from datetime import (
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datetime,
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timedelta,
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)
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import operator
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import numpy as np
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import pytest
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from pandas import Timestamp
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import pandas._testing as tm
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class TestTimestampComparison:
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def test_compare_non_nano_dt64(self):
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# don't raise when converting dt64 to Timestamp in __richcmp__
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dt = np.datetime64("1066-10-14")
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ts = Timestamp(dt)
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assert dt == ts
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def test_comparison_dt64_ndarray(self):
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ts = Timestamp("2021-01-01")
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ts2 = Timestamp("2019-04-05")
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arr = np.array([[ts.asm8, ts2.asm8]], dtype="M8[ns]")
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result = ts == arr
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expected = np.array([[True, False]], dtype=bool)
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tm.assert_numpy_array_equal(result, expected)
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result = arr == ts
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tm.assert_numpy_array_equal(result, expected)
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result = ts != arr
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tm.assert_numpy_array_equal(result, ~expected)
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result = arr != ts
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tm.assert_numpy_array_equal(result, ~expected)
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result = ts2 < arr
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tm.assert_numpy_array_equal(result, expected)
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result = arr < ts2
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tm.assert_numpy_array_equal(result, np.array([[False, False]], dtype=bool))
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result = ts2 <= arr
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tm.assert_numpy_array_equal(result, np.array([[True, True]], dtype=bool))
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result = arr <= ts2
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tm.assert_numpy_array_equal(result, ~expected)
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result = ts >= arr
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tm.assert_numpy_array_equal(result, np.array([[True, True]], dtype=bool))
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result = arr >= ts
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tm.assert_numpy_array_equal(result, np.array([[True, False]], dtype=bool))
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@pytest.mark.parametrize("reverse", [True, False])
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def test_comparison_dt64_ndarray_tzaware(self, reverse, comparison_op):
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ts = Timestamp("2021-01-01 00:00:00.00000", tz="UTC")
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arr = np.array([ts.asm8, ts.asm8], dtype="M8[ns]")
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left, right = ts, arr
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if reverse:
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left, right = arr, ts
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if comparison_op is operator.eq:
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expected = np.array([False, False], dtype=bool)
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result = comparison_op(left, right)
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tm.assert_numpy_array_equal(result, expected)
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elif comparison_op is operator.ne:
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expected = np.array([True, True], dtype=bool)
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result = comparison_op(left, right)
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tm.assert_numpy_array_equal(result, expected)
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else:
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msg = "Cannot compare tz-naive and tz-aware timestamps"
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with pytest.raises(TypeError, match=msg):
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comparison_op(left, right)
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def test_comparison_object_array(self):
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# GH#15183
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ts = Timestamp("2011-01-03 00:00:00-0500", tz="US/Eastern")
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other = Timestamp("2011-01-01 00:00:00-0500", tz="US/Eastern")
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naive = Timestamp("2011-01-01 00:00:00")
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arr = np.array([other, ts], dtype=object)
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res = arr == ts
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expected = np.array([False, True], dtype=bool)
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assert (res == expected).all()
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# 2D case
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arr = np.array([[other, ts], [ts, other]], dtype=object)
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res = arr != ts
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expected = np.array([[True, False], [False, True]], dtype=bool)
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assert res.shape == expected.shape
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assert (res == expected).all()
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# tzaware mismatch
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arr = np.array([naive], dtype=object)
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msg = "Cannot compare tz-naive and tz-aware timestamps"
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with pytest.raises(TypeError, match=msg):
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arr < ts
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def test_comparison(self):
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# 5-18-2012 00:00:00.000
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stamp = 1337299200000000000
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val = Timestamp(stamp)
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assert val == val
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assert not val != val
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assert not val < val
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assert val <= val
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assert not val > val
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assert val >= val
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other = datetime(2012, 5, 18)
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assert val == other
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assert not val != other
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assert not val < other
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assert val <= other
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assert not val > other
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assert val >= other
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other = Timestamp(stamp + 100)
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assert val != other
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assert val != other
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assert val < other
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assert val <= other
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assert other > val
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assert other >= val
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def test_compare_invalid(self):
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# GH#8058
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val = Timestamp("20130101 12:01:02")
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assert not val == "foo"
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assert not val == 10.0
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assert not val == 1
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assert not val == []
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assert not val == {"foo": 1}
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assert not val == np.float64(1)
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assert not val == np.int64(1)
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assert val != "foo"
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assert val != 10.0
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assert val != 1
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assert val != []
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assert val != {"foo": 1}
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assert val != np.float64(1)
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assert val != np.int64(1)
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@pytest.mark.parametrize("tz", [None, "US/Pacific"])
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def test_compare_date(self, tz):
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# GH#36131 comparing Timestamp with date object is deprecated
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ts = Timestamp("2021-01-01 00:00:00.00000", tz=tz)
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dt = ts.to_pydatetime().date()
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# in 2.0 we disallow comparing pydate objects with Timestamps,
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# following the stdlib datetime behavior.
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msg = "Cannot compare Timestamp with datetime.date"
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for left, right in [(ts, dt), (dt, ts)]:
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assert not left == right
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assert left != right
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with pytest.raises(TypeError, match=msg):
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left < right
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with pytest.raises(TypeError, match=msg):
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left <= right
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with pytest.raises(TypeError, match=msg):
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left > right
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with pytest.raises(TypeError, match=msg):
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left >= right
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def test_cant_compare_tz_naive_w_aware(self, utc_fixture):
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# see GH#1404
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a = Timestamp("3/12/2012")
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b = Timestamp("3/12/2012", tz=utc_fixture)
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msg = "Cannot compare tz-naive and tz-aware timestamps"
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assert not a == b
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assert a != b
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with pytest.raises(TypeError, match=msg):
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a < b
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with pytest.raises(TypeError, match=msg):
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a <= b
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with pytest.raises(TypeError, match=msg):
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a > b
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with pytest.raises(TypeError, match=msg):
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a >= b
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assert not b == a
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assert b != a
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with pytest.raises(TypeError, match=msg):
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b < a
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with pytest.raises(TypeError, match=msg):
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b <= a
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with pytest.raises(TypeError, match=msg):
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b > a
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with pytest.raises(TypeError, match=msg):
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b >= a
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assert not a == b.to_pydatetime()
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assert not a.to_pydatetime() == b
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def test_timestamp_compare_scalars(self):
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# case where ndim == 0
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lhs = np.datetime64(datetime(2013, 12, 6))
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rhs = Timestamp("now")
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nat = Timestamp("nat")
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ops = {"gt": "lt", "lt": "gt", "ge": "le", "le": "ge", "eq": "eq", "ne": "ne"}
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for left, right in ops.items():
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left_f = getattr(operator, left)
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right_f = getattr(operator, right)
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expected = left_f(lhs, rhs)
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result = right_f(rhs, lhs)
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assert result == expected
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expected = left_f(rhs, nat)
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result = right_f(nat, rhs)
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assert result == expected
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def test_timestamp_compare_with_early_datetime(self):
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# e.g. datetime.min
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stamp = Timestamp("2012-01-01")
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assert not stamp == datetime.min
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assert not stamp == datetime(1600, 1, 1)
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assert not stamp == datetime(2700, 1, 1)
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assert stamp != datetime.min
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assert stamp != datetime(1600, 1, 1)
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assert stamp != datetime(2700, 1, 1)
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assert stamp > datetime(1600, 1, 1)
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assert stamp >= datetime(1600, 1, 1)
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assert stamp < datetime(2700, 1, 1)
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assert stamp <= datetime(2700, 1, 1)
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other = Timestamp.min.to_pydatetime(warn=False)
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assert other - timedelta(microseconds=1) < Timestamp.min
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def test_timestamp_compare_oob_dt64(self):
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us = np.timedelta64(1, "us")
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other = np.datetime64(Timestamp.min).astype("M8[us]")
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# This may change if the implementation bound is dropped to match
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# DatetimeArray/DatetimeIndex GH#24124
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assert Timestamp.min > other
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# Note: numpy gets the reversed comparison wrong
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other = np.datetime64(Timestamp.max).astype("M8[us]")
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assert Timestamp.max > other # not actually OOB
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assert other < Timestamp.max
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assert Timestamp.max < other + us
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# Note: numpy gets the reversed comparison wrong
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# GH-42794
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other = datetime(9999, 9, 9)
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assert Timestamp.min < other
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assert other > Timestamp.min
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assert Timestamp.max < other
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assert other > Timestamp.max
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other = datetime(1, 1, 1)
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assert Timestamp.max > other
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assert other < Timestamp.max
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assert Timestamp.min > other
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assert other < Timestamp.min
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def test_compare_zerodim_array(self, fixed_now_ts):
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# GH#26916
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ts = fixed_now_ts
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dt64 = np.datetime64("2016-01-01", "ns")
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arr = np.array(dt64)
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assert arr.ndim == 0
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result = arr < ts
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assert result is np.bool_(True)
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result = arr > ts
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assert result is np.bool_(False)
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def test_rich_comparison_with_unsupported_type():
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# Comparisons with unsupported objects should return NotImplemented
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# (it previously raised TypeError, see #24011)
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class Inf:
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def __lt__(self, o):
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return False
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def __le__(self, o):
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return isinstance(o, Inf)
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def __gt__(self, o):
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return not isinstance(o, Inf)
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def __ge__(self, o):
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return True
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def __eq__(self, other) -> bool:
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return isinstance(other, Inf)
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inf = Inf()
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timestamp = Timestamp("2018-11-30")
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for left, right in [(inf, timestamp), (timestamp, inf)]:
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assert left > right or left < right
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assert left >= right or left <= right
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assert not left == right # pylint: disable=unneeded-not
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assert left != right
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