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* Travis CI: Add type checking with mypy * Create requirements.txt * script: mypy --ignore-missing-stubs=cv2,numpy . * Delete requirements.txt * script: mypy --ignore-missing-imports . * Run doctests * Disable doctest -v other/detecting_english_programmatically.py * Pytest * No | * pytest || true * Run black doctest flake8 mypy pytest * after_success: Build Directory.md * Typo in filename: Dictionary.txt --> dictionary.txt' Discovered via doctest run in #964 * python -m doctest -v * pip install black flake8 mypy pytest * pytest --doctest-glob='*.py' * pytest --doctest-modules * pytest --doctest-modules ./sorts * pytest --doctest-modules ./ciphers ./other ./searches ./sorts ./strings || true * if __name__ == "__main__": * if __name__ == "__main__": * if __name__ == '__main__': * if __name__ == '__main__': * if __name__ == '__main__': * Create requirements.txt * Update requirements.txt * if __name__ == "__main__": * Lose the doctests * if __name__ == '__main__': * Remove print-a-tuple * doctest: Added missing spaces * Update tabu_search.py * The >>> are not doctests so change to >>) * Travis CI: Run black, doctest, flake8, mypy, and pytest * Link to the separate DIRECTORY.md file * Update README.md
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
import os
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UPPERLETTERS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
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LETTERS_AND_SPACE = UPPERLETTERS + UPPERLETTERS.lower() + ' \t\n'
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def loadDictionary():
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path = os.path.split(os.path.realpath(__file__))
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englishWords = {}
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with open(path[0] + '/dictionary.txt') as dictionaryFile:
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for word in dictionaryFile.read().split('\n'):
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englishWords[word] = None
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return englishWords
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ENGLISH_WORDS = loadDictionary()
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def getEnglishCount(message):
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message = message.upper()
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message = removeNonLetters(message)
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possibleWords = message.split()
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if possibleWords == []:
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return 0.0
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matches = 0
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for word in possibleWords:
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if word in ENGLISH_WORDS:
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matches += 1
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return float(matches) / len(possibleWords)
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def removeNonLetters(message):
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lettersOnly = []
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for symbol in message:
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if symbol in LETTERS_AND_SPACE:
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lettersOnly.append(symbol)
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return ''.join(lettersOnly)
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def isEnglish(message, wordPercentage = 20, letterPercentage = 85):
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"""
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>>> isEnglish('Hello World')
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True
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>>> isEnglish('llold HorWd')
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False
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"""
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wordsMatch = getEnglishCount(message) * 100 >= wordPercentage
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numLetters = len(removeNonLetters(message))
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messageLettersPercentage = (float(numLetters) / len(message)) * 100
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lettersMatch = messageLettersPercentage >= letterPercentage
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return wordsMatch and lettersMatch
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import doctest
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doctest.testmod()
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