From cb04a9388cc96c36735ca795eb64bcecf26d2d13 Mon Sep 17 00:00:00 2001
From: bluedistro <bineykingsley36@gmail.com>
Date: Wed, 25 Dec 2019 12:11:43 +0000
Subject: [PATCH 1/5] added dijkstra's bankers algorithm implementation to
 'other' directory

---
 other/dijkstra_bankers_algorithm.py | 184 ++++++++++++++++++++++++++++
 1 file changed, 184 insertions(+)
 create mode 100644 other/dijkstra_bankers_algorithm.py

diff --git a/other/dijkstra_bankers_algorithm.py b/other/dijkstra_bankers_algorithm.py
new file mode 100644
index 000000000000..0fc88454b439
--- /dev/null
+++ b/other/dijkstra_bankers_algorithm.py
@@ -0,0 +1,184 @@
+# A python implementation of the Banker's Algorithm in Operating Systems using
+# Processes and Resources
+# {
+# "Author: "Biney Kingsley (bluedistro@github.io)",
+# "Date": 28-10-2018
+# }
+'''
+The Banker's algorithm is a resource allocation and deadlock avoidance algorithm
+developed by Edsger Dijkstra that tests for safety by simulating the allocation of
+predetermined maximum possible amounts of all resources, and then makes a "s-state"
+check to test for possible deadlock conditions for all other pending activities,
+before deciding whether allocation should be allowed to continue.
+[Source] Wikipedia
+[Credit] Rosetta Code C implementation helped very much.
+ (https://rosettacode.org/wiki/Banker%27s_algorithm)
+'''
+
+from __future__ import print_function
+import numpy as np
+import time
+
+
+class Bankers_algorithm:
+
+    def __init__(self, claim_vector, allocated_resources_table, maximum_claim_table):
+        '''
+        :param claim_vector: The maximum (in values) amount of each resources
+         (eg. memory, interface, semaphores, etc.) available.
+        :param allocated_resources_table: How much (in value) of each resource
+        each process is currently holding
+        :param maximum_claim_table: How much of each resource the system
+        currently has available
+        '''
+        self.__claim_vector = claim_vector
+        self.__allocated_resources_table = allocated_resources_table
+        self.__maximum_claim_table = maximum_claim_table
+
+    # check for allocated resources in line with each resource in the claim vector
+    def __processes_resource_summation(self):
+        allocated_resources = list()
+        for i in range(len(self.__allocated_resources_table[0])):
+            # dummy to perform addition of specific resources
+            sum = 0
+            for p_item in self.__allocated_resources_table:
+                sum += p_item[i]
+            allocated_resources.append(sum)
+        return allocated_resources
+
+    # check for available resources in line with each resource in the claim vector
+    def __available_resources(self):
+        return np.array(self.__claim_vector) - np.array(self.__processes_resource_summation())
+
+    # implement safety checker by ensuring that max_claim[i][j] - alloc_table[i][j] <= avail[j]
+    # in order words, calculating for the needs
+    def __need(self):
+        need = list()
+        for i in range(len(self.__allocated_resources_table)):
+            need.append(list(np.array(self.__maximum_claim_table[i])
+                                     - np.array(self.__allocated_resources_table[i])))
+        return need
+
+    # build an index control dictionary to track original ids/indices
+    #  of processes during removals in core operation
+    def __need_index_manager(self):
+        ni_manager = dict()
+        for i in self.__need():
+            ni_manager.update({self.__need().index(i): i})
+        return ni_manager
+
+    # core operation of the banker's algorithm
+    def main(self, **kwargs):
+        need_list = self.__need()
+        alloc_resources_table = self.__allocated_resources_table
+        available_resources = self.__available_resources()
+        need_index_manager = self.__need_index_manager()
+        # display information if needed
+        # get the parameter that handles display
+        for kw, val in kwargs.items():
+            if kw and val is True:
+                self.__pretty_data()
+            elif kw and val is False:
+                print ("[Warning] Muting data description.\n")
+            else:
+                print ("[Warning] Muting data description.\n")
+        print("{:_^50}\n".format("_"))
+        while len(need_list) != 0:
+            safe = False
+            for each_need in need_list:
+                execution = True
+                for i in range(len(each_need)):
+                    if each_need[i] > available_resources[i]:
+                        execution = False
+                        break
+
+                if execution:
+                    safe = True
+                    # get the original index of the process from ind_ctrl db
+                    for original_need_index, need_clone in need_index_manager.items():
+                        if each_need == need_clone:
+                            process_number = original_need_index
+                    # display the process id based on entry
+                    print('Process {} is executing.'.format(process_number + 1))
+                    # remove the process run from stack
+                    need_list.remove(each_need)
+                    # update available/freed resources stack
+                    available_resources = np.array(available_resources) + \
+                                                         np.array(alloc_resources_table[process_number])
+                    # display available memory
+                    print("Updated available resource stack for processes: {}"
+                          .format(" ".join([str(x) for x in available_resources])))
+                    break
+                else:
+                    pass
+
+            if safe:
+                print("The process is in a safe state.\n")
+
+            if not safe:
+                print("System in unsafe state. Aborting...\n")
+                break
+
+    # pretty display description of the allocated, maximum and claim
+    # vector of the resources available
+    def __pretty_data(self):
+
+        # Information on Allocation Resource Table
+        print("{:>8}".format("      Allocated Resource Table"))
+        # print("{:^11} {:^8} {:^8} {:^8} {:^8}".format("  A", "B", "C", "D", "E"))
+        # print("{:_^11} {:_^8} {:_^8} {:_^8} {:_^8}".format("  ", "_", "_", "_", "_"))
+        for item in self.__allocated_resources_table:
+            print("P{}".format(str(self.__allocated_resources_table.index(item) + 1)), end=" ")
+            for it in item:
+                print("{:^8}".format(it), end=" ")
+            print("\n")
+
+        # Information on Current System Resources
+        print("{:>8}".format("      System Resource Table"))
+        # print("{:^11} {:^8} {:^8} {:^8} {:^8}".format("  A", "B", "C", "D", "E"))
+        # print("{:_^11} {:_^8} {:_^8} {:_^8} {:_^8}".format("  ", "_", "_", "_", "_"))
+        for item in self.__maximum_claim_table:
+            print("P{}".format(str(self.__maximum_claim_table.index(item) + 1)), end=" ")
+            for it in item:
+                print("{:^8}".format(it), end=" ")
+            print("\n")
+
+        # Information on Current Resource Usage by processes
+        print("Current Usage by Active Processes: {:>11}"
+              .format(str(" ".join([str(x) for x in self.__claim_vector]))))
+        # Information on Current Resource Usage by processes
+        print("Initial Available Resources: {:>15}"
+              .format(str(" ".join([str(x) for x in
+                                    self.__available_resources()]))))
+        # make table visible during display
+        time.sleep(1)
+
+
+# test algorithm
+def main():
+    # test 1
+    test_1_claim_vector = [8, 5, 9, 7]
+    test_1_allocated_res_table = [[2, 0, 1, 1],
+                                [0, 1, 2, 1],
+                                [4, 0, 0, 3],
+                                [0, 2, 1, 0],
+                                [1, 0, 3, 0]]
+    test_1_maximum_claim_table = [[3, 2, 1, 4],
+                                [0, 2, 5, 2],
+                                [5, 1, 0, 5],
+                                [1, 5, 3, 0],
+                                [3, 0, 3, 3]]
+    # test 2
+    test_2_claim_vector = [6, 5, 7, 6]
+    test_2_allocated_res_table = [[1, 2, 2, 1],
+                                [1, 0, 3, 3],
+                                [1, 2, 1, 0]]
+    test_2_maximum_claim_table = [[3, 3, 2, 2],
+                                [1, 2, 3, 4],
+                                [1, 3, 5, 0]]
+
+    Bankers_algorithm(test_1_claim_vector, test_1_allocated_res_table,
+                    test_1_maximum_claim_table).main(describe=True)
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file

From 24181c2261c79d0f4554b2452bb63becf8b0f031 Mon Sep 17 00:00:00 2001
From: bluedistro <bineykingsley36@gmail.com>
Date: Wed, 25 Dec 2019 15:35:37 +0000
Subject: [PATCH 2/5] simple face_detection algorithm suitable for API services

---
 .../face_detection/detect_face.py             |    17 +
 .../haarcascade_frontalface_alt.xml           | 24350 ++++++++++++++++
 Image_Processing/face_detection/im1.jpg       |   Bin 0 -> 285183 bytes
 Image_Processing/face_detection/wms.jpeg      |   Bin 0 -> 5178 bytes
 4 files changed, 24367 insertions(+)
 create mode 100644 Image_Processing/face_detection/detect_face.py
 create mode 100644 Image_Processing/face_detection/haarcascade_frontalface_alt.xml
 create mode 100644 Image_Processing/face_detection/im1.jpg
 create mode 100644 Image_Processing/face_detection/wms.jpeg

diff --git a/Image_Processing/face_detection/detect_face.py b/Image_Processing/face_detection/detect_face.py
new file mode 100644
index 000000000000..116d7fcfda2a
--- /dev/null
+++ b/Image_Processing/face_detection/detect_face.py
@@ -0,0 +1,17 @@
+# simple face detectin algorithm to detect the presence of at least a face in an image provided.
+import cv2, os
+
+''' 
+    :input => image path
+    :output => boolean corresponding to the detection of a face or not
+    TRUE if face(s) detected. else FALSE
+'''
+
+def detect_face(image):
+    gray = cv2.cvtColor(cv2.imread(image), cv2.COLOR_BGR2GRAY)
+    cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
+    faces = cascade.detectMultiScale(gray, 1.03, 3)
+    return len(faces) > 0
+
+if __name__ == "__main__":
+    print(detect_face('im1.jpg'))
\ No newline at end of file
diff --git a/Image_Processing/face_detection/haarcascade_frontalface_alt.xml b/Image_Processing/face_detection/haarcascade_frontalface_alt.xml
new file mode 100644
index 000000000000..ade4b2121a68
--- /dev/null
+++ b/Image_Processing/face_detection/haarcascade_frontalface_alt.xml
@@ -0,0 +1,24350 @@
+<?xml version="1.0"?>
+<!--
+    Stump-based 20x20 gentle adaboost frontal face detector.
+    Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+  By downloading, copying, installing or using the software you agree to this license.
+  If you do not agree to this license, do not download, install,
+  copy or use the software.
+
+
+                        Intel License Agreement
+                For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+   * Redistribution's of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+   * Redistribution's in binary form must reproduce the above copyright notice,
+     this list of conditions and the following disclaimer in the documentation
+     and/or other materials provided with the distribution.
+
+   * The name of Intel Corporation may not be used to endorse or promote products
+     derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
+<opencv_storage>
+<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
+  <featureType>HAAR</featureType>
+  <height>20</height>
+  <width>20</width>
+  <stageParams>
+    <maxWeakCount>213</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>0</maxCatCount></featureParams>
+  <stageNum>22</stageNum>
+  <stages>
+    <_>
+      <maxWeakCount>3</maxWeakCount>
+      <stageThreshold>8.2268941402435303e-01</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 0 4.0141958743333817e-03</internalNodes>
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+    <_>
+      <maxWeakCount>16</maxWeakCount>
+      <stageThreshold>6.9566087722778320e+00</stageThreshold>
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From fb813c86be74462de8b1d9c6dc6a46aed5d88b7a Mon Sep 17 00:00:00 2001
From: bluedistro <bineykingsley36@gmail.com>
Date: Wed, 25 Dec 2019 19:00:13 +0000
Subject: [PATCH 3/5] minor changes

---
 Image_Processing/face_detection/detect_face.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Image_Processing/face_detection/detect_face.py b/Image_Processing/face_detection/detect_face.py
index 116d7fcfda2a..0be763e6cbb7 100644
--- a/Image_Processing/face_detection/detect_face.py
+++ b/Image_Processing/face_detection/detect_face.py
@@ -14,4 +14,4 @@ def detect_face(image):
     return len(faces) > 0
 
 if __name__ == "__main__":
-    print(detect_face('im1.jpg'))
\ No newline at end of file
+    print(detect_face('im1.jpg'))

From 164f8fb2f6ce6a0813af5d968eb9b2094ca4cbcc Mon Sep 17 00:00:00 2001
From: bluedistro <bineykingsley36@gmail.com>
Date: Wed, 25 Dec 2019 20:50:07 +0000
Subject: [PATCH 4/5] removed unused module from import

---
 Image_Processing/face_detection/detect_face.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Image_Processing/face_detection/detect_face.py b/Image_Processing/face_detection/detect_face.py
index 0be763e6cbb7..0f957707bb5c 100644
--- a/Image_Processing/face_detection/detect_face.py
+++ b/Image_Processing/face_detection/detect_face.py
@@ -1,12 +1,10 @@
 # simple face detectin algorithm to detect the presence of at least a face in an image provided.
-import cv2, os
-
 ''' 
     :input => image path
     :output => boolean corresponding to the detection of a face or not
     TRUE if face(s) detected. else FALSE
 '''
-
+import cv2
 def detect_face(image):
     gray = cv2.cvtColor(cv2.imread(image), cv2.COLOR_BGR2GRAY)
     cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')

From f64963f94a6e1b7951619d6aff0566b550e87716 Mon Sep 17 00:00:00 2001
From: bluedistro <bineykingsley36@gmail.com>
Date: Wed, 25 Dec 2019 21:39:22 +0000
Subject: [PATCH 5/5] renamed directory with lower case

---
 .../face_detection/detect_face.py                   |   0
 .../face_detection/haarcascade_frontalface_alt.xml  |   0
 .../face_detection/im1.jpg                          | Bin
 .../face_detection/wms.jpeg                         | Bin
 4 files changed, 0 insertions(+), 0 deletions(-)
 rename {Image_Processing => image_processing}/face_detection/detect_face.py (100%)
 rename {Image_Processing => image_processing}/face_detection/haarcascade_frontalface_alt.xml (100%)
 rename {Image_Processing => image_processing}/face_detection/im1.jpg (100%)
 rename {Image_Processing => image_processing}/face_detection/wms.jpeg (100%)

diff --git a/Image_Processing/face_detection/detect_face.py b/image_processing/face_detection/detect_face.py
similarity index 100%
rename from Image_Processing/face_detection/detect_face.py
rename to image_processing/face_detection/detect_face.py
diff --git a/Image_Processing/face_detection/haarcascade_frontalface_alt.xml b/image_processing/face_detection/haarcascade_frontalface_alt.xml
similarity index 100%
rename from Image_Processing/face_detection/haarcascade_frontalface_alt.xml
rename to image_processing/face_detection/haarcascade_frontalface_alt.xml
diff --git a/Image_Processing/face_detection/im1.jpg b/image_processing/face_detection/im1.jpg
similarity index 100%
rename from Image_Processing/face_detection/im1.jpg
rename to image_processing/face_detection/im1.jpg
diff --git a/Image_Processing/face_detection/wms.jpeg b/image_processing/face_detection/wms.jpeg
similarity index 100%
rename from Image_Processing/face_detection/wms.jpeg
rename to image_processing/face_detection/wms.jpeg