craftbeerpi4-pione/venv/lib/python3.8/site-packages/pandas/tests/indexes/test_indexing.py

"""
test_indexing tests the following Index methods:
    __getitem__
    get_loc
    get_value
    __contains__
    take
    where
    get_indexer
    slice_locs
    asof_locs

The corresponding tests.indexes.[index_type].test_indexing files
contain tests for the corresponding methods specific to those Index subclasses.
"""
import numpy as np
import pytest

from pandas import (
    DatetimeIndex,
    Float64Index,
    Index,
    Int64Index,
    PeriodIndex,
    TimedeltaIndex,
    UInt64Index,
)
import pandas._testing as tm


class TestTake:
    def test_take_invalid_kwargs(self, index):
        indices = [1, 2]

        msg = r"take\(\) got an unexpected keyword argument 'foo'"
        with pytest.raises(TypeError, match=msg):
            index.take(indices, foo=2)

        msg = "the 'out' parameter is not supported"
        with pytest.raises(ValueError, match=msg):
            index.take(indices, out=indices)

        msg = "the 'mode' parameter is not supported"
        with pytest.raises(ValueError, match=msg):
            index.take(indices, mode="clip")

    def test_take(self, index):
        indexer = [4, 3, 0, 2]
        if len(index) < 5:
            # not enough elements; ignore
            return

        result = index.take(indexer)
        expected = index[indexer]
        assert result.equals(expected)

        if not isinstance(index, (DatetimeIndex, PeriodIndex, TimedeltaIndex)):
            # GH 10791
            msg = r"'(.*Index)' object has no attribute 'freq'"
            with pytest.raises(AttributeError, match=msg):
                index.freq

    def test_take_minus1_without_fill(self, index):
        # -1 does not get treated as NA unless allow_fill=True is passed
        if len(index) == 0:
            # Test is not applicable
            return

        result = index.take([0, 0, -1])

        expected = index.take([0, 0, len(index) - 1])
        tm.assert_index_equal(result, expected)


class TestContains:
    @pytest.mark.parametrize(
        "index,val",
        [
            (Index([0, 1, 2]), 2),
            (Index([0, 1, "2"]), "2"),
            (Index([0, 1, 2, np.inf, 4]), 4),
            (Index([0, 1, 2, np.nan, 4]), 4),
            (Index([0, 1, 2, np.inf]), np.inf),
            (Index([0, 1, 2, np.nan]), np.nan),
        ],
    )
    def test_index_contains(self, index, val):
        assert val in index

    @pytest.mark.parametrize(
        "index,val",
        [
            (Index([0, 1, 2]), "2"),
            (Index([0, 1, "2"]), 2),
            (Index([0, 1, 2, np.inf]), 4),
            (Index([0, 1, 2, np.nan]), 4),
            (Index([0, 1, 2, np.inf]), np.nan),
            (Index([0, 1, 2, np.nan]), np.inf),
            # Checking if np.inf in Int64Index should not cause an OverflowError
            # Related to GH 16957
            (Int64Index([0, 1, 2]), np.inf),
            (Int64Index([0, 1, 2]), np.nan),
            (UInt64Index([0, 1, 2]), np.inf),
            (UInt64Index([0, 1, 2]), np.nan),
        ],
    )
    def test_index_not_contains(self, index, val):
        assert val not in index

    @pytest.mark.parametrize(
        "index,val", [(Index([0, 1, "2"]), 0), (Index([0, 1, "2"]), "2")]
    )
    def test_mixed_index_contains(self, index, val):
        # GH#19860
        assert val in index

    @pytest.mark.parametrize(
        "index,val", [(Index([0, 1, "2"]), "1"), (Index([0, 1, "2"]), 2)]
    )
    def test_mixed_index_not_contains(self, index, val):
        # GH#19860
        assert val not in index

    def test_contains_with_float_index(self):
        # GH#22085
        integer_index = Int64Index([0, 1, 2, 3])
        uinteger_index = UInt64Index([0, 1, 2, 3])
        float_index = Float64Index([0.1, 1.1, 2.2, 3.3])

        for index in (integer_index, uinteger_index):
            assert 1.1 not in index
            assert 1.0 in index
            assert 1 in index

        assert 1.1 in float_index
        assert 1.0 not in float_index
        assert 1 not in float_index


@pytest.mark.parametrize(
    "idx", [Index([1, 2, 3]), Index([0.1, 0.2, 0.3]), Index(["a", "b", "c"])]
)
def test_getitem_deprecated_float(idx):
    # https://github.com/pandas-dev/pandas/issues/34191

    with tm.assert_produces_warning(FutureWarning):
        result = idx[1.0]

    expected = idx[1]
    assert result == expected