<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def match(uidentities, matcher, fastmode=False):
 """Find matches in a set of unique identities. This function looks for possible similar or equal identities from a set of unique identities. The result will be a list of subsets where each subset is a list of matching identities. When `fastmode` is set a new and experimental matching algorithm will be used. It consumes more resources (a big amount of memory) but it is, at least, two orders of maginute faster than the classic algorithm. :param uidentities: list of unique identities to match :param matcher: instance of the matcher :param fastmode: use a faster algorithm :returns: a list of subsets with the matched unique identities :raises MatcherNotSupportedError: when matcher does not support fast mode matching :raises TypeError: when matcher is not an instance of IdentityMatcher class """

    if not isinstance(matcher, IdentityMatcher):
        raise TypeError("matcher is not an instance of IdentityMatcher")

    if fastmode:
        try:
            matcher.matching_criteria()
        except NotImplementedError:
            name = "'%s (fast mode)'" % matcher.__class__.__name__.lower()
            raise MatcherNotSupportedError(matcher=name)

    filtered, no_filtered, uuids = \
        _filter_unique_identities(uidentities, matcher)

    if not fastmode:
        matched = _match(filtered, matcher)
    else:
        matched = _match_with_pandas(filtered, matcher)

    matched = _build_matches(matched, uuids, no_filtered, fastmode)

    return matched