(terms: Iterable[str])
Clean up a sequence of single- or multi-word terms as strings:
    strip leading/trailing junk chars, handle dangling parens and odd hyphenation,
    and normalize whitespace.

    Args:
        terms: Sequence of terms such as "environment", "plastic pollution",
            or "fossil fuel industry" that may be _unclean_ for whatever reason.

    Yields:
        Next term in ``terms`` but with the cruft cleaned up, excluding terms
        that were entirely cruft

    Warning:
        Terms with (intentionally) unusual punctuation may get "cleaned"
        into a form that changes or obscures the original meaning of the term.
Clean up a sequence of single- or multi-word terms as strings:
    strip leading/trailing junk chars, handle dangling parens and odd hyphenation,
    and normalize whitespace.
Clean up a sequence of single - or multi - word terms as strings : strip leading / trailing junk chars handle dangling parens and odd hyphenation and normalize whitespace .
def clean_term_strings(terms: Iterable[str]) -> Iterable[str]:
    """
    Clean up a sequence of single- or multi-word terms as strings:
    strip leading/trailing junk chars, handle dangling parens and odd hyphenation,
    and normalize whitespace.

    Args:
        terms: Sequence of terms such as "environment", "plastic pollution",
            or "fossil fuel industry" that may be _unclean_ for whatever reason.

    Yields:
        Next term in ``terms`` but with the cruft cleaned up, excluding terms
        that were entirely cruft

    Warning:
        Terms with (intentionally) unusual punctuation may get "cleaned"
        into a form that changes or obscures the original meaning of the term.
    """
    # get rid of leading/trailing junk characters
    terms = (constants.RE_LEAD_TAIL_CRUFT_TERM.sub("", term) for term in terms)
    terms = (constants.RE_LEAD_HYPHEN_TERM.sub(r"\1", term) for term in terms)
    # handle dangling/backwards parens, don't allow '(' or ')' to appear alone
    terms = (
        ""
        if term.count(")") != term.count("(") or term.find(")") < term.find("(")
        else term
        if "(" not in term
        else constants.RE_DANGLING_PARENS_TERM.sub(r"\1\2\3", term)
        for term in terms
    )
    # handle oddly separated hyphenated words
    terms = (
        term
        if "-" not in term
        else constants.RE_NEG_DIGIT_TERM.sub(
            r"\1\2", constants.RE_WEIRD_HYPHEN_SPACE_TERM.sub(r"\1", term)
        )
        for term in terms
    )
    # handle oddly separated apostrophe'd words
    terms = (
        constants.RE_WEIRD_APOSTR_SPACE_TERM.sub(r"\1\2", term) if "'" in term else term
        for term in terms
    )
    # normalize whitespace
    terms = (constants.RE_NONBREAKING_SPACE.sub(" ", term).strip() for term in terms)
    for term in terms:
        if re.search(r"\w", term):
            yield term
def clean_term_strings ( terms : Iterable [ str ] ) -> Iterable [ str ] : # get rid of leading/trailing junk characters terms = ( constants . RE_LEAD_TAIL_CRUFT_TERM . sub ( "" , term ) for term in terms ) terms = ( constants . RE_LEAD_HYPHEN_TERM . sub ( r"\1" , term ) for term in terms ) # handle dangling/backwards parens, don't allow '(' or ')' to appear alone terms = ( "" if term . count ( ")" ) != term . count ( "(" ) or term . find ( ")" ) < term . find ( "(" ) else term if "(" not in term else constants . RE_DANGLING_PARENS_TERM . sub ( r"\1\2\3" , term ) for term in terms ) # handle oddly separated hyphenated words terms = ( term if "-" not in term else constants . RE_NEG_DIGIT_TERM . sub ( r"\1\2" , constants . RE_WEIRD_HYPHEN_SPACE_TERM . sub ( r"\1" , term ) ) for term in terms ) # handle oddly separated apostrophe'd words terms = ( constants . RE_WEIRD_APOSTR_SPACE_TERM . sub ( r"\1\2" , term ) if "'" in term else term for term in terms ) # normalize whitespace terms = ( constants . RE_NONBREAKING_SPACE . sub ( " " , term ) . strip ( ) for term in terms ) for term in terms : if re . search ( r"\w" , term ) : yield term