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from datetime import datetime |
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import numpy as np |
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import pytest |
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from pytz import UTC |
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from pandas._libs.tslibs import ( |
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OutOfBoundsTimedelta, |
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astype_overflowsafe, |
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conversion, |
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iNaT, |
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timezones, |
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tz_convert_from_utc, |
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tzconversion, |
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) |
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from pandas import ( |
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Timestamp, |
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date_range, |
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) |
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import pandas._testing as tm |
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def _compare_utc_to_local(tz_didx): |
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def f(x): |
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return tzconversion.tz_convert_from_utc_single(x, tz_didx.tz) |
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result = tz_convert_from_utc(tz_didx.asi8, tz_didx.tz) |
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expected = np.vectorize(f)(tz_didx.asi8) |
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tm.assert_numpy_array_equal(result, expected) |
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def _compare_local_to_utc(tz_didx, naive_didx): |
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err1 = err2 = None |
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try: |
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result = tzconversion.tz_localize_to_utc(naive_didx.asi8, tz_didx.tz) |
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err1 = None |
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except Exception as err: |
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err1 = err |
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try: |
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expected = naive_didx.map(lambda x: x.tz_localize(tz_didx.tz)).asi8 |
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except Exception as err: |
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err2 = err |
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if err1 is not None: |
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assert type(err1) == type(err2) |
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else: |
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assert err2 is None |
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tm.assert_numpy_array_equal(result, expected) |
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def test_tz_localize_to_utc_copies(): |
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arr = np.arange(5, dtype="i8") |
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result = tz_convert_from_utc(arr, tz=UTC) |
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tm.assert_numpy_array_equal(result, arr) |
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assert not np.shares_memory(arr, result) |
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result = tz_convert_from_utc(arr, tz=None) |
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tm.assert_numpy_array_equal(result, arr) |
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assert not np.shares_memory(arr, result) |
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def test_tz_convert_single_matches_tz_convert_hourly(tz_aware_fixture): |
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tz = tz_aware_fixture |
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tz_didx = date_range("2014-03-01", "2015-01-10", freq="h", tz=tz) |
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naive_didx = date_range("2014-03-01", "2015-01-10", freq="h") |
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_compare_utc_to_local(tz_didx) |
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_compare_local_to_utc(tz_didx, naive_didx) |
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@pytest.mark.parametrize("freq", ["D", "YE"]) |
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def test_tz_convert_single_matches_tz_convert(tz_aware_fixture, freq): |
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tz = tz_aware_fixture |
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tz_didx = date_range("2018-01-01", "2020-01-01", freq=freq, tz=tz) |
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naive_didx = date_range("2018-01-01", "2020-01-01", freq=freq) |
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_compare_utc_to_local(tz_didx) |
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_compare_local_to_utc(tz_didx, naive_didx) |
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@pytest.mark.parametrize( |
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"arr", |
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[ |
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pytest.param(np.array([], dtype=np.int64), id="empty"), |
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pytest.param(np.array([iNaT], dtype=np.int64), id="all_nat"), |
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], |
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) |
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def test_tz_convert_corner(arr): |
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result = tz_convert_from_utc(arr, timezones.maybe_get_tz("Asia/Tokyo")) |
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tm.assert_numpy_array_equal(result, arr) |
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def test_tz_convert_readonly(): |
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arr = np.array([0], dtype=np.int64) |
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arr.setflags(write=False) |
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result = tz_convert_from_utc(arr, UTC) |
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tm.assert_numpy_array_equal(result, arr) |
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@pytest.mark.parametrize("copy", [True, False]) |
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@pytest.mark.parametrize("dtype", ["M8[ns]", "M8[s]"]) |
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def test_length_zero_copy(dtype, copy): |
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arr = np.array([], dtype=dtype) |
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result = astype_overflowsafe(arr, copy=copy, dtype=np.dtype("M8[ns]")) |
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if copy: |
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assert not np.shares_memory(result, arr) |
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elif arr.dtype == result.dtype: |
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assert result is arr |
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else: |
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assert not np.shares_memory(result, arr) |
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def test_ensure_datetime64ns_bigendian(): |
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arr = np.array([np.datetime64(1, "ms")], dtype=">M8[ms]") |
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result = astype_overflowsafe(arr, dtype=np.dtype("M8[ns]")) |
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expected = np.array([np.datetime64(1, "ms")], dtype="M8[ns]") |
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tm.assert_numpy_array_equal(result, expected) |
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def test_ensure_timedelta64ns_overflows(): |
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arr = np.arange(10).astype("m8[Y]") * 100 |
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msg = r"Cannot convert 300 years to timedelta64\[ns\] without overflow" |
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with pytest.raises(OutOfBoundsTimedelta, match=msg): |
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astype_overflowsafe(arr, dtype=np.dtype("m8[ns]")) |
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class SubDatetime(datetime): |
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pass |
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@pytest.mark.parametrize( |
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"dt, expected", |
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[ |
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pytest.param( |
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Timestamp("2000-01-01"), Timestamp("2000-01-01", tz=UTC), id="timestamp" |
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), |
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pytest.param( |
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datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=UTC), id="datetime" |
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), |
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pytest.param( |
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SubDatetime(2000, 1, 1), |
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SubDatetime(2000, 1, 1, tzinfo=UTC), |
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id="subclassed_datetime", |
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), |
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], |
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) |
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def test_localize_pydatetime_dt_types(dt, expected): |
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result = conversion.localize_pydatetime(dt, UTC) |
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assert result == expected |
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