How to use the cartoframes.utils.columns.normalize_name function in cartoframes

def get_test_table_name(self, name):
        n = len(self.test_tables) + 1
        table_name = normalize_name(
            'cf_test_table_{name}_{n}_{slug}'.format(name=name, n=n, slug=self.test_slug)
        )
        self.test_tables.append(table_name)
        return table_name

def get_test_table_name(self, name):
        n = len(self.test_tables) + 1
        table_name = normalize_name(
            'cf_test_table_{name}_{n}_{slug}'.format(name=name, n=n, slug=self.test_slug)
        )
        self.test_tables.append(table_name)
        return table_name

# for writing to carto
        self.test_write_table = normalize_name(
            'cf_test_table_{}'.format(test_slug)
        )

        self.mixed_case_table = normalize_name(
            'AbCdEfG_{}'.format(test_slug)
        )

        # for batch writing to carto
        self.test_write_batch_table = normalize_name(
            'cf_testbatch_table_{}'.format(test_slug)
        )

        self.test_write_lnglat_table = normalize_name(
            'cf_testwrite_lnglat_table_{}'.format(test_slug)
        )

        self.write_named_index = normalize_name(
            'cf_testwrite_non_default_index_{}'.format(test_slug)
        )

        # for queries
        self.test_query_table = normalize_name(
            'cf_testquery_table_{}'.format(test_slug)
        )

        self.test_delete_table = normalize_name(
            'cf_testdelete_table_{}'.format(test_slug)
        )

# sets skip value
        WILL_SKIP = self.apikey is None or self.username is None  # noqa: F841

        # table naming info
        has_mpl = 'mpl' if os.environ.get('MPLBACKEND') else 'nonmpl'
        has_gpd = 'gpd' if os.environ.get('USE_GEOPANDAS') else 'nongpd'
        pyver = sys.version[0:3].replace('.', '_')
        buildnum = os.environ.get('TRAVIS_BUILD_NUMBER') or 'none'

        test_slug = '{ver}_{num}_{mpl}_{gpd}'.format(
            ver=pyver, num=buildnum, mpl=has_mpl, gpd=has_gpd
        )

        # for writing to carto
        self.test_write_table = normalize_name(
            'cf_test_table_{}'.format(test_slug)
        )

        self.base_url = self.user_url().format(username=self.username)
        self.credentials = Credentials(self.username, self.apikey, self.base_url)
        self.sql_client = SQLClient(self.credentials)

        self.test_geojson = {
            "type": "FeatureCollection",
            "features": [
                {
                    "type": "Feature",
                    "properties": {},
                    "geometry": {
                        "type": "Point",
                        "coordinates": [

)

        # test tables
        self.test_read_table = 'cb_2013_us_csa_500k'
        self.valid_columns = set(['affgeoid', 'aland', 'awater', 'created_at',
                                  'csafp', 'geoid', 'lsad', 'name', 'the_geom',
                                  'updated_at'])
        # torque table
        self.test_point_table = 'tweets_obama'

        # for writing to carto
        self.test_write_table = normalize_name(
            'cf_test_table_{}'.format(test_slug)
        )

        self.mixed_case_table = normalize_name(
            'AbCdEfG_{}'.format(test_slug)
        )

        # for batch writing to carto
        self.test_write_batch_table = normalize_name(
            'cf_testbatch_table_{}'.format(test_slug)
        )

        self.test_write_lnglat_table = normalize_name(
            'cf_testwrite_lnglat_table_{}'.format(test_slug)
        )

        self.write_named_index = normalize_name(
            'cf_testwrite_non_default_index_{}'.format(test_slug)
        )

def normalize_table_name(self, table_name):
        norm_table_name = normalize_name(table_name)
        if norm_table_name != table_name:
            log.debug('Table name normalized: "{}"'.format(norm_table_name))
        return norm_table_name

def is_table_name(data):
    # avoid circular dependecies
    from .columns import normalize_name
    return isinstance(data, str) and normalize_name(data) == data