How to use the clevercsv.field_size_limit function in clevercsv

def test_read_bigfield(self):
        limit = clevercsv.field_size_limit()
        try:
            size = 500
            bigstring = "X" * size
            bigline = "%s,%s" % (bigstring, bigstring)
            self._read_test([bigline], [[bigstring, bigstring]])
            clevercsv.field_size_limit(size)
            self._read_test([bigline], [[bigstring, bigstring]])
            self.assertEqual(clevercsv.field_size_limit(), size)
            clevercsv.field_size_limit(size=-1)
            self.assertRaises(clevercsv.Error, self._read_test, [bigline], [])
            self.assertRaises(TypeError, clevercsv.field_size_limit, None)
            self.assertRaises(TypeError, clevercsv.field_size_limit, 1, None)
        finally:
            clevercsv.field_size_limit(limit)

def test_read_bigfield(self):
        limit = clevercsv.field_size_limit()
        try:
            size = 500
            bigstring = "X" * size
            bigline = "%s,%s" % (bigstring, bigstring)
            self._read_test([bigline], [[bigstring, bigstring]])
            clevercsv.field_size_limit(size)
            self._read_test([bigline], [[bigstring, bigstring]])
            self.assertEqual(clevercsv.field_size_limit(), size)
            clevercsv.field_size_limit(size=-1)
            self.assertRaises(clevercsv.Error, self._read_test, [bigline], [])
            self.assertRaises(TypeError, clevercsv.field_size_limit, None)
            self.assertRaises(TypeError, clevercsv.field_size_limit, 1, None)
        finally:
            clevercsv.field_size_limit(limit)

def test_read_bigfield(self):
        limit = clevercsv.field_size_limit()
        try:
            size = 500
            bigstring = "X" * size
            bigline = "%s,%s" % (bigstring, bigstring)
            self._read_test([bigline], [[bigstring, bigstring]])
            clevercsv.field_size_limit(size)
            self._read_test([bigline], [[bigstring, bigstring]])
            self.assertEqual(clevercsv.field_size_limit(), size)
            clevercsv.field_size_limit(size=-1)
            self.assertRaises(clevercsv.Error, self._read_test, [bigline], [])
            self.assertRaises(TypeError, clevercsv.field_size_limit, None)
            self.assertRaises(TypeError, clevercsv.field_size_limit, 1, None)
        finally:
            clevercsv.field_size_limit(limit)

def detect_consistency_dialects(data, dialects, verbose=False):
    """Wrapper for dialect detection with the consistency measure

    This function takes a list of dialects to consider.
    """
    log = lambda *a, **kw: print(*a, **kw) if verbose else None
    log("Considering %i dialects." % len(dialects))

    old_limit = field_size_limit(len(data) + 1)
    scores = consistency_scores(data, dialects, skip=True, logger=log)
    H = get_best_set(scores)
    result = break_ties(data, H)
    field_size_limit(old_limit)

    return result

def detect_consistency_dialects(data, dialects, verbose=False):
    """Wrapper for dialect detection with the consistency measure

    This function takes a list of dialects to consider.
    """
    log = lambda *a, **kw: print(*a, **kw) if verbose else None
    log("Considering %i dialects." % len(dialects))

    old_limit = field_size_limit(len(data) + 1)
    scores = consistency_scores(data, dialects, skip=True, logger=log)
    H = get_best_set(scores)
    result = break_ties(data, H)
    field_size_limit(old_limit)

    return result

def __iter__(self):
        self.parser_gen = Parser(
            self.csvfile,
            delimiter=self.dialect.delimiter,
            quotechar=self.dialect.quotechar,
            escapechar=self.dialect.escapechar,
            field_limit=field_size_limit(),
            strict=self.dialect.strict,
        )
        return self