Added installation for pip

entro_py_min/entro_py_min.py

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+import math
+
+
+# Calculates the entropy of a given string
+# Returns the entropy and an alphabet with the calculated probabilities
+def calculateEntropy(input_string):
+    alphabet, alphabet_size, entropy = {}, 0, 0
+
+    for char in input_string:
+        if char in alphabet:
+            alphabet[char] += 1
+        else:
+            alphabet[char] = 1
+        alphabet_size += 1
+
+    for char in alphabet:
+        alphabet[char] = alphabet[char] / alphabet_size
+        entropy -= alphabet[char] * math.log(alphabet[char], 2)
+
+    return entropy, alphabet
+
+
+# Calculates the entropy of a given string
+# Returns only the entropy in bits as this is the minimal function
+def calculateEntropyMin(input_string):
+    alphabet, alphabet_size, entropy = {}, 0, 0
+
+    for char in input_string:
+        if char in alphabet:
+            alphabet[char] += 1
+        else:
+            alphabet[char] = 1
+        alphabet_size += 1
+
+    for char in alphabet:
+        i = alphabet[char] / alphabet_size
+        entropy -= i * math.log(i, 2)
+
+    return entropy
+
+
+# Outputs a given entropy including the original text and the alphabet with probabilities
+def printEntropy(original_string, entropy_value, alphabet_dict, simple_bool, max_value):
+    print('---')
+    if not simple_bool:
+        print('Content: ' + original_string)
+        print('Probabilities: ' + str(alphabet_dict))
+    print('Entropy: ' + str(entropy_value) + ' bits')
+    if max_value:
+        print('Maximum Entropy: ' + str(max_value) + ' bits')
+    print('---')
+
+
+# Reads a file by a given path
+def readEntropyFile(path_string):
+    f = open(path_string, 'r')
+    content = f.read().replace('\n', ' ')
+    f.close()
+    return content.strip()