import pandas._testing as tm
from pandas.api import types

from .test_api import Base


class TestTypes(Base):

    allowed = [
        "is_bool",
        "is_bool_dtype",
        "is_categorical",
        "is_categorical_dtype",
        "is_complex",
        "is_complex_dtype",
        "is_datetime64_any_dtype",
        "is_datetime64_dtype",
        "is_datetime64_ns_dtype",
        "is_datetime64tz_dtype",
        "is_dtype_equal",
        "is_float",
        "is_float_dtype",
        "is_int64_dtype",
        "is_integer",
        "is_integer_dtype",
        "is_number",
        "is_numeric_dtype",
        "is_object_dtype",
        "is_scalar",
        "is_sparse",
        "is_string_dtype",
        "is_signed_integer_dtype",
        "is_timedelta64_dtype",
        "is_timedelta64_ns_dtype",
        "is_unsigned_integer_dtype",
        "is_period_dtype",
        "is_interval",
        "is_interval_dtype",
        "is_re",
        "is_re_compilable",
        "is_dict_like",
        "is_iterator",
        "is_file_like",
        "is_list_like",
        "is_hashable",
        "is_array_like",
        "is_named_tuple",
        "pandas_dtype",
        "union_categoricals",
        "infer_dtype",
        "is_extension_array_dtype",
    ]
    deprecated = ["is_extension_type"]
    dtypes = ["CategoricalDtype", "DatetimeTZDtype", "PeriodDtype", "IntervalDtype"]

    def test_types(self):

        self.check(types, self.allowed + self.dtypes + self.deprecated)

    def test_deprecated_from_api_types(self):

        for t in self.deprecated:
            with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
                getattr(types, t)(1)