How to use the fuzzywuzzy.utils function in fuzzywuzzy

def test_asciionly(self):
        for s in self.mixed_strings:
            # ascii only only runs on strings
            s = utils.asciidammit(s)
            utils.asciionly(s)

def testCaseInsensitive(self):
        self.assertNotEqual(fuzz.ratio(self.s1, self.s2), 100)
        self.assertEqual(fuzz.ratio(utils.full_process(self.s1), utils.full_process(self.s2)), 100)

def scorers_processors():
    """
    Generate a list of (scorer, processor) pairs for testing

    :return: [(scorer, processor), ...]
    """
    scorers = [fuzz.ratio,
               fuzz.partial_ratio]
    processors = [lambda x: x,
                  partial(utils.full_process, force_ascii=False),
                  partial(utils.full_process, force_ascii=True)]
    splist = list(product(scorers, processors))
    splist.extend(
        [(fuzz.WRatio, partial(utils.full_process, force_ascii=True)),
         (fuzz.QRatio, partial(utils.full_process, force_ascii=True)),
         (fuzz.UWRatio, partial(utils.full_process, force_ascii=False)),
         (fuzz.UQRatio, partial(utils.full_process, force_ascii=False)),
         (fuzz.token_set_ratio, partial(utils.full_process, force_ascii=True)),
         (fuzz.token_sort_ratio, partial(utils.full_process, force_ascii=True)),
         (fuzz.partial_token_set_ratio, partial(utils.full_process, force_ascii=True)),
         (fuzz.partial_token_sort_ratio, partial(utils.full_process, force_ascii=True))]
    )

    return splist

def testCheckForNone(self):
        invalid_input = [
            (None, None),
            ('Some', None),
            (None, 'Some')
        ]
        decorated_func = utils.check_for_none(self.testFunc)
        for i in invalid_input:
            self.assertEqual(decorated_func(*i), 0)

        valid_input = ('Some', 'Some')
        actual = decorated_func(*valid_input)
        self.assertNotEqual(actual, 0)

def _process_and_sort(s, force_ascii, full_process=True):
    """Return a cleaned string with token sorted."""
    # pull tokens
    ts = utils.full_process(s, force_ascii=force_ascii) if full_process else s
    tokens = ts.split()

    # sort tokens and join
    sorted_string = u" ".join(sorted(tokens))
    return sorted_string.strip()

(on top of any partial scalars)

    #. Take the highest value from these results
       round it and return it as an integer.

    :param s1:
    :param s2:
    :param force_ascii: Allow only ascii characters
    :type force_ascii: bool
    :full_process: Process inputs, used here to avoid double processing in extract functions (Default: True)
    :return:
    """

    if full_process:
        p1 = utils.full_process(s1, force_ascii=force_ascii)
        p2 = utils.full_process(s2, force_ascii=force_ascii)
    else:
        p1 = s1
        p2 = s2

    if not utils.validate_string(p1):
        return 0
    if not utils.validate_string(p2):
        return 0

    # should we look at partials?
    try_partial = True
    unbase_scale = .95
    partial_scale = .90

    base = ratio(p1, p2)
    len_ratio = float(max(len(p1), len(p2))) / min(len(p1), len(p2))

def fp_ratio(s1, s2, force_ascii=True, full_process=True):
    """
    Return a measure of the sequences' similarity between 0 and 100, using fuzz.ratio and fuzz.partial_ratio.
    """
    if full_process:
        p1 = utils.full_process(s1, force_ascii=force_ascii)
        p2 = utils.full_process(s2, force_ascii=force_ascii)
    else:
        p1 = s1
        p2 = s2

    if not utils.validate_string(p1):
        return 0
    if not utils.validate_string(p2):
        return 0

    # should we look at partials?
    try_partial = True
    partial_scale = .9

    base = fuzz.ratio(p1, p2)
    len_ratio = float(max(len(p1), len(p2))-1) / min(len(p1), len(p2))

@utils.check_for_equivalence
@utils.check_empty_string
def ratio(s1, s2):
    s1, s2 = utils.make_type_consistent(s1, s2)

    m = SequenceMatcher(None, s1, s2)
    return utils.intr(100 * m.ratio())

processor = no_process

    # Run the processor on the input query.
    processed_query = processor(query)

    if len(processed_query) == 0:
        logging.warning(u"Applied processor reduces input query to empty string, "
                        "all comparisons will have score 0. "
                        "[Query: \'{0}\']".format(query))

    # Don't run full_process twice
    if scorer in [fuzz.WRatio, fuzz.QRatio,
                  fuzz.token_set_ratio, fuzz.token_sort_ratio,
                  fuzz.partial_token_set_ratio, fuzz.partial_token_sort_ratio,
                  fuzz.UWRatio, fuzz.UQRatio] \
            and processor == utils.full_process:
        processor = no_process

    # Only process the query once instead of for every choice
    if scorer in [fuzz.UWRatio, fuzz.UQRatio]:
        pre_processor = partial(utils.full_process, force_ascii=False)
        scorer = partial(scorer, full_process=False)
    elif scorer in [fuzz.WRatio, fuzz.QRatio,
                    fuzz.token_set_ratio, fuzz.token_sort_ratio,
                    fuzz.partial_token_set_ratio, fuzz.partial_token_sort_ratio]:
        pre_processor = partial(utils.full_process, force_ascii=True)
        scorer = partial(scorer, full_process=False)
    else:
        pre_processor = no_process
    processed_query = pre_processor(processed_query)

    try: