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vthily/normalizeAcronym.py

Last active June 9, 2022 03:13
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  1. vthily revised this gist May 18, 2022. No changes.
  2. vthily created this gist May 6, 2022.
    26 changes: 26 additions & 0 deletions normalizeAcronym.py
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    #!/usr/bin/python3

    import functools

    def normalizeAcronyms(inputStrInWords):
    # Step1: Add extra space to prevent concatenate with previous word
    inputStrInWords = list(map(lambda a: a+' ' if len(a) > 1 else a, inputStrInWords))

    # Step2: Remove the underscore, eg: c_d_a, l_p_a, etc.
    inputStrInWords = list(map(lambda a: a.replace('_', '').upper() if '_' in a else a, inputStrInWords))

    # Step3: Combine if the next word is a single letter.
    retStr = functools.reduce(lambda a, b: a+b.upper() if len(b)==1 else a + ' ' + b, inputStrInWords)

    # Step4: Uppercase the first letter in the sentence
    retStr = retStr[0].upper() + retStr[1:]

    # Step5: Clean the space as added in the step1.
    return retStr.replace(' ', ' ')

    if __name__ == '__main__':
    inputStrInWords = ['c', 'd', 'a', 'trustee', 'and', 'b', 'b']
    normalizeAcronyms(inputStr)