def ngrams(text, n):
"""Returns all n-grams of a text
- >>> ngrams(sanitise('the quick brown fox'), 2)
- ['th', 'he', 'eq', 'qu', 'ui', 'ic', 'ck', 'kb', 'br', 'ro', 'ow', 'wn', 'nf', 'fo', 'ox']
- >>> ngrams(sanitise('the quick brown fox'), 4)
- ['theq', 'hequ', 'equi', 'quic', 'uick', 'ickb', 'ckbr', 'kbro', 'brow', 'rown', 'ownf', 'wnfo', 'nfox']
+ >>> ngrams(sanitise('the quick brown fox'), 2) # doctest: +NORMALIZE_WHITESPACE
+ ['th', 'he', 'eq', 'qu', 'ui', 'ic', 'ck', 'kb', 'br', 'ro', 'ow', 'wn',
+ 'nf', 'fo', 'ox']
+ >>> ngrams(sanitise('the quick brown fox'), 4) # doctest: +NORMALIZE_WHITESPACE
+ ['theq', 'hequ', 'equi', 'quic', 'uick', 'ickb', 'ckbr', 'kbro', 'brow',
+ 'rown', 'ownf', 'wnfo', 'nfox']
"""
return [text[i:i+n] for i in range(len(text)-n+1)]
['afkpuz', 'bglqv', 'chmrw', 'dinsx', 'ejoty']
>>> every_nth(string.ascii_lowercase, 1)
['abcdefghijklmnopqrstuvwxyz']
- >>> every_nth(string.ascii_lowercase, 26)
- ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
+ >>> every_nth(string.ascii_lowercase, 26) # doctest: +NORMALIZE_WHITESPACE
+ ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n',
+ 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
"""
split_text = [text[i:i+n] for i in range(0, len(text), n)]
return [''.join(l) for l in zip_longest(*split_text, fillvalue='')]
>>> combine_every_nth(every_nth(string.ascii_lowercase, 26))
'abcdefghijklmnopqrstuvwxyz'
"""
- return ''.join([''.join(l) for l in zip_longest(*split_text, fillvalue='')])
+ return ''.join([''.join(l)
+ for l in zip_longest(*split_text, fillvalue='')])
def frequencies(text):
>>> sorted(frequencies('abcdefabc').items())
[('a', 2), ('b', 2), ('c', 2), ('d', 1), ('e', 1), ('f', 1)]
- >>> sorted(frequencies('the quick brown fox jumped over the lazy dog').items())
- [(' ', 8), ('a', 1), ('b', 1), ('c', 1), ('d', 2), ('e', 4), ('f', 1), ('g', 1), ('h', 2), ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1), ('n', 1), ('o', 4), ('p', 1), ('q', 1), ('r', 2), ('t', 2), ('u', 2), ('v', 1), ('w', 1), ('x', 1), ('y', 1), ('z', 1)]
- >>> sorted(frequencies('The Quick BROWN fox jumped! over... the (9lazy) DOG').items())
- [(' ', 8), ('!', 1), ('(', 1), (')', 1), ('.', 3), ('9', 1), ('B', 1), ('D', 1), ('G', 1), ('N', 1), ('O', 2), ('Q', 1), ('R', 1), ('T', 1), ('W', 1), ('a', 1), ('c', 1), ('d', 1), ('e', 4), ('f', 1), ('h', 2), ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1), ('o', 2), ('p', 1), ('r', 1), ('t', 1), ('u', 2), ('v', 1), ('x', 1), ('y', 1), ('z', 1)]
- >>> sorted(frequencies(sanitise('The Quick BROWN fox jumped! over... the (9lazy) DOG')).items())
- [('a', 1), ('b', 1), ('c', 1), ('d', 2), ('e', 4), ('f', 1), ('g', 1), ('h', 2), ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1), ('n', 1), ('o', 4), ('p', 1), ('q', 1), ('r', 2), ('t', 2), ('u', 2), ('v', 1), ('w', 1), ('x', 1), ('y', 1), ('z', 1)]
+ >>> sorted(frequencies('the quick brown fox jumped over the lazy dog').items()) # doctest: +NORMALIZE_WHITESPACE
+ [(' ', 8), ('a', 1), ('b', 1), ('c', 1), ('d', 2), ('e', 4), ('f', 1),
+ ('g', 1), ('h', 2), ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1),
+ ('n', 1), ('o', 4), ('p', 1), ('q', 1), ('r', 2), ('t', 2), ('u', 2),
+ ('v', 1), ('w', 1), ('x', 1), ('y', 1), ('z', 1)]
+ >>> sorted(frequencies('The Quick BROWN fox jumped! over... the (9lazy) DOG').items()) # doctest: +NORMALIZE_WHITESPACE
+ [(' ', 8), ('!', 1), ('(', 1), (')', 1), ('.', 3), ('9', 1), ('B', 1),
+ ('D', 1), ('G', 1), ('N', 1), ('O', 2), ('Q', 1), ('R', 1), ('T', 1),
+ ('W', 1), ('a', 1), ('c', 1), ('d', 1), ('e', 4), ('f', 1), ('h', 2),
+ ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1), ('o', 2), ('p', 1),
+ ('r', 1), ('t', 1), ('u', 2), ('v', 1), ('x', 1), ('y', 1), ('z', 1)]
+ >>> sorted(frequencies(sanitise('The Quick BROWN fox jumped! over... the (9lazy) DOG')).items()) # doctest: +NORMALIZE_WHITESPACE
+ [('a', 1), ('b', 1), ('c', 1), ('d', 2), ('e', 4), ('f', 1), ('g', 1),
+ ('h', 2), ('i', 1), ('j', 1), ('k', 1), ('l', 1), ('m', 1), ('n', 1),
+ ('o', 4), ('p', 1), ('q', 1), ('r', 2), ('t', 2), ('u', 2), ('v', 1),
+ ('w', 1), ('x', 1), ('y', 1), ('z', 1)]
"""
counts = collections.defaultdict(int)
for c in text:
alphabet_start = ord('A')
else:
alphabet_start = ord('a')
- return chr(((ord(letter) - alphabet_start + shift) % 26) + alphabet_start)
+ return chr(((ord(letter) - alphabet_start + shift) % 26) +
+ alphabet_start)
else:
return letter
alphabet_start = ord('a')
cipher_number = ord(letter) - alphabet_start
if one_based: cipher_number += 1
- plaintext_number = modular_division_table[multiplier][(cipher_number - adder) % 26]
+ plaintext_number = ( modular_division_table[multiplier]
+ [(cipher_number - adder) % 26] )
if one_based: plaintext_number -= 1
return chr(plaintext_number % 26 + alphabet_start)
else:
>>> affine_encipher('hours passed during which jerico tried every trick he could think of', 15, 22, True)
'lmyfu bkuusd dyfaxw claol psfaom jfasd snsfg jfaoe ls omytd jlaxe mh'
"""
- enciphered = [affine_encipher_letter(l, multiplier, adder, one_based) for l in message]
+ enciphered = [affine_encipher_letter(l, multiplier, adder, one_based)
+ for l in message]
return ''.join(enciphered)
def affine_decipher(message, multiplier=1, adder=0, one_based=True):
>>> affine_decipher('lmyfu bkuusd dyfaxw claol psfaom jfasd snsfg jfaoe ls omytd jlaxe mh', 15, 22, True)
'hours passed during which jerico tried every trick he could think of'
"""
- enciphered = [affine_decipher_letter(l, multiplier, adder, one_based) for l in message]
+ enciphered = [affine_decipher_letter(l, multiplier, adder, one_based)
+ for l in message]
return ''.join(enciphered)
'bayeszcdfghijklmnopqrtuvwx'
"""
if wrap_alphabet == 0:
- cipher_alphabet = ''.join(deduplicate(sanitise(keyword) + string.ascii_lowercase))
+ cipher_alphabet = ''.join(deduplicate(sanitise(keyword) +
+ string.ascii_lowercase))
else:
if wrap_alphabet == 1:
last_keyword_letter = deduplicate(sanitise(keyword))[-1]
else:
last_keyword_letter = sorted(sanitise(keyword))[-1]
- last_keyword_position = string.ascii_lowercase.find(last_keyword_letter) + 1
- cipher_alphabet = ''.join(deduplicate(sanitise(keyword) +
- string.ascii_lowercase[last_keyword_position:] +
- string.ascii_lowercase))
+ last_keyword_position = string.ascii_lowercase.find(
+ last_keyword_letter) + 1
+ cipher_alphabet = ''.join(
+ deduplicate(sanitise(keyword) +
+ string.ascii_lowercase[last_keyword_position:] +
+ string.ascii_lowercase))
return cipher_alphabet
if len(message) % rows != 0:
message += ' '*(rows - len(message) % rows)
row_length = round(len(message) / rows)
- slices = [message[i:i+row_length] for i in range(0, len(message), row_length)]
+ slices = [message[i:i+row_length]
+ for i in range(0, len(message), row_length)]
return ''.join([''.join(r) for r in zip_longest(*slices, fillvalue='')])
def scytale_decipher(message, rows):
return ''.join([''.join(c) for c in zip_longest(*columns, fillvalue='')])
-def caesar_break(message, metric=norms.euclidean_distance, target_counts=normalised_english_counts, message_frequency_scaling=norms.normalise):
+def caesar_break(message,
+ metric=norms.euclidean_distance,
+ target_counts=normalised_english_counts,
+ message_frequency_scaling=norms.normalise):
"""Breaks a Caesar cipher using frequency analysis
>>> caesar_break('ibxcsyorsaqcheyklxivoexlevmrimwxsfiqevvmihrsasrxliwyrhecjsppsamrkwleppfmergefifvmhixscsymjcsyqeoixlm') # doctest: +ELLIPSIS
plaintext = caesar_decipher(sanitised_message, shift)
counts = message_frequency_scaling(letter_frequencies(plaintext))
fit = metric(target_counts, counts)
- logger.debug('Caesar break attempt using key {0} gives fit of {1} and decrypt starting: {2}'.format(shift, fit, plaintext[:50]))
+ logger.debug('Caesar break attempt using key {0} gives fit of {1} '
+ 'and decrypt starting: {2}'.format(shift, fit, plaintext[:50]))
if fit < best_fit:
best_fit = fit
best_shift = shift
- logger.info('Caesar break best fit: key {0} gives fit of {1} and decrypt starting: {2}'.format(best_shift, best_fit, caesar_decipher(sanitised_message, best_shift)[:50]))
+ logger.info('Caesar break best fit: key {0} gives fit of {1} and '
+ 'decrypt starting: {2}'.format(best_shift, best_fit,
+ caesar_decipher(sanitised_message, best_shift)[:50]))
return best_shift, best_fit
-def affine_break(message, metric=norms.euclidean_distance, target_counts=normalised_english_counts, message_frequency_scaling=norms.normalise):
+def affine_break(message,
+ metric=norms.euclidean_distance,
+ target_counts=normalised_english_counts,
+ message_frequency_scaling=norms.normalise):
"""Breaks an affine cipher using frequency analysis
>>> affine_break('lmyfu bkuusd dyfaxw claol psfaom jfasd snsfg jfaoe ls omytd jlaxe mh jm bfmibj umis hfsul axubafkjamx. ls kffkxwsd jls ofgbjmwfkiu olfmxmtmwaokttg jlsx ls kffkxwsd jlsi zg tsxwjl. jlsx ls umfjsd jlsi zg hfsqysxog. ls dmmdtsd mx jls bats mh bkbsf. ls bfmctsd kfmyxd jls lyj, mztanamyu xmc jm clm cku tmmeaxw kj lai kxd clm ckuxj.') # doctest: +ELLIPSIS
for one_based in [True, False]:
for multiplier in range(1, 26, 2):
for adder in range(26):
- plaintext = affine_decipher(sanitised_message, multiplier, adder, one_based)
+ plaintext = affine_decipher(sanitised_message,
+ multiplier, adder, one_based)
counts = message_frequency_scaling(letter_frequencies(plaintext))
fit = metric(target_counts, counts)
- logger.debug('Affine break attempt using key {0}x+{1} ({2}) gives fit of {3} and decrypt starting: {4}'.format(multiplier, adder, one_based, fit, plaintext[:50]))
+ logger.debug('Affine break attempt using key {0}x+{1} ({2}) '
+ 'gives fit of {3} and decrypt starting: {4}'.
+ format(multiplier, adder, one_based, fit,
+ plaintext[:50]))
if fit < best_fit:
best_fit = fit
best_multiplier = multiplier
best_adder = adder
best_one_based = one_based
- logger.info('Affine break best fit with key {0}x+{1} ({2}) gives fit of {3} and decrypt starting: {4}'.format(best_multiplier, best_adder, best_one_based, best_fit, affine_decipher(sanitised_message, best_multiplier, best_adder, best_one_based)[:50]))
+ logger.info('Affine break best fit with key {0}x+{1} ({2}) gives fit of {3} '
+ 'and decrypt starting: {4}'.format(
+ best_multiplier, best_adder, best_one_based, best_fit,
+ affine_decipher(sanitised_message, best_multiplier,
+ best_adder, best_one_based)[:50]))
return (best_multiplier, best_adder, best_one_based), best_fit
-def keyword_break(message, wordlist=keywords, metric=norms.euclidean_distance, target_counts=normalised_english_counts, message_frequency_scaling=norms.normalise):
- """Breaks a keyword substitution cipher using a dictionary and frequency analysis
+def keyword_break(message,
+ wordlist=keywords,
+ metric=norms.euclidean_distance,
+ target_counts=normalised_english_counts,
+ message_frequency_scaling=norms.normalise):
+ """Breaks a keyword substitution cipher using a dictionary and
+ frequency analysis
>>> keyword_break(keyword_encipher('this is a test message for the keyword decipherment', 'elephant', 1), wordlist=['cat', 'elephant', 'kangaroo']) # doctest: +ELLIPSIS
(('elephant', 1), 0.41643991598441...)
plaintext = keyword_decipher(message, keyword, wrap_alphabet)
counts = message_frequency_scaling(letter_frequencies(plaintext))
fit = metric(target_counts, counts)
- logger.debug('Keyword break attempt using key {0} (wrap={1}) gives fit of {2} and decrypt starting: {3}'.format(keyword, wrap_alphabet, fit, sanitise(plaintext)[:50]))
+ logger.debug('Keyword break attempt using key {0} (wrap={1}) '
+ 'gives fit of {2} and decrypt starting: {3}'.format(
+ keyword, wrap_alphabet, fit,
+ sanitise(plaintext)[:50]))
if fit < best_fit:
best_fit = fit
best_keyword = keyword
best_wrap_alphabet = wrap_alphabet
- logger.info('Keyword break best fit with key {0} (wrap={1}) gives fit of {2} and decrypt starting: {3}'.format(best_keyword, best_wrap_alphabet, best_fit, sanitise(keyword_decipher(message, best_keyword))[:50]))
+ logger.info('Keyword break best fit with key {0} (wrap={1}) gives fit of '
+ '{2} and decrypt starting: {3}'.format(best_keyword,
+ best_wrap_alphabet, best_fit, sanitise(
+ keyword_decipher(message, best_keyword,
+ best_wrap_alphabet))[:50]))
return (best_keyword, best_wrap_alphabet), best_fit
-def keyword_break_mp(message, wordlist=keywords, metric=norms.euclidean_distance, target_counts=normalised_english_counts, message_frequency_scaling=norms.normalise, chunksize=500):
- """Breaks a keyword substitution cipher using a dictionary and frequency analysis
+def keyword_break_mp(message,
+ wordlist=keywords,
+ metric=norms.euclidean_distance,
+ target_counts=normalised_english_counts,
+ message_frequency_scaling=norms.normalise,
+ chunksize=500):
+ """Breaks a keyword substitution cipher using a dictionary and
+ frequency analysis
>>> keyword_break_mp(keyword_encipher('this is a test message for the keyword decipherment', 'elephant', 1), wordlist=['cat', 'elephant', 'kangaroo']) # doctest: +ELLIPSIS
(('elephant', 1), 0.41643991598441...)
"""
with Pool() as pool:
- helper_args = [(message, word, wrap, metric, target_counts, message_frequency_scaling) for word in wordlist for wrap in range(3)]
+ helper_args = [(message, word, wrap, metric, target_counts,
+ message_frequency_scaling)
+ for word in wordlist for wrap in range(3)]
breaks = pool.starmap(keyword_break_one, helper_args, chunksize) # Gotcha: the helper function here needs to be defined at the top level (limitation of Pool.starmap)
return min(breaks, key=lambda k: k[1])
-def keyword_break_one(message, keyword, wrap_alphabet, metric, target_counts, message_frequency_scaling):
+def keyword_break_one(message, keyword, wrap_alphabet, metric, target_counts,
+ message_frequency_scaling):
plaintext = keyword_decipher(message, keyword, wrap_alphabet)
counts = message_frequency_scaling(letter_frequencies(plaintext))
fit = metric(target_counts, counts)
- logger.debug('Keyword break attempt using key {0} (wrap={1}) gives fit of {2} and decrypt starting: {3}'.format(keyword, wrap_alphabet, fit, sanitise(plaintext)[:50]))
+ logger.debug('Keyword break attempt using key {0} (wrap={1}) gives fit of '
+ '{2} and decrypt starting: {3}'.format(keyword,
+ wrap_alphabet, fit, sanitise(plaintext)[:50]))
return (keyword, wrap_alphabet), fit
-def scytale_break(message, metric=norms.euclidean_distance, target_counts=normalised_english_bigram_counts, message_frequency_scaling=norms.normalise):
+def scytale_break(message,
+ metric=norms.euclidean_distance,
+ target_counts=normalised_english_bigram_counts,
+ message_frequency_scaling=norms.normalise):
"""Breaks a Scytale cipher
>>> scytale_break('tfeulchtrtteehwahsdehneoifeayfsondmwpltmaoalhikotoeredcweatehiplwxsnhooacgorrcrcraotohsgullasenylrendaianeplscdriiotoaek') # doctest: +ELLIPSIS
for key in range(1, 20):
if len(message) % key == 0:
plaintext = scytale_decipher(message, key)
- counts = message_frequency_scaling(frequencies(ngrams(sanitise(plaintext), 2)))
+ counts = message_frequency_scaling(frequencies(
+ ngrams(sanitise(plaintext), 2)))
fit = metric(target_counts, counts)
- logger.debug('Scytale break attempt using key {0} gives fit of {1} and decrypt starting: {2}'.format(key, fit, sanitise(plaintext)[:50]))
+ logger.debug('Scytale break attempt using key {0} gives fit of '
+ '{1} and decrypt starting: {2}'.format(key,
+ fit, sanitise(plaintext)[:50]))
if fit < best_fit:
best_fit = fit
best_key = key
- logger.info('Scytale break best fit with key {0} gives fit of {1} and decrypt starting: {2}'.format(best_key, best_fit, sanitise(scytale_decipher(message, best_key))[:50]))
+ logger.info('Scytale break best fit with key {0} gives fit of {1} and '
+ 'decrypt starting: {2}'.format(best_key, best_fit,
+ sanitise(scytale_decipher(message, best_key))[:50]))
return best_key, best_fit
projects / cipher-tools.git / commitdiff