  7  2    23.3    22.3    22.3 1
-1997  7  3    20.3    19.3    19.3 1
-1997  7  4    21.4    20.4    20.4 1
-1997  7  5    21.6    20.6    20.6 1
-1997  7  6    20.6    19.6    19.6 1
-1997  7  7    23.1    22.1    22.1 1
-1997  7  8    19.2    18.2    18.2 1
-1997  7  9    16.4    15.4    15.4 1
-1997  7 10    15.1    14.1    14.1 1
-1997  7 11    14.3    13.3    13.3 1
-1997  7 12    15.4    14.4    14.4 1
-1997  7 13    16.0    15.0    15.0 1
-1997  7 14    18.5    17.5    17.5 1
-1997  7 15    20.2    19.2    19.2 1
-1997  7 16    19.3    18.3    18.3 1
-1997  7 17    17.7    16.7    16.7 1
-1997  7 18    17.9    16.9    16.9 1
-1997  7 19    18.9    17.9    17.9 1
-1997  7 20    21.2    20.2    20.2 1
-1997  7 21    21.6    20.6    20.6 1
-1997  7 22    22.7    21.7    21.7 1
-1997  7 23    23.9    22.9    22.9 1
-1997  7 24    22.5    21.6    21.6 1
-1997  7 25    20.0    19.1    19.1 1
-1997  7 26    18.7    17.8    17.8 1
-1997  7 27    20.5    19.6    19.6 1
-1997  7 28    17.8    16.9    16.9 1
-1997  7 29    16.5    15.6    15.6 1
-1997  7 30    19.6    18.7    18.7 1
-1997  7 31    20.0    19.1    19.1 1
-1997  8  1    19.7    18.8    18.8 1
-1997  8  2    19.9    19.0    19.0 1
-1997  8  3    21.2    20.3    20.3 1
-1997  8  4    20.6    19.7    19.7 1
-1997  8  5    19.8    18.9    18.9 1
-1997  8  6    20.7    19.9    19.9 1
-1997  8  7    21.6    20.8    20.8 1
-1997  8  8    22.5    21.7    21.7 1
-1997  8  9    23.3    22.5    22.5 1
-1997  8 10    23.6    22.8    22.8 1
-1997  8 11    19.2    18.4    18.4 1
-1997  8 12    21.5    20.7    20.7 1
-1997  8 13    21.0    20.2    20.2 1
-1997  8 14    18.1    17.3    17.3 1
-1997  8 15    16.0    15.2    15.2 1
-1997  8 16    17.4    16.6    16.6 1
-1997  8 17    22.1    21.4    21.4 1
-1997  8 18    21.4    20.7    20.7 1
-1997  8 19    22.8    22.1    22.1 1
-1997  8 20    23.8    23.1    23.1 1
-1997  8 21    23.8    23.1    23.1 1
-1997  8 22    22.5    21.8    21.8 1
-1997  8 23    21.3    20.6    20.6 1
-1997  8 24    20.6    20.0    20.0 1
-1997  8 25    20.3    19.7    19.7 1
-1997  8 26    23.3    22.7    22.7 1
-1997  8 27    23.8    23.2    23.2 1
-1997  8 28    23.3    22.7    22.7 1
-1997  8 29    22.2    21.6    21.6 1
-1997  8 30    21.4    20.9    20.9 1
-1997  8 31    21.8    21.3    21.3 1
-1997  9  1    21.1    20.6    20.6 1
-1997  9  2    20.5    20.0    20.0 1
-1997  9  3    18.9    18.4    18.4 1
-1997  9  4    19.5    19.0    19.0 1
-1997  9  5    17.1    16.6    16.6 1
-1997  9  6    15.9    15.5    15.5 1
-1997  9  7    13.9    13.5    13.5 1
-1997  9  8    15.4    15.0    15.0 1
-1997  9  9    12.3    11.9    11.9 1
-1997  9 10    12.5    12.1    12.1 1
-1997  9 11    11.9    11.5    11.5 1
-1997  9 12    13.3    13.0    13.0 1
-1997  9 13    13.6    13.3    13.3 1
-1997  9 14    11.6    11.3    11.3 1
-1997  9 15    12.2    11.9    11.9 1
-1997  9 16    15.1    14.8    14.8 1
-1997  9 17    14.8    14.5    14.5 1
-1997  9 18     8.9     8.6     8.6 1
-1997  9 19     9.1     8.8     8.8 1
-1997  9 20     8.4     8.1     8.1 1
-1997  9 21    11.0    10.7    10.7 1
-1997  9 22    12.5    12.2    12.2 1
-1997  9 23     9.5     9.2     9.2 1
-1997  9 24     9.9     9.6     9.6 1
-1997  9 25    14.6    14.3    14.3 1
-1997  9 26    12.6    12.3    12.3 1
-1997  9 27     9.5     9.2     9.2 1
-1997  9 28     8.7     8.4     8.4 1
-1997  9 29     9.8     9.5     9.5 1
-1997  9 30     9.1     8.8     8.8 1
-1997 10  1     6.9     6.6     6.6 1
-1997 10  2     7.8     7.5     7.5 1
-1997 10  3     8.7     8.4     8.4 1
-1997 10  4     8.9     8.6     8.6 1
-1997 10  5     6.4     6.1     6.1 1
-1997 10  6     7.4     7.1     7.1 1
-1997 10  7     9.3     9.0     9.0 1
-1997 10  8    11.6    11.3    11.3 1
-1997 10  9     8.5     8.2     8.2 1
-1997 10 10     8.5     8.2     8.2 1
-1997 10 11     7.2     7.0     7.0 1
-1997 10 12     6.2     6.0     6.0 1
-1997 10 13     3.1     2.9     2.9 1
-1997 10 14     3.6     3.4     3.4 1
-1997 10 15     3.1     2.9     2.9 1
-1997 10 16     3.8     3.6     3.6 1
-1997 10 17     4.5     4.2     4.2 1
-1997 10 18    10.1     9.8     9.8 1
-1997 10 19     9.3     9.0     9.0 1
-1997 10 20     2.7     2.4     2.4 1
-1997 10 21     2.4     2.1     2.1 1
-1997 10 22     3.5     3.2     3.2 1
-1997 10 23    -0.2    -0.5    -0.5 1
-1997 10 24    -0.7    -1.0    -1.0 1
-1997 10 25    -1.5    -1.8    -1.8 1
-1997 10 26    -0.8    -1.1    -1.1 1
-1997 10 27    -0.3    -0.6    -0.6 1
-1997 10 28     1.1     0.8     0.8 1
-1997 10 29     4.5     4.2     4.2 1
-1997 10 30     5.2     4.8     4.8 1
-1997 10 31     7.0     6.6     6.6 1
-1997 11  1     9.3     8.9     8.9 1
-1997 11  2     1.0     0.6     0.6 1
-1997 11  3    -1.1    -1.5    -1.5 1
-1997 11  4    -0.6    -1.0    -1.0 1
-1997 11  5     2.3     1.9     1.9 1
-1997 11  6     4.6     4.2     4.2 1
-1997 11  7     3.7     3.3     3.3 1
-1997 11  8     7.8     7.4     7.4 1
-1997 11  9     4.7     4.3     4.3 1
-1997 11 10     6.9     6.5     6.5 1
-1997 11 11     6.6     6.2     6.2 1
-1997 11 12     6.4     6.0     6.0 1
-1997 11 13     6.9     6.4     6.4 1
-1997 11 14     5.6     5.1     5.1 1
-1997 11 15     4.4     3.9     3.9 1
-1997 11 16     1.7     1.2     1.2 1
-1997 11 17     3.6     3.1     3.1 1
-1997 11 18     1.9     1.4     1.4 1
-1997 11 19     2.3     1.8     1.8 1
-1997 11 20     1.9     1.4     1.4 1
-1997 11 21     2.7     2.2     2.2 1
-1997 11 22     1.9     1.4     1.4 1
-1997 11 23     1.5     1.0     1.0 1
-1997 11 24     0.2    -0.3    -0.3 1
-1997 11 25    -0.5    -1.0    -1.0 1
-1997 11 26    -0.4    -0.9    -0.9 1
-1997 11 27    -3.9    -4.4    -4.4 1
-1997 11 28    -4.0    -4.5    -4.5 1
-1997 11 29    -0.5    -1.0    -1.0 1
-1997 11 30     0.7     0.2     0.2 1
-1997 12  1     2.4     1.9     1.9 1
-1997 12  2     0.4    -0.1    -0.1 1
-1997 12  3    -1.8    -2.3    -2.3 1
-1997 12  4    -5.6    -6.1    -6.1 1
-1997 12  5    -4.3    -4.9    -4.9 1
-1997 12  6     0.8     0.2     0.2 1
-1997 12  7    -0.2    -0.8    -0.8 1
-1997 12  8     3.5     2.9     2.9 1
-1997 12  9     4.5     3.9     3.9 1
-1997 12 10     5.3     4.7     4.7 1
-1997 12 11     4.2     3.6     3.6 1
-1997 12 12     2.1     1.5     1.5 1
-1997 12 13    -0.2    -0.8    -0.8 1
-1997 12 14    -0.1    -0.7    -0.7 1
-1997 12 15    -0.9    -1.5    -1.5 1
-1997 12 16    -1.1    -1.7    -1.7 1
-1997 12 17     0.2    -0.4    -0.4 1
-1997 12 18    -2.0    -2.6    -2.6 1
-1997 12 19    -3.0    -3.6    -3.6 1
-1997 12 20    -2.1    -2.7    -2.7 1
-1997 12 21     0.3    -0.3    -0.3 1
-1997 12 22    -0.5    -1.1    -1.1 1
-1997 12 23    -2.4    -3.0    -3.0 1
-1997 12 24    -1.5    -2.1    -2.1 1
-1997 12 25     2.0     1.3     1.3 1
-1997 12 26     3.1     2.4     2.4 1
-1997 12 27    -1.1    -1.8    -1.8 1
-1997 12 28    -3.1    -3.8    -3.8 1
-1997 12 29     1.7     1.0     1.0 1
-1997 12 30     1.7     1.0     1.0 1
-1997 12 31     2.2     1.5     1.5 1
-1998  1  1     2.4     1.7     1.7 1
-1998  1  2     3.6     2.9     2.9 1
-1998  1  3     4.2     3.5     3.5 1
-1998  1  4     3.9     3.2     3.2 1
-1998  1  5     1.8     1.1     1.1 1
-1998  1  6     0.0    -0.7    -0.7 1
-1998  1  7    -0.6    -1.3    -1.3 1
-1998  1  8    -0.3    -1.0    -1.0 1
-1998  1  9    -1.0    -1.7    -1.7 1
-1998  1 10     1.7     1.0     1.0 1
-1998  1 11     6.8     6.0     6.0 1
-1998  1 12     5.9     5.1     5.1 1
-1998  1 13     3.9     3.1     3.1 1
-1998  1 14     3.3     2.5     2.5 1
-1998  1 15     4.3     3.5     3.5 1
-1998  1 16     4.8     4.0     4.0 1
-1998  1 17     3.8     3.0     3.0 1
-1998  1 18     0.8     0.0     0.0 1
-1998  1 19     2.3     1.5     1.5 1
-1998  1 20    -1.2    -2.0    -2.0 1
-1998  1 21    -2.4    -3.2    -3.2 1
-1998  1 22    -0.8    -1.6    -1.6 1
-1998  1 23     0.1    -0.7    -0.7 1
-1998  1 24    -2.2    -3.0    -3.0 1
-1998  1 25    -1.3    -2.1    -2.1 1
-1998  1 26    -1.0    -1.8    -1.8 1
-1998  1 27     0.2    -0.6    -0.6 1
-1998  1 28    -4.5    -5.3    -5.3 1
-1998  1 29    -7.2    -8.0    -8.0 1
-1998  1 30    -7.1    -7.9    -7.9 1
-1998  1 31   -10.7   -11.5   -11.5 1
-1998  2  1    -4.9    -5.7    -5.7 1
-1998  2  2    -2.1    -2.9    -2.9 1
-1998  2  3    -3.8    -4.6    -4.6 1
-1998  2  4    -4.8    -5.6    -5.6 1
-1998  2  5    -3.9    -4.7    -4.7 1
-1998  2  6    -4.8    -5.6    -5.6 1
-1998  2  7     2.0     1.2     1.2 1
-1998  2  8     2.0     1.2     1.2 1
-1998  2  9     3.8     3.0     3.0 1
-1998  2 10     6.1     5.3     5.3 1
-1998  2 11     3.5     2.7     2.7 1
-1998  2 12     3.1     2.3     2.3 1
-1998  2 13     0.3    -0.5    -0.5 1
-1998  2 14     1.3     0.5     0.5 1
-1998  2 15     0.5    -0.3    -0.3 1
-1998  2 16     0.5    -0.4    -0.4 1
-1998  2 17    -2.6    -3.5    -3.5 1
-1998  2 18     4.9     4.0     4.0 1
-1998  2 19     6.5     5.6     5.6 1
-1998  2 20     6.5     5.6     5.6 1
-1998  2 21     6.9     6.0     6.0 1
-1998  2 22     6.4     5.5     5.5 1
-1998  2 23     5.8     4.9     4.9 1
-1998  2 24     1.6     0.7     0.7 1
-1998  2 25    -0.6    -1.5    -1.5 1
-1998  2 26     5.2     4.3     4.3 1
-1998  2 27     5.4     4.5     4.5 1
-1998  2 28     2.1     1.2     1.2 1
-1998  3  1    -0.5    -1.4    -1.4 1
-1998  3  2    -2.3    -3.2    -3.2 1
-1998  3  3    -1.0    -1.9    -1.9 1
-1998  3  4     1.0     0.1     0.1 1
-1998  3  5    -3.1    -4.0    -4.0 1
-1998  3  6    -1.1    -2.0    -2.0 1
-1998  3  7    -2.7    -3.6    -3.6 1
-1998  3  8    -1.8    -2.7    -2.7 1
-1998  3  9    -5.6    -6.5    -6.5 1
-1998  3 10    -4.4    -5.3    -5.3 1
-1998  3 11    -2.0    -2.9    -2.9 1
-1998  3 12    -0.3    -1.2    -1.2 1
-1998  3 13    -2.3    -3.3    -3.3 1
-1998  3 14    -2.9    -3.9    -3.9 1
-1998  3 15    -1.1    -2.1    -2.1 1
-1998  3 16     1.9     0.9     0.9 1
-1998  3 17     1.3     0.4     0.4 1
-1998  3 18     4.5     3.6     3.6 1
-1998  3 19     0.4    -0.5    -0.5 1
-1998  3 20     1.3     0.4     0.4 1
-1998  3 21     1.3     0.4     0.4 1
-1998  3 22     1.5     0.6     0.6 1
-1998  3 23     1.8     0.9     0.9 1
-1998  3 24     1.7     0.8     0.8 1
-1998  3 25     2.5     1.6     1.6 1
-1998  3 26     4.6     3.7     3.7 1
-1998  3 27     2.1     1.2     1.2 1
-1998  3 28     2.6     1.7     1.7 1
-1998  3 29     2.8     1.9     1.9 1
-1998  3 30     6.8     5.9     5.9 1
-1998  3 31     5.5     4.6     4.6 1
-1998  4  1    -2.1    -3.0    -3.0 1
-1998  4  2    -3.1    -4.0    -4.0 1
-1998  4  3    -2.2    -3.1    -3.1 1
-1998  4  4    -0.3    -1.2    -1.2 1
-1998  4  5     0.0    -0.9    -0.9 1
-1998  4  6     1.9     1.1     1.1 1
-1998  4  7     1.7     0.9     0.9 1
-1998  4  8     2.0     1.2     1.2 1
-1998  4  9     0.7    -0.1    -0.1 1
-1998  4 10     1.9     1.1     1.1 1
-1998  4 11     2.9     2.1     2.1 1
-1998  4 12    -0.4    -1.2    -1.2 1
-1998  4 13     0.5    -0.3    -0.3 1
-1998  4 14     2.0     1.2     1.2 1
-1998  4 15     3.4     2.6     2.6 1
-1998  4 16     4.3     3.5     3.5 1
-1998  4 17     4.6     3.8     3.8 1
-1998  4 18     3.7     2.8     2.8 1
-1998  4 19     2.3     1.4     1.4 1
-1998  4 20     3.6     2.7     2.7 1
-1998  4 21     5.9     5.0     5.0 1
-1998  4 22     3.5     2.6     2.6 1
-1998  4 23     5.5     4.5     4.5 1
-1998  4 24     7.7     6.7     6.7 1
-1998  4 25    10.7     9.7     9.7 1
-1998  4 26     9.1     8.1     8.1 1
-1998  4 27     9.3     8.3     8.3 1
-1998  4 28    11.8    10.8    10.8 1
-1998  4 29    15.0    13.9    13.9 1
-1998  4 30    15.2    14.1    14.1 1
-1998  5  1    14.2    13.1    13.1 1
-1998  5  2    11.6    10.5    10.5 1
-1998  5  3     5.9     4.8     4.8 1
-1998  5  4     5.9     4.7     4.7 1
-1998  5  5     5.1     3.9     3.9 1
-1998  5  6     9.0     7.8     7.8 1
-1998  5  7    10.6     9.4     9.4 1
-1998  5  8    14.0    12.8    12.8 1
-1998  5  9    13.0    11.7    11.7 1
-1998  5 10    16.0    14.7    14.7 1
-1998  5 11    12.4    11.1    11.1 1
-1998  5 12    10.9     9.6     9.6 1
-1998  5 13    11.0     9.7     9.7 1
-1998  5 14    12.5    11.1    11.1 1
-1998  5 15    11.7    10.3    10.3 1
-1998  5 16    14.4    13.0    13.0 1
-1998  5 17    15.8    14.4    14.4 1
-1998  5 18    17.4    16.1    16.1 1
-1998  5 19    14.2    12.9    12.9 1
-1998  5 20     7.6     6.3     6.3 1
-1998  5 21     6.8     5.5     5.5 1
-1998  5 22     5.9     4.6     4.6 1
-1998  5 23     7.2     5.9     5.9 1
-1998  5 24     7.9     6.6     6.6 1
-1998  5 25     6.3     5.0     5.0 1
-1998  5 26     7.5     6.2     6.2 1
-1998  5 27    10.9     9.6     9.6 1
-1998  5 28    12.6    11.3    11.3 1
-1998  5 29    14.2    13.0    13.0 1
-1998  5 30    12.8    11.6    11.6 1
-1998  5 31    16.5    15.3    15.3 1
-1998  6  1    10.6     9.4     9.4 1
-1998  6  2     8.6     7.4     7.4 1
-1998  6  3    10.4     9.2     9.2 1
-1998  6  4    14.1    12.9    12.9 1
-1998  6  5    12.4    11.2    11.2 1
-1998  6  6    12.8    11.6    11.6 1
-1998  6  7    12.9    11.7    11.7 1
-1998  6  8    16.3    15.1    15.1 1
-1998  6  9    15.2    14.1    14.1 1
-1998  6 10    17.1    16.0    16.0 1
-1998  6 11    16.8    15.7    15.7 1
-1998  6 12    16.0    14.9    14.9 1
-1998  6 13    16.9    15.8    15.8 1
-1998  6 14    14.7    13.6    13.6 1
-1998  6 15    10.3     9.2     9.2 1
-1998  6 16    12.1    11.0    11.0 1
-1998  6 17    12.0    10.9    10.9 1
-1998  6 18    11.5    10.4    10.4 1
-1998  6 19    13.0    11.9    11.9 1
-1998  6 20    12.7    11.6    11.6 1
-1998  6 21    11.2    10.1    10.1 1
-1998  6 22    10.1     9.0     9.0 1
-1998  6 23     9.7     8.6     8.6 1
-1998  6 24    13.2    12.1    12.1 1
-1998  6 25    14.3    13.2    13.2 1
-1998  6 26    15.1    14.0    14.0 1
-1998  6 27    15.3    14.2    14.2 1
-1998  6 28    15.9    14.8    14.8 1
-1998  6 29    16.8    15.7    15.7 1
-1998  6 30    17.9    16.8    16.8 1
-1998  7  1    16.5    15.5    15.5 1
-1998  7  2    16.3    15.3    15.3 1
-1998  7  3    15.5    14.5    14.5 1
-1998  7  4    15.8    14.8    14.8 1
-1998  7  5    15.0    14.0    14.0 1
-1998  7  6    14.5    13.5    13.5 1
-1998  7  7    15.6    14.6    14.6 1
-1998  7  8    17.4    16.4    16.4 1
-1998  7  9    18.7    17.7    17.7 1
-1998  7 10    17.2    16.2    16.2 1
-1998  7 11    18.1    17.1    17.1 1
-1998  7 12    16.4    15.4    15.4 1
-1998  7 13    18.5    17.5    17.5 1
-1998  7 14    15.7    14.7    14.7 1
-1998  7 15    13.9    12.9    12.9 1
-1998  7 16    14.1    13.1    13.1 1
-1998  7 17    16.1    15.1    15.1 1
-1998  7 18    15.7    14.7    14.7 1
-1998  7 19    15.4    14.4    14.4 1
-1998  7 20    17.7    16.7    16.7 1
-1998  7 21    19.5    18.5    18.5 1
-1998  7 22    18.6    17.6    17.6 1
-1998  7 23    19.0    18.0    18.0 1
-1998  7 24    16.1    15.2    15.2 1
-1998  7 25    16.2    15.3    15.3 1
-1998  7 26    15.4    14.5    14.5 1
-1998  7 27    17.6    16.7    16.7 1
-1998  7 28    17.0    16.1    16.1 1
-1998  7 29    14.6    13.7    13.7 1
-1998  7 30    16.5    15.6    15.6 1
-1998  7 31    15.6    14.7    14.7 1
-1998  8  1    17.3    16.4    16.4 1
-1998  8  2    17.0    16.1    16.1 1
-1998  8  3    17.9    17.0    17.0 1
-1998  8  4    15.7    14.8    14.8 1
-1998  8  5    16.0    15.1    15.1 1
-1998  8  6    17.1    16.3    16.3 1
-1998  8  7    15.8    15.0    15.0 1
-1998  8  8    15.6    14.8    14.8 1
-1998  8  9    16.0    15.2    15.2 1
-1998  8 10    15.3    14.5    14.5 1
-1998  8 11    17.3    16.5    16.5 1
-1998  8 12    17.7    16.9    16.9 1
-1998  8 13    14.3    13.5    13.5 1
-1998  8 14    15.9    15.1    15.1 1
-1998  8 15    14.9    14.1    14.1 1
-1998  8 16    16.4    15.6    15.6 1
-1998  8 17    16.5    15.8    15.8 1
-1998  8 18    17.2    16.5    16.5 1
-1998  8 19    13.9    13.2    13.2 1
-1998  8 20    14.0    13.3    13.3 1
-1998  8 21    13.9    13.2    13.2 1
-1998  8 22    13.6    12.9    12.9 1
-1998  8 23    13.7    13.0    13.0 1
-1998  8 24    13.3    12.7    12.7 1
-1998  8 25    12.2    11.6    11.6 1
-1998  8 26    12.5    11.9    11.9 1
-1998  8 27    10.2     9.6     9.6 1
-1998  8 28    13.0    12.4    12.4 1
-1998  8 29    12.6    12.0    12.0 1
-1998  8 30    12.6    12.1    12.1 1
-1998  8 31    11.7    11.2    11.2 1
-1998  9  1    10.3     9.8     9.8 1
-1998  9  2    11.6    11.1    11.1 1
-1998  9  3    12.9    12.4    12.4 1
-1998  9  4    12.7    12.2    12.2 1
-1998  9  5    14.3    13.8    13.8 1
-1998  9  6    13.8    13.4    13.4 1
-1998  9  7    15.5    15.1    15.1 1
-1998  9  8    16.5    16.1    16.1 1
-1998  9  9    15.5    15.1    15.1 1
-1998  9 10    17.2    16.8    16.8 1
-1998  9 11    15.5    15.1    15.1 1
-1998  9 12    15.9    15.6    15.6 1
-1998  9 13    16.0    15.7    15.7 1
-1998  9 14    16.2    15.9    15.9 1
-1998  9 15    12.4    12.1    12.1 1
-1998  9 16    12.7    12.4    12.4 1
-1998  9 17    12.6    12.3    12.3 1
-1998  9 18    12.0    11.7    11.7 1
-1998  9 19    12.1    11.8    11.8 1
-1998  9 20    11.8    11.5    11.5 1
-1998  9 21    12.2    11.9    11.9 1
-1998  9 22    14.6    14.3    14.3 1
-1998  9 23    11.9    11.6    11.6 1
-1998  9 24    14.0    13.7    13.7 1
-1998  9 25     8.8     8.5     8.5 1
-1998  9 26     9.2     8.9     8.9 1
-1998  9 27    12.7    12.4    12.4 1
-1998  9 28    12.0    11.7    11.7 1
-1998  9 29    10.8    10.5    10.5 1
-1998  9 30     7.2     6.9     6.9 1
-1998 10  1     5.8     5.5     5.5 1
-1998 10  2     6.8     6.5     6.5 1
-1998 10  3     7.4     7.1     7.1 1
-1998 10  4     6.7     6.4     6.4 1
-1998 10  5     7.3     7.0     7.0 1
-1998 10  6     6.9     6.6     6.6 1
-1998 10  7     6.4     6.1     6.1 1
-1998 10  8     6.2     5.9     5.9 1
-1998 10  9     6.9     6.6     6.6 1
-1998 10 10     9.5     9.3     9.3 1
-1998 10 11     9.0     8.8     8.8 1
-1998 10 12     8.1     7.9     7.9 1
-1998 10 13     6.8     6.6     6.6 1
-1998 10 14     8.4     8.2     8.2 1
-1998 10 15     8.0     7.8     7.8 1
-1998 10 16     5.6     5.4     5.4 1
-1998 10 17     6.0     5.7     5.7 1
-1998 10 18     6.2     5.9     5.9 1
-1998 10 19     5.5     5.2     5.2 1
-1998 10 20     5.6     5.3     5.3 1
-1998 10 21     3.9     3.6     3.6 1
-1998 10 22    10.0     9.7     9.7 1
-1998 10 23    12.6    12.3    12.3 1
-1998 10 24     7.7     7.4     7.4 1
-1998 10 25     9.3     9.0     9.0 1
-1998 10 26     8.6     8.3     8.3 1
-1998 10 27     5.8     5.5     5.5 1
-1998 10 28     5.0     4.7     4.7 1
-1998 10 29     5.9     5.6     5.6 1
-1998 10 30     3.5     3.1     3.1 1
-1998 10 31     1.6     1.2     1.2 1
-1998 11  1     2.6     2.2     2.2 1
-1998 11  2     1.9     1.5     1.5 1
-1998 11  3     1.4     1.0     1.0 1
-1998 11  4     1.7     1.3     1.3 1
-1998 11  5     1.1     0.7     0.7 1
-1998 11  6     0.6     0.2     0.2 1
-1998 11  7    -0.4    -0.8    -0.8 1
-1998 11  8    -2.1    -2.5    -2.5 1
-1998 11  9    -1.3    -1.7    -1.7 1
-1998 11 10     1.1     0.7     0.7 1
-1998 11 11     1.9     1.5     1.5 1
-1998 11 12     2.1     1.7     1.7 1
-1998 11 13     1.7     1.2     1.2 1
-1998 11 14     0.3    -0.2    -0.2 1
-1998 11 15    -0.8    -1.3    -1.3 1
-1998 11 16    -1.3    -1.8    -1.8 1
-1998 11 17    -1.9    -2.4    -2.4 1
-1998 11 18    -1.3    -1.8    -1.8 1
-1998 11 19    -3.6    -4.1    -4.1 1
-1998 11 20    -4.9    -5.4    -5.4 1
-1998 11 21    -1.9    -2.4    -2.4 1
-1998 11 22     0.2    -0.3    -0.3 1
-1998 11 23    -3.8    -4.3    -4.3 1
-1998 11 24     0.7     0.2     0.2 1
-1998 11 25     1.8     1.3     1.3 1
-1998 11 26     1.9     1.4     1.4 1
-1998 11 27     1.3     0.8     0.8 1
-1998 11 28     1.5     1.0     1.0 1
-1998 11 29     2.1     1.6     1.6 1
-1998 11 30     2.4     1.9     1.9 1
-1998 12  1    -0.1    -0.6    -0.6 1
-1998 12  2     1.7     1.2     1.2 1
-1998 12  3     0.5     0.0     0.0 1
-1998 12  4    -0.9    -1.4    -1.4 1
-1998 12  5     0.1    -0.5    -0.5 1
-1998 12  6    -2.6    -3.2    -3.2 1
-1998 12  7    -3.0    -3.6    -3.6 1
-1998 12  8    -2.8    -3.4    -3.4 1
-1998 12  9    -2.0    -2.6    -2.6 1
-1998 12 10    -1.6    -2.2    -2.2 1
-1998 12 11    -1.3    -1.9    -1.9 1
-1998 12 12    -1.8    -2.4    -2.4 1
-1998 12 13    -1.2    -1.8    -1.8 1
-1998 12 14    -1.2    -1.8    -1.8 1
-1998 12 15     3.1     2.5     2.5 1
-1998 12 16     3.1     2.5     2.5 1
-1998 12 17     4.7     4.1     4.1 1
-1998 12 18     5.7     5.1     5.1 1
-1998 12 19     3.0     2.4     2.4 1
-1998 12 20    -1.2    -1.8    -1.8 1
-1998 12 21    -4.4    -5.0    -5.0 1
-1998 12 22    -7.3    -7.9    -7.9 1
-1998 12 23    -2.3    -2.9    -2.9 1
-1998 12 24     0.8     0.2     0.2 1
-1998 12 25     3.0     2.3     2.3 1
-1998 12 26     2.5     1.8     1.8 1
-1998 12 27     3.0     2.3     2.3 1
-1998 12 28     4.4     3.7     3.7 1
-1998 12 29     2.6     1.9     1.9 1
-1998 12 30    -0.2    -0.9    -0.9 1
-1998 12 31     1.9     1.2     1.2 1
-1999  1  1     0.5    -0.2    -0.2 1
-1999  1  2     1.1     0.4     0.4 1
-1999  1  3     2.3     1.6     1.6 1
-1999  1  4     2.1     1.4     1.4 1
-1999  1  5     2.7     2.0     2.0 1
-1999  1  6     0.1    -0.6    -0.6 1
-1999  1  7    -1.1    -1.8    -1.8 1
-1999  1  8    -4.5    -5.2    -5.2 1
-1999  1  9    -4.1    -4.8    -4.8 1
-1999  1 10    -5.6    -6.3    -6.3 1
-1999  1 11    -5.0    -5.8    -5.8 1
-1999  1 12    -3.1    -3.9    -3.9 1
-1999  1 13    -6.5    -7.3    -7.3 1
-1999  1 14    -6.5    -7.3    -7.3 1
-1999  1 15    -1.8    -2.6    -2.6 1
-1999  1 16     2.4     1.6     1.6 1
-1999  1 17     1.7     0.9     0.9 1
-1999  1 18     3.3     2.5     2.5 1
-1999  1 19     2.9     2.1     2.1 1
-1999  1 20     6.2     5.4     5.4 1
-1999  1 21     6.4     5.6     5.6 1
-1999  1 22     3.3     2.5     2.5 1
-1999  1 23     3.1     2.3     2.3 1
-1999  1 24     2.0     1.2     1.2 1
-1999  1 25     2.4     1.6     1.6 1
-1999  1 26    -6.4    -7.2    -7.2 1
-1999  1 27   -11.1   -11.9   -11.9 1
-1999  1 28   -15.4   -16.2   -16.2 1
-1999  1 29   -11.8   -12.6   -12.6 1
-1999  1 30    -7.5    -8.3    -8.3 1
-1999  1 31    -0.9    -1.7    -1.7 1
-1999  2  1     3.6     2.8     2.8 1
-1999  2  2     4.8     4.0     4.0 1
-1999  2  3     2.6     1.8     1.8 1
-1999  2  4     2.9     2.1     2.1 1
-1999  2  5    -3.1    -3.9    -3.9 1
-1999  2  6    -8.9    -9.7    -9.7 1
-1999  2  7    -9.1    -9.9    -9.9 1
-1999  2  8   -10.4   -11.2   -11.2 1
-1999  2  9    -5.8    -6.6    -6.6 1
-1999  2 10    -7.0    -7.8    -7.8 1
-1999  2 11    -7.6    -8.4    -8.4 1
-1999  2 12    -1.9    -2.7    -2.7 1
-1999  2 13     1.8     1.0     1.0 1
-1999  2 14     1.9     1.1     1.1 1
-1999  2 15     1.5     0.7     0.7 1
-1999  2 16     2.3     1.4     1.4 1
-1999  2 17    -2.3    -3.2    -3.2 1
-1999  2 18    -1.4    -2.3    -2.3 1
-1999  2 19    -1.2    -2.1    -2.1 1
-1999  2 20     1.0     0.1     0.1 1
-1999  2 21     0.3    -0.6    -0.6 1
-1999  2 22    -0.1    -1.0    -1.0 1
-1999  2 23    -0.6    -1.5    -1.5 1
-1999  2 24    -2.3    -3.2    -3.2 1
-1999  2 25    -4.3    -5.2    -5.2 1
-1999  2 26    -2.2    -3.1    -3.1 1
-1999  2 27    -0.5    -1.4    -1.4 1
-1999  2 28     2.3     1.4     1.4 1
-1999  3  1     3.4     2.5     2.5 1
-1999  3  2     1.2     0.3     0.3 1
-1999  3  3    -1.1    -2.0    -2.0 1
-1999  3  4     0.2    -0.7    -0.7 1
-1999  3  5     0.9     0.0     0.0 1
-1999  3  6     1.2     0.3     0.3 1
-1999  3  7     2.5     1.6     1.6 1
-1999  3  8     0.4    -0.5    -0.5 1
-1999  3  9    -2.4    -3.3    -3.3 1
-1999  3 10    -3.6    -4.5    -4.5 1
-1999  3 11    -4.0    -4.9    -4.9 1
-1999  3 12    -3.5    -4.4    -4.4 1
-1999  3 13    -3.2    -4.2    -4.2 1
-1999  3 14    -0.1    -1.1    -1.1 1
-1999  3 15     0.7    -0.3    -0.3 1
-1999  3 16     0.8    -0.2    -0.2 1
-1999  3 17     0.6    -0.3    -0.3 1
-1999  3 18     1.9     1.0     1.0 1
-1999  3 19     3.0     2.1     2.1 1
-1999  3 20     2.5     1.6     1.6 1
-1999  3 21     1.2     0.3     0.3 1
-1999  3 22     2.3     1.4     1.4 1
-1999  3 23     1.3     0.4     0.4 1
-1999  3 24     1.0     0.1     0.1 1
-1999  3 25     5.1     4.2     4.2 1
-1999  3 26     3.7     2.8     2.8 1
-1999  3 27     7.8     6.9     6.9 1
-1999  3 28     5.5     4.6     4.6 1
-1999  3 29     6.3     5.4     5.4 1
-1999  3 30     7.3     6.4     6.4 1
-1999  3 31     7.7     6.8     6.8 1
-1999  4  1     8.9     8.0     8.0 1
-1999  4  2     9.2     8.3     8.3 1
-1999  4  3     7.6     6.7     6.7 1
-1999  4  4     3.5     2.6     2.6 1
-1999  4  5     7.3     6.4     6.4 1
-1999  4  6     8.4     7.6     7.6 1
-1999  4  7     9.0     8.2     8.2 1
-1999  4  8     6.7     5.9     5.9 1
-1999  4  9    10.7     9.9     9.9 1
-1999  4 10    10.6     9.8     9.8 1
-1999  4 11     8.4     7.6     7.6 1
-1999  4 12     3.1     2.3     2.3 1
-1999  4 13     4.8     4.0     4.0 1
-1999  4 14     7.0     6.2     6.2 1
-1999  4 15     5.6     4.8     4.8 1
-1999  4 16     6.2     5.4     5.4 1
-1999  4 17     2.5     1.7     1.7 1
-1999  4 18     5.4     4.5     4.5 1
-1999  4 19     5.0     4.1     4.1 1
-1999  4 20     8.0     7.1     7.1 1
-1999  4 21     5.7     4.8     4.8 1
-1999  4 22     6.8     5.9     5.9 1
-1999  4 23     8.9     7.9     7.9 1
-1999  4 24     7.8     6.8     6.8 1
-1999  4 25     8.7     7.7     7.7 1
-1999  4 26    10.8     9.8     9.8 1
-1999  4 27    11.0    10.0    10.0 1
-1999  4 28    12.6    11.6    11.6 1
-1999  4 29     7.4     6.3     6.3 1
-1999  4 30     7.6     6.5     6.5 1
-1999  5  1     5.8     4.7     4.7 1
-1999  5  2     4.5     3.4     3.4 1
-1999  5  3     5.3     4.2     4.2 1
-1999  5  4     6.3     5.1     5.1 1
-1999  5  5     7.9     6.7     6.7 1
-1999  5  6     8.7     7.5     7.5 1
-1999  5  7    10.1     8.9     8.9 1
-1999  5  8     4.6     3.4     3.4 1
-1999  5  9     3.8     2.5     2.5 1
-1999  5 10     2.6     1.3     1.3 1
-1999  5 11     4.0     2.7     2.7 1
-1999  5 12     4.0     2.7     2.7 1
-1999  5 13     6.4     5.1     5.1 1
-1999  5 14     7.4     6.0     6.0 1
-1999  5 15     8.4     7.0     7.0 1
-1999  5 16    10.5     9.1     9.1 1
-1999  5 17     9.5     8.1     8.1 1
-1999  5 18    14.9    13.6    13.6 1
-1999  5 19    16.7    15.4    15.4 1
-1999  5 20    15.2    13.9    13.9 1
-1999  5 21    15.4    14.1    14.1 1
-1999  5 22    13.9    12.6    12.6 1
-1999  5 23    11.8    10.5    10.5 1
-1999  5 24    14.7    13.4    13.4 1
-1999  5 25    15.1    13.8    13.8 1
-1999  5 26    13.6    12.3    12.3 1
-1999  5 27    14.9    13.6    13.6 1
-1999  5 28    17.2    15.9    15.9 1
-1999  5 29    16.0    14.8    14.8 1
-1999  5 30    12.2    11.0    11.0 1
-1999  5 31    12.8    11.6    11.6 1
-1999  6  1    17.1    15.9    15.9 1
-1999  6  2    17.2    16.0    16.0 1
-1999  6  3    16.7    15.5    15.5 1
-1999  6  4    16.9    15.7    15.7 1
-1999  6  5    16.0    14.8    14.8 1
-1999  6  6    14.3    13.1    13.1 1
-1999  6  7    14.2    13.0    13.0 1
-1999  6  8    15.4    14.2    14.2 1
-1999  6  9    14.1    13.0    13.0 1
-1999  6 10    16.0    14.9    14.9 1
-1999  6 11    16.9    15.8    15.8 1
-1999  6 12    16.7    15.6    15.6 1
-1999  6 13    19.2    18.1    18.1 1
-1999  6 14    20.5    19.4    19.4 1
-1999  6 15    19.4    18.3    18.3 1
-1999  6 16    20.8    19.7    19.7 1
-1999  6 17    21.0    19.9    19.9 1
-1999  6 18    16.6    15.5    15.5 1
-1999  6 19    19.2    18.1    18.1 1
-1999  6 20    19.6    18.5    18.5 1
-1999  6 21    16.4    15.3    15.3 1
-1999  6 22    16.8    15.7    15.7 1
-1999  6 23    10.5     9.4     9.4 1
-1999  6 24    15.6    14.5    14.5 1
-1999  6 25    16.4    15.3    15.3 1
-1999  6 26    14.1    13.0    13.0 1
-1999  6 27    17.2    16.1    16.1 1
-1999  6 28    20.8    19.7    19.7 1
-1999  6 29    18.9    17.8    17.8 1
-1999  6 30    20.6    19.6    19.6 1
-1999  7  1    19.7    18.7    18.7 1
-1999  7  2    17.4    16.4    16.4 1
-1999  7  3    17.0    16.0    16.0 1
-1999  7  4    18.5    17.5    17.5 1
-1999  7  5    19.6    18.6    18.6 1
-1999  7  6    20.1    19.1    19.1 1
-1999  7  7    17.2    16.2    16.2 1
-1999  7  8    17.4    16.4    16.4 1
-1999  7  9    21.4    20.4    20.4 1
-1999  7 10    24.2    23.2    23.2 1
-1999  7 11    24.7    23.7    23.7 1
-1999  7 12    25.4    24.4    24.4 1
-1999  7 13    24.8    23.8    23.8 1
-1999  7 14    24.8    23.8    23.8 1
-1999  7 15    20.7    19.7    19.7 1
-1999  7 16    18.9    17.9    17.9 1
-1999  7 17    18.8    17.8    17.8 1
-1999  7 18    19.2    18.2    18.2 1
-1999  7 19    22.0    21.0    21.0 1
-1999  7 20    22.3    21.3    21.3 1
-1999  7 21    20.6    19.6    19.6 1
-1999  7 22    18.2    17.2    17.2 1
-1999  7 23    15.6    14.6    14.6 1
-1999  7 24    19.1    18.2    18.2 1
-1999  7 25    19.2    18.3    18.3 1
-1999  7 26    18.3    17.4    17.4 1
-1999  7 27    18.7    17.8    17.8 1
-1999  7 28    19.4    18.5    18.5 1
-1999  7 29    21.7    20.8    20.8 1
-1999  7 30    20.2    19.3    19.3 1
-1999  7 31    21.4    20.5    20.5 1
-1999  8  1    24.3    23.4    23.4 1
-1999  8  2    24.9    24.0    24.0 1
-1999  8  3    25.3    24.4    24.4 1
-1999  8  4    24.6    23.7    23.7 1
-1999  8  5    21.8    20.9    20.9 1
-1999  8  6    16.2    15.4    15.4 1
-1999  8  7    16.4    15.6    15.6 1
-1999  8  8    17.1    16.3    16.3 1
-1999  8  9    16.5    15.7    15.7 1
-1999  8 10    15.0    14.2    14.2 1
-1999  8 11    15.8    15.0    15.0 1
-1999  8 12    15.2    14.4    14.4 1
-1999  8 13    14.9    14.1    14.1 1
-1999  8 14    16.0    15.2    15.2 1
-1999  8 15    15.1    14.3    14.3 1
-1999  8 16    14.7    13.9    13.9 1
-1999  8 17    16.1    15.4    15.4 1
-1999  8 18    17.8    17.1    17.1 1
-1999  8 19    16.3    15.6    15.6 1
-1999  8 20    15.5    14.8    14.8 1
-1999  8 21    14.4    13.7    13.7 1
-1999  8 22    13.1    12.4    12.4 1
-1999  8 23    14.6    13.9    13.9 1
-1999  8 24    14.0    13.4    13.4 1
-1999  8 25    17.1    16.5    16.5 1
-1999  8 26    16.6    16.0    16.0 1
-1999  8 27    16.5    15.9    15.9 1
-1999  8 28    16.5    15.9    15.9 1
-1999  8 29    16.8    16.2    16.2 1
-1999  8 30    17.9    17.4    17.4 1
-1999  8 31    14.6    14.1    14.1 1
-1999  9  1    13.5    13.0    13.0 1
-1999  9  2    16.3    15.8    15.8 1
-1999  9  3    21.3    20.8    20.8 1
-1999  9  4    20.8    20.3    20.3 1
-1999  9  5    20.3    19.8    19.8 1
-1999  9  6    19.7    19.3    19.3 1
-1999  9  7    19.7    19.3    19.3 1
-1999  9  8    19.7    19.3    19.3 1
-1999  9  9    19.2    18.8    18.8 1
-1999  9 10    17.8    17.4    17.4 1
-1999  9 11    17.4    17.0    17.0 1
-1999  9 12    16.5    16.2    16.2 1
-1999  9 13    15.0    14.7    14.7 1
-1999  9 14    14.7    14.4    14.4 1
-1999  9 15    14.7    14.4    14.4 1
-1999  9 16    15.0    14.7    14.7 1
-1999  9 17    14.9    14.6    14.6 1
-1999  9 18    15.9    15.6    15.6 1
-1999  9 19    15.4    15.1    15.1 1
-1999  9 20    15.6    15.3    15.3 1
-1999  9 21    16.2    15.9    15.9 1
-1999  9 22    14.9    14.6    14.6 1
-1999  9 23    14.3    14.0    14.0 1
-1999  9 24    14.2    13.9    13.9 1
-1999  9 25    12.1    11.8    11.8 1
-1999  9 26    12.5    12.2    12.2 1
-1999  9 27    13.4    13.1    13.1 1
-1999  9 28    13.2    12.9    12.9 1
-1999  9 29    13.9    13.6    13.6 1
-1999  9 30    13.7    13.4    13.4 1
-1999 10  1    13.7    13.4    13.4 1
-1999 10  2    12.2    11.9    11.9 1
-1999 10  3    11.4    11.1    11.1 1
-1999 10  4    11.5    11.2    11.2 1
-1999 10  5    11.9    11.6    11.6 1
-1999 10  6    10.3    10.0    10.0 1
-1999 10  7     7.7     7.4     7.4 1
-1999 10  8     9.6     9.3     9.3 1
-1999 10  9     7.0     6.7     6.7 1
-1999 10 10     7.2     6.9     6.9 1
-1999 10 11     9.1     8.9     8.9 1
-1999 10 12     9.6     9.4     9.4 1
-1999 10 13     9.5     9.3     9.3 1
-1999 10 14     7.6     7.4     7.4 1
-1999 10 15     6.7     6.5     6.5 1
-1999 10 16     6.0     5.8     5.8 1
-1999 10 17     4.9     4.6     4.6 1
-1999 10 18     5.0     4.7     4.7 1
-1999 10 19     4.6     4.3     4.3 1
-1999 10 20     4.1     3.8     3.8 1
-1999 10 21     4.4     4.1     4.1 1
-1999 10 22     5.8     5.5     5.5 1
-1999 10 23     6.6     6.3     6.3 1
-1999 10 24     8.1     7.8     7.8 1
-1999 10 25     9.5     9.2     9.2 1
-1999 10 26     9.4     9.1     9.1 1
-1999 10 27     6.7     6.4     6.4 1
-1999 10 28     7.3     7.0     7.0 1
-1999 10 29     8.2     7.9     7.9 1
-1999 10 30     8.7     8.3     8.3 1
-1999 10 31     7.9     7.5     7.5 1
-1999 11  1     9.8     9.4     9.4 1
-1999 11  2    10.3     9.9     9.9 1
-1999 11  3     8.0     7.6     7.6 1
-1999 11  4     9.0     8.6     8.6 1
-1999 11  5     7.7     7.3     7.3 1
-1999 11  6     6.8     6.4     6.4 1
-1999 11  7     6.7     6.3     6.3 1
-1999 11  8     6.5     6.1     6.1 1
-1999 11  9     7.5     7.1     7.1 1
-1999 11 10     3.7     3.3     3.3 1
-1999 11 11     6.9     6.5     6.5 1
-1999 11 12     9.9     9.5     9.5 1
-1999 11 13     7.9     7.4     7.4 1
-1999 11 14     1.4     0.9     0.9 1
-1999 11 15    -0.7    -1.2    -1.2 1
-1999 11 16     3.1     2.6     2.6 1
-1999 11 17     2.3     1.8     1.8 1
-1999 11 18     3.0     2.5     2.5 1
-1999 11 19     1.1     0.6     0.6 1
-1999 11 20    -1.4    -1.9    -1.9 1
-1999 11 21    -1.7    -2.2    -2.2 1
-1999 11 22     0.5     0.0     0.0 1
-1999 11 23    -0.6    -1.1    -1.1 1
-1999 11 24     2.5     2.0     2.0 1
-1999 11 25     4.1     3.6     3.6 1
-1999 11 26     5.5     5.0     5.0 1
-1999 11 27     6.9     6.4     6.4 1
-1999 11 28     5.4     4.9     4.9 1
-1999 11 29     7.2     6.7     6.7 1
-1999 11 30     3.1     2.6     2.6 1
-1999 12  1     5.2     4.7     4.7 1
-1999 12  2     0.9     0.4     0.4 1
-1999 12  3    -0.5    -1.0    -1.0 1
-1999 12  4    -0.2    -0.7    -0.7 1
-1999 12  5    -4.9    -5.5    -5.5 1
-1999 12  6     0.0    -0.6    -0.6 1
-1999 12  7     4.8     4.2     4.2 1
-1999 12  8    -2.8    -3.4    -3.4 1
-1999 12  9     2.5     1.9     1.9 1
-1999 12 10     4.5     3.9     3.9 1
-1999 12 11    -2.3    -2.9    -2.9 1
-1999 12 12     1.8     1.2     1.2 1
-1999 12 13    -2.0    -2.6    -2.6 1
-1999 12 14    -6.0    -6.6    -6.6 1
-1999 12 15    -2.4    -3.0    -3.0 1
-1999 12 16    -7.6    -8.2    -8.2 1
-1999 12 17     0.7     0.1     0.1 1
-1999 12 18    -1.4    -2.0    -2.0 1
-1999 12 19    -2.0    -2.6    -2.6 1
-1999 12 20    -4.3    -4.9    -4.9 1
-1999 12 21    -5.7    -6.3    -6.3 1
-1999 12 22    -1.2    -1.8    -1.8 1
-1999 12 23     1.5     0.9     0.9 1
-1999 12 24     2.7     2.1     2.1 1
-1999 12 25     3.1     2.4     2.4 1
-1999 12 26     2.2     1.5     1.5 1
-1999 12 27     1.0     0.3     0.3 1
-1999 12 28    -0.4    -1.1    -1.1 1
-1999 12 29    -2.1    -2.8    -2.8 1
-1999 12 30    -6.6    -7.3    -7.3 1
-1999 12 31    -8.6    -9.3    -9.3 1
-2000  1  1    -2.3    -3.0    -3.0 1
-2000  1  2     1.3     0.6     0.6 1
-2000  1  3     0.8     0.1     0.1 1
-2000  1  4     3.5     2.8     2.8 1
-2000  1  5    -0.6    -1.3    -1.3 1
-2000  1  6     2.5     1.8     1.8 1
-2000  1  7     2.9     2.2     2.2 1
-2000  1  8     5.1     4.4     4.4 1
-2000  1  9     3.9     3.2     3.2 1
-2000  1 10     1.2     0.5     0.5 1
-2000  1 11     3.9     3.1     3.1 1
-2000  1 12     4.4     3.6     3.6 1
-2000  1 13     3.5     2.7     2.7 1
-2000  1 14    -0.2    -1.0    -1.0 1
-2000  1 15    -1.7    -2.5    -2.5 1
-2000  1 16     1.2     0.4     0.4 1
-2000  1 17     3.7     2.9     2.9 1
-2000  1 18    -0.2    -1.0    -1.0 1
-2000  1 19    -1.4    -2.2    -2.2 1
-2000  1 20    -0.3    -1.1    -1.1 1
-2000  1 21    -6.8    -7.6    -7.6 1
-2000  1 22   -10.1   -10.9   -10.9 1
-2000  1 23    -9.9   -10.7   -10.7 1
-2000  1 24    -7.9    -8.7    -8.7 1
-2000  1 25    -3.8    -4.6    -4.6 1
-2000  1 26     0.1    -0.7    -0.7 1
-2000  1 27     1.0     0.2     0.2 1
-2000  1 28    -1.4    -2.2    -2.2 1
-2000  1 29     1.5     0.7     0.7 1
-2000  1 30     1.2     0.4     0.4 1
-2000  1 31    -3.4    -4.2    -4.2 1
-2000  2  1    -2.8    -3.6    -3.6 1
-2000  2  2    -0.8    -1.6    -1.6 1
-2000  2  3    -3.9    -4.7    -4.7 1
-2000  2  4     2.9     2.1     2.1 1
-2000  2  5     2.0     1.2     1.2 1
-2000  2  6     5.7     4.9     4.9 1
-2000  2  7     4.0     3.2     3.2 1
-2000  2  8     2.7     1.9     1.9 1
-2000  2  9    -0.7    -1.5    -1.5 1
-2000  2 10     0.7    -0.1    -0.1 1
-2000  2 11     4.3     3.5     3.5 1
-2000  2 12     4.6     3.8     3.8 1
-2000  2 13     2.7     1.9     1.9 1
-2000  2 14    -0.1    -0.9    -0.9 1
-2000  2 15     0.2    -0.6    -0.6 1
-2000  2 16    -0.3    -1.2    -1.2 1
-2000  2 17    -1.0    -1.9    -1.9 1
-2000  2 18    -2.6    -3.5    -3.5 1
-2000  2 19    -2.9    -3.8    -3.8 1
-2000  2 20    -2.8    -3.7    -3.7 1
-2000  2 21    -3.6    -4.5    -4.5 1
-2000  2 22    -2.5    -3.4    -3.4 1
-2000  2 23    -2.1    -3.0    -3.0 1
-2000  2 24    -0.4    -1.3    -1.3 1
-2000  2 25    -0.7    -1.6    -1.6 1
-2000  2 26    -1.1    -2.0    -2.0 1
-2000  2 27     3.4     2.5     2.5 1
-2000  2 28     4.5     3.6     3.6 1
-2000  2 29     4.7     3.8     3.8 1
-2000  3  1     2.6     1.7     1.7 1
-2000  3  2     1.0     0.1     0.1 1
-2000  3  3     1.7     0.8     0.8 1
-2000  3  4    -2.6    -3.5    -3.5 1
-2000  3  5    -3.5    -4.4    -4.4 1
-2000  3  6     1.4     0.5     0.5 1
-2000  3  7     4.6     3.7     3.7 1
-2000  3  8     0.5    -0.4    -0.4 1
-2000  3  9    -0.2    -1.1    -1.1 1
-2000  3 10     1.7     0.8     0.8 1
-2000  3 11    -1.1    -2.0    -2.0 1
-2000  3 12    -0.4    -1.3    -1.3 1
-2000  3 13     4.0     3.0     3.0 1
-2000  3 14     4.8     3.8     3.8 1
-2000  3 15     1.0     0.0     0.0 1
-2000  3 16     0.2    -0.8    -0.8 1
-2000  3 17     0.1    -0.8    -0.8 1
-2000  3 18     1.0     0.1     0.1 1
-2000  3 19     1.9     1.0     1.0 1
-2000  3 20     8.3     7.4     7.4 1
-2000  3 21     7.1     6.2     6.2 1
-2000  3 22     5.0     4.1     4.1 1
-2000  3 23     2.4     1.5     1.5 1
-2000  3 24     3.3     2.4     2.4 1
-2000  3 25     3.7     2.8     2.8 1
-2000  3 26     1.5     0.6     0.6 1
-2000  3 27     0.6    -0.3    -0.3 1
-2000  3 28     0.3    -0.6    -0.6 1
-2000  3 29     2.1     1.2     1.2 1
-2000  3 30     5.9     5.0     5.0 1
-2000  3 31     7.9     7.0     7.0 1
-2000  4  1     2.3     1.4     1.4 1
-2000  4  2    -1.1    -2.0    -2.0 1
-2000  4  3     0.8    -0.1    -0.1 1
-2000  4  4     5.0     4.1     4.1 1
-2000  4  5     1.1     0.2     0.2 1
-2000  4  6     3.7     2.9     2.9 1
-2000  4  7     2.6     1.8     1.8 1
-2000  4  8     2.2     1.4     1.4 1
-2000  4  9     2.4     1.6     1.6 1
-2000  4 10     4.3     3.5     3.5 1
-2000  4 11     3.1     2.3     2.3 1
-2000  4 12     3.4     2.6     2.6 1
-2000  4 13     4.3     3.5     3.5 1
-2000  4 14     3.5     2.7     2.7 1
-2000  4 15     5.8     5.0     5.0 1
-2000  4 16     6.0     5.2     5.2 1
-2000  4 17     8.3     7.5     7.5 1
-2000  4 18     9.3     8.4     8.4 1
-2000  4 19    10.5     9.6     9.6 1
-2000  4 20    10.3     9.4     9.4 1
-2000  4 21    11.3    10.4    10.4 1
-2000  4 22    12.6    11.7    11.7 1
-2000  4 23    11.9    10.9    10.9 1
-2000  4 24    11.5    10.5    10.5 1
-2000  4 25     9.2     8.2     8.2 1
-2000  4 26    11.5    10.5    10.5 1
-2000  4 27    10.2     9.2     9.2 1
-2000  4 28    13.1    12.1    12.1 1
-2000  4 29    15.7    14.6    14.6 1
-2000  4 30    11.1    10.0    10.0 1
-2000  5  1     7.8     6.7     6.7 1
-2000  5  2     7.3     6.2     6.2 1
-2000  5  3     8.7     7.6     7.6 1
-2000  5  4     8.1     6.9     6.9 1
-2000  5  5    12.2    11.0    11.0 1
-2000  5  6    10.3     9.1     9.1 1
-2000  5  7    11.3    10.1    10.1 1
-2000  5  8    13.5    12.3    12.3 1
-2000  5  9    15.9    14.6    14.6 1
-2000  5 10    17.3    16.0    16.0 1
-2000  5 11    10.4     9.1     9.1 1
-2000  5 12     7.3     6.0     6.0 1
-2000  5 13    13.9    12.6    12.6 1
-2000  5 14    15.9    14.5    14.5 1
-2000  5 15    16.3    14.9    14.9 1
-2000  5 16    12.9    11.5    11.5 1
-2000  5 17    16.8    15.4    15.4 1
-2000  5 18    15.4    14.1    14.1 1
-2000  5 19    12.8    11.5    11.5 1
-2000  5 20    12.6    11.3    11.3 1
-2000  5 21    13.2    11.9    11.9 1
-2000  5 22    12.8    11.5    11.5 1
-2000  5 23    14.3    13.0    13.0 1
-2000  5 24    13.2    11.9    11.9 1
-2000  5 25    11.8    10.5    10.5 1
-2000  5 26    10.5     9.2     9.2 1
-2000  5 27    12.9    11.6    11.6 1
-2000  5 28    13.0    11.7    11.7 1
-2000  5 29    12.3    11.1    11.1 1
-2000  5 30    12.0    10.8    10.8 1
-2000  5 31    10.3     9.1     9.1 1
-2000  6  1    12.4    11.2    11.2 1
-2000  6  2    12.8    11.6    11.6 1
-2000  6  3    13.6    12.4    12.4 1
-2000  6  4    11.9    10.7    10.7 1
-2000  6  5    11.0     9.8     9.8 1
-2000  6  6    12.8    11.6    11.6 1
-2000  6  7     9.4     8.2     8.2 1
-2000  6  8    12.1    10.9    10.9 1
-2000  6  9    15.9    14.8    14.8 1
-2000  6 10    17.3    16.2    16.2 1
-2000  6 11    19.2    18.1    18.1 1
-2000  6 12    13.9    12.8    12.8 1
-2000  6 13    16.1    15.0    15.0 1
-2000  6 14    15.8    14.7    14.7 1
-2000  6 15    14.6    13.5    13.5 1
-2000  6 16    10.6     9.5     9.5 1
-2000  6 17    11.7    10.6    10.6 1
-2000  6 18    13.9    12.8    12.8 1
-2000  6 19    17.4    16.3    16.3 1
-2000  6 20    20.4    19.3    19.3 1
-2000  6 21    18.5    17.4    17.4 1
-2000  6 22    19.6    18.5    18.5 1
-2000  6 23    17.5    16.4    16.4 1
-2000  6 24    17.7    16.6    16.6 1
-2000  6 25    15.6    14.5    14.5 1
-2000  6 26    15.6    14.5    14.5 1
-2000  6 27    12.9    11.8    11.8 1
-2000  6 28    14.5    13.4    13.4 1
-2000  6 29    12.3    11.2    11.2 1
-2000  6 30    14.4    13.4    13.4 1
-2000  7  1    14.8    13.8    13.8 1
-2000  7  2    13.8    12.8    12.8 1
-2000  7  3    19.0    18.0    18.0 1
-2000  7  4    21.7    20.7    20.7 1
-2000  7  5    20.2    19.2    19.2 1
-2000  7  6    17.4    16.4    16.4 1
-2000  7  7    16.5    15.5    15.5 1
-2000  7  8    15.4    14.4    14.4 1
-2000  7  9    15.2    14.2    14.2 1
-2000  7 10    15.7    14.7    14.7 1
-2000  7 11    16.8    15.8    15.8 1
-2000  7 12    15.5    14.5    14.5 1
-2000  7 13    15.1    14.1    14.1 1
-2000  7 14    14.2    13.2    13.2 1
-2000  7 15    14.2    13.2    13.2 1
-2000  7 16    13.9    12.9    12.9 1
-2000  7 17    17.8    16.8    16.8 1
-2000  7 18    16.4    15.4    15.4 1
-2000  7 19    16.8    15.8    15.8 1
-2000  7 20    15.5    14.5    14.5 1
-2000  7 21    16.9    15.9    15.9 1
-2000  7 22    18.5    17.5    17.5 1
-2000  7 23    15.3    14.3    14.3 1
-2000  7 24    16.0    15.1    15.1 1
-2000  7 25    15.0    14.1    14.1 1
-2000  7 26    13.5    12.6    12.6 1
-2000  7 27    14.5    13.6    13.6 1
-2000  7 28    15.8    14.9    14.9 1
-2000  7 29    15.2    14.3    14.3 1
-2000  7 30    17.6    16.7    16.7 1
-2000  7 31    19.2    18.3    18.3 1
-2000  8  1    19.1    18.2    18.2 1
-2000  8  2    17.4    16.5    16.5 1
-2000  8  3    15.9    15.0    15.0 1
-2000  8  4    17.4    16.5    16.5 1
-2000  8  5    17.8    16.9    16.9 1
-2000  8  6    17.3    16.5    16.5 1
-2000  8  7    16.1    15.3    15.3 1
-2000  8  8    14.7    13.9    13.9 1
-2000  8  9    16.1    15.3    15.3 1
-2000  8 10    17.2    16.4    16.4 1
-2000  8 11    17.4    16.6    16.6 1
-2000  8 12    18.1    17.3    17.3 1
-2000  8 13    15.9    15.1    15.1 1
-2000  8 14    17.9    17.1    17.1 1
-2000  8 15    18.1    17.3    17.3 1
-2000  8 16    17.7    16.9    16.9 1
-2000  8 17    17.0    16.3    16.3 1
-2000  8 18    17.5    16.8    16.8 1
-2000  8 19    17.1    16.4    16.4 1
-2000  8 20    15.7    15.0    15.0 1
-2000  8 21    15.9    15.2    15.2 1
-2000  8 22    15.0    14.3    14.3 1
-2000  8 23    14.1    13.4    13.4 1
-2000  8 24    13.3    12.7    12.7 1
-2000  8 25    13.5    12.9    12.9 1
-2000  8 26    16.0    15.4    15.4 1
-2000  8 27    16.6    16.0    16.0 1
-2000  8 28    17.0    16.4    16.4 1
-2000  8 29    17.1    16.5    16.5 1
-2000  8 30    16.3    15.8    15.8 1
-2000  8 31    14.1    13.6    13.6 1
-2000  9  1    13.7    13.2    13.2 1
-2000  9  2    15.2    14.7    14.7 1
-2000  9  3    11.3    10.8    10.8 1
-2000  9  4    10.6    10.1    10.1 1
-2000  9  5    11.0    10.5    10.5 1
-2000  9  6    11.9    11.5    11.5 1
-2000  9  7    13.8    13.4    13.4 1
-2000  9  8    14.5    14.1    14.1 1
-2000  9  9    14.7    14.3    14.3 1
-2000  9 10    14.2    13.8    13.8 1
-2000  9 11    12.3    11.9    11.9 1
-2000  9 12    11.3    11.0    11.0 1
-2000  9 13    10.7    10.4    10.4 1
-2000  9 14     9.1     8.8     8.8 1
-2000  9 15    10.2     9.9     9.9 1
-2000  9 16    11.3    11.0    11.0 1
-2000  9 17    12.2    11.9    11.9 1
-2000  9 18    11.7    11.4    11.4 1
-2000  9 19    11.0    10.7    10.7 1
-2000  9 20    10.4    10.1    10.1 1
-2000  9 21     9.8     9.5     9.5 1
-2000  9 22    10.9    10.6    10.6 1
-2000  9 23    11.4    11.1    11.1 1
-2000  9 24    11.4    11.1    11.1 1
-2000  9 25    11.6    11.3    11.3 1
-2000  9 26    11.1    10.8    10.8 1
-2000  9 27    11.9    11.6    11.6 1
-2000  9 28    13.0    12.7    12.7 1
-2000  9 29    15.5    15.2    15.2 1
-2000  9 30    14.5    14.2    14.2 1
-2000 10  1    12.8    12.5    12.5 1
-2000 10  2    14.2    13.9    13.9 1
-2000 10  3    14.2    13.9    13.9 1
-2000 10  4    12.8    12.5    12.5 1
-2000 10  5    12.7    12.4    12.4 1
-2000 10  6    14.1    13.8    13.8 1
-2000 10  7    13.1    12.8    12.8 1
-2000 10  8    13.3    13.0    13.0 1
-2000 10  9    12.8    12.5    12.5 1
-2000 10 10     9.9     9.7     9.7 1
-2000 10 11     9.6     9.4     9.4 1
-2000 10 12    11.0    10.8    10.8 1
-2000 10 13    10.9    10.7    10.7 1
-2000 10 14    10.2    10.0    10.0 1
-2000 10 15     9.0     8.8     8.8 1
-2000 10 16    11.0    10.8    10.8 1
-2000 10 17    12.4    12.1    12.1 1
-2000 10 18    12.0    11.7    11.7 1
-2000 10 19    11.3    11.0    11.0 1
-2000 10 20    11.9    11.6    11.6 1
-2000 10 21    11.3    11.0    11.0 1
-2000 10 22    11.2    10.9    10.9 1
-2000 10 23     8.6     8.3     8.3 1
-2000 10 24    11.4    11.1    11.1 1
-2000 10 25    10.3    10.0    10.0 1
-2000 10 26     7.2     6.9     6.9 1
-2000 10 27     3.0     2.7     2.7 1
-2000 10 28     2.4     2.1     2.1 1
-2000 10 29     7.9     7.6     7.6 1
-2000 10 30     8.1     7.7     7.7 1
-2000 10 31     8.9     8.5     8.5 1
-2000 11  1     9.6     9.2     9.2 1
-2000 11  2     7.7     7.3     7.3 1
-2000 11  3     8.7     8.3     8.3 1
-2000 11  4     9.3     8.9     8.9 1
-2000 11  5     5.9     5.5     5.5 1
-2000 11  6     5.9     5.5     5.5 1
-2000 11  7     8.5     8.1     8.1 1
-2000 11  8     8.8     8.4     8.4 1
-2000 11  9     8.7     8.3     8.3 1
-2000 11 10     8.3     7.9     7.9 1
-2000 11 11     7.8     7.4     7.4 1
-2000 11 12     7.2     6.8     6.8 1
-2000 11 13     8.0     7.5     7.5 1
-2000 11 14     7.0     6.5     6.5 1
-2000 11 15     5.6     5.1     5.1 1
-2000 11 16     2.3     1.8     1.8 1
-2000 11 17     4.7     4.2     4.2 1
-2000 11 18     6.3     5.8     5.8 1
-2000 11 19     6.0     5.5     5.5 1
-2000 11 20     7.5     7.0     7.0 1
-2000 11 21     6.3     5.8     5.8 1
-2000 11 22     7.2     6.7     6.7 1
-2000 11 23     7.3     6.8     6.8 1
-2000 11 24     7.3     6.8     6.8 1
-2000 11 25     7.5     7.0     7.0 1
-2000 11 26     6.2     5.7     5.7 1
-2000 11 27     5.2     4.7     4.7 1
-2000 11 28     5.5     5.0     5.0 1
-2000 11 29     6.4     5.9     5.9 1
-2000 11 30     8.2     7.7     7.7 1
-2000 12  1     5.9     5.4     5.4 1
-2000 12  2     7.9     7.4     7.4 1
-2000 12  3     6.2     5.7     5.7 1
-2000 12  4     7.2     6.7     6.7 1
-2000 12  5     6.4     5.8     5.8 1
-2000 12  6     8.0     7.4     7.4 1
-2000 12  7     6.7     6.1     6.1 1
-2000 12  8     7.1     6.5     6.5 1
-2000 12  9     7.0     6.4     6.4 1
-2000 12 10     6.4     5.8     5.8 1
-2000 12 11     6.9     6.3     6.3 1
-2000 12 12     5.5     4.9     4.9 1
-2000 12 13     8.2     7.6     7.6 1
-2000 12 14     5.2     4.6     4.6 1
-2000 12 15     5.9     5.3     5.3 1
-2000 12 16     4.5     3.9     3.9 1
-2000 12 17     2.0     1.4     1.4 1
-2000 12 18    -0.6    -1.2    -1.2 1
-2000 12 19    -0.3    -0.9    -0.9 1
-2000 12 20    -2.1    -2.7    -2.7 1
-2000 12 21    -1.9    -2.5    -2.5 1
-2000 12 22     0.9     0.3     0.3 1
-2000 12 23    -1.5    -2.1    -2.1 1
-2000 12 24    -1.8    -2.4    -2.4 1
-2000 12 25    -5.0    -5.7    -5.7 1
-2000 12 26    -4.8    -5.5    -5.5 1
-2000 12 27    -0.3    -1.0    -1.0 1
-2000 12 28     0.7     0.0     0.0 1
-2000 12 29     0.3    -0.4    -0.4 1
-2000 12 30     1.2     0.5     0.5 1
-2000 12 31    -0.8    -1.5    -1.5 1
-2001  1  1    -1.3    -2.0    -2.0 1
-2001  1  2     1.6     0.9     0.9 1
-2001  1  3     3.5     2.8     2.8 1
-2001  1  4     3.0     2.3     2.3 1
-2001  1  5     3.2     2.5     2.5 1
-2001  1  6     3.5     2.8     2.8 1
-2001  1  7     3.4     2.7     2.7 1
-2001  1  8     4.3     3.6     3.6 1
-2001  1  9     2.2     1.5     1.5 1
-2001  1 10    -3.2    -3.9    -3.9 1
-2001  1 11    -1.5    -2.3    -2.3 1
-2001  1 12    -3.0    -3.8    -3.8 1
-2001  1 13     0.3    -0.5    -0.5 1
-2001  1 14    -0.5    -1.3    -1.3 1
-2001  1 15    -3.8    -4.6    -4.6 1
-2001  1 16    -5.0    -5.8    -5.8 1
-2001  1 17    -4.4    -5.2    -5.2 1
-2001  1 18    -1.6    -2.4    -2.4 1
-2001  1 19     0.4    -0.4    -0.4 1
-2001  1 20    -1.7    -2.5    -2.5 1
-2001  1 21    -1.1    -1.9    -1.9 1
-2001  1 22    -1.1    -1.9    -1.9 1
-2001  1 23    -0.7    -1.5    -1.5 1
-2001  1 24     1.6     0.8     0.8 1
-2001  1 25     3.2     2.4     2.4 1
-2001  1 26     2.8     2.0     2.0 1
-2001  1 27     1.8     1.0     1.0 1
-2001  1 28     0.5    -0.3    -0.3 1
-2001  1 29     0.0    -0.8    -0.8 1
-2001  1 30    -3.0    -3.8    -3.8 1
-2001  1 31    -1.5    -2.3    -2.3 1
-2001  2  1    -6.2    -7.0    -7.0 1
-2001  2  2    -9.4   -10.2   -10.2 1
-2001  2  3   -14.2   -15.0   -15.0 1
-2001  2  4   -14.8   -15.6   -15.6 1
-2001  2  5   -14.4   -15.2   -15.2 1
-2001  2  6    -3.9    -4.7    -4.7 1
-2001  2  7     3.3     2.5     2.5 1
-2001  2  8     4.2     3.4     3.4 1
-2001  2  9    -0.5    -1.3    -1.3 1
-2001  2 10    -3.2    -4.0    -4.0 1
-2001  2 11     0.1    -0.7    -0.7 1
-2001  2 12     4.7     3.9     3.9 1
-2001  2 13     3.3     2.5     2.5 1
-2001  2 14     3.5     2.7     2.7 1
-2001  2 15     4.0     3.2     3.2 1
-2001  2 16     1.7     0.8     0.8 1
-2001  2 17     1.1     0.2     0.2 1
-2001  2 18     1.8     0.9     0.9 1
-2001  2 19     3.1     2.2     2.2 1
-2001  2 20     1.9     1.0     1.0 1
-2001  2 21     2.1     1.2     1.2 1
-2001  2 22    -5.0    -5.9    -5.9 1
-2001  2 23   -10.6   -11.5   -11.5 1
-2001  2 24    -9.3   -10.2   -10.2 1
-2001  2 25    -8.5    -9.4    -9.4 1
-2001  2 26   -10.5   -11.4   -11.4 1
-2001  2 27   -10.4   -11.3   -11.3 1
-2001  2 28    -8.0    -8.9    -8.9 1
-2001  3  1    -6.4    -7.3    -7.3 1
-2001  3  2    -5.1    -6.0    -6.0 1
-2001  3  3    -9.2   -10.1   -10.1 1
-2001  3  4    -2.2    -3.1    -3.1 1
-2001  3  5    -2.8    -3.7    -3.7 1
-2001  3  6     2.6     1.7     1.7 1
-2001  3  7     0.5    -0.4    -0.4 1
-2001  3  8     1.0     0.1     0.1 1
-2001  3  9     1.9     1.0     1.0 1
-2001  3 10     3.1     2.2     2.2 1
-2001  3 11     5.0     4.1     4.1 1
-2001  3 12     5.8     4.9     4.9 1
-2001  3 13     4.5     3.5     3.5 1
-2001  3 14     3.0     2.0     2.0 1
-2001  3 15     1.9     0.9     0.9 1
-2001  3 16     0.9    -0.1    -0.1 1
-2001  3 17    -2.2    -3.1    -3.1 1
-2001  3 18    -4.9    -5.8    -5.8 1
-2001  3 19    -5.1    -6.0    -6.0 1
-2001  3 20    -3.6    -4.5    -4.5 1
-2001  3 21    -1.8    -2.7    -2.7 1
-2001  3 22    -2.5    -3.4    -3.4 1
-2001  3 23    -2.5    -3.4    -3.4 1
-2001  3 24    -1.2    -2.1    -2.1 1
-2001  3 25    -1.6    -2.5    -2.5 1
-2001  3 26    -1.6    -2.5    -2.5 1
-2001  3 27     0.4    -0.5    -0.5 1
-2001  3 28     1.0     0.1     0.1 1
-2001  3 29     2.7     1.8     1.8 1
-2001  3 30     2.0     1.1     1.1 1
-2001  3 31     3.5     2.6     2.6 1
-2001  4  1     7.7     6.8     6.8 1
-2001  4  2     7.1     6.2     6.2 1
-2001  4  3     7.4     6.5     6.5 1
-2001  4  4     5.9     5.0     5.0 1
-2001  4  5     6.6     5.7     5.7 1
-2001  4  6     6.2     5.4     5.4 1
-2001  4  7     5.5     4.7     4.7 1
-2001  4  8     5.9     5.1     5.1 1
-2001  4  9     8.0     7.2     7.2 1
-2001  4 10     6.2     5.4     5.4 1
-2001  4 11     3.8     3.0     3.0 1
-2001  4 12     2.2     1.4     1.4 1
-2001  4 13     1.0     0.2     0.2 1
-2001  4 14     0.9     0.1     0.1 1
-2001  4 15     2.2     1.4     1.4 1
-2001  4 16     4.5     3.7     3.7 1
-2001  4 17     5.4     4.6     4.6 1
-2001  4 18     3.6     2.7     2.7 1
-2001  4 19     3.4     2.5     2.5 1
-2001  4 20     2.2     1.3     1.3 1
-2001  4 21     4.4     3.5     3.5 1
-2001  4 22     4.8     3.9     3.9 1
-2001  4 23     5.8     4.8     4.8 1
-2001  4 24     7.0     6.0     6.0 1
-2001  4 25     9.5     8.5     8.5 1
-2001  4 26     8.6     7.6     7.6 1
-2001  4 27     9.9     8.9     8.9 1
-2001  4 28    10.6     9.6     9.6 1
-2001  4 29     9.2     8.1     8.1 1
-2001  4 30    11.0     9.9     9.9 1
-2001  5  1    10.6     9.5     9.5 1
-2001  5  2    11.3    10.2    10.2 1
-2001  5  3    13.7    12.6    12.6 1
-2001  5  4     7.9     6.7     6.7 1
-2001  5  5     9.0     7.8     7.8 1
-2001  5  6     7.9     6.7     6.7 1
-2001  5  7    10.8     9.6     9.6 1
-2001  5  8    15.2    14.0    14.0 1
-2001  5  9    16.2    14.9    14.9 1
-2001  5 10    13.2    11.9    11.9 1
-2001  5 11    11.7    10.4    10.4 1
-2001  5 12    13.6    12.3    12.3 1
-2001  5 13    13.5    12.2    12.2 1
-2001  5 14    11.1     9.7     9.7 1
-2001  5 15     9.7     8.3     8.3 1
-2001  5 16     9.8     8.4     8.4 1
-2001  5 17     9.8     8.4     8.4 1
-2001  5 18    12.0    10.7    10.7 1
-2001  5 19    10.7     9.4     9.4 1
-2001  5 20    11.0     9.7     9.7 1
-2001  5 21     8.6     7.3     7.3 1
-2001  5 22    11.6    10.3    10.3 1
-2001  5 23    14.9    13.6    13.6 1
-2001  5 24    11.0     9.7     9.7 1
-2001  5 25     9.3     8.0     8.0 1
-2001  5 26    13.1    11.8    11.8 1
-2001  5 27    15.1    13.8    13.8 1
-2001  5 28     9.2     7.9     7.9 1
-2001  5 29     7.0     5.8     5.8 1
-2001  5 30     7.5     6.3     6.3 1
-2001  5 31    11.2    10.0    10.0 1
-2001  6  1    12.7    11.5    11.5 1
-2001  6  2    12.5    11.3    11.3 1
-2001  6  3    11.6    10.4    10.4 1
-2001  6  4    11.6    10.4    10.4 1
-2001  6  5    14.7    13.5    13.5 1
-2001  6  6    14.7    13.5    13.5 1
-2001  6  7    14.7    13.5    13.5 1
-2001  6  8    12.9    11.7    11.7 1
-2001  6  9    12.5    11.4    11.4 1
-2001  6 10    12.8    11.7    11.7 1
-2001  6 11    13.3    12.2    12.2 1
-2001  6 12    12.6    11.5    11.5 1
-2001  6 13    13.9    12.8    12.8 1
-2001  6 14    15.9    14.8    14.8 1
-2001  6 15    16.8    15.7    15.7 1
-2001  6 16    16.7    15.6    15.6 1
-2001  6 17    13.0    11.9    11.9 1
-2001  6 18    15.0    13.9    13.9 1
-2001  6 19    13.7    12.6    12.6 1
-2001  6 20    16.9    15.8    15.8 1
-2001  6 21    14.9    13.8    13.8 1
-2001  6 22    14.5    13.4    13.4 1
-2001  6 23    17.7    16.6    16.6 1
-2001  6 24    18.6    17.5    17.5 1
-2001  6 25    19.3    18.2    18.2 1
-2001  6 26    19.4    18.3    18.3 1
-2001  6 27    20.5    19.4    19.4 1
-2001  6 28    19.8    18.7    18.7 1
-2001  6 29    19.4    18.3    18.3 1
-2001  6 30    20.3    19.3    19.3 1
-2001  7  1    18.3    17.3    17.3 1
-2001  7  2    19.3    18.3    18.3 1
-2001  7  3    22.2    21.2    21.2 1
-2001  7  4    24.3    23.3    23.3 1
-2001  7  5    23.2    22.2    22.2 1
-2001  7  6    24.8    23.8    23.8 1
-2001  7  7    24.1    23.1    23.1 1
-2001  7  8    23.3    22.3    22.3 1
-2001  7  9    23.6    22.6    22.6 1
-2001  7 10    20.8    19.8    19.8 1
-2001  7 11    19.1    18.1    18.1 1
-2001  7 12    18.2    17.2    17.2 1
-2001  7 13    15.0    14.0    14.0 1
-2001  7 14    16.3    15.3    15.3 1
-2001  7 15    18.0    17.0    17.0 1
-2001  7 16    17.8    16.8    16.8 1
-2001  7 17    14.1    13.1    13.1 1
-2001  7 18    14.8    13.8    13.8 1
-2001  7 19    16.8    15.8    15.8 1
-2001  7 20    18.6    17.6    17.6 1
-2001  7 21    18.1    17.1    17.1 1
-2001  7 22    18.8    17.8    17.8 1
-2001  7 23    20.6    19.6    19.6 1
-2001  7 24    21.5    20.6    20.6 1
-2001  7 25    22.7    21.8    21.8 1
-2001  7 26    22.9    22.0    22.0 1
-2001  7 27    20.4    19.5    19.5 1
-2001  7 28    20.1    19.2    19.2 1
-2001  7 29    22.9    22.0    22.0 1
-2001  7 30    20.8    19.9    19.9 1
-2001  7 31    18.2    17.3    17.3 1
-2001  8  1    18.8    17.9    17.9 1
-2001  8  2    16.3    15.4    15.4 1
-2001  8  3    17.9    17.0    17.0 1
-2001  8  4    17.6    16.7    16.7 1
-2001  8  5    18.2    17.3    17.3 1
-2001  8  6    15.1    14.3    14.3 1
-2001  8  7    14.4    13.6    13.6 1
-2001  8  8    16.9    16.1    16.1 1
-2001  8  9    17.8    17.0    17.0 1
-2001  8 10    17.0    16.2    16.2 1
-2001  8 11    15.5    14.7    14.7 1
-2001  8 12    13.7    12.9    12.9 1
-2001  8 13    16.8    16.0    16.0 1
-2001  8 14    17.8    17.0    17.0 1
-2001  8 15    20.0    19.2    19.2 1
-2001  8 16    20.1    19.3    19.3 1
-2001  8 17    20.3    19.6    19.6 1
-2001  8 18    18.5    17.8    17.8 1
-2001  8 19    18.4    17.7    17.7 1
-2001  8 20    17.2    16.5    16.5 1
-2001  8 21    19.3    18.6    18.6 1
-2001  8 22    18.5    17.8    17.8 1
-2001  8 23    17.8    17.1    17.1 1
-2001  8 24    17.9    17.3    17.3 1
-2001  8 25    18.4    17.8    17.8 1
-2001  8 26    19.5    18.9    18.9 1
-2001  8 27    16.4    15.8    15.8 1
-2001  8 28    14.7    14.1    14.1 1
-2001  8 29    15.7    15.1    15.1 1
-2001  8 30    15.7    15.2    15.2 1
-2001  8 31    16.5    16.0    16.0 1
-2001  9  1    16.9    16.4    16.4 1
-2001  9  2    15.2    14.7    14.7 1
-2001  9  3    15.1    14.6    14.6 1
-2001  9  4    14.2    13.7    13.7 1
-2001  9  5    14.3    13.8    13.8 1
-2001  9  6    15.4    15.0    15.0 1
-2001  9  7    14.3    13.9    13.9 1
-2001  9  8    13.5    13.1    13.1 1
-2001  9  9    13.2    12.8    12.8 1
-2001  9 10    11.2    10.8    10.8 1
-2001  9 11    12.1    11.7    11.7 1
-2001  9 12    13.7    13.4    13.4 1
-2001  9 13    12.5    12.2    12.2 1
-2001  9 14    13.2    12.9    12.9 1
-2001  9 15    14.1    13.8    13.8 1
-2001  9 16    13.8    13.5    13.5 1
-2001  9 17    15.5    15.2    15.2 1
-2001  9 18    15.7    15.4    15.4 1
-2001  9 19    16.1    15.8    15.8 1
-2001  9 20    12.2    11.9    11.9 1
-2001  9 21    13.3    13.0    13.0 1
-2001  9 22    13.7    13.4    13.4 1
-2001  9 23    13.1    12.8    12.8 1
-2001  9 24     8.9     8.6     8.6 1
-2001  9 25     7.1     6.8     6.8 1
-2001  9 26    10.3    10.0    10.0 1
-2001  9 27     9.5     9.2     9.2 1
-2001  9 28     9.4     9.1     9.1 1
-2001  9 29     5.7     5.4     5.4 1
-2001  9 30     6.7     6.4     6.4 1
-2001 10  1    10.8    10.5    10.5 1
-2001 10  2    13.4    13.1    13.1 1
-2001 10  3    13.8    13.5    13.5 1
-2001 10  4    12.3    12.0    12.0 1
-2001 10  5    11.7    11.4    11.4 1
-2001 10  6    10.7    10.4    10.4 1
-2001 10  7    11.7    11.4    11.4 1
-2001 10  8    13.2    12.9    12.9 1
-2001 10  9    12.4    12.1    12.1 1
-2001 10 10    12.2    11.9    11.9 1
-2001 10 11     9.3     9.1     9.1 1
-2001 10 12    11.5    11.3    11.3 1
-2001 10 13    13.6    13.4    13.4 1
-2001 10 14    10.7    10.5    10.5 1
-2001 10 15     9.8     9.6     9.6 1
-2001 10 16    11.7    11.5    11.5 1
-2001 10 17    12.5    12.2    12.2 1
-2001 10 18     9.2     8.9     8.9 1
-2001 10 19     8.8     8.5     8.5 1
-2001 10 20     6.9     6.6     6.6 1
-2001 10 21     8.9     8.6     8.6 1
-2001 10 22     5.9     5.6     5.6 1
-2001 10 23     4.1     3.8     3.8 1
-2001 10 24     6.0     5.7     5.7 1
-2001 10 25     5.6     5.3     5.3 1
-2001 10 26     9.9     9.6     9.6 1
-2001 10 27    10.9    10.6    10.6 1
-2001 10 28     9.0     8.7     8.7 1
-2001 10 29     6.2     5.9     5.9 1
-2001 10 30     9.1     8.7     8.7 1
-2001 10 31     8.7     8.3     8.3 1
-2001 11  1     4.3     3.9     3.9 1
-2001 11  2     3.4     3.0     3.0 1
-2001 11  3     9.8     9.4     9.4 1
-2001 11  4     6.2     5.8     5.8 1
-2001 11  5     2.4     2.0     2.0 1
-2001 11  6     2.6     2.2     2.2 1
-2001 11  7     0.9     0.5     0.5 1
-2001 11  8     1.6     1.2     1.2 1
-2001 11  9    -1.0    -1.4    -1.4 1
-2001 11 10     1.9     1.5     1.5 1
-2001 11 11     7.8     7.4     7.4 1
-2001 11 12     2.6     2.2     2.2 1
-2001 11 13     1.2     0.7     0.7 1
-2001 11 14    -0.7    -1.2    -1.2 1
-2001 11 15     5.3     4.8     4.8 1
-2001 11 16     2.3     1.8     1.8 1
-2001 11 17     4.7     4.2     4.2 1
-2001 11 18     5.2     4.7     4.7 1
-2001 11 19     2.4     1.9     1.9 1
-2001 11 20     4.5     4.0     4.0 1
-2001 11 21     5.6     5.1     5.1 1
-2001 11 22     2.9     2.4     2.4 1
-2001 11 23     0.4    -0.1    -0.1 1
-2001 11 24    -0.2    -0.7    -0.7 1
-2001 11 25     1.1     0.6     0.6 1
-2001 11 26     2.8     2.3     2.3 1
-2001 11 27     3.6     3.1     3.1 1
-2001 11 28     2.8     2.3     2.3 1
-2001 11 29     3.2     2.7     2.7 1
-2001 11 30     3.0     2.5     2.5 1
-2001 12  1     3.2     2.7     2.7 1
-2001 12  2     4.1     3.6     3.6 1
-2001 12  3     3.6     3.1     3.1 1
-2001 12  4     2.4     1.9     1.9 1
-2001 12  5     1.5     0.9     0.9 1
-2001 12  6     3.6     3.0     3.0 1
-2001 12  7     3.7     3.1     3.1 1
-2001 12  8     2.5     1.9     1.9 1
-2001 12  9     2.9     2.3     2.3 1
-2001 12 10     3.1     2.5     2.5 1
-2001 12 11     4.6     4.0     4.0 1
-2001 12 12     3.1     2.5     2.5 1
-2001 12 13     1.8     1.2     1.2 1
-2001 12 14     1.8     1.2     1.2 1
-2001 12 15    -0.8    -1.4    -1.4 1
-2001 12 16    -0.4    -1.0    -1.0 1
-2001 12 17     1.9     1.3     1.3 1
-2001 12 18     2.4     1.8     1.8 1
-2001 12 19    -0.5    -1.1    -1.1 1
-2001 12 20    -7.5    -8.1    -8.1 1
-2001 12 21    -2.4    -3.0    -3.0 1
-2001 12 22   -10.1   -10.7   -10.7 1
-2001 12 23   -13.9   -14.5   -14.5 1
-2001 12 24    -5.6    -6.2    -6.2 1
-2001 12 25    -0.2    -0.9    -0.9 1
-2001 12 26    -6.1    -6.8    -6.8 1
-2001 12 27   -10.3   -11.0   -11.0 1
-2001 12 28    -5.1    -5.8    -5.8 1
-2001 12 29    -3.8    -4.5    -4.5 1
-2001 12 30    -8.1    -8.8    -8.8 1
-2001 12 31   -13.7   -14.4   -14.4 1
-2002  1  1    -9.0    -9.7    -9.7 1
-2002  1  2    -8.4    -9.1    -9.1 1
-2002  1  3    -5.7    -6.4    -6.4 1
-2002  1  4    -2.0    -2.7    -2.7 1
-2002  1  5    -3.9    -4.6    -4.6 1
-2002  1  6    -2.5    -3.2    -3.2 1
-2002  1  7     0.2    -0.5    -0.5 1
-2002  1  8     0.3    -0.4    -0.4 1
-2002  1  9    -1.2    -1.9    -1.9 1
-2002  1 10     2.3     1.6     1.6 1
-2002  1 11     2.8     2.0     2.0 1
-2002  1 12     2.1     1.3     1.3 1
-2002  1 13     3.7     2.9     2.9 1
-2002  1 14     3.4     2.6     2.6 1
-2002  1 15     3.8     3.0     3.0 1
-2002  1 16     1.5     0.7     0.7 1
-2002  1 17     3.2     2.4     2.4 1
-2002  1 18     2.9     2.1     2.1 1
-2002  1 19     2.4     1.6     1.6 1
-2002  1 20     1.0     0.2     0.2 1
-2002  1 21     2.3     1.5     1.5 1
-2002  1 22     1.5     0.7     0.7 1
-2002  1 23    -0.1    -0.9    -0.9 1
-2002  1 24     0.4    -0.4    -0.4 1
-2002  1 25    -4.0    -4.8    -4.8 1
-2002  1 26    -5.0    -5.8    -5.8 1
-2002  1 27    -2.1    -2.9    -2.9 1
-2002  1 28    -0.3    -1.1    -1.1 1
-2002  1 29     1.8     1.0     1.0 1
-2002  1 30    -1.8    -2.6    -2.6 1
-2002  1 31     0.1    -0.7    -0.7 1
-2002  2  1     1.0     0.2     0.2 1
-2002  2  2     6.3     5.5     5.5 1
-2002  2  3     8.1     7.3     7.3 1
-2002  2  4     4.3     3.5     3.5 1
-2002  2  5     3.8     3.0     3.0 1
-2002  2  6     5.7     4.9     4.9 1
-2002  2  7     4.1     3.3     3.3 1
-2002  2  8     3.4     2.6     2.6 1
-2002  2  9     3.3     2.5     2.5 1
-2002  2 10     4.1     3.3     3.3 1
-2002  2 11     2.0     1.2     1.2 1
-2002  2 12     0.8     0.0     0.0 1
-2002  2 13    -0.7    -1.5    -1.5 1
-2002  2 14    -0.6    -1.4    -1.4 1
-2002  2 15     2.4     1.6     1.6 1
-2002  2 16     4.5     3.6     3.6 1
-2002  2 17     5.7     4.8     4.8 1
-2002  2 18     4.2     3.3     3.3 1
-2002  2 19     1.0     0.1     0.1 1
-2002  2 20    -4.1    -5.0    -5.0 1
-2002  2 21    -4.1    -5.0    -5.0 1
-2002  2 22    -0.5    -1.4    -1.4 1
-2002  2 23     1.0     0.1     0.1 1
-2002  2 24    -1.8    -2.7    -2.7 1
-2002  2 25    -2.6    -3.5    -3.5 1
-2002  2 26    -1.1    -2.0    -2.0 1
-2002  2 27     0.3    -0.6    -0.6 1
-2002  2 28    -1.6    -2.5    -2.5 1
-2002  3  1    -3.0    -3.9    -3.9 1
-2002  3  2    -1.6    -2.5    -2.5 1
-2002  3  3    -4.3    -5.2    -5.2 1
-2002  3  4     1.1     0.2     0.2 1
-2002  3  5     4.8     3.9     3.9 1
-2002  3  6     3.7     2.8     2.8 1
-2002  3  7    -0.3    -1.2    -1.2 1
-2002  3  8     1.0     0.1     0.1 1
-2002  3  9     4.7     3.8     3.8 1
-2002  3 10     3.3     2.4     2.4 1
-2002  3 11     4.7     3.8     3.8 1
-2002  3 12     5.0     4.1     4.1 1
-2002  3 13     1.0     0.0     0.0 1
-2002  3 14    -1.2    -2.2    -2.2 1
-2002  3 15     2.0     1.0     1.0 1
-2002  3 16     2.3     1.3     1.3 1
-2002  3 17     3.1     2.2     2.2 1
-2002  3 18     2.8     1.9     1.9 1
-2002  3 19     5.2     4.3     4.3 1
-2002  3 20     3.2     2.3     2.3 1
-2002  3 21     1.0     0.1     0.1 1
-2002  3 22     1.4     0.5     0.5 1
-2002  3 23     0.5    -0.4    -0.4 1
-2002  3 24     0.8    -0.1    -0.1 1
-2002  3 25     1.9     1.0     1.0 1
-2002  3 26     3.5     2.6     2.6 1
-2002  3 27     5.2     4.3     4.3 1
-2002  3 28     6.2     5.3     5.3 1
-2002  3 29     8.4     7.5     7.5 1
-2002  3 30     7.0     6.1     6.1 1
-2002  3 31     5.6     4.7     4.7 1
-2002  4  1     6.6     5.7     5.7 1
-2002  4  2     5.6     4.7     4.7 1
-2002  4  3     7.2     6.3     6.3 1
-2002  4  4     4.0     3.1     3.1 1
-2002  4  5     1.8     0.9     0.9 1
-2002  4  6     2.4     1.6     1.6 1
-2002  4  7     3.6     2.8     2.8 1
-2002  4  8     3.4     2.6     2.6 1
-2002  4  9     4.6     3.8     3.8 1
-2002  4 10     6.8     6.0     6.0 1
-2002  4 11     7.5     6.7     6.7 1
-2002  4 12     8.8     8.0     8.0 1
-2002  4 13    10.1     9.3     9.3 1
-2002  4 14     6.1     5.3     5.3 1
-2002  4 15     4.8     4.0     4.0 1
-2002  4 16     3.2     2.4     2.4 1
-2002  4 17     2.6     1.8     1.8 1
-2002  4 18     5.4     4.5     4.5 1
-2002  4 19     7.5     6.6     6.6 1
-2002  4 20    10.9    10.0    10.0 1
-2002  4 21    12.4    11.5    11.5 1
-2002  4 22    13.1    12.2    12.2 1
-2002  4 23    11.9    10.9    10.9 1
-2002  4 24    13.2    12.2    12.2 1
-2002  4 25    14.9    13.9    13.9 1
-2002  4 26    10.2     9.2     9.2 1
-2002  4 27     9.2     8.2     8.2 1
-2002  4 28     7.0     6.0     6.0 1
-2002  4 29     6.6     5.5     5.5 1
-2002  4 30     9.4     8.3     8.3 1
-2002  5  1     8.4     7.3     7.3 1
-2002  5  2    10.7     9.6     9.6 1
-2002  5  3    10.3     9.2     9.2 1
-2002  5  4     9.3     8.1     8.1 1
-2002  5  5     9.7     8.5     8.5 1
-2002  5  6    10.0     8.8     8.8 1
-2002  5  7    11.4    10.2    10.2 1
-2002  5  8    13.5    12.3    12.3 1
-2002  5  9    12.2    10.9    10.9 1
-2002  5 10    10.9     9.6     9.6 1
-2002  5 11    12.5    11.2    11.2 1
-2002  5 12    15.7    14.4    14.4 1
-2002  5 13    14.8    13.5    13.5 1
-2002  5 14    16.4    15.0    15.0 1
-2002  5 15    14.1    12.7    12.7 1
-2002  5 16    12.6    11.2    11.2 1
-2002  5 17    10.5     9.1     9.1 1
-2002  5 18     9.8     8.5     8.5 1
-2002  5 19     9.8     8.5     8.5 1
-2002  5 20    12.7    11.4    11.4 1
-2002  5 21    14.8    13.5    13.5 1
-2002  5 22    14.6    13.3    13.3 1
-2002  5 23    16.3    15.0    15.0 1
-2002  5 24    15.3    14.0    14.0 1
-2002  5 25    10.0     8.7     8.7 1
-2002  5 26    13.4    12.1    12.1 1
-2002  5 27    11.8    10.5    10.5 1
-2002  5 28    13.9    12.6    12.6 1
-2002  5 29    14.8    13.6    13.6 1
-2002  5 30    16.2    15.0    15.0 1
-2002  5 31    15.2    14.0    14.0 1
-2002  6  1    16.8    15.6    15.6 1
-2002  6  2    18.3    17.1    17.1 1
-2002  6  3    20.0    18.8    18.8 1
-2002  6  4    20.1    18.9    18.9 1
-2002  6  5    19.9    18.7    18.7 1
-2002  6  6    19.5    18.3    18.3 1
-2002  6  7    19.0    17.8    17.8 1
-2002  6  8    20.5    19.3    19.3 1
-2002  6  9    20.8    19.7    19.7 1
-2002  6 10    20.0    18.9    18.9 1
-2002  6 11    19.3    18.2    18.2 1
-2002  6 12    17.0    15.9    15.9 1
-2002  6 13    16.4    15.3    15.3 1
-2002  6 14    13.4    12.3    12.3 1
-2002  6 15    17.1    16.0    16.0 1
-2002  6 16    15.7    14.6    14.6 1
-2002  6 17    18.6    17.5    17.5 1
-2002  6 18    22.7    21.6    21.6 1
-2002  6 19    21.4    20.3    20.3 1
-2002  6 20    19.2    18.1    18.1 1
-2002  6 21    13.9    12.8    12.8 1
-2002  6 22    15.6    14.5    14.5 1
-2002  6 23    13.9    12.8    12.8 1
-2002  6 24    16.0    14.9    14.9 1
-2002  6 25    16.1    15.0    15.0 1
-2002  6 26    15.9    14.8    14.8 1
-2002  6 27    14.2    13.1    13.1 1
-2002  6 28    14.0    12.9    12.9 1
-2002  6 29    14.4    13.3    13.3 1
-2002  6 30    16.3    15.3    15.3 1
-2002  7  1    14.6    13.6    13.6 1
-2002  7  2    15.1    14.1    14.1 1
-2002  7  3    16.0    15.0    15.0 1
-2002  7  4    14.7    13.7    13.7 1
-2002  7  5    17.4    16.4    16.4 1
-2002  7  6    15.9    14.9    14.9 1
-2002  7  7    17.2    16.2    16.2 1
-2002  7  8    17.8    16.8    16.8 1
-2002  7  9    19.4    18.4    18.4 1
-2002  7 10    21.8    20.8    20.8 1
-2002  7 11    20.7    19.7    19.7 1
-2002  7 12    18.9    17.9    17.9 1
-2002  7 13    20.4    19.4    19.4 1
-2002  7 14    21.6    20.6    20.6 1
-2002  7 15    22.4    21.4    21.4 1
-2002  7 16    23.6    22.6    22.6 1
-2002  7 17    24.0    23.0    23.0 1
-2002  7 18    22.3    21.3    21.3 1
-2002  7 19    19.9    18.9    18.9 1
-2002  7 20    20.7    19.7    19.7 1
-2002  7 21    19.2    18.2    18.2 1
-2002  7 22    19.6    18.6    18.6 1
-2002  7 23    17.2    16.2    16.2 1
-2002  7 24    16.9    16.0    16.0 1
-2002  7 25    16.8    15.9    15.9 1
-2002  7 26    17.1    16.2    16.2 1
-2002  7 27    18.9    18.0    18.0 1
-2002  7 28    21.0    20.1    20.1 1
-2002  7 29    22.3    21.4    21.4 1
-2002  7 30    21.3    20.4    20.4 1
-2002  7 31    20.8    19.9    19.9 1
-2002  8  1    21.5    20.6    20.6 1
-2002  8  2    20.0    19.1    19.1 1
-2002  8  3    19.7    18.8    18.8 1
-2002  8  4    20.1    19.2    19.2 1
-2002  8  5    18.8    17.9    17.9 1
-2002  8  6    17.4    16.6    16.6 1
-2002  8  7    19.2    18.4    18.4 1
-2002  8  8    21.1    20.3    20.3 1
-2002  8  9    20.8    20.0    20.0 1
-2002  8 10    20.9    20.1    20.1 1
-2002  8 11    22.1    21.3    21.3 1
-2002  8 12    22.7    21.9    21.9 1
-2002  8 13    23.0    22.2    22.2 1
-2002  8 14    23.6    22.8    22.8 1
-2002  8 15    24.5    23.7    23.7 1
-2002  8 16    23.2    22.4    22.4 1
-2002  8 17    21.2    20.5    20.5 1
-2002  8 18    20.6    19.9    19.9 1
-2002  8 19    21.2    20.5    20.5 1
-2002  8 20    22.3    21.6    21.6 1
-2002  8 21    22.7    22.0    22.0 1
-2002  8 22    23.2    22.5    22.5 1
-2002  8 23    23.1    22.4    22.4 1
-2002  8 24    21.7    21.1    21.1 1
-2002  8 25    21.1    20.5    20.5 1
-2002  8 26    21.7    21.1    21.1 1
-2002  8 27    20.9    20.3    20.3 1
-2002  8 28    20.8    20.2    20.2 1
-2002  8 29    21.4    20.8    20.8 1
-2002  8 30    19.8    19.3    19.3 1
-2002  8 31    20.0    19.5    19.5 1
-2002  9  1    16.9    16.4    16.4 1
-2002  9  2    18.2    17.7    17.7 1
-2002  9  3    19.1    18.6    18.6 1
-2002  9  4    20.0    19.5    19.5 1
-2002  9  5    21.0    20.5    20.5 1
-2002  9  6    18.2    17.8    17.8 1
-2002  9  7    19.5    19.1    19.1 1
-2002  9  8    19.4    19.0    19.0 1
-2002  9  9    20.8    20.4    20.4 1
-2002  9 10    16.2    15.8    15.8 1
-2002  9 11    16.0    15.6    15.6 1
-2002  9 12    17.9    17.6    17.6 1
-2002  9 13    17.9    17.6    17.6 1
-2002  9 14    13.1    12.8    12.8 1
-2002  9 15     9.4     9.1     9.1 1
-2002  9 16    11.2    10.9    10.9 1
-2002  9 17    13.1    12.8    12.8 1
-2002  9 18    10.9    10.6    10.6 1
-2002  9 19    10.5    10.2    10.2 1
-2002  9 20     8.7     8.4     8.4 1
-2002  9 21     7.3     7.0     7.0 1
-2002  9 22     7.3     7.0     7.0 1
-2002  9 23     6.9     6.6     6.6 1
-2002  9 24    10.5    10.2    10.2 1
-2002  9 25     8.8     8.5     8.5 1
-2002  9 26     6.2     5.9     5.9 1
-2002  9 27     6.8     6.5     6.5 1
-2002  9 28     9.3     9.0     9.0 1
-2002  9 29    12.3    12.0    12.0 1
-2002  9 30    13.3    13.0    13.0 1
-2002 10  1     8.8     8.5     8.5 1
-2002 10  2     8.6     8.3     8.3 1
-2002 10  3     7.9     7.6     7.6 1
-2002 10  4     7.6     7.3     7.3 1
-2002 10  5     5.5     5.2     5.2 1
-2002 10  6     3.7     3.4     3.4 1
-2002 10  7     3.2     2.9     2.9 1
-2002 10  8     4.3     4.0     4.0 1
-2002 10  9     3.7     3.4     3.4 1
-2002 10 10     2.0     1.7     1.7 1
-2002 10 11     2.8     2.6     2.6 1
-2002 10 12     3.2     3.0     3.0 1
-2002 10 13     4.1     3.9     3.9 1
-2002 10 14     3.5     3.3     3.3 1
-2002 10 15     3.7     3.5     3.5 1
-2002 10 16     2.5     2.3     2.3 1
-2002 10 17     2.2     1.9     1.9 1
-2002 10 18    -0.2    -0.5    -0.5 1
-2002 10 19    -1.6    -1.9    -1.9 1
-2002 10 20     0.8     0.5     0.5 1
-2002 10 21     1.7     1.4     1.4 1
-2002 10 22     3.3     3.0     3.0 1
-2002 10 23     4.4     4.1     4.1 1
-2002 10 24     6.6     6.3     6.3 1
-2002 10 25     6.4     6.1     6.1 1
-2002 10 26     7.6     7.3     7.3 1
-2002 10 27     6.2     5.9     5.9 1
-2002 10 28     3.8     3.5     3.5 1
-2002 10 29     2.8     2.5     2.5 1
-2002 10 30     2.7     2.3     2.3 1
-2002 10 31     2.8     2.4     2.4 1
-2002 11  1     2.0     1.6     1.6 1
-2002 11  2    -0.2    -0.6    -0.6 1
-2002 11  3    -0.7    -1.1    -1.1 1
-2002 11  4     0.9     0.5     0.5 1
-2002 11  5    -1.0    -1.4    -1.4 1
-2002 11  6     3.0     2.6     2.6 1
-2002 11  7     3.0     2.6     2.6 1
-2002 11  8     2.6     2.2     2.2 1
-2002 11  9     1.1     0.7     0.7 1
-2002 11 10    -1.6    -2.0    -2.0 1
-2002 11 11    -5.2    -5.6    -5.6 1
-2002 11 12    -6.2    -6.6    -6.6 1
-2002 11 13     0.3    -0.2    -0.2 1
-2002 11 14     2.7     2.2     2.2 1
-2002 11 15     4.7     4.2     4.2 1
-2002 11 16     3.8     3.3     3.3 1
-2002 11 17     2.6     2.1     2.1 1
-2002 11 18     3.6     3.1     3.1 1
-2002 11 19    -0.4    -0.9    -0.9 1
-2002 11 20     0.3    -0.2    -0.2 1
-2002 11 21     0.0    -0.5    -0.5 1
-2002 11 22    -0.5    -1.0    -1.0 1
-2002 11 23     0.5     0.0     0.0 1
-2002 11 24     2.2     1.7     1.7 1
-2002 11 25     5.4     4.9     4.9 1
-2002 11 26     5.3     4.8     4.8 1
-2002 11 27     2.3     1.8     1.8 1
-2002 11 28     1.4     0.9     0.9 1
-2002 11 29    -0.6    -1.1    -1.1 1
-2002 11 30    -1.2    -1.7    -1.7 1
-2002 12  1    -1.2    -1.7    -1.7 1
-2002 12  2     0.7     0.2     0.2 1
-2002 12  3     1.1     0.6     0.6 1
-2002 12  4    -0.5    -1.0    -1.0 1
-2002 12  5    -0.7    -1.3    -1.3 1
-2002 12  6    -1.2    -1.8    -1.8 1
-2002 12  7    -2.5    -3.1    -3.1 1
-2002 12  8    -5.0    -5.6    -5.6 1
-2002 12  9    -5.8    -6.4    -6.4 1
-2002 12 10    -2.5    -3.1    -3.1 1
-2002 12 11    -2.8    -3.4    -3.4 1
-2002 12 12    -2.6    -3.2    -3.2 1
-2002 12 13     0.5    -0.1    -0.1 1
-2002 12 14    -0.5    -1.1    -1.1 1
-2002 12 15     0.2    -0.4    -0.4 1
-2002 12 16    -1.4    -2.0    -2.0 1
-2002 12 17    -2.8    -3.4    -3.4 1
-2002 12 18    -3.4    -4.0    -4.0 1
-2002 12 19    -1.9    -2.5    -2.5 1
-2002 12 20     1.6     1.0     1.0 1
-2002 12 21    -4.0    -4.6    -4.6 1
-2002 12 22    -8.5    -9.1    -9.1 1
-2002 12 23    -9.2    -9.8    -9.8 1
-2002 12 24   -10.2   -10.8   -10.8 1
-2002 12 25    -3.8    -4.5    -4.5 1
-2002 12 26    -3.3    -4.0    -4.0 1
-2002 12 27    -2.4    -3.1    -3.1 1
-2002 12 28    -2.7    -3.4    -3.4 1
-2002 12 29    -6.4    -7.1    -7.1 1
-2002 12 30   -10.3   -11.0   -11.0 1
-2002 12 31   -14.6   -15.3   -15.3 1
-2003  1  1    -6.7    -7.4    -7.4 1
-2003  1  2    -9.2    -9.9    -9.9 1
-2003  1  3   -14.6   -15.3   -15.3 1
-2003  1  4   -14.7   -15.4   -15.4 1
-2003  1  5   -17.0   -17.7   -17.7 1
-2003  1  6   -14.8   -15.5   -15.5 1
-2003  1  7    -8.1    -8.8    -8.8 1
-2003  1  8    -4.8    -5.5    -5.5 1
-2003  1  9    -2.2    -2.9    -2.9 1
-2003  1 10    -9.3   -10.0   -10.0 1
-2003  1 11    -5.7    -6.5    -6.5 1
-2003  1 12    -0.1    -0.9    -0.9 1
-2003  1 13     0.1    -0.7    -0.7 1
-2003  1 14     2.4     1.6     1.6 1
-2003  1 15     5.0     4.2     4.2 1
-2003  1 16     3.7     2.9     2.9 1
-2003  1 17     5.0     4.2     4.2 1
-2003  1 18     4.0     3.2     3.2 1
-2003  1 19     3.0     2.2     2.2 1
-2003  1 20     1.8     1.0     1.0 1
-2003  1 21     2.6     1.8     1.8 1
-2003  1 22     2.1     1.3     1.3 1
-2003  1 23     1.2     0.4     0.4 1
-2003  1 24    -3.1    -3.9    -3.9 1
-2003  1 25     3.5     2.7     2.7 1
-2003  1 26     3.6     2.8     2.8 1
-2003  1 27     0.8     0.0     0.0 1
-2003  1 28     0.1    -0.7    -0.7 1
-2003  1 29    -5.1    -5.9    -5.9 1
-2003  1 30    -7.7    -8.5    -8.5 1
-2003  1 31   -11.6   -12.4   -12.4 1
-2003  2  1    -8.1    -8.9    -8.9 1
-2003  2  2    -2.6    -3.4    -3.4 1
-2003  2  3    -1.6    -2.4    -2.4 1
-2003  2  4    -1.5    -2.3    -2.3 1
-2003  2  5    -7.0    -7.8    -7.8 1
-2003  2  6   -10.0   -10.8   -10.8 1
-2003  2  7   -10.9   -11.7   -11.7 1
-2003  2  8    -3.0    -3.8    -3.8 1
-2003  2  9    -1.4    -2.2    -2.2 1
-2003  2 10    -3.2    -4.0    -4.0 1
-2003  2 11    -3.2    -4.0    -4.0 1
-2003  2 12    -0.5    -1.3    -1.3 1
-2003  2 13    -0.2    -1.0    -1.0 1
-2003  2 14    -0.8    -1.6    -1.6 1
-2003  2 15    -3.0    -3.8    -3.8 1
-2003  2 16    -5.4    -6.3    -6.3 1
-2003  2 17    -3.2    -4.1    -4.1 1
-2003  2 18    -1.0    -1.9    -1.9 1
-2003  2 19     1.6     0.7     0.7 1
-2003  2 20    -0.1    -1.0    -1.0 1
-2003  2 21    -0.3    -1.2    -1.2 1
-2003  2 22    -1.5    -2.4    -2.4 1
-2003  2 23    -1.4    -2.3    -2.3 1
-2003  2 24    -2.1    -3.0    -3.0 1
-2003  2 25    -4.1    -5.0    -5.0 1
-2003  2 26    -4.8    -5.7    -5.7 1
-2003  2 27    -4.0    -4.9    -4.9 1
-2003  2 28    -5.2    -6.1    -6.1 1
-2003  3  1    -4.9    -5.8    -5.8 1
-2003  3  2    -4.1    -5.0    -5.0 1
-2003  3  3    -3.1    -4.0    -4.0 1
-2003  3  4    -2.9    -3.8    -3.8 1
-2003  3  5    -0.6    -1.5    -1.5 1
-2003  3  6    -0.2    -1.1    -1.1 1
-2003  3  7     0.5    -0.4    -0.4 1
-2003  3  8     0.8    -0.1    -0.1 1
-2003  3  9     2.3     1.4     1.4 1
-2003  3 10     5.0     4.1     4.1 1
-2003  3 11     5.9     5.0     5.0 1
-2003  3 12     2.6     1.7     1.7 1
-2003  3 13     3.4     2.4     2.4 1
-2003  3 14     7.1     6.1     6.1 1
-2003  3 15     6.1     5.1     5.1 1
-2003  3 16     5.4     4.4     4.4 1
-2003  3 17     6.3     5.4     5.4 1
-2003  3 18     6.3     5.4     5.4 1
-2003  3 19     6.2     5.3     5.3 1
-2003  3 20    -1.8    -2.7    -2.7 1
-2003  3 21    -0.6    -1.5    -1.5 1
-2003  3 22     4.0     3.1     3.1 1
-2003  3 23     6.0     5.1     5.1 1
-2003  3 24     6.8     5.9     5.9 1
-2003  3 25     6.3     5.4     5.4 1
-2003  3 26     6.4     5.5     5.5 1
-2003  3 27     8.8     7.9     7.9 1
-2003  3 28     6.5     5.6     5.6 1
-2003  3 29     8.0     7.1     7.1 1
-2003  3 30     6.6     5.7     5.7 1
-2003  3 31     1.0     0.1     0.1 1
-2003  4  1     1.2     0.3     0.3 1
-2003  4  2     1.5     0.6     0.6 1
-2003  4  3     0.8    -0.1    -0.1 1
-2003  4  4     3.3     2.4     2.4 1
-2003  4  5     0.8    -0.1    -0.1 1
-2003  4  6    -1.4    -2.2    -2.2 1
-2003  4  7    -1.1    -1.9    -1.9 1
-2003  4  8    -1.6    -2.4    -2.4 1
-2003  4  9     0.8     0.0     0.0 1
-2003  4 10     0.6    -0.2    -0.2 1
-2003  4 11     0.9     0.1     0.1 1
-2003  4 12     2.2     1.4     1.4 1
-2003  4 13     5.3     4.5     4.5 1
-2003  4 14     6.6     5.8     5.8 1
-2003  4 15     8.0     7.2     7.2 1
-2003  4 16    11.3    10.5    10.5 1
-2003  4 17     7.9     7.1     7.1 1
-2003  4 18     5.6     4.7     4.7 1
-2003  4 19     6.2     5.3     5.3 1
-2003  4 20     9.4     8.5     8.5 1
-2003  4 21    12.4    11.5    11.5 1
-2003  4 22    13.6    12.7    12.7 1
-2003  4 23     7.6     6.6     6.6 1
-2003  4 24     4.5     3.5     3.5 1
-2003  4 25     3.8     2.8     2.8 1
-2003  4 26     4.8     3.8     3.8 1
-2003  4 27     3.7     2.7     2.7 1
-2003  4 28     3.6     2.6     2.6 1
-2003  4 29     3.6     2.5     2.5 1
-2003  4 30    11.8    10.7    10.7 1
-2003  5  1     6.2     5.1     5.1 1
-2003  5  2     6.4     5.3     5.3 1
-2003  5  3     4.6     3.5     3.5 1
-2003  5  4     3.6     2.4     2.4 1
-2003  5  5     7.5     6.3     6.3 1
-2003  5  6     9.4     8.2     8.2 1
-2003  5  7    11.6    10.4    10.4 1
-2003  5  8    11.0     9.8     9.8 1
-2003  5  9    12.9    11.6    11.6 1
-2003  5 10    11.7    10.4    10.4 1
-2003  5 11    12.3    11.0    11.0 1
-2003  5 12    10.4     9.1     9.1 1
-2003  5 13    11.8    10.5    10.5 1
-2003  5 14    10.9     9.5     9.5 1
-2003  5 15    10.3     8.9     8.9 1
-2003  5 16    10.4     9.0     9.0 1
-2003  5 17    11.6    10.2    10.2 1
-2003  5 18    13.1    11.8    11.8 1
-2003  5 19    13.6    12.3    12.3 1
-2003  5 20    12.4    11.1    11.1 1
-2003  5 21    12.4    11.1    11.1 1
-2003  5 22    12.6    11.3    11.3 1
-2003  5 23    11.7    10.4    10.4 1
-2003  5 24    13.7    12.4    12.4 1
-2003  5 25    16.1    14.8    14.8 1
-2003  5 26    17.7    16.4    16.4 1
-2003  5 27    14.8    13.5    13.5 1
-2003  5 28    14.3    13.0    13.0 1
-2003  5 29    15.5    14.3    14.3 1
-2003  5 30    16.8    15.6    15.6 1
-2003  5 31    12.4    11.2    11.2 1
-2003  6  1    12.5    11.3    11.3 1
-2003  6  2    16.7    15.5    15.5 1
-2003  6  3    17.9    16.7    16.7 1
-2003  6  4    19.9    18.7    18.7 1
-2003  6  5    21.3    20.1    20.1 1
-2003  6  6    19.3    18.1    18.1 1
-2003  6  7    18.1    16.9    16.9 1
-2003  6  8    18.6    17.4    17.4 1
-2003  6  9    15.7    14.6    14.6 1
-2003  6 10    15.7    14.6    14.6 1
-2003  6 11    12.8    11.7    11.7 1
-2003  6 12    16.9    15.8    15.8 1
-2003  6 13    14.3    13.2    13.2 1
-2003  6 14    13.3    12.2    12.2 1
-2003  6 15    14.0    12.9    12.9 1
-2003  6 16    12.9    11.8    11.8 1
-2003  6 17    15.3    14.2    14.2 1
-2003  6 18    17.0    15.9    15.9 1
-2003  6 19    13.7    12.6    12.6 1
-2003  6 20    12.8    11.7    11.7 1
-2003  6 21    14.2    13.1    13.1 1
-2003  6 22    15.3    14.2    14.2 1
-2003  6 23    17.3    16.2    16.2 1
-2003  6 24    13.8    12.7    12.7 1
-2003  6 25    17.8    16.7    16.7 1
-2003  6 26    20.0    18.9    18.9 1
-2003  6 27    18.9    17.8    17.8 1
-2003  6 28    17.8    16.7    16.7 1
-2003  6 29    14.0    12.9    12.9 1
-2003  6 30    15.6    14.6    14.6 1
-2003  7  1    14.4    13.4    13.4 1
-2003  7  2    16.0    15.0    15.0 1
-2003  7  3    15.0    14.0    14.0 1
-2003  7  4    17.6    16.6    16.6 1
-2003  7  5    17.2    16.2    16.2 1
-2003  7  6    18.9    17.9    17.9 1
-2003  7  7    19.4    18.4    18.4 1
-2003  7  8    19.8    18.8    18.8 1
-2003  7  9    19.3    18.3    18.3 1
-2003  7 10    17.3    16.3    16.3 1
-2003  7 11    20.4    19.4    19.4 1
-2003  7 12    17.6    16.6    16.6 1
-2003  7 13    19.8    18.8    18.8 1
-2003  7 14    22.2    21.2    21.2 1
-2003  7 15    22.6    21.6    21.6 1
-2003  7 16    24.6    23.6    23.6 1
-2003  7 17    24.0    23.0    23.0 1
-2003  7 18    24.5    23.5    23.5 1
-2003  7 19    24.0    23.0    23.0 1
-2003  7 20    23.9    22.9    22.9 1
-2003  7 21    23.7    22.7    22.7 1
-2003  7 22    20.5    19.5    19.5 1
-2003  7 23    21.4    20.4    20.4 1
-2003  7 24    21.5    20.6    20.6 1
-2003  7 25    20.9    20.0    20.0 1
-2003  7 26    22.1    21.2    21.2 1
-2003  7 27    21.8    20.9    20.9 1
-2003  7 28    22.3    21.4    21.4 1
-2003  7 29    19.9    19.0    19.0 1
-2003  7 30    22.9    22.0    22.0 1
-2003  7 31    24.6    23.7    23.7 1
-2003  8  1    25.3    24.4    24.4 1
-2003  8  2    23.0    22.1    22.1 1
-2003  8  3    22.0    21.1    21.1 1
-2003  8  4    20.8    19.9    19.9 1
-2003  8  5    19.3    18.4    18.4 1
-2003  8  6    19.9    19.1    19.1 1
-2003  8  7    21.2    20.4    20.4 1
-2003  8  8    20.0    19.2    19.2 1
-2003  8  9    18.0    17.2    17.2 1
-2003  8 10    17.9    17.1    17.1 1
-2003  8 11    19.2    18.4    18.4 1
-2003  8 12    21.6    20.8    20.8 1
-2003  8 13    18.8    18.0    18.0 1
-2003  8 14    17.7    16.9    16.9 1
-2003  8 15    14.4    13.6    13.6 1
-2003  8 16    15.8    15.0    15.0 1
-2003  8 17    17.3    16.6    16.6 1
-2003  8 18    20.0    19.3    19.3 1
-2003  8 19    17.3    16.6    16.6 1
-2003  8 20    18.4    17.7    17.7 1
-2003  8 21    17.8    17.1    17.1 1
-2003  8 22    16.8    16.1    16.1 1
-2003  8 23    17.2    16.5    16.5 1
-2003  8 24    17.1    16.5    16.5 1
-2003  8 25    15.4    14.8    14.8 1
-2003  8 26    13.8    13.2    13.2 1
-2003  8 27    11.6    11.0    11.0 1
-2003  8 28    12.4    11.8    11.8 1
-2003  8 29    13.4    12.8    12.8 1
-2003  8 30    12.7    12.2    12.2 1
-2003  8 31    11.5    11.0    11.0 1
-2003  9  1     9.7     9.2     9.2 1
-2003  9  2     9.7     9.2     9.2 1
-2003  9  3    13.7    13.2    13.2 1
-2003  9  4    15.6    15.1    15.1 1
-2003  9  5    16.6    16.1    16.1 1
-2003  9  6    17.4    17.0    17.0 1
-2003  9  7    16.6    16.2    16.2 1
-2003  9  8    16.3    15.9    15.9 1
-2003  9  9    16.5    16.1    16.1 1
-2003  9 10    14.8    14.4    14.4 1
-2003  9 11    13.8    13.4    13.4 1
-2003  9 12    13.5    13.2    13.2 1
-2003  9 13    16.1    15.8    15.8 1
-2003  9 14    16.3    16.0    16.0 1
-2003  9 15    16.3    16.0    16.0 1
-2003  9 16    17.0    16.7    16.7 1
-2003  9 17    13.3    13.0    13.0 1
-2003  9 18    17.9    17.6    17.6 1
-2003  9 19    15.6    15.3    15.3 1
-2003  9 20     9.8     9.5     9.5 1
-2003  9 21    13.9    13.6    13.6 1
-2003  9 22    15.6    15.3    15.3 1
-2003  9 23    13.6    13.3    13.3 1
-2003  9 24     8.6     8.3     8.3 1
-2003  9 25    12.8    12.5    12.5 1
-2003  9 26    14.0    13.7    13.7 1
-2003  9 27    11.5    11.2    11.2 1
-2003  9 28     6.1     5.8     5.8 1
-2003  9 29     8.2     7.9     7.9 1
-2003  9 30     7.3     7.0     7.0 1
-2003 10  1     9.3     9.0     9.0 1
-2003 10  2    10.3    10.0    10.0 1
-2003 10  3    10.3    10.0    10.0 1
-2003 10  4    10.7    10.4    10.4 1
-2003 10  5     9.5     9.2     9.2 1
-2003 10  6     8.1     7.8     7.8 1
-2003 10  7     6.9     6.6     6.6 1
-2003 10  8     6.2     5.9     5.9 1
-2003 10  9     8.1     7.8     7.8 1
-2003 10 10     8.7     8.4     8.4 1
-2003 10 11     7.7     7.5     7.5 1
-2003 10 12     6.9     6.7     6.7 1
-2003 10 13     5.3     5.1     5.1 1
-2003 10 14     6.0     5.8     5.8 1
-2003 10 15     5.1     4.9     4.9 1
-2003 10 16     4.9     4.7     4.7 1
-2003 10 17     5.1     4.8     4.8 1
-2003 10 18     3.9     3.6     3.6 1
-2003 10 19     1.0     0.7     0.7 1
-2003 10 20     1.0     0.7     0.7 1
-2003 10 21     1.2     0.9     0.9 1
-2003 10 22    -1.5    -1.8    -1.8 1
-2003 10 23    -2.3    -2.6    -2.6 1
-2003 10 24     0.0    -0.3    -0.3 1
-2003 10 25     0.6     0.3     0.3 1
-2003 10 26    -0.9    -1.2    -1.2 1
-2003 10 27     1.0     0.7     0.7 1
-2003 10 28     8.5     8.2     8.2 1
-2003 10 29     7.1     6.8     6.8 1
-2003 10 30     6.2     5.8     5.8 1
-2003 10 31     5.5     5.1     5.1 1
-2003 11  1     6.8     6.4     6.4 1
-2003 11  2     7.8     7.4     7.4 1
-2003 11  3     7.9     7.5     7.5 1
-2003 11  4     8.3     7.9     7.9 1
-2003 11  5     6.3     5.9     5.9 1
-2003 11  6     8.0     7.6     7.6 1
-2003 11  7     4.8     4.4     4.4 1
-2003 11  8     2.5     2.1     2.1 1
-2003 11  9     3.1     2.7     2.7 1
-2003 11 10     5.5     5.1     5.1 1
-2003 11 11     4.6     4.2     4.2 1
-2003 11 12     3.3     2.9     2.9 1
-2003 11 13     3.3     2.8     2.8 1
-2003 11 14     4.0     3.5     3.5 1
-2003 11 15     5.1     4.6     4.6 1
-2003 11 16     6.8     6.3     6.3 1
-2003 11 17     4.5     4.0     4.0 1
-2003 11 18     0.8     0.3     0.3 1
-2003 11 19     4.4     3.9     3.9 1
-2003 11 20     1.9     1.4     1.4 1
-2003 11 21     2.4     1.9     1.9 1
-2003 11 22     3.4     2.9     2.9 1
-2003 11 23     2.4     1.9     1.9 1
-2003 11 24    -0.5    -1.0    -1.0 1
-2003 11 25     1.1     0.6     0.6 1
-2003 11 26     5.1     4.6     4.6 1
-2003 11 27     7.0     6.5     6.5 1
-2003 11 28     6.8     6.3     6.3 1
-2003 11 29     3.9     3.4     3.4 1
-2003 11 30     5.9     5.4     5.4 1
-2003 12  1     6.9     6.4     6.4 1
-2003 12  2     6.3     5.8     5.8 1
-2003 12  3     5.5     5.0     5.0 1
-2003 12  4     5.3     4.8     4.8 1
-2003 12  5     3.3     2.7     2.7 1
-2003 12  6    -1.1    -1.7    -1.7 1
-2003 12  7    -0.2    -0.8    -0.8 1
-2003 12  8     3.9     3.3     3.3 1
-2003 12  9     1.9     1.3     1.3 1
-2003 12 10     2.7     2.1     2.1 1
-2003 12 11     2.9     2.3     2.3 1
-2003 12 12    -0.4    -1.0    -1.0 1
-2003 12 13     0.2    -0.4    -0.4 1
-2003 12 14     2.4     1.8     1.8 1
-2003 12 15    -0.7    -1.3    -1.3 1
-2003 12 16    -2.5    -3.1    -3.1 1
-2003 12 17     1.8     1.2     1.2 1
-2003 12 18     5.3     4.7     4.7 1
-2003 12 19     5.5     4.9     4.9 1
-2003 12 20     1.2     0.6     0.6 1
-2003 12 21     0.3    -0.3    -0.3 1
-2003 12 22    -5.4    -6.0    -6.0 1
-2003 12 23    -7.9    -8.5    -8.5 1
-2003 12 24    -0.5    -1.1    -1.1 1
-2003 12 25     5.6     4.9     4.9 1
-2003 12 26     4.7     4.0     4.0 1
-2003 12 27     5.2     4.5     4.5 1
-2003 12 28     3.9     3.2     3.2 1
-2003 12 29     0.1    -0.6    -0.6 1
-2003 12 30    -3.4    -4.1    -4.1 1
-2003 12 31    -4.9    -5.6    -5.6 1
-2004  1  1    -3.4    -4.1    -4.1 1
-2004  1  2    -7.7    -8.4    -8.4 1
-2004  1  3    -7.2    -7.9    -7.9 1
-2004  1  4    -3.5    -4.2    -4.2 1
-2004  1  5    -4.2    -4.9    -4.9 1
-2004  1  6    -2.7    -3.4    -3.4 1
-2004  1  7     0.7     0.0     0.0 1
-2004  1  8     1.2     0.5     0.5 1
-2004  1  9     0.5    -0.2    -0.2 1
-2004  1 10    -1.7    -2.4    -2.4 1
-2004  1 11    -1.6    -2.4    -2.4 1
-2004  1 12     0.3    -0.5    -0.5 1
-2004  1 13     2.6     1.8     1.8 1
-2004  1 14     0.9     0.1     0.1 1
-2004  1 15     0.3    -0.5    -0.5 1
-2004  1 16    -1.9    -2.7    -2.7 1
-2004  1 17    -4.4    -5.2    -5.2 1
-2004  1 18    -3.4    -4.2    -4.2 1
-2004  1 19    -0.1    -0.9    -0.9 1
-2004  1 20    -4.8    -5.6    -5.6 1
-2004  1 21   -11.1   -11.9   -11.9 1
-2004  1 22   -10.7   -11.5   -11.5 1
-2004  1 23    -4.4    -5.2    -5.2 1
-2004  1 24    -1.2    -2.0    -2.0 1
-2004  1 25    -1.9    -2.7    -2.7 1
-2004  1 26    -5.0    -5.8    -5.8 1
-2004  1 27    -4.6    -5.4    -5.4 1
-2004  1 28    -2.3    -3.1    -3.1 1
-2004  1 29    -2.0    -2.8    -2.8 1
-2004  1 30    -2.7    -3.5    -3.5 1
-2004  1 31     0.3    -0.5    -0.5 1
-2004  2  1    -2.2    -3.0    -3.0 1
-2004  2  2    -1.7    -2.5    -2.5 1
-2004  2  3     2.0     1.2     1.2 1
-2004  2  4     6.1     5.3     5.3 1
-2004  2  5     4.1     3.3     3.3 1
-2004  2  6     3.7     2.9     2.9 1
-2004  2  7    -1.4    -2.2    -2.2 1
-2004  2  8    -1.4    -2.2    -2.2 1
-2004  2  9    -5.4    -6.2    -6.2 1
-2004  2 10    -5.4    -6.2    -6.2 1
-2004  2 11    -8.7    -9.5    -9.5 1
-2004  2 12    -7.0    -7.8    -7.8 1
-2004  2 13     1.2     0.4     0.4 1
-2004  2 14     2.3     1.5     1.5 1
-2004  2 15     2.1     1.3     1.3 1
-2004  2 16     0.9     0.0     0.0 1
-2004  2 17     0.9     0.0     0.0 1
-2004  2 18    -1.5    -2.4    -2.4 1
-2004  2 19    -1.8    -2.7    -2.7 1
-2004  2 20     1.1     0.2     0.2 1
-2004  2 21     1.3     0.4     0.4 1
-2004  2 22    -0.6    -1.5    -1.5 1
-2004  2 23    -2.1    -3.0    -3.0 1
-2004  2 24    -2.5    -3.4    -3.4 1
-2004  2 25    -0.1    -1.0    -1.0 1
-2004  2 26    -0.5    -1.4    -1.4 1
-2004  2 27    -0.7    -1.6    -1.6 1
-2004  2 28    -0.6    -1.5    -1.5 1
-2004  2 29    -2.6    -3.5    -3.5 1
-2004  3  1     1.6     0.7     0.7 1
-2004  3  2     0.7    -0.2    -0.2 1
-2004  3  3    -2.6    -3.5    -3.5 1
-2004  3  4    -3.3    -4.2    -4.2 1
-2004  3  5    -4.0    -4.9    -4.9 1
-2004  3  6    -1.4    -2.3    -2.3 1
-2004  3  7     0.7    -0.2    -0.2 1
-2004  3  8     0.0    -0.9    -0.9 1
-2004  3  9     0.2    -0.7    -0.7 1
-2004  3 10    -0.1    -1.0    -1.0 1
-2004  3 11     0.0    -0.9    -0.9 1
-2004  3 12     0.2    -0.7    -0.7 1
-2004  3 13     0.4    -0.6    -0.6 1
-2004  3 14     2.4     1.4     1.4 1
-2004  3 15     4.5     3.5     3.5 1
-2004  3 16     6.2     5.2     5.2 1
-2004  3 17     7.3     6.4     6.4 1
-2004  3 18     7.0     6.1     6.1 1
-2004  3 19     4.4     3.5     3.5 1
-2004  3 20     3.4     2.5     2.5 1
-2004  3 21     2.0     1.1     1.1 1
-2004  3 22     2.1     1.2     1.2 1
-2004  3 23    -0.2    -1.1    -1.1 1
-2004  3 24    -0.6    -1.5    -1.5 1
-2004  3 25    -0.1    -1.0    -1.0 1
-2004  3 26     0.5    -0.4    -0.4 1
-2004  3 27     2.0     1.1     1.1 1
-2004  3 28     4.2     3.3     3.3 1
-2004  3 29     5.3     4.4     4.4 1
-2004  3 30     8.3     7.4     7.4 1
-2004  3 31     6.4     5.5     5.5 1
-2004  4  1     0.9     0.0     0.0 1
-2004  4  2     0.9     0.0     0.0 1
-2004  4  3     2.7     1.8     1.8 1
-2004  4  4     3.7     2.8     2.8 1
-2004  4  5     6.1     5.2     5.2 1
-2004  4  6     5.7     4.9     4.9 1
-2004  4  7     3.7     2.9     2.9 1
-2004  4  8     5.4     4.6     4.6 1
-2004  4  9     8.7     7.9     7.9 1
-2004  4 10     6.5     5.7     5.7 1
-2004  4 11     6.4     5.6     5.6 1
-2004  4 12     3.8     3.0     3.0 1
-2004  4 13     6.0     5.2     5.2 1
-2004  4 14     9.4     8.6     8.6 1
-2004  4 15    10.9    10.1    10.1 1
-2004  4 16    11.6    10.8    10.8 1
-2004  4 17    10.9    10.1    10.1 1
-2004  4 18    10.3     9.4     9.4 1
-2004  4 19     9.5     8.6     8.6 1
-2004  4 20     8.5     7.6     7.6 1
-2004  4 21     8.1     7.2     7.2 1
-2004  4 22     5.6     4.7     4.7 1
-2004  4 23     4.5     3.5     3.5 1
-2004  4 24     7.1     6.1     6.1 1
-2004  4 25     6.6     5.6     5.6 1
-2004  4 26     7.4     6.4     6.4 1
-2004  4 27     7.6     6.6     6.6 1
-2004  4 28     8.1     7.1     7.1 1
-2004  4 29     9.3     8.2     8.2 1
-2004  4 30    10.6     9.5     9.5 1
-2004  5  1     9.9     8.8     8.8 1
-2004  5  2    11.9    10.8    10.8 1
-2004  5  3    11.8    10.7    10.7 1
-2004  5  4    10.1     8.9     8.9 1
-2004  5  5    14.0    12.8    12.8 1
-2004  5  6    16.2    15.0    15.0 1
-2004  5  7    15.9    14.7    14.7 1
-2004  5  8    16.2    15.0    15.0 1
-2004  5  9    16.7    15.4    15.4 1
-2004  5 10     9.7     8.4     8.4 1
-2004  5 11     8.3     7.0     7.0 1
-2004  5 12     6.7     5.4     5.4 1
-2004  5 13     7.1     5.8     5.8 1
-2004  5 14     9.9     8.5     8.5 1
-2004  5 15    10.1     8.7     8.7 1
-2004  5 16    10.4     9.0     9.0 1
-2004  5 17    12.7    11.3    11.3 1
-2004  5 18    15.3    14.0    14.0 1
-2004  5 19    10.3     9.0     9.0 1
-2004  5 20     9.4     8.1     8.1 1
-2004  5 21     9.4     8.1     8.1 1
-2004  5 22     7.1     5.8     5.8 1
-2004  5 23     5.1     3.8     3.8 1
-2004  5 24     7.0     5.7     5.7 1
-2004  5 25     7.6     6.3     6.3 1
-2004  5 26     9.2     7.9     7.9 1
-2004  5 27    10.3     9.0     9.0 1
-2004  5 28    13.7    12.4    12.4 1
-2004  5 29    11.2    10.0    10.0 1
-2004  5 30    10.4     9.2     9.2 1
-2004  5 31    12.8    11.6    11.6 1
-2004  6  1    14.1    12.9    12.9 1
-2004  6  2    15.9    14.7    14.7 1
-2004  6  3    18.1    16.9    16.9 1
-2004  6  4    18.9    17.7    17.7 1
-2004  6  5    16.5    15.3    15.3 1
-2004  6  6    16.6    15.4    15.4 1
-2004  6  7    14.5    13.3    13.3 1
-2004  6  8    10.4     9.2     9.2 1
-2004  6  9    14.7    13.6    13.6 1
-2004  6 10    11.6    10.5    10.5 1
-2004  6 11    15.6    14.5    14.5 1
-2004  6 12    12.0    10.9    10.9 1
-2004  6 13    15.5    14.4    14.4 1
-2004  6 14    15.0    13.9    13.9 1
-2004  6 15    13.4    12.3    12.3 1
-2004  6 16    12.0    10.9    10.9 1
-2004  6 17    11.3    10.2    10.2 1
-2004  6 18    12.5    11.4    11.4 1
-2004  6 19    13.1    12.0    12.0 1
-2004  6 20    11.8    10.7    10.7 1
-2004  6 21    14.5    13.4    13.4 1
-2004  6 22    14.3    13.2    13.2 1
-2004  6 23    14.9    13.8    13.8 1
-2004  6 24    14.2    13.1    13.1 1
-2004  6 25    15.1    14.0    14.0 1
-2004  6 26    14.2    13.1    13.1 1
-2004  6 27    15.7    14.6    14.6 1
-2004  6 28    15.9    14.8    14.8 1
-2004  6 29    16.7    15.6    15.6 1
-2004  6 30    17.6    16.6    16.6 1
-2004  7  1    16.6    15.6    15.6 1
-2004  7  2    16.1    15.1    15.1 1
-2004  7  3    16.3    15.3    15.3 1
-2004  7  4    16.6    15.6    15.6 1
-2004  7  5    15.2    14.2    14.2 1
-2004  7  6    15.6    14.6    14.6 1
-2004  7  7    17.1    16.1    16.1 1
-2004  7  8    17.3    16.3    16.3 1
-2004  7  9    16.8    15.8    15.8 1
-2004  7 10    16.6    15.6    15.6 1
-2004  7 11    14.7    13.7    13.7 1
-2004  7 12    15.0    14.0    14.0 1
-2004  7 13    15.3    14.3    14.3 1
-2004  7 14    14.7    13.7    13.7 1
-2004  7 15    15.8    14.8    14.8 1
-2004  7 16    16.8    15.8    15.8 1
-2004  7 17    18.2    17.2    17.2 1
-2004  7 18    17.3    16.3    16.3 1
-2004  7 19    17.8    16.8    16.8 1
-2004  7 20    18.1    17.1    17.1 1
-2004  7 21    17.3    16.3    16.3 1
-2004  7 22    19.5    18.5    18.5 1
-2004  7 23    18.4    17.4    17.4 1
-2004  7 24    19.2    18.3    18.3 1
-2004  7 25    17.2    16.3    16.3 1
-2004  7 26    15.1    14.2    14.2 1
-2004  7 27    17.3    16.4    16.4 1
-2004  7 28    19.4    18.5    18.5 1
-2004  7 29    20.3    19.4    19.4 1
-2004  7 30    17.6    16.7    16.7 1
-2004  7 31    19.8    18.9    18.9 1
-2004  8  1    19.0    18.1    18.1 1
-2004  8  2    19.2    18.3    18.3 1
-2004  8  3    18.3    17.4    17.4 1
-2004  8  4    21.6    20.7    20.7 1
-2004  8  5    22.9    22.0    22.0 1
-2004  8  6    23.1    22.3    22.3 1
-2004  8  7    24.2    23.4    23.4 1
-2004  8  8    24.6    23.8    23.8 1
-2004  8  9    23.7    22.9    22.9 1
-2004  8 10    21.6    20.8    20.8 1
-2004  8 11    23.8    23.0    23.0 1
-2004  8 12    19.8    19.0    19.0 1
-2004  8 13    15.9    15.1    15.1 1
-2004  8 14    15.3    14.5    14.5 1
-2004  8 15    17.7    16.9    16.9 1
-2004  8 16    16.8    16.0    16.0 1
-2004  8 17    18.8    18.1    18.1 1
-2004  8 18    17.5    16.8    16.8 1
-2004  8 19    17.9    17.2    17.2 1
-2004  8 20    19.6    18.9    18.9 1
-2004  8 21    19.2    18.5    18.5 1
-2004  8 22    15.1    14.4    14.4 1
-2004  8 23    13.5    12.8    12.8 1
-2004  8 24    14.4    13.8    13.8 1
-2004  8 25    15.2    14.6    14.6 1
-2004  8 26    14.3    13.7    13.7 1
-2004  8 27    15.0    14.4    14.4 1
-2004  8 28    16.7    16.1    16.1 1
-2004  8 29    15.7    15.1    15.1 1
-2004  8 30    16.9    16.4    16.4 1
-2004  8 31    17.0    16.5    16.5 1
-2004  9  1    16.2    15.7    15.7 1
-2004  9  2    16.3    15.8    15.8 1
-2004  9  3    16.8    16.3    16.3 1
-2004  9  4    16.2    15.7    15.7 1
-2004  9  5    18.7    18.2    18.2 1
-2004  9  6    16.6    16.2    16.2 1
-2004  9  7    13.9    13.5    13.5 1
-2004  9  8    11.5    11.1    11.1 1
-2004  9  9    13.9    13.5    13.5 1
-2004  9 10    15.6    15.2    15.2 1
-2004  9 11    16.7    16.3    16.3 1
-2004  9 12    17.0    16.7    16.7 1
-2004  9 13    15.9    15.6    15.6 1
-2004  9 14    13.6    13.3    13.3 1
-2004  9 15    13.9    13.6    13.6 1
-2004  9 16     8.9     8.6     8.6 1
-2004  9 17    12.5    12.2    12.2 1
-2004  9 18    12.8    12.5    12.5 1
-2004  9 19    13.2    12.9    12.9 1
-2004  9 20    11.9    11.6    11.6 1
-2004  9 21    12.4    12.1    12.1 1
-2004  9 22    10.9    10.6    10.6 1
-2004  9 23    11.0    10.7    10.7 1
-2004  9 24    11.2    10.9    10.9 1
-2004  9 25    12.4    12.1    12.1 1
-2004  9 26    11.5    11.2    11.2 1
-2004  9 27    12.8    12.5    12.5 1
-2004  9 28    11.3    11.0    11.0 1
-2004  9 29    10.3    10.0    10.0 1
-2004  9 30    10.0     9.7     9.7 1
-2004 10  1     9.0     8.7     8.7 1
-2004 10  2     9.4     9.1     9.1 1
-2004 10  3    10.5    10.2    10.2 1
-2004 10  4    10.6    10.3    10.3 1
-2004 10  5    10.6    10.3    10.3 1
-2004 10  6    10.3    10.0    10.0 1
-2004 10  7    10.6    10.3    10.3 1
-2004 10  8     8.9     8.6     8.6 1
-2004 10  9     6.2     5.9     5.9 1
-2004 10 10     3.8     3.6     3.6 1
-2004 10 11     3.1     2.9     2.9 1
-2004 10 12     4.5     4.3     4.3 1
-2004 10 13     6.5     6.3     6.3 1
-2004 10 14     7.7     7.5     7.5 1
-2004 10 15     8.2     8.0     8.0 1
-2004 10 16     8.8     8.6     8.6 1
-2004 10 17     8.8     8.5     8.5 1
-2004 10 18     8.8     8.5     8.5 1
-2004 10 19     7.5     7.2     7.2 1
-2004 10 20     5.8     5.5     5.5 1
-2004 10 21     8.2     7.9     7.9 1
-2004 10 22     8.3     8.0     8.0 1
-2004 10 23     9.4     9.1     9.1 1
-2004 10 24     7.9     7.6     7.6 1
-2004 10 25     8.4     8.1     8.1 1
-2004 10 26    10.3    10.0    10.0 1
-2004 10 27     6.5     6.2     6.2 1
-2004 10 28     4.7     4.4     4.4 1
-2004 10 29     6.9     6.6     6.6 1
-2004 10 30     6.5     6.1     6.1 1
-2004 10 31     5.1     4.7     4.7 1
-2004 11  1     5.2     4.8     4.8 1
-2004 11  2     4.2     3.8     3.8 1
-2004 11  3     6.1     5.7     5.7 1
-2004 11  4     7.5     7.1     7.1 1
-2004 11  5     7.2     6.8     6.8 1
-2004 11  6     4.7     4.3     4.3 1
-2004 11  7     4.3     3.9     3.9 1
-2004 11  8     5.5     5.1     5.1 1
-2004 11  9     3.9     3.5     3.5 1
-2004 11 10     7.1     6.7     6.7 1
-2004 11 11     5.1     4.7     4.7 1
-2004 11 12     7.7     7.3     7.3 1
-2004 11 13     3.5     3.0     3.0 1
-2004 11 14     2.9     2.4     2.4 1
-2004 11 15     8.6     8.1     8.1 1
-2004 11 16     3.0     2.5     2.5 1
-2004 11 17    -1.0    -1.5    -1.5 1
-2004 11 18     0.3    -0.2    -0.2 1
-2004 11 19    -4.0    -4.5    -4.5 1
-2004 11 20    -5.5    -6.0    -6.0 1
-2004 11 21    -6.3    -6.8    -6.8 1
-2004 11 22    -2.6    -3.1    -3.1 1
-2004 11 23    -1.0    -1.5    -1.5 1
-2004 11 24    -4.2    -4.7    -4.7 1
-2004 11 25     1.4     0.9     0.9 1
-2004 11 26    -2.7    -3.2    -3.2 1
-2004 11 27    -2.5    -3.0    -3.0 1
-2004 11 28     0.0    -0.5    -0.5 1
-2004 11 29    -2.1    -2.6    -2.6 1
-2004 11 30     1.0     0.5     0.5 1
-2004 12  1     3.3     2.8     2.8 1
-2004 12  2     1.8     1.3     1.3 1
-2004 12  3     1.2     0.7     0.7 1
-2004 12  4     2.4     1.9     1.9 1
-2004 12  5     6.3     5.7     5.7 1
-2004 12  6     2.6     2.0     2.0 1
-2004 12  7     6.5     5.9     5.9 1
-2004 12  8     4.9     4.3     4.3 1
-2004 12  9     1.5     0.9     0.9 1
-2004 12 10     5.4     4.8     4.8 1
-2004 12 11     1.9     1.3     1.3 1
-2004 12 12     1.9     1.3     1.3 1
-2004 12 13     0.5    -0.1    -0.1 1
-2004 12 14     2.5     1.9     1.9 1
-2004 12 15     4.5     3.9     3.9 1
-2004 12 16     3.8     3.2     3.2 1
-2004 12 17     4.7     4.1     4.1 1
-2004 12 18     3.0     2.4     2.4 1
-2004 12 19    -1.4    -2.0    -2.0 1
-2004 12 20    -3.4    -4.0    -4.0 1
-2004 12 21    -3.4    -4.0    -4.0 1
-2004 12 22     0.9     0.3     0.3 1
-2004 12 23     1.6     1.0     1.0 1
-2004 12 24    -1.0    -1.6    -1.6 1
-2004 12 25    -0.3    -1.0    -1.0 1
-2004 12 26    -1.1    -1.8    -1.8 1
-2004 12 27    -3.4    -4.1    -4.1 1
-2004 12 28    -1.9    -2.6    -2.6 1
-2004 12 29    -0.8    -1.5    -1.5 1
-2004 12 30     3.6     2.9     2.9 1
-2004 12 31     1.6     0.9     0.9 1
-2005  1  1     0.0    -0.7    -0.7 1
-2005  1  2     3.6     2.9     2.9 1
-2005  1  3     1.9     1.2     1.2 1
-2005  1  4    -0.2    -0.9    -0.9 1
-2005  1  5     2.7     2.0     2.0 1
-2005  1  6     3.4     2.7     2.7 1
-2005  1  7     7.7     7.0     7.0 1
-2005  1  8     6.8     6.1     6.1 1
-2005  1  9     4.4     3.7     3.7 1
-2005  1 10     6.2     5.5     5.5 1
-2005  1 11     6.4     5.6     5.6 1
-2005  1 12     5.9     5.1     5.1 1
-2005  1 13     5.3     4.5     4.5 1
-2005  1 14     1.9     1.1     1.1 1
-2005  1 15    -1.6    -2.4    -2.4 1
-2005  1 16     2.4     1.6     1.6 1
-2005  1 17     3.2     2.4     2.4 1
-2005  1 18     3.8     3.0     3.0 1
-2005  1 19     1.5     0.7     0.7 1
-2005  1 20     1.4     0.6     0.6 1
-2005  1 21     0.3    -0.5    -0.5 1
-2005  1 22    -2.1    -2.9    -2.9 1
-2005  1 23    -1.7    -2.5    -2.5 1
-2005  1 24    -2.1    -2.9    -2.9 1
-2005  1 25    -2.1    -2.9    -2.9 1
-2005  1 26    -3.6    -4.4    -4.4 1
-2005  1 27    -3.1    -3.9    -3.9 1
-2005  1 28    -5.2    -6.0    -6.0 1
-2005  1 29    -5.9    -6.7    -6.7 1
-2005  1 30    -0.8    -1.6    -1.6 1
-2005  1 31     1.4     0.6     0.6 1
-2005  2  1     1.6     0.8     0.8 1
-2005  2  2     1.1     0.3     0.3 1
-2005  2  3    -0.1    -0.9    -0.9 1
-2005  2  4     1.5     0.7     0.7 1
-2005  2  5     3.7     2.9     2.9 1
-2005  2  6     1.0     0.2     0.2 1
-2005  2  7    -0.4    -1.2    -1.2 1
-2005  2  8    -0.1    -0.9    -0.9 1
-2005  2  9     0.0    -0.8    -0.8 1
-2005  2 10     2.0     1.2     1.2 1
-2005  2 11     1.0     0.2     0.2 1
-2005  2 12     0.0    -0.8    -0.8 1
-2005  2 13    -0.9    -1.7    -1.7 1
-2005  2 14    -1.9    -2.7    -2.7 1
-2005  2 15    -3.8    -4.6    -4.6 1
-2005  2 16    -4.6    -5.5    -5.5 1
-2005  2 17    -4.6    -5.5    -5.5 1
-2005  2 18    -0.6    -1.5    -1.5 1
-2005  2 19     1.3     0.4     0.4 1
-2005  2 20     1.3     0.4     0.4 1
-2005  2 21    -1.2    -2.1    -2.1 1
-2005  2 22    -6.5    -7.4    -7.4 1
-2005  2 23    -5.3    -6.2    -6.2 1
-2005  2 24    -4.1    -5.0    -5.0 1
-2005  2 25    -6.2    -7.1    -7.1 1
-2005  2 26    -5.2    -6.1    -6.1 1
-2005  2 27    -6.7    -7.6    -7.6 1
-2005  2 28    -8.9    -9.8    -9.8 1
-2005  3  1   -10.5   -11.4   -11.4 1
-2005  3  2    -9.5   -10.4   -10.4 1
-2005  3  3    -6.7    -7.6    -7.6 1
-2005  3  4    -5.0    -5.9    -5.9 1
-2005  3  5    -3.0    -3.9    -3.9 1
-2005  3  6    -5.1    -6.0    -6.0 1
-2005  3  7     0.4    -0.5    -0.5 1
-2005  3  8    -1.3    -2.2    -2.2 1
-2005  3  9    -4.8    -5.7    -5.7 1
-2005  3 10    -0.3    -1.2    -1.2 1
-2005  3 11     0.2    -0.7    -0.7 1
-2005  3 12    -6.3    -7.2    -7.2 1
-2005  3 13    -7.3    -8.3    -8.3 1
-2005  3 14    -5.6    -6.6    -6.6 1
-2005  3 15    -6.3    -7.3    -7.3 1
-2005  3 16    -1.1    -2.1    -2.1 1
-2005  3 17     1.0     0.1     0.1 1
-2005  3 18    -4.5    -5.4    -5.4 1
-2005  3 19    -5.4    -6.3    -6.3 1
-2005  3 20    -4.4    -5.3    -5.3 1
-2005  3 21    -1.4    -2.3    -2.3 1
-2005  3 22     3.2     2.3     2.3 1
-2005  3 23     5.0     4.1     4.1 1
-2005  3 24     6.3     5.4     5.4 1
-2005  3 25     7.4     6.5     6.5 1
-2005  3 26     5.4     4.5     4.5 1
-2005  3 27     3.0     2.1     2.1 1
-2005  3 28     3.7     2.8     2.8 1
-2005  3 29     2.9     2.0     2.0 1
-2005  3 30     2.7     1.8     1.8 1
-2005  3 31     4.6     3.7     3.7 1
-2005  4  1     8.0     7.1     7.1 1
-2005  4  2     8.2     7.3     7.3 1
-2005  4  3     9.1     8.2     8.2 1
-2005  4  4    10.2     9.3     9.3 1
-2005  4  5     8.4     7.5     7.5 1
-2005  4  6     7.0     6.2     6.2 1
-2005  4  7     5.3     4.5     4.5 1
-2005  4  8     5.7     4.9     4.9 1
-2005  4  9     5.0     4.2     4.2 1
-2005  4 10     5.7     4.9     4.9 1
-2005  4 11     9.9     9.1     9.1 1
-2005  4 12    10.1     9.3     9.3 1
-2005  4 13     7.9     7.1     7.1 1
-2005  4 14     6.3     5.5     5.5 1
-2005  4 15     7.4     6.6     6.6 1
-2005  4 16     7.4     6.6     6.6 1
-2005  4 17     7.2     6.4     6.4 1
-2005  4 18     4.7     3.8     3.8 1
-2005  4 19     2.6     1.7     1.7 1
-2005  4 20     1.3     0.4     0.4 1
-2005  4 21     3.5     2.6     2.6 1
-2005  4 22     2.6     1.7     1.7 1
-2005  4 23     4.5     3.5     3.5 1
-2005  4 24     5.3     4.3     4.3 1
-2005  4 25     7.1     6.1     6.1 1
-2005  4 26     7.4     6.4     6.4 1
-2005  4 27     8.4     7.4     7.4 1
-2005  4 28     9.2     8.2     8.2 1
-2005  4 29    11.0     9.9     9.9 1
-2005  4 30     9.7     8.6     8.6 1
-2005  5  1     9.4     8.3     8.3 1
-2005  5  2     9.1     8.0     8.0 1
-2005  5  3     7.7     6.6     6.6 1
-2005  5  4     8.2     7.0     7.0 1
-2005  5  5     8.8     7.6     7.6 1
-2005  5  6    10.5     9.3     9.3 1
-2005  5  7     9.0     7.8     7.8 1
-2005  5  8     9.1     7.9     7.9 1
-2005  5  9     7.9     6.6     6.6 1
-2005  5 10     8.3     7.0     7.0 1
-2005  5 11    10.2     8.9     8.9 1
-2005  5 12    12.8    11.5    11.5 1
-2005  5 13    11.5    10.2    10.2 1
-2005  5 14    11.3     9.9     9.9 1
-2005  5 15    13.4    12.0    12.0 1
-2005  5 16     9.7     8.3     8.3 1
-2005  5 17     8.8     7.4     7.4 1
-2005  5 18     8.8     7.5     7.5 1
-2005  5 19     9.1     7.8     7.8 1
-2005  5 20    11.6    10.3    10.3 1
-2005  5 21    12.5    11.2    11.2 1
-2005  5 22    14.2    12.9    12.9 1
-2005  5 23    14.3    13.0    13.0 1
-2005  5 24    14.3    13.0    13.0 1
-2005  5 25    13.4    12.1    12.1 1
-2005  5 26    15.5    14.2    14.2 1
-2005  5 27    17.2    15.9    15.9 1
-2005  5 28    10.8     9.5     9.5 1
-2005  5 29    12.7    11.5    11.5 1
-2005  5 30    11.9    10.7    10.7 1
-2005  5 31     7.9     6.7     6.7 1
-2005  6  1    10.5     9.3     9.3 1
-2005  6  2    11.2    10.0    10.0 1
-2005  6  3    11.1     9.9     9.9 1
-2005  6  4    12.3    11.1    11.1 1
-2005  6  5    12.5    11.3    11.3 1
-2005  6  6    11.0     9.8     9.8 1
-2005  6  7    11.2    10.0    10.0 1
-2005  6  8    12.1    10.9    10.9 1
-2005  6  9    15.6    14.5    14.5 1
-2005  6 10    12.4    11.3    11.3 1
-2005  6 11    11.6    10.5    10.5 1
-2005  6 12    12.6    11.5    11.5 1
-2005  6 13    13.0    11.9    11.9 1
-2005  6 14    15.6    14.5    14.5 1
-2005  6 15    17.7    16.6    16.6 1
-2005  6 16    20.3    19.2    19.2 1
-2005  6 17    19.9    18.8    18.8 1
-2005  6 18    18.0    16.9    16.9 1
-2005  6 19    17.1    16.0    16.0 1
-2005  6 20    19.2    18.1    18.1 1
-2005  6 21    21.1    20.0    20.0 1
-2005  6 22    17.7    16.6    16.6 1
-2005  6 23    20.7    19.6    19.6 1
-2005  6 24    21.7    20.6    20.6 1
-2005  6 25    14.3    13.2    13.2 1
-2005  6 26    15.9    14.8    14.8 1
-2005  6 27    17.2    16.1    16.1 1
-2005  6 28    14.3    13.2    13.2 1
-2005  6 29    11.4    10.3    10.3 1
-2005  6 30    13.7    12.7    12.7 1
-2005  7  1    17.0    16.0    16.0 1
-2005  7  2    18.0    17.0    17.0 1
-2005  7  3    19.2    18.2    18.2 1
-2005  7  4    19.6    18.6    18.6 1
-2005  7  5    20.6    19.6    19.6 1
-2005  7  6    22.0    21.0    21.0 1
-2005  7  7    23.1    22.1    22.1 1
-2005  7  8    23.6    22.6    22.6 1
-2005  7  9    23.0    22.0    22.0 1
-2005  7 10    23.4    22.4    22.4 1
-2005  7 11    24.4    23.4    23.4 1
-2005  7 12    26.2    25.2    25.2 1
-2005  7 13    22.8    21.8    21.8 1
-2005  7 14    19.7    18.7    18.7 1
-2005  7 15    19.8    18.8    18.8 1
-2005  7 16    19.0    18.0    18.0 1
-2005  7 17    19.3    18.3    18.3 1
-2005  7 18    19.1    18.1    18.1 1
-2005  7 19    18.9    17.9    17.9 1
-2005  7 20    17.0    16.0    16.0 1
-2005  7 21    17.0    16.0    16.0 1
-2005  7 22    15.3    14.3    14.3 1
-2005  7 23    15.6    14.6    14.6 1
-2005  7 24    17.1    16.2    16.2 1
-2005  7 25    16.8    15.9    15.9 1
-2005  7 26    17.0    16.1    16.1 1
-2005  7 27    17.5    16.6    16.6 1
-2005  7 28    18.1    17.2    17.2 1
-2005  7 29    18.7    17.8    17.8 1
-2005  7 30    17.5    16.6    16.6 1
-2005  7 31    16.0    15.1    15.1 1
-2005  8  1    15.8    14.9    14.9 1
-2005  8  2    17.5    16.6    16.6 1
-2005  8  3    17.5    16.6    16.6 1
-2005  8  4    17.1    16.2    16.2 1
-2005  8  5    16.3    15.4    15.4 1
-2005  8  6    16.6    15.8    15.8 1
-2005  8  7    15.2    14.4    14.4 1
-2005  8  8    15.6    14.8    14.8 1
-2005  8  9    18.3    17.5    17.5 1
-2005  8 10    16.8    16.0    16.0 1
-2005  8 11    16.4    15.6    15.6 1
-2005  8 12    18.7    17.9    17.9 1
-2005  8 13    16.9    16.1    16.1 1
-2005  8 14    16.9    16.1    16.1 1
-2005  8 15    17.8    17.0    17.0 1
-2005  8 16    17.6    16.8    16.8 1
-2005  8 17    17.0    16.3    16.3 1
-2005  8 18    18.4    17.7    17.7 1
-2005  8 19    19.2    18.5    18.5 1
-2005  8 20    19.7    19.0    19.0 1
-2005  8 21    17.5    16.8    16.8 1
-2005  8 22    16.9    16.2    16.2 1
-2005  8 23    17.2    16.5    16.5 1
-2005  8 24    18.6    18.0    18.0 1
-2005  8 25    17.6    17.0    17.0 1
-2005  8 26    15.2    14.6    14.6 1
-2005  8 27    14.4    13.8    13.8 1
-2005  8 28    15.1    14.5    14.5 1
-2005  8 29    17.4    16.8    16.8 1
-2005  8 30    16.3    15.8    15.8 1
-2005  8 31    16.6    16.1    16.1 1
-2005  9  1    17.0    16.5    16.5 1
-2005  9  2    17.2    16.7    16.7 1
-2005  9  3    16.8    16.3    16.3 1
-2005  9  4    14.2    13.7    13.7 1
-2005  9  5    16.3    15.8    15.8 1
-2005  9  6    17.6    17.2    17.2 1
-2005  9  7    18.0    17.6    17.6 1
-2005  9  8    18.3    17.9    17.9 1
-2005  9  9    14.4    14.0    14.0 1
-2005  9 10    12.2    11.8    11.8 1
-2005  9 11    11.2    10.8    10.8 1
-2005  9 12    11.6    11.3    11.3 1
-2005  9 13    11.1    10.8    10.8 1
-2005  9 14    15.0    14.7    14.7 1
-2005  9 15     9.7     9.4     9.4 1
-2005  9 16     8.1     7.8     7.8 1
-2005  9 17     8.4     8.1     8.1 1
-2005  9 18    11.1    10.8    10.8 1
-2005  9 19    14.7    14.4    14.4 1
-2005  9 20    15.5    15.2    15.2 1
-2005  9 21    13.5    13.2    13.2 1
-2005  9 22    13.2    12.9    12.9 1
-2005  9 23    14.5    14.2    14.2 1
-2005  9 24    15.5    15.2    15.2 1
-2005  9 25    14.8    14.5    14.5 1
-2005  9 26    15.9    15.6    15.6 1
-2005  9 27    14.5    14.2    14.2 1
-2005  9 28    13.3    13.0    13.0 1
-2005  9 29    11.3    11.0    11.0 1
-2005  9 30    11.7    11.4    11.4 1
-2005 10  1    12.5    12.2    12.2 1
-2005 10  2    12.8    12.5    12.5 1
-2005 10  3    11.6    11.3    11.3 1
-2005 10  4    12.2    11.9    11.9 1
-2005 10  5    11.7    11.4    11.4 1
-2005 10  6    11.8    11.5    11.5 1
-2005 10  7    11.5    11.2    11.2 1
-2005 10  8    12.8    12.5    12.5 1
-2005 10  9    13.8    13.5    13.5 1
-2005 10 10    10.7    10.4    10.4 1
-2005 10 11    12.9    12.7    12.7 1
-2005 10 12    12.4    12.2    12.2 1
-2005 10 13    12.4    12.2    12.2 1
-2005 10 14    10.0     9.8     9.8 1
-2005 10 15     7.3     7.1     7.1 1
-2005 10 16     6.0     5.8     5.8 1
-2005 10 17     5.3     5.0     5.0 1
-2005 10 18     6.3     6.0     6.0 1
-2005 10 19     5.0     4.7     4.7 1
-2005 10 20     7.6     7.3     7.3 1
-2005 10 21    10.2     9.9     9.9 1
-2005 10 22     9.2     8.9     8.9 1
-2005 10 23     3.9     3.6     3.6 1
-2005 10 24     1.0     0.7     0.7 1
-2005 10 25     3.4     3.1     3.1 1
-2005 10 26     6.2     5.9     5.9 1
-2005 10 27     3.2     2.9     2.9 1
-2005 10 28     8.0     7.7     7.7 1
-2005 10 29     8.5     8.2     8.2 1
-2005 10 30     8.4     8.0     8.0 1
-2005 10 31     8.8     8.4     8.4 1
-2005 11  1     7.8     7.4     7.4 1
-2005 11  2     8.8     8.4     8.4 1
-2005 11  3     8.0     7.6     7.6 1
-2005 11  4    10.4    10.0    10.0 1
-2005 11  5     9.7     9.3     9.3 1
-2005 11  6     9.4     9.0     9.0 1
-2005 11  7     9.3     8.9     8.9 1
-2005 11  8     8.2     7.8     7.8 1
-2005 11  9     8.5     8.1     8.1 1
-2005 11 10     8.3     7.9     7.9 1
-2005 11 11     7.6     7.2     7.2 1
-2005 11 12     9.9     9.5     9.5 1
-2005 11 13     8.3     7.8     7.8 1
-2005 11 14     7.9     7.4     7.4 1
-2005 11 15     6.2     5.7     5.7 1
-2005 11 16     0.7     0.2     0.2 1
-2005 11 17    -1.6    -2.1    -2.1 1
-2005 11 18    -2.3    -2.8    -2.8 1
-2005 11 19    -0.6    -1.1    -1.1 1
-2005 11 20    -0.4    -0.9    -0.9 1
-2005 11 21    -0.7    -1.2    -1.2 1
-2005 11 22     1.7     1.2     1.2 1
-2005 11 23     4.0     3.5     3.5 1
-2005 11 24     4.5     4.0     4.0 1
-2005 11 25     2.9     2.4     2.4 1
-2005 11 26     1.0     0.5     0.5 1
-2005 11 27    -0.3    -0.8    -0.8 1
-2005 11 28    -0.9    -1.4    -1.4 1
-2005 11 29    -2.3    -2.8    -2.8 1
-2005 11 30    -1.3    -1.8    -1.8 1
-2005 12  1    -2.2    -2.7    -2.7 1
-2005 12  2     1.4     0.9     0.9 1
-2005 12  3     1.8     1.3     1.3 1
-2005 12  4     1.5     1.0     1.0 1
-2005 12  5     2.4     1.8     1.8 1
-2005 12  6     3.7     3.1     3.1 1
-2005 12  7     3.5     2.9     2.9 1
-2005 12  8     0.4    -0.2    -0.2 1
-2005 12  9    -0.8    -1.4    -1.4 1
-2005 12 10    -0.1    -0.7    -0.7 1
-2005 12 11     5.4     4.8     4.8 1
-2005 12 12     4.5     3.9     3.9 1
-2005 12 13     3.1     2.5     2.5 1
-2005 12 14     0.8     0.2     0.2 1
-2005 12 15     0.7     0.1     0.1 1
-2005 12 16    -2.2    -2.8    -2.8 1
-2005 12 17    -4.6    -5.2    -5.2 1
-2005 12 18    -5.6    -6.2    -6.2 1
-2005 12 19    -5.2    -5.8    -5.8 1
-2005 12 20    -0.1    -0.7    -0.7 1
-2005 12 21    -1.2    -1.8    -1.8 1
-2005 12 22     1.7     1.1     1.1 1
-2005 12 23     1.4     0.8     0.8 1
-2005 12 24     1.4     0.8     0.8 1
-2005 12 25    -0.5    -1.2    -1.2 1
-2005 12 26    -1.8    -2.5    -2.5 1
-2005 12 27    -2.7    -3.4    -3.4 1
-2005 12 28    -2.1    -2.8    -2.8 1
-2005 12 29    -1.4    -2.1    -2.1 1
-2005 12 30     0.0    -0.7    -0.7 1
-2005 12 31    -0.9    -1.6    -1.6 1
-2006  1  1    -2.3    -3.0    -3.0 1
-2006  1  2    -4.9    -5.6    -5.6 1
-2006  1  3    -8.1    -8.8    -8.8 1
-2006  1  4    -7.2    -7.9    -7.9 1
-2006  1  5    -1.1    -1.8    -1.8 1
-2006  1  6    -0.3    -1.0    -1.0 1
-2006  1  7    -1.0    -1.7    -1.7 1
-2006  1  8    -2.2    -2.9    -2.9 1
-2006  1  9    -4.8    -5.5    -5.5 1
-2006  1 10    -1.5    -2.2    -2.2 1
-2006  1 11     2.3     1.5     1.5 1
-2006  1 12     3.3     2.5     2.5 1
-2006  1 13     0.9     0.1     0.1 1
-2006  1 14    -2.1    -2.9    -2.9 1
-2006  1 15    -0.6    -1.4    -1.4 1
-2006  1 16    -0.6    -1.4    -1.4 1
-2006  1 17     0.2    -0.6    -0.6 1
-2006  1 18    -3.9    -4.7    -4.7 1
-2006  1 19    -8.4    -9.2    -9.2 1
-2006  1 20    -8.3    -9.1    -9.1 1
-2006  1 21    -8.0    -8.8    -8.8 1
-2006  1 22    -8.8    -9.6    -9.6 1
-2006  1 23    -4.7    -5.5    -5.5 1
-2006  1 24    -2.8    -3.6    -3.6 1
-2006  1 25    -0.6    -1.4    -1.4 1
-2006  1 26    -2.2    -3.0    -3.0 1
-2006  1 27    -2.0    -2.8    -2.8 1
-2006  1 28    -1.5    -2.3    -2.3 1
-2006  1 29     1.0     0.2     0.2 1
-2006  1 30     3.9     3.1     3.1 1
-2006  1 31     4.3     3.5     3.5 1
-2006  2  1     5.3     4.5     4.5 1
-2006  2  2     1.9     1.1     1.1 1
-2006  2  3    -1.9    -2.7    -2.7 1
-2006  2  4    -9.0    -9.8    -9.8 1
-2006  2  5   -10.0   -10.8   -10.8 1
-2006  2  6    -5.8    -6.6    -6.6 1
-2006  2  7    -1.5    -2.3    -2.3 1
-2006  2  8    -2.7    -3.5    -3.5 1
-2006  2  9    -1.4    -2.2    -2.2 1
-2006  2 10    -3.1    -3.9    -3.9 1
-2006  2 11    -5.5    -6.3    -6.3 1
-2006  2 12    -2.7    -3.5    -3.5 1
-2006  2 13    -5.8    -6.6    -6.6 1
-2006  2 14    -3.8    -4.6    -4.6 1
-2006  2 15    -0.7    -1.5    -1.5 1
-2006  2 16    -1.4    -2.3    -2.3 1
-2006  2 17    -3.9    -4.8    -4.8 1
-2006  2 18    -2.1    -3.0    -3.0 1
-2006  2 19     0.2    -0.7    -0.7 1
-2006  2 20    -0.8    -1.7    -1.7 1
-2006  2 21    -2.2    -3.1    -3.1 1
-2006  2 22    -2.6    -3.5    -3.5 1
-2006  2 23    -0.6    -1.5    -1.5 1
-2006  2 24    -2.0    -2.9    -2.9 1
-2006  2 25     0.0    -0.9    -0.9 1
-2006  2 26    -4.8    -5.7    -5.7 1
-2006  2 27    -5.1    -6.0    -6.0 1
-2006  2 28    -2.7    -3.6    -3.6 1
-2006  3  1    -1.9    -2.8    -2.8 1
-2006  3  2    -4.3    -5.2    -5.2 1
-2006  3  3    -5.8    -6.7    -6.7 1
-2006  3  4    -5.1    -6.0    -6.0 1
-2006  3  5    -5.9    -6.8    -6.8 1
-2006  3  6    -5.8    -6.7    -6.7 1
-2006  3  7    -9.3   -10.2   -10.2 1
-2006  3  8    -6.0    -6.9    -6.9 1
-2006  3  9    -9.7   -10.6   -10.6 1
-2006  3 10   -10.1   -11.0   -11.0 1
-2006  3 11    -8.1    -9.0    -9.0 1
-2006  3 12    -4.9    -5.8    -5.8 1
-2006  3 13    -5.8    -6.8    -6.8 1
-2006  3 14    -2.6    -3.6    -3.6 1
-2006  3 15    -1.8    -2.8    -2.8 1
-2006  3 16    -2.5    -3.5    -3.5 1
-2006  3 17    -1.5    -2.4    -2.4 1
-2006  3 18     1.5     0.6     0.6 1
-2006  3 19     0.4    -0.5    -0.5 1
-2006  3 20    -3.6    -4.5    -4.5 1
-2006  3 21    -3.3    -4.2    -4.2 1
-2006  3 22    -2.2    -3.1    -3.1 1
-2006  3 23    -3.3    -4.2    -4.2 1
-2006  3 24    -1.0    -1.9    -1.9 1
-2006  3 25    -2.2    -3.1    -3.1 1
-2006  3 26     0.8    -0.1    -0.1 1
-2006  3 27     0.5    -0.4    -0.4 1
-2006  3 28     4.1     3.2     3.2 1
-2006  3 29     4.7     3.8     3.8 1
-2006  3 30     4.6     3.7     3.7 1
-2006  3 31     0.3    -0.6    -0.6 1
-2006  4  1     0.2    -0.7    -0.7 1
-2006  4  2     1.5     0.6     0.6 1
-2006  4  3     3.2     2.3     2.3 1
-2006  4  4     2.4     1.5     1.5 1
-2006  4  5     1.0     0.1     0.1 1
-2006  4  6     2.8     2.0     2.0 1
-2006  4  7     5.2     4.4     4.4 1
-2006  4  8     4.1     3.3     3.3 1
-2006  4  9     3.0     2.2     2.2 1
-2006  4 10     2.4     1.6     1.6 1
-2006  4 11     4.3     3.5     3.5 1
-2006  4 12     4.4     3.6     3.6 1
-2006  4 13     3.5     2.7     2.7 1
-2006  4 14     4.5     3.7     3.7 1
-2006  4 15     7.7     6.9     6.9 1
-2006  4 16     7.0     6.2     6.2 1
-2006  4 17     6.9     6.1     6.1 1
-2006  4 18     6.7     5.8     5.8 1
-2006  4 19     7.9     7.0     7.0 1
-2006  4 20     3.4     2.5     2.5 1
-2006  4 21     6.8     5.9     5.9 1
-2006  4 22     7.1     6.2     6.2 1
-2006  4 23     7.6     6.6     6.6 1
-2006  4 24     8.4     7.4     7.4 1
-2006  4 25     9.0     8.0     8.0 1
-2006  4 26     8.4     7.4     7.4 1
-2006  4 27     9.8     8.8     8.8 1
-2006  4 28     7.0     6.0     6.0 1
-2006  4 29     7.0     5.9     5.9 1
-2006  4 30     8.7     7.6     7.6 1
-2006  5  1     8.5     7.4     7.4 1
-2006  5  2     8.5     7.4     7.4 1
-2006  5  3     9.4     8.3     8.3 1
-2006  5  4    12.3    11.1    11.1 1
-2006  5  5    13.8    12.6    12.6 1
-2006  5  6    13.9    12.7    12.7 1
-2006  5  7    15.7    14.5    14.5 1
-2006  5  8    16.9    15.7    15.7 1
-2006  5  9    16.8    15.5    15.5 1
-2006  5 10    12.9    11.6    11.6 1
-2006  5 11    15.6    14.3    14.3 1
-2006  5 12    15.4    14.1    14.1 1
-2006  5 13    12.5    11.2    11.2 1
-2006  5 14    11.1     9.7     9.7 1
-2006  5 15     9.9     8.5     8.5 1
-2006  5 16     8.3     6.9     6.9 1
-2006  5 17     8.6     7.2     7.2 1
-2006  5 18     8.2     6.9     6.9 1
-2006  5 19     8.8     7.5     7.5 1
-2006  5 20     9.1     7.8     7.8 1
-2006  5 21    12.0    10.7    10.7 1
-2006  5 22    12.8    11.5    11.5 1
-2006  5 23    11.9    10.6    10.6 1
-2006  5 24    11.6    10.3    10.3 1
-2006  5 25     9.8     8.5     8.5 1
-2006  5 26     8.6     7.3     7.3 1
-2006  5 27    10.2     8.9     8.9 1
-2006  5 28    11.4    10.1    10.1 1
-2006  5 29    11.5    10.3    10.3 1
-2006  5 30     9.1     7.9     7.9 1
-2006  5 31     8.7     7.5     7.5 1
-2006  6  1    10.8     9.6     9.6 1
-2006  6  2    15.3    14.1    14.1 1
-2006  6  3    16.2    15.0    15.0 1
-2006  6  4    12.6    11.4    11.4 1
-2006  6  5    12.6    11.4    11.4 1
-2006  6  6    10.5     9.3     9.3 1
-2006  6  7    11.0     9.8     9.8 1
-2006  6  8    14.6    13.4    13.4 1
-2006  6  9    17.5    16.4    16.4 1
-2006  6 10    17.4    16.3    16.3 1
-2006  6 11    20.5    19.4    19.4 1
-2006  6 12    23.7    22.6    22.6 1
-2006  6 13    24.4    23.3    23.3 1
-2006  6 14    17.9    16.8    16.8 1
-2006  6 15    15.0    13.9    13.9 1
-2006  6 16    19.5    18.4    18.4 1
-2006  6 17    21.2    20.1    20.1 1
-2006  6 18    20.3    19.2    19.2 1
-2006  6 19    20.3    19.2    19.2 1
-2006  6 20    18.7    17.6    17.6 1
-2006  6 21    18.1    17.0    17.0 1
-2006  6 22    18.3    17.2    17.2 1
-2006  6 23    15.7    14.6    14.6 1
-2006  6 24    16.7    15.6    15.6 1
-2006  6 25    18.2    17.1    17.1 1
-2006  6 26    16.2    15.1    15.1 1
-2006  6 27    13.8    12.7    12.7 1
-2006  6 28    15.1    14.0    14.0 1
-2006  6 29    18.0    16.9    16.9 1
-2006  6 30    20.5    19.5    19.5 1
-2006  7  1    21.2    20.2    20.2 1
-2006  7  2    21.6    20.6    20.6 1
-2006  7  3    22.8    21.8    21.8 1
-2006  7  4    23.4    22.4    22.4 1
-2006  7  5    21.3    20.3    20.3 1
-2006  7  6    24.8    23.8    23.8 1
-2006  7  7    25.3    24.3    24.3 1
-2006  7  8    23.8    22.8    22.8 1
-2006  7  9    22.0    21.0    21.0 1
-2006  7 10    21.4    20.4    20.4 1
-2006  7 11    20.1    19.1    19.1 1
-2006  7 12    19.7    18.7    18.7 1
-2006  7 13    20.2    19.2    19.2 1
-2006  7 14    18.2    17.2    17.2 1
-2006  7 15    15.8    14.8    14.8 1
-2006  7 16    19.2    18.2    18.2 1
-2006  7 17    21.7    20.7    20.7 1
-2006  7 18    18.0    17.0    17.0 1
-2006  7 19    15.6    14.6    14.6 1
-2006  7 20    17.1    16.1    16.1 1
-2006  7 21    20.4    19.4    19.4 1
-2006  7 22    20.7    19.7    19.7 1
-2006  7 23    20.5    19.5    19.5 1
-2006  7 24    22.0    21.1    21.1 1
-2006  7 25    23.6    22.7    22.7 1
-2006  7 26    21.3    20.4    20.4 1
-2006  7 27    21.6    20.7    20.7 1
-2006  7 28    21.7    20.8    20.8 1
-2006  7 29    19.2    18.3    18.3 1
-2006  7 30    20.1    19.2    19.2 1
-2006  7 31    20.3    19.4    19.4 1
-2006  8  1    21.1    20.2    20.2 1
-2006  8  2    18.9    18.0    18.0 1
-2006  8  3    18.1    17.2    17.2 1
-2006  8  4    19.7    18.8    18.8 1
-2006  8  5    21.0    20.1    20.1 1
-2006  8  6    23.0    22.2    22.2 1
-2006  8  7    22.9    22.1    22.1 1
-2006  8  8    21.1    20.3    20.3 1
-2006  8  9    20.6    19.8    19.8 1
-2006  8 10    20.8    20.0    20.0 1
-2006  8 11    19.9    19.1    19.1 1
-2006  8 12    20.1    19.3    19.3 1
-2006  8 13    18.1    17.3    17.3 1
-2006  8 14    19.1    18.3    18.3 1
-2006  8 15    17.4    16.6    16.6 1
-2006  8 16    17.4    16.6    16.6 1
-2006  8 17    18.9    18.2    18.2 1
-2006  8 18    20.8    20.1    20.1 1
-2006  8 19    20.1    19.4    19.4 1
-2006  8 20    19.5    18.8    18.8 1
-2006  8 21    17.3    16.6    16.6 1
-2006  8 22    18.6    17.9    17.9 1
-2006  8 23    16.7    16.0    16.0 1
-2006  8 24    19.4    18.8    18.8 1
-2006  8 25    17.6    17.0    17.0 1
-2006  8 26    18.6    18.0    18.0 1
-2006  8 27    18.0    17.4    17.4 1
-2006  8 28    17.3    16.7    16.7 1
-2006  8 29    16.6    16.0    16.0 1
-2006  8 30    17.7    17.2    17.2 1
-2006  8 31    18.1    17.6    17.6 1
-2006  9  1    18.2    17.7    17.7 1
-2006  9  2    17.9    17.4    17.4 1
-2006  9  3    16.7    16.2    16.2 1
-2006  9  4    15.6    15.1    15.1 1
-2006  9  5    15.5    15.0    15.0 1
-2006  9  6    14.6    14.2    14.2 1
-2006  9  7    13.4    13.0    13.0 1
-2006  9  8    10.4    10.0    10.0 1
-2006  9  9    14.3    13.9    13.9 1
-2006  9 10    15.5    15.1    15.1 1
-2006  9 11    14.9    14.5    14.5 1
-2006  9 12    17.9    17.6    17.6 1
-2006  9 13    17.9    17.6    17.6 1
-2006  9 14    17.8    17.5    17.5 1
-2006  9 15    13.2    12.9    12.9 1
-2006  9 16    13.3    13.0    13.0 1
-2006  9 17    13.5    13.2    13.2 1
-2006  9 18    14.6    14.3    14.3 1
-2006  9 19    15.7    15.4    15.4 1
-2006  9 20    15.6    15.3    15.3 1
-2006  9 21    16.2    15.9    15.9 1
-2006  9 22    17.4    17.1    17.1 1
-2006  9 23    17.2    16.9    16.9 1
-2006  9 24    17.1    16.8    16.8 1
-2006  9 25    14.3    14.0    14.0 1
-2006  9 26    17.3    17.0    17.0 1
-2006  9 27    17.4    17.1    17.1 1
-2006  9 28    14.8    14.5    14.5 1
-2006  9 29    16.0    15.7    15.7 1
-2006  9 30    12.5    12.2    12.2 1
-2006 10  1    14.5    14.2    14.2 1
-2006 10  2    12.8    12.5    12.5 1
-2006 10  3    13.3    13.0    13.0 1
-2006 10  4    11.9    11.6    11.6 1
-2006 10  5    12.3    12.0    12.0 1
-2006 10  6    10.8    10.5    10.5 1
-2006 10  7    14.0    13.7    13.7 1
-2006 10  8    13.4    13.1    13.1 1
-2006 10  9     9.7     9.4     9.4 1
-2006 10 10    12.7    12.4    12.4 1
-2006 10 11    10.6    10.4    10.4 1
-2006 10 12     9.9     9.7     9.7 1
-2006 10 13     7.9     7.7     7.7 1
-2006 10 14    10.5    10.3    10.3 1
-2006 10 15    11.0    10.8    10.8 1
-2006 10 16    10.4    10.2    10.2 1
-2006 10 17     9.8     9.5     9.5 1
-2006 10 18     8.0     7.7     7.7 1
-2006 10 19     9.4     9.1     9.1 1
-2006 10 20     9.5     9.2     9.2 1
-2006 10 21    10.4    10.1    10.1 1
-2006 10 22    12.1    11.8    11.8 1
-2006 10 23    11.6    11.3    11.3 1
-2006 10 24    11.0    10.7    10.7 1
-2006 10 25     4.9     4.6     4.6 1
-2006 10 26     8.3     8.0     8.0 1
-2006 10 27     8.8     8.5     8.5 1
-2006 10 28     4.3     4.0     4.0 1
-2006 10 29     1.5     1.2     1.2 1
-2006 10 30     3.4     3.0     3.0 1
-2006 10 31     6.3     5.9     5.9 1
-2006 11  1    -1.3    -1.7    -1.7 1
-2006 11  2    -3.5    -3.9    -3.9 1
-2006 11  3    -1.2    -1.6    -1.6 1
-2006 11  4     1.3     0.9     0.9 1
-2006 11  5     2.4     2.0     2.0 1
-2006 11  6     5.9     5.5     5.5 1
-2006 11  7     8.7     8.3     8.3 1
-2006 11  8     5.0     4.6     4.6 1
-2006 11  9     2.0     1.6     1.6 1
-2006 11 10     1.5     1.1     1.1 1
-2006 11 11     4.0     3.6     3.6 1
-2006 11 12     1.8     1.4     1.4 1
-2006 11 13     1.1     0.6     0.6 1
-2006 11 14     5.7     5.2     5.2 1
-2006 11 15     5.6     5.1     5.1 1
-2006 11 16     6.5     6.0     6.0 1
-2006 11 17     8.5     8.0     8.0 1
-2006 11 18     8.8     8.3     8.3 1
-2006 11 19     5.8     5.3     5.3 1
-2006 11 20     5.1     4.6     4.6 1
-2006 11 21     6.0     5.5     5.5 1
-2006 11 22     6.9     6.4     6.4 1
-2006 11 23     5.2     4.7     4.7 1
-2006 11 24     7.2     6.7     6.7 1
-2006 11 25     6.8     6.3     6.3 1
-2006 11 26     8.7     8.2     8.2 1
-2006 11 27     7.8     7.3     7.3 1
-2006 11 28     7.2     6.7     6.7 1
-2006 11 29     7.5     7.0     7.0 1
-2006 11 30     9.6     9.1     9.1 1
-2006 12  1     8.3     7.8     7.8 1
-2006 12  2     7.5     7.0     7.0 1
-2006 12  3     5.7     5.2     5.2 1
-2006 12  4     6.7     6.2     6.2 1
-2006 12  5     8.1     7.5     7.5 1
-2006 12  6     9.1     8.5     8.5 1
-2006 12  7     6.6     6.0     6.0 1
-2006 12  8     7.5     6.9     6.9 1
-2006 12  9     8.3     7.7     7.7 1
-2006 12 10     4.8     4.2     4.2 1
-2006 12 11     5.2     4.6     4.6 1
-2006 12 12     5.4     4.8     4.8 1
-2006 12 13     5.7     5.1     5.1 1
-2006 12 14     8.8     8.2     8.2 1
-2006 12 15     8.1     7.5     7.5 1
-2006 12 16     4.9     4.3     4.3 1
-2006 12 17     0.3    -0.3    -0.3 1
-2006 12 18    -0.9    -1.5    -1.5 1
-2006 12 19    -1.0    -1.6    -1.6 1
-2006 12 20     3.5     2.9     2.9 1
-2006 12 21     1.7     1.1     1.1 1
-2006 12 22     4.5     3.9     3.9 1
-2006 12 23     4.6     4.0     4.0 1
-2006 12 24     5.7     5.1     5.1 1
-2006 12 25     1.2     0.5     0.5 1
-2006 12 26     3.6     2.9     2.9 1
-2006 12 27     3.2     2.5     2.5 1
-2006 12 28     3.5     2.8     2.8 1
-2006 12 29     1.7     1.0     1.0 1
-2006 12 30     3.5     2.8     2.8 1
-2006 12 31     5.3     4.6     4.6 1
-2007  1  1     5.0     4.3     4.3 1
-2007  1  2     3.2     2.5     2.5 1
-2007  1  3     1.5     0.8     0.8 1
-2007  1  4     5.3     4.6     4.6 1
-2007  1  5     3.3     2.6     2.6 1
-2007  1  6     2.1     1.4     1.4 1
-2007  1  7     3.9     3.2     3.2 1
-2007  1  8     5.8     5.1     5.1 1
-2007  1  9     6.4     5.7     5.7 1
-2007  1 10     6.7     6.0     6.0 1
-2007  1 11     1.0     0.2     0.2 1
-2007  1 12     1.2     0.4     0.4 1
-2007  1 13     2.9     2.1     2.1 1
-2007  1 14     3.3     2.5     2.5 1
-2007  1 15     3.9     3.1     3.1 1
-2007  1 16     6.0     5.2     5.2 1
-2007  1 17     1.2     0.4     0.4 1
-2007  1 18     3.9     3.1     3.1 1
-2007  1 19    -1.6    -2.4    -2.4 1
-2007  1 20    -3.5    -4.3    -4.3 1
-2007  1 21    -1.4    -2.2    -2.2 1
-2007  1 22    -6.0    -6.8    -6.8 1
-2007  1 23    -6.2    -7.0    -7.0 1
-2007  1 24    -6.9    -7.7    -7.7 1
-2007  1 25    -7.5    -8.3    -8.3 1
-2007  1 26    -2.1    -2.9    -2.9 1
-2007  1 27    -5.8    -6.6    -6.6 1
-2007  1 28    -5.7    -6.5    -6.5 1
-2007  1 29    -5.5    -6.3    -6.3 1
-2007  1 30    -2.3    -3.1    -3.1 1
-2007  1 31     1.2     0.4     0.4 1
-2007  2  1     0.3    -0.5    -0.5 1
-2007  2  2     2.3     1.5     1.5 1
-2007  2  3     2.7     1.9     1.9 1
-2007  2  4     2.2     1.4     1.4 1
-2007  2  5     0.0    -0.8    -0.8 1
-2007  2  6    -5.5    -6.3    -6.3 1
-2007  2  7    -8.3    -9.1    -9.1 1
-2007  2  8    -3.9    -4.7    -4.7 1
-2007  2  9    -5.5    -6.3    -6.3 1
-2007  2 10    -8.5    -9.3    -9.3 1
-2007  2 11    -7.8    -8.6    -8.6 1
-2007  2 12    -2.2    -3.0    -3.0 1
-2007  2 13    -1.2    -2.0    -2.0 1
-2007  2 14    -0.8    -1.6    -1.6 1
-2007  2 15    -0.5    -1.3    -1.3 1
-2007  2 16     0.8    -0.1    -0.1 1
-2007  2 17     2.5     1.6     1.6 1
-2007  2 18     0.2    -0.7    -0.7 1
-2007  2 19    -2.6    -3.5    -3.5 1
-2007  2 20    -7.9    -8.8    -8.8 1
-2007  2 21   -12.8   -13.7   -13.7 1
-2007  2 22    -7.3    -8.2    -8.2 1
-2007  2 23    -6.0    -6.9    -6.9 1
-2007  2 24    -2.7    -3.6    -3.6 1
-2007  2 25    -1.9    -2.8    -2.8 1
-2007  2 26    -0.9    -1.8    -1.8 1
-2007  2 27    -1.3    -2.2    -2.2 1
-2007  2 28    -1.4    -2.3    -2.3 1
-2007  3  1     1.8     0.9     0.9 1
-2007  3  2     1.6     0.7     0.7 1
-2007  3  3     0.8    -0.1    -0.1 1
-2007  3  4     0.8    -0.1    -0.1 1
-2007  3  5     2.4     1.5     1.5 1
-2007  3  6     1.8     0.9     0.9 1
-2007  3  7     3.2     2.3     2.3 1
-2007  3  8     4.1     3.2     3.2 1
-2007  3  9     3.5     2.6     2.6 1
-2007  3 10     5.0     4.1     4.1 1
-2007  3 11     5.8     4.9     4.9 1
-2007  3 12     7.5     6.6     6.6 1
-2007  3 13     7.4     6.4     6.4 1
-2007  3 14     7.0     6.0     6.0 1
-2007  3 15     7.4     6.4     6.4 1
-2007  3 16     7.3     6.3     6.3 1
-2007  3 17     4.7     3.8     3.8 1
-2007  3 18     3.3     2.4     2.4 1
-2007  3 19     3.1     2.2     2.2 1
-2007  3 20     2.4     1.5     1.5 1
-2007  3 21     1.2     0.3     0.3 1
-2007  3 22     0.8    -0.1    -0.1 1
-2007  3 23     2.7     1.8     1.8 1
-2007  3 24     1.8     0.9     0.9 1
-2007  3 25     4.5     3.6     3.6 1
-2007  3 26     9.2     8.3     8.3 1
-2007  3 27    10.1     9.2     9.2 1
-2007  3 28     9.4     8.5     8.5 1
-2007  3 29     9.8     8.9     8.9 1
-2007  3 30     9.5     8.6     8.6 1
-2007  3 31     5.7     4.8     4.8 1
-2007  4  1     7.4     6.5     6.5 1
-2007  4  2     9.3     8.4     8.4 1
-2007  4  3     4.1     3.2     3.2 1
-2007  4  4     5.9     5.0     5.0 1
-2007  4  5     6.9     6.0     6.0 1
-2007  4  6     3.5     2.7     2.7 1
-2007  4  7     3.2     2.4     2.4 1
-2007  4  8     1.8     1.0     1.0 1
-2007  4  9     0.8     0.0     0.0 1
-2007  4 10     2.4     1.6     1.6 1
-2007  4 11     9.6     8.8     8.8 1
-2007  4 12     7.4     6.6     6.6 1
-2007  4 13    12.0    11.2    11.2 1
-2007  4 14    13.7    12.9    12.9 1
-2007  4 15    16.4    15.6    15.6 1
-2007  4 16    16.3    15.5    15.5 1
-2007  4 17     9.5     8.7     8.7 1
-2007  4 18     7.0     6.1     6.1 1
-2007  4 19     5.0     4.1     4.1 1
-2007  4 20     4.4     3.5     3.5 1
-2007  4 21     4.3     3.4     3.4 1
-2007  4 22     6.4     5.5     5.5 1
-2007  4 23     8.6     7.6     7.6 1
-2007  4 24    10.0     9.0     9.0 1
-2007  4 25    13.8    12.8    12.8 1
-2007  4 26    16.3    15.3    15.3 1
-2007  4 27    14.8    13.8    13.8 1
-2007  4 28     8.7     7.7     7.7 1
-2007  4 29     9.3     8.2     8.2 1
-2007  4 30     5.8     4.7     4.7 1
-2007  5  1     5.9     4.8     4.8 1
-2007  5  2     8.4     7.3     7.3 1
-2007  5  3     8.7     7.6     7.6 1
-2007  5  4     9.3     8.1     8.1 1
-2007  5  5     8.9     7.7     7.7 1
-2007  5  6    12.1    10.9    10.9 1
-2007  5  7    10.4     9.2     9.2 1
-2007  5  8    11.1     9.9     9.9 1
-2007  5  9    10.3     9.0     9.0 1
-2007  5 10     9.3     8.0     8.0 1
-2007  5 11     9.4     8.1     8.1 1
-2007  5 12     7.4     6.1     6.1 1
-2007  5 13     7.5     6.2     6.2 1
-2007  5 14    10.3     8.9     8.9 1
-2007  5 15    12.1    10.7    10.7 1
-2007  5 16    10.8     9.4     9.4 1
-2007  5 17    10.2     8.8     8.8 1
-2007  5 18    12.2    10.9    10.9 1
-2007  5 19    12.3    11.0    11.0 1
-2007  5 20    15.3    14.0    14.0 1
-2007  5 21    14.0    12.7    12.7 1
-2007  5 22    10.8     9.5     9.5 1
-2007  5 23    13.5    12.2    12.2 1
-2007  5 24    15.5    14.2    14.2 1
-2007  5 25    16.2    14.9    14.9 1
-2007  5 26    17.3    16.0    16.0 1
-2007  5 27    16.0    14.7    14.7 1
-2007  5 28    11.3    10.0    10.0 1
-2007  5 29    12.9    11.7    11.7 1
-2007  5 30    13.6    12.4    12.4 1
-2007  5 31    11.4    10.2    10.2 1
-2007  6  1    12.0    10.8    10.8 1
-2007  6  2    12.9    11.7    11.7 1
-2007  6  3    14.2    13.0    13.0 1
-2007  6  4    16.3    15.1    15.1 1
-2007  6  5    19.2    18.0    18.0 1
-2007  6  6    21.1    19.9    19.9 1
-2007  6  7    19.9    18.7    18.7 1
-2007  6  8    23.5    22.3    22.3 1
-2007  6  9    23.0    21.9    21.9 1
-2007  6 10    22.8    21.7    21.7 1
-2007  6 11    19.9    18.8    18.8 1
-2007  6 12    17.8    16.7    16.7 1
-2007  6 13    16.0    14.9    14.9 1
-2007  6 14    13.2    12.1    12.1 1
-2007  6 15    13.5    12.4    12.4 1
-2007  6 16    14.3    13.2    13.2 1
-2007  6 17    12.2    11.1    11.1 1
-2007  6 18    13.9    12.8    12.8 1
-2007  6 19    15.1    14.0    14.0 1
-2007  6 20    16.8    15.7    15.7 1
-2007  6 21    15.7    14.6    14.6 1
-2007  6 22    15.8    14.7    14.7 1
-2007  6 23    14.3    13.2    13.2 1
-2007  6 24    18.1    17.0    17.0 1
-2007  6 25    18.2    17.1    17.1 1
-2007  6 26    19.9    18.8    18.8 1
-2007  6 27    12.4    11.3    11.3 1
-2007  6 28    15.9    14.8    14.8 1
-2007  6 29    15.9    14.8    14.8 1
-2007  6 30    15.1    14.1    14.1 1
-2007  7  1    16.1    15.1    15.1 1
-2007  7  2    18.1    17.1    17.1 1
-2007  7  3    18.3    17.3    17.3 1
-2007  7  4    17.4    16.4    16.4 1
-2007  7  5    19.0    18.0    18.0 1
-2007  7  6    17.9    16.9    16.9 1
-2007  7  7    15.7    14.7    14.7 1
-2007  7  8    14.4    13.4    13.4 1
-2007  7  9    14.0    13.0    13.0 1
-2007  7 10    16.3    15.3    15.3 1
-2007  7 11    16.9    15.9    15.9 1
-2007  7 12    14.6    13.6    13.6 1
-2007  7 13    16.3    15.3    15.3 1
-2007  7 14    18.7    17.7    17.7 1
-2007  7 15    18.1    17.1    17.1 1
-2007  7 16    20.2    19.2    19.2 1
-2007  7 17    19.8    18.8    18.8 1
-2007  7 18    19.0    18.0    18.0 1
-2007  7 19    16.2    15.2    15.2 1
-2007  7 20    16.6    15.6    15.6 1
-2007  7 21    17.8    16.8    16.8 1
-2007  7 22    18.1    17.1    17.1 1
-2007  7 23    15.7    14.7    14.7 1
-2007  7 24    16.9    16.0    16.0 1
-2007  7 25    17.7    16.8    16.8 1
-2007  7 26    19.0    18.1    18.1 1
-2007  7 27    16.1    15.2    15.2 1
-2007  7 28    16.8    15.9    15.9 1
-2007  7 29    14.9    14.0    14.0 1
-2007  7 30    15.0    14.1    14.1 1
-2007  7 31    16.7    15.8    15.8 1
-2007  8  1    19.2    18.3    18.3 1
-2007  8  2    18.1    17.2    17.2 1
-2007  8  3    16.3    15.4    15.4 1
-2007  8  4    18.2    17.3    17.3 1
-2007  8  5    20.5    19.6    19.6 1
-2007  8  6    21.6    20.8    20.8 1
-2007  8  7    20.1    19.3    19.3 1
-2007  8  8    20.2    19.4    19.4 1
-2007  8  9    21.1    20.3    20.3 1
-2007  8 10    20.2    19.4    19.4 1
-2007  8 11    21.7    20.9    20.9 1
-2007  8 12    21.3    20.5    20.5 1
-2007  8 13    21.3    20.5    20.5 1
-2007  8 14    19.8    19.0    19.0 1
-2007  8 15    19.1    18.3    18.3 1
-2007  8 16    19.4    18.6    18.6 1
-2007  8 17    17.0    16.3    16.3 1
-2007  8 18    15.7    15.0    15.0 1
-2007  8 19    16.7    16.0    16.0 1
-2007  8 20    17.5    16.8    16.8 1
-2007  8 21    19.3    18.6    18.6 1
-2007  8 22    18.8    18.1    18.1 1
-2007  8 23    18.1    17.4    17.4 1
-2007  8 24    20.6    20.0    20.0 1
-2007  8 25    19.8    19.2    19.2 1
-2007  8 26    15.4    14.8    14.8 1
-2007  8 27    13.2    12.6    12.6 1
-2007  8 28    10.2     9.6     9.6 1
-2007  8 29    10.9    10.3    10.3 1
-2007  8 30    10.3     9.8     9.8 1
-2007  8 31    11.6    11.1    11.1 1
-2007  9  1    11.9    11.4    11.4 1
-2007  9  2    15.1    14.6    14.6 1
-2007  9  3    13.4    12.9    12.9 1
-2007  9  4     8.8     8.3     8.3 1
-2007  9  5    12.4    11.9    11.9 1
-2007  9  6    15.1    14.7    14.7 1
-2007  9  7    11.9    11.5    11.5 1
-2007  9  8    12.3    11.9    11.9 1
-2007  9  9    12.1    11.7    11.7 1
-2007  9 10    12.4    12.0    12.0 1
-2007  9 11    13.3    12.9    12.9 1
-2007  9 12    12.6    12.3    12.3 1
-2007  9 13    11.1    10.8    10.8 1
-2007  9 14    11.6    11.3    11.3 1
-2007  9 15    10.9    10.6    10.6 1
-2007  9 16     8.5     8.2     8.2 1
-2007  9 17    14.4    14.1    14.1 1
-2007  9 18    10.7    10.4    10.4 1
-2007  9 19     9.2     8.9     8.9 1
-2007  9 20    12.0    11.7    11.7 1
-2007  9 21    13.7    13.4    13.4 1
-2007  9 22    13.1    12.8    12.8 1
-2007  9 23    12.6    12.3    12.3 1
-2007  9 24    14.7    14.4    14.4 1
-2007  9 25    14.5    14.2    14.2 1
-2007  9 26    12.3    12.0    12.0 1
-2007  9 27     9.6     9.3     9.3 1
-2007  9 28     9.5     9.2     9.2 1
-2007  9 29    12.2    11.9    11.9 1
-2007  9 30    14.2    13.9    13.9 1
-2007 10  1    13.0    12.7    12.7 1
-2007 10  2    10.3    10.0    10.0 1
-2007 10  3    11.1    10.8    10.8 1
-2007 10  4    10.2     9.9     9.9 1
-2007 10  5     9.4     9.1     9.1 1
-2007 10  6     9.2     8.9     8.9 1
-2007 10  7    10.4    10.1    10.1 1
-2007 10  8     8.9     8.6     8.6 1
-2007 10  9     6.6     6.3     6.3 1
-2007 10 10     7.1     6.8     6.8 1
-2007 10 11     4.1     3.9     3.9 1
-2007 10 12     4.4     4.2     4.2 1
-2007 10 13     2.4     2.2     2.2 1
-2007 10 14     7.7     7.5     7.5 1
-2007 10 15    11.0    10.8    10.8 1
-2007 10 16    10.9    10.7    10.7 1
-2007 10 17    10.7    10.4    10.4 1
-2007 10 18     5.2     4.9     4.9 1
-2007 10 19     4.9     4.6     4.6 1
-2007 10 20     4.0     3.7     3.7 1
-2007 10 21     5.8     5.5     5.5 1
-2007 10 22     7.5     7.2     7.2 1
-2007 10 23     7.0     6.7     6.7 1
-2007 10 24     6.0     5.7     5.7 1
-2007 10 25     4.4     4.1     4.1 1
-2007 10 26     7.0     6.7     6.7 1
-2007 10 27     8.4     8.1     8.1 1
-2007 10 28     9.3     9.0     9.0 1
-2007 10 29     8.3     8.0     8.0 1
-2007 10 30     7.9     7.5     7.5 1
-2007 10 31     4.6     4.2     4.2 1
-2007 11  1    10.0     9.6     9.6 1
-2007 11  2     3.6     3.2     3.2 1
-2007 11  3     3.0     2.6     2.6 1
-2007 11  4     3.1     2.7     2.7 1
-2007 11  5     3.7     3.3     3.3 1
-2007 11  6     5.5     5.1     5.1 1
-2007 11  7     2.3     1.9     1.9 1
-2007 11  8     2.7     2.3     2.3 1
-2007 11  9     6.0     5.6     5.6 1
-2007 11 10    -0.3    -0.7    -0.7 1
-2007 11 11    -0.1    -0.5    -0.5 1
-2007 11 12     1.7     1.3     1.3 1
-2007 11 13     0.6     0.1     0.1 1
-2007 11 14    -0.3    -0.8    -0.8 1
-2007 11 15    -0.5    -1.0    -1.0 1
-2007 11 16     2.1     1.6     1.6 1
-2007 11 17     3.1     2.6     2.6 1
-2007 11 18     4.5     4.0     4.0 1
-2007 11 19     4.2     3.7     3.7 1
-2007 11 20     1.5     1.0     1.0 1
-2007 11 21     3.8     3.3     3.3 1
-2007 11 22     4.3     3.8     3.8 1
-2007 11 23     3.2     2.7     2.7 1
-2007 11 24    -1.6    -2.1    -2.1 1
-2007 11 25     2.3     1.8     1.8 1
-2007 11 26    -0.3    -0.8    -0.8 1
-2007 11 27    -1.1    -1.6    -1.6 1
-2007 11 28    -1.6    -2.1    -2.1 1
-2007 11 29     3.6     3.1     3.1 1
-2007 11 30     3.4     2.9     2.9 1
-2007 12  1     3.4     2.9     2.9 1
-2007 12  2     5.1     4.6     4.6 1
-2007 12  3     3.8     3.3     3.3 1
-2007 12  4     2.1     1.6     1.6 1
-2007 12  5     3.6     3.0     3.0 1
-2007 12  6     7.8     7.2     7.2 1
-2007 12  7     6.1     5.5     5.5 1
-2007 12  8     4.4     3.8     3.8 1
-2007 12  9     3.2     2.6     2.6 1
-2007 12 10     4.6     4.0     4.0 1
-2007 12 11     2.6     2.0     2.0 1
-2007 12 12     0.1    -0.5    -0.5 1
-2007 12 13    -2.4    -3.0    -3.0 1
-2007 12 14    -0.6    -1.2    -1.2 1
-2007 12 15    -2.6    -3.2    -3.2 1
-2007 12 16    -1.5    -2.1    -2.1 1
-2007 12 17    -3.1    -3.7    -3.7 1
-2007 12 18    -2.1    -2.7    -2.7 1
-2007 12 19    -3.4    -4.0    -4.0 1
-2007 12 20    -0.5    -1.1    -1.1 1
-2007 12 21    -1.9    -2.5    -2.5 1
-2007 12 22    -2.7    -3.3    -3.3 1
-2007 12 23    -0.2    -0.8    -0.8 1
-2007 12 24     2.4     1.8     1.8 1
-2007 12 25     3.3     2.6     2.6 1
-2007 12 26     3.6     2.9     2.9 1
-2007 12 27     3.9     3.2     3.2 1
-2007 12 28     5.3     4.6     4.6 1
-2007 12 29     5.7     5.0     5.0 1
-2007 12 30     4.1     3.4     3.4 1
-2007 12 31     0.7     0.0     0.0 1
-2008  1  1     0.9     0.2     0.2 1
-2008  1  2     0.3    -0.4    -0.4 1
-2008  1  3    -1.2    -1.9    -1.9 1
-2008  1  4    -1.7    -2.4    -2.4 1
-2008  1  5    -1.5    -2.2    -2.2 1
-2008  1  6     0.2    -0.5    -0.5 1
-2008  1  7     1.8     1.1     1.1 1
-2008  1  8     2.1     1.4     1.4 1
-2008  1  9     2.7     2.0     2.0 1
-2008  1 10     2.5     1.8     1.8 1
-2008  1 11     5.1     4.3     4.3 1
-2008  1 12     4.1     3.3     3.3 1
-2008  1 13     2.3     1.5     1.5 1
-2008  1 14     4.4     3.6     3.6 1
-2008  1 15     4.1     3.3     3.3 1
-2008  1 16     4.7     3.9     3.9 1
-2008  1 17     4.8     4.0     4.0 1
-2008  1 18     4.0     3.2     3.2 1
-2008  1 19     5.0     4.2     4.2 1
-2008  1 20     3.4     2.6     2.6 1
-2008  1 21     1.2     0.4     0.4 1
-2008  1 22    -1.0    -1.8    -1.8 1
-2008  1 23    -2.7    -3.5    -3.5 1
-2008  1 24     4.2     3.4     3.4 1
-2008  1 25     4.0     3.2     3.2 1
-2008  1 26     3.1     2.3     2.3 1
-2008  1 27     1.4     0.6     0.6 1
-2008  1 28     0.8     0.0     0.0 1
-2008  1 29     5.9     5.1     5.1 1
-2008  1 30     2.5     1.7     1.7 1
-2008  1 31     1.1     0.3     0.3 1
-2008  2  1     3.0     2.2     2.2 1
-2008  2  2     1.1     0.3     0.3 1
-2008  2  3     0.8     0.0     0.0 1
-2008  2  4     2.3     1.5     1.5 1
-2008  2  5     2.5     1.7     1.7 1
-2008  2  6     3.7     2.9     2.9 1
-2008  2  7     2.8     2.0     2.0 1
-2008  2  8     3.5     2.7     2.7 1
-2008  2  9     5.0     4.2     4.2 1
-2008  2 10     3.8     3.0     3.0 1
-2008  2 11     2.9     2.1     2.1 1
-2008  2 12     0.7    -0.1    -0.1 1
-2008  2 13     3.4     2.6     2.6 1
-2008  2 14    -0.3    -1.1    -1.1 1
-2008  2 15    -3.5    -4.3    -4.3 1
-2008  2 16    -2.3    -3.2    -3.2 1
-2008  2 17     4.3     3.4     3.4 1
-2008  2 18     5.5     4.6     4.6 1
-2008  2 19     1.7     0.8     0.8 1
-2008  2 20     0.6    -0.3    -0.3 1
-2008  2 21     2.9     2.0     2.0 1
-2008  2 22     7.0     6.1     6.1 1
-2008  2 23     4.8     3.9     3.9 1
-2008  2 24     6.7     5.8     5.8 1
-2008  2 25     5.2     4.3     4.3 1
-2008  2 26     3.7     2.8     2.8 1
-2008  2 27     5.6     4.7     4.7 1
-2008  2 28     3.7     2.8     2.8 1
-2008  2 29     4.2     3.3     3.3 1
-2008  3  1     2.4     1.5     1.5 1
-2008  3  2     1.1     0.2     0.2 1
-2008  3  3     0.4    -0.5    -0.5 1
-2008  3  4    -0.4    -1.3    -1.3 1
-2008  3  5    -0.6    -1.5    -1.5 1
-2008  3  6     4.2     3.3     3.3 1
-2008  3  7     2.7     1.8     1.8 1
-2008  3  8     5.3     4.4     4.4 1
-2008  3  9     5.0     4.1     4.1 1
-2008  3 10     5.1     4.2     4.2 1
-2008  3 11     5.4     4.5     4.5 1
-2008  3 12     4.5     3.6     3.6 1
-2008  3 13     2.9     1.9     1.9 1
-2008  3 14     2.3     1.3     1.3 1
-2008  3 15     2.0     1.0     1.0 1
-2008  3 16     3.1     2.1     2.1 1
-2008  3 17     1.6     0.7     0.7 1
-2008  3 18     0.3    -0.6    -0.6 1
-2008  3 19    -0.3    -1.2    -1.2 1
-2008  3 20    -2.0    -2.9    -2.9 1
-2008  3 21    -2.6    -3.5    -3.5 1
-2008  3 22    -4.5    -5.4    -5.4 1
-2008  3 23    -4.4    -5.3    -5.3 1
-2008  3 24    -2.4    -3.3    -3.3 1
-2008  3 25     0.0    -0.9    -0.9 1
-2008  3 26    -0.6    -1.5    -1.5 1
-2008  3 27     0.7    -0.2    -0.2 1
-2008  3 28     1.8     0.9     0.9 1
-2008  3 29     5.0     4.1     4.1 1
-2008  3 30     7.0     6.1     6.1 1
-2008  3 31     8.0     7.1     7.1 1
-2008  4  1     7.5     6.6     6.6 1
-2008  4  2     7.1     6.2     6.2 1
-2008  4  3     4.6     3.7     3.7 1
-2008  4  4     6.0     5.1     5.1 1
-2008  4  5     8.0     7.1     7.1 1
-2008  4  6     5.2     4.4     4.4 1
-2008  4  7     5.9     5.1     5.1 1
-2008  4  8     2.1     1.3     1.3 1
-2008  4  9     1.7     0.9     0.9 1
-2008  4 10     3.9     3.1     3.1 1
-2008  4 11     3.1     2.3     2.3 1
-2008  4 12     4.0     3.2     3.2 1
-2008  4 13     2.8     2.0     2.0 1
-2008  4 14     5.4     4.6     4.6 1
-2008  4 15     6.8     6.0     6.0 1
-2008  4 16     5.4     4.6     4.6 1
-2008  4 17     5.6     4.8     4.8 1
-2008  4 18     6.1     5.2     5.2 1
-2008  4 19     6.6     5.7     5.7 1
-2008  4 20     6.7     5.8     5.8 1
-2008  4 21     8.7     7.8     7.8 1
-2008  4 22     6.8     5.9     5.9 1
-2008  4 23     9.7     8.7     8.7 1
-2008  4 24    11.9    10.9    10.9 1
-2008  4 25    13.1    12.1    12.1 1
-2008  4 26    13.5    12.5    12.5 1
-2008  4 27    13.0    12.0    12.0 1
-2008  4 28    14.1    13.1    13.1 1
-2008  4 29    13.6    12.5    12.5 1
-2008  4 30    12.7    11.6    11.6 1
-2008  5  1    11.2    10.1    10.1 1
-2008  5  2    10.1     9.0     9.0 1
-2008  5  3    12.8    11.7    11.7 1
-2008  5  4    14.3    13.1    13.1 1
-2008  5  5    11.9    10.7    10.7 1
-2008  5  6    10.6     9.4     9.4 1
-2008  5  7    11.6    10.4    10.4 1
-2008  5  8    13.1    11.9    11.9 1
-2008  5  9    16.2    14.9    14.9 1
-2008  5 10    18.2    16.9    16.9 1
-2008  5 11    19.2    17.9    17.9 1
-2008  5 12     9.5     8.2     8.2 1
-2008  5 13     7.4     6.1     6.1 1
-2008  5 14     6.6     5.2     5.2 1
-2008  5 15     6.9     5.5     5.5 1
-2008  5 16     6.0     4.6     4.6 1
-2008  5 17     7.4     6.0     6.0 1
-2008  5 18     5.4     4.1     4.1 1
-2008  5 19     8.2     6.9     6.9 1
-2008  5 20     8.1     6.8     6.8 1
-2008  5 21    10.7     9.4     9.4 1
-2008  5 22    11.3    10.0    10.0 1
-2008  5 23    11.1     9.8     9.8 1
-2008  5 24    11.8    10.5    10.5 1
-2008  5 25    12.5    11.2    11.2 1
-2008  5 26    15.3    14.0    14.0 1
-2008  5 27    12.8    11.5    11.5 1
-2008  5 28    14.8    13.5    13.5 1
-2008  5 29    18.1    16.9    16.9 1
-2008  5 30    19.6    18.4    18.4 1
-2008  5 31    18.9    17.7    17.7 1
-2008  6  1    19.7    18.5    18.5 1
-2008  6  2    18.5    17.3    17.3 1
-2008  6  3    17.0    15.8    15.8 1
-2008  6  4    17.2    16.0    16.0 1
-2008  6  5    19.7    18.5    18.5 1
-2008  6  6    21.6    20.4    20.4 1
-2008  6  7    19.3    18.1    18.1 1
-2008  6  8    21.5    20.3    20.3 1
-2008  6  9    19.7    18.6    18.6 1
-2008  6 10    17.9    16.8    16.8 1
-2008  6 11    12.0    10.9    10.9 1
-2008  6 12    11.3    10.2    10.2 1
-2008  6 13    13.6    12.5    12.5 1
-2008  6 14    12.1    11.0    11.0 1
-2008  6 15    14.2    13.1    13.1 1
-2008  6 16    14.0    12.9    12.9 1
-2008  6 17    15.2    14.1    14.1 1
-2008  6 18    15.7    14.6    14.6 1
-2008  6 19    16.9    15.8    15.8 1
-2008  6 20    17.1    16.0    16.0 1
-2008  6 21    14.9    13.8    13.8 1
-2008  6 22    16.0    14.9    14.9 1
-2008  6 23    16.0    14.9    14.9 1
-2008  6 24    15.0    13.9    13.9 1
-2008  6 25    14.9    13.8    13.8 1
-2008  6 26    16.9    15.8    15.8 1
-2008  6 27    17.2    16.1    16.1 1
-2008  6 28    16.5    15.4    15.4 1
-2008  6 29    17.9    16.8    16.8 1
-2008  6 30    15.4    14.4    14.4 1
-2008  7  1    18.5    17.5    17.5 1
-2008  7  2    18.0    17.0    17.0 1
-2008  7  3    19.3    18.3    18.3 1
-2008  7  4    21.3    20.3    20.3 1
-2008  7  5    17.9    16.9    16.9 1
-2008  7  6    14.0    13.0    13.0 1
-2008  7  7    11.7    10.7    10.7 1
-2008  7  8    13.4    12.4    12.4 1
-2008  7  9    16.2    15.2    15.2 1
-2008  7 10    20.0    19.0    19.0 1
-2008  7 11    18.0    17.0    17.0 1
-2008  7 12    18.7    17.7    17.7 1
-2008  7 13    18.3    17.3    17.3 1
-2008  7 14    17.6    16.6    16.6 1
-2008  7 15    18.9    17.9    17.9 1
-2008  7 16    18.5    17.5    17.5 1
-2008  7 17    15.8    14.8    14.8 1
-2008  7 18    16.8    15.8    15.8 1
-2008  7 19    17.3    16.3    16.3 1
-2008  7 20    18.7    17.7    17.7 1
-2008  7 21    17.5    16.5    16.5 1
-2008  7 22    18.8    17.8    17.8 1
-2008  7 23    20.5    19.5    19.5 1
-2008  7 24    22.0    21.1    21.1 1
-2008  7 25    22.0    21.1    21.1 1
-2008  7 26    24.2    23.3    23.3 1
-2008  7 27    23.7    22.8    22.8 1
-2008  7 28    21.9    21.0    21.0 1
-2008  7 29    20.9    20.0    20.0 1
-2008  7 30    20.0    19.1    19.1 1
-2008  7 31    22.4    21.5    21.5 1
-2008  8  1    22.6    21.7    21.7 1
-2008  8  2    17.8    16.9    16.9 1
-2008  8  3    18.9    18.0    18.0 1
-2008  8  4    17.2    16.3    16.3 1
-2008  8  5    12.7    11.8    11.8 1
-2008  8  6    14.8    14.0    14.0 1
-2008  8  7    15.4    14.6    14.6 1
-2008  8  8    15.8    15.0    15.0 1
-2008  8  9    15.4    14.6    14.6 1
-2008  8 10    15.3    14.5    14.5 1
-2008  8 11    18.0    17.2    17.2 1
-2008  8 12    18.3    17.5    17.5 1
-2008  8 13    19.1    18.3    18.3 1
-2008  8 14    17.1    16.3    16.3 1
-2008  8 15    17.2    16.4    16.4 1
-2008  8 16    16.0    15.2    15.2 1
-2008  8 17    13.7    13.0    13.0 1
-2008  8 18    15.6    14.9    14.9 1
-2008  8 19    17.1    16.4    16.4 1
-2008  8 20    18.7    18.0    18.0 1
-2008  8 21    16.3    15.6    15.6 1
-2008  8 22    15.5    14.8    14.8 1
-2008  8 23    14.7    14.0    14.0 1
-2008  8 24    14.3    13.7    13.7 1
-2008  8 25    15.0    14.4    14.4 1
-2008  8 26    14.8    14.2    14.2 1
-2008  8 27    16.4    15.8    15.8 1
-2008  8 28    15.6    15.0    15.0 1
-2008  8 29    12.3    11.7    11.7 1
-2008  8 30    13.5    13.0    13.0 1
-2008  8 31    12.3    11.8    11.8 1
-2008  9  1    12.5    12.0    12.0 1
-2008  9  2    15.2    14.7    14.7 1
-2008  9  3    16.3    15.8    15.8 1
-2008  9  4    15.1    14.6    14.6 1
-2008  9  5    15.5    15.0    15.0 1
-2008  9  6    12.4    12.0    12.0 1
-2008  9  7    13.8    13.4    13.4 1
-2008  9  8    12.9    12.5    12.5 1
-2008  9  9    10.8    10.4    10.4 1
-2008  9 10    11.2    10.8    10.8 1
-2008  9 11    11.3    10.9    10.9 1
-2008  9 12     9.6     9.3     9.3 1
-2008  9 13     8.2     7.9     7.9 1
-2008  9 14     9.3     9.0     9.0 1
-2008  9 15     8.7     8.4     8.4 1
-2008  9 16     8.8     8.5     8.5 1
-2008  9 17     8.5     8.2     8.2 1
-2008  9 18     8.5     8.2     8.2 1
-2008  9 19    10.8    10.5    10.5 1
-2008  9 20    12.5    12.2    12.2 1
-2008  9 21    10.1     9.8     9.8 1
-2008  9 22    10.9    10.6    10.6 1
-2008  9 23    11.7    11.4    11.4 1
-2008  9 24    12.2    11.9    11.9 1
-2008  9 25    13.1    12.8    12.8 1
-2008  9 26    11.9    11.6    11.6 1
-2008  9 27    12.2    11.9    11.9 1
-2008  9 28    11.4    11.1    11.1 1
-2008  9 29     9.3     9.0     9.0 1
-2008  9 30     8.6     8.3     8.3 1
-2008 10  1     9.3     9.0     9.0 1
-2008 10  2     8.8     8.5     8.5 1
-2008 10  3     8.8     8.5     8.5 1
-2008 10  4     9.3     9.0     9.0 1
-2008 10  5     8.4     8.1     8.1 1
-2008 10  6     9.0     8.7     8.7 1
-2008 10  7     7.9     7.6     7.6 1
-2008 10  8     8.5     8.2     8.2 1
-2008 10  9     9.9     9.6     9.6 1
-2008 10 10    11.1    10.9    10.9 1
-2008 10 11    12.5    12.3    12.3 1
-2008 10 12    10.7    10.5    10.5 1
-2008 10 13    10.6    10.4    10.4 1
-2008 10 14    11.0    10.8    10.8 1
-2008 10 15     8.2     8.0     8.0 1
-2008 10 16     8.9     8.7     8.7 1
-2008 10 17     6.7     6.4     6.4 1
-2008 10 18     6.1     5.8     5.8 1
-2008 10 19     8.6     8.3     8.3 1
-2008 10 20     9.3     9.0     9.0 1
-2008 10 21    10.6    10.3    10.3 1
-2008 10 22     8.1     7.8     7.8 1
-2008 10 23     7.5     7.2     7.2 1
-2008 10 24     9.8     9.5     9.5 1
-2008 10 25     8.5     8.2     8.2 1
-2008 10 26     8.8     8.5     8.5 1
-2008 10 27     7.3     7.0     7.0 1
-2008 10 28     4.2     3.9     3.9 1
-2008 10 29     4.6     4.3     4.3 1
-2008 10 30     2.2     1.8     1.8 1
-2008 10 31     4.0     3.6     3.6 1
-2008 11  1     0.9     0.5     0.5 1
-2008 11  2     2.7     2.3     2.3 1
-2008 11  3     4.4     4.0     4.0 1
-2008 11  4     4.9     4.5     4.5 1
-2008 11  5     3.1     2.7     2.7 1
-2008 11  6     4.1     3.7     3.7 1
-2008 11  7     5.2     4.8     4.8 1
-2008 11  8     7.6     7.2     7.2 1
-2008 11  9     8.2     7.8     7.8 1
-2008 11 10     6.9     6.5     6.5 1
-2008 11 11     6.7     6.3     6.3 1
-2008 11 12     6.7     6.3     6.3 1
-2008 11 13     5.2     4.7     4.7 1
-2008 11 14     5.4     4.9     4.9 1
-2008 11 15     8.5     8.0     8.0 1
-2008 11 16     3.0     2.5     2.5 1
-2008 11 17     0.5     0.0     0.0 1
-2008 11 18     2.5     2.0     2.0 1
-2008 11 19     1.0     0.5     0.5 1
-2008 11 20     0.1    -0.4    -0.4 1
-2008 11 21    -1.9    -2.4    -2.4 1
-2008 11 22    -2.1    -2.6    -2.6 1
-2008 11 23    -2.6    -3.1    -3.1 1
-2008 11 24    -2.3    -2.8    -2.8 1
-2008 11 25    -1.4    -1.9    -1.9 1
-2008 11 26     0.3    -0.2    -0.2 1
-2008 11 27     6.5     6.0     6.0 1
-2008 11 28     6.3     5.8     5.8 1
-2008 11 29     5.0     4.5     4.5 1
-2008 11 30     4.2     3.7     3.7 1
-2008 12  1     3.0     2.5     2.5 1
-2008 12  2     5.3     4.8     4.8 1
-2008 12  3     3.7     3.2     3.2 1
-2008 12  4     1.9     1.4     1.4 1
-2008 12  5     3.1     2.5     2.5 1
-2008 12  6     3.6     3.0     3.0 1
-2008 12  7     0.8     0.2     0.2 1
-2008 12  8     2.2     1.6     1.6 1
-2008 12  9     3.2     2.6     2.6 1
-2008 12 10     0.9     0.3     0.3 1
-2008 12 11     1.6     1.0     1.0 1
-2008 12 12     3.7     3.1     3.1 1
-2008 12 13     0.0    -0.6    -0.6 1
-2008 12 14     2.9     2.3     2.3 1
-2008 12 15     3.2     2.6     2.6 1
-2008 12 16     2.9     2.3     2.3 1
-2008 12 17     4.3     3.7     3.7 1
-2008 12 18     3.2     2.6     2.6 1
-2008 12 19     4.4     3.8     3.8 1
-2008 12 20     3.0     2.4     2.4 1
-2008 12 21     1.2     0.6     0.6 1
-2008 12 22     2.9     2.3     2.3 1
-2008 12 23    -0.5    -1.1    -1.1 1
-2008 12 24    -1.8    -2.4    -2.4 1
-2008 12 25    -1.8    -2.5    -2.5 1
-2008 12 26    -0.6    -1.3    -1.3 1
-2008 12 27    -1.1    -1.8    -1.8 1
-2008 12 28    -2.3    -3.0    -3.0 1
-2008 12 29    -3.4    -4.1    -4.1 1
-2008 12 30    -1.9    -2.6    -2.6 1
-2008 12 31    -1.7    -2.4    -2.4 1
-2009  1  1    -4.8    -5.5    -5.5 1
-2009  1  2    -6.3    -7.0    -7.0 1
-2009  1  3    -4.7    -5.4    -5.4 1
-2009  1  4    -9.9   -10.6   -10.6 1
-2009  1  5    -9.3   -10.0   -10.0 1
-2009  1  6    -2.6    -3.3    -3.3 1
-2009  1  7    -6.0    -6.7    -6.7 1
-2009  1  8    -4.1    -4.8    -4.8 1
-2009  1  9     3.1     2.4     2.4 1
-2009  1 10     1.6     0.9     0.9 1
-2009  1 11     2.6     1.8     1.8 1
-2009  1 12     5.3     4.5     4.5 1
-2009  1 13     4.6     3.8     3.8 1
-2009  1 14     2.1     1.3     1.3 1
-2009  1 15    -2.7    -3.5    -3.5 1
-2009  1 16    -6.6    -7.4    -7.4 1
-2009  1 17    -2.9    -3.7    -3.7 1
-2009  1 18    -0.9    -1.7    -1.7 1
-2009  1 19     0.1    -0.7    -0.7 1
-2009  1 20     1.9     1.1     1.1 1
-2009  1 21     0.5    -0.3    -0.3 1
-2009  1 22     0.6    -0.2    -0.2 1
-2009  1 23     1.1     0.3     0.3 1
-2009  1 24     1.5     0.7     0.7 1
-2009  1 25     2.2     1.4     1.4 1
-2009  1 26     1.2     0.4     0.4 1
-2009  1 27    -0.2    -1.0    -1.0 1
-2009  1 28     0.5    -0.3    -0.3 1
-2009  1 29    -1.1    -1.9    -1.9 1
-2009  1 30    -1.4    -2.2    -2.2 1
-2009  1 31    -1.9    -2.7    -2.7 1
-2009  2  1    -3.7    -4.5    -4.5 1
-2009  2  2    -1.6    -2.4    -2.4 1
-2009  2  3    -1.4    -2.2    -2.2 1
-2009  2  4    -1.1    -1.9    -1.9 1
-2009  2  5    -0.3    -1.1    -1.1 1
-2009  2  6     1.0     0.2     0.2 1
-2009  2  7     1.7     0.9     0.9 1
-2009  2  8     0.7    -0.1    -0.1 1
-2009  2  9    -1.8    -2.6    -2.6 1
-2009  2 10    -1.1    -1.9    -1.9 1
-2009  2 11    -0.8    -1.6    -1.6 1
-2009  2 12    -1.8    -2.6    -2.6 1
-2009  2 13    -3.0    -3.8    -3.8 1
-2009  2 14    -5.4    -6.2    -6.2 1
-2009  2 15    -3.6    -4.4    -4.4 1
-2009  2 16    -4.0    -4.9    -4.9 1
-2009  2 17    -4.2    -5.1    -5.1 1
-2009  2 18    -4.6    -5.5    -5.5 1
-2009  2 19    -4.4    -5.3    -5.3 1
-2009  2 20    -3.8    -4.7    -4.7 1
-2009  2 21    -3.7    -4.6    -4.6 1
-2009  2 22    -0.5    -1.4    -1.4 1
-2009  2 23    -1.6    -2.5    -2.5 1
-2009  2 24    -0.3    -1.2    -1.2 1
-2009  2 25     0.9     0.0     0.0 1
-2009  2 26     2.2     1.3     1.3 1
-2009  2 27    -0.2    -1.1    -1.1 1
-2009  2 28    -3.6    -4.5    -4.5 1
-2009  3  1    -4.0    -4.9    -4.9 1
-2009  3  2     0.2    -0.7    -0.7 1
-2009  3  3     2.1     1.2     1.2 1
-2009  3  4     2.5     1.6     1.6 1
-2009  3  5     1.5     0.6     0.6 1
-2009  3  6     1.2     0.3     0.3 1
-2009  3  7     0.7    -0.2    -0.2 1
-2009  3  8     1.2     0.3     0.3 1
-2009  3  9     1.1     0.2     0.2 1
-2009  3 10    -0.8    -1.7    -1.7 1
-2009  3 11    -1.2    -2.1    -2.1 1
-2009  3 12    -0.6    -1.5    -1.5 1
-2009  3 13     1.5     0.5     0.5 1
-2009  3 14     2.2     1.2     1.2 1
-2009  3 15     2.8     1.8     1.8 1
-2009  3 16     2.8     1.8     1.8 1
-2009  3 17     4.0     3.1     3.1 1
-2009  3 18     2.4     1.5     1.5 1
-2009  3 19    -0.1    -1.0    -1.0 1
-2009  3 20     1.8     0.9     0.9 1
-2009  3 21     3.4     2.5     2.5 1
-2009  3 22     0.2    -0.7    -0.7 1
-2009  3 23    -0.7    -1.6    -1.6 1
-2009  3 24    -3.0    -3.9    -3.9 1
-2009  3 25    -2.7    -3.6    -3.6 1
-2009  3 26    -1.1    -2.0    -2.0 1
-2009  3 27    -0.2    -1.1    -1.1 1
-2009  3 28     1.7     0.8     0.8 1
-2009  3 29     1.9     1.0     1.0 1
-2009  3 30     3.7     2.8     2.8 1
-2009  3 31     7.1     6.2     6.2 1
-2009  4  1     5.3     4.4     4.4 1
-2009  4  2     7.9     7.0     7.0 1
-2009  4  3     8.5     7.6     7.6 1
-2009  4  4    10.1     9.2     9.2 1
-2009  4  5     7.9     7.0     7.0 1
-2009  4  6     8.7     7.9     7.9 1
-2009  4  7     4.4     3.6     3.6 1
-2009  4  8     4.7     3.9     3.9 1
-2009  4  9     7.2     6.4     6.4 1
-2009  4 10    10.0     9.2     9.2 1
-2009  4 11    12.3    11.5    11.5 1
-2009  4 12    10.1     9.3     9.3 1
-2009  4 13     9.5     8.7     8.7 1
-2009  4 14     7.7     6.9     6.9 1
-2009  4 15     6.7     5.9     5.9 1
-2009  4 16     4.6     3.8     3.8 1
-2009  4 17     7.9     7.1     7.1 1
-2009  4 18     4.2     3.3     3.3 1
-2009  4 19     6.4     5.5     5.5 1
-2009  4 20     4.9     4.0     4.0 1
-2009  4 21     3.4     2.5     2.5 1
-2009  4 22     5.9     5.0     5.0 1
-2009  4 23     9.6     8.6     8.6 1
-2009  4 24    13.3    12.3    12.3 1
-2009  4 25    13.4    12.4    12.4 1
-2009  4 26    13.6    12.6    12.6 1
-2009  4 27    13.1    12.1    12.1 1
-2009  4 28    14.4    13.4    13.4 1
-2009  4 29    10.4     9.3     9.3 1
-2009  4 30     9.0     7.9     7.9 1
-2009  5  1    10.5     9.4     9.4 1
-2009  5  2    12.3    11.2    11.2 1
-2009  5  3    13.4    12.3    12.3 1
-2009  5  4     9.6     8.4     8.4 1
-2009  5  5     8.9     7.7     7.7 1
-2009  5  6     9.5     8.3     8.3 1
-2009  5  7    10.7     9.5     9.5 1
-2009  5  8    11.0     9.8     9.8 1
-2009  5  9    10.8     9.5     9.5 1
-2009  5 10    12.6    11.3    11.3 1
-2009  5 11    10.1     8.8     8.8 1
-2009  5 12     9.5     8.2     8.2 1
-2009  5 13    10.6     9.3     9.3 1
-2009  5 14     9.0     7.6     7.6 1
-2009  5 15     9.9     8.5     8.5 1
-2009  5 16     9.9     8.5     8.5 1
-2009  5 17    10.8     9.4     9.4 1
-2009  5 18     8.9     7.6     7.6 1
-2009  5 19    10.9     9.6     9.6 1
-2009  5 20    12.6    11.3    11.3 1
-2009  5 21    13.1    11.8    11.8 1
-2009  5 22    11.0     9.7     9.7 1
-2009  5 23    12.3    11.0    11.0 1
-2009  5 24    14.0    12.7    12.7 1
-2009  5 25    16.8    15.5    15.5 1
-2009  5 26    16.1    14.8    14.8 1
-2009  5 27    15.8    14.5    14.5 1
-2009  5 28    10.9     9.6     9.6 1
-2009  5 29    13.9    12.7    12.7 1
-2009  5 30    17.3    16.1    16.1 1
-2009  5 31    19.5    18.3    18.3 1
-2009  6  1    18.7    17.5    17.5 1
-2009  6  2    10.6     9.4     9.4 1
-2009  6  3    10.5     9.3     9.3 1
-2009  6  4     7.6     6.4     6.4 1
-2009  6  5     7.2     6.0     6.0 1
-2009  6  6     8.2     7.0     7.0 1
-2009  6  7    10.6     9.4     9.4 1
-2009  6  8    10.6     9.4     9.4 1
-2009  6  9    11.0     9.9     9.9 1
-2009  6 10    10.5     9.4     9.4 1
-2009  6 11    14.1    13.0    13.0 1
-2009  6 12    11.2    10.1    10.1 1
-2009  6 13    11.5    10.4    10.4 1
-2009  6 14    10.2     9.1     9.1 1
-2009  6 15     9.9     8.8     8.8 1
-2009  6 16    12.5    11.4    11.4 1
-2009  6 17    12.9    11.8    11.8 1
-2009  6 18    12.5    11.4    11.4 1
-2009  6 19    13.8    12.7    12.7 1
-2009  6 20    12.9    11.8    11.8 1
-2009  6 21    15.3    14.2    14.2 1
-2009  6 22    15.4    14.3    14.3 1
-2009  6 23    17.6    16.5    16.5 1
-2009  6 24    18.8    17.7    17.7 1
-2009  6 25    18.2    17.1    17.1 1
-2009  6 26    19.2    18.1    18.1 1
-2009  6 27    20.1    19.0    19.0 1
-2009  6 28    22.0    20.9    20.9 1
-2009  6 29    23.2    22.1    22.1 1
-2009  6 30    22.2    21.2    21.2 1
-2009  7  1    21.5    20.5    20.5 1
-2009  7  2    23.7    22.7    22.7 1
-2009  7  3    21.4    20.4    20.4 1
-2009  7  4    17.6    16.6    16.6 1
-2009  7  5    14.0    13.0    13.0 1
-2009  7  6    14.3    13.3    13.3 1
-2009  7  7    15.1    14.1    14.1 1
-2009  7  8    17.2    16.2    16.2 1
-2009  7  9    14.1    13.1    13.1 1
-2009  7 10    15.2    14.2    14.2 1
-2009  7 11    15.8    14.8    14.8 1
-2009  7 12    16.9    15.9    15.9 1
-2009  7 13    17.5    16.5    16.5 1
-2009  7 14    17.3    16.3    16.3 1
-2009  7 15    19.6    18.6    18.6 1
-2009  7 16    20.5    19.5    19.5 1
-2009  7 17    19.9    18.9    18.9 1
-2009  7 18    19.9    18.9    18.9 1
-2009  7 19    19.2    18.2    18.2 1
-2009  7 20    17.4    16.4    16.4 1
-2009  7 21    16.3    15.3    15.3 1
-2009  7 22    17.4    16.4    16.4 1
-2009  7 23    18.0    17.0    17.0 1
-2009  7 24    18.9    18.0    18.0 1
-2009  7 25    17.7    16.8    16.8 1
-2009  7 26    16.8    15.9    15.9 1
-2009  7 27    17.5    16.6    16.6 1
-2009  7 28    19.0    18.1    18.1 1
-2009  7 29    17.9    17.0    17.0 1
-2009  7 30    17.7    16.8    16.8 1
-2009  7 31    16.6    15.7    15.7 1
-2009  8  1    16.1    15.2    15.2 1
-2009  8  2    18.1    17.2    17.2 1
-2009  8  3    18.8    17.9    17.9 1
-2009  8  4    19.0    18.1    18.1 1
-2009  8  5    20.8    19.9    19.9 1
-2009  8  6    21.4    20.6    20.6 1
-2009  8  7    21.8    21.0    21.0 1
-2009  8  8    21.0    20.2    20.2 1
-2009  8  9    21.1    20.3    20.3 1
-2009  8 10    20.5    19.7    19.7 1
-2009  8 11    18.5    17.7    17.7 1
-2009  8 12    16.9    16.1    16.1 1
-2009  8 13    15.2    14.4    14.4 1
-2009  8 14    14.5    13.7    13.7 1
-2009  8 15    15.7    14.9    14.9 1
-2009  8 16    17.5    16.7    16.7 1
-2009  8 17    16.4    15.7    15.7 1
-2009  8 18    15.6    14.9    14.9 1
-2009  8 19    14.6    13.9    13.9 1
-2009  8 20    17.5    16.8    16.8 1
-2009  8 21    17.4    16.7    16.7 1
-2009  8 22    16.8    16.1    16.1 1
-2009  8 23    15.9    15.2    15.2 1
-2009  8 24    16.4    15.8    15.8 1
-2009  8 25    17.4    16.8    16.8 1
-2009  8 26    16.9    16.3    16.3 1
-2009  8 27    17.9    17.3    17.3 1
-2009  8 28    18.9    18.3    18.3 1
-2009  8 29    15.7    15.1    15.1 1
-2009  8 30    14.4    13.9    13.9 1
-2009  8 31    15.0    14.5    14.5 1
-2009  9  1    18.7    18.2    18.2 1
-2009  9  2    17.5    17.0    17.0 1
-2009  9  3    16.2    15.7    15.7 1
-2009  9  4    15.3    14.8    14.8 1
-2009  9  5    15.5    15.0    15.0 1
-2009  9  6    15.2    14.8    14.8 1
-2009  9  7    15.6    15.2    15.2 1
-2009  9  8    17.4    17.0    17.0 1
-2009  9  9    18.9    18.5    18.5 1
-2009  9 10    15.0    14.6    14.6 1
-2009  9 11    14.9    14.5    14.5 1
-2009  9 12    14.9    14.6    14.6 1
-2009  9 13    12.7    12.4    12.4 1
-2009  9 14    14.0    13.7    13.7 1
-2009  9 15    12.9    12.6    12.6 1
-2009  9 16    11.7    11.4    11.4 1
-2009  9 17    11.8    11.5    11.5 1
-2009  9 18    13.8    13.5    13.5 1
-2009  9 19    14.7    14.4    14.4 1
-2009  9 20    14.8    14.5    14.5 1
-2009  9 21    14.1    13.8    13.8 1
-2009  9 22    14.4    14.1    14.1 1
-2009  9 23    14.9    14.6    14.6 1
-2009  9 24    10.2     9.9     9.9 1
-2009  9 25    12.2    11.9    11.9 1
-2009  9 26    15.2    14.9    14.9 1
-2009  9 27    14.5    14.2    14.2 1
-2009  9 28    12.2    11.9    11.9 1
-2009  9 29     7.2     6.9     6.9 1
-2009  9 30     8.0     7.7     7.7 1
-2009 10  1     5.1     4.8     4.8 1
-2009 10  2     5.2     4.9     4.9 1
-2009 10  3     7.1     6.8     6.8 1
-2009 10  4     8.0     7.7     7.7 1
-2009 10  5     6.5     6.2     6.2 1
-2009 10  6     7.3     7.0     7.0 1
-2009 10  7    11.1    10.8    10.8 1
-2009 10  8     7.3     7.0     7.0 1
-2009 10  9     6.1     5.8     5.8 1
-2009 10 10     5.4     5.1     5.1 1
-2009 10 11     5.9     5.7     5.7 1
-2009 10 12     4.4     4.2     4.2 1
-2009 10 13     2.7     2.5     2.5 1
-2009 10 14     2.4     2.2     2.2 1
-2009 10 15     3.8     3.6     3.6 1
-2009 10 16     2.8     2.6     2.6 1
-2009 10 17     4.7     4.4     4.4 1
-2009 10 18     4.1     3.8     3.8 1
-2009 10 19     5.4     5.1     5.1 1
-2009 10 20     6.1     5.8     5.8 1
-2009 10 21     6.8     6.5     6.5 1
-2009 10 22     6.4     6.1     6.1 1
-2009 10 23     5.4     5.1     5.1 1
-2009 10 24     6.5     6.2     6.2 1
-2009 10 25     6.9     6.6     6.6 1
-2009 10 26     8.8     8.5     8.5 1
-2009 10 27     7.3     7.0     7.0 1
-2009 10 28     4.8     4.5     4.5 1
-2009 10 29     3.5     3.2     3.2 1
-2009 10 30     3.7     3.3     3.3 1
-2009 10 31     4.2     3.8     3.8 1
-2009 11  1     5.4     5.0     5.0 1
-2009 11  2     6.3     5.9     5.9 1
-2009 11  3     6.1     5.7     5.7 1
-2009 11  4     2.6     2.2     2.2 1
-2009 11  5     3.8     3.4     3.4 1
-2009 11  6     6.0     5.6     5.6 1
-2009 11  7     6.6     6.2     6.2 1
-2009 11  8     6.1     5.7     5.7 1
-2009 11  9     4.7     4.3     4.3 1
-2009 11 10     2.6     2.2     2.2 1
-2009 11 11     2.3     1.9     1.9 1
-2009 11 12     1.0     0.6     0.6 1
-2009 11 13     0.4    -0.1    -0.1 1
-2009 11 14     5.1     4.6     4.6 1
-2009 11 15     7.5     7.0     7.0 1
-2009 11 16     6.7     6.2     6.2 1
-2009 11 17     7.1     6.6     6.6 1
-2009 11 18     7.3     6.8     6.8 1
-2009 11 19     5.7     5.2     5.2 1
-2009 11 20     9.6     9.1     9.1 1
-2009 11 21     8.9     8.4     8.4 1
-2009 11 22     6.3     5.8     5.8 1
-2009 11 23     7.5     7.0     7.0 1
-2009 11 24     7.0     6.5     6.5 1
-2009 11 25     6.6     6.1     6.1 1
-2009 11 26     7.3     6.8     6.8 1
-2009 11 27     5.9     5.4     5.4 1
-2009 11 28     4.9     4.4     4.4 1
-2009 11 29     3.7     3.2     3.2 1
-2009 11 30     6.7     6.2     6.2 1
-2009 12  1     2.4     1.9     1.9 1
-2009 12  2    -1.7    -2.2    -2.2 1
-2009 12  3     0.3    -0.2    -0.2 1
-2009 12  4     3.4     2.9     2.9 1
-2009 12  5     5.2     4.6     4.6 1
-2009 12  6     3.3     2.7     2.7 1
-2009 12  7     4.5     3.9     3.9 1
-2009 12  8     4.1     3.5     3.5 1
-2009 12  9     3.6     3.0     3.0 1
-2009 12 10     3.1     2.5     2.5 1
-2009 12 11     1.7     1.1     1.1 1
-2009 12 12     0.7     0.1     0.1 1
-2009 12 13     1.6     1.0     1.0 1
-2009 12 14    -1.9    -2.5    -2.5 1
-2009 12 15    -1.9    -2.5    -2.5 1
-2009 12 16    -2.2    -2.8    -2.8 1
-2009 12 17    -5.1    -5.7    -5.7 1
-2009 12 18    -6.3    -6.9    -6.9 1
-2009 12 19    -4.4    -5.0    -5.0 1
-2009 12 20    -5.0    -5.6    -5.6 1
-2009 12 21    -8.3    -8.9    -8.9 1
-2009 12 22    -7.4    -8.0    -8.0 1
-2009 12 23    -2.3    -2.9    -2.9 1
-2009 12 24    -0.8    -1.4    -1.4 1
-2009 12 25     1.3     0.6     0.6 1
-2009 12 26    -2.0    -2.7    -2.7 1
-2009 12 27    -5.0    -5.7    -5.7 1
-2009 12 28     1.1     0.4     0.4 1
-2009 12 29    -8.0    -8.7    -8.7 1
-2009 12 30    -9.5   -10.2   -10.2 1
-2009 12 31    -7.6    -8.3    -8.3 1
-2010  1  1    -7.6    -8.3    -8.3 1
-2010  1  2    -8.9    -9.6    -9.6 1
-2010  1  3    -9.4   -10.1   -10.1 1
-2010  1  4    -6.1    -6.8    -6.8 1
-2010  1  5   -14.7   -15.4   -15.4 1
-2010  1  6   -16.0   -16.7   -16.7 1
-2010  1  7    -8.3    -9.0    -9.0 1
-2010  1  8   -12.0   -12.7   -12.7 1
-2010  1  9   -12.6   -13.3   -13.3 1
-2010  1 10    -7.1    -7.8    -7.8 1
-2010  1 11    -8.6    -9.4    -9.4 1
-2010  1 12    -8.8    -9.6    -9.6 1
-2010  1 13    -9.3   -10.1   -10.1 1
-2010  1 14    -6.2    -7.0    -7.0 1
-2010  1 15    -2.4    -3.2    -3.2 1
-2010  1 16    -1.1    -1.9    -1.9 1
-2010  1 17    -1.5    -2.3    -2.3 1
-2010  1 18    -1.9    -2.7    -2.7 1
-2010  1 19    -1.7    -2.5    -2.5 1
-2010  1 20    -2.2    -3.0    -3.0 1
-2010  1 21    -2.0    -2.8    -2.8 1
-2010  1 22    -2.5    -3.3    -3.3 1
-2010  1 23    -3.9    -4.7    -4.7 1
-2010  1 24    -4.3    -5.1    -5.1 1
-2010  1 25    -5.2    -6.0    -6.0 1
-2010  1 26    -8.0    -8.8    -8.8 1
-2010  1 27    -4.9    -5.7    -5.7 1
-2010  1 28    -5.9    -6.7    -6.7 1
-2010  1 29   -11.0   -11.8   -11.8 1
-2010  1 30   -12.8   -13.6   -13.6 1
-2010  1 31   -10.4   -11.2   -11.2 1
-2010  2  1    -3.0    -3.8    -3.8 1
-2010  2  2    -4.3    -5.1    -5.1 1
-2010  2  3    -1.4    -2.2    -2.2 1
-2010  2  4     0.0    -0.8    -0.8 1
-2010  2  5    -1.5    -2.3    -2.3 1
-2010  2  6    -1.6    -2.4    -2.4 1
-2010  2  7    -3.9    -4.7    -4.7 1
-2010  2  8    -6.3    -7.1    -7.1 1
-2010  2  9    -3.9    -4.7    -4.7 1
-2010  2 10    -3.7    -4.5    -4.5 1
-2010  2 11    -7.5    -8.3    -8.3 1
-2010  2 12    -5.5    -6.3    -6.3 1
-2010  2 13    -5.3    -6.1    -6.1 1
-2010  2 14    -5.3    -6.1    -6.1 1
-2010  2 15    -6.4    -7.2    -7.2 1
-2010  2 16    -5.9    -6.8    -6.8 1
-2010  2 17    -4.5    -5.4    -5.4 1
-2010  2 18    -5.8    -6.7    -6.7 1
-2010  2 19    -8.6    -9.5    -9.5 1
-2010  2 20   -12.5   -13.4   -13.4 1
-2010  2 21   -14.4   -15.3   -15.3 1
-2010  2 22   -17.1   -18.0   -18.0 1
-2010  2 23    -9.6   -10.5   -10.5 1
-2010  2 24    -7.9    -8.8    -8.8 1
-2010  2 25    -4.0    -4.9    -4.9 1
-2010  2 26     0.5    -0.4    -0.4 1
-2010  2 27     0.7    -0.2    -0.2 1
-2010  2 28     1.9     1.0     1.0 1
-2010  3  1    -0.6    -1.5    -1.5 1
-2010  3  2    -5.6    -6.5    -6.5 1
-2010  3  3    -6.3    -7.2    -7.2 1
-2010  3  4    -6.2    -7.1    -7.1 1
-2010  3  5    -5.3    -6.2    -6.2 1
-2010  3  6    -6.4    -7.3    -7.3 1
-2010  3  7    -5.3    -6.2    -6.2 1
-2010  3  8     0.5    -0.4    -0.4 1
-2010  3  9    -0.7    -1.6    -1.6 1
-2010  3 10     1.2     0.3     0.3 1
-2010  3 11    -0.2    -1.1    -1.1 1
-2010  3 12     0.7    -0.2    -0.2 1
-2010  3 13    -0.5    -1.5    -1.5 1
-2010  3 14    -2.3    -3.3    -3.3 1
-2010  3 15    -2.4    -3.4    -3.4 1
-2010  3 16    -3.4    -4.4    -4.4 1
-2010  3 17    -0.5    -1.4    -1.4 1
-2010  3 18     2.8     1.9     1.9 1
-2010  3 19     5.2     4.3     4.3 1
-2010  3 20     6.2     5.3     5.3 1
-2010  3 21     0.5    -0.4    -0.4 1
-2010  3 22    -0.7    -1.6    -1.6 1
-2010  3 23     1.4     0.5     0.5 1
-2010  3 24     1.9     1.0     1.0 1
-2010  3 25     0.9     0.0     0.0 1
-2010  3 26     5.2     4.3     4.3 1
-2010  3 27     2.6     1.7     1.7 1
-2010  3 28     1.9     1.0     1.0 1
-2010  3 29     4.1     3.2     3.2 1
-2010  3 30     3.3     2.4     2.4 1
-2010  3 31     1.8     0.9     0.9 1
-2010  4  1     5.0     4.1     4.1 1
-2010  4  2     4.3     3.4     3.4 1
-2010  4  3     6.7     5.8     5.8 1
-2010  4  4     4.6     3.7     3.7 1
-2010  4  5     1.3     0.4     0.4 1
-2010  4  6     4.9     4.1     4.1 1
-2010  4  7     6.8     6.0     6.0 1
-2010  4  8     7.7     6.9     6.9 1
-2010  4  9     4.9     4.1     4.1 1
-2010  4 10     2.9     2.1     2.1 1
-2010  4 11     4.5     3.7     3.7 1
-2010  4 12     5.7     4.9     4.9 1
-2010  4 13     7.9     7.1     7.1 1
-2010  4 14     6.6     5.8     5.8 1
-2010  4 15     8.8     8.0     8.0 1
-2010  4 16     5.9     5.1     5.1 1
-2010  4 17     7.7     6.9     6.9 1
-2010  4 18     6.2     5.3     5.3 1
-2010  4 19     5.3     4.4     4.4 1
-2010  4 20     5.5     4.6     4.6 1
-2010  4 21     2.0     1.1     1.1 1
-2010  4 22     1.5     0.6     0.6 1
-2010  4 23     5.9     4.9     4.9 1
-2010  4 24     6.8     5.8     5.8 1
-2010  4 25     9.3     8.3     8.3 1
-2010  4 26     9.8     8.8     8.8 1
-2010  4 27    10.4     9.4     9.4 1
-2010  4 28     7.1     6.1     6.1 1
-2010  4 29    12.8    11.7    11.7 1
-2010  4 30    12.8    11.7    11.7 1
-2010  5  1    10.8     9.7     9.7 1
-2010  5  2     7.7     6.6     6.6 1
-2010  5  3     8.4     7.3     7.3 1
-2010  5  4     7.2     6.0     6.0 1
-2010  5  5     5.5     4.3     4.3 1
-2010  5  6     7.1     5.9     5.9 1
-2010  5  7     7.2     6.0     6.0 1
-2010  5  8     5.2     4.0     4.0 1
-2010  5  9     6.9     5.6     5.6 1
-2010  5 10     5.9     4.6     4.6 1
-2010  5 11     9.3     8.0     8.0 1
-2010  5 12    10.0     8.7     8.7 1
-2010  5 13    11.5    10.2    10.2 1
-2010  5 14    11.8    10.4    10.4 1
-2010  5 15    16.1    14.7    14.7 1
-2010  5 16    12.2    10.8    10.8 1
-2010  5 17    15.5    14.1    14.1 1
-2010  5 18    17.6    16.3    16.3 1
-2010  5 19    17.0    15.7    15.7 1
-2010  5 20    18.4    17.1    17.1 1
-2010  5 21    18.0    16.7    16.7 1
-2010  5 22    16.8    15.5    15.5 1
-2010  5 23    11.4    10.1    10.1 1
-2010  5 24    11.2     9.9     9.9 1
-2010  5 25     9.5     8.2     8.2 1
-2010  5 26    11.1     9.8     9.8 1
-2010  5 27    11.3    10.0    10.0 1
-2010  5 28    12.4    11.1    11.1 1
-2010  5 29    10.5     9.3     9.3 1
-2010  5 30    14.1    12.9    12.9 1
-2010  5 31    13.9    12.7    12.7 1
-2010  6  1    14.0    12.8    12.8 1
-2010  6  2    16.0    14.8    14.8 1
-2010  6  3    17.4    16.2    16.2 1
-2010  6  4    14.5    13.3    13.3 1
-2010  6  5    12.8    11.6    11.6 1
-2010  6  6    15.1    13.9    13.9 1
-2010  6  7    13.2    12.0    12.0 1
-2010  6  8    14.1    12.9    12.9 1
-2010  6  9    14.1    13.0    13.0 1
-2010  6 10    15.2    14.1    14.1 1
-2010  6 11    12.7    11.6    11.6 1
-2010  6 12    13.2    12.1    12.1 1
-2010  6 13    14.3    13.2    13.2 1
-2010  6 14    13.9    12.8    12.8 1
-2010  6 15    11.9    10.8    10.8 1
-2010  6 16    14.6    13.5    13.5 1
-2010  6 17    17.0    15.9    15.9 1
-2010  6 18    13.6    12.5    12.5 1
-2010  6 19    14.2    13.1    13.1 1
-2010  6 20    14.1    13.0    13.0 1
-2010  6 21    13.4    12.3    12.3 1
-2010  6 22    16.6    15.5    15.5 1
-2010  6 23    17.4    16.3    16.3 1
-2010  6 24    19.1    18.0    18.0 1
-2010  6 25    19.2    18.1    18.1 1
-2010  6 26    16.9    15.8    15.8 1
-2010  6 27    18.3    17.2    17.2 1
-2010  6 28    20.6    19.5    19.5 1
-2010  6 29    21.3    20.2    20.2 1
-2010  6 30    21.4    20.4    20.4 1
-2010  7  1    17.9    16.9    16.9 1
-2010  7  2    21.1    20.1    20.1 1
-2010  7  3    22.6    21.6    21.6 1
-2010  7  4    22.8    21.8    21.8 1
-2010  7  5    22.2    21.2    21.2 1
-2010  7  6    19.6    18.6    18.6 1
-2010  7  7    20.6    19.6    19.6 1
-2010  7  8    22.0    21.0    21.0 1
-2010  7  9    22.4    21.4    21.4 1
-2010  7 10    23.7    22.7    22.7 1
-2010  7 11    26.1    25.1    25.1 1
-2010  7 12    25.8    24.8    24.8 1
-2010  7 13    26.7    25.7    25.7 1
-2010  7 14    23.7    22.7    22.7 1
-2010  7 15    23.8    22.8    22.8 1
-2010  7 16    23.5    22.5    22.5 1
-2010  7 17    23.0    22.0    22.0 1
-2010  7 18    21.5    20.5    20.5 1
-2010  7 19    20.5    19.5    19.5 1
-2010  7 20    22.4    21.4    21.4 1
-2010  7 21    22.5    21.5    21.5 1
-2010  7 22    23.8    22.8    22.8 1
-2010  7 23    16.6    15.6    15.6 1
-2010  7 24    15.0    14.1    14.1 1
-2010  7 25    16.7    15.8    15.8 1
-2010  7 26    17.0    16.1    16.1 1
-2010  7 27    19.8    18.9    18.9 1
-2010  7 28    20.4    19.5    19.5 1
-2010  7 29    18.0    17.1    17.1 1
-2010  7 30    18.4    17.5    17.5 1
-2010  7 31    18.0    17.1    17.1 1
-2010  8  1    20.1    19.2    19.2 1
-2010  8  2    16.7    15.8    15.8 1
-2010  8  3    18.0    17.1    17.1 1
-2010  8  4    16.4    15.5    15.5 1
-2010  8  5    18.7    17.8    17.8 1
-2010  8  6    19.0    18.2    18.2 1
-2010  8  7    16.8    16.0    16.0 1
-2010  8  8    17.7    16.9    16.9 1
-2010  8  9    19.6    18.8    18.8 1
-2010  8 10    17.9    17.1    17.1 1
-2010  8 11    18.6    17.8    17.8 1
-2010  8 12    20.3    19.5    19.5 1
-2010  8 13    21.8    21.0    21.0 1
-2010  8 14    23.3    22.5    22.5 1
-2010  8 15    20.0    19.2    19.2 1
-2010  8 16    18.4    17.6    17.6 1
-2010  8 17    17.8    17.1    17.1 1
-2010  8 18    18.8    18.1    18.1 1
-2010  8 19    16.9    16.2    16.2 1
-2010  8 20    16.2    15.5    15.5 1
-2010  8 21    18.5    17.8    17.8 1
-2010  8 22    17.6    16.9    16.9 1
-2010  8 23    17.9    17.2    17.2 1
-2010  8 24    16.4    15.8    15.8 1
-2010  8 25    13.4    12.8    12.8 1
-2010  8 26    13.2    12.6    12.6 1
-2010  8 27    12.6    12.0    12.0 1
-2010  8 28    12.6    12.0    12.0 1
-2010  8 29    11.9    11.3    11.3 1
-2010  8 30    12.2    11.7    11.7 1
-2010  8 31    13.0    12.5    12.5 1
-2010  9  1    13.3    12.8    12.8 1
-2010  9  2     9.7     9.2     9.2 1
-2010  9  3     9.7     9.2     9.2 1
-2010  9  4    11.3    10.8    10.8 1
-2010  9  5    12.5    12.0    12.0 1
-2010  9  6    13.3    12.9    12.9 1
-2010  9  7    13.1    12.7    12.7 1
-2010  9  8    14.7    14.3    14.3 1
-2010  9  9    14.3    13.9    13.9 1
-2010  9 10    14.2    13.8    13.8 1
-2010  9 11    14.8    14.4    14.4 1
-2010  9 12    16.3    16.0    16.0 1
-2010  9 13    13.8    13.5    13.5 1
-2010  9 14    12.7    12.4    12.4 1
-2010  9 15    12.2    11.9    11.9 1
-2010  9 16    12.0    11.7    11.7 1
-2010  9 17    12.5    12.2    12.2 1
-2010  9 18    10.4    10.1    10.1 1
-2010  9 19    11.1    10.8    10.8 1
-2010  9 20    10.7    10.4    10.4 1
-2010  9 21    12.5    12.2    12.2 1
-2010  9 22    10.7    10.4    10.4 1
-2010  9 23    13.1    12.8    12.8 1
-2010  9 24    14.8    14.5    14.5 1
-2010  9 25    13.5    13.2    13.2 1
-2010  9 26    10.1     9.8     9.8 1
-2010  9 27     9.6     9.3     9.3 1
-2010  9 28     8.2     7.9     7.9 1
-2010  9 29     8.5     8.2     8.2 1
-2010  9 30     7.8     7.5     7.5 1
-2010 10  1     9.1     8.8     8.8 1
-2010 10  2     9.0     8.7     8.7 1
-2010 10  3    10.5    10.2    10.2 1
-2010 10  4    11.3    11.0    11.0 1
-2010 10  5    10.5    10.2    10.2 1
-2010 10  6    10.5    10.2    10.2 1
-2010 10  7     9.9     9.6     9.6 1
-2010 10  8    10.2     9.9     9.9 1
-2010 10  9     9.0     8.7     8.7 1
-2010 10 10     7.4     7.1     7.1 1
-2010 10 11     5.1     4.9     4.9 1
-2010 10 12     5.8     5.6     5.6 1
-2010 10 13     5.8     5.6     5.6 1
-2010 10 14     6.8     6.6     6.6 1
-2010 10 15     2.6     2.4     2.4 1
-2010 10 16     1.7     1.5     1.5 1
-2010 10 17     4.4     4.1     4.1 1
-2010 10 18     5.7     5.4     5.4 1
-2010 10 19     7.2     6.9     6.9 1
-2010 10 20     4.3     4.0     4.0 1
-2010 10 21     0.3     0.0     0.0 1
-2010 10 22     1.2     0.9     0.9 1
-2010 10 23     3.8     3.5     3.5 1
-2010 10 24     2.9     2.6     2.6 1
-2010 10 25     1.9     1.6     1.6 1
-2010 10 26     2.4     2.1     2.1 1
-2010 10 27     4.7     4.4     4.4 1
-2010 10 28     8.5     8.2     8.2 1
-2010 10 29     8.2     7.9     7.9 1
-2010 10 30     9.2     8.8     8.8 1
-2010 10 31     9.0     8.6     8.6 1
-2010 11  1     7.7     7.3     7.3 1
-2010 11  2     5.7     5.3     5.3 1
-2010 11  3     8.5     8.1     8.1 1
-2010 11  4     6.5     6.1     6.1 1
-2010 11  5     3.3     2.9     2.9 1
-2010 11  6     1.8     1.4     1.4 1
-2010 11  7     0.3    -0.1    -0.1 1
-2010 11  8    -1.0    -1.4    -1.4 1
-2010 11  9     1.2     0.8     0.8 1
-2010 11 10     1.0     0.6     0.6 1
-2010 11 11     0.8     0.4     0.4 1
-2010 11 12     4.1     3.7     3.7 1
-2010 11 13     3.3     2.8     2.8 1
-2010 11 14     5.1     4.6     4.6 1
-2010 11 15     3.6     3.1     3.1 1
-2010 11 16     0.6     0.1     0.1 1
-2010 11 17    -0.3    -0.8    -0.8 1
-2010 11 18     0.3    -0.2    -0.2 1
-2010 11 19     0.1    -0.4    -0.4 1
-2010 11 20     1.1     0.6     0.6 1
-2010 11 21     1.5     1.0     1.0 1
-2010 11 22     0.2    -0.3    -0.3 1
-2010 11 23    -0.8    -1.3    -1.3 1
-2010 11 24    -2.4    -2.9    -2.9 1
-2010 11 25    -4.1    -4.6    -4.6 1
-2010 11 26    -7.3    -7.8    -7.8 1
-2010 11 27    -7.7    -8.2    -8.2 1
-2010 11 28    -5.1    -5.6    -5.6 1
-2010 11 29    -8.9    -9.4    -9.4 1
-2010 11 30    -8.8    -9.3    -9.3 1
-2010 12  1   -10.7   -11.2   -11.2 1
-2010 12  2    -9.3    -9.8    -9.8 1
-2010 12  3    -4.1    -4.6    -4.6 1
-2010 12  4    -7.3    -7.8    -7.8 1
-2010 12  5    -1.8    -2.4    -2.4 1
-2010 12  6    -1.5    -2.1    -2.1 1
-2010 12  7    -5.9    -6.5    -6.5 1
-2010 12  8    -7.5    -8.1    -8.1 1
-2010 12  9    -6.2    -6.8    -6.8 1
-2010 12 10    -7.1    -7.7    -7.7 1
-2010 12 11    -3.3    -3.9    -3.9 1
-2010 12 12    -8.1    -8.7    -8.7 1
-2010 12 13    -6.7    -7.3    -7.3 1
-2010 12 14    -4.3    -4.9    -4.9 1
-2010 12 15    -6.7    -7.3    -7.3 1
-2010 12 16    -2.3    -2.9    -2.9 1
-2010 12 17    -1.2    -1.8    -1.8 1
-2010 12 18    -3.8    -4.4    -4.4 1
-2010 12 19    -7.6    -8.2    -8.2 1
-2010 12 20    -7.0    -7.6    -7.6 1
-2010 12 21   -11.9   -12.5   -12.5 1
-2010 12 22   -15.4   -16.0   -16.0 1
-2010 12 23   -12.0   -12.6   -12.6 1
-2010 12 24   -11.2   -11.8   -11.8 1
-2010 12 25    -6.0    -6.7    -6.7 1
-2010 12 26    -6.6    -7.3    -7.3 1
-2010 12 27    -5.4    -6.1    -6.1 1
-2010 12 28    -5.6    -6.3    -6.3 1
-2010 12 29    -5.1    -5.8    -5.8 1
-2010 12 30    -7.2    -7.9    -7.9 1
-2010 12 31    -5.4    -6.1    -6.1 1
-2011  1  1    -2.3    -3.0    -3.0 1
-2011  1  2    -3.6    -4.3    -4.3 1
-2011  1  3    -6.9    -7.6    -7.6 1
-2011  1  4    -6.6    -7.3    -7.3 1
-2011  1  5    -1.2    -1.9    -1.9 1
-2011  1  6    -1.1    -1.8    -1.8 1
-2011  1  7    -0.3    -1.0    -1.0 1
-2011  1  8    -0.9    -1.6    -1.6 1
-2011  1  9     1.4     0.7     0.7 1
-2011  1 10     2.1     1.4     1.4 1
-2011  1 11    -0.2    -1.0    -1.0 1
-2011  1 12    -0.5    -1.3    -1.3 1
-2011  1 13    -5.2    -6.0    -6.0 1
-2011  1 14    -7.2    -8.0    -8.0 1
-2011  1 15    -5.5    -6.3    -6.3 1
-2011  1 16     1.3     0.5     0.5 1
-2011  1 17     4.0     3.2     3.2 1
-2011  1 18     2.5     1.7     1.7 1
-2011  1 19    -0.9    -1.7    -1.7 1
-2011  1 20    -2.3    -3.1    -3.1 1
-2011  1 21    -2.0    -2.8    -2.8 1
-2011  1 22    -1.1    -1.9    -1.9 1
-2011  1 23    -3.6    -4.4    -4.4 1
-2011  1 24    -0.5    -1.3    -1.3 1
-2011  1 25    -2.0    -2.8    -2.8 1
-2011  1 26    -5.8    -6.6    -6.6 1
-2011  1 27    -7.7    -8.5    -8.5 1
-2011  1 28    -2.9    -3.7    -3.7 1
-2011  1 29     1.0     0.2     0.2 1
-2011  1 30     0.0    -0.8    -0.8 1
-2011  1 31    -0.2    -1.0    -1.0 1
-2011  2  1     2.5     1.7     1.7 1
-2011  2  2     2.5     1.7     1.7 1
-2011  2  3     3.1     2.3     2.3 1
-2011  2  4     1.3     0.5     0.5 1
-2011  2  5     1.0     0.2     0.2 1
-2011  2  6     1.0     0.2     0.2 1
-2011  2  7     0.9     0.1     0.1 1
-2011  2  8     0.9     0.1     0.1 1
-2011  2  9    -1.6    -2.4    -2.4 1
-2011  2 10    -2.0    -2.8    -2.8 1
-2011  2 11    -5.1    -5.9    -5.9 1
-2011  2 12    -6.7    -7.5    -7.5 1
-2011  2 13    -7.8    -8.6    -8.6 1
-2011  2 14   -13.4   -14.2   -14.2 1
-2011  2 15    -8.8    -9.6    -9.6 1
-2011  2 16    -4.8    -5.7    -5.7 1
-2011  2 17    -5.5    -6.4    -6.4 1
-2011  2 18    -9.5   -10.4   -10.4 1
-2011  2 19   -14.1   -15.0   -15.0 1
-2011  2 20    -9.2   -10.1   -10.1 1
-2011  2 21    -7.1    -8.0    -8.0 1
-2011  2 22    -9.6   -10.5   -10.5 1
-2011  2 23   -11.4   -12.3   -12.3 1
-2011  2 24    -9.1   -10.0   -10.0 1
-2011  2 25    -2.0    -2.9    -2.9 1
-2011  2 26     0.1    -0.8    -0.8 1
-2011  2 27    -2.2    -3.1    -3.1 1
-2011  2 28    -2.2    -3.1    -3.1 1
-2011  3  1    -2.2    -3.1    -3.1 1
-2011  3  2    -2.1    -3.0    -3.0 1
-2011  3  3    -0.1    -1.0    -1.0 1
-2011  3  4     0.3    -0.6    -0.6 1
-2011  3  5     0.9     0.0     0.0 1
-2011  3  6    -1.4    -2.3    -2.3 1
-2011  3  7     0.1    -0.8    -0.8 1
-2011  3  8     2.7     1.8     1.8 1
-2011  3  9     1.6     0.7     0.7 1
-2011  3 10     2.3     1.4     1.4 1
-2011  3 11     1.2     0.3     0.3 1
-2011  3 12     3.2     2.3     2.3 1
-2011  3 13     1.8     0.8     0.8 1
-2011  3 14     2.5     1.5     1.5 1
-2011  3 15    -1.0    -2.0    -2.0 1
-2011  3 16    -1.4    -2.4    -2.4 1
-2011  3 17    -0.6    -1.5    -1.5 1
-2011  3 18     0.3    -0.6    -0.6 1
-2011  3 19     1.0     0.1     0.1 1
-2011  3 20     2.1     1.2     1.2 1
-2011  3 21     4.6     3.7     3.7 1
-2011  3 22     8.4     7.5     7.5 1
-2011  3 23     6.4     5.5     5.5 1
-2011  3 24     3.3     2.4     2.4 1
-2011  3 25    -0.3    -1.2    -1.2 1
-2011  3 26    -0.8    -1.7    -1.7 1
-2011  3 27     1.0     0.1     0.1 1
-2011  3 28     1.1     0.2     0.2 1
-2011  3 29     0.8    -0.1    -0.1 1
-2011  3 30     0.4    -0.5    -0.5 1
-2011  3 31     1.4     0.5     0.5 1
-2011  4  1     1.9     1.0     1.0 1
-2011  4  2     4.6     3.7     3.7 1
-2011  4  3     6.4     5.5     5.5 1
-2011  4  4     6.7     5.8     5.8 1
-2011  4  5     7.2     6.3     6.3 1
-2011  4  6     8.9     8.1     8.1 1
-2011  4  7     9.2     8.4     8.4 1
-2011  4  8     6.1     5.3     5.3 1
-2011  4  9     7.8     7.0     7.0 1
-2011  4 10     7.7     6.9     6.9 1
-2011  4 11    10.8    10.0    10.0 1
-2011  4 12     5.5     4.7     4.7 1
-2011  4 13     4.7     3.9     3.9 1
-2011  4 14     8.0     7.2     7.2 1
-2011  4 15     9.0     8.2     8.2 1
-2011  4 16    10.6     9.8     9.8 1
-2011  4 17    11.2    10.4    10.4 1
-2011  4 18    11.3    10.4    10.4 1
-2011  4 19     8.7     7.8     7.8 1
-2011  4 20    10.7     9.8     9.8 1
-2011  4 21    14.0    13.1    13.1 1
-2011  4 22    11.5    10.6    10.6 1
-2011  4 23    11.6    10.6    10.6 1
-2011  4 24    13.2    12.2    12.2 1
-2011  4 25    15.6    14.6    14.6 1
-2011  4 26    12.7    11.7    11.7 1
-2011  4 27    10.9     9.9     9.9 1
-2011  4 28    10.8     9.8     9.8 1
-2011  4 29    11.6    10.5    10.5 1
-2011  4 30     8.3     7.2     7.2 1
-2011  5  1     4.6     3.5     3.5 1
-2011  5  2     3.9     2.8     2.8 1
-2011  5  3     2.4     1.3     1.3 1
-2011  5  4     4.0     2.8     2.8 1
-2011  5  5     5.3     4.1     4.1 1
-2011  5  6     8.0     6.8     6.8 1
-2011  5  7    10.8     9.6     9.6 1
-2011  5  8    13.2    12.0    12.0 1
-2011  5  9    14.9    13.6    13.6 1
-2011  5 10    18.3    17.0    17.0 1
-2011  5 11    17.5    16.2    16.2 1
-2011  5 12    16.0    14.7    14.7 1
-2011  5 13    11.8    10.5    10.5 1
-2011  5 14    12.3    10.9    10.9 1
-2011  5 15     9.8     8.4     8.4 1
-2011  5 16    10.0     8.6     8.6 1
-2011  5 17    10.9     9.5     9.5 1
-2011  5 18    13.1    11.8    11.8 1
-2011  5 19    15.5    14.2    14.2 1
-2011  5 20    13.7    12.4    12.4 1
-2011  5 21    14.0    12.7    12.7 1
-2011  5 22    15.0    13.7    13.7 1
-2011  5 23    13.7    12.4    12.4 1
-2011  5 24    14.1    12.8    12.8 1
-2011  5 25    12.4    11.1    11.1 1
-2011  5 26    12.9    11.6    11.6 1
-2011  5 27    11.7    10.4    10.4 1
-2011  5 28    12.3    11.0    11.0 1
-2011  5 29    12.6    11.4    11.4 1
-2011  5 30    16.0    14.8    14.8 1
-2011  5 31    17.6    16.4    16.4 1
-2011  6  1    16.7    15.5    15.5 1
-2011  6  2    16.3    15.1    15.1 1
-2011  6  3    19.4    18.2    18.2 1
-2011  6  4    20.3    19.1    19.1 1
-2011  6  5    14.2    13.0    13.0 1
-2011  6  6    18.7    17.5    17.5 1
-2011  6  7    21.5    20.3    20.3 1
-2011  6  8    18.9    17.7    17.7 1
-2011  6  9    20.0    18.9    18.9 1
-2011  6 10    21.1    20.0    20.0 1
-2011  6 11    22.2    21.1    21.1 1
-2011  6 12    18.8    17.7    17.7 1
-2011  6 13    17.0    15.9    15.9 1
-2011  6 14    16.1    15.0    15.0 1
-2011  6 15    14.5    13.4    13.4 1
-2011  6 16    15.0    13.9    13.9 1
-2011  6 17    13.7    12.6    12.6 1
-2011  6 18    14.9    13.8    13.8 1
-2011  6 19    12.4    11.3    11.3 1
-2011  6 20    13.9    12.8    12.8 1
-2011  6 21    15.0    13.9    13.9 1
-2011  6 22    16.3    15.2    15.2 1
-2011  6 23    14.3    13.2    13.2 1
-2011  6 24    16.3    15.2    15.2 1
-2011  6 25    14.6    13.5    13.5 1
-2011  6 26    16.1    15.0    15.0 1
-2011  6 27    19.7    18.6    18.6 1
-2011  6 28    22.2    21.1    21.1 1
-2011  6 29    22.0    20.9    20.9 1
-2011  6 30    20.6    19.6    19.6 1
-2011  7  1    20.7    19.7    19.7 1
-2011  7  2    22.9    21.9    21.9 1
-2011  7  3    16.5    15.5    15.5 1
-2011  7  4    16.3    15.3    15.3 1
-2011  7  5    16.9    15.9    15.9 1
-2011  7  6    19.1    18.1    18.1 1
-2011  7  7    21.1    20.1    20.1 1
-2011  7  8    22.3    21.3    21.3 1
-2011  7  9    22.0    21.0    21.0 1
-2011  7 10    20.7    19.7    19.7 1
-2011  7 11    20.1    19.1    19.1 1
-2011  7 12    18.8    17.8    17.8 1
-2011  7 13    14.9    13.9    13.9 1
-2011  7 14    16.5    15.5    15.5 1
-2011  7 15    17.4    16.4    16.4 1
-2011  7 16    16.5    15.5    15.5 1
-2011  7 17    19.0    18.0    18.0 1
-2011  7 18    19.1    18.1    18.1 1
-2011  7 19    19.8    18.8    18.8 1
-2011  7 20    20.1    19.1    19.1 1
-2011  7 21    17.2    16.2    16.2 1
-2011  7 22    21.8    20.8    20.8 1
-2011  7 23    21.3    20.3    20.3 1
-2011  7 24    17.2    16.3    16.3 1
-2011  7 25    17.2    16.3    16.3 1
-2011  7 26    20.4    19.5    19.5 1
-2011  7 27    21.9    21.0    21.0 1
-2011  7 28    22.2    21.3    21.3 1
-2011  7 29    21.3    20.4    20.4 1
-2011  7 30    21.3    20.4    20.4 1
-2011  7 31    19.7    18.8    18.8 1
-2011  8  1    19.9    19.0    19.0 1
-2011  8  2    18.8    17.9    17.9 1
-2011  8  3    19.7    18.8    18.8 1
-2011  8  4    20.5    19.6    19.6 1
-2011  8  5    20.6    19.7    19.7 1
-2011  8  6    20.4    19.6    19.6 1
-2011  8  7    17.6    16.8    16.8 1
-2011  8  8    17.1    16.3    16.3 1
-2011  8  9    17.0    16.2    16.2 1
-2011  8 10    14.7    13.9    13.9 1
-2011  8 11    14.8    14.0    14.0 1
-2011  8 12    14.7    13.9    13.9 1
-2011  8 13    16.2    15.4    15.4 1
-2011  8 14    18.0    17.2    17.2 1
-2011  8 15    18.9    18.1    18.1 1
-2011  8 16    18.1    17.3    17.3 1
-2011  8 17    17.2    16.5    16.5 1
-2011  8 18    18.0    17.3    17.3 1
-2011  8 19    16.6    15.9    15.9 1
-2011  8 20    15.5    14.8    14.8 1
-2011  8 21    16.7    16.0    16.0 1
-2011  8 22    16.7    16.0    16.0 1
-2011  8 23    16.9    16.2    16.2 1
-2011  8 24    16.0    15.4    15.4 1
-2011  8 25    18.6    18.0    18.0 1
-2011  8 26    19.3    18.7    18.7 1
-2011  8 27    20.0    19.4    19.4 1
-2011  8 28    17.7    17.1    17.1 1
-2011  8 29    15.4    14.8    14.8 1
-2011  8 30    13.6    13.1    13.1 1
-2011  8 31    15.1    14.6    14.6 1
-2011  9  1    14.3    13.8    13.8 1
-2011  9  2    14.2    13.7    13.7 1
-2011  9  3    15.1    14.6    14.6 1
-2011  9  4    16.8    16.3    16.3 1
-2011  9  5    18.7    18.2    18.2 1
-2011  9  6    15.8    15.4    15.4 1
-2011  9  7    14.2    13.8    13.8 1
-2011  9  8    14.4    14.0    14.0 1
-2011  9  9    14.5    14.1    14.1 1
-2011  9 10    13.6    13.2    13.2 1
-2011  9 11    15.1    14.7    14.7 1
-2011  9 12    15.8    15.5    15.5 1
-2011  9 13    15.1    14.8    14.8 1
-2011  9 14    14.7    14.4    14.4 1
-2011  9 15    12.2    11.9    11.9 1
-2011  9 16    12.3    12.0    12.0 1
-2011  9 17    11.3    11.0    11.0 1
-2011  9 18    13.1    12.8    12.8 1
-2011  9 19    13.5    13.2    13.2 1
-2011  9 20    13.6    13.3    13.3 1
-2011  9 21    12.2    11.9    11.9 1
-2011  9 22    12.9    12.6    12.6 1
-2011  9 23    11.7    11.4    11.4 1
-2011  9 24    11.6    11.3    11.3 1
-2011  9 25    13.6    13.3    13.3 1
-2011  9 26    13.8    13.5    13.5 1
-2011  9 27    12.7    12.4    12.4 1
-2011  9 28    12.8    12.5    12.5 1
-2011  9 29    16.0    15.7    15.7 1
-2011  9 30    15.5    15.2    15.2 1
-2011 10  1    13.6    13.3    13.3 1
-2011 10  2    13.6    13.3    13.3 1
-2011 10  3    13.2    12.9    12.9 1
-2011 10  4    14.1    13.8    13.8 1
-2011 10  5    12.2    11.9    11.9 1
-2011 10  6    13.0    12.7    12.7 1
-2011 10  7     8.7     8.4     8.4 1
-2011 10  8     7.7     7.4     7.4 1
-2011 10  9     6.2     5.9     5.9 1
-2011 10 10     8.6     8.3     8.3 1
-2011 10 11     7.6     7.4     7.4 1
-2011 10 12     6.2     6.0     6.0 1
-2011 10 13     5.7     5.5     5.5 1
-2011 10 14     4.8     4.6     4.6 1
-2011 10 15     6.7     6.5     6.5 1
-2011 10 16     7.2     7.0     7.0 1
-2011 10 17     5.1     4.8     4.8 1
-2011 10 18     7.9     7.6     7.6 1
-2011 10 19     6.8     6.5     6.5 1
-2011 10 20     5.7     5.4     5.4 1
-2011 10 21     4.5     4.2     4.2 1
-2011 10 22    10.6    10.3    10.3 1
-2011 10 23     8.6     8.3     8.3 1
-2011 10 24     5.6     5.3     5.3 1
-2011 10 25     7.9     7.6     7.6 1
-2011 10 26     8.2     7.9     7.9 1
-2011 10 27     8.8     8.5     8.5 1
-2011 10 28     9.0     8.7     8.7 1
-2011 10 29     7.9     7.6     7.6 1
-2011 10 30     8.8     8.4     8.4 1
-2011 10 31     9.5     9.1     9.1 1
-2011 11  1    10.8    10.4    10.4 1
-2011 11  2    10.4    10.0    10.0 1
-2011 11  3     9.7     9.3     9.3 1
-2011 11  4     8.5     8.1     8.1 1
-2011 11  5     8.1     7.7     7.7 1
-2011 11  6     8.5     8.1     8.1 1
-2011 11  7     7.3     6.9     6.9 1
-2011 11  8     6.0     5.6     5.6 1
-2011 11  9     6.4     6.0     6.0 1
-2011 11 10     6.1     5.7     5.7 1
-2011 11 11     3.4     3.0     3.0 1
-2011 11 12     1.4     1.0     1.0 1
-2011 11 13     2.9     2.4     2.4 1
-2011 11 14     5.2     4.7     4.7 1
-2011 11 15     4.6     4.1     4.1 1
-2011 11 16     3.1     2.6     2.6 1
-2011 11 17     3.7     3.2     3.2 1
-2011 11 18     3.7     3.2     3.2 1
-2011 11 19     6.2     5.7     5.7 1
-2011 11 20     5.0     4.5     4.5 1
-2011 11 21     6.2     5.7     5.7 1
-2011 11 22     3.0     2.5     2.5 1
-2011 11 23     5.7     5.2     5.2 1
-2011 11 24     7.0     6.5     6.5 1
-2011 11 25     8.2     7.7     7.7 1
-2011 11 26     5.2     4.7     4.7 1
-2011 11 27     9.4     8.9     8.9 1
-2011 11 28     4.5     4.0     4.0 1
-2011 11 29     6.1     5.6     5.6 1
-2011 11 30     6.6     6.1     6.1 1
-2011 12  1     5.3     4.8     4.8 1
-2011 12  2     3.1     2.6     2.6 1
-2011 12  3     2.0     1.5     1.5 1
-2011 12  4     4.4     3.9     3.9 1
-2011 12  5     1.5     0.9     0.9 1
-2011 12  6     0.5    -0.1    -0.1 1
-2011 12  7     1.8     1.2     1.2 1
-2011 12  8    -0.4    -1.0    -1.0 1
-2011 12  9     2.9     2.3     2.3 1
-2011 12 10     2.3     1.7     1.7 1
-2011 12 11     0.3    -0.3    -0.3 1
-2011 12 12     2.9     2.3     2.3 1
-2011 12 13     3.7     3.1     3.1 1
-2011 12 14     4.1     3.5     3.5 1
-2011 12 15     3.1     2.5     2.5 1
-2011 12 16     2.9     2.3     2.3 1
-2011 12 17     2.1     1.5     1.5 1
-2011 12 18     0.9     0.3     0.3 1
-2011 12 19     0.3    -0.3    -0.3 1
-2011 12 20     0.9     0.3     0.3 1
-2011 12 21     0.4    -0.2    -0.2 1
-2011 12 22    -0.4    -1.0    -1.0 1
-2011 12 23     3.7     3.1     3.1 1
-2011 12 24     3.2     2.6     2.6 1
-2011 12 25     4.2     3.5     3.5 1
-2011 12 26     8.2     7.5     7.5 1
-2011 12 27     8.3     7.6     7.6 1
-2011 12 28     2.6     1.9     1.9 1
-2011 12 29     4.9     4.2     4.2 1
-2011 12 30     0.6    -0.1    -0.1 1
-2011 12 31    -2.6    -3.3    -3.3 1
\ No newline at end of file

From 7ed3c697af812fe28dcf457b25010465bca45fa8 Mon Sep 17 00:00:00 2001
From: johnjasa 
Date: Sat, 7 Jan 2017 13:01:27 -0500
Subject: [PATCH 2/7] Removing unnecessary portions within files

---
 ...e-0-Scientific-Computing-with-Python.ipynb |  296 +-
 ...1-Introduction-to-Python-Programming.ipynb |  141 +-
 Lecture-4-Matplotlib.ipynb                    | 2468 +----------------
 3 files changed, 160 insertions(+), 2745 deletions(-)

diff --git a/Lecture-0-Scientific-Computing-with-Python.ipynb b/Lecture-0-Scientific-Computing-with-Python.ipynb
index 0493c6c..f8a8710 100644
--- a/Lecture-0-Scientific-Computing-with-Python.ipynb
+++ b/Lecture-0-Scientific-Computing-with-Python.ipynb
@@ -11,118 +11,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "J.R. Johansson (jrjohansson at gmail.com)\n",
-    "\n",
-    "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n",
-    "\n",
-    "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## The role of computing in science"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Science has traditionally been divided into experimental and theoretical disciplines, but during the last several decades computing has emerged as a very important part of science. Scientific computing is often closely related to theory, but it also has many characteristics in common with experimental work. It is therefore often viewed as a new third branch of science. In most fields of science, computational work is an important complement to both experiments and theory, and nowadays a vast majority of both experimental and theoretical papers involve some numerical calculations, simulations or computer modeling.\n",
-    "
\n",
-    "\n",
-    "
\n",
-    "\n",
-    "In experimental and theoretical sciences there are well established codes of conducts for how results and methods are published and made available to other scientists. For example, in theoretical sciences, derivations, proofs and other results are published in full detail, or made available upon request. Likewise, in experimental sciences, the methods used and the results are published, and all experimental data should be available upon request. It is considered unscientific to withhold crucial details in a theoretical proof or experimental method, that would hinder other scientists from replicating and reproducing the results.\n",
-    "\n",
-    "In computational sciences there are not yet any well established guidelines for how source code and generated data should be handled. For example, it is relatively rare that source code used in simulations for published papers are provided to readers, in contrast to the open nature of experimental and theoretical work. And it is not uncommon that source code for simulation software is withheld and considered a competitive advantage (or unnecessary to publish). \n",
-    "\n",
-    "However, this issue has recently started to attract increasing attention, and a number of editorials in high-profile journals have called for increased openness in computational sciences. Some prestigious journals, including Science, have even started to demand of authors to provide the source code for simulation software used in publications to readers upon request. \n",
-    "\n",
-    "Discussions are also ongoing on how to facilitate distribution of scientific software, for example as supplementary materials to scientific papers."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### References"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    " * [Reproducible Research in Computational Science](http://dx.doi.org/10.1126/science.1213847), Roger D. Peng, Science 334, 1226 (2011).\n",
-    "\n",
-    " * [Shining Light into Black Boxes](http://dx.doi.org/10.1126/science.1218263), A. Morin et al., Science 336, 159-160 (2012).\n",
-    " \n",
-    " * [The case for open computer programs](http://dx.doi.org/doi:10.1038/nature10836), D.C. Ince, Nature 482, 485 (2012)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Requirements on scientific computing"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Replication** and **reproducibility** are two of the cornerstones in the scientific method. With respect to numerical work, complying with these concepts have the following practical implications:\n",
-    "\n",
-    "* Replication: An author of a scientific paper that involves numerical calculations should be able to rerun the simulations and replicate the results upon request. Other scientist should also be able to perform the same calculations and obtain the same results, given the information about the methods used in a publication.\n",
-    "\n",
-    "* Reproducibility: The results obtained from numerical simulations should be reproducible with an independent implementation of the method, or using a different method altogether. \n",
-    "\n",
-    "\n",
-    "In summary: A sound scientific result should be reproducible, and a sound scientific study should be replicable.\n",
-    "\n",
-    "\n",
-    "To achieve these goals, we need to:\n",
-    "\n",
-    "* Keep and take note of *exactly* which source code and version that was used to produce data and figures in published papers.\n",
-    "\n",
-    "* Record information of which version of external software that was used. Keep access to the environment that was used.\n",
-    "\n",
-    "* Make sure that old codes and notes are backed up and kept for future reference. \n",
-    "\n",
-    "* Be ready to give additional information about the methods used, and perhaps also the simulation codes, to an interested reader who requests it (even years after the paper was published!).\n",
-    "\n",
-    "* Ideally codes should be published online, to make it easier for other scientists interested in the codes to access it."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Tools for managing source code"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Ensuring replicability and reprodicibility of scientific simulations is a *complicated problem*, but there are good tools to help with this:\n",
-    "\n",
-    "* Revision Control System (RCS) software. \n",
-    "    * Good choices include:\n",
-    "        * git - http://git-scm.com\n",
-    "        * mercurial - http://mercurial.selenic.com. Also known as `hg`.\n",
-    "        * subversion - http://subversion.apache.org. Also known as `svn`.\n",
-    "\n",
-    "* Online repositories for source code. Available as both private and public repositories. \n",
-    "    * Some good alternatives are\n",
-    "        * Github - http://www.github.com\n",
-    "        * Bitbucket - http://www.bitbucket.com\n",
-    "        * Privately hosted repositories on the university's or department's servers.\n",
-    "\n",
-    "#### Note\n",
-    "\t\n",
-    "Repositories are also excellent for version controlling manuscripts, figures, thesis files, data files, lab logs, etc. Basically for any digital content that must be preserved and is frequently updated. Again, both public and private repositories are readily available. They are also excellent collaboration tools!"
+    "Adapted by John Jasa (johnjasa@umich.edu) from work by J.R. Johansson (jrjohansson at gmail.com)"
    ]
   },
   {
@@ -197,37 +86,6 @@
     "* No license costs, no unnecessary use of research budget.\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### The scientific python software stack"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    ""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Python environments"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Python is not only a programming language, but often also refers to the standard implementation of the interpreter (technically referred to as [CPython](http://en.wikipedia.org/wiki/CPython)) that actually runs the python code on a computer.\n",
-    "\n",
-    "There are also many different environments through which the python interpreter can be used. Each environment has different advantages and is suitable for different workflows. One strength of python is that it is versatile and can be used in complementary ways, but it can be confusing for beginners so we will start with a brief survey of python environments that are useful for scientific computing."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -463,156 +321,6 @@
     " * [Python tutorials](http://docs.python.org/2/tutorial). The official Python tutorials.\n",
     " * [Think Python](http://www.greenteapress.com/thinkpython). A free book on Python."
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Python and module versions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Since there are several different versions of Python and each Python package has its own release cycle and version number (for example scipy, numpy, matplotlib, etc., which we installed above and will discuss in detail in the following lectures), it is important for the reproducibility of an IPython notebook to record the versions of all these different software packages. If this is done properly it will be easy to reproduce the environment that was used to run a notebook, but if not it can be hard to know what was used to produce the results in a notebook.\n",
-    "\n",
-    "To encourage the practice of recording Python and module versions in notebooks, I've created a simple IPython extension that produces a table with versions numbers of selected software components. I believe that it is a good practice to include this kind of table in every notebook you create. \n",
-    "\n",
-    "To install this IPython extension, use `pip install version_information`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting version-information\n",
-      "Installing collected packages: version-information\n",
-      "Successfully installed version-information-1.0.3\n"
-     ]
-    }
-   ],
-   "source": [
-    "# you only need to do this once\n",
-    "!pip install --upgrade version_information"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or alternatively run (deprecated method):"
-   ]
-  },
-  {
-   "cell_type": "raw",
-   "metadata": {
-    "collapsed": false
-   },
-   "source": [
-    "# you only need to do this once\n",
-    "%install_ext http://raw.github.com/jrjohansson/version_information/master/version_information.py"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, to load the extension and produce the version table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/json": {
-       "Software versions": [
-        {
-         "module": "Python",
-         "version": "2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]"
-        },
-        {
-         "module": "IPython",
-         "version": "3.2.1"
-        },
-        {
-         "module": "OS",
-         "version": "Darwin 14.1.0 x86_64 i386 64bit"
-        },
-        {
-         "module": "numpy",
-         "version": "1.9.2"
-        },
-        {
-         "module": "scipy",
-         "version": "0.16.0"
-        },
-        {
-         "module": "matplotlib",
-         "version": "1.4.3"
-        },
-        {
-         "module": "sympy",
-         "version": "0.7.6"
-        },
-        {
-         "module": "version_information",
-         "version": "1.0.3"
-        }
-       ]
-      },
-      "text/html": [
-       "
SoftwareVersion
Python2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]
IPython3.2.1
OSDarwin 14.1.0 x86_64 i386 64bit
numpy1.9.2
scipy0.16.0
matplotlib1.4.3
sympy0.7.6
version_information1.0.3
Sat Aug 15 10:38:48 2015 JST
"
-      ],
-      "text/latex": [
-       "\\begin{tabular}{|l|l|}\\hline\n",
-       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
-       "Python & 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)] \\\\ \\hline\n",
-       "IPython & 3.2.1 \\\\ \\hline\n",
-       "OS & Darwin 14.1.0 x86\\_64 i386 64bit \\\\ \\hline\n",
-       "numpy & 1.9.2 \\\\ \\hline\n",
-       "scipy & 0.16.0 \\\\ \\hline\n",
-       "matplotlib & 1.4.3 \\\\ \\hline\n",
-       "sympy & 0.7.6 \\\\ \\hline\n",
-       "version_information & 1.0.3 \\\\ \\hline\n",
-       "\\hline \\multicolumn{2}{|l|}{Sat Aug 15 10:38:48 2015 JST} \\\\ \\hline\n",
-       "\\end{tabular}\n"
-      ],
-      "text/plain": [
-       "Software versions\n",
-       "Python 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]\n",
-       "IPython 3.2.1\n",
-       "OS Darwin 14.1.0 x86_64 i386 64bit\n",
-       "numpy 1.9.2\n",
-       "scipy 0.16.0\n",
-       "matplotlib 1.4.3\n",
-       "sympy 0.7.6\n",
-       "version_information 1.0.3\n",
-       "Sat Aug 15 10:38:48 2015 JST"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%load_ext version_information\n",
-    "\n",
-    "%version_information numpy, scipy, matplotlib, sympy, version_information"
-   ]
   }
  ],
  "metadata": {
@@ -631,7 +339,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/Lecture-1-Introduction-to-Python-Programming.ipynb b/Lecture-1-Introduction-to-Python-Programming.ipynb
index 3fa1cd7..7b80c9f 100644
--- a/Lecture-1-Introduction-to-Python-Programming.ipynb
+++ b/Lecture-1-Introduction-to-Python-Programming.ipynb
@@ -11,11 +11,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "J.R. Johansson (jrjohansson at gmail.com)\n",
-    "\n",
-    "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n",
-    "\n",
-    "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)."
+    "Adapted by John Jasa (johnjasa@umich.edu) from work by J.R. Johansson (jrjohansson at gmail.com)"
    ]
   },
   {
@@ -117,72 +113,6 @@
     "!python scripts/hello-world.py"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Character encoding"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The standard character encoding is ASCII, but we can use any other encoding, for example UTF-8. To specify that UTF-8 is used we include the special line\n",
-    "\n",
-    "    # -*- coding: UTF-8 -*-\n",
-    "\n",
-    "at the top of the file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "#!/usr/bin/env python\r\n",
-      "# -*- coding: UTF-8 -*-\r\n",
-      "\r\n",
-      "print(\"Hej världen!\")\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "cat scripts/hello-world-in-swedish.py"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Hej världen!\r\n"
-     ]
-    }
-   ],
-   "source": [
-    "!python scripts/hello-world-in-swedish.py"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Other than these two *optional* lines in the beginning of a Python code file, no additional code is required for initializing a program. "
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1313,7 +1243,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Compound types: Strings, List and dictionaries"
+    "## Compound types: Strings, lists and dictionaries"
    ]
   },
   {
@@ -1748,7 +1678,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### List"
+    "### Lists"
    ]
   },
   {
@@ -3844,69 +3774,6 @@
     "* http://www.greenteapress.com/thinkpython/ - A free book on Python programming.\n",
     "* [Python Essential Reference](http://www.amazon.com/Python-Essential-Reference-4th-Edition/dp/0672329786) - A good reference book on Python programming."
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Versions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 131,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/json": {
-       "Software versions": [
-        {
-         "module": "Python",
-         "version": "2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]"
-        },
-        {
-         "module": "IPython",
-         "version": "3.2.1"
-        },
-        {
-         "module": "OS",
-         "version": "Darwin 14.1.0 x86_64 i386 64bit"
-        }
-       ]
-      },
-      "text/html": [
-       "
SoftwareVersion
Python2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]
IPython3.2.1
OSDarwin 14.1.0 x86_64 i386 64bit
Sat Aug 15 10:51:55 2015 JST
"
-      ],
-      "text/latex": [
-       "\\begin{tabular}{|l|l|}\\hline\n",
-       "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n",
-       "Python & 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)] \\\\ \\hline\n",
-       "IPython & 3.2.1 \\\\ \\hline\n",
-       "OS & Darwin 14.1.0 x86\\_64 i386 64bit \\\\ \\hline\n",
-       "\\hline \\multicolumn{2}{|l|}{Sat Aug 15 10:51:55 2015 JST} \\\\ \\hline\n",
-       "\\end{tabular}\n"
-      ],
-      "text/plain": [
-       "Software versions\n",
-       "Python 2.7.10 64bit [GCC 4.2.1 (Apple Inc. build 5577)]\n",
-       "IPython 3.2.1\n",
-       "OS Darwin 14.1.0 x86_64 i386 64bit\n",
-       "Sat Aug 15 10:51:55 2015 JST"
-      ]
-     },
-     "execution_count": 131,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%load_ext version_information\n",
-    "\n",
-    "%version_information"
-   ]
   }
  ],
  "metadata": {
@@ -3925,7 +3792,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "version": "2.7.12"
   }
  },
  "nbformat": 4,
diff --git a/Lecture-4-Matplotlib.ipynb b/Lecture-4-Matplotlib.ipynb
index c0c060c..6d9a6f5 100644
--- a/Lecture-4-Matplotlib.ipynb
+++ b/Lecture-4-Matplotlib.ipynb
@@ -11,16 +11,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "J.R. Johansson (jrjohansson at gmail.com)\n",
-    "\n",
-    "The latest version of this [IPython notebook](http://ipython.org/notebook.html) lecture is available at [http://github.com/jrjohansson/scientific-python-lectures](http://github.com/jrjohansson/scientific-python-lectures).\n",
-    "\n",
-    "The other notebooks in this lecture series are indexed at [http://jrjohansson.github.io](http://jrjohansson.github.io)."
+    "Adapted by John Jasa (johnjasa@umich.edu) from work by J.R. Johansson (jrjohansson at gmail.com)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -65,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -83,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
@@ -95,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {
     "collapsed": true
    },
@@ -124,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -149,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -161,16 +157,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
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waOEG4BjXPyIpUhoCEmm8TkBboB2wV+RaRJpMRwAijWRm0whrz3cH9nf34ZFL\nEmmSFrELECkmZnYRsNndJ5pZM+BVMyt394rIpYk0mo4ARERSSucARERSSgEgIpJSCgARkZRSAIiI\npJQCQEQkpRQAIiIppQAQEUkpBYCISEr9fzFpTPXhTXEfAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -195,16 +191,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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WzeGimjohKv5oKBEpU6bAzTcH7kIkSWHOeq1wEb+09T8SFiyALl0CRf2kk3yn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\nTkSuQmCC\n",
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j4+nHmbFtBoLQ8+aetuOoAKVz6L6uXj146y04cADatrWdRhXQ5I2TycjOoF3d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\nAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -247,16 +243,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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/7ILCOVcB7J2M92dgkibjgZk9B7wNHGdmq8zsJ6FrCs3M+gKDgTPTl/gtSt/n\npJj9DfCGmaXw4zWznHOvBq5J4qcjMC89ljUfeMk5N/tgb47d5bEiIhIvsesoREQkXhQUIiJSJwWF\niIjUSUEhIiJ1UlCIiEidFBQiIlInBYWIiNRJQSEiInVSUIgcIjPrmb4BTAsza2NmHxb7QnxSWDQz\nWyQLzOzXwGHpx1+cc6MDlySSNQoKkSwws+b4BS2/AU53+oclBUSnnkSy42igLdAOaBW4FpGsUkch\nkgVmNh1/r4NuwHedc8MDlySSNc1CFyCS78zsWmCXc26SmTUB3jKzhHMuGbg0kaxQRyEiInXSGIWI\niNRJQSEiInVSUIiISJ0UFCIiUicFhYiI1ElBISIidVJQiIhInf4/N0+YF/9LhA8AAAAASUVORK5C\nYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -284,16 +280,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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gByCkC0WhQoV47733aNeuHRkZGQwYMIA6deq4HUsksG3YALfcAiNHOstzSFDL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\nB/xgrU0EMMZMAroCuReK3H7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PAKDl5S21toSIp0aPhj/8wfn+73+Hp592tx4pkFoUXpIVFGpNiHjotdd+C4l3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\nhQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -328,16 +324,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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waOEG4BjXPyIpUhoCEmm8TkBboB2wV+RaRJpMRwAijWRm0whrz3cH9nf34ZFL\nEmmSFrELECkmZnYRsNndJ5pZM+BVMyt394rIpYk0mo4ARERSSucARERSSgEgIpJSCgARkZRSAIiI\npJQCQEQkpRQAIiIppQAQEUkpBYCISEr9fzFpTPXhTXEfAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -355,16 +351,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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0uvNOP+1TMktdQHF45hm/v88NN/iVkBakm1kkWitX+gv+6NFQWQmNG4eOSEqk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\nUqZUAYiIlClVACIiZer/ATIsl5DbY4t8AAAAAElFTkSuQmCC\n",
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Zv3fd5S8YyQbK7Z/jnG/uGTMGtt/eT2jUbN9gghQA59x8QFtWbc4nn/iO3vXr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\nAiAikqNUAEREcpQKgIhIjlIBEBHJUf8PjhOr5FPj1IoAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -392,16 +388,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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MWrTwI6levdSg8pSaVC6tWuVHT3ffDW+8AY0ahU4kEk/TpsERR8AOO/hJRzVr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\nSkREIuv/AQVSRBlr/kglAAAAAElFTkSuQmCC\n",
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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -436,7 +432,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -444,7 +440,7 @@
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -464,16 +460,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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7pfS3KtQjSZIq4bXX4Oc/z73L993X2T56dF4N49RT4aCD3JxE6kV/epzHAA9FxCPA1cB/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\nSZIk9YPBWZIkSeoHg7MkSZLUD/8fUehQrGVSLKEAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -505,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -523,7 +519,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -571,7 +567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -591,7 +587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -612,7 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -632,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -654,7 +650,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -662,10 +658,10 @@
     {
      "data": {
       "text/plain": [
-       ""
+       ""
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -688,16 +684,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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BfvzjI0mgUyeoV6/knxnXicHMmgAvAY2AEPB3d3/GzFKBV4E04DvgOnffXcT5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\nICIiBSgxiIhIAUoMIiJSgBKDiIgU8P8BSBXVKQeTtDcAAAAASUVORK5CYII=\n",
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il8/5+NeX/2L8h+M5kHOABtUaMOOGGVza7FKvS5MQUjCISLHW7VrHLbNu4bO0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\ndukrJxxGAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -735,16 +731,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Sa6ZzzYnXBF3KQamrSkQkYMs3LefhiQ8z6TeTiIerRajFISISIHfn5rE3c9vpt9Emo03Q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\nY+Q63oOjMdDY3b8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p8BOQCQx2zgXdjSUiEg5+OfgLD0x/AIAXr3qRWpVreVxRLk+DwznX/wSLCr3voXPuaeDp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\nAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -771,7 +767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -783,16 +779,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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nN39GKQnP3/3tHpAxxgSZycsns2jHIn6+++ewDZ/CsAAyxphi9OOOH3ly/pP8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\nVwsLMBG5FRiP0zuuCaTg9BD3qmprN2s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OOCEWV+7VGWNMGWTmZDL4/cEkpSdxSatLmH75dLdLCqpwC6B4nCHU3QvuFJEI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\nV6Me9WpG0qBWJA1qR9KobiSN60bSpF4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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -819,7 +815,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -831,16 +827,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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b5QQ8f47kWoAC/1bVVABV3Qu8BFwCRHv6eU+SZHm2J0uhRmNMADuQeIBbPrqF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\nhAAAAABJRU5ErkJggg==\n",
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NKpWvVCLva6FijDGljKryly//QponjSEdhtCneZ8Se28LFWOMKWXeX/c+C7YtoHal2jzf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\nAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -867,7 +863,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -878,16 +874,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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MIBNASx/7q0NXWt/kvn51L4aE3hvaPnzPRX5VVVWYM2cO8vOP9s9WVFTA5XJ1mSEVTi6X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\nz7d7OgPCNzDa3e2YkDQBp49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HcMsrtwAANvx0A2acPsPiiuzF/4/sgoKCPf091pYn4FW1rpfNbgCVMILDXzwA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\n//r9LtsnOyYjb0beiJ90sa3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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -907,7 +903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -940,7 +936,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -948,10 +944,10 @@
     {
      "data": {
       "text/plain": [
-       "[]"
+       "[]"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -971,7 +967,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -979,18 +975,18 @@
     {
      "data": {
       "text/plain": [
-       "[]"
+       "[]"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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eNQRvzk/azjHdm9Fz9J3g8Mf7BGcQ/S9gaduZM5nh7o3uvr39F8Hh1EZ3z+pZ\nVYOAHxHMzR0Ec3SBu79d6AlK00VEUkJpuohISmhgi4ikhAa2iEhKaGCLiKSEBraISEpoYIuIpIQG\ntohISmhgi4ikhAa2iEhK/H8raHUic/lKxQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1021,16 +1017,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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MeSrEhLghl3NdFGUXwa0RG3KD2wdDPqhuNbnULsxycUMu57oozimGuz8bckO7hNZLyK0P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\n2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juboRG4OR3Pk0qGI1Z+mda1V3BRuFXKmoZZh1GtoujMdVQy6xvXPnzuHGjRuBUvcXRAfN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nACQMkl4QhVyXWupKfkph6UXEIIqR6U4ShSFcktKACaNaPkpgpsVyCh0BFilFxCCIkulOEqwEou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\nhgkhhBBCSMry/5GLiBFh2BSYAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1098,16 +1094,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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UROLIfoiqkUBXETlDRCoCXYHhYQtqTIQYtcyaZhg3Vm5fybR102hfv73rKCaH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\npzxggJlEIjVxhdi5Exa/lp6E9ASmrJvCN798w0u9X+LF3i9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AB2Ay8CnQTESuEpFE4HEgTVWX+ZnZ5M+4ReNYu2stjSo34rJGl/kdxxyDVaCN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\nm6i2Zw+88IL72bsXROCmm+CJJ6Bu3fA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BB3D5shlr1MjkNz/1FJSR8HUZYqAFy5l1YBZT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\nAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1146,16 +1142,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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n12RVM8ZsEZEFwBhjzCjX/ueB540xdVM4t3YIVcrPnE88T4lPSrC+w3quK3id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\nwoWZ64GB1PB08aI7VZfecdqxY3rfmjXueihjjKO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OS5mFqGshXpzORlSBZOuRrYyMHsm0NdNISE4AbLmXyKaRNC7X2OHonOe12YjG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\nbCxcdNHQXqucHHfqNcaY6SwUSz98AIy55Laqvg4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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1189,29 +1185,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
+      "image/png": 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BSQns2AGZmc5SGwpxIiJN1No9a5m1ehaz18xmT8EeACJMBCNOHEFaShpX9L1C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\nxsQDf8S5lioKOAn4DbAR+NR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       "text/plain": [
-       "[,\n",
-       " ,\n",
-       " ,\n",
-       " ]"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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Vg1pmZvX9ExKgRw//smRJcJ+t8CYiEqa2H9peOi265eCW0vaBXQYyqf8krjvj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\nRERERMLI/wfFj/lmtUIF5gAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1254,16 +1237,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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V3m3lSu9+61a4/fbwtqGwF2kFCksKeWb1M9y19C4+3/k5AEltkrhyxJXccNIN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\nIJgTZnY5cBrwZm1t/B7GAV1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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1294,16 +1277,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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oCIadO72uo9CupH79oEWUh4wUFiJN0O4Du3l88eNMWzKNId2GMPGsiZzf+3zM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\n",
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EJNpV3Rr2kmGX0KNTD7/LUXCIiESzwrJCnvnyGcD/RvEqCg4RkSj2ytJX2FO8h7GHjGVU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\n6I/cPvZ2dbWNQwo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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1332,7 +1315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "metadata": {
     "collapsed": false
    },
@@ -1359,16 +1342,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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IGgoCkTp8zkfO9pza4Z53v3mXKt+BawOmdkrl20O+zbRh/k/9w7oPi4jTOzjn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\n6WekwgAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1404,16 +1387,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 44,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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czXNoULsB3931XY1qquxF1gq0IrvkYtU8pq2bxtAvhlLgLOCxSx9j1qBZlTZV\nVs3FX6Sx8hG7jIGxSx5gvVxO5Jzgmk+u4fuk72laryk/3fMTf2v3N48ea7VcBMhagdZkl1yslofW\nmld/eZUHv30QjeaVq19h0rWTPJrA2Gq5+FvNOHcnhMkOZR7imk+uYfPRzbRt1JYlw5bQsWlHs8MS\nQohKObWTfy35F5PWTEKheG/Aezxw8QNmh2VZ0lj5SLCuS1eaXfIA6+SyK20XcbPj2JO+h/Obns+S\nYUto06hNlZ7DKrkIIWqWQmch9319Hx9t/IhaIbX4ZMgn3NblNrPDsjRprITwoz+P/Mm1n1zL4VOH\nueSsS1h812Ka1mtqdlhCCFGp3MJchn4xlIXbF1KvVj3m3zafaztca3ZYlidjrHzELmNg7JIHmJ/L\nrym/cuWsKzl86jD92vVj2d3Lqt1UmZ2LEKJmycjL4LpPrmPh9oVE1Y1i2d3LpKnykJyxEsIPFu9c\nzC3zbiGnMIchnYbw2ZDPavxsxPaTbHYAPlPeWmrByi65mJnH0ayj/P3Tv7P+0Hpa1W/FkuFL6Nq8\na7Wfzy7viadkHishfOzTPz8lfmE8hc5CRnYfybSB0wgNCTU7LMuQeayEsK696XuJmx3HzrSddGjc\ngSXDltAuqp3ZYVmGzGMlRIBNXjuZYQuGUegs5InLn2DGDTOkqRJCBIWtx7bSe2Zvdqbt5MIWF7Jy\nxEppqqpBGisfscsYGLvkAYHNRWvNCwkvMOY7YwHlCf0nMCFuQrnr/lWHnd4XIYT1rD2wlitmXcGB\nzAP0aduHhPgEWtRvYXZYQUnGWAnhJad28uh3jzL598mEqBCmD5zOyB4jzQ5LCCE88uPuHxk8ZzBZ\nBVkMOHcA826dR71a9cwOK2jJGCshvFDgKCB+YTyfbfqM2qG1+d/N/2NIpyFmh2VpMsZKCOv4cuuX\n3Dn/TvId+QzrNoyZN86kVmgts8OyLBljJYQfZRdkM3juYD7b9Bn1a9dn8Z2LpamqUWStQCuySy6B\nyGPGHzO47YvbyHfk80jPR/ho8Ed+aars8p54yieNlVLqXKVUrlJqdrF9/ZRSfymlspRSy5VSbX3x\nWlZllzEwdskD/JtLem46135yLYt3LqZJeBOW372cfu37+e317PS+WE3161d0AKP0Lzt98NklF3/n\nMWHlBO7/5n6c2smLfV/kreve8mjdv+qwy3viKV/9V5wCrAU0gFKqKfAl8DQQBawD5vrotYQw1eFT\nh7nqw6s7zSEUAAAe0klEQVRYmbKSsxuezcp7V3JJ60vMDktUn9QvUWNorXli6RM8tewpFIop10/h\n2aue9dmFNsIHg9eVUkOBE8BWoINr9xBgs9b6S9cx44HjSqnztNY7vH1NK7LLWm52yQP8k8ueE3uI\nmx3HrhO76NikI0uGL6FtI/+fjLXT+2IlUr9ETVLoLOSBRQ8wM3EmYSFhfDz4Y+644A6zw7Idr85Y\nKaUaAi8AY4Hi7W4XYKN7Q2udDSQB1Z+6VQiTbTqyid4ze7PrxC4uanURv4z4JSBNlfAPqV+iJskt\nzOW2z29jZuJMwsPCWXTHImmq/MTbnwJfAt7XWh/EOI3uvkQmAsgodWwGUN/L17Msu4yBsUse4Ntc\nVu9bzZUfXsmhU4f4W/TfWH7PcppFNPPZ81fGTu+LhUj9EjVCZl4mAz4bwIK/FhBZN5If7/6R6zpc\nZ3ZYtlXtnwKVUrFAP6C7exenv/WdAhqWekgjILP088THxxPtWkgoMjKS2NjYop893B8msh247cTE\nREvF4812YmKiT54v7+w8hswbQvaObHq37c3iuxZTN6yu6fkFy7b778kWGsHqm/qVSnz8+KKt2Ni+\nxMb2JTq6/LXRkpPLH8RrheMPHwb322WFeLw5PqyCT7Vgid99fOnHVPf503PSeXLZk+w47iAq/CY+\nvfcVLm/Tye/xl95n9n/P6h6fkJBAQkIC6emQnl72+PJUex4rpdSjwCucLjb1gVBgGzAVuEdr3cd1\nbARwDIgtPkZB5oERVjd381yGLxhOgbOAEbEjmH7DdMJCZF5db1hhHiupX6Im2HdyH3Gz49ieup32\nUe1ZOnwp7aPamx1WUPOkfnnTWIUDDdybwD8xrj9+0LWdBNwLLAZeBPporS8v9RxSmIQlaa2Z8vsU\nHvnuETSaxy97nP8X9//kyhkfsEhjJfVL2Nrmo5u5/tPr2ZexjwuaX8APw36gVYNWZocV9Pw6QajW\nOkdrfdR1O4Jx+jxHa52qtT4O3IzxjTANuBgYWt3XCgZ2GQNjlzyg+rnsz9jPwP8NZMx3Y9BoXuv3\nmulNlZ3eFyuQ+iXsqtBZyOsrX+fi6RezL2Mfvdv0ZkX8CmmqAshnv2lorV8otb0MKPtDrhAWpbVm\n5oaZjFsyjoy8DCLrRjLl+incecGdZocm/Ezql7CDzUc3M2LhCNYdXAfAyO4jeefv78i6fwEmawUK\nAaScTGHUolEs2bUEgBs73sjUAVPlW54fWOGnQF+Q+iWsosBRwP/9+n+8sOIFCpwFtG3Ulhk3zOCa\nmGvMDs12PKlfMgpX1Ghaa2asn8E/l/yTzPxMGoc35t2/v8sdXe+Q8VSiEvZaK7C8K6eCkV1y8TSP\nP4/8SfxX8Ww4vAGABy96kAlxE2hYp/SFreaxy3viKVmE2UfsMgbGLnlA5bkkpycTNzuOB755gMz8\nTIZ0GsKWh7Zw5wV3Wq6pstP7Yh/RZgfgMxaaCcNrdsmlsjzyHfm8kPACF02/iA2HNxAdGc2Pw3/k\nvYHvWaqpAvu8J56SM1aixnFqJ1PXTeWJpU+QVZBF03pNmXL9FG7tfKvlGiohhChtw6ENjFg4go1H\njAUCRl8ymtf7v0792jKHrRVIY+UjdlnLzS55QPm57D6xm5FfjyQhOQGA27rcxuS/Tw7oLOrVYaf3\nRQhRPfmOfF7++WVeW/kahc5C2ke154MbP6BvdF+zQxPFSGMlagSndjJl7RSeWvYU2QXZNKvXjP8O\n+C+3dL7F7NCEEKJS6w6uY8TCEWw+uhmF4pGej/Bqv1eJqB1hdmiiFBlj5SN2GQNjlzzgdC47U3fS\n98O+PPL9I2QXZHNH1zvYOnprUDVVdnpfhBCeyyvM4z/L/kOv93ux+ehmzm18Lj+P+Jm3//62NFUW\nJWeshG05nA7eXP0mTy9/mpzCHFpEtGDqwKkMPn+w2aEJW0g2OwCfsdMVW3bJJToa1h5Yy4iFI9h6\nbCsKxbhe43jp6peCbl4qu7wnnpJ5rIQtbT++nXu/vpdV+1YBMLzbcN667i0ahzc2OTIh81gJcWY5\nBTk8n/A8b6x+A6d20rFJR2YOmsnlbS6v/MHCr2QeK1HjOJwOJq2exHMJz5FbmMtZDc5i2sBpDDxv\noNmhCSFEpVbvW82IhSPYnrqdEBXCE5c/wfi+4wmvFW52aMJDMsbKR+wyBiaY89h6bCu9Z/bmiR+f\nILcwl2tDr2XzPzbboqkK5vdFCFG57IJsHv/hcXrP7M321O10btaZVfeuYkLcBGmqgoycsRJBr9BZ\nyMRVE3k+4XnyHfmc3fBspg+cTviBcKLCo8wOT7hoDfv3mx2FENbzy95fuPfre0lKSyJUhfJk7yd5\n7qrnqBNWx+zQRDGnTnl2nIyxEkGt9KKj93W/j4nXTKRR3UYmRyZyc2H9eli9+vTt4EEAGWMlBEBW\nfhb/WfYf3l37LhpN1+Zd+XDQh1x01kVmh1bjaQ1JSSXr16ZN4HTKGCthUwWOAib8OoEXV7woi45a\nxL59JYvQhg2Qn1/ymMhISE83Jz7fk7UCrShYclmRvIJ7v76X3Sd2ExYSxr/7/Junr3i66CxVsOTh\niWDI5dQp+P330/VrzRo4frzkMWFh4HRW/lzVbqyUUrWB94B+QGNgF/BvrfX3rvv7AVOANsBvQLzW\nOqW6r2d1CQkJtpgdOxjy8HTR0WDIxVNWyyUvr+zZqAMHSh6jFHTtCpdddvp23nkQGmpOzKV5X8Oi\nAxuwHwXDB5+nrJ7LqfxTPPXjU0z5fQoAF7a4kFmDZtG9VfcSx1k9j6qwWi5aw65dZc9GORwlj2vR\nomT9uugiiPBg6jBvzliFASnAlVrrFKXUAGCeUqorkA3MB+4FFgEvA3OBy7x4PVHD5Tvyee2X13j5\nl5cpdBYSHRnNBzd+wNXtrjY7NNvbv79kEVq/vvyzUb16nS5CPXtCI2v/Iis1TATU8j3LGfn1SJLT\nkwkLCePZK5/lqT5PUTu0ttmh2VpWVtmzUceOlTwmNNRonIo3UtHRxhfEqvLpGCul1EbgBaApcLfW\nuo9rfz3gOBCrtd5R7HgZoyAqVeAo4IutX/DqylfZfHQzIIuO+lNenvEzXvFGqrxB5507w+WXny5C\nHTtCiAfXGVt5Hquq1DCl+mqtE8wK1acSEsBCJ0S9YsVcEg8nMnHVRD7d9CkAPVr1YNagWXRr0a3C\nx1gxj+oKZC5aw+7dJevXn3+WPRvVvHnJJurii6GeB/OuBnQeK6VUC+A8YDMwGtjovk9rna2USgK6\nAjvKfwYhSjqRc4IZ62fw7tp32Z9hfLLLoqO+d+BA2bNReXklj2nUCC699HQRuvRS4wyVnUgNE77k\n1E6+3fEtb655k5+SfwKgVkgtnr/qeZ7o/QS1QmuZHKE9ZGXBunUlz0YdPVrymNBQ6NGjZCPVrl31\nzkZ5wieNlVKqFvAp8KHWeodSKgIodaKNDMC2pxesNgamuqyQR1JaEm+veZtZibPIKsgCoFPTTjzW\n6zGGdxvu8ZwuVsjFV3yVy9GjRuO0fj388YdxenzfvrLHde5sFB/3T3udOnl2NipYSQ0TvpKVn8XH\nGz/mrd/eYkeq0YM3qN2Akd1H8silj9Auqp3JEQavnBxjLFTxGrZxY9mzUc2alT0b5cnYKF/xurFS\nSoUAs4Fc4GHX7lNAw1KHNgIySz8+Pj6eaNeotsjISGJjY4s+QNyTIsp24LYTExNNeX2tNe/MfYfP\nt37OqtBVaDTsgYvOuoiX732Za2Ku4ecVP/Pbr795/PyJiYkBi99q21rDl18msGMHFBT0Zf16WLUq\nwXWVi3E8GMc3bNiXSy+FVq0S6NIFRo3qS1TU6efr0sW7eNx/T05OxoqqX8NSiY8fX7QVG9uX2Ni+\nREeXP1A3Odm4lWaF4w8fNn6usUo83hwfVsGnmr/jWbPpMO8uWcTX27/mVH4m0IoW9btz39X9+df1\nt5aZAqay5y/9GsHy37+846Ojq/78W7fC8uWwY4dx27nTeHzpq/JCQ6F7d+jSBdq2Nb4UnnXW6bNR\n55xTflPlaTwJCQkkJCSQnu75Fc1ejbFSSilgJtAWuF5rnefaPwq4p9j4BPe3PxljJUoocBQwb8s8\nJq2ZxPpD6wGoHVqbYRcM47Fej3FBiwtMjtD6tIaUlJLf4tavhyNHyh5bv75RhHr0MAZq9ugR+LNR\nVhpj5U0Nk/olANYfWs+ba95kzuY5FDoLAeh1di/G9RrHTZ1uIixEZjWqzMmTkJhYsn799ZdR24oL\nCTHqVY8eJW/1A3ge2ZP65W1jNRW4EOivtc4qtr8pkIRxRc1i4EWgj9b68lKPl8JUQ6XlpDH9j+lM\nXjuZA5nGdfpN6zXloYsf4qFLHqJF/RYmR2hN7oGZ7uLjvqWmlj02MrJk8bnoIujQwfyf9CzWWFW7\nhkn9qrmc2sk3O75h0upJrNi7AoAQFcLNnW5mbK+xXNZGLh6tSFqacXFM8Rq2c2fZ48LCjOlaitew\nCy/0bIC5P/m1sVJKnQPswTh9XvwXzvu11v9zzQEzGWMWvTWUM4+VnQqTXcbz+DuPnak7efs3Y/xU\ndkE2AJ2bdWZsr7HcdcFdPl0TK9jfE4fDKDjr18NXXyVw7FhfNmwwvt2V1rTp6TNQ7ps/B2d6wyqN\nlbc1zE71S3gmKz+LDxM/5K3f3iIpLQkwxk+N6jGKMZeOIToy2twALab0mM7168v/+a12bejWrWQN\n69oV6tYNeMiV8utVgVrrvZxhEWet9TKgU3WfX9iH1poVe1fw5po3WbR9kTF+Crgm5hrG9RrHNTHX\noKzYAQRQbq5x6nvjxtNFKDHRuOKltFatSp6F6tEDzj7bmk2UlUkNE57an7GfyWsnM/2P6ZzIPQFA\ndGQ0j176KPd2v7fM5MQ1jdNpDEcoPbC89KTBAOHhEBtbsn517gy1bHSRpKwVKPwm35HP3M1zeXPN\nm0WzpNcJrcOwbsb4qa7Nu5ocYeAVFBhnoTZvNm5bthh/JiWVv1RC27ZlxxO0ahX4uH3JKmesvCX1\ny/7+OPgHb655k7lb5haNn7q8zeWM7TWWwecPrnHjp7Q21vt01y33n1u3lr9AcYMGp8d0um8dO1Z8\ngUEwCOg8VkK4peWkMW3dNN5d+y6HTh0CoFm9Zoy+ZDT/uOQfNI9obnKE/udwGGOhihefLVtg+3aj\nuSotNBTOP984/e3+Fte9u3HZsLAqWSvQirzNxeF0sGjHIt5c8yY/7/0ZgFAVyu1dbmdsr7Fceval\nPomzMma/J8eOla1fmzdXfGVcy5bGlXndu5+uYe4xnWbnEmjSWPlIsI/ncfMmjx2pO3hrzVt8tPGj\novFTXZp1Ydxl47jzgjupGxbYH8wD8Z64T4GXLj7bthk/75WnfXujgerSxfiza1fjW1ydOhW/jl3+\nfdlLtNkB+IydPviqm8up/FPM2jCLt397m10ndgHQsE5DY/xUzzGcExnYRjpQ70l6etn6tXlz2SVf\n3Bo3Llu/unSBJk0qfg07/fvyhDRWwitaaxKSE5i0ZhLf7PimaP91Ha5jbK+xxLWPs8X4Ka3h0KGy\n3+C2bCn/FDgY456KF56uXY1LhQM5UZ0Q4sz2ndxnjJ9aP530XON0TLvIdkXjpxrUaWByhL5x6pTx\nk13pJqq8cVBg/IznrlvFm6gWLWQ8Z2WksfIRu5xN8DSPtJw0Fm1fxFu/vUXiYWMizjqhdRjebTiP\n9XqMLs27+DFKz1TnPSksNL5d7dxp3LZtO12ETpwo/zEtWpT99tali28XILbLvy8hrKDAUcDq/auZ\num4q87bMw6GNi0J7t+nNuMvGMajjIEJDQk2Osuq0Nq7Ec9ev7dtPfwHcs6f8x4SHG4PHSzdRbdpI\nA1Vd0lgJj+QV5rFq3yp+3P0jS3cvZd3BdUVX9zWPaM7oS0bz4MUPBsX4qcJC4+c7d/EpfktONu4v\nT1RU+afAmzYNaPhCiCrSWrM9dXtR/fppz09k5huT6IeqUIZ2HcrYXmPp2bqnyZFWTms4fvx0zUpK\nKlnDMsusb2KoVev0OM7iTVS7dsYYT+E70lj5iF3GwLjz0Fqz+ehmlu5eytLdS/l5789F46bAWEy0\nd9veDO823JTxU5VxOODzzxNo0qRviaKTlGQMKi9vALlbmzZw7rnGrWPH001Uy5bmfYOzy78vIQLl\nWNaxokbqx90/si+j5KKYHZt0ZFDHQYzuOZq2jdqaFGXFTp40FhQur3kqby47t0aNTtev88473UR1\n6GCvKQ2sTBorUeRg5kF+SPqBD058wI+7f+TwqcMl7r+g+QXEtY8jLiaOK9peQURtcwcLOZ2wf3/Z\ns05JSbBrF+TnV/zY1q1PF59zzzWKzrnnQkyMcWpciMolmx2Az9hhYHFOQQ4rU1byxb51jJ02r2iI\ngluzes3o374/ce3j6N++P20atTEp0tNOnCi/cdq5s+KhB2CMfypev4rfmjSx3k94dvj3VRUyj1UN\ndir/FCuSVxSdldp6bGuJ+1vVb0VcTFxRIWpZv2XgYzxl/GyXkgJ7954uQO7mqaIr78CY76l04+Ru\nnmQAuXlkHivhC07tJPFwIkt3GfVrZcpK8hx5RffXDavLFW2vKPoy2K1FN0JUYNdzKigw5n1y1689\ne0o2T+UtReUWEVFx89SsmfWap5pC5rESJTicDtYdXFfUSK3et5oC5+nfxCJqRXBV9FVGIWofR+dm\nnf16RZ/TaVxp526cit/27jX+PNO3NjAGjpfXPHXoENiFOYUQ/pdyMqWokVq2ZxnHs4+XuL97y+5F\njVSftn38PkQhPb3i2pWSYjRV5U3861avXsm6VfwmV98FL2msfMSKY2C01uw6sauoEP2U/FPR5cRg\nLBp6aetLiwpRr7N7seqXVfTt1dcnr5+VVXHBSUkxfsY701gnMOZ2atv29K19+5LNU8MzrCRhxfek\nuuyUixCeOpl7kp+Sf2LprqX8uOdHdqTuKHF/20Zti74IXt3uappF+G5G3cLC02ebyqtfKSmQkXHm\n51AKzjrLqF3nnGPcijdPrVpJ82RH0ljZTGp2Ksv3LC86K5Wcnlzi/piomKJG6m/RfyMqPKpar1NY\naFzWu29f+QVn715jFfPKNG9esnFyFyD33+WUtxA1R4GjgN8O/Fb0ZXDtgbVFUyGAMWHn36L/VlTD\nzm18brXOqmttnG06cKDi+nXgwJnPNoFxxql4vSpdv1q3NhYYFjWLjLEKUidyTpCUlsSuE7vYlbaL\npBNJbDqyifWH1hdNgwAQVTeKfu37FX2raxfVrsLndDiM2XaPHIHDh40/i/+9+J+pqUZxOpPatcsW\nmuK3Nm1koHhNJGOsRF5hHnvS9xi1y1XHdqTuYNW+VUXTIIAxFUKvs3sVNVI9W/escH0+rY0zSJXV\nLvd9Z7q4xa1Vq4rr1znnGFOwyBe/msWT+iWNlUVprTl86nBR0SnRRKUlFa2wXlrt0Nr0btO7qBBd\n2Lw7J9JCKywuxfcdP175NzQ3pYyzSW3alP9NzX22KSSwY0VFELBPYxWttU42Owyf8MeSI5l5mSVq\nVvE6tu/kvhJfAIs7v+n5RV8ErzznKkIKGp6xQSq+Ly+v3KcsV8OGJRun0vWrdeszLzPlb3ZaBsZO\nuZg+eF0p1Rj4AIgDjgP/1lr/z5+vaZbqjIEpdBaScjKFXWm7ShSdpLQkdp/YXWLeqNLCQyNoVSeG\npqEdaOSMISIvhtqZ5xJ6+FLSVkYw9zC8c8Q4A+VwVPg0ZTRsmECbNn1p2dIYPFnRn02bWn+FcjuN\nS7JTLsGi8voVbUpc/lCdDz6tNcezj5+uXaXq2NGsoxU+NoQQWtaNpnlYB6KIoUFBDHWzY6h9/GJO\nbWjD70fgG1ezlJPjeUwREcY8TtHRFdcu959WP1tup2bETrl4wt8fjVOAXKA50B34Vim1UWu99cwP\nCz6JiYnlfvDlFuay+8Tuom9tO47vYvuxXew6kcSBrGQcuoJpvoGwgibUzoyBEx0oPBZD/qEOkBYD\nJ2LIOdWC3Sh2exBb48ZnLjDuP5s1gylTEnnssbJ5BKOK3pNgZKdcgkgl9Su94kcGmcTE8ht3p3Zy\nIONAUcO0M3UXfx01mqjkjF1kFVY8ejvEWYfaWTGEnIzBedyoX87UGEjrgDP9HA45a3HIg9jCwyuv\nXe5b/frw1lsJtqhhFb0nwchOuXjCb42VUioCGAJ00VpnA78qpRYCw4F/++t1fUFryM/XHM/I5tjJ\nTI5nZJJ6yridyMokPSeTkzmZZORlkpmXyan8THYuTWB66m/kODPJdWaSRyY5IcfIrXUA1Bl+7sxo\nDWmnG6bify/MjaR426WU8W0ssilEnWv8vh8VBZGRp/9euug0b161wZPp6fb5sJBcRHV5Vr+s+544\nHHDyVD5HT2Zy7GQGxzMzSTuVSVpWJunZrhqWa9SvzPxM/pybyAdpH5Dtrl86kzxOkl17L86QM/y+\nltvQqFmlahdpHXBmnkWuLjkWIDzcVas6lV+/mjUrW8Pq16/aOKbExASgb3X+s1mKXfIAe+XiCX+e\nsToPKNRaJxXbt5FS/3Xf/24thQ4nBYVOHE5nmb8XOpw4nBqHw0mBw9jvcDgpdP3pPs7h1MZ9zmL7\ntBOn6+9O7STPkUd2YSbZjuLFI5OCkEwKQzIpDM3EGZaJrpUJtU9BiIcDjlwOha0vu9MRBunRrmIT\ng0rvQP38GKKIoXlYexo3DDeKylkQ1aVkkSlddBo2lDWdhAgQj+rXB9+vpdDppLDwdL0qqlsObdxX\nVMdctctVr4r2OZ0l/+504nTVPIfTqGNGzSskq/AUOY5MchyZ5Lrrlzpdw5xhmThrZULtTAjzYHR2\nkXNIDV0C5dWXUy1KNEzhOTE0cnSgSUgMTSOa0DhKGTWq7ZnrV2SkuWOWhAgUfzZW9YHS54kzgQbF\nd4xae6nvX1nhm8wK6xJS0ICQgoaEORpQSxu3OjSgrmpA3ZAG1AtrQERYA5JOfEmf0DE0rNuARnUb\nEBnegGb1G9OheRuaNQkrKixV/fYVaMnJyWaH4DOSi/CCR/Xrvt/8UL8AQlw3bzjCUAUNCClsQGhh\nA2o5jfpVu3j9CjVq2B5nIpepF2hQx6hfjcIbEFWvIe2btqF10wZF9atRI+uPrRTCbH67KlAp1R1Y\nqbWOKLbvn8CVWusbXdtySaAQNZDVrwqU+iWEqIiZVwXuAMKUUh2KnU6/ENjsaXBCCGESqV9CiGrx\n6zxWSqn/ARq4D+gBfANcprXe5rcXFUIIH5D6JYSoDn9P3/gQEA4cBT4BHpSiJIQIElK/hBBV5tfG\nSmt9Qmt9k9a6vtY6Wms9B4yJ95RSC5RSp5RSyUqpO/wZh78opR5WSq1TSuUqpWaZHY83lFK1lVIf\nuN6PDKXUBqXUdWbHVR1KqU+UUodceexWSj1tdkzeUkqd6/p3NtvsWKpLKZWglMpRSmW6bpZuUqR+\nBQ871S+wXw2rafXLrAVHik+8dxfwnlKqs0mxeOMA8BIw0+xAfCAMSMEYnNsQeAaYp5Q6x9ywquU1\noJ0rj78DY4K5yLpMAdZCBeuABAcNjNZaN3DdOpkdUDVJ/bIeO9UvsF8Nq1H1K+CNVbGJ957VWmdr\nrX8F3BPvBRWt9QKt9UIg1exYvOV6L17QWqe4tr8F9mCMLQkqWustWuvcYrsKMX7OCUpKqaHACWAZ\nxmQiwSyo45f6ZU12ql9grxpWE+uXGWesKpp4r4sJsfhKsP9jKUMp1QLjvdpidizVoZT6r1IqCyP+\nl7XW5czean1KqYbAC8BY7PHv7DWl1DGl1Eql1FVmB1MNUr+CQLDXL7BHDaup9cuMxsqjifeCTDCf\n3ixDKVUL+BT4UGu9w+x4qkNr/RDGv7X+wMtKqZ4mh1RdLwHva60PEvz/zp4E2gFnAdOBRUqp9uaG\nVGVSvyzODvULbFPDamT9MqOxOgU0LLWvEUZxClZ26MQBUEqFALMxxpA8bHI4XtGGBOBzIOgGGCul\nYoF+wFvuXSaG4zWt9VqtdZbWukBr/THwK3C92XFVkdQvC7NT/YLgrmE1uX6ZsThBpRPvBaFg78QB\nUEop4AOgGXC91tphcki+UovgHEdyFRANpBhvDfWBUKVUJ631xWYGVoNJ/bIoG9cvCM4aVmPrV8DP\nWGmts4D5wItKqXpKqT7ADRjfMoKKUipUKVUXo0ENVUrVUUoF8zLJ7wHnAzdqrc+wpL11KaWaKaWG\nKqUiXO/PtcCtGAOMg810oD3GB3csMBX4FrjWzKCqQynVSCl1rVKqrlIqTCl1F3AF8L3ZsVWF1C9L\nC/r6BbaqYTW2fpk13YJdJt57FsjG+O11GJADBOV8I67Lku/H+J/gcLG5OoLq9DPGt+8Hgf0Y3/Be\nAoZrrX83Napq0FrnaK2Pum5HMH6GytFaB9s3VzC+cb+E8f/8MWA0MKjUIPBgIfXLYmxUv8AmNawm\n1y+/LmkjhBBCCFGTmHXGSgghhBDCdqSxEkIIIYTwEWmshBBCCCF8RBorIYQQQggfkcZKCCGEEMJH\npLESQgghhPARaayEEEIIIXxEGishhBBCCB+RxkoIIYQQwkf+P9mVFN3OmvLHAAAAAElFTkSuQmCC\n",
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apH4JUXf9a+W/+O3wb3SO7szzVzxvSQxVHaP1HK5Pen8H7iz5/Vmt9RHgZuAlXGf09AKG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\nUlPL1q916yC/3GXvIiNdR7D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GnrrgeDZP9evDpEmJjBp1ci6Bxk6NvJ1yWbduXazVMVTR\nKWtYUtI6wB7DHxITK27ktdYczjtc+kFwe3oSfxxy1bFdmUlkFFRyGXJA6WDq5cUSktUJZ1ocBamd\nKD4cB+mdIKMDhwsbcLgKsYWGnr52uX82agRvvumwRf2Cyl+XQGOXPKB69cuvjZZSqgFwE9BVa30M\nWKmUmgfcDTzjXi6nOsd5a1lhoSY9O5/DmdkczsomLTubtJxsjuZmk5GXTWa+65F9PJucgmy2LV3O\nB+lrOVacTb4zm+Nkk6/SyQtNgaBTDGbKbe4qPEddDRQljRRHO1Gc25xjlP3IFRHh+squSXvXz6io\nkumSR4sWJwqP+1Hdw98ZGZUfSQskdskD7JXLzp07Y62O4XSqUsNcjdb91gV5Ck4n5OQVcSjDVb+O\nZGeTnlPyyMsmM+9E/couyCZx5gamH/2YvJL6la+zKSCL3NAUioNPUacLw+FoxxO1y6OO6cx2HHeG\nctxj8bCwklrVqeL61bTpyQ1UkybVO/KUmOgA+tTsH84wdsnFLnlA9eqXv49odQEKtdY7POZtBK7w\nXCg1PZuPFv2XomInhUVOioqdFDtLfnc6KS52UlSsS356znMt55rWFDtLpkvml324nnc6nRQUF5BX\nnE1ecTbHnNkc165HocqmMCib4uBsikOy0aHZUC/71A1SeRr2B6+H8mOStILMM8o0UA2PdyJKx9Es\nqBPNIhu5ikxTiOpUtuiUL0RRUXKTTyFqyWlrWHp2HtMWr3XVpqITNaqopH4VFbvqU2m9Kj7xKFuz\ndJn65XTXNo+H06kpchaTV5RDXpGrfuV71i+VTVFJ/XKGZENYNoRW44Kquj1HghZDRQO7j0WVaaDC\ncuNoXOz6yq95eCuimwS56tPZldcu96N+ffO/rhPCV/z9dh0BlP9mPQuI9JyRmLKSxWsu9P3eFa6G\nx9uB2EVhqMJIgosiCS6OJMQZSZiOJIxI6qtI6gdF0iA4kgYhkexKn8NFQY/SqF4kUeGNiAqPJLph\nY+Kat6Nl0/qlhadRI/PPUklOTrY6BJ+wSx5gr1wCxGlrWEruNkas/pN/9h5ExU1PdTiDUIURBBW5\naliIM5JQp6t+1VONCFeRhJfUr2TnRnozjsh6kTSqH0nj+pFEhUcS27QN7ZpHlzZNUVHmj80UwhT+\nbrRygPIn7jcGytwwJbZ+7Oqms5qWHlnu2LFjcq9evZL9HFvVhVDFf6l81rVvHtvDuTOZY8Ax0EAa\nkLbNnwH6R1paWuz48eOTrY7DW3bJAwI7l3Xr1sV6Hm6PjIysZ2E4VXXaGhZbn9VNZ3U1t34FAfVK\nHqdUxLr2x2LjSUnmOHAcyIQ84Ldk+M2/UfpcWtr6gP2/Up5dcgnkPLypX0rrys8G8VbJ+IZ0oJv7\n0LtS6lNgr9b6mVOuLIQQFpMaJoTwll8bLQCl1L9xHdgZieuMnQXAxZ5nHQohhKmkhgkhvFEbo4Qe\nBRoAh4DPgYekQAkhAojUMCFEjfm90dJaH9VaD9FaR2itY7XWM93PKaWaKKXmKKVylFK7lFJ/9nc8\n/qCUelQptVYpla+UmmZ1PN5QSoUppT5USiUrpTKVUhuUUgOsjqsmlFKfKaUOKKUylFK/K6VGWB2T\nt5RSnZVSx0q+vgpISilHSQ5ZSqlspZTRTUtlNcwu9QvsU8PsVL/AfjWsrtYvq89787wQ4F3AZKXU\n2daGVCP7gBeAj6wOxAdCgBTgMq11Y+B5YJZSqp21YdXIy0AHrXUUMAh4USl1rsUxeesd4L9WB+El\nDTyitW6ktY7UWgfi/3mwT/0C+9QwO9UvsF8Nq5P1y7JGy+NCgM9prY9prVcC7gsBBhSt9Vyt9Xxc\ng2YDmtY6T2s9QWu9p2R6IbALON/ayKpPa/2b1tp9ESGF6z9IJwtD8opSaihwFFhmdSw+ENBXUbJT\n/QL71DA71S+wVw2ry/XLyiNalV0IsJtF8YgKKKVaAp2BLVbHUhNKqXeVUrnAVmA/8J3FIdWIUqoR\nMB4YQ4A3KSVeVkodUkr9pJS64vSLG0fqVwAI9PoF9qhhdb1+WdloVelipsI6SqkQXIN/P9ZaB+CV\nwEBr/Siuv7VLgdlQ5k4ggWQC8IHWer/VgfjAU0BHoA3wAbBAKdXB2pCqTeqX4exQv8A2NaxO1y8r\nG60qXcxUWEMppXAVqePA4xaH4xXt8gtwBvCw1fFUl1IqHrgKmGR1LL6gtV6rtc7VWhdqrT8FVgID\nrY6rmqR+GcxO9QsCu4ZJ/fL/leFPZRsQopTq5HH4vScBfIjXZj4CmgEDtdbVuNmj0UIIzPENVwDt\ngZSSN5AIIFgp1VVr3cva0HxCE3hfJ0j9Mpsd6xcEZg2r8/XLsiNaWus8XIdBJyilGiilLgVuAD6z\nKqaaUkoFK6Xq47qrYohSqp5Syts7LFpGKTUFOAsYpLUusDqemlBKNVdK3a6UaqiUClJKXQMMBX6w\nOlWDrs0AAAEESURBVLYamIqruMbjejOfAnwLXG1lUDWhlGqslLra/X9EKXUncBmwyOrYqsNO9Qvs\nVcPsUL/AVjWsztcvqy/vYJcLAT6H65ZgfwfuLPn9WUsjqqGS06AfwPWf4mDJdUKyAvAaQRrXIfY9\nuM6k+hfwRMlZSAFFa52vtT7kfuD62ipfax2IZ4iFAi/i+j9/GFcNGKy1TrI0qpqxS/0Cm9QwG9Uv\nsEkNk/pVC7fgEUIIIYSoq6w+oiWEEEIIYVvSaAkhhBBC+Ik0WkIIIYQQfiKNlhBCCCGEn0ijJYQQ\nQgjhJ9JoCSGEEEL4iTRaQgghhBB+Io2WEEIIIYSfSKMlhBBCCOEn/w9cUVaXSlgwwgAAAABJRU5E\nrkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1448,16 +1431,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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1nuj19n2kAAAAAElFTkSuQmCC\n",
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,
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1494,16 +1477,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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dqjj/+5+Ny+XlwdNPwx//GHaLqlwkxuhElgJzgFNR3ZD0y1c2OIhQD9tp9pRt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\nzQOdc865jPb/cfb84xZ91ZoAAAAASUVORK5CYII=\n",
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9tAX11luw555BR+TgOyBhm15iSX4XAaNVuQ/4MXLsd1UmAKcDuwGd4xOecy7s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\nf4/q3LhHIXIIlvAuB/YBcoA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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1534,16 +1517,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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TJsEFF9hAd7th+nTYsEGBLiL1T4O+Ul+3Du68064mBHDrrTBlil2rU0SkPmqQ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\ni4j4EYW6iIgfUaiLiPgRhbqIiB/5f0gzdtr7Y+paAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1582,7 +1565,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 48,
    "metadata": {
     "collapsed": false
    },
@@ -1593,16 +1576,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 49,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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Vuc2maaRzUZ1IuqQrWL7ggvTcV7qvK68sYe/exNoOHAg/+UlJp/ZHJNO98O4L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\nqrH2E6yHknaKeIQ/vP4HHtr4EIP7DM7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ETMmwjGqBwAHgCTNbW8193QFkLe/imdWDbMQK\nhZk6jePK1Rw1rh7Hqdt+RWLM0SwV4yBy/VSCzD5TkjeAW4HN7v5HtJiZzVharuraKuZZ4FHSDT5R\n7COt4LKO9AbvTVKhpdlATcxsuZnNmtk1ZnaVmT1GWm3g40jdRefQyFcRfSHQ60W9HODV4j4M9Njb\npFUUZqrcPgccanjMvowj54LyLnF5d2nkXHcf+wa8CFxatD1fvXYj6WuWG7r2nwN+Ic2H3Q9MjaC5\nAjhI+mrnB2BL12v/0QReqfTOAd9V53tlE52ouHI0m8RVp/2CY6ylWSrGJn5qu88Eaq6udC5U17iz\nbQ3UXAkcJt05fYa03NDmyDh7nMMLwIEWdFZW8f1WxfsZsLHlWBv7qnRfiPB6hJejvVrCh1EeIw0g\n91bHPEH6av3qYK+2mnOjvFhD83+Xdyc156rSnxBCCCGEEAOYiCkZQgghhBBCTCoaMAshhBBCCDEA\nDZiFEEIIIYQYgAbMQgghhBBCDEADZiGEEEIIIQagAbMQQgghhBAD0IBZCCGEEEKIAWjALIQQQggh\nxAD+AX5xHVO2qhHDAAAAAElFTkSuQmCC\n",
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WiosXBdspY4wxxhifWfBsfFFUVMSSJYsiFgxavrMxxhhjMo8Fz8Y3RUVFFjAbY4wxJqNZ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\nsWLrCob0HkL3nO5Bd6nNQhriYO1BDh8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2F7y93MSr/fJhI4+p6kkR+bVLm560zWcWDHPe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\nAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1627,16 +1610,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 50,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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eCekycLvdTnl5eaLTLV++POCy8/OJhg/3VAi1mujNN3mFcefo0aOUl5cXkBPZ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\n7cOSJUsoMzOzft++fSqtVruzurp6AYC1RFQst4z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05ptEvr4NCZ6SAKGB57WhbVuiCROIbJUrtVrtsNMfgiA0mtc///lPCggIIMYY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\n47WNIipKv1rqwfHs30/k71/7rnv3Jqq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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1653,16 +1636,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 51,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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R7z2+FFgs6SBJBwOLgZUAeZjI7cASSeMkLQBmA6vytleQZv+YJ2k8sBxY1TDG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\nmZmZWYccTJuZmZmZdej/A87LuhDi3OhLAAAAAElFTkSuQmCC\n",
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Bo/yH/6JFi9Y2rDFmZtZnapr+Iek64Ajg9IjYVUh/i6RpSg4BvgA8EBGV0eSb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\nk4NqMzMzM7M6Oag2MzMzM6vT/wMTMwvEt/VAeAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1699,16 +1682,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 52,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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6NMycCTfeCH36wFVXqRdSfvfrr66E99lnbtqIAQNc54FAtAckpiQya8ssPl79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\n",
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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1747,16 +1730,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 53,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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JXAS8Dqxp0e5S4CDwh8BSit3xHR329ReNxxcC7waGgZs7HVup/WeBnwAngXd0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\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1777,16 +1760,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 54,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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OgvniXOm+btayk3QIcBvwUeBl4JqIuLdJu4XAl4BjSX703AN8NSLe6Uqg1hVV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\nVFFDtsOfpQAAAABJRU5ErkJggg==\n",
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NhnoauEzSHCWuJBn0XiwyaCsv54uZNStvte9VwF0kBRDfJFMAkeSb76KI2AHc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\nZmZWCh6QzMysFP4/zcjnEVUi4EsAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1812,7 +1795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 55,
    "metadata": {
     "collapsed": false
    },
@@ -1823,16 +1806,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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QsAVplNz745r77M7ZzcB/DNnn+cCnU8/3CnK+Sfuve8j2X0ntu6oO5uHA74AP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\n",
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ZOmg7MFPS4tSh75m0/+NVzzR/9oPm4yFgVzqgAEUloGXieFpdONcrJtfVvkmW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\nKbggmZlZKbggmZlZKbggmZlZKfw/UuGJBd7y1LUAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1865,16 +1848,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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RAG4DWFLsGZnKVKsGdOgAHDsmdyTy04bquofJD/HX9b/kDoOxUiUmAsPfS4Z+51VY0f8z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\ncDbyLHwn+MJQ31A1J9ViOtX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mXr2A4cPFCqCcnORFBAQGAnv2iM3QUCSg0aPVO7dhriIX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\nqb3HD8As/H97dxcqRRnHcfz78600X7JAKUQkTNS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KoHqDaFq+ab5rfRTKICkeydix8h97xw65mZqUFFlQEORj0aL5O/68E/Nov6Q9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\nYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1918,7 +1901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false
    },
@@ -1933,7 +1916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false
    },
@@ -1954,16 +1937,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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UW3HVmYzG1EdT4r16/4imQixXOENcNuKpEhvseHo8W3Zw4OmTNq2SyDSa4X4jOG463omd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\nCvD/A0jSkWfiU/75AAAAAElFTkSuQmCC\n",
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DkALDty66VWDr6q2oiyfLyBxrYpbL251smGXEzJjn+zUTyYYUBIf2Zdm0Y3NdAYii5muc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\n4zhOZtyIHcdxMuNG7DiOk5l/AQGFCq0Qv3ERAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -1986,16 +1969,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 61,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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XVuWfszlK4phmqcI3HkxnbH6e2lY3dPBewactVyADALQHh1kfc1CBC7PFE2nC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\nxgFiG49Wppol/p/MTDuXgVLAsgMxJCbmT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LiBXaCotL1gdjIVSskNKRwwJOrQiYPE5HLW2EdQB1NvSLwaChA9CSKeTr8Nip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\nTizLii0GEGJ6jWnBSmF7POtM2o4yWgjVJ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mxRk7etO+mStb3dSjstzdk3iO/tGMAzwrF3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\nYy+/dw8BiwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2020,16 +2003,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 62,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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xoZckKQQkgPlCiCNn/vZdoFsI8enzjv00sEQIcf+Z3+cD24QQgfOOG7GoG2Ea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lQ28SurU605Fo7FSx3IU0Mp9ChLzFjTeGTMq2Q8Fy6E/lmdUQQq9i67yoOcyv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\nMZJmkcIfIeh1MpwwSOQmJ3wA4Q1ahJ9NAGovJT1kKWmMseG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rCP9sf5xDFyN4nDqPrG9V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yAl7vm3EXrb74w660TFVPqR/e2Dujr4a9Bqp9yQRH85hOFGNMxA1jQPEX+yf8hnXNM0KgtS83gJ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\nAABJRU5ErkJggg==\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2058,7 +2041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 63,
    "metadata": {
     "collapsed": false
    },
@@ -2076,16 +2059,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 64,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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i5ptvxs033xz4HbfN7cEzAz0knA0QRTEQQc/lcg2bd4tFCx/84Cv4/Of3Y8eO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VBMPeiMy4qLJU2BkjWxdPuaYD0aIyJw6unRc/Z+zpY8cGj0eteJN94aae161tQcXM5ry3L/ecOA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H++EvWwY89VR+/pBlCVgWi9OLenoIentD9PXJ7cyZY2Hv3mJDwjQB2x4LL87p9JEo/ALprray\nwLNSATyPQqYMqW6/BIZBM2ktFNnOxenfWhHfvChYR6Kry0GrldfxWMHp8P8gegEyAqF1lYGh/aY+\n6wJbHUwJyXmpAPiL1B5mzeLYvz+/0Omyyxgeeyx/wr3ySgMbNgSYOJFg/HgDzzyTXKdZs8w2D36C\ncZDMTHpdRBCNT9G+5tcMrFrlY/369NY2bDCxbFmxEFUc09VqFbbdufZiKEEpheM4qFQqsG0blFJQ\nShFGhSKWZcVNcFQnZL3LrxAi7pJsGAb27HHx9NM+Dh8Occ01tagon8UsLJZloVQqDYuh02w242f9\nX/7lX2BZFj7wgQ8M+X6GGGeniOLcxCtqnlLPqGL2yoNi/1IOKMMw8LFvJbKpXLZkCkck9uySESsH\nlHJUqlacRmBZJE7TUZ50GvKY+54YBDTkeNUyKS9OOSqSK19cyDQg9ZlGCr8Qsg5AiEhp4XI86plm\nTCpneTULavuWRRAEHJZtpNIeGJMRA7Udxdmvxq3GHkQRgj9Z3dK2SyBAIAQBhywcZoIg5CYYN2Ab\nDB614IYmGAd++IOD8X91znzBBeyyHS1HaVZcwIoaKHDGYNpWHAVglKV+49H/OeN405t60F2hMAwB\ngwAlk4EJAttgYNyAachtWAaHRXhM3BEwCxVLzleLprXXEKhC4FqtBssa+kQOtX1Fx66616sUI9XA\nUtG2q2uverW840MH4u2wgOK+r0yL619Un5szhZLXvu/jHe94Bx566KEz3uYZYkhkMSFE3PWvndPL\nPvlnFoQKhw0zRmSakEJ/1mkQBPGDoKdatFrIzUUHilNQAGDePAs7dyZK5KFDAitXVrB5swshgClT\nOhsDCxfa2L69SJEOAQiUSjaCQK1jwfMA2+YIQz2nzotYfRgAjgsuECiVBA4fJmi1JEMMAFgWg2G4\nUctyI9qWH20r77zJsGHngFIpGmve/2U34u7uMnp7DaSNgYHO50rRDyEV7GcAzI9/nTatPfUGkLSh\n27cXP3gHD8rfjh8XcF2Giy+28OST8rueHgv79xf9VO1MJwAAIABJREFUtwKp7GepW0PtuzyaUaDZ\n1NOJZL3JwoUid11A3q+e5w3bxFAEpdzo+016FlTAOQelFEEQxN0xVcqReqaUcaCWZ82yMWdOOeXp\nUp1bPc+LDQ21LdV85kyhJjM9MjB16tQz3u4oRjFQKEYY1aE47772PIpy2Ux9tm3tsysbZMllFivT\ngcdSqTWA5MAnhMRGQCf0tbg0EKI0IS5kypEyBJRRwJkAIUn9XNapKDhg2UZcJ6CiG5ZtxP/xfRYb\nBJ5L42X1GzC4XHCTCDAAzcCGFRXyMk4Q+mHKCAAQGwEqGmDZZsLFH4QwTSP+3dTq7sIghF1KO2Fe\nc+00WCZHwAxUDOUZbx+fZXAEzIJlBXCpDYMkzckuntF+nKomrFqtDou855ynHDwAYvY5lX7TarXi\nHjVKnitZzjnHfV/qSclmJcNd14XneTAMI54LzlR+u657xo1kX2k4270EOmHEGQMqRNsJShgHQYBG\no9H2oG3dylEqIbeAuBPvc17fi02bKNasqWLtWrdf6rVq1UZa0VbdeEn0fTnqiKw63ErI7cpj7u6W\nxbOmSTBrlo2/+qsKbrjBjvPqZE+EEFu3Bnj22QDHjpnYuLGJ3/1O5XSW0d0dorc3O3E4AASaTROG\nwQooRBGNy0d7mg9HuVyC7xP09uZFVlSaDdM+69DrBtSyCWAzdGPg8OF8Y2vJEmDLlvzzP2sWSaUB\ntVrAtm0UV1xh45FHQpw6VXTd6mivZ1DrZnsntJ+vw4fT382Zw+H7DhizUsJX1bOEYZiiDj0bUAZI\n0X71rr6KtlRFDRTftZoMSiUZJlceJuVtApJ8VDWxqCiDWieIWoErw0BFGc4UysgZxSiGEkVpQroh\noPoRtK8j3z1Xdr9lXBXbphVmAHHTqzz4Pos97J3Q20zSjgBpCKgxCA74IY+e1yhNiAncfN3L+NJP\nu+Nj1Y9PbYPHEQQOO1KofV8x8ghYlgFKZU6+aRpxhEHNk5ZlRBGUdplOIOLaB71+AJCsPj41IkYh\nA2/60/n4+U/2pP6fGAFW9JnC1Iyt0Kewy1a8LmMsNgJ8RxZ7m7aJwAugi6GAmihZMjJRsvLnIo+1\nq13NZjN2sJimGRsC5XJ5WCLAioXOtu1YLivo9WOVSiWWv77vwzAMlEqleExKPis5rmQzANRqtdhR\n5DhOrpNoIONU8DwP1Wq1w9rnHkTx43vWMeKMAQUljLM3HecczaakpSzyyjzyCIdtC6xcaeHZZzkO\nH05uyGIPMVDUYXX9+hDLl5c7/lduW1e2GMplIyrqlZ+1o0CibCepQ6WSwK9+VcPy5e3hi1KpFCtg\nK1eGuPjiUkpRu+uuw/jud0/gxAmB3l4bgBvtg6JUghaNADgvQXrli5RSG4mCrBRhK8oNVduR36Wp\nU9V2k8Jh07TAmI88hZsQQIiXMHfuQZTLPSCEY/v2fC98rVZsiPX0GG3RBEqBRx4JcfXVNjZsKIrm\ndCF9LQCVvtVfY7Fx4ziOHEl/d9FFMlVNedmVAFUCsVarnTVDQBkgQRAMygDRw8sA4slA5b2qiUZN\nekB71EBPL1LbUh4n5bHyPC+eeJQBMZAJJisTHMcpTOUYxShOB0V9BpQCRinNNQQCj6JUkVOyylt3\nvTCOAABSmS5HSqrrhrGSrS/7Po09277PUC6bCDM8+0JIIyBW+vPqBqIPvi+N99v/i9D+341brw/j\ntFzbtnH79+S4TNOAYRJ4buJhd4IAlq2e90T5V+lCjHFQyuP1TZPAc2lblCN9ntNGACALiFWnX0AW\nQNsWQKOOxEr5Vwj9MDEIgjA+76ZpwveCtihA6Iex3AoD+V/TkFGJPHip4mG7cL1qtZryxKtzWi6f\nfrfiIqj7ULHJdYJuGChHj4oUKzmuZL0q4tXrBvT/Ktnt+/6gDQNCyMiMDJzluoBOGHEFxAp5nhlK\nKXp7e2FZVqFXBgA2buTo65Mda0+e5FizxkKlAkybBhw/XmzKFbHRcE7QahGUSsU3/cyZNk6cMKHX\nBvi+FDqWpSveeYomQaUi8MADFSxfXmzfZZuT6DzzH/nIGOzYMQ9HjizC2rVz8NrXliF7FCCKRugw\n0DlqqfLlVQQje57LmXcZEZFClkfHJCMFss+AioyktyOENByefXYjtm9nGDuWoVoNsHRpiCuuoJg0\nKcqjNQR27Sou3D55sjh1y/MMrFhRQrsMKiFhRcoaA+mTk3fdp03LLx7Wm4Q1Go0Ut3Kr1YLjOAiC\nYFiLbbPdjM/EAFGepFqtFnfKJITA8zw0m014ngchROyhUserTzwqkmCaJkqlEqrVKrq6umIjwfM8\nOI4Tj3kw52ag1KKjGMVgkMeQ1ckQ+MhXZTGm57Y7jDwnLbv0jri+TxFSFi/ngVKOpYvT97iKBuhQ\nGQuuK3sdeC6D41DcdgNPGQLq+EqlEur1Our1OgghuPUGD7fe4CEIGAIv4qwPWJSGCtCQwfcSrn5V\niEspj487TiGK1lPRiu/+IlP8HFTQG1TQDCpoBmW0ghKcIJG7ZhQdsEyk+iOo4tfU+Sn4DkDMtw8g\n1XSLRy7d1/zxzLbzmAePpo2KTNZSPC/X6/VYfqk05qGU90peCiFiWTxQZHsY2LbMOGg2m3HUQMlk\nlU6UZCSI+Bi7urpgWVZMhKHSQvs7Rt/3R15kQJvv8l46CCElQsh3CCEHCCG9hJAthJDXFW2bEHIz\nIeRFQsip6H8dK9h/L4wB9QD09fWhVqt15OkVQuCxx9Jc9GvXhpg6lWDx4uIHZ/JkghdfLDYUJk0q\noVIpo6srfxsXXFBBouSnBV+6fkT3rsvluXOBLVtquPrqwYUTszzz5XIZpgnMnQt873vz8OY3j4FM\n+WkHpTba+xwA0ghQ+fJFFoP6voTEcBBgLLs9/WEgkMaD2q46JyUAxwEcxYEDFI4DPP00xyOPMLz0\nUoBLLqFYs4bixIl8QXPeeQQ7dhRHbDgn2LiRoafHwsyZ+nXpRmK4qLHkXX8Oy2q/5mPGtK974YX6\nfnkcGWg0Gmg0GrGHPgxD9Pb2xsr0QATpQKHSGBhjp01jVwRljFYqFdTrdTQaDdi2HRexNZtNBEGA\nSqWCUqmEUqkUR0bUxKIbB5ZlxfdvtVqFaZrxBOM4DnzfTxW9qePLRgZGjYFRDDWy84/jOGCMFUaj\ngUQZ9z0aK8MKTistG4t63eiGgUq7Uco4APS1BPpa+bLCdRmcqNsxF5Lx57Yb+s9jMAwjfqar1Sru\nfC+D54ZwW7JBFQ0ZwkC+ABkBUcYCpzxepqFc1g0G36NtBlJfkPbM6F2J+zKdlQNKYFsC1719Uep7\nZQAopV8IAaa686raAT8EV70ctMiKbjjYFmCZ0vBQCr4XRtGa0Eq99welpxiGgUajkVK4e3t74TjO\noJ0dWai6LkWgcLpQxqByWpmmCd/322S4Hv0NgiCWx6r5pZrTlOGTnc90eT1SIwODYBOyADwH4Coh\nRDeATwH4ISFkRnZFQsi1AP4HgD8EMAPAbACf6TSWEWcMZPMXs7Sh2fy4LLZvZziV01hv3z7ZHfKK\nK/IV7hkzOp9KxoBnnxVYuLCGPEfrkSPKw2xAKph6YWVyTF1d6nuBMWMIvv1tG089Vcf06WeWPpLt\nTtvV1YV//ucL8bWvzUR3d4j2VBcShQfV9yHKZRXBsAHYMM2iiUQV3Kq0IP17M/M5+z8VJVDryQhE\nrfZYW2SGMUnxGgQMK1YIzJzZPpK5c0lusRcAlMvAjh1ym3v3Chw9CqxerSICiulGF6jtqVOTJws4\nTrvQzQsPLl2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OQoB77rHxtrdJPnblvR1qfnk9d/xMPLZf+MI8bNy4HAsXVpDtE1Cp5DUg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AxEYGAgOnfuDMC4eQaNDTS7ceMGFi5ciAMHDlCXB/smyATEE8pTNkYIeYNhGNy7dw9xcXE4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\n",
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LgqIoiMfjMyYyIxBMN1glIdd1/ZQeSZKQSqU6Tr0plUp+Kqmu60gkEj11IrFechr/dV2v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OB5+v8nojnQYewEcIT7/wiATkJIvKkIhyVvEEQfttkqnWy7YrHYVDOz6BjOnKn3e/2GViMjLpK6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\n8v/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CKIwyzbUAJIq8jgo4rp1y9dMItm0lv9tGHV5EI7i1rFL6xjfPgGMLUG6hYWkWn+L4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\nOBQImKNCQ4bEfk9OENuoJ55BTmpMydSJ+Hw+E0ffCqFQSDPInU5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Oi7o6ATEiqY5ERAJv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GcYhn/oB2oP7up0ulplcK1Wa5VMlznqCgbWrVuHtLQ0bN++XXDdB1NMB9YZhkFOTg4FBARB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\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2115,16 +2098,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 65,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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+8Q8/DRuCpgksWaJgGDBsmItvv03/vKz3l+ga1MQgaXvY1+VyRSpFY8/RWmzS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1rg5KloT4eBNd96Hr7sDmCeLEff68yhdfRPL11zaKFjWoWdNg+3aZPXtkduwQvaEDB8RoR2ws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\ngAC1b98+Ro8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DwoVTAyWIUseQITaOH5dYskRh/foLFC7sYODACJKToWNHjRo1nDidkC2b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\nTIFAIBAIisH/B2np0VA4tUuuAAAAAElFTkSuQmCC\n",
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7SFlCWXAF8/kpTglA/Tl5KRqlFBaLRbNEMzMz0bRp08uidloQ5mUAfear3iVjs9nCmjgT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\n8zG0bavprkthSVatylG+PP0d7kYLBqHz0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5xh0SIGp9OJ3bv9WL/eErpPhl9/tWLiRAUT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\nKpo313D+PNORlkOGeHHihBP79ikwmzm6d1cQGxuLhASD0ODTT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M0gGFTo29eJqoqdfUqK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HHw+iaTBrlpP69YsxfnwqipLMm2+K/seHHw5TuLDTBNE88URRjh+PncuUlOjGS1UlMjb2OejS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\n3604lAQAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2148,16 +2131,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 66,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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ja6H2Tmq//1uemnYLd99Zjs06MrZBf4O5b7q6kJ3KDMK2dJr/9XK3wdzqs6Su\nezygPuM9k3wCYdhRZ6LDo2X1dB8zs71Yw51omo+jOXkATcNB8Hb1ecxUzMIcb2i/+93vDvTzAX84\nUVCniLjd7ujA4yRrAtUkgFAoFIttJCOUoVCoz36aI4UkSfh8vmE3cVf7vrqcTrRaLZlZWbGm2ion\nOyScPqjI8aPXSrDvdSisQCqalYpL6Ya6aUmlW0+1DEZr4xMOh2Ouu/GM2qzDaLOjm70YKT2LwNMP\nIWm1ZM8uJ9sh8a9NMLsELP39OiQJjV5PyNnJWSmTLGsYj9vNa69t4c03j7Jx4yvo9WasVgNOZwcm\nkwWHIwurNYOWFicbN76OxaKlsDBv0Pu45/d64hs/pc5YTHD9Zdx8bX6Kv52BiT7rGkwmLXsbDWS/\n+Dhln7oVvV4fu8/UxgqqW7fnTNnRtDwVRaGrqwubzdbNqncHJLbXmclLizA/34+xowbDiR3o2k8h\naTSg1Ud3zCYbGHsn91RVVeH3+1m3bt2oXUsK+Z++/nHSu2TVl6x6MyY7m9Lr9RKJRDCbzUMuvh8L\nV2Ky1xpPT7ezJEl99o4NR+Bwo5ZFRR4kCTi2HawOKJmToqvoTiq/x/hsSPV7UnuVqn+PJ3fZWKOr\nXIQmtwj/479F7jjD7Cs+gMev4e8b4ZPviyYF9YWSWcS0k2+z6ex0PE3Hef6ZNwkEM/H5vCxceCEr\nVqwnGPRz5kwTu3Ztwmazkp1dwIkT+1my5HxOnvSi0exn2bKFCW9qnDuqaH1lC0+f/z/88sPDd8UO\nlcvWZ/Gv52azUtbS/vImsq+6MHYN6mbUbDb3HszdYxyaVqtNOsciGbweD1qdLpbQB+D0a9hVb2RW\nXohibQvaqp0oeiOB0kXI9mwM5wYvDMRkjGGOX39iioiPOyQzm9Lj8eA8V7g73FZ2YymYyRIKhbrV\nkZrN5n6tupozGrJsCukWBU3bSehqg1krx73QqKPF1J64ZrM5VuAe3yUmleOnJgOajGzMH/sacstp\nAk8/zLKZEeaVRd2z/TY4kCQMxdM48Nqf+PED/8blLqSsbB4ZGdls2HANDkcGOTkFzJ27lIsvvhlZ\n1vPcc3+jomIueXmF5OXNoLY2wIED1QmtUYlEOPa1H7N5/k3c8dEKHGljZxPodBK33lDA9llX0fDz\nv3a7f+Jn5vY1mDt+HJrqzvV6vbGuY6m6H8PhMD6fD1vcqD5PQGJXvZHZeUFKvIfQVm8mUjyHyNz1\nhG1ZUesbLVJeAAAgAElEQVQyASbbpBKYAoIJdHNzjPZsykTOOx7obz6l3+/HYDT22t2HwlHBnF0Q\ngaAPw8n9MHctki71zeTjGc73GL8RMhgMseb3g/Ur7avp91QVUclkxnTb58DnIfD0w1y8JILZAC9u\n7/8zf3nuDd59ZTt5Ze9n/fpLOXZsJ0uXXoBO190t7fe7cTqbueyyD3Ds2EGamuqRJIm8vOlUV5+l\nvv5kv+dQBajpr09zNqDDvXw9G9YmnhU7Uly0NpMDGYvxNHfg3LYvoc+o4Ru1Cf1gM0WHKqKKEp0o\nY7VaY67sQEhiZ72JmTlBitq3o2mtI7zwYpTsUkjSazXZZmHCFHDJQnf3ZF831EjPplTPMZokKtLx\n5TF9zaf0n3Mb9aTmjIa8NAWbCSJH9xLKKcdoz0rpNfRkqBsX9ffr9Xpjze/VDUB/31H8+Ck1rtNz\n/NRYuM/GA5LegPGWuwg8/jvCzz/CDVd8hD++qGHnUVjeI3T9yiuv8PwLJ1iz4n1kzJjNf3a/TlZW\nMVZr7xfprl1vUFpawbx5i8nLK2L37jfR6w1kZxeQkzOdHTuO4HCkkZ6e3ue6Qu2d1P7g9zy57Evc\n+/HSoYUj/F4iDTUobc0oPg9odUiODLSF5Ug5BUkfU6uVuOX6QqoaLyf9l3/FsWpx0muC90S021oH\nuB8TGYcWCARQFAXTuec7IsPuBiOFjhDlZzZDOEB4/gYY4ibY7XZPOgtzSgimSl8iMtKzKdXzjjaJ\nWNODlceoPXEdPV5QoQjUtmlYNyuM0nYKydtFqHwpg0c1Rp9wOIzX60VRlGFPS4kXUZWpKqKSTo/x\n5k/hf+SXaN5+ils33MSfXoL8TCjOjv6fqqoqHn54K2Vly9A5tOx97SccaPWwfGEFLzz/MFnZuZSU\nVFBaOpu6uoPIcog5cxYCkJOTx/z5a9i9ezPr1l2JxWLDYill585DbNiwss8Nbf19v+VE+Sou/shy\n8nMTvxsVRSZy7CDhnZuINBxHU1CKJq8IyWyDcIhIzWFCb78AOh36ZRegW7oOyZD48S9al8njT6xi\nwatP4z1ah2VWeUq6/CRyP/Y3U1SSJDznGhRE3xVwsNGAWS9T2bkZIkEic84HTffvWViYU4C+XLKq\n7z4SicSmHYzUC228uWTVTULPesqeBPx+9Hp9r5dTXZuGHLuCVReB4zuJTF+KMoqNCRJ5aNWkimAw\niMViSdm0lJ7099JSMx/jEznUGCkwKURUMhgx3foZfA8/QHra61y75mL+8SZ8+hrwezt48MF/4nRG\nKCtzYjSX48jO4MJ572fBgnlIgTN4fW5qaw9w/Pg+XK521q+/ptumraiolK6uDnbteou1a6/Cbk+n\nubmD6uojzJ8/t9taXLsO0vLiZnZf9wMeuHKQrgpxROqOEnztXyAr6FZdjPGmjyMZesfrFUVBPl1L\naOvrhLa+huHyD6CdszSh359OJ/H+64qpOXUReb//Pyp+9q2E15csiYpowO9Ho9HE3LhNThNOv4a1\nmm1IIV+fYpksk7GsZErEMFVU4fJ4PN1mU47Uy7TneUeTvs7ZX5yyP3x+f8xdEzuGDDWtGiryInCq\nGmwZKOmjk7afyO9IjUPX19fjdDoxm80jPnu0J/ExKDWRI35TpiZyeL3eXm3WxguJWhKS2YrpQ58j\n9J/XqfTsZm45/OOtMD/+yR+pqelkxYrVXHzxrWRmZqBNy2V5jpamTi0mk5nc3EIuuOAawmENHR3t\neDy96/lmz16IJJk4cmQP4XCYU6dO8eKLm3C5XO+tNRKh9ps/442KG/j0Z+eg1SZwn/i9BJ79O4Fn\n/op+zWWYPvkt9ItW9SmWcE6Iiqdj+sAnMN74CYJvPU/g3w+jBBObxHL5hmzezlpHy5OvEmrvHNU+\nsqqIqjFRo9FIJBLBZrOh1Wrp8kkcP2NkgVSFtvM0nvLlBCNynzHRZC1M4ZKdoMTPpgQS6tCTKsZa\nMAeLU/aFoij4fT6yc3K6/fupDgmHRcGu9UHDIVh25bixoD0eDwcPVnPoUANHj9ZjNhvJy8vGbAaH\nw8gFF1zQb/xrpFFdYmorNb1eP2CbtZ7u3PGMxpGJ8ZZP43/0l1x8cwaf+9cu3n5uJ9dc9SEuuuha\nAI4e3cmsWUuxW01onEECiolIwEsw6AX8XHHFrRw48C6KEqG09L1AqEajYfHiNWza9CyNjQ1YLGZm\nzlzJgQNHWb16GQBNDz9Fq0tDwcevpHKGddD1Rk7VEnjqz2hnzMV81z1IxqhIBkJQ2wyNbdDphmAY\njAbIsEFJDpTng1YD2tIZmD/xTYIvPob/4Qcw3vpZNPaB7yujQcMl182k5dQKGh/6F4VfuGOI3/bw\ncbvdmC0W9AYD4QhUt5qZm3aGrMZqAvMuRKs3xdqGqt3Q1Psxmefc7XZPOgtzSgimOnJLjU+O5mxK\nGDuXrBqD9Pl8vZJdBiMUCsUaUr93PDjRqmVhSQTqqiB/OpLZDueGa48GfdWXyrLM4cOH2bx5Pzbb\nDIqLV1Nauo7GxpMcPrwHr7cLg8HG5s0PsW5dJVdccQkGg6HbMUebRNus+f3+CSGi2oISjNfezu5f\n38fhd2Uk/TyWrroOgKamWkKhCCUl00GWKW4/QUNnJaUOL9XV/6G0tIKiolKsVhtbt76CXm+ioKA0\ndmybzU44LNHaepTbb/8ikiTR0HCEmTPP4FA0HL/v92xc9xW+/4GCQdcZ2vUOwTefxXj1behmRxNw\n6lvgP9Vw7DQUZUNxDpTlg0EXFdF2Z3RiS4cLllbAmrlgtxgwXHs7oS2v4H/ofkwf+QKajJwBz331\nJTl87f/WU/CnX5F3161I+tF//QaDQcKhUEzIqpsNZBj8lDS+TqRyDVpLGlroleim/gFi4Zz4pKK+\n7km1ScxkYkoIplarjbkfz549Oy6soVThO9lI+6ubcVefIOL1Ych0YF80G8PKRYTSrN2uPRn8Pfp+\nArQ6JTQayNS6oLUOVkSth7HeENTV1bFx40FOnerAZHKj0egoKCijpGQaxcXl7Nu3jZaWWsrLF7Fx\n4xH27v0tn/nMh8nOzh71NQ/EQCKqxkSDwWCvXf94abTgySvlJ7u7cDdG+NDHv8zmQzquc0BNzT5m\nzIgm86DR4Mi209AZwun20dRYz5VX3QJAenomy5dvYNeuN7DbHdhsUXfeoUN7SUszY7NVcPp0DSUl\nM7HbC9m37xh5j73A/qI13Hz3cizm/u9xRZYJvvpPIjWHMX/sq2iy8mhsh1d2wll3VASvXQ3mAXJ5\nzrrg3UPw62dg7TxYO1/CsO4KJJMZ/99+jun2L6HJ6P+estt0LLtuEV0nC2l/ZiPZN12R/Jc8DBRF\nweN2Yz3nYWpxajnr0XCBdyNy8VyUtN6CHx8TVZt9WCyWbkIaf09qNBqef/550tPTRzQvZKyYEq3x\n4n9pwWCwW4uq0SLVs+Hch45z6LP3UvO/v0VrNmKbMx3L9FLkcITWVzZTf+8vCRypJXvJfEy5yZd7\ndHV1YeshtFWntJRlyTiadkJGAVJ2tIuK2npwNCZR+P1+TCZTbP5oW1sbO3eeprT0PObMWYZeb+XQ\noV10dbWRl1eCRqMhP78YWZY4cGALOTm5bN5cxcaNr5KWpmfatGmjGk9S3a6Jli2pIqrVatHponMc\n1UQsdaMSCoViMxtVYY3/7FBQRTrRrHFZlvnkJ79Mda2W8+cs5NJsHcHCGbz5nyrcbTsoLi5FUcBo\ntCCZrRja69h65Dg5GVZKS6fH1mm12lAUDdXVOygpqaC9/QzV1dtZu/YSMjJyqaraTlnZLEwmM3Vv\nb6Pr3y/Sdec3eN/l2f2+oJVggMC//ojicmL+8N2EzBm8tANe3wMrZ8P1a6E0FwYz+MxGmFUcnRW6\n7TBsPwwzCsA6rRw0WoIv/wPdvGUDZtCWFpl45FU3JZv/Td7t141au0yIlpGEQyFsNhvBiMSukyaW\naPZj1YeRyxZCAvdKKBTCeK4uu+c9qbbNfO6553jsscfYsWMHf/7zn3nnnXc4fvw4ZrOZoqKiIa39\n2LFjFBUVceTIEW644YYhHSNJ+myNNyUEE4i9RAKBQJ+ZnyONr596xmRRFIX6nz9E9d3fo/C2a5n/\n5x+Sd8Pl2JcvQF9Zjn5RJQU3X0XeHdcTamzl6BfuI3S2i4w1S5F0iV2zOhPPETeyzOWHYy1aFmV3\noandA3PWIZ37DtUSldESzPjM061bj5KWVonJFI1dORwZlJTM5OTJOurrD1FQUE5DQw01NQc4e7aN\n9vYGFiyYzZEjDTzzzIscPXqEBQvmjFr6e7KC2RfxLtq+RDQ+O1cVUdUDkKiIJiuYP/3pz9i2LUh+\nfh6X3XALR3a+QtuJNzjSfJqQkkGWQ0dDw1GOH9+DP+Ajw25he9VuVpy3Fr2uu+s/KyuX5uYmOjub\nqK09zJw5C8jOLsBqtdHWdgafr4tMWyY13/8LbxQt4Z77r0EjyX0KpuJ143/0V9E46413Ut9h5K+v\ngsMGt10UnbiiSXJPYTbCwunR5h1Pb4aiLMiaXY7icRHa9CK6BStiz0ZPrBYtBzrtZLz5HJlLK7GU\nDU1AkkUd3WW329Fodew/bSRbc5ayrt0JZ8Sq/YX7crPGb+zOP/98PvzhD/P666/z1FNPkZGRQV1d\nHbIss2TJkiGt/9ZbbyUvL4+MjAyuv/76IR0jSaauYKruA4hamDqdblQFU5Kk2Gij4VgycijEobvu\noXPLbpY9/0eyLlmLpNMSCARwu91oNBrsdjsGgwFFp8W+chGld9xI06PPUv/Lv5J50Wr0GYMH4dUY\nhcViif3b0SYNmVaF3NadkFmIlFUY+9lINEXviep+DYVC6PV6LBYLGzduIRwuJD29uxtMq9VRXDyd\nlpYWXn/9X8iyh4ULV7BmzSUoigZZDnL55dfh8eg5dOgI27Ztp7g4e8i732RIhWD2xUAiCvQS0fjB\nx32JaDKCuWXLFv72t50YDDlkZ+sIhbvIn7uG2V4vQZ0L/fT/omJmJcsWziUrq5iWllO8s/1Vsg1g\nKVqLRevplcmck1PAm2++iNVqYMmS95p32+3pVFVtR3qjilNndJTcej7zZtsxGo29BFPu6sD/95+j\nmzkP3WW38NZ+Da/ujrpe180f3KIc+PuOzgQtyIQnNkG6DfIXzyJSf4zI4b1o5yzp91kvLDDxwuvt\nFB75D3k3Xjb0RSSBz+sFKdoTuqlLS2uXhqUdzyPPXhNtnp4Aamw9kXtClmUef/xxvvrVrzJ//nwu\nvfTSIYvl448/Tl1dHStXrqSjo2NMLcwpVVYCYxdvG+55lUiEg3d+m1DbWZa99GdMJQW9+r7abLaY\nq1k9nzEvi4WPPUjhh69j58UfoXPrnkHP5ff5MMeJXzgCp85qKLO5oP0UFFWm9NoGIn6sWjgcRpIk\nTCYTNTV1HDjQwY4db7Fr11t4ve5unwuHw/j9bvR6A1ZrGrm5UTFcsmQlkYiGjo5Gzj9/JTNmLMfp\n1PCTn/yZl19+eUSuYazoWU4Q3/JvoBZr8WI6GJ2dnfzhD88SiRQSCNRRXl7BBRd8gLkLV9IxZz5Z\nnR1cXnqGbdXQ2hmNUy5bth6LxU5EE6bhxB5k9AQDwW7HleUIer2WSCTUrdzG4UjH7texf+OrBK64\nlqULp3HgwIlYDC32+TNN+B+6H/3SdYTWvp+/b5Soa4HPXAOVJan5fgFmFMIdl8KL22BfjYTx2o+g\ndLYT2vJqv58pKzYTWn8xHZt346s/nbrF9IMsy3i9XqxWK4GQxOFmA4sCW6IThWyZI3JOl8vVrT/t\nUHE6ndx77708+OCD4yL3ZEoIZvyDNFEF8+g37yd4pp2Fj/0cjIZu9ZRms5XakwG2bO/gnf90cPCw\nC5//vW7YkiRR+pnbmPuH/2XfB79I22ub+z2PGsSPn1xw6my0ybq5+WB0dJd+dHr6qHWj6sNut9vR\naDR4PB727Wtk5corufTSW9HpbLz99rOcPl0LREV2+/Y3MJu1fPCDn8LnC3DkyF4AJEnDsmXrqKk5\njsNhwW4343T68flsPPTQS2zdunVUrm2s6CmiPfuUqg09/H5/rBF9T4s0nh/84AHq6gyEQg0UFk7j\n0ktvjHkmGs6cZMbVH8G25yXWFrfx+h5w++D06WPk5RVz0RUfIdi8ix0HjhEI+Lsd/9ChvcyfvxCr\nNYfjxw/G/l32B9E+vY29uWVcfHkeFouds2cV2treG84ZOVWD/28/R7/hWlpnXszvnoPCbLjjMrC/\n5zRJGQVZ8NHL4dWdcKBBj/HmTxLe/iaRE/03jL/2uiIOla7h9B/+kfoF9cDj8WAymdDpdBxqNlCi\nbSZd40EuTG4EXzKx/lRNKrnnnnu48847KSwsHBcJRFNCMOMZLzWDydD46DO0v7aZBY/8jIAciU1R\n6XTq+cWfGrjx47v54S+P89IbZ3ht0xl+83AdH/7sQf77RzVs3NRGOBzdoWdfuo5FT/ySg5/4Nm2v\nvtPnuQKBAAaDIa7XarSzT3m6L5oZW9x7dFeqv1NFUfB6vbFSIIfD0c0NdOjQCbTaQvR6AwaDkUWL\nVrFs2SVUVW3n+PH9HDy4C1l2s2zZenQ6Peedt4Hjx4/Q0dEKRMsU5sxZyr59W7n00vUsXrySQMBF\nZ6eGn//8EY4dO5aya5kIxDda0OtNVB8PIyv6mKs2FAr1OQB58+bN7NnjQZJC2Gxmbrrpo7FjtrWd\nRpahoHIBhguuIn/vv5if6+aVXXCspprS0lmkpTm48LIbaKk7SF39cULnypO6ujppa6tn1qzFLFx4\nHidOHCZ4rkFA7f/3L9r1Ray+4SJO1kcFyWbL5ciRegDCR6vwP/47DNd+hCrLKv72Gly5Ai5bFq2h\nHCly0+H2S+GFbVDjzsB4/ccIPPMwsquzz/8/p8JMw7IraHz0OcJOd5//JxWEw2ECfj8Wq5XmLi1u\nr8Kss5uIzDwvoSSfoZKKtnh79+7l9ddf54tf/CIwPoZtT4mykolsYXqO1HLsWz9j/jO/xSPJ6GUZ\ng9HGn//vNG9uaeOG9xXw0C8WkZXRPRDvcvt5d3sbL77eysP/aOBTHylj3coM0lcuYvETv2TvzZ9n\nwd/uJ/OC87p9zu/zdevuc9YrEZEh++xByC3vtxMKJLcD7e/z/TVJV+nq6uLECSdFPdzCubmFrF17\nNa+88gR+fys33PDx2GdtNjsLFqxk16532LAhmpk4bdosTp2qpbHxOMuXz8fvD+FytdDS0sZ3vnM/\nv/vdj8esycFY4nSFeeLZFo7Xepk13czF52ezbmU6Vqs2VkYQiUTweDz85S/P0NHhp6iohMrKXDIy\nspFlBY1G4uTJakpKohaMpqAU/ZpLqdj6KG3F17Bjn5O1q6cBYMvM5dLzlvPy7j3Y7XbKyys4fHgv\n5eXTMRhMGAwm8vPLqa7eTanXStuWvTg+/QUWLrWxZctLVFQswGZzUFNznNOvPUvmgXfR3fxpXmqc\nzolG+K8rIG+UhpbkZ8KtG6Ljzu64rJKs5esJPPkXTLd/AalHUo0kSVx5yxwatsyl+dFnKP70bSOy\nJo/Hg8ViISxrqG42sMz3NkxfDMbkTe1knm+n0znspgVvv/02dXV1lJZGa3LdbjeRSITq6mp27tw5\nrGMPFWFhnkPNAPP7/bFMzFQK61AEUw6Hqfr4Nyj82sfRTy/Bbrfj9Oj4/LcP4XSHeegXi7ntxqJe\nYgnRziJrznPws/+Zy1fums5fHm/guz89SpczhGPFIhb89adU3f5VXPsPxz6jJtbEJ+/Ut2kozQgh\nNR3vdzB0KlwlapmI3+/HZrN1i8fGU11dh9lc0uc5LRYrJpMRvd7M2bNnuv2stHQGNls21dXvPWiL\nF6+ipuYYGRl2Zs0qR6czsmTJKpqbI3z843cRDAZ7nmLSk5mh5yf3zOKvv5zDpReks2VHJ3d8/gB/\nfOQUHZ1hdDodRqORf/7zaQ4dclFSsojMTC1z5y6PWjMBP263m8bGGgoKymMZutqSGehXXYx9588p\nzM5n4x4NoXD0nPkVlcwrn8+evVtpajrF2bOnmT59YWxNc+YsouHoUQ498CdOr7+RtesLSUtzkJmZ\nT13dEVpbmjj08ovsfu4ZArf8P/5aNR2nB+66evTEUqUsD65eBY++Dr6lV4BWS2jTS73+n6IorFyW\nRtWcy6n99WMo4XDK16I2KTBbLBxuNlCgNJFhkVGyhxbETbYt3nAF85Of/CQ1NTXs27ePvXv3ctdd\nd/G+972PV155ZVjHHQ5TRjDjG7D3xOv10trSwpnWVlwuFy6XizOtrbS0tOByuVLS4zNZwYxEIhy7\n/09Idiuln7gFu91OQ2OQL95zkGsuy+Obn59Bmr1/B0H8+ZYscPCHny6gsMDEp75WxcHDLjLXr2D2\nz77N3ps+h/9UMxB9wDTnsiwh2hqsqUuiJHQcMvKiXX1SjDqj0uVydZtR2RctLS3U1blxOPouDq+u\n3kN2djoXX3wD+/Zto6uro9vPFy1awcmT9XR2RuNddruDkpJZHD68h4qKMnJyimhuruGyy27jzBk9\n3/nOfeOqv+toEGhuo+rGz9H+h0dYbG3l3q9M51ffn42iwKe/Xs3v/trAseONPPvsTiQpnZKSStLT\njUyfXonRaMRkMnHmzEnS0nKxWKyEQu9tQkO5xbRk53CJfw92pYuXd4A/CGi0LJ1fjt46i9dee5Li\n4rJupQsGrY7QC/vZkZPN++48L/YMT58+l6rdW9n+yIPMzcqmdvbN/GajmdmlcOtFYBqjJjPzy+G8\nSnjsTQ2aaz9KePc7ROqO9vp/Oq2GDR9bQ4fGQdsLb6V0DfFNCtrcOs66YbZ7K5HpS1N6nv5IRQzT\nbDaTm5tLbm4ueXl52Gw2zGYzWVkjO0ZwIKZEWQlEBUj9OxKJdHsgI5EIZrMZR3p6LAnCZrNhNBjw\n+3yxmKFuGKO/1FZzgxUqqz1vzx6toe5LP2DpP3+NOSeTU01+vvY/1dx1RxlXXpybUC/Y+FIPrVZi\n+aJ0igpMfP/nx8hM17PwyoUgyxz/zs/J/+DV+ELRkhv1MyfbNWgkhZLmt2HGMiRT/306/X5/Uk3O\n1dpNt9uNVqvFZrMN2hlk8+adbNt2lMbGExiNZtLS3svwc7ud7N+/iRUrLiQ9PQtJ0nH4cLT4XbVU\n9XoDoKGm5gBlZRVA1GW1adNrtLWdpr29gdraepqba5g7dw27du1GUbwsWbIooWtKhJEqK0kVkkaD\nLjMN98FjnP7ZQzQ//CQmOcC66+dzxVXFHDzs5qtf+xGNp30UF60gHD7B8uWrcTiyqKk5zOHDO3j3\n3ecIh4O0tJyko6MVSZJwODJpbq7DFQpQsfIiCqr+jducy45TaeSlR7DYjVgiEbbtfovK2fPJyYm2\nuVMUhQM/eBh3px7L5eWUl5ViPNf71Xn8ANte/AeVC1bSMeujVJ+E960OsOG8rJEMzyVEWW60L+2R\nZhPzlhUQfO7v6BatQtJH3zuhUAidTkd5qYXHXnOR9cYzFH/0/SlLbFGbFJjMNnadNLLIuxnLjEqw\nDK0ZekSGky0Rapu1HGvUUNsCZzrBbo722+3J9u3bsVgsLFu2bJhX8h4XXnjhaNVgwlSuwwRiWX5q\nPZrR+F6mp06ni3WpUJEkCa1OF21SrNfT2dlJRJaHPPkiGAwOKJjxAqLRaGj45gPkXrWB3GsvpssV\n4ivfPcSHbyrm8gsH7lcZf719dd8pKTSzcmk6D/yuhmBIZu0d5+Pae4jmf7yA6ZJV2O12tDodigJ7\nT2qpMDZhDbQhTRtYNFRXbiLfTSgUwu12I8syNpstoc85nU4OHGhj7twNmExpHD26l+bmGvLyStFq\ndezdu4WsrEyKi6cDkJmZQ3NzM52dTeTnv9eXNDMzm+PHq/H7vRw4sIuurmayswvQahUuuOByOjpc\n1NQcpL39NLKs4ejROmbMyKekpHjQ60qE8S6YGr0OS0U5jg2ryP7YDWSet4jOTTs4/rUfo5xsIGuh\ngedff4dAsBKXP4+8PBc52ZlUV29Fp5PJySnG73dx5ZUfobCwDJ1Ow+nTRzl6dB8tLfVMnz6X3LIZ\naKdVklvzNrqAi3daitFKMl1nDyHprLSdqaekZDp6vYHqPz7H2R3VVH7vc6SlG2hpqSXfkcXZt55n\n29vPkbXiA2xtNlJcUsFl51nwOmuZObN01Dt59USSol2BthyEUFouxcZ2wvu3o527DEmSYh3HdFoN\nXWn5yP98gpwVczGVDN4PdzDUJgU2u51jZyxYfK1Ms3WiFFQkeRyoa452RPr3Fjh1RkNYljDoovMz\nO1yQmxEVzZ5s2bKF/Px85s+fP+zrGSOEYKqCmWyRve6ccLpdrmhHG7M5adEcyMLsKSD+3Yc49fvH\nmP/Qj1E0Wr7zk6Msnp/GrdcnXlg/UPeddIee9Wuy+MPfTtLWEeSSL11F87MbMa1eTHpuDpIk0emV\nOH1WwzzXJqSSuUjWgXemPbNr+0J1v6ptAi0WS8LCUV19gq6uDAwGM+npmUybNoeOjg6qq7diNFqo\nq9vPeedt6Ha83NwC9u/fQWZmNhZLtCZMkiS6upxs3PgkK1asZdmy8yksLKO29hjZ2TlMnz6DQCA6\nAikcjlBTc4ja2mZWr16YklFF410wVdQEH1tZEVlXXkD+7e/HU3OSL3/1ezS581m2eDXFZSH2Haij\nw2Xh0ouvYs7shbS3n8ZgsFBWVoHRaCY9PYfS0kpMJgvvvvs86em55OcXoTOZ0c6YTabSQX79Jva6\nS9h1YAcXrlpJWNHQ3Hgc16Y63C+/Rdb/+wylMzNIkxQObPw36ceqePOsTEfRVehzVpOhrWZxhYWs\nrCycTg+ZmbpxMSVDq4GKInh6CxQurSSt6jXQaNAWlMYacEiSxLRSC/96qZ2M7W9Q9MErh31e77km\nBX7s1LRqWBF4GypXQhKbiBON8M9NcKAe5pTCdWtgeUWAuWVQUaxlegHMLulbLAHeeOMNKioqqKhI\nTpDe+igAACAASURBVKTHEaJxAQw9QUWr1ZKdk4OiKHS0tyedwDPYfEqTyRS17rRajt3zIDO+8zm0\nZhOPPnWaSEThzg+V9nPkxM8XT3amgQe/N5cdezr50z+amPbAN3C/vZ3WZzYCUN+uodTmQgp4IWt4\n1pWaTNTV1YVGoyE9PT0pSz0QCHDsWDsZGbmx42m1WpYsWcO0aYt54YW/k5dX1Ktll9FoZt68Fezd\nuzkWizx58gStrTXMn78ciJ5fo5GYNWsBR49WkZ+fx7Rp0R60a9e+jxkzlrJ//0F++MNf4/cnNvsw\nke9joqHPTGdHeTotRYuYlrcAzbatdO16iluvWsXqVVfx58c6eeWtNurrj1JYOK3X5wMBD8uWXYRe\nD1u2vILf70OSNOgqF5F37bXMl1+jJNDAnposMtMraetop+3kMQrufD/FoTq6Xn6Bpi1VuG2r+O2Z\nHE5JJVywcj7XrJSZXzmDmppo8prdns3hw/Wj/fX0S7oNbr4Antqiw3vFJwi+8QzymaZuCTQmk5ZZ\nn3o/XbsP4jl0fFjni0Qi+LxeTBYbB04ZWOjdgmbmUtAmVhDR5YkmLD2zFdbMg89fD6vngs2cfNLP\naLWbHE2mjGDGJ/0M9YUlSRKZWVkokPTUk/jzxtcZ6nQ6HA5HTEDaXnqbsMtD/s1Xcfi4m2debuFb\nX5iZ0FDcZHGk6fnpvXPZXdVFfVuInNXLOPyF++g8WENTp0SJuwqKK5ES2Jn2973GdyNKS0vDYrEk\nvWlpbGxCUbLQ9vHQ5+YWYrOlcebMKfx+b6+fl5bOwGRynHMJNnLw4DZWrryI5cvP5/jxg4TPZSeW\nlU0nHFZoaWlg1qxS0tPzaWw8ylVX3UFmZj6bN+/lwQd/ndS6+2I8FF8PBafTycMPv4RGl0fhkkqk\nC/PJzy4i/W9vUXnkDT7/oRyamtp55uXTNDTZ6Zkrdfr0cUpLK1i+/GKysrLZsuUVgsEAAJLRTJPV\nzPkfuJ5r5p/Fu30fZSULaZ+bwVaW80zXGt60Xcvx0ivIrVyISTnM7dctZFo+KIpMUVEZ7e1tnD3b\ngcFg5MwZHx0dHeNmYzKtAC5YCI/vy0W68HoCT/0Fwt1H4r3vqmJ2lV/CkR89NKxzeTweTGYzJ86Y\nyAw3kZNrRbEP3s1HUWD3Mfjts9FGDJ9/PyyYFu2zq0QiRBpOoOzaRHjjUwSe+zuBFx8juPlllEDf\nm8hUZMmOR6acSxaGNzlEbc3mdrmQI5FuHXEGQk02UhQFl8vVre+r+hJVFIUDH/s607/1aYwzp/HN\n7x/mzttKmFc5tJ1aIg3fjUYN569MJxJy89ZBI8vWl7P/37tIW7WY8o6tMHtNv42k4+nZ1F6t1QsE\nAlgsFkwm05DckIqi8O671VgsZeh0BsLhcKxnKsD+/dsoKSnBbs/h2LE9lJbO6iVK6enZ7Nr1Dk1N\ntSxfvpbs7ALMZittba14vU4yM3PPuUn1nDhRzZw5i/D5/NTV1eBwZFFWNof6+oPU1p7C4dAxd+7c\npK9DRU0+G80pFUNBdcmqGctf/OI3qKpykps7A53Ox6LF8yhauIwFt30Q975qzvz5MSzpzZQuqeBo\nQwZvbulAq9OQl20gEHBx7Ng+Fi1ag0ajIS+vBLe7nWPHDlFcPJ3Ozg5OnjyEQZrFgfv/gam+hlnX\nXUpzWwPlWT4uv6CYedM1zCySaKjZTE5WJhqNQkFBCVqtFr3eQFdXF4GAk+zsAvz+EMHgWTIzHd2m\nt6iMxaalOBtOtsKRYAmVkSMop2owVC6MrcWg13DKWIDmD7+h4MZL0KcnLzahUAif10tYm05tq5bz\n5P/AzKWDNijwB+HJd+DIKbjt4qhQSpKCfKqG0JvPEnj+UeRTNSgaLdr0LDSZOUhmK7idaKdV9vl+\n+Oc//8m11147kWuZhUsW3rOEhrP71Gg0ZGVn4/V6o02NE0BNwgkEAr36vqq0vfQ2iqyQc81F/OOZ\nRgrzTWxYO7wU6kSu06ALY7GYeOWtNramryBy7QdwbH0GcspiWX2DES/6vnOZxVqtFrM1jTf2avnn\n20Mrz2hvb8ft1semkcRbsj6fl9bWWioqFjJ//nJ0OhtVVe/2OkZaWjoul5dwOEhe3ns1aLNmLaSm\n5mjMyvz/2Tvv+LjKK+9/773TqzQajbo0qlZxt+WKqTYECOkJAVLIkk3bzebd7LtJ3rzvhmSTbLJp\nm0Kym2xYliUhoWMIEAgY425sy1bvXaORNCozo+nl3veP0YwtJDcwWVj4fT76WNbcee48d+59znPO\n+Z3fKSlxEo8nmZgYpaamDLM5m4GBZvLznZSXryYe1/LrXz9If3//q5rLmxUHDhygrW0eg8GGRiOw\ncePlJBIBSkoqUedkUfy526j+wf/BPdaH6bdPclPyZd63TUNnT4Bv/2SAe+8/SiThIJE4vXCvXn0Z\nOp2a/Qf38cyzx+n60yShf/oehVV2Nv3qq2QV5VBfv5H+sR6mh8ZAkRke7keWo2zduovR0aFFdbJO\nZw3j4yNIkkRubiFutz8jQg9k1IpCodAitaI/V9mQIKTygDN+OFZ1Owx1kexcrOt803vKaXZeSee3\n777o8RVFITA/nwrFurSsDh9ErN4AwrmXePcs/OuTYNTDp2+EvCyFRF8Hkf/4PtHd9yLmFaP/7D+g\n/9RXEXZ9ANXWnag37EC96Uo0u9531vXhUknjvdHwljGY56rDfDWQJAlbTg5erzcj6bUc0nnKaDSa\n8SqX8y4URWHoB7+m/H9/kompKI88NcHn73C+6s97Me8LRyJYLEa+/7U6/nTASyQ7n/I8PyO7L05N\nIx6PZ0TSzWYzg1M6/uWhJLPzCu/Y9OpILq2tPcDyD97AQAcFBUVoFtSHGhuvYGJiIqMpm0Z3dxv5\n+XbUau2i2kybzY7V6mBwMJX/EkWRysp6+vs7sFqtFBTk0tPTxuHDz1FYWIPJZMLnU/H1r3+PcDj8\nqubzZkE6XxWPx/m3f3uI+fk4kqSivv4qiouzSSRk8vJOk9CiRgnLzi00/ss3IJEk8v0fcnn7Q9xR\nNQbBbgZGrHz7J4P8008G+cm/j/Djfx9hz/N29t37DGMP/4KtQQ+1X/sUq778UcSFNiJOZznZlmxO\njXuYGxiiu/M4K1duzIgWDA+frm3MyrKh11twuYYWog8mJicnM0ILaZKZXq9fZERDoVBG8i/dyeX1\nCuWqVXDr1XCkV03f1s8Sffp3yNMTmdeNBonSv76VuadfJDLqvqixI5EICAJ900byYkPklOXDOcrA\nAFoG4D+fhWvWwU1bQJpzE/3tz4g9+wDqLVej/9zXUW/diWhOeYn/HVqybzS8ZQzmmbhU8njpQvvl\n8iWvzFMaDAZEUTzrDec9cIL4rA/He3byy/8a4f035pOX+9pEzi9knoqiEF0oCcnL1fKxj6/ANzhM\nSG9n9J4nmHz07F0X0kiHm9Ph1zgmfvM8PHM0yQeukLj1GhVW48Ub/mg0SlvbGCdO7OPAgSeZmTm9\niCSTSUZGuqisPE1b12i0rF27g9bWoxnt0VAoQH9/M42NV1FR0UBHx4lF56irW83AQPeiXGYwGGZm\nZorGxnWsXr0JRQkxP+9HliUsFhtDQwG+9a3vXvR83oz42c9+QV+fgiBI1NdfT1mZDZ/PRUFBxaLj\nXK5u8vKc6AtyKfzkB6m/57vYdm3D39GC9sBzXHvod3zU8zDvn3icnR2/Y+eBX3BT22/ZUWDBsLaE\n6n/6PJZVi8XABQHWrtnE/FQL+4Z9iOEIuQvC7hUVtQy9QgygtLQ6Y0TNZjvd3SOvGE/IMNXTRtRo\nNKJXS6hjQQS/B3nGRXRiiMjUGFH/HLEFT/RSGVGrEW6+UubpvmJmt95K5KFfLcoDvvN9VbSVX07r\n1391wWPKskwwECCsWPHPJ6k1TKDYz04SlGV49jg83wSfuA5WlcaJ7dlN+N4fIVWvRP+Zr6Fq2LiE\nu3AxBlOW5Td82uHV4H/ejC4Al1JP1mA0Eo1G8Xm9ZGVnn1UPNR6Pn/OcQz++h7IvfJzW7iDd/QH+\nz99UvebPdiHzjEQimdxjUgZ/TMONRb384mkz1/7jN+n627/HUFWKeXXtkvemw6/RaBRBEFBrdBzu\nlNh7KsGOVSIf2SWhkgQUWUb2uJHyLq7f5MTEBA5HAw0N5QwOdnPs2F5ychw0NGzF7R7BZNJjtS4O\nWeflFZKfX0Fz80EaG6+htfUYpaXlWCxZGI1mnnsuJcJus6UYtzabHZMpm9HRfsrLVyCKIuXlK+jt\nbWPLlqupr1/B/v0TVFfXYjQaOHjwcWy2co4d6+XJJ5/kpptuuqg5vZkwNjbG3r1DxON+9Poyysoq\nKC/P5+jRozQ2vgNILYyBgJ++vlaqqtYTCgUwGEyIWjXZlzcykauw7vrV1JbUEfPMIEdiCGoJtT0b\njcPO3MFnaFRLNDXt44or3rVkkbXn5pGdnU9//wvYt9yBazxIkdZNbl4ZarUBl2uQ/PxSBAGKisro\n7GzC7/disWQxMSEzOzuLzbZAelEUCPsRArMIgTmEoBch7AdFBo0BRa0BQQKUFCknFkZIxknqLMSN\nNhJWB5jtiJKEJEnn3ACfCyW5cO36KL9vWcfHC4cQH/9PtB/6FIIgotOKVP/v2/F97i8I9X8CQ+X5\n2fGBQABJradrXMfmxH6Euo1nPTYSgwdfSgkRfOadoJ0ZIvzAfyHaHOg//X8z3uRrwWvVlH4j4y1j\nMF8vAXZBEMjKzmZqcjIjDiwIwpLQ67nOGewaYL6pnVW/+SHf+WYff3FrCVrtn8f5j5xBDJrwCVg0\nUbKlAO+65Uq+8cNevvqlL9J88xdofPE3aPNTognpTUE4HM6wfHtHwjx9TMRsVPjr96rIsaSud7y/\nk/Azv0fMzsV0219f1Gfr65vEbHYiSRJVVfWUlFRw5MgeDh16EknSUFm5fHuihoaN7NnzKJ2dJ/H5\nJtiwIaUOIkkSlZUNdHefYuvW0417q6pW0tZ2mPLylKB7eXkN/f3tBAJ+KivLaG21MzraSV3ddmZn\nx+nr60SlUvHjH9/N6tWrKSsru7iL/ibB9753F2NjISTJyPr1N2KzCUSjPkRRSzQa5ejRF5iZGUVR\nEoyO9mGxmBkcbEat1lJQUEFFRR1u9yANDZtR27NQ2xcvxoGAn0Bgluuu+xAvv7yXrq7jrFy5Zcnn\nMBisxGJBVhYruEOlzMViVA62UKkRGG49REFWNogaVFotRUXlDA12snrlRjSympHm49jL8xCCcwiB\nOVBpUMw2FJMNOacIRW8FtfbsxJhEHCE4i8Y7idbVBskE8ZxSorZSkpIaURQzJLT07xeiwlVfmiSS\ngAd638utobsQX9iNZmfqPr3upnL+9efXov3SXex45HvnHCsWixGPxeiZdVAdbcZY1wDi8ukPjw/u\nfyHVw/MdG5PIB/9I5NhetNd9EGll4zk/98Wul/9TjeZbhiWbFi2A1E2mUqkuWfF4poNDIIDJZMJo\nNC4Z+1xCAv3/eBfZOzbSY6nleLOPv/lk+SW52dLM1bOJCSiKgtfrxZqVhSiKtI1JlEa7sOTZya8q\nxlmi57tPJLlynR73j35Jwc03IIsCwWCQRCKB0WhEVOl45mWFF04KXL1W4Z1b1Rh0AsmJMUKP3UPs\nxH70O9+D7pqLk/0KBAK0tEyQnX26pk+lUlFQUMrk5BQnT+5hx44bFuTuFkOSJLRaI3/60yM0Nl5G\nTk5e5rWsrBw6Ok6RnZ2TETMwGIyMjg4hSSJWazaSJBGJRJiZcVNaWoEoirS3t5CXV0pOTgFTU31o\nNFnMzs4xPe3immuuuOC5vVlYsgcOHOD3vz+OWm1Bq7VhsTjYvLmG7u6XmZmZwucbp6iolFWrLkOS\nJPLyyti69R1UV68hJyeP2dlxTpzYy+TkOFu27Fz2Huztbcdg0FJQUIbN5qC19WXs9jx0utOdNOLx\nOB0dh8nLKyUU8lNblouk1jKQLEGwljDac4wCgljmJxGnRzBEfHSeOkCFBnyT4zS3n2LD2nrEvDLk\nstXIxXUks0sIaHPxyRZmIlo8ARWTfhWT8xJT8xLTAQlfWCQUE0kKEmqjESE7DyW/CsXqQApMoxtt\nRSPHESw5CCo1yWSSRCKRyYOmGfFApk1aGoqikEwmqShU4w3CweRGagYeRyUkkYqciKKAWF2N70d3\nkXNlI/rC5dW9FFnG5/UyE7Ei+mepKdPCWUpIukbhd3vgyjVweYmH2AP/ihL0o7v180illRes0HWm\nQtq58Nvf/pY77rjjgo59g+KtrfQDpxerWCyGtBBWeS1IhyRDoRA6nQ5xgSSRbqD7SixXzhKf89P5\nN9+g7l+/yXd+Nc7tNxdTVnxputyeb2MQi0aJxWKYLRaCUeidEFntfxGxdguCKFFcoKcoX8cP95vY\nanIz9fvdGHZuRWcwYDQa6XcL3PPHJCY9fOjyGKUOAdE7Q/ip+wnveQLNum0Y3/8XqPKX7y5yLgwP\njzI5qcNoXOyVyLLM7OwUKpWAxzNMUVHFsvWZwWCqlKGoqCyjSwopYo+iCIyO9lBSUpnpUiOKKgYH\nO3E6U8ok0WiUffueY3p6nImJIYaG+hkZ6UKj0S0wnmNotTr6+0dRq8OsXbv2gub1ZjCYsixz550/\nwe1OoCgSFks5K1eWAEEOHnyCxsar2LTpOnJyClCrNXR0HKKsrAGzOVUKodMZyc93EomEmJubYm5u\nCru9AI1m8WLb3HyA2to1GAwm1GoNoqihp+cETufp8H9fXweCkKShYSM9PafItReRZVKTn6WQFNS4\nAlq6faCu3EE02wm5FYyHYvQHkwz6Q5iL1kJhJQFNGcM+Hb1TGnqnNHgCKoJRAVkWkETQqhR0agWt\nSkElKSRlgfmIyLhXRc+kBs+8RDQpojFoUecWIuc6EYKzqAebkJCRshyotbpFpVVpGc60ET1TbSyt\nZ11ZABNegcPiVqrafoNar0XKL6awxMSLTWFC9z9IxV+8e9nnJxAIEI5LjE1r2WCfQnAs7UIiyylp\nu5da4JarFKpmDxN95G7UG3aguf5mRN2Fldeln5NXioMsh3g8zsMPP8ztt99+QWO/QfF2WUkarzUk\nm/YWvV4vsixjtVrR6/VYrFZi0SiRi2BQjt/3GPbrLuf4cCrft63xz9eP6Mw6zeEZkWJpEimvDEF1\n+qHYvimbz368mB+p3kUolMT1lR+SlFU89FKSR/clee9lEjdfpULncxF97D+Y//V3ER2FWL/4T+i2\n7UJQXbxgvaIo9PRMYrEs3VnLsozb3cMVV9yI1VrEyy8/v2xpQE/PKbZv38XQUM8SQYOKihV4vV6m\np90EgyHi8QS5ufkEAkF6ezvZt+9PdHaeICfHgd3u4F3vupXrr38voVAIn89LMhllcrIbs9mBIIg8\n9NCLDA4OLvkMb1Y8/PAjdHb60WiKCQR8rF69DkXxMDBwjPr6TTQ0bMl4jKGQn2AwuIgxm8bc3ARX\nX/1+iorKOHjwKTyeycxrHs8koqiQk5Of+VtFxQpAw+BgqjF0IpFkeLiL6urVGUazZ9pFKBhATibI\ntybZuakcTWwINUEiSYnpUMq4nWhuomLlDRhyVtDbPYJBK1NqS7CxLMLOuhCXV4dpdEZZWRSjOi+O\n056g1Jb6ceYkqM6Ls7o4xrbKCFfXhqhyxIgmBI4N6TgyoMMVMpEoXUtizbUIkSCqk39EmB5BIBXh\n0Gg06HQ6DAuby7QwSTKZzPAZQqEQsViU69bHKSmQuL/4q8zseZH4yVRp1Du//1EC4zP037+UeJda\nZ6L0eKxsMPQiFlYsOcYXhP98DkY98Jmr53G8+EsSR/eg/+j/Qr3lGoTzlJycibdVflJ422BeJNLK\nNcvVU4qiSHZ2dsaQLnfOM8+ryDJj//4AxZ/6MPc9PMZHP1R8SeP+55pn2jvW6fXIMozOiJT6TkDR\n6d19IpHA7/ezcY2ez3+6ip/n305HNJ/v3+NHo1L4Xx+QqIh2MX/vv5B44F8R84qxfvE76K98J4L2\n1QlDQKpJdCAgLQrNpTExMYZWq8FqzWHdui0oipq2tsNLjkkmwzQ0bCQvz0lXV9OS65KfX0F7exM6\nnRatVovBYMBqdfDCC49js2Vx+eU3smXLVUxMjBOPJ6ivryc/v5hwOIhWm4/JVMDoaDNWay6Tkz6+\n+c3vv+r5vpHg9/u5774XiMUMiGKMlSuvxuc7RXa2ifx855LG3S5XP7m5pYji4vs2EPASiYTJzc2n\nunotK1duoanphYzRdLkGKCpamvtduXIT3d0txGIRRkcHMBoN2GypjVN1dQOjo33o9AZCwQDxWAyD\nwUC+o4CApwNnThx57iT5Jh9rVpRTnhNhZakOkxAiS5rGYU5i1CqIF/mISSLYTTL1BTGuqAlTYY8z\n7lXxUq+eoYCFWNUWkjVbkMY6kTr3QySw6P1p7eC0EdVqtYiimBEtSSYTXNEQot6Z5L/yv8TAgRYi\nLz2FI0+H8um/ov///guJwOlNnyzL+PzzDHizWaPqQl+x+DtRFDjZl6qvrChQuDX/KOK930S056O7\n48uIF0m+u1j4/f63DeabHa+V9LOc7utyYTXtwgPh9/vPev40Zl44hMpiokNMhVK2bri0qhjnmme6\n96VarWbCL2AUQpjNGgSDeVGPSp1Oh8ViYf1aOzvevZ6jjX/Bqj0/Z/Xv/o7ov91J6OnfoWnYiOZz\nX0fasvM1Gco0xsenkKTle166XH0UFZUvzE9k06YrcbvHF9Ve9va2UlHRAEBDwzpcrjECAR+gEItF\nCYWCVFfXEwjMZ7zPwcFe5uenyM3Np6KiDr1eT0FBMSZTNh7PGDqdlq1bN5NIBGhoWE9l5RpAxczM\nNFlZVtraXPzgBz94zXP/78Zdd/07/f3zOBwrEcUw8bib+vpa1q69Bo/HTXHxYp3YycmhRd1g0nC7\nB8jNLclsJouKKlm9ejtNTXuYmfHgdg9QXLyUCZ6T4yA3t5SurhMMDLRnvkeA3Nx8tFoTExNDGE0m\nwuEw4XAYp7OGsbEBxsaGGRnpYuvWnQslJt0AqNXZjI6OX5LrIwrgsCRpdEZYXxplNiixr1fPSKKA\n2KpdKJZcVC3PI7q6UuzbZaAoSqa8RaPRoNfrMZmMXLVOzTu3wmM5n2Jfr5ngg7/m6k+sZSq3ihc/\n/9NMbnRuzocnqKc8OURWdfUiwtLkHNz7HBzqgI9smGJz80+Qjz6P7sOfQ3PNe15VxCf9mf+czaPf\nqHjLGMwzcTEG81y6r2eDNSuLcCi0SIlkufO67n6I4k9+iAd2u7nlvYV/VlZZOBTCsBCOHfKIOMPt\nUFSbEUkHMnNtHVT48cMJyqxR/tb+OJtXuEkmg4wdcKG75W/RbtyBeIGKQOeDoigMDHiWbRIdi0WZ\nnh6lpOR0BwStVs/atTtoaTlEKBRgdnaaYHCGsrKazOtOZx1tbccIBkMkEkkMhlS/05KSGnp6WhgZ\nGaC3t5nt26+lsnIl/f3tQOr7qqioZXi4D7VazerVazCZDMzNuVm9ehs1NWtRFImZmTCCoOKZZ47Q\n2tq6SIbxzYTh4WEefHA/Ol0ZarWMKIqsWtXA+vVXMTk5jE5nxmQ6vRBGIiH8fi/5+UtzZ273IIWF\niz3IgoJyGhoa2bt3N2q1iMm0fPeXurp19PX1EI+HKChYPHZlZQMDAymWsslsQU4mMRhMxGIyR448\nx/r12zEYTJSVVeFyjZBIJMjKyqGvz52ptb1UsOpl1pdGWV8axe1TcXDAyIR1JfFVOxG8k6hankeY\nn7ng8URRpN4p8dl3i0yUXsZ/JG5h4JEX2PH/biL5x+fof/4kszM+AhEwh6bIqigisXCvuWfh4X1w\nz7NQbZvnL+T7yN79fVS1a9B98itIRc5LOvdz4W2D+T8EFyPAfrY85YUYNVEUsWZl4X2FQPuZ5424\nJpg7eIKZNTuYmYtx+ZZL30X8bPNMh2P1ej2BCPhDCnnKOH5RnyIBmc0YjUZCUYHfPBvl2f3zvD9w\nHzuavoW9wIrxs3fyq/wvsm+ygMPbP8zsSy9fslKdiYkJjh1rp63tOLOz04teGxsbwmazoVYvJo/k\n5RVSUlLHqVP76e1tpazsdNNoRZEpKanE7XYTiQQxGPSZ16qr6+nr66W19QiNjVdgsWRRUbGCsbHh\nzOJaVFRKOBzB651BrVaxYcNGRkZaFkpU1lJZWU5paR0gMjkZ5Bvf+D5zc3MZ9Zg/twTba8FXvvIt\n5uf1rF9/PRMTh7DZcrn88lS9pdvdt0SsYHx8gJycQlSqxaSyUChAIDCPw1G45BzFxTWoVGq83tmz\nGjCDwYiiaEgklipoFRWVIssibvcooihgWGCk+/3+hefUjqKAxWLBaLThdg8jSSoSCT1TU1PnvQaR\nSAS3283w8DAej2chPRA4571t1cs0OiOsyI/RPaHh+KQdb8WVJAtXIHUdROo7BrHT4gTn89asRvjo\nLpEbrrLwcv77eGh2K8Gv3Il/2kc8KSMEw2jyiukbl3jhJNy1W+G+52Syw8N8KvFL1u79R6SsbAx/\n/Q3Um65COEuZycXg7RxmCm9JlmxamWY5xlcgCqMzMkNTMhN+iXDSgCxqUasENBdBbFSpVETCYeSF\nptOQehjTPSNHfv4b9KWFPOCpZOfldupqLv0Nll6Q0lJgaUSjUeIL7NieCQFzYBiLTYc2pwC9Xo8o\nCJw8NMq9LwgUuQ7wAcsB8rdvxnDTbagr69BbTey8PJdRRz3P9uow/PJHBJo7MdVXYshbStRJRGIc\n/7enKWxcKoz+SoyOugmHc1GUJB0dR/F4prDb81Gr1bS1HaGoyInZnL1kTjk5eXR1ncLl6uWyy96B\nJEnEYnEikTAajQa1WoPL1U9xceUZ1yfO8eP7KSwsoqZmFYIgoNXq8Hg8JJMRsrNTvUEjkRjT0y4K\nCkrJzXXQ3HwcjcaCw1HKzMwYkqRCp7MQjfpwuz1MT7u4/vrrMnNNMyXj8XjG+0yXGrxRatUe6zHI\nQAAAIABJREFUf3w3Dz54jJqadzA+fgSDIYsPfvCjOBwOZFmmpWU/K1duXcR07ep6mfz8crKyFm/2\nhoc7EQQVJSVLiSiJRIKhoXZychzMzExTWLg0nBsIzONydaNWq8nOPt3LNA1BkBge7qS0tBpBEOjo\naEanE0gmlZSQhaKQlBUEBEZGeyktrUIQJHy+ScrLl7aqi8ViPPHEE9xzzyM8+ugRnn66lT17TnHo\n0CFaW4c4erSFEydOYrWmem4u950JAhi1CiW2BEkZ2sZ1BFTZmMvKUIdmkAaOg5xEMWaTXLC952JK\nCwLkWGBjvYqKEgmDVUXemhJ6e6I822KhvTeOZ9SHabqf9XPPc437PylVT6OuXYVy7QdIFleQUE6L\n6KfGfPX328Wwu0+ePIkgCGzZsrSm9k2EZVmyb1xu++uAtBe0nDc0PS/QOS4SjEKWPkmWQUSrkUgk\nBTzzAp3jAnqNQrldpsh2fuKAIAhkZWXh8Xgw6PVIKtVpgfJkkvH/eoz8n/0z7ffP89UvvHZVn4tB\nOBRKeZfBMKPTRi6LtGEouxZ5bobp48f4Q38hHlUBt1R1UbllG6LxuiVjiKLA+99ZwOVbP8Jvf7uZ\n4H2/Y/3OT6Iqd2LZvhFdcT5BX4TpE10IRw/hzy2j7uYrMeeefWOQDscWFKxEq9VTU7OBzs4j7N37\nKCtWNOL3T7Fx445l3ytJElZrPi5Xd6ZTiiAI6PWpJtUVFbU8/3w7Xu80WVmpcO/x4/tZtWotHk8q\nXJc2wuXlNXR1naCiItWVpLKyhj17niAWi6DR6NiwYSP79++jvv4q7HYnExN9GAxWCgsrGRsb5PHH\n93DNNVeyc+c1i+aWjlqkhR9kWc4QQs4sfv9zG1Gv18vPfvYAgmBHEAIIgojTWUNxcYoc4vGMLgnH\nJhIJ5uam2LDhqiXjTU4OLXjdS+F2j2C1Wmls3MX+/Y8zMtJPaWnlomMGB7soKSnDZLLT2dnEZZct\nbqpcVlZFb28zs7MeQMTl6uOyy97B4GAP09Nj5OU1Eo/HsdvzaG45jGtsBIs1m+FhD2Ojo1gslozx\naDp5krvv/gPj4woWSwlqtZn5+RY0mgD5+atZtepyTCYzwWCAlhY/s7NNNDauOms9oihAWU6CwqwE\nA9NqDg5bKbRuoryuGqO7FVXTUyg5pcRznXC+mkY5SWxqnJlpHbZCA1JCIXL7HWz6xC1c9oFVKIk4\nglaHYLkK0XErwhnlVenylfRPNBpFluWMuMLreb/5/f5L0mz9jYi3lId5Zh3UmUW4iqIw44uhkyKs\nLIpTnqcm1yKSbYQck0JhlkKlQ0avhsFpkf5JCaNWwXie+12UJBRZJhQOYzAYMnWR3r1H8R1r4cWy\nG1lZZ6Fx7evTAietgXmmN6YoCnNzc4iSxGRAC6EApYlhQs8+zsmX3TwQu4Gqaisfea+d3KpiBM25\nJ2k0SGzZ7KD2fZvpX72LoZAJV8so7uM9zIzMoBSXUvEPn+faf/k02vNcMJ/PR2enl6ysVN4q1Qqq\nFKvVxt69j6LRaKmtXYssJ5d4mIoi09Z2hJycQqamRigrq07Vxi6EXyVJIpmUGRvro7i4gp6edubn\np9i69VomJtzIcpzs7JR3bDZb6O/vwmy2YDSaF0KIc0QiQXJy8rDbHTQ1HSQUSuDz+ZmcHMJkykKl\n0lFUVIDb7eHgwYPs2rUj094ovUCnN2xpEXBJkhAE4aw1e5e6acBy+MxnPk9XV5iSkjpCoQg2m4XL\nLtuOw5GHJEn09R3Hai1ErVYzPNxLf387TU17mJwcJxaLMjc3jSwrGI0W4vEonZ3HWbNm67L1v11d\nJ8jLK8ZuzycrK5eTJ/dTUODMeK6JRIJTp/azevVWHI5Cens70OsNmM2nF2BBEEgkZMbHB3C5higv\nryI3txCz2UpHx0kqKmozjNR4PEE44qeoyEksJqPTJ8jPzyMWi/Gtb32H3/zmKKGQnbKyRjyeEZLJ\nHt773tvYuuV6gkE/g4O95OWVEI/HCQYjdHcPMzo6QGVl6TlrEtPM2kJrAm9Ion3KzLy5BFVBKdrg\nFLqxVoTpUYRoEBIxhGQi9W9kHsE7heweYGg0REeigpKcEGazAVtuFupVK5n86j8ztuY6qnY2Itrz\nEc3WJbqvad1cSZIyXVvOdb+dS2gh/b2kN3fnw4EDBygqKnpNbfDeAHhbuCC9CKV3+Fqtllgsxvz8\nPCYd5Nn0aM/oT3kmBAFMOiixKRi0Cq1jEv6IgN2kcK7+yhqtFr/Ph0qlQlYUJEli8Bt3YX3H1fzq\nqI4v/XUlBv2lURx6JdK9ANMPdjKZxDs3R1KWMYXm6XRrqAocIzo8yh8st9Fl2sSt12nZtMqAdJHc\ne7UKnGU6drxvA5s/cRUbP30D6++4jlXv3UxBteOCFvzh4TE8Hj1G4+LdqdFoZWJikFBoHlBhs9lf\nYTAVBgf7mJtzs3nzNfT2tpGbm4fBsNibtVptdHQ0YTSaaW8/xubN16DT6ZEkNb29zVRUnC6pSSYV\nxscHM6xQjUZHd/cpKivrkCQJRZHxemdZs+ZyQqEg4+M9xOMS8XiIhoZNtLUdp6urgxtvvHZRGCu9\n41ctRBzOtqilN3axWIxYLLakr+OlMqC7d+9m9+5WJMmCRmMhL68WjcbLrl2nNXIPHnyKcDiIy9WN\nRqPCbi8gFPLidNZTXOwkFgszNtax0KR7FJ3OmJEZPBPxeIy2tkOsXbsdSVKh1xuR5Rj9/Z2UlaWI\nXCMj/cRiAaqrVy0s0Br6+1twOhePZ7FYOXDgeQwGHWvXbgPAYDAwOTkBJDNhYp3OQGdnE1VV9ej1\nBqamxhDFBN/85n9w8mSYLVs+ybp1NzAy0ktpqcLHPvY35OcXozcYsduLGBzs5PnnHyMRD5KIR1Cr\nVXg8PpLJCOXlp1nAZ4NKglxzkuLsOJGESP+MgSG5BF/OCuImB3IiAX4PielJwrM+PH4YiOTRLtei\nzTJTnjWLyajHaEp1HsmqyCdqsOK583sMOzdSWbc8m3w5nOt+g6VCC2ca0bTk54UYzOeff566ujoq\nKyvPe+wbGG+HZM/crcuynCn9OFuJyPJjQL5VwW5K0Domsa9HxabyBKaz9JFOa8165+YwmkzEpueY\nffEI3Td8ms3rRXKyLw279FzIiKQHg8R9s2g6m/BMeEmuux1RZ+CXyu1sKBa5ZYOIWvXfl1Pr7/dg\nNi8N5QWDfuLxBNdffwv79v0BRYFVq9YDqYc8EokwONhBVVUdFouVuroNtLa+zJVXvmvROGq1hrKy\nWvbseYJ16zZhsaS8v4KCIjo6JNzu0Qwr0+msor+/NSMmnpubh0qlx+0epqCgjPr6NfT1tRMIzLJ2\n7Q4SiXkSCTVjY0MIwgirVl1FS8t+vva1b/C9733ngq9BelE6c2FKS6mli97Ti9eZYbW053Ax8Hq9\n3HvvHwkEZGw2GzpdIfPz/WzZshYQ8HjcNDfvZW5umm3brqeoqCpzzTs7j1JXtw6DwURRUSWwGa/X\nw5NP/jtqtYXx8ZEl+UmXa5isLFumHRtAdfV6JiaeoKennZqaBkZGeigvP60RXFZWSX9/O6Oj/ZSU\nnF6AZVkhkYhhMi3Ob5aVVdHX14LTmRrDas3CaMzC5RqkpKSSEye6uffeA3g8Qa699vOYTDZOnnwR\nm83Hu971YbQLZVFDQ710dx+jqKiYvDwHkUiIbdt2kkwkiMfjuMb6OXasiXXrVi9qAn82aFRQYY9T\nnhNnxh/HG9EyFbMxJOcQkwTQp9SGjBoFmzFJtc5POOjHYDQuUQdr+Nx7kWfnGPi7L/G7ue9w8yfq\nl9TBXijOdr+l1YiSySSxWGxRKuvM+225ef9PZsm+5TzMRCJBKBQimUxiMBgwGAxn3TUpiRjEYyAI\nS0IeoggFWQqioNA0rMKqP3uIVqVSEV3Ytc38/mnUZhO/Hq/h0x8rw257/QxmIpEgkUgQnp1GeflF\n5L27idVtJMtiptt5EwXz7TzrruaDV+vZuEK6aK/yTLwyzH2xmJ+fp6PDQ1bWUhLI4GAbarUOp3MF\ndnsBzc37MRqz0Gr1RKMRotEow8OtbNhw5YJ4hJ3BwW5EkUy+Mo1QKLTQGeMGdAuyYCnPTWB0tDeT\nT5Mkifn5IPPz0zgcpwu9Uwt3BVqtFp/Px9zcBCZTAbIsoNer0eksjI11kZ2dz/z8PF1dnej1sG7d\nusy5FEW5KGm8M9tSpb2CtIealiy70NDamfj7v/8HWlrCCIKCLBeTm5tHTs48O3bcQE/PKXp7j6FS\nqVi58jIqK0/XQ05NjeD1zlBdvXrReCqVFrd7kPXrt9PVdZRQKExubkHmM3R2NlFYWLLoOxEEAZst\nj+bm/RgMFtzuPtau3b7oc2s0enp6TlJefjoC0Np6HKvVgtc7Q3FxZWbRN5ks9PZ2kJWVfQZZSGRo\nqJvhYRcvvDDOyMgg1dWXk0wm6Ok5idUa5vrrr8ZkspJIJGhqOsDUVD8bNlxBRUU9RUUVjI72Egj4\nKSgsWWjrZ2doaASrRcxEDURRRDyPByYIIBIn2yhTlJ0iCTlzUj8l2Qkc5gQqOUA4FMRiNi+rPQ2Q\nd/k6CMwT/sldPDhRRt36fIyGSxOpeqUnqtFoSCQSmXtuuchHelOuUqnYvXs311xzDbm5y2vgvknw\ndkg2FAoxPz+PWq0mkUhgMpkWiyInEzA1BIOnoPc4jHTARD8Mt8JYN/imQE6A3pShamcZIMugcGJY\nQqdWsJylbl+7EJqd/MX9BC5/JwMRKx/70FLG3qVCMpkkNOEi+dJTCM8/gjrbDtfdjMpopj3kZDog\nUBQf4opdlWSbX3t1UXoz8moNpss1zvi4BpNpqTRge/shnM5azGYrGo0Wg8FCU9NL5OYWkZ1tY2Cg\nE4NBlxE0ADAas2hrO4LTWbuoxOT48ZcoLHQSCMxl6gRlWcZszqKrqxmHoxCtNrVI6fV6urpSC3Wq\nA42Vjo5TFBQUo9Fo0Wh0uN29yLKWrKx8Rkfbqa5ei9/vJ5HwYzDk4Pd7GRwcoba2jKKioldlMF+J\ntCE8W37qlULgy+VD//CHP/Doo50EAl5EMQ+ncyU1NXYMBpm5uQlkOcKmTTcsdGlpXKS61Nd3Eosl\nd5FGL6RqL0OhAKtXb6OoqIqhoTbGxoYpKCghmUzQ0XGYNWu2LdH+1Wr1JBJRTpw4QEVFFXl5i2sv\nLRYrIyODSFIqrO7zeenqOsb27dfh86U6nuTmFmYILPF4HI/Hlfl+TSYLDz10H6dOxXC5jqFS6TEY\nRAYGmpmZ6aGgQM2qVZsAgSNH/oQgxNi8+bpFJCe7vZDW1kNYrbkkkwl8vjkikQRe7xQrG6pRFIVg\nMEgkEkGRZcQFz385xOPxTGQgjXSayO/zgaJgtVqX5OlfCfvlG9AbNRh/8UPuOaLBo8mlvFSPVvPq\nnmdFUfD5E/QPh2nrmud4s58jTT4OH/fy8kk/rV1h+oejeKaTKKjIyzUgSalzJZNJvvGNb/CXf/mX\nhEIhZmZmiEajmEwmzGbzRUc/YrEYn/rUp/jCF77A1772NR588EGcTidVVX82guTbBlNRFLRaLRqN\nJlOHmGGuBuag6RmIRyGvHCrXQcVahNIGKF0JDieo1DA9Bn0nIBoCUzaCSo1BCw6LzMkRFZKYMqCv\nhCiKBEZcqCqKub+3kBt35VFZdu6O6K92jiH3KKFnHoQXdyMWO7F++DNoVm9mdj7Ivg4TnoCKWqmP\n6rVOJO1ZYsmv4ryxWOysO+LzoampF0kqWiLQHQz66e1tZt267Qss0wg6nQG93kBv7ylKSqpobj7A\nqlWLF3Wj0YTHM0k47MVuT9UD9vd3Eon42bz5alpbX6a42IlarcmwVaPRKDMzroxyjU6nZ3x8DEFQ\nyMrKQRRFwuEQs7MTC4IFk/T2djA21k1HRzNTUxNMT4+Tn1/BzMw49fUbmZx0MTU1S29vF1deuQ29\nXv+aDeZyuJh86PT0NH/3d//M5GQqvFZTczX19fWEwyeJRELU1Kxi5codeL1TTE9PUF/fuOhcLS37\nqa3dmPHQ0+jtbcJmKyAnJw+VSk1xcTXT08P093ciywKKEsHpXJ49a7Xmsm/fE1RV1WW+rzOh0ejp\n6jqB07mCU6eOUFhYRF5eCXq9kY6OJsrLazORIpPJQlvbMUpKKlCp1Dz44H9w6pQPr3ccs7mcwsKb\nsFgKcDrr2Lp1FaWlDlpajtLf34XNZqGxceeSqFM8Hmdy0s2ePY8TDnsJBOaIRAJMTk5jsWpwOsvQ\n6/WoVCri8TiBQIBoNJrx+NPGMUVYSmQ2N4lEgkgkQmB+nkQ8jtFkwmA0njc3moZlQwPZmxqw3/sT\nwn3D/GivkYFJmaSsYNBLGPRLWbCyrDA9G6dvMMTxZj9/2jfDQ09Ocvf9Lp54zkPvYAifP4koClhM\nKnKy1VhMAka9mkhUYXA0zIsHZ9l5eQ5qdcqzV6vV7Nq1i5tvvpkXX3wRp9PJM888w5133slLL73E\nbbfddkHzSSMajdLe3s5Pf/pTvvvd71JSUsKHP/xhbr311gyR7nXG2zlMlUqVqU08k7EIgMECq69B\nWMbDEQQBdEbQlUNeOUo0BKOdcOwplOJaKK3HopfYXp3gUJ8KRYHy3KWF6rN3P4rhIzdht8EVWy+t\nUIGiKERnPIRffAK6m9FuvgrVDd8kgghGM03dYdSKQLZFQ0yUqFTPIhiqzz/wnwHhcJjZ2TgOx9K8\nx/h4P7m5RcTj8QWWsRpZVqipWYPPN8lLLz2DVqtaEnqFVF/MAwf+gNNZhySp6O1tYfPmK9BqdRQU\nVNDb28aaNadrxSoqVrB37x+or49k8mxO5wqGhjooK6smHo8RjyfZt++PrF3bSG5uHrW1a5iaclFd\nbcflmqG392Xm5iaJRsMcP/4nrrnmQzzyyM/o7HTz5S9/jZ/+9Pvn9RwuFZbLT8myzJe//HVcLhFF\nCVFY2IjDUYwojtDb28yHPvQFnM56Eok4bvcg+fmLpfBmZycRBBVZWYvbSMmyjMczzooVGzJ/E0WR\nDRt2curUi+zf/xRXXHEtZ8PkpIuqqgaGh3upqGhYlOcEKCwsoa+vlebmI8zPT9HYeBkAOTm56PVm\nxsYGMqQtnU6Pw1HC0FAvfX1dHD48hE5XQjDYR27uZZhMZny+YWpr66ipycbhKGRsbITx8V42bNi2\nZF7d3S0MDbWTn19Iff1qiooqqK1dCaRqeYeHu6mrC2I0GtFoNGg0GkyKQjweJx6LEQ6FmF9Yd0RR\nRFYUhIWxJUlCrdGkeBRq9asic2Vt38CmIw8y+M2fU/Do1whqbmCfazs/nzYQjcrYstRoNAKJhEI4\nIuPzJ7CYVRTmayku0FJWrGdbYxbOEj1ZlsXlb3IkhpJMEonH0VnPz/UoLCwkGo3y7W9/O7NZe6VM\n6IXAYDBw5513Zv5/4403Ul5eTlNT039r/9m3lME8E6+sxRRECZYxlsu+V2uAqg0oRSug7xgcfxql\nbhtGcw7bqxIc7FMhCOC0nzaacjSG59FnGVuxiw/eWIAkXjrptHgoSHDvUyhN+1Gv24bhb/8J0Wgm\nkUgwNR7ivheTbK4IkptvQhNTER4fRle9lMX4WvBalH4GBwdxuQIYDP5FYTBIaccWF69YyDkbMwQY\ngDVrruTee39Abe3yXovFkkVenpOenlOo1Qays7Ox2RwA1NQ0sG/fk9TVrc882AaDkZycfIaGuqmp\nWQOklGU6O0/Q0dHM2Fg/NlsOa9ZspqyskoqKWhKJBM8//zjr1q3GZJrAZDKj1xvxeKbYv/8xkskH\nqapaxeTkKC+/3MtXvvI1fvjDCycBXWo88MBDHDw4hl5vxmbLJS+vGp3OzfT0GKtXX0VBQSWRSKrb\nzuTkMBs3XpfxwAVBYGJikLy8pQvWzIwLrdaw5PsDqK/fxvHj+xgbG6K8vG5Z72lkpJva2jXMzc3R\n1naU9euvWHLMihVrefLJe7n66hsWLdzl5bX09S1mOZeXr+D3v/8F/f1JcnJ2MDXVi15fQ3Z2IcHg\nODabE0GYwOFooKlpPzk52WzY8HFOnnyJzZuvxWazEwj4OXFiH5KksGPH9ZhMVvz+OQ4efBqnswqd\nTodKpUaS7HR19bNhw+mcriAIGeMJp+twZVkmEg6j0WpRv0oDuRxUFhPV3/8yxZ+5Bdevfo/p/q9y\nQ2Upxi3rkcsrIS8Ptc2K3qzHbAAxEiHu9ROfGiE6NEX04CQT41MMj08Sm5ohPuMlGQwjatUIkoQc\nT0AyiTrXhq6kANOaWqr++UvLfpZ0tCP9+6WoyZycnKSnp4eGhobzH/w64i1lMF+rAPuS8fQmlJVX\npvKeLXtQSleiL65lW1WCg70qJEGhJCd1juk/7kNXU87DhwWufrcBn8+HzbZ8s9cLRTKZJHh8P8kX\nn0Aqq8b4V3ciZac8rXhC4fkTCke7dNywKUmhNY4tK4fmdtiu9yAYl5Jr/rvgcs0RiYTZv/9xrFYH\ntbXryc624/XOMTMzzZYt70Cn0wLCIp1WQRDIycnB55vNsFlfibq6tezZ8xiynOSKK04XwJtMZuz2\nYgYG2heRVyoqajl16gBVVavOaGEV58iRP/Gud30Euz2f8fFRenpOUVFRi0qlori4gvHxIerra/D5\n/LjdA2zceCN6vYmmpufw+WaIRgMYjXaOHu3nRz/6MV/96lde34u6DPr6+vjJTx4hElFTU7Oe+fkZ\ndDo/Go1EVlY+lZWN6HRaFAWmpkYBCavVtoglOT4+QH39VmQ5rVaUGtvtHsLhWP6eGh8fob5+XUoo\noOngEvGJUGie+flpiouvorAwyZ49jzEzM7mo8Xcaqe9+scEtKCihv791Ecs5EPDS2jpJdvY1zM8n\nkOUQq1e/j8HBk9TWrkcQvKjVGvr6UvW4O3a8G5VKRSy2iePHX2Tlys20tBykvLyaFSvWZc5lsWRT\nUFBKZ2cz69ZtBiA728HAQAfV1f6zskPTG440MejVsJovBPrKUqr++UtUfPNv8R1qwnfkFMG9e4mO\nTZDw+pGjcQRRQDIZUWWZ0eTa0BQ60BbmYV5bl/o9z47ano1kNmbIjoFAAL1KTXx6jsiwi5jbs+z5\nX9mR6VIgHo9z2223cfvtt1NTU3P+N7yOeEsZzDNxqbRPBUFIhWktudC+D/weDCu2srUKDvWqUElJ\nCrIUxn+7m+n1V1NnNpCfl83U5CSRhfZaFwtFUQiPDhJ96n6EZBzjhz+Lxnk6vNo7JvPYgST5Nrjj\n2jBmvYKAgeEpyI27MNVc+lDsq72e8XicuTmZzZvfgSzLDA21cfDgH8jJKcZisVJcXHHWvOjo6AAF\nBUVYLA5OntzH9u03LDnGYDAhSQYCgVGs1sUblKqqeo4de57y8vqMcUyVj2hxu0dwOIo4evQlcnKs\nqFRypgylsLCE9vYTdHaeor29ldHRGTo6TlFZWY+iyIyPDzIz46Wh4TJstiLM5hxMphyGhpoBLbt3\nH6K4+L/42Mc+dtHX69VidnaWz33ua7jdATZuvJXZ2R40GoGcHJHLLruBQ4f+QNGCQLcgpHRi8/Kc\nizwkv3+WSCQlGRiLRVEUFlRjBCYmhtiwYdey5x4fH6CwsJzi4moOHNhNZ+cp6upON9weGurD4Shc\n8BpVrFixgdbWI1x55bsXjdPT08K6ddvo72/H6VyxyFMtK6tjYKCDgoIS5uf93HPP3Wg0a4lEjMRi\n3dTU7EIQZEBGpdJgNEbxehN4vYfZufMDGY+1rKyW/v5Odu/+T97zntsoKHAumU9t7Qb27HmM6up6\nTCbzQqsuB11dA2zadP5G4hejy/pqIWrUZF+5mewrN1+6MbUadMX56Irzz3vspZqfLMt89KMfRafT\ncdddd12SMV8L3pLi6+nfL+VOSNCbYN11IKng5HOYCLK5MkHzqMT4yDzeg008Fa7l+qttiKKYqs1c\npm/m+RALh/A+9Xui9/0Y7ZotWD93Z8ZYzocUfrcnwSP7kty0VeIjOyWM2iShYBCtwcSAR6TaPINg\neOPUSM3MzADWDMOxoKCaHTveA8Q5ePAZrNazU9Ndrn6Kiiqor19HOBzPtHM6EynSRQSdzrTQ4us0\nbDY7RmMOIyN9i/5eXl7LwEAnhw6lCuO3b7+O3Nwihof7iMWiuN1jDA+Pcffdv6WlZRZZrqSs7BZE\ncRuhUCWxmJOWllb27Pkdfr+fvr6XMRgKqK7eiCxH8Xjm+PnPH+CRRx65FJfwvIhGo3zhC/9Ab+8M\nlZVXEY0mmJkZwmYzc/31t+DxjOBwOBeJqE9NDVNYmMpfyrJMOBxiZKSL3Nxi9Hpdpq+jSiXh9XpI\nJBQMBhORSPgM3dwk0WgEr3eCwsJyVCoVmzbtYmSkE5drKHMul6uPsrLTKYLy8mpEUcvgYEfmb5OT\n40Qi86xffxl6fRZDQ12L5lhSUk4wGGR21sN99/2S6Wk7FRXvYGamG50uyfz8ED09v0WSJujqehir\n1YDL1UVubjUm02kSids9RiQyT3FxCZHI4m5Daeh0BqxWO88+u5sDB57jhRee4OTJw+zde+KCBN7f\nbDgzonOhx16q895xxx14PB4eeeSRCxJNeL3xlmLJwmkR4Xg8nqltu1QQRBFyilOlJ91H0eU6yM7S\nc2JQRKNEORx38okP5y3kPlQZhtwrC5OXgyzLzHe3Er3/LiS1GvNH/wZtVUOqjEBWONwuc/8LSSoL\nRG7bKZFvE1EUhcD8PBqtFtesFo3PRVltyavuiXc+pJnHF4Pu7mECgSwEQZVRXzIaTeTlldLV9TLR\naBCbzXFGuFUhHo+RSMTp6TnB2rWXIUkSFouN5uYDlJRUojpjfgMD3chyhMLCStzugUWlJ5BW8GnK\nlI5AqlvGH//4GEVFRWzadBWCIKBWqzh8eC9er0hT0yCRiIxeX8QVV7yX/Pxcpqdb6e8/SmFhPQ5H\nCV6vi7k5L3NzHiIRhdHRZiRJh8lkIpEQcbvHOHz4OGazihUrVrxuRKBEIsEXv/j/OHBX48OEAAAg\nAElEQVSgD5OpGp2ukqGhx3A66/irv/oyWq2WtraDOJ0rM/JzPt80XV2nkCQ1PT0naG8/zOhoN83N\n+4nFwgwPdzI56SISiWAymRkfT2npFhc7z1jUFBKJJENDvcTjQYqLq1EUUKu1ZGXZOXXqAA5HKX7/\nHFNTwzQ0bFr0uc3mbFpaDlFaWoUkqTh16hBlZRXYbA70ejMdHccoK6tBFEWSyWRKSUuGZ599mK6u\nOOXl76aj4zHU6lkkyYZOl09Z2WWUlDTi83WhUsWw2wvR6XLIz89GpVLh8Uxw8uQeNm68grKyOlpa\nDlFYWJ75bmRZZni4n+PH9xKLBZmZcVFfv46qqloKC0sQRS1qdYyiosXlNq9ELBa7ILGDNxLi8fg5\npQDTCIfDPPHEE5ckevLZz36W9vZ2nnnmmYteVy4B3mbJnolL7WGeOS4l9Sg6E7TsIWfFVox338/s\nx7/IO+dmOPMZsVitTE1OntPQKIpCODBP9IXHofMkhptuQ7tyY+b1oQmZxw8m0WsEPn2TirxsYdF7\n4/E4RouNwWGJHfbQJWnwfKmQTCbp759Eq03lXY1GY2YRcbsHqa5eS1lZFceOvcCGDVfjcJxeiEZG\n+nE4CjIbHrs9j/z8StrajrJxY0oQXFFkBv8/e+8ZHVl+nvn96lbOEahCIefc6AYanXu6e1IPOeSQ\nHJKimFaytCtrJVmyd1e7Pj5rnbXl4z36Yq8t7fHZsWmREjU0OaQYZoaTu2c6ojMy0MhAoapQOedb\nVf5QALoxwCRqekjO8PmCg7rhf/P7f9PzLE+yf/8xjEYLr732I2Kx8I7QrMNRy8SEErd7mbq6irrG\nnTsj2O1OVKpK208ul2V2dpGFhQwzM1ewWHR0dp4gGk3hci2QSnmor6+ITWcyPjKZAn19T+DxrJLL\nRUmnfSSTSZaXVymVwqhU1RiNHcRiy/zlX/7f3L69wKc/fRazWUF/f/+H9nEol8v88R//K65c8SCV\nWrFYOkmnb9He3skf//G/3SRfCJLJZHE46hHFIsvLs1y//nMKBRGFQkJf3yFMJjuimKdUKvL441+j\nVCoQCnnxepd5661RNjZcnD799I48HYBcDpGIl7q6ViQSgVKpiCiW0OnM1NW1cePGObRaI05n064w\npcVio7q6ienpG9TXd25S8VXI7KuqqtHprCwtTdPRsW97W61Wy82bLnS6/UxOPodCoUalspDNGhDF\nEjZbC5nMOkajilDIxf79jxOPh/H5ApjNem7dOkd//2GqqipEFbW1TUxN3WR4+CGi0TBjY1eAEr29\nQ9TU1DM5OUI8HqetrcKZajBYWFubobe3UjH7ccEHCSHH4++cx/0gWF1d5ZlnnkGlUuFw3AsBP/PM\nM3z1q1/9J+//F8UnymA+yJDsrrGqGigr1JRG38BeWOFnF1w8/mQbmUKErZoxQRAwWyyEQyEUCsWe\nvV/J5Xn4+T8gq3ai/dP/GUFb4UeNp8v8fKTIorfMk4elDLTuZnVJJZMV8uz1InXiOtrGB9/0+35f\nrmKxyPr6OqmUHJvNsOvcNzZWsNsbqK1tQRCk3Lz5OocOPYbVWk25XMbjWaK3d2e+qK/vIG+88SP8\nfjfV1bWsr6+gUMi3G+xbWnqYnR3l8OGHd2zX2trD0tIUdXUtTE+Pkc3Gefzxp7l06ed4vWtcuTJC\nKFQJnefzARoajhEMLuP1LuN2L/LEE/+MmpoOAgEfa2t3aWoyE4tBMpknl1MiCBKk0jVUqv1Eo2sk\nEgtIpVJKJQ2RSJjvfe85bt26w2c+803W1rLU1OhobXVSVVX1C4ehSqUSf/EXf8m1awESCbDZHJRK\nazQ12Rkefgi9vvJRc7lmcThaWFmZZWHhNnq9AaPRxODg41RV1SCXVz4Ra2uzWCxb2pdSamqaqalp\nJhLx8/zz/y8zM9dIJML09BzcnsRUiNm9DA0d294PQLkM3d1DRKN+xsev8OUv/wuy2exmPlSKIFSM\nbk/PAc6f/ymhUJimpo4dOcuurgFu3nx9W1Emm03z4x+/SDotJR6fRKVyUlPTRrGYRxRzlEowN3dx\n8z5kkMlqKJfL6HQmlpeXuXt3jba2CqvPFrq7D3Hu3HPcunUFv3+Fzs5+WlruVWm2te3jzTd/Qjrd\nj0aj3eyDtbC8vEZf396V27+OwuK/DC3MxsbGX0kN2U9UDhM+mIj0P3ksYxWr59ap/+IhPt3koqW6\nxMSGkdx9urhKpRKtTkc4HN5BdByPx0heeAl++F/QPPRpdF/9IwStnoJY5s3RIv/7cyJGrYR/81sy\n9rftbk4uFoskUynyJQXehJyORiWSB5gDeL8vVLlcJp1OE4/HiUTi6PW1u4yCKIoEAt5tLtKamkYG\nBo5z48YbxOMxotEIhUJyFyOMXC6nt/cwExMjlEolFhen3vaB6yEcDhKN7hSmrq9vIpvNMT09yvr6\nHMPDp9Hr9RgMVt588zIqVQ82Wyf19a00Np6mpqYXp7MfrVaL2WxndvYGyWQMm60KkG72JI6QSi1S\nLBapqWnBbO4gnXbT2jqI3d6HQpGkp6cNrdaMKBqYmVnhBz94hkRCIBq1cPGii+efv8TVq9c/cF5M\nFEX+9E//HT/60TjFogGNRoPZDMeOHaO1tYm2tv7tdVdXZ3G7F3G5Jhkaepje3uMoFCqqqnYWdvh8\nK9uEDvcjGFynp+coDz/8RTKZKG+++ROi0RBQqY41m627eiolkgr1oN3ejEQCyWQEpVK1aWjL26kK\nkFBV1cjMzG0aG7t2vK8Wiw2Dwc7i4gQAIyOXuXNnnnJZQCZr5sCBp1CppKjVtbS3D6PVNmC3N5LJ\nrFAsFlAqtZtE7ALz81MIgnTHdQEQBCnlsoJr117h6NGzO54lqOQyHY4G5udntn8zm6uYm/OSy+Xe\n9R79OoVjPwg+zjyy8AnOYb5dyeNBoJTLM/H7/56/lTzBN06kqJIniCusLAVV1JpKbLJKVZiH0mnE\nQqFCsRXwIXnhuwh+N/rf+e+Qb/aXTa2U+btXixRL8PVHZQy0Csike794sWgUpULBrEdFq3QNW0vT\nAzvPLWSzWZRK5Tt+DPL5PMlkcpNmTs/t28uo1Q07co5QaVFIpWK0tfVt/2YwWJBKBSYmRkin01it\n5j0/4EajGbd7Db9/nVQqsoOXtOLVlbclvu5HJpPjypVXOHnyCSyWKkSxwPKyB5dLwGarJRCYpa/v\nLKVSGZ9vGZ9vmp6eU9TV7cPvXycWW0WtNuL1LrC2Nsrw8ONUVVUTieSw29uRSqFYlJLNBhgc/Dxu\n9yqJxCJ/8id/RjC4TrGoxOPxceHCz/B6Z5FI5ASDcaam1ohGC/j9PqCAXC57V/pBj8fDN7/5R1y4\nsIxW20mhEESnU/GlL32N5uYGksk03d2DiKLI1as/Y3b2DidOfIqBgdNoNHoWF0dRqQyb/LkSpFKB\nfD7P9PQIAwPHd9HaTU+P0NDQgcVSRV1dG1KphDt33kKt1uN2L1NTU4fJtHfh1vT0rU3vfpKamoZN\n5ZgKU5FMJkMqleFyLZLNVkKcWq2BYrG03Vqk15uYnLxOsVjkO9/5EfF4ivr6z6PTGZDJpGSzEeRy\nI01Ng2SzGQKBKzQ0VNPTcwq3e4xgMIREUqBQiOFwdFJb69h+VkSxyMjI6ygUAhZLFUqlCrN5NzmG\nwWBmcvIajY2VXKsgCCSTWbRaEYtl777u95sP/FXBFlfu+8mzz83N4ff7eeSRR95z3V9x7JnD/MR5\nmFv4KDzMwEtvUW5oIqCuRXXoLJJEkO74ZSyaIiNLUsTivXV1ej2pVIq0axnJP/wn5M569P/i3yG1\nVLEeKPPMC0Veu1nk6ZNSfuesDJvxnWeouWyFkDwUlyGIeerb3r0I4UGjWCySSCRIp9NotVp0Oh2p\nVIpUSrKDzm4L79Qc39LSh93u5M6dtzYVMvbGwMBRRkev4XA07GqSb2npIhIJ7/IyY7EAcrkMrVZP\nuVxmYWEBqbQduVzP1NQbdHU9hEJR+WhOT79FQ0M/RqMDq7Uavb4Os7mR8+f/Do1GRnV1N2q1hYaG\nDqqr5WxsLFNf34fRWEWhIMHrneCRR/6QYtHOc899n69+9Rt8+tMnGRw8CGi5cmWU73znb5iZuYPB\nYEIqNSOKtYyOpnn55TGee+5lfvzjF1hfXyccDpNMJolGo/zH//hXfOELf8SNGx5Uqn5yOQ8ajYQ/\n+7P/kcHB46ysTNPS0k8w6Ob8+e/h9a5z+vRXaGy85zltbKxSU9O0493w+ZbR66t20Ram00kSiTh2\n+z1O5MbGbg4ffpzJyUvMzY1tV9q+HclknGQySE/PEE1N+7h1661d8mXZbIpIxMPp059lZWV2s31D\nvpkPLaFWa1GpTHznO98jFotTU/MpNBotra1DBAIT5HJsTlakKJUSQqExOjtPYbU2cvDgU3i9U0xN\nnae7+2FyOTnhcBioGLSrV19FqRQ4evQs/f1HmJ+fRLz/hd2ERqNHo9Fz8eI5JiZuMTp6Hbd7nStX\nxrdZxe7HR9FS8svEh5XD/FXFJyqHCTsp8R60wfR+96dMNRznqcftSBQqygOPIoydozf0GuPmRxlZ\nlDLclCefSyOKItrVWZLV9Zi/8Pto2nuIJMu8cl1kwV3msYNSDnZK3lNRpFQqEYlEUKr03PFqGDSv\nIFF+NFRSb7+m5XKZbDZLNptFpVLtILsPhUJIJHvPwP1+FydO7N3PVlfXiUTyc9zuNWy2vScCcrkC\nuVxOOr2bkksuV9DS0svMzB2OHq30Da6uLpDNJhkaOsXCwiQORxMej4DZ7CSbvYhUqkWns1EqlXC5\n7lBd3Ui5LN8+Z6PRzMzMG/T0HCOZDGEw2HG7l2lq6qSmpp75+XNMT4NEoiCTEZiZuU0qVaK29ihz\ncz/nmWe+xZEj+2hutnHixO/y2muvsLrq4sKFi1y9eo7u7n5aWvq2RQMEQUFjYw+lUox0epGLF1/g\n4sUb+HxZZDI9TudBrNY8dnsrjzzydRobWwiHfSSTCSIRF1NTa3R3H2F6+uIO3cp4PEyhkKeqyoko\nFnYUYO3Vj7ixsYTVWrujHQXAYrHT1NTD+voys7Nj7Nu3uxdwbW0Rh6MemUxGV1fFiM/O3trBW7uw\nME1NTR1OZyMej4vZ2VsMDBzbMQlaXJxldTWITteI1dqKXF5ApzOSzUZQKBwYDHbKZQiFxnA6G0gm\nM+j1IJOpMJuriEY3SKWiCIKS27cnefjh44yMvI5ardguHrPZajAaTczPT9HdXSG5yGazLC5WwtmZ\nTJxAwIPD8TBKpZJiUU4gEMTr9VJfvzNt8OuID5rD/I3B/BjiQRvMnNdP5Ooo58/8Nn/3UCWUI5HK\nSDcdxBiYZ1/gBW6bznJ1QcagXUT20ncpJ+OYv9RPNCcycivLxUkpR3oE/vwrUpSK99cDFY1EUCiV\nTKwKdCjdqGzWX0qhQaFQIJ1OIwgCBsPuop6rV8fxeDQIggab7R6jSyDgRqHQbLc4vB3r60vs33+M\njY1lLJZq6ut3ezBLS7P09OwnHPYTCm1gte7Mx7W19fDqq9OEw37Uah2zs7cZGnoIrVbPyy9/n1BI\nitV6CJdrCovFRC6nIR6PEAqtAXn273+M5eVpnM4mstk0kchdlEoDzc2HCAaXmJq6TCJRJhTyYzJV\n0dBQy/z8LDZbI1JplkIhzuLiizgcvVitjYRCSywthRgc7MTr9XLq1GMEg0HGxm7g9W4wPj7H6Ogo\nAHK5DJlMQCKRkc2KZLMlwIBCYcZuN9DW1kVXVwdyuRKDoZqOjkpRzOjoOeLxKGZzntOnv0QgsIJO\nV7WDHcnjmcdub96hrSiKIsGgl76+47uus9e7QkNDz573KRLx89BDX8Drvcvo6Aj79x/ZsdztXuTA\ngaPb/w8OnuDChReorq7DZqshn8/h8Sxy4kSFnamvb4jz539Kfb1/m97w9u2LjI+7kMn0aLW9CEKO\n2to+NjauUy5nSaXWmJv7Cdlsmnx+kVOnvobbvYjN5mBu7iqdncO43V6uXPkxRmMztbW1vP76z7DZ\nDNvGcgvd3cNcufISjY0tLC3N4XLdxW53cvDgCSyWai5efBGt1kRTU6WwLpmMMz/v3mUwfx09zA9y\nzMlkErt9N0PTxwW/MZgPCN5nnye27ygPna5Fo77PWEgk5Or7Kbtm2O//KZOmR7k5leeAuQbtl/6Q\nkTmBVU+aE11hDnzeitn4/vvzEokEoijiDcpRldI0dzlJJJMfmcHckpbKZDKIoohGo9mTLzOXyyGK\nalQqObdvv45Mpqa9fZD6+iY8nmXs9nem7fN6l9i37ygKhZwbN85hNlt38JeWy2XW1mY5dqxidPYS\nkpZKZTQ39zI7ewepVElNTT0WS9VmG46KYFCKVpvG55tmYOBTBINB5udHKRb97Nv3KVQqLSsrMvz+\ndVyucWpqmjGZpNy8eQmFQoFSqUMUk1gsduTyEkplAaUyTDyeoaWlk0DARDwewGCwIAgKwuFFJidH\nMZkMnD37GMvLs5w58wRPPvlbjI9fIxYLsbERZnXVTTyeJJ2Okc9n0OlsdHV1curUQ6ysXEOpNNPS\nso/29n5u3HiV3t5DiKLI+Ph5bt26zOc+94d0dFTywuvr89TVdbzt2i7T17eTts7nW0GrtaDR7Ayd\n5/NZYrEwDsduibp8PkskEmBo6AxNTW1cvfriDqMZCGwgCMUdEQKNRkdf31Hu3LnEqVOfY2lpDoul\nCp2uMnFSqdR0dh5gYuIaJ08+ST6f5fnnXySdVqNWW1AqrRQKUfz+q8zNvUxV1QH0+g5KpTL5/Bw9\nPUNUVzvZ2FhndPQ8Umma6upDeDwJEokCFkuKeDxAMhnmscee2nVORqMFuVzNc899i66uXk6dehKN\n5l41aFtbH7Ozd7YNpk5nYGPDTSQSwWx+fxzVHwckEomPUoLrI8cnruhni+uwIhWV+4XlqN5rjOl/\n+Rf81PZpfu+/GcS0afREUSSXy1EqlVDZ6yEcxO4fIat3MmF6iJ9fLZIvwNnDKqwmOcl4GNmmdM57\njZfczBEmEjJ8KTWHehTIFAry+fy2zNODxJaAbKFQQC6Xo9PptgVn3w6/34/bLaWl5QCtrRXF+rt3\nr+N2rxEKrdPdPYRavbuPze/3Egqt09LSj9FooVgsMDc3QWNjx/Y4a2tLZDIxOjr2YzZbWFmZ21NI\n2my2cuPGRTKZGEePVlQ0fD4PKysZFhfvMj9/EZkM0uk4xaLIxMRb9PWdwGqt9OhJJAK3b79EdbUd\nmcyGz+cikYgwPPwQbW2DBAILjI+fp7q6mp6e0zgcTfh8G7S3P4zBUE0ymSCbDdPX9xitrcdZWhrB\n7V6nVMpw5sxnmJy8jkRSZnj4FDabA51Og04nRaWCtrZ2Dh48xuHDh7Db9QQCy5RKBp566ndpa+tl\nYeEWarVlc1LxMn7/Bj09R9i/v6LEkc2mmZm5wYEDp7afi1gsyNraHH19R7cnPhKJwMLCbWy22l28\nri7XHKJYpLFxN83i6uosxSI0NXUglcpwOluYm7tJKpWhutrJ3bvjWK22XTJeBoOJWCyGx7OIz7dG\nb+/wDg/YbLaxurpEoZDm+eefZWlJQqkkxW4/RDI5QT4fRa+vJZNJMDz8X2M217K4OIFOl2V4+BQK\nhZp8PsvU1Kvs3/8ki4t3MZn0aDRWwmEX8fg67e2nMBjkm72wEqAysR4bu04wuI5EUuTUqc/uej71\nehOLi5NotQZ0uoohzefLFIsxnM571+6DFND8qkAUxW3lm/fCq6++yr59+2hqanrwB/Zg8Zuin/vx\nID3M6OVbZAoSlPt6aarXUCqVSKVSJBIJJBIJGrWawrmfkjr3EvOmU1RFp7DHZ+huV/L4YTl2swS1\nWo3VZiMWixEJh7ere9+OYrFIJBwmk8mQSQosJwwcai+j2Gx+/yhytaIoEo/HKZfLqNVqNBrNu4Zw\n1tdDqFT35M1qa9s4c+YrqNUqZmbGSCb3lgNaX1/G4bgX4urqGkIqFZievrP92+rqXRobK56TRCLQ\n23uY2dnRPQswRLG4XZGZTMa5cOEKqVQEQRCRSsscPPg0DQ37iMXclMsJZmevEY9XioVyuTDxeIBQ\nqEAyGeHAgWO0tPQSCm3g8y0hkZTR6fSUy1pUKg21ta3U1DhZX5/EYKjC4WigVNIyN3cJg8HCQw/9\nHhKJjJs3J/jxj7/FiRNPEItFuXDhBZLJGIVCBo3GwvHjT3P27Nc5ePAMPT2HqKtrpqamg69//Y8x\nGs0kk1Hm5ycJh9eZnb1Db+9J9HodnZ2D2+ftcs1QVdW446O9uDiOIKiZmLjG1auvcunSC7z11j8y\nMvIGPt86U1O38HrXtwtfKnnNvQt6fL6VHcU+CoWKo0efZGNjidnZMXy+FRoa9uYz3rfvCC7XOplM\nbE/y9f37j3LlymtMT4dRKjsolwvkcguYzXU4HI/h8UzidA4ilyvI5zNACoVCglptRBTzhEIzGI1N\njI1dx+Fw0tV1AKVSSqGQxuFoIZPJsrTk2ZSTyxGNhjl//mckkwEee+zLtLX1Mz8/teext7T0sLh4\nj7LPZLKxvBwkk8nsuf7HEclk8mOdw/zEG8wHYUzc3/5Hppoe4nOfcpDNZonFKhymRqMRoZAj++zf\nsOAS+fvmv+SVtXrC7WcZqolxJPMGk2tlxl0CYrHSblJttyMRBHwbG0TCYdLpNLlcjkwmQzQSwe/z\nIZEIhINlFuImjrYW0Bp2zn4flMG8fyKgUql2aS/uhWKxiMsVRa/fSYQuCAIajY6DB89w9+51Jiau\n71heLpfx+Zaoq2vf/h9gaOgMLtcMwaCPaDRMOh2hru5eSKi62oHJ5GB29taO/S0sTFNXV4tMpiIY\n9LK6uoZO183+/U9jNJoxmdrRaCzI5VokkiJPPfVvKZfVTE29weTkRWZnL6HX1yOTCfT2HkSt1lJb\n28D09DVcrjEGBs5y6NBnmZ29SiaTBmBg4Bjx+CrZbJKamg4MBhuhkI9AYBmHo4OWlkOUSmpu357l\nxRe/x8DAMIlEnO9//9t4PD66u4fp6xvE6ayntraRfD6N1+vh8OGzFAoZFhdH+f73/zcymSKtrYOc\nOfNFisUMSqURq/Vea0clHNtOPB5lauomb7zxHJcv/xwooFRKqKtrprNzP3Z7LS0tvTQ0NFMqZZmf\nv86rr/4DIyPncLtXcTp3F7RUcrqh7R7aLahUGo4d+xQTE1cRxTSad+AzlsmkaDRacjmReDyya7le\nb2RubpVYzEw0OoVOZ0EQrPT3/zZ6vZZIZJn6+iOUSiW83hnq6upRqaTE42FWVkbJZjOoVGYUCgUO\nRz2hkJt83ofdvg+7vYdgcI5YLEcsFieVSnL9+mvY7dUcPvw4EomUxsZulpdnicWiFAriDvWchoYO\nYrEQsViEfD5HsSgikRhxudx7nuuvC34ZxAW/qvjE5TDvJy54EChE4vhefJNbj/2vfLNTSj6fr4jD\nymQUfW5cz/4jF81fIaGz8/iAlH2tEgSJBBjGXOXj1NzLTAX3cy5SQ1ct1FkETCYTer2eTDpNJpOh\nVCxultgr0MhVTK1IKEl0nOgCtWansXwQ51kul8nn86TTaRQKRWUiIAjbMlDvhnA4TLGo39Ow+v1r\ndHUNYzJZuHbtJa5dS25zufp8blQqJQaDmWQyub2NRqOjt/cot29fxGKx43Q27Wol6e0d4sKFn9Hc\n3I1WayCTSbG4OMGJE08QCPi5desiMlk7tbUHWFubxGKpply24PWuEoksUVvbjcFgpbFxP+VyhpGR\nZ9ForDz22NPMzU2Sy2VQKtWEw+vkciGqqx9FpzOj05mZm7vFrVtvcOLEZ9HpjDQ1tbG2NkpPz2ls\ntjqy2RTT029y7FgdnZ0nicfd5HIWXn75NTY2PDzyyJd59NGv4vW6WF2dZWLiMnq9kWKxxOLiLHV1\nnVy58hMKhSIKhRqrtZEnn/wd5PJKn9/S0iQtLfe8y1Bog3A4zMLCKKlUGIejnsbGdkqlAo8++lvb\n6+XzedzuOdra9tHYeE9nMp1Ocv36ywSDG9y48Sbd3UNYLPfC3R7PIlZr3Z4hR43GgMVSg9+/ite7\nSk3N7uptn8+DXC7hwIEz3L79FidOfGYH3/Pzz3+HdNoBGMlkpqmtPYJcbsDjmWVu7hWkUhN3715D\nrTYCeUwmJRbLAOPjV0gm1zCZWhkaOszKygILC+PEYot0dh4jnxdYX1/A4ejC612iUIgiCAH27TtM\nfX1lkiaXy1EqldTVNbOwMEN//xD5fJFMJoXf7yUY3CAQ8PG97/0X6usrE4ZyuYzbbaC1tXlbd/Xj\nXPSTSCQ+FP3LX1V8Yj1MeDDhSs8//JRg8wCnztah1aq3jeXajWn+9rkAPzX9LvuGqvjXmww9wv10\nfSY78oOPs9+eYChzgbXVKG+Ml5lZzRNJCcjVekxmK1qtkVwK7i7lueIyUW0ocXRAi1qzuxn6wz7H\nrZ7KCvG2Dq1Wu6cg8DthYyOEVLq7CCKVipNOJ7Hba1GpNBw//jmKxQxXrrxGsVjE41nB4Wjac5/1\n9W0YDCZGRy/R2rpbYFanM9DY2MPk5AgAMzOj1NY2YjCYcTobWF7eIJlUk0rF8HgmqK8/QG1tI3fv\n3qJQiON0VvZptzu5du01nM5O+vuPsrp6G5PJhtu9jNe7gM83y+HDXyAYDFIuV3oKh4c/w/r6NOGw\nDwCns5FAYJpbt14iHg+Qz6eIx8NcuvRdPJ4VpFIT2WwUcDA3t4RKpUStVtPS0sHJk2d57LEv0tjY\nSSgUoK/vYfr6jjM8/ARnz34NuVzCwMDJbWMZCnnJ5fLU1jaTz2eZnb3GCy88gyiKNDW18fjj32D/\n/jOkUlFqanYSOVTYitzU1e0Mu2o0OpRKNY8++tvY7TVcu/Yyd+5coVCo0Fd5PMu7CO63kE4nyedT\nnD79NGNjVwmHdzMYLS3N0NzcRXt7D2q1lfHxK9vL4vEIV67cQaFoIZsdQyZrIsPjQiQAACAASURB\nVBDY2Ay3ZlEocvT2foZcTsTnmyad9hMMTqDRqFlYuEa5rOHAgRNotQaczkbGxl6lpqYLo9FBVVU1\nUqkcudxEOh1jdPQiTmf3trHcgkQioatrCL9/jUBgg7GxEa5ceYlQaJ3q6moeeeTz2O01HDv2BI8+\n+kXOnPkcJlMLbvevt5f5fvFxbyv5xBnMB8Unu1X0svLM93nTeJwvfqYBpVJJMFri759d5du3HLQP\nOPmTLwoMtZffsZ9SIghInO1YDh3neGOKYfkEJb+L6bkY58bLvDQqcHFWympYjkUn4ZG+Em1tlnft\nz/wwzvF+SjuFQoHBYNjlRbzX9SyXyywvhzAYrLuWeb1L2Gx12/dHJpNx5MinkUrLjIy8gde7RH19\nyzuOY7XWUirlt2nZ3o6Ojn6i0Tjz85P4fKt0dAyQTCYJh/2YzQPEYlE8nlmqqupRqw0olWpisTXk\n8mpKpUrl79jYZQQhTVfXKbq7T6PTGYnHV1lammZl5Sa9vadxOOpRKLRsbKwDYDRaaW4e5NKlnzA2\n9gYu1yhtbZ1Anp6ek/T0HKex8SC5XBq/34tcrkcuL2OzNZHPa/jrv/5L3O6l+68yy8vT9Pae4siR\n09TVNWE0mnG55igW5TQ33/MGFxdHsVicjI2d4/XXnyUWS2A0VvHkk79DfX0XglAhAPD5Vqmv31nZ\nuLGxjFZr3iXKvVUB29DQTFvbAI888mVKpQznz/8jq6vzJBKxPStnodJ7abc7qampp6/vODdvntsh\nuRaLRYlGfTQ2VnhYBwePE4lEtmW+nn32/yKTceLz3UGh0GAyNWO1tlJb20cmE8JodNDQMIROZ0Cj\nqaK5uY/a2jpefPGvkUol6PUVbt5iUWRt7RZOZ+tmW04FDQ3tjI9fRBDKmM1VbGykSKfTu84jn88T\njcZ45ZXvYzYbeOyxpzl27HHa2/uorW2ksbENj2cFmUyKQqHEZHIwNjZHMpkkn89TKpUQRfHXhlf2\ng3iYv24sRh8UnziDeT8+LINZKBSIx+OELlwnnYW2zx4FqZwfnc/xn59LY00s8ue/JeXUyWpk0vdn\nwCQSAYnVialnH73DrZwc1PNEX5Yn+zM8Pijl6AEjLW1WFIp3j6p/GOGffD5PLBajVCphNBpRqVS/\n0H5jsRjZrGIXYwxsFZHsDNEJgsChQ48Tj4fw+dbRat851ON2LzI8/CiTkyPk89ldy+VyOV1dQ7z1\n1os4nY0Ui2UUCgXr60GamoZJp1Osr4/R2FghD/f55qmvbyabzZPL5Rgfv0Yyucrhw1/A43FTKORp\naTmCUqlkff02Wq0Djaaiq1hf34TbvUq5XKJYFDGZrLjds4higQMHPsWhQ5/GaNSwvr6AVGogEgkj\nl2sRBJH+/jN0dp4iFlvAam0hHi/xN3/zPzE5OUI6neTmzfPo9fU7BJhFUWRu7jZ9fUe279fMzA3u\n3LlEILCKUmnk9Omv4HTWYrXW72jDCQRcyGTaXeLabvfiLq8TYH19AbO5ZvseKhQqhoYepa/vEJcu\n/YRstvyOknku1xwNDRWihLq6JlpbDzAy8irZbMUoLS5O09DQur29XC5naOg0s7PjjI5eYm4uQTwe\nRBTB6ezHbu/EZGpibu4GkMBq7SCZjCKTiRiNTYRC0wSDMQwGKwcPPkw0usLExFXm5kaQyyUcOfIU\nkUiYRKJitMPhVQqFMFZrO62tw6yvL3H37vL2+5rP57hz5ypXr77CwMAwDkctTmfrLq7c1tY+XK6l\nzWpYGWazhXRaQSaT2Y7G5PP5TbarFNlslkKhsKnd+uthRN8Nv24h5w+C3xjMf8IDWiwWSSaTpFIp\n1Go1we8+z0jjYzjaavlPP8wjnbnKn1if51O/fxK1xbg95i90rIIUiUKNRP7OXK17bvdPOMe9KO3e\nLfz6XmP5fEEEwbLr90pPX2RHBewWBEHAYqnBaNRz587VPfcbjYbJ5RIMDByjqqqFsbHLe6xVRi5X\nkEqlkEikaLVaotEg6bQejcaIIOQoFqXI5Uqy2TQ+3wy9vWdQKLTcuPEWhUKElpYe2tv3o1Zr8fvd\n5HJZ0uk0TmcDS0szZLMZyuUSJpMFhULL2toCExPnKBaTnDz527hc8xSLFR3W9vZe5uZG2Nhw0dIy\nSHV1M2o1rKzMU13didXqRBDkGAw1ZDJqrl07z7PP/jULCwsYDAZCIS/pdCWMPT5+gVJJht+/yuXL\nP+H117/L1NQ12tsPc/bsN+npGUKj0bCyMktDQ9eOq+JyzeJ07qQZFEWRUMiD09m06yp6vUt70t05\nnS3YbLUoFEUuX36NfH4n+Xgg4EUQyjtaSVpbe3A42rh69RUSiTgbG8s0N+8MqZtMFrq7j/Dtb/8t\nwWCEUklJV9dxJBI9DkcHdnstweAyophEr2/A653Aam3Cbrfh8czi8Uzw8MO/S3f3GYaHn2Bs7CWW\nlu7Q0XEKmUxOfX0bi4vTzM1dJx5f4/TpbxCLpTAYalEo5Fy5cpWFhUVcrmXefPOnQJ5HHvk8PT0H\naWhoY3Z2Yte1MBotmExmlpfnt3/Tam3Mz69ta/BqNBq0Wu12sVyxWCSXy1XoMTcL+yoi3KVfuhF9\nvx7mL/s4Pwp84gzmhxGS3Qq/xuNxBEHAaDSS9UW5lm8n+/QfoM7H+Ocb/wufOgi2L35th2DzR9Hm\nsdfxftD1t85PJpNhNBo/lL6xpaUAev3ucKzbvYTVWrPnGMVikVBonUce+W2iUS8zM6O7Xt6lpVmc\nzmYEQaC//yDRaAyXa2F7ealUIpPJMDFxnZMnz+J2L5FOJ1lc9KDT1ZNMhoEkNlsvGxsu1tbGsdnq\nUCh0ZLMZ4vEAMlmO1tZDSCQSGhra8PncrKzcxmw2cebM7yGVFhkfv0ihIG4Xeo2M/BiDwUp392l6\neo4gk2kYG7vAwsIMfr+P+no7IOJ0tqFWGxEEORqNgNu9SlVVN4VCFKdzgFwux9TUImZzDceOfZpY\nLMT4+BUuXfoZ5859n0uXXkWl0iCKZRob+zl9+mk0Gh1HjpzZZu1JJqMkk3Fqa5u2r4soivj9Hhoa\ndoZj3e55jMbqXWQF2WyaWCyC07m7WCcWCyGRSDh79htotXIuXHiReDy6vXx1dX6HdNYW+voOYjA4\nePnl71FV5dgVAoaK1FswWCafl2K3H6RQiKJWV2G1NuD3z6HRSHC57jA5+QMCgUv4/ZcYG/t7pNIw\nRmMNWq1pc09SnM5mUqkYCws3KZVK2O01bGwssL4+SU/Po+h0Rhob2xkbu0Y6LSMYXOX1119mcvIK\ng4MnOHDgoW2PsqPjAMHgOrFYdNcxt7cPsLJyl1Kp8u4ZDBbc7gTx+L2Wqa3eRrlcjkql2jaiWwIG\nWyQgqVSKTCazSfghfuSyVx8kJLulifpxxSeuSvZ+/CLGa6s6VCqVYjAYKCNwdarEqxeVCA37+Yrh\nHC1T59B99Q+R7dHULZFIPtIH/oM+vO9FafdeY73T9YzFYly9OopUuo7D0UxzcwfKTTHrjY0l7Pa9\nC0U2NtbR63WYTDaOHPkUFy/+dFOKqULJViwW2dhY4qGHngQqXLEHDpzk5s3XqKqqQRBk5PN5QqEA\nMlmR/fuPMTYm4/Lll5HLD2CxaJibu0ZNTScGQyNTU1cRhDCDg08xOzuOyWQkEMiiUDhQKCoGxGy2\nMj4eJhYLcvLkNzbzrU9z7ty3aW3tRxAE/P4Jamq6EAQdhUKBcrmE09nHyMgPOXr0CwwOHiedjnHx\n4lV8vjUsljoCgQUymTH0+gbc7hCimCKTiWOzdbC0dJOFhbt84Qt/gCDc01q8du1VWloO7OBgnZ29\nRlVVww7js7w8QW1txw7e1/X1OYxGO5q3VVa73fN7hmNdrjmqqvaugHW57uJwNCOTydi//wwLC+Nc\nufISQ0OnMZls+P2r9PU9vec93rfvELdvXyQej1IqlXZEMeLxCM8++xyCoECt7kGhkJFKpWhq6mFx\n8Ryrq+cwmZw4HMMkEgUOH36aYNBPNPoTenqOYDR2Mjs7htNZz8rKdY4c+RJut5vl5csUiznK5TJV\nVWbyeeVmlTdEoyHC4TAWix6dTk80GsRqPb5NybcFhUJFU1MX09O3OXr0YfL5HH7/BpFIgEQixurq\nIj/4wbewWMxIpXIEQYpGk+exx07veR3gnhG9/73bIjsoFovbodstoW6pVLr990FVxL9fvP3efRzx\nG4P5Ph+IYrFIOp2mWCyi0WiQyeWML5Z55YaITV/mwHf+FY4TNbSlNOj+5b9HMOxNh/VRe5jvd7xS\nqUQ6nX5XSrt/CsLhCN3dDyGRyHG55njjjVEcjlba2noJh/0MDZ3Zc7v19aVt4m+NRsfhw4/z1lvP\nYzCYqampY21tCaPRhE5n2t7GZnNgt7dx5cprHDnyOBqNluvXz9HRcQBBEOjq2sfly1fo6jpOMOgm\nEJhHpztCJhMkGFyhqsqCy7UKiOh0Rmw2C8WiAlEUN0kOopRKYeTyewLPVVW1NDUNcenSD6muttPZ\neRS5XMfMzB30ehOrqwsIgpSWloMEg8uUSgdRKHQYjQJTU68jCGlKJZFCIYNUqkan0+N2rxIKvYFe\n30Z9fSdeb4yf/ez/4fOf/wMAvN5VYrEkQ0MHts9dFEVWV+9y+PBndvzmdi9z9Ohnd1zb5eUprNYG\n3O5VRLFS5VoqiXi9a3R27iZM93gWaG8f3vV7ZdkyBw8+tv1/W9s+tFo9t26dw2h0YLHY9lSmAXC5\nluju7kcQlFy79hqHDz+2/eH94Q//nmAwjNn8CHZ7F5HIGJlMDp/vKvF4iN7erxGNjiGKBvR6A1NT\nt1EoRMxmgZ6eh1Eqtdy8eZGrV7/PkSOfw2CoQqu1EI+HmZm5iF5v4MyZf04g4Gdk5Dw6nR6LxUZj\no527d69z5MhTRKOrLC66sFqNtLbunNg1NHRy584VYrEwpVJhs4fXSn19E9XVDmZnKyT/xWKBVCqB\n1+vabsd6v6gIawvbud2t/vEticKtQqKt9baMqCDs1sn9RfF+9pNIJNBqdzN0fZzwiTOYHzQkuxWe\n3KLR0+l0LHnLvDhSRCKBL52Son7hO5SOlEl3NqP/r34HyTsUPbzfMT9svFfl6hYRglKpxGg0/uJ5\n1nc5t6UlP0ZjK1qtgZqaZtLpJPPzt3j++W+hUOi2WyHuR6FQIBhcY2Dg3kfaZKqiv/8It2+f59Sp\nz7G2dpeWls77tqoopDQ3dxEIrOPzrSCTqZBIituVoJFICKm0hkuX/j8EQUSrVZFK+cnlkhSLG9y9\nu4zXu8bBg2dxu8fp6TmN2+1hfX2RhoZ2Fhau0tExTDicYWNjbbtYqbGxh4mJV6iqsmOx1CKKedLp\nHDdvvsX+/cew22tJJHp4/vn/k7Gx80CObNaHTidDIqnkAH2+CouM0egkm82ztBRAJguh09UiCAJv\nvPEaw8OPYLc3MjV1nZ6eEzuKbFZXJzEYajCZ7oW+3e55FAod8XiAtbVJotEAkUiQxcUZ9u8vkUj4\ntvfh9S4Sj8e4fPknKJUaLBYn1dX16PU6MpksDkftrvvk87mQSpU7+jEBamqaUSo1PPvs/8Hg4G7y\n9nvPxhS9vcNUVdVy/fo5rl17leHhR1lamuTq1ZuoVM3I5QYaGvpxu19Ara4mkVBgMvVhMNhYXQ1i\nsThRKGwkEl5CoZs8+uhRVCod2WyKUsmHSlVNOi1itUIul6JYDKJUVlFVVcflyz9BpbJRKkG5nCcW\nW8JkqubUqW/gci3Q1naAu3cvMDNjQqtV43A4CIeDLC3N4vevbl6bBE8++fVdhtDnW8Pn89DW1o3J\nZMPjEVhYWOHgwb3VeN4PtsKe93tz5XJ5lye6ZUTf7oU+qJDpx520AD6BXLLAdkh0q7R7rxDTVnP+\n/YLHkZScH75V5MZsiUcGpXzmqATt3YuIF3/KK+E+Tv+HP0KQvTfTjSiK7yoC/GFi6wXaazxRFEkm\nk5RKJXQ63buKP78fbNHPvf16VloyPJjN98J8crkCh6OJSMRLOp3A73dTVeXcUUG7vr5MLhenpaVv\nx/5UKi1QZnz8Ovl8gsHBU0gkEkSxQDqdQSIR0Om02Gw13L59gWBwg56eIQwGM8VikZdffpFiUYpE\noqFUyvDII3+MzdZEILBGdXUnxaIBi8VGIDBJIhGhurqV6uo6lpbukk77gQJtbYdRq7UsL8/icNST\nTsdZWLiMw9FNLOYlmy3gcq1iNlsol8s0NXUgCAIezzzB4Apu9ywnT36Zzs6jSKUydLom0ukUGo2R\nTCaE1dpIoSDHZKoikfCRTkMm40cUpbhcU5hMJiQSDb29B3fc69u336Cn5zjlsojXu8zy8jhvvfVj\nQKBUKqNWW6itbUcQyrS07OPo0SdoaOikrq6durp2vN4ljhx5kv7+Y1RX11Iui2xsLHLp0vNIJBpq\na5tQqdQ77sfs7DVstjpstp2qMJV7nyKVSlIuQzzup7q6Yccz5navEIls0N9/FEEQqK1txutdZ3Fx\njBdf/Dl+fxaj8QhOZxsu1/OIYp5jx/4NHs8CcrmBXM5NNBpEr29DFEGtLgIe1GoTWq2eu3cv4HA0\n0t19kqWlu0SjXtbX7+B0dmAwNDA3t4Ag5BCEPDablZWVURoaeunoOIJOZ6BQKOLzrWO3N2wKh0dY\nXR1nY2MJm83G4OBJenqG8fvXkUiEXSLTWq2B6embNDS0bYZaFXi9Lpqa7B9q+8X9IVqZTIZcLkcu\nl28b1S0jms/ntz3T+7d9J5TLZURRfF/H6vF4mJyc5KmndpPX/xpiTy7ZT6TB3OJl3Xpw3v4wiKJI\nKpWqaFRqtRRR8dL1Mj+/VuRAu8BXzkip0efI/OQ7ZG9c5ubzXnR//j/Q0bq7YOHt2OrB+igNZqFQ\n2DHeVvg1k8lsc79+GOTs73Q9PR4P6+sydLqdFbKiKDI9fZ2zZ79GqVRgbOwSKpUeo7ESzp6evklN\nTT1mc/Wu7aqqapmYuE4+H6e39xDZbIZCQUStVqFQVAy/SqXB7/czN3eL06efQiKREAh4iMUMdHQ8\nSiTiJpnMUlfXRTwewOudJp9X098/RCDgB7Ls33+W9fUxEokwxWKZtbUbHDr0OaRSOUqling8Sjwe\nYH19lLq6Hmpru5mensXrnaS//xgtLd0UixXPz++/S6mUZWDgCYJBD/l8ntraNiSSEplMDqlUQyJR\nEVaORNx0dBzH6ewglwujVhsolQQKhQRu9zp3716jp2eQSCRAKORhY2OFmzdfw+/3E4t5cbsXEcUi\n5bIUiUTOU0/9Po2NnVRX16DV6pmcvERv75EdYdJw2IfbvcTAwDGKxSJqdWXSUVvbhsezRG1tEwsL\ntwgE/Oj1ZlQqNfl8nomJKwwMnNgzSjAzcwObrY4DB06wvDyP2z2H3d60/byNjV2hqalzmxxfIpHg\ndDbxwgt/z9jYCjpdOyqVDY0mi883y4EDf0AymUAmKyMIWsbG/gEwUirJKZfTZDIe2trq0eutXL36\nHDabg87Ok8hkctLpIHfuvIRMZqZYlCEIEuz2OuLxCLlcgHQ6wJEjX8bnC2wW4egwmSyEQgG83iVC\noSWiUR86XQ3Hjp2ioaEN2WZBn8FgZmxshPr6lu3foJJGCAa9JBIJqqtrNt9HdpGyPwjcb0TlcjkK\nhQKZTIYgCNsh3Xw+v+2NbhnR+73QrQn3+yn6W1paYnV1lSeeeOKBntdHhD0N5icuJHs/3h5C3Kqm\nzOfzqNVqpDIFV6fLvDkqMtAq8K9/S4ZWJUF0rxD/wTPImtqZfGmDSzVn+Q+nqt5lpHce86PA1njv\nRGn3oLG8HECr3V1Z6fUuoddbUas1dHYOYrPVcOPGOWKxMB0dfUQiHg4ePLHnPovFinEUBAPXr59j\n//4T9ylMVFAul8hm4zQ29jA1dZ3e3kMsLXkxm/uIx4MUChH6+h5mYWGSQsFHLielra1h01NKIYoK\nbLZmrNZmFhauMjX1KjpdLblcga05QW1tE6+88i2Ghk4glRqYnr6D09mCKJrx++ex2xsplZIsL99k\nYOA0bW1DiGKRQ4c+w/nz36WpqQ+TqRqv10NVVSvpdJqVlTxabQGlUo5SqaG6up1gcInW1iOsrl4i\nn88Qi+WJxeJotVXkciISiUAikeDgwbM0N7dvF/Jcu/YK7e37d0yI3O4FlErTLgWX1dUpnM6dkl9Q\nCblqtRaGhx9GFEWWlsYYGfk51dVNqNUqzGbnrsIhqBTIbWy4OH36EAqFkmPHznLnzmUuXfoZhw49\nSiaTJZOJUV+/c0y/f427d93IZGaSSRUazQaJhAWVykQ4HGJ9fZT6+i6y2VUkkiJgAwpks3FMJiW5\nnAeXawSptMza2gqx2I+ADJlMFLt9H6lUHoOhiMFgwO+fRaUqI5W24XBUs7p6E6ezn4WFabLZFNls\nlERikUQiRFVVFxJJmkSizIsvXuDs2WPb2o8WSzVOZz0TEzc4cOAY8XiURCK+ySMs59q1N0mlkshk\nctRqLaFQjObmOiyW3W1WDxLvlQ/dUlO6Pwe6tc57RZ8+7iw/8An1MLd6m7a8PcWmDFYymUQqlaLT\n6Vj0Svm7V4tk8/C1R2UMdQjIhTK5S6+Qfv67aJ74MhlJNXe/9QItf/Xf09H+/h6UBykr9k7jbUlu\nJZNJRFFEp9P9wuQD74ZisUixWNzhYWazWe7ccWEytewab3b2BnZ7IxZLZbKh0ehxOltYWLjFzMwk\nVquJpqbdAsWiKLK+vkIiEWJ4+BEWFqZRqeSYTDs90ZWVeZLJEMePf5rx8RuIYpZYzIBOV8PCwjWs\nVieNjX3Mzd1hdfU2LS2HaG3txedbJpfzYzC0ks2mMZtthELraLUastkEgcAGTU3dlEol5udHKJeL\nRKMF8vk07e19tLR0EgqFyWbDLC3dQSoV6ew8TSgUxGarQSKRYDCYyWTizM3doa1tgFIph8fjJ5FI\nYrM14PPNI5OVsVqbUCi0hMPLiGIZjcZGLpckm00SDLr43Oe+SWNjO4lEAIlESX//kc17USKZjHL3\n7m0GB08jld6TWhsfv0BDQ/eOPGfFU7zE/v3HkcsVFDf5igVBYHp6BLu9Cau1GkEQsFqdNDR0EAyu\nc+HCT6ira9uTDm9lZYpyWUpzcyXHXPEeGxHFEmNjF9nYcNHa2oPVWrNju2ee+Ss8HglKpQW5PA+Y\nCYWW0etrkMk0NDUN4nT2Mzf3EjpdG/v2fZpweBWVqgZB8COTiXR0HKW393GCwUVmZ9/C5ZpFKlVj\nNFoxm3V4vTN4vbM0NAwwOPg4crkGn28DlUrD8vI1MpkY8/MjaLVGentP09FxiNXVZdxuN/H4Kl1d\nxwmHU0gkORQKGRsbbuLxODduvMXS0gyJRIhsNoUglDfVe8qEw35MJivZbIpYLE4yGaa7u/2X2oax\n5U2+PZS7le/cSlsVCoXtlpb7jef9xz4+Po4oihw7duyXdTofJn4Tkt3C/QYzn89v9zfpdDqSOSU/\neKvE6EKJzx6V8thBKVqVhGIkSOrZ/0wp6EX3z/5b5I3t/P/svWeUXOd95vmrnHPoqs4ZnSMAAmhE\nAmACKZKiJVHRlrQzlK2Vd47HcySPZz0en9kjze54PDtr2fJI1o5GWkmWRVKiCIIkQOTYQOdc3dW5\nujpWd8WuXPuh0IVuNBhABAbw+dbVdeu99733vv/3n57nypf+La25+/mDf3dwg0r9uyEcDl/3hu49\nkskk4XCYaDSKXC5HpVLdM23MW4Vk0+FYEWr1xv7LeDxOT8956utbNoR7JBIpubnlXLr0CsmklJKS\nypvON+0ld3VdpKSkkpycfLKycmlvP4dOZ0SlSm9cUqkk166dprKyCYPBgkql4/XXj2K37yQWizAz\n00F5+QFAwNDQObzeMM3NDyMWi3E4TlNSsgOrNQ+ns59UKorH46Sh4Ulycsrp7j7B6mqQUMjD8rIL\nicRCMOinrm4ber0JoVBIPB5jYOAyEKKm5jBWaw4+nw+/34Neb0YkEmGx5DI83EowGEKp1DE42E5u\nbg1Go4VweJWxsUsolVno9TYiET/B4BLBYByj0YRWm4fLNYjHM0Nj4246O8/S0LAfrVaHWCxGJBIy\nOHgFhcJEVlZOZrHzehcYG+unqWnfhujCxEQfiQQUF1dk7o9IJCQaDdPf30pT0x5EohsBKZFIjFyu\nZHl5CaFQyPS0A5MpawPrTUfHacrKGtFoNm4m07JdYi5cOEZBQQlmc05m4T1//lXOnx9EKrUQCHjQ\naHJQqfJIJOZQKCpJJmMUFDQzNHSelZUhKiqexOMZpbCwEZVKwfz8aUDGxIQTh+MoAkGUsrI6amub\n0GrjRKMjLC+PXu8xlTI2NozD0YrfP0Mk4mFqqh+5XIFEksRur8HnizA/P8P8/CxqtQGtNgtIMj8/\njEAgobv7Gt3dFxEIophMVkpLqwmF/Oza9RglJZXYbHlYLNkUFGzB7Z7AbM6hpqaJwsIteL0htFrB\nh46sfH0od83DVCqVb5sPnZmZ4dKlS8zOzqLRaGhubv6Ar+Cu4JOQ7HqsGZJEIoFKpUIqlSIQCBh2\nJSi2C/jyYRFiUfphiV47y+rxl5DvfhTZ7scQCIUsnrrM8ugMe3/5fyES3R/mndvFGv0WcF/Cr7e6\nttHReZTK/E3fdbtHUavT4dibEYmEsFrzsdlyOHfuNVpaHkUmU5BIxFldDePzrRCN+ikqqgQEaLV6\n6uv30t5+il27jqDVGhgfH0EiEWUqWGUyKVptNWNjQ4jFcbKyyhGLpYyNdeP3z7Fz56cYG+tHo1Gg\nUhnQ69OMNBZLLlevvsSBA19ELJYiFkvZt+8POHr0/0YshtLSPZSX1xMORxgfH6ahwczKyjyzs91Y\nLEXo9SaczjYaGg5TWlpBe/tFtNp5srJykEoV1NXt5cyZVxgcvIZGo2Rq6hoKhQGNxoBAIKav702c\nzna0WgPz86NotSWYzcXEYkGWlvJpb2/lZz/7HlVVezCZrJn7EItFcLunpe8xwgAAIABJREFU2L//\nOeRyRWaD6HR2YbOVEY1GEQhAKEwvihMT/ZtaSQQCAePjfVit+bekMxwfH6CkpIaqqmYcjh7OnXuV\nsrI6SkvrmJubIpUSY7ffmlfW45nhwIHPsLzs4dy539LQsBe5XMWbbx4nlcphZWUQicSI3b6DSGQJ\nrbaRZFKLXG7j2rU3WVlxotHocLkc6HQWZmcnmZ4+jdnsx25XUV5uYO/eR7Db7QiFQhQKBQZDWtbL\n5/MxNTWFw+FgZsbNyIibpaV5PJ4QJpMdrzdOIOAjmTyFRKJBJNKi02mw27OBEPG4l/l5F37/Ert2\nPYdKZSIS8ZBMKsjKspBKJWltPcOePY9mNoNisZjGxj1cuPAGWVl2dDo9ZnM+bW0jmM2mTSQRHxas\neZMCgWAT5eFa3tPtdvO3f/u3dHR0oFQqOXXqFNu2bWP79u3s2rXrttYdj8fD17/+dY4fP47ZbOa7\n3/0un//85+/2Zb1vPJAGMxKJEAgEMr2G6wtidlbd8GYSngVCv/2fpFaDaL72bxBdJ5VOpVJ0/Ov/\nwtCO3+Pbu99b7vJm3EuZn5t7RteICO43VldXmZ+PYLXqN/1vZmZkg27lekxOpgtDmpv30tt7kTNn\nXqW5eT8ymQK5XM7AQLo3c/01ZWfnEQo109p6nJaWJxgZ6aamJl1BmiZ9n6a0dDf9/e2Mj1/hyJF/\nRTwep63tNaqq9lFcXEl39wr9/ad45JF/mfndcNiNWm3D5wthuN5aGwwuk0gkEQiEqFTS62G+dEFR\nd/cFVlfdlJZuQ6k00d3dikIhZ3S0k/LybRQXVzI83ItSqWJubpy+vgtEo4uYzWUUFFQjEOjQaAoB\nEInSBAilpfsYHLx6/T66mJmRoFAk2Lbt9zh37h84e/YUW7c+umEOh4fbsVoLUSo1xONxotEQPt8y\nk5PD13lVZwEQi6X4/SuEwzEMBivhcASRSAikiMcTTE4O0dx8aNM9ikajuN3j7Nv3zPXe1nrs9nza\n288yOztJIhHfIAu2Hj7fMktL8xw8uB+pVIbD0celS6/T0XGe+XkV0egUsViCbdt+n3A4iEIhIhQS\nYrHYrhNBrJCbW8DcXD/RqBOPZwCNRsCWLWG++tWnOHz48DtWdWq1Wqqrq6mu3kjDt7q6yujoKEtL\nSzgcE4yOTtHTM04otIzf7yeVilFcXEdDw2OEwxFaW49y/vzLNDc/gVKp5cKFfvR6DdnZOjweD7/+\n9U+pq9tKMhknHo9ej2jF+NWvfkxT0040Gh2xWISTJy/y+OMH7lnk507wTuvUWsh+x44dHD16lO99\n73sUFBQgl8tpbW3l6NGjnDhx4rbG++Y3v4lcLmd+fp6Ojg6OHDlCfX09VVWbUzMfBB5IgykUCtFo\nNAiFwoy483qkEnEil04QPnsMecujyHY/imDdwzz1y9dZXFjlqZ8/f9tG717mK1KpdA9iOBzO9IwC\nGS/zXuNmD3NoaIj29n6MRj/Z2YVkZxcgEqWZdxYXZ2lo2HfL35mZcVJT0wKk2LJlK5FInEuXjrN/\n/xEEAgEzM05aWjZX4qXDYUFee+3nGAyGjHe5srKA3y/DaNSiUIBMlta6nJ52oFDIqKxsuc6eEkSh\nMLO87MFu1+B2DxMOe9i9+zl6eq6i16eP6+x8lT17PsPysg+vdwaH4yLl5buQy4V0dJzh4Ye/iMmU\n5sXNySlmbm6CaHSWxcVpNBozkYifN974IWq1mfz8OnbtepqRkVai0RSrqxPI5VlIJAoKC5uYnr6G\n1zuFxVJIbm4pLtc1FhYmSCZXWVycQy7PZWmpix/+8C/5ylf+DWKxmHA4RGfneQoKKnnttR9fD5PL\nWVqaIR6XMD09hkAAyWSCRCLK0FAbKpWB1tZXUakMmM05GAw2lpZmEAplqNU6YrE4QqEgUwgyNTWA\nXm9DqbzRd6fTGdi37yk6Oy9w+vTLt+SchbQxz8uryHit5eXVJJNhXnrpKMGgltXVKUpKnkMm05NM\nJlhZcSMW5yAUquno+DkGgxan8w2kUhNm8yrFxVYqK8soLJRw5MiR9/XsAigUiowR3bs3/dnCwgId\nHV2cOnUVh2OagYE36eo6iVAoQaFQEwoF+M1v/gapVI3Fkk0oZMHjUV2XRxtifHwMkymbvLxcjEY9\n2dlFJBIxBgbasdvzEAqFjI2tIJOJOHhw3weysb1bCAQCVFdX09LSwle+8pXbPj4YDPLSSy/R19eH\nUqmkpaWFp59+mp/+9Kd897vfvQdnfPt4IA2mVCrNKAPcHEKMu6cIvfgjBCotmhf+LSLTxtLvxGqY\nvm//NZ7f+ybVFe8v97BmWO6m8Xw7Srv1FbL3u7hgcTHCtm2HWVlZYny8h97ei+TlbUEqFaHX25DJ\nNhc+rawsEIslsVhshEIhUqkUDQ0taLVqLlx4nZycMrRaLdq3YVKqrd1Ka+sZlEpFhplnbMyFXF5I\nKOTF55tm167nuHbtLNPTl3jqqW8CadWOWMzLjh3PMTDQDiSZnGynuvphlEo1+fllnDz5W+LxOXbt\nepb8/GpWVjwMDsZYXfVy7twvUauVNDU9ids9k5Eqy83NZ3l5ARDS2XniOouSGIHAiNFYRGPj/utz\nNYZQKCMS8TM62k5pabo/02KpYnDwLPv3/xFKpYZIxE1urvG6HNlVBAIzWm0ePl+AY8d+zvPP/2u8\n3iHKy3fS3NyCXJ4m+I5Go7z11i9oaXkarfaGx+/zeVhdDbBv3zMEgwE8ngVcrjG6u8+zsDBFdXXL\n9WcoRSyWIJVKe9ZOZy81NXtIJpMb2hDSFZiwc+cTTE2NMzc3RUPD7gwTUyCwwsKCm/37N1Y///a3\nPyMYNJBKTaNS5aFSlTAwcAaTycbsrBOtVsLg4CuIxSqWloIYDGqef/4P2Lp1KwKBgOXlaZqa7r6x\nsVgsPPLIIR555BCRSIT+/n4GBwfp6OjB6w1hs9lZXc3C6w0QDMZZWvIjFsevtzblsrQ0xezsAIuL\ncYxGG0KhiFRKz+xsP93dE5SXN5OXt4Vjx8bo6prAZjPj9S7S2FiP0ahBq03zy65t8O83blc8+k6I\nCxwOB2KxmNLSG5Gn+vp6Tp8+/b5/827jgTSYNz8AG6q+pFLk+44gqdl2ywel/X//AZPKPL7wl09u\n+t/tjH+38pjvRml3P43k+utKa02myMrKwWzOobS0Dp/Pg8PRzpkzx6ms3Jmp3l2PiYkBrNb8TOtL\nOrQmoKysCZFIwrFjP2f37iO83fSNjzspLS1FLtdx9epbVFQ0sbIixGQyMDBwFoMhG59vgampHmKx\nVUZGutBqpxkdvUpJSRNyuZzi4irOnPkJtbU7UKvNrKx4GB8fJBKZJysrj7y8dHhIrzditeYxMHAO\n8GCxbKW4uIq+vg4mJ50UFKRf/KysLM6dexGRKEogECQnp4YDB/YyOurA7R7Hbi+kqGg7XV1Hqap6\niCtXzuJ09pKdXYhQqEUiEREMzqNWazEaiwgG565HEPKRSFKkUkV4vWMsL4cZGbmKQCBkz55nN8h4\nOZ2dmM35G4wlwMhIB3l5FSiVGpRKDRaLnS1b6piacnLhwmvEYhFOn/5ncnNLKC6uQ6FQ4XaPIxBI\nMJuziEYjpFJr4bk0ecT09Dj79z+LXK5iaKiLc+deJT+/jC1bmhkaaiM3t3ID+cHJk79ieNiHWCxA\nKLRSXHwYlUqL0biV0dGjxGJhXK5OFIpSioqyqa1VkJNjY+vWlnWVm0tYrZXcS8hkMhobG2lsbMzk\n1eLxOHNzc9d1O8fo7OwlEIgRCvmIxWLodHmIREKczlHi8TkikQSBwDJZWTnEYkrGxt7C7W4jFhNw\n/vwKRqOSwsIKksksVKoQqVQUgwFaWqoyLSwfVvj9/jsqYAoEApvaUjQaDX6//05P7a7hgTSYa1jb\nGa83mCJT1iavcg3efifz/+NXFPz9DzHo3r96x90wmLdDaXcvPNp3g8s1i0Cwsc9PqzVSVbWD6Wkn\nCoWIkydfpKZmJzk56dBpLBZjbGyIHTsev16VtzGno9dbMZnymJwcwmLJ3qSakUolGRnpoqbmIazW\nNM3a66//Brv9CYaGLtPffxybrYjBwTYkEh+1tY8zP+9iaWkUiBIMLtLW9msCgQBSqYSFhRUEgj6W\nltzE4wts3bqPcFjCyEgPZWV119U7xhEIEpSVHSYcnmN4+AplZQ309Fy9LiHmYnFxHJutmOlpN1pt\nWlPUaLQgl6vo77+GSCTCas0jN7eKqal+6uqa6eubpLX1JBqNEau1GofjNBKJEolEhc83i1hsJpWS\noNWqyMqqpbV1gnBYwNGjv+LZZ7++wVhGo2EmJgbZuXPjJi8U8jE3N82BA7+36f5NTPRSX7+LyspG\nvN5lnM4+zpx5Gbu9gOXleUpL6zN5whu0bAmGh7vQarMQCsXE4zFKS2vIySmkr6+NY8d+gs+3wrPP\n/lFmHK93iddeO04kEkMuL0UqDWE21+D1TrO66mdxsQ2RqAydzkBLSy1Hjuymt/cMNltBZuxIJIhO\nl8qkIO4nxGIxOTk55OTkUFNTw1NPPfW2302lUgSDwU3nOTs7y9zcHB6Ph5WVFQKBMH7/IisrUzQ3\n11NTU4rJtFnl534glUq9Z8/2Tvsw1Wr1BjUXSIs2fJjo9h5Ig/l+JL6S8TjnP/cdxvd9jj/6vTtP\nQN+JwVxjIlqj7Hs7wd77jfVNzsPD8+h0NZu+MzU1RE5OGdu27WduboLu7otMTzvZsqWRhYVp1GoD\nNls26wkI1jA62ktd3UMoFFquXTvFtm0HNohOj487kckkmc+2bKnn/Plu+vv/Ea3WSGlpM0ZjLT7f\nSSorH6K8fB8ul5OzZ3/Ejh2fJT+/koWFSQYGXsdqraS39yIDA+fJzy8lP7+I0tKd19thrtHXd4XV\nVTcmUw7V1fvp7r5Cbu4WFhaGmJjoQKNRc/LkT8nOLkYsNqDX67FaS1lammJuzoHVmoteb6GiopH+\n/naCQR8iEczMDONyDeB2e5DJColE5pmbm8LvH8Lvn0Wl0uH3LxGNhtBqbSwva5FKZdTWHqG9/Z8I\nhxNcuPA79ux5MhPyHhq6itlcsEkkenDwKrm55Zuo7rzeJVZWPBkydZ3OQFPTbkKhRtrbz9LZeRmj\n0Uw4nItcrsz08aVSKdxuJ9u3P4FUKiWZTJFMJpBKFTQ07OLs2UWEwiSnT79Ibm4J+flb+MEP/iNu\ntw+FIh+FQovZXInH48TrHWF6+gLJpIbi4gKeeWYP9fW1JBIx/P6N2ql+v4fGxg/GoNwN2Gw2bLbN\ntIIfBtzORjsYDN6RcSsvLycejzMyMpIJy3Z1dVFTs3kd+aDw0c0w3yW8V4N54U/+GwurIj7/o2/c\nsaf2fo9PJpMEg0H8fj9yufw9G8v7zS7k8XgIBKQZ+a71mJkZIS8vLViclZXPnj3PkEhEOHfudzid\n3RQVVXErYxmNhpmdnaKoqIKcnAKamg7S2XmB8fF+IO1dDg93smXLDW7VtrZLGI3ZFBS0sLIyj8VS\nx/h4L2q1iMLCbdcLMwZpajrC7OwCfX2XcTovUli4g2hUTnPzZ8nLK2Z6upuZmXEmJ3tIpRLodAr6\n+08hEqkpKtqKVCqjoqKBqakJ1Opchoev0d19FLncxspKlNLSaqqrt1JWVoXRmEMqpWRo6AJe7yKL\ni5MkEh7a2l5hcrKXqqo9hMNh7PZibDYzZrOGurqHKSh4GIFAhdHYjFZbi0plRaMpYHl5kZGRi/j9\nbkQiJWq1mampRX7xi78G0jnD6elRqqo29sb5fB7m56cpK6vbNNdpQ7oFqXRjFEWpVCGRpDh48DMk\nkxJOnnyRvr4rRKNRAMbGetFqbRgMpuu5TBFSqRS5XEY4HCCZTPD0039Ac/NjhMNJfvjDv+Lq1R4S\nCQkSyRbi8Xk8nmUcjldwu/tIpZRUVJTxJ3/yZZqa0mxF09MjGAzZG577ZHIJq/XDbzA/iDqC+4lk\nMnlHlb4qlYpPf/rT/MVf/AWhUIjz58/zu9/9ji9/+ct38SzvDB8O1+QDxHsxJo5fn8bz899Q9+v/\nF6Phzjlgb9eA3Sml3f0ymGvjjI+7kUo3h7U9njmi0Tg2W951Gq4wyWSKhx56hKmpYX796/+OzZZD\nMrll0/WNjvZhseShUKiIRqOYzTZ27jzClStvEgoFkMu1yGRSsrLSnoffv4JIlEtzcyODg2fIz2/i\nwoUTaDRQXb0VqVR53QBGKSvbQSgU5MSJHxGLRYhG1ZSU1LK4OEBubilNTc/R338Oh6OV9vZjqNUq\n9ux5npkZF8PD3ZSW1lxnEZqhs/MVLJZSDAYVer0Zvb6AmZkJ9HozYrGEwsIy5uYmGB3tZWbGQVVV\nC1VVu2hqepz+/nb6+vqxWKpJJpcRCMQUFT2CUChGr89mZOQUXq8bna4IhUKMUChBrc7H4xmhr+8k\nICaRcCORmDh58gQ+3yISiRSVysTZsy8ikUiRSKRIpQomJgaw2YoJhwNIpbLMfKeVTBZoadm56f6l\n/7dMU9NBJBIpJSVVDAy0c+rUP1FYWMXYWD/btt2aR7S//zIlJY0olQqUSgXJZBi3O4xMZkKt3o5E\nEsPrDeL1XkGhKEQut2C1jvGtb/2v6PU38q5zc2PY7Td0ZmOxCApF+EPX/P9xwXs18ndrffm7v/s7\nvva1r2G1WjGbzfzgBz+gsvLe5qZvBw+kwbydkOxsm4Ohb/w7BN/5C5r2l9y18W9HhzMYDJJKpT5U\n4de3QyQSYXR0GZNpc4/lxEQ/OTklRKNRotEIUqkUhSJd1LO6GqCl5QkCgVXOnfsNW7ceyrD2QDqU\n29j48Ibf0+uN7N37FJcvH2do6FU+9amvrxtrAqk0l2BwGZ9vGo2mlKwsKfPzbXi9EeTyaVyuDmpr\nHwcEjI5eQqGQoNdXkkyG6ez8HXZ7PjU1j5NIJLDZcunrG0YiUaHV5jAycgGxWEtvbx9nz/4auVxI\nTk4ZLS1fwudbori4guXlEUIhN2KxgatX30Kv1+H1zqBWyykqamJxcYxoNI5Ol8Xy8iLxeAyTKR+h\nMEE4HCQSWSGVShNia7U2UikR8XgQs1mHTleEy9VKXd1n6e19A5ernby8bUxPt5JKxRAIdAwPj7Fv\n30GOHPkqqVTyOjtLOp8Zj4uQy1W0t5+6Tv9nwmTKxeUapri4HolEzM2e/sBAK8XFtRmSda1Wz0MP\nPYzHs8ipU79hcXGakhIXOp1hw3Pqdo8RCqU9bUinFH7yk//GzMwESmUTOl0ufv8VRKIwOl09UqmM\nxkYtWVktyOVKIpHI9YKiBMvLCxv6Qn2+JUpLTR8Jz+3j7mHeDekwg8HAyy+/fJfO6O7jw7363ge8\nk/Fa6Jug9cgLBJ//Op//00fuy5hrWK/DqVAo7kh66356mDMzMyQShk2hmbSI8Sjbtj1GPB5DqVRt\n8CKnphw0NT2M2WxjYKCDs2d/S13dLnJySnC5nIjFyox81PrrUShU5OYW4HK56Ou7jEwmRypVMD8f\nw2i00Nt7ArncTCi0ilweYffuLxIIJDh9+qdkZeUTi6Xo7T2Jw9FKVdWTWK1ZOBynUKlKCIXg6NF/\nJBqdRygUYDQWEgxGcDrHAM91rcUoarUdo7GA0tLt5OQU4fd76e29gkIhJRj0MD/fhkSixO/Xsm3b\nY6hUacaZkZE+OjtfZWZmEqOxkOLiOkwmC4GAH4eji7GxV/B4ouTlNRAIrOD3R1Gp5MzPOxEIhCST\nQnw+F0KhFqXSgtFoxWB4hu7uFwEB8/NuOjou89RTX0cmSzPJRKNhlpdnePjhZzIsPOHwKgsLbgYG\nrjEw0IZQKCSRWKWoqDbDebywMI3f72fbts27fbVai0olp7n5S7jd44yM/BN5ecUUFlaiVKblrSor\nd2ToI3/+8/+CwzGHTFaATFZKLDaFz9eHXL4dkSjMl770CPH4LFqtHblcnikocrudyOW6DKVlmtFo\ngays7Lv4FH+C9bgdI3+/RSU+CHxiMN/GmIyf6aH7s98i8ORn+fz/8wf3Zcw1rIVfxWLxXaG0u18G\nM5VKcfFiHxMTIQyGIez2YnJzS5FKZTid3SgUOoxG8ybvxe1OizyvGcTKykZMJhvt7SdZXEzrHRYW\n3jrxn1bP6OOJJ54nGPTT2nqaSCSKXn8Qr3cOv9+FQJCFXi8nFpNhtZYSCnVSXFyB0VjLW2/9Eper\njcLCHfT2vgF40WhUSKUChMIgpaUaDAYbEkkcvT7N6pOf34xIJGRuzovD4WZ6epGFhRnOnPkHRCIV\nSqUardaIxxNCpdJSXb0Xr9eNVGrF4egjP78MlUoNJNHrK5iaagOEmM0m5uYGCYe9hMNBcnPL6etr\nZ3FxCaFQgsVix+cbwmg0MTZ2DbFYgNP5M+z2HRiNRYyNXWb37hdYXV2ms/MV5HI9Y2Oj/Nf/+id8\n+9t/B0Bn52lMprwNlHVyuYKsrFwGBi7x2c/+EclkktHRfsbGfonNlk9RUQ29vZfYsqXplhEOh+Ma\nZnM+hYVlFBaW4fUuMzY2yLlzR/H5FhAKFUgkQkKhAD09F7hyZZB4XEAyaSaZXGB5eZhUKo/S0my+\n+tXnyMrK4s0326mq2pUpKBKJRCwuTpGXV54pKIrFogiFPtTqckKhUOZ7a+QKHzZv7qPoYb7Xc45G\no+9JAuyjjgfSYL5TSDaVSnHm3/8U//d/AC98i8//H7fP5vNecCsDtp7STqVSfeQewOXlZeTyPB55\npBm3e4qZmVF6ey9jMFjxeGZpbDxwy2saH+8nP38jjZrVaufAgU9z7txR+vpaaWjYe8sxR0Y60Wrt\nGI1WjEYrCoWC3/72BPPzffh8TkQiJXl5OSwudlNd/RhLSy4mJ69gMpVy+fLPrhN3b0GtXiI/38ve\nvTvIz8+nuLiYvLy897xY+Hw+XC4XV65cpbt7gpmZBaRSOX6/n97eLpLJKKnUILGYkL6+KyiVCoxG\nMxqNkuLiLYyN9bC4OEZ19V6Ki7eh1Vqvt2v8jLGxWcrKdiIWK4jHw4RCPoRCNQsLU4CUZDJEIiFg\ncXGWN974W/T6UjQaC2KxmkAgRX//ED/5yX9k164j+P0B9u17eNM19PScxWzOx25P54BNpiwSiTjj\n48O8/vr/RzDoo7y8cdNxgcAKU1Oj7Nv3bOYznc5AQ8NOSksrOXbsF+TlVTM01M3CwgTHjh1jZUVM\nMilGo5ERj88Ri8Wpr2/ihRe+iMFgwOUaQaUyb2ARCgYDTE6OoNFkMTExjFgsBRIUFxuRyWSIRKKM\n9uuaruMagfh6I/oJ3jtuZ5P9IEh7wQNqMGFjb+LNBtPVNkLV//x7Go/U39Ox1495M6Xd3Xy575eH\nOTw8jVxuQyKRkp9fgtWaSygUYHi4A6fTgclkRaVSbpBzCgZ9LC8vsnXrZr5SmUyBVqujpmY3588f\nY8uWOkpL60lPTYpoNMzo6AC7d99QeJ+ZmaWi4lEWF104nWeQy0sIBk8jFqdobz/GxEQrOp2FkZE+\nFAohe/a0sHt3MQ8/vI2cnJz3dd1SqRSz2YzZbKa+Pv3M+Hw+Ojo6GB8fZ3JyluHhMUIhOdPTs6hU\nWkSitBSaRpNNUVEtLS3P097+Gi7XMD5fEIlERiQSxWgsQSaz4fW6MZkKKS9/iPHxM0ilNgQCIYnE\nMgqFhOzs7eh02XR3/5x4XIpGk0U4vIRSmcfKyiBHj/6Wnp4rPPHEFxgYuIzRaMdiyUEqlTMx0c/K\nyjJ7935qw3UpFEqKikqYnOylrm4vDkcPAwPXKCjYQkFBFVKplJ6eSxQW1qJUbu6B7Oq6QHX1Tqqq\nmonH4/zn//ynRCJaRKIken0hYnEQgcCIThfiW9/6BiqV6vo9HMFmK2JlZZHJyWHm5ydYXp5lZWUF\nv3+WYFBILBZhdXWZ+vrmDfqO8O4aj2tG9H57oR/VkOV7mSO/3/+B9MHebzywBnMNAoEgsyOF9K70\ni0f/6r6N+XaUdnd7vHv9sgYCASYng+h0ORnpH4lEgslkZnQ0xSOPfAa5XMXVq6fQ6fRUV+9AqzUy\nMtKF3V5yS88zGPSxuOjm0KHnCYdDtLWdxeUao7p6OyqVnsHBNqzWIrTadH/hysoii4ug1+sZH38R\nna4AuVyCy+XEYilnbs6BSpUWgG5oUPLCC1+gpqbmnrzoWq2Wffv2sW9fmi83mUzi8/lwOBx0dTno\n7HQwM7PIwMA4fX3nEAiEpFICwuEVJia6M6FdkUhAIOBFKMxhfLwTgUBGODyDWr2AyVRIMinG4ThD\nKJRAIJBiNlegVCqw2aoZGzt7XW2jlIWFQWZmZgmHVxEKZYyNDdDVdZZUKsny8iIHDnzmlvegre0U\nBQXVVFU1UF3dwMKCm9HRQYaHf4lYLCQSSbBt26ObjpuY6CccjlFR0QTAT3/6fzIw4EYgyEYqXSEW\nW0ShKKaiQkZLywsZY5nWOnXi8/kZG2vDbi+mqWk/4+M9KJUmKirqM/O5uHiF/PzNSjhrhnB9KmON\nXGFNszUajZJKpTLe53ojei/xcfVyP/EwHxDc7x7FtTGTyWRG0PlWlHYfNYyOTiEQWK8XYsRQKJSI\nRCJCoQDz824OHdqNTKagqKgch6OH8+dfxW7PZXp6jAMHnrvlbzoc7eTkbEEqlSGVyti//ymczgEu\nXz6OUqnG613msce+BKQXRKdzHIWiiI6ONxgb6yY7u5xkMszhw3/M4uIUw8MerFYZTz1Vw/PPP3ff\nuDljsViGkWlN9gggFArR09ODy+VibGwcl2uGWCyPSCSflZUg0WiSVEqGSBQjEkmiVObj9S6iVFqI\nRhfw+03XDa2GkZFzaDTpCluPZwSPx49IpMTrHSUel2A0FhAOB/jVr/4Hf/zHf87u3Y8xNTXC5csn\nyMkpo6fnPCMjbeTmlpGXVw5Af/8VQJQxUgAWix2LxY7HM8crr/wMnS7dsmKx5GKz5WMyZRMK+RgY\n6GD79iMIhQLeeutFTp1qJZnMAbxEowFstmq+/vVnmJ/vJj8/3SYUun9kAAAgAElEQVTi9Xq4dOko\n8/OzNDbuIz+/InOPrl17gx07bvSSBgIrZGe/97TF+lzoGtbkqdb0HcPhcOZ7a0b0QQ7l3k7O1efz\nfWIwP854u5DsvUYqlSIejxOLxZDL5e9IaXe3cK+vMRQK0d09g1Zbh0AgQC5XZBam4eEO7PaSDImB\nSCSmsrKRwsJyjh//J1yuSRYWplCrN/bRhcMhZmYmNxhTgUBIaWk1dnsBL7/8IyKRMN3d5zIL6/R0\nkIWFk7S3v0xFxWMYDBZkMgXDw22Mj5+ipaWMP/zDz1BWVsb9wHrNVaVSualgRqlU8tBDD93yuGg0\nysrKCrOzs8zOznLt2jB2ew1isYR4PM7x47/BZstBo9GSSpUxMNCOSpXH5OQMS0t+YjEvgUCKSCSE\nTpdNKOQHkkSjYr7//e9x8OA1zOZc9u9/CovFRjKZYnZ2mqmpUYaG2onFoiQS8NhjX9y0sUgmk/T1\nXWH79oepqmpmYWGO2dkJ+vqu4fcvMTMzgc1WhNPZxuuvd/Dyy78hkShAKpURiQxQU3OIb37zBVKp\nVTweJXq9if7+diYmuojHIxw8+FkKC2+waS0uuhCJ5Gi1N56R1dUl8vPNd1RIsxaiXbsvNyj+0kZ0\njaf2VrnQ9zPmR63o53bO91Y8sB9HPLAGcw3302CuUdoBiESi+yYaey+vMRaL0dnZSyplRavVEgqF\nMv+LRsO4XCPs3fvspuNkMgUymZTDhz/LxMQwExOD1Na2ZPKbQ0Pt2Gwlt8yNBQJLaLUGDh36LJOT\no/T2tnLlymVWV8UEAn4MhiqEQhmjo1dZXU2h1y/zjW8c4Pd//8v3xatMpVIZjyXda6q4rYVSKBQi\nl8szlGnJZFq9ZXQ0hslkJZlMsmfPQYJBD42NexCJhKjVUoxGA+Xln2dubpZLl96irKyBkyfPMTDQ\njlSqJxBYQSCQ4vGs8NJLv2Tv3n00Ne25PqaA7Ow8srPzGBho4+rVC5hMFi5efIXc3FLy8ysy96Kv\n7xICgSwTbrVYsrBY0kQVV6++hVJpZcuWBrq6TnPixDkEgnzk8jxSqWFqa3fx53/+HWQyGa2tx9Dp\nsjh9+iVkMjEtLZ/i/PnfbJIFc7nSOc3185tKLWEy5d/V53q9F7rmua7PhX5SUPT2uFOlko8KPjGY\n98FgJpNJVldXiUajKJVp7s1wOHxPx7zXWFNJWV5e5tSpTuTyXEQiMWr1DcL14eFOrNaCDUTgaxgf\n70eh0FFaWkVpaRVjYw5aW09hNlsoKanF5Rq9paEF6Ou7QmlpM0qlmvLyGgSCFNPTcVZXZQwPX6C8\nfC/T05dIpYTU1ib5znf+lIKCglv+1t3G2r1OJpO39CrfD4RCISUlhTid7YjF6Z7D0tIKTpz4DbFY\nGKFQQWFhOR0dFygo2IJWq0WlUiMQhHnhha/S1lbBzMw0ExPZ9PRcQyy2E4kscPlyFwsL32bfvifJ\nySnGZsvH6ezF6/Xy+OOfw2SysrQ0z8TECKdPv4TBYCKRiBEMxti37+lMX+UaBgfb8fuD7N37JOfP\n/5ajR18nEBABGmSyKWpqqvgX/+LPkMlkRKNhxsYGUak0VFVto7i4jqkpB1qtddNGcn5+iubmG33Q\nwaAXq1WGXC5ndXX1juf3nSAQCO5aQdHH2cP0+XwPBNvSA2swM3Je99Bgvh2lXTwev69h4JsLm+4E\nN1/T3NwKubkPEQ5HcDr7WFx0Y7PlkpdXzsTEAHv2PL3pN5LJJE5nD3V1ezKfFRWVk5tbxNBQFy+9\n9N/R6Sy39Aadzm5ARkFBGYlEknA4gMsVID9/LydO/C27dj3P+PhlkslFmprU/OVffue+ePI3e5Vr\nG6O7Bb1ej9ksJxDwoVZrUSiUZGcXMjExjNmczcKCi+npSf75n3+EwWAiGAzS19fByMggsViC6elx\nmpt30NCwhZMnX8fnK2Jqqp++vnH8/p/R1LSXmZlJSkqq2L49rQEqENzwHmOx7Vy8+CbDw4NYrVlc\nvXoMvd6KVmtCrdYxMzPGxISTrVsP8stf/jWnTl1haWkVoVBOYaGAp5/+EgqFBq1WTzQa5s03f0I4\nvMrjj38lU7S1Vh27Hh7PHCDCaLyxEQsGl6iq+mC4Y++koOjjjEAgQF5e3rt/8SOOB9ZgruFeGcx3\norS733nTuzXezdfk8/kYGQmQn9+IUCikoqKBpaUFFhZcnDz5a+LxJC6Xk+Li2owUFKQrKGUyNVlZ\nG9s4JBIJRUXlOJ092O3FnDr1IllZORQVVWMy2QmHQzgcXWzd+jjJZILV1VWGhgZIJKxcvPgLbLZy\nurpexWTy8Y1vHOTZZ5+542t+L1jvVapUqnu2OFZWFnHu3AhqtZZYLIZAIOL48d9RV9dMVlYOLS0H\nmZ2d4NChtGd+7twJsrKyyM0tpK3tMm73BLm5BeTn55FKpcjO3kpXVycTE8ssLLzIl7/8h5SXNzI+\nPkB390Xy8tKKIkqlmq6u8ySTSb7whW8ilcpZWppncdHN7OwUExNvMD4+RUlJBX/zN/+KsbEg8bgG\nhULI7t07+NKXvsnVq0eprW1hcdFFe/tbBIMhDh/+QsZYRqNRlpZmqa/fv+Ga3W4nVuvN0QEPZnOa\nZu/D4LW914IiIGNoPwqh3NvNYX7iYX6Mca88zPdCafdBVObeCW7uE5XL5aRSKdraHKhUhRt220ql\nCpstB7PZTn39XlwuJydO/IKcnGLKyhqRSuU4HJ2beGHXsMZXWlv7EJHIKk5nP+3t5xAIEng88+j1\nOQiFKSDJ/PwUTucyPT2n8XrHWFwcob5eyX/4D39KTk7OPV9M17ztSCRyT7zKm2G1WpHLB3A6hxge\n7sVgMFBV1UBxcQWFhenK1vn5GdzuCez2Aqqq6rl69QzFxZXs2nWAkydfJS+vmMbG3Rw79msKC6Xk\n59u5dOkMbrePf/zHv8NgUPC5z/1LSkurmZ2dpK+vlbk5N0VF1TQ370UsFiMWi8nKykan09PRcYas\nrGLKy5v4/vf/ivl5ESpVHnr9HIcPf56nn/4iMzMjyOUGFhfHGRsbpLCwGhjAZrvREuJ2j6DT2TZJ\njc3NTVBbuz/zdyjkx2AQZtpQPqy4VUHRWhVuMpm86wVF9wK38/58ksN8wHA3Ftf3Smn3UfIw1wqV\nbu4TdTicLC0psds3h8a6u89TXFxLbm4hubmFBAI+RkZ6OX36RWKxMDqdDavVvuk4j2eOhYU5Dh7c\nD6QLg6qqmqmqaqKv7xpTU7PYbGra2s4QDgcZH59jZUWN2z1IdraBffssfPvbf5LZtKzJDYnF4g2L\n0t1AIpHI5M/upVe5HiKRCLNZQXt7B9u27cFkysLlmsDh6MoYzJKSKoaH+7DbCzCZLBgMZkZG+qio\nqKemZhvd3Zc4cCCPAwee4PLltzhy5HOUlTXicHQyNOSgv7+H73//eyiVEmprt9HYuJ/t2x8lFosw\nOemgp+ciqVQSv38Zj2eZUMjH0FA/y8txwEBxcSGFhWpstn185jNfA9JyYdFonGQyzu7dTzM62oHd\nXrohBzoz4yQ7e2P1ste7SDyeyBQUQToc29CwUdfzo4A1Q/hxLSj6pA/zAcHag3wnBvP9Utrdr3DS\n+zGYqVSKUCiUKVSSSqWZc52amuL06QEKClo2HTc1NcTqanhD755araWhYRcFBSW89NKPSSYFXL16\nnLKyBvR6S+Z7PT0XKStrQipdk1BLZQorJicHOXz4M2RnF5BKpRgc7GZuzsng4OuUlur48pd387nP\nbeznXGvhWcsrxePxDYuRWCy+7QVpvVcpk8k2zMv9QGNjAy5XAIMhPW85OQUMDHQyPz+D1ZpNXl4h\nDkd35u/KynrOn3+T4uIt2O05TE/b6eu7RmPjLiorm7h69Sz79z+B2WzCYsni2We/yJkzJ+jtbWdg\nwEFPTxcymRiZTJyRBgsG/Xi9fgQCNYmEnHhcTE5OHjt37kSr1ROLxXjssS8CcO3acSYmRmlpeYqq\nqq1AipmZcXbtuhEuTxPCL9DcnBasDodX8Xo99PVdIh4XMjjYhVQqQ6FQk0zOYbFU37f5vpu4+X2/\nmwVF9+N83wmfhGQ/5rgdia+3w/ultPuw7xij0SjBYPCW2pvBYJDz5/tYWIjgdP4zarWGrKwCcnPL\nEAiEDAy08dBDjyIQbPbkBgfbeOihQ5SX1+F09nPp0ptotRoKC6uva2MKKSlZ679LG8tUKnWd57SA\n7Ox0LmtuboqTJ8/T23uZggIh3/ve/3ZLVXaBQIBEItmwo18Lh60Z0WQyucEDFYvFb3t/Pgiv8mYo\nFApKSrKYnFzAaEx7XkVFW3A6+7BasxEKhRQXVzE83I3Vmo1WayArK4/BwQ7q6nZSW9vE6dOvsrAw\nS2FhKT6flytXTrFjx2FASE9PK5/61DM899znGRjopLe3h9nZOZaXVwgEVhGJoiSTGhQKOwUFBSgU\nESyWArKziygvb2JsrIP8/B0kkwmuXHmNgYF2mpoepaZmGwBTU8MolYYNPZXT0yOIxRr6+9tYWpoi\nEgmhVmuYmhqgsLCGSGSFQCBGMLiCzZZEo9mROfbDkMO8W/gwMxS9G3w+3ych2QcF78dg3iml3Z16\nte9nrHfDek9ZrVZv8pRDoRBnznSiVFayZ4+FRCLB3NwMs7MTnDnzEtPTIxQW1m0iIQCYnBwiEAiy\nffsjGfKC8vJaJidHGRjooKvrAg89dJiFhWmMRvs6b9bB8vIK+/cfyvz94x//PQsLs+zfn8N3v/vv\n33Mo6O2KM9YWo0gkkrmn643oGnvRB+VV3oyiojxGRjqAtMEsLCxleLgHr9eDTmekqKgUp7OPpaU5\nTKYsqqrqOXXqKIWFlWi1eqqrt9PRcZH9+5+krq6ZixdPcvHim2zf/jBms5mrV8+jVquorm5EJpPh\nds8wOTlNTk4eCoUapVJONBrB5/MSDss5dOgzZGVlMzLSQSIhJhxe4fTpy2i1Zuz2Qpqbd2XOfXp6\niLy8LQBEoxFGRwc5d+6fMZmyyc3NpqFhLwZDFoHACqHQKnv2PJUxIAsLk9TUxO77fN8tvJ/3/YNk\nKEqlUu85hbG6unrf+so/SHxiMLk9g7nWf3inlHb3M4/5bmOlUikikQirq6tv6ykvLS1x4cIAqVRu\nJowqEonIzs7DZsshFgsgEsmRyeScPPlLsrOLKC2tQ6+3EAz66Ou7wrZtaWO5BpFITFFRObOzI7S0\nPI1araW7u5VgcBmtVo9QKMTp7KO4uI6OjuMsLy9y8uQxYjEpX/vaPv74j1+445zkWrjr5rzSGtNL\nOBzOLHQSieRD0R5gMBiwWpX4/StoNHpEIjG5uaWMjPTR3Lznet9mFUNDXeza9QgKhYqiogoGBq7x\n0EOHyMsrYG5umu7uK9TWbqemZivt7Rfp6blMbm4hOp2WgYF+WluvUFBQzr59z5KTU3CdgShCIhGn\no+McNlsF27cfQigU4vG4aWs7hVKpR6FQs2PHEQYHr5CXV00qlSSZFBAKBVleXqKqKouursvMzAyh\n0egwm3N46qn/ZUN40uUaxmot2HB/k8lFsrI2C5M/aHi/DEW3+67croG/X1STHyQeWIN5uyHZ9UZF\nJpPdMaXdh6VSdq2oRyAQvK2nnEqluHath5WVOHJ5AJ9PglqdDtUmk0muXj1ONJrg8OFnicfjhEIB\nXK4JLl9+E7lchsczT0XFjoze5XqMjHQTDEbZt+9RhEIhlZWNRKNRFhfdXLp0jPz8Jmy2AkQiId3d\nPdjtlXzpS818+tNP3pP5WMsriUQiIpEIAHK5HIFAQCKRyFDdrS1E68O499PrrKgo5OxZBxqNHkgT\nGZw8+TtCoSBKpYrCwrSXubAwi8Vio7y8irfecuJ2T2G351FT08SJE6+g042gVutQKFRcu3aBvr4e\ntm8/xDPP7EAoFDI01EVX1xkmJ82YTHaUSi3d3ReRSIxUVBQxMNCKx+PG4ehCo8njwIFnMRoteL2L\neL0empvTxOzJZAqH4xrhcIxz514iJ6eQPXuexu0eRSbTbCJ4mJ0dp6rqhmcaiayiUsU+0oUl9yqi\n9EEzFH2cwuLvhgfWYK7Huxmv9Ubl5p7KezXm3cStxlrf/nJzUc+tjn/kkX0Eg0GWlpaYmpplZmaE\nWEzFyEg/UqmGHTsOIRKJiMfjqFQaamqaqKys5403fonXG2JioodYLEhhYSU6XboJfWnJzeBgJy0t\nT17fnQoQCNL9mJOTfRQV1dLcvI9g0M9PfvI9FAoJf/ZnT7Ft27Z7Ol9roWmhUIhard60c17vha7v\nsbu5Ivdet5io1UOEwyHkciVyuQK7vYCRkR7q6nYgEokoKanB4ejEYnkMkUhMdXUTvb3X0GqN+Hxe\ndDoTr776T1RW1lNcXMmXv/wt+vo68XimKCoqQ6lU09y8m2g0gts9xdzcDBcvHicel1JcbGJqyoFK\npUOh0JGbW8mhQ5/NRBBGRjooKKhBoVAQDPpwOFq5ePFVmpoepqFhHzKZIi2l5xqhpGQriUQiM1+B\nwAqRSBSL5UYltc+3QHW1+SPPnnO/cDcKim5nbh+U+/CJweTtjdfNlHZ3O3f1QRnM99r+cvNvqNVq\n1Go1BQUFRKNRJicnUSisxOMqlpfd6PVW0uoZ6RBRW9tJNBojjz76eYJBH+Pjw1y8+AZSqRi93sL4\n+CBNTY+g1RpZP60dHadJJESUlFRz+fLrdHWdRqUK8J/+019hNpvf/iTvEGtRhGg0ilwuf9tw+9pi\nJBaLkclkmcXo5mKi9R7o3WxpgbSnUFNTxJUrU8jlaXacLVuqOX36KBUVDUilcoqKShkbG8x4lVZr\nNq2tF3j55Z9gNJrJzS3i0KFPMzs7QWFhOVKpnB079tHX18nZs7+jvn4XdnuaNN1uz2V8fJDa2v00\nNu7JtIREo1FOn/41dXWHMsYyrVDjYtu2atra3mR+3oVSqaeqaie7dz+VuQavd4lwOEx2drofc80L\nmpwcxGzOu/5ZCqFQQCKxSFZWyV2bvwcN76egaK3o7t3wYYiU3S88sAbznUKyb0dpd6/Gv19Yq/Jc\ny7+uZ9+5XUilUkpLSyktLSUYDDI97WZoqB+vV4hAoGVsrAexWMmuXY8iEonQag3U1W2ntnYrk5NO\nTp36DRKJmp6ec4yOdqBUqhCLpQwNtRGPS7BYLBw9+mPE4gj792/h61//6j3NkcTjcVZXV9/Wq3wn\nrC1G6+dzbTcfj8czLS3rw73vp6XlZmRnZyOVjhCNRpBKZSiVarKycnE4eqmp2YpQKKS8vJb+/nZW\nVlYYHe1HLpcQDovYteswen1685FIxLh69TQ7dz6CUCikuroBo9FKb+8VJiaGKCmpobf3GgZDIQ0N\nG1uJhoauotfnY7evGbgkV6++RiDgp7X1TfLzqzhwYDddXafIzt6Yf3S5HGRnb9RCTaVSLCxMUlnZ\ncn0jkmR1NYRCEUGlUmU80Y9ivuzD5oW9W0ERsKGgaH0udP11PCgFP/AAG0y4tcTXO1Ha3Yux7yd8\nPt9dyb/eDJVKxZYtpZSVFeNyubh0qQODQYzZXEIkEkKpXCs3T+H1LtPf38rWrQepqmq+Xm25gt/v\npbv7HEKhnp079+DxjGE0RnjkkV3U19e/4/h3grXWoLSGp+I999C+G9Z7oWvjrC/KWO+Fvl9iBbFY\nTFVVPp2ds2RlpVtutmyp49y51ygvr0EslhKNhunu7mRlZYndux8jKyuXkZFBOjsvsndvOhReV7ed\ny5fP0NZ2mubm/QiFQuz2bKzWT9Hb28YvfvEPWK2FFBTUEwisoFan86Yezxwu1yTbtj3G5OQgCwtT\nzM5OMD7u5MCBz1FWVo1EIiEcDrG4OEdj48EN5z89PbKBVB3A51siFkuSnZ2Xmbfl5RWqqqwZlhwg\nE1oEMvP4Ce4c6wuKYrEYSqVyw7O7lg9dC+MeP36c3NzcB6KlBEDwLov2x9rXXgtBhMPhTFP7O1Ha\n3U0Eg0FEIhFyufyejQE3NgDxeByNRnPXDMLbYa0oRigUMjs7x/Cwm+XlBKmUFp/Py+BgF5WVD1Fa\neqP5PBj0cfXqcRIJMRUVFSgUfioqLBQW5t/T+VnzKtfuw/32WtaHw9bCuWsL0fow7js9h5FIhKNH\nz6HXlyEWp+9tW9sFAgEfq6shxGIRdnsR09PDHDz4bMaAnznzBlarlcrKtERXIhHn0qWTSKUStm5N\nG81g0M+lSyfIyqpAqzUwOzvJ8vICsVgEsVjC6GgfBkMuRqMF7f/P3nmHx1Xf6f5zzvQZjXq1LMuy\nZMu4yZaxMbbBGDCYkIRAIFmWzQ1JlmxgSUi73GwesptNsmm72bRNKLtAAiHJJiSQ0EIAg21wxb3I\ncpclW10zo+lz5pzf/ePojGZUR7aajd7n8YOYdvrv2983M5/8/FJ8vhYkycbll69N7OORIzsJBIJc\nfvk1idfa28+yb9/bXH/9R1KO58CBt9E0mZqa3lnLlpbd3Hjj7MRgvHHejA7m5MjeiPYnWxQqhCAY\nDOJyuSZVlDkYhtpfI3sSDof5xCc+wa5du4jFYqxbt44VK1ZwxRVXsHz58vN+dmOxGPfeey9vvPEG\nXV1dVFZW8p3vfIf169ePxqGliwEv0ns6wjRg5O/HKv06EMY6wuzLaRuPx8fFCzeOy+FwUFExk5kz\ny+nu7qajo4MtW+qpqSnHZovQ2noAMKEo0R7tyyIWLJhFeXk2JSWXjalhH6uocqQYaKTFIFaIx+NE\no9FETSnZiCYvYDabjcsum86hQ60UFk4nEPDj9XrZs+cd3v/+v6G6eiGSJBMI+DhyZE+CQGDZstVs\n3vwy+fklFBSUYDKZufLKa9m27S22b3+N6uol7Nr1DmVlixKsTeXlekpVVeMcPLgNuz2Xq6/+QOK+\nisVibNiwh5UrUxVqzpzRa9Wprx2mtHR2z++pBIN+FCXGyZMHmT//Krq7PTgcGahqjKwsNYVFxlis\nrVZrSg3ZSCcmR6HG+ZssBvRiMJbJGKqG73a7efbZZ9m1axdPPPEEN910E9u2bePZZ5/lf/7nf1i4\ncOF5bTMejzNjxgw2bdrEjBkzeOmll/jIRz7CgQMHxk2mbzC8pyPMSCRCIBBIRJfjSe0UDocRQoxJ\n7l9RlEQE63K5kGUZr9eL2+0ec6MZjUZRFAWXy5WyeCVTEMZisUQkCnrEkJubOy4LmqIohMNhzGbz\niIWdJwLJaVwjGu1LrBCLxXjppbfp6tI4duwApaUVKIqK3W6ipkYfzQgE/Gze/DKrVt1IZqaeUm1s\nPM3hwztZs+b92O3OxPa2bHmDXbveYc2a21m8+Mp++9Td7eHtt19l9erbUhh7jhzZidfr72EN0tHc\nfIK6ur1ce+2HE7/f1tbEa689Q1nZZcRiQaLRUI9GZpTGxtNcdtnCHochjMlk4fbbF1NbW5NwAo0a\n/FDlEqNhxbgHDaOaHIGOpxE1GggnO2m8AWPePCOjv4B7X2zcuJGtW7fyb//2b2O2PzU1NXz961/n\n1lsH1sgdA0xFmH0RDAYTnY4Xu6Az9D6URu2hb6pqPGqmxnaMGlPflKIkSdhsNmw22xC/MvpIXmwn\nMqocKYYiVkgeacnIgD176li+fC35+UXEYhHefPNFqqr8uFxuMjLczJo1j/37t7F6tZ7aKiubicfT\nybvvbmTlyht7CAjaCQR8XH75tZw7dxSbzcTs2bUpxmnfvs1UVS1NMZbxeJxTp+q48soPpuz/qVOH\nKCoq58SJfXR0NNLR0Uo0GkWWbVRUzCYnp5iMDJ2kYvfuN6isXJxIE2uaRmPj28yePSslfe52u4d1\ndJJltIzfgt6oczJHoZMF6TqTY02L19raytGjR5k/f+I5hN/TBjMzMzORAhvvBpzkBoYLxUBdvRMR\nORlevKIoCCESTS8TrbhgRJUWiyWtxXYyo+9Ii86+E2PJkkV0dkZxOFxEIhFkWaa4uJwDB7ZzxRXX\nIkkys2fPp7HxFGfOHGPGDD0dumDBErZu3cCePe9QXDyD/ft3sHjxakpKZhII+DlwYCcbNvyW8vJ5\nzJx5GQ0N9aiqjaqqVO7eEyf2kZtbSnZ2HvF4nM7Os5w5U8/u3W9TUTGX/PwyiopmU1NzLe+++wpl\nZQspL+9VJ4nH47S0nOHqq3sjiHDYT2mpTtEYCoUuyNExDGEqc5DWL5VrdDNP1lroeGGk0l5jRSih\nKAp33XUXd999N3PmzBmTbYwE72mDadwQE9GxOlrbNIbsNU0bsqt3PGqmRsu/0f5v8LPC+A71G9A0\nLZH6HS6FdzEiWbg6Pz+fyy+fw4EDHgoKytA0jerqhWzY8GfOnm0gN7cQk8nUQ4O3iby8YlwuN7Is\ns3z5Gp577mkOHNjFBz7wcfLydEamjAw3V155LR0dbRw/Xkdd3VM0NTVRW3sdp04dTKRxI5Ew7767\ngbKyObz11u8IBrtxuXIJBLwsXnwtK1euSxidQMBLd7ef6dMrUo7l3LnjuN15ZGT0Lrzd3a3U1LiJ\nx+MjHvVJByOJQo3Pn68BnWwjJaMJv99PSUl/ub7BcM0117Bp06YB31u9enXiPU3T+NjHPobdbue/\n/uu/RmVfLxSX1gpynrgYDWZfpRSDvm2stjfUfhjeuTGvBaQYp+Q6nKIoKdRyYzHUD6lRZboqMhcL\njCg+EomkCFdXVMykrq4JRYlhtdpwuVwsWLCU48cPcvXV70PTNHJy8igsnMG2bW+ycuU6TCYThw/v\nx+XKwOXKoqXlTMJgGsjPLyQ3N59Nm3wUFs4jOzsbj6edWExPB7e3N2I2Z1FSMpusrFxycvIRQvD6\n679m8eIrU67tqVMHKSmZncIpDDopu9EEZBxfLHaW0tLl49ZZmm4UahjQSzkKHam0Vzq1TgNvvfVW\nWtv/1Kc+RXt7Oy+//PKkGRt6TxvMizXCTIf/dayRPLea3EwxEAarwyUP9Y90nGIwJEddl3pU2ff4\nrFYrixZVsGtXM0VFMwGoqJhDQ8MJTp2qp7JyHmYz1NauYOEV7gIAACAASURBVNOmv3DixEF8Pj/h\ncIAVK25AkmTefXcjwWCA2tqrMZnMCQamurrdmM2ZrFx5bcr+xGIRNmz4A2vX3kJmZk7i9WPHdpOb\nW5oSMWqaxtmzJ1m5MpUHOBQK4PF0sWxZJUJoRKMxPJ5WqqryJny+b7Si0IstwhzJ2uT3+0e9YfLe\ne+/lyJEjvP766+Pe7zAULi236AIx3kZzpNszZqP8fj92u31EXa+j6RQkjz8AIzZuRh3ObrfjcrnI\nzMzE6XQmuGhDoRB+v59gMJiYkU2HHD8WixEIBDCZTGRkZFxyxlJRFAKBQIKNaKDjKy+fgdMZJRQK\nJF5btGg5R48eIBIJAfr1mjdvCRs2/IVoNMQ119xCbm4B2dk5rF59I8FgkI0b/0xHRyuRSIRz5xo4\nffoUS5Zc3W979fW7KSioSDGWmqZx6tRhZs1KHStoajqKy5VDZmZuyusNDYcoLq5AkiTC4UiP8+Wn\nsnLaBZ2vsUCy82e1WrHb7Vit1oSSjeEMKoqCoiiJ7ubR6lcYT0xUDbOhoYHHHnuMffv2UVxcjNvt\nxu1285vf/GbUtnG+uLRWlPNE8sjDeHmBI93O+fC/9t3ehRrM5NSU8Zujcb4Go+hKltgaKo17qUeV\nRodvOrVYk8lEbW01mzbV43TqupO5uXlMmzaL/fu3sXz5tbS1NbN79xaWLLmSYLC7RwnEjSTJOJ0u\n1qy5ifr6/ezc+ToVFZdx+vQx5sy5EpAJhcKYTHo2IBIJ0dh4kmuuuSNlH5qajmK1ZlBYmFrXOnPm\nMDNm9J/NO3PmKAsXXk0sFsNms6GqCg5HYEx5g0cTw0WhRj3fSDVfSC10vDDSlOxoGszy8vJJ62Bc\nWivLCDEUn+x4bDud7WmaRjAYRFVVXC7XhI1D9K1VjrVjMVwaNzkFpqoqFoslMXN6KeF8arElJSWU\nljbR2dlOTo6uXbpgwRLefPMltm59A5/PQ03NCkpKyjly5CDbt7/O6tU3YbXqzCyyLHHZZTUUFZXy\n/PNPIcs2LrtMYLXakGUp4czs27eJgoJZyLKZWCzW48SYOHnyAJWVl6fsk9fbht8fICcnj66uVuLx\nGKoap6PjHIFAEKvVgs1mxWQy0dnZyMKFhRfttUyuhRpdzECC+aZvLdT47GQ3ooNhLLtkJxve0wYz\nGZPNYPbV37zQxpXzPb6xiipHir7crAbbi6ZpmM1mVFXF7/enkJuPVzfuWOBC2Yhqaubyyivbicez\nMZstPYuzme3bN3HnnZ+hqGg6AHPnLiAcDrJt219ZsWJ9yuxuW1sTM2cuYM6cxTQ01HP48A7y8orJ\nyysBJLq6Oli79jpAIhqNoShhmpqO0t7eSmFhB7t3NxCNhohEApw4cQCTKYMtW17GarVjMpnRNMHx\n43twuwt4993Xiccj2O0O8vJs3HTTzaN3MicIhrNjMBIl34vD1UIN4zlRBnSyjJVMNkwZzCRMFoM5\nFk0952MwhyIgmCgYtcpoNNpvIRoqjZusEDLZMdIh/YHgdrupqSln//6zmEwOdu/eSn5+Iddffyv1\n9XspKJiWOBdLllzBrl1b2LbtL6xYcQNWq53m5kZOnz7J6tUfJCMjk+nTZxIOB2lubsLjaWP37k24\nXPls3Pj7JDJuM2fOHKOgoAq/vxubzUlubj4mk0xXVyc33HAXTqfe8RqNRgkEvITDXtatuxOLRTfq\n586dIje39aJhxBkIyc7OYCn0dDpyjVRu8nfGKwodicFUFOWClI8uJrynDeZEpmQNJN+Yfflfx5oA\nfqh9So4qJ4uxNKJK0BVS+joS6bLijKbE1mhitDluq6pmsW9fHTt3nmLBguWUlc1C0wRbtnRw6NBO\nFi68IvHZpUtXsm/fDjZvfpl582rZu3cntbXrUrpcHQ4Xs2ZV09AgqKys4Zprbk1ZvFtbGzCb7Vx7\n7R2J14UQHDy4hRkz5mK12ohGIwgBkqTXNIuKZiUMislkwmKJsHTp3As67omEcY9KkjTi2dGRduQm\nG8+xMKIjbeR7L2Dyu9vjhIlIySZDURR8Ph+appGVlTXsXOX5bC9dMVgjqjQeyIl+GIz0dDAYTNQq\n04m6jTSuzabPJLrdblwuVyKFGwqF6O7uTnTjGgxFE4F4PE4gEEAIQUZGxqjUqk0mE1dfvZyFC+cm\n9CplWeLyy6+mufksp0/Xp3y+pmY5JSUV/Pa3/01WVjFFRf27VGOxCHV1e1i0aHW/RfrIkXepqlqS\n8rqiKDQ2HqW6ejE6NbXU4wjKnDt3kvLyOYTDYUKhED5fFzZbN7m5uRelKHEsFkvco06n84KN2HAd\nuUCKQ2jMOI9Gw0y6EebFeJ0uBO/pCDMZEzWLacgUjYao83DbGq5mmtzUM1lSl8NFlSNBcjeucZ6T\nU1/RaJRQKJRCbm42m8e0bms4A7FYLLEgjiaKi4tZvjzIrl0NlJToaiN2u53ly9ewffsb2Gx2Skp0\nBYhYLEZrawNXXHEToVA3W7e+xPz5K1NGRg4c2EpBQSX5+UUp2zl79jiKIjFjRqpI9MmT+8jJKcVs\ntgJSgvD+xIl9FBTMJD+/MEGp2NXVQG1tYaI2fSFaoeOJ5C7mC71Hh8Nki0INTLRTPV54TxvMiUzJ\nGtvy+/1jIuo8kv0wHrThCAjGe78MQ2Kz2bBarWOyXxOZxjWiXGOucqwWtMrKWbS3e2huPkt+fikA\n2dm5LFlyFbt2bUSWTeTkFLJt21/JyZnO4sUrUdU4x48f5u23XyA/v5iKigXE4wqdnV09jT690DSN\nurp3ueyylSnHEI1GOX58P7W1N2K12hKpV31O8yDLl98E6M+eosRwuXxUVi7HYrH0c2TORyt0PGBc\nQ2P2d7z3J91aqLGvxmeHc4rTjTDfa+Ld72mDCb2GcjwNpiHqLITA5XKNC5PFQMc3maPK8TAkA6Ev\nublxjozF2+DtTV64jSg0XfSNKi0Wy5gutJIksXTpIjZs2I7P10VWlk4cUFhYTG3tVezc+RbxuEJZ\n2XwWL9blwEwmM9XVi6ioqObkyXr27NnI4cN7qalZRWNjPdnZBWRkZGG12jl+fB82WxalpTMT29Q0\njUOHtpKVNY2SkmlIUjI93n7c7nxyc3vnLL3esyxcWJRwXNLRCjU6pCeiKzq5+WwsMgMXgtGIQtNd\nC/1+/0XdoDVSvOcNpgFJGj31kMGQzP/qcDgQQoyrMTAegskyKtIX421I0sFApApCiASDy0jTuMkp\n5vF0BqxWK6tWLWbDhncJBi24XDrlnNudBZjo6mqnuto+wPdszJ27CK+3meXLbyI/v4jOzmZOn64j\nHA4Qj0c5caKeqqr5vPrq0wihJcoMJ0/WUVk5j5deeqLnOCVMJpljx/Yzd+5S9ux5E7c7B7c7F1lu\nZebMZYPuf7rkFn21QsciCjWIMox682RxNAfD+UShkJ7R9Pv9E05fOJ6YMpg9GOsIM1nU2RgVGc8m\nk+RO3PEkIEgXxijFRESVI4UkSVgslmHTuH3Th4qiEI1GxzTFPBTcbjdXXVXDm2/uRZLKCQQC7Nnz\nDpWV87n22lvZsWMjXV0vsHjxGlyu3u7YI0d2EQ5rXH31Nf1I07dvf4WysgXMnbs4cfwAR4/upKJi\nPgsXrkh8VlVV6uq2YzJlUF1dQzgcwOfr4vTpw6xbVzniTMtQ6XTDiMLoKuUY1I0Wi2XUG/PGE4NF\noYZAgrFOGNdzsFroe2kGE6YM5pinZA1vNBaLJZh6JuohMx6AZJWFicZkjCpHioHSuI/9qpH2jig1\n81zUzHeQ5dYXGYvFMqHOQG5uLmvWLOJPf9rI8ePNLF68ipKSmQBcffVN1NXtZePGP1NRUU1lZQ2d\nnWd75jFv6WcsGxuP0d0d4JprbkSSpJ56swO/vwuvt4Nrr702pdtXVRVaW0+zcuX7E3yysViUQGAv\nV1yRygx0PuhLbmHU541sQF+lnJHM5ibfpxeTAHm6SGYlkiQpETUOVwvt7u6eMpjvRYy2wTRqHMmi\nzn0fzPGqmxoLB5AgJx9Laa10kTygP9mjypFAkiRuubGIvQe72bnXwxO/bWZmmYNrV+eyapkZTetN\n405EE0t2di433ngFWVlHsNl6ZZlkWWb+/FrKyiqpq9vNiy8+ic/nZc2aO1LmMUFXGDl4cBu1tTck\nFlNjbnj//k1UVy/Dak2NGA8d2kpxcVUK+XpX12mWLp02JjVAwylM/u1kisWBmroGikI1TSMUCp3X\nbOXFAiNyHoiVaCiO3Oeff56zZ89edGos5wtpmAX7kh+ySfY+Q6HQqMjUJDeHOJ3OQb1RI0VrcEyO\nNgaqVRr7Zxx3X2mtsR6jMPZrNAf0JyOSCeHNFju7DwR4bWMHBw77ufaqPG69qYiiAkvKdYCxFdru\nDsT52RMNFORZ+fu7yggGg2zduh+Px0p+fnlKfbCzs4W3336NzMwSotFuLBYLeXkl5OQU4XbnsH//\nZvLzK5g1a0FiTEeSJA4e3ILX62P16ptStt3W1siePZtYu/bDCUMaDPqQpKOsW7d8wjot+zZ1xePx\nlKYuw/E1GnsuNaOQHDmPRLggGAzyhS98gZycHL73ve/hdDrHeE/HHQNe6CmDmbRgBYPBCzKYyU09\n6Yg6G16rw+E4720OtS/paFUmdx8mL9xjxYaTHFXa7fZLwls/1SphswiKs0GSUsWd+3rr7Z0xXvhr\nGy+/0c7yxVn83e3TmFbcS8qdfB1GcxZxy04PP328gatW5PDJO6djt/UOvtfVHWX7u20ElOksqc6l\nufk0e/Zsp6ZmDaWlunKEx9NBR0cLHk879fW76e4OMn16GQ6HuyeVbiUc7ubUqZMsWLAUlysbk8mM\nzWbHbLaxf/9mFixYzaxZlyWOtaVlD9dfXznpVEmMNK4xzgIknMrJyBB1vkhuXhoJ0UJ9fT333Xcf\nDzzwAB/96Ecv+vMwCKYM5kAwFiiDvDs7O/u8f8fgf013eDn5Zh0tXGhTT9+6j7FwX2j7/qUcVW6t\nkzjQIBOMwMxChdnFUarLrFgsg98DwVCcP77Uyp9ebePqFTl87PZScrJTz0ly+nCgbEA6adyOrhg/\n/8UZTp0J8YVPV7BoXmpHoxCw/5TES9u6KZTqULxnaWhoY9my68jMmYaqgTMpW7p//zu0tLSwYsV6\nLBYziqJHJx5PO3v3bmLWrCVkZeUQjyvEYhEUJcKRIztRFCgo0HllXa4snE4X11xTxpIlC87vpI8h\nkmcrDWc2uSPXYNNJdmRGOlo00RgqBTsYhBD88Y9/5OGHH+bxxx/nsssuG4c9nTBMGcyBkGwUfD4f\nOTk5w38pCUIIQqFQIqUxkrSNkbIbjTmmsSQg6LtYDKVNORAM1Qaz2ZxgernUoCgKbV1RTnfYOdps\nJRCWWDJLo7ZK4Byi+bPbH+fXz53j9U2dfPjmIm67uRibdeBzOVg2YKA0rhLXeP6VVv73Ty28f10B\nf3vrNKx9fleJwyu7ZFo8ErdeqVKQpYv3Nja2c/RUiE5/NtPysijKy8RstrDr3Q10tZxj5TUfJsOd\nmbiOgYCXrVtfpqJiMVVV81K2ceDAFjo727nqqvdhMpkIhQKcOXMct7uDD3/4hkk1v2joVRoZoqEa\n0PqmcScrsUJfJM+PjsRxjcViPPTQQ/h8Ph5++GEyMjKG/9LFjSmDORCMG14IgcfjIScnJ+2bPFnU\n+Xy4I43ZsQs1mOM9KpJu5AO6UxCPxy+pqPKcF2QJsp1gM/fSojkcjkQNqM0LO4/J1J+VWFopuHKu\nhnWIwz/bEuHxZ5o4dirI3R+dztpVuchyekwryY5MPB5nx94Qz/yxndJiG5/5+AxmlPbPYHgD8Ow7\nJgqzBTct1bD0lK6EgDNd0O6NkmPqxNvZRUuLl0MH64i0dTJrxlysxXMxmW2YzRYCLY3sPbiFWfNW\nMGdODWZzr5E5eHArLS2NrF79/kSdXhesPsp119VMqvk9w/E1+g5GWlMdypmZLHJzxjGONAXb1NTE\npz/9ae68807uueeeS6KMkgamDOZASL65u7q60jKYoyXqHI1GURTlvL21yUJAMNBiYdxXRq1yoheL\n0YQnCN4QeEMCWdLIdWoUZ5uxmPsfnzcIGw/InGmXuLFWY07p0I/U/sN+/vuZRuJxwf+5YxpX1Gan\nZThVTbB1p4df/7EZgeD/3F7EonnOAZ2Zs10mnttqYuVcjctnC4zLompwok03mpWFYDb11Jx9XdBY\nRywjByWjsKdBLkqo/hBn/vongrMvp3D+MqJRhXBYQYtDU/1JfBpUVS0mMzMPh8OFosSIRk9wzTXz\nyM3NHfqAxhFjNVs5UGZmPHmKk2Gkmc1mc9rHKITgjTfe4Fvf+hY/+9nPWLZscGKJSxBTBnMgJA/n\nejyeAcc/DBgdZYao84WmF43UyPl42pOVgEDTtASZvNVqTdRDkxtYJoO3PRIITQWpN71m1GNjMQXN\n5MQTNuMNQX4GTMvWDU1fNLTBSztNVBQL1i3WBvxMYntC8M4OD8/8sRlF0bj5+gKuWpFLfq613+dO\nN4Z5Z6eX1zd24Hab+ZsPlbDy8ux+RBXGol3fJPHmIRfrl4SZVSwS10ITEsdawWqCmQUgoR9jPNiN\no/MkctEs5OxewnV13zvEd7yB5ZZPIhdOT7yudPnYc+cDUFFK+b9+jmg0SldXgNbWbkBjxYr5o9KJ\nPhoY79nKvsQKRkPRWHZGn28KVlVVvvvd73Lo0CGeeOKJSeXgjBOmDOZASDaYXq8Xt9s9YDrG8EKB\nEbVfDwWjtjeSwd/JElX2RXL9ZyBPvW8j0UjroBMJreUEorsdyZ2H5solJMyYLZYUhykW11O1niDM\nyIO8AZIGUQVe2CETjkncsUrFPkz5TgjB/sN+Xn2rg+27vWS4zBQX2LDZZALBOI3nIjjsJlYszWLt\nqjzmVrmGvBcOnJbYsF/mjlVxCjLjSddD5VzAhcUE5Xl6xBmJRJA1BXvrUaSiSuSsgsTvqHW7iL/z\nCtY77kXKyku8HvcH2fO+vyf7qqVUfeuLSJP0ekLvbCUwKlJc54PBGuxG67lIVlEZSZq5vb2dz3zm\nM6xZs4YHH3xw0j6XY4wpgzkQkg2mz+dL6CUaMG66sRB1HukoS7qjIuON5JnD5DreUBjI2zb4Qidb\n04QQAhENoXhakQMdSIBcMAMpq6jf/gWjcLId3HYoz4O+uy8EvLpbptUrcecaFWuafpemCZrORWjr\njBGLaWS4TBQX2ijMT49O7nCjxOt7ZP72GpX8Pv5ZQ4cgrAjKs2PE44qetQAc7ccQ7nxM+WWJa6F1\ntaL87mdYbr8XOb8kdRt//1Vkh53qn3xtUly3wWA4qiPpEB0v9O0PMKLQkY559e30TfcYt2/fzoMP\nPsj3v/991q5de8HHcxFjymAOBCNlAdDd3Z2StjD4X8+3qWc4pGswL4ao8kIXn5F0gI41tLYm0DSk\noulIkpwyO2qz2ZAjfrS20yA05NJqJFtq05aqwfFWsJigomBgo/nCDhlNwIdWjC3hP8C5Tvjft038\n7RqVoj5TU74QnO6Ey0o0lKg+5mS325G6ziJCXmIFVag9957ZbMb08lPIs+Zhqb065VoEDh9n3233\nsWLPnzE5xoaI40KRPNo0WlmisUYysULySMtQ87mxWCzR6ZtuF7KmaTzyyCO8+uqr/PKXv2TatP7i\n4e8xDLjQTP47ZhxhUNUZ6ZqJFnWGiyOqHA3R3MHUKIxFIhaLXbCsVroQ7c2o776JiEUQ1bXEqpdi\nz8nrvQ9c2cgzaxDeZrTT+5FL5yJl9I4jmWSoKoL6ZmjthuI+/pAkwU1LNZ54zcTRs9KwjUAXgqgC\nz28z8b6lWj9jKQQ0dML07DiRpJk8hIbmOYdpZg1Om95hq2ka8Y4WtK5WYjf+LeHu7hQquY6X36Lw\n1hvG3FjGOj1Y80Y2+gUTKxl3IUh+Loz7r69aTvJIi+FYj8Qh6O7u5v7776eyspKXX375kulmHwu8\n5w1m3wU3FosRDAYT/K9jrVM4mMGcrFqVfaNKp9M5ZudIluV+PKDDyWqNxnkyzV8Gc2sJN53CVPcu\ntj/+HNOKGxCLVyeOVZIkpJxpCKsTrakOuXwRkr030jTJMKsQDp/Tm4H6NvlYzHBtjcbbh2TmlKqM\nFbbUyUzPF1RP73+feYJ6l6+VMI6kBVb4u8CegWTrHUeRZRlTSwNSxVzsmVn9FVqCIYQsJdKAo82G\no4YjNP7X0zQ9+luu2PEHLLm91l8IjWS9zb4wIq6JUokZbQyklpPMiwskMmPDjbQcOnSI+++/n3/6\np3/illtuuejPzVjjPW8wDSSnAd1u97ikawYymGNJQHChSG6UGI2ocqRIV1YruRN3uEVbi8aINLXg\nrJyR+M2EekrJDCwzKhHeDuKvPIPWfg7zujtSFmfJlY1UUI7WcgzTzMUpv223QJYDuoJQOEBfV2Wx\n4KWd4AtC1hho8Cpx2HNS4lPr+hvkeDxOe7cg265rOqY0aIX9SM7+ZQIRDSPZdSPaV6GlaN1qjtz3\nL8z88t+j2khkBC6UIUoNR2h55s80/PBJMpfM4/INT6caS28Hyl//F/MV1yOXV/e+3vNcGU0vE3G/\njheMez/ZIRhMK9Tr9fLmm2+yYsUKduzYwdNPP82vf/1rKisrJ/owLgpMjrBlAmE09XT3pJhsNtu4\n1zb6Cjsn81dOBmNpGJFAIIDFYpk0i4+xaNtsNlwuF263O9G0ZXQ1+/1+gsEg0Wg0ZT7UQPhkI3tu\n+hQ7Vn2Ec7/+MwG/n3g8TkZGRmLxkXMKsNxxL6KzBXXP2/33I6cEYhFENNjvvUwHBKID778sQ36m\noCswNte4qUMiPzPVGBt1vFAohKKZyXYPEHFpKgxwfaXcQrS2swNuK2dlLdmrlnLk776EyRfA7Xbj\ndrsTo0WRSITu7m78fn9C7m4wwXYhBN27D3Hsn/6DrQveR+dr7zD/F99jwa9+gH2GXlsTSpT41leJ\n/ebHyJXzkcpm936/ux2tYT8Bvx/Qhbonw/062khuSHS5XCk9BIZOqMPhICMjg8zMTBwOB36/n1de\neYX169fzwAMPkJ2dzbPPPsvmzZtTxKOnMDCmIsweZGZmEovFxk3QGXqbdyZrUw/okXc4HAYmJqoc\nCQaq9wxXB3XOncWVdX+h/bV3OP2dR7D89iUWPvOf/aXYLDbMN/wNyu9/jqlmFVLSeZAkCcmZpUdm\nfRqAzLLeBDQY4qqE2TQ2jT++EORm9N7PxrU0ZKrolgbubLDYIRrq97JcXk38jT+gNZ1Enj6r3/vV\nP36Ihn//H3asuIOiO26i8Pb1ZC6dj6WHj3VQoW1ZJt7USnD3Ibq376PrjS3IViuFt91A7V9/kYj+\nAYQSQz24HXXnBuTSCqx3fREpM6fnvShay3FEJEgkuwxbT9NLXIMzHTozU+4YRPITgb6SY8OtF4Zz\nabfb6ezs5Hvf+x5r165l69atbN26lYceeogNGzaM095fvHjPd8mCntIwBu5Hg6puJPB4PAmmn8lk\nKJMHni+V2g8MPA8KPelek4lTX/ouqBrz/vvfBvx+7Jffw/y+jyEXpHYRaufqwZGJnJM6atHig4gC\nMwcQ5Igq8NMXTHz2Ayq2MeizOHRG4kiTxG1XqgOm7Y63QrZLr7EmQ0TDaKf3IlctQ+ojGq2ePEz8\n9d9j+dCnUggLUo7rXBvnnnqOjhc3ED7ZiKNqJo7yaVhys5HtVoSqoYbCKB0eIk0thE81Ys7OxLVk\nHq6l88m+5goy5lWlyM0JXyfq/q2oh3YiT5uJ6Yp1yEX69oWmIjqbEF1niWcUoGQW4XTpjT2+EJzu\ngCwnlOXqtWUAVYVNh2RmT9OYPrnEUoaFMRYzkudSCMFLL73ED3/4Qx577DEWLlw4Dnt6UWOqS3Y4\npNO1OlowokpZlvH7/Sl1t4lmwUmOKi+mjsJ0YNRBjaYUYx5PkiRUVaXk6/ez//IP0322BVt+Tv/m\nFbMV1Hi/3xXREHJWUb/XfSEoGITIac8JiVnFYkyMJUBpnuCvu2X8gRAS/buZs53Q6e9vMCWbA8md\ni2g9ASVzUu5F06x5sPZWlD8+hql2DaYlVyFZUrvIbdMKqfjKP1DxlX8g7vMTOt5A+PRZ4h4fWkxB\nMsnIDjvWglxsxQU4qsoxu3UnNZnUPOrpIHrqMKZTh5E8bUjVSzB/5B+Rcwr0Z1VTEZ5m3Vg6MgkX\nzMbsyMBlt6OoEo0d+lzszHzdYBro6IY/bzeRYRcsn9P/vMViGu2dMUpLJtd4zPmOxSiKwje+8Q2a\nmpp49dVXR0SUMoVUTBnMJIyXwUweFXG5XCnDyn3ThuNJI5fc8HIpRZV9kawD2Le+5XQ6sRXloXV6\nUXN60/QmkwmTFkfytEFOQcrviVgYYmFwpC5EoSiEFd0w9UV3CLbWy3xs7djVjVxWhXy3oK7JxvK5\n/e+h3IxedqKcPkkVqbgK7fQ+aD0BRZWpRnP2IuSCUuKbXyD2xLcxzbscec5ipMLSftswZ7nJXLqA\nzKXDy3iJSAjR3IDUdAK58TgWb4feyLP4KrQZs4kLiKoqkqcDa6gLU6ATnFnEi2YTk/R6nWyy0OzV\nx3kK3LqxNKJKTYOdxyS21MmsWaCxpLKXR9dAc2uEb/7wBAvmZnDf3eXpn+wxRt8UbLpObEtLC/fc\ncw8f/OAH+fd///dLyvmdCEylZOnVxDwfqrqRIN1a5UTQyCXPqTkcjkvywUqHaCHW1sm2pR9i1bHX\nMdl1Fp1Ex+GujdDSQGzt7anXovU4ktWBXDgzaVtwpFmnyOvbIRtX4Zm3TFSVaKyaN/qPWHIk4o+5\n+P07Vu6+XiV7gEqDP6KTLFQX00+GTKhxtKbDoGnI0+akjJkY0Dpb0Q7tQDtxEBGNIJfMQMqfhpSd\nh5SRBXYnWGxIsqw7o3EFohFEOADBboSvC+FpR+tohkgIqbgMeVoF8ozZSCUzE7VioakIfyfC2wph\nP5o7HyUjHwX9fUk20R2z0R4w47bD9FwJe1Lk3uaFsOuSSAAAIABJREFUl981YTbBzctUcgagLtyx\nx8t/PHyKO2+dxofWF04aZ/F8mImEEGzevJmvfe1r/PjHP2blypXjsKeXFKaYfgZDsnEaCVXdSHAh\nBASDyWmNxvxhyhjFMBqAFzOSiRaG4tWsu/efMWe5mf3d/5vyuujuIvbrH2G54z6k3KJe7s/uDiye\nJiLFczFbbYnrcc4rEYhKVBenMv1oGjy/Tb9Wt16p9YtwLhTJlGh2ux1ZltlxVGLvSZm/W6sOqM3Z\nFYSGDn1uNMuR+p4QAtF1DtHRgJSRh5RXimQfWF1H+L1oLWcQHc0IXyci4INoRO8g1jSdW9ZkBqsd\nyekCVyZSZi5Sdr5eE87KTRnZEUoUEfQg/J0Q9IIjEym7EMmdT1zVr6fJbMMbsdDml3BaNPKcUSyS\nkng+4pqJbUetHGwwcc1CjcWz+keVQgj+8GIrz77Uwtc+X8n8uZNDdiz52RxJClZVVX74wx+yfft2\nfvGLX1BQUDD8l6bQF1MGczAk8zb6/X6ys7OH/1KaGAtVkcFUD0YyfwgkKN8u5agSej304eSbmh75\nNWcff5alG55O1NRAb4JRfvcz5PnLMNeu6X09EkBrOIBUNh/N6kxcD09Ioj1kZ1ZuBLu116ERQuLF\nnTKBCHxk9dCKJaDzx55sCHHsVIimcxEiUQ27TWZ6iZ151RnMKO09luQmrb6OjxDw5n6Zky0SH71a\nxe3ov63usM6Bm9ejuGLqcysIVdENp6cZTBakzHwkVw44MoYkDUgXQmgQDSHCfgj7ESEfqAqSKxsy\n8pDcuUgmS88oRQR/RBBQ7PgiMjlOnU3JYTV+S6DEVQ6ckni7zkJZvsLKOSHcTrlfn4CqCX72RAOH\n6wN84//NTpubd6xxvuTwXV1d3HfffSxdupSHHnpoUne1T3JMGczBkKwU4PP5yMkZOfVWXySTD4w1\nAcFwPKx9G1eSU3aXclSZrNYwFCm80DROf/dRWn7zIotf/G8c5b0dsCIcRHn+f5CLZ2C65kO95zAS\nRDtzALm4Eimz14PvDEBjl6CqQMNq6nVoYorGawcyUTWJ266MY7cNXpduaYvy8hvtvL65A7vVxNzZ\nLsqm2XE6TIQjGmfOhtl/2I/VIrP+2nzWr81DlnQ+5MEWVyFg6xGJXcdlblmhMmOAoENR4UynnqYt\nydabgfoZTiEg5EP4uxBBj167tTn1dK3VAWYbktmiR5KSKSm8Fvp8p6oiVAXiMYjHELGI/htKRE/d\nOtzgcCM5ssDuSjH6gYhKuy9Od8yCSZYocEvkZeicvcnHebxZYuMBGasFrq9RKckdWBUEZH7yeDPd\nfpV//lIV7ozJQQlnzBCPlJ959+7dfPGLX+Sb3/wmN9xwwyX5TI8jpgzmYEgWPfZ4PGmJSA+Fidaq\nTJYNSiZsNlr04/F4QsXgvR5Vhk81ceSz30Coceb/4vvYinpnDLSOFuIvPIlctRDT6pt7F++gF62p\nDqm4EjmrMPH5tm69iWZOMTiTGkcDYfj92zLZGRrrFoVBqAPWpU83RvjNc+fYc9DPdVflsX5tPhUz\nBugYQr/GdceC/OkvLezc6+Pm6/P56C2lZLiGTtsdPyfx0rsyC8oFV83XBlRLCUb14whE9MagPBe4\nbP1J5EGvcxINIqIhiEV0I6jG9LkNTaV3CZFANoFs0kdVzFbdQFrsYLWD1dlPDkxRwR8GX1jgCwFo\nZDsh3y3jskn9Ut1Hz+kNPaoGaxZozJ7WP/3a+3mN7//sJB6fwlfun44saf2EtsebOOR8tSs1TeOJ\nJ57gueee46mnnqKsrGyM9/Q9gSmDORiSo7Kurq7zNpiTnYDAEHY2uoHHg8h8vJFu673i6abxp09x\n7sk/UPbAx5nx2Y/1NpgIgXZgG/Etr2C+6gM6t2zP68LTjGhvSCFcFwIau8Ab0o1lcrPJ2U54bquJ\nmgqN1fN6F/DkunRre4Snn21h/+EQH1qfz/uuLyDTbRvy/kmOnn1+md8838q7e33c9eFp3Hx9ISbT\n4NcyGIHX98qcaZe4er7GgpmiXyQJ+vxoZ0CvcaqazlrktuvG02EZ2ICeD4TQjWNYgVBM7y4ORiGu\nQYZNYDfFcJoVst0OzH3y2KGorvO567iMyw4rqjXmlA5uKA3875+aeWeHh+//czV2m2nC1XKSO7dH\nkoINBAJ8/vOfp7CwkO9///tjJhTxHsSUwRwMyZqYHo+HrKysEUdeEx1VDgUjxWMwfcg9HYsXq6Dz\nYEg+zsE0AEMnGjj7+O9p+fWLFNx8DTP/6TPYpxcn3tc6W4hv+CMoMcw33omcp89WiriC1nwUlAjy\n9HlIVr0QGIvrtT9JgsqCXpJ1IWD3CYnNh2Ted7k2oCJJTNH4w4st/OGlVt53XT53fKAIq0WkLNgD\n6SAax9k3ej7ZEOLRpxrp9MT4h/8zg2WLh25ea+qAjQdlvEGJZbM1Fs4UiTpgX0QUvc7pj+hGLRoH\nuxlsFrCa9bSoWdZTuCa5Z7VJOAegCT0KVDXdECqqfu5icf23ZEmvQTqsenSeYQOzFCcc7n+csTic\naJY4fEbidJvE7GmCpVUapXkD73tfdPvj3P3Afh75/vwha5Z9DehoijsnY7DrORyOHDnCP/7jP/KF\nL3yBO+64Y1KtOZcApgzmYEg2mF6vF7fbnXaxfDJHlcnR1nApnrHsxB1rDHec4YZzdL66ibY/vEro\nxBlK/vaDlN7zEexlvaw8wu8lvv11tOP7MV+xDrlmVWIUQnS3I1pPImUVIhXMTKQOPUFdS7LQrTfK\nGJc9EoOX35XpCugsO7kDNF0eqPPzo8dOM63Yxn13z6CkKHVIfrC0upEdsNlsA9a3hBBs2+3jsafP\nUFJo4+/vKmNW+cBpXQNnO2HnUZkTLRIVRYK5ZYLKYQgVVE1nKor2GDxF1cdl1B7DKETv4iFL+rkx\nyWCSdKfC0vPPZgarRTe2ycdgdIfqtWcL7T5oaJM41Spxpl1iWp5gXplg7nSBfYRB1Z6D3TzxmyZ+\n+m/zRvS9wZ6R803jnm8KVgjBs88+y6OPPsqTTz5JdXX18F+awkgxZTAHQ7KItM/nSxB4p/O9yahV\nCenX8AZDcorqQjpxRxv+fUewlRRgKchNRFsJcWerlXiHh/CpJgIHjxLYW4d3y27i3QHy1q2i4Jbr\nyb1uJbK1d2HSulpRd21CO7YP04IrMC2/LqHIISIBtJYToMaRS2YjOfWByrgKZ7r0Gl9FgZ6mNNDQ\nBi/sMDF7muC6mv6dsMGQyuO/bmTbLi/33T2DVcvTS/8b4yJAQvdwqKyAEtd46bV2fvPcOWoXZfF3\nH542LHNNOApHmiTqz0o0dUgUZkNZvqA0T1CcI3A7Ri8NOxiiikZze4SugAlf2E6LV6LZI+GwwowC\nwcwiwaziwSPhdNAdiPPAQ4eZP8fNTdfmM7vShdUycmdwqDTucAotQghCoVBCTzZdZzQajfLVr36V\nUCjEww8/jNM5tDM0GmhqauLee+9ly5YtWK1Wbr/9dn70ox9d6h24UwZzMCQbzO7u7rSisckaVRqc\nuIb49Wgpr/RVfh+uE3escOiTX6Frwza0cARzbhaSVe/w1YJhFG835swMHDOn45pXhbtmLllXLsF1\nWWVKQ4lQYmgnDqIe2oHoaMa08EpMi1cjOfX5QhENIzoaEAEPUkE5Uk5JT2TX0wXr0Um8p+f0dpEq\ncdh0UObQGYn3LdOoKun/6Ow52M1/PnKKJQsy+fTHyoZt0IGhOX3TiXjCEcHzf2njT6+0smRhJrd/\noJg5s4bnSlbi0NQp0dgu0dwFLV6JuAq5bsh2CTKd4LYLnHawW8FuEVjMevRokvWoUt/H3jRsPA7R\nuERMgXBM/xeMSATC0B2W8AUFoahEllNQkAWF2YKibJiWK8gYYBTmQuDrVnjxtXbe3uGh6VyEgjwr\nhQVWcrMtZLrNZLjMOO0yDocJh13GZjNht8rYbDI2q4zdpv9tt8k47KZEzTj5GTFGv/oaUMNYGiWS\ndJ+ZxsZGPv3pT3PXXXdxzz33jNuac9ttt5GVlcWjjz6Kx+Nh3bp13HPPPXz2s58dl+1PEKYM5mBI\nNph+vz+xMA322Us1qhwpBqrxXKj+YTpQVRV/ZxeapxurbEKWJUwuJ5acLGTbINctEkJrOIp24gDa\n6SNIxTMwzVuGXLUIyRBODgcQnY2IoBcpdxpSbmmCfDwQ0aNKBJTn640vBho74KWdJoqyBTfWav3I\nAWIxjcd/08TmbV18/tMzWb4kvTnfdMkWEsc4RMQTUyT+utHDC3/tIDfbwo1r87l6RS7ujPQdqlAU\nPAHwBCS6Q7qxC0b1FHRUkYjFe9KyPSlZ0CNSuScNazaBzSKwmXUj67CByyZw2QU2UwynNUZhjh3r\nQK27Y4hoTKOlLUprexSvL47PrxAIqoTCKpGIRiSqEolqRGMa0aim/x3ViMQ0/f2IisUq43KayHCa\ncGeYyco0k5tt0f/lmCnINVGYbybL3auqk8xpPNRzIoTgtdde49vf/jaPPPIItbW143h2oLq6mh//\n+MesX78egAcffJDu7m4eeeSRcd2PccaUwRwK0aguWmhoPtpsqaveZG7qSVZaGWrecDz2YyDv+nw7\ncRPsMMb/p8lKJIQGPg9aWxOipQGt6STC04ZcOgt51nzkqgVITnfPNlSEvwPR1QxKRDeSOSUJQxmO\nwVmPrmk5PUcf7E+uVb51QOboWYkbajXmTu//uDQ0hfnOj08wrcTO5z89k8w0DdT50KH1Pw/95w+V\nuMr+w2He2trN3oMB5s3JYMXSHGoXZlJacn7buRBcCpSMQgjCEY1QWMUfiOMPqHi7Fbw+hU6PQntH\njJb2KGebI4QjKuVlDqrKHVxRm8H8aseQjmY8Huc73/kO9fX1PP7446MyIz5SfO5zn8Pr9fLoo4/S\n1dXF+vXr+da3vsUtt9wy7vsyjpgymEPBMJjBYDBBKwbjS0AwUiRzo45XVDkSXGgnrvLX/0WcPYmU\nW4TIzCFusYPdidXZM9AuBChRRDQMwQAi4EP4OhDeDrA5kIumIxXNQC6tQCou740khQZBn97M090B\nDjdyTjG48xKsNcEoNPv0OcDibChy64LP+vd16awN+2SqpgnWLtIGrKn9dWMH//10I5+8czrrr81P\nmwP0fBQp0kWyGki3P8qu/X72Hgyx/0gQVYW5VS5mV7iomOFg+jQHJUU2bNaxMWKxWKyf5NiliGS6\nwrhq4XRjhGOnghQV2Fi9PKefo3nw4EG+9KUvUVtby/79+7nxxhv5xje+MWHORFdXF9dffz0HDhxA\nVVXuvvtunnjiiQnZl3HElMEcCoYqhaEI4HA4Jn1UaaTrJjKqHAmGq7n17cQVmoboakVpO0e8qw1z\nLIIcj4Gq6HemJIPVimS1g9ONlJGJlJWHlFOIZOvTddrDS0rAgwh4wOrQ6d2yCpEstp79A09IJyCI\nKDrdWoE7le2muQte22sirsKNteqAowwxReNnT57hYJ2fh75QOSj5QF8kL6yDjcWMNoxroigKLW0R\n6o8HOdUYpalZobk1RmtHDLfLTEGeldwcC9mZZjLdZtwZZtwuMy6nCbtdr+PptT6jxmfCZpOxWvo/\nN8kzpOmkmscbmtbT+dvT/auq+liMEHp2wej4tZjA0jNaM9AcK/Q6BfYeMet0EIlE+N3vfsfzzz+P\n3++nvr4et9vNqlWr+OlPfzquUaYQguXLl3Pbbbfx5S9/Gb/fzyc/+Umqq6v53ve+N277MQGYMphD\nwTCYhhGy2+2TsqknHcWNiwV9O3G1aAghmxMk5rIsE4lEEg5M2qM+cUVnn4kEdF7SsB+0ODizkTJy\nkDJyE0YS9LRrZwA6AvqYQ2GmLnclJ53WLr8uOHymTeLqBRqLZgoGcvg9XoV//cExcrOtfPm+CpyO\n4fe5b6p5IofP+9ZBYzEFjy+O16fh8wv8QY3ugEogoBIIqQRDKpGISijcW+uLJdX64qrAZpVx9BhV\np0PG6ZDIyjRTkO+gpNDGzDIH1VUu7LaxN5xxFboC4PFLeALgC0n4QxCISISiep1WUfXZUmO+VJb1\nf8btoBmNTKpuVKOKXp912SHDDplOQZZLkGmPke1QKC20YbOmd2yapvHzn/+c119/naeeeori4mKE\nENTX17NlyxY+/vGPj6uD0d7eTlFRET6fD7dbL2M8//zzfO1rX+PAgQPjth8TgCmDORQURUnUAg09\nSFmWJ1VNZaRNIBcb1LNHoLsDYbaimqxoJgvCZEE2W5HNFmSTCVk2mAG0Hm5SBVQFocRAiYIS1kMB\nmwvJ7gK7W69XWp0pvKRhRWfm8QT1BTLXpUeTfVOrngBsqdPrlMtmayyfI7AO0kDdeC7MV799lHVX\n5/N3t09Dlod3ZM6XZHs8MdgAfzq1aVUTRKMa4YiKzxfB6wsTi5sJhqCzK8a51iinzoRoaAqzclkO\n99xVRk726HC6ahq0eqGxQ6K5S6LFK+ELQqYT8tyCbBe6YXNChl3gtOkSZ7YRshgJoRvNYBQCYQlv\nQKPNG8cXMtMVMOMNQlWJ4LaV2pC/4/P5uP/++5kzZw7f/OY3J0XWSAjB9OnTeeCBB/jSl76E3+/n\nE5/4BC6Xi1/96lcTvXtjiSmDORRisVgi0olGo5Nm7hBSRwsu9qhyOKhqnGi3F5QINkmAqqDFYwg1\njtBUEAJJlpF6OEkls1Un+zZb9ajR6tDVNJLOjxAQU3WWGn9YZ6xB0oWdc5z6HGU/IeEu2F4vc6pV\norZKsHy2hmMIIYszZ8M8+M167v5oKevXDi+nlJwpuNhqeAPVpg2Si4Fq0+nQvvkDcZ78bRPtnTG+\n+f/mnPe+BcJw7JzEiWaJhnYJt0OfJZ2WJyjOFuRlMqxKzMDH3Pv3UJfJaNZKvqZKXL/n8oZQDTtw\n4ACf+9zneOihh3j/+98/qe6F7du38+Uvf5mDBw9iNpu57rrr+OlPf3qpy4ZNGczBoGkaX/nKV1i2\nbBkrV65MyHsNNHc4EFXZWO+bEYGMJC15MaAzoNd+nFYwy4J4fPhU83CduLJsJqpKRHpm/YJRncpN\nCN0wuu06J6p9gCgipkBdk64d6Q/D5VUaSyqHZrwBCIbi/ONXDnPnrSXcmKaxnMw1vJFiILk5Y3RC\nkiRisRgWi2XYuuzJhhD/8u/HePq/aka0/ZgCdY0SBxokWr0Ss4oFs6cJKooEriG4GjRNr1VHetKq\nsbjuWClqb8pV66H1S4aEnqI1yTpDkcUEVrPARBwTCtkZVhw2c1pRqhCCZ555hl/96lf84he/YNas\nWSM69imMGaYM5mDQNI1Nmzbx1ltv8c477xAKhViyZAmrVq1i1apV5OXpnR19qcqSCcxH24AONbB+\nqaDFB74QhGICTYDVpGGzyNjMUmIA3iT1NloI0FWihE7BpqoQ1wQxRSQtdBIWk8BmFjit4LJJZNhl\nrOaBIwMlDidbJY40ShxvlphRIFg8S6eGSzc7+shTZwiFVL74mYphP3u+vKEXEwwDGo1GE2T/MDSR\nuRCCb/7nCSpmOPjYHaVpbaezG3Yekzl8RqKsQLBwpqCqRAwYQWpCd5wCkV4nKhrXa9Z2i/5fm1lv\n4unLi2tk1o3GbIMbN95DyBBTNAJhBUWViQszYUX/Qk3Z0NFoOBzmy1/+MjabjR/96EeJzvwpTApM\nGcx0EY1G2bFjB5s2beLtt9/G6/VSU1PDqlWrWL16NYWFhTq7zCCD+xeqbqCqKuFwGLj0osq+MFJY\nstmKkG0oqp7CivcQdauafhP2HYSXpZ5FLYmX1GoGiyzQNDUlM5DciSvLZtq7Jc60y5xulWjskCjJ\n1TlJ504fOiIZDJ958CD3f7KcBXMHz7mNhNf3YoeRFTGatWRZHrYO+vxfOnhjcyc/+dY8rMOMsbR4\n4O3DMk0dEksqBbWzNNwDNCJHFfCGdacsENHvj4wetRWXTTeUw5WZhRB6vRzda+v7PA+UghU9xtQy\nxGN74sQJ7r33Xj7zmc9w1113XZKO00WOKYN5vlAUhV27drFx40Y2b95MR0cH8+fPZ9WqVVx11VVM\nmzYtYUCTF+qRMt9cylGlqsLmwzLTcnVe0gy7IBIZXtz5QhCOQqcf2ryCNi+0eiXafCbcDpXSPI2Z\nhRqziiWc9gvLDDzzh3O8trGD2z9QzBW12eTnptZQL4Xh/HQxkAEZCMl10OdeaePF1zr55oPllBQ5\nBiX7b/fp6irnuiRWVGssmaXT8SUjFu+VJIvFIcsJWQ49Dd/XgAlNS9Ly1EWshRLVxa3VuP4P0Rsm\nCgFIuji2yYxmsqDKZszOTEyG8LVp6PtYCMELL7zAT37yEx577DEWLFgwgrM7hXHElMEcLaiqyr59\n+3jrrbfYtGkTzc3NVFdXJwxoeXn5oAY0OYWbbECTo8rJ2i15IYgqsK1e5lynbrjiqiAnQ5CbIeld\nig69S9FhBatF6Gkxo6XfSIXRE3X2pF9jil6rjMQgFJV6uhShOyThC+nfycmAgkxBfpagOAeKsjVs\n5tQ6aF9t0JFmBoQQ7D3o58XX2th/2I+mCYqLbOTlWHFnSDjtkOm2keGy4HCY9DlFu85NarVK2G0m\n7AYvqUP/O50O28kEI4KOx+NpO0CaJvjl786yeZuHb391Nvm55pTrAnrPQDRuYmu9nfqzMlfO1Vha\nlWoohQBfWJ+fDUT1Rq68jP7NXPosrhdCPn3UKBbW53FtTr1ZzGpHMtvAYgWTBWRzSlQpevKxWjxG\nJOBH1hSskkCKhRGRAHJeKVLm4DVsRVH4l3/5F9ra2nj00UcTYxpTmJSYMphjBU3TOHjwIBs3bmTT\npk00NDRQVVXF6tWrWbVqFZWVlSkalH0bVkA3mMYM3qUSVfaF0ewSj8eRTE58YTO+oER3WG/HDxm8\npHGd6FtRe6ZHkpx8k9wrD2U169JONos+DuCy6yTdmQ59VMBpS288YLQ5cT0+hZbWCOdaAvj8caIx\nmXBEEI6ohMMa0Zg+r2hwksZi+t/hiEo4ov+/3S6T4dIJAjLdZrIzzeTlWinItVBUYGNasZ1pRbZh\n05fjgfMhXIhEVX7w8CnaO2P86/+dTVZmaopaCEFc1dhzQuKdOjNzSmIsqwzjcshJoywmOoMSLT79\nvijqmZ81SASEEBDxI7o7EYFOPXJ0ZiM5s3TlGZsrhXoxHRg16JF2qzc3N3PPPfdw2223cd99911y\nDvEliCmDOV7QNI36+nreeustNm7cyMmTJykvL2f16tWsXr2a6upqZFlmz549mEwmZs6ciSzL/ajj\nRsq9OpmRjrjzZMGFcuJeKA+sqgnCYRV/UOcm7fbHe3lJO2O0tEU51xqlrT1KYb6Nqgon1VUuFs51\nU1nhxDRO0WlyCWEobt++aG2P8q//cZwZ0+188R8qBjT6bT54eacJWYb1tSqF2b3XJabE6QzIdIQs\nOCwahW6VTIecuC4iFkF4WxC+Nj1CdOcjufP0lGlyo1FcQXQ0IzpbEF1tCF8XIuCFcFCnW4wreiut\nJIPFgrDaEXYXppwC5Pxi5LIq5OIZw56jjRs38vWvf52f/OQnrFixYuQnegoTgSmDOVHQNI2TJ08m\nDOiRI0dQVZUzZ87wz//8z9x9992YzeYU6rh05tsmK559oYUde71UV7qYVe6kuEAmP1ciO8t1UTa7\npHtdksdFxoOuUIlrNJ2LcPxUiLpjAQ7U+enyKlxek8WqZTlcsTR7zHhgk/UcRzIas2OPlx88fIo7\nPljCh28u6mdgVQ22HpHYeUxmzQK9TplcQuwKQpNHH0WaliWwmnoyA4oCYR/WQAdyLIhw5yNnFyM7\nM3tTqnEF0XRCV61pOoHoakXKKUDKL0HKLUTKzEXKyAaXW6dbtFhANqHF40T83YhICLumIPk9iM4W\nyMjGvHTNoMeqqio/+MEP2LVrF08++ST5+fnnd7KnMBGYMpiTAdu3b+cTn/gEZWVlfOADH2D37t0c\nPnyYgoKCRAp30aJF/QxoMvfqZDeg/kCcumMBjhwPcOykn7PNMVo7FDIzdE7SvBwLuTlWsjLNZLnN\nuFwmXE4zLoeM02HSa3p2nZPUZpOxmCcPNSEMPHdovG6kJZNHjDSNFOmr5Lk+qafb19zT5Xuhl7Oj\nK8b23V42bfNw7GSQq1bkcvP1BWlpYKaL8xmNicc1fvm7s7yxuZOvfLaSRfP61+86/fDn7SbsFsHN\nyzQykzpfQ1Fo6NTP3Yzc/9/emQdGVV79/3PvLJmsZIOEQCAIQcIW1iAQl+K+trjjDkqVF/eq7Vst\naqtiC62vy08tQhWtiNqiuGAFLAkiO4TILglLEhKyTZZZMpmZe5/fH5cMGSaBgJCwPJ9/0Lkzc5+Z\nycz3nvOc8z0QfXA+phACnHb0yn2ga4jYFLTIOPy68Rnh92MuLcBUuAWKC1A6p6CmnYvavTdKUqph\netGG13qs2YLq6mqmTJnCqFGj+P3vf39GV7qfoUjBPBW4++67ueqqq7j55puDign2799Pbm4uubm5\nbN68mdjY2EAby9ChQ7FYLCE/1M0FtLXKwo6guTdqUwuFpguq7V4qq71U233Ya33UO/zUOfw4XX5c\nbmP+YIPH2MvzNBqzBr1eHV0IY2Cv1fAjtdkMYY2OMhMTZSY+zkLnBCupKTbSz4lsk3/riUDXodYl\nKLf7sNfruLwWXB4Fh0ehwavQ6FNp9Bn7sUHDlVvxJfX6jfuEW422h6iDe7FxUYKEaOjcSRAd3nbb\ntiq7lyW5VXy1pJKkzlYmjE9hRGbMcV98tPS5toXSAx7+/MZuIiPNPPk/vYjrdPh+JeTvUVi2WeWC\nATrDeh+KKnUd9tdClQO6xRn2hYGI012PXr4bdD9q554QfWgijKitwr9pBfr2DZDQFb3PIPypfdGt\ntpD9aQDvgUo8xWV4K+xoLje614euKug2K9E9uhGd0QdzVNtM9NevX88TTzzBiy++yCWXXNJuF3vz\n58/n+eefp7i4mOTkZN577z2ys7Pb5dxnIFLOCmFdAAAgAElEQVQwTxeEEFRUVAQENC8vj8jISMaM\nGUN2djYjRowgLCwsxLy8ucNKS9M/2oOT0ULh9x8c3uttKpwxxNXp0qir91Nd66OispGi/Q0U7mtg\nyIBoJt7anXN6tu0Hri1oOpTXwH67wgG7QkWdQnU9hFsFsVEa8dEqsZEQHWEMRbZZdMLMGmbVh4oG\nHL0SVwhDNBsajeZ6R4NCvQvsTgW7AyrqjPt3SxCkJgp6JQu6dDq6gGqaIHeVnY8+K8VmMzHxlm4M\nG9zpmF7/8XjeCiH4NqeKOR+WcOv4roy/Mimk+rfRB99sUKmsU/jVeRqdmy3L3Qi7K41+yZ6Jh9pC\nhN+HKN+NcNWgdElD6XQotatXlaGtXoJeUoBp4ChMg0ajdIoPeh3eeif23LXUfr8O56btNGwvxGQL\nIyy1K2FJiZiiI9EVBd3rBWcDjQcqaNhdzOBPXifu/BFHfI/mzJnDF198wdy5c+nevXtb396fzZIl\nS5g8eTKffPIJWVlZlJWVIYQgJSWl3dZwhiEF83RFCIHdbmf58uXk5uayfv16wsLCOO+888jOziYr\nKyvgEnJ4xSe0jx9uW4c7n2w8jRr/+W8V8z8vY84rA4mMOP59xGoHFJQq7ClXKKlS6BRpiFXXOJ34\nKD9RFjdRkW3rlz1S435bK3GFgHo37K9WKKpU2H1AQRfQr7tgYE+d5KNMfdJ1wfLVdt6bv5+UrjYm\n3969TaPHjqeIqbLay//N2ou91sdTU3u1eJ7KOvj3ShM9EgWXDtUDrSJCQIUDSmsgNQESIptFlfVV\n6GW7jLFsnXsG+h6Fsx7/D4vQ927HNPwiTIPHoFgPmf/qjV4qv1pG+cdfU7tyI9FDMoi76DxiRgwg\nfEA6SnRk0HdGVVWsVmvg71gcTLurrexLO51OHn74YVJSUvjzn//c7nv1Y8aMYfLkyUycOLFdz3sG\nIwXzTEEIQV1dHStWrCAnJ4e1a9diMpkYOXIk559/PqNGjSIy0tizag8/3KYe0ubOLh2J369z8683\nMftvg4g/xskXNU7Yuk9hW7GKxwt9UgTnJAt6dDb6RFubGNMUHXr8Bz1JD85S9GuHXIuaZiqKJo8/\nQFEECgJV0bGoRurWZlGJCFMJtypYTK1HkEJAVT1sK1bZstfo98zqq5PR/ci2fj6/zleLK5j3WRkX\njo7nrpu6ERMdKgTHM8xa0wVfL6nkg0/3c93lXbh1fFcs5tDF7NyvsGi9yrjBOpm9Dv3M6DrsrQK3\nD/p0MaJLAKFriAOFCHctako/oy3k4Br1zavxr/wG04AsTFmXBM1C9dXUUzLrI0pnf0pEv950veM6\nEq+4AHOn4D3UporfptmVQEg/aGvfme3bt/Pggw/y+OOPc+ONN7b7hWKTJ/Ef//hHZs+ejcfj4Ve/\n+hUzZsyQdnvHjxTMMxUhBE6nk5UrV5KTk8Pq1avRNI0RI0aQnZ3N6NGjiYk59APTJJ5NAnq8frin\nqjPRv748wJq8WmZM69em+2u68QOeV6hQWaeQkSro30One0KwWDVFWmazBV214fIenKHoNUy8Teoh\nX9ImT9ImX1K1uS/uwecTNN/DFHibUs9+oxfVqxmfRYRVEBMOsRFqi6bxYAhN4QGFVTtU3I1w0SCd\nc7uJI6Zr6x1+3v90P7mr7Nx2fQrXXtoZ80FxO57U+vZdTt58twiLReHh+9JISw0PuY8QRhXshgKV\nG8ZqpBzKluLTYFe58f6lJTbrp/Q1ohdvRbGGo3RNPxRVNjjxfzsf4XZivuxW1MTkQ++Hz0fJWx9R\n9H/vknDlhfR4+C4iz23Z2PxIZvhN2x7NC7x0Xec3v/kNaWlpmM1mFi9ezPvvv0/fvsc/ZeXnUFpa\nSvfu3RkxYgRffvklZrOZX/7yl1x00UW88MILHbKmMwApmGcLTSX/a9asIScnh5UrV+LxeBg2bBjZ\n2dmMGTOGuLi4ID/cY3W9OVX9bnNWVvP2+8X83x8zSO5yhHlcGPtnGwsV1u9SiY2C4X10zk0RHP5S\ndF1Q62ykrgEaNSsur0qY+ZAnaYTVKNQxncDA2riw0fB4NRwegbNRxeUzoyoQH6GTGK1gs4Ze3AgB\ne8sVluarRIYJrhyhExd15HPtLW7g7+8XUV7p5Z5bupE1NBKvt+0XQUUlDfzz36Vs3u5g4oTuXHpB\nQiuTZuA/G1TKahRuPl8LVLqCEZHvPGC49HSLa5aCbXSjF21Gie2Kkph6aK+y+gC+z+dgSh+MaexV\nKM0+NNeOQrbd9zTWLgmk/+UpIvr0bHXtx2O6oGkan3/+OZ9++il5eXnY7XYGDRpEdnY2d9xxB0OG\nDDnqc5xIampqSEhIYO7cudx5550ALFiwgBdeeIGNGze261rOIFr8Q+j4CaWSE46iKERGRjJu3DjG\njRsHgMfjYc2aNeTm5jJnzhwcDgdDhgwJVOImJiaGGMp7vd4Q1xtVVfH5fKdcVAmwOKeKf3xUwku/\n73tEsWz0wdqfDKHslSy4KVsL2f8TwrBZq3bo1LhBVazERigkRSlE20JnKgohEF4PeBuMfw96kgrN\nZ3iS6kbhD+KgbZGigmoyZnearWAJMyzawiKN/1YULBYzFouZ6MimVhad+gYNu0thW5mJKKuPpCiN\n8DA1KDvQK1lwbxeNtT8pvPedicuG6Azo2fq1b1pqONOfPpf1m2r5x0fFzP1E54ZrkvnF2MgjDobO\n+7GeL5dUsO0nJ9dflcRj96cRbmv5wsmvweerVXx+uPMXWtAQbq8fdpQZFbBdY5u9p41u9H0/onRJ\nQ41tFj1WlOD7bDbm86/B1D+4CKfqm1x2TH2Oc559iK53jT/i32bzFKzVam31fodTXFzMO++8w913\n383ChQtpaGhg3bp1gUEN7U1cXFy7FhidzcgI8yzF5/Oxbt26gKF801Vykx9ucnJyq364QKAg4ngn\nspxIdF3wz4MG6C/+b196dAtNBYLxo72xQGHlDpVzkgXZ/XXiD2sHbPQbLQxVTmNvMcriJTHaRFS4\nOVDhKYQwjLrd9dBQj2hwQqPL8B8NC0ex2MASZgy1NlsNYVRNhkgGZkTpoBsG38LnNZ7P6waPyxiS\nHdkJouJRohNQTKH7sD6/oLxeUOFQiAv3E2/zgAidllNRp7BgpYl+3QUXDdJbTdE2T8Fu2+Xji28r\n2LzdSeaAaPqeE0nnBCsmk0JFVSN7ixvI3+ogMd7ClRd35uLzE7CFtZ5h0DRYsEpFUeBX5+lBFxua\nDttLIT4KUpqLpd+LvmcTSmIqalzXQ7fXVuP9+HXM467HlD446DxVi3LY+eiLDProFWKGt25qfrzz\nSIUQLF68mJdffpm3336boUOHtulx7cGzzz7LN998w9dff43ZbOa6665j3LhxPP/88x29tNMVmZKV\ntI7f7ycvLy8goOXl5WRkZARmgubm5rJ06VL+/ve/YzKZAv2gzW3jjsd39eficmvMfHM39lofzz2R\nTlwLRT5CGHuU/81XSYwRXDRYp0un4OMOD5TXG//GRwoiTQ3YzDqRkUYLhdA1cNUgHHaEq8YQtYhO\nht2aLRpskUedVNFWhNeDcNciHHZw1aBExaMkdEcJD2329/qNhv5GP/TurGNWQs3+fbqZz9dE0DVe\ncPmw4H3Nw+3tmkda9Q4/GzfXUbjXTXWND79fkJhgJa17OAP6RdEt+egFJULAF2tUvH64fowelLYW\nAgoqjH3ens32i4UQ6EVbUGxRqEmHZowKzY9v/uuoGcMxD7sg6DwNu4vZcMldDP70DWKGD2h1PceT\nggXj+/Hiiy9SWFjI7NmzA0PmTxX8fj+PPPII8+bNw2azccstt/CXv/zlmCJnSRBSMCVtR9M0Nm/e\nzJdffslbb72FyWRi3LhxjB49muzs7ID/bfMxTU3/Hovv6s9hT5GbP71SyKCMaKZO7IHVErqJWFUP\ni/NUnA0Klw7V6ZV06E9aCKh1Q2mtUXyTFAPRVi8+rwer1YrVakFx1iDqKxDOGrBFGRFfVLwx5SJo\nALIOdXZEbZXhSeqqQ7idcNCTVOg6ykFPUsLCUSJjDCu2xGSUhK4orVSgCs1v+KJWl0B4DGpybxRL\ncLpZCEPsD9TBucnGfqpx+6HPxtXgZ8GaKPok+zjvXH8ghevxeBBCnLQJOd9vVdh9QOW2C7WQUVwV\n9VDpgIyU4LmUek0ZouYAaq8hQe+xf0MOetEuLL+6L+RvasudTxA9tD89H5/U6lqap2CPpe2pvLyc\n+++/n8svv5zHHnusw6vAJe2CFEzJsbF48WLuuusuJk2axB/+8IcgP9y9e/fSq1evgKF8enp6QEAP\n911tbih/Iuz8hBB8vbSSuR/v59d3pnLphaEenX4NftimsrFQYWx/nRF9DrVaNI2DKqkxvhUpsdAp\n/NB8zgizilJfjqgth7AIo+cvOjHIRk00uAw/0v170A8UIarKwBZueJN2SkCJ6oQSHgW2cDAbnqTo\nujExw+NGuOoRddWIqgOIumqUpFTU3gMx9RuKEhEaSQpdQ1SXIOylqCnnokTHh9ynygH7a6B/t5aH\nFzvcgn8sMXP1iAaSYhrRdR1FUQLZgRNtdLG3XOGLtSqTLtGIOixL7tdgcwmc29Uomgq8TqGj71qL\nmjogKKIWuoZ39gtYxk9G7RzcjO+rqWfVoKsYu3MJpsiWKnMPjR47lhQswA8//MDTTz/NX//6V84/\n//w2P05y2iMFU3JsbN68GZfL1eKEBV3X2bVrV8CNqKCggNTU1EARUUZGRoiAngg/3Hqnn7++tYeK\nKi//+/A5Le5XFlfB1+tMJMYILh+qE92sZ97VCMV2o4WhexzERoCmHfQL1RqxOCqgoQ4lNtmozAw7\n9Py6vRx914/ohVsRNZWoKWko3c5B7doTpXMKiu34nIWE14NeXIhe8CN64RbU9MGYR1+BEhXqxiPc\ndejF21C7pqPEhF4oFNuNoqY+SS2fa1sR/LBN4ebRdYSH2wJTcg7vOfy5RheaBrO+NXHpUJ0+XUN/\nRkprjDRyr8PGR4r6KnT7fkxpmUG36/t348/5HOvtj4c8lyNvGzseep6RKz4OOdbkUKQoChEREW1+\nLbqu8/rrr5Obm8vcuXNJSmrlDZWcqUjBlJw8hBDs2bMnaCJLcnJyIAIdOHAgJpPpZ/vhOl1+Fv6n\ngpuuSw5Jwfr8kLtFZVuRwmXDdPp1P/Tn69eMiLLGDd1ijYpMMNyJ/M4abM4KFJ/H2CuMTUZRDxoS\neBrQt69H27YO4XKgpg/C1HsgSrdzjrhnKTQN3esDXaDarEFtD0d8Hz1utPXL0LaswfyL6zGdG9qi\nIBoc6EVbUNMyjcraZug6/FgCfZOMeaDBx3RcLjfzvo/m8uE6aUmHt6SIFp2ijqdPd9Nuhe3FChMu\n1Fs8vrkEzulstOUErbFsF1jDUROCqz61rWvRiwuxXDEh5LkayypYO/pmxhYsDXLiaeqbPdZq7tra\nWh588EH69+/Pc889d9KnzkhOSaRgStoPIQTFxcWBCHTLli0kJCQEItDMzMyAofyJ8sOdl6sSboXL\nh+lBYmF3QVG1EU12jzNaQjRNo6G+FmtdKSavC6VzD0MoFeNcorYK/4Zc9J15qGnnYho4CiW1T+B4\nE94qO3Wr83HkbcO1YzcNe4rxllXir3OgWMygKohGH6aoCGw9uxHZvzexY4aRePVFWBND06pN6BUl\n+Bb+A/OYKzANyAo9XlWMaHBgSu0fcqzEqEkitbkpQDPxWLPLhqYr/GJwy2IWdJ7DPpu2Dtf+4L8m\nzuunk54S+hPiO5iOHdoj1IRB27cZNb5bSMpZ27ERvWALlmvuanGdm375AHEXZtHz8UnH5VDURH5+\nPo8++ijTpk3jqquu6vAKcEmHIQWzI/B6vUyZMoXvvvsOu91O7969mT59OldccUVHL61dEUJQVlYW\n8MPNz88nJiaGMWPGMHbsWIYPH47Vam01ymlLmtDpgajDCjf3VBr9lGmJEG07WBXa6EGvKsHirESN\nTzEa4psiyrpq/Ku+Rd+zHdPgMZgyx6JExQS9Dmf+DioWLqX6P8vxlBygU9ZgoocNILJfbyL69CQs\npQuW+E6BqFLoOv7aehr27Me5eSc1uWuwf7eShCsv5Jw/PIitezItodvL8X38BtYJj6DEBqdfha6h\n/7QaNT0rpO2kzg1lddCva/D+XdOMzq37FH4qVRg/+uiCGbKmFtqMDi/yEkJh5mcmHr0uuN+yCVcj\n7KmCgd1Cj2lFW1Bjk0PSzaK2Cu/Hb2C975kWI3tPUSl5V99Hl5uuovP/TMAUbjsmm0YhBB988AEf\nffQRc+fOJS0trU2Pk5yxSMHsCNxuNzNmzGDixIn06NGDr7/+mgkTJrB582Z69mzdgeRMRwhBVVVV\nIALduHEj4eHhgSrckSNHYrPZQqzJjtUP19FgpP1U1fix99TXYqksRLWEoaako1iNPUrha0RbvQRt\nyxpMQ7IxDbswyJPUX+eg7J8LKZ27AN3jpcv4S0m85hdED+3fqiH3kfDXOSh64wPK3lvAgPdnEDu6\n5Z4+/8r/IDxuLOOuDzmm7dmE2qWX0bPZDGcj7KuCfsktt1Bs2q1QXKVwbdaxC+bhtFQlrQkTs7/r\nxGPXeVrco27wGu0kg1rotdfL94ACapdeIcd8n89GSemFOeviFtfiLCpl11N/xr1pOyn33EDn6y4m\nqn+fo74Gt9vN448/TkxMDH/9618JCzuyQ5TkrEAK5qlCZmYmzz33HOPHj+/opZwyCCGora0NRKDr\n1q3DYrGQlZXF+eefT1ZWFhEREYH7HqsfbmDihlnF6nUGj4QqLsC3+GPUlDTM518bFFH6650Uv/EB\n+9/5hLhfjKLbfTfTafTQE5aqq176AzumPEvWmn9hiQ/t7dPLi/Ev/hjrnU+EHNP2/Yia0N1oc2mG\n3SmoqNdJiXK12EKxaL1KQrRg1Lkn/uvdZOn3yhdh3HdxPSYldI8aRSVvH2SmtuCY5HEa+7N9Rgai\n/sCx+hq881/DPPYqTANGBp2zaVJOREQEnu2FlH7wOb5KOwPe/fMR17tr1y6mTJnCgw8+yIQJE2QK\nVtKEFMxTgfLyctLS0sjPz+8ws+bTASEE9fX1AUP5NWvWADBy5EjGjh3L6NGjiYqKapMfrtfrDbQU\ntLSfpe3MA6sNU6+MoPOXf/w1hdNeJe4Xo+j1uwcI73Vy7Me23f8MMUP70/2B20Lfh9oqvP/+O2H3\nPh267l1rUXsMQAmLDFr37nI/qqLTI9Ec0kLR6IM3vzYx6VKNTpGHP+OJ46NclcxegoxUPeTzAShz\nRhBlg+ROSsgFjl6yHUwW1K6h0aFefQDfwn+gpvbBnH01Iiz8mOd0gvE+LVy4kDfeeIPZs2fTv3/o\nXrDkrEZ6yXY0Pp+P22+/nXvuuUeK5VFQFIVOnTpx5ZVXcuWVVyKEwOVysWrVKnJycnjttdfw+XwM\nHz48YCjfqVOnIAFtasoHIwJtHo02/4E2nRu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wYkDToCQzzPScM/32U62kBM5iC3Mkma+qquL1eunq6oqJpdVqxdXj648/xnha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cgj/wK7fQ9e7zpLS9M4HHrCYQiHM5tCDkKEwjQKxX6CwWVisXmEQhGFgpJgMMCPfvQcN28O8IlP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\nSEG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T7zIyNOHqNhvUmli7WU2Eev2UyNU+9X5u6RVZFtHMW5YVfvN6L6tL4li1YukIjMcq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\nAKAGFCYAADWgMAEAqAGFCQBADX4AE4jvF/06U9QAAAAASUVORK5CYII=\n",
       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2195,16 +2178,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 67,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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AhmH2MlTZ0TTNVnxQKmo9qx+AujZA+VgE/btpmjVVpu3Y98iFIVeFqHerUWRbYS6Xa+i8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qAAAg\nAElEQVQQeVCr1aRS6XLwLawJau04KhEIeCW6uVwux+ns4OWXv0wiEeKDD97E691EJqNpAg4EEayW\nFtGEWJBsF89FJlPS1zfM5cufsLm5RldXI2N4cayVlSsuLQSDHuz2NvR6fVWAVijksdud3LixTjqd\nbnpOlbiZpPmdrjfvVB69ESq/t1ZUQ6ww3a10e6WwRiqVkp4lMbDK5XKPbWD1uQmoGsmm3w0q+4py\nuVxTye3PWtb8VhCzZpX9UberOpjL5YjFEpw58zaLizNV224WUDXqn6pER0cP169fRaVqXn0AcLk6\nCQQ2MRiUJBKCuIBarcJudwIKolFhIW0222ltHWRtLcrSUmPO8sNE7bMjyp2K91ykdGm1WpRKZdmY\nsbl09oPGm2++QzptpVRKMTj4JFarilQqiUpVnS2MRALY7U4MBgMyGWXzw60yxaM+IxmJhDCZGj8j\nwaAfq9VepRZotbZiNBpYXRV+w3DYf1P6BggLKp9vA7d7nVxui4GB0artcrmeUChURaMzGAzkcjmp\n6fZ+0+juN2rHG61Wi9lsRq/XV13H3Tw7jQLCnYBqB3cLQf0tIc01jRaBjSo/Ho9AIRepfqL3ktgT\n5Pd70Gp1aDSaim0CnM5O9u9/kvHx0ywvz1EopOjuHpC25/M5icZ+4MARUqkE8/NXOXRoNz09Tnp6\nhigWQak0c/Hi93nttd9mdVXH7/zO/1V37uJcXxswiAvB9977BI8nhbgkEJQD86jVQmA5OXmWvr4x\ntNr6Kszs7CUGBw/WMUXm5q7Q1bW76rqLxSJra3P0948gkwnfs76+yDvv/Dlra0vYbC28/PLXePLJ\nF7BYWnC7F7HZXKjVQj+0SqVCp9Ph8axiMtnqpMW3thLkcrmG/a9+v4fWVpeUWBZZO4VCoSyJ7mg4\nhoTDfnQ6Y/leCDLpRqOh3KudZnNzpalYhbB/fRuBVqvnqadexmQy8O67P0Wl0jWlE4rnXq9auH0u\ng4N7SaUSeDwbDeeuYrFUNWfl80LyUaCdVgdoqVS67NupZ2lppel1NUKlpLn4zN3t+uB25dEbodaD\nqjIQ0mq1JJPJe1IYrBXp2NrakmiKYi/Yw+ghvt/4XAVUlaIUdxrwiLS+StlzvV7/mUtu3+kDVUlP\nLBaLEoe59jpudn+SySRtbT0cP36SpaUpLl36RHoJ4/F4U8n0SCTUNNgC6O4eZHNzSfKoqoUo9iGX\nK1Eq1RQKSZTK7UlRpzOi15uJx8Ok0wnM5hbs9nZisSSnT1+63Vt03yFmKcXJRXx2mqnkiEaUYsOm\nKDF6r4v8O6maFItFLl1aQSYrolJp0Gh0uFxWgkFPnfhEIhHBYrEheKVoMRqN5HJZ0uk0MplcavKt\n/HwjKXUQMpmN5NQHBnazvDxDoVAgFPLjdDanbwA4nV3EYgGmp68wNDRat4DT68243SHp/0WKq8lk\nqvLLEBeBd4rPyji40XVEo9E7vo4dyt8O7hdKpZIkpCLS0mohJvgqKz/FYhG/P4pWa5DofOIjKc5P\nPp8bs9latW37e6GlxcX+/Qf56KOf0ta2TV8TAzRBWl2GQqHg6NHnWFq6QTjsZXTUiUqVZ3T0KTo7\nB9ncXOAHP/gm+/e/xuysin/8j//PKtqVSGOsfGfEnmqv10s63UouV+Ldd/+SyclzhMMB1GqB6uf1\nrpFMbjE8PEYthG0Z+vurq1BbW4KQw+Dg3qq/b2wsoFbricejnD37c9577y+JRDYxGo289tqvs3v3\nExQKpTL7oYjbvURnp+Dlty1eAZGIj87Ovho1vhJe73pT0Ylw2CttExVKRQErr3e9bt4QIQRbtdu2\ng5lkMo5eb24aOEQigboEW6kkKPkdO/YiGo0Cv3+TaDRSRycUEQh4mrYZCMqCatrb+8jns3i9m3Xn\nUqsouLUV58CB40xPX2l4TUI7hYXLl2fvKtEvl8slga1aSfO7OVYzefRGEBX4buZpWakweC9CGLXC\nGoJ/WFZqURH7MR+XwOpzFVDd6YNb2Vck0voqZc9v9xgPAney2Gl0HfeieCe8bCosFjvPPvsamUyS\nixdPk0wmgFJTs9ZqpZ76+2I2W4nHo6hU1Vk68fyFcm8epVJBe3s3W1tRQGjsTKcTLCxcxOudwO2e\n4/LlHyGTFUmnU9jt3Xz88eRDr/KIKjjJZLJOrv12IU5M92ORfyeYm5tjfT2DXJ7Gbu9GLt/CZrMS\nCvmwWquzgULPU+WEKCMej9LS4pIojIKAhZDtrP/8NirV/0olpEVSe3sv2WyK+fkZjEYDanW9IEol\nlEolGo2OSMRPd/dQ3XadzkAw2DiDJvpliE28D7LP6kFCvA6LxSJdx+02EO8EVDu4XxBpOkBDcaBa\nVT8RkUiEiYkpZmcnEYMeEXK5jGJRCKiczs4qA18RuZxAqXO5utFolGxurpSpsFQFaGJwptcb2Lfv\nMNeuncZiMSGXr3H27J9hMqk5evSLBIOLXLz4Q9rbezh3LsDv/d6/kBKUjSjy2WyWVCrFlStuurv3\nc+zYyzzzzJfY2spz5sybnD//FgsLk1y58jG7dx8tixdUY2rqAsPDT9TN0/Pz43R0DEkVrVgsxNzc\nJD//+V+WK/PTtLd38corv87Bgy+QyWTo7h6QmCgAXu8m6XSajo6uikBVuDfRaIi2tg7Uag1ara7c\nA5XE613FZmuc8IxEQjgc1dtUKhVGo5F4PIZeb5T6hisRDvubBmnpdIpCIU9HRycKhZytrWQVnTkS\nCaFWK6r8KqF6/DIYzAwNjfDppx+Tz+eq6ITCvRMk1ZvR0EXE42H27TvI/PxkzbkUKZWK0j1cWpqn\no6OH/v5h8vk0Gxu1VSghsLLZrMhkFm7cmLorkYhisdhQ0vxu6d63eyzxe282P1QGQiqVSqoq3W1C\nuJKBIfq/iUWBfD5/15Wwh43PTUB1Jz1UldSsyr6iZlSFRngUFiOVfV6113Ev5xeLJVAoBKqCWq3m\n2LEXKRQynDnzPkZjPed6e79wWfWt8XdnsxlMJhNbW/GK88+Xy+NCE6RGo0apVNLW1k48HkSpLBCN\n+pmYeAfIMzLyPJ2d+5HLi6ysXCAaddPdvQ+3O/zQaH+FQkHyHhOVHu9Vrr1ycaxQKB542futtz4g\nFiugUikxGlswmwXfk3i8Wu48m82SyWTqKBmxWACr1Y5SqSqrQekoFIr4fB7y+WLTBuNIJCQp/FVC\nLpfT0zPIjRvjTSffWqTTWTQafcP7LpNBqaQlGo023V8cxC0WC1qtlnQ6LWXvbhWcf1YVqkYQs5kW\niwWdTkcmk7kllbTRM/UojGk7eLwgjoXiQqrRMySK8KhU1TYc6XSa7u5d+HyrfPzxm/j9noqtMjKZ\nFPF4CKdzOyCo/F6xArW2tszQ0AgdHR2cP/8hqVSqqt9KGAsE2lZraxs9PUP8+Md/Sj4f4KmnjuJy\n7WX//ld57bV/SD4fR6FoweXay5tvTvK7v/svpD7YyndG7Ou9dm0BtbpPGu+MRgv79h3htde+QVfX\nKBMTF5ibm2Nu7hLj4x+wuDiJz7dOMhljZWWGYlFOX98ugLKA0RZu9ypTU1fJ5/OcOfM2b731Xc6d\newuPZw6z2cav/Mpvcvz436Cvby9qtZr19Vns9nYp+JLJBIU/r3cZh6O7IssvnLvfv47V2ib1uclk\nSFR0v1/oT66lz8ViYUCO0VjvFyaKELW2CpQ/se9cvF+xWGMFP9g2gJfL5ZL/lEwmI5lMlGXofU0q\nX4JkejweRS4vcfjws/T2DnDhwofIZEh0QuF+bjRVJhSxtZUglUpw5MjzFIt51tZWJIp7MpmUqq9C\n1W+Fvr5h5HI5w8NjzM5ONDmqjJaWds6dm6BYLEoiEbcbdFT2MVVKmgsB8d0r793qWLV0v5uhVmFQ\nTAjfbWAlznuisEY8Hn9gYnMPAp/bgKoRxBJ9Ja3vdvuKPgs0Cwor5dtF1aH7eR2hULxqQaxUKjl8\n+HkiEQ/RaKLhPrFYFJVK0bR6BYJXhNPpwufbYGsrJWV/1GoNGo2mKivicDjL5nIpJibeprd3jMHB\np2hr60WlMiKXKxgdfZl02lMeDAu8++6pe772ZhCraOJkIQZA91ukpNKTSCyBx2Kx+ypgUSwWGR9f\nQ6vVoNUaUan0dHTYyOfzJJPxqr6oSMSPwWCuu8ZYLFwVZIkSualUArPZVu6zSlUNrMlkHJDXZRtF\n9PbuwuNZveXkB4JqUz6fphlnXjgnA4FAqOl2EZV8bqPRKFEwH4Rc+e3ibgK2yuuopJLWNpBXfr7R\nf+9gB7eDSlU/aDxfiXNVIwn1YDCCwWDjxIlXGRnZx/j4aa5cuUA+XyhvF3pyxf6f7e+trkC53St0\ndvYzNnYEtRrGx89U9R2JC+FcTqCPCxn1AE5nF4cPP0EweJVPP/0Il2uIXbuOEwrNYbH043Ac5uc/\nn+bf/tv/IF2v+O9MJsPs7BKBgBG7vb3q72LfbEtLKxqNjm9845+wf/8LGAxtBAJBpqbG+eijn/KD\nH/wnfD43P/vZ/8tPfvKn/PSnf8YHH/yAU6e+Tz5fRKtV0tXVz7PPfpkvfOHrGI02du8+jEZTbTey\nsbFAZ+dA1d8KhTxe7xr9/cNotdpy4CusF7zeNRyODuneiP1qqVQMhUKOy9Veo8Yn2Fg0G5cFcYbt\n/ikhEJGRTCaJRsMNE3IiQqFqQYpK/ynBYHgNg8FC7Tgvjo9+v1eil4+MHKCrq5+zZ9+jWCxgNBpQ\nKJS43SuYTDaKxeZjudu9RmurC4VCwf79R5mdvVpWaNRiMBjKAid5lpeXyskr4TuFnr08a2vLDY+7\ntDSH3x8nGAxJIhG3q77XSJBC9HYyGAxkMhnJNPdu1gaNjpXJZMjn83cthHGvCoOFQqGixUMnJZgf\nF2/Rx+MsbwOiyooIcXCvpMOJAVclre9eFhIPW5iisj+qkmJ2N31eNzv3cDhe1zyrVqvp6hogkQji\n9W422Cd40+qVwIcXGkN1OgNerxuNRluuCtafu1wux25vY37+Alari7a2IWQyMBisFIsFZDI5pVKB\nvXtPsrExiUZj4eLFqTu6B7eDWpVElUp1X6qAt0JlSV2sOtwvlbqZmRnc7gS9vbvKTcgJrFYL0WgA\nnc5UlZ2KRIKYTJa6DHEiEW0oQBKPh2ltbcNgMKBQyMvvnSApK/RnVdIuqoMGjUaLUqlga+vWykhL\nS/N0dfWgViuJRIINP2MwmFhb893yWJWopGA2kysX//2gfv/7MaaI12GxWJDL5cTj8SpaY23A9jhR\nHXfwaCCbzUqKpeJ8Wtt3IgYYjTLebncAnc6AQqGgu3uAF174JTKZOKdO/YxwONDU86hSDTCdThOP\nh2lv76ZUKjE2doxsNsbUVKWVhkAfLJWKRCIhVlam+dVf/Xusry8QDvt4+eVn6OlRMz19rqx2qiGd\n9jMwcAijcYSf/OQK//pf/zspcMxms1y48CkXLrhpb98lfYuYtBB7yMbHP2Rg4CBms43WVifDw2Mc\nPfoizz//FQYG9nL06Bf52td+m1de+TqvvfZ3+fKX/xdefvlvY7W28ZWv/M/s2/c0PT0jGAxmsllB\nvGFgYHfVvUgkIsTjUTo7t1VzhesMkstly3RJoYIt0rPd7lXs9raqcUwmk+PxbGC1OstVB12FGl+S\nYHATm62Zoa/gR1h5PCEoMhAIeNFqjXXiFyIikWBDhT+x8rG1FcNmc9QZDAtfJSMY9FX1ZO/ZcxCX\nq5NPPnm3PF8rSaViOJ1d5WRoSpKNr4TX68blEnqs7HYHLlcnExPj5XORo1QqUKnUrK8v0tLiqroe\noUpVb92SyaRYWppibOxpJiYWy7TT2xeJuJnCX6UEuai8d7eBlXgsUR69co64UzRSGLwT4aTa6phc\nLn9oytr3A4/HWd4G5HJ51QNQ6QEk0uEepuz5/cL97o+6FQQKYbZOUQkgm00xNvYkV66cKw8o24jF\nGqv/VfZHCXz4Lnp7B/D5NhoGUpXIZLJsbcVQKvWS2p/oi6FSGQmH12lvH8JkasNotLCxEWV2dvam\nx7xdVNJC71Ql8X6isupQq1J3tz1jb7/9PolEkVJJhc+3icWiQqfTl53uq3nmsVioLrsoVLKS2Gz1\nnHRBSt1Wpp1oyg26ajKZLJubG+h0JppVlQIBPw6HE49n9ZbXsLa2RG/vLmw2hySfXgnRhDEcTpYn\n4jtDrVz5g6gU3gr34zmrrHhWysc/Lpz0HTyaKBQKVUq4omBDLS2uVCqhVtfPJfl8nmAwitFolp5z\ntVrLsWMv0t8/yCefvM3q6jytrdWL+GKxWKUG6Hav0tLikEyCRYr62toUGxurFfsJme+JifOMjj5B\na6uTsbHDXLr0PgqFjJdeepojR/oplVKYzR2srFyhWMxy7NjfQC538MMfXuKP//g/kM1mmZiYYm6u\nSCCQ4KOPfsjq6iyFQqHKzHhq6iKlkqpKxl3E1laCxcVJ9u8/JpmoikHYzMyntLX11qngLi5O4nB0\nSx5XIlZWpuno6K/qz8pms/j9a7S1dVfNsQqFgmx2q5xsEUQgKj0Rg8FNTCYrkUgIr1dQUPX5NtjY\nWGFqapJoNMLi4hwbG6v4fB5isQjZbIZoNCD1VtVWvZPJCE5nJ4VCsS4oEmhwkaZ0wFRqi0IhS3t7\nV5XBsLDgF8yfBUXY6r6uffsOY7O1cO7ch/h83jIlzVZVOctk0lJglctlCYf9UkAFMDr6JMHgBoGA\nFxACOKHiH2RwcKRKzKOzsxeFQpiTKnHjxjU6OnpwOFykUio2NjaA2xeJuJVkeiMJ8rtV3hPFjsRE\noqD0HLvreaJWrfB2A6t8Pl8VUD3o5OX9Rn2X5GOO9fV1MpkMTqdTypTcayWqGR5khUo8rqCkJjzs\nD0NxUOgLqp8AQfCZOn58L7lcmmvXLnH48DPStlgszMCAIA4gk8koFIplT5I8ICt7C2RxOFxYLFZm\nZq6TzxdQKhtzdbPZDPF4EJerHShw/fo5XK4+nM4ejEYryWSMSMRDd/dBLJYOUqk1VldjvPHGmwwP\nDzc85u1ANIkU6SF3IlDyoCFSScRKZTQaRa1W3/E5Xry4gNFoYnV1ms7OEfbs6QMENaVaadl4PMLA\nQLU6UjQalPxIahGPR2syjrLyeStJp5M4HB0kEgnUanXduxMIeOntHcLjWW8aoINg/Fsq5Wlr6yCT\nSbO8vMju3fULFyHzqicajeJw3JpG2AhiplTM7lYafN+NR8jt4EH0Z4ljoVqtlgJicbIUldcel0lr\nB58tRFU/sWIj9kbJ5XLpb2JCqpGfU6lUIhQKoVTq6xQBS6USHR39GI0W/tt/+w59fQN0dvaVtyGx\nBMRDer1u2ts7JSU+tVqNWq3mySef4dKlMxiNZjQaHTKZjJWVBTQatSRi09HRzfr6ClNTlzhy5CX2\n799NS4uZyUkToZCPq1d/wujol3nxxf+JH/3o3/LjH4+zvv5/8Nxzf4+hoeOMjqpZW1tmYeEKk5Pn\n6e4eYteuA4TDflZW5nnuua80TBpOTn5CZ+fuukRVOr3F2toCzz33laq/F4tFVldnePLJk3XHcrsX\nOXToRen/BRn3In6/m8HB+jHR7V5CqzWxublGPB4pU/KS5PMZpqauMjQ0zObmIiqVEqVShUKhJJfL\nEo8HyWZjrK4GytUhweMrnU4yNXUdob/Kgkajp729E7vdgUqlKgcgY+Ue2wLZbIZEIotGoyaZjN7U\n0FfwpxKSdmIiVfAqSpcFoVLkchms1voK1xNPPM25c+9x5swH9Pf3AkKlSWTFiJRGlUqF3+/FYrFW\nCSGp1Wp27z7AtWsXefHF18u9U6u0tLRgMAhBrXgu2WyWgYE9zMxcpbtb8LBKpf5/9t47SM77vPP8\ndM55Uk/OA2AADHIkCVAURUqiAle7tizb8tqyVVe3d1flqyvfbt2tt3a1Vbbr6m7rqk5bV7dryUnS\nUrItkRbFBBBEznmAyZg8nXPO98fb7zvd0z0gOARAQIVvlUrEdPfvDf327/f7Ps/3+T4JXK5Zjh59\nDQCLpZnR0Xu0t7fX1EWJdYjhcBidTieR8gddX0RipVKpyGazJBIJidDUc9z8OBSLRSwWi7ROfJqx\nKhMAYjBPq9XWnRegfv3Wem7JTyJ+bQjVxYsXiUajHDp0iD//8z/nG9/4BqVSaUMPwWeJyg09IP1Q\nHsUGqx4ZFCIltYQqHo+iUmlQqzVs2bKbkyffZmVlidZWwao2Gg1isTikha1YLEo/dLlcgc/nxmq1\nleUHesxmE273Mu3t9Rv8TkzcwelsIxwOIZOpaGzcx+zsHYJBL42NTlKpJImEi3w+j8Fgxm7fy9zc\nKDduLG/4nqTTafL5vCTre1IzmWL9lk6nkzqYry2aXg/37t1jaSmM2bwZg0FFY2MjdrsgQYjFQvT3\nb5XeWywWicdjNQt/KBSoS3bS6SSFQrFu4TLIiMejtLW1o1SqyWaz5PNir64CcrmCcNhHZ2cvcrmM\n+fl7bNu2q+41LC3N4XQKz11zczs3blyiUMhXRWkFUiJHLtfh9wc3TKiksy8/y2q1Wuq5s1FC+1lC\nDM6IhFaUNYrX8QzP8HHIZrOS3E+n00lrk7gJBMH5T6lU1v1d5HK58katdiMtEjKFQs3g4DDhsIeL\nF0+ze/chSqVildlEsVgiFPKyY8ceSYUiztkNDS0MDm7i4sUTHDz4eWQyOTMzt9m9+zlglfDt2LGP\nM2feZ3Fxio6OATo62jAa9aRSXi5dCnD+/N/T0fE8LS2f4969X/Hhh7NoNCf5zd/cDkBHRzdOZzsu\n1xIu1xzvvPN3eDyL7Nv3Kkpl7Tq6vDxDOBzmxRc/V/Pa2NglnM7+muzUwsI4Op0Zh6M6W+dyzaNQ\nqKW/C9eUoVDIE4kEkcuVTE+PE4+HylbfEWZmxmht7cRgUKPXm+jo6ECr1ZWdGrO89tpv1ax7CwtT\nKBQKDhx4CZCVXdeyKJUqgkEver2FHTv2Ewz68ftdjI+7iUajGAwW7t0bZ2BgpPydKqRMUyaTYXFR\nqG0SMla1+5tg0FejmBCVA6lUGp/Pg05nkPqNrR1jz54j/OAH/1eNkkImk6PV6igWC2QyWebmZuoa\nX3R1DTA/P83U1Djt7V2srCzQ3b1aqyaci4FCIY/D0UI+f4OZmQn6+gaZnLyL09kh1QvrdAZcLvB4\nPDidzpprMhqNVUokrVb7iQN2lUGzTCZDLBZDqVRKZSEPAnFNEBtSi2PF43GpTnoje+qPI4/isUWH\nwcrzeVrWVvg1kPy98cYbHDhwgN/6rd+iUChw8+ZNvvWtb6FQKB6LNOdhHaOyPgqQNvSPKru2HmKx\nOHJ57UIQiQQxGISJXq1Ws3XrLu7cuUo+XyCZTAAllEqVVMcmuPaoJbvbQKBaD9/S0oHLVV/alc1m\nWFq6x+bNO3A4WigUQpRKJbZuPYhWq2Fp6R6JRAydzkws5sFkslMolHA6NzE15WFqauqBrlXseyV2\nMxejKU+LLFSMHImytFKpJMkQ1nsuf/7zXxAKpeju3kmplKOx0YrBYJDkjZWLTzQaRKs11mRGo9Eg\nRmNt/VQ4HFy3jk50gtJodNLELAYKkskkiUScYFCQ/HV1DbKyMrfuda+szNPR0QdQljyY8Pk8dd+r\n15tYXvavO9ZGIBbJVhYZP0xHxsdhaS4uVOLzIzp+PcMz3A/FYlGSQa+tjRJl92Kz23pSP7EfVSaT\nQy7X1rwmSggjkSANDU0cPPh5IMfZs8dJpZLlvlICfD43er0OpVItbQIr0dOzGZNJz+joFRYWZjCZ\nzFK9TT6fl7LPO3ce5M6dyySTgjuZTqfj9de/yB/90bfp6DAQDt8jkUhis+0klYJjx27y85//f8Aq\nMWtt7aCvbwi1Ws+OHa+STKZ4//2fcPr0m4yNXcbnWyYWC3P79jlGRp6vcTyMRPy4XAts3ryj5p7d\nu3eb/v7abNPCwhjNzV14vS6mp8e4du0sFy9+yFtv/ZCVlSUmJi4TibjQ6bQMDAxz8OAX6O7u57XX\nfoe9e19ieHgfPT2by/2XcjQ2tpFOC01pK6VZwaCnbKUumFcolQrJmn1paQ6rtQG7vZHe3iFGRg5y\n5MhX+OIXf5OODkEKNzp6gXff/Xtu3rxEOBxAoRDciBOJMAaDmUQiWa4/q547hf5T1eRDgAy5XEYk\nEsTpbCuXBqzapEvvkkFTUyvpdJSZmYmaUeRy4Tqi0QBNTa0VksRVbN++j6mpUcLhENFoEKezq2Yc\nhUKJwaBneHgH4+M3CQQCLC5OMzi4vep9ZnMLt29Pr7tGrDWJADa0pqx13ovFYg/svFevoa/oICva\no38aF796DoNiXbh47LVr39OwFxPxWM706NGj6HQ6qZHp5s2b133vf/pP/wmn04nFYuE73/nOx9Y/\njI6O8q//9b9menoam80mFfw9DnzaTc9a57i1G/rHbXoBosNfbaQ6FgtXbZadzi7MZiPj47fwet1o\ntXrpx1fvRyFonVflZK2tXfh8LsnRqRL37k1jtzei1xtpbGwhl4tTKKSQyeT09o7Q1OTE53OhVBoI\nh5exWBzEYgEGBvaTyZR466337nuNa+vSxAnkSXV7/DiI9x2Q6mTWq/c5ceIqRqODpqZmikUZXV2N\ngIxw2FeuZ1idEkIhP2azlXA4zPT0BHfu3GB09BozM5N1N+DhcGBdN6dQqDbaKJPJJPMEwf5WTqFQ\nwmg0o1DI8XrdNeP4/V5UKnlVRNHhaMbnqzZKEXtc6XQGgsHahfJhYC2hfVh1Vo+LUFUe42latJ7h\ns0Glq1+92ihxvVrP1a+yH1UwGEOr1Ve9Jsqs5XI54XAAq9WBQqFgz54X0OnUXL58uqp21+t1Y7M1\nSeRu7fHy+TwjIwdIJkNcv36Onh5h3yGqKERS43A00tnZx/Xrp6rcA/v6+vjOd77L/v0W2tuLaLU6\nDIZO0uk0b711gv/6X/8Uv99Vzn7d5NKl4+zY8SIHDhzluee+yCuv/C7d3TtJpysHObkAACAASURB\nVIvcvn2Jv/mbPycYDDA/f4vbt88yM3MLl2sWn2+Zy5eP0d7eT7FYIJmME4+HiUQCjI5eJBqNk8mk\nGR+/xY0b57lw4RjHjv09Z868z9zcKHfvXiAQWEKhkDMwsIXmZievvfbbHD36dXbvfpGhoZ04nV3l\ntiYNNWQOhPqp5uZWKeMoEqtSqUQo5MfhaJLMK8RMkGBNHsNisZcbsq5u/sUg3Nate/n85/8ZBw4c\nQS4vcfHicT766G1mZ6eJRsO0tXWg0WjKweSURIoKhQLRaAibrb6yoFQSpOdNTa0YDHpUKrVkky5u\n9v1+H1arlYMHX2Jy8iZeb62ZVjgcQKWSS9cu9OOKSwohq9VBW1s758+fpKGhuW6QoPz009HRh16v\n4fr185jNVmQyeRXxMBhMBIN5fD7fOmMg3VcxoP5pDCc24rwnNrCuN5ZI0irH2iixqiSP2WxWIlbr\nHftpwWPRw8lkMr7//e/zB3/wB/d933vvvcdf/MVfcOLECZxOJ6+//jr/7t/9O/7sz/5s3c9873vf\nk/5blOOI+swn1blKXDzE3gaPqz7qQRAOx9FoajuKx+MRHA7BalWMJvT1bePcueO0tnbjcNSfqEEo\n+kwmY1VaZ73egMFgwOt1SbJBEPXi0+zefRCApqYWMpkEGk0EEI7f07OVhYVxvF4fNluc7u695HIZ\n7PYOjEYzV6/OSr1DKiESqWw2K0m4RPL3KDbcjxviNWk0mipnS7EGaHZ2luXlIC+//N8Ti/nQ63U4\nHIJ0Lxz2l3uICSiVioyN3SQSCeDxLNDS0iZtgHy+Re7evcy9e2P09m6mp0dwuopGgzU1WCKE8asJ\n1eqmXkY4HKapyYlGoyGbzWKzNTA3N0VTkxgZFbC8PE9TU3vVOE1Nrdy5c4N6EMbXfao6qrVYS0bW\nq7MS//YkkpV6pO1JmH+e4cmFuGbl8/m6NRDivxUKRV1ZUGU/qmAwhl6/uh6IJE38XDQaoq1te1kG\nVGJk5ACTk7c4e/YYBw++hF6vIxBw09s7WCX1EyGSJp1OR0/PELdvX0Gl0kgZpbWf2bRpOydOvM38\n/ARDQyPS3zs6eujqGqS3V0EiIePDD1PMzblIpzWcOnWTpaX/lYYGJ52dmzl69J9jNq8GHVUqFR0d\nPXR09HDlyvts3/45tmzZQywWJh6PEgpFcLvdeL0LrKwsUiiUypn5EnK5oizZu0VbWy8+3zxqtR6t\nVofd3oDLVeLw4S9x4MDnKJUEqb5arSKTEYxCnM6Omvvv9S7WzJ0iQiEfw8N7a+pxotEI0WikqpWG\nOGeXSiWi0SB7976AWi3M22IGUq0W5IAOh5BhslobsFobGB7eg8s1z8TEKLdvX6Wjox+TyYLRaCCX\ny5NKpVEo5ESjEYxG47oEJp1Okskky4RrtU43m82RSiVRKJS43SvY7Y1YLHa2b9/P1atnOHLki1Vt\nO1ZWlqU1S8zYi6qVbDaLRqNh8+YdfPTRBwwNrZ8IEDE4uJWf//xH/PZv/3colaryuShQqzVlqX4j\nd+/O0NR0/16LooLAaDRKvUZFg6H19lnrQSRWInGNRCJS37F6v5v7SezWjiXKxXU63YbWObEuPJfL\nEY8LLXnEOsnKYz4teGwFRg9Cbv76r/+aP/zDP5QyWH/6p3/Kt771rfsSqkoYjUYSicRjqwX4pKSt\nsj5KoVBID/Rn8cCs1zMkFkvR1FSbfYjHY3R1mcpGEwVkMhk2m4POzh6mpyfZu/fgumP7fB7MZkvN\nItva2oHbvVxFqFyuZTSaVV240M+jmVBomYaGoXIxcomenmHu3bvDwsIYW7Z8AYPBRDqdprm5j4WF\nG4yPj7N1q1APVElgRQvZp6nQ8ZNCJOkqlYp8Pi9Nov/hP3yPZFJFe/sgd+++j9lswGgUFpdKQwqv\n182NG+fw+RbZs+cFOjsHMJlMiHVQKyvzvPrqP2d5eZ6pqVssLEyzc+cB4vEI/f1b6p5TJBJicLB2\nkRfJkhBtbEGpVKFUqhgc3MqHH75NNBqTdOEymQyvd5nduw9XjdDQ0EIiESOTSdUtcJbLdQSD4YdK\nqOqhss6q8r5/0jqrx5GhWotf19/CMzwciI65Yhap3rMs2obXe03caGu12nKwJ4fFImyWxUCX+BsX\najfD2GwNFItF8vkcGo2Wbdv2cufOFS5cOM6+fUfKTcib6gbORNIkkwnW2lu37uLatTMcPvyKVB+y\nFsPDe7h27Qxtbd2SGmNxcY5EIsqtWxfo6Ojh0KEWWlsLXLx4mXTaxuxsmP7+XRiNVi5c+CUdHf10\ndQ1Lm/ZisciNGx8Sj6c4fPjL5fVsdTOdTMY5derv+eY3/6eahueLi1MolUqOHq01qRgfvyyZVAg2\n8jIUCiWLi1Nld7/aza3P55LqmSoRDHpRKjVVta9iPY7g/Gcjl8tKZFicKyKRACqVaCpRkup48/kc\n2WyWYNBX43Iol8tpa+sB5ORyWcJhD8eOTdDTs4WBgU0YjQay2RzLywvodMZ164h8Pi8Wi23Na+L8\nK5BBl2ueTZu2USwWaWvrIhYLc/HiSV544RWp3tbvX6Gvr9qKXqxRFt2J0+k0JpOFQKC+rLwS+XwB\nvV5HPJ7AZmuSzkUkeUajGbfbQzAYxG6vdckVIV53PcOJjdYyiYqKSoOItcSqUCg8kPz7Qcb6JFCp\nVFKZSCqVIpVKbbgl0GeJxxY6/Tf/5t/Q2NjIc889x8mT9Ruw3r17l5GR1R/89u3b8Xg8hEKhBzqG\noMtNAI+/R9T9UK8+SqfTfWx91OO+BuH8aqUTxWKJaDSMVquTpB6ie+KmTdtZWbmHUrn+jzAUCtQt\n+nQ6O/F6l6pS0IuLs5JTjgiHo5lCIUI2m5L+ZjLZsVqbKJVkzMxcx2i0EYuFaG/fTCqV5Y03flnT\nyFns2/W469I+S4iSOqPRyOxsgL6+58lkMvj9C/T2dkgSv1gsjM1mZ2zsBlevnmB4eITGxhZ6eoaq\nxhMc/oSsVltbF0ePfgWns43Tp9/F43HX7U0ljB+pa7MuQpSViDCZrFitVmIxoX4ukYjj8bjJ53M1\nvWnkcjk2m32NRHCVlDyKOqqPe34q+0B90jqrz0Ly9wzPsB5EV798Pk+xWKybNRDlfPU2U+JrIhET\nDClW1wsxwCh+NhwOodXqUCpV5ayVSnLLGx7eQ1NTEx9++DZqtRa9Xl9X6ifWVOVyOXy+FfbseQGL\nxVRu+lu9xokErKGhkZ6eIW7cOEM2m+HcuWOMjV2kp2eAr3/993E4Gjly5Ct85Stf59VXj9DSEqVU\nMvLmm/9ALOZh9+6XSSbTfPTRP3L27C8YHT3P6dP/SDKZ49ChL9ZkForFIteufUBHx5YaMlUsFpmY\nuMzQUK0xz/LyDGq1AYejsUw482WJJbjdc7S399Z8JhBwo1SqqzJoIny+5fv0mHLT2NhaXvuLpFJJ\naQ4LBLzlhr4gmlXI5YpyyUChXPOmrlsfFQp5aWvr5uDBlzl48EUCgSWOH3+LxcV51Go16XQCh6OJ\nZDJRrrGplqkFg766/asECNLEXC5NY6NTGmNoaDs6nY7r1y8BlC3fQzQ31ypyAKnVjs/npqenj3g8\nytzcvXWOKWBubort2/cyOXlLOhehfYgRhUJedlE2cvfu/eu810rvRIJbWcsUi8U2JLm7n237epK/\nBxlLtEevZwH/cRANKTQaDWazudyDLPnE7OEfFI+FUP3FX/wFs7OzrKys8N3vfpevfOUr3LtX+2DG\n4/GqGiizWTBBiMViD3Qcg8EgkZbHgfsRno+rj3oSIfwQVid9kZAEAkIEy2AwSj1HRMjlSuz2xnUN\nJkDQKddr0ChY2qoIBARNcTabIRj00N7eXfW+piYnhUKcdHqVUJnNdjKZJAMDe5mZuYRGoytHLFux\nWJq4e3cFv1/YRIuRlCf1vj8OvPPOO4TDcPjw1ygU0iQSEZqbGygU8uTzOZLJOFNTd3G75zhy5MtY\nrQ3IZHL0ekN5BGEDIkj3qknT4OA2Nm3aht/vrtsxvtKQoh6SyTjFYrbGOVAwLllCq9ViMBjxeJYx\nm61So+DKRbqhobmuRh5Arzfi90elCPqnxSchI4+qzurT4hmheoYHRS6XK7vA5erWRoEg0xGlfmtr\nNETXV5GICWu0uuq1ymh7JBLCbLZUOP5VZ5OGh/dQKOTw+bw1G0qRYIikaXl5AavVhlarY8uWPcTj\nwZp+QZUEbGhoK6lUkjff/FvUajnPPfdluroG6O8fxGZrYnr6Ju3tA7z++nd45ZV/wdGjg9hszfzs\nZz/lP/7H3yWbjdHZ2YfP5+P06fdYXJxHJsuztDRFOl29N7l58ySlkorNm3fX3M+pqRvodNa60r3Z\n2VF6erZQKiE1TpbJZEQiATKZDI2NtbJrl2uOxsb6xMHvd9X9DAjZq4aG5nKDVS1ara7s1JbE613B\nahWImPA9llCrVUCJYNCL3d6MVqstBzWrTSNCIb9EiKzWBg4ffoVt2/YwOXmdM2eO4fe7y26EBmQy\nanpHCYYVzTXnK8Lnc2OzCb2nDAYhW5hIxBke3ks47GFmZgKPx43NZv/YTI/Hs0xrazfbtu3m9u1L\n6xKZYDBAOh1j167DyOWlNc+ZQKwMBgNWq4PJSRdut/sTN/VdazgRjUY3bBIhSgrNZjP5fJ5wOLzh\nViBiVs9sNlMoFAiHw5LZxINAvA9iVk6j0WAyme5Ts/Zk4rHsMPft24fBYEClUvHtb3+bw4cP86tf\n/armfUajkWg0Kv07EokAlOVGH49KQvVZZagqG8IKWmI1er1ekjN8EjzKa6g3diKRQCZTlzNqGbLZ\nLHK5glwuVSe9LiAY9NLS0o7Pt0I0Gql7rEgkUBOBE9HU1MrKyhIAi4vzOByNVf0gAByOBmSyEqlU\nQPqbUqlCrdZgsbSg1apxu5dJJqNoNBYMBjt+f4qbN28+0QT2ceLHP/4nlEobJpONWMyH3W7CbneQ\nSqVZXp4nGAyRyyV5/vkvodcby459tdbosVi0rvGETKZg27Y9TExcZ2GhOlgSDvvXafosGEcEAr66\n2av29l683pWqJo7d3QNSo+BEIlkuHi7R2OgkGPRWjL1KGIT/10rzyWeBSrcknU6wKQ6Hw6RSqZpF\n9bPIUD0jV89QD6LUT2y4WW/zWSgUKrIk1euKmJ2qrLmKxYQMlSjFXpsxikRCmEzWctCkFoVCAZvN\nQXNzI5cunZYCJeLaK8qHAFyuRVpaBEm5Uqlgz57DjI1dIR6PSde31tSiVIJo1EtPz7CUVZPJ5Gzf\nvg+PZ5mlpXuo1WpefvmrOJ09fPOb/4zNmzcRDmd5443/hxs3ztPTs4U//MP/jd/4jf+RtrYhvN4V\njh9/g5Mn/567d89z9uxbBAI+9u9/qaZXVSIRZWbmFtu27au5dp9vmXQ6RUdHL4VCnlIJyflwfn6M\nlpauuuud17uM01nbokTYSPurmtpWvhaPR6uaK4uSeY1GSzDoQ683lOuSM9IeRyaTSZbncrkw7wlS\nrrTUDLpeQ1+ns4MXX/waBoOe6ek7LC3NAaDRaDEYDJRKwh4lHo8Ti4XXrdcV7pNbMrQQ51693oBS\nqWTLlt2Mjl5henqMxsZ6LoKrEBsXO50ddHb2YbfbmZubIpVK1szdc3NTtLf3IpfLGRzcxtTUaM14\nomW71drJ5OTsp2rqq9PpsFgsyOXyBzKcWA8KhUIyiAA+VcDvfi5+90OhUKiZW2Qy2VO3d3uiznZ4\neJgbN1aLy2/evElzczM2W30Z0VoYDAapsE3EoyZV4vhr5WXCD1j/1GhAS6USXm8IQducR6VSotFo\nUKmURKMRDAYzsViE+flZbty4w3vvvccPfvAT/uZv/om5uRXs9gYmJ+9UjQfC4qhSqaocnSrR0tKB\n378CCHbY7e09Ne+Ry+U0NbUQjS5W/d1oNFMsytHrjWSzsbL2No7T2UcmU+TUqesP6e483ZiammJ+\nPsLQ0CEAfL452tra0Ol0GI0Gbt26QqmUY+vWA9KEHI3Wd+yLx8NYLPWIVojm5nb273+RO3eu4PGs\nSK8JboG1hCkej3Lu3Cn+6q9+wq9+dZwf/ODH/PCHf8/f/d0bHDv2NvF4BINBz8rKUrkhZJjm5nZU\nKhUGgx6NRk0uJ/SEMhrNZLMpksl4zXGi0RB37owxM3N/ucaD4tMQHlETbzabMZlMkuQikUhUbQyf\nhjnjGX79IfbmE+U4a1Hp3CdugCo3dfX6UYVCgpOsWNO6NgMVj4fQ6YwolSpkMnmV3EskYYlEhMOH\nX0ahKHH9+gWgtoYrl8sRCnlpbe2Selg5HE309PRx9erZcqPZaoOKiYlRdDoFu3Y9x507F8v1VsJr\narWGoaER7t69QKkk/HvXrufJZtN885vfYfPmTchkeqanr3LlygecP/9LotEA3d2DHDjwMq+++rv0\n9IwwNnaNW7eukU5HuHTpPe7cuYjHMy8ZI928+RFdXVvqzr/T09fp6dmKTEa5Jk2Q+hWLRVZW5ujq\nGqj5TDweIZvNVBEjEYGAC4PBilpd+90Kr1nqmiDkchmgVDaNWnVeFLdb0WiQxsZVq3W5XCbVxHg8\ny5RKMlSq2mPK5XKs1iZ27z6A17vEyZPvEotFykREIEV+vwej0YCgUKi/vxP7Va4dW6fT0dLSztDQ\nNq5fP19lxFQPy8uLWK126dnfunU3i4vTKJWKsoQvUTawyOB2L9LdLUjkhWbUhbqKDQCLxcaZM9ck\n8xQxuFa5n3wQMiEqIERpeSQSIZlMbohYwarMMZPJEIlENuQuKI5jMpkwGo2Si9/9SFq9hr7w9AX6\nHjmhikQivPfee9LE/KMf/YjTp0/z6quv1rz329/+Nn/5l3/J2NgYoVCI733ve/z+7//+Ax9rbYbq\ncUCM4FXWRz1NjT4riWAwGMVgMKHVaqrqjEKhAD5fiKtXl1hYMJPN9mOxPE9f3+cxGrvxehu5fn2Z\nmZk7ZY3w6vjBYK27WyUcjiYKhSw+n6e8Ka8vS2hp6SCR8FAsCqntUgl0OjPRaBCDoYHGxmaKxRzB\noJ+Ghk7M5kbGx1c+06xEJUql0mcm8frpT98kGs3S1SXUJ0ajy1L3+NHRq0SjHg4d+gImk4lCoUA8\nHicY9GIyVRMnUcJan1CFsVhsWK0N7NhxkGvXzpX7kwkLutVavTmIRIL85Cdv8v77fvz+TjSaV1lY\nsOF2qygU2lhcVHDq1DXkcjUrK4t4PCtr5BkylEoVer2h3CyyiF6vZ3FxnmKxIN3rcDjA2bPHygv/\nk6XHFhcvMcoYi8WIRqOS49mjxLMM1TN8HETHyo+T+ontD6Ba+bBeP6pwOI5KpaFYLNbdrEejYcxm\nG0qlArm8OuOVy+WIxQSjGr3eyJ49L5BMRrh161qVsQWAx+PCbDYjlwsZJvHvQ0MjyOU5xsZuA1Q4\nC0aYnx9n+/aDDAxsIZNJsbx8T6ozLRYLNDe3YbM1Mz4u1OE0N7fS2jqA17vA7/7u/8ymTdsoFDR4\nPMuMjl7inXf+lp///Ptcu/YRd+6c5e7dc/T1bee73/3f+fznf4eurhHyeZiYuMUHH/yY//bf/k8m\nJ++gUAiufNlsWrr2QMBFJBKht3eoLLFcJYIezzxarRGrtXatXVm5R2NjW90NusezKDnxrYXP58Ju\nry+r8/lc2GyNyOUyyQQpm82STqekDFSt1XqpTEJiUn1UvQx9KOSjpaWT55//Ik5nG6dOvcvc3DQg\nEIhEIobF4iivVYkyEV19RrLZDMlkrKpNSyXkcjktLe2YzSamp8eqbNLXwuVaoqWlXXp2LBY7ra3t\n3L17W5LwyWQwOTmOXm+okMjDwMAw09O1WSqAiYm7ZLMyFhdXpIyOKLsTMzqftJZJJFYbrWUSHf5U\nKhUmk6ncQHnjtu0g/LbMZjMGg0FyBaw3lpgBF/G0BhUfOaHK5XL823/7b2lqaqKxsZHvf//7vPnm\nm/T397OwsIDJZGJpSZB8vfLKK/zJn/wJL774It3d3fT19fHv//2/f+BjPa4aKjFKJi4Yon70YcvL\nHqXkr1gsSn1FQCCC6XQena46k+T3uzlz5gJjYwH8/gwymRqt1oReb0Wh0BKN+lGrI3g8fs6cmeK/\n/JcfcufOTWkhEAwp1idUINS/3Lp1DYej1rFJRHOzk1IpSjqdkiKLRqOVVCqGw+Ekn49jsTgYG7uJ\n3d6GSqUiGoXjx48/hLu1cVRKQMXo0aP6TuuNm0wmuXJlFpOpgcbGjrL+3UtnZzeLi/dYXp6ioaEJ\nu71Bcg/S6/VEIiHUai2p1OqCLhhSVPeqEiFY6wrfs9PZQVdXH5cvn6JUKhKJhLDbVwuI4/E4f/3X\nb+B22+npeZGGhu0MDDxHa2sTWm2Y9vYhdu36Kn19XyUabWZiYhSPZ2WdJo9I593a2kkg4JEidPF4\nnIsXP2LLlhE2b96F1xvecOSuEg97shcjp2KD3Ww2K21mH+WzsipxerKI5jN89qjsOXU/qd9asiWu\nWWKgbi0REzbBGUSr67W/I8H0II3VapPkY+LjKdZbxWIhKXujVCrZt+8Iy8tTLCzMVq2/bvcyDQ0t\n0kax8jkfGTnIvXu3SSRi0jncuXOV7u4BNBodarWakZH9jI9fJZtNlzNxgpxwx44DLC/PEggIJjjD\nwztJpdIkEiFee+1bDAz0lZ3xcigUcmKxLCdPvsv4+A0GBnayY8fzKBRKtFodHR09jIwc5IUXvsbO\nnUfRaCzs2fMqyWSW8fFbfPDBT3n33R9x5swvef/9H6PTWXC7V4jHo1VEdW5ujPb2/rrfpcu1QEtL\nrdwPIBDw0NzcWvc1IctTn1AFgx4sFoeUnVSpVJKlt8/nBhRVTZgriZVQX9WETif0Wlo1nhC+H6Fn\npXDcoaERDh9+iampm1y+fIZCIV+2Y2+WzL3y+RzxeEKSfwvmSNb77sU8Hjfbtu0mk4nj9brKWc9E\nVZ2tkOH0VBEqgE2bRnC754hGQ8hkQm1ZIOCio6On3I9LyDR2dPRSLOZYXp6vOnYyGWd+foI9e44y\nNeUmlUpJGR2TySR9fiMkptIk4pPWMlVmiSqVFDqdjmQyKZkqbQQqlUoaSyRplQZN60n+njZS9cgJ\nVUNDA5cuXSIajRIKhTh37hwvvSTYfXZ2dhKLxWhvX7XN/uM//mPcbjeRSIS//Mu//ESe+waDQXL5\ng4dPSCo3x6IzkdBj4JPXR30WqGxoK6bpRSKYzWYpFKoLgOPxKKOjy0AvW7e+hFarYXz8Q1yue0xO\nXmBi4kNkMjhw4Df56lf/F7ZseY47dxL84hdj/PCHP2Fq6m65fur+PReam9txuxdoba1nqy3AZLKU\n5YfestOgCqvVQT6fxmBwEI972LJlLzJZlkwmi8FgpVTScvny2EO5d58UYio/l8tJElCTySRtVEQy\n/rCx9jn86KOPWFmJ4XQOoVJpCAQWsVgMFIsFbt8+z65dL5DNZqtIr1hX4HS2StnGVCpFMOjHYKh1\niUom45RKMnS61ejcli07UShkXLt2HplMIb2Wz+f56U//lkCggS1bXkOpFGork8k5+vra2bnzNWZm\nzpHLZVAoVDidI4TDGiYnb9PSsv7zAdDS0k4sFsJoNCKTybh69Sx2ewNtbT0oFHKKRdUDG9x8FhCL\ncdVqNUqlklwuRzgc/lQSjnqoNyc+DfPXMzw+iHVT69koVzbwXetGJvb1q0fEotEok5Mz+HzuuiqO\nQMCP2VxZrytkNirrrSKRUJVrrEqlYc+eI8zO3sHjcVWMtYLD0VI2UlrdC5RKJTQaLZs3b+PWrYsU\ni0V8PjexWJCuriFAMKhobnbS0tLB7dvnJUMFpVKFVqtj06bd3LhxpkzWlOza9TyTkzewWCzs2/cF\nmpubMRh0+P0rNDRY+MY3/iXbtr3AxMQNTpz4KS5XtfzY45nnxo1THDr0JbZu3cWuXc/zwgtf48tf\n/gOee+51TKZGSiUVOp2GO3cucP78O7zzzt9x4sSbnD79DmNjNymVini9blKp1aCy0CQ4SktLLWlK\npRIkk4m6UsB8Pk8sFl43yxMK+aXvQLQgl8kEgptIRHA4mkmnU1VGEsJ7ZESjofIxSyiVQjAMBNOI\nWCxKMhmrauhrtTZw5MhXKJVyfPTRO/j9bqkmW+wdpdNpy7biSTyelY/dc/h8K7S2drF79/OMjd0o\nW/NrJLVOoVDA7V7BbLaiUlUHBbRaPb29Q4yOCuUpsViEZDJKT8+Q1McqHheayQ8MDDM1dafq2OPj\nt2hv78ZksiCTWbl3b056TalUSj2d7pfR+ThspJapnsxQJFYWiwWNRkMikSAWi23I4KmSpGm1Wmks\ncY9UeexPmqF7UvD0nfF9YDQaH0mGar36qKfFfltcjFKplKQZFycx8fwrnZcA0ukUt27NIpf3Y7N1\n09DQSWfnbvr7D3PhwhuEQkts2fIqDscgZrMDhULJwYPfwGyOEYkkSSZ7+NGPPuD8+ZP3sTcVYLM1\n4nYv1cgLKiOd2WyGlpZWotF5lEqFFPHS600Ui3KJ4JpMJiYmbtLc3ItCoWVuLiS5/T0OFIvFKot8\noX5MK5Fvg8Eg3XvRoedhuc/Vw7Fjl8lmc7S1DQIQDM7S2urk8uVTDA5uQ6GQo9MZ1rhsCZkohUIp\nbaYUCgV+vwuNRl9jgxsKBeqaTuzceZjZ2XGUShVTU3e4dOks//k//x+MjaVoadlEIrFEJOJDLs9i\nNudxODqx2dqwWltYWLhTPq4Km20r8/N+TKZaMlcJi8VOqSQ0CFxcXCCfT7Nt2z4ymUxZGqIgHA5/\n2lv6yOUIooTKZDJV2dE+7GflaZi7nuHxQ+yhlsvl1g0Wik3p62WuZDKZZFKxFplMBpPJyvj4Vc6f\nPyHJgoFyRD0oufsKY60GeMR6q0gkKDWaFftUORwNjIzs5/r1c0SjEcLhEIVCQTJTqsx0ieqM/v4t\naLUq7t69zvT0Xfr6hPoXkQjKZDKGh3fh87lZWppFo1m9F93d/Wg0eiYmmXyuCQAAIABJREFUrgJg\ntTro79/O1asnGBzcRmfnZvr6NqNS6VleXuDy5ePkcmE+97lv0No6xI0b5zl+/L8xPz/G5ORVrl8/\nyc6dn6sredfrjfh88zz//FcZGTnCkSP/jNde+wM+//lvsn37IbLZFHZ7M+Gwi7t3L3LixM95++0f\nceLEW3zwwT+STudZWpojGPRXOe2Jcr96G9dAwIXRaK0b0BbIVhSTySLZtVciHPbhcDSj0+mRyeRS\nALdUKpJOC2ZdFoutQgqIlOHy+z1oNNoaF1e1Ws2+fS9iNltYWJghHI5InxUIsFKqq/V4FjGZbFXX\nWolCoUAo5Ke5ubX8vQ1x9eo5aX0WeyHNzU3T2OisO9/39w8TjQbxeFzMz8/S0tKOXC6X1AY6neCG\naLc3k8nEWV4WXJBjsQhu9wKbNgnye7u9ibt3l0inV5UgoutlvYzOJ8UnqWVar44JHq5te+VYGo1G\n8j1YO9YzQvUZQ6/XVxGqT5OhEj3571cf9aidBD/t+JUZNVFfLqbl104Qwg9amDwLhQJjY9NAD6WS\nXDKUyOUyzM/fpL9/LzKZnEjEX5WVkMsVvPjiH5HNztPSspXW1q/jchl4440f3Pc8AwEvra1t+P1e\n6bwLhQKZTFaKdGo0Gjo6uonHq62xDQYz8XgEk6mBSGSFpqYOMpkkpZIaKJBMqjhx4sSG7+GDorLX\nmEwmuy/hlsvlKJVKLBYLCoVCmpw2mk5fDy6Xi8lJD1ZrCw6HIPlIJJZJJhPo9Rr6+4fLDnxr65sC\nGAyrBEmMLOXzWex2u2SDK0osYrFQXbIj1OPpOXbsPD/72U1+/OMzXLw4SSqVJRpdIRyeYG7un0il\nbtDW1ivdq66unfh8k6TTwmZLq7WTydgJBLw1x1gLm60Bj2eFycmbbN++D61WVyaxWlQqLdPT8w89\n4/OwUbmAi4t85bPyaTTta8d/hmeoRKXUT5yn1kJs0luvrkoMgtUzYxIDA01Nnbz44lcxm82cPPk2\nk5NjUtAvnU5iMq3OR3K5XFoPhEblBZLJqGQmINZeyOUKnM4O+vuHuHz5NCsrC9hsjgpCUJ3pEoni\nyMh+Zmbu4PEs0NzcLQW+xHNXqVQMDGxlfPwKxWL1723HjgPMzY0RjQp9MgcHtwEqJiausXv3c5RK\nco4c+SINDa0kkyFu3rzET3/6f5PNZhgc3EEmA7/85d/y0Uc/p62tf9364fHxS+j1FtraOikU8pLU\nT63WYrE0ks2m+Nznvs7evS9z9OjrfOlLv8vLL/8Ltm7dRz6fwuGw4XbPcv36R7zzzo/54IN/4Ny5\nY1y5crrsaFhbZyzUSK3fm0qrNa7biiQcDtLQ0CitG2IAMZVK4XItYzLZpc+tSgEFRCJhGhtbqrI8\nlcTKZLKzdetObt++wMzMxJojy8okqkBjo5NUKk0qlazZqAu1dSbJTXhoaASVSs7duzcB4TvX6/WE\nQj7s9qa6Na1KpZLNm7dx9+51VlZma8xARBm6Tqejq2uQ27evkMtlmZi4TWdnn3RshUJJqWRibm61\n7czapr6VGZ1odGPtPz6ulkn83X4ciXmYtu0isRL31GtJ2tO4Rv1aESqj0Vgl+dsIKrM56XRaKhx/\nmuy362XU1us6Lf6gotHVZotLSwtEIjaMxkaSyTg6naHcnf00JpOVbdtewensZ3z8LAZDtaV9R8cg\nTmcn8/PHKRZldHV9jbGxJOfOfbju+Xq9LpqbnXg8y1J38kqnQfG8W1vbyWSCVXa6JpONeDyMydRI\nJOLBZLJgMJiJRsNAAYXCzrVrkw/pzlajUkK5kV5jlbUzlT2KPs1muRJvv/0u4XARjUaP1dpCJpMk\nHl9GJsuyc+dhQDCHWEuootFQ3Qa9iUSMhobmciRQQy4naNcDAW9dR6pEIsb169OEQka8Xj8qlZkt\nW15j27avUSzKaWs7gMnUx8DAJnS61ai0VmumoaGDlRXhe0unk5jNndy4MfGx98XhaOLu3esYjfqK\nDYoQwXQ4mohG05864/NZEJK1dVZid/qN1FnVO/+ncfF6hocPsd+UKPWrt16k0+mafoQiRJOK9bJa\n0WgSrVZwvx0e3sXhwy/jck1z8uR7pNMpUqlYTXCmVCpJQcBoNIxOJ9Q4CTVVhapanf7+YSwWM1eu\nnKWlpa2itmt1ba9sIiyY2hiIx2PS5l509QPI5ws4nR2YzXbGx69VnZfRaKK3d5hbt05Lf9u9+zCz\ns2MkEhH27DnKwsIE+/Ydoa1tgK6uXszmRq5efZfx8bO0tzt5/fXv8PLLv4PP5+GDD/6OqanrVXOS\nz7fM4uIkIyOHSKczNRnD+fkxLJaGGoWA0PTYiE5n5IUXvsz+/S/z0kv/nC996XfYt+9F2to6iUb9\nZDIxLlx4j7ff/gmnT7/LzZtXWF5ewOtdXrd+SugH6EClqu0RlEzGyWZzVRJyoc5Ig06nIxj0lF15\nq9c48d6L7oBqtaZcH5Wvqo8KBDz09W1m//4XuXdvlNHRq1XH93rd2GwONBoNRqMBhUJZY3Hu9a7U\n9LDatet5FhampKCuz+fBZDLQ1NSCTCYjk8nUGGh0dQ2QSESJxSJ1+2yCQKwGB4eRyfJMTNxlcXGG\n3t7NVJJEu72Zu3dXXR7XEpvKjI5arS7bxm9MdrdeLVMliXsQPEzbdtFBtJKkZTKZp3JNejoYwgNi\nrSnFJ8nw1Mvm6PX6utmctZ97UlCZJYH7Ow6uvSbBylZDLBZhdjaB1doNQDKZQKfTMzd3A8jR2ytY\nb3d07CSdDpNK1UqohodfJp1exOcbxWZz0tn5VU6cuMPSUn3b6kDAzeDgdtzuJXI54d5rNOqaDI/R\naMJk0hMMrlpym0w2EokINpuTeNyD2dxQJjZG5HItSqWB69dnHqrsb20tmlKp3HCvMajuUSRulh9G\n89crV6aRy7Vl+aMSt/seyWSA3bufk7KO0WhIks+IiMUi0gItHF9GOi1E+gQXI5l0zTqdjlgsglKp\nqtHL/+pXv2RpKU9b2wiZjBqz2UpT0xYaG3sxGm0sLNwmn/fR07O95txbWobx+aYpFgvE42Ha2npZ\nWRE6298PDQ1NzM5OMDCwreY1pVJFLidMefWyg0/Kb/l+hE1cXMVo40bqrJ4RqmeoB1GRIa5/9QiT\nuImrJwUT+1Gp1eqaZ1HMaqVS2aoG32azlcOHX8ViMXPhwjG8XleVK6wYrRbPJRIJYTRayuQoi0pV\nO+du2bKbUMhLLFZdTy2eR2XWLZfLkculaG52Mj09hkq1GnQslQTHOI1GzY4d+1hYmCQSCVYda2Bg\nK9FojOPHf8HFi8e5efMcuVyOt976IZlMiu3bD3P79ll27nyOXC5Pf/8QX/rSv0ShEKRyLS2ddHf3\nc/jwq2zZchiXa5n33/87xsYuEg77uXbtOFu2HEKt1iKTrdYridcyO3ub/v6tNd8FwOLiFM3N7VXf\no1wux2Kxo9MZ6O7ezNGjX+ELX/gNXnrpa/T3b0ahKDAzc5tr184xOnqZq1fPsbBwj2w2U74nJfx+\nF62tbTVSPxDUJpX1bZWQyeTE41Gam1splYplA5LVeVdoIeGv6i8lZjDE+qhAwI3D0YLZbOP557+I\nz7fClStnpXXH63XhcIhkScjwGI3GKotzv99VU4+r1xsYHt7NjRsXyOVyrKwsSWYdpVIJg8FQNtBI\nVgWxDAaLtDauB7Ev1a1bl+ju7qdUkpFMpiRJokqlJp83Mj+/IN2H+zX1rZTdbSQ7VC/zFY/HN7QG\nPAzbdlFqKJI0s9m8rqvok45fO0L1STNUYs3Lg2Rz1uJRf+EPQgjFzb34Q/+kWRIRkYhgZTs1tYBW\n24dcLpAwQfOcJBCYZmjoaNWYZnMXodC9mh9Pe3s/Ol0DicQkMlmahoYelMph3nrrAykKA1AslvB6\n3eRyOZqaWjEY9MTj0ftGSpqbW/D756R/KxQKAoE5xsdPMzt7i6Wl20QiHtra+gAl0agHq3Unp06d\nuu/1P+i9zuVyNU2bP450PygqN8t6vV7qBbGRLMTk5CSLiyFMpgZMphbGxq5x/fqvMBrNVfKEeDxa\nh1CFaxrthkKBKilO5Tlns1mczjbExoupVIorV85w48YKVutWNBojjY2tRKNhbLZuAJzOYUKhObTa\nEnp9bf2V0WhHq9UzO3sHjUZDS0s7yaQSl8t33+sOBsPodBo0Gl3d76RUEhr8VmZ81Gq1lB18EBL7\nqDNUDzK+aFW8kTqrJ4U4PsOTg0qp33q1UaLyobJJb+XnRcc3UaZX+ZqY1YpGk1U9j8T1a/v2fWzf\nvpfFxRnm5qak44mbRXG4SCSE2Wwt97BS1AQLi8UCkUiIwcEtrKzck0wqxPNZu64vLs5hMlnYu/cF\nVlZmCIdXAzaiNblgfGCgv3+Y27fPSq/H4zEuXDhONhtjfn4Uu91Ob+8A27btplCADz98g9HRC2Qy\neS5ffp+DB1/G7V4kEFjm6NHXiUSinDnzC1KpBBqNmvb2bvbv/zw7dryE1+vjr/7qz8jnC9jtjgo3\nxdVrXVgYR63W0dRU3/10eXmG9vbeuq+53Qs0Na1KDLVaPU5nF1u37mdgYDt79x5h9+7nMJkMLC1N\n8sEH/8CpU+9w8+Zl/H4PjY31zSqCQU+VoUT1d1MkHg/T1NSCRqNFq9VVkPgcoZAfrVZXMXcLMk2Z\nDLRaLclkQrLAF8/58OFXSKdjXLjwUdkB0FenWa+sbHFuJJVKEI2Gy6S8et/S2dmH2WxmdPQ6Xu8i\nra3dqyOU12bBJl1GIpEo/y+K09nO1NR43WsW4XR24PEsYre3YDAIe4ZKSaLN1szt23N1DRrWolJ2\np1AoNpwdqsx8yeVyCoXChjNf9WzbH8TRWPz9V/6O15t/ngb82hGqB8lQVWYYUqmUVPPyNPWPWru5\nF3W/G8mSFAoFEokMwWCAlZV8VS1PKhXD4xmlu3sfavWqpXqpVEKpFJqTulzTVeMpFAo6O0dIp4Mo\nFH6KxTy9vYdxu42cOvWhFK3MZNJ4PC5aWtpQq9U0NbXgdi/f91xbWtpIJIQMVTTq4+bNd1Aqi1gs\nHfT07CSbDREMTrC8PIXd3koiEUKptHP9+vR9x70f1mYvRfnCo2raLG6WzWYzRqNxQ1mId955n0RC\njUIhkNZkMoBGE2f37sPSe6LRMAqFpmqDIzj2yatq40CQBhqNtXVS0WgQnc6ASqVGqxU62kciAX7y\nk59iMIwgk2lQqbRYrUZKJbMU6ZTL5Wg0KqB2ISgWi3g8cySTKc6e/QkLC+cZGzvG8vJtbt2arnKx\nWovZ2Qna2rrL1r21UKkM+P2rm6bKRUWn00kktl5/lCcVa+us4vH4x0pHn8bo3zM8OgjGP9l1e06t\nJUxrUWlSsba5r7ieyGQy0ul8lVSs0mxCpdIxPLwDv3+F8+c/IpFIlOdYOaJEKhYLYzZbKBYLNVky\nYZ7OEQoFaW52MjKyjxs3zpNMrtphrz33paVZ2tq6MRhMbN68lZs3L1AsCjVblfVKAP39m8lmcyws\nTOL1ujhz5m0sFgtf/ervsXPnC0SjAZzOHnp7t/DNb363bHgwTEdHB3Nz0/zsZ/8v/f0jLC7OsLg4\nzqFDX8Dh6ODUqZ/j9S6W5yI1arWKRCLI7t0v0NjYybFjP2V09CzJZFQ6l2KxyOTkdYaGdtb9PoNB\nL4VCcV1LdJ9vmZaW+jVbPt8SDQ1O7PZGBge3c+jQK7zyyr+gr28Tfv8ibveSRK4CgWrlRyjklxz4\n1iIU8qHVGqT1Ri4XmvUK8vE8y8tLmM1Wac6qtFqHEn6/l6amZpRKpdT/U6FQcOjQF5DLS5w69T6Z\nTHJd+Z1MJiMY9ON0tlMqlUgkEmQyaSrldzt2HGRxcZpEIoHV6qBYLFb9FiqJldu9jEqlYuvWPczO\n3pXWtnqYnZ1icHAL8/PTiC0DKiWJQisYLfPzCw/c1LdSdrfR7JA4jhhg/DSZL6i2bS8WizUNi9dC\nvNa11/u0lNesxdN51uvg41z+KuujKqVaG62PetSmFPUgRgnFzb2YUdtIlkQ8/1QqRS4HFy5cIxj0\ncO/eWS5f/gdcrnt4vXNYrQ4aG3uqPptKJVAq1XR17cTjWRudkdHQ0EWppEClypJILKNUamhq2s6l\nS4ssL88jdj6PRII0NQmTfktLB36/i/uhs7OLeNxLJOJhfPwE3d07GRh4DrlcQ1NTL3q9nU2bPsfK\nym0MBh3pdAKj0cT8fFxyk3lQfJJatEeFem5voq3r/XDy5A10uiZJIpHLhWhstNLSstqiIBz2YbVW\nZ4fWc+yLx0N1/y7UYK3+PZfL8uab/4TZvA+ttoF0OkhDQz/JpIuOjm14vQIZLhSyqNVyTCYLgcCi\n9Plg0MX167/E5bpBR8cQarWWPXteZ+fOL9PRsQW/PyGNsRYej4tSKUdv7xZCIU/d9xgMJlyuQM3f\nK2UQRqORQqGw7r1+EjJU9SAuipXS0XoZzmemFM9QiQeV+om1TGuxnkmFWOiezWbRarXlughV1eeE\n/jPC3+LxKFarjeeeexWFAi5c+JBMJi3VPwHEYkH0enNdqV8+ny/XWQWx2xtxOjvo6Oji8uUzZcJX\nnTmLx2OEw36czk6USgW9vZtRqWBycpRMJotaXZ0RkstlbN++lytXTnHx4geMjBxkeHgPcrmcrVt3\n4fN58HiEuUynMzA0tJt790bZvv0w3/zm/4BareXaNWHTf/nyKa5cOcHg4HZGRp7nypUPuXDhXa5e\nPcWlS++wdetuDh/+Elu37uPw4a+iUpk4deqfuHz5PcJhH9PTNzEYLOsSpoWFMVpbe+q+Fo2GyOVy\nNXVEIgKB2gyUQqHEZmvG6ezi+ee/yJ49zyGXl7h69STHjv2CsbGbRKMREonYuoQmEPDWzV4pFIqy\n9CyC0WglnU5XzbkisQqH/ZKcTzQPEfdyu3cfIZNJ4vG472vuJNRrt6HVCv0Wi8VS2fwiA5RQq7XY\n7Y1EoxFJjlhvrpTJZPj9bnp6BjCZbBgMJkZHr9c9ZqlUYm5uioMHP0cmE8PjEdevSkmiAo3GxJUr\nY1Id4oNio9mhSoh9oB5G5guqbdvXNixee9wHKUl5WvBrRajWy1BttD7qs0YlYau04y6VSpKDzMOw\nbk+lUgQCERyO3ezY8TV27vw6g4OHGBs7RjA4RU/P/prPxOMxdDoDVqugpQ4EqjNLhUKe5uZ+gkEX\nMlmAdDpBQ8MAmYyDU6cuolDIKRSKRKMBmpuFFL3D0UwqFSOZTK17rkajCa1Wxc2b79LTs5fGxm5M\nJjuJRASzuYl43EtDQzsNDZvJZoMoFDKWlsYpFBycPHnyge7H2nv9JGQvK7MQwqah2nK9cqK6du0a\nyaSFYlGOVmvCbm8im/XT0NCAw7FqYR8O18r4BMe+VYIkDhuPR+sSqnC4OnN18uRHLC0V6O09gts9\nRUvLELlcAIXCiMPRQTQaIZlMkEr5UakU9PTsxeWaoFgsMjNzlenpU3R2bmXHjq/R2jqMUmmkWMyi\n1Rrp7t6GwdBJMJiuOQ+A+fkpurr6aWpqJhwOsmqruwqtVkckkq6Snq6FUqnEaDRiNpvXvddPIqES\ncb86K9Gxam3U9UmeB5/h0UHcgIl9CT8JYRI/v9akQox4C06tq1ktYUOlkj6XzebKGS1hzHg8gsEg\nmNNs27af1tYOzp07RiQSplQqEY8LPeR0OkMdqZ9gra5SqQiHfVL/pKGhEUqlPFNTd2t6Uc3N3aOh\noRmNRiONt2PHQaambpFIRFEqa+d7vd5AKBTAYDDgdK7W4ahUKoaH93D79jlpnujuHsBgsDI2dgmz\n2cIXvvANDAYT27fvpbu7j7Nn3+Yf//E/c+3ah6TTCS5d+pCFhVs8//xX6ezcVCZzJSwWG5s27eDQ\noa+g0zVw+vSvOH78Z+s2683n86yszNPdPVD3dbd7jsbG+tmpdDpZ7k1VTbby+RxyuUhWm7DbG9m2\nbR9f+MI3GBnZTyoV4733fsry8gpu93LdTXg47Ltv9igSCdLe3o1KpSSTSZNOp6vGCYU8NDS0kM/n\nUSqVkpOeQqEgnU5jNjfQ0tLM2bPH6maLSqUiwaBXqp+Sy0UnPrF3VKKcpc3T3t7BrVtXWK8fUi6X\nw+dz0dnZh06nY+fOgywsTOP1emoI3cLCLEajAbu9kf7+rUxM3F579ajVGmw2B7mcnqWl5Q1lmj5p\ndqgSoqsn1M98bZRYrW1YvNa2fa3crzI7+TTi14pQ6fX6Kj9/Udr3qDIMjzpDJZJBUZoo/mDWsyvd\nKKLRKIuLKUym1UnWYnGiUllRKmXEYrVGAMlkDJ1OkAC2tAyxslLdQDeRiON0bsLnm8di0ZNOL5HJ\n+DAa7czOlpiauksg4MVgMEoWonK5HLu9Ea/3/lmqXE6IWjY2dpfP1UYiEcVkspPLZdFqdeRyGYaG\njmKz2fF4plCr27l+fa3NajUqiVSlDPRJSj9XRqMqTRXERVwmk3H8+GliMS3JZICBgf3MzV2ivb0L\nhUJRRYri8XBdy/S1f5PJIBaLYbXW1lDF46sGFpOTo1y5sozZ3EM2myebTdLevolIZJ6Ghj60Wg02\nm53l5XmSSTc6nYXOzmGSST+3bn1ALLbMjh2vSdnQaDRMQ0M7kYgQ0XM4mkilcoRC2ZoFM5vN4POt\n0NHRh9VqK8th18tIaolGo+u8tgqxaaQYsROldGIfmycd9eqsotFozUblabiWZ3g0yGaz0vNcrzZK\nfI+4gV0LcfO4lojJZDKJvIuvpVIpQKiNyOcLZZOF1TETiRhGo5lcLie5AA4ObuHKlZP4fF5CoSB6\nvaGu1E/8jNDXqoTRKBCzYrHEzp2HcLvn8XpdUoCoWCzi9S7R2tpdVa+h1xvp7OxhbOxm3ft19epZ\n9uzZTzabJhisbuPQ0dGNXm9hYmLVDXDHjgMsL8+WlQJN9PaOMD19m337Ps/v/d6fYLXa2bbtAF//\n+h/xr/7V9+js3MqFC78iEvFLNVxiL0PBVXALFksT3d1DzMzc4tSpt1lenq86j4WFSczmBozGagde\nES7XUpVSoRIezxI2W6NEcivvr0ajIRQK0NRUTbYaG53s2vUcmzfvoLu7j3v3Rjl27BdMTIxWzdPB\noH9dQiWQ5SImkwWlUoVOpy8TJcFBNxwOIZPJUau1NQ2jRWIVCvnYseM5tFod5859WENsAgE/Op22\nbKzEms+LBktRQiE/+/cfxedbYWVlqe75Li3NY7PZJXMnk8lCX98gs7OTZffb1QDc7OwE3d1Cj7Ou\nrn7S6cos1SpkMhmNje2cO3dLIh8bIVYPmh0SIe4z68nuxL0GsOHzgWrb9kwmI0nSRXJciac5wPfk\n7BQfAsRi2Pfee4/bt29LD/STkGH4JBAnMJHJf1oXufUgEsKJiXtAG0rlai1NPB4iFnOxdeuXmZ29\nWKXfBkHyp9cbAWhuHiSVCpJMRimVimUJSZzu7n7UamPZDncSv3+UXM6P2z3Bhx9eZGVlCbu9utdF\nU5MTj6f+JAbCYmA2V9f9KJWi7jyGydRAKhUsN/9VMTCwH79/AlAxMxOqKbgUSbdYI7BRU4/Hjf+f\nvTcLjuu+7z0/ve87utHYFwIEAS4gxVWiTImSbdlWbOdeO6m6M5WamqpUkqq85DlVsVMZv7kyqZrn\n3Lm5tyqVzEwcR9e2FEsUKYlauIMEQQDEvve+7+uZh9PndDe6wU0iLSn8vgHdZ+nTfc7///v/vks7\ny3UQA5rv3vVTraqw2SxUKnkUCoGuLpec3SIhlUq0GFJkMq2FUyoVR6PRNl3z3ftIJuNcujRDsajG\naPSyvT2PydSFWq0ilwtjs/WjVKrwevvI5xPkcjGs1g5KpTK5XIFodJVDh77bpNOLx2N0dY2RTgco\nlQqo1VrMZhPxuKrWgapjY2MVp9ONXm9EoVBgt7sIh9vrqBQKPbHYowf8Nq7Y6XQ6mSL1JGYhj4Kn\n0QFr7HAqlUrK5fIXatH/HF89VCoVuWsJ7XUL5XKZSqXSpCWS0Ejna+cauVuPlUyKNPFqVaBcLrXQ\n9jKZFEajRR7zAAYG9nP48EmuX/+QlZX7clDv7s8hbROJhGSXOek4FouNI0dOMj19nXxeZB2IOpEk\n3d39Ta5+hUKB8fGjVCpZVlcXm46zvLxApVLg8OHTjI0dYXr6s5ZrcuSI6AYoZVMZDCYOHDjO1NRH\nlMtlRkcPYjI5uXPnI5zODo4ff425uWuEwzuoVGqOH/8GIyPH+PjjX7G2dl++7pI+LRDYJJ+Pcvbs\nD3j55R8yMLCf+/dvcuHCL1lbW6RaFVhfn2VoaKztd57NpkmnE3vqp8LhHdzuOo1QuiYajYZYLFyz\nMze13TaVijE+fpRXXvk9jh8/SzIZ5sKFf2Nq6mptkVSB1do+nD0cDuBw1McdaTHIYDCiVCrZ2trA\nbDY1/RYbJ97pdApBqOD1dnP06Iuo1Wo++ujdpvE+ENjZU98F4jMyHo/Q1dWDUqlmZOQg09PX2lII\nd3Y2mkwrAMbGjhCN+igUcjLFdXt7k1wuRU/PACDeY6Oj7bpUIny+HdbXA0Qi0Saa/6N2mhrxsO6Q\nhEaXvXbY3fl60vMB5AU+yba9XC43LVDu1RH8quCre+a7kMvl+Pu//3tWV1f5yU9+QiwWQ6PRNGVO\nPC18UROSdtRE4KlSEyuVCtPTPhyOgab/b2zcxWTqorNzH17vCMvLN5pez+WymExiQSV2lnrY3l6g\nWCxRLpcpFvM4HB309h5ifX2G8fHTuN2jTEz8Pt3dJ1laCnHp0q9bHIq83l6i0UDbVZByucLc3G1O\nnDhLNhtqeo/ZbKsJlj0kEv5aFlWMsbGXcTp72diYplCwcvXqVaDV+hxEJ6Evumh92pAcf6xWcUX2\nypUrLC5GUamUGI0GUikf3d0jKBR57PY63S+bTVMuV5pWMUUXplRLBlUy2V4/VSzmKZfLmM0WLl26\nyOZmkVBohe3tRcLhDQShSibjR693ysW6OLFXUyjkMJlMLC1dQ6+Z0+//AAAgAElEQVTXo9G0rqam\n0wlcLi8mk514XCyObDYn2WwVv7+5a7q1tUp//4j8t1hQte90Go3tdVQPg0Slk4Kmn8Qs5FHwNCmF\nUlirZEfc2JF9jv84kJgPjVqV3eOYtMj0KK5+uyGJzRsXMSWHP7HjpWnqglSrVbLZVM20oPkZ3N3d\nz9Gjp5mbm6JSaTWwKZdLaLXiGBmLRXA4XPJYKh2nq6uPnp5epqauUiqVCAR26Ohwo9M1GmRI3TYt\nk5OnWVi4LTNeisUCi4vTHDlyBqVSydDQfhQKJcvL95rOx2y2MDg43uQGKFH/5ufFMfT48ZeJxSKs\nrc3R0dHJkSOvMDV1iWg0UHv/fo4de42VlbvcvXtZfraEw37m5q5w+vS3sFisaDQa3O5+zp79ARMT\nL7C5Oc+//dv/jd/v31Nb5fOt4vF0N9mvNyIU8ssUfBCp+9WqgFqtIRz24XC0111Vq1Wi0bCcXeVy\ndXLy5Ku88sr3UKmqvPfevxKNxmTa5m6I+qrWIGFJ25rLpbDZOuTvdXeGVSgUwOkUxzeNRsOLL76G\nTqfh0qV/r8lABMJhPx5P+86chEBgi+7ufkwmE4ODIzXXv1tN90mxWCAeD9HTM9i0rVarZ2hojNnZ\nO3J+6daWSK8UdWFicTcwMEKxmG4x4KpUKszNTTExcZy7d1epVqtyIVOpVB7aadoLe3WHpP000v0e\nBKnz9XnPR/pOzWZx/pjP5+XoEvjqGlLA16CgEgSBv/mbv2FwcJC33noLr9fLp59+yrlz51rsW79o\nfFGTkL3MD74IfdTD4PP5iceNGI31CW06nSCT8WE2d2M0mujtnaRYjBEOi4JbiTdvNJrkbprTuY9o\ndBWNRk0+nwMqbG8voFBU8fmWiUT8CEKIcrlAd/cRLJYDLC5GKJWaO0ZGoxmdTtviHgSwsbGC0Whg\n//5DqNVK0un6e0wmG8lkHKu1k3Q6jNlsr4X7wvDwCUKhGfJ5M1eu3Gxrff5VbjND/bf48cdT5PMa\nuru7yWbT2GydWCxayuV8U9hiIhFt0U+Jjn3mlsE2lUq0dfgT9VN2ZmenuHUriEqlZHj4PCaTg8HB\nk5RKcdbWPsFiaR7EnE492WyeWMxHoRDi5Mn/jMGgIxjcoFAQBx5BqJJOJ7DbndhsPcRiYnHkcnWS\nz+eJxeoDVCqVIJ9PNWkaXC43sVj7oslgMBEKJT5XEdTOsvxRzEK+DJBWASUTDqPR+PCNnuNrhWKx\n2OTqt9uZD8TOhCT+340HmVRIr+2GGB4vPlt265Oy2QwqlbItM0AQBNzuLnp6+tnaWmVnp25iUw/q\nFfcXj0ew213yfdh4nImJF8jn0ywuzhGJ+Onq6mvoTgkNHTVqphbdcnDs/PwMbrenibJ2+PBJFham\nyeebjbDGxg6Ry+XZ2Kh3uETq3zLRaBCNRsOJE+eZm7tBIiF2RCYmznDt2nskk1FKpRIul5vz5/8T\nqVSaTz99C59vgxs3LjA5eQabzYVCgdzBETvyXk6d+h5Gow2DQc2FC79gbu5OCzV6e3sNr7d58VRC\nPB5GqVQ3ZRCK2jktCoVoid7R0Vr0SNddpzOi1xua/i9qxl5k374DOJ0OPvroHW7fvkou1xxvE4vV\ndW/tIHbOujAYxP3ncrmmoiAS8eN2e2VLdYDTp1/DaNRx7drHRCIR4vHwnnbvIBoqRaOh2jiiQK3W\nMDl5hkjEx+bmurwAsbm5jtPpbtu1HRk5SDYbJxDw1Wjo20xMHEWj0co26YIgsG/fQe7fn27admlp\nFpPJRF/fCMWiUc6laqTwlUqlPTtND8Pu7lBjqO/jsLe+qPORjisxPzKZDNls9nlB9ThYXFxEr9fz\nR3/0R21f/4d/+AdUKpXcqrRYLA/MEFIoFHR2dvLhhx/y61//GqPR+JX5Qh4WxPssNFrT0+vE46Lw\nUML29j08nhGKxRIGgxhoNzh4gvX1W1SrVTKZlJxUL7knORxd6HQ6trcXmJr6dyKRGbJZP06nHb1e\nz9raDaLROVZWPsZgsFOtKtBoRnj77d+2GAS4XJ4W2+tqtcrS0j327ZtAqVTg8XgIhdbk161WJ5lM\nDLPZQamUw2Awk81KBdUxlEqBVCrE/HzwmVif/y6QzWa5fXsTi8WJ1WpCECrY7YNYLCoikZC8ggeS\nO99u/VQUi8W6a68CqVS8yahCQjIZRavV85vfXMJsnkCrVaNQGDAa7Wi1Fnp6jhKPr9LImCiX8xgM\nKlQq2NmZ5sCB12sOkPtIpXyoVCpKpRLBYBC1Wo1arcXp7JN1VKI2QiCTUZFOizTUzc11PJ4e+b4X\nBHA6O8hmMxSLrQYWKpWKSkX92K6P7dDOLOTzBgU/C9OLRnxdfv/P8WgQu0FZ2cRBYnE0FlQS1U+n\na6X5PsykQqKI7f5/KpWt6WBaWQCJRBy93tiip5CYBJJ99enT55mevorPt12j+lVll0DxcyWw2Too\nlepdKwlKpZKjR8+wvDxLMOijq6u/dgxk19/GucOBA8eIRnfY2Fhje3uZAweaLcqdThddXX3cu9fM\n3lAqlRw5cpq5uWvy2Ca5/t2+/SHVahW73cmBAye4ceMCxWKRvr5hxsaO8+mnvyaZjKDVatHrDbz4\n4rcpl9X80z/9n/T0DNTyFetQKECr1WIwGIjHIxQKKb797f+VM2e+TSYT5cKFf2V6+jq5XJZMJkkm\nk6S7u32XRsymqnenGnO4pA6Ux9O+IAmH/TgcHW1fA5HOefLkK7z22u+hUAhcuvQbZmZuUSqVyOdz\nFArZPQOBU6kEpVIBt9tbi9sQx+66Q3GJSCQoUxUlV0ClUsmpU6+iVFa4fv0yZrOVfL5AqVSk0Sq9\n/vl92Gx2WdMNoNXqOHToBAsLIkUvl8uxurrYtHjXCLVazf79h5mbm2JjYwWXy4PRaG6xSfd4eigU\nMnKXqlgssLw8x/j4MZRKBU5nF9PTq01zI4nCJ3WaEonEY1O2G91spVDfRt+Bx8HnPR/JWbDRROmr\nGugr4ZlXHn/+53/OqVOnHnjRzp49K4vtU6kU586de+A+//RP/5QDBw60/P9Z2Jo/7jEaqWafJ4j3\ni0A8HiccVmK1elhenmFhYZZMJkk8vonTuQ+NRiuv8LlcA6jVCvz+VeLxmCwOld6jUEClouHOnV+j\n0xk4fPj77N//Cv39xzhy5A3KZXjxxf8FlSrO8vIVSqUKdvt+trcr3Llzs+m8PJ4eQqFmutbGxhoG\ngx6PpxtBEOjr6yEarWutLBYHxaKYHWQ2uyiV0hQKYhfKbvfWOlhbRCJVNjY2vlaFlIQ7d6bZ2Ijh\n8fSzszODw9GF0ajB5TIhCAoEQSEbEojmE81Fkpg11Wo8kc220gBB1Djdvn2dVMqBxzMIKMlmo3R2\n7iefz6FWF+jsPEgisSUXNvl8DK1WRy7nw2jsQqcT2/4ezz7i8S2UStFCN5fLYDCYyeVy6PVWoEI6\nLRbIVqudRKJKPC4uAvj9Gy30C4VCid3eQSjU3j5dEHRNiwiPg3YFjyTgbdS0PWpQ8O59Pws0rsw/\nx38cCEI9wLdarcqr7I0FlVQU7TW5kYqPdqvaUldLo9E0aSPy+TzFooBGo22i+knHk+Iadh9P6jSl\nUkl0Oi1dXb0cP36WqalP2dnZairO4vFYjZ5IS3Ek7ctisdHbO4DPt4lOp6/9X6S1NeZjgVioHDx4\njMuX38Ht7sRkaqUlT0wcJRTaJhJpfs54PF6czi7m5q7J/xscHEWvt8rUv6GhMazWTu7c+aj2+n66\nuka5ceN9CoU80WiYa9cuUirF+da3/pDt7VWWltprbxQKBcvLM+zffxCVSoVWa2By8hzf+MbvUakU\n+OCDt7h48ddYre496X7B4LZclIg5XHW9UiwWQqcz7qmfikYDsqX5bhSLomOfw+FCrzcyOXmGc+e+\nQzab4P333+LOnZtttXEStre3cLk8Ta9Lk3C9Xk80GqFUKsqMmcb3KJUqTp48j8+3RqFQRK8XKaeZ\nTKZG8ay/PxDYliNcJAiCQH//MBaLmcXFWdRqFdlsHLvdTT6fo1ptZSQMDIwiCBXu3r3J4OD+hlfq\nVDeNRk1f3zDT09cRBIGFhXt4PJ2YzbbaooOOSsXMyspay/6lTpPRaJQ7TU9SWEn5iyDet08a6vuk\n57PbMv2rHOgr4ZnO4P/5n/8Zh8PB66+//sCL/XkGebVa3SQi/LJMGCRKgUQ1e1pGE4+DlRUf4MRq\ndXL06EsIQonLl/8nZrOHYrEkt+8FQdQveTzjbG/PUCrlMJttNUqiuK+lpWsIQhqHw4Ne39HU6Rgc\nPEw6HaVSKTExcRq3u4tsNkaxmMFiGeTTT2eaHNnc7i4ymXgTXWFtbYHh4XH5776+XkKhNZkyKBkH\nSDqqZDKAXm8mEgliNFqx2TxotXr8/hSXL9f57V8n/PKX71OpqOno6CaTiTM29goKRYZqVcwckVLe\ns9ks0WiwpeuUSiVaCqdyuUw2m8Vma+1QbW0ts7AQYN++N0gk1qhUtBiNTvR6M4VCnlIphsMxiM3m\nwedbAEAQUuzszONyefF6R2T6jl5vRavVkkyGAAWZTLKmcdDVVsrthEKbCIKAw+Emny8TDKZIJmMU\niznc7vrKqlTwOJ0de+qo9HozwWCre+XnhaRp2x0U/Lhc82dty/51W1x4jvYolUqUSiU5w1D63hUK\nhVxQiZ0JVdvJjdQtakd3auxq7S7Y0+k0CoW6rRW5aMCUk535JFSr1VqnSUs6nZQ1F253F4cPn+DO\nnSvE43VzmXg8gslkazK1aNyXVJypVFq83k7u3ZtqobXthtfbV1vIaU+J0mp1jI0d4e7dKy2vHT58\nAp9vnXg8XLsGSZzOTm7cuMynn77L9PRV1Go1i4vzXLjwC2ZmblIqFclm8/zX//p/cO3a29jtNs6f\n/zGHD5/kpZe+y/r6AjduvN8y8Q2HAySTfkZHJ+VCQ5ywajh8+CXOnfshsViAnZ0lbty4LJtmSCgW\n86TTSbzenlrHrjmHKxjcxulsXzBJ1363HlpCKOTDZnM2FURms5VTp85z8uQ3WFy8zcbGBpFIqGXb\ncrlMJBKgo6P9vpVKJalUHK+3q2ZwlKNcrrMDpMLB7e6hUimytDSPXm9Aq9XKeZ4SdTwU2pa7lhKq\nVfFZOTn5ItvbK9y7dwePp1tmJGSzWfL5HILQTJft6RlifX1lDy2baJN+4MARqtUS9+7dYXl5lrGx\nozU6tnjRnc4uZmbW23aQGjtNBoOBbDbbpEN6VEj3qdVq/Vyhvk9yPrst06X9fJXHomdWUCWTSX76\n05/yd3/3dw+cWCgUCqampnC73YyNjfGzn/3ssb5ck8kkU3mexRfzsA7VbqMJqV39OEYTT6MozOfz\nbG5m0WjMKBRa1Go1IyOHUChSxONFIpEQOp2BcrlSazsLeL0jqNUCweBmk/Xo8vJN0mkfR4/+ELPZ\nRTS606S5MRiM2GxelpdncLm60GhKOBwjpFJ+BMFELKZgaqpuNatWq7HZHAQC4mQ4EglRLGab2ux2\nu5NKJc/Vq78mHBZXB00mO8lkFKPRKRtT5PMZ1Go1Hs8wZrOTUinNzEydg/91QSgUYm0thtM5QDK5\ngd3ejVqtxe02kkyKugJpcNHpdLUVaH2TMD2TSbQ4/KXTcfT61twXgJs3b2C1HsdicZNKiRQcj2e0\nVggrKRTCWCxddHaOkc2GyWREbV4y6WN4+CW6uvoJButdRputW84zS6Xi2GwumeLh8QyQTAbJ5/M1\n6kaOVKrM6uoyHk9329VNl8tNPN46SMOTG1PAo1HydgcFS/a1ja5qT7rvz4t2OVTP8fVHtVqVKVK7\nO0yS3rhSqcjj1G48iklFYzEl7VNy1VOpDG07UKKGOCdnUEmQzlOpVJLJpDEYzPI2bncXk5MnuHHj\nQ5JJsdMsFlSWlkVKaQyWOmeRSICDB0+ytbXE5uaGTGtrh/X1FUZHxwkGt+Tj7MbQ0H5AwerqbNP/\n9XoDIyNHeP/9X3Lx4ltcvvwr4vFtvN4eNjbm0GqV6PVqhob2sbFxn1BoDb1exdGjJzly5GXMZgsj\nI0fk4tBqtXPu3PcplwU+/vgtMpm68+7MzBXGxurvVSqV6PV6dDod5XKZRCKO293JD37wv2EyGfn0\n099y9eoluYjx+Taw2901ynURpVLRdE3C4cCeBVMiEUWpVLfYkUuIRAJtA31B1MT29PQzPn6I69cv\ncfv2VXkhVfzeCqTT8T1NNsRz8+N2d8umUvXCStTyJZMx1GoVr7zyPVZW5tjcXKtdHwNqtYZcLs/m\n5nrNvGH3wqH4rDQaTRw4cITbt6/Q0zOAQqFEp9NjMomfOZPJUCjkkTpeqVSS3t5elpb2jmpRKJQc\nPHiMO3eu4vF0oVComuZ6IpXVztLSygP2IY4zjTqkx+k0SYso0u/l84b6Pur5SM+a3RlUXxW5zl54\nZmf/V3/1V/zxH/8x3d3dDxzAz507x7179wiFQvziF7/gn/7pn/j5z3/+yMcxGo1N4b6/qw6VlGkk\n/SilIN7HoZo9zYnOzo4f8JDN5mW+ezC4Rk/PPoaHD7K0NEulIl47rVYjn7fXe4BAYEF2+Nvauk88\nvs7ExLdRq7UYDG7y+XjLADU4eITt7Tn0egsqVQmtVs3IyAmSyQhg4MaNlaYulcfjlelaq6tL9PcP\nNd1sJpORgYFhbDYra2szzM1NodWaatogN5VKEYvFKtPEvN59lEpZXK5uFhYCRKPNtttfdbzzzruE\nwzlstg4ymQBe7yiFQoLOTjupVLSJn55MRrFa7VitVjltPh6Pks3mWzRUiUSsZeUYYHl5lnBYxYED\nb5DJBEmnU1itXgwGC7lcBpWqSrlcwGjsQKXS4HB0s709Qyq1gcMxgt3uwmoVaR6RiJjn4nQOEI9v\nkc2mUKmUTQJnu72bfD5SGzR1aDQawuEC6+uLLauK4iAoavGSyWTbwUWr1ZHNlp6YP/44aAwKlrKg\nGnNKnjWeRdH2HF8uNOpN2nWYJMpfPp9/Iqpfu66WtM9CoUChUESlai7SJNaGRqMhn083PXsardBB\n1OBI3Sdpm76+fYyMjHP16gdks1kikVALNQxEdgWIuhqx+5JmaGg/Y2NHuXPnCuVykb2mCRsbS4yP\nH2ZkZD/T01f3vL6HD5/g/v07TZrNZDLBxsYS4fAWNpuF7373v3DmzLf59rd/RF/fKIIgMD5+gjNn\nvsXZs29SLGbZv/8FhocPcvbst1CrTdy4caFpUqvRaDhz5nW83hE++uh/EghssrQ0i0JRYmhovOW8\nVCqRQu3zreHx9FCpCIyOHuX113+M3e7k+vWLfPLJeywt3cXj6ZMDkiVzDvH6lUkmo7KD326EQjt7\nuv8BRKOhlqBgCRL97siRU7z22g+pVMpcvPhrNjfXKRaLsjveXvoqUdsVwuPpkSljUmElbb+zs4XL\n5a51xV5hdvYm4XAQEFCpxPiRUMiP1eogl2uk8QlNz0qvt49CQey8SFAoxHHKaDRSrQqk02nS6TR+\n/xYvvvg6y8v32oYMS+js7CEa9eNwdMqGG5lMpraNgNPpZW5uW45F2QuNFL7H6TRJDn+Nnerdob5P\n4mL7sPORXEDbZV99lfFMzv727du8//77/MVf/AXw4CJnaGiIgQHRhebQoUP85Cc/4V/+5V8e+Vgm\nk0kuqJ7VpKHRQ1/KqMnlcnxZw2FFzm4AMY8nhUajRRDA779PR8cwLpcXs9lMOOyjUik3XceOjn2k\n0yEUCoFEIsTOzm3Gx8/LQk693kW5nGy5kQcGDpFMhshkEuh0BjSaAm73MFqtjnJZQSRSZH6+vsLn\ndncTifhrBgVb9PfvZze6u7soFFJMTLxEtZpne3uFXC5ZE4C6EIQi2WwCQRDo6OhBEAr09k4SDKa5\nfPly076eVUjz08LFi1MolSagjEajxuHoQanMYLPZSCTiTYYUsVgYq1V0/JM43ZJlcSaTaRLttjOv\nAHjnnV+h0YiagFhsjXJZwO0Wbcvz+RyVSgKjsT65cbkGCQRmakWcWc4j6ezslYW5VmsnpZIo1N1d\nxOn1ltpKdQy1WoPb7SWRKBIIBLBY7C18eKD2O7C2BHDWYXikgN/deNKCpNHAQgpl3s03f17sPMfT\ngJRrWJ8st6d87rY6l/CgPKq9ulpSuK9ovlRq0SiVy2V5MpfNZmRWg1Q0NXaastkUVqtN3kY6x+Hh\ncbq7e/nss4uk04mW4Fgpi0rsTqkJhwPYbE60Wi1dXX243Z1MT9+odTQqTYVVPB4jn8/S2dnHyMgh\nisUM6+vLba+vy+XG7e6RDSoCgR0+/fS39PcP8OMf/ynB4E6TG+Dk5BnW1uZJJCJUKmX6+oZxu/u4\nc+cD+Xs4efIclQpMTV1qOd6BA0c4evRVrly5wCefvMXRo2fbnhdQs4lf58CBSbnQKJdLjIwc4pvf\n/BGdnV1MT19nfX2BjY3VFvZMKOTDYnG2zSEEsQO1V76TWDCl9nQHjER8WK0uVCo1Wq2e48df5tix\nF5mdvc7Vqx8SDPpwOp1ttwWIxSLodJqm7phUWIlMIDU7OxtYrU6q1SpOp5vJyZPcvPlxrTBSIFqq\n+xgcHEWprNP4KpVq7TqI12Jra4OJiaOsrS202L8rlaraormRzc1VdDo9bncXHR1u5udn9jz/5eV5\nxsYOsbm5JLveGQxGKpWKXIAolQ7m5hb33EcjJMr57k7TXoXVXg5/jaG+kovtkxZWu88nnU7L7pzt\n3v9VxjOZ5X/44Yesra3R399PV1cXf/u3f8svfvELTpw48UjbP85E1GQyNVXzz8qUolQqyUYTkj7q\nizCaeBoTfZ/Px2ef3WV6+gOuXv03Zmc/ZGdnmXw+ics1hEYjPqDc7k7m5+/symDIY7N58fkWWFz8\nhKGhExiN9obXK1itduLxZpGuXm/A6fSyujpLuQwmUxWDwYpGo8Xt3kciEeH69XnZ1cZudyEIZRYW\nZrHb7U0PTFHTVaanp5N43I9er2Ni4kX6+obZ3t4gHA5isbjIZqOo1RrS6SQGg6V2PBMg8PbbrYPU\n00Cjdu7zBOI9CNPT0+zsJDGZXAhCBo3GiEZjxOnUkc2mUSjEh7SEZFK0O29ENisOenq9vpb0nqFY\nLJJOJ7BYmi3TI5Eg6+tJBgbO1v5ewGz2YDY7qVYFIpFVIpG7pFIBVlYusrV1nVhsnWo1jk7nRqXS\nyBMzr7eXdDpOLifapdpsHvz+lba5V1arm0RC1CM4nW6SyQwGQ0ctRLEon3O1Wr++DkdHi2BcglKp\nJxp99IBf+GKeJ42hzDqdThbyFgoF2c3saeI55e8/FiSqn0SxaaeNqtuMtzIoHmRS0ZhH1a5Ikwqt\nzU1fk2OZpGnSaDRksxmZBQGNVuj1sTOXEztUkjNYIyYmXkChgHA42OQuKD57i7UCTCl3w53ODrmj\n9sILL5JMRgiHA7WORp0CvbGxTE9Pv7ySfvjwSebnb+3ZcTh48CjB4CaLi/e4efNDjh07w8jIIVyu\nDrq6Brh3r97hMpstjI4e5datD2tdQS1Hj75IMpmSjSdUKjWnTp0nlcowPX255Xgej7eW22Vibu5G\ni1uuhPX1Fex2OyaTBbVaJUsOpALbYDBx7NhZBgaGuXfvOh9//B4+X52KHQxu7mk4AeIC3V50wEgk\ngMXi2JNSGQ4HWopgj6ebl176DiaTiU8+eRdB2HsOFQz6cTrbF2uSHiebTdLd3Uc+n6dQKNQK5HGu\nXfuAUqlAJpOmVMrjdLrlQgyQLc4lfZTPt8Ho6EGGh8eYmmrVzIG4aBYK7TAycoByuczAwBjr6/fJ\nZFodZSuVMmtri5w6dQ69Xsvq6iIKhVIuqgwGYy1jzcz8vI9Y7NE1v7s7TXtR+HbT7nbjiwr1bTwf\npVIpF2eNRjjS+77KeCYF1Z/8yZ+wsrLCnTt3uH37Nn/2Z3/Gm2++yW9/+9uW977zzjsEAuIEaH5+\nnp/97Gf8/u///iMfq7GgehYTE8lCVlpRMxqNTzWI94tAOJzi8OE3ePnlHzEx8QZWq4upqbcwmZxo\nNJqaHXqFsbHDaDRqVlbqPOBMJoPXO8HS0meYzVbc7uGmfWezKdzuYeLxnZbjdncfYGtrnkwmzcDA\nILlcCLPZhV7vwGLpYW0txsbGkvx+p7ODhYV79PQMAdL1FlccRb1OJzqdimw2hkIBvb0j9PUNMDt7\nDYVCTzodasqj8niGCYVW2LfvFMvLoaeaGSR1KxsF4GazmUqlIuvpvqgw2LffvkAqVaJUyuL1DqNU\nqlGpBLxeO7FYsCl/CkR9ksPR/L9kMo7ZbEelErnwBoOBSqVMLBbBYrE0PUDff/9tCgUXVqubYjFD\nLLZNd/ckodB9FhffIhKZRqks0tm5H6dzAK1Ww+rqRcxmDfH4dpNWQqVS4XR6CATE34vV2kUksonN\n1roqKYY2i88Gi8VGNptFrRZpdCaTEYNBT6VSplDIU62KA6HL5d6zQ5VMJpmautf2tYfhi7i/G+1i\njUZjrYBNNw00TwPPu2D/sZDP5x9ogy4VRSqVqu1E6UEmFWJsRnt3rkqlIr+WSmW4desTbt26UssQ\nKsnFWyqVlN3jJE1V4/7S6RRqtUo+h1ZKX5nu7iGMRj3T0zebji/qMupZWrFYCLu9Q+62abXaWmjw\nLVQqpVxoZLNZdnbW6O+v25S73V46OjqYnb3d9jrr9QZ6e0d5991/4dixF+nsrGt+RTfAQJN77cjI\nONWqkrW1WTnv6+TJV1lcvC2H/Go0Wl566duEQkHm5q43He/69Y+w28384R/+KRqNhY8+eks2wGjE\nxsZcEx1QckE0GIyoVCpWV+/jcnXR3T3IG2/8AcPDo9y7d51Ll37D9vYGkUhwTw1TPB5GpdI0BcQ3\nIhLxtQ3slRCNijTNRpTL4m/jhRfO4nR2EArtcOvWZ20NDiIR/wPzq4JBHxaLWExKmV35fJ6+vlFc\nrk6uXbvM9vYGHo+39hsRn4sajUZeJMhkMsTjMVKpKJ2dvZdfCU4AACAASURBVOzff5hyOc/a2lLL\n8dLpFJlMgv7+EYxGIy6XG6+3h5s3P2thUayuLmG1WrHbO5iYeIGFhTtNz32VSoXRaMJkMqJSObh0\n6dPHdvNr7DQBLZ0miXr3MDRmT0l64CcJ9ZXOR7qPG8+nkXr4VcUzKagMBgMejwePx0NnZydmsxmD\nwYDL5WJjYwOLxcLWlrgicvHiRSYnJzGbzbz55pv86Ec/4i//8i8f+Vi7O1TwxXepGoN4Abkj9VWw\n4i6VSiwsBDAa7bW8ECMDA0exWOyk00GSyVCN/iWu0uzff4RkMkowKOZC5XIpNBodpVIKh2OwZf+5\nXIaengMkEj52U7D27TtKJLIBVHC7+xAEMYg3lQoxMvIK6XSM69frtrBWq5NIZIeuroFaXoUo+lSp\nVOh0OiwWM0ajSQ59BfB4+jGbLezsrBKLhTAajaRS4sqO1ztKLLbB0aNvkEjkuXTpi+9SSZOTTCYj\nawCkkGZJSyOtgD1pG70RxWKR6ekNlEoDOp0as9mF2dyBQpHGbrcTj4ew2ZrzQdLpJA5HMyc9lYo1\nFVniAK+mWq1iNFrIZNLk83mSyTiLi2FstjEMBiPB4BxKpZZYbJ5EYoHu7uOYTKM4HP14PBPY7QOY\nTL3o9W5On/4xhUKOSqWAICBz9Lu6+ggGdxAEAbPZQzodaKvbstm6SaXE4qhSESddgmCvrf4pUKnE\nSYLY/RLIZEQaUbuA31u3rrC6eo9yWfFUi5dHgUKhaApdBJ5qUPDzDtV/HEhUv3pobet3LRVF7cJ9\nH2RSUalU9syjkgojaWFJpzPx2mu/h1IpcOnSr1hfX5KLHDEioR4Sv3tBMpmMywyF3avpUqcrn88w\nOXmKSGSHxcV5qlVB7nSJsR4KSqUSqZS4cNTYUevs7KGz08v09HW50IjFIjW6UrMV98GDx/H714hG\nW58p1WqVUGiHjg53zaCgDq1Wx/j4C9y9+4l8jSuVCocOnWBjY0F23bNa7UxMnObmzUtyx0mr1fHS\nS2+wubnK0tIdqlWBmzcvUyrFOX78NVQqFcePv8y+fUf59NN32dhYkI/r821TrRbb5iYpFNRoWDE6\nO0V3v0qlQn//CN/85n9m374DzMxc4e7dO0269EaIlLy9C6ZIJPhA/VQqlcTjqb8uCNXab1VbMyLR\n853v/AGVSokPPni7yQmwUqmQSIQfaFjh9/vk/SsaMrsARkcPUa2WuHnzU7zePvk9Es2vUqnKGrSt\nrTXMZntt4q/gyJFTzM1NUSjkmo63vr6M19srFykqlYrJyTOk01F8vp0mV8HV1fuMjBwCRHMOi8XK\n8vJ8y2dQqdTo9UauX59lbW3tidz89uo0tXPaexCk7CmLxUKxWPxcob6NlMInod5/GfE7Efb89Kc/\n5X/8j/8BQH9/P6lUit5eMWzu5z//OX6/n3Q6zfLyMn/913/9WF/409RQtQvi3U1N+KLxRVH+JMHx\n1tYWxaINk8lcm6xpiES2cDq7GB09y/37H5FIRNHrxQFMrVYzOnqItbUFCoU8mUyaWGyRwcEjRKPN\nXahCIY9CAU5nNwpFlVSq2fjBaLSi1xtqBZsFg0GFRqOjWMxgMrlwOoeYn98ikRAHl1KpgkKhpFQS\nV2V0On3Nql0pn5vH00EsVqcnWK0OVCotw8MHicXCFIsZ0mnRncnl6qFaLVAuVxEEE3//9//tc1/X\nxuvbWEg1rsLshlKprDkZ1vnJTzp5fvfdd4lGSxSLZfr7x8nnExSLVTSaIhqNlkQi2qSfSibjqNW6\nFj58Op1scfhLJEQbYo1GjclkRqFQcPnyRVIpA2q1A73eyPb2LaCM2WxjePgNlEoTgpDCaKzTOAKB\nZWw2F3a7G73eQT7fPBkxm63odFoikSClUhWDQS+biTTCaLQjCCXy+QyxWASz2UI2S0tAr0ibUGMy\nmWSxsM+3JV/fu3dvkEgEOXfu++j1tiaR8cPwtLs7jb8NiarxeYOCH4QvS6zEc3zxkIwopElTuy5S\nY0jv7g6VIAh7mlQ00gB3P+Ok7SRar6gn1qDTGThy5AxHj4oW1B9//H5tRT8lO2G203Alkwl0OpGy\n3M69T+yAxXG5Ojl9+jzLyzNsba3L+5L2Fw6HMBpNaLXalmNMTBwnFguyubmOQiFmEvX1DaFQKMjl\nchQK4hik1xsZHZ1gevoau3H//gwajYLXX/8B8/O3Wyh4AwPDaDQmFhfvyNbkLpeHkZEj3L79UcP7\n9uF0dnPr1kX5fwaDiTNnvsXCwl1+/ev/Ti4X4fTp7zR9p0NDY5w58x3m52eYmvqIcrnM8vJdhofH\nWs5VQiCwiV5vbFroEzuIxZrpx2HGxg6yvHyXixd/xebmWtP2D+oQlctlUqnkA/RTgdp4Xf8M4vep\nQalUEQyKYcFarY6TJ19hbOwQ169/wMKCqLUOBv2YzbamIN7WY/jo7GwOMhaZAVpMJhOHDp3G59sk\nGo3vMiYRqFTK8iJ5KORjaGg/lUqZdDqD1eqku7uX27ebu4ZbWysMDIw2/U+r1TI2dpiVlTk0Gi25\nXJ6lpQWUSrGYlzA+fpT19fmWIg1gZuYmvb37WVzcQa1WyzmHj2tsJHWarFarzJKR3BAfB6IjolUO\n9X2cLCyJgSFRaU0mExaL5SufQQW/o4LqaaKxoILPX5A8LIj3WYQHfx5IJhnZbBaFQkEgkMJi6akJ\n/HMolRrC4RU6OoZwu/fhcHhYXb0hP1xBXDXr7OxmcXEWv38JnU7FgQOvk0hs1drYIlKplLySaLN1\nyhbYjTCbvSSTIi3B7fZQLscxGKwkk2H6+k4Rj+e5cuUyxWKRQGALh8NBJpNCq20NhAQYHOwjHvfL\nf1ssTnK5JG53L93doywu3qJYzNbsfo2YTHb8/hX273+FlZXo5+5OSIVqY5H9qCYk0m+pcfL8uO5v\nv/3tZdJpASgyOHia2dmrpFJR+vrEIiqVSjR1o+LxUIs+KZNJoVSq0OkMTf+vO/wpanx0gfv3t7Ba\n96FQqIhGN9nevs7o6Gt4vS+gVCrJ5bJUqxnMZnEQTadjFItiR8xgsKFW2ykUIi33jNvdRSCwQzKZ\nwOHoJhZrr3uyWJwkEiHi8TDd3f3kckWi0VZ+OiBb23q9PcRiIXK5LIuLc2xtrXD27LfQarUIgu6x\nVseeFV1ur6Dgx6V87IZkjvK8Q/X1h1RMPYjqJxU+0uSm8XlYLBbbFjiAvELebhLUaFEuUaxALRdA\nHk8Xr776Jh6Pm8uX/5319RX0erOsqdp9jolETM7Ha/ztl8uiYZJo8BLHbndhNls5cuQUd+5cJZtN\nt1h/m822tgWiSP07w+zsTfL5fM0IaaSpoyEVGmIeYonl5ToVPplMsLo6x+TkS3R0dOJyeeUA30ZM\nTp5keXm2ZjWuQK1WsX//QUDFwsId+X1Hj54hm82ysDAl/y8ej1IqlQiFthgYGG9rEOJ0dvDqq98n\nlyvzzjv/TDweYHDwQMv7JGxtrdDR0Y1Wq5MjKgwGA4JQJZfL4vOtMzZ2hPPnf8DY2CGWlqblwqru\nsNe+oAqFfFitjpbvtP59+Jrs1MXfalV+fzQabNJu9feP8PLL32FnZ5VPP/0An2+zhS7YiGQyQblc\natFoSRDH3DjHjp1kbW2elZXF2sJVs6NlLpclk0nQ2dmDVqvDYNBTKhXp7x8jGg2wvb0BgN+/jUaj\nbnu8oaExyuU8fv8OZrOJzc1lvN6BmqugeM+ZTDa83l5mZ6ebtt3cXKVUyjExcYJ0Wo3P58dms6HV\nakmlUqRSqcdejJUMkkC8l5+009TIrJC0wA9b/JN0kI334NeB7gdfw4LKbDY/1GLyUdBoNPG7DuJ9\n3B+5VASKbjV5+eZRKpVsb2ewWERqVyaTQxAqpFJB2aFtcPA0icQmhULzqn1//z6KxTTb2zOMjr6M\nVmvEYrE3FU2ZTL2gcjj6SCRaCyqDwUUuF6JYLGCxdJDJrJFILLCw8A65XBKdzsxnn02RTqfJ5zMM\nDe2vWZy2R2dnB4JQIZ0Wu2FqtRqdTk8qlWBk5AUUigK5XI5EQnzd7R4iEFjk9Ok3KZctXLhw4bGu\nrYTGbqVCoWgqsh8XjZNnyf3tUdr64XCYUEhNpVKmo6OP+fnbVKslJiYm8Hq7SCSiaDR6dLr6Cl4i\nEWlx7YvHo2i1RgKBHXZ2NgkGfaTTKdLpWFOe2NLSHLGYEq3WQTq9xY0b/w2jsQunc6xmNSuQz2ep\nVrOYTOJAFwgs4XT2oNOpqFQEdDoLZrOl1t2s30ceTw/JZIxYLExn5z6SST/tYDJ1kEpFiMUidHX1\notOZ2NoKtaysN96jLpeHTCaOUqlgfv42ExPHKZUqlEpFdDoTgcCXx0K/XbHTGBScz+efKCh4N74O\ng9dz7I1yuUw+n6dYLO45ZkkLN9IEVloc3J1HtXtbqavVLo9K2k6a7EsdHtDU7MuRWR1jY5O8+OJr\nbG4ucP/+LNVqpe3+MpkUdruzafFSWlnXaDQ1QxsFBoMRQRBwOj2Mjo5z69Zn8mcUBJGe5vHsHdvi\n8XTR2enlk08uotXqZNqx1NHQ6/W1rl+WiYljLCzckQ0q5uamGBraL29z6NBRtrbW5HFHgtVqp7d3\nH9PTnzYVuUePnmV5+S6pVFy+RidOnGdxcZq7d6/xwQdvsbR0gzNnzvPDH/7v3Lt3jUCgfZ6iSBH8\nJtlsgUQi0mQw0YhyuYzfv0Vf33BTYSwtRGm1OsLhIDabU9apnT//A0ZHD7K4eIe33/5/KRQqsv5t\nN8SC6cH6Kam7JWVONf5WIxEfHk9P0zZms5Vz576H0ajjypUPZCZNOwQCPtzuvY8P4PdvMTg4xunT\n57l//w7RaJRsVjRvkO6LrS1RYyXmQom/P1FyYGFsbJKbNz8hl8uyvr5MT89g2+MolUomJl5gbu4W\n0WiEYjHD+PgRVCol2WxGtms/dOgYOzsrpFKJ2nWpMjd3m4mJEyiVSlyuPqamlsnn87J7nlqtlhdj\nH6ewkgobi8XyRJ0mCY2Zi3q9Xs6e2mv+0i5/StrPVx1fu4Jqdw7V43aQdgfxSitUexlNPO0O1eP8\nyBod5YrFYs2tr14EhsNhqtW6404mUyCRCGCzeVCrxQFQrdZitw8RDi80uaWJK4GQzxexWMSHlNM5\nSDi8Kr8nm01jNIr5VDZbD7lcoimXo1yuoFYb0OmU+HzrqNU6HA4bbvcYGo2FUimOVqsjFitz+fJv\n6ejoxOvtIxyua6R2w2QS6QqJRH0CbjZbSSbj2GwerFY7lUpOXvXp7h4lFtusUUE6+Md//P8e+fpC\nveO3u1v5RZkUSO5vj9KVePvtt8lkjKTTMYzGbtTqEr29B3C5xCT4aDTYYu6QTMaxWh0IgsD29gZX\nr37IhQu/ZG3tPgsLt1hdnWFu7iaffPIOly+/x9bWGsGgn2q1yief3CaVyuP3L5DNLgBFrNZOVlau\nkcmkapxqH1qtHr3eQjodo1zOYDTasdudpFIxLBYrTmc/4fBG03mp1WocDifxeITu7jHS6fZFtNXq\nIRzeRKkEk8mKw+EkFss1WRLvhtvtIR6PMDNzi/7+IQYGhtHpdLVMHgUbG/5Hvoefdodqr/03Dlom\nk4lSqSQHBT9Ol/W5IcXXH4IgyAHSEoV0NySKcmNRJOmoKpWK7NzXjs73OK8plUrS6QyCoK45ljUX\nd3a7i+7uQaxWMx9//F6TRqZardY0YNmm55g0zkmU6lgsKjuRipM4BaOjB3E4HFy//glALSA2Rmdn\nezc6CRMTx9naWq1NnpshdXBEIxkHDoeD27evEQoFSCRCjI4elt9rMJgYGTnI3bvNbnCCAMPDB8hk\nkvj99Weg1Wpl374j3L79IYIgEAjssLg4TTKZ4uOP36K/f5jXXvsxnZ19dHR4OXbsVW7dukwk0n7h\naXt7nY4OK6+//iPu3r3C9PTNpvEcYGNjAbPZht1ua7uPUMiH3e7CZrPLi8vlcoXe3mFee+2HWCxm\nUqkIH3zwDj5f6+JpJLJ3GLBowFPXT9X1buJvNZkUjabaub0qlUoOHHgBh8POwsJdVlfbW4oHg1u4\n3XvrqyqVCpFIgO7ufjyeLvbvP8j09NVabIiCXC5PuVzB51unp2ewxtJQIi0EKhQKBgb20dHh5ubN\nK+zsrNHbO7Tn8bq6+mrOhe/T1zeMUqlCq9VhMpka7kE1g4Mj3Lt3C4DFxTkMBoOsgdNotCgUTmZm\n7svn0Oie9ziBvNLzQdxv+07T46Axe+pBob7tdFuSI+NXHV+7gspisTxRh6pRA1OtVtHr9Y8dxPu7\nwu4iUGrb7y4C19fDGAxiO1qkqhWIx7dwuZqd+jQaO0ajjkCgXiyVyyXC4UX6+4/I7jZu9zCpVECm\n/eXzaXmFTqVSYjY7iMXqD3yRQmbG4xlgY2Ox5tQ3gMFgxGLx4vEcoavrENlsiqtXp+ns7Mbt7iKV\niu95c+v1eqxWC8lknSJmNttJp+Oo1RoMBisDA6Nks2FisTAdHb1UKgVisQhjYy+yuZl+6O9ld8fv\naXcrG7sSu221Gyf+N2+uEo8HKZWKuN19tUJMT3e3OAiJhhS7zSfipFJx3nvvlywu3sblcrFv3yjn\nz3+fb3zjTc6e/Q6vvPImb7zxBwwMDOL1djIzc5Vf/vK/Mzu7jsHgQqEoYbf3YLF0MD7+Bh0d3Wxt\n3aFaLZFM+jCZPFQqZYLBFVyuQQQhh9lsJ5VKYDBY6OgYIh5vXV01mx2k00k5IyubrVPx8vksGxv3\n2NiYZXb2Q7a3b3D9+i8JBhfx+SKk03vT9qxWB5lMhnB4i/HxFwAFarUYDWCz2UmnC/j9/s9tEPKs\nIA1+UlBwIpH4XEHBX/bn23M8HiQTConq9yCr83bBmg9y7pP0Fu1oXO22UygUxOPp2v81LbTtXC6L\nQgGnT7/G+Pgk1659yMrKglw0iXqLMkajWV683B36m0jEsFptsjZDmpi/8MJZSqUsMzO3CYfDNSvq\nvTsaIFL/bDYbsVh0T3t0yahgcvIUfv8aV658wNDQgZZJ4sjIOPl8ocm5VsrEOnz4NDMzV5ru2d7e\nATY3d/jHf/y/uHfvM4xGLd///n/hzJnvEgisNe27s7ObI0de4vr1i8TjoabXKpUKs7PXmZg4jtfb\nx6uv/pBUKszly++QzYr0aEGAtbUF+vv3y5rk3fD51uns7K19XkNDWK5kLa/g29/+MUNDI9y7d5XL\nl38rm1c9Sv6UxeKqGR9V5GJbQjC4d7YViDlfg4OjnD37LZaX73H79tWmZ7foUBvC6+3Zcx9i3qEF\nvV7U542MHMRmE4tkvV6HVqslHo8Sj0fp6KgXZs2FlcDk5Ck2NhbR640IgkKOKGiHsbEjzM/fkZ2L\nxf0pm+ZqPT3DhMM7bG2tsbx8j4MHm+OFXK4ulpcjhMN1R8eHufm1w+4MqnadpifRaTUWVu1Cfdt1\nqL5MOa2fB1+PT9GAx9VQNWqMoK6BeRwjjKeJB53/4xSBpVKJ7e20TPcrFgvk8wUKhTgu14D8vlwu\ni1qtZWjoJNvbd+RVLZ9vCY1Gy+DgEZLJCMlkArVai8XiJBLZplwWVzVNprp9qs3W1dQ5SqUSmM1W\nurpGCIfXKRTyWK0daLUFTCY76XSMnp7jdHSMsLWVJJVKygJ96UEtorlz1tfX3WSQYbW6SKdFYwuL\nxYNWK1IeFxZuA0qsVhc+3zITE6eJxyu8++67ba/vbtqn1PF7Vrb4jbbajXSvQqHA/fv32dmpkEhE\ncDpHGR19gXQ6hNWqk80lkslYk34qGPSxtLRAMLjB5ORJXn31B7XAymKLIUU+n0Wl0nLw4Alef/33\n2d4OEwqFEAQDpVIMg6EblUqNxeKRtXfr63eoVDLY7T2k03EymQgWixdByGIwWMnlMlgsFoxGByqV\nssW0pFoVMBjMpFLJmlYqSLGYY2npOlNTb5HLhejpGcVq7WRi4jzj4+cYGBghkQiwtrbWsCeB3V9P\nNBrH6fS26A7EyUJdn/Ewg5DfVYeqHfYKCn4Qh73d/p8XVF8fSOOZxK5oN1F5UFEk7eNBVL/HeU1c\nNc+i0ehQq5vHVEEQiEajmM0mlEoFfX1DnD37TdbW5rh587PaZ8nINHJJ4yV9Nuk44rhia9J8Sd22\nEydeqelj5luiItohmUyg1+vp7e3j7t2pB77XYDAxMLCP1dV5vN4B8vl803NDzK46ztzcLfmaS26L\nvb0DWK0uOddqauoKH374K/r7ezEaDZw4cZ7x8ZOYzTYmJ09RKlVbbNN7egY5ePAMV668RyJRN/qZ\nnb2NxWKkq2sQAL3eyNmz38Pj6eajj95me3uDeFwcwwcGmhdTGxEMbtPT0w9IVutShpWWVCpJNBrG\n5XIzMLCf1177T/T2DjI1dZlPPrnAwsIMNlvHnvOoYHAHt7uzVtwXa2Nq/bcaDvtwuR5sh+52d2Gz\nOTl37rvkcik+/vhd8nnR0MHv38ZqtT/QsMLv36arq25YUa1WaplmVWZmplCrVYRCATo7u+V5QOP3\nKxVWer0Jnc5ENpuR5465XK5JHyUhEgkxPDzC0lKzm58giCYN4gKxjf37j3Dx4m8wm61NplLSca3W\nXq5fv9cyTj1ObtReGVSNBZFWqyWdTrftND0M0sLw7lDfdllyzwuqLyl2F1TtsJfG6Ek0ML8LU4p2\nboMPKwIjkQjVqkP+fIVCkWg0iN3ubfrM2Wwanc6A3d6DTid2qSqVCn7/LBZLH1arlZ6eQdbWRGtW\nh6OPaHSLdDpZG0zr+3I4ekgmRbqeIIh0M53OhMvVj0JRIJGIo9HocDictYBHcYLtdI4jCBXee+8y\n1WoVl8tDKCQVVK2Tv95eD5VKUe5omExWKpUS2WwGtVpHMLiC2WxGp9OztHQPl2uAYHAJm82FWm3j\nrbcuNu2vkTop5Ys9iPb5tLGb7lUoFPjXf32LSEQgmQxz6tT3UKlUJBJB+vvFoqFarZJMJmSB7P37\nM1y+/Bt6enp59dUfyBkp1WqVTCbdQg1MJKKyfmpraxWfL09f3zjF4g75vJNUagObrQ+1WhRsezz7\nyedTZLMBzGYPsdg2bvcQIFCtFgE1qVRKpubYbF3EYs0ukZlMEofDVssO8bCzs8jU1NtUq3mOH/8B\nY2Ov4HINoFSKujCz2Ulv7yEGBk6STLYPtQSRS2806tDpWkXcIAb8JpPpFoOQJ7Gn/bx4koJtd1Bw\nNptt29F80v0/x1cDjVS/vTpMDyqKpO6PZFCx+7VGof7u1xrNLXYjmcw00ZoklMuiPqoxl85qtXP2\n7HfIZuNcv/4R0WhEppFDfRLYeBxR62lHjE5QoVLVX9Pp9Bw+fIqFhWn0+vp+9oLfv43b3cnhwyeI\nRHYIBPammwPkcgW6urwEgztoNGoKhTz5fF6eSHd2dmO3i4WTdP2kcz98+AT37t3k7bf/mWo1zyuv\n/B4vv/xdDh06xZ079SBfqTBcX19s0U319Q0zNnacq1ffJZ2OE4kE2d6e48iRl1rOdXz8OMePv8rM\nzFUuXPg3enuH2/5GQKTrqdXaFsqdVFglkzFcrs6aVi8HCAwNHeBb3/oxXm8XV69exO/3yxmQuyHl\nT0kW4o0Uy7rZxd7dpUjEL7+u1ep58cVv4XB08NFH/040GsHv33mgnXq1KhAKbdPdPQggF3Y6nY7T\np8/j862zubmG37/BwMBIbfyXvt9cTTMsQsxR0+JyuZmfn6kF8xrkAFtJ7yoIAmtri7z00jcJBjeb\nrPerVTEvDcTve2hoP4lEqEadT9ccI+vPcpPJSjKpYXFxue3na3Tzq1QqbXOjGil/7dDIlGnXaXpU\nNNISpWfA7u7Z84LqS4oHdagaqXGSWPd3ZTTxuHiY2+DDsLERxmCor3QUCqJ+yuXa1/S+XC4jt8C7\nuw/i880SDK6h1xtQKvUYDGa83l4qlRLBoJ+OjkGSyW3S6UQLncJkciIIYlaESAFI4nR2YLN5MJtN\n+HxrADgcbnQ6Jfl8kkqljEJhxmbrYns7zfz8HTyeHiKR9q5vAGazCb3eRCIhTtCrVYFcLsxnn/0/\nhEJL7OzMsrNzm2h0jURiB53ORjS6gSBUGRw8yeZmHL/fvyd18stC+2zMK1peThAMrmI2u+jvP0Aq\nFUSpVNHfL3LSE4lI7TtTcu3ah+zsLDI0tJ/BwfGmfSaTUfR6c8skSaRnioPphx++SzarQaXS0Nt7\nHJNJzP5Sq+vce6VSicXSSbEYpVqFbDaM2z1ItZrH5eqgUMjVROkKqtUKDkcfyWRzQZVKJRgcHCMc\n9pPN5lhdvcbo6Cn27xdNUABisQgORyf5fH2gdjq97OzUg5p3Fw0LCzOMjIyTTLY3nzAaLfj9Eflz\nPMhd78tckOzuaBYKBeLxeNNK6Zf5/J/j86FQKMgh83vpOvcqiqDumrfXana1Wm3rLLfb3KIR+Xye\nQqHcEtMgBbSXSgVMpuZCR6FQcPr069jtDm7c+EieaEr3X2MRIC6MitpdySJd+tyCIDIxensHMJnM\nbG2tP3QyGAqJRgharZ6DB48xPX19z23S6RTRqJ9XX32TxcW7lMtlOSw3n89RKOQRhCqHD59gbW2B\nRCKGRlO/fqKrXB6tVsXx46/IhePIyEEEQcniYj1A2Gg0Mzn5MlNTl8lkmunNQ0NjDA9Pcvnyb/js\ns/eYmDjeVIQ2wu3u4uTJbxIKbREM+uT8q93Y3l5tCiZuvU5beL19DZ83L8em7Nt3iP7+IQYHh/jk\nk/e4fv0T0um6yVU+nyWXy/3/7L1ZbFx3du77q3meWSwWh+IkUiIlkZolW7Itu+20O9053Y2Dex8u\nkNwEaQQB8pK85C1pBHlJHoJ+Om/pgwy4N8HJCe45SafddtuyLNuSJWqgKEoUx+JUZM3zPN6HXXuz\nNqsoyWO7FX+AAYt73rX3/v/XWt/6PlwudzO4l8+/4vEIer1OqkzuRzweQ6VStAV7x4+fZWJimps3\nr+D3L9LT099xexAUH1uFR1oDO73eyNmzr3Dv3nVS81IlcAAAIABJREFUqTgeT59EWd1/vY1Gna0t\nPx5PH6dOXWR9/TGZTLq5L7WkEJnL5fD7V9FqNXi9PsbHj/PgwZ70vlCh2rsHy8uPOHr0BNHoDkql\ngmq1Qjaba/Z3Ce+n2z3A3NwmqVTqwOtsNeRtVfNrpcc+DZ0qTc/ap9UKsZ9zj6or0BKfpzHpuQuo\nzGZzW4Wq1Wy1Vquh1+u/MCPer6JCJQZS4mD4aYPAarXK9nYGs3mvChGJRKhUBHpWK4rFPAaDMHkV\nqIAl/P5b9PUdp1gsYDYLmUafb4zNzVU0GgMGg5lweLPNLb1arWE0ukgkQtRqVTQalbRvr3eYSGST\narWK0WhHoymj1RrIZhNUKg3c7hHKZbh69WMcji4qlTz5fLs/AwgVOovFRCoVpFwuMj//LvV6iZ6e\nSc6c+QGDgyeYmHgNlUpLuRwlEFihUimQSMQYHj5OMlninXfelSgbX/f+uZs3b7K+nqFeL3DkyAvU\nag3C4XWMRr3EoY7FQhiNFj766G0ajTIvvfQ9KpWyJD8sIpWKd2z8zWQSWK12IpFdNjYqTaqjGrO5\nH6WySleXm1SqQDq99zHP5xNYLL2sr9/DbvegUmmo1fJYrQ4KhTx2uxOVSkGpVMJgcFEsJimXhd9U\nqKZUcbu9JJMbBIML9PQMYbHIefTJZBy320cutxccOZ1u0ulyR2GKeDxCoZBmevo86XRn2oLBYCIa\nTcsGiE59bKlU6kvzgxLxRQwurRVNi8XSNMD88oyCv8GvHs9K9TsoKBLp4zqdTgpcRIjjZydVv07i\nFq3HEz2o9u+vUhH8hgRK39640Rq4TU+fx2Kxsr6+TDQalipvrcdJpQQhIyFIlFfWyuUSKpWggmo2\nW7DbbczOtvtHtR47kYhI3kB9fUPYbBYePuxM/fP7V+jtHcDt9uLxeHn48K6U9DIYjCgUSgqFAiqV\nir6+YZaX70pU5NnZTwiHN/jhD/9v9HoTm5t7wgpKpYITJy6yvPxQFvB4vf0MDk5w5857bZNZQeii\nRCTil0mN70e1WiUU2mFq6izj45N8/PE7bfQzEPyp+voGO+xBQCQSpKenv3m9Wtn1JhIxKpUqZ868\nzLe+9X30eh3Xrr3FvXs3KRYLhEIB7HZ3U5xALQXMrfs+qPdKOLfAgWbBAwOjHD58gp2dDXZ2djqu\nAxAIbEn9VY1GvS2wczrdWK0u4vGErJeu0/VubCzj841iNls5dGiC2dmbsmdUeB4MrK8v0909QLlc\nZnj4MPV6Gb9f6K+r1xsSu6dSqbCxsczp0y/h8fSwsDCH0WjCYNA3E9M5qRdPr/dy5cqNp37XO6n5\nfdpxZn+l6Vn6tPZDtEZopSWKvZfPA567gMpkMkkiA7VaTXJzB2HibTAYvjb9UU+CWC1pHQQ/a/9O\nIpGgVrPKrnt9fQ2ns69t4G0NqABMJg+JxDYmUxcqlVoqzbtcbnQ6LcFgAIdjgEhkA4PBRL0uyFEL\nHwhwuXzkcmEymTRG4x61w+HoB8rEYhGUShV2uwONRkUstotKpcLjmUSvt7G7m2N5eR6bzUUk0pl+\noVar6e3tJpEIsrBwtZnN+w7VqvCim81dKBQ19Ho7p09/j0YjRaGQJxBYwuMZBPRcv/5QovZ93Z+P\nK1c+JhLJoNFoOXToNDqdllRql97ebqlpOBrdJRBYx263cf7866jVarLZFHa7nNqXTMakLF0rstkM\nNpuDd999h1LJRSYTYGTkdVKpKEolGAw6Dh06QSDglwQhcrkwXu9RwuE17HaBe99oFNDrLeRyacxm\nC2q1cI8FdSMHweBmc8KfwGy24PfPolQW6Oo6jsXiIp2WmwCnUnH6+8cpFFLSIGK1OigWVdLkQ5i7\nCe/I2toSAwMjaDQazGZrx0qnoGymbjMIBnnVx2QyUa1WpYnilyFg8UUHa2q1GrPZLA2CIiWsNbB8\nXgaz/6xopfpB50rRk4KiVpEKscLT+hw+ier3NMU/ARpaH2tBVEKgjuXzWanvVqRat45xZrOVyckT\n3LhxhWi0/d2NxyOYzVaUSpXs/MSxX6vVEovFsFrtnD79EolEUJrE7odANbbJAs6pqXMEAn5isahs\n3Xq9QSCwyvCwYJp79OhJIpGAdI5iUsNgMFCr1Tl0aJJsNsv2tp8HD+6SSAS5dOlNTCbBN+vRoxmZ\nIq7VamVsbIp7967JvjMTE9Oo1WYZJbBer3Pnzgf09Xk4f/43uX79HUl8Yv9vUi6XCQRWGR09yqFD\nx3jxxW+zubnI9evvUSgI86ZYLIRCocbpdLXtQ7znAh1wj6HQer3h8DZms7PZd6zj+PFzXL78PaDG\nlSv/zuzsTWw2p/T77Ec0GsTtPliNMRoNPrH6VCoVOX/+ZYLBDe7cudGmbghChU2k+wm+ae2BXb1e\nZWxsnNu3r7d968XrTSbjzd4yM+VymdHRo9TrZVZWHsuC/3Q6RaGQZnT0CLVajXw+z+HDJ3j8+F4z\nSbdXoVpbe4zT6cRmc3Ls2BnC4U2i0ZBkVq/T6SiVSuTzQqXv5s2HLC11fqb3Q2S4CB6MjWfyjdqP\nVgEMse/4oD6t/Wjt2xJbbVo9T3/d8dwFVMJkTcv3v/99fv7zn0sZo8/qEfQ0fNEVKjHjJw6QokHi\n56mWBAIxtFp5Y+Pu7hrd3Yfazr1YLMroAuVyEYPBRCwWajN+9flG2d5ex2brJZncRKczUa3WUCpV\nKJUKlEoVTmcf2WxEUvgTYbf3olRWiMcjzX93odericd3m9nEARSKMtWqg08+uYHL1d1xQBUxMNDD\n7u4qKpWSQ4dewGbrolAQDO9stm5KpXRzoqHj4sX/i2o1x8OH11CpVPT2HmdnJ8nKyrN9lH6VKJVK\n3LixDBQwmez09AiUzXR6h/Hx4WYGqsiNG+/j9fZx7Nh5AKln0GaTV6Oy2VSbL5Xw9zRQZ2MjR6NR\nxmYbxmTqIhbbxmy2olIZsNu76esbZGtrjVwuSy4XR60W/p5OR2g06igUJfR6C/l8a6+EYGhptfaQ\ny8WoVCrEYhEymSix2DIXLvwfZDIpjEYnmcxeQCVQmorYbF3o9QZJ1EKgNbjZ2JD3F5RKBUKhbWnS\n43R2P4E6qn8idUL8juj1etRq9Zda9fkyAhxxEDQajU0p6+xnksb9Bl8/iDS/SqXSMWCCp1P9WkUq\nWg1+RWPgg6h+B4lblEolVCpVM/uspdHYo5wKVTTR9Dcn9VVWq9U2I+F8PsvIyAQnTpxnfn6Gra0N\nacyq1+skk0IlXaPZGx8FY9YyWq0OhQISiSg2mwOtVsuZMy/z+PFdksl2qptQGZFXPvR6IxMT09y/\n/4lsYr69vYHRaJZ6T7VaPUeOHOfBgxnZ5FvYpoHRaGRy8iQffPAfbG4+5sKFNyTBBMEexMeDBzdl\nxx4bm0Sl0rC4eEf29zNnLhGNRvH7H0nBVKmU4ezZN5icPEF//zjXr/+iLagql8sEgwGUyhper1B9\nstmcXL78fSwWCx988HO2ttbZ3Fyhp+fg6lQwuElXV+eAR6FQkkxG6esbRDQHrlTKGAwmTp68xKVL\nbxIMbvPo0T22ttbb5h+VSpl0Oobb3bl/qlwuPXG5cH7bDA0d4eLFNymX81y//p6syhSLRVEqldjt\nLlng3Yp4PEa1WuHixW/TaNSYn+9cpQwENhgePiyZIZdKRalnL5/PNe+JgrW1ZXp7B9FoNFLg6XC4\nMZutzM3dpl6vo1AoqdWqrK0tcvjwNCA8V+LzJ7xDAvXQZDKh0Wi4d+8GAwOHuXdvg0SiM31zP0TB\nFq1WK/ON+rSiE60CGGKf1tMCq/2S6c8T3Q+eo4CqXC7zj//4j5w5c4aZmRl++MMf8sYbbxzYdPl1\ngyBjXpQ4pQaDQaqWfJ6ArV6vs7mZkNT9QOhVyWYTuN1yhZ9qtUqlIhg2AhQKWfL5KH19RwgEltp6\npKxWJ3q9np2dCNCgViui0WhkPHat1ohWqycW28Fi2ZvMG412zGYz0eg2tVoNo9GO0aghm42h0xnR\n6y0YjW70ejebm8JENx4/OKBKpyMolXVJsbDV4Ndm6yaTiWA0WojFwuh0Vqan32RnZ558PkNf32ES\niRLvvPPeZ77PXxWuXr3K9nYGq7Wbnp5DKJUKstkYSmWZnp4+KpUKMzNXcbu7OX36ZQqFPIVCnng8\njMlkQaWSvw+ZTFKmBAhCMKVSqbl//y6ZjBaFIktf30nq9RqZTASLxSz141mtDjyePlZXF2g0ChSL\nOXy+KRKJLUqlXHMCryKfz2Gx7FXCGg1BtCSXC6HX64jFtkmn/QwPX8RgsGI0mqhWlWQye5nhZDKO\nxWJFoVBgMjnJ5fYGEJerh81NOcVjbW0Zj8cr9QQ6nW4SCbnEsAit1kQ4/PQBqdFoyBp+RQGLzyNb\nvn//X/YAIypn6nS6byiAv+YQs91Po/odFBR1EqlQKBTU63WpynSQgMVB4hbi8QQvmgIq1R7lT/Qb\nUiqVVKs1yuUSRqOZer0u0YFECKJCwljS2+vj/PnLPH58F79/pUU4KIPd7pJdd6VSRqVSSqqCqVQc\nh0P4XtntLo4cEcxY9ycTotEQ3d3tQgZDQ2Po9ToWFx9Kf9veXsPnG9233jgqlVAVF++RUMHToVKp\nsNtdTX9EB42G0Bcj3pfJyVNEIruEw3I/p1OnLuL3LxGP7/nyabU6zp+/zPz8Ld55539SrRa4cOFN\naa4zMXGCvj4hqBL7rcTAYXPzMYcOHZcdQ1AjvMDp0y/z6NFtZmY+lqnf7UcoFJB8kfajXq8Ti0Xo\n7e1Hp9Oj1+ubdNQ81WqFer3GwMAhLl16g2h0iytXfsbW1oa0fTC4i83mPHDeFgwK3lgHLRdMcrO4\n3V60Wi3nz7+OyWTm2rVfSgFOILCBx9Mr+332P8Pb2356egQGz9mzLzVFKvyydcrlEuHwDgMDI4hm\nyHq9HpPJSnd3P7dvX5eEXoLBDUZH5f3LWq2WU6deYGtruckiquH3L2O327Hb9xLgQ0OH0WrVLC09\nbNlawfb2Onq9jvHxaVQqF++/f4tiscizQFTa+yLU/Fr7tKrV6oHG82KioZNVw/OC5+JK6vU6J06c\n4O///u/5q7/6K8bGxvjd3/1dKTD4OqNVtl2hUEiKfV/UQxaPx9nZyfL48T2WluZJpeKsr69gtXra\njlEoZNHrDdLHZXd3ma4uH17vMSKRJQwGocLUaAj9UZVKmb6+IUKhLZzOXpLJ3Y6TQZPJRTwuD6gA\nHA4P9XqZRCKGSqXGajVTq5VRKIRJntt9hFwuQKPhYXb2No1GjWy2vYqQzxfY2Fikr++QbAJusdhJ\npeLodEZAgUIhKEJptVpOnnwDk8nI++//P/h8R1AotMzPB74SxcbPc4x/+qefNauAany+owAEgyv0\n9/cBDT755D1UKgVe7yBGo2B6rFKpCYV20GoNzeZb4fjlsmBcuL/3LZWKYTAYuX9/o9kErsNm8xGN\nBlCrtdTrBUymvSDM6XTTaOTI5wWlr66u4WYQ7cdisVMqFZqS6EbZcczmLmq1MolEhI2NGU6ceAOH\nw0OtVsNstpHLVcjlIi3nFZcywkajQ9ZH1d3dRzgclyaCCoWC7e01qToF0NXl7piZFvZnJhjsLFpx\nEFQqlUR9EGXLRWXAz/obf9nPX6srvU6nO7Ci8Q2+/mg0GpLq1kGVoicFRSAkIvdXrpRKpRQwtZqt\ntuJpNEDxeKlUDp3OIE0s6/W6tL9sNt3M7DcolyttLAyxP0qsWjmdbs6fv8zy8hxLS49oNBqS0JGI\nVln1vf3EJbVTEEQcrFYLc3O3pb8JMtdZXK7OvTtTU+fw+x+RTiebfUJRiTK2f73V1QcUiwUqlYp0\n7vV6nbt3r3Px4quk0wlKpQKVSlXqe9NotExOnmZu7oZsQms0mpmYOM3s7Ieyvwsy3kV2dpaYnr7U\n9htNTJygv/8IH3/8C3I5QYggHN6hXi/h8x3qeI1ut5ejR89iMGiYmblGILDZtk4ul6FYLOB2d5Y0\nj0aD6PUmKfmqVAoeVjqdnkqlyubmClZrFx5PHxcv/iZHj55keXmWa9d+QTQaIhIJHGgGDEIw9yQ6\n4M7ONm53t8xY+uTJi/h8g3z44TvE4zFCoW36+oapVisolYqOVdtgcEu6T4JIxcvMz98mmdwbI7a2\n/LhcXVLCrvV6p6fPUSikWFx8yOrqIlarHbPZ2tYDqNcbmZw8wfz8bYrFIo8ezTIyMkGroh/A9PQL\nrK7Ok8kI859Kpczi4hzHjp1Dq9XS09NHoWDm+vWZZ1Lia1X4+6LU/MQ+LbNZoD+KAhjimCMyrp5n\n245fSUC1vLyMXq/nt3/7tw9c5yc/+Qlerxebzcbv//7vS31QnaBUKnn//fd59913efPNN2U0vC9b\nNOKz7P+LlG1/Gvz+TRKJHCpVnWx2lxs3fsbNm+9htQ40z31vXcFHQfg41OsNotEVvN6jWK0eqtUi\npVKmmVUUlGY0Gg1OZxdKpQK12kEisd1y5L19a7U2qtUMarWacrlINLrN7u4qtZqCej1PLBZp3hcV\nJpOGQkH4aDidQ9TrOZzOKfz+MGazhVAo1Ha/FxZmGRwcxucblAx+Gw3BKDaZjFCpVLBaPajVDfL5\nFAoFaDQ6+vsnicdXiEY3sNn62NqKc/v2bb4KfJaPSCwWY2kpyODgMRSKKl7vOADJpJ+hoUHu3buB\nVqumr2+wRQZd4HpXKgUcDjeFQlFqak0mo21BLgj+VclkkmCwiF4POp0Ng8FKJLKF3d5LoRDHZJKL\nRahUwvtZrwtJDKezn2RyA5PJ2pSV7aw6ZbE4uX37Z3R19dLdPYpSqWz6tAxRLJYolwukUnEajQbJ\n5F6m2Wx2kc/vBUdWq5NKRaCbgCCVLvTw7VF4DAYjWq2GVKo9cNLp9ORy5Za+j87oVEFqlS3XarWS\nMmAn2fJnwZc9wDxPA9h/ZpTLZQqFwhNV/Z4UFB1UuRJ6CmuS0umzbtfpeOl0Dp1OJzWft/ZHZbMZ\nDAYz1WoNhYK2iW06ncRgMMkktW02F+fPv8bKynwzY1+XKIONBhSLJZlgUz6fo16vtvWJTk+/QDwe\nZH1dkJ0Oh3ebY1nn8XdPcOAWW1vrdHe3e9qBUAHzenuZm5uhWq1IQgerq49RqRpMTZ1nePgICwu3\n0Ov1LWa5Rfr6BjEabSwtyellw8NjGI02Hj36hHq9zsLCfWZm3uXChcucPfsbHUUqAI4cmWJo6BjX\nrv2cTCbF8vL9prH5wQgE1nnxxd/g5MkLPHw4w+3bH8mqHjs7G3R1tfdeiwiFtjvKnQsCCrpmf5SH\nUqlMrSZQDy9f/j4DAyPcvn2N27c/xmJpp6CLiMV26e09mI4YCm11VCccHz/B5OQJrl4V7oXD4ZIs\nUfa/N6HQLmq1UFEU4XS6mZg4yczMhxJ9cGvLz+Bg5+BUo9Fw9uxl1tYesbQ0T0+PT6LIArLAyucb\nQ6lscPfuDcxmEyaTnXxe7nlltdoZGRnn3r0bAKysPMThcLYElwr6+kbZ3a0SCOw8VYmvk8LfF6Xm\np1arpZ7jYrEoqeR2ovuJx31e8CsJqP7oj/6Ic+fOHXgj3377bf76r/+aK1eusLGxwdraGj/+8Y+f\nuE+PR5g4/Sp8oZ4VBxnFPkmx7/NeTyJR5cyZN5icvMCpU69z6dJ/IZ3eIRLZakpw7kGoUAmZpWh0\nE73egNFob9KcbGQygheUVquVZRMtFhtKpYlCYU+1TX4NBkqlBLOz73Dv3v9id3eedHqTSiVLJLLE\n/fv/ht8/Ry5XwG43k80KE1693oJeb6dQSFEuWwkGt9soW8lkgkgkwJEjJ/D5eshm0xSLWSqVCiaT\njUIhjUajxW7vplLJolA0pNJ/b+8RzGY3c3O/xG7vJ5ks8MEHH3/me/1l42//9qdks1XMZi8WixuD\nwUK1WqFYDJPPZygWU5w5c5lUKtZG40un43R1CXL1YlPrzs52M9Bp7Fs3ycrKDsViDrO5B6PRQ6VS\nJpMJYzY7aTQa6PU22TbJ5DZWq4tKRcg8W629lMthGg0V2WyybUIjPNMKCoUaicQWPt9p2XKtVo/D\n4UCh0JLNxonH41SrZSnzabG4KRSS0sdeoAH2NOkjDba2VhkYaDettFpdLZ5m+6EnnU4fsKz1vDuj\n1RBRlC0/iP7wpP1/mQPM88ZZ/8+Ker1OoSB8a/f3HYl4UlD0JJEKkfJ3ENXvoIqXeLzWQCOTKaDT\nGajX6x37o4xGA9VqBY1GPgYKze4JrFaHTE5aoRCy+ufPv8ba2iMKhb3JfrVaaQZme8FjLBbtaOir\n1Wo5e/ZlFhbukk6niEZDB1anRBw6NEm9XmZ+/g79/cMHrnf48ElCoU2SyURTCS7H8vIDpqYuNJcf\nI5/Ps729Jklrix5HR45M4fcvtiV9Tpx4gY2NNf7jP/5fYrFNXnrpu/h8Yxw/fhq12sy9ex90PJex\nsUkGBiZ4551/AfZ6pzpBEDPaYWBgFI+nn8uXv49KpeLq1X9nY2MNgN3dTXp7nySnviOp5+2HoC6X\nZGhopHm9JZmH1Zkzr2Aw6Ll37xPm5m7L+p4AotEwWq2mo4gSCBS8ZDJKT4+v4/KBgUO43X2kUkmW\nlhZQqzVtQhQg0P06URqHhsbo6vJw69ZHxOMxisXcE6XlnU43drubnZ11BgdHpcB5f+WnWq1y6tSL\nzX6oMUlhWKia7onNjI9PU6+XmJ+/x9raEkePnpXtR6FQ0N09yv37m9K42EmJr9FoSO9jJ3wRan4g\nBJWihYdo97MfSqXyuRqPvvKA6p//+Z9xOBx861vfOnCS8fd///f86Ec/YmJiArvdzp//+Z/zd3/3\nd5/peF+HCtV+f6OvyihWyJQjBUkg+Pj4fEcxmy0sLFyVvSSFQl6asIZCK3R3jzX9D9LYbP0UCmEU\nCth/yrWaIKtdrTZIJOST1WIxx+LidSqVDBaLnbNn/0+OH3+Tw4df5cSJ32JoaJKeniPE4xs8fnwF\nm81OsZigWhWCva6ucWKxZazWSba2IsTj8v0vLNxnZOQwGo0Om82IWq0jFgugVqswm22o1WpyuQwW\nSzeZTAyz2U4qJVQ2envHUCjqaLUGisUkGo2RhYXgF9IL82XgnXeu43AMkEjsMDBwDIB4fBeVqkQu\nF+Xs2VdRq9Wk0wmpkgPC5CuTyTSDrL2m1lIpj8FgIZvNyYwDw+EAkUgRu70blUqD2ewhkQiiVutR\nKIoYDO3qT8nkNr29R+jvHyEQWKder2CxWEkkdsnlsm20QoBsNk6hEEans3QUxnA6u6lUFBSLGQqF\nLFarjVKpRKlUQqlUo9Hoyef3KKBWax87OwHK5QqRSLBj9tDlcpNMdu6jUioNJJMHC1OIeNo72ypb\nbjKZqFQqJJPJzzQofdFoDai+romnb/Bk7Ff1O2idYrH4RD8q0bdpP8TvX6cJl7jd/opXJ8U/ISu9\n97ztpyRms2nUan1zYttu+lso5NpUSRsNQebaZnMwNnacbDbJ6uqiVAETrndvfaHvsr0KD0I1aWxs\nktu3PyYW69w/1QqlUsnY2HHW15ewWtuDtNb1xsePs7Bwr1lRmqOvzyexBoSepbMsLNyhXC7T6nFk\nsdgYGBhnZuZ92fsZDG6Tz2dJJnc5d+51mRnymTMvkUgkZL5Vwr0SfpP+/iFUKhW5XIZ4XK5W2Aq/\nX+g5FcUyBGr8RU6ffpmVlTmuXXubeDx6YMCUzaYplysyeuXeudQJBPxNz0lD83oNMk+nUGib48fP\nc/myYPHx/vs/Y3l5QRIDEUyXD/6Ndna2cDq7OlYORRQKWV5++TssLT1gbW2xbXmtViUUCuDzjXXc\nfnr6PPV6mY8+eo/+/qGnMorUag02m5OtrXVpzicEkkWpf1GlUlEul3G5nIRCO0ADlUop3R+hD1pI\nnpw69RI3b17B4ejCbLa1HU9Qz/Vx/focSqVSkiZvVeIT6X5PG8c+j5qfiNaxEIRvQjqdlqp1z1P/\nFHzFAVU6nebHP/4xP/nJT574ozx69Ijp6Wnp31NTU4RCoWdWMVGpVF+LSbGo2CeWTT+Lv9HnCQhj\nsTgKhfzDv7u7gV7fxZEjr6JUVtnYuC8tK5WKGAxGstk0mUwQm80HKKlUylitbkwmK7HYtmx/oiz9\nyMg4pVKDZHJP2jydjvDgwS+AOkePvopabWh7gcxmFyaTDYPBh9t9iEolTLEYl3ql3O4xisUwXV1H\n2d0tkM0mSSQE5bdkMkEyGWVgYKx57gZsNjP5fLz5waAZQMUxm+00GnU0Gq1k8Op0elEo6gwOniOd\nDlKr1QmFCly5cuUz3e9OaDWV/jyT6ffee4+NjTBjY68CRbq6fGSzaR4/fo96vcyZM5fR643NwL0g\ny8pmMkn0esM+c00FhUIGj6enKe1bJZvNUiwWWFlZJp0uMTR0kUIhjsXiJp0OotFYaTRyGAzyZyqT\niVEqJenvP4nN5sJoNLK1tYTXe4hYzE8+3x5QNRp1VldvMjx8mmIxh07XPgi63T3U6woymRCZTAqX\nq1saZEqlEhqNXqL4Cev3srMTIhDYwOFwybjtIrq6umXbtMJgeHof1aet8IgytVarVRqUnqQM+Kuo\nUD1PGcL/DBAV/UTKUqfxoVwuS0aa+9EqGrEfYpWp07gjCht02k70kmk9ntAfpDhwLM5m05hMVkk8\nQoRo+lsq5WXViEYD6nXBi0oY4yucPHmBlZWHPH78EI1G0za+7E8u7cehQ0dRq5UEAlsyitdBSKdT\njIwc4sGDztTwRqNOpVJmbGwSnU7F3NwMweAmExMnZet5PL04HG4WF+9KfxOVRI8dO4FCoWJ+foZi\nscjt2x+zvHyPN974IcePX+Tu3WuyfWk0Gi5ceJ3V1QV2d/cEHmq1KvV6g4cPbzM1dZbTpy9z69aV\n5qRdjnq9ztbWMsPDE23L3G4vr776g2bQs8vS0qOOY9nu7gZdXd6Ok+RyuUwksiurHrV6OimVSnZ2\nNrDb3RgMJk6ffonz518jHN7mypV/JxDYJBxZIqiqAAAgAElEQVQWzIQPwu7u1hMrcIL0uAKv18fl\ny98jEPAzNzcjW2d7ewOr1dJmNi1CqVRy5szLrK4+kszmD0KhkCcS2eGVV36ThYV7FAp5qSIpBEpC\n/5xarWZ1dYELF14jn082WRYKhMBKJd2ffD5HuVxBo1GTy+Uk5cz9MJttVKsurl79hGq1KgkoVatV\nkslkMyH57FP/Tmp+n4Z1IaLRaEgCGJlMhlwu99yNPV9pQPVnf/Zn/OhHP6K3t/eJNzKbzUoGpYAU\n3WYymYM2kcFkMkmeMl8VBbD1GLVaTVLsAyShia/a32h7OyGb/AoKPNvo9V1oNFrGxy+TSKwQi+3Q\naDQoFPJoNBqCwWVcrn70eoPkFWIwmOjqGiISkSvd5HIZ9HojLpcHs9lDICBkfeLxXRYXrzAwMIXF\n4qOvb0zqb2qFxeJGpWoQDu/Q0zPKmTM/oNFIsb4+DwiCFlqtkXh8E5PpFMFgkEhE6KN6/HiO3t4B\nSQLUarXidNplx7HZnGQyQiAu+lGJUtwajQ6rtZtqtYTbPUS5XCWX0/LJJ/fbzvOzotVU+rNykgH+\n+3//J0ymQSqVBlqthnQ6y+zsB8RiC4yOHsPpFOgqiUQIq9WOaBIIdOyVEqtWdrtD+mgbDEYSiRjr\n69GmApADpVJLva6gXM6hVBqp1/MYjfIJytbWHEajE4NBCJp6ewdJp8MYjS4KhSSFQlYmxQ+wvf0Y\nlaqOxzOOWm2gWm035VWrtXR1DRAKbZBOJyTlI3FQslq7SaUi0sDkcHjI58v4/UsHmlLabA5Kpc4m\nwAaDiXA4+aV8L8Q+SZFGkU6nOyoqfdWUvOdtQHveIVL9KhVBxEGtVrPfiPdZqH5PovOJVab9NKGD\nKl6dlAJBoBvNzc0yN3e3bQJWrzekXpb9VL9KRajalMtFWUAlUPoUUnIqk0nh9fo4e/YVVlYesLMj\nt00QziGGw9FeMWmF1ztIvV4hEGjffj+CwS3OnXuFTCYhU6cTUSqVmxU3JVNT55mZuYbXOyBVfVpx\n7NhptrbW2hI8SqWKs2cvsb7+mA8++A+y2SgvvPAdHA43x4+fJpvN4fc/km1jNls4deoy9+9/TCoV\nk1gxgYCfcjnL5OQZBgZGOXnyEvfufcTW1rps+0BgE61WfaApsDDG6nntte+RSAS5cuXf2d2VKxIG\ng9t4PO3qgGIgnk7H8Xrbq1sKhYJarUq5XMbj6aVQKFAqlbDZXFy8+CZHj57i/v2bLCzMo1Z3rj5V\nKhXi8TC9vZ3pfiBQ+bq6elCpVFgsNl566TskEhFmZj6WnvXt7XX6+9up4q0Ih4McPTrNysqCTKRi\nP/z+ZXp6+unp6WdoaJS7dz+RrldMqqtUKnZ3A6RScYaGxpmefoFHj+5QKhWbY7gQWAleVwaWluY5\nfHgKjUbJgwd3Djy2xeLg2rUH3LhxR+qXslgsWCwWKpUKtVrtU/f4tqr5VSqVNtGJJ0GsiimVSqlP\n6yBV0l9nfGVXMzs7y3vvvccf//EfA0+mm5jNZlkvg+gPY7G004Y6wWg0SsHMl41W+oxo+FksFqWo\n/svyv3oaqtUqu7s5TKa9iXQksotarUarNaNUqtBqjfh8p1lbu9mkwQlNicnkFl7vhHRthUIOg8GA\nyzVCJhOkUtnjNudyaYkmODw8SSoVY2dnmbW1jxkbu4Re78RkMmKz9ZHLRduCCZuth3pdUFjSao2Y\nzS6OHDlNsRhla2sBAIdjhGj0Mb29x0gmFUQiQeLxGNHoLocPTzfvsaAeMzjYSy6XkEwSbbYuqSdL\nCJ6EJuVCQXg+PJ4RQqFlpqa+TaNRpVrN4fenn1l+9CCIMsDihNloNEoy28ViUfqoPQu2trZYXo4x\nMfEtEol1KhVIpSJAmr6+Lk6ePC+tG49HsNnkmdZkMtZGUclm02g0OlnVSqVSEQptkMspGBp6uekt\n1kU8HkSvt6FUqimXMxiN8v2Hw49xOEZb9qOhu9tBKBREq7VQLsv9UIrFLDs7DxgZeYFUKonD0UM6\n3blq5PH4SKcT1GrFDiqBLur1vCT/XS5XUamsRCI79PUNddyfQqHAZnN29KMS1Lg6G/yK+LwBj0ij\nsNvtaDQayQ+qXC5/ZYmfb4KoX08ISS8hmBLN3kVPGfG7+iSzXXiySEVrlUlU+nvadmKg1el41WqV\nsbEp1OoGH3/8jlTZEM+xWi3JzGFhz/Q3l8tKmXnY+56qVIIdRr1eIx6PYDSa0euNXLr0G01vo70g\nJ5vNNN83ud3HfqTTSY4dO8mDB7ckalUnZLMZisU8PT0DTE+f5+FDeZ9PtVqlXq+3UBsVaDQqWZ9X\nKwwGI+PjU8zN3WhbptXqSaczRKNbXLr0XTQaNYVCnnq9wenTl1hYuNfWZ9Xd3cPhw6e5detd0ukk\n6XSS5eVZTp16WbqPHs8A5859i4cPb7GysheUra8vyBRRO117LpdidPQoL774JhMTJ3jw4BNu3Hif\ndDpFsZgnk0nR2ysPqPYSimmUSk1HajfAzs4mLpdXsosBpF7znh4fw8Pj+HyH+OSTK9y5c6NtfN7Z\n2Wp6jXVWdq7X6+zsbNLT45MogVqtnosXv0O1WuCTT66STqdIpWJPDag2N9c4cuQkk5MnZCIV+4+3\nubkqSaUfOXKSarXIyspjYM9zTafTNcUtxiiVSlitTnp6erl/X6icCeIVQmCVTqeJx4NMTZ1tqv49\nZGNjlf090ACPHs3S1dVDKKRidnZeepfVarXkhdUqGPFpxh5RzU9oGyg9U2AlyrS34stueflV4Cub\n6X/wwQesr6/j8/nwer38zd/8Df/6r//KmTNn2tY9evQos7N7fOD79+/j8XhwOA5Wf2mFyWSSAqov\nu0Il7lvgAQtSsk8Tmvg0+Kznn0wmaTSsskEuHA5gtXYDaolL63INodNp2diYw2Sykk5HUShqWK17\nmapiMY/BYEar1WOxOIlG9zJTudye0313dy8KhZY7d37G8PBZ7HYvmUwao1HY1mAwyoxaAcxmN5VK\nDoVijxLX2zuKRqMgn48RCq3j8RwmmdzAZvNSqbhZXp5le3uD/v4h9Hq52bDRqCaXK7K7u9r8twWo\nk89nsVrdZLNhLBa7lFnq6TlELhfGaDQzNDRNMhkkn7dz9erVT33PQe4nBqIflk7KzhiNRgwGwxOr\nFPvx3/7b31IoqHA4fCSTu+h0NhwOF/V6BJerG5drLwObTEbbKC7pdLyNzpJMCmaX+/Hxx+9Tr6vo\n7j5GIDBLKORncfFDwuEAhcIuWq1ZprpVKGTJ5cJ4PHLOucWix2JxkMlUqVblfUl+/z3c7kFMJieZ\nTIqurkFyuTCd4Hb3UK2CQtFe1bNYusjnk9LAJARWRkqlojRx6wSHw32gSXSjoXuqMMUXgVapWp1O\nR6FQIJVKfSWy6c/bIPafBZVKpRmIVGXVoNaAqhP1TsSTKlf7q0yt++wkNiFC/Hbt749qNBpEoyls\nNhenTl3k/PlXCAY3+OCDtwiFdsnl0pLJ9N457Jn+5vN740qjsUdhFIO6er3W9DwUPK6sVgdnz77E\ngwe3CIUE2nk8HmszMu+EWCzE4cNT9PcPcefOwaJEOztbdHcLdiPd3V7c7m4ePLgrXW+5LK/8LS8/\n4tSpC2Sz8bZqjoiRkXHqdVhd3QtuyuUS16+/y7Fj0/T2DrO1tdT0ODI0KZcGRkaOcffu1baxY3h4\nHI9niOvXf869ex9y7NjpFsVXAU5nN5cu/Sbr6wvMzd0mEgmSz6cZGOisWAewtbVGT0+/9Hv19Q3z\n2ms/xG6389FHv+DDD9/BZutq8zkUpOMVhEJbT+x/Coe3pB62VksHMYmwu7vF6dOX+Na3foBarebK\nlX9ncXFe6q8KBDaeqP4XDG6j1Wpwubpl7A21Ws3582+g0ah5661/xen0PNG7NJmMk89n6O8fZmho\nnK4uDzMzH7Ulire2/BiNBmncFeTbX2RpaY5kMi7RdXO5LIlEiPHxKSmQHBk5SiIRbgZLSPdkcfEB\nPt8YWq0eq9XOuXOvMDt7nVAoJOuBTqcTBAJrHDt2AY9nhMXFLPfv7wVVokJnq2DEZzF5F+ns+9X8\nOo1homR6K/ZLyD8P+MoCqj/4gz9gbW2N+/fvMzs7yx/+4R/y3e9+l7fffrtt3d/5nd/hpz/9KQsL\nCyQSCf7yL/+S3/u933vmY5nNZnK53Bd5+m3YMxbcmzgbjcavTdQdCiVQqeQT5nB4E4fDS6WiaD74\nwkfg0KFL7O7Oo1IpCYfXcLuHZNvl83nMZoGy5XQOEo/v+VMUCnkpA1irVVGrFZRKRclgN5tNS82T\nJpOLVEo+kRUCDQ2NRpVsVpjI2mxutNoaLtcw8fgGjYaWRqNMOh3CYBghGBRc4gW/Bjm6ulxYrSbm\n5z9gcXGOUqmE2Wxr9lE5qVRKGI0m0mkhsHM4elAo6sRiIc6c+QHFYoFIJMmNG3Of6n6LNM9CoSBV\nJw/qlRMnPGKVotW/aD/y+Tw3by7S03OYnZ0NarUchw+fwe+/wZEjk7jdPbIPleC5Ig+oBGqNfFBN\np2Mdm7WXlzcxm31sbNyhVssxOnoRr3cEh6OfZHKRVColq6wlEgEUijpO5x63vVYro9GoGRubIpst\nU6sVKRaFqk8yGSGTCeDznZDOradnlEIhLat8ilCrtSgUGkmZsRV6vQWoSfQ9YbA3SPcjl8tJzb+t\neJIwhUZjIhI5uFfziw5IxMmD1WrFaBQqcGLz75chYLH//L8O36pv8HSIVD9xYtI66RODn4OodyCv\nXHVatr/KJO7zSRUvsUe4k1JgpVIhk8lJ7AW7vYuLF3+D4eHDzMxc4/79GXQ6w75typLpbyaTlvpY\nqtUKgo+gEpVKOIdUKiGNSTqdjnK5jMlk5cSJC9y7d51YLEoyGT+wIiIinxcsJOx2F5OTJ6nVyiwu\nzndcNxQKyHqAjh8/QySyTTgclCp44renUMgTDG4yPj7F8eOnefDgVkdGgkANPMfS0hzFoiBac+vW\nBzgcDqanX2B6+gKLi/ebFR6BLqXT6RgcPIRSqWd29kPZBLbRaDA0dITd3SCZTIT+/s5Bktls49Kl\n75FKhXnrrX9hdPTIE5k0W1urDA7Kk2ZqtZqJidNcvvxbBIMbbG2tsbT0sOl1KPS7CdLxOsLhnQPN\ngKvVKvF4rE09UEyU1etVstlMU/FRzdTUBS5e/DaxWIh33/031tdXSSTC9PcPHXj+fv8KXu9gW8An\nHufMmcsUClmi0aDEXumE9fVl+vuHpXs1PX2BRqPK/Lxc6t7vX2J4+Ijsbzabk/HxY9y8eU1KsK6s\nPGJgYKT5XgrXazZbOHHiArOzn5BKJWg0GqTTCeLxIOPjU1JA2NPTx+joYebnBUPfbDZHpVLmwYPb\njIxMoNcbUSgU9PQcYmEhw717D1oqvSqZYIRer5faEj6N/oDY9ycGZ/l8vuNcppNk+lfdAvNV4CsL\nqAwGA93d3XR3d+PxeDCbzU0amYvNzU0sFgvb24Lgwbe//W3+9E//lFdffZWhoSFGR0f5i7/4i2c+\nlslkkgKqL7pCtV+xTxxMPo3QxFeBra24zM9BKMtnAD0qlaYpfS5kFY1GGwaDnVRqm0Rik66uvQ+n\nQJ1roNMJpXSXa4hsNtgc5IQBSeS5r67O4PMdolIpk89nmssz0sTdZuslnW6vRNTrOgwGLaVSrjlA\nW1Cry6ytvUehsM3Dh/8bnc5KNLpIf/9x4nEhY2m1tgcEJpMJn89Hd7cXtVrB/fsfUi5XSaXiKJUK\nzOYuoCrro3I4vOzuLmOx2HA4hgmH/aytZZ+pUiEaM4s0z09TnWz1fdBoNNIHrdUY9n/8j/9JIlHF\nbPYRDK7R1zdKMPiYvr5BLBaNrD8gn89Sr+/5soDQ46ZQqKSJjYhMJtlWoVpenicSSWEyeXG5enE6\nfZRKRazWHnQ6C93dgyiVKra2FpqUxSqRyBoqlRGrde88ymXhmTAYTJhMZhQKrSRm4vfPMDAw3QyU\nFORyaWw2J0ajTQpy98Ns7qJQ6LxMpzOTyyUBQYGsXodaTUWpVMRkMqFQKMjn89JkFISAKp1OdwxY\njEYzu7udj/VlQhyYQKA212q1zyxX+w2ePxSLxQPFJJRKJdVq9UDqHdCiJtdZpALkVSYxoDpou6cF\nWoJHVkU6V6VSQb3eoLfXx2uvfZdCIcvKyiI7O8J3QTQnFo+Ty6UxmSySUa9KpUKjUUuTyWQyiU5n\nQKfTtUiPa7DbuxgbO8bMzAeEwwGczicLTUQiISnZpFQqOX36EmtrjyRvxL37XyCTSch6hLRaPUeP\nnubevU+keyFidXWJnp4+9HojXu8gVquJx48fdDwHp9NFX98QDx7cYG7uJkplnenpF5vLuhgYGOP+\n/b3KmeDppOfs2ZcIhXZYXp6Xvm2lUom7dz/i6NEpvN5D3L//4YHXrtcbGR8/TamUZX3d3zFpBULP\nkEqlOLC/SjBd9vD66z8gGg3w3nv/ht+/RKFQbCYMBfW/rq7O2+/ubmK1OtrYJq3Lvd5hDAaDZDtj\nMll54YXf4PjxM9y69T6RSLgpwd6OUqlAOLzN6OiRA8flYHAHn2+E0dFJPvrolx3H/kqlws7Olowa\nKQRjrxAKbUrS8tFoiHK52JF2PjR0GI1GzeLiPMVigd3dTUZHJ2XrKJVKenr6OXToMLdvf0wul+Ph\nw/sMDo5Jz5hwHQomJk6i12t59Oguer2Ora114vEwIyPHECtWSqUSr3eMpaU8N2/ek6rYIlrtPkTB\niEwm86mMfcXgTGRc5HI5GfvmoArV84ZfWUfYj3/8Y/7hH/4BAJ/PRyaTob9/72P1J3/yJwSDQVKp\nFD/96U87usAfhFbK3xeF/Yp9ItdXjPS/LKrOZ9l3Npslk1FK/h/lcpmNjRWczh7K5Rp6vaHtYbZY\nBkil/Gg0WozGvQm5YPa7NxnXavWYTDZise1m46TwMkYiW2QyO0xOfguns5vV1YeUyyWq1bJE3bDZ\nesjlIm0TRIVCi1JZwWq1E4mEqFardHcPoNGYmZj4Lt3dQ2Szu2xvf4LF4qJcdnY0ZxXv19BQH4VC\nksHBI0xOnqVczrG8PE+pVMBicVOpZIGaNIB4PCNEIqs0Gg0uXvyv1Go5Egn1gWp/Il1SDKRUKtXn\nonnup3+JgVWxWOStt26hVhvJ5bIMDQ1JlJihoUHK5ZwkRgFC9cdmk1en4vFwR4nfTCbVJkn89tv/\ni0rFyaFD51Eo6hgMXWQyIRyOXkqlIkplhUOHXqZUipJMBonFdikWkxgMbtl1V6tCQCX4RhnRam1s\nbz8mFFoHSni9QuYul8uiUinR6fRYrV3NvjA5stk0DoeXVCrcMbAwmx3kckJFKRIJ4XL1otFYCIeD\n0rNpMpkkVSWxgmg0mjv2UcViYe7ff3Sgwe+XSZkT961WqyVlJlEZMJvNfiHKpd9UqH79IFL9DjLw\nbe136jRO1mq1A7cVx7X9y8T/P2g7Ufa4E9VPlFYvFqtoNHsTwEZDqKIZjRb6+4eZnJxqmsdeJ5/P\ny76fgtWFnXK5glKpQqVSyjyDkskYNptTmqSJ743BYGBgYIT+/mEePLiDXt9ZrU1ENBqW+U+ZzVaO\nHj3N3bs3ZFn2YHAHp9PVFlgKtHMNa2uLUrBXr9fZ3l6RTZSPH7/AxsZj0ulkx/OYmJjG719jZeUh\nZ85clgWpExPTlEplVlcfSn9TKBQYjSYuXHiN5eVZotEguVyOTz65gkYDZ8++xoULr5FIpHj0aKbT\nIQFYXn7Aa6/9gL6+QT788C3C4XaPvo2NpSf2FW1v+3G5eunq8vLii9/hxIkX2dhY4tq1nxMIbLK9\nvYrHM3BgBSwY3MDjOVhMYmdng95enxRItpohd3f34/EMcOjQUT766Jfcu3ezradpdXWZ7m6PbB7T\nfo3LDA6OMzFxiuHhSa5ff5d4XJ5YW19fxeXqkuYzIvR6I2fPvsLDh7eJxSKsrCwyODjadr1iMv7c\nuVfY3d3g9u3rdHf3tgk2iZiYOIVGo+Thw7tEIjv09o50NAc+deolstkojx7dZ3X1EceOnadSqZDL\n5aVqoVCpGmV9vcbNm/c79gm3JngF+5U02Wz2UwdWYnDWyr7ZL5Eu0oqfNzx/V0TngOqzBjwHKfZ9\nnR+GeDxBvS549ggZRiXpdIT+/lHy+VIbF15QTQK1Wke1Kh84c7lMmxiA0zlEPL5NNpvGaDRRLhfx\n+28yNvYiarUWn2+CQGCRVCopq4xotcZmI76cUlWrqYAKRqOVeDyMUqlkePgUjUYBnc7C+PgbeL3n\nSKd32dy8jVLZw8bG7oETzO5uOxqNnnQ6hNls5/Tp1zEatdy58wHVqoJMJoLZ7CCRiDbXH6ZcTpPJ\npBgZmUKnM7C7u8PMjNynYr/wyJfRL9dqDPvhhx+yshJErXY0+fNJoEpPzzi9vTZSqRRud4+0fTIZ\naeuVSqVibZWocrlIqVSRVbKKxTyzsyuYzV4cjj4KhRAg9H5pNIJnlUJRw2x2098/TTS6Qjq9i0ql\nwGBwUi6XWj68JfR6M5lMCpPJxsTEOTY2HrKxcRuf71TzXgrN4KKcusXSTS7XHlDF43Hc7l4MBi2B\nwHrbcoPBQT6fbK4bpqfHh0ZjlQVLYvbMbDZLgZXBYCYSETw/RDx8OMv8/AxOZ88zK4p+kdgf7LQq\nA6pUKhk19LN+z77xofr1gthDIlZpntTfcRCdTwyYOk3wxMrK/uxxaxP7QRPDJwVawre59VwVzQqU\nBoVCSKYMDIzwyivfo1ar8OGHb8uqQkKPlTDR3G8ILCjGJejqajfiFd/1gYFRXC4XN29+2JSY7vys\nJ5ORtsqLzzeK3W6TqaiFQtt0d7cr2FUqFaamzrO765f6coX+GZPsW2wymRkdPczs7M2O5yEoGzbQ\naFTsn5aJ/TeLi7OSnYgIl8vD+PhJHjy4zszMB9TrJU6ceBmFAjQaLS+88DqBwGabRxUIyn6lUobh\n4QkmJk4zNXWBu3evScIJIFRGI5HtJwpWCAHPXv+S2+3l3LnXmZq6wPr6Iu+//xaNhqJjQqxarRIO\nB+nv79z/lMsJ8tper3DvWwNnjUZDIhEjmUxy7ty3eO21H1Kv17ly5WeSN1mtVmNra7WNfteKfD5L\nPB5iYEBg5hw6NMnRo2e4deuqLMDc2Gin8Ymw27s4fvwcN26837xf7e0IlUqlqZRn5dix08zMfNRG\no2yFUDF9ifv3b+F292AymZuV34IssNLpdFy48Drz87dIp2P4fKNS4FkoFCXPOoVCgds9wOPHGf7h\nH/4XkUhn2rtCsWfsq1QqP5M6cWtwJn4jxPMQVUmfx2Te1zcq+BzYT/n7tPi0in1flTT70yCe99pa\nEI1GmDyKg14qFcTt9pHLFSXpUfHeCJ4fQm9RvZ6X9bIUCrk2lSSn00c6vUMmk8BgsOD338Xl8mKz\neQFB6KHRKLC15W/zHzKbu0mnI9L5JpNxlEo1BoMZo1FDoSBkTuz2btTqMvm8wB0fHX0Bnc7OysoV\n7HYX+byW7e122VrhGGaMRgOp1K50nX19o7hcXqLRHba3VzCZbFIfjc3mQaGAaHQHpVKJz3eMajXB\n48dRwuGw7Hkol8toNJovtV9OnBT8y7+8RTZbQqu14XC42dx8wJEjr6DTlVEoypjNdlmGOJVKtEkE\np1Lxjqp/+93mr137BYWCirGxNwAoFBJUKhUsFjelUqEZ3Dqb74IDk8lOOLxGvV7F4eiTGsUF2l0O\nnc5EJpPCaDTT13eo6YERweXay0QKPjRCUGezecnl2pX+MpkENpsTp7OHQGC1bbnZ7KJQSFAqlcjn\nMzid3VgsPYRCnSWQxcDK4+klHN6VeOcPH84SDPp56aU3cTj6SaU60z1/FQOBUimYPO6nhn5a2Vv4\npkL16wZx8nSQ/5MYFB30Oz5JpOKgKpO4DA4291Wr1W1BWGsPl1Dh3UvciZlycRuRCq5SqZievsDU\n1Bnu3PmQR49myWYzzV4qoTLVSvUT+r0KlEr5tu9aK5LJOIcPH6Ory8WtWx+Ry+XaEhHifjr5VE1P\nv0AstsvW1kbTbqRdklvsEbLbHYyPH2V29ib1ep2NjVWGhtoDkLGx49RqRfz+pbZls7M3OXr0BL29\nwywstHtc2e1ORkaOcu/etbZlIyPjBAK7+P3zvPTSd9FotJL0uF5v4IUXvs3q6pJMar1Wq/Lw4QyT\nk6el39jrHeLFF7/DxsYiMzPXqFQq+P1LdHf3Hqiel8tlyGTS9PXt3Ruhn0xNX98Qp069jNvtJZOJ\n8957/5vV1cfSswAQCm1htTrbkrYitrZW8Hj6255D8ZmORLbxeHxNSX0VJ09e4ty51wgE/Fy9+hYL\nC3PU6xVZ79t++P3LTWn7ved1YGCU6emL3LnzMYHAJoHAJiqV8onmzwMDIzQaQg9sp3ejVdgln8/j\n8/kO7NcTUatVcTrtxOMxKpUSBoNBVqETk5iiaEmjIVAkoYFSqZB8TwVz4DyZTJrd3U26u0/x3nsL\nzM8vHJiYbjX2BT4TBV2UhheTPel0mnw+/01A9esEs9ksq1A9a8AjCk2IE+cvugLxWfAs594qkFEo\nFIhGizgc3VJfVzgcwGSyUKs12NzcZmnpoawsns9nqVRy2GwuHI4ednb2PviCZLo8oNLrzej1JsLh\nbarVPOl0gMHBPbVGi6UHvV5FLBZsm7hbLN2k0yGJhpJIxLHZHNhs3RSLwrESiThqtRaHw0k6LQRF\nJpMdg8FNKpVGqUxSr7uZnW2XmwWhX8/ptMoEMGw2F/V6nVOnLqNUavD775PJxKSsqcvVRzC4DMDg\n4EnUag2BQJZf/OJt6XnQarVSZuzLfh7W19dZWAhiNNro6hogkVijq2sc0OP1mkkmIzJOer1eJ51O\n0tUlD6jS6QQul3zCINJlWrd9//2PUKutTVpojmq1TLlcxGrtpVjMAQX0eoe0frlcIJfbIRh8QKGw\nw87OXZLJDer1AiqVkkql3hQCsVKrVZ8rF2YAACAASURBVJtCMRVazQhzubTUNK7VGlGp1G3VS4Ga\n2EVPzyjRaKDtXTCZHBSLGSKREDabvUkL6aJWqx5IrwHweLwUChkMBj3r66usrMxz+vQrGI0mDAbT\nr6SP6mmDTCs11GAwSJK1z2qy+HVI+nyDZ4fYFyV+ezo9G2JQJEj+yyc6TxOpOGiZSAPUaDRtz4wY\n3HVS/GsNtAqFAgqFRtqfmCEXaH8NSqU8JpPgZ6PRaOjvH+bll3+TeDzMBx+8jVKpav4np/pVKhWy\n2aw0sTwIglWEg1OnLqHXq3j0aFaiaYv3LBIJN4UO2qdBWq2WEyde4OHD22xu+pvMlL1JvxDIlptj\ngZLR0UlUKpibu00+n6K/f7htn0qlkunpCywt3Zf1+2xsrFEopDly5CTHj59hd3ezIx15fPwojYaS\nx4/3zIBrtSo3bryPzzdAX98IGxuPpXEKhIBcq9XxwgtvsLg4x9aWMMY9fjyH1WrG6x2SHcNqdfDK\nK99HqVRw9erPWVqaY2Tk6IH3eXNzCY9nQBJ7ED2nxN9me3uZ8fEpXnnlt5iefpFgcItf/vL/Y37+\nHsVigUBgnd7eoQP3v7Oz2fFeiggE1hkZOYzBIAgwFItFTCY7L730PXy+MT766B3y+WJH30Hx/m1t\nrTIyMtm2zOsd4Ny5V3nw4BYzMx93FMFqRbFYQK1WMjw8xszMdenvYtJDnDfUajXW1hZ55ZX/QrVa\nYmHhYAGsx4/nOXr0DIODo9y69ZHUZyjMQ9SUSkWKxSJLSw/xeLy8/PL3mJv7hGBwmz1zYCUGgxGV\nSjCa7u0doqurl+7uYzx6VOLtt28QDLZTPUW0GvvW63VJNOlZx5NarSYloVv9ZZ9HPJcB1af1odov\nNPFVTpw/DzoJZAjymTZZRjIc3qb7/2fvTYPkuM87zafu+66u6vtu9ImrcREAAfCSKEqUZXvHsr0r\n7ypmHRsT3hjtbmzsB0do7A8rx0TYMxGOUEgzsrW2PPaII0ukROvgCYIAARBno4FG3/dd95l1X/sh\nK6u7uqpB0iIpmqP3E4nOysqqzMr8v+/7e5+fq51cLkdLSxdKpYzx8Rv4fGKykkwKZLMRHI5OWloO\n4fPNVh7OqVSypssEYLM1EwisEgot0N5+pMpwT6lU4nK1EQxuAdVkF6OxgWh0u4y9VZJMCthsDkwm\nF/G4H5vNTjgsdo5crjZisR1X99bW45RKCUymBgqFEhMT0/t+Nz097YTDvkr1xW53E4sFUSrVDA2d\nQSbLEgj4Kohdt7ubcHiDfD5He/sgSqWaZDLGlSv3K9fDxwke+c53/pZAQMBu7wKyQIr+/pMoFAIO\nh4WNjbWq2ahYLIRara3ylUomBUolajTasVg1/erOnSuEQmns9iG0Wh2JhAcRXqJApzORTqcoldJo\nNBY8nofMzLzM9vbNskluiqamATQaHcnkJktLb6BUltBo1CSTAkqlmrW1hzQ3tyGTZSv4YHEuJFUl\nOzQabVVY/Xg8hkqlQKPRYrM1A2nC4erZOaVSjVKpxuNZrcyTlUp69Hpj3XmAnfcyIZMpCQS8LCw8\n5PTpp9BodAiCgEKhwusN1X1gfNQzVO8ndtOZDAYDuVyOSCTyvquHn+R72q9DjFKpVDmfcrm8bodp\nd8K0N6F6Lz+q/bpMe2WA9fa5n9RP8sYCiEbF376IPM+VpX7irFc8HkWn01U+m3QMer2Bxx9/FqVS\nwcrKAj7fdtXnljpC6XSi7jNpd0hG4KJs6gKJRITFxRk0Gk2laOr3e2qIqLujoaGR9vZubt68UtOZ\nkLosuy0kDh8WyWx2e8O+IwF2ewONjc1MTIhdqFwux8zMPQ4ePFWm+OkYHDzG+PjVms6BXC5ndPQs\nS0szhEI+CoU8N29eolTK8dhjz/LYY8+wsDCJz7dZIcaJ6PEiKpWG0dELPHx4l+npMVZXpzl48LG6\nx6hUKjl27ElMJgsbG4v4/fUtJkCcn+roEEmCO9fOzvWxvb1Oc7OYELlcLZw9+xynTz9LJpPgjTde\nYnz81r4zRNFoiFwuj9tdvyvk928DSlyuRmQyqhLJZDKJw9FIU1MH3d3DXL78KtPTD6q6YyDORZnN\nlhq0vBQOh5uBgeOsrs6TStWfq5VicXEWl6uJU6c+QzodZ3JSlFnuBa6srCxiMplwOt0cP/4Eq6uz\nlXXI7ojFwgSDHnp6RhgaGkWlggcPbgFSh06FTqenUMgzOztBb+8hHI4GRkfPc//+dTyeNXabA4dC\nQSIRHwcOjJJMJsnlcrhcncjl3Vy8OM/c3MIjP59k7Gs2m8uKk8j7KubtBlJIaosPwkT4lxSfyoRq\nLzZ9vy7PXtCEVqv9Zy2cPw7JX7XLfP3jVigUBIMR5PLqmZlgcAO3u7NcrdLR3T3EwMBB1tcXWFyc\nIRYLkc/HcDi6MRqdaLU6/P4V8nnRU0Ai/O0Oq7Udn28RrVaN212LZtXpHKhUJcLhQEUyl81m0elM\n5Q6G6AQuCCIcwWJpQhBEPbsEnGhs7CWd3rnRqFTWsmdPHovFhMeTKBsS14bbbUetVhGPiw8DjUaP\nUikvdzwaMZvNuN3NTE3dJBIJY7U2AWn8fg9KpRq7vRWr1cHSUoSNjY2PdREai8W4fn0Gvd6OXm8n\nlwug1RrQaq00Nxswmy1kMnGsVgeCIJDNZgkGvTUSmHDYvw+QIlIFpLh16xa5nAyjsR293kAi4adQ\noOJFlsmkyeejeL3jpNN+3O7DuFyH6eh4DLXahE7npKFhiI6O87S2nqShoa1clS5hsVjY2pqivf0x\nTCYzS0uTFItFEok4Wq2hakFnNLqIx3dkf+FwqJJwmUxOFApq6FsAarWBYHC7MguhUmlRq637ek1J\nYbM5uXnzbdrbu3G5mtHpdOj1hjK2OYvX660ZyP2of+cf9DqTvEB2AywSiUTdQeJ6yeCvk6tPZkgQ\niv2gENLiVUqKdvtGwXvL+fbrMu1+3d59Psrcdy8+PRwWUKu15PP5iuxHIv3F4zG0Wn1ds89SqYTF\n4mRo6AiTk3eYmnqw6z2yFWpcPcsHKcRufajiz6dWqzl1SpSBra+vVOZL/H4PRqP1kUP3AwOHCYV8\npNM7i+lSSUpkq7uGRqMZtVr1nnTYwcFjhEIetrc3mZubxGZzVCVsHR3d6PWWutI/o9HE0NAxxsau\ncOPGJSDP0aPn0Wq1mM1mDh8+w9jYFRIJ8RjkckVZDqbFbLYxMnKa1177MVarHYPBXLP/3ZFIJHj2\n2d/F41nlypXXEITquVKvdwO5XF1RSkieU9I9PRj0UiyKhsO7w2Kxc+zYEwwOHsVmczMxcZPLl19l\nZWWh6lysrs7VdNB2x9raHC0t1bAMqdgkl8tZW1vAZmthePgUZ858gXA4xFtv/ZzNzZ1RgZWVWbq6\nartTu2Nra42nn/5N1teXePDgbt1tstkMa2tz9PUdQalUcvLkU2xsLLGyslDVCS4WiywtTdHXdwgA\ng8HE4cNnuHfveg1lcWbmIZ2dfZXPc/z4Bfz+raoZN5lMxtLSHK2tHVgsTlKpFBaLnaNHz3H//rus\nrc2V4RVyHj68Q1/fEQwGQyXxTCQSyGQK5PICLtf+xYXdoVAoMJlMmExih/lRxr4SwGtv4eaTzCD4\nZeJT+anei/K313xVAk18Ern4u2/Y7+e419fDGAw7DxtBiJHLpbHb3cTjqUonyWy2c/jwY+TzGR4+\nvIXR6KjopF2ufrzeBQQhvi8Zp1CAbDZGY2P9YVWFwoBKJfo7iUSZEmq1CqVShdHoIBr1EY9HUSoV\naDQ69HozUEAmExG7sVgUq7UFuTxNKhWjVCqSSCSw2zuIx9ex23tJpxX7DvkajUYMBi3R6E6Xwmy2\nEw4HMJtdpFJx2tv70Wi0zM7eIZ8XqTN+/2ZZgjKIXm8nFEry4os/ee8T9SHGf/7P3yEUKuB0NhOJ\nbNDaOoRKZUCtLtLW5iIU8mI02rFYLOj14sLE49nAYrFX3dT2SvtAvIYEQaiAKubmJlheDmAwNKHV\nWlAolCSTQfL5PFZrM1DC55smFluhtfUYnZ0XSCaTWCxNxOM+rNYOAoEdXzKZLIfBYCMeF4EkHs8i\nVquDhoY2XK4O0uk4q6uLxGIRTKbqyqTJ1FAFppDmpwD0eis6nRq/v9YgM5crolRK1eISarUOpdJc\n6XTuF7mcOBsxOHi08m+S14tOZ0MQhArpaHe1+KOm/P1zYjfAQtKq7zWN/nVC9S8jdkvT9pvbLRQK\nVR2h3b5R+5H74NFdpr0yQKlQKC2K9jMFlqh+1X54AiqVhnw+V1Z6gAimKBKPR8u/0VrghShdF+ju\n7ufChc8TCm1z/fpbJJPibK1SqSIejzzSXyoWi6JWa6rmfvR6A6dOPcHMzD18Pk9ZJp/C5Womk8nU\n9asDEIQ4bW0deDzrFeqbNCO0W4oIok9Vc3MLcrmMxcXZmn1JoVarOXToOOPj11lZmWF4+HjNNkeO\nnGRrS0Rg743Ozl58vgBLSxMcOnS+TO0V/9bU1EZn5xA3b75eVquIIZcr0Gp1BAIe+vuHCQQCLC5O\n7lsgWl9fQS4v0dt7kHPnfgOXq5krV37B3Nxk5XtaW5urmAHv9pySrqv19XmamvaX63k8m5w8+TTP\nPPNlensPsrm5wuuvv8T4+A2CQT9bW2t0dtb30cpm03g823X/XijkKRSKeDwb9PcfqnToTpx4muHh\nU0xPj3P9+ltMT0+gUMj29ccCsYAXi4UYGDjOuXPPEwp5uXv3es21srAwg8Phrli56PVGTp16iomJ\nO4RCgcpvY3V1CY1GW5VANzW1lSV9VyodNMl3qqdnpLKdWq3l1KmnWFh4wPa2OCOcSiVYX19gcPB4\nVYfOZLIwOnqeqalxpqfvsrw8Tz6foa/vYOX8qFQqdDodgcAGra0aNBrNByoYKpXKirFvJpOpa+xb\nKBSQy+V1yaSfxvhUfqq9CZVUGZAeVLvNV/d7YH2Q+Dg6VFIiJeJS9XWPO5PJEArl0et35BAezwYO\nhwiLEIRUBWML4sNpYOAI6XSAdLpYMbRraOgmkwkTCGztOyy6tDSOw9FQFy8tdqSUqFQl9HoDoZC/\nIvkAsfMRj/uJRsOYzbslXw5isQBWq51QKIBMJsNudxIObxKLRdFo1BUJXC4nR6FQcvly7ZAuiISj\nxsaGiv8RgM3mJhr1l6VsVmQyUdff2nqA1dVptFobgcASIKOtbYRMJorV2sClS+MfmxdQLpfjJz95\nB7XaSSqVwWq1oNdbyOVAp0thMpnw+TZwOsWqn9RCTyZj2GxOEgmhUi2KxYI1aPRYLIRWq69Urq9f\nf4dYLIPR2IJOp6dYzBOPe9Dr7Wi1JlZWrpNMLtDefgqrtaOckHmwWluJxbw0NPSRTPrJZsVrRybL\noFbry7IeAx7PJG1tR5DJZDidHVgsWjyeDSKREFqtsep7NRobSKdjlSqlND8lhdXqJp9PEY9Xk65y\nOVCrd34LKpWWUkmJXE6FvLU3CoUCoZCHhob68hy12oggpGsIe5/0OSRpkFgCWEhJ4X4O9r+OT1ZI\nUj9p5qie1K9eR0hKgAqFwr7kPthJfurtd68McPc+0+n0vlK/vcAMUVKXp1QS78NyufgauVy2i+5p\nrjk+KUlMJuPYbCKe+uzZz6HVarl06RVSqQQymYx4PFxDM90doVCgrkehWLkXuwGS1Gu3uiOdTtdU\n2r3ebZqaWhkaOsK9e9fJZNIUCsW63b2NjVVaWroZHT3N7Ox9Uqn6vk4ATU0d5WJnrgbDDaDTGejv\nP8rY2Ds10r/JyXs0Nbmw2ZrweJZRKqu/x4GBg1gsLu7efavq/rq5uYrfv8oTT3yJxx//PJOT95mc\nvF23Qzc//4ADB0TzdblczsDAKI8//gW83jXefvuV8r68dHb21syTgXhdbG2t09lZn2KXSMSJxWK0\ntnYil8tpaeni7NnPc+7c8yiVWi5depnl5WU8no26Rrurq/M4HC016xNRYpolENhAqzXidjdVOnSF\nQgGr1c3587+F3d7I66//GJBXJZ57Y3b2Ad3dQyiVSrRaPWfOPE86neTGjcuV7y2bzbCyMsvAwGjV\na81mOyMjJ5iYuEUsFqFYLDI//5D+/iM17zM4OIpWq64UiGdnH1b5Tu3s08ro6OPcvy8mnbOzE7S0\ndFSuIUnqKVL6bBw7doH19VVee+2H9PYeqdj8SL/jbDaNVhvj6NGDH0jGtzsklYROpyOVSlW8NIGa\nLvSnFUYhxac+oZIqbBIV5ZMAmng/sZssB7yvBNDn87G+Hub69de4desSc3MTeDwruFxtlEolEol0\n1YwNiDcDmSxNT89xJifHSKWSyOVynM4ONjdnagh/ALlchu3tSbq6zhCN7iQsEhwjm82RSglYrY2Y\nTHoCgepZFrO5EUHwE41GqiRpRqOjPEfVQCQiVgMbGjpIJLaJxSKYzVYcjh7y+RQyWQm7fQCPJ7qv\nIWFPTwfRqLfyULFaXcRiIba25onFQjx8eJFk0ksiEWZg4FjZvNFLKBTAZmtEqVTR03MWr1fgxo0b\n73XKPpR44YUXiMWMNDc3IghBRkY+x/j4WxSLWdrbRQlLOOytQv1ms2nS6Qw2mwODwVg+1wJ+v6+m\nQyV26MTqbiQSYmUliFptxGTqQKPRkkwGyOUKWK1NrK29iyBsYrH0oNOJiU0s5ket1qHVGkkmQ9jt\n7ZjNDQQCmxQKOZRKGSqVlkRCIJUKo9MZMJvF2SabrZVCIYnJZCQYFI8tk0mTyaQpFgsoleLMVjwe\nqJqfkkKvt6JSKQgEdqq24sO8iFxeqPy/WODQYTAY8fnqy/4WFqax2+2USvKyeXV1GAwmtreDNYQ9\ngHg8/pEkKB/mw2avt1kqlUIQhMr98NfxyQzJ6mI/qZ+0Tb35J4VC8UipnwQMqNdl2k8GKJfLy1Ku\n2jmu/bpdoom2vHJMUoiFzUJFcrz7NTvPjgwyWWnXAlHG0NAo/f3D3Lx5qSyhytRNmKSIxUL7zsS4\n3S309Q1x69bbFdmgTCarVOtlMlmFkFcqlfD5NmloaKaz8wB6vYF7927VXTvkcln8/i3a2rqwWh20\nt3cxPn5r32NMJgV0Om35flb/HtXZ2YvBYGFqakf6t76+xMbGPCdOPMWRIyLgIharlb0fPXqWQqFU\nMQSOxaJMTFzn6NHz6HR67HYnTz75JTY21hgfv1rVoVtZWUAuL9LSUt1dMpttnDv3G3R1HeCNN14k\nHk+Xu0H5CtxJis3NJSwW576zbqurs7jdHTXXsNFoYWTkJM3N3Zw48TSxWIxLl37GtWtvsLQ0V4Fp\nLS/P0t1dq46RZKnLyzNlc1sxpA6dRqOhUCgik6no7z+BXt/IpUs/ZXW1lrzo9Yok4937UavVnDjx\nWbLZND/72QssL8/w9ts/Jxr1Mz5+nfn5SYJBL6lUgkwmQ1tbD/39R7h58zIzMxMYDDrc7pa638no\n6AUikQBjYzcqs1P1wuVqZnj4GNevv8HKyhz9/UdrthETKy0OhwOXqwWtVsfc3BjBoGfXNjLC4Q0O\nH26vJGFGo4hmf5SMr17snuvVarUVEq2Eit+77Sd57f3LxKcyoTIajaRSKf7qr/6KtbU1isVixXz1\nowBNfJgdqt2JlPTgBN7Xca+siBCItrZOXC43kcgGN2++QS5XLC8A5ZUKkhTb24vo9RZ6eoZobGxh\ncvIemUwKt3uQYHARjabWvXx9fQqlUktb2yFSqQipVKKi95fJ5GX/AwGXq4tSKY1MViIc3oENGI0O\ncrkkkYivqoNiNrsRhABWq4NsVvz8DQ2dpNNbxOMxLBY7FoubUkle1gE7SSYLjI/XT3ZcLicajZx4\nXFyAR6NevN6HzM29i8XiRKUCi8XKwsI7LC/fpKNjhHjcy/z8VNmtvJd4PESppOM//af/732dv18m\nisUi/+W/vILZ3ILfv0FjYx9LS5NAjtOnR2lpaa1UkXb7T/n9Hmw2BwqFvLKQlsnEap1cLhK3ikUx\n4dgNpLh27Q3icRlKpRqVyoxWq0MQvBQKJdLpANlsCIdjFIUij04nnqdIZBuLpYl8Pksmk8Bma8Ru\nbyca3SKbTZalmyAIUQRhnba2nWqcVmssFzTErqXBYKxUhzOZbLnqbiIWCxCNhquAFQB6vR2NRonf\nv8Xm5jwTE5e4dOnv8HjGWFu7z9Wr/8DY2E9ZXLxDIpHHaLTWlczkcjkWFqY5ePAEVqu97tC1RqMl\nHs9UqpeSR5j4ObSkUqkP/NB5r/goqnfScZvN5srxRyKRD0Rp+nV8PLFb6rcfTOJR808ymawiy6sn\n59uvy/QoGaDUoaqXhO03U5VIJMjn5eXEo2pvAKTTIoho7+cSXytUqRYKhTzFYone3mGOHz/P2NjV\nqvnoehGNhqoMz/dGT88QcrmCra3Nqu6MtCiUZFPxeJxAwFOBIoyMHCMY3CrDEKpjc3MNq9VWIQEO\nDR0lmYywurpU9xjm5ibp6OhmZOQY9+/frIElSCFJ//z+bWKxMA8f3uL48SdQKFS43c0cOHCYO3fe\nrgOwkHHy5BMEgwGmpm5z+/Zb9PaO0NDQVNnGZDJx4cLzRKMC4+PvkEwmSSQSzMzcY2jo5L7fX1vb\nARyOJtraurh06ac8eHAXubx6kby2tlCRA9aLjY3lfbtXghAlGo1y9OhZjh9/ms9+9n+irW0Av3+L\nN998mZ/97B+JRpNYrdWyT7FgkCcY3KZYFNdBe0NCeK+uTnPgwCgHD57m8OFnWFxc5cqVV4hEdmZ4\np6bG6e09jNe7wSuvvMB/+A9/yl/+5Tf51rf+nqkpBePjGr71rSu8+OJDJicN/PznG/zDP9zhr//6\nIt/97i/4+7//Ca+++ibxeByFQs3rr79clZztDXHW72lu334Hk8n+SIplW1s3crmaWCxCNpvbd7ts\nNsv6+hzPP/8H9PQc5tq11xkbu1I2/o1hNqfp7OyoOnd6vR69Xk86nf7A6obdXpoS3j2bzVZ+Z3sN\nfj9t8an7ZMFgkG9/+9tcvHiR1157rWKIKLU6P6mxG30uYXI/aAIYi8Hhw+dpa+uns3OIjo5DDA0d\nZnl5nLGxa+wm7knh9S5gt3cC0NrahcvVyOTkOGq1DpCRTlcP2OZyGQKBOQyGVgwGI3q9Fb9/vWwA\nq0apVJBKJVAqlTgcbcRiXlyuZrzeHVqfSHbSksslqxI2o9FFOh2jWCxiMlkIhfxYra2k02Hk8mxF\nF6/V2kmnwxgMJhQKG++8U1/2ZzQasVhMBALrLC/fZ27uHbq6jtHcfJShoQuoVDqGhp7A4RjE5eoh\nHl/HZDKxsTFDIOClrW2EcHiNQ4c+y/37C4RC9eVjH1b86Ec/wucrYjbriMUi6PVNOJ1OGhvb6OsT\njQ39/k3MZltVBToY9NTxmgrgcLgwGAwoFPIKUl80+rVTLBaZnV1FoTBiNreRzxfKyPpVisU8mYyf\njo7z5HIFSqUMer2NfD5HIhHEYmkhHvegVOrLlS0LKpWScHgdk8lMPp8jGNzEZDKWYR87YTa7icX8\nWK12vN5NQKIVSVRBB+Hwdt35L53ORCCwyuLiFXy+OVyuFtzug5w+/fv0959kZORpentPolIp8HqX\nyeUKdROqhYVpnM4GLBY7NpuzLqJYDC3RaLTmX6UERdKOf1CM7K8iJDCApHsvFAoIgvCJvif+9xS7\npX5A3Q7ToxIfoCITrCf12y/5gf1lgNLslIgur14qSDNV9Uzig8EQarW+IvWTolgsVuT2uxHkkkeP\nKK2NYTRayvuqxr43NDTS13eYbDbJ3bvv1pVhFwqFslR4f0lgoZDHZDJjtVoYG6stxkmLwlgsXLZ9\nKJa/IyXHjp3l/v3bVdhzgI2NlaqOjlwu58iRx5ievlsj/UulEmxtrdLTM0JHRx96vZqpqft1j1Wn\nMzA8fIKxsSvcunWFvr6DlfuiUqmkt3cIg8Fa6UTtDrVaw2OPPcXly6+Ry6Xp7T1YZ/96zp37HKWS\nkrt3LzE1dQ+dTovF4qyyuNgdq6szOBwtnDnzLCdPfpZUSuDtt3/G7OwEuVyWaDRIIpGgtbWz7uu3\nt1dRqw0VaMjeWFqapLGxp3IdK5VK2tsPcOrUczzzzO+TzWbRavW88cZPuHr1Debnp8tSd3HdNDc3\nUfezSrG4+BC93kFXVx8qlRKz2cZjj32OxsYhbty4yrvvvsUbb/yYBw+meO2123z3uz/l5k0l8Dxq\n9RdIp4fxei2YTIcIBoNADw7Hk3R0fBGn8ynS6Rb8/hZkss8yN+fgpZcmefnlO0xObvG9732TjY2V\nfY8tk8ngdjcSiQQJBmt9GaUQ/TtLnDr1FDduvEEsVvucAjEpdDqbcTjc9PUN8vTTv4kgJHj11e+z\ntHSXI0d6KjNOu+cmZTIZBoOhUjyUDOXfb+wuQKpUqsossnQ/+bTGp+aTZTIZvva1r9Hb28vm5iYH\nDhzgxRdfpKdHvGA+qYudeujzvaTB99MBEwSBVEpRNYjr823S2trHhQv/Cq93gfX16rZ2oZAnHF6r\novS1t/dgsViZmBjDaGwiFqs2SN3YmEGrNaNU6lEqldjtHQiCt5ywitvEYqKhq9HYQC6XwG53EI0G\nq7yvCgUVUF1VE/0VjMTjQWw2J6FQAKVSiVKpQCbb0TlbrS1EIqs0NHRjMHSxsLBWIQNWf7dFmpsb\nmZ+/hd+/wJEjX6Sv7zixmL+8iDeTzSZQq1XodA4OHvwccrmCUinE9PRt5HItCkUBm60XmczJX/7l\nNx95Dn6ZKBaLfO97/4RG42ZjYwGHY4DR0QsIgofOziYsFlGe4vNt4nRWJymRSKCmIhsO+7FaHeWO\noQaj0YhCIScQ8KPR6JiZuU84XCCfL+Bw9JDLiZXtQGARuTxHR8c5VCo9ghBBoZCj1VqIRDwYDGZU\nKjXh8CZa7c58k80mnhOt1kg8HiGV8tHaeqjmc1osjQQCy7jdzWxtre16aMvKfmCtpNMRIpEgGo2+\nXHktsb29xNzcdTIZH0NDz+BwxIjTvQAAIABJREFUDOJ2HyCVSuFwNKLVmkilkpjNLtrbjzI09HSZ\nNKmsDJOD2J1aWZljYOAwIGKMo9H68Aq5XEcksvOg2t1BkmRCZrMZo9FIoVD4QOjyevFR68ule4hS\nqcRoNGI01scV/zo+/pBkfrlcrmo2au82+yVFktSv3nNiv+RH+tt+HSjJFHjvPh+FZBc76HF0uupr\nq1gskc/niMdjVTJy6fknFT2TyVilMy3BH3YniNlsmhMnLpDNJrh69c2qZwqIC0293vDI6n4wGMBo\nNHLixBPE42Gmpyfqbuf3e2hubkWj0ZLPi4tJp7OR5uZWxsZ2fIbSabFQ1dRUbR7rcLhpaWnj/v3b\nVf++sDBLU1NL5Xs4fPgMGxvzdQmmAG1tncRiSfz+DXp6hmr8w0ZHzxAOB1lYmKx57fz8FL29/ZRK\nogyvXqhUKk6degq93s7Vq7+oeDJJ/ot7CcOLi1P09o5QKBTQ602cOfMcjz32LJFIkIsXf8KlSz/H\n7e7Yd+G8vDxNe/uBun/LZrNsbKzR11efvBeJ+DEanXzhC1/lM5/5Azo6RohEwly69DPeeec13nnn\nVQQhSXt7T93XJ5MCS0szjIyc2oMez7G0NM7CwiY//vEd/ut/XSQSOcLGhkA6bSqPObzD1NQ/sLHx\nCzY3f8KNG39GoRBBqdxiauofWFl5mVDoJiAQicwwN/cLVlbeIpMxI5ON0tX1b1hd7eE//scX+NGP\nXmZ1da7mWTE1JSL0Dx06zZ07V/YlRk5N3ae7e5D+/iN0dw/y7ruvEwpVJ2DxeIz19XkOHnyssjYz\nGk2cO/csAwPHMJuzGI3GGuCSlGBJ3SSDQfw9STK+/YyA94b0PBPnuSzI5XLS6fSnuoj3sSdUX/nK\nV2hqasJsNtPd3c2f/dmf1d3ue9/7XhWe0WQyceVK/U4EiO3S3t5eJicn+Zu/+ZuPlXP/z5H8PQp9\n/s+54MLhCDJZta48ENigsbETtVrLwMA5YrFVvN6dm2ootIVcrsRorO4EdHcPUChkKZWMCIKXdFr0\nM8pk0mxtPcRkasdgMKFSqXA6O4jHPRSLO59fEOIYjWbkcjkmkwNBCGOx2Cq+V2Koq5IkKQwGO7FY\nEKfThSBEyOcLyOVaZDKpIijDZusgnY6h0eiwWKxks05u335n13dbqMwimEwagsF5RkY+g05nKFc/\nRS8Uk8lFNLqFzdZAKORDpzMzPPwUcnmadDrM+vo8Op2Nra1Z2tpOcP369CMHWH+ZeOmll9jczKLR\niMPRjz/+W2g0OsLhJY4d29FIiyCFnYRKNNoL43SKCZUIW/CzsDBNKBRkbOxdbt++wu3b73D37nVi\nsVjZPPMN0mkNMlkOjcZenp8KEwwu0Nv7NFqttTyMHsJoFCuJ0eg2VqtIRIrHfZhMu4ERLaRSHmQy\nOevrc2g0CpzOzprPabO1EAptlc0gFTVyO6PRQSoVRaWSl/HwKe7fv8T6+h2Ghi7Q1DRQ9ioLIAgx\nSqUCRqMZvd5KMrlj5KtS6YjH09hszqr3WFlZKGP6xWve6XQRiUTqJkE6nZGtrfc2+JUSlPeDLn9U\nfBwDu7v3/2l+sP1LikKhUOWBuB/Vbz/K3u7OlfT/e/9Wb7+PkgFKHldqtbomUZMSrXodrWw2y/Ly\nJolENWJbmqVIJoUqXLe0OJM6a4IgSrv3kzZGoyEcjkZOnXoGk8lcg/MOhYKV4tN+EQh4sdmcZYnV\nk6ytzbG+vlpnOw9udxvFYqEsFdOQy+Xp7h4imYwzPy/6IG5urtLQ4K6bxA0OjiII4Yr0L5fLsr6+\nSE/PjlmuXm9gcPAI9+69W1f65/N5MJm0WK0NLC5Oo1Sqqs6lSqXi5MkLLCxMVHXbFxamCQTWuXDh\ni5w8+TQPHtxie7v2c4IoEczlMhw9eo6Jidtsby+j0+kolURYVS4nJlZra3NotWYaGhqrPKesVien\nTn2WY8eewuvdYm1tjlu3Ltd4AcZiEaLRGB0d9ROe1dUZbLZGjMb6SPf5+Xv09BxCLhclpW1tfRw/\n/hmeeOL3GBk5y+rqCtmsnFdf/SF37lxkbW2+akb2wYN3aW7ur3Qwo9Egr776j3z729/i6tU4Hk87\n4bCCfD7A+Phfs7IyQ6kkx2LppK/vNzl9+v/mqaf+jP7+Z3C7n6Sn5ze5cOHrnDz5b9FqR9Dr2zGZ\nrFgscny+d2hsHMFi6aS5eQCr1U139ykSCTevvbbJ979/kx/84Ptsba1TKBTY3t4kk0nS1TVEW1sP\nPT2D3Lz5Vg2UIxDwIQihyoxVb+8wQ0NHuXXrItvbG7s+623a2g7U4PFLpSJGY47nn3+mPJ6RKst0\n90+sJA8qtVpdATS91/NN6jpL+xJtSfSf6ufOx55Q/fEf/zHLy8vEYjFeeeUVvvnNb/Lqq6/W3fbs\n2bOVkxePxzl//vy++5XJZHzta1+jubm5rg78k9Kh+qiQ7VtbETSaHU1xOp0ilYrhcIgDkJkM9Pc/\nwcrKLZJJseoRCq2jVlswGKrBE6K8ohm5XE6hoGR7e5lcLsvW1jw2WwMymQqj0Vye1zGi0eiIRndu\n5IlErHJDNBobiMW8uN0tVQlVqaRAocjXPEBMJheC4EepVKPTGVhbW8JqbaFYDFe6GQaDFZlMQyKx\nRWvrCKBnYmKhKpGSy+VkMhm83lWamzvJZndkF1arg2DQi9ncQDzux+FoJhLxUSqVsNtbcLm6iESW\nMZtNZDIFQqFVBgfPE4mU+MEPfvBLnad6kc/n+d73fko2KycU2qCv7xRNTV2srNyjvb0Jh0NMXNLp\nJMlkgoaGHSBFOOxHJpOzsDDN1auv84tfvMC9e1fxeNYxGDQYjXocDicOh5N8PoNWq8HjWWZqaoF4\nXEksFicSSaBSqVlcfBODoQG3W6pQJiiV0uh0djKZJNlsvOJNlUgEMJl2jkMmk2E0GgmFvGxsPKS1\ntb7kQqHQlJOXHM3N7Wxt1T7gi0UFcrkITJmdfQeVqsjw8OdRq82o1frKwszr3a48GA0GG6lUlFIJ\nZDJQqTRkMgXs9gbCYfHaLJVKrKzM0tu7U/1UqzUYDPUR63q9kUAgWkm23ivhqYcu34tc/1XGr7Hp\nn7wolUpliENhX5jEoxIfqJbsiffsnYXOfskPULlP7gebqEcK3G0mvPdYMplMeY4LJifvcP36JaLR\nSPmzFVEqVQjCzrNht9RPkraLSHQr2Wy1Qay0fSIRxWYTDXuPHj1DR0cP1669WenuhMOBR8r9pG0k\nSqrBYOT48XM8fHirqpMdi0UpFPJYrfYKIEQkvYnEuIMHTzE9fa+C925p6az7XkqlkqNHd6R/KyuL\n2O32GqhGZ2cfBoO6YgYrRaGQ5/79GwwPn+DYsbNMTd0hl6uF6JjNNg4efIw7dy6RSMTY3t5kYeE+\np059BrVai8Ph4tixJ3jw4F283vWa16+szJNOxzl//nnOnPk8Cwuz3LnzNjKZvELISyQEpqfvceDA\n4RrPKSl8vg2OH3+a5577AyyWBh48uMGbb77M9PQ4sViUxcUJ2tr66q53RI+mGfr66j87fL5NBCFL\nV1d1d0tK/GOxAAcOnOS3f/t/4+zZ/wGLpZeNDQ9vvvlPXL78My5degmfz8fQ0FG83nVee+1nfPe7\nP+TSpXWiUTvJZASf7wFKpYmOjoMMDv4uHR3PoVD0otG0YrN1otdbiURmCAQC9PR8DrPZite7iNPZ\nSn//42QyRlSqFvR6EyMjXyEUCuDxXKNQmEOjKdLT8zgnTz6LXL5MMrlKMFji0qUZbt++w8OHtzlw\n4EglWe7tPUhLSyfXr18knd4551NTY/T1Har63ba19XL06Bnu379aTqS9BALbDA0dZ+8tIxz20tdn\nx2azoVarMRrF2WZphm7vXOHexMpkMqFUKqtkfPViP/+pT/Mz52NPqIaHh9Fqd2RpSqUSl6v+AOkv\nmwR9XEnU+0nYJPSshD7/IMj299p/sVhke3tHew6iJ4bNtoOEFoQUNlsLLS2DzM9fpVDIE4lsolRa\n6zqVZ7MpOjr6SCaLbGw8RKFQEAjM0tp6pFxl3KH3WCyNhMNisiQ+/IUKQclqbSYWEyuCxWKBSCRE\nIhFHpdJgMlkRhGpCkckkginE19rY3FyjubkPmSxNJiNWIjUaI2q1kXB4DaezC7Vaz8KCh7W1JRQK\nkQynUqm4f/8mvb2DdHV14fMtV97D4WgiHPZhsbhIJMLodCZKpTyCEMdsdqFWq3G7B/F4HtLU1IMg\neEkkUhgMbn7842sfeIEszcfthyP9/vdfYHlZ9ORSqzWcPv0bZLNpotEpRkYO7zqn69jtbmQyGZlM\nmpmZB7zxxkt4PJtkswn6+gZ59tkvc+rUU3R2HuDYsfMcOHCI7u5BursHsdlsjIycoFAoYjR2YbHo\ncbsPEItFWF6+w8rKXRyOwcr7pdMJZLJMRe5nNDorfjfpdAyrdSehyudTuFydbG9PIQheOjtr0bAg\notAtFjeJRJCGBhFuIREdd74vJYVCiomJV7DbGxgaerqi59bpLMRifvR6I5ubq9hsYvfMYHCQSkX2\nvJses9lGMCgmyxsba6hUqqoOH4gJdj3Slrg4VRGPx2v+9qiQ0OV7keu5XO6Rv+OPQ/L3aX6Y/UsM\naWj7UVS/95L67Zbs7TbjfVTy86iO125SoLSgkjyu0un0vlI/aZ8mk5OnnvpNnE4n16+/zu3b1ygW\nRY/BZDKK0WiudLPEeVrRmFgQ4uX/Vtb9vJFIGL3eUPXvfX0HGRo6yu3bl9ne3igb+rrZL4rFIpFI\noArq43C4GRk5zu3b71Soul7vNk6nqwYHLiWnLlcj/f0jXLv2FsGgn4aG5rrvJ+2/paWd8fFbrK7O\n0d09WHe7o0fPsrm5UHUvmpt7iNFooLW1C6PRTE/PCHfuvF23o97S0k57+wBXr77CvXuXGR29UOXX\n5XI1cuTIecbHr1V1qpJJgdnZMY4cOY9cLsdqdXDhwheRy3VcvvwTAgEPWq2Ora0l1GojZrOVXC5b\nQzsUAQiL9PUdRK3W0t8/yjPP/B6HD58jnc5w5crPefvtN0inM/h81aoWEH2tdDprxSh4b0xP361K\nOGDnustkEiwvzzMy8hgAZrOFvr5hzpx5jmef/V9oahpkeXmTzc11/vRP/0/+/M//jpdeusnk5D0E\nIYhCYaCx8XE6Or7MyZO/j8Fg48iRrzAw8CRqdZZIJMTU1G0WFu4yMfFTikUrKpUctdqCxzPNyso4\n8bgPm83G4uIbxOMl2ttPUyho6er6LM3NJ4lElpib+z56vYfnnvufUamc2O2DqFQ6Ll8eY2Zmkra2\n6s7d0NBxXK5Grl9/i2w2w+bmGtlslo6OWsKh293GmTOfY2Vlip/+9AV6e0eq1togeXT5GBjYeR9p\n3klKlBKJRI10fW9iJc3iyuVyYrFYRWlV/V61yPRPotfrhxm/khmqP/qjP8JgMDA8PMzXv/51RkdH\na7aRyWTcu3ePhoYG+vv7+cY3vvG+JTSflA7VbmJfOp2uQp9/mAsbUdeqR6HYuXj9/o1KdyqXy5LP\nl1AolLS2HkImKzA7ex0ooddbay76fL5ALCZWAg8dOo/Hs8Ti4hharQ6zuYFkMlE1f2G3txOJiIar\nghBHpVJXKq3SHFU2m8blasTv9xCJiEAJvd5eM78iGfymUgIORyOhkJeWlh60WhWCsLOtOEe1Rj6f\nw2JpJx5XMD4+Vpk9W1iYpVQqcODAQbq7OwiFVne91kU2K0ktzQiCD5vNRTDoKZ8jJ2azFb2+kUIh\njk5nYG7uHv3959nYiHDx4sX3dV6koW5JziMR+nYvrJPJJC+88AapVB693kJn5xEsFhfR6AoGQ47O\nzp0bn9+/iUZj4M6dq7z55ovE4wHsdidPP/0ljhw5g9vdhlqtJhj01sUGR6OiUe7c3CJKZT8KRZ7m\n5kHk8hyFwgqpVAK/P8T09DjpdLoMWkij09nKcj/xekqlgpRKyqoEPpdL0dTUi9e7iFptw2SqL9mI\nx8M4nZ3E4z7kcjlNTe1sbq5VbZPJ5NnaekhjYy+dnTumlzKZHKu1iXw+UU6U/BgMZkol8Tzm82ny\n+d2STH25i6ohHA6WUbsDNcfkcDQQCu0PppB07B80IdmLXJc06PtRkz6uGapfxycjJEhDPp9HpVLV\nXWw8av6pHqRCoVC8Z/LzKBlgvSRMSqikQtLeLtru4xDvGWqUSiUHDhzm3LnPI5fLuHz5FWZnHyII\nUUwmW+VZLiVUIN6fDAYDhUL9zyv6S9Ua+ra1dXPs2HnGxq7h928/0vQ3FPKj0+mrZo2lfbS0tHHz\npugv5PNt4nC4a3DgUshkMvr7D1Es5shmxXOYyexPQxscPIrPt0E0Gqoydd0dWq2ekZFjjI1dJ5fL\nIQhxVlZmOXTodCWpHh4+gkqlZXKyvqF9b+8A6+vr5HKZmllbALe7maNHn+D+/XdZX18EYGzsOm1t\nPVVzuCqVmmPHzjE0JPp23b17ibm5Bxw5chqQlYt62ao12dLSBFZrc83339DQzNGjF2hvH+Do0SdR\nqzU8fHibV175AdevX2R6+gEezyYzM/frejSBmGwVCjI6OnbIgFJSrlQqGR+/Qk/PkSpCpBSZTIpr\n115mc9PH7GyeUMhNMLhNODxDNmtDpRpBJmsjkVDicrWwvPwKpZKTjY37bG8/pFTK4/HcIpPxMzf3\nCn5/EIvFRrGYBLJYrQ34fNMIgodYbAa5PEY6XeTixb+lUMiyufmgXKztpaHBSU/PYTo7T9Dc3Egw\nGEChcGAy9WCxHK6Cd0lx8OBpHA4HV6++zsTEXQYHj+5biDebrfT2HiadTrC1tVSFSQdxzGN4uBG9\nvtZfdHdiJRY4hDIheP/ESqVSVdaC0Wi0KhHbr0P1aY5fyaf79re/jSAIvPnmm3z961/n1q1av4bz\n588zOTmJ3+/nxRdf5IUXXuAv/uIv3vd7fJyV2L0JWz30+UfpfRUK1c5PhUKbNDZ2ApBOZ4CdpKm7\n+wzr62PI5Qa0Wn1FI5/P5ysIzlwui81mw+Vqxu3uYWzsVRobB8nnxWrq7q6WyeQml0uQTieJxaJV\nml25XI7RaCcSEWV/oZCfSCSExWIrY9JrpVYGg41YLFDG3csBcSGdTnsA8Vj1ehe5XIFsNkxf33Fk\nMjXz81vk83nS6RTz8w84fPgUAJ2d3aRS3srNXyaTYbE48Pu3MZlcRCJbOBzNlS6bxeJGLNyqMBpt\n2Gwu8vkgXm8YhULHf/tvbzwSPCDd6KXESZqPk+ZspEWLiPb/a2ZmtrBYGlAq5Rw8+BRbW4solR5a\nWroqxoWxWIR7926wsTGPRqPm6ad/ixMnnqJYzOF2N1a9fyTirzLElUICTGxvZzEabUC+jCC/hsPR\njs3mYGDgOKHQLLdu/YLt7XXkcigUoFjMYTI1VK4tg8FeJSUoFtOoVGry+Sx6vW3f6zwej+Jy9ZBI\niOe3sbEdQYhUvMRCIS+x2DYmk5G2tlqohcEgSjPEpF1MntPpTBmqIUI0dsAROpLJFDZbA0tLcyST\nMVpbu2v26XC4arpkUmg0BrzeX47uuNsTSjI//LCR6x/kWODXydWvOnZT/YrF+kaxj0p8oH7nSkp+\nJCJXPQnho2ag6nlcSTLC/QiDu48jHhdQKMSul+gtp+LEifOcPftZPJ41FhZmCAb9lZmq3fClaDSM\nWq0rPydrP288Ht43WWpoaKS3d4RoNMzc3FTdbQD8fh92e+29EWBk5DharYbbt68RDvux2ZxotY8u\nfppMNpRKBeGwqKrYATlUb6dUKjEYzGSz6X19E0FM7BwOGw8e3GJycoz29l50uuokc3T0DJub62xu\nLte8/vbtdzhy5DgOR3Nd8h+InaoTJ55icvIOFy/+E8VihoGBE3W3bWnp5Mknf5vV1U22tzcqz0id\nTodKpSSTSZNOp0inUywvz1ZgP3sjm02zsbHM8eMXOHToHE899bs8/fTv0draTyaT5vr115mfX+L+\n/Xd5993XePDgXRYXH7K9vUo47GNq6i7Dw6eqfgfSNbSwME6xqKWvr/Z5sbIyzZ//+f/DnTt+PB4d\n+XwRp7OL3t7znDr1bzlz5n8vb3eH1dVr3Ljx13i9KygUOoxGB+3tRxkZeZ5z5/6QUilDqZTi2LH/\nFYXCRT6vxuHoo7f3PC5XD0qlHpWqwMjI7zA8/Bx2+wgOxyAGg4l43IfXe5Vkco7p6UssL4/jcHRj\nNMpZWFiiVJIzPPx5Fha2KwCU3XH48Fmy2TzLy9N1n+1SFItFZmbu89xz/yMHDhzn9u23mZi4Xl7b\nZVAowvT0dO37eth5XkmJkiAINeqa3YkViORbo9FYnumOVmTM9TyoPs3xK0sXZTIZTzzxBL/zO7/D\nCy+8UPP3rq4uOjo6ABgZGeFP/uRP+NGPfvS+979bS/5xdag+DPR5vXiv49/YiKDX7yRUIvGuVDHN\nzWTSyGQ7D1ajUTRVFIRY+WZdKCdSog9HLpdBqVShVIo38K6uw8RiW+RyyjKlyVj1eeRyOWZzA+Hw\nFoIQrRkoNZlcxGJeNBodRqMBv1+cfTGZGusmVCaTk3g8QDDox2KxEwz6sdlaSad3SIEmkx2FQo0g\nbON0NqHRmNjairK9vc7MzAOamlorWnqj0YRaLePOnTeIRMTFcUNDK6GQB4vFRTzuw2JxUCjkKpK0\nVCqGVqvHYulGJivgcJiAIgaDm4UFf12j393ERqndvXdxIkoSNahUKra2tvjOd16kVFLQ3HwIo9HJ\n0tICyeQScnmS5uYOkkmBO3eucvHiixgMRj73ud/l4MGTaLX68nlWodebyteHeE4ikWCNz0syKVAo\nlJiaGiOfd5JIhIhEtpDJSlgsdszmTiyWRjo6Rnnssd/G7XaxsXGbVCqH37+OweAExGswFttGr997\nU88QDG5hMNgpFvdfMAhCHJerGZVKTTweQqFQ0NDQxObmKvl8jrt3f05zcxcmk4N0Olnzer3eQrGY\nK0s2LQhCtAxzkaFQaIhEApXfikqlIxZL43Q2srg4Q0tLV92FqWg+qSAW2ysZFOeoJDDFL9tBknxu\ndiPXd3tC/Sokf5/2B9wnNaQO8KOofo+af9qvcyUlVCJauna/7yUDrJfciXNR+bozVXulg4FAtFKk\ny2azqFRiEdFstpbVAoPMzY1z8+aVisRPCtEmw16ltNgdsVgIm23/xWQ2m+P48bNsbi7x4MHtutsE\ng54aye/uOH78PD7fBvG4gE5nRC7fX6IkCHEymQSnT3+GiYk7FIuFMsihVAY55CqJlSDEyWbTjIwc\nryIE1ouDB0+xsbHI6uosBw4criTVUpKp1eo4fvxxJiZuVN2z5uYeks0mOHLkcU6efIJQKMD09J26\n7+FwuOjvH+XBgxsYDKZHdg7S6SQ6nYrPf/6rLC4uc/36L/B4ViuEPIVCwcOHd7BY3Fgs9RPemZm7\nNDb2VK0NtFo97e0HGBl5HL3eyu/93v/BY499gdbWI6hUDiKRJAsL8/z0p99nZWWD27ff4rXXfsCl\nSz/mypV/4tq1X/D22y9y8+YlNBolDx5c5sGDq9y/f5WrV1/m3//7/4t/9+/+X6amAghCkkJBg0Yz\nSiSSZm7uKgsLD5mZeRONRsPBg08wMHAalUpArW7B4/EwNzfB+PgV7tx5jQcPrpPJxNHr7Wi1Orq6\nhlEqzSwsTLGxsYTT2U8w+BBBCKNUuvD51jh48CTNzX0Ui0ai0XVGRo5x/vy/oavrGJAiEFhifv4m\n6bQPlcrI6uoSuVwDHk9tl0oyvD558jNcu/ZqXaoxiCASpVJBR8cBOjp6uHDhS6RSeS5e/BFzc7c5\nfLjjkQTM3SEpLKREKR6P1xQBpcRq55yKiZhU0JG2l17zaX/e/Mr7b7lcrgaKsF98kKRIr9e/pwHg\nhxWlUolisfhI9PlHFfl8Hr9/x1AVwOvdqNKRC0KqKqGKxYJYLA1EIusUCtnKQk/Ek4tQCa1255zE\n4366ugaZm7tHIOCrmp+SwmptJhzeIpmM1wzcSnNUACaTg3g8ik5nQK83I5OVKpAMKUwmccYmHA7Q\n0tJBOOxHp7Mhl2fJ5cRzajDYkcu1JBIeFAoVFksrsViaa9eusr29WlMpGx4eJp8PsrAwxoMH71Is\nQioVR6s1kUiEyefz2O0u/P6tsvFwDovFRijk5cCB83g8s+VWuIF4PMXf/u1LlX3vTqR2Exsf9ZCS\ny+V85zt/h88Xo7v7LH7/PKChsVHHM8+cIhLxE49Hefvtl9FolHR3DzI4eKzqZuj3b1foflIUi0Vi\nsWhNFTYcDmIy2ZieXkGpdBCPe7DZOkmn/bhcR4lEVrHZOgFQKFS0tR3FZNKQy+VYXp5AoRATgEIh\njyD4K3CKnfdNE4ms4XAMIZeLks29kUolKZUo36SdRKOiR1RLSyd+v4fJybcplYr09z+OwWBBEOp3\njXQ6I37/Bs3N7RXDaKVShcXiIpsVKBZLZDJpFAoN8XgSu72B9fUlurvro3pBxKcHAp6af1erNaTT\nxQ/VZ2o3cl3yhIpEIuTz+X82cv39xN6E6tP+cPukhgQmyufzNQWX3dvsl/i8V+cKxM7UflS/R8kA\n90vCpH3W29/uYwwExEJUPp9DLldUfbZYLEJzcyfnzz+P0+nk5s2LTEyMkcvlyrNNQdzuWqiUdAyC\nEHtkdT4SCdDS0sm5c58jFPJx5861qt9ToZAnGg1WzU/tDdEKpIl0OlFDqNsbGxsruN1NNDW10dLS\nxtjYuxXZlARySKXENcHi4iytre0MDx+jWMw+soumVqtRq7UUCjmSSfE+ujfJdDrd9PaOcPv2JbLZ\nLMGgn6WlSY4ffxKlUlmexX2a9fUlFhZqsfCiiuM+X/rSV0kk0rz77i/2JdiOj9+gp+cgTmcTTzzx\nG/T3P8bk5ARvv/0yGxuLZLMZfL41+vuPVlQ5uz2skkmBzc3aZ7IUMzN3sNlaaGhoxGy209bWxeDg\nEY4de4KBgWO4XB189auUFnW+AAAgAElEQVR/zLPPfpWzZ3+LQ4eeor19FKu1jWhU4PDhz+FwdKHX\nN5JIZPn5z/+Rv/mbl7h7d5tYbAuDoYHW1sO4XGbc7jAGwxQnThziC1/o4w//8DT/+l8f4/nnbZw5\nk+P06U6efbaT7m4PTucSGs0YxeJb5POXEIQr5HJRbt36FteufQuf7zqFQpjNzVkmJt4hHl8hGk2w\ntjZLc3M3er0Jp7ORrq5R4vF5gsFN5HI5NlsLPT1nGB39V+h0LtTqFIXCOrOzN1leXmZ52VcD65qa\nukdDQyvHjp2np2eUd999E59vs2qbTCbLzMx9Dh06U1GP6HR6Tp68wMjIaZTKOO3tbfted/uFNBNs\nMBjI5/PvK7GSisnZbJZoNFq5tj7tz5z6paCPKPx+PxcvXuSLX/wiWq2WN998kx/+8Ie8+eabNdu+\n8sorjI6O4na7mZmZ4Rvf+AZf/vKX3/d7GQwGkslkhbj1UXSoJGmFlI1/GLS+DxrRaJRSqbrCFAhs\n0da2I22Kx5Oo1XpKJRGZ6fGsYLG0EI1miUZXkckOVsm3kkkBnU5MqFKpOPH4Ft3dJ/H5fKytLTE4\nWHtjtNnaWFkZo1Ryl6tQskp1bvcclXizV5NMCmWvKlEOmM/nysmdHJVKRzTqQ6FQ0N9/EI9nA6Nx\nAIWiQD4fR60WkewWSzPR6CLFYh6Xq5NQaIa7dyf5yld+u8o4EkTZ38LCKkeOPEEgsMn6+hSxWITF\nxXk0GhOC4KehoZ2FhXG6ugYwmVyoVHISiQjd3cO43YMkkx7s9k5isXVmZvzcvXuXkZERcrlc2UPr\n0UnU7rh//z4//vHbWCz9KBQGIM/w8EGOHetmfPwGfr8Pt7uZCxe+iMFg5vLll2skDcGgp64nlVZr\nQK3W7Pl3P8ViEb+/QDQaRCZLo1abyOVy6HQOIpGHWCw7KN9MJonF4iKXS1IqiXNECoUWu92JIATp\n6WmoEPXy+TSpVBiz2UoqJcPt7sLvX6W9fbjqGGKxcMVjxmJpJBLxAAfRaHRks0FSqQhGYzfW/5+9\n9w6OK7vOfX+dc+4G0GhkggAjAIIkCOYww5nRUKPgkdO1xu9a9vUtlW+pXHUtP8v2k2W/UpXLlp9q\n7JKtZ7uuJGuuLY3CKE3mMOeAQIIEQAQiNEI3Oufc74/T3UCzG5wZaYLeeNY/LHY4Z/fBOXvvb61v\nfZ/RSjRqJhz2YbVWLgC5nIRcLobd3sTt2zdLr2s0ZoLBCSQSMRKJlEwmTTAYY27uPjU1tcTj8QoJ\n2WIIvmeuqj1WRYNfs9n8ji8IRcn1bDZLKBQqVTffjbnkQ1GK9z/WqvrB+ga+RaBSbT55WOWq2OdU\n7Xvr9UABVal+xbGsJ8KzVlSieIxEIotOJykwNMrnoFDIi1YrCCVt3NjFhg1buHPnOqdP/5TGxg5y\nuXSJVfFg+P1elErlutl1IZHkxWKpRS5Xsm/f41y/foorV86xZ88BJBIpXq8HtVpb0T/14O/1+1c4\nePA4IyPX0Ol0GI3Vx7S87KSzU1Ck27p1FxcuCH1inZ3bCubFyoIYVZLZ2Qn27z+OSCSip2c/Fy68\nSk1NXdVjLy05C/TvvVy7doqjRz9e9bltb99CMOgvKPvF2bJlV1lfq1qtpb//OJcvv4ZEIqG1dUvp\nWt28eR67vYG2ts00N3cwNHSFs2dfYPfuYxiNq4a7k5N3yeWStLZuK6wVKhobW2lsbGVuboqpqRFe\neeW71NVtQKlUoFKpSKXSxONxpFIZMpmM0dFrOBydqNWVidhIJMD8/BSHD/9KxXupVIrBwTNs2bIf\npVIFCPeuUqkimYyzvDzJ3r0fo7GxjUgkxL/8y59y48YdxOJGNBopra1yenqe4OjRx6mpsSGVypib\nG2dqys7Ro58AKPXLud2LjI2dR6+3oFSG6OtrRqXSIpcrkMuVLC/PsrjYhNVqZ3JylokJJ17vDNms\nBJXKRCqVw+OZRCyuI5ORoFBkCIVMqFRGRKI4fX2PMjl5DZ3OzsaN25FIJNy7N0Jn52ECgVG2bn2S\nlZUJhobeYHlZTEODoaRm6PWusLw8x7FjTwOwYcMm1GotAwPnaG/fVDIxvnNnAKu1hpoaR8W1FIsT\nPPXUkV9oTSmq2AptFYlSwmctA6u41y4ytORyealXtNp89UGL9/QXikQivv71r/PZz36WfD5PR0cH\n3/72t9m9ezdzc3Ns3bqV0dFRGhoaOHXqFL/zO79DJBKhtraWZ555hj/90z99y+dSq9UlafJ3OorZ\nw2IzsVKpLEnXvhvxMEDo9QYQi1crQoLwwTK9vUdKr4VCURQKfQn4hcOLtLb24vOlyefdhEIrmM2r\nWbtYLILBIEyqS0sTWCwN2O2b8HrniUSSRKOV1QelUksmk0UqzRbGu/qeIPQgCFCEQgGMRjOLi05U\nKjFu9xwTEwM0NLQjlSrI57PE41Hu3x/BYkmTSvVgMJgJh6NotWaSSQ9qtTBhCL1WEiIRF1ZrA2Kx\nGq83gEZTqVpYU2NHIkkRiQSoq2umrq6Z6ekRxseHyOdjxGIZenufKBjBrmAw1BIOL2Oz1bO0NEtj\n4zaczkGyWS21tW3MzAzz1a/+M//6r8+iVqvfVrNlLpfjL/7iK0SjUhobtxMOz9Dd3cfOnc1MTd3i\n3r0Btm/fR3f3HhQKBclknHA4RG1teTNzMOhh8+byJl6fz43ZXOlAHwr5mJmZJhZTIJeL0OttpNNx\nNJrNpNNRpFIRKtUqTTAejyISpdDpGkgmg9jtDbjdS0SjAfL5HAaDpdQ7kUrFiUbdtLU9wuzsAg7H\nZpzO0SqAylda8HW6OpxOIXPq8cwjFkcRiezI5TIUCiU6nQ2Xa6bq9UunQSYTo1ZrkckkBbENU0Hp\n7zogLmXIZDI9k5N3MJutLC46CxW9ys1JTU0dc3P3Kl4HkErVeL1+TKb1m91/0SgqnalUKjKZDKFQ\nqDS3/GdYiP6zRDqdLiliFel5D84dxXm62t+9uPZU83MpvieVSisqnUXfw2rfKyqlVWtULwKtovJf\n8bvZbLbQS7t6vEgkAshJpdIVXkkAfr+PpqZNyGRFbysx3d37cbsXuXr1FIGAvyB4VLnx9vu96wKb\n4vsqlaoEluRyOXv3Psa1a2e4dOk0/f1HcLuXsViqKwoXw+12IRZDe/s25HIFV6+e5fDhJ0ob+mJE\nImESiSi1tcJaJBaL6e09yIULr2K11pWsLgSvvSX0ej0qlZZEIoFGo2Pz5m4GBi5x+PBHKvYNAijr\nwmp14PEsMzY2yLZt1Xucenr28O///q9oNEqamjZWvK/XG9i791EuXz6JSCSmpWUTo6NDZLMptm7d\nWxrjzp37uX//Hpcvv8rGjdtpb+8mEglx794Qe/c+TjqdrugBb2ragEajwefzUlfXypkzP0On02K3\nN1FTI/gMLizcZ3l5iePHj1Qd/9DQeVpauqqCrYGBN7BaW8pMevP5HLOz4wwOnqW+vo3Z2WGee+4v\ncDpXSKf1OBytbN++mZoaO1qtgf37P1J2zHv3btLRsYfZ2UkWF6fx+xfQaLQFZV87TzzxX1AoKkH7\n3Nw9Dhw4jt3eyNGjwjMzNDTEpUs38PuzhX1SHSqVBZ9vipUVNc3NRkKhGQKB6zQ0ODAY9MzM3CUW\nC6JWm0inE2zevJ/JySgezyxtbf04HDu4cuUFXn75R/ze730OqVTOrVtX2bRpZ1kiwG5vQKM5wfXr\npwgGvbS2bmV+fqIEutaGIAQFdXXrV2bfThSTgEVgVaxsFxlZxYSPTCYrzRlOpxO73V51jvkgxXu6\nUlutVs6cOVP1vaampjJ54r/92799WyIUD4ZGoylR/t6pClVxESkCKY1GUzr2+9Xk7XQG0GhWqUxe\nrwuValVsQuDqp1AoREilEhKJGJlMtODpo6CmZgtO50gZoIrHozgcrWSzGTyeSbZtO15SA1Spcvh8\nLuLx5pJgQjEkEi2ZTHUQq9fbCAZdhEJRVCopAwM/ZNu23TQ3d+P1zrNjx1Nks9lCI6MYr9eHWi1n\nYuIs8XiWVCqBwVDH4uIiLtcd8nmhGTaTyRIOL1JX10s+rySXE3H79u0yryEQqoc2m41AYLJEG2lr\n24bPt4xarWN29iaDg2cRiyXMz0/R0bGFpaURtm7t49ati7S1bcbtHica9ZDPq2lv383ExEWuXr3K\n4cOHH/o3ymazzM87yWTy1NfX8A//8DXu3vUglzchFodpaTHS3m7j1q3z1NY20tDQSl/fATKZDNGo\noNZjNNrKaB+hkJ9sloombb+/HBwXIxBYYWEhTCqlwGw2E41OYLf3EA6LSKX8SCQy1OrVYwmN01ly\nuRT19ZtxuSZpbd3FyMhp0mkpEokUqVTorfB65xGLc0gkWjQaPUZjAxMTF0kkYmWVQqF/qgEQxB6k\nUgkezzxTU5fo6nqcW7cGEYmEzYVOV8P09E2qRSqVQyYTnjeDwYzP58FgMKFW68lkkqTTydKiGI+L\nSKVi7Np1iKmpMSKRzkLmTMZaYGUwGEkmk6XK6drQaHQsLLhob29713ucivQKlUpFIpEgHA6X/G9+\nUQrxh5S/9z8+/elPo9Pp6Ozs5DOf+UxV4LMeYHqzylURTInF4rKq0puZ+64nNrEWaOVyuRL4W/ud\ntccLh8NkMkK2+kGQEI/HicVimEyWgpiMmHxeRiqVwmy20d6+lbm5Sc6de4UNGzazceOWsmP7/ZV9\noWtD6LMtTySJxWL6+o4wOHieixdPks3m2bKluscRCNd+cXEOu12oijc1bSQY9HPt2jn273+kbP6d\nn5/BZqsrG6NWq2fLlt4CUHq8VKFbWJimtXUTKpWKbDZDMpnAbm9maWmeW7dusmNHX+kYCwtzhTm3\nlVQqRV/fIc6dewWLpa40rvLf7cFsNiIWS5mbu0dTUyWtWa83sXfvo1y6dBK3ewmfz82hQx+ruBda\nWzuwWGq4efMcy8vzxONpWls3odWaqgoM5HI5bt26SG/vEVpaOshmsywvO1lenmVq6hQiUQanc5rm\n5m0sLExhsdSg061W+e/fHyGVytPZWcl4GR29RigUpbd3B/Pz94hE/ITDfiYmhpidnae5uZ0LF17A\n6w2Qy8loatrEpk2baW3dTlNTK5cuvUR39/6yY965c5Xl5WVSqbMYDAYcjlZ27tyDXK7k+vWTdHbu\nrAqmVlaWSKczZddfUFzcSnd3N4lEjJ/85NvU1W1nYsKD0yllfv4CweB9mpt309f3JGZzLXNzg0xM\nXGZsbJJIJMmBA58gl8tRX7+dO3depbm5B4VCweHDv8Hg4A949dXncTjakMlktLRUMif0egOHDp1g\naOgyzz//r2zfvrvEAClGPp8nEnHS37/5XWFXrK1YFVtHkskkGo2mdH+l02k+97nP8W//9m/v6Pl/\nGeN976F6t2ItoPpF4r2SPn8r43gwUqkUPl8alWp1AyjIvdaTTqdJJhNEo1GkUlWJU+/zLWA01hKL\nRVGptNTUbCKR8BIKCeIQRYqCWq3F7Z5DpdKWBC9UKivZrEC1mpoaqxiPRKIhn68OqAwGO8vLkzid\nA0CQxsYd1Nb20NjYRSIRIRYLA/nSRlcm01BT08TOnZ+kvr6VsbE3iEbDZDIhUik/Go0ZlUpFODyL\n03mVdDqBQqFHrbYwOjpflQ9eX99MNusimVwdo9VqRyxWYDCY6OraT11dI1NTQ4yODhEI+EmlIuj1\nBkKhGCKRlLq6RpJJP5Anl7PyJ3/ypYf2vXg8Hl5//RrXroW4ezfPN77xKl//+k+IRsU0NrawYYMU\no1GDSJTi8OFPIJVKaWjYUBKv0Gg0LC/PYTTayiRM3e7FMpnbYgQCHiyW8o1FLBbB4/Hg8SRQq83I\n5SISiQBm82bS6ST5fBSNxopUukrRiUTciMUSFAoN9fWbkUhyhEIulEoJSqWRmZnJgmyqlEhknvr6\nzXg8bpRKFRKJGIPBhte7yvEWnqFEmZy6Vmvh7t3T1NdvxGi0o1AoSSaFv5tSKYiAJBLlz3A8HkMq\nVSESZcnl8lgsdSWFLRCAWiKx2pO3shLCbK6hvr6BWCyCXC4r9IFFSKVWuf6CJHv1PiqFQkUgIAjN\nvNvP/FrqxNuRXH8r8SHl7/0PvV7Piy++yK//+q8jkUjKZKffrDfqYZWrIvgpCkesnZPW+ko9GOt5\nXD0ItNb6W603DpfLj1QqrxBhyufz+HwutFoDUulaTydxSZY8FgvS3t7Fnj3HcLudnDnzcsmsF4Rq\nfLX5rhgej6vq+2KxmJ07D6PTGRgZuVHyR3wwimDV7/dgtzeVXt++vQ+ZTMLQULkS8dLSbFXF0Kam\nDVgsVgYGBFnzUChEKBTE4Wgt0DRXhRy2bOllcXGa+flVS4+Jibu0t28llRKuvVqtYceOvQwPXyIa\nLffDy2Yz3Lp1la6uPezd+yh37w5U9NUUQ6830dt7kIsXTxYsQSpZHMLnjBw+/BSxWJaxsQGy2dwa\nUYzyuePevSGkUh0tLQKIk0gkOBzN7Nx5iCee+C1qa9swmzdgtTYwO3ufM2de5IUX/pWXX36OV1/9\n37z00vNkMimuXHmJCxd+wtmzP+LMme/xgx98jVde+T6JRJRbty7jdN4nGhU8rhKJPHZ7HQsLE0il\nNnp7D7Jlyxb6+g5y9OjTdHX1ce/eTZqbt6LVCoq6s7MTnDnzApcu/YTGxiaOHPkY+/efoKVlC3K5\nkkQixsrKwro9tnNzYzQ2tj9w7bMlP6a5uXts2tTNI48c4L/9t6f4/d8/wcc//iQqVYSJie8xNHSO\ncDiGw7ELudyIydREf/+TjI6e5rXXnsXpHAXyuFzTpeNv2HAAMHD69Es4HOXeVGtDJpNTV9eEVmsk\nGPRx5871smff53PR0qLFYnm42fXPG8VKlFYrVPmKPm5r41vf+haPP/44bW2Vz8sHLT7QgKpI+ft5\nKlQ/j/T5u1WlWu98gUCAfN5QJoXsds9iNNaW1JqETZS81CPl989hNjeX+qSkUim1tR04nUKTbCwW\nQaFQIZFIcLnGqKtbnWTkchPpdAiHo4V0OoHbvVQ2nnxeiVgsVJNWXxP+TSRSTE5ex2p10NV1goaG\nDpaXF8hksmg0OhKJcGmx9fk8WCyNxON+xGIx7e272bChn3B4hUjEj9HowGLpoLGxH4djL6lUgtu3\nf4Jeb0EqNeP1hlleLvc2ArBaa1AoUkSjqwo5tbXNBIMryOU64vEALS1b6OrqRyZTkM9LuHjxR0Sj\ncRYXJ9Hr6zCbG9HpVLjd8xw//nukUna++MW/rDhXNpvlzp1xzpyZBjZgt2/EZKrjX/7lnwkGc3R0\nbGXvXjs+n4v9+x9jz56PoFCoWVy8T0vLxrLjhMN+NmzoQCwWEYtFicfjeL0LFWpViUSMVCqNwVC+\nafD7V1ha8hCPp1AqDUQiTgyGdlKpFNlsAolEikq1Wp1KJhOk02FyOaHXCaCubhNu9ySRiIuGhk4k\nEhEzM5MkEnHicRetrbvIZJJotQYSiQRarR2fb6Z0zHBYoGKuVc2KxZJEIh4aG3eQz+fI5fKIRHnC\nYQEQaTQGwuFyYQqvdwWzuQaZTEEsFsJgMJHJJEsTuVqtJxoNFu69POFwGL3ejlyuRKvVEAj4UanU\nqNUastkc0WiUZDJBPp/DbLbi9bor/paJRJzZ2SWWlpYq3nsnYz0VvndKcv3DCtX7G/F4nJ/97Gc8\n/fTTmM3mMpACDwc+D1Pue1BQYi1rotjP8HbNfR8EWsWxrjeOfD7P0pIHnc5QxfQ3XagwWQs2GKu/\nN5fLF3pqo9TV2dFodOzceYTm5g1cvXqaW7euE4tFSCbjJdXWahEMeqr6LhWjpqaR+no7V66cripb\nLvhICRXqB+fVnTsPEwh4uHfvDiCwA1Kp5LpqgV1de4hGA0xOjjEzM4HD0VgGPoVNqByDwUxPz14G\nBy8QCARYXHSSycSx2RqQSFYFPWpr62lu7uT69dNllcexMcH0t7FxA0ajme7ufQwOniMQ8FSMKZfL\nMTo6xJEjHyGRSHHz5ul1E4F+v4d8Ps6nPvUHeDxezp//MXNzY2WfD4X83L8/Rnf3vqrHCIV8LC7O\n8sgjv0JPzwGOHPk4Tz31GU6c+F16e58gmczS2/s427cfpLm5mw0bdrJpUz81NRuRy7U888z/ycc+\n9nscO/ZrGI1WxsYu4fP58Hpncbu99PU9RW/vDhYXZ+jtPc7Rox9Hrzfi87nw+VbYsGErU1N3OXny\nu8zODmOxmGhq6uDgwScrwOTs7BhWa0NFzx8Iz8Hy8nzZmrz2mcrn8ywsTJX6nSQSCU1NTfzKrzzB\n//yfn+GjH23HbF7k7Nm/46WX/l+s1k0YjWo2bNjFiROfx2bbhdM5Rizm58aNH+ByTRX2bjpmZpY5\nevRpxsdHGBtbj62R4tatqxw58jGOHHmaYDDC6dMv4HLNF0x8l9m2rZIK+k7HWhl1uVzO1atX+fSn\nP821a9d47rnn+PznP/+uj+GXIf5TAKpivJUNyM8jff5+bUxWVoJIpYaCOEaKQMBPNBqirq6lQMeQ\nEInESvLn6XSSWMyDydRINBouqfXV1m4mElkiEgkSiQRRq7WEQh7S6TAWy6pnQTabR6vVEQi4aGvb\nzOzsZMkzIRYT+nBMplr8/uUykYv5+VHm5q5iMjmwWJrIZNIYjTaCQQ8SiRi9vqZs4+zzrVBX10o2\nmyCVihfG2ITdvhupNM/8/PWSgatGY0GnayAcXkapjJHPy0gm01y9WultVlNTSz6fRSwOlBYmlUqL\nRqMlkxERCgkb5rq6NmKxEB0d+7Db7dTWOggE3ExNTTI1NURr624gx9TUdTZteoxTp8Y5f/586Tyh\nUIizZ28wPp6jtnZ7SQjhj//4V5mbC2K319Df30EoFOXpp3+fxkZhMp6bG0OvN5WpJLpcc+h0ZlQq\nNQqFEo1Gg0QiZnHRiU5nLMtwe71u9HozD3q4uFzzLC/H0GrtiERZ8vk4DQ29xONRMpkoMpkEpXK1\nPyEWi5LPJ8hkshgM9sJ1NqNSafB6ZzCZ6mlqakciETEycgmdzoBKpScWi2K1WlGpVFitzfj9i0Sj\nkULDuK8sOxwKeUgkVjAaheMHg34UCjX19Q0sLs4DoFZbKgCV3+/BZLKhVGqJRgMFSWZTKZutUhmJ\nxQQp4ZUVN1qtgVxO2JgIKo5CBarYr6RWa8jnIRqNotMZ8PnKAZXbvcyZMy8WVCET7zrlb714M8n1\nD+OXP/7yL/+Srq6uErW9CHyKQGU96t2bVa6K/bvFDfjaitLDxCbWqzxUA1oikajkRVVtHNFolFgs\nU0EDz+WyZDJZotEgBoOlNDcJm1Lh96bTSZLJBEajBaVSiUKhoL6+lb17jxOLhXnppR8gEonX7VMN\nBLxIpZKqvbPFcLsX6Orqx+Fo5cKF14lEVqs9xTXf63Vhs9VUVN7kcjn9/Y8wPT3K4uIcc3Mz1NbW\nrzseqVTK7t2HuHfvFjMz4zQ3d1b9nEgkwuFopq2tk5s3L3LnzhCNje3k85XS9Zs3dyGXaxgeFiTX\nI5Ews7PjbN++t/QZu93Bpk27uHLldUIhf9n3x8dvIRJl6e4+wMGDT5JMZrhw4WcV1hTpdJrBwQts\n3tyHzVZPX98j7NhxjLm5GU6d+j5TU7dJJhMMDJymvb23QtEXBPA2OHiG9vYdZUa7RQXEpaV7GI31\ndHf3YzLVYLc3Ybc3IRLlmJkZYc+eJ5HJpNy9e4nvfvdv+dGP/g2BcJKmsbGbj3zk10gk3Lhcczz2\n2G/Q3b1q/n7v3g3kcj3nzr2AyzXOjh17OXToYyQSUZqbN1X9mzmdk1UpdcX3TKa6svu6mGwQks7z\nyGSqqt5mcnmKP/uzP+Q73/kK3/nOF/nVX60hk7mMyzXNlSvPI5XK2bnzGBs2HEOp7EQulzA9fYlr\n157n4sWfoNN1UF/fyoEDT7G87ObKlVcfSFbnuX37Bnq9gYaGdtRqLfv2Haejo49bt25w4cLP2LKl\n9i2raP8iURTbUSqVKJVKurq62LJlC5/4xCcwm814PJUg/4MYH2hAtbaH6s1irfT1zyt9/m5WqKod\ne37eh0KhJpkUvJlCIR9Wa03ZZBwKxUqZF59vEY3GhFQqJ5mMlRYgqVRKTU0bi4ujRKMRNBotbvcU\nNltL2QQkZBE34vXOYjCYMRqNzMxMFc4TLPTPOAgEVjP5c3MjuN132bbtMSQSHdlsAhCh1eowGEys\nrLjR6WqJRIQHLp/PEQz6sFprUasNhELChtpkqiEcDtLc3I1YnGZy8jrZbAa12kA8nkKvr0ejUZFK\n+VAqa5icdFZk4ORyBWq1HoMhUzofgN3eRjyeIBRyk8mkkctVqFRq8nkxqVQEh6Odo0efxmCwEQwu\n4XJ5kEql3Lt3kYaGHiSSGv7mb55jfn4en8/H9773Oq+/PsT8/H1GR29w48Yp/uiPPsHoqBOTScNv\n/uZv43C0U1/fWNbrdf/+3ZISUzGWlmaprW1Ycy+IicejqFQ6DAYD8XiMeFyQa/f7qwtSjI0NE41m\n0WobSaV8SKUKdLoawmEfUqkIsThXVqGKx6Mkkz70elsZDdBsbi1IplsRicQ4HG2Ew05EIhXRaKig\n6qQARKjVeoxGC8Ggm2Qyic/nKQHLbDbL9PQVNmzYg0QiIhYLEQgIfVB2exM+n6D6qNPZiEZXAVUm\nkyESCWA221CrTUSj/sK4avD7BUClVhtIJoUK18rKEnV1jcRiQm+e1VqH1+squzZFNS6NRoPJZMXv\n9xEMBslmsywuOrl+/Qw9PXvZvn0PbnelT9U7HW8216wnub7WoX69WFuh+pD+997GzZs3+cY3vsE3\nv/lNJiYmSte/SPtLJpPIZLKqwkYPq1wVqX4PVpnEYjHpdLpEA3ww3szc90GgVeydqjaOXC6H1+tF\nKi33JxTWVMF8NRTyY7WuWi0Im1IB6Hm9LnQ6S2mtkUgkKJVKdDo9XV37MBgMuN3L3Lx5qeRDuDbc\n7uWH0gFBSDbV1sF7AkAAACAASURBVDaweXM3bW2dXLhwklAoUPq9UqkUt3uRurqGqt/XaLTs3HmQ\n4eFrzMxMVKX7rQ293oTN5mBhYbaMkl8ttmzpJZNJsLh4n/r6NvJ5yGSyFWv+7t0HCAT8TE7e5vbt\nG7S2dlRYmDQ3t7FxYzdXrrxKJCJU6j0eFzMz4+zceRSxWIxMJqO//xgmUz3nzv24jCY4PHwFk8lM\nY2NnAfDKqatzcOjQR+nqOozb7eY733kWp3MenU5fdc4ZH78BqOjoqDTanZsbxeVapr//0RL1MZFI\nMDMzzrlzP0Kp1HDr1mkuXPgZt25dJhZLs3nzVlQqJWZzPXV1FrzeZWpqGqitbWXr1p2lY9+5c52B\ngfPIZGl27NjHvn0nsNnqSSRiuN2LJWri2vB6l8lmBVGiarGwMEVDw9qkcrbsmZqbu0dDQyUlL5lM\noNFksdmE9bihoYE//MM/4B//8Qt84hPNeL3n+P73/4zp6QEcjmY6O3cjEtkIBiPkchqyWS/JpJ+R\nkVE0Gh0HD34UpdLMmTM/Kf29VlaWWFiYpLf3aNm5Gxtb2bfvcVpazLS1tVT9Xe90FOnwxblBq9Xy\n6KOPcuDAAbq6uujq6uKP/uiPPvDA6gMNqATVoYdHMYtXVF4qAimJRPK2Nhzv5eYkm83i9/tZWUkg\nkykL0rVSvN4lrNbyBSEcjiGTCQ+/z+fEbG4qLeAazeoCWF+/Db9/hlDIh1wux+e7T13d5rJzJhIx\nmpq24/fPkcvlaG3dhM/nIhQKEA4H0On0mExNBIPCA7+wMIbbPUZn5zESiSxarYVcLlYCqTZbHSsr\nSxgMtUSjnpLLtlwuR6FQodPZSoBKrzeSy6WRSrXU1bUgFmeYnb2FWm0kGo0jl+doajqAWBwjl1Pi\n80VwOqd5MMxmGyJRGvCXqjtmcw0qlRqXa7YAqOQ0N3fi8TiRyTSEwwL/v6GhHblcR2fnNvbu/S9A\nltOnv4VG42B+PsrnPvcX/PCHF3A49nPgwMcwmerJZvO88cZ3GB+fR6k08ud//v+wbdsuXK5pensP\nlsblcs2Ty+Wpr19tfM1kMrjdCzQ2tpT9huXlOWpq7Mjlgju5RCIlnU7j9wtGyA/G8PA4EomKZDKI\nRJJFqTQil2vx+5cxGmtJJsOoVKvfSyZjJBJerNZyqkAqFUap1OP3C1WeYNBNTU0NCoWW0dFbFZLk\nJlNToXKoKIBAFclkgunpIRQKObW1Heh0ZoJBN6FQAIPBhFyuLKlA6nQ2YrFVeqbP50Wr1SOVStHp\nLMTjgdLfNBoNkcmkUavNxOMh0ukU4bCvICGrJJmMY7PZCQZ9pR6QtSESCb2RNlsdgYCbhYU5rl07\nw65dB7HbG1GptLjdwXfNJ+rnScYU1Zb0ej35fJ5gMEg0Gi2rWj54jg9B1PsTP/7xj/nKV75CfX09\nKpWqlOwrCkjk8/mqwOet+FFVe69oxrse1W+9YxY3RuspS1araCWTSSKRKFJpeSa8yAJIp5Ok02mM\nRlPp/Nnsqimx1+uu8Jda7TcSkpr79j1GOp3i1KmfsbAwW/ZZj8ddBtYejFDITy6XKVEG29u30tm5\njUuXTuPxrJSe6UDAU1X4oRg2Wx2Nja1MTY1WNP9Xi1QqSWtrBwMDlx/6OaEvWw/k8Xhcazys4mQy\n6dLcIJPJ2L37EEND11levs/GjdV9nTZs6KStbRsXL75MMOhlcPAyW7fuLpufxWIx27fvZOvWvQwM\nnGNk5ArT02MEAm62bz9UVoUpRk2Nnfb2LZjNDrZvP8zY2CCvvPIcV6++zPj4DVyuORYWppmbm2T3\n7iMV4/L5XIyMXKen5xDhsI/Z2TvcuXOB11//Ft/+9lfI5ZSYzQ1s3NhHNOolm83S0dGD3d5GNptC\nKpXgcHSwd+9juFxzdHUJohNu9xJnzvyIoaE32LHjMAcPfgybbVURd3Z2DJutsUKpEYr9UdXBcTQa\nIhIJ4nA0A6tJ9+IzkEol8HpdNDdXfj8YXKGjw1FRETMYDPzBH/x3vvvdZ+nuljI4+O+88spXcDqH\naGrqZX7+HisrLvbs+S22bn0Mvz9BIOBBIpHQ07OfrVsPMjBwiaGh81y9epru7n0VlVlhLZjl+PHd\nKJXrWwS8U1HcQ6tUqtLckMlk+PM//3P+4R/+gb/5m79hZGSEaDTKtWuVzKEPUnxgAZVWqy1rkHuw\nylM0VyzSAtVq9fviI/V2ojjJJhIJlpeXmZ5e5OTJ/83Jk8/x6qvPcePG2UIzvxDJZJJcToRYLCnQ\nrhYwm5tLxr1rF0a5XI3JZGd5eYJ4PIBGYyw7VjQaRqFQo9UaUSpV+P3LSKVyGhtbmZmZIBIJodMZ\nUav1iMUwOXkTl2uEzs6jqFQ6otEwdXWtJBJB0mkhy2ix1BGPR8lmhcUiEgng861gNgsLn1ChWG1M\nFkCVmHw+RW1tAyJRjvn5iQIdEyCHw7GDcHiOVCrPzZtXKq6hzVZHMOiludlAMOgq+Yg1NGwkmUwT\nja4gEokwGmtQKpVkMuD3CwCxtXUL+byE2dlbOBwdbNt2HJUqh0plRi7XMDQU5J//+T949dXvEgp5\nEIvz/Md//B1Xr95Dp9vIV7/6DZqaWrl58ySbNu0qo8CNj9+gvX1b2Vhdrjm0WlMF59vjWVpjTikq\nUXDC4RAajZ54PFYyBpyfv4/fn8Rs3kgi4cZgqEettpFMxkkmQ2g0OqRSDVLpatY5GHQBeazW1rLz\n+v2LWCwb8flmyOWyBAJzGI01bNvWh8ezRCJRnj22WFoIBJyEQkGUSg16vYFYLIjLdYfW1r1ks1l0\nuloCgWUikUhJFtlub8LtXkCpFAB/0SQ4EPCUlL40GksJbAnAQofP50Wl0pHNplhYmMNgMBc2hhqS\nyUSJMletT6oYVmsdHo+L0dEBurr60GiMBQpkjlxOVqZE+m7EzwN4iv4gRc+9UChEJBKpUHr7MN6/\n+Ku/+iueeeYZAHp7exkcHASEjW2xwrQeYFrP/Hc9QQkQ1reHVaCqKQUWVWzXA1pQeX8WzaiHh0eZ\nnp4sGdHmcjkymUyhOhXAYLCUKQTK5avnCAR86yr4ZbNZYrEILS0b6e09yKZNPQwPX+PatfOkUslS\nZX7tBvrBWFpaqDDzbW3tZMuWbi5dOkkkEmJpyYnRaHqoR5Xwu/J0dGzi6tWzFearayMSCRMMejl6\n9ClisWCp/6pahEJBQiEfBw48zujoIMlkokR9TKcFBbVikkSvNxTMxlNEo6F1j9nevpn29u388Iff\nQCaTVlX/A3A4mjl8+GOsrKzw05/+G62tWwtV00wFwE+lEgwOnqen5xjd3X0cOfJJjh79NWprNxKP\np7lz5wbf+94/4vcHuHTpp5w+/T3Onv0BZ8/+gJMn/4PnnvtbIpEwN268yvDwRVyuZaLRBOk0fOYz\n/xcf//gzZDJRvvvdvyOVUvLEE7+NXm/g8uWXqK1t4/jxX6Ojo4uJiZvU1LQgl8u5cuUkQ0Mnsdvr\nMJls7NhR2dPldE7Q0lJJu8zlciwtzdHYWF30YX5+oiT/DqsJguL/nc5pLBZ7Re+VQOMN4HBU77ET\niUTY7Xb+/u//ms9//iMYDC4mJ19laOh7tLR0olDkGR0dxOPxUFfXx+LiqlCS8Pf6JIODt1hamkOt\nrvRV9HqXaGtTvWMy6W8WiUSiorr+zW9+k8cee4zWVmEPUV9fzz/90z/x5JNPvidjer/iAwuoqvVQ\nwSooicViiESikmLf2/ERqhbvlnlwkWNflKYsimMEg3GamzfzxBO/zYkTn2HnzkfQaGTcvXuZwcEL\nJcCYzwsbZb9/GaVSXeg9CZeMe9eG1dpOOLyI33+fmpryCTgcDpYyXCZTI16vIPpgtzeTzaYJBoUe\nGWEhVzExcZGOjiPodMbCohrEaLSh0RgJBgWQJJFIsFisuN1LaDQmwmFPAVAJ9A2hQuEvZRCNRhup\nFKTTCSBBU5MguS6XqxCLVYTDyzQ19ZHPZxCLlUxOzlf8RputlmDQj9GoI59fKUjgy6mtbUEuVzM7\nu7rwNTVtIhKJlgCVVCpny5b9TE1dJ5mM09PzJAaDEZlMWvDA2EMiYeSnPz3LX//1V/nSl77IvXsp\nDIZOvvSlL2O1Grl8+Sc0NGykuXlVNcjlmieZTNLSUq4kND8/RX19U9lrmUwGv99X8j8pRiAgNISb\nTEYkEinxuJAsOHXqx2SzcjKZNAqFDKlUhUplLpj75hGL8yiVq8AulUoQCi2g19eVyQQL94ALs7kB\nuVzF0tIE6XQcrdaIRmPCYqkhEvHj969S9NRqA1KphMXFKXQ6A7lcnvv3b9DW1otCoSGTSaNSmVla\nmkSj0ZZAndFoKUjnu9FoVmmffv8KFktd4dhGMplECZwLxrwCUFIqtSwsTJaaxkUiVWkusFhW+6iq\nhcVi4/btGwXTy060Wg0ymYx4PEE6Lcfn871rz/kvWj0qSq4bjcIzFw6HCYfDpNOrWe4PK1Tvf/T1\n9TEwMAA83Ig3m82WxIWqvbeeoETxe9XsPNZT6HsY0CrSCh9UDyx+RyaTIZXqUKtVnD37MsPD1wmH\ngwXmhBi/343BYC2dXyxeBXoCK8GHzVa9wuTzuVGrDSWT0Obmdg4ePEE2m+G1137MnTvDqFRK1Or1\n+0RcrupUvtraRrZv38PAwEUmJu5SV9dU5durIciqz7Nv3xMoFHJu3ly/8jQzM4nd3oBCoaSv7wjT\n03cqRJyKMTU1Sm1tA01NG2htbefq1TNks5kS9VEmkxZMkxNMT99Dr9fR3/8IV6++UQKw1UKnM6JQ\nqIhE/Hi96895CoWSfD5Pb+8RJiZGuHz5ZTKZyn7RgYEz2GytZYwJlUpNS0sHPT37UakUHD36Gzz9\n9Gfp6/sIXV1H2bx5Pxs39pFIpNi//1N84hP/nRMnfpdjx36VtrbNhMMeenoO43ZP8+qrz3Hv3iAH\nDnyKEyc+xfDwWS5depmenkc5fvyTqNU6YrEIs7MTiEQSzp//IXq9kmPHPkU6naa2trWiCrWyskgu\nJ1TXHoylpftotUa02upm78vLq0qOxT67tckGp3OK+vqWiu+FwwHsdu2bei5JJBI++tETPP/81/n7\nv/99HnlkIyqVhEDgHsHgJF7vMhMTd5maWi6oIAsxPj6Mw+Hg0Ud/i5s3L3Lz5qlSL1wiEUUiWaar\nq3rf3jsdmUym1CJTDI/Hw3PPPccf//Efvydj+GWKDzSgKtIqiotKIpEgkUiUMrrvtfT524m1KoOZ\nTAaRSFQmjuHxJGlq2lRamEKhIB0dOzh27NdIJPycP/8zgsEAIpHwvt+/gMEgbMJjsWjVBSiTEaNU\nqgkGF7FYmsveE1TahIqV1dpGIDBfWlwtljoCAT+JRIJoNEQo5MZksqHTWQBRQW3Nj8lkQau1Egqt\nVghqahysrCyj09WysjIHZEuVG7lc+L2xmMAFN5tthaysDJEoRSIRQ6t1IJfLyWYlRCJLaDRGNJpm\nQMziopf791fNWoXm7zxKpYZw2EtnZx337w8RiYQQiUS0tXUzN3e7JKWt11uor29jfn68JILR1LQV\nlUrH0NBpJBIZ+bwBp3OCzs6PkEi4UCrbiUQCuN1uUqk6zGYHe/Y0c/Pmj/nBD76GXm9l06ZyM97R\n0au0t28vuxdTqRQezzKNjeVVopWVBbRafUVWzOt1FTYtQsWqCARGR+8jl5sIhZw0NPSTSPjQaGy4\n3fMYDLUkk/4yup+geufFZFqlORQjFvNjMNRitbawuDiO0WhHLE4hFstJp7Ns2bKDe/dGiMdXExkm\nk53FxUm0WiMLC2OIxTnq6wXDX4VCiclkJxRyIRJJCptL4Xy1tQ6WlxfQaCxEIl6CQT8ymbSsOVio\nfAYL92AtgYCvoBQoIRoNlEw8ZTIV4XCicL/VV5VGL0Y4HCIUCrBp047CK4Iil1arQavVMz/v/rlV\n9h4W7yQdr5rkerGytnbMv6xz3/sVR44cQaVSodPp0Ol0bN68uernvvnNbyKRSEqf0+l0nDt37i2f\np7+/n4GBAUZHR0kkhPvywXvpQeW+au9Vo9+t9aqqxspYTynwrQCtBwFVUQwjGo0ikWjYvn0Phw+f\nIJ1OcvbsS4yPj5DNZgqJEGtBoCJdBgIDAS8KhboqHQuKNiCrmXaRSIxOp6O//xhdXX1cu3aalRUP\nyWSi6vcTiTjhsK+sDxVWe2FaWzeydetOhoevlfWLVguXa6GguGlm164jRKMBRkeHKz6Xy+VwOu/T\n2ioIHWi1erq79zA4eIl4vFxhMJGI43Tep6VlM1KpjM2be1CpFAwNXS383lXqYz6f586dm7S3d9Hc\nvAGHYwNXrpysahGSzWa5desaBw48wY4dR7h+/Y11jctHRm6iVMo5ePAEBw8+hUpl5MKFF7l58xSh\nkMACmJwcIRZL0dXVX/UYo6PXSKdFbN++p9DjacJisVFTY2du7g61tc3s3Lm/tG55PAucPv08yWSC\nyckBxGIlGo2O9vadGAxqrlx5kVDIS1vbdvr6Dpaoj9euvUIoFCSd9nPo0FNs2bIHsViM0znFhg2V\nz+vc3BgNDe0Vr4PQH7WeJHko5CeRSJYqm8VqcDHZEIuFiUTCZRT9YsRiPtrbq/fiVQuRSMS2bdv4\n4hd/n899rp+dO9tIJBYIBkdJJFYYH5/j9dd/RCIRY3DwEsvL99m//6O0tXVy7NjTiMV6Tp16gbGx\nAVZW7rFnz8b3hOq3VohibW/ul770Jb74xS++J2P4ZYsPPKB64YUXCIVC5PN5JBLJm0qf/7zxTlWo\nqqkMFildax3pE4miAIAQKytObLZG5HIle/d+FINBy6VLr5ZUlQKBBazWFgDi8UiJd7t23LFYEJXK\nTDabqchSxmLRkoeQkDGUEQi4Cj4VcYxGM0tL80xPX6G5WZjYiiAkHA4hl8tQKFQYjfWEw6vCAHq9\nCeFUKtzumYoeIKFyJVQoitQukCAWg9s9h9lcQ11dO16vi1hsBYlEjNncRiqVIpkUMzR0rcDxTZUm\nRbu9Eb/fTV1dLRZLlrt3LzIycgWFwkAsFmB4+Dxe7wKJRJT29h6y2TwzM7cBEItFbNiwk2w2wunT\nP8PrlbKyssiNG88RiyWBLBrNMTKZLAqFn127HDQ1NWEytdDevgu/f4WTJ5/n9u1LrKwsMDV1G5FI\nQmtreb+SoC5kQ6Eo32i43ZVy6SBkcssFKURMT9/F70+hUKgLaorNJJNRVCoTweAiVmsTiUSgTJAi\nHPaSzYYwm1eBnKDwlSGZDGIw1BXodh4kEiUKhbwkwW+x1OJwNDE2NlzKvJtMLfh8c2g0KhYWhmlv\n31d2XGGRkqNUSslmBa+qTCZNTY2DSCSAXK4lGvUWzHvL7w2VykA4LCz4SqUKhUJOMOgnHs8hl6+q\ncgqASqD/ms01xGLhqs3t8XiUiQnBFLoocrH2emo0egKBWKEXLEkwGCxUgX856XRrJdeLm9i1YPBD\nQFUeIpGIr33ta6XK3ujo6Lqf3b9/f+lz4XCYQ4cOveXzNDY24vF4+OQnP8mdO3cq/KiAh1L91hOU\nAGHjJxaLSwa/RQD0MKXAhwGtImgq9r0Wj1cEJAqFAr8/AAjzlFKpYevW3Rw8+CSpVJSTJ3/M1NQk\nBoOZZLLYf7J6fo/n4YISXu9K1eqVSCSmqWkDzc3tmEw2XnvtxzidsxXP4vKyE5PJUnat8nkKY1Eg\nEkEuB9u39zAycoOlpUpWQzFmZ++X+mmkUil79jzC3NwUs7PlvboLC/MolYoymXe7vRmHo4Xr18+X\ngdLJyXFMJitGo7GkjNvbe5BgcIXJybtrfq8Ip/M+ZrOFmpp6EokE7e1b0OutXLt2sozeCzA+PoJa\nraGpaSMORzN9fccZGxtiZORK2fnd7mUWFyfp7X2EfF6gie7YsY9jxz6FQqHj4sWXef3173Dt2km6\nu/dXvR9drllmZyfYtesYYnH5/TMycplUKkNv72ESiRizs3c5c+Z5/tf/+r+RyYzs2HGM48d/E7E4\nQzAYxOebIxIJ0tNzBJEI+vsfQaFQ4vN5eeONHzI8fJmDBx9nz54nSowZp3MSjcZQIaufyWRwuZw0\nN1fKhqdSqUL/thm3e5m5uftMT48zOTnG5OQ416+fRS5X4/d7ChT6cnEXp3OSmpr6iushVBYFtdu3\nGxKJhH379vLXf/0/+K//dRcKxQrLy+NAhIGBMb761c8zMzNCf/+JUhuAXK5gx469HDjwMdzuBerr\n8+8Z1e9BIQqAGzdu4Pf7OXHixHsyhl+2qN55+v/zSCQSvPjii7z00ksMDQ3R29uLzWZ720IT72UU\ngZRAiRCXMoJFudq1C4Xf70ckWqVp5XJ5/P7FMmfwnp6jjI5OMj19jQ0b+sjn02i1wkMejUbRaiub\naiOREGJxEq1WTzC4gsEgbNAzmQypVLLUiJvPg8HQwNLSFFqtlXg8Qnv7NoaGXsfhMNHW9jjRqI9g\n0I1K1UogsCqZrdPVEo8HyGRSJTl3q7WWaDROKOQrAKbV0GpthMMe7HYhy2Q0WvF6Z8hkEoRCITZu\n3I9CoWRpaQyfb5FEIoTJVEcwWE84fIuJiWVSqRRSqQyJRPDjstnquHt3ALFYzKFDexCLbzM1NcfA\nwHkikRUuX/535uc3I5VKUKuNqNUGhodPIpebgRw+X5ipqRHE4hZSqQhKpQydroVYLIDLNQzUYLdv\nZMcOM7/5m/+jTE0RRLhciywszDAwIAC5vr5DBTW/xtJmZ35+gvb2SpUkj2eRHTsOVrweDPoqsocX\nLrxBMqlCJkvicPSQSgWQSgXaRCwWxGJpYGpqoKxC5fEsolDI0WhsDxzfi0QiQ6Uy4HbPYLHU4/fP\nY7d3EAr5S/K5DQ1tRCJBJifvsmlTF1KphkwmxvT0TWy2ZrTaclCUSiURi9WIREkUCmXJAiCXy6HT\nmQiHk0SjXjIZDW1t5dK2arWpJEwh3BsWfL4VEokkOt1qskEmUxIIpMnlckilUgwGIy7XMo2N5VXY\nW7du0tDQgkgkgOQHs9rCxldGIpHAYDCUKsjFLN0vQh1+NwFOcfNdNCUvjrkalew/e7xVcPyLgGih\noT3FkSNHOHDgAKlUqsKPKpvNVqUMFQUl1Gr1unLnKpUAbtYCqvWUAh8GtIqgqTiOtUp/a6tgTqcH\ntVpIyqTTAqAzGEz09R3j/v1xTp36CWfPvojD0caWLeXVeZ/PRV1dS9XrlEqliEQC6wpOCL57SZ54\n4jdYWpplYOAiTucsPT27SxWvxUUn9fXlz3k6nUIiESOVCpvhhYUZOjp6UKt1DA6eI5PJVcwNqVQS\nr3eJnp6+0mtqtZbduw9z5cobaDSa0jhnZyerKspt27aTy5df49at6/T07CGbzXD//ih9fUfLNuZy\nuZy+vqNcuPAqGo0Bu91BNpthamqUvr4jyOWCeXIqlWbTpi6Gh69x9err7NlzHKlUWpBUH+PgwadK\nxzSbrRw8+BGuXz/H5csvsnPnI0gkMoaHL7J9+wEUClUBxMsKyqcqtm3bTUfHdn7602+hUlm5cuVl\ndDo9ZrMdk6kGnc6ESCRhcPA83d3Hynp94/Eok5PD3L17k+bmds6e/T7xeBy93srKiosnnvgMXV27\nAbh9+xzXrp2moaGDnp4D1NTUc/78j2lt7Uat1jI2Nsjs7G1yuQx9fcexWhtKFFSA+fkxmpoqq1MC\npc+MWq0t9Np58Hrd+P1unM5JlpdnkEolBalvBWKxtFCFzTMzM4LD0czw8DkCgQAKhRqTyYbRaKO2\ntp7FxRk6O3srzhkM+mhpsVZV5HyroVKp+K3f+g0OHdrPs89+nbm5GOGwCoejBaXSzODgG2zbtg+b\nbZX2n0yGOHq0g717ex5y5HcuikIUGs1qL35RiOJb3/rWL+0++92ODxSgisfjPPvsszz77LNs3bqV\nbdu28fzzzxca2ysdnN/J+HkrVA8CqbcijLG4GEChWK1SeL3uglnp6oSWy+Ww27tZWBjnzp2zpapG\nMhkv+UE8GC7XDEajldraNpaW7pUAVSQSKvVcZTJZcrksZnMLKyunkEjExGJx7HaQSMLI5dsBMBjs\nBALL1NW1Egz6sNuFzalUKkWjEQCbxSJMCLW1DQwMXCpUK8qvoU5XU+YgbrXWMD4uqOiIxfnSb9bp\nrESjyywt3cFs7iCfl2EwtLK05MPjWSqTPrVYaojFogWVnhXC4XGk0hxHjvw2kYifiYnrSCRW7PYm\ngsFFgsFRXK5xBgZeo7FxM4mEApnMQHf3ryCVKrhz5/uk0zlcrnEymSANDbX8zu/8H0SjHgYGTpct\nbCD0++h0BqJRF0eOfByVSsvY2AiDgxeoqalHr7cQjcaory/f0AuGkukKaXSfz41Mpqzwypifj6BS\nGUinwzQ09BMKTaHX1+H1LqJQGAqqf6oyQQq/f77AvS8HtoHAPBqNpfSZxsYepqfPI5FsIhgMlTWF\nb9zYxa1blwpqXDm0Whte7yTbtn2m4p4LBDzYbIIcO1BIJgjAqra2gdHRIbLZJJmMoAK4NrRaC16v\nc829UcfNm5dRqQzAam+BMLmrSCbjqFQarNY6VlbKAZXH48Lvd7Njx8fxeFxMTo5UjBXyiERq/H4/\nBoOhoDaoK/U3BoNBFAoFSqXybQOrd7tiVDy+TCZDJpOVaMQfRnl84Qtf4E/+5E/o7Ozky1/+MocP\nH674jEgkYnBwEJvNhtls5plnnuELX/jCWxY0OnPmDKOjo3z2s58FhHu+SNt6mHLfw/qcqgGjouDF\nwypQDwNaa0FT8XjFYxWrVplMhpWVEFZrYynxV5RDB6GnY8eOQ9TXN3L//l1On/4JTU0dtLdvQiqV\n4fN56O7eS7XwepfQ6awlldoHY3FxDrO5DrFYhMPRgtVax+DgBd5442d0d/djs9nw+13s2rV6/GI/\nchF0JhIJ/P4Vdu06jFwuZ9euo1y/fhrIl/UKzc/PYLXWoFSWg1yz2caOHXu5ceMc+/Y9hlgsJhTy\n0tBwpOqYO/PgUgAAIABJREFUd+48xLlzLzM1NU4+n0ej0VTt79Fq9fT27mdg4BIazaMsLS1gMhlL\nc7+whsuRy2X09u7l2rVzXL78Gv39j3Hr1nVaWjZVJE1VKg0HDjzOnTsDnD79AjKZCqPRgsOxoSQu\n8uC+4M6dqzgcHfT3HyedTuPxLLGysszMzD0iET+Tk8NotTaGh08xPFy8vmny+SxO5xxdXQcxmxtp\nb7dhNtdw7dortLRspatrN17vEiMjF7h7d5AdO47T3y88a8vLMwQCAVpatnHq1PfR6TTs3/8RLl58\nia1bews9ZQnEYgmpVIxgMEh/fwsPxtzcOCKRlKtX38DrFeiaRqOF2toaYrEVtm//FB0dWyq+FwoF\n8HiWeOKJXy0lO7JZwafM53Nx9eodxsZuodfbkMsVWCyr63EqFaCp6Z0x0m1sbOQrX/kyLpeLl146\nx/XrnoJx8FZu3jyPyWRk06ZdJBIBamtj9PV1/8JaAG811hOiePTRR2lre7ilwAc53hfK36c//Wns\ndjt6vZ62tja+/OUvr/vZr371q9jtdgwGA7/7u79blS9cDIlEgtPp5LXXXuN73/sesNon8G6JRvy8\n8TC59jf73tJSqGyydLudWK3lKkfhcJj5+SWMxg5crjsUKRnhcBC1enWzXLwuqVSSYHCBxsat1NZ2\nEgzOlxodQyE/SqWWdDpVWnwNBityuYL/j703DZLrvM97f73v+zL79OwLgJkhhtiHAAmAm0SRoigr\njuzS4lhXdRPbqYqr4sSxpJRLSd1SqWI7JVulD1eJFV1ZtkRZlmSRgkiCIEjsGAAzWGYwa8/a+77v\n98Pp7plG90BcQMqJ+XxBofvM26e7T5/3fd7/83+ejY0FxGIJTudVxsefIZlMEI2GMZs7iEZdZZem\naNUyF0CrtZed5AQoFII+XKWyEI9v2WQLx1rIZuNV8wGFQoVWa8XjWcNqNZPLVVwaDRiNDtbXryOT\nCaRUpWohlcozOXmpZkyJRIzBYOHq1fPcunWJw4eP89xzH6FUCiCTqTEYjDQ3t5DLFXn44Wd47rk/\nYnDwIPH4GrduXUOtdmCzDZFKuctVRBNO52V0ui46OvT090vZtWuYhx46RD5f5M6dy3UN4tPTbwJi\nxsePsGvXQxw//hzHjj2PVmvnwoVXcbvXuX79Ih7PZrWny+VawWar12b7fK462czU1HmiURWFQgyD\noRONxkA6HUCpNOP3L2MytZYrVnoymQyFQoFo1E8+H8Fo7KyTbsRiXrRawcZeJCpiMLSg1WqJRDzE\n4xEMhq2KqUQiYXBwL2trS3g8G0ABtdpSrUhuJw+hkJ/m5j5SqUg1JBqExZvFYisHSceq/RfbP0NB\nehimWBQe0+kMxONRLJZWisVcTQgiqKt9FnZ7a12T9q1bkwwNjSKXy8tOkOE6GY1wjWpxu2uv0Xdq\nX/7rwr25Qh8Sqlp87WtfY3l5mc3NTb74xS/y7LPPsrRUH71w7Ngxbt++jc/n40c/+hHf//73+frX\nv/62XiOZTPKFL3yBP/zDP+TOHUHSVelNqtgy7+Tct1OfU+W5e2WA2wlQI/ng/SzZt0sHK6gck8vl\nqtXNcDhMqSTYJVc2BbcrQQIBLwaDGbPZxuHDT3Do0BPEYkFeffUnXL58tlz1bmwo4Xav17nzbYfX\nu0Zz81YPi0Kh5NChxxkZOcjU1DlOn34ZtVpblcYLUr/a3rPV1SVstubq+7FYmjh06HFu357E6Vyo\njr2ysrCjU15Li4O+vt1cunSG2dlp2tsd97GdV7J//6PMz08xNXWZgYExdvoZ2u2tDA6OcOHC6yws\n3GJwcG/dMZV+yYmJk5RKYn7+8+8RCnnp62tsqS7Ype+ju3uEW7euks2miMVC1ZDl7deBy7WC1+tm\nfFyQs8pkMlpaOhkdPcDExEfo6Ohhz55H+c3f/AOOHXuBY8de4MSJ3+Sppz6DRqPjmWc+z9GjH2Vg\nYASrtZmlpWmSyRQdHd2cP/8Trlx5jVAoyP79W2SqVCpy48ablEpw9+4F9ux5mEOHPoLfv4HZ3IJe\nbyr3lAkZVnNz01itW8qOQiGP0znHW2+9zMWLryEWZ7DZrDz22LOcOPEJxseP0d7eRzKZoLOzu/4D\nAjY2Fmhu7qj2sSsUCjQaHZ2dfTz00AR9fUMcOHAUuRwmJ09z5szPWVlZJJvNIJenMZvro0veC5qa\nmvjsZ1/g3/7b45jNEebnzzI4uJdMJs/Vqz+hpyfPxMTe91QVeye4nxHFf/gP/+EDOYd/qvi1EKo/\n/uM/Znl5mWg0yssvv8w3vvENfvGLX9Qdd+rUKb72ta9x+vRpVlZWWFpa4j//5/+847hyuZy//Mu/\nZGRkBK1W29Dl79eNCpF6J3bt28lgNBoln1fXOLAFApt1+VO5XB6LpQWPx0UqlWNtbZp0OkE8Hquz\n4QZB6gVpLJYe5HJl2UJ9kXy+QDgcQKPRlne3t4KOzeZ21tdnicc3ypWtPtrbu3E6F9BqrRSLWdzu\nVVQqTXUxDdT1UQGIxVLkciPxuPeex8XlgN+tRaxWaySXy2E2W8hkYhSLJRQKPQqFAbE4TzC4hsFg\nRyRSIZPJmZ1dq5HUAGQyOe7evcGRI0/R1NSGwWDk4Ye7aWkp4vUukUxmSaejXLr0GrOzi6RSRmSy\nIbLZKNevf4+VlTucP/9dfvzjr7OxcR2DIcMLL4zzX//rfyebzfOP//g/yWTSjI8fw+mcw+m8SyKR\nIJGIMzkphEoeOnSypp9Aq9XT0zOA1drEs89+GpVKxZ07l/nFL17kxo1LOJ1369z9AILB+j6E6ek7\nZDIScrk4HR0HSKXibGzcZGVlCrd7nkTCxcLCG+RywmKrWCyytrZQlj80koP60evtBIPrGI3t5e/R\njte7RKkkquv1Uqu1dHcPcOvWxbKePNeQYESjYWw2O2q1nnDYU/d8S0s7mUwejUZOqSQ0cWez2XJu\njxKZTEY6LRguFIuF6rWkUulIJrfbCm85/ZnNNnK5NMmk0CC+trZMqZSvWuvKZDK0WkNDZyytVo/L\n1djpbyf78rdDrD6oCtWH2BkHDhxAoxHMXD772c8yMTHBSy+9VHdcd3c3DodQ3RSayb/Ciy+++LZe\n4ytf+QoHDx7k93//96vW6SKRiEpu1E7OfferMu1EjCqEaqdw352I1nb79O2oXPMV+SiAxxNAKtWV\nyZ6onF0kPCc4kgawWOzVKpPBYObAgZNMTDzN5qaT1VUn09NX68waQDDauVd2W0E+nycQCDQ0Bejs\n7OH48efxelfwer24XJtkMllyOWEzdvvcub6+TEdHbUXBaLRy+PATzM5Osbg4h9/vIZ/P3jejqq9v\nD3Z7M5cuncXhuL/DmsFgxmbrYHV1AYOhsV18Bd3dg0CpbNCzc/aVVCplYuIkPp+PZDJOIhGrVh/v\nRaGQZ319nhde+F1MpnbOnPkxd+5crG5aguD2evPmeUZHH60zQALBHKmSN6VUqlCrtajVWpRKFdPT\nr2M2d9ZYlQcCLq5de51MJsb09AWamnrZu3cClUpTlaoXCnnOnv05c3NT9Pb2cfz4p2hpEUiPEHq/\nJeurVNsDgQ0cjn5crk0uXnydU6f+ho2N24jFeQ4cOM7ExNP09OyqWfO4XCsYDJYdjVDc7jWamjqq\nfYz3/t5crlV6e4fZs2c/jz/+CXp7+3E6b3H69E+w27UPPHqnYv7Q3d3NH/7h/83nPvcEY2Mlnntu\ngD/4g08xPj7ygcX97GRE8ad/+qf/bI0otuPXQqh2795d88FLpVLs9vrG1O985zt84QtfYHh4GKPR\nyFe+8hX++q//+m29xr2ORO93hepXjd8o9+rd9FwEg7X9U9lshng8iM1We7OPxxPo9Rba2lro6hol\nkynw+uvfJxoN1aWrA6yu3sFqFXbWSiWw2QZxu2coFguk0ynMZmvdjcVq7WVj4zalUpzu7oMANDd3\nkMulCQS86PVNrK3N11QvoLaPCiqykyJyuZZYzF+X76HRmIjHtxK2SyURMpmaUqlALhejUCiWHQUL\nmEztBAJLqFT6sma7GZcrjMez1Wy8vr5KLBagqamlxjJVpVIxOjrAQw8NUCgskM2m8Hj83LhxiXg8\nR7EYpbX1MYrFPJGIk2JxhZERBf/+3/8Wn//8Z2lvtyCXK/noR3+bdDrJG2/8iPn5G7S19XPjxhvM\nzV3jjTdeJJ3OsH//ow13MZeWbmG3t2GztTI8PM7x45/gyJEnKBaz3Lp1jZmZSWZmpqo2qsVikWDQ\nj83WXP1+YrEIm5sJstkIYrGOUknG3NzryOUaWlp2Y7E42L37cXQ6C8VinsXFSxQKWSKRzbKBhaam\nby+bzZDPJ1GpDCQSPiyWTkqlYlk2UwLqDR4AFAoFmYwbhaIDtVpPKFRrGxyPRwAxarUWg6GJaPRe\nIwihLyqdLlIsCj0/lUmwQqyUSh2xWAgAv9+HXq8vS1R1JBJb/VXbjSlAsEd3u4Xq3+zsNENDtXp4\nq7UJn2+z5rGKnCmXE983j6piX24wGMqRAVFisVhdxevesT8kVP/74u3OLUNDQ/zFX/wFZrOZaDRa\nnaMqsr/7Sf0a9TlVpHmNnqug4gy7HZU+rXuJ1v1khZUq2PaxVlY8qNU6isVijXkFgNe7iVKpRafT\n1VVh9HojFkszjz32HIVCgddf/zmTk+eIRgXXzkgkSKFQqmYS3guXaxWDwdJwsV+BzdbOww8f48aN\n88zN3apW0CoIBPzk85mGRMlgMHPkyFMsLNziwoU36Oxs7Aa3HVqtCb3ewMzM9H2PKxaLhMNBxscP\ncfnymYZB4xVUIg/6+3dz+fIb1Wp8IywvzzM8vIuBgb1cuvRLgkF/TYZVBbOz02i1ejo7BxkaGuPI\nkWcQi+W8/vqLXL9+hnDYx9TUm9jtPVWp/nZks1lu3DjD7t1H6zZnnc47RKNJxsYE8yGfb4Nr117l\ne9/7GqBmz56jPP74p+juHuLWrQsMDe1HLlewtrbMq6/+gOXlKR5//F+yZ8+h6vwozN3yus1Ej2eN\nZDLF3Nw1pqZOI5fDgQPH2b//SaBY55Bbgdu9vKNFfiIRJZVKYbXaKRZLdXLTZDJOPB6tyjTFYjEd\nHT08+ugz9PV10tm5cx7au0Xl+qj8VgcHBxkbG2F4eBCFQkEikbjv3PIg0ciIYnJykkAg8M/WiGI7\nfm0uf//m3/wbNBoNu3fv5ktf+hLj4/UNfnfu3GFsbKt0PTo6isfjIRQK/crx/6ksHiq5V6lUqtoU\n/k6J1Haytr4eRq3eIigez8a2ANMthELxsjvOGj09D3Hy5O8gkWSZmnqLdLq+n8zjmaOtbQ/5vND0\nrNPZUKlUeL0rlEo0bJCWyzUEg6t0do5UK1AikRiHo5+VlUUMhhZ8viWMxlrHm+19VADBoB+dTo/V\naiebzVdd/SrQ65uIx4XHSiVhIa7V2onFgojFGaRSCSqVjlKpiFJpRqNRkUoFEYmKaDStpNM5Llx4\nC4BIJMzNm5d55JHHEYtlxOP14YiDg7vYs8fB5z//BJ/73BE+9rEeentLlEozmM0bPPbYXp555iGO\nHt3Lb/3WJ+nt7aWtrYf19WVKJejo6EKt1tPfvxeRSEwo5KJQEHH9+llGRw9x5MhJZDJF2aI8XZX0\n5fN5VlZm6e2t1XUbDGaMRisTE0+wd+8RkskIZ878I+fOvcLMzHUUCjVq9dZu2/Xrb5FM6snlQuj1\nDhIJLzZbG01Nu4jHfUgkOpRKNSJRgcHB45hMTczNnSOTSaDRKNDpBIvjirw2kYgiEuVJJhPo9VYk\nEhm5XAq1WoNSaSOVqpXAVTAzc46url0UiyWKRQXBYKXfSbiWQ6Et5z69vplotL4iFAwGaG3tweNZ\nqYaVVoiVSARSqYZw2EOpVMLnc9Pe3kM6nUAm09QQKrl8yzodBGmPz+fC6VxELpfVLaosFjvBYD3B\nAxEikZpgsPF73g6xWFxjXx6Px4lGozW5UB8UPiRU90ckEuHUqVOk02ny+Tzf+973ePPNN3n66afr\njn355ZfxeIRq6uzsLP/lv/wXnn/++bf1Ol/4whew2WyIRCK6urpwOp1AbfXnXuzU51R5Dmj4XCaT\nqSNAldfaqU9rJwfB7dLB7WqJRKKESCSuk/oBbG4uY7e37RBKnCYaDdPTM8jevY9w4sQnUCjUnD//\nCpcuvcHs7BR2+87W05ubzh3NLEAIXbXbHfT17eHo0Wdxuze4ePEs8XiMVCpJLpdjeXlux1BXEEjf\nvn2Psrg4c1/SU4HTOcfJkx8nm01x/frlhseUSkLQcDqd4OjRZzAazWXnv8b3g6Wlu5hMZh555GnE\n4hKXL59teGwul2Nh4Ra7dh1kbOwAvb17uHr1NYJBF5lMmnQ6RbFYIBoNsbIyy8jIRJWMGwxGxscn\neOyxTyCXa3jllR9w4cJZxOISPt9Gnbrj5s2zmM2ddYQlHg9z8+Y57PY2btw4zS9+8R1u3jyHx7PJ\n2Nhx/sW/+L/o6OhGLBazvHwLmUyNTmfizTdf4u7d81gsTTQ3OxgaqjVjcjpvVi3ogbJBxx1eeum7\n5HJpHI5unnrqNxkffwSLxU4mk8TjcWGztdTdZ4vFIj6fp+rWeC82NpxYrW3lCq28biNgc9OJ3d5e\nd03n8znMZhWtrQ+WUFW+o3sr0xVSo9VqkcvlpFKp911mXlFXqVSq6rkUCgX+5E/+hP/23/7bu55f\ngsEgn/jEJ9BqtXR1dfH973//QZ72B4pfG6H65je/STwe59VXX+VLX/oSly/X34Di8TgGw1aZW68X\nqgn32x2+F9sDLT+oCtX2DKlK7tWDsGsXGoBTNenYPt9mXV9NsVgiHk8jEomJxz2YTJ3IZDL2738e\nsTiMx7PC7dvXq9bRwaCLbDaBxSKMI5fLkUol2O39rKxMNXQEBLhz562ytO7eylVz2ayiSCLhq+nZ\nqkCn2+qjCgZ9mEw2bLY2stlSXaVCp7MTj/spFIoEAl6gSGfnEOGwB7VaST4vEESlUgfIkUrFyOUy\n8vkspZIKhULL7Owa6XSGyclz9PfvwmJpwmy24/Wucy+amloIBn3I5XK6uro4cuQwv/u7n+Hpp5/i\n+eeP8i//5Qu88MLnkckUvPLK35PLZbHbW0il0tWqRn//GD7fCqOjBzh27KO88MLnGRk5zMrKLCKR\nuOwgqKZUKlWJ1fz8dQwGG2ZzveWq2+2kpcWBzdbCww8f48knP0Vrawc3b15keXme6enJ6u7uzMwy\n6XSeTCaJXK6mu/sAhUIKqVRDNCpI9/L5OFKpCqlUgc3Wi1yuJhYLkcslEYulhEJLbG5eZnHxl9y8\n+UPicRdO52kKhSTJZJB8PoVarUMi0SESpUinawMm4/EQHs8sAwPHGBgYJRrN4PPV9qOEw8Eq2TYY\nmkkmg3XVyWDQR0/PbhKJeE1/nTChyDEYbASDG9y9e435+askEl6SST+bm2v4/SvVPiqZTEU8vuWm\n1tzcXg5OvFWXCwaCE2Q0WttHVSqBSCRcZ5ubgbq/2Qn32pcnEgmi0WhVuiiM/cETng8J1hZyuRxf\n/vKXsdvt2Gw2/uqv/oqf/OQn9PX1sbq6ik6nY31duFecPn2asbExtFotzzzzDJ/85Cf5T//pP73j\n1zxw4ABXr16tGkc0wv36nCoLnJ3MJgqFQlXOux3brdDfzmttr5BJJJLqNev1+igUVNwr9RNev4Db\nvVljBrQdgp15U3VhqlSq2bPnACdOfBKzuYmrV99ibW2FtTVn3fkLGX1e2tt3DuJdW1uqkiWVSsPh\nwx+hpaWDS5fO4PFskEjEy8f03Xdd4HJtcPjwcTweF9PTkzset7GxgkgEra0ODh06SSDgYna23thG\nIAOz9PYOIxaL2bt3glIpz/XrF+uOFUjfXQYHH0IsFrN//3FyuQTXrp2rO/bu3ZtYrU1V6Xdf3y72\n7j3KzZsXcTrvIJFISKfTTE6ep6dnBI1GXzWmqUggVSoN/f0j6PUGTp78DQoFETdvXuTll/+a11//\nIVeunOKNN17kzp0plEo5MzOXuHXrLSYnf8nZsz/if/2v/4doNEksFkavb+bIkWfZt+8EUGD//seq\n55rP55mdvUo+X+Dy5X+kqcnOI488TyIRor+/1lghmYwTCPjo7Ownl8tx9+4Ur7zyd7hcd9HrDXzs\nY79FZ+dA9W9EIjGBgBubrbUccJ+s6b31eNbQaHQ1Bk7b4fWuY7HYy9dzI4v4tYYy1Gg0RFdX8wM3\nhaiYP+zUk1fZYNRqtUilUhKJBMlk8n0hVjsZUZw8eZLe3l9dwd0Jv/d7v4dSqcTr9fK9732Pf/2v\n/3W1v/R/N/xac6hEIhGPPfYYn/rUpxqyUq1WSzS6VUGIRIQFo05Xv0BvNPYHje1EqqK/fZC5V5FI\nhFJJV/Oj9fvXaGqq3W1Jp1OUShIiEQ9qtR65vCKvVGCzdaHTCUGBN25cxOdzs7l5F7W6GYPBhFQq\nqe7K2Gx9RCLryGT1N5Zo1I/LNcPg4OMEg6t1k57D0c/Gxio6nakmyLcCg0HooyoUCkQi/vJkYEWh\n0ODzbcnzSiWq8r54PIjf7yvvZHWTTMZQKmVkswLBVqsNiEQy0ukgbW27kUhEpNMZNBoLgUCcN988\nhVqtoq9vd/n9NePz1afXq9Va5HIlwWBtT4/N1lIlYGKxmKee+g1kMglvvfVLksk4TU0duN0ryOVy\nenqGyrka3uqCaWzsEJlMgdu3L5bHkJT152oymQyzszfo6dlVrVhVkM2mCQaDtLZuLSCkUind3UO0\ntXVx7NjTiEQFLl78JadO/YilpQCplAcQ09t7BLlcqNjl8yUkEiVqtZ5k0odCIRiFCHLUOGq1kBW1\nsnKGTCaAwdBCS8tDqNUtGI1dqFQWJBJYXT3L2tpFoEixCK2tfbhcCzXnvLx8FYXCit3ehl5vwuEY\nwuvdIBoViEg+nycej1XJo1QqR63WVquWlWOi0RCdnT0YDJZqMGU2m2J1dYapqV+wsHAel2uaQGAR\nnU6BQiFBo1ESiXhwu+8yOfljrl17ibW1O+Ry4irB0mr11eDvRn1pMpkMnc7Y8PrQaHS4XIEdF8E7\noeKuaTAYUKlUpFIpotEomUzmHY/1TvFhher+sFqtXL58mfHxcdLpNDdv3uT5559neHiYzs5OYrEY\n7e3CQurrX/86brebr371qySTSf78z/+cL37xi/c1TGqEgwcPcu3aNb74xS8Sj8frjGsqRKZRn9Ov\nkgHuFMa7PT/q7Y63vUK23Yp9cvIOcrmquvjc6qkQ8qUkEhkWS+M8Hrd7laameqmdXC6ntbWLrq7d\njI0dYnHxDq+++lPm5+9Ue6DW15cwmew79mt4vRuUShKamlqrRh8qlYpdu/Zx6NCTLC3d5fTpl2hu\nbkUsljaUxYFgr76xscjw8H4eeeQjBAJubtyoJz4ACwszVWWBkAX5BKurcywvb90XS6VS2VU2SE+P\ncKxAlE4QiXiZmblZM+bS0l2MRlN100nIvnqcVCrM5OT56nGpVJLV1QWGh/fV/H1LSzvHjj2Dz+fh\n0qVTrK0tkckkaW8fIJNJk8vVk+fbty9iNjvYvXsve/ce5sSJT/Dkk7/NyMgjGAzNrK87cTj2UCgU\nyWaLiMUqDIY2lEodAwP7+PSnf58jR56iv38Per2R6ek36ekZq26qplJJfvnL7+F2b2KzWTlx4lP0\n9Y0SDvtIJOJ1dvOrq7OYze0sLNzmtdd+QDi8zqFDJ3A4hrHZ2hv2g3s8Tlpbu8vZhEpyOWFNls/n\ny1XTxr1w2WyacDiA1dq0Q89hmkgkREtL/XyRy0Vpa9s5T+3dIJ/PN+xlbITK3KLTCevDRCJBKpV6\nYPPKTkYU3/3ud9+TEUUikeDv//7v+epXv4parWZiYoKPf/zjfPe7330Qp/2B459EsG8ul0OjqXf6\n2b17Nzdu3Kj+f2pqiqamJkwmU92xvwrvZ4WqVCpV7VgrYbxqtbqhdv29wOMJIpFsyf0ikRClUh6D\noXbSEsJGZQSDa5hMW4vweDxCZ+d+YrEN9HoDDscA8/M3WVq6QkvLUF15WyqVIpPpSSb9NY8XiyWW\nli6j1bbQ2tqPVCqtce2DSu9LEqXSXNc7A1t9VD6fC6VSjUIh7LK2tAzgci1QKgm7nEImUQGdzkos\nFiQS8dHU1F7W1kvJZtMUi0JfmkZjKlc4JEilYhQKGcGgB43GSiyW5ty5MzVZTZVKVKObjkCeNmoe\ns9tbqxWoUqmEXm8s9yGluXbtHJ2dfXg8qxSLJUQicDiGmJu7XpXQSKVSxsePsrq6wsbGYtlEoYRY\nLGFp6Qbt7T3o9YY6KeD6+lK5sbtW1pPNZolEQvT0DDIycpATJz5BIOAmEMjg8cyhVtsxmdrI57Pk\nckJmi0wmNA+nUiFUKuFa8vud+HzTSKUJjMY2VKoeOjomMJl6UKmsZfciDQ7HIZqb9+FwPInR2FQ2\ni9DT3DyM379Q/Rz9/nUikU0slr6qPbHD0Y9KZWB2dpJSCSIRPxqNoZoFI1wTdsLhLfIdDPrQ6XRI\npXJaWwdwOu9w9+55Jif/gUTCRVvbEEeOfIaWlgGUyhbGxp6ko+MhxsZOotd3Y7V2MDr6DF1doyQS\nPpzOeUIhf/X7SyTidf192yHIArf3UZWqO7qFguwdVcq3o7KrqNfrq2S64rT4ft6jPiRUvxpvN9z3\nnRomNcLevXtxOp34/X7sdnsNWQGqGzGNFnf3kwFudwq8N9z3Xiv0XzXevVWryjwaCoVwOn1cuvQ6\nCwu3a67bbFYwI9ruwHfvmH6/j7a2xhWmjY0lmps7cTgGeOyxT7B37zGCQS+vvPITpqevsLQ0e1+p\n3vLy3aoxRDabqbFxN5vtTEw8QzDow+PxEokEyzbcmaosrgKB0FjR640olWomJp4mGg1z5cpb94Tj\nushmU3R09FUf02h0HDx4krt3b7CxsVr9XJaW5nE4+mu+U7lczqFDT7C2dpfl5XlA+O6Xl+8yNFTr\n7CfngX7bAAAgAElEQVSXyzl48EkSiSBXr75FsVjizp0p2tu7qkG326FW6zh69GmMxhZefvlvMBqt\nqFSq8r1m63sHIRPM49lkZORAzRgymQyrtYlkMsjQ0H6OHXuK0dHDjI0dZNeuvbS2dhAMbrJv3/Ea\nMr6xsUAmk6O/f5RUKsH09AVee+1vCQRcfOxjn2Fk5AgymYJsNsvq6iwOx3CNYUgul2Nq6hybmwtE\noxscPvw4Bw8+hdFoY3NzkdbWrrr3K1Qv/VWzEolEyJmSy+Vks1lcrhWam+sJEQhmFBqNqWHGGwh9\ne0ajre43UijkkUozD9Tdb7vU7522hyiVSrRaLSKRiHg8/p6J1f2MKL785S9X5/h3g7m5OaRSKX19\nW7+dsbExbt++/a7H/HXiAydUPp+Pv/3bv63qPU+dOsUPf/hDPv7xj9cd+9nPfpZvf/vbzMzMEAqF\n+OpXv8rv/M7vvO3XuneCetCLlUqGVKXEWumZaOQM815QGWt9PYxWu0UmPZ51rNb6DItYLAlICYfX\nMZsd2x4Po9UaaGkZYWVlEputmZaWVrLZApFIvMa2Gig3LdtJpTw1O3ibm3OIRHmkUiNGoxGrtYNA\noDZhvlQqotHokEg023pntiD0URlZW7uLxbK1s9PW1ksyGScY9FAqFZHJpGWb9iY2NhbQag0oFIIr\nosnUgt/vpVQSCJVKZSwH7ZqJxdy0t48iuMspKBQUZLOKmiZmtVqDXK4iFPKVFwpb52ezteL31xJB\ni8VGJpMhFPKXSWuJtrZuWlo60WqV3L59lUJBcBECGBwcIR6PVo9PpVJIpTIOHjzJzMw1AgEPhUIR\nj2cdl2uNsbGDKJUqNBpNVQqYTqdYXZ2nvb1+AeHzudDrLdXGWalUSjhcKLsxKjEae5ibu4nTOQXI\nyWYTiEQKNBotmUwYpdKE1zvL3NzPUCpt2O276Ol5lHw+Vs13Sibj5PPC7rnJ1I5MJkOpVCKTKYjH\nhVwnnc6KVCohGNykWCyysjKJXt9R42AlEokYGXmUlZVpEokY4XAAk6m24dxgaCUe3yLmgYAXk8lO\nNpuiWMyztnaVYjHLww8/x/Dw8aqJikQiJRoV3MSECUWNwWCiVBITiQTQaGwMDBylt/cRKreD9fUV\nTCbjfXsjbLZmgsH66mr56nlbvZz3Q0UHr9frkclk5Wb1MKlU6n25V22fDD/Ezng7n897MUyqYGVl\nhdOnT/Nnf/ZniMXiOvKzk5yvUnVpRIwq4b6VBXuFAFX+5l4rdPjV9unbK2QikQixWMzKyjoOx14O\nHnyCaDTEK6/8mNnZW+VqT55g0E1bW1fD9+1yraDRGHaUXW1sCBWGCmy2Fg4efIpjx54lmUwyNXW1\nHMmwWfe38XiUQMBPV1dftRp3LyFdWbnLyMgEBw8+ydTUZW7dmkQul1VlcZlMmkwmw/LyLIODW3Jg\nuVzJkSMfIZtNcfHiG1V58tzcLfr69tQtfA0GM/v3P8bU1CU2NtaJRMKEQm4GBkbqzlut1nLo0JPM\nzl5nbW2FxcW7mEymuv5j4TzkHDr0JJmMoLrweFYYGKi3VK+g0t82NnaQbDbHmTM/wuNZR6lUUioV\nqz1l09Nv0d//cEP3u0DAhdu9we7dB+qeu337LVpbhzAat+7nxWKR27cv0d4+wPXrb/L66z+kUEjR\n3NzB4OC+qmyuUMiTTqfw+Taqwe2FQp75+Vu89NJ3iMVinDjxLAcPPlWdTwTS5KG9vavuXDye1ToH\nv8qGZioVQypVoFCoSKfTdSRjY2MZu721JpdxO9zu1YbVrVgsTHu79YE67VWq3e/WCr2SaarVChW8\neDxeXbO8m3PZyYjiYx/72Ls6vwri8Xi1lacCnU73rjcrf934wAmVSCTiW9/6Fu3t7VgsFr785S/z\n3e9+l/3799dp1Z966in+6I/+iOPHj9PV1UVvby9/+qd/+rZfS6lUVl31HiTBqUxOyWSyWgatSCXe\nr11gITi0gFK5Vcnz+zex2+t3+cLhONlsHJlMjkplqE6YsVgUnc5Ae/tupNIiHs8S0ega7e0jGI0m\nbty4Qjy+1QsTi0UwGoVEdK/XCQhl742NG9jtu5HJ5CgUSqzW3jrZXygUQKMx0NTUTSCwcY+FtQCN\nxobHs4LN1lytSCkUKtRqAx7PSrnCJ1yier0dt3upGlAM0NLSQzC4gUolJ5dLIZFIUChUSCRKEgkP\nFosDhUKO3+9DpdKRzcpZXKzV5tpszTUOgFuPNxGPx6oSsVKpRKGQR6ez4HavoVAokMvltLR04PGs\n8dBDx9DrNUQiYZzO20ilUuRyBZ2dQ8zP36gZ22y2sWfPBFevniEc9nPt2hmGh8fLCx2hybtCrOLx\nKMGgQBbuvRl6vWs1hNrvd7O6GiSfT6JQqBkZOUFPzzDptB+Xy0U8niKXK6BUKkmlwvj9dwkG59Bo\nujCb9yCRFFCrzbS1jeD1zpPLZUilEmQyIUwmR3XCKBbzqFRy8vkcer2JdDqNyeTA45nD5VpAKhUh\nFmsxmWoXAy0tg2i1cmZmpgmHQzWBiABGYwuJhI9CIU+xKNj1F4sprl//KRqNitbWXiQSK3J57UIs\nnS6gVMqqi0eRSITJZKFQEJHPCz2MAnGSEYkIMr+FhTuMjh4kFArs6JBktdqJxSI110Dl961W61lb\n24lsvXNsl2wUCgXC4TDJZPJ9kwI2Miv4EAL++I//GJvNxiOPPMIbb7zR8Jj3YpgEAvH5whe+wPj4\nePWeWwniBXaU+t3vuUayvQoBup8l+07j7eQEWCwWmZ93YTRasdlaOHz4aQ4depJw2McvfvEiU1OX\nSSYz2O2NM6Q2N5drCNN2hMN+Mpk8TU31zf3CZpqaEyf+BU1NXdy6Ncnp0//I4uJcdWNkfn6a9vZ+\npFJZ+bOoJYlClegu/f2jtLQ4OHHiN0inc5w58zLRaASVSo1IJObWrWvodKY6W3OpVMrhw08jEsH5\n86+zsbFCMhnH4Wgc5mqxNPHQQxNcvXqW27ev0dHRu02CXwu93sjBgyeZnr7I9PTlhrlTFQiVqsdZ\nW1siGo0hFu+8mE+lEiwvz/Dwwyc5evQjtLcPMz9/g3Pnfobfv4FSqWJp6SbZrAiHo7/hovvmzXMM\nDu6vI1te7xrBYJDh4a1zzWazvPnm3+N2u1levoFaLefEiU+ye/dhfL4NhoaE301lHeVyLWK3d6JQ\nqFhcnOG1117E51vEaDQyMfE0RmPtPOF2OzEYbA2Jn9vt3NFq3+Vy0traVc37FMhzpjy3F/B4Nujs\n7K5T6oBwzQcCftra6sdOp6N0dDQ1fM13g0bmD+8WlU1+jUZDsVgkFotV3/O7PZdCocCXvvSl92RE\nUcG9bT0gtLa8nbaef4r4wAmV1WrlzJkzhEIhwuEwly9f5rnnngOo06oD/Lt/9+9wu91EIhG+/e1v\nvyPGrtFoarKo3uvObGXCahTG+36bXgj9U1vmEPl8gVDIRVNTV81xxWKJSCRJNOrDaGwll8uWy/oF\nisUSer0BkQi6uw/hdF4mk4kgFmvYteshOjq6uHPnGn6/r/yaQXQ6Ay0tQ3g8dwFwOq9jtbaTzRbR\n64XJRq02IpfLCIW2XNqCQS9Go4XOzj7y+RIej7PuPYlECvL5GBKJvKyPLyGTSWlrG2Rzc+GeY4U+\nIKNxq6ze0TFMNOpFpdKQzQqLEsGYQko6HayaFoRCPrRaLdmshMnJKzXj2mwt+P317nJSqRSDwYrb\nvUYuly3v7kB7exehkLu6myxIIZIkkzHGxx9lcHAXly69jsu1TiqVorOzj3A4QKGQrVrl53I5rNZm\nmpp6ePHFb9LU1EFHR0/5xl6sSgFFIjEul5OursGyLrp2l8nvd9fIFyYn3yIQSCCXG1GpzOj1dhQK\nBVqtArO5BaXSQDQaZmbmCsHgKhKJCJttDI3GgkgkoVRKo1IZ0GhM5YrgDPF4kFwuQlvbnm3XXhq5\nXEk6ncZmE3oZrNZe/H4ny8uX6OgYL/dH1S5GxGIxDscugkHB7latrpX5SqVyVCotsViAzc01QqEF\nfL47DA0dY2DgGE1NDtbXF2pkOYIcIYdKVbvos1pbyGaLJJMhpFIpSqXQO+b3R1lcnCebTdHdPYBe\nb2rYJwVCXo3RaC0/X/vb1mh0uN3hB9r8W9lJfT9Cgj+U/L09vN1w3/dqmPTNb34TkUjE5z73Oa5e\nvQpsRX3sRGRgZ5IDOzv0iUSiqhS9UX9UI1nhThWyUqmE3+8nk1GiVKqr4xmNVsbHjzMx8VE2N524\n3ZtcvnwWv7920yGbzeLzeWhvb+yytro6R2trd12weOVvXa41+vtH6O0d5eTJTzM8fBivd5NXX/0J\nV66cw+lcor9/V9kivf6zmJu7gcXSXu3dlMuVHDr0FAMDe7ly5SwzM1Nksxk8nlWGhh4mlark3m2N\nIRaLOXjwcVQqNT/72Q/o7h66ryzLam2ir28P16+f33GxX4HZbMNqbSMQ8JDN3t9ZMBoNYzZbGRjY\nw9mzL1VNie6FIAnsRq83kc1m6erq4/HHP4nDsYv5+WlOnfr/uHDhFXp6hM/t3p6yxcVpRCJlORNr\nC8VikVu3LjI0dIBcLsvS0i0uXvw5p059h/n52+zbd5Qnn/w0w8MHUCrVLC/fLIfzCnN4RZq6vr6A\nRKLg1VdfxO2+y969Exw48DSJRAyHo16Z4XItNZT7CQ5+7h2lpH7/Jk1NbdVqS4UkpFIp1tedqNU6\ndLp62SQI5l9qtbauqlosFhGLk1gs988TeydoZP7wXlExRtNoNOTzeWKxWI0p0js5l+985zscP378\nPRlRVDAwMEA+n2dhYWu9NzU1xZ49e+7zV/908U+ih+r9glqtrjaev5fFRIWlJxIJSqXS2wrjfdBw\nuyPI5VtyP693A51OX7fblUolKRREBIMrGAwd5T4oOfF4HLVaW/0c9PomstkUqVQOqVSOXK6kqamD\nwcExnM5Z1tdXiccj6HQmLBYH+XyS9fW7hMOrdHSME42GasiN2dxJILBS/X84HMRstqJSaWhpGWRp\naarmPEslSCTyyGSQzSarTjYikZiurhECgdWayoHP58ZqbSMW23J6q4QJRqMhCoWK7M9UngwkpNNh\nQI5SqaNYFKFU2nA63TXj2mzNNZWorfMrYbHYy6GvVCtSra0dhMOBqpGAWCwum1E4EYlEjI4epr19\niNOnf8Ty8iw6nY7u7l3MzV0DhBubcCMv4fevIJXqiceFXe3tkqxCoUg+n2Nzc5murj6USiUajVC+\nTyTieL2b5PPF6sKgVCpx7dptSqUchYIUq3VLkxyPe5BKpZjNbTgcPYRCN0gm00AbPt86crkeqVRK\noZCrhvo2NQ2QyURYX7+FVmtBpdqaaPJ5QYKn1RoQicSIROKyE6SEfD5DJlNAKpXX6OErsFi6KJWS\nZLOparDuduh0dtbWZpic/DEmk5XR0WcxGITdP5OpGZEoj8+3JQsMBn1otWZKpdosLJVKjVZrJBDY\nkgUplRqKRQlrawt0dPQRj8cxGq0NK5Rb59uE17tdWiR8R8ICSkk4HG74d+8U9xKe9xIS/HbG/xCN\n8XbDfd+LYVI2m+Uv//Iv+fa3v82hQ4eqAb+VTZqdLM3vZ3d+P9leBfeSi/vJCitOgI2qVvPz6yiV\nlhoSIRDBHGazFY1Gz3PP/Q56vZlr187x2ms/ZW7uNul0mvX1RUym5oZyv3w+z/r6KtsDYbdjefk2\nZnNHTXZgS4uDw4c/xtGjz7O2tkQwGOfq1bOsrc3Xbb5Go2FWV5fZs2ffvUPT2TnI0aMfJxj084Mf\n/L/Y7a1YLNayLK5UlcVV1p9isRirtR2dzsjq6gKJRGMiXSHIiYSw4Xbt2nkikZ0jF3K5HKGQhxMn\nPs61a2/i9dZv9lUwOztFX99uxseP0dXVy4ULL+Nyrd7znkN4vWsMDe2nWCxQKOSrxNrh6OOxxz6O\nwWBFrbaztHSTN9/8ETduvM7t2xdZXp7B59vgzp1rDA/vI5tNk0zGCYd9uFxLnD37IzY315ifv8KZ\nMy/i9W7Q3NxDZ+cAo6MT7Nr1cPUaEaTgs/T1CZboghwzz+3bV1hZmScWczE2doCJiWex2VrZ3FxC\nr7fWmU5sOTx21X0ePt8GKpWuoatwMhknmUxis21VTSu9rHK5HI9nFaPRXkeeKxDc/ep7rxKJKM3N\nxnctzbsXjcwfHiQq84parSabzRKPx3eM8Wh0LoFAgO985zv8x//4Hx/I+Wg0Gl544QW+8pWvkEwm\neeutt/jZz37GZz7zmQcy/geNxl6M/4dAo9FUCRW88wpVZZLK5/PIZDLUavWOO1Hvt+nF5mYEk2lX\n+bxKZXvP9ppjKlKhWCyOSFTAbG6rlq/j8XCN/bmwK6kiEvGj1fZUHzcYzOzevZ87d67i9Xrp6xP0\n3nZ7L7OzZ9i16xEkEhnxeKyGUNntfUxNvUSxeJBkMg6Iqrs9w8OH+dnP/ox4PIZGI0iastks0WiQ\nlpYe4vFgzU3QZGpGoZCwseHE4egr74q6aW3tIx73odNtScms1naCQR+VzWKt1oTbPY9WayEYXCWX\nK2GxtBKLLWMyWYlGfczMXGdkZD8AUqkEg8GKx7NBW1t32akxRz5fwGZrxumcre7eCuGVQu+Xx7NG\nZ2df2Sq3i/n5KTo6hhCJRBw8+Chzc5OEwxucPr1MW1sfGxur9PeHkEgkbG4us7Bwk9bWHo4efYaz\nZ19icvINHnpoAolEWu3nWl9fRCZTlz/nUrXhtFRSsLw8g05nIp1OoVAo8HjW8XqjdHYeZmHhMqOj\njwOQzcaJx2O0tAySSETJ5ZzodGq6uj5GqSQpa/WH0GgkyOVb14fQo+bg1q3TDA/vr7kei8U02WwW\nvX5LipFOJ4A8SqWOVCqOXm+uRgZsN2cxmTqJRl309e1mYWGG0dHaxU0mk2du7ix6fR8PP/zRmkWg\nXm8jFArjdm9UJUFer4vOziFWVy/WkY2mph5mZl6r/l9o0s1TLAY5duxpSqUSZrOd6ekL7Nq1D7lc\nRoUwVdDc3Mr16+dpBL8/ysLC4gPdnbwXlZBgpVJJJpMhGo0ilUqrvZpvFx8SqgeLimHSb/zGbwDv\nzDBJLpdz8+ZN5HI5uVyO+fn5mu+nUZ8T1JpNbMf9wn2LxSKFQqGhxHMn0lTpPbo3e1Awk/Dj9aZp\nbraSyaSRSIQe10wmg0wmx+tdR6nUYre3Yre3MjS0D49njdXVu5w+/RM2N9cZHT1cNrqplR+urs5h\nMNjqeipAWNwtL8+xf/9TDT/TQqGAUmnk05/+XVZXF1levsvi4iwdHV10dw+jVKqZnr5Ad/cI+XyO\nc+deYm5ulVAoQy6XJx53Y7E4yOUybGy4mZn5B1577SzNzXaMRgUjIwexWNqQyYQFeKGQZ3b2Bk89\n9Zv4/T7eeuuXHDp0vJqrJ3wvwmcciwlurydOfJLNzVUuXnyNw4efQK+vN8SZm7uNxWKnv38ErdbI\ntWtn2bv3kToJpNfrJhYLceCAcJ/v6xtFr7dw/fqb+P1edu8eRywWc+vWJL29u5HJFNVrpCKjB2Fd\nEIkEefbZT6NSqcsEzE0sFmRlZY7FxZvkciUuXnwZqVSCWCxBJlMik8lxOucZHT1OV1cvRqMFsVhE\nNpvmzp1LPPLIs/d8t7Oo1SYsFjvFYoGFhRlWV2/jdi8xMnKEgwcfqzl+fX2hoSzU7XZiNNoaBjpv\nbt5f7mextDR0xBTMnfyMjR2pkmdhg1dWXT95vZuMjx+rGzeZDDM62tjk4p2ikfnD+wWhh12oVqXT\n6eraonJvuZ8RxZe+9KX3ZERxL775zW/yr/7Vv8Jut2O1WvnWt77F8PDwAxv/g8Q/G0L1Ti7QyoK/\nWCwik8nQaDS/1sVIxVHp5s1/IJMR3s/S0iJ79z5CIOBDrxfc7UQiEclklmQyjNncXqMFjsej2Gxb\nP/xAYA21WksuVyIer23uVak09PbuYnNzneXlOQYH9yCRaInFXJhMDsJhPxqNrsahTanUoVRqCAY3\nSCRSNbpnjcaAxdLCrVuX2Lv3GBKJuGyQocdkshIOu7DbayUgTU3drKzM4nD04fN5UCpV2Gw2PJ4l\nWrb5cLS19TM9fQG7vZVkMkgmEyOdDqBWt+Ny3aW5+WH8/nkyGSuJhAexWM3NmzeqhAoq7n0btLR0\nkk4Xyr1YivKiVUYg4MFotFYXPc3NHfj9mzgc/RQKBQwGM9FoiHw+i05noLOzm9nZK4yNPUIiEcXp\nnCUcDvE3f/MXOBz9mEzNHDhwomrGcfTo07zxxj9y9+4U3d27yg3SUpzOWbq6hiiVihQKonI/hPBv\nKOSlt3cEkUhEIpHg1Kkfk0jk0Gh6EIsvVitUiYQQeqvVWlhaOkVf3x5yuRhqtYVMJk9PzwihUAav\ndwWNRkUul62aXGQyOcTiHHDv5JUllcrS2bm1eFxdnaatbZBw2MXm5jJ79hxGqVSSz+dqiFU+n0ci\nUWC3WwkGg2xsrNLW1ll2jrxKIrGJQqGhubmnbtLU6ZqRSGZJpxMkkzFkMjmRSID+/l14vVMkEmFk\nsq1FYHNzJ9evJ0kmo9XsNpcryNhYe3VibW/vYGrqPLFYtFqFFAh0hQBaSKczJBKx6j0gm81w+fKb\nZe1848b6d4pfRXgqWvgKsYrFYlUp47sxwfmQXNUjEolw8eJFHn30UaRSKX/3d3/Hm2++yTe+8Y26\nYz/72c/y+c9/nt/+7d+mubn5HRsmVTZpKiYviUSiukhptGlXMZtoFLC+U7jv9p6qirxnex9EI9J0\nPydAwY3NhUrVglKpolQqks3mSKVSiETC5tTS0izt7bUVpqamDpqaOvD5NnnttR+Ty2V55ZV/wGi0\nYre30tTUhl6vx+m8y/DwwYaf19LSbfR6e42B0XYIhgrjyGRyHI5+BgdHCQZ9zMxc4dy5b7C8vEg4\nHMRqHcTlWkOt7ga0KBQapFIN0IPTGWFzcxKDoROL5SH8fi1+fwGJJM716+fQaHI4HE0MDnbg83mw\n21uxWluwWoXP48KF0zz88ES1z7di8jQzM0V//2g517CPUqnIhQuv1JGqdDrFysocx459FICWlg7E\n4gkmJ99k794JWlq2yMLMzA0GBsZqyLXd3sajjz7H5OTrnD37Eu3tfWXS9WT1XO5VDdy+fQmHY0+1\nYqjXm9Drhft6PB4mmYwwMfEsMpmgOJDLhb7mmZnLyOVqxsdrv6+5uevYbJ11ZHFp6SYDAwdYWrrL\n/Px1xOJSWWKYZO/ewzXHptNJQiE/+/efrPueXa7lupiYCvz+TfbvP9HwOa93nZaWeoImxNwkyjL8\nJsRiUXUjPZfLIZfLSSTi5POlOgk7QKmUeGAbao3MH95PVF5LKpVWzdUqroiVjLLt53Lt2jV8Pl+1\nRedBwWQy8eMf//iBjvnrwv/xhGq7KcX9KkgV6/PtROqd7BS8nxUqt9sDqBkfH8dgsJFIRMnnf4jB\nYOD8+Z9iNrczNnYErVZHLJYkkfDS0lJbVUgkYvT1bVUgvN4l7PY+cjk/kcgssVgAvX6r8hOLRRgc\nHCOXS3Hz5hVSqRUcjofweJbI5yV1Vu0AVmsXPp+TdFpCd7eww1CxZu3sHGFm5gaFwmEUCg1+vweb\nrRmNRoXPV18BaG3tZ3r6CplMGq93E7u9BYPBwtLS5bJrlRCyarf3ks3+gnQ6zMbGLVQqM8VilI2N\n64RC6wwNPUEyqSGflxMMLqDX9+F0bpDP55FKpWVpn5XZWcE4QqFQ1MgUTKZmXK4VjEZreeEKra0d\nnDt3u7yQEKFSqWhp6cLrXUOvNyKRSGlu7sbpnGHPnkM0NXWwd+8xXn31RSYmnqpOWBUolSoOH36S\n8+dfxmAwYbG04HavE4/H6ezsQiQSl9+zQKwymRTRaITmZiG8UCqVcvv2XQyGdjY376LXt1ediiKR\ndUCGy3ULlUpFR8chbt/+IWq1Ga93Cru9i2RyE6OxmXRaxMLCbQwGK01NLXg8yxgMVlKpMNlsuiov\nLRSSFAql6qQZj4cJBpcZH3+BUuka6+vXMRg+SiV8VyotVYnV5uYqdns/4fAmfX37uHnzC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4naOje4Aab74pgCrBuyuJ2WylXq815NizDAw8gde7gEwmoVKpcePG35HJrKBUqhvAxkel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\nomZiQ0VERERERNRM/w9UsaLhw5XK0AAAAABJRU5ErkJggg==\n",
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dxXA4DEVReAFkGGZXQz0/ZPWj/id5pAZVrpwih1wSAMT9Un6NKlCEc+YU/butra3Cviff\naxsVVuS+iEajFeIlk8k0lCjoRFGUqvNqVPA516Baw4YNwxDD6Ul4sbBidjssqJiWg6ojcmoQfRwo\n36Tr2fqanQYvH/9ZqcAoioJwOIxgMCganGU7IM0VocQq+keeacVeeIZhdiM06NYtBp3+Ta/RXCX5\na0lMkS3a7bVaOEXOdtn3aokXACK0qZm1cTtthfKwYaewUhRFrDXPupuE2d2woGJahnq2PloY6KHf\naeujhle+ETcH7RJqmibee1p8C4VCxeJG6YlyHxsNj+T3nmGY3QJVXIDq/icZt+Q+skID1SEVsg3Q\n6/WKXqxGcLPIyfY9v9/fsLAi8ZLJZERCoa7rWxrou5mtsNHzcp5bPp+vqKaRsJIrVrymMLsJFlTM\nE0dO66MqkdsQXvpc4lm09e0U9eyARLFYrLADApWWSxJWbNtgGKZVoQf4WlHnsgByCia5AuVm9ZNf\nk++dbpY/N6ElV5kofdCyLGQyGSFgGq0ykWOjUChAURRhYUyn01BVFaFQqOGBvvVshdlsVgirRsWj\nx+MRG3nUp0XHo55eElUsrJjdAgsq5olAtj6qiADlHT3nAuU2hJcWnN1wk5UFBy0izfjZnwRkBwyF\nQmIXkURtIpGosAPKIRayHZBnjjAM02pQpaZWDLq8eQegSnDQpp8zWdbNBkiVKnJVFAqFiv6jeuuA\nm32vVCpB13UoiiLEUKP3V0VREI1GhXgxTROpVAo+nw/BYLApYeVmKyTBJw+Qb/R4FJgkn5uu6xXj\nP1hYMbsBFlTMY4WSk2jwbDNDeGnWlDNRqRWRF0vZU5/JZMR/y9W2VoQEoGmaYpdT7m1TVVXYN2Rh\nRRVHtgMyDNNK0EM7AJFcKkOR6W7QhhFQHVJRzwZIr1GyKtntGtlYq2WRoypTo/Y9cn5Q75M80LdY\nLDY90Nd5XlRhkkVkMz3J9c6NhBWlAvJ6wrQqLKiYxwKJJNnW5xzCWy+tj4YEtvqNlK5T3uWkXT1F\nUSr6w3Rdr6j2tCr0nmuaBp/PVzEsmHz1ZN9gOyDDMK2IbPUD3If01gqUkCtQfr+/4j5WywZIx6b7\nPdn4qDpWKpXEJuFmuFnkyL5Xr8rktl5uNtA3EAg0JazovPL5PAzDAFC2h6fT6ab7tdzOTRZ9dG4s\nrJhWpHWf4phdD1Wb6OZv23bVQ3UtAeJM65NfbzVqVdWIUCgkrknTNCSTSbGo00JGDbnNNPg+Cchu\nIg8LpvkiznRAtgMyDNMK0ABf2epXSxRRJZ4+7vF4RLADpZvK1LMBEj6fT0SRG4Yh1sNkMtl0RPp2\nVZnkgb7UM0v/aJqGYDDY8AYYCSvLskQFsBHB18y5yaJP0zQWVkzLwYKK2XbI1pfP54VwaMTWR9PT\nd8sNslZVja6BKmrytcj/H4lEhA2Edk+d1Z5mz2cnqNU8TedpmqZY2GsJRBJW9LtBFUr2xTMMs9NQ\nvw9QHXUOVKbzaZomKi3AxqYfveZM9atlA3SuCbZtQ1VVhMNhJJNJ8TlbiSKXKzkkrOje26ywop5Z\nqgrR2i3PnWpGWAEb79OjCL7Nzk0WVj6fjzfpmCcOCypm26Ddt2KxKAImnPM7agkQuiHuBhqZgdVI\nfxQtilTtcc6CogWjWTvgTi0qbseVr5tCRpwCkWwkshWGqlbUyMyx9wzD7ASWZUHX9Yasfs6h5nLF\nxZkoW88GaFlWRXy629pGVZhHiSLfzL7XrHihTb5mB/rK7wlQvsfXOq+tCivnudFaQ/3VbW1toqrG\n6wjzJGBBxTwS9GBMN0xaYCKRiPicRm19rUy9sIxHFQO1qj20YFCMbKu/V7IdkIYFk+Uzl8vB7/cL\ngUhVK2qyjkQi8Pv9bAdkGGbbIKsfDYh3Ch8A4jW5ckWCijb/qA/W+XVuNkDq9yWcPVWyU6ORKPJG\nhZVbJYdoJgCJBvrK9sRmq2j0Op1XMBh0FXzN2Aqd50bCiq6NxBVVrJzuEIbZaVhQMVuCqjSyrc+5\ne0eJcPLN/FFtfY87cpwEo3zjBnZmBpaz2iPPgtJ1vWIIbysvFHIC1GZ2QIIGBrMdkGGY7YKECgDX\n/ifZsud2X62X6lfLBuhcK2jNImHmjE3fLIq8mdlTbpUcOt9sNttwrxZQXuNI7DmraM2uQ7UE31Zs\nhXRubW1tIvwCKAvcYrEoEgFlKyDDPA5YUDFNQbYu2tWjh1+gUuwYhrGttr7H/WBdz9ZHVZSdhLzj\ncviDZVkwDKPCRtfKQ40bsQPKDxVuIRaysGJxxTBMo5DVjxwFbj1OtSx7Mm5Wv1o2QBoZQa85Zyg6\nkaPFa0Wk67reVEQ6sCE4crmc6AejKlMzIRh0Hc4qWi174mYbnrVshfJ5NbO2ktCkSiFZ5qnHioUV\n8zhhQcVsClkfqFrinB0FVO7Y0dfsNlsf4G5PpJ3NJ1Ex8Xq9YvAhLT5ksaSZJjsduy6Lnq1Syw5I\nZDIZkQQlCyuabUJWDu6zYhhmM2zbhmEYda1+cjpfPaFSy+rntAHKAo0G0ZJlkO5ljawhzijybDYr\nEvNUVRVDfRuBxB71cW3Fvkfn1EgVTf78erhZ95rt15K/l23biEQiQlBRRY6OR+/949gMZZ5dWFAx\nNaHdNqqO0EOtvBvlZocDIKonu+nhlxYJgmx9rdDTQwuabKMji0OxWGzpSpWM0w5Idg36b0VRRBiH\nMx2QhC7bARmGqQfZ1GoJpnrpfJZliXXAeZ+RNw6dXycnBfr9/gqrH20gUYS4fF+rdR+rNXsqlUo1\nHUXu9XqFRW6zKlM95Ps3CSuqom1lzqBs3SPh2Kzgo/eZYuudos8wDGEzl636LKyY7YYFFVMBJRvJ\ntj7nfA3LsoSQcg7hpUVqN4gpekgnaBFt9dRBVVXFbpw8pZ4gr3yrnj+wYQekBwtN01AoFMRCL6cc\nklhkOyDDMJvhtPo5H8o3G9IrB0rU+jo3q58zKZDWE6pOAaiykTfSE7wds6fkitp29GrVsifSdbrN\nY6wHOUCKxSLW1tZgGAaWl5fF80h7ezsCgYAQf/J1OR0UznOj9TGTyVQJK96YY7YTFlQMgEpbnxz3\n6rY7V88Op+v6Yz/3ZnG7DqB8U2/1wboysh2wUCggk8kAQEWq3k7bAbeLYDCIUCjkmg4o2xrZDsgw\nTD0o9ACoFj5A7XQ+oDpQwu21Wol/gPuMKyIYDFYJNsMwEAqFGnIYbBaR7paYV2vURb0qE1kKGxVW\nchWNAkDI1bJZFc22baRSKTx8OIps1sbiYhqFggeWpSKft5DL5XH37g2cOPE8wmENimIiGFQwMNCB\n/v4OdHZ21rxWN+skCStKziUbIAsrZjto/SctZkeRbX20i+Ucwutm69uNQ3hrDROm/99NvV4ytMCT\noKJm6FpDdlsVWujl+HinrbGeHbBYLEJVVbZzMMwzSiaTQTqdFoLJKXzqpfPJgRLktqDqh/xaveG+\n8mvy58iz9gKBAJLJpLhvJZPJpiLEtysxr1aViXq1mgnBoCoaPSsAqFtFMwwDs7PzuHdvHiMj00in\nvXj++VcQjR6CqtL3tHHp0gfo7T2M/v7j4tq9XmBqKoORkXkkEl8gFlNw9uzzaG9vrykg3ayTFPbB\nworZLlhQPYPIkeayrc85mJCqOK00hLfZ2PRGhglnMpnHHse+k7S1tdVM1aOFpZmf33aEUjR77Fq2\nRrIDUvWtlh2Qdp/ZDsgwzwa2bQsxBbhb/RoZ0ksP1rT2yV9Hr7l9ndM+KDsg5M0sqqibpim+z1YE\nESXm0X3RmZgXDAYbet9qCY50Ot10rxZdYygUEkOR5YG+uVwOo6MzGB9PAehGIDCEmZlv8dprP0E0\n2lFxLF1PYmlpBj/4wf8Gr1cRI1gsC/D7wwgEwrh69UscOHAcn346gsnJJZw6dQhdXV01z81pnSRh\nRS4ISgVkYcVsBRZUzxB08zcMA5ZlVQ1RJb9yK6XcEc1+33qx57u1EtUMcqqeLKyy2WxFf9KTsAOS\noG/U5iLbGilpUk451DStQjzR77Gu67Bte1dU5xiGeTTkMQxkAZaplc4H1A+UME1TWP00Tav4ulpJ\ngTRTj6A5ewTdi0g8PUrSnaIoNRPznNdZj+3q1aLrpWvIZrOYnJzE7dvjSCRUhEJD6O09BEVR8N13\nX6G39wDi8c6qY92/fw2Dg0cQCJSFIVkUSVjdvHkJbW3dGBw8CK/XC13P48MPb+PAgTacOnUUoVDI\n9Rxl66TbdVLcOrkdeN1gGoUF1TOAbOujyoW8OGw2vLaZlLtkMompqXmoqopSKYezZ88+tmpWLVsf\nWT+exZujvPsoD9klQUKWh50WmbZtY2FhAaOjcxgdncXk5CQGBgbQ3d2G4eF+xGKxuov1ZnZA59Bj\nj8cjXvd4PGIDge2ADPP0Qal+hPNvvF46n1ugBK0fcgWqntXPeUwSWkQ9B8R2JN3VOg6du2VZdRMF\nZer1ajUqrIh8Po87d0bx299+hY6OExgaOgyPx7P+s7IwOXkPb775p1VfVyjkMDs7gXfe+VcVH6ek\nW11PYWZmFOfP/1BcXzgcQ1tbO6an5zE1dREvv3wIg4ODNa95s+skBwQLK6ZRWFA9pZC4yOfzwu7m\n3LVzq+IAW7f13b8/gkuXJqCq3VBVH27fvoGLF2/i3/ybP0ZPT8+2XJcbmwnCJxEp3uigw8eFXJ2j\nwAeq9ui6XiVItpN0Oo3Ll29hYcEDy9LwzTcP8dxz38Pg4GEsLMziiy8mMTeXwNmzJxGJRDY9ntMO\nWGvosbxb6vF4KuyAzuoswzC7E9u2kclkqkKG5NdrpfMBEK/JgRLO+7dz7dzM6lfrXAi39YFcIKZp\nwjCMLUeby4l55EaxbRvJZLKp41CvVjAYbDgEg7AsC2Nj47h2bQpTUxmUSlGcOPGi2Nw1TRMjI98h\nGOyApgUB2AA2zml09Ca6uwcQCrmvB5OT9zAwcADt7Z3ivTYMA6qqoqOjF6bZjo8/voN4/Dv80R/9\nQd1eMLeeNPk6KWmWhRWzGbxV+5RBN/p0Oo10Oi1278muJ1sZyHcNlG8qmqYhHA433WMDAKOjY7h+\nfQnd3cfR2dmHnp4BvP32v4Ku9+C//td/xPj4+HZfqnigzmQy4qGa7By087Rb5jM9ThRFQTgcRjwe\nRygUEhG/hmFgbW0NmUymosL3KKLw/ff/Gf/wDx8jne5BT88R3Lt3FUeOvIBDh45BUVS0tbWjt/co\nksl2/PM/X8bKykrDxyY7YCwWQyQSEQ9D+XweyWSyYpdZDluRK7bOHkGGYXYXVM0BNipT8t90vXQ+\n2epXK1DC+RpQOymwltBy3mNqbbjRxlc0GkUkEoGiKCLaPJlMiu+7GXSt8gYVHSeVSjV8HGBDcMRi\nMfH+5fN5JBIJIdjk69d1HRcuXMPFi2toazuF5eV5HDv2EjweDxRFEYmus7MPsW/fEeTzeei6jkIh\nj7KwAqam7mP//udcz8eyLExNPcDhwyfEe0/vp2ma6+uXjZmZZYyMpPDxxxfFvMN6UE+a8zpTqVSF\noCyVSrxmMK6woHpKoP6YVColvORylDSFM8iRrQBEmk8zMyicpNNpXLs2hZ6eo1CUjaKn1+vB66+/\nBb//AP7iL36HmZmZR75OAKLC4iYIQ6FQ1Y4h4w5VpWoJEhLkWwmlsCwLf/mXf4NPP51Ce/tpxOPd\nuHfvKoLBKI4cOVH1+e3t3SiVuvHTn/686d8TeniIRqOIRqMVVlYAYs4KPVTJASz0N1EvLplhmNaE\nHqBp04QesBtJ59tsHhXhfK1eUmA9oUXBQI3cZ+R7WjgcFpteuq43JYhkgUjHoYj0VCpVFdZUDxIc\n0WhUXFsul0MymRQzrcbHJ/DRR7eRTg9gz57jmJ+fgN8fRl/f3opjLS9PIxAIY//+g1AURfwsdF3H\n7Ow4bNuD3t49rucxNzcGTQuio6O7ooIYDofFec3NTWNlZQrHjr2MbLYDH3xwGaurq490nel0GoZh\nVPQks7BiZPipcxdDVjdd15FOp5HL5eDxeCrsTM4qjnwDkKs4Wy1jW5aFL764BlXdI8WdArTT5PV6\n8MorZ+HxDOEv/uJXSKVSW75W+jf5w4HtEYTPOk5BQrtzxWIR6XS6YkBlo7z33q8xNlbCW2/9CTo7\nu5DLGZhxXyWAAAAgAElEQVSYuIdTp86Kz5GFWiKxjKtXf49IZAiXLt3b8u+Jqqqi+ibvAhuGgUQi\nUVF9k6tWctAFL5QM0/o4rX6ys2KzdD6gdqAEgIpAiVpWP6d90E1o0T2IbG4kQOTqeT2odzQWiyEU\nCsHj8QhBRBtejVDrOLKTpVGoVysajUJVVdi2jbW1Nfzn//z/4LPP5hGPn0I83g2gbN0bHj5ZdYyJ\nifsYGDgMRVFFeBIFd4yO3kJHx56a5zQ+fgdDQ0cAVK4htEEYDocxNnYXBw48B9u2oaoaPJ5efPDB\nNczPzzd9nW1tbeI6c7kcUqkU1tbWsLi4KJwxvF4wAPdQ7UooQYj+mIHKIbz1whl8Pp9YELajirO8\nvIzLl+/Btsfx4otvQ9PCIDFF+Hw+HDjQiY8/vo//9t/+X/z7f//vqtKS6l3rdvZ5PQnkcARN01r6\n5usWV07nq+u66E+q977fu3cP16/P4OzZP0QgEFj/2DX09u5DW1u06vOLxQKuXPkYR4+ewfDwUSST\nq/jyyxt4991XGp6D4oT+HmzbRjAYFMmVtcI45JlWhUJB2FM4PpdhWhNKaAM2BJO8+VMvna9eoISz\nB0p+rZZ9cLM+LTov6pGi4xeLxYbS/LYabe60Fm5nRLqqqohGo5ibm8N7713A6KiFd989Ja5xdXUe\npmli7979FV9nGBmMjd3D4cMhXLr0IQxDRz5voFQqi847d27g6NHnkUgsIhLpQHd3H/r79yIUCsMw\ndKytreDll99xvU4ASCRWUCymcPToO7CsEkzThM+noVTqwQcfXMe77z6PPXvcq19u0LMG9aTJz1Tk\nfKC5nLvheYTZOVhQ7SIoZEK2FTh3zzYLZ5Bv/NvBvXvjOHPmdSwvL+GLL36NY8fOoa9vULxumiau\nXv0YKyuLiMV8+OijUayu/t/48z//d3WDKkgQujX3hsPhln/Ild9/2u2k6hpB0azbwXaLNDmuPJFI\nVOz45nI5ES/rFBymaeL99z9HR8cRdHSU54EUCgVMT4/grbf+2PV73bp1GfF4N4aHjwIAYrEOLCyk\ncOvWXZw5c+qRr4WSqWRBJYdxUOMxLYbOmVZyM3Kr/94xzLMAzdaj+ywJJllA1Ern28zqR6/JmyxA\nfftgvT4tgizpZFO0LAumaTYVFrEd0ebbdRzbtvHgwSiuXp3H6GgCL730tljPCoUC7ty5gr6+g+up\nfjomJ8ewuDiByck7yOezUBQD7e2dCIf3IxAIwe/XMD8/hVDIj9OnzyORWEEyuYrR0av45ptP0NbW\nBcvyIB7vrrJ2yu/bw4d3MDR0UPxOlJ+bcggEQvB49uK3v72Cd989jX379jV1P6fetlwuJ9Zx6q2i\nGVYk7FlYPZuwoGpxqEIjVzmc6WT1Zi7t5B93IpHA3FwGfX1DiMc7EYvF8dVXn8DjeR1DQ4dgWRYu\nX/4QgAd/8Ad/htXVVVy7toT797/Ef/pPP8N/+A//Fh0dG8P8alXWaPeHdiO3+6HWuXA+Cm5CkGLb\nVVUVqYtAubenUCiISe3bcV078d7Q+xMOh8XvIv2jKErFnKff/vafMTdXwh/+4UviGJOTd9He3odI\npLI6VW5gTmFxcQp/9Ef/R8Vr3d1DuHv3DgYGltDd3b0t10KLXTAYRKFQELuLbrO55OvmdECGaR0o\n+MCtj8n5dykn9xG1+pyAShsgfa/N7IP1hBYJPlqP6d+apiGbzQpbPvV5Nmpdd5ultJVo861GpBeL\nRVy9egtjYzby+RBCoRj27z8kZv8Vi3ksLs6ho2MQH330v5DJLKKvbwAHDw4DyGBw8DkcOHC46riL\ni9MYHDyM3t496O3tR6FQRKFQtmEvLc3gww9/gba2dmiahqNHT8PvDzh+fjksLk7g3Xc3otjLMxnD\nKJXM9U3l/fj442/w+usFDA0NNZVsSy0V9N4BEIFOZDmk5y4WVs8e/NNuUchyRSETNAhVDpmgeRVb\nDWd4VAExMTEDn69D3Iy6u/tw5swr+Pbbz5BILOP+/RswTRNnz74JVVXR2dmJtjYbw8NnMTFRwN/8\nzW/E4lYoFERELIkpn88n/NWtnNZHPwvDMCr6u4hQKCSqhG1tbRU/E+pTSqVSVT1urQbZAWOxmLCp\n0E5xIpHA1NQUrl+fxtGjL1UsUBMT97B//xHXY969ewWDg4fXo3M38Hq9iEYHcfnynQpx3Qy1wjTq\nhXGkUqmKpm95A0O22jbTzM0wzPYhW/3cBJOM0+pXL1CiVCrV7MeSK1DyMesJLTlB1LlhRsemns+t\nhkWQIIrH4+K8CoUCkslkRQWvkeNQkt9mx9F1HR9/fBWTk0H09x/H6Oh3OHLkRfF6eejuRSSTa5ic\nvIHu7jhef/3HOHHiPOLxbqRSqSobIL1fS0uzGBo6sP6RjaTCYDCISCSOnp49+MEP/iW8XhOfffYe\nrl79AtnsxvyxsbH76OrqQSBQPdSX+rXa2ztRKETw93//KywsLCCZTDa19tJ7oSgKYrFYRWiIYRjQ\ndb2i6sfrxLMDV6haDLqpUty52/wLqkbJf6iNzlzarp110zQxNraAeLzyQbm3tx+HD5/CV1/9BoAX\nb7zxY7HIKIqCvr4wZmdXoGlR3Lih4+OPL+D1189VnB95llu9ClDrZ0E7VLK9T4auKxKJiMRCEiaG\nYQiPe6vubpV3/MpClyx0hmHg17++gMXFDA4e1PD1159gbW0eyeQSpqbGoaoqUqkkhocPw+8vL9i6\nnsTq6hKef/686/cJh6OYn1/G6Og4Dh8+uO3XQfYcv99fczZXLTtgoVCAruvigYjtgAyz87hZ/dwq\nQgCqelpk8eNcK+XXaAg8CS9ygLh9v3pCy2mtl9cI+RiapsHv9yOfzyObzYqwCKqmN9JH6jZLie7N\nzu9dD0rLcztOIBDA3NwcbtyYgaoeRG9vNxYWJmBZXuzZMwQAmJubxN27V7G4+BAvvvgmXnjhFVFl\nsqwSxsfvIhLpgNdbfa9cWppBOBx1mT3lgd+vYW1tAf39+xAKhXDkyGns338E9+59iwsXfonjx8/h\n2LFTmJkZwcmTL9S5wnJv7MzMCPr6DuPrr2/i1VfPCKdCI9ZL53xDt59fJpMRfboktLkf9+mHBVUL\nQA/mlDBGYRNy8389W9+TEB8rKysoFgOOZL8y+/cfwvXrnyMcjiMajVW81tfXA9t+iGQyj1JpDb/7\nnYljxw6hp6dHLHKtftNp5GfR6O4iTWQnCxrF3zstaK0INTivra3hv//3X2BkZAF+fxCXL/8OQ0PD\nOHXqRczMPMTBg8fQ17cHk5P38dFH3+HkyfMYHDyAsbHb6O8fEgLLjY6OAXz77X0MDe1tOMiEaCbu\nnR4kQqGQCOOQ7YD0c5IXxVwuJ3bI5c2PVv/9ZZjdCKX6yeLGuekkixjna3LV2dnn5GYDlGcbAc1Z\n/eTvVW8t2O6wCIr8JveKvEZls9mGAjBqHefatWt4770rOHfuzxCPl/tjHz78DgcOnEAyuYrvvruI\nRGIeQ0OH4PHkcfr0y6Aqk9/vQ6FQwOLiFHp798MwslBVBX6/JoTt3Nw4ursHap7T/Pwkjh17AZFI\nRLzvp069jMHBFdy8eQUTE/dhmpm6xwCA8fGH8Pk8OHnyJayszOHWrYf43vdONGy9dFtXav38aNON\nhdWzQWtugT8jWJYlYjhp102ekUNNq262vkAgIGx9T+KPc2xsFsFg3PU1XU8hGo0iEPBhbm4KwIYt\nTlEUHDq0B4cOPY90Oo2HDzP44osbYsFo1RsN9Xc5fxbUQ/QoPwva5YpGo2hraxMLupsFrdVIJBL4\nL//lnzAzE8bc3DgOHdqHH/7wX+PIkdNoa4tjdnYCvb0D6O7ux/nz7+J73zuPu3cv4vr1i5ieHl1f\nfGsf3+/XUCrFcOfOvcdyPbQwkh2QfhaFQkH8LOR0TbnXijZF2ObBMNtPoVAQVX83q588pNeJbPVz\niopaNkBnQl6tVD/nucjHo4/LYz/kYzuhsAiyVQPlKlgqlYKu6w3bn+XIbyKbzSKRSFQktzZynHA4\njImJGfzud7fQ3n4EmhaErutIJJaxuLiAVGoNX375S3R3d+Gtt/4EpllAb+9QxUxKwAPAA8NIYd++\nYQCAaZaETd6yLCwtzWFgYJ/reWQyKRiGjt7ePfB4vNC0ACKRCDweD+LxTrz66g+RSMxhbm4Ki4uz\nNa/Hti2MjNzEkSNnAACdnf1YXVUxMTHTcCy9nKzshH5+8XgcwWBQjOTQdV2MrmEr4NMLC6rHjNxv\nk0qlXGdH0R+aXLUANmYuUU/OVsWHc6FolmKxiJmZVbS1tbu+/vDhLezdexCnTp3Ft99+jmzWqLiJ\n9Pe3IxzW8Oqr/xrJ5DQ+/fQhlpeXG/7+j/NGRA/KVKlw/iy2UwhSlautra3Cy043ZPp9edw34loP\nAaZp4m//9leYmPAhk7mP48efx/nzP0AkEkEkEkE6vQav14dYLI58Pgdd1xGNduC11/4AY2M3sLS0\ngljMXZTL32Nqagy/+93nNS2U9c55q9AutvyzoMUxk8kgk8mI70OiihZYmjdTKBR4RgnDbAM01LaW\n1U8WOHLvk/M1N6tfvbhzwlkNk8VbLauf03JI9wW6Z8jn6GS7eqNkoUcpv4ZhNNw3VCwWcfHiN/jq\nq0UUiypeeOE1eL3l41y9+ilWVpaQzS7i7bf/GM899wK8Xi8WFqaxZ0+1MFpYmEQ83ou2tmjFZpVp\nmpieHodplhCNuq8Hc3MT6Orqh8ez8X56PBvhQKqqQtMC+N73zuOrr/4Zt27dgG1Xv0fT05NQVaC/\nfyOJuLd3H+7dW8HCwgLi8bgQVlQhTKVSFX3RjTgfagnjdDothBXZy3l9eHpgQfWYkPsudF1HoVAQ\nNiH6w6SKlbwLRQ925GtuhXCG1dVVWFbQdYemUMhhYWEaw8NH0dXVA00L49696wA2BENPTw80LYue\nnn04dOh7ePhwCe+9937d7/m4K1dyUIZckaCgjJ3+WZAFTd7pKpVKYkCtYRgNL6o7xZUrV3DpUhKF\nwgR6erpw5swr4jWPx4uFhUkcOHCkIlSknOBoIxqNIxDw4u7d7zb5Hr9HPp/D0NBpjI1Nbuk8H/V3\nR/5ZhEIhMYAS2Oh5pAVXDrEg+y4vnAyzdcjqRzYvt7AlOZ2P7jX091Yv0rzea/JDtCxMnJHszpAh\n+XjOtZ2qRPIojXrIYRF0fvl8fktrQDRaFjKKogh7WzKZrOl+MAwDn356FdPTYSQSCQwPnxZR6/fu\nfYMbNz7H6dMv4fTpN2FZHhSLRWQyaeRyBvr69lYdb2FhQtjxyAkQDofh8/mwuDiFWKwbmYy+Ljot\nx9dOV4xjIei00+kkIpEQjh17AefOvYWRkRu4dOkz5POVxxofrw5I8nq96Oo6gK+/foBUKoVAIFBV\nYUqlUkin02K2GX3dZrgJYxZWTy8sqHYY2dZHN0BZSDnT+pw38Sdp66vF7Owi/P62qo/bNjA9PSbm\nRJRKJRw//jwmJ0dQKhVEP5CiKOjvj8IwUjh48HuIRtvwm99cw+xs7VL944LSFWkBp91ETdMQDocf\ne1gEzYOKx+MIh8NilzGXyyGRSFQ8zD9ODMPAP/7j11hensO5c2fh9XowMFC54C0tzWHPniGoqg+h\nUBihUHnxLBRySCRW8cYbf4jZ2fuYnZ2Ccxg0ANy//w0yGR3nz7+Nnp5B3LkzKR5EngSyHZB2HYEN\nO6C86+scb1AsFkWV9kkLYYbZTZBDAEBFjxPhHNIrV6g2izSv9ZrzwVl+rZ7Vj47ntBXKFmE5AKPR\ncR3U0yQLK1oDDMNo+GHc7/cjGo1WJNOR+0EWVslkEh99dB3p9AA0LYxUKonDh08gkVjBp5/+Lywv\nj+DkyRdx5sz5imuanR1HV9eAa+jE8vJ81RpB7QvpdAL9/WURViyWN55JDBUKBayuLonXKymf7+zs\nJPr69iIYDKK3dwBvvvmHWFubwaVLnyGdTqNQyGNtbQW6voLBwUMu74uGQGAPLl78RoynqWW9pA3v\nZp7JaqUo0nMhC6unAxZUOwCJpEwmU2HrUxSlKoLZGRUuN77u1LybR7H8WZaFqalltLVtlOZtGygW\nTeTzOczMjIlyv6qq6OrqwdDQMEZGvqu4lq6uOEwziXi8D11dg0inQ/gf/+MfHvHKtga9D5RW59Yf\n9aRTB2v1WdFNOZ1OP9bz+eKLS7hzJ4FDhwYQj8fQ2bmnIlwimVxFqWSJ4b4AvZ9BJJPL6OrqRyzW\njlOnzuLmzYtYWFhAPp+DZZX/DgxDx4MHt/Dyy29BUVT4fH6USm2Ymppu6PyaCaRoFvpbBsoVS7cI\nedo8ke2AtNtJi2epVOLFk2HqQA/8tD46hYrbkF5nVQioDpSoF3fultBHyOJNFmHy19CmIVAdXEC9\nmXIVrZnYbhJW0WhUrAEkrLLZbNUx3O5/tJbEYjHXvqGbN2/h/fe/gcdzCB0dvXjw4Dr27TuG8fH7\n+PLLX2LfvgPo6urD4OAR+Hw+RCLh9fcCWFqaRE/PAAwji1JpY6NvdXURiuJDW1us6nwKhRx0PYmh\noWGEQuGK4cCZTAYzM6OIRjtcw4voesvzqw6I96i9vQtvv/0T5PNruHbtS2SzWdy58w16ewegqu7O\nkmi0HcmkH7dvb/TrulWY6Hs63USNQG4HZ8WRhdXTAQuqbYRuqnJDo9PWR/HMzgqIbOtrpWqUk7JF\nQIHP5xc7fLlcFqZZRDqdhGGk0dc3AFX1rXvIPThy5CRmZ8dhGBsP/W1tERjGDG7e/D0ymQQsK4dr\n13R8++23j+1aqD+Kbly0i7gT/VHbRa0+K7qx04PCdt6MneKkUCjgF7/4Eopi4a233sHCwmSVHWNu\nbhLd3Xtcjzc3N4l9+w5B0wLo7u7HwMBefPvt12IBzWazuHnzawwMHKhYgGOxHty5M9FSFR6PxyMW\n3FAo5FpBpN8xWVjR3w4vngzjDvX71LP61UvnowqVM9IcqB13DrgP96V/O8XbZseT/65JgFFvJkH2\nu2bCh+TQCVVVYdt206ETVHGX7W3Xr9/AX//1BwD2IRSKIpczMDs7hdXVJYyP38Brr/0Iw8MnsLAw\ni6GhYTrSepKfilQqgd7ePbCssj3dMDIolUqYnx9HV5dbhQmYn59Ce/tGym8wGEIotOHGmJ4eQyQS\nW/89kK+r/N+JxCo8HlskDxLBYAjf//4fw7bz+OabrzE/P4G+viHoegbFovNYZbq7B3Hr1jwmJiYq\nPi5XmIit9LQRbsI4n88jnU6LuPpCocCbbrsMFlTbgGzro8QatyG8zsGvtRLiHjU0YidZXV2DZQWQ\nzxfELjsAeL0KlpZm0NOzF6paGR0dCgUxMLAf9+7dEB8bHb2PpaXvoKoeHD16DuFwBNPTk/jLv/yN\n2DncKZz9UQRZLFulV20z5N4e2YK2031Wn3zyCSYmknjxxfOIx+NYXV3Bnj2VUbVLS9Po7a2OryX7\nxsDAoEj3O3bsRdh2FnNzMwCAtbXy7KrBweGKhS8QCELXFSwuLm56jjtZoXI7Pj2cuFUQnYObSVjR\nAxnbARmmmmKxKOxsbla/RtP5mrX6yRUo+Thu4q3e8WidIeQqWOX6GKoY7FsrXc4N2lyjqlezoRN0\nLpqmYWpqDh9/fB8dHc8hFIrAMAxcv/45UqkkNM3CG2/8KWKxTszNTSAcjiISiVYcZ25uHLFYN1TV\nJ55nyn2/GczMjKOrq9f1+y8uzlS9Vp51WB5jkUgso6dn73qwUaZKWM3NTaOvr9/12Krqw2uv/RCr\nq9NIp5OIxTpg2+XnNTdh5fV6sbaWx69+9YlrlVIW0Y/a01Y+v7IwjkajQhjLz5L5fJ7DjXYRLKi2\niNPWl81mN7X1OYMNWrECUgu6locPp+HzBYQ1i9J1NM2PpaVZ0Yzq/OM/fPgE5ubGkcsZGB8fwejo\nt3j33R+jp2cInZ1DOHr0VXR378GtW/P4+c9/uSPXQMJXrg7KFhFnKtNugQbQAht2tJ3qs7IsCz/9\n6c8Rj+/F8eP7sbg4hWi0HZoWFJ9TKBSQSKyir6+6QrWwMIV4vKvCvqGqKs6cOY/R0W+haRqmp0cw\nMDAMv9+/vvDpKBTysG0L4XAX7t0b35ZreRRqLW7OCmI9OyB9PtsBGaYSp9XPLdWv1pBeGdrYlL9O\ntubVsvo5K1CmabqKt3rHk/uw5O8BVA/2le13tdLlakFVLwqdoN4oejbZDEryu3BhBrmcFy+99Dr8\nfj+mp8dx4cKvMDz8HE6efF1c2+zsA/T1Hag6zvz8FHp69q5fUzlwwu/3o1gsIJFYQyTSJjacZdbW\nFtDT4+5myGTKA477+/vXw4AsSViVfx5LSzPo799f8/r8fj86OvqgaQqmp8fW78leIawymQxMswjA\nRjabwcTEPYTDe/Htt7erjiX31blZL5PJpKv1cjNUVRWbcXLFkZ4ts9nsliyGzOOlNSeGtjD0i043\nUWfzObCxcybfDOlB60n34tC5AI1VwOQhtqZpYnk5jc7OQaiqb10Mlj8vlzOg62n09u6BWyk9FAqi\np2cQN29extLSHM6dewuxWAdGR2/Dtm309R3CxMQ3sKwAfvOb63jnndfR31+560QiVY6d3QzbtsXP\nQ74ZKYoiFuKt3ABbFY/Hg2g0KiJ6i8WisA/QgMFH+R18//33kcl04dVXn0dnZxeuXbuN3t5KK8fS\n0gxisU74fP6qr5+fn0J3d/VuYk/PHsTjcdy9+w2Wlmbw1ls/gd8fQLFYEEEh+XweqqphZiYJXdcR\niUS2dA3bSb33sbzLWt44kUcg0OBHv98vglqo14p+v2kDxufzVT1MMszTDtmeAHfBVG9Ir3yfdwY6\nyXHnmw33dQuicJ5LreO59WG59TfR3zuFMzgHw6ZSKbEBu5lrgt6LcvBPoWLMB12f096YyWTw+eff\nIZXqxNraCI4ceQE+nw+3bl3BnTtf4dixMzh9+hxMswjTLEJRVCwszOHEifMVx7EsCysrC3jhhWPS\n+ZTnRS0tTaOtrR3JZAKLi/MolUpQFC/8fg22XUI6nUY0Wt1bBZR7o7q6+sXzRnnWX0EIK8PIIJ/P\n1Kx+AeWQi1RqGT/84Z/i8uULCIXCGBw8gEKhiEIhLwa4K4qC27dvYM+eQezffxQjI/ewd+9cxXOI\nUxBThYkcSBQwlsvlEAgEmm7h8Pk2rpN+fnQ8+j2Jx+O7dvP3aYcFVYNQgg/1PZRKpXXfcPkmShUr\np21HfnBv9A/rSVv+aomQTCYDRWlDMBiC81Lm56fR0dEDVVVq7qodPvwcfvazv8LLL7+Gjo5uAEB7\nexCZjI5QqA3d3fuRz09B1wP4q7/6O/zH//jnj3QNbj8PVVVdvfj0NU8DsninB3jq1dF1vWLxbuZm\nr+s6/umfvkYsNoz9+7vg9XqxvDyLQ4dOVHze8vIsOjvdF7iVlXkcPXoSwEbkbXnoI3D8+Iv41a/+\nDnv3HhZ2Er/fJ/72yg8vJvJ5H+7evY/Tp082Nc1+O2nmd4UsNX6/X1Sh6F5SKBSE9Vd++LNtG7qu\ni91KanTnRZR52inHb2fqCqZaQ3pp84Wo9ZozrbWefVDexJPPpd7x5CTAWlUF+djyxyianIRVsVhE\nMpmE3++vGEFRC/l+Q0FLAERMN82xXF5exoULd+H1HoDHU0QmY2Bg4AA+//y3sO1y9Hl39z6Ew5H1\n9aOI2dkxeL1+KIqvYmNzbW0RqqohEmmDaRYxMzOB5eV5JBKLuH//G/h8fvh8G3Zn2y7f45aWZpFI\nrOI3v/n/EAiEEYt1o7u7H/39AwgGw1hclKtPnvXj+IQYWliYQ3t7J7LZHAIBzTFMuMz09CTa29vR\n2dmLs2ffwMWLnyEcjqKjowt+/8axdF3H+Pg9fP/7P4FlWWhvH8Tly3fwox91ip97rch0qjCREJKF\nFf08m3n+I2EsCyv6/rQxRxVRXhNaBxZUdaCHcrlx3CmMLMsSD+7yjZEeaHfTL3s9EeLz+fDgwQgK\nBW+VmALKlQe32RMyZaFVQji8sRvV0xPF3btphEJt6O09hMnJ29iz52V8990nuH37No4fP970NVBF\nTX6orlcdfJp3/6nPKhQKiSntlmWJfj5N06BpWs1FWv6d/v3vv8TMjAdHjrSjp6cLyeQKbNuLeLyj\n4muWl+dx6tS5qmOtri7C61URjboPhI5G4ygW87AsWax4oCgqgkEVllUWVrFYF+7dG8P+/UPrllPt\nscfZi7Nr4ndH/j2khZE2ZzKZDAzDENci/+6SDcg0TXi93ooh4AzzNEEbCY2k+tWqXDmP53zNGXe+\n2TEJ57nUOp6zD4sEDVWe691vCUqXCwQCFb00VGUKBt3nQMpQXyd9fzq3ZDKJixe/xtycFwMDZxEK\nteHLL3+J7u5BXLjwS3R3d+P48Tfx4Yc/w8sv/0CM7iiV/FhamkJ39wAKhQKKxYLYVJ6dHYNtK7h0\n6WMkEgvo6elFe3s3jhw5jmw2gZdffhsdHT0ASIjmYJolXL78exw79hKOHDmGXE7H8vICFhbGcPv2\n14hGOzE1NYLTp887r2x9U9SDpaXZihAMRVGgaZU90HNzk9izZz8AoLOzFydPnsHly7/H22//BJoW\nXL8GH+7du4X+/gH4/eWfmaqqMAwNd+8+wOnTJ8TPkN5bN9wqTNTyEQwGmxqBIwsreQ4bXWcgEBDP\nZrzZ1hrwT8AFusHS8DX5QYYecACIMu92zyva6QqV8/jy7CUaYutMHlQUBVNTi7hz5ypu3Pgaprmx\n62ZZFlZXl9Db694YSjx4cAvHj5/C9PSI+Fg02gZAB1BOcQuHo1hZmYKmDeN//s/Ge6nc0hOpt6gV\nZ3k9bmhxpdheuQE2mUxu2me1traGX/ziIlZXVxCPl2/iCwvT6Orqq/i8XK68eHR3V1eoyp9f+3ck\nlUqgvb0bur6CfD5b9brXW45d7+zsgm2Hsba2JuwaiUQCmUymIu2QrnsneNTjy3G8zvli5MMnZFsx\n9d4hu58AACAASURBVDLm8/mqTRyG2e3IQUFu4mazQbx0D3Mm9NWKO693TLl65OzFaiQ+3RnjThUn\nut/K36cW2zHYl75/NBqFoij4/PPL+PDDewiFDsHjUZFIlEOAZmfv49Ch5/DCC29iZmYE8XhvRW+s\noihIpVYwPHx0/X4FLCzM4/PPP8BHH70H00yhr68P77zzJ3jzzZ/g1KlziMU6USqZaG/fSOArC7QQ\nQqEQ0uk1dHX1oFgsQlUDGBo6jFdeeRc/+tH/jmi0DanUKi5c+C3u3PlmPUBig1LJwtraIvr7B8XP\ngEIwsllDVB1XVuYxMDAkvm7fvsPo6+vH119/Bhr6W04inMCJEy+K99k0TQSDcVy7Norl5WUAtStU\nzve7Vk9bvUHK9Y5H34826WkTTtd1Ibh5PXjysKCSoN2EZDIp0oWcaX1ybxT9cbXSvKJmoF1yefZS\nLRFSKpVgml58//s/QTabwBdffCCagtfWluD3BxAKhUH2LWcfVTKZwNraIs6efWu9F2sOANbjyW0U\nCnl4vV4MDBxHJjOHfftewd27q7h//37N86eKGjVtOtMTg8Hgrvp5PA7km300GhWLB82zqhXd+8tf\nfoj79+ewf/9BvPTSCwDK1j6nQFpcnEE83gWPp/rWsrIyXyG0nKJkYuIBBgcPoq9vDx48qG4Ilq4C\n4XAPEomMEIdA+UEjmUyKifa7AdqEcf48SBhSLxxt2MiLq9wnxylQzG6HHhBrWf3qpfPVCpQgUVQr\nbKLeMeWkvUbDK+rFuMvih5LbANS0BMrUmj/VTAiCruu4ePEOrlyZx+Dg84hG4ygUCnj//Z8hlzNw\n7tw7GB4uV2JmZ0exd+/Biq9PJJYAKOjs7EYqtYqrVz/F1asfwOs10dfXh1df/RfYt+8IfL6NPq2l\npRl0dPS6rge6noSmhdDb2yc2lGjsjGVZ8Pt9OH/+XZw79xaSyQV8+OEvMDJyR4igpaV5hEJBhEIR\n+P2aCMEAaLM7g7GxB+tiNFDxvU+dehm2ncetW9cBABMTo4jFoojHO6FpGiKRiBD0mtaNCxcuI51O\nV4QJbQb9DsdisU0HKW8GfV86njw/jP5uZIsorwVPhmdeUNGOr/xLLttqgI0KDu2e0S8r7TLvtrQ+\n+uOUxSHNXqolCss3Ex8CgRDOnXsHsVgEX331MQqFPBYXa/fMEGNjD7B37z5omobBwWGMjW0Mz+vp\niSCbLe/Y9fYegG3nkEoloKqD+Ju/+XvXa6CSunMo8m77eWwXW6mYqKqKSCRSkUZHfVbJZFI8yM/N\nzeHTT+8hGAzj5MnnEA6HYVkW1taW0NtbWaFaXp5z/V0wTRNrayvo6emreo2Yn5/E4OB+HDlyEhMT\nD6p2JGVisXZMTCyJEI5oNCoarul3A8COCY3troB5PB7x84jH4+IBjmKQaUeaftfd0gF5bgmzW7Ft\nu2KeT71UP2eaHlA5O0pev+gh3S3uvN4xZaHlpNbxavVhyX+PwWCwotoEQNh9G6k2ucVsNzJ/ampq\nGu+//y3m5gIoFj04ffpl+P1+XLnyCRYWJvHWW3+KYDCGfD6PbDaDRGINe/bsqzjG7OwYfL4gPv30\nV/juuwsYGhrCT37ybzEwcACdnXsq3j+KI19amkF7u/uzwcLCNDo7e6AoG+u210vCKofp6QnE453o\n6OjC+fM/wMsvv4mZmQf45JPfYHV1GYuLcxWVLwrBKIuh8vs7MzOBWKyrImUZKD+7vfTSm5iefoCF\nhVlMTt7HgQNHpGOVHR3hcBgdHd1YWbHx8OFozYHP9aBNs1qDlBuJyJcrY3Ru8vwwWrczmQwLqyfI\nMyuo5NlRZBVyVqPIRkYVHLqJUul/p3yrO2H5owXCeeOmBKHNZi+V41fLuzxerxdnzryKWCyMr7/+\nbL3yUPtB2TRLmJsbx759hwEAQ0PDWFycRaFQXszi8SgsqyyogsE2dHbuxfT0bZw48WPcu5cSc4fo\n/aASt5s1sVV9xNRr14o3OEqjo+G0tJNGD/J/93f/hEzGh1isE0eP7gdQbkLWtDBCocqkvbW1JXR1\n9VR9j9XVBUQi0QoLiUwisQzLstHV1YNoNI729hgmJh7WOWcVhqFgfHwcQPlBg2Zy0SIDlN93pxhp\ndeQHNdolle2AtAjTTj7bAZndjrwxRpsLMvUG8cr2O9oYqnRWVL622TFloeVci+XjOUXTZjHutFFL\n1Sb5GputNskx2/XmT2WzWVy5chNff72GePx5TE8/wOHDp5HN6rhw4ZfIZufxwgtvrKfzlitnIyM3\nEY/3wufbOL9EYhVffPE+UqkFDA3tx7vv/hmGh49DVX1YXZ3HwMC+iveQ7PdLS/Po6XEXVGtrC9Lm\nmweq6kM4HFrv17KQSq0hGo2JWPPOzh689dZPsG/fMC5e/AC3bl1Dd/eeqk0tj8e77lAJIZFYQn//\nkAg6kUVnKBTBqVNncfHiR8hkkujv3wcnFOA0OHgEd+5MCUGVzWabnjtVSwg1EpHvZjWkABPaEAXK\nv9MkrKhnmteCx0drPn3uECSSDMNAKpWq2J2SH0poh7uWjUzePW51ZFHoLDFTJHMjImRhYQ2BQOXD\n85kzr6FUymNk5H7NmyYAzM/PIBQKIxqNAygPMuzs7MHkZLmXKhwOA8iIcxscPIG1tTGoqgZVPYqf\n//yfqob97qb+KLr50o2zVYe3uvVZjY2N4ebNBfT2HhY7o4CNxcWylUOmUCj/nrW3d1Yde2Fhuurz\nyRbq8QAzM+NihgkAHDx4HKOjd4W9w8nY2AN89911PHgwWfFxaqAOhULimpy9YtuxwOx0jxahKApi\nsViFHbBYLCKdTldUEWvZAXkoJNPq0O464VyPtmL1kwWV87XNjknzo2RhJ48zAKpFU60Yd3kTzema\noPOhcIFGq00yPp9P9OooiiJ6dRKJBL766iv89KfvYX6+HX19J5FILMEwstC0ID7//D3s338QoVAU\nBw+eEPdMRVEwNzeGzs7+9QpKEleuXMBnn/0CwWAQP/7x/4kDB56reC9XV+fQ17dRoaJ7ka6nYBgG\n/P4gSqVqsbC6uoyeHmdPbVlY5fNpxGKd0LSg6JMtb3ybGB4+ildeeQcrKzMYGbld0W8qs7KyiHg8\nhq6ubnFuJDhIdA4M7INlAbqeqfscFAgEoao9GBkZFx/b6twpEkJOYZVKpVzt6rKryO0c5X5cWVil\n02nhqpKD1Zid45kQVLKtL51OC1ufXGFy2vp2+xBeCsxwE4Xyja9RFhbWqqoRXq8Xw8PHkM3qWFlZ\nqfm1U1OjGBysHAQ4ODiMqalyBcLnUxGN+lEolG+MPT374fGYmJubxODgGVy+PFEhqCg+tlX7o0iU\nE/LOq2zJanSS/eNG7rP69a8/gMezB+n0Ag4f3r8eXmJgYWFWRN8TS0vziMU6XKNr19YW61YxFxdn\n0d8/IP6/t3cAimJhbm6m6nPn52dw9+41vPrqO9D1Ul0bBj1wyL1iJGxb9f0H3OedkB2QFmG5iigH\ncshVq1KpJOyAvKAyrQZZ/WrtzsuCyc3q59azBKBKuDitfnKsudPqV6sXq5ZoqhXjLn8f5znJ/+/1\netHW1rZptakW8v06HA5D13V8/vl1/OM/XoFlDaGjo1zFuX//Kmxbwa1bF3D27PfR0dGLQqGI/v69\n4r3weoFcLov+/kE8fHgXH3zwMxQKaRw+fBIHDjxX1ddmGDpyuQLa27tAp+nxeBCJRJBMLqG9vXv9\nerIiKAIAkslVeDxeRCJtrte0uDiLnp5+RCJhaFqg4n5H97xTp76Hzs4OfPHF77C8vFB1jNnZKfT0\n7KnYZFPVsgguFArIZPT1eYBeRCIhjI7W7tcGgM7OPty4MYbFxUWEw+Eti2D55+ZWYUqlUhVJl87E\n11rIwoqqhbTeUcWKhdXO8lQLKqetz7IsIaQ2s/U1ktb3uFL4GoVu+hTTuV2isNyrVHId1Krrazh6\n9CS+/fYiCoV81bkXi0Wsrs5j7979FV/X3z+AYjGPRKKcnkN9VOX3X0VHx15MTNxAX98QkskoLl26\nJI7dzEyvx4n8/sv+e7IkkoeaaDat6XEzNzeHW7cWcPjw6ygUEjh27Cg8HohQkUgkikIhL6pIKyvz\nVSILoKjehKsVEAAMIwPDyFQJrn37DmF8vHKRy2YzuH79c7z44qvo6OiBbYdEAlMtZDFCDzzUzJtI\nJJDNZpt+/59UiiA9HFA6IC3qciCH/ODnrLyzHZBpJajfA4Co+Mi/m/UG8dbqWXIew60CRcd0Wv1q\nCS15k6yWaCI7H9FM6IDH46moNsnJcI0GGGSzWdy+PYIvv5zC7dsZ+HydGB4+CtsG5ucncPfuTQSD\nXrz55r9Ed/cAJibuYu/ewxXvzezsKAKBCK5f/wzLy6M4d+5dnDr1ChYXZxCJtK+/BxvnUQ6d6HEJ\nnfAgmVzBnj37oGkUFFFa3+Q1sLg4i/Z29/UAKFvAy8N6y2IxEolUJPlNT0+gvb0bzz33Ao4ffwGX\nLv2+yiK+vDyD/v6NdD9FUdbTBYMipXBychxeL/DSS2/gzp1r0PV0zXMqlUw8fDiBW7dG6loumxVW\ntYRQMpms2GxotJ3BLRmSQqe4YrWzPHVzqEgk0cwGYMO7LH9OvXlLm814abWHecuyxOwlgm7QblWc\nZgVb2Y6hub62urqMgwePYWlpBrdu3cCpUy9VvD4/P4NoNF6VsuP1etHbO4jp6VHE413w+XwYGbmM\n9vb9GBg4gL17T+DKld/C4/Ggvf0YPvvsG7zxxhsteQNwe/9pQQQ2HgTIUkdil4Y+0kOF3++vqCA+\naf76r/8WltWDdHoF3d096OzsQtnuNwe/PwRNC4ibs8/nx8rKAo4efb7qONQ/5fdX/g7Rz5Li1J19\nB0NDh3H37k1ksxkEg2EAwM2b17BnzxB6e8vVrFAojrGxGQwMDLge27lTTRsLhUJB9G2QvbfV3v96\nUN+HpmkV9j76PXQb3kzCinpO6KFxs51PhtkJaFNDDqKQN5fI6rWwsIDp6QR0vYB0OglAxw9+8DYi\nkbJjwmm/o40tQn6t3jBep9By9mK5fa9afViy2FNVVTy82raN5eVlTEzMYWCgG36/v2JNo2pTeXht\nQcwy0nVd9LrK1TYAWF5extTUAh48WIOi7EE8PoAbN36Oc+f+BTTNj8nJMXz00c/Q07MPL730Q2ha\nAJZlYX5+Eq+//scV53z58iewbeCll17D8PBxeL3e9U3RRRw+fGb9PlPecFZVBUtLs2hvd3ceJBIr\nOHjwBPx+DT6fXzyTmWYJMzPj6O4eEJvcMqZpIpFYc2ywedaPU35f1tYWsW/fywCA3t69iEbjuHLl\nU+TzORw5cgLpdBKmWXDd4CuHYCjrUenT6OsbRCjUhp6efly9+gXeeutHrtdz+/a36OrqwepqCUtL\nS+jr6xMieDvmTpEQomcEWlvp97XZezT16tE50YZaPp8Xg+Tl4cC8Bjw6rf/k0CC0g0TVJtu2RYM9\nUUt4yEJqt0DCsVgsVjTbK4oibvrb9QeSTKbg9bqHCSSTa3jhhV709vbh97//DfbuPVBRxp+bm0Z/\n/6Dr1w4OHsDly5/i0KHTCIdD6Otrx/z8LJLJZRw+fBJebwFra/M4fPgMrl+/hsXFRXR1dbke63FD\nvmZKViPo/fd6vRUDFWXo51LuHYN4GKZ/VFVFIBB4opZGwzBw+fIEjh79v3D//qd4/nmybHqQSJRn\nji0szGJiYgSp1DJyOQMPH95FoVBAIrGKQ4eOChG9vDyHeLx6YSMWF2exd+9w1cf9fj96e/sxNnYf\nx4+/gNXV5f+fvTePkfs87zw/dd9nd1f1fZNNNm+RFEnd1uHIsT3OeK3JbnYn2SwQIAGyg8kEg3UG\ngwkmSLDBZLAJZnPsAskC9iTrzTiO7TjWaYmiKJKSSDZvdrPvs7qruu77rv3jV++vf3XxEkmJSn//\nodRV9dbvqvd9v8/zfb4PwaCPl17a2gRYrQ58Ph/5fL4hgt0KYvOj1+trrMfv5fp/VhmqZhAZOLFZ\nFJJlIY8xGAyy6YzYJFYqFSKRCJVKRZZEfl4zv9v44qFSqcj1jNCYRSqXy4RCIT755BrhsI22tsEq\ngUpy8eKH3Lr1Q8bG3Hz1q1+W51GB+gysyNbC7Zv7Kmuq6muxxH8r55hWdVj1tVbK96dSKT744CqF\nQhc3btzE7VYxPj5AX19fg2RRzFGS8560WU8kEvIGOBKJcPPmMmfPXmfPnpdobz+CRqPh2rUPaW/v\nw+Fwcf36eW7duojN5uT5578mzwt+/zIGgw2bzQFAILDOpUsfEIuF+MVf/HUcjq1m7alUFJPJSnu7\nh3w+JxNdjUZDMLjO6OhecRXlY0+nk+TzWVwud9PzicVCjI7uI5VKotPpMRj0cpYrHPZjsVgbAnDS\nOGpKpSJqNTid7dXrWsJgMHHkyAtcvHiaYrGAVqtvqYiojgSoiMc3OXjwVdRqNTt37uP06Te5ceMK\nO3eO19yPTCbN2tocR4++QKVS5vLlW3z5yx6ZiNSTYHGvBbG6l7Vco9HIxCqTycjPmCjjuFfzLY1G\ng81mk1vMiH1yLpeTg3Li97BNrD4dvhCEqlKp8Bu/8Rv84R/+obxZgK2IbDPiIXTV9yOBexgufHc7\n/p2ya3fqwH4/aGZIAZIOWqvVVftPwdjYHq5fv8jx4y8AUoo/GPSxd29t1kKQEbPZQqkkZSg8nh48\nHicu1zjr6/NcvHgSvd7K3NwFnnrqm5TLXbz99kl+6Zdee+Dndy9QZkBvd/3v9tkQm2GRqRKpeBGR\nFJGkRz3Jvf76G8AwbncPmcw6o6Nfll+bn58kHo+RzycYHR3F7T5BNBrBZDIxNLSDtbUFpqYus3fv\nUXbu3E0kskl//46m3yPs148ceabp64ODO7h06Tzj44eYnLzMyMiummynWq2mUjERDAbp7u6W/343\nhESZxW12/YX099M06b5f3A9hE3JAo9EoL5rCUj2XyzUQRWVPFdFCoX5ju41tPAwIBzKgIVMqCMnZ\nsxOcOTOH19uPx7MDrVaH0+niS1/6Kmtry1y58gHR6I947bWfp6NDCtiIuVkJQahu19xXaYVeT7QE\nWjXwra/tqq+1EqSxXC4zNTVDJGKis9ON3d5ONBri9OkAJtMKXq8Fo7FCb293td5HK/9Oc7kcgUCA\nZDLLxkacSKSIVtvBwsISHs9evF7JoS6dTrK8PMv+/c/z/vs/xmTS0t3dT6Wiw+FwynuHlZVbuFw9\nJBIJZmauEQjM09bmxWg8WEOmANbXl+no6Eav16PX68jnC+TzORKJGOl0Bp3O0OCgKgXRGqWAkmQv\nj0ajpa2tnWKxQKGQp1DIV8fXEwyut7RaB9jY8NHW1o5Wq5HdmUulEgaDkUOHnubixQ9IJjM8+eSJ\nlmNI46xVjZacQIVCociBA8c4f/5DOjo6sVis1Uyclqmp63i9PZhMUpA+Gk2zurpKf/+WpFBJGltl\nF+9lvykyTMlkUn6mxRplNBobXCvvBGG5L7JpIpiozFiJgPC2auH+8PikZO6A69evyyYT4kFo1atI\naib7+TU1aAYxqYriwmaW4Q+DTFUqFTY3Y5hM5obXQqENOUoEMDg4RrGYxudbrb4eqBaDWuWxRNpZ\nLDo9Pf34/SsYDEa6uhwEg8tEowsUChtEoxvcuPEmc3Of0NW1iwsXlj6zhq13qk/7tNdfRKWUpgP3\nUufzoMn9qVM36OraSyAwh8slLTqVSpkrVz5hevoaTzxxjGef/XkGBnZisznJZBL09AwwMDDC0aPP\nc+TI00xPX+L9998kEGheW1WpSDbrRqNZJuX16OjoQqUqMT8/TTweZHh4d8N7jEY7KyuNRcn3AnH9\nXS5XjXW8KDhWmj5Ix/5oXP7uB8oidWV/LmWPMaUzlqi1EpKkbWzjYUJsMpv1nBL/Xrlyg3jcxUsv\nfRODwcSpU99nfv56dR4u0N7u5eWX/wWxmJe//Mu/59y5cw0kR0l+WrkBQnPbdfE5JTlTkqZWtV3N\nDCrEePF4nJs3g7S391OpQKlUxmZz4fGM0tHxBIuLKn74w6t8+GGIn/1snjffnOSNN27w1ltT/NVf\nvcN7722wvu5Bo9mDx3OEUklDPJ5gcHC3fC1v3TpPPg/Xrr3P0NAOnnzyVYJBH4ODO2XJuU6nIxoN\nYTQaee+9vycW2+DEiVeBMl5vo5okFFrH4xHBqq2aplgsgMPRUc16pWoMOEKhDVyu5qqEYHCDtjZv\ndW9gka+rZBSRqva1bK1oCIUku3UxVUn17la0Wh0mk5mDB59mfv4mgUDwtvPZ6uqiosZKCq719Q3Q\n1zfA5OQVxfwfYWVlhrGxfdI7VSpcrh4uXZppuh8RxKq+71QikbjrvlPN0MwN8l4dBkHas9SboGQy\nGeLxuLxfrg8Yb+Pu8IUhVID8YIgHTDwUYoOh3Ph+mo3Qw85QKSGiCEIDC5/eMvxejj+dTlMsSlam\n9YhEgjWESq1WMza2n+npq5RKZQKBDdrbvbLUUkTMRfROq9UyODhKMLgBVEink8zNnWJg4ACvvPLr\nHDv2LcplNeHwApnMOqGQhoWFhQd+3W93PZREVhl5vBvTkvtBvemAcsJrtrFvdS6fBteuXWNtrcTI\nyH4ikRkGBoYolUqcO/cem5sLDA3tYHR0vOYzkcgmbrdHbqzY2dnLs89+hWQyzPLyslyzVD9JBwLr\nTezUa9HTM8DExFl6egab1jfZbE5WVjYfCNkWmw6ldTzQYPrwsBebB0XY6vtzKYmigPJ5+jwSxG18\ncSBc/ZRSP+X8qVarCYVCTE/H8HgGMZnMHDjwJMeOvczi4k3OnPkHMpmkPAc/88zL2GxP8Bd/8TZ/\n8Af/mVgsJr9Wn01q5gZ4J6Kl/J2L32SrOqxWBhXiczdvLqDX92I2W6oSN2lciWCmuHXrErt3H6ez\ncxcezz48noN4PIcolZykUhX27n2a9vYenM52LBYLMzMT7Nx5hEpFag48PX2N06ffoKPDyfPP/wLD\nw3tYW5vFYnHhdG5lndbX58jlCiwsXGbPnoMcOfIioGZlZZH29tp6KNGQXdSsbkFFPB6mt3dQJpRi\nHimXy4TDgaqpRCM2N7fI1pZRhEXONAWDm5hMliqZbVyTQyF/nd26SuHkZyGXy7B79z58vjmuXLlI\nPp9rGKdSKRMM+ujpqXUfBhUHDhwjk4kSiQRRqVTMzd3CZnOiUm25IxuNJjIZAwsLi03Pcet9zftO\nNbNHbwVl/Z4wwngQDoP1lvtivEQiQTablcnVNrG6e3xhCJXdbue1117jxRdfrNmMKInH41QjJSBI\nCGxl10Rh6qPY/CSTSSqV5oYU8XhE1kgL9PQMoVarWFtbrnZJb5dlVLAVPTcYpAJTh8OJyWRhaWmG\n6ekJRkZ20d4uRY127jyEXm8iHM6gVhcJhZK88865h3vCVdS7P8JWk79Pe/3vZuITz66YQMUmQLmx\nv99I153wD//wM7TafiqVMpnMBt3dfZw//wEqVYHR0b243Y3a9Hg8XDWtABHFdDgcjI7uwuVycuHC\nmSoxTVbtc4vVOp4AHR31vUhq0d09yOLiJMPDu5q+rtFoKZUMhMNh+W+flpC0yvKIPiYPGw86aCA2\nHPVEEaTIeTwef2jP0za2ISCkUNBYxwTSZvzq1QVstoGabJHb3c6zz76KXm/k7NkfEY+HUKlUbG6u\nk0oFMBpNvP76Tf7lv/wtvv/971MqleT1/nbNfVvZritJU7NzaHb8t2sUvLm5yepqgY6OHjQaTfWz\nW983N3cVlcpCR0dXtWfTFnm7fv0s4+PHa1x2l5amMJkcjI3tJZmM89FHP+PMmR8xPHyAo0e/jNks\n1TEvL0/R17dT/pzfv8bbb38fm83Giy/+c0ZH92I2m0kmI9VaJmONxCwUWsdqdTWtZ4pE/HR0dMpB\nNEEg8/kckUgIi8XadB6LxYIN9U2SJM5CPp/BYDBjNJrI5bIkkykKhS1ilUwmqFSKOJ3tTed4jUZD\nPB5jYGCEEydeYmFhkrm5GcU5CSOkdcxmCxZLYymDXq9n377DTE1dRq/Xs76+yOjouOxmWyqVKZVK\ntLV1c+3awm3bdojjuxt79Fao70ElMkxKInQvNvv1x6a03BcBt3Q6TTKZJBKJEAwGtzNWd4nHuoYq\nkUjw3e9+lz/90z9lamoKkH4Mc3NzjI6OPjQZ3MPKUJXLZVnjrISo8/gsCGE8nkCtNjb8XaTn65u4\nVioVduzYzc2bVygUsjgc0iZbWfRYj66uPj7++CT79h2mWLSTy6UxGq2oVGr27HmWubkJ9u9/FoNh\nksuXV0gmkzidzgd+rsr6tHqjCaEvfpC4m82+ss6nmZubqIt5UEgmk0xOhti58zni8Qg6XZ6NjRUg\ny7Fj3+DatXM4nbX3PJuVbOIdDlf90ZNMxjh27IWqbe9VxscPyBKbYrFAPB67Q/EwhEKbdHZ2EYmE\nsVrtTd+j09nY2NjE47n9WPcDUSNhMpnk2g/x24/H4zWFvQ8aDzpoIhZQjUZDLBaT/14sFrezU9t4\nqCiXyy2lfiDNvxsbG0Qiarq6XKjVta+Vy2X27TvKxkYXFy++g1ZrplzOMzq6h/Hxgxw+7OdHP3qd\n7373Yz7+eJZf//XXGBkZkdfT+qBqK9v1evt0ZT8gJTlTfuZ2BhWZTIYzZ65ite6XpYiVCvI4+XyG\n5eUZjhx5Vd7MajQaDAYjMzOXMZlcNX0ci8UiMzOXGBk5zPnzJwmHV+nuHiaRaOOJJ56R14dsNkUs\nFufAgQGKxQKXLp1hY2MOl6udV175pkySNBoN4fAGPT0j8vkKWf7q6kLTAFoqFSefLylMJ9To9Xoy\nmQyRSACr1Um5LBmPiNoolUolN39vJemLRDbp6uqR51rR+iaXy2Mw6AkEfIps21ZjeCU2N33s2/cE\nHk8nTz/9Eh9++C4Gg5GODi/5fB6DwcDq6lKTrNsWenoGWVqa4ezZ97FYzPT2DsgOlJWKJHHUq/12\n9gAAIABJREFUanXk82bm5hYYH28e7FNCuMwKFz+lGZXorVm/hihl2MpnV2mEUSgU5GO7XyOMZvVf\nSrfNbDYr14k/Lv1YPws8fimbKr7//e/T29vLb/7mbzI1NYXRaOTb3/42N27cYGxsDHg0krwHAWU2\npL7fhMlkeuCysnshhK3qp2KxEBaLQ26UJ9VHSRvlrq4Bstk4arVGtm6+XYZQq9WxueljbOwgbreF\nbHbLHW9oaB+VSo6lpSl27XqWlZUwk5OT93PaLaHsmaWst1P273oYm+V7RbN+SqIuJpVKAZ/+mf/w\nw7MkEhY6OvqJx+dQqytksxEOH36hWowbalgMQyE/dru7oQAZkO1vT5x4kXjcTzAYkDccoVAAm00q\nCJb6WTU/9tXVRQYGRvD5lloet83mZHHRL4/xMGqclHJMAVFAr8waPoh551HVaKnValmSooyqb2Mb\nDxJC6idIR7P1IJ/PMzm5gtXamLEulUpy9mdwcBS3u4vp6fN4PF4GBnZjMJgZHBzktde+xY4dP8fM\nTI7f+72/5h//8XXg9s19682cSqVSjX26OM7bNf1t1b8ql8uxvLzC9HSI8+ff4fr1T0ink/I8oVKp\nmJ29TF/fbrzeTpl4lEolwuFNJicn2L37iOLYipw79yaBQJCZmU+w2Sy89NJr1RrkEbzeLjlrMTd3\nFbe7m0DAx6lTP6ZYTLFz5356eoYbMk7B4Brd3f3yeidqKgOBVaxWZ0P/qWBwHbe7o2bOF3NWJBLE\n6+1taKKbz+fk5u/N1grpswHcbg9arU6uDVep1FQq0qbe51vB4WgDKk3nyEwmRTabqEoXVXg83Rw7\n9iw3b14knU7J8/Xa2kKVULWeq/fvP8bNmxfwentRqdTyMyL+LRYLGI02JiZm5PX3bnCnvlPKTJDS\nOKjZWiCIlcPhkDNMokbxbvuX1Y8n6r/Ecyx+u4KsCVfcx2V//SjxyAjVCy+8gMlkkiVMu3c3FpcD\nfOc736lpmma32/nggw8a3rdr1y7i8TjPPPMMf/u3f8vx48f5rd/6Lbze29djPGjc70MlsiFSo7uM\nHK0Szm4Cn3UkIBSKYTQ2EqpIZBOns41yuaKoj9r6kZnNdkql4h0za+VymaWlafr7R9jcXMdut1Kp\nbBGq9vZu9HorKlWRfB4qFS3f//7bD+TcRNGxMgKpNPr4LNzd7gbKCVkYKIjrLnpO3E96vlwu89Zb\nEzgc/UxPX2Vu7iylUpEnnnhWthiPx2O0tdX+xsLhAC5Xo519Pp8lk0nhcrnQ640cPvwck5MXKBaL\nWK1W+RmqVCCXy5NMJhs028lkglQqwqFDT7O56WspS9PrDWQyFeLx+D2f96eBzWaTawgKhQKJRIJ4\nPH7P0otHDeVmREhZHyeTnm08XhAGUdBIboBq7UyQcLiE1eqoeU2sMSAFldbWlonFVvmlX/oNIpFN\nPv74TcrlMnq9nuHhPsbHh9iz5ysUCk6++92z/Mmf/J8Nz3Z9fbWAkhzVz/9iE1l//K0aBYv1fWrK\nz/HjP8++fc8QiYR4883/lzNnfsrS0hTB4Bqh0Cbj40+gUqlrnDinpy/R3t5PPl9gauoqZ8++zRtv\nfIcbNz7iwIEneeWVX2J8/Em0Wj2Li5Ps2LFPdpMzGo34fPNEIkFu3PiQ8fHDHDr0ApubPrq6Bmqu\nbzotBeRE3ydRd6lWQyqVxO3uIJvNkkqlq/uUSrX/lIdCIU84HGBlZZ6ZmUkmJ69w7doFwuEgU1NX\nmZubYm5uksXFeXy+VRYXZ7BapSBaM0QiQTo6xPqiQqfTY7VaMBikAGI4HMBmc5FKNW9JEghs4HS2\n1dy3np5BRkd3cfXqJ2g0GiKREGq1Cr3eVHNO9VCrNZjNJiKRSPXZkP6u0+mqTdV1aLU6ikUzly5d\nbSBDd0KzBry5XI5oNCqv4fVyv1ZoZYSRTCbvqzxArAvifJXBW7FObxOrRjwyyZ9KpeLP//zP+dVf\n/dU7vvepp55qSqKU2LdvH7du3WLnTkkf/Nd//dekUim5+A8evq35/UA43dU/iPWyPqX9+2cFKdVe\nwems7e9TqVQIhzdxu73kcln57yKKUyyKxU9FKLR5W8eetbVl1GrYuXMv6+uL7Nt3nEplRSY3KpWa\ntrZeIEsyGaa7+wlmZy/i9/vvmzw360cmHa/2sbKNFkWvBoNBLiAF7rtR8NLSEmtrWcrlHJWKn0Ih\nxOjo89UskkSiTSZLw2YoHg/T3z/WMF4otInd3iZHI93uDvr6hpmYOMszz7xCNBpiYGAMvV5PuVyi\nWCwppIySzHJpaZ7Ozl6sVhtOpxOfb4WBgcaeVdL1sBAKhXE4HI8swyN+t1vSlJzszih6htwPMf88\n9bnaxjY+DYTUT5CO+jomkTW4cOEKs7MhDIYeWUomrZdSVkuKvhe5ceMjDh48jtPZxpNPvsAnn3zA\nxYvvcuLEV9BqtYyP95NMFtDrX2Ru7gwffhhFq/0L/s2/+XX0en1TJz6BZvbp4vX6pr/i+G5nULG4\nuEKx2I7d7sBud9DV1UsiEWd9fQW/38c77/wtLlc35879tCrF1QEVUqkE169fpLt7mM3NRZxON+3t\nPWg0fbhc3ezfv2UJvrY2h9FolU0gKpUKly6dZn19lWPHRhkaehGdTk8qlcTv93Ho0HM198fvX8bt\n7mxQYUSjAbzeXiwWC/m8VAcdDAaIRIJcvHiOzs4upqcvYbGYMZutaDS6KvlN4fW2o9XqKZUki/VY\nLMLKSpQbNybo7OwjHo/S1dVHb++AXMeUTMaoVJB7Y21B2M/ngRIOh4tyeUuSXyqV5WPf3NxoCPgB\n7Np1gEQiypUrn2CzSfdBpdpqHi1JLPVoNFtr5eLiHLt37yUSCeH3++TjUqvVqNUaTCYT5bIelaqH\n6embDA721Via3+2cL+zRm/WJEs/g3Y6l3BOIfYAwwtBqtbJ1+91APO9CoSOMKgSx0ul0GI1GisWi\nLIv/p76ePNIaqgdNEASZAqlJaiqV+tw0fq1Hq6bCYkNW/yAKQvVZkiopjV0bvRMa8nB4k4EBSTes\nrI8ql8skEhmKxSw7duxmdnbytoRqfn6K0dE9OBxuzpz5GQcParBatRQKWfR6qZlwT89OpqfPsX//\nN5ifv0koVOB73/tv/Ot//b/e0/mIHiX19VFCn/+4NjYVz1E2m5VbBygb1YqJ704T3unTF1ldDbFn\nzyEymRXa290cOHBMfl3KKDXeSylr1fi7C4f9DZmrPXsOc/LkPzA/f4t4PEpbW3t1MTPIdQhST6QS\nxWKGpaVZ9u9/AqjQ2dmLz7fcklBZrU4WFzcYHq53bnqwaEZGRNbQZDLJjoalUolMJkMmk7lncvuo\nCNU2tvEwIQrm7yT1k+pDoafHw/nzr9PZOcbBg8fkNQVAp9Nz48YF2tpceL19cg+io0ef5dq183zy\nyVscO/YqRqOJHTva+elPL+L1HiAUmuTMmRzZ7P/Fb//2r8qbb6UTH7S2T1eiXh7YSuonaoynpjbx\neg/LYwmHuKGhnRiNBlKpBMeOvVzNzBcolaRzjUQucejQlzh8+Gn0ehPForTJPnny7zh69BVyuWxV\nHqhmfv4aQ0OSpXcw6OfatY9YXZ3kxIkvc+jQU6TTaUqlEn7/Ijabm1JJqrURNeZ+/zJe71Y/JYFA\nYBWHo4319RXW15fw+1dQq1VVUxsVx469QFubVw6w5fN51tdXiERC7N17tGE8STKZ5uDBp4nHQ/h8\n89y48TEORwe9vcOoVOXbNoAPBv10dHix2+1kszmZaEv1TFoMBiPB4Aajo881/fyhQ09z+vTrLC8v\n8MILr2C1WuU1UlJ2ZKqBPKkedm1tgQMHjtLZmeL69Ys8+eQL1ZGU874Gq9VGItHJ1as3OH786H33\nihJ9opTEStnDTASZ7wbCCEPUawkiFI/H0el0mEym265FYq8nnaNaHk9J1MTxCZOxUqkk/6Yex33U\ng8Aj1TP9zu/8Dh6Ph2effZZTp061fN+lS5fweDzs2rWL3//937+rNKrZbJZ1rI/C1vxuvkPI+jKZ\nTI1bnJD13a/t+afF3V6fRCIBGOSsWi6Xq/6bIZfL43a7MRiMDYuklJlwMTIyTii0TjrdXF8cjUbI\nZpP09AxgtzvQ642EQhu0tdXWUXm9A+RyWaxWU3XTOsz16/67ei7qpZXN+pF9HmV99wuVSoXNZsPh\ncNQ4091JipZOp3n33avo9Wba2ryk0wt0dvZgsVjkcaPRUI39LkAqlaBSQe41pkQ0GmxwgVSr1ezb\n9ySXL3+E2Wyt0fIL6ZnVasVg0JNKJchkEthsLpLJJB0dXYRCrWV/ZrOVYDDe0NjzUaKVO2M+n5fd\n9O6ka3+UZOef6sK3jUcDUTDfTCoHW8YQkqzKxu7dB3nuuVfJZjd5//0fsbGxBlANGGVYWZli164n\najJXJpOJ48dfQK2G8+ffolgs4nQ6GBqyEo9HKJed6PVaJibgD//w/2Fzc7OpE18r+3Tl71EpD2zV\nKFic0+zsMjpdDwaDUR5HzE06nY7FxeuMjx/FbLbidrfT3t5FT88ALpeTUqnIk0++gMlkRa1WV93m\n5nA6vTidbTJh8/uXSafTuN0dfPzxSS5ceJuurh6czg7Gxw8BW6YN4fAGfX2jqFSqGie3YNBPV1dv\nzT1ZWVngwoWz3Lo1wcrKTdrb23j55W/w9a//jwwMjNHfvxOLxSFv1sVaHA77qzVOjYhGg1gsdgYH\nh9m9+yBHj77Al770Dfr6Blhfn+fdd3+M379BIhFr+vlg0F81RKqVaYp7sbHhI5fLYLfXmyNJ0Gq1\n7Nt3jNXVWaStrwq93iCvN9I4kmR+bW2ZUqmAx9PNwMAONJoKCwuzADVmKQKBQIDJyWU5s/lpLM0F\nsbLZbDXP1P3ao4u633txGKyXhAu0qv9KJBJyj1Th6vxPMWj3yHaS/+k//Sfm5+dZW1vj137t1/j6\n17/OwsJCw/uef/55rl+/TiAQ4Ac/+AHf+973+KM/+qM7ji8yVJ8HCAIimsA228Q/DunRzc0oarWu\noX9UOp3E5WqvShwazyES2cTlakOvN9LZ2c3CwkzT8RcWpuntHZR/sB5PNz7fEg6HhWJxi1BZrW70\negt+/xxDQ3swGCysrWX56KOPWh57/T140I14P2+on7zutVHw5ctXWFgIsGvXU8zOfsDw8ADt7bXF\n4bFYsKFBbzgcwOGoJU0CUgaq0SFKahJZIJ1uTnykugYD0WiYnp6+6gIFarVWlgE2WwikrK6ZcDj8\nUDM8dzO2yBoqya1Shy6a694pKPAoJX+f9/loG48X6qV+zVz9BInx+8MYjdJG2Gi0cPTo8wwPj3Dx\n4jvMzNxAo9GwsDCFx9OJ1eqoSualZ1Zk5Y8efY5yucxHH71BuVzmqaeeZHDQTqmUwOebZ2XlI06f\n3uCP//j/IxqN3pV9ujDDAGoi760ImPh7IpFgYSGBx9Mnq02U2ay1tRm0WgvDw2NVGZb0ncVikcuX\nz9LXt1s+DuEKuLQ0yfj4EQwGo6ysuHnzIslkjvfe+wEmk44XX/wXaLU62tt7MRhM8nkUi0VCIT8D\nAyNVAiHdi2DQR6WiQaXSEAwGmJg4y5tv/i23bl3AZNLzjW/8TzzzzFcZHd2HxWIHVCQSIbq6+mRS\nUywW5d5iUhCtuUooGNyovrZVG2WxWOnuHuTw4efo7OzBbrdy6tQ/cv78aZLJRM3nI5FNucHwlvOd\nJJfT6fQEgwEcDmfVPCEj25wrEY/H2b17P5cunSWXE734toiVOKelpTmcznZ5jt6z5wlmZ69RLBYa\n5slEIsbq6hxe704WF1camuber6W5Mhsq6qTvd6w7GWHUr6fK7FSr8errv0TQMJ1O/5MlVo+MUB09\nehSLRaq/+OVf/mWefvppXn/99Yb3DQ4OMjAgFU3u2bOH//Af/gN/93d/d8fxLRYL6bS0Cf+sMlTK\nJrDigVeaHNzLJv5RnEMziFRvJpNhfT2IViv9WESUzGAwkEhEWkaBQFWtr5I23oODY6yuzjdsHIvF\nIuvrSwwNbdXedHf3srm5Xi2q3CJUGo2GtrZeAoE57PY2zGYTsViFN9442/Dtd7oHn1ejiQeF+sn+\nbhsF//jH71Mug1arQavN4Xa31ZAhScaWa8g4RSKbTSOSyWQcUGM2W5oep9vtIZuNk8mkG2xvBfz+\nVfr6hqsafRNarYaOjm5WVxdJp9PVptO1zRF1Oivr65t3caUeHZTkVpiICO1+s2bNj6K+abuGahsP\nG5lMpiYjU7/2ib5NlUqF9fWoXKMinsmenkGeeuolwuF5PvroPZaXbzE6urfGhU+p8NBqtRw+/DS5\nXJpr1z5kZuYqyeQkTqeKZ555DZdrmGh0mTNnZvmDP/gOi4uLwN3Zp0Pt5rIVARPn9PHHl9HrO2VZ\nlfKYNRoN09NXZfc+lUqNwWDAZDKRSISJxaL094/UuP4uL09hMrnweCQXv1wuw7Vrn/Dxx+/i8bRz\n4sTPMTx8AJUKVlen6e0dqbnWm5sr2GxtsmOvWA8lQqXm5MmfcPr0TyiX8zz77M+xc+c+hoZ2y7J7\nJYRxhMFgqJIZ6fzL5TLRaBiXy9103yIFWpUBOWldtlqtqFTSvuPQoac5ceIVoML77/+Eq1fPUyjk\nyeUyZDIJxee3LNNVKknZkE7H6ejolu9DMpkkl8vWECu/f41du/bT1dXDhQu1PS1F1tJsNhMMbtDX\nN0yxWCCVSmK1OnG5XMzMTKKU/AHcvHmF/v4RuruHmJ5eJ51ONzTNFZbm90qGxPssFgtWq1VeO8RY\n9+ri18oIo95hUPms3g6i/qt+vHg8TiaT+SdHrD6zneW9mC7czfs+qwyVkoDUN4FVNhX+PG1cmpE1\nkdERNR9SGjdT7eq+1WdHpVIRi0Ww25v3gSoU8mSzSXnic7s7MBoN+HyrNe/b2PBhs9lqpGJtbR2U\ny0Wy2RQ6XUk2twDwegeJx0PkcimGh/dTqWiZnU2wuSltnoUpQKtGvJ+3e/CooZSiKRu75nI5bty4\nwfXrK3i9I2xsTLJv3xOk07GaTvfR6CZWq6PB7jaRCDeQLJAyV3Z788yVtCAk6enpY3b2ZtP35HIZ\nEokoXm8voEKj0WIymRkd3U0kIsk9xe9O2YjSZnMwNbVYYzf7oHG/ZEQUDNc311U2a77XBfJ+sZ2h\n2sbDRKFQIJVK1QS0lFD2bZI2XNqaxrUCTmcbzzzzKonEOktL0+h0RlnqV9/XUJCzI0ee5fr1C9y8\neYaXX/4mzz33DGazna997V+xe/ezgIpLl3z83u/9JdeuXWtpny7IkYDSSbUZARPnFAqFmJ6OMjHx\nIVevniGRiNTUkM3PX8dm8zT0QVKrNczPX2PXridkmWChkCeTSTM9fYnBwd2srCxw5sybnDnzD4TD\nyzz11Fc4ceLLmM12KpUywaCfSCRSbZa+NY+sry/h8WzJ+jKZNDduXOLcuXfQaIqMje3mxRe/ydjY\nIVQqLT7fEm53o7mDtC+Iy2uDmNMsFkmmX6lUsFhsVTJTSxyklhvNslcqeUxprTaya5ckCYzFQrzz\nzo+4ceMKTqerJhMovl8gEtmkr28Is9kiz61CGpnP5yiXS4TD63R29rFnzxHy+SSzs40tWILBABaL\nma6uXkXmsMCuXftZXZ0hldpq7B6PRwgGfYyN7atmSl3MzMzLx9asaW4qlbprS3NldrTeHl1kgO/H\nHr0VERIOg3dLqOrHs9vtMsHOZrMkEgl5Pylq1b7IxOqREKpYLMbbb78tO2D9zd/8DadPn+bVV19t\neO+bb75JIBAAYGpqit///d/nF37hF+74HVar9ZFmqMTYuVyuaW2O2Wx+LGyIha5bpGnFD7hYLKLT\nWZtmdJLJaNNNNEA4HKpaim4VPPb1DbO8PFvzvrW1Rbq6Ggth29u7WV9fwuUyk8ttZamczg7Uaj3h\n8BLd3YO0t3exsZHi/ffPymRWaT3/OEkrHyWUk7zdbkev1/O97/2AaDRPoVBErzfR1dVOLpfH4XDK\nVrHRaLCptC8ajeJ2Ny6SUuaqeRYzkYii0ejZt+8oPt9S00DIxsY6LperoXDWZrPjdNrJZJLyZkZE\nksPhEOfOvc/09Hy1/u/zifp7oKx1Eza3jxr3UvC8jW3cDpVK5a5c/UBaL6PRGCqVteZ1kH4nwj3M\nbnczNraTU6d+QiQSkl9TfkaQnIWFGQYGenE6Xfj9y3R1eXE4MiSTUU6ceI1du46Tz5dZWjLwb//t\n/8HExEQD6VMSPrFBFCZRzQiYOCdJhrfMnj3P8dxz/4xSScPJk//AuXOvs7g4SSoVZX7+Jrt2HW64\nbqHQOvF4nB079mI0mjAaJYObS5c+ZHl5hYmJ95idvUBXVw+vvPJL6PV6duzYW63JNlQb1s7S0dFf\nJbRpSqUi5XKFYNBHd3c/0WiYCxdO8957f0c8vkF39wCvvvqLjIzswWazydd0c9OH2WxryPCEQuvY\n7a6GjbbUozCI09km3+stMpMnnU5SLJZarglSXytPTdbLbLZy8OBT7Ny5j4mJ0/j9Afkeb23tpO+K\nxyOoVBXsdmd1/TdjNm8pMnK5HEtLC2i1etnp7oknnuHWrWtEo+GaY1lbW6azs0dWd4hxrFY7Xm8P\nly59TD6fAypMT9+kv38EvV4iwG63l5mZDXkvKp7j+7E0V5qSKU1NHqQ9eisiJJ7xe1XziPovu90u\n15Jls9majJVoWfBFJFaPhFAVCgX+/b//93g8Hjo6OvizP/szfvzjHzM6OsrKygp2u53VVSmD8e67\n77J//35sNhtf+9rX+Na3vsXv/M7v3PE7HlWGSky04mEQ/z7o2pxHRQrFhCfkCwaDAYvFQqFQQKVq\nbPQp9NKt6mYikc0GOWBv7zDRaEA2pygUCgSD0mRej87OHjY3fbjdFvL5jPx3h6MNlUpPJLICqGhr\n85LPqzh58kpNjxJlI97tDeLtodVKNUkrKxkcjm7K5Sxebw/pdBSDwUKhsJWmj8VCdXINyeZWWnQa\nZX3xeASXq3lx8uampKU3Gk10dfUyN9cYJQwEfNUoayM8nm7W19dkuYgotr1w4SxQort7jHBYWiQ/\nTxmqZhA9X0Stm9LVTGjmWxUOfxpsS/628bAggnNwe6mf2Byurgar9TlUI9giu6xGpYJ8Pkc4vMGJ\nEy8yOrqDCxdOEotFap5dUesUjYbw+aZ5+umXOX78S0xPXyIY9DE62kulEqBSKXH48NcYGdlNqVSg\nUjnIf/kvP+HWrVtNpX6C0Im/K4+93qCiXC6zvr5ONGrA6WzHbneyf/+TPP/8N+jp2UUsFuVHP/or\nVld9zMxc5dq188zO3mRpaYbl5TnOnn0Do9HOzZuX+Pjjdzl58gd8+OGPmJ7+hMHBnTz99Fd48slX\n6eoawe9fArR4vd2I9iIajYZQaI3BwZ0IS/B0OoPfv0ShUObKlY84d+6nmEw6Xnrpv6OnZ4jOzr6a\nOh2TyQSUKRZLOJ3umgwPVKp1UM3blUQikiGF2AspyczKygIWi6PlfCOtL+3V+76V9dLpdHi9PXi9\n/RiNBt5664cEg4GG+SsQ2Gio75V6clnkY/H717HbnSSTKQqFPA6Hi7GxcS5d+kh+5iqVMn7/Cr29\nwzXjiHs9NraPQGCZQCCA3+9nbW2eHTvGa96rUjmZnW30BxDnpaxrFpbm8Xi8Qb6u7EHVzAW61ViJ\nRKJhrDuhnggJiBr0e92HKnvJKk064vG47BIoiNUXCY+EULW3t/PJJ58Qi8UIh8OcPXuWF198EYC+\nvj7i8Ti9vVI6+o/+6I/Y2NggkUgwOzvL7/7u794VQXnYGapSqSRLypQuYmJD9DjU5gjHOxEdFBCu\ngyaTSc6qJRJJ1OpGQhWLhTCZrHIX9HpIGurajIVer8fr7WJpSUqFb2ysYbfbm9bXeDxdJBKxqtnF\nFkHWavW4XF7C4RUKhQIezwBms5PFxRhra2tyjdr93IOHTV6F0+OjlHTdLd577z1SKTdQoLd3Fz09\nbtLpGDabm1wuJz8rksFELUGKRILYbK0NKdzuVm5Pm/IzMjo6zurqvKJAmKp0RZJmNENXVz+BwIr8\n/zqdjvn5W+h0Ko4ceQ6r1cHamiQFVQYMHhQexv0TmxmHw1Hd1EjIZrOyHPBBNlHcJlTbeBgQjqp3\nI/UzGAzV3kYJTCYLlQpNI+w+3youlwtQ09c3woEDh5mYOInf75PHFJ+bnLzErl37MJttOJ1u9u8/\nxpUrpykWc+zZ043fP0O5DEeP/nOMRg0aTZF4vIv//J//lpmZGfkcmjXqVbr0KbNuom63WCxy86aP\n9vZh+f1SLyE9w8NjHDx4go6OXn7+5/97vN5OVKoi0aiPjY0Zbt36BJ9vFavViEpVwOvt5MiRFzh2\n7BV6ekZ48cV/hsvVgUqlplIpMzNzFa93kGKxVDXnkFz8KhUNXV09GI0m1GoVS0uzvPvuD6r1RR5e\neuk19uw5htFoxu9flWuOlAiHN+Tef0pSlEwmq8HO5qYT0WioeowqucGwqBmNRAKYzTaZzCjliOVy\nmVgsgsdTS9SEZN9oNJDPp3nqqZcZHt7BBx+8Xq1l2nIwDIUCtLd3Nj0ujUYKtCYSETo7e6lUpPKA\nZDLFwMBOtFo1N25cBWBzM1CV1tWua2LatVhs7Nixm5mZGywszOB2eykWxTMtvcnt9jA1tSY3sq6H\n0nlPSYbi8XgNGbqbpr71Y8GWi9+nIVZb5y0F9e7HYRCQjZlELZkYL5FIyMRKqYx63PH5ZgD3ALPZ\nXJNmfRCot9xWSsrEQ/44ZEKU9VFKxzugpTQuFIrLBaxKxGIRudFrM4hMRv3vrr9/B2trUtTG719r\n0I8LaLUa3G4P8XgIlUqSG4j7YLd3UCxCLLaOw9GO3d5OLJZjYuLm5+4eKCce4fQoHN7qs5ufJX72\ns4sUChqKxTzt7YP09bWTz6fp6uqWn/F8Xpr4tFpDzbMjSTwaJRzxeBS1Wts0cwUQiYTVWQs2AAAg\nAElEQVRkDb7ZbMXr7WJm5lbN61qtpmWdnhSJLMlSjXA4xOrqLCdOvIjFYqWjo5NAICYXggtXvftZ\nEG6Hh/HMKaVMysjo3Vjf3wu2CdU2HjSE1K+Zlbh4vT7zE4/HASkzWywWaqSnImuwsbGC2+2VX+vr\nG+aJJ44xMfE+fr9P/j6/f5VKJcfg4K7q58Hj6WRwcCcTE+/icjnQ6UJcvnwSv3+Dw4e/Tiq1Tnf3\nEMFgG//xP/7f+Hy+mka9UvanNuBW379KvH9xcYVCoR2zWdqQikCOcPycmrpAd/cYPT1DDA6Os3fv\nCY4ceZljx34ek8nMSy99iyNHXmLv3hMMDo7jdHYwP3+VwcG9qNUatFqpf1CplCMaDdHbO0QulyWb\nlUoOlpdn6OkZJpvNcPPmBO+//0NCoQWsVhuvvPIa/f075RKFcrlEKLReY5cusLnpw+XqrMnwSE2V\nS4RCUnP3euIrZH31qgRhyJNOx2lr88hkJpVKVWukK8TjYXQ6Q40roRLhcAiXy4XD4WJoaIxjx77E\n/PwNrl27SKFQBCqEwwHZAbAZcrksuVyKvr6hKhlWy8eya9dBFhYmCYeDrK0tNx1HPItqtYqxsQNk\nMhHW1mYZHd1dfa6zMlkUWar5+cWWxwNbZMjhcDS1NBfP9d0Eie/XHr0ZlGt8PRG6H4dBpcRdaaxR\nT6y+CBmrLwyhepAZKmVdUTPL7UfRu+hBZE2a1UeJyV2gVfZvbm6ZSqVxs5VIRJt0Mpcg2ZxWsFrt\nDa91dHRRqRTZ3PQTDG7Q1dU8+yDeGwptYLXqSKWS5PNSw0ObzY1abSQelxoO2mxOdDozp05du+dI\nzMOCuObK6JSYUOqfG1Gw+VlNImtraywuZimVktjt3Wi1ORwOO/F4lM7ObiwWMwaDnmg0hNXqoFQq\nkkolyWQkbX48Hmkq/YxEAg39qgQEOXO5XDLpHh3dw8rKrDzpb2z4mtqtK9HW5sXnk7JU169fYGxs\nD0ajFADQ6fSUywbi8bictRQTuCi6/TTX/GETYSXZsVqt8iJZb33/ac6j2Tlsk6ttfBqIjRHUSuUE\nmmV+IpEoKpWZcrksz+HKmiXJ7ntdzqRI5kLg9fZw8OBRLlx4j40NKVO1sDDJzp375TlWmFfs2LEb\nh6ONixdP8uKLzzE62oHfP8/y8gIjIyeYmzvN0aOv4vNZ+fa3/3fS6XRNo9564xZl1kqcUyqV4tat\nEB7PIEDN+UjOuFE2NtbYvftgw3Xb3Fwjnc7UON6CFJwMh8M1f1epVCwvT9PfP4bVKvUpEnPb7Ox1\nAgEf7733A3K5BCdOvML4+DGsVmeNoUOxWGB1dZFyWdV0rZbsybeyPRqNtmo6kcRstqHXGxSkqFj9\njB+Tyd5wz8W1SKVS9PX1y2RGuJxKvbTWGuTkSoRCAVyuNrk2qrOzh6effoVkMszZs++xvLxIqVTA\narW1HGNjw4fL5Uar1cmW7QaDsSqdMzM4uIOPPz7F+voyfX2NjeGVc7JEDtxEIpt0dfU2ELRUKoXd\n7uLmzZUGNVAztLI0F3uIe5mX72SPfjfrhdIP4NOaaighrl29sYboh/ZFyFh9YQiV0jb9fiGc4pQy\noVaW25+VrfndoNl51LsO3g5SP4k4Z868xezsVM1riUS0ZWFpJBLCbm9OtgC6u/u5ceMyWq26JSmr\nVCp4vV1sbKxiMmnIZCTZn0ajrsrENMTjflQqcDjctLcPsbISa9rT7FFCaddeP9GIay4c3pTPTivr\n7EeBN954m2zWQaWSY2TkCE6njlwujU5nrEYLJW2+KDYWLlwiaxsM+qsLcu1vIBoNtXT4k5o+u2vc\nAp3ONqxWC8vLC9X3+FvWTwl0dfUSDG7g862Sz6cZHt5T87pKZSYcjsgFvMJVTxTJRqPRmijg/eBh\nExAxvnKRVFrfP4jz2Hb528aDgLBKFmumknTA1vwItZkrny+MyWQhn9+qg1Wrt4J8QoJlMpkbXP06\nO/sYHz/A5cunWVqaoVjM0tMzCNTalAPs33+UbDbFzMxlDhwYYWioi97eYSoVFRqNlfPn/44vf/nX\nWFqy8Fu/9e9qFBvKzZ3SLVZk3CqVCu++exa/P0e5XGkw3dBoNFy/fo6hoX0YjY1ZmFu3LjA8fLAh\nuDkzc5n+/t017oflcpnV1TmGhnah0+lQq1UsLt7i9df/Bp9vhbY2N88881UOHXoOp7OD5eVp2tp6\n5XtiNBrRarVsbq7icHga3PhSqTj5fKGJ6ZSKSGQTr7dHDu4oSdHm5jpOZ3MpYCSyiclkRa83NpCZ\ncrnMxsYqRqO15foXiQRpa9uSA0qOr1aOHXsJk8nAqVNvYzCYm8oJBQKB9bo1Zcuy3WAwMjQ0RqGQ\nZWNjDb3e2HAs5bIgVNLzVyoVcLlc+P3r8jkpyWKhUCSd1jI9Pdf0nJqhmaU5SL+tew2etbJHv5tA\nnNJZUDrnLSMMQYSE8uN+iVUzY41UKkUymSQcDhMKhR6oxP1R4QtFqIQpxb2QHREFa+YU93mw3L4X\na/nbnYeyPupO46dSKbzeAZ566iWWlqa4cOGM/CNLJBJNZV4gbaRbZSYA+vpGWF9fbKp1Fscvac51\n6PUmisUkkEWv11XdE62YTFaSySjZbBKbzYXL1UMsluL06Qt3dZ0eNFrZtSs3FPWbVvH/SjdEYZ19\nv5vje5VwlctlLlxYQqUqV/uLmejqclYb9dbKNhKJKE5nG0ajUW4Kmc1mKBRKaLU6ksmtomWQDCla\nPQfhsL/pa8PDu1hcvFXtCB/C620t3wDo6OgmFgsyOXmJkZHxhoyxxWJjbS0kX+96Z0PYakR4r4vC\nw5bLtRpfaX1vs9nkSP79nMe25G8bDwqVSoVYLCavEbeT+ikzP+VymVAojk5npFIpV+WuOlSqredy\nY2MNl6tdfk2JQiFPZ2cvu3fv5YMPXsfj6a42QN2qxRKbQo1Gw9GjzzA/f4NEIszYWBsGQ5nx8aP0\n9Iywvj7HD3/4hxw8+Cqzszp++7f/nexEpqyZrpf6VSoV1tfXyec7KBQqvPvu97l8+UNSqTgqlUTA\n/P4VEokUO3fua7h26+tLpNM5hod31vw9lYrj968yOjpe8/e1tTl0OjOJRIyzZ9/m3Xe/TyoVwuGw\n8cor32J09ABarUGW9/t8S3R29qLXS8FgtVqSEcfjIbxeiWBIxhNJ8vkcgcCaXKtVj0jET1ubF51O\nV9McuFwu4/f7WvamDIX8OJ3KNUVJZgzE41GcTme1tKLWhKdSKRONbjbdM6jVao4d+xI6nYr19TVS\nqUSDnHDrGDZalBlsHUtHRy/5fJZwOEw6nSKTURKPrb5X0WiYdDrBwYNPMTl5SR6nniza7e1MTNwi\nGAze05ounPeU2T4RPLtXYtXMHv1OY7Vq6vugHQaVxhrK8QC51j+bzT5WxOoLRajuJUMl6oqErK/e\n9vyztty+2++tr49SnoeQJ9afx53GllLNUmHms89+hWw2wccfn5Ilfa2atcZi4ZrNeP2PQHLYiaPV\nGuuOXyJS4oejUqnweLrJ5ZJotXlUKhXZbJL5+fMEAjfw+aaZmPgRarXUr8jt7uHDD68/UtmfsvdY\nvV27sGW9E4QTTqtN/sOcSG7dusXaWh61OofL1YdancbpdLQgVBF5QVSp1Oj1BvL5DG53uyx1EEXL\nuVyWWOx2hhQhRVHz1qa+q2uAfD7DzMwkFotZtqFtBdFkOhYLMjCwo+F1k8lCJJJsmOS1Wq28wIhI\nq6htexh1Vg8DQrZrs9lansedpKTbhGobDwrKdUetVt9R6ieeuWg0ytWrN7l16zrFYqka8JM+Izb0\nwaDk9ql8DWozUFLvIT3r68tks1lFLZa6xtbcYrGxe/chrl49jdNpR6NZ5aOP/it2u57Dh18hFJrn\nk09+SHf3IOfOBfn2t3+35tyUEDWx6XSaq1fX6e8/wPHjL3P8+FdJp4ucPv1TLlz4GfPzN7h06UN2\n7z6KRtO4Jty6dYGdOw81bF5nZ6/Q3T0qZ7Ti8TAzM9d5553/RiCwysrKTTo7e3jllV/k4MEXKJWK\nDA/vkhugS9dXivJ3dHjRaISyRtRjRuntHZL7S1YqkMvlWVmZr2aaGufAaDRMR8dWpkhJimKxsDyv\nFwqFmmvW2NBXQEW5LPUlEjW1xWJJrlmXzCqi6PXamn6VEqTjU6tVOBxuxsf3MjFxRiZBInMmpOlQ\nbulMLI4lk0mwb99BpqauUC5Xqo7GyWpbnK2+hktLc3R39zM0tJNSKcfa2lLNOOK6WK1WymUrCwuL\n92USIeZo4XYIWyZFmUzmntapVvbozca6Uw+qB+0wqBxPOXckk0lSqZRMqh4H3HnX95jgbmuohCOQ\n8gaJDcq99I36rCV/4jyUHajv5zyaIR5PotFIGRa9Xs/x4y/x8cfvce7cSazW1pK+eDzSYF2qRD6f\nw2azkUrFqxNW7cSrUqnRajVoNBp6enq5efMSer2LWGyT6enT2O0edu58jmBwHZWqyNLSJ8TjOXp7\n97G4+DOWlpYYGRlp+f2fFpWK1MS5vnhSaI3vt65ObPKFk6RwjEokEnKG8UFnSd96633i8RIdHVos\nlnbsdg1Go4lEIsLg4JZmP5/Pk83mcDhq77swH7FaLRSLRblpXzgcrMp3JFlA/aQcj0cbXCBB2oj1\n9Q1x8+ZlRkZG7+ocMpkCen3resZKxUAsFsPjaazHEi5UJpNJdjMUeu5MJlPTzLpx3M8mQ9UMrc5D\nNOgWMp/689iuodrGg4CQ6gg0U0AoXf2Uv9VMJkN39zAbG2ucPbvIE088TUfHViYin8+RSkXp6Oiq\neX6VGSitVsfS0hyjo2NYLFbOnXuPI0eeQ6vVoNfrEH2KoEKhkKerq4dYLMRPfvIdPB4Px48/STrt\nwWbzYLF4uXDh71Gr3XR1jfPmm+coFH6P3/3d/w2dTofoCyQkfaVSicuXZzAYhjEYTFQqFYxGMwcP\nnqBcPkYotMHExEnW1lbR6w0Eg8s4HO3YbC4sFjubm2uUy2r6+6U1S5JFZolEpMz76Oghzp59i3g8\niFqtwmAwYrM5+frXfwWjcSuoOT9/HZfLK5MvKUOSZ319no4OyXQinU5X9wZ6NjdXcTqlnk+iHEDs\nJ6LRTYaG9pBMpjAY9NXNt6pKStRN65Sy2TQmkwWLxUqlUpHnUa1WW81ARRgbO9D0+QmF/Lhc7ZhM\nJjmTKfY1xWKR1dWVpuZEYv5KJOJAmSNHnmNq6gqXLp3j2LHn0Wp18nEsLs7fdl8iXZ8k2WyK5577\nJqdPv0Eg4KOvb4hCIV/NdiHfI59viaeeehG1Ws2OHXuZnr5GT099CxgVer2Brq5BTp9+n74+6T4U\nCgW5nvpO7tXK2n2DwSAHzoUSKZvNYjKZGjLCt4Nw8bvdWPWSv1YQRhhGo5FsNksmk5H31jqdTg7m\n3y1UKpU8P2i1WorFojzevYzzWeLxOMq7gJJQKSF+eMKuVbmBV6vV6HS6z2Xz11aETXRpV0YBHvR5\nhELxGscdrVbL0aMv8OMffwejsbnzWjweQ6tVYzZbWtqF+v0btLd78PvXSKVSciRNRDWV/RY6Orxk\nMmmMxjSXL7/Fzp3HaGsbJBLZJB6PodGkGB9/iffe+yuy2XZSqRLvvPP+QyFUQo5YL6cS5PVBGZQI\nRyTl5lhsWDKZDEaj8Z4mz1Yol8tcvryK0ajHaLRiMJjp6nJVSVy8pkYuGt3EYrE3SEASiUh1sZak\nOFqtjlKphN+/it3uolgsUCwWZKc6rVZbzXA2X5QBBgfHOHXqbY4ePXHHc8jlMpTLuZpsZz00GivB\nYLgpoRIQ0TGxYEkR7i25gciEKY1cHjbuh7C1Oo9cLkcul5MX5fpgi/jvz9v8t43PP4Sr3+2ix0IW\np5T6CQQCIWy2NgYHxwkEVrl06TQezwB79x6mUqkQCoWw2ewNbrPKDJRWq2V9fYnBwVG6u/s5d+5d\nrlz5iGPHnpflf+JYlVmyVCqEx/ME4+MH+fu/f4OZGRO7dh1gx44TrK1N0dd3FLc7w8mTVzGZ/pRv\nf/tfVceryAG1yclZIhE7vb2SdE70whJmMipVB0ajmV/5ld+uyqyChEJBVlYWyWTiTE5epLt7hDfe\n+K+yvFCr1RGNBqhUdBgMWjyeIdzu41itTiYmTuJ299aQKYDV1RkGB/cq7kuZYrGA379SzYxpavYN\na2uLtLVJxyx+9xqNmnQ6C6hwudyywUI+n8dgMBAM+lqSklBoA6ezA41GQ7FYlL9PrCfJZLplzbRk\nOFHbf0qv18tBxXDYj8PhIJfLVoOK6uo5is8HZTXErl0HqFQqnD9/mqeffgmtVk8+n6+24Ogmk0mj\n1zcPkq2uLtPW5kGr1XLgwHE+/vgU/f2DWCzW6rFIz/j8/CwazZYDbX//CDMzN1hZWaSvb7Bh3KWl\nWWKxHKlUGpvNJje2Fde1Vd9SQdyV90js8URmtFQqyQork8l0T0HX2411N3btSghiJZUCbMn07oU8\nCojfqPiMlB0sPdL199PgCyP5MxgMsk5b+VAJJi5uDGzJ+sxm831ncx5lhkpZH1Vv3y7kifd6Hrc7\n/mg0KTumCej1erq7B0ilovj96w2fiURCLe3UxfH7fMu0t3ditVrw+31oNBoMBqOcCVAev1otmVDM\nzJzH5erE6x0FVFgszqqFqSQX2LPnZdbWrmMyOTh/fqrp998v6l0Sb2dS8iAhehIJbfGDdqmT5H5J\n+vt3kskkyecTuFwOIhGJPCknr1hMuq/1z5ake6+VUGg0GtLpBB0dnbKEUUgjk0nJzUkpu6hfMAwG\nY3WMOzsjLSzM0tPTj1arJhoN1b0qjWs2W1ld3byra3K7OqtEIlFjF/t5lsspz8PhcMi1fIVCoUbW\nKJ6fzzrTvo3HF8o+dWIeVM5LIssAjXVVUqQ/iMkkyZn6+0d54YWvksnEeP/9nxKJhAmHN3E622qk\nfkr3PL1eV+3vF6Grq49yucyBAydIp8NMT99sesyxWISlpWm++c3/GZ9vgWDQx8/93HP09Wm5des8\nVms3Op2BVCrA6OgTWCxjvPXWNf74j/+ccrksE5Pz5y9y4YKfri6p9kmZidPr9VQqFSYm3md4+CB2\nuwuPp4udO/fx5JNf4oUXvsHw8B6efPJVvvWt3+CVV/4HvvKVX+FrX/tfePnlX8Tp9PL1r/8K+/Y9\nVXXzc5LPZ1lfX2JkZFfN+SSTUZLJBD09/fLfpJooqZ6or2+w2svJKBNCv38Zh8NdY1OvUqnZ3PTR\n1taJ0Wio3q8tNz6fbxm7vbmMW0mKQNqsi/rgcNiP1eqorqFZ2X58636EGhQLYv0zm81V1YunocGw\nmK9CIX+NYcXu3Qfp6urh3LmTgLQxj8cjtLd3VclDSraNVyIQ8MnOw253B52dPVy7dql6LFtBO59v\nGa+3p+ZYdu3az/T0lYZzy2RSzM9Psm/fU1y/viCbUilNIlq577Vq6itUSMKCXKPRyM57sVjsnmqB\nW40lcK9mE5/WYVAZ9BABdovFIhthPA54PI7yLiAmC6AmeyOiSeLhMZvNLaMCn0eIjbRSy620b3/Q\nfbCkurJ8jbOQQD6fZ9++w1y+/BHZbG0WKhoNN6TmRX1XLidFLCKRTTo6uunpGSQY3KjK5Fofey5X\nJJOJoVYbSSbjwBaJ1GotRKOrdHWNYrN5sFod+HwxpqY+Palq5thX75L4KDbTImLXyqXufp0B33zz\nXVKpMqAjEFjH6ZRctCKRQIPOPBaLNNxXidyncTgaCXQiEcHtbsNgMCoKl6U6K79fclDK53MNiw9A\nMLhJR4eX9fWlhtfqsbIyz+DgDtravGxsrDV9j9FoJhqtbcR9NxASzGZ25bFY7KHX6j0owiYynkLr\nriTmAo+rPe02PluI34PSiAK2IutKI4p6OfSWu2kKs9kqr8V6vZHjx1+kp6eP8+ffZWlJapy69Tnq\n3ADV1R5V7dU+VkW0Wi0nTrzM6uokq6tLDWTsxo0LjI8fpL3dy549TzAx8T4qVZmXXnqKJ58cArLY\nbD0sL1+hXC5y5MirqNUefvKTCf7kT/6cbDbLzZszTE+XCYVSnDr1I5aXp+XaS41GkqzfunWRSkXX\n1IginU4yN3edvXuPVuXiRvl8bt26iNc70DDnzs9fp6OjT+5xJbC4OElX15BcnyVlhkr4fAt0dw/U\n9Ms0Gk1ks2lAjcPhIpfLywFaKSO4jt3uJhaLEAz6CYX8bGyssrw8z+zsLaLRCFNT11lcnMPv9xGN\nhsnnc8RiQdrbt1QAQrplMpnIZBJy/VQ9KSqXy8TjUdrbm2e+8vkcKlWZzs6ehgbDYv2IRIJy/ZXA\n3r1HcLvbOHfuJMHgZtVwwiMHCovFQrU2J0OlUqZQyBOJbNLZuWVasWfPIYLBNQKBDXk+LhTyJBIR\n+vqGa46lo6MbtRpWV2vXramp63R19dDR0Uk2q2dtba2pSUQz9707ZYmUgTOlBfn9OO8px1Kaaf3/\n7L15cJz3eef56fs+0A10o3ERAAGCB0gQPCWSIinJluQ4thQnNZs4a88kdmbmj8zUbNXWVKUqO5na\nyqZSqamdmZqdbLKVib2uOLbjxLEUWZYlUZREiqJ4AgRJXMR9dDf6vu/u/ePt98Xb6AYvkRTp5VOl\nUhHd/fbb7/t7f7/f8zzf437l0W+nMHi7xErOw5QX+uRCXo97/NJA/gBsNhvf/va3CYfDfO973wPW\nB8uDhvU9zMquvAonryQ/CH7UnULYbNUnU8JGLEF//04KhSxjY5c5ePCY9HoiEaGnp1YcQFxQgaoq\nXI7W1nYKhWZu3fqZhLVtFPl8jkQiiMvlAUrcuHEeh6ODzs5ejEYr2WySWMxPV9cwFksrudwKCwtx\n3nrrbbZv397wmHcKUbFPvmFWqVRoNJrP1cBZHMNarVaCcwmJ6jqc614KBJcuzWI0mllYGKetbRs7\ndnQDglGvfAMDgsKfx1OLD4/FQphM1oYk60QiJnWuRAEL4byLpFIJmpvbpPPeGMGgn+7uPny+ZeLx\n6KbGvuFwgEqlVBUuyTI/P8v27Xvq3qdQKKhU9ESj0dvC/jYLseK2kZ8kPpMipOFBF2cedAdM3Nzo\n9XqpYy8uXvF4XIIDioaQT+Np3C5Ek085N0qcH8VkSl6I2jjHi/xQ0NbJq5dKJbq7t2G12vnBD/6C\nzs4tbNmyFaVSUd34r6sBAvj9q7S2tkvnIhbc9u8/ysWL5zCZLBK3aGlpDr1ew5Yt/VQqFVwuDw5H\nKzdvXuTZZ19iz57tOBxWrl0zEg77GRl5k8HBr3Ly5Dd4443/xE9/OsLi4h9x/Pg32bbtCLt2aVlZ\nWWBq6iqjo+fo6Ohj+/ZhfL5FFhZucfz4qw0Lhtevf0xHx/YNyndCorW0NMPx46/W/L1cLjM/P87B\ng1+s+/vq6gz7978o3RdxXg0Gl9m+fX/N+xUK8HrnMZsdrKwsEI9Hqp2sJIVClvHxEfr7t+P1zqLR\nqKuKi8rq/QqQzUbx+SIUi6WqjHiZXC7NzZvXASVarQGj0UprqweXSxASSSQi9PXtwWg0kcsJRWER\n9pZKJVCrtZsa+gaDa9hsTdK+p1Qqks3mpO5SOp0in0/XXUeAoaFnuHDhNB9/fIru7h4UCiV6vaEK\nJxR4USIsLRDwYbFYa4SQtFo9AwN7GBu7xIkTLwOiP6ITh6OZUkmAUwu/J0tHx1Zu3rxCe3sXSqWK\ndDrJ6uoszz//FQBsNjfXr8/S0dGBUqmUEisReSSu67lcTiriwZ1hd6LyngiTFOf2ZDIpIbHuFi63\nkcMkdmSTyaTE1b0X6J34G0WUSj6fl9Z+eddUjM3EMDZ26R7neOITqmKxyOuvv85/+S//hbNnzwLC\nDVldXaWtre2J6kY14keBsGA9jIRQDl8SI51OU6nUPzTpdBKNRodWq2Pnzv18+OHPWFlZor1daJML\n/lT2um6AmAgGAj6cTme1gmfEarXi93vp6Oiq+y6AyckbtLW1E41GUSh0uN17mJkZ48aNMC0tLvL5\nLKmUn2KxiMlkxelsZX7+OteurVIul++6RSySaKG2s6lWq+85UXkUsb64rAtYyEVWRCz+ZmPl1q1b\nLC9HsVp3YDJpaGlx4XAI+HZh8VuX6RUqXvG6TpTgN1YvkZvNpimVyg04UgpUKhW5XIb29g6USlXN\ntc5kMmi1WsLhAN3dvVVvlRn27NlPo1hamqe1VSD5ut1tjIxcoFQqSgmePCFRKo135FHdKTbyk1Kp\nlARjjcViaDQayd/lcZ74xcRco9EQiUSkv4tqkmbzRiWtp/E06kOEQUOtqp+4psjXsEZQP7H7r1IZ\na14TPwug0egYGBgkHvdz8eJZ9u17psb4V6EQFOEikTUGB/dKc5644WtubmXbtu2cP3+KY8deBpTM\nzo5z+PBzAFJXZnBwmE8+Oc3CwhRbtmyjo8OD0agjk/Fz+XKI8+f/gc7Oo7S0vMDCwtt88MEcWu1p\nvv71vSgUCjo6unE6XQSDfpaXb/Hzn3+ftbVFDh36Emp1fWFyZWWGaDTK88+/UPfaxMQlPJ6+OrPd\nxcUJjEZ7ndm537+EWq2X/i4+x9lsilQqgVKp5tatCeLxMMlklHQ6xq1b47S3d2IyaTEaTdhsbWi1\nBsplgfP08su/XlckWlycRqlUceTIi3X7k1DIi8FgYc+egwSDXsLhIBMTXq5cSWE0Wpmbm6S/fwil\nUoHRaKomRdmq/9QiBoOlWlhVsy4gIkQ4HKCpaT1ZEgyGVRQKRbLZDKFQAJPJQjKZQq/XVcfheiJy\n4MAJ/vqv/88aTy2lUki4y+V1ntby8iIWi418Pl/j/9TTs43FxRmmpyfo6NiC17tEX9826VyMRlWV\np5qntbWdqanrTE7epK9vgMnJ67S1dUnqhAaDCa8X/H4/Hs+6H9ZmIhFi3ItImrhGiTwmsXBxLwIR\n4l5I5A7Lk7REIiGpR9+LSMSdkkc5CkS8JmKIXd8nJZ7ohOqNN97g3/ybf8Pi4oSfJa0AACAASURB\nVCIgTLTf+ta3+Nf/+l/T2tr6SOAsn7VDJeJGN0qNii3cRhW+hxnJZEpS+JNHLBbGZBImeq1Wy+Dg\nPq5fv4Lb7SGTSVcFCLQ1v0EkPgKEw8Ea6VSPp5PV1cWGCVU+n2NpaYaTJ7/E5ORNgsEIlUqFnTuf\n4datEZaX51AqFRgMVhIJPzZbM6lUitbWAaanp5iZmaG/v15KWx7ihrhQKNSMkwctNPGwQi5gIU6g\ngLTJ34yk+vrrbxCJZNizZy9+/wgtLYJZrAjHkEumx+OC6eZG/5d4PITFUp9QRSIhzOZ6AQugKpev\nw2QSki2BBJuSzjmfzxMIeBkePojJZObChTPs3j1cd6xKpYzXu8Qzz5wAhEqi1WohEPDXQDbEMJut\nrKwE2bmz7qV7DjEhEUnFG5WIHpQi46NUEbTZbGSz2Sdq0Xoan1+IsCJxztxYTRfV4oC6jbm8g5JK\nZdBoanm6ch8/UQ10aOgZxsY+5aOP3uXAgSMYDEbpmKHQWrWQIWyCN6I3urr68fu9jIxcwOFowWo1\n43S6axAgRqOJ/fuPcPHiRzQ3t6JS6TCZTLz22ivs3budv/mbvyYSmQeasduHCYcv8/77NzAY/h++\n9rV/JXXiWlo8GAxaIpEV9u79Eul0hnfe+QE2m53m5jaczlYMBgtjYx8zPPyFujU9Fgvi8y3ywgu/\nUXe9Z2fHGBg4WHcvFhfHcbm6WFvzEo9HCQR8pNMxfL4ZEolUlRNmxWJpwuNpx2AwUyzmefnl/6nm\n+yuVChMTIzgcLgmlIYoJKZVKiackzH/rYgbFYpG1NS9mswOLxY7RaKGjow+j0UilArOzN1lcnOT6\n9U8ZHS3j8QjdRrvdUV2nIthszdXNtaJ6L1WISVE0GmiAPFCg0ajJZgVBCqfTRaUi8LyUShU6nVZK\nrBQKcLnayGaTzMxMsnXrunqtkFgZKZWEpHzr1mNS50xEgwAMDR3izJl3sVjsxOPhDWgNUZBJTaFQ\nZNu2QSYmruN0upmbm+QLX/gqAp9X+D0Wi5uxsVu0trbWze2NRCIAaZ252zXlTsp7RqPxtnO9vEu0\nWZImohruVcXvTgqDG73jxHjc92LyeKRnevLkSQwGg2RMuWPHjk3f+5//83/G4/Fgt9v59re/3VBJ\nyGazsbi4SH9/P//tv/039u3bx5/+6Z/S29v7MH8G8Nk3O3LBg0b8qI1QiEcV4XACna4e+hOPR6SE\nCqC1tQuDQc/16yOsrfkxmYRKjKjcB7UPQjgcqME6t7VtIRj0UizWc4BmZ2/hdLowGs24XB4KhSSF\nQgaFQklv7xAtLa0EAl5UKiPR6Ao2m5NUKsK2bc+Qy8Hrr7+z6e/bKDSxUf78YQlNPKyQw9LEEEmq\n0Wi0zo/o9OnLmExOmpvdlMuwZUsLoCAaDWCx2Goms3B4DYuliWg0ytzcFGNjV7h+/QozM9NVSeLa\niEaDWCyNvT4ikUCNiIXoiwLCxisWi6DVqqlUFGi1RhSKCmtrvrrjBAJraDTKGpiHw+FmbW1dKGW9\nyKGQ/KjulUd1N6HT6RryrBpd93uJR5lQiXDAJ0VF6Wl8flGpVEilUjUJk3yu3CgqtHFMyb2j4vFM\njXqf/DWNRkM0GsZud6JWq9m//zmMRj3nz39QU7Dz+1elOUWEUYkhJk27dx8inQ5x9eondHdvrxGP\nEPlOTmcLXV1buXTpgxpIYX9/P9/+9r/k4EEL7e2VqlDCFrLZLK+/fpq//Mv/jXDYR7FYZG7uGhcv\nvs+ePc/zzDMnOXbsS7z88jfo7h4mmy0zNnaJ73znTwmFwszPX2Ns7GNmZq6xsjJDILDCxYvv0d7e\nR6lUIJWKk0xGicVC3Lx5gXg8SaGQZ2LiGlevfsL58+/x7rs/5uzZd1hYuMHNm5/g882j12vp6dmB\ny9XBr/7qb3Py5GscOPACAwPDeDxbqn6CLXX3RaFQEI8H6ejoll4TYVq5XI5IJIDT6ZLEK5RKJVqt\nsKFOJgUTd3lhUlArFDhhg4MH+eIXv8Yzz5wESpw//x4ffPAWS0vzZLNJWlvbpc6m4B2VplQqVjfu\n0Yb+VeL8FYsF6Ozslox0y+V1b8hSqUgg4Mdut3HkyItMTY02FNNKJKIYjTpaW9vqeFr5fB673YnL\n5eHTTz/C6Wyp6WDJriAajYb+/u3o9VouXTqL09mCQqGSzgWE4l44XCQQaCyUJBeJkPun3a/ghChs\nJUK5C4UCsViMZDK5Kfe6kamveCzR81A8Vjwev+2xNgvxN1osFumay5PIRobCT0o80p2jQqHgz//8\nzyWTs/Hx8Ybv+8UvfsGf/dmfcfr0aRYWFpiZmeGP/uiP6t53/Phx3n//fSYmJvj93/99DAaDNFk+\nrupVjQQPHoVy3N1GNJpsiGlOJKJYrTaZ0ESOgYG9LC5OEQj4sNud6PV6NBotG8d/Pp8jnU7UTI5G\no6De4vev1ry3XC6zuHiLvj4h2Xa5WslmU5RKMek9PT27MJvNrK2tEY2uYjbbKRRyOBydGI1mLl+e\nrdtAixPlxusul8R+kh7cjSGeuziOxIlKIH8LhNeJiQlWVsIcO/abpFJBDAY9TqcA54tGgzUqTqVS\nifHxa8zOjnPlymlCoRUqlTzlch6/f5GbNy9z6tQbzM1NSwTheDzSUKhCPL5cBVL+XOp0etLpFM3N\nHknAwul0Mz09ISnrieH1LuFyddQc2+1uIxSqXyzXr4uBWCzW8PX7iY0JiahsJCoyyq/7/QqHPMzY\nLGF7ksf/03j4IVaWN+NGyWMj1E/endLpdESjKUlJVg71Ezfi8XhYUn8rl8vs3fsMbreLc+dOkU4L\nkKhg0CdxPjd2XMT5X6/X09u7g2BwEY1GR6lUqoMHAgwM7CaTSTM3d7PaDRD+3t7ezZYtfRw/3ssr\nr2yjrc1BuZwnm1Vz5swof/EXf8B3vvO/c+vWDY4e/SqdnT3SMTUaDZ2dPQwPH8FmszI8fJJXXvkG\nbvc2FAoT4XCMubkZPvroLcbHx/F65zlz5k3OnHmTc+d+wYULpzl79ueoVEr8/nlyuQQGg462NkG0\n4siRL/HlL/9zjh79KsPDJxgY2Ifb3UahUJQU6+Th9y/ictV38cvlMqGQH5fLg1arrYF0ZTJpotEw\nZrNVmufFxEqQzY/T1tZRk8wKfJkc4fCatObb7UK38aWXfoP+/h3Mzd3k2rUrhEJ+CV6mUIhc7Qwr\nK0sYjYaGCUylAtlsjlwuTVOTq8ZgWCxspdNplpYWsNubsdkc7NlzmCtXzlatO9ZjdXUFp7O1xs9P\nnMPFxGr79j0sLk5vyuldDwU7d+5henqM7duHas4lnRbWAZOphRs3Zm5/FNlzI/KM7ldw4l6U9+QU\nkEZ70Dsd634TK7PZXPN9yWSyptj9JK1LjxzydzcD4Xvf+x7f+ta3JHGB//Af/gNf//rX+ZM/+ZOa\n9ykUCp5//nnp32azmVQq9UjI1feasG3mHyXCIh71oGl0/gJONoPLVd8dS6USdHaaJWgZgMVio729\ni5mZWxw+fFT2GxQIrW7h2AK51FbXHna72/B6lyUeFsDq6jJarVrChWs0Gpqb3UQiyzQ1rcP4enp2\nMDt7k6WlSXbtymEyWchms7S2bmVxcZSpqSkGBwcl/7HbXfeH0b34vEJOUhVb6qKv0h//8f9BMqmi\nvb2Pmzffw263SLwZuSDF2pqPkZFzrK0tMjR0hP7+XdVFT1BbXF1d4JVXfoOVlQWmp0dZXLzF8PAz\nJJMx+vt3NTyvWCxCX99g3d/FMROLhXC5WiWj4K6uPs6efVciv4uwh7W1FfbvP1pzjObmVlKpBLlc\npmExQKk0EApFaGm5vbnj3cZmprh38oG6W57V5yHL/iQtWk/j0Ye4oZN7OW1MmDaK+chDLIysFxwK\n2GzCZlnk/gidIRH2FK/haSqVSvbufZYbNy7xySenOHToBLFYGIejpQ6iLfKjxOOFQmsMDg5z5cpZ\njh17WYJpydfAQqHA0NBhLl36kK6uPsnAfmHhFul0krGxT+jo2MqhQ25crgKXL18lm21ibi5Gb+9e\nzGY7n376Fp2dfXR17ZDQHOVymatX3yeZzHDkyJfQanU1Mt+pVJyPPgrw9a//W5zO2vlpcXESlUrF\n88+/VsdDm5i4yP79L26Qa9dx69Y4bndH3fUvl8sEg6ts27a37t5Go0FUKp3EfZWvIQsLK1gsjmoX\nIVMjjJVIRNBqDVUYd0VKtsX77fd72bJlADnsTalU0t7eAyiqm/E1Tp2aoqdnJ319A5TLpap3lB+t\n1tjQO0pQJPRjtzfJ7rtgpKvRaCRIdjDopb9/J5lMBo+nk3g8ysWLH3H8+MsS3zYYXK2BAqrV6iqE\nryCN2Xy+iNVqY21trea3NIpCoYzFYiSbzeJ2t0nnIkLcNRodq6urhEIhnM7GMvTi/QIhoRJFkT6L\n4ISovKfX6zcViJAb+t5uPZAfS+RCif/pdDopKb2bEJsJICRS4m9PpVLS9zxJa9Mjb4X8wR/8AS6X\ni+eee44PP/yw4Xtu3LjB0NC6s/bQ0BBra2s1ROpGYTQaJdf2x6FDJS4y6XS6xj9K7oO12Qbr8zh/\ngQypqZu8xWq70ShUFMWERKfTsWvXPrzeedTqzSGKoVCwxixWDAH2t1pTJVlenpec48VwOt0Ui3Fy\nuXWypsXixG53US7DzMxVzOYm4vEInZ07yWbz/PCHb0jt/0a+XY+7gMBnDTl8wGq1olarmZ8P099/\nnGw2x9raIt3dbdI1EOXOr1+/wuXLp9mxYzdudxs9PbWKidFoELNZqNS1t2/h+PFfxeNp56OPfs7a\nmr/hfS6XyyQSMZzO5rrXxBAgoa2IuHSXS4D7RiKCx1SxWMTrXSWTSVUrhevPheBZ5sDnE7qd4iMj\n3l6j0cLq6kavqs8emz23jfysCoUCiUSCeDxe13XbGI8S8vc0nsadYqOqXyNlSzEpahRyPyq9Xk86\nnUahENYLUUlMPK4AP4tJimxiiDYeu3YdwO128e67b2AwGCXvOjHk/CiNRkOhIGys9+9/DpvNwujo\nhTp4oJiANTU56O3dwdWrZ8jnc5w9+w6Tk5fp6enltdd+h+bmFl588TW++tWv8cUvHsXtjlGpWPin\nf3qdYHCJoaHnSaezfPDBTzh79qdcv/4JH37492QyBSmZkke5XOby5Xfp7NxRl0yVy2Wmpi6zY8eB\nuud0ZWUGrdaEw9Eidf0E42QVKyuztLV1192DSGQNtVqP1VpvsLu2tlKde2tDSJrCuFxt0vUSbFXS\nEufVbm9BoYBSqSzdf4FnmiWXy6LXG0kmRZjo+vgIhdbo6Ojh2We/yOHDJwmFlnn//X/C71/FZDKT\nTEZxOls2eEeJ+4QK4XCoobqfQqGUvC2z2WR171AklUrR0zOAXq/nypXzAFXJ9whud0fdcTQaDWaz\nGb1ez+rqEt3dfeRyKSYnxyUIX6NYWJhm9+4D3Lp1nUqlglYrcPLEsSyMTRNXr97YtKOz0etQLNaJ\n9hcKhUISnEgkEvdk4yGXbReTMdGGRRTDuNtkSORx30kC/m5CPgfIZeCftDXqkSZUf/Znf8bs7Cwr\nKyv83u/9Hl/5yleYm5ure18ymcRmW3/wrVYrlUqlKrW6eZhMphqPlYcZt0t4NvKjxIH1uPtgCRUm\njSSUIbTVc1VBAW11AdPVyOQqlWqczha83sVNjxuLhWqqcmJYrXZ0Og2hkIApzmYzhMM+Ojq6a97n\ncnkolZI1CZXN1kQ+n2bbtkPcunUBjUZfxYi3YjY3c+PGqjReRGWah+Hb9SSEWq3m9OnTxGJKDh78\nEvl8mlwujssliHmk0ymSyQSTk9cJBBY5ceLLOBwuKhUlRqPQ8ZF3kuTQB6VSybZtu9mxYw9raz4W\nFmbrvj+ZjKNSaWq6R/LnJp1OUqkU6yAVbW1bCIV8mEyC+affv4LD4ZKw9vJF2uEQlLYahcFgIhiM\nPzD/qLtNSOR+VuJC+KB4Vp8lniZUT+NeQtxEbwb1K5VKDSHW4v83+lEJa7SmprsiQv1A6GZbLJYa\nLx65/PiOHfuAksSJ2dhpgnV+1OrqMnZ7E3q9gcHBAyQSAVZXF6XPbEzAduzYQzab4R//8Xuo1QqO\nHv0SW7YM0N+/Hbu9henpETyeHn791/8lL730NZ57bit2u4s33vgpf/In/5xUKkpHRx+BwBpnzvyC\npaVFFIoiy8vTVQ+o9RgZOY1CIajmbozp6RH0entD6N7s7DV6enbW8M50Oh2xWIhCoYDb3Vb3Ga93\nnpaWergfQDDopaWlPqECgUfrcrXVyVwXCgV8vmUsFlvNfRTFFZLJKA6HS4KeZ7NZUimxuFmpMfR1\nOFo4evRldu8+wNTUCB9/fIpoNEhnZ4+USAveUckq37xMNBqoUz2URyDgx+FoqUkcCoUCAwN7CQa9\nTE+P4/ev0tTkuK2wgqBQvEpbWxc7dw4zPj5CPJ6QIHy11ypEJpNg//5jKJUVyZdKTPLMZnO1yNnE\nwkKIpaWlhr5MjfyYhONszmVKJBL3BLlTqVRYLBasVmvN9YHahO5uj2U2m2uOlc1micViNV3L24Vc\n4U+n02Gz2SQKzJMUjzShOnjwoLQ5+uY3v8nRo0d566236t5nNpuJx+PSv2OxGAqFAotloxxzbcgT\nqs+jw/Mg+VEP+/wbHV94KJWS2o2ImU6lEthsjjoScrlcJhz20draQSCwSjxez1MRzPvCdRU4MVyu\nNlZXlwFYXFzA6XTV+EEAOJ3NKJUVstn1LoNarUWr1WG1utHr1fh8yyQSEXQ6K2azg2AwzeXLl6UE\n9kkSmngY8YMfvIlGY8fpbCWbjWK1CpWlcrmM379MMBgkl0vx3HO/gtFornKq6jHj8Xi0hgslhkKh\nYmjoAFNTo8zNTde8FokEGnauqp8kEPDXSNuK0dm5Fb9/mUqlgl6vJxYL0dnZIxGQs9lMlTycw+Vq\nJRxeq36yNmEQ7r3gR/V5hCj8YLfbG/LbNuLPP48O1dPk6mk0iruB+okJ00YYHdDQjyoeT6FS6eug\neWLEYhEMhsZrvZg02e1OWltdXLz4kZQQlUqlmuIlCJxLMSnRaLQcOHCMiYkrJJOJmgRM3rWqVCAa\nXaW/f08V4qZGoVCyd+9hvN4lfD4hIXvppVfp7Ozlt37ra/T39xOPF/jJT/5vrl79mI6OAX73d/+A\n3/zNf4vHsw2fb5lTp37EBx/8mOvXz/Hxx28QCoU4fPjFOq+qVCrOzMw19uw5VPf7A4EVcrkcnZ09\nVYPc9c7ewsI4Hs+Whmvd2tqKZDUhj2KxSDQaqPo91r+WTMYl015RxVRcT2OxMFaro5psl1EolFUO\ntYJIJIjD0VKFQWslflQmkyGZTBGJhOoMfT2eTp5//lWMRiO3bo2zurqETqfFZDJLSrOFguBflU7H\n6zwT5REM+mludqFUKtHr9ZhMpqoVipY9ew4zNnaBiYnrDTtz8sjlskSjIdzudrq7+7Db7czOTkkQ\nvkxmvRMzPz9Ne3uPVGScnLyO3MBe9MIym80YDG5u3Vq4L1NfOZfpXgQnGoWovGexWKRnVxgTUcms\n+l6PJSJi5GvcnY61UTJdRNg8afu2z/VsRXWXjbFr1y5GR0elf4+MjOB2u2lq2mxTJoTJZJJwmI8y\nRI5KOp2umaD1ej1Go/Ezyyg/7BATwdXVAEqlWrbIaao4WQFmlUjEmJ+fY2TkBr/4xS/47nd/xPe+\n9zPm51dxOJxMTd2oOW6lImzABf6IseF3t7Z2EgyuAODzLdLR0VP3HqVSicvVSjxe2wUzGq0Ui4qq\nHKzgwJ5KJfF4tlIoKPj442tP3AP5MGJqaoqFhRjbtj0LQDA4S2dnBzabDZ1Oz5UrF6hUSgwNHZEw\n0dFoY6+pZDLeMPkROFDtPPPM89y8eaVGbEQ4Vv1nksk4n3xyhu9+90e89dYp/uqvvs93vvP3/M3f\n/Ij33vsZyWQMi8WCz7dCLpchlYrR3t5dhWIYUCrXVZnUal1VHSte9z3xeIQbN24yM1PfPbufuN+E\nR+QmiApH4qYvl8sRi8VIJBI1almP85zxNP7/ESLfAmjoyyeOV3Fsi/OtCOUT10N5IhaJJNBotFIi\ntHF9jMfDEocJ1iG84vcJXN8Ix469jEoFly+fq/kukeNTKBQIh3243eudGafTTU/PVi5f/rjmWROf\nxfHxMXQ6Bfv3H2ds7BNUKrX0mwUltz1cv/4JSqUKvd7Ivn0nKBRy/PZv/x4DAzuoVPTcunWF0dHT\n1aRplZ6eAY4ceZlXXvkG3d1DTE5eZXT0CplMlAsXfsGNG5/i9y9I13l09AO6unY2nH+np6/S07OL\nQqEoJapqtaZq8jvPli31diHJZIxsNtOwCxUKeTGbmyTz442vmUy2mo6kQiF4CpbLwvfLkURQqYp+\niKgUl/R+EcKpUEAkEgQUlMuVus2/UqnEbm9m//7D+P1LfPDB26RSCQwGQzWxUhMKBTGbzVX+cw45\nlFCMcHiNlhZPzXFFmoXD0cy2bXsYHb2I0Wi5LYd6ZWUJh8OBRiMUk4eHD+P1LtR4V6ZSgljE6uoC\nvb0CRL69vbvamaxH7iiVKlyuVj79dEyiqMg7Opup3dUf5+4FJ+4UcssBkeeYTqeJxWJ3hKhvDLVa\nLa1xYmIlHqtRYiUioqCee/mkrYGPbLcZi8V45513JHfp73//+5w5c4ZXXnml7r3f/OY3+R//438w\nPj5OJBLhj//4j/md3/mdO37H59WhEgnocHf8qMcpRDiH0DpOo9cbJX6UUJlTEImECAQiXL68zNKS\nlXy+D5vtObZu/QImUzd+fwtXr64yPX2NdDpZ85vD4SA2W2MpbQCn00WpVGBtzUcyGa1Z/OTR2tpJ\nKuWjVCpK3DQBnx3BbG6mubmZUilPLBbG5erGbG5hctL7uXUl5CFCIuTwz0cZP/7xG8Tjebq7hwGI\nxVbo6ekCFExNXSObDfHMMy+g1Wqlc11b86LXmyiX15+ffD5PJpNuqOSXTMax2x3Y7c3s23eEK1c+\nlnymEokodnvt5iAaDfGjH73J++9HCIW60OleZmmpCZ9PQ6nUzuKiig8/vIJCoWF1dQmfz4vD0Sx5\njGg0Gkwmo+SroVQqsVqtzM/P1ginhMMhzpx5h5aWVh4X7RGx+maxWKpJrbAYijwrMR7W3PW0Q/U0\n7ibkJtZy8rgYouAPrCdMciid+BxuTMSi0QQKhfBvOdQPhLEZi4Wx2ZpkXauKdMxSqUQ8Hsdg0GMy\nWTh48CSZTJyRkYtAbafJ7/disVhRqeQJAWzbthuFIs/4+Kh0fkLHJcL8/AS7dh1iYGA3uVwWr3dO\nUrTL5XK0t3dhs7UwOXkJEISV2tr6CASW+OY3/xd27twD6PH5Frl58yLvvPND/uEf/isXLrzL2NhZ\nbt48R2/vHv7Vv/pDXnrpG2zZMkSxCOPjo7zzzt/ywx/+JyYnb6BWl/H7F8nn1+eyUMhLLBZhy5Z+\nikV5ogpe7xw6nbHGmkKMlZVZ3O7Ohht0n28Rp7O+OwUQCKxu2gUSFfzqfcaypNMpIpFwVTpcUAQU\nCrRCYiXc32aKxZLEL5evi5FIiNbWLo4de6XKz32b2dmpalJkJB6PSn6JcolzcZzk8zmSyRgORz0k\nUOBRG2lt7cBsNjE7O7XhGBuvz7KkKqtQKLDZHLS3dzAzM1GF8AnPxMLCLDqdAZVKLc2v27YNcuvW\n9YbXb3LyJvm8klAoKkHlxI6OyGW62zlZFG/4LFwmOczPYrFIynuiQMS9yrYD0hpnNpurSXi5YZLW\nCOIozjlPWjyyhKpQKPCHf/iHuFwuWlpa+O///b/z+uuv09fXx9LSElarleVlAfr18ssv8+///b/n\n+eefp6enh61bt/If/+N/vON3PAoOlZwfJY+HyY96kBsrMRkRB7G8vZxO57FabTU8o2DQx9mz5xkf\nDxEI5FAotOj1FoxGOyqVnkQiiFYbxecLcvbsLH/5l9/lxo1RaSEIh4MNJ3l5NDe7uXbtMk6na1M8\ns8vVSrmcIp/PVCtbZSwWB6lUHIfDQ6mUwW5vZnz8Gk1NHrRaNbEYnDp16kFduvsOEQIqtr8fRlK1\n2RhJp9NcujSPxdJMS0snpVKRTCZAd3cvS0uzrKxM43S6aW1tx2QySYWAZDKO0WiSFm5BWELwImtk\n3JtIxKT77PF0smVLH59++iGVSrnqJ7JOIE4mE3zvez/G73fS03OC5uY99PUdpb3djV4fpaOjn/37\nv8rWrV8hkWhlcnIMn2+lpuIohKLqWG/CaDTR0uIhHPZL1zeVSvLJJ+8xODjMzp37WVt7MNf+QULy\nRGKvnGclRjwefyg8q43n/7hZSzyNzz8ESex1+JDcwFd8XUyYRGU0WK+qy+F88kSsVCoRi6VQqzV1\nUD+AeDxGqVTAZLJKSmyVSoVyeZ2nE49HJEECtVrNwYPH8fnmmZubrqm0+3zLOBy1sLJKBckfaWFh\ngng8Kq3XN29epaurB5PJglqtYu/ew4yPXyabFbyExGuxf/8RvN55QiHBJ2/Xrn1kMlnS6Shf/vJv\n0d+/FYvFWe2YKUilipw9e4obNy6zdesQe/ceQ6VSo9cb6OzsYWjoWU6efI19+06g09k5ePAVUqki\n4+PXePfdv+Ptt7/P2bNv8s4738dgsLG6ukQmk66BRC0sTNLZua3hvfT5Fmht7Wr4msCRagx7C4U2\n5ymFw36sVqfUnZQjcSKRYDWJVUjXTJ5YJZMRXC6PdO9F0QixexGJBGhpaUWpVLJ9+xDPPvsCMzNj\nXLx4lkKhUPXFaqkm4yopkRPFL/x+7x25UcGgj717D5LNJllamquRSRc7nYVCgVDIi8fTUTP2d+wY\nwudbIJGIVeGEZvz+ZTo6uikUCpLsd0dHD+VygZWVhZrvTqeTLCxMcuDAcaamvOTzeQl2Jz9nsQh7\nt/PzZ+EybZRM12q1Eo/ps8i2y0Wa5MdKpVLSseSiYRs/+6QlVY8soWpuSuHCNgAAIABJREFUbubC\nhQvEYjHC4TDnzp3jhRdeAKCzs5N4PE5HxzrG99/9u3+Hz+cjGo3yV3/1V3clD2kymR6ayl8jfpQY\nBoPhgftHPeiBJOLFRWdq+cMj+ueAumZQJxIxrl9foVLpYXDwRQwGHePjp/B6Z5iaOs/ExPsoFPDs\ns7/Jq6/+rwwOHmN8PMUbb0zwne/8kOnpG1Lr/3bhdnfg9y/T1lZPwBUW0zIGgxGtVkk8LghYqFQC\nNKBczmOxtJBM+tm16xBKZY58vojJ1ATouHBh4oFdw7sNcazIQ6VS1Y1huQLhg4qN4+b06dOsrsbw\neAbQaHSEQkvY7WbK5RLXrn3Cvn3Pkc/nJI6TeJ7lcqkmCSoUCni9yxgMZjZCLARRCQVGo0n62/bt\nQ2g0Si5f/gRQYjQK8uzFYpG/+7u/IRRysXPnl1GpzGi1GjKZRbZu7WB4+FeZmTlPPp9Brdbi8QwR\nieiYmblBa2v9+BBDpVLR2dlDOp2QFqXR0Ys0N7twOtsolUoUi6oabubjFCIkRQ6hkWPQk8nkQxXV\neNIWrqfxcEM0PofGUL9isVgD9RND3qGC+kQsGo0yPT3L2pq3JvkBIdmKREKYzRa0Wk0Nt0hEJggb\n8vXiTaVSQaVSc+DAc8zNjRMIrAvTrK2t0NLSJm3khRDgRQaDif7+HYyNXaBUKhEI+IjHQ3R3C5At\ntVpDa2sbra2djI19UtOJM5nMbN++j5GRs5TLZVQqNfv2PcfU1AhWq51Dh16itbUVs9lMNOrD4bDx\n6qtfZ+/ek0xNjfLuu3/LwsJkzR7C719gZOQMR478CoOD+9i//zlOnnyNL33pX3Ds2K9hsbRQKmnQ\natVMTV3h7Nl/4p13fsjp069z5szPmZgYpVIps7bmI5NZL/am00mSyQStrfVCFel0knQ61RAKKPCn\norS0NO5QRSKCETysQzY1Gk21gxTBZnNUha2yNcgMQcUxQnOzG61WtJJYVxAMh0NVs+B1RViHo4UT\nJ75CuVzgww9/Tji8htPprhajRO8oFZVKmWw2w+LiXBUVs/neLxDw0d7ezaFDJ5idnSSfz0kUFEFA\nI8XKyhJWq72O063XG+npGWBs7AogcMzz+RS9vQPS2pPP50mlUnR3b2Nycqzm8zdvjtDR0Y3V2oRC\nYWd2dh5Y7+iI+8j7hd3dD5dJDrkTnxXx2bbZbBiNRklUKZlMSvD0uw35scTESjyW2JHb2O18Euka\nj9yH6mGG2WzG621s8Hk/IW7mRR8BMcRNp1ihe5w3I2IiJZe1FTP/crksQS4EKdv1SmI2m2FsbA6l\ncitNTXmam7uALsxmFx988P/S1tbP4OBL3Lx5TTKEffbZX+fWrT8gkcig1fbwgx+8h07n5cSJelin\nPJqaWvB6l2hqWk+8xGsvYMWFydjtbiMYnKe1das0cZlMJkolgayqUimxWKxMTo7idveQSCRYWAgT\nDAZpbt5csvtBhah2tREXLqoLajQaCbICSPflXjyK7jXeffciuVyBtjahehkKzdPW5uHixY8YGNhV\nhUCYa5K9WCyE2WzDbLZU5f6FiTMeD6HVmkml0mi1WjQaAX4XiYTqBCwEvPlR3nrrh9jtzUxN3SAS\niXL+/EcsL2vp6dlOMrlCOl1BqcxhtYLT2YVCocBud7G0NM7WrftQqTTYbIMsLLyN2Wy97W+1252U\nSgWy2Qw+n5dsNsGBA8eoVMrkcllSqTI+nw+r1fqZJuuHKRohP6bFInirFQoFyc9ErVZXDbQ19/39\nTztST+N2IVp93A7qJ1fu2ywx35iIiV0vm83J+PhlvN5Fdu8+gNlskdapRELwnxKfT3GTK+dbxeMR\nurq2AKJcO9hsDvbte4arVz/myJEvVv9exmptQqvVSOufXNWvr28X4XCAiYlRYrEonZ1bq3OwEq1W\neL527drLO+/8lObmZVpbu6SuWXd3P8vL80xOXmbHjoPY7U56e3dz9eoHPPfcq8RiYdLpCJOT4/h8\ny2SzWXp7t3PixGusri5w/foFxsc/ZWBgP7lcmvn5cYaHX6iDvAtcbCOBwALHj39FUsvV6/WUSgVi\nsRCjo2dpanITiXhZWZkinU5RLlcwmazEYhFKpTJLS3NYLDas1iZprl9bW8bp9DScC0MhL0ajrU7q\nXRwf0WiE4WFnVU1xfRupUEAyGaG1tUPyFCuVSmQyGdRqgXuVy+VpanKgUChRKitotVrU6grFYgGv\nN4jBYCadTqPTaatjTxiDhw8/z4ULH3Lt2gWiUVEcSSH5ihUKgu9fJLJGR8cBUqk0er3oYbU+LguF\nQlVo4jm0Wj19fQNcu3aREydeplQqSaayi4sz2GzNdeMaoL9/F++99wZ+v5dAwI/H0ykVFsRjlEol\nmps9jI+Psrg4S1dXD4lEnLW1ZV544auAwOkbH5+ir6+3rvgg+k+JHZ1sNit5T93N3C9ymcRCuvhc\nZ7NZyTNxYwGkEbpKlG0XpOizEsUlkUhUk2jDbbuBG48lepyJ3lpyARvR5wzuXr79cYon74xvE0aj\n8YFwqOTdHDlJUORHiQNIXkl4GPFZfkOjjppSqUSn00m8E3kIA1t4KEqlIuPjt4BeSiUlBoPQeSgU\ncszPj9DffxiFQkE0GpJeA4Fs+cIL3yKXW8Tt3onH8zVWV0386Ed/fdtzDYXWaGtrJxQKSIvnRqVB\ntVpDR8cWYrEV5HOJyWQnmYxjsbQQi3lpbu4kl0tTqWhRKEqk01pOnz59z9fvbkM830ZjRQz5tZaP\nm0YeRfeKU75deL1epqfXsNs9NDd3VStey6TTKYxGHX19u6tqfrX8JqFKLCRI4rUWJtMMdnuTxI8Q\nFfai0VANiVwMk8mCXm/k3XfP8/d/f42//duzXLgwRTqdJ5FYIRqdYmHhLTKZEdrbe6XxvmXLfgKB\nKbJZodtsNDaRyzkJhwN3/M0OhxO/38vU1CiDgwex222S0aBOZ2Rx0feZOj4POxmRJ2uNeFZC5Ti5\nKcH3XuJxLgQ9jc8nxKRHfDZup+oneB/VbqTkxaSNiZjI13U4OvjCF17DarVy5szPmZoal+a9VCqx\ngW+5/t1qtZpyuUIqFcNmc9bIhmu1WjyeLnp7t3Hx4kcsLc1jtzul+Vb8DYJoQgWFQolarWJ4+Flm\nZm7g8y3Q2dlXPZacoK9m27Y93Lx5AZWqVsZ6795nmJsbJx4X/DG3bRsENExOXmL//mNUKgpOnHgF\np9NDNhvjxo3L/PSn/xfZbIre3t2UyxrefPN7vP/+T/B4ejblD09MXMBgsEmQZ7VaSFS1Wj1NTW4K\nhSwvvvgahw59kZMnv8av/Mo3eOmlf8bg4CFKpQxNTTZ8vjlGRj7i7bd/wDvv/Jhz597l4sUzVeGo\nWB2sOBDwNrQ6AfD7VzAYLKjVGonDJY9YLExzs6u611jfbBeLJVZWFjEardJnRCigCDMTIPwiPyov\nrTFit8lstrNz516uXTvP3NxUzTgRIJAKSqU8TU3OKmcnQzqdqfGOCgT8WK0WqfO0ffsQarWCmzdH\nJf8prVZLMOiXFCLlwgnCPVCzY8dubty4yvLyTI13pkqlwmg0SvD53t4Brl+/SjKZ4saNK3R29koi\nXQLnysLc3IL0PfLubqOOzr12h+6Gy3Q3QhgPUrZdTNLkiAyBVrDurfUkrk+/VAmV2WyWIH/3E3J+\nlFgZgMffP0oeYptdrjgoyp02qm6IG7JEIo1KJWzalpYWicWaMJtbyGSSGAymqjv7GaxWB7t3v4TH\ns43JyY9rEiqAzs4B3O5OFhdPUyop6O5+jYmJLOfOvb/pOfv9XlwuN17vklSRF6ujYvdGo1HT3t5J\noRCjUFgnj1osTaRSMSyWFqJRb3UCspJIxIASarWDK1emNv3u+42NEEpxMhHHyt34J4hS2nKPInGz\nfK/KOo3izTd/TixWRq83YrO5yOXSJJOrQI7h4aOAIA6xUdI8kYg0kDlXkMtl8XjaJdncSkVY9AIB\nLwaDqUYiFgShipGRWaJRC36/H63Wys6dX2b37tcoFlW0tx/Eau2jv38HBsN690mvt+JwdLC8PAkI\n0rVWaxcjI5N35BM5nS5u3hzBaDTQ2tqOWME0mUw0N7sIhRLScy4uBLczJb1dPKoJvxHPSlwU78dE\n8Snk72lsFmIFGmq5UWLI+bcbky0BUdB4oyciPWKxFEajYJ2ya9c+jhx5kZWVaT7++D3S6RS5XLqh\nLYN4PrFYGIPBKJn2in8XN4Lbtu3GYjExOnoBl6u1RoZZPA9YT5qMRhN6vaGqDqqQ/KtA4Fvl84IQ\nhcXiYGpqpOZ8zGYLvb27uHbtDCBsRvfvP8rc3CSpVIyDB19gcXGKQ4eO097ex5YtvVitbkZG3mNm\n5jytrW5effV3eeWVb+L3e3nrre8yOXmlptATCKywvHyLwcFDEsRSnqguLNzEYnHWIQS0Wj1GoxmD\nwcKJE7/KM8+8xIsv/gZf/vL/zOHDL9LevoV4PEA2G+f8+V/w85//iI8+epvR0UssLc1X4ZL1CVWl\nUsHrXcJma26oXpxOJ8nnC9L5CB5MumoRWkU4vIbFYiedztQUD8XEKhoN4na3SxQKcY1JJoXCcCQS\noLd3O4cOnWR2dpzr1y/XfH8g4KO52Y3VapXk2gWJ8wyZTJpSqYTfv0pzc+1v27//OEtLtwgGBeuN\naDSM3W6TfocIv5NzWjs7t5JKxUilEg2TT3He7uvbSamUZXZ2ipWVBdrbeyU/LgCHw82NGwsNroei\nIexO7A7F43fvrXgnLpN8r3ineJCy7fKQHyufzz+Ra9IvVUJ1vyp/m/lHCXjpO/tHfd4QGrFLIj7w\nGxUHxY7a7TZQkUgCnU5PIhFlfj6NzSZAKjKZNAaDkfn5EaBAb+8RADo6hshkYmSz9d5Tu3e/SC63\nRDh8Hbu9la6ur3D69A2Wl+tlq8vlCj7fMn19e1hbW6kuGkpJaVB+3mazBZNJTySyIn1eTKhsNjeJ\nRACLxVFVvTGjVOpRqUxcvTpDMBj8bBe5GmIiJU+6xcnqXr3GoNajSOSyiROdaP56v+Pr0qVpFAo9\nLlcParUWn2+OdDrIgQPPSRUyQYGvVjQkmYzJFhLhb5lMinK5hMlklhT2RChjMhnDYDBKeGhxQn3r\nrTdZXi7S1rabfN6A1WrH5dqFy9WL2WxjcXGMUilIT8+eunNvaxskGJyhXC6RTEZpb+9lZSVHPH57\n1cbm5laWlqbZtm1owysK9HojKpVQVNiorBePxx9IEvtZ43Zwws38rESn+7vtuj1NqJ5GoxBNp+Xr\nnzzkUL+N85xcpEL+fvE18XOpVLaGa2m1NnH48Bew25s4f/49gkGfVMwplytSkUbkdgimvzaKRQHq\nt1HYolwuMzCwj0jERzKZbjiu5QlYPp8nl8vg8XQwPX29JklY3wso2b//GRYXp4nFwjXH2rZtkHg8\nwXvv/SPnz59iZOQc+XyBN974DplMisHBI1y//gnDw8coFEr09Q3wK7/yL1CrhQSjvb2H9vZujh59\nhT17TrC6usTPf/5dbtw4TzQa4MqVU+zc+QxqtZBEabXrHaFyuczMzBj9/YMN7+fS0jRud0fNJlmp\nVGKzOTAYTPT07OT557/KSy/9M1588VX6+3egUpWYmxvj0qVzXLt2gcuXz7G4OEs2m5GuSTS6VhWF\nqOe1h0Jr2O3OujVQQAjoyWSSEqdaKEima+CYyWSElhYPKpUKnU6HTqeVZLwzmYxk7m61NnH06EsE\nAqtcvHhWGifBoL+a3CjQagW+m5iAiqqCXu8CLldtN9BoNLFr136uXPmEQqHA6uoybnebdO3kYiup\nVEri/ZhMNilR2yy0Wi2Dg/sYHT1Pe/sWNBqdZE5fLBarnGUL8/OLm3pQiR0deVGtWCxKRcF7Sawa\ncZnE87+X9e9ByLbL96ryY20UaHpS4pcuobrbDpUcqtWom2M0Gu+IVX3YN/xOSaF8cy8nft5PRy0W\nS6LR6JieXkKv3yrhorPZNPl8kmBwmoGBk9KDLkzMXYTDt+oenLa2fgwGJ8nkJApFjpaWXlSqHbzx\nxruS+p9YsfT7V1EoKrjdbeh0OhKJODqdtoYcWXtsD+HwkvRvlUpFMDjHxMQZFhZGWVoaIxbz4/H0\nUqmoiMV82GzDfPjhh/d9ncXX5N1L+abjQXiNyVvgjcxf77ULMTExwdJSDKvVidXq4caNy1y9+iZG\no1XyKhFa7LUKfED1b7VJ1kZvGKHzo0arFfxkROPmYrFAOp3ik09OMTKygt2+C63WTHOzh1gsSlNT\nNwCtrTuIRhfRaIoYjfUVabPZgcFgZGbmOlqtDre7nXRayerqWt175RGNRtFqtQ2x/wCVip5kMlnX\n8RE3k2ISu9m1fpj8qbs9vjjuNvpZiV23O0FHP++k8Wk8fiFC/Rr5RokhCjM0gvrJ/ag2QuHlXa10\nOl/zbBaLJRQK2LlzmD17DrO4eIv5+VuUSuuS7PKIxaJYLFaKRRHqp6mZvwUxgAR9fdvx+xfweoXi\nm/x5lp/7/PwMNputqtw3RzQqwPcEERvxWgjmsn19uxgb+1j6bDKZ4Pz5U+RyCRYWbuBwNNHT08ee\nPfspFuH99/+Omzc/JZcrcvHiOxw58kV8viVCoRVOnvw1YrEYH3/8OqVSHqPRiNvdxqFDL7Bv30v4\nfD6+850/IZ8vYrFYpesuX88XFyfQ6YTPNYrl5Rk6Onobvub1LtDSsv45vd6Ix7OFwcHD9PcPcfjw\nCQ4cOIrJpGdxcZJTp37C+++/ydjYZdbWfLS1ddZB/UBQ/2tqaql/AXG9idPe3lGDchDtOAIBPzqd\nHp3OIHVn5IlVIhGr/ltfPWcDR4++TC6X5Ny505RKRcLhWpNica4UJM41pNNJMpk0Wq2BbDZTg6ro\n6tqKzWZlbOwKa2tLtLd3S2NYhAKKc22xWKx6B4ZpbW1nevr24letrR0EAl7c7g4JJikaHafTGWy2\nZsbG5qTCw2ZF2dvB7u6lOyRPrAyGdQ+ydDp9T50v8VzvV7Z9o/+UWDS8GxG6xzF+6RKqO3WoNoNq\n3a6b87iFvKMm39zfb5dEgJplCYeDrKwUq4ujcN3S6QRe7w16eg6j1a6b81YqFdRqK1arjdXVWzXH\nU6tVdHUNkcmEUamClMtFtm59Dp/PxPvvnyKXy0mkzbU1Ly0treh0OjyeDgIB322vvdvdVoWtQSzm\nZ2TkZ2g0ZZqattDdPUyhECMUmmB19RYORxvpdASNxsHIyK1Nj3m7uBMX7bOIAzQK+WbZbDZLKj1i\nFyKVSt3VpPn22++STmtRKmFtzUc6HUKvT3PgwBHpPclkHLXaIC1QICr2KeugnPF4BIulkdFvFJPJ\nWu0eCr4ckUiAv//71zGZ9lCpaNBqtTQ1mQBrFQ9PdWFUA/WVrHK5jN8/TyqV5ty5H7G4eI6JiVOs\nrNxgbGxG8rdqFHNzk7S1dRMKrTW8LxqNiUBAqDJv1vERk9i7vdafV3xWntXjPMc9jUcbcqhfo4Sp\nWCxuyqva6Eclbo7K5XJNV0ulUpHLlSTvnnK5IiUtIrR7cHAvgcAqn3xymkJhXSlVHMOxWASjUUgw\n1GoVSuV6giHyo0KhAB5PJ0NDhxgdPU8ymZCpzNV63SwuztDW1o3FYmPnzt2Mjp6vnrMIJ1wX1ujr\n20E+n2d+foK1NS9nz/4Mm83GV77yDfbtO04sFqS9vZfe3p385m9+G5vNwdatO+no6GBu7hZ/93d/\nQV/fEEtLt1hcnODo0ZdxODr56KN/ZG1tUarMK5WQTkfZv/8kTmc7p0//I6OjH1IoZGq6U1NTV9m+\nfbjh/QyH1yiXyw0V/ACCwVU8no6GrwUCKzidHpxON9u3D3Ps2Cu89NI/o7e3n3B4FZ9vmY8/fofR\n0YuEQrXIj0gkKBXXNkYkEsBgMKHV6qTCtTiWKhXwelcwGs3V7mNFggGKiVU8Hqv5PblcjmKxyMGD\nz6NSwYcfvk0ul5Yk9eUhFixjMUG5UKlUyiTOs1JiNTx8hKWlaVKpFHa7s0adUDyGyWRCrVbj93vR\n6QwMDAwxOTlCLpet+14x5uamGRjYwdLSLFqtFrPZXANJLBRKJJNKZmfngEdn6ttIpfN+Ol9wf7Lt\nmxn6PomCFPBLllCZzeZNfaga8aPEJOR++VGfRTTifkIUA5B31OSb+3vpksjPXYAJKjh//iqRiJ/Z\n2bNcuvQPeL2zBALz2O1NtLT01Hw+nRY6Wlu2DOP3b+S2KGhu3gKo0WrzJJPLKJUanM4hLl1awecT\nqoYCJj6KxyOYDrrd7QSDm6s0KhQK2ts7SaXWiES8TE5+SE/Pfvr7n0Op1OFy9WA0NrFjx4t4vdcw\nm43kcilMJgvz88l7ksxudK1vx0V70CHHPMu7ELlcTsIqbzbZVSoVPvxwBL3eRTjso6nJRaEQpaXF\nRmvr+iIajQbqTHobKfaB0LVq9HdBwELoXCmVSpRKeOuttzGZDqDVOsnnYzidfcRiy3g826V7Xyzm\n0OlUWK12QqH1jmMotMLVq2/i9Y7Q2bkdnU7HgQO/xvDwl+nq2kkwmGJtrfEY8fu9lMsFenoGCIX8\nDd9jMpnxekM1f2uUxELja/04dKgaxUaelQgdbcSzeti/4Wk8WSF2Z8XxsRHqJ4fsabXaOqif+JrI\nudrYMQJhfBYKBRQKTcPXBOhwEpvNwbPPfgGlEj7++H3p2OISm0iEq3LT1EDO5PytRCKC09mCx9NJ\nR0c3n356puEGMxaLkkzG8Hi6UKs1bN26E7Uabt4UJMg38pWUSgV79hziypUzfPrpuwwNHWbXrgOo\n1WoGB/cRCgXw+4W5zGi0sHPnAebmbjA0dIzf+q3fR6fTc+XKO+RyaS5e/IhLl04zMLCHoaHnuHTp\nNOfOvc3Vq2e5evUUu3bt48CBFxgaepbjx19DrTbxwQdv8OmnbxMO+5mevorRaNu0OzU/P47H091w\nYxqPRygUCnUeXWKEQv4G3lQVWlracbnaOHHiyxw4cAylssLlyx/y3ns/5ebNUeLxKMlkYtPjBoO+\nGjl0Ea4p2M5oicVC2O0t5HJ5ibogT6wikWAN90lEFuTzeXbvfoZMJoXP55OS9M1+W0dHt5QUwbrE\neT6fQ6vV4XC4iUQiNXxA+VwpFuJCIR8dHd1VQ3snV69ebNhVLZVKLCzc4tlnXySbTeD3ryJCEkUB\nDACLpZmRkVv3JDjxIEx95U2Fz9r5Eo8jyrbLDYsbURgaiXjBk7s2/VIlVJt1qERfgUYdho0LxOMU\n4m+QQxPlJmhiR+2zbu4zmQyhUAyncz97977K8PCvMTBwlPHx9wiFptm69UjdZ1KpBAaDiaamDhSK\nEuHwas3rxWKJ5uZeAoFFKpUg+Xwal6uXXK6Zjz76tJr8KUkkwrjdQou+pcVDJpMgnc5seq5Wqw2d\nTsPY2Dv09BykpaW7avAbw2ZrJZFYo7m5g+bmneRyIVQqJcvL45RKzZw5c+aO10KUeN3sWn8e3Ut5\nF0KcNOXwLhFuI8bVq1fJZGxUKkp0OgvNza0Ui0Gczmaam9el6aPRUF3XSYD2yRMnUbQk1jChiscj\nNX//4IPTLC+X6e9/nkBgFpdrG7lcCK3WhtvdTTweIZGIk8mEUKvVbNmyF693ssoHuMzMzFm6ugbZ\nu/dV2tt3oVabqVTy6PVmurt3YzR2EYk0rgTOz0/R2dmLy+UiHg83vE86nYF4PNtw4ZMnsVarteG1\nFj/3uCVUYsj9rDbjWcmrruL/n9QF7Gl8tqhUKgQCgRqo38b1UERBKJXKOiiOHM4nPi/i5wXY3HpX\nSzjOuuKbmLSIx0wmY5hMgoT68PAR2traOH/+FNFoFMEgPA5U0OsNaDTamjVeXmAUVOaEhKC/fxCF\nosjExHXxF0vntrg4R0uLC51u3Qtp9+6DTE9fI5GI1fCVxDAaTYTDIfR6Ax7PFunvgsjGAa5dOyf9\n5u7ubRiNdsbHL2C12vjiF38Nvd7E7t0H6e7u5ezZn/GTn/w5ly69V02y3mN+fpTnnvsqvb27UKmE\n62gwmNi16yDHjn0VrdbOmTNv8u67/7CpWW8+n8fnW6Cnp7HR7+rqHC0t7Q33PdlsmnQ6VdNlkie/\niUSE5mYXDkcLu3cf4qWXfp2hocNkMnF+8Ysfs7q6is+30nAjH40GG8IBhcRKQyYTp62tA4ViPVGX\no4hisTUcDpf0GZ1OJ42dcrmM2ezA6XRy9ux7EhJCHpVKmXDYj9vdgVKpwmAwYjSuz5GisW82m6Gz\ns4tr1y7VzZViiAbDfX07qvyrYVZXZ4lEwlVlwvX1ZXFxDqPRgMPRQl/fzg2+VOuQRLPZQj5vYHl5\nRULF3G0iI3aHbDbbPZv6yhX+HlTnC9YTK9GweKMfVrlcrutQPenFvsczk7jPMBqN0o0Khdar0PKN\n8YPsMDzMDpVcPrNQKNRk8kbjuiDAgxh40WiUpaUMFss6UdNm86DR2NFoFCQSkbrPpNMJDAYBAujx\n7Pj/2HuzGDnO9FzzyczIfV+rsvadLFZxExeRlFqU1OpFp9Xtto/tmTMG7IMBDPvCF74awDfdNtBz\n1YYHmAtfGAc+Yx/Ax5hpu7vt1tItUWyJlMSdRVaRxdr3Jfd93+YiMiIjK7MoUiLVkqwXECBWZkT8\nGRn5///3fe/3vuzsKDnENTKZNN3dY0Qi27hcFjKZDfL5MBaLk7U1FYuLs0QiwXqGRsyIqNVqnE4v\ngcBWy/WUqFTyqFQ1vN6B+lidZDJJzGYHlUoRvV5PqVTgwIEXsdtdBIOL6HTd3LzZnucsfX9SMLXf\nvf5NQzlpKuldqVSqaQL/1a/eJ5k0kk6HGB09xcrKNbq7++oTXKMPKpWKt6j5JZPRlsBJrHRk9sgZ\ni1AKWMzPz3DjxjY22wDFYpliMUtv7wEymXXc7iEEQYfT6WFnZ5Nsdhuj0UZ39wTZbJipqbdJpbY4\nduw1uRqaTMbxeHqIx3cBUcEvlysSixVb6BXFYoFQaIeBgVHsdhfKhmB3AAAgAElEQVSFQqEtNVD8\nvRhJJFrFVJQQBAGLxSIrGUlUCKkZuVqtfq57kZQceavV2hQcSuOWmsE/z5/jKzxdKJ8HtVr9UKrf\nXp+c/UQqWhX1xKSlSD/VtlD9pPen0ylMJqt83OTkSQ4cmOTGjfcIhYL19cLW0ktUqVTkYwoFcW2w\nWGxUqzWq1QrHjp0jEFgjENipr6tiABYKbdPd3Y9OJ1XNxITLwMAw9+9PyUFW4/PWuH79MidPnqFS\nKbZUwXt7BzCb7czN3ZL/dvz4Gba2VohEdvF4OhkdPc7S0gzPPvsN/ut//T+w2VwcPXqO73//j/mz\nP/s/GRg4zJUrbxCNBuU+MZEap0OvNzA2dgSbzUd//zCLi1P8+tevs7W1JlP0ATY3F7HZPFgs1rbf\neSCw0cRUaH5tE4fD23R/pe9YpVKRTCZaqlder58TJ77GwYNH6e8fYmlpmnfe+Rmzs3ebAptYLNKU\n0FMinU5Rq1VxONwYjRLbpsEUCYUCVKsV9Hqx30d63pQejvF4iJMnX0Cr1XHx4lstQVUkEsZgEIUq\nJIgS52ZZECqTSROPx3jmmefY3V1nd3db/uxKbG6u4XS66kJHGjweH4ODo8zNzTQFZ6VSidXVeYaG\nxgExyG5UqRqQ5mu3u4tLl26Tz+dlhsTjBDIajeaRq0MS2nlQPYnKl4S9su2SYqK0Bu9N6H2RE3xf\nqoCqWCxit9s5e/Ysf/RHfyT/Xbkx/rz3RympicqHX+qPkpo5Py2UweDc3ArQjSA0qB7pdIxUapfJ\nye+wvPwR2WwzXS6bzWIyiROT1ztCLhcllYpRLpeoVKrkcin6+8fQaMz1Xq9FwuF7VCoRdnYe8O67\nV9ne3pQzThI6OvwEg82TjRJbWxtYrc2iA4KgQ6cTG06tVi/5fBy1WoNKpePAgdOEQg9QqQRWVprL\n+FJmU/qbsgFVooF+HquX7WS0pbFnMhlmZrap1TQ4nXbK5QJqdY2uLg92u7vp2U8mYy2CFOl0skWQ\nIpNJotW2F3pIpRI4HE6SyTgXL85QKgmYTF1sbT3AZPKj1WrJ5aK4XH3odFo6O7vJZiPkcnFsNi9Q\nI53OEo0uMTn5alOfXjwew+8/QCq1Q6lUQBB0WK0WYjE1iURzkL++vozb7cVgEKVlHQ43odBu2/un\nUhmIxx8eUElQZuwk2VoQn5VPsrh8HJ5Ghk5qqFbSOYAWL5Kv8B8Lkk2DhL0JuodR/aCx0d7bc6V8\nn7KqlUxmEASdLHeuVqubNnHZbFJWHxU9hdQMDh5gcvIEU1MfsLKyiNlsbaqSieJSjeAsFhNtIMS5\nXbyO2Wzh+PEzTE9fl43Kc7kc6XSCrq4B+TNXKmWq1WpdNa/A8nKz3cbKygKVSoEjR55ldPQw09NX\nWn77R46cZm1tXvamMhrNHDz4DLdvv0+5XGZ0dAKz2cXU1Hu4XB5OnXqZmZmrhMPbaDQCJ058jeHh\nY7z//s/Z3FyQzZEFQTRQ3doSlVpfeOG3ee657+H39zM7e4133/0Zq6sLVKs11tbuMzh4oO13ns2m\nSadTdUuJVoTD2/h8DRphudxQgMvl0uj1hpb+WgmJRIxDh47z4ovf5cSJ50ilIrzzzk+5fftqnaat\nwmZr9SsUrxuQ1yKpainJ44NI55ao5VJALW281Wo1xWIBtVqFx+PjyJHTmExGLl58sx6oiXPb7m6r\nXLoEjUbAbDYTi0XkqqX4Hd9oSyHc3l6nq2tA8RcVExPPkMlEKRTysjLh9vYWyWS07jEmVnlbq1QN\n7O7u1L0SE58qkPm46lA72l27pLEyiSuNR2I7PM54lOwPi8Ui3x8JUmJHqoR/UfHFHbkCwWCQv/qr\nv2JgYIA33niD2dlZ5ufnicdFieXHFWl4XDyJzUg78QMJomrZp1OR2w+VSoWZmV2czmb6wNraHczm\nTjo6hvH7x1hautH0ej6fxWy2UKuJPzqbzc/29gKVSpVKpUyxmMdud9HfP8Hm5n0OHXqWjo4xDh36\nPl1dp1hcDPHuu79omeA6O3uIRgNtf6jlcpkHD+7wzDPnyGZDTe8xmayk04m6we8uVquNVCrG6Ohz\nOJ29rK3NUCjYuXr1apM6onIzKWVlnvbz8qSgFFWQNjS3b99mYSGGSkXdKHEXv38YlSqP3d4InrLZ\nNNVqrSmLKcq1p5uqWCAGXs00QBHFYp5SqYzFYuXixXdZWysQCi2ztbVQp3rWSKU20etdCIIR0XxR\nh81moFDIYbGYWVy8jslkRqczUyoV6waMNfm6TmcHVqtTrlLZ7S5yuRq7u80B1ebmSpO5otPpJRpt\n30dlMlnZ3n48GX1lQ7KETyIW8nF4mpQHyXBSgtRnVSqVvhDP+1d4cpCyxO2orxKUFPmHUf32ilQo\nfwfK15LJbN2cV1KjbfQnSQpwZrNVFiGQIApMPMvc3JTcUyNBrLIiHxOLRXA6PU1VK61Wh9/fi9/f\nxdTUVSqVSn1z7ZMr/crg0WAwcPToaebm7pDLZev3osDCwl2OHTtbD/RGUanULC/fb7ovFouVwcFx\n7t5tqAEqqX8AJ048TzweZXX1Ph5PB8ePv8iNGxfk+aqnZ4gTJ77O/Pwd7t9vBG2RSIDFxZucO/eq\nXFHp6Rnh7NnvMjw8yerqLD/72d+zvb3dpHSnxObmEl5vl6ziuxeh0K5Mwa/VfbiAutHtDk5n+4Ck\nWq2SSERk7yq3u4PTp1/i/PnvoFZXefvtfyEajZFOp9oeH4m0qgM2etyN9e9VfL1SqTSt2yqVikBg\nB7fbW3+/mePHz2Ew6Pnww1+TSCTqDIZtfL72lbn6FYlEAgwOjmAwGOjq6sfpdHLv3p0mO5pCIU88\nHqK7e6DpaJ3OwODgAebmpuXk9/r6En5/f31vl6VSKTMwMEqhkJL7iSWUy2Xm5+9w4MAJHjzYkvt6\nH5fCp8TDqkOPY+r7SQQn2t7h+ndqt9vlPYukMCq1L3yeCx4fhy/8Kvp3f/d39PX18Zd/+ZcEg0Ec\nDgd/+7d/y8zMDE6nSFF6WtnXJ/HFP8yIV1pUnuYDtrOzSzxuajJWTadjZDIBzGY/JpO57iMUIxwW\nG26ljaTBYKRUKlIslvB6R4lGV1CpVORyWVSqKru7i6hUsLOzSCSyS60Wolwu0N19GIvlAIuLYSqV\n5sDJZBKbNPeqB4EocWs2Gxkbm0AQNKRSIfk1q1WsktjtPlKpIBaLg2QyXs8InSQcniGXM/Phh9db\npM+lH7Zarf5C/piVn+Hixevkclr8/i7y+SwmkwuTSU2hkGmqRsVi7funDAZT00ZH/Hu8JcgC0fzQ\nYrFz794Ut24FEQQ1Q0MvYrE4GBw8RbkcZ23tKjZbc+O0y2UglysQi22Tz4c4fvy76PVGotEdmTcv\nKjAlcbnc2GzdRKM79WO95HI5otF8PfgSq2S5XBq/v5EUcLu9xOPtgyaj0Uw4nPxUlSUpA7hXLOTT\nGAV/FlCOS8oWKqtWX+E/BiQWBLRS9EBSHmsvof6oIhV7kUikkbYcYgWqcc5UKolGo65Xwpv7o2q1\nGj5fF52dXWxtrbG9vSGPUdm/pVKpiMcjOBxueezK6xw69Azlcp6FhVnC4V26uvrk6yirbRqNgNvd\nQVdXF9PTonHsgwczeL0+WXBBrVbX+62myeebhbDGxibI5/Osry/Ifzt+/AwbG0tEIrtotVpOnnyJ\n+/dvEo+H8Pu7mZw8x7VrvyQWC1IqFXG5PLz88m+TTqe5fPln7OyscePGOxw9egan01tnUZjl+cfn\n6+XUqW+i1ZowGAQuXPhX7t+faqG97e6uN/V+KRGPh1GrNTKFWxlQC4K2TltsT9mLxyPo9SYMBmPT\n381mK0ePnmV4eByn08n777/J7dtXyeWa6dixWBivt30QKJ4/iMfT0eQHpVzHo1HxdZVKLScaz5z5\nOlqtmhs3PiCRSBKJBOtJxfZzc6lUJBoN4vf3odWKgdzk5AlCoS0CgR25t3ptbQWXy9skWCJhZGSC\ndDpWp5dWSSRCjI0dRqVSUa1WZIuboaFx5ubuNh27sDCL2Wymp2eQUsnE6uraY1Wa9oOyOtTO1Lcd\n5W8/PInxSGOSIP12RQPm7Bc6ufcbGfnCwgJGo5E//MM/bPv6P/zDPyAIgqxwZrPZeP/999u+d3Jy\nkmKxyPe+9z0uXrzIoUOH+IM/+IMmpaLP2+ZG6YH1MCPevX4eT2Mc09PrxGKQTDYoUBsb9/F4himV\nyhiNohrOwMBJVldv1s33Emg0Qt14UTzGbvdhMBgIBJa4e/dtwuEZstkAbrfYg7Kyco1o9D5LS5cw\nGETBBEEY5Y033mrJkno8vhbaX7VaZWXlAcPDh1Cp1Ph8PsLhNfl1m81FJhPDYnFTLhfqRrNihXJo\n6BgqVY1EIsTcXLhFmOTz0B/1JJBOp7l3bxeHw43NZqJaLeFyDeN06gmHgxiNFnnyTCTCLQFVIhHF\nam2uRNVqNTKZ5D4BVQSdzsCbb/4as/kger2WWk2PyeREECx0dx8jHl+hVGpMM+VyHqNRg0qlZnv7\nLgcPvoTRaKGzc5h4fKu+8FSJREL151+N291LMik+D9L4slkN6bRIQ93YWMPr9Tf9Xux2J7lcTvY9\nU0Kj0VCpCKRS7bOlj4L9JMs/rVHwZ6UiCOKmUKfTtfTNfIUvN8Q5vCFOIj27ShVISUJdopwp8TCR\nir3sCuU54/E0Op2+heonbogjmEzmpnUPGtUuyfD97NmXmJq6wvb2pkzpk44RN4kJuZq+9zpqtZpj\nx86wujpLJLItJ2CUtDbJIwhgfPw4sdgua2srbG4utkiUu1xuOjt7uXevmb2h0Wg4fPgU9+9fk9c2\nkfp3kqmpS5TLZRwOF+PjJ7l+/QLFYpG+viFGRp7h8uXXyWaTCIKA2Wzh3LlvUq1q+ad/+r/o6uqj\nu7tRhZdYCCaTCUHQEo9HqFTyvPLK/8rx4+dJpyO8886/cvfudXK5LJlMklQqQVdX+yrNzs6q7E3V\n7MOlrws6RNuo/4kIh3dxOj1tXwNRxOr06fO8/PJrqNU1Ll58nenpm5RKJfL53L5y5wDRaIRKpYzT\n6ZF74KXvVQqsgsEteeySKqAgCJw79wpqdY0rVy5itzuoVMqk05n6s9M8N+/u7uBwOOWe7lpNrDod\nOnScubm7cgC/urqA293RlpEgCAIHDhzm/v3brKws4XZ7cTicdZl0vRw4eDx+UqkYm5viHqZYLLC0\ndI/x8eOoVCpcLj/T06vy8yOtNVardd9K08dB2VerNPWV8DgS6Y9S+XoYlJUxiVJvNBo/t20Wj4rf\nyMj/7M/+jNOnTz/0PefOnZO18JPJJC+88ELb9509e5bl5WV+/vOf8+KLL7Y0tz1NPK4ohZJqplSv\n+SRGvJ8WKpWKWCxGOKzCbvextDTD3Nx9MpkkyeQmXu8IWq1Obsx1ufpRq1Vsby+RSCTqvTvi4iFu\nyjRUqwJTU79AEAwcOfIdRkdfoK/vOJOT36JSUXP27H9Bo4mzvHyNYrGMwzHK5maVqanmBcnn6yYc\nbqZrra+vYjTq61msGr293USjm/LrZrOdQiFXV/txUyplKRaz5HJZrFYvZrOdVGqDcLjK2traZyJ9\n/lnj7t1pNjcTeL19BAKzuN09GI0aLBYxk6bXG2SX93g83CKZHo9H23pNZTKpFvEKECtXd+5cJ5Vy\n4vMNAGry+QQdHWMUCnkEIUdn5ziJxKYc2ORyMXQ6Hfn8FkajH61WpKB5vSOkUjvo9Xp0OtHE0WSy\nUiwW0WiMlEp5WRzFbncQj1flPqjd3XV6e5sNLAVBg83mJBRqL7Feq+kfS0a/cVxrwKPsaZMa9yUp\n6o/zgtrv/E8bn7Xlw1f4fEBMkGTkCo5Op2tS2JJ6eKXq/d4s/MNEKpRVLSWdB6hbD0iJiGb6uuib\nlsJstjYF91LiEcQKlsFgwO/v5dSp57l16zLBYKCpOh+Px5o+j/I6YvKvhtVqx+frZXt7E73e0EJr\n25s5n5w8zqVLb+F2+zCbW0UeJiaOEQpttQhUdHR04Xb7ZZofwNDQGEajlQcPrgMwOHgAh6OTqSnR\ndH5gYJSenjGuXfsl1WqZSCTItWvvUihE+eY3f5/NzWUWF1t7b8SNso7V1QcMDo7VBXXsTEyc48yZ\nb1Iq5Xn33Z9y4cK/Y7d796X7BYM7+Hxd1Go0+XCp1WpisVA9mGnfPxWNB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BIRuQ9XorlL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YJhQSv/d2MumFQuGhhrxSYCMd/7iVpv0gJf/2MxlWJnKU88DnVRH7cfHl+BQKPGoP1X49RlIP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ykUQqysTDI8fIFweJ5QKMb8/BiNjVvQ6QzY7XW0te0mEpnE51tGKpVisTTQ2XmY3bt/GbW6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\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X+Pa3H+fHP34dv9+BQtFFT89nUCi8BAITKBQxlMoZ1Oo4en0OqXQevT6Ow1FGq/VTq43g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x4OBwjEYjHR1tItNgUFAIg4ODdHe3o9Vq0WhsGaCYmNmUlZ3DaOzHaHTMgCkUStLTV3DgwEdE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\ngyfOqNg5iopSkDJJSEhAzZo18eabbwo9lJe0adMG+/f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       "text/plain": [
-       ""
+       ""
       ]
      },
      "metadata": {},
@@ -2225,2069 +2208,6 @@
     "fig.tight_layout()"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Animations"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Matplotlib also includes a simple API for generating animations for sequences of figures. With the `FuncAnimation` function we can generate a movie file from sequences of figures. The function takes the following arguments: `fig`, a figure canvas, `func`, a function that we provide which updates the figure, `init_func`, a function we provide to setup the figure, `frame`, the number of frames to generate, and `blit`, which tells the animation function to only update parts of the frame which have changed (for smoother animations):\n",
-    "\n",
-    "    def init():\n",
-    "        # setup figure\n",
-    "\n",
-    "    def update(frame_counter):\n",
-    "        # update figure for new frame\n",
-    "\n",
-    "    anim = animation.FuncAnimation(fig, update, init_func=init, frames=200, blit=True)\n",
-    "\n",
-    "    anim.save('animation.mp4', fps=30) # fps = frames per second\n",
-    "\n",
-    "To use the animation features in matplotlib we first need to import the module `matplotlib.animation`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "from matplotlib import animation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# solve the ode problem of the double compound pendulum again\n",
-    "\n",
-    "from scipy.integrate import odeint\n",
-    "from numpy import cos, sin\n",
-    "\n",
-    "g = 9.82; L = 0.5; m = 0.1\n",
-    "\n",
-    "def dx(x, t):\n",
-    "    x1, x2, x3, x4 = x[0], x[1], x[2], x[3]\n",
-    "    \n",
-    "    dx1 = 6.0/(m*L**2) * (2 * x3 - 3 * cos(x1-x2) * x4)/(16 - 9 * cos(x1-x2)**2)\n",
-    "    dx2 = 6.0/(m*L**2) * (8 * x4 - 3 * cos(x1-x2) * x3)/(16 - 9 * cos(x1-x2)**2)\n",
-    "    dx3 = -0.5 * m * L**2 * ( dx1 * dx2 * sin(x1-x2) + 3 * (g/L) * sin(x1))\n",
-    "    dx4 = -0.5 * m * L**2 * (-dx1 * dx2 * sin(x1-x2) + (g/L) * sin(x2))\n",
-    "    return [dx1, dx2, dx3, dx4]\n",
-    "\n",
-    "x0 = [np.pi/2, np.pi/2, 0, 0]  # initial state\n",
-    "t = np.linspace(0, 10, 250) # time coordinates\n",
-    "x = odeint(dx, x0, t)    # solve the ODE problem"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Generate an animation that shows the positions of the pendulums as a function of time:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "fig, ax = plt.subplots(figsize=(5,5))\n",
-    "\n",
-    "ax.set_ylim([-1.5, 0.5])\n",
-    "ax.set_xlim([1, -1])\n",
-    "\n",
-    "pendulum1, = ax.plot([], [], color=\"red\", lw=2)\n",
-    "pendulum2, = ax.plot([], [], color=\"blue\", lw=2)\n",
-    "\n",
-    "def init():\n",
-    "    pendulum1.set_data([], [])\n",
-    "    pendulum2.set_data([], [])\n",
-    "\n",
-    "def update(n): \n",
-    "    # n = frame counter\n",
-    "    # calculate the positions of the pendulums\n",
-    "    x1 = + L * sin(x[n, 0])\n",
-    "    y1 = - L * cos(x[n, 0])\n",
-    "    x2 = x1 + L * sin(x[n, 1])\n",
-    "    y2 = y1 - L * cos(x[n, 1])\n",
-    "    \n",
-    "    # update the line data\n",
-    "    pendulum1.set_data([0 ,x1], [0 ,y1])\n",
-    "    pendulum2.set_data([x1,x2], [y1,y2])\n",
-    "\n",
-    "anim = animation.FuncAnimation(fig, update, init_func=init, frames=len(t), blit=True)\n",
-    "\n",
-    "# anim.save can be called in a few different ways, some which might or might not work\n",
-    "# on different platforms and with different versions of matplotlib and video encoders\n",
-    "#anim.save('animation.mp4', fps=20, extra_args=['-vcodec', 'libx264'], writer=animation.FFMpegWriter())\n",
-    "#anim.save('animation.mp4', fps=20, extra_args=['-vcodec', 'libx264'])\n",
-    "#anim.save('animation.mp4', fps=20, writer=\"ffmpeg\", codec=\"libx264\")\n",
-    "anim.save('animation.mp4', fps=20, writer=\"avconv\", codec=\"libx264\")\n",
-    "\n",
-    "plt.close(fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note: To generate the movie file we need to have either `ffmpeg` or `avconv` installed. Install it on Ubuntu using:\n",
-    "\n",
-    "    $ sudo apt-get install ffmpeg\n",
-    "\n",
-    "or (newer versions)\n",
-    "\n",
-    "    $ sudo apt-get install libav-tools\n",
-    "\n",
-    "On MacOSX, try: \n",
-    "\n",
-    "    $ sudo port install ffmpeg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
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