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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def pdftotext_conversion_is_bad(txtlines):
 """Check if conversion after pdftotext is bad. Sometimes pdftotext performs a bad conversion which consists of many spaces and garbage characters. This method takes a list of strings obtained from a pdftotext conversion and examines them to see if they are likely to be the result of a bad conversion. :param txtlines: (list) of unicode strings obtained from pdftotext conversion. :return: (integer) - 1 if bad conversion; 0 if good conversion. """

    # Numbers of 'words' and 'whitespaces' found in document:
    numWords = numSpaces = 0
    # whitespace character pattern:
    p_space = re.compile(unicode(r'(\s)'), re.UNICODE)
    # non-whitespace 'word' pattern:
    p_noSpace = re.compile(unicode(r'(\S+)'), re.UNICODE)
    for txtline in txtlines:
        numWords = numWords + len(p_noSpace.findall(txtline.strip()))
        numSpaces = numSpaces + len(p_space.findall(txtline.strip()))
    if numSpaces >= (numWords * 3):
        # Too many spaces - probably bad conversion
        return True
    else:
        return False