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freqAnalysis.py
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# Frequency Finder
# https://www.nostarch.com/crackingcodes (BSD Licensed)
ETAOIN = 'ETAOINSHRDLCUMWFGYPBVKJXQZ'
LETTERS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
def getLetterCount(message):
# Returns a dictionary with keys of single letters and values of the
# count of how many times they appear in the message parameter:
letterCount = {'A': 0, 'B': 0, 'C': 0, 'D': 0, 'E': 0, 'F': 0, 'G': 0, 'H': 0, 'I': 0, 'J': 0, 'K': 0, 'L': 0, 'M': 0, 'N': 0, 'O': 0, 'P': 0, 'Q': 0, 'R': 0, 'S': 0, 'T': 0, 'U': 0, 'V': 0, 'W': 0, 'X': 0, 'Y': 0, 'Z': 0}
for letter in message.upper():
if letter in LETTERS:
letterCount[letter] += 1
return letterCount
def getItemAtIndexZero(items):
return items[0]
def getFrequencyOrder(message):
# Returns a string of the alphabet letters arranged in order of most
# frequently occurring in the message parameter.
# First, get a dictionary of each letter and its frequency count:
letterToFreq = getLetterCount(message)
# Second, make a dictionary of each frequency count to each letter(s)
# with that frequency:
freqToLetter = {}
for letter in LETTERS:
if letterToFreq[letter] not in freqToLetter:
freqToLetter[letterToFreq[letter]] = [letter]
else:
freqToLetter[letterToFreq[letter]].append(letter)
# Third, put each list of letters in reverse "ETAOIN" order, and then
# convert it to a string:
for freq in freqToLetter:
freqToLetter[freq].sort(key=ETAOIN.find, reverse=True)
freqToLetter[freq] = ''.join(freqToLetter[freq])
# Fourth, convert the freqToLetter dictionary to a list of
# tuple pairs (key, value), then sort them:
freqPairs = list(freqToLetter.items())
freqPairs.sort(key=getItemAtIndexZero, reverse=True)
# Fifth, now that the letters are ordered by frequency, extract all
# the letters for the final string:
freqOrder = []
for freqPair in freqPairs:
freqOrder.append(freqPair[1])
return ''.join(freqOrder)
def englishFreqMatchScore(message):
# Return the number of matches that the string in the message
# parameter has when its letter frequency is compared to English
# letter frequency. A "match" is how many of its six most frequent
# and six least frequent letters is among the six most frequent and
# six least frequent letters for English.
freqOrder = getFrequencyOrder(message)
matchScore = 0
# Find how many matches for the six most common letters there are:
for commonLetter in ETAOIN[:6]:
if commonLetter in freqOrder[:6]:
matchScore += 1
# Find how many matches for the six least common letters there are:
for uncommonLetter in ETAOIN[-6:]:
if uncommonLetter in freqOrder[-6:]:
matchScore += 1
return matchScore