138 lines
4.2 KiB
Python
138 lines
4.2 KiB
Python
import re
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import numpy as np
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import pytest
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from pandas._libs.tslibs.timedeltas import (
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array_to_timedelta64,
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delta_to_nanoseconds,
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ints_to_pytimedelta,
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)
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from pandas import (
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Timedelta,
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offsets,
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)
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import pandas._testing as tm
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@pytest.mark.parametrize(
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"obj,expected",
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[
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(np.timedelta64(14, "D"), 14 * 24 * 3600 * 1e9),
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(Timedelta(minutes=-7), -7 * 60 * 1e9),
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(Timedelta(minutes=-7).to_pytimedelta(), -7 * 60 * 1e9),
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(Timedelta(seconds=1234e-9), 1234), # GH43764, GH40946
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(
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Timedelta(seconds=1e-9, milliseconds=1e-5, microseconds=1e-1),
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111,
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), # GH43764
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(
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Timedelta(days=1, seconds=1e-9, milliseconds=1e-5, microseconds=1e-1),
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24 * 3600e9 + 111,
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), # GH43764
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(offsets.Nano(125), 125),
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],
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)
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def test_delta_to_nanoseconds(obj, expected):
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result = delta_to_nanoseconds(obj)
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assert result == expected
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def test_delta_to_nanoseconds_error():
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obj = np.array([123456789], dtype="m8[ns]")
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with pytest.raises(TypeError, match="<class 'numpy.ndarray'>"):
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delta_to_nanoseconds(obj)
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with pytest.raises(TypeError, match="float"):
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delta_to_nanoseconds(1.5)
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with pytest.raises(TypeError, match="int"):
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delta_to_nanoseconds(1)
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with pytest.raises(TypeError, match="int"):
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delta_to_nanoseconds(np.int64(2))
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with pytest.raises(TypeError, match="int"):
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delta_to_nanoseconds(np.int32(3))
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def test_delta_to_nanoseconds_td64_MY_raises():
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msg = (
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"delta_to_nanoseconds does not support Y or M units, "
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"as their duration in nanoseconds is ambiguous"
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)
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td = np.timedelta64(1234, "Y")
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with pytest.raises(ValueError, match=msg):
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delta_to_nanoseconds(td)
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td = np.timedelta64(1234, "M")
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with pytest.raises(ValueError, match=msg):
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delta_to_nanoseconds(td)
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def test_huge_nanoseconds_overflow():
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# GH 32402
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assert delta_to_nanoseconds(Timedelta(1e10)) == 1e10
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assert delta_to_nanoseconds(Timedelta(nanoseconds=1e10)) == 1e10
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@pytest.mark.parametrize(
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"kwargs", [{"Seconds": 1}, {"seconds": 1, "Nanoseconds": 1}, {"Foo": 2}]
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)
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def test_kwarg_assertion(kwargs):
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err_message = (
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"cannot construct a Timedelta from the passed arguments, "
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"allowed keywords are "
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"[weeks, days, hours, minutes, seconds, "
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"milliseconds, microseconds, nanoseconds]"
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)
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with pytest.raises(ValueError, match=re.escape(err_message)):
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Timedelta(**kwargs)
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class TestArrayToTimedelta64:
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def test_array_to_timedelta64_string_with_unit_2d_raises(self):
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# check the 'unit is not None and errors != "coerce"' path
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# in array_to_timedelta64 raises correctly with 2D values
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values = np.array([["1", 2], [3, "4"]], dtype=object)
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with pytest.raises(ValueError, match="unit must not be specified"):
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array_to_timedelta64(values, unit="s")
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def test_array_to_timedelta64_non_object_raises(self):
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# check we raise, not segfault
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values = np.arange(5)
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msg = "'values' must have object dtype"
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with pytest.raises(TypeError, match=msg):
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array_to_timedelta64(values)
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@pytest.mark.parametrize("unit", ["s", "ms", "us"])
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def test_ints_to_pytimedelta(unit):
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# tests for non-nanosecond cases
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arr = np.arange(6, dtype=np.int64).view(f"m8[{unit}]")
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res = ints_to_pytimedelta(arr, box=False)
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# For non-nanosecond, .astype(object) gives pytimedelta objects
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# instead of integers
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expected = arr.astype(object)
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tm.assert_numpy_array_equal(res, expected)
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res = ints_to_pytimedelta(arr, box=True)
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expected = np.array([Timedelta(x) for x in arr], dtype=object)
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tm.assert_numpy_array_equal(res, expected)
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@pytest.mark.parametrize("unit", ["Y", "M", "ps", "fs", "as"])
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def test_ints_to_pytimedelta_unsupported(unit):
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arr = np.arange(6, dtype=np.int64).view(f"m8[{unit}]")
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with pytest.raises(NotImplementedError, match=r"\d{1,2}"):
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ints_to_pytimedelta(arr, box=False)
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msg = "Only resolutions 's', 'ms', 'us', 'ns' are supported"
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with pytest.raises(NotImplementedError, match=msg):
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ints_to_pytimedelta(arr, box=True)
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