#!/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)