"""
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Tests shared for DatetimeIndex/TimedeltaIndex/PeriodIndex
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"""
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from datetime import (
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datetime,
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timedelta,
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)
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import (
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CategoricalIndex,
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DatetimeIndex,
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Index,
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PeriodIndex,
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TimedeltaIndex,
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date_range,
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period_range,
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)
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import pandas._testing as tm
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|
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class EqualsTests:
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def test_not_equals_numeric(self, index):
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assert not index.equals(Index(index.asi8))
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assert not index.equals(Index(index.asi8.astype("u8")))
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assert not index.equals(Index(index.asi8).astype("f8"))
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def test_equals(self, index):
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assert index.equals(index)
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assert index.equals(index.astype(object))
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assert index.equals(CategoricalIndex(index))
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assert index.equals(CategoricalIndex(index.astype(object)))
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def test_not_equals_non_arraylike(self, index):
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assert not index.equals(list(index))
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def test_not_equals_strings(self, index):
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other = Index([str(x) for x in index], dtype=object)
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assert not index.equals(other)
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assert not index.equals(CategoricalIndex(other))
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def test_not_equals_misc_strs(self, index):
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other = Index(list("abc"))
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assert not index.equals(other)
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class TestPeriodIndexEquals(EqualsTests):
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@pytest.fixture
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def index(self):
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return period_range("2013-01-01", periods=5, freq="D")
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# TODO: de-duplicate with other test_equals2 methods
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@pytest.mark.parametrize("freq", ["D", "M"])
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def test_equals2(self, freq):
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# GH#13107
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idx = PeriodIndex(["2011-01-01", "2011-01-02", "NaT"], freq=freq)
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assert idx.equals(idx)
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assert idx.equals(idx.copy())
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assert idx.equals(idx.astype(object))
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assert idx.astype(object).equals(idx)
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assert idx.astype(object).equals(idx.astype(object))
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assert not idx.equals(list(idx))
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assert not idx.equals(pd.Series(idx))
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idx2 = PeriodIndex(["2011-01-01", "2011-01-02", "NaT"], freq="H")
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assert not idx.equals(idx2)
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assert not idx.equals(idx2.copy())
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assert not idx.equals(idx2.astype(object))
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assert not idx.astype(object).equals(idx2)
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assert not idx.equals(list(idx2))
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assert not idx.equals(pd.Series(idx2))
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# same internal, different tz
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idx3 = PeriodIndex._simple_new(
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idx._values._simple_new(idx._values.asi8, freq="H")
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)
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tm.assert_numpy_array_equal(idx.asi8, idx3.asi8)
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assert not idx.equals(idx3)
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assert not idx.equals(idx3.copy())
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assert not idx.equals(idx3.astype(object))
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assert not idx.astype(object).equals(idx3)
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assert not idx.equals(list(idx3))
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assert not idx.equals(pd.Series(idx3))
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class TestDatetimeIndexEquals(EqualsTests):
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@pytest.fixture
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def index(self):
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return date_range("2013-01-01", periods=5)
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def test_equals2(self):
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# GH#13107
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idx = DatetimeIndex(["2011-01-01", "2011-01-02", "NaT"])
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assert idx.equals(idx)
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assert idx.equals(idx.copy())
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assert idx.equals(idx.astype(object))
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assert idx.astype(object).equals(idx)
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assert idx.astype(object).equals(idx.astype(object))
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assert not idx.equals(list(idx))
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assert not idx.equals(pd.Series(idx))
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idx2 = DatetimeIndex(["2011-01-01", "2011-01-02", "NaT"], tz="US/Pacific")
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assert not idx.equals(idx2)
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assert not idx.equals(idx2.copy())
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assert not idx.equals(idx2.astype(object))
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assert not idx.astype(object).equals(idx2)
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assert not idx.equals(list(idx2))
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assert not idx.equals(pd.Series(idx2))
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# same internal, different tz
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idx3 = DatetimeIndex(idx.asi8, tz="US/Pacific")
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tm.assert_numpy_array_equal(idx.asi8, idx3.asi8)
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assert not idx.equals(idx3)
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assert not idx.equals(idx3.copy())
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assert not idx.equals(idx3.astype(object))
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assert not idx.astype(object).equals(idx3)
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assert not idx.equals(list(idx3))
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assert not idx.equals(pd.Series(idx3))
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# check that we do not raise when comparing with OutOfBounds objects
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oob = Index([datetime(2500, 1, 1)] * 3, dtype=object)
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assert not idx.equals(oob)
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assert not idx2.equals(oob)
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assert not idx3.equals(oob)
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# check that we do not raise when comparing with OutOfBounds dt64
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oob2 = oob.map(np.datetime64)
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assert not idx.equals(oob2)
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assert not idx2.equals(oob2)
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assert not idx3.equals(oob2)
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@pytest.mark.parametrize("freq", ["B", "C"])
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def test_not_equals_bday(self, freq):
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rng = date_range("2009-01-01", "2010-01-01", freq=freq)
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assert not rng.equals(list(rng))
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class TestTimedeltaIndexEquals(EqualsTests):
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@pytest.fixture
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def index(self):
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return tm.makeTimedeltaIndex(10)
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def test_equals2(self):
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# GH#13107
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idx = TimedeltaIndex(["1 days", "2 days", "NaT"])
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assert idx.equals(idx)
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assert idx.equals(idx.copy())
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assert idx.equals(idx.astype(object))
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assert idx.astype(object).equals(idx)
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assert idx.astype(object).equals(idx.astype(object))
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assert not idx.equals(list(idx))
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assert not idx.equals(pd.Series(idx))
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idx2 = TimedeltaIndex(["2 days", "1 days", "NaT"])
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assert not idx.equals(idx2)
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assert not idx.equals(idx2.copy())
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assert not idx.equals(idx2.astype(object))
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assert not idx.astype(object).equals(idx2)
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assert not idx.astype(object).equals(idx2.astype(object))
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assert not idx.equals(list(idx2))
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assert not idx.equals(pd.Series(idx2))
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# Check that we dont raise OverflowError on comparisons outside the
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# implementation range GH#28532
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oob = Index([timedelta(days=10**6)] * 3, dtype=object)
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assert not idx.equals(oob)
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assert not idx2.equals(oob)
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oob2 = Index([np.timedelta64(x) for x in oob], dtype=object)
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assert (oob == oob2).all()
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assert not idx.equals(oob2)
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assert not idx2.equals(oob2)
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oob3 = oob.map(np.timedelta64)
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assert (oob3 == oob).all()
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assert not idx.equals(oob3)
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assert not idx2.equals(oob3)
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