<commit_before>from warnings import catch_warnings

import numpy as np
import pytest

from pandas.core.dtypes import generic as gt

import pandas as pd
import pandas._testing as tm


class TestABCClasses:
    tuples = [[1, 2, 2], ["red", "blue", "red"]]
    multi_index = pd.MultiIndex.from_arrays(tuples, names=("number", "color"))
    datetime_index = pd.to_datetime(["2000/1/1", "2010/1/1"])
    timedelta_index = pd.to_timedelta(np.arange(5), unit="s")
    period_index = pd.period_range("2000/1/1", "2010/1/1/", freq="M")
    categorical = pd.Categorical([1, 2, 3], categories=[2, 3, 1])
    categorical_df = pd.DataFrame({"values": [1, 2, 3]}, index=categorical)
    df = pd.DataFrame({"names": ["a", "b", "c"]}, index=multi_index)
    sparse_array = pd.arrays.SparseArray(np.random.randn(10))
    datetime_array = pd.core.arrays.DatetimeArray(datetime_index)
    timedelta_array = pd.core.arrays.TimedeltaArray(timedelta_index)

    def test_abc_types(self):
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(["a", "b", "c"]), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndex)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        assert isinstance(self.sparse_array, gt.ABCExtensionArray)
        assert isinstance(self.categorical, gt.ABCCategorical)

        assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
        assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)

        assert isinstance(self.timedelta_array, gt.ABCTimedeltaArray)
        assert not isinstance(self.timedelta_index, gt.ABCTimedeltaArray)

    abc_pairs = [
        ("ABCInt64Index", pd.Int64Index([1, 2, 3])),
        ("ABCUInt64Index", pd.UInt64Index([1, 2, 3])),
        ("ABCFloat64Index", pd.Float64Index([1, 2, 3])),
        ("ABCMultiIndex", multi_index),
        ("ABCDatetimeIndex", datetime_index),
        ("ABCRangeIndex", pd.RangeIndex(3)),
        ("ABCTimedeltaIndex", timedelta_index),<commit_msg>TST/CLN: Remove duplicate abc tests (#38818)<commit_after>from warnings import catch_warnings

import numpy as np
import pytest

from pandas.core.dtypes import generic as gt

import pandas as pd
import pandas._testing as tm


class TestABCClasses:
    tuples = [[1, 2, 2], ["red", "blue", "red"]]
    multi_index = pd.MultiIndex.from_arrays(tuples, names=("number", "color"))
    datetime_index = pd.to_datetime(["2000/1/1", "2010/1/1"])
    timedelta_index = pd.to_timedelta(np.arange(5), unit="s")
    period_index = pd.period_range("2000/1/1", "2010/1/1/", freq="M")
    categorical = pd.Categorical([1, 2, 3], categories=[2, 3, 1])
    categorical_df = pd.DataFrame({"values": [1, 2, 3]}, index=categorical)
    df = pd.DataFrame({"names": ["a", "b", "c"]}, index=multi_index)
    sparse_array = pd.arrays.SparseArray(np.random.randn(10))
    datetime_array = pd.core.arrays.DatetimeArray(datetime_index)
    timedelta_array = pd.core.arrays.TimedeltaArray(timedelta_index)

    abc_pairs = [
        ("ABCInt64Index", pd.Int64Index([1, 2, 3])),
        ("ABCUInt64Index", pd.UInt64Index([1, 2, 3])),
        ("ABCFloat64Index", pd.Float64Index([1, 2, 3])),
        ("ABCMultiIndex", multi_index),
        ("ABCDatetimeIndex", datetime_index),
        ("ABCRangeIndex", pd.RangeIndex(3)),
        ("ABCTimedeltaIndex", timedelta_index),
{'fraction_non_alphanumeric': 0.1500769625448948, 'fraction_numerical': 0.04002052334530529, 'mean_word_length': 4.0967320261437905, 'pattern_counts': {'":': 4, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2119468', 'n_tokens_mistral': 1480, 'n_tokens_neox': 1372, 'n_words': 260}