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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 eff_default_transformer(fills=EFF_DEFAULT_FILLS):
 """ Return a simple transformer function for parsing EFF annotations. N.B., ignores all but the first effect. """

    def _transformer(vals):
        if len(vals) == 0:
            return fills
        else:
            # ignore all but first effect
            match_eff_main = _prog_eff_main.match(vals[0])
            if match_eff_main is None:
                logging.warning(
                    'match_eff_main is None: vals={}'.format(str(vals[0]))
                )
                return fills
            eff = [match_eff_main.group(1)] \
                + match_eff_main.group(2).split(b'|')
            result = tuple(
                fill if v == b''
                else int(v) if i == 5 or i == 10
                else (1 if v == b'CODING' else 0) if i == 8
                else v
                for i, (v, fill) in enumerate(list(zip(eff, fills))[:11])
            )
            return result
    return _transformer