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159 lines
4.0 KiB
159 lines
4.0 KiB
"""
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This file contains a minimal set of tests for compliance with the extension
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array interface test suite, and should contain no other tests.
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The test suite for the full functionality of the array is located in
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`pandas/tests/arrays/`.
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The tests in this file are inherited from the BaseExtensionTests, and only
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minimal tweaks should be applied to get the tests passing (by overwriting a
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parent method).
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Additional tests should either be added to one of the BaseExtensionTests
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classes (if they are relevant for the extension interface for all dtypes), or
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be added to the array-specific tests in `pandas/tests/arrays/`.
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"""
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import numpy as np
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import pytest
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from pandas.core.dtypes.dtypes import DatetimeTZDtype
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import pandas as pd
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import pandas._testing as tm
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from pandas.core.arrays import DatetimeArray
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from pandas.tests.extension import base
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@pytest.fixture(params=["US/Central"])
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def dtype(request):
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return DatetimeTZDtype(unit="ns", tz=request.param)
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@pytest.fixture
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def data(dtype):
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data = DatetimeArray(pd.date_range("2000", periods=100, tz=dtype.tz), dtype=dtype)
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return data
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@pytest.fixture
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def data_missing(dtype):
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return DatetimeArray(
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np.array(["NaT", "2000-01-01"], dtype="datetime64[ns]"), dtype=dtype
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)
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@pytest.fixture
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def data_for_sorting(dtype):
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a = pd.Timestamp("2000-01-01")
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b = pd.Timestamp("2000-01-02")
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c = pd.Timestamp("2000-01-03")
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return DatetimeArray(np.array([b, c, a], dtype="datetime64[ns]"), dtype=dtype)
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@pytest.fixture
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def data_missing_for_sorting(dtype):
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a = pd.Timestamp("2000-01-01")
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b = pd.Timestamp("2000-01-02")
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return DatetimeArray(np.array([b, "NaT", a], dtype="datetime64[ns]"), dtype=dtype)
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@pytest.fixture
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def data_for_grouping(dtype):
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"""
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Expected to be like [B, B, NA, NA, A, A, B, C]
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Where A < B < C and NA is missing
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"""
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a = pd.Timestamp("2000-01-01")
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b = pd.Timestamp("2000-01-02")
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c = pd.Timestamp("2000-01-03")
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na = "NaT"
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return DatetimeArray(
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np.array([b, b, na, na, a, a, b, c], dtype="datetime64[ns]"), dtype=dtype
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)
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@pytest.fixture
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def na_cmp():
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def cmp(a, b):
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return a is pd.NaT and a is b
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return cmp
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# ----------------------------------------------------------------------------
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class BaseDatetimeTests:
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pass
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# ----------------------------------------------------------------------------
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# Tests
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class TestDatetimeDtype(BaseDatetimeTests, base.BaseDtypeTests):
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pass
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class TestConstructors(BaseDatetimeTests, base.BaseConstructorsTests):
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def test_series_constructor(self, data):
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# Series construction drops any .freq attr
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data = data._with_freq(None)
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super().test_series_constructor(data)
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class TestGetitem(BaseDatetimeTests, base.BaseGetitemTests):
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pass
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class TestIndex(base.BaseIndexTests):
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pass
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class TestMethods(BaseDatetimeTests, base.BaseMethodsTests):
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@pytest.mark.parametrize("na_action", [None, "ignore"])
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def test_map(self, data, na_action):
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result = data.map(lambda x: x, na_action=na_action)
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tm.assert_extension_array_equal(result, data)
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class TestInterface(BaseDatetimeTests, base.BaseInterfaceTests):
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pass
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class TestArithmeticOps(BaseDatetimeTests, base.BaseArithmeticOpsTests):
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implements = {"__sub__", "__rsub__"}
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def _get_expected_exception(self, op_name, obj, other):
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if op_name in self.implements:
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return None
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return super()._get_expected_exception(op_name, obj, other)
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class TestCasting(BaseDatetimeTests, base.BaseCastingTests):
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pass
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class TestComparisonOps(BaseDatetimeTests, base.BaseComparisonOpsTests):
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pass
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class TestMissing(BaseDatetimeTests, base.BaseMissingTests):
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pass
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class TestReshaping(BaseDatetimeTests, base.BaseReshapingTests):
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pass
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class TestSetitem(BaseDatetimeTests, base.BaseSetitemTests):
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pass
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class TestGroupby(BaseDatetimeTests, base.BaseGroupbyTests):
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pass
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class TestPrinting(BaseDatetimeTests, base.BasePrintingTests):
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pass
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class Test2DCompat(BaseDatetimeTests, base.NDArrayBacked2DTests):
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pass
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