def decrypt(cipherlist):
"""列をリストのリストの要素に変換し、暗号文を復号する"""
col_combos = perms.perms(COLS)
for key in col_combos:
translation_matrix = [None] * COLS
plaintext = ""
start = 0
stop = ROWS
for k in key:
if k < 0: # 列を下から上に読む
col_items = cipherlist[start:stop]
elif k > 0: # 列を上から下に読む
col_items = list(reversed(cipherlist[start:stop]))
translation_matrix[abs(k) - 1] = col_items
start += ROWS
stop += ROWS
for i in range(ROWS):
for matrix_col in translation_matrix:
word = str(matrix_col.pop())
plaintext += word + " "
print("\n使用する鍵 = {}".format(key))
print("変換結果 = {}".format(plaintext))
print("\n鍵の数 = {}".format(len(col_combos)))
def decrypt(cipherlist):
"""
Turn columns into items in list of lists & decrypt ciphertext.
"""
col_combos = perms.perms(COLS)
for key in col_combos:
translation_matrix = [None] * COLS
plaintext = ''
start = 0
stop = ROWS
for k in key:
if k < 0: # reading bottom-to-top of column
col_items = cipherlist[start:stop]
elif k > 0: # reading top-to-bottom of columnn
col_items = list((reversed(cipherlist[start:stop])))
translation_matrix[abs(k) - 1] = col_items
start += ROWS
stop += ROWS
# loop through nested lists popping off last item to a new list:
for i in range(ROWS):
for matrix_col in translation_matrix:
word = str(matrix_col.pop())
plaintext += word + ' '
print("\nusing key = {}".format(key))
print("translated = {}".format(plaintext))
print("\nnumber of keys = {}".format(len(col_combos)))
def perm_matrix(size):
"""
__params__:
size : size of the matrix you want to create
"""
org_matrix = np.identity(size)
string = [str(i) for i in range(0, size)]
all_strings = p.perms("".join(string))
all_matrix = []
for k, v in enumerate(all_strings):
matrix = np.zeros((size, size))
#perm matrix is square in cases of graphs adj matrix
#do this with list comprehension
for key, i in enumerate(v):
matrix[key][int(i)] = 1
all_matrix.append(matrix)
#print all_matrix[2]
return all_matrix
def perm_matrix(size):
"""
__params__:
size : size of the matrix you want to create
"""
org_matrix = np.identity(size)
string = [str(i) for i in range(0,size)]
all_strings = p.perms("".join(string))
all_matrix = []
for k,v in enumerate(all_strings):
matrix = np.zeros((size,size))
#perm matrix is square in cases of graphs adj matrix
#do this with list comprehension
for key,i in enumerate(v):
matrix[key][int(i)] = 1
all_matrix.append(matrix)
#print all_matrix[2]
return all_matrix