import numpy as np
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import pytest
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from pandas import (
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Series,
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array,
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)
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import pandas._testing as tm
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@pytest.fixture(params=[None, False])
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def sort(request):
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"""
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Valid values for the 'sort' parameter used in the Index
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setops methods (intersection, union, etc.)
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Caution:
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Don't confuse this one with the "sort" fixture used
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for DataFrame.append or concat. That one has
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parameters [True, False].
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We can't combine them as sort=True is not permitted
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in the Index setops methods.
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"""
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return request.param
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@pytest.fixture(params=["D", "3D", "-3D", "H", "2H", "-2H", "T", "2T", "S", "-3S"])
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def freq_sample(request):
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"""
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Valid values for 'freq' parameter used to create date_range and
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timedelta_range..
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"""
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return request.param
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@pytest.fixture(params=[list, tuple, np.array, array, Series])
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def listlike_box(request):
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"""
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Types that may be passed as the indexer to searchsorted.
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"""
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return request.param
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@pytest.fixture(
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params=tm.ALL_REAL_NUMPY_DTYPES
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+ [
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"object",
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"category",
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"datetime64[ns]",
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"timedelta64[ns]",
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]
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)
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def any_dtype_for_small_pos_integer_indexes(request):
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"""
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Dtypes that can be given to an Index with small positive integers.
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This means that for any dtype `x` in the params list, `Index([1, 2, 3], dtype=x)` is
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valid and gives the correct Index (sub-)class.
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"""
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return request.param
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