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from datetime import datetime
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from dateutil.tz import tzlocal
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import pytest
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from pandas.compat import IS64
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from pandas import (
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DatetimeIndex,
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Index,
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bdate_range,
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date_range,
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)
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import pandas._testing as tm
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START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
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class TestDatetimeIndexOps:
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@pytest.mark.parametrize(
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"freq,expected",
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[
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("A", "day"),
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("Q", "day"),
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("M", "day"),
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("D", "day"),
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("H", "hour"),
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("T", "minute"),
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("S", "second"),
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("L", "millisecond"),
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("U", "microsecond"),
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],
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)
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def test_resolution(self, request, tz_naive_fixture, freq, expected):
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tz = tz_naive_fixture
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if freq == "A" and not IS64 and isinstance(tz, tzlocal):
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request.node.add_marker(
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pytest.mark.xfail(reason="OverflowError inside tzlocal past 2038")
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)
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idx = date_range(start="2013-04-01", periods=30, freq=freq, tz=tz)
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assert idx.resolution == expected
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def test_infer_freq(self, freq_sample):
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# GH 11018
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idx = date_range("2011-01-01 09:00:00", freq=freq_sample, periods=10)
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result = DatetimeIndex(idx.asi8, freq="infer")
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tm.assert_index_equal(idx, result)
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assert result.freq == freq_sample
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@pytest.mark.parametrize("freq", ["B", "C"])
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class TestBusinessDatetimeIndex:
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@pytest.fixture
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def rng(self, freq):
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return bdate_range(START, END, freq=freq)
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def test_comparison(self, rng):
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d = rng[10]
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comp = rng > d
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assert comp[11]
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assert not comp[9]
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def test_copy(self, rng):
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cp = rng.copy()
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repr(cp)
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tm.assert_index_equal(cp, rng)
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def test_identical(self, rng):
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t1 = rng.copy()
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t2 = rng.copy()
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assert t1.identical(t2)
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# name
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t1 = t1.rename("foo")
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assert t1.equals(t2)
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assert not t1.identical(t2)
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t2 = t2.rename("foo")
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assert t1.identical(t2)
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# freq
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t2v = Index(t2.values)
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assert t1.equals(t2v)
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assert not t1.identical(t2v)
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