X-Git-Url: https://git.njae.me.uk/?a=blobdiff_plain;f=hill.py;fp=hill.py;h=75048f9a52ddd3840ef19d614455de848f314153;hb=3d8f7067b9c3a48ef140d7cff834d18ee91f58b3;hp=0000000000000000000000000000000000000000;hpb=21c390a77d42729afa23844ef2f1295106bed3de;p=cipher-tools.git

diff --git a/hill.py b/hill.py
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--- /dev/null
+++ b/hill.py
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+from utilities import *
+from language_models import *
+import multiprocessing
+import numpy as np
+from numpy import matrix
+from numpy import linalg
+
+from logger import logger
+
+
+def hill_encipher(matrix, message_letters, fillvalue='a'):
+    """Hill cipher
+
+    >>> hill_encipher(np.matrix([[7,8], [11,11]]), 'hellothere')
+    'drjiqzdrvx'
+    >>> hill_encipher(np.matrix([[6, 24, 1], [13, 16, 10], [20, 17, 15]]), \
+        'hello there')
+    'tfjflpznvyac'
+    """
+    n = len(matrix)
+    sanitised_message = sanitise(message_letters)
+    if len(sanitised_message) % n != 0:
+        padding = fillvalue[0] * (n - len(sanitised_message) % n)
+    else:
+        padding = ''
+    message = [pos(c) for c in sanitised_message + padding]
+    message_chunks = [message[i:i+n] for i in range(0, len(message), n)]
+    # message_chunks = chunks(message, len(matrix), fillvalue=None)
+    enciphered_chunks = [((matrix * np.matrix(c).T).T).tolist()[0] 
+            for c in message_chunks]
+    return cat([unpos(round(l))
+            for l in sum(enciphered_chunks, [])])
+
+def hill_decipher(matrix, message, fillvalue='a'):
+    """Hill cipher
+
+    >>> hill_decipher(np.matrix([[7,8], [11,11]]), 'drjiqzdrvx')
+    'hellothere'
+    >>> hill_decipher(np.matrix([[6, 24, 1], [13, 16, 10], [20, 17, 15]]), \
+        'tfjflpznvyac')
+    'hellothereaa'
+    """
+    adjoint = linalg.det(matrix)*linalg.inv(matrix)
+    inverse_determinant = modular_division_table[int(round(linalg.det(matrix))) % 26][1]
+    inverse_matrix = (inverse_determinant * adjoint) % 26
+    return hill_encipher(inverse_matrix, message, fillvalue)          
+
+def hill_break(message, matrix_size=2, fitness=Pletters, 
+    number_of_solutions=1, chunksize=500):
+
+    all_matrices = [np.matrix(list(m)) 
+        for m in itertools.product([list(r) 
+            for r in itertools.product(range(26), repeat=matrix_size)], 
+        repeat=matrix_size)]
+    valid_matrices = [m for m, d in 
+        zip(all_matrices, (int(round(linalg.det(m))) for m in all_matrices))
+                  if d != 0
+                  if d % 2 != 0
+                  if d % 13 != 0 ]
+    with multiprocessing.Pool() as pool:
+        helper_args = [(message, matrix, fitness)
+                       for matrix in valid_matrices]
+        # Gotcha: the helper function here needs to be defined at the top level
+        #   (limitation of Pool.starmap)
+        breaks = pool.starmap(hill_break_worker, helper_args, chunksize)
+        if number_of_solutions == 1:
+            return max(breaks, key=lambda k: k[1])
+        else:
+            return sorted(breaks, key=lambda k: k[1], reverse=True)[:number_of_solutions]
+
+def hill_break_worker(message, matrix, fitness):
+    plaintext = hill_decipher(matrix, message)
+    fit = fitness(plaintext)
+    logger.debug('Hill cipher break attempt using key {0} gives fit of '
+                 '{1} and decrypt starting: {2}'.format(matrix, 
+                     fit, sanitise(plaintext)[:50]))
+    return matrix, fit
+
+if __name__ == "__main__":
+    import doctest
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