from six.moves import xrange (en masse)

Author: cclauss

research/brain_coder/common/config_lib.py

@@ -10,6 +10,7 @@
 
 import ast
 import itertools
+from six.moves import xrange
 
 
 class Config(dict):

research/brain_coder/common/schedules_test.py

@@ -7,6 +7,7 @@
 from math import exp
 from math import sqrt
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import config_lib  # brain coder

research/brain_coder/common/utils.py

@@ -12,6 +12,7 @@
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/brain_coder/single_task/code_tasks.py

@@ -11,6 +11,7 @@
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 
 from common import bf  # brain coder
 from common import reward as r  # brain coder

research/brain_coder/single_task/ga_lib.py

@@ -14,6 +14,7 @@
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 
 from common import bf  # brain coder
 from common import utils  # brain coder
@@ -469,4 +470,3 @@ def __init__(self, *args):
 
 def random_individual(genome_size):
   return lambda: Individual(np.random.choice(GENES, genome_size).tolist())
-

research/brain_coder/single_task/ga_train.py

@@ -18,6 +18,7 @@
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import utils  # brain coder
@@ -321,4 +322,3 @@ def run_random_search(max_num_programs, checkpoint_dir, task_eval_fn,
       solution_found=found_solution, generations=num_programs_seen,
       num_programs=num_programs_seen, max_generations=max_num_programs,
       max_num_programs=max_num_programs)
-

research/brain_coder/single_task/pg_agent.py

@@ -15,6 +15,7 @@
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import rollout as rollout_lib  # brain coder
@@ -1294,4 +1295,3 @@ def process_episodes(
     batch_targets = np.array([], dtype=np.float32)
 
   return (batch_targets, batch_returns)
-

research/brain_coder/single_task/pg_agent_test.py

@@ -8,6 +8,7 @@
 
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from common import utils  # brain coder

research/brain_coder/single_task/results_lib.py

@@ -8,6 +8,7 @@
 from collections import namedtuple
 import os
 import re
+from six.moves import xrange
 import tensorflow as tf
 
 
@@ -152,4 +153,3 @@ def read_all(self, num_shards=None):
           r for shard_results in results_per_shard for r in shard_results]
 
     return aggregate, shard_stats
-

research/brain_coder/single_task/results_lib_test.py

@@ -8,6 +8,7 @@
 import os
 import shutil
 import tempfile
+from six.moves import xrange
 import tensorflow as tf
 
 from single_task import results_lib  # brain coder

research/brain_coder/single_task/test_tasks.py

@@ -4,6 +4,7 @@
 
 """Tasks that test correctness of algorithms."""
 
+from six.moves import xrange
 from common import reward as reward_lib  # brain coder
 from single_task import misc  # brain coder
 
@@ -124,5 +125,3 @@ def __call__(self, actions):
     # closest next element.
     # Maximum distance possible is num_actions * base / 2 = 3 * 8 / 2 = 12
     return (len(prefix) + (1 - min_dist / 12.0)), False
-
-

research/brain_coder/single_task/tune.py

@@ -39,6 +39,7 @@
 from absl import flags
 from absl import logging
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from single_task import defaults  # brain coder

research/compression/entropy_coder/dataset/gen_synthetic_dataset.py

@@ -18,6 +18,7 @@
 import os
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import synthetic_model

research/compression/entropy_coder/dataset/synthetic_model.py

@@ -16,6 +16,7 @@
 """Binary code sample generator."""
 
 import numpy as np
+from six.moves import xrange
 
 
 _CRC_LINE = [

research/compression/entropy_coder/lib/blocks_masked_conv2d.py

@@ -16,6 +16,7 @@
 """Define some typical masked 2D convolutions."""
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import block_util

research/compression/entropy_coder/lib/blocks_masked_conv2d_test.py

@@ -19,6 +19,7 @@
 from __future__ import unicode_literals
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import blocks_masked_conv2d

research/compression/entropy_coder/lib/blocks_std_test.py

@@ -22,6 +22,7 @@
 import os
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import blocks_std

research/delf/delf/python/feature_io.py

@@ -25,6 +25,7 @@
 from delf import feature_pb2
 from delf import datum_io
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/differential_privacy/dp_sgd/dp_mnist/dp_mnist.py

@@ -22,6 +22,7 @@
 import time
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from differential_privacy.dp_sgd.dp_optimizer import dp_optimizer

research/differential_privacy/dp_sgd/per_example_gradients/per_example_gradients.py

@@ -17,6 +17,7 @@
 
 import collections
 
+from six.moves import xrange
 import tensorflow as tf
 
 OrderedDict = collections.OrderedDict

research/differential_privacy/multiple_teachers/aggregation.py

@@ -19,6 +19,7 @@
 from __future__ import print_function
 
 import numpy as np
+from six.moves import xrange
 
 
 def labels_from_probs(probs):
@@ -127,5 +128,3 @@ def aggregation_most_frequent(logits):
     result[i] = np.argmax(label_counts)
 
   return np.asarray(result, dtype=np.int32)
-
-

research/differential_privacy/multiple_teachers/deep_cnn.py

@@ -20,6 +20,7 @@
 from datetime import datetime
 import math
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 import time
 
@@ -600,5 +601,3 @@ def softmax_preds(images, ckpt_path, return_logits=False):
   tf.reset_default_graph()
 
   return preds
-
-

research/differential_privacy/multiple_teachers/input.py

@@ -24,6 +24,7 @@
 import os
 from scipy.io import loadmat as loadmat
 from six.moves import urllib
+from six.moves import xrange
 import sys
 import tarfile
 

research/differential_privacy/multiple_teachers/train_student.py

@@ -19,6 +19,7 @@
 from __future__ import print_function
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from differential_privacy.multiple_teachers import aggregation

research/domain_adaptation/domain_separation/dsn_eval.py

@@ -19,6 +19,7 @@
 import math
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from domain_adaptation.datasets import dataset_factory

research/gan/cifar/util.py

@@ -18,6 +18,7 @@
 from __future__ import division
 from __future__ import print_function
 
+from six.moves import xrange
 import tensorflow as tf
 tfgan = tf.contrib.gan
 

research/gan/image_compression/networks_test.py

@@ -19,6 +19,7 @@
 from __future__ import print_function
 
 import tensorflow as tf
+from six.moves import xrange
 import networks
 
 

research/gan/mnist/util.py

@@ -24,6 +24,7 @@
 
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 ds = tf.contrib.distributions

research/gan/mnist_estimator/train.py

@@ -22,6 +22,7 @@
 
 import numpy as np
 import scipy.misc
+from six.moves import xrange
 import tensorflow as tf
 
 from mnist import data_provider

research/im2txt/im2txt/data/build_mscoco_data.py

@@ -97,6 +97,7 @@
 
 import nltk.tokenize
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 tf.flags.DEFINE_string("train_image_dir", "/tmp/train2014/",

research/learned_optimizer/metaopt.py

@@ -21,6 +21,7 @@
 import time
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 from learned_optimizer.optimizer import trainable_optimizer

research/learning_to_remember_rare_events/data_utils.py

@@ -29,6 +29,7 @@
 from scipy.misc import imresize
 from scipy.misc import imrotate
 from scipy.ndimage import imread
+from six.moves import xrange
 import tensorflow as tf
 
 

research/learning_to_remember_rare_events/memory.py

@@ -23,6 +23,7 @@
 """
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/learning_to_remember_rare_events/train.py

@@ -26,6 +26,7 @@
 import random
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import data_utils

research/lfads/synth_data/generate_itb_data.py

@@ -18,6 +18,7 @@
 import h5py
 import numpy as np
 import os
+from six.moves import xrange
 import tensorflow as tf
 
 from utils import write_datasets
@@ -47,12 +48,12 @@
 flags.DEFINE_float("u_std", 0.25,
                    "Std dev of input to integration to bound model")
 flags.DEFINE_string("checkpoint_path", "SAMPLE_CHECKPOINT",
-                    """Path to directory with checkpoints of model 
+                    """Path to directory with checkpoints of model
                     trained on integration to bound task. Currently this
                     is a placeholder which tells the code to grab the
-                    checkpoint that is provided with the code 
-                    (in /trained_itb/..). If you have your own checkpoint 
-                    you would like to restore, you would point it to 
+                    checkpoint that is provided with the code
+                    (in /trained_itb/..). If you have your own checkpoint
+                    you would like to restore, you would point it to
                     that path.""")
 FLAGS = flags.FLAGS
 

research/lfads/synth_data/generate_labeled_rnn_data.py

@@ -18,6 +18,7 @@
 import os
 import h5py
 import numpy as np
+from six.moves import xrange
 
 from synthetic_data_utils import generate_data, generate_rnn
 from synthetic_data_utils import get_train_n_valid_inds

research/neural_gpu/data_utils.py

@@ -21,6 +21,7 @@
 import time
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import program_utils

research/next_frame_prediction/cross_conv/eval.py

@@ -20,6 +20,7 @@
 import time
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 import model as cross_conv_model

research/next_frame_prediction/cross_conv/example_gen.py

@@ -18,6 +18,7 @@
 import sys
 
 import numpy as np
+from six.moves import xrange
 import tensorflow as tf
 
 

research/next_frame_prediction/cross_conv/model.py

@@ -20,6 +20,7 @@
 import math
 import sys
 
+from six.moves import xrange
 import tensorflow as tf
 
 slim = tf.contrib.slim

research/next_frame_prediction/cross_conv/reader.py

@@ -15,6 +15,7 @@
 
 """Read image sequence."""
 
+from six.moves import xrange
 import tensorflow as tf
 
 

research/next_frame_prediction/cross_conv/sprites_gen.py

@@ -21,6 +21,7 @@
 
 import numpy as np
 import scipy.misc
+from six.moves import xrange
 import tensorflow as tf
 
 

research/object_detection/dataset_tools/oid_tfrecord_creation.py

@@ -18,6 +18,7 @@
 from __future__ import division
 from __future__ import print_function
 
+from six.moves import xrange
 import tensorflow as tf
 
 from object_detection.core import standard_fields