import numpy as np
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from pandas._libs.tslibs.dtypes import abbrev_to_npy_unit
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from pandas._libs.tslibs.vectorized import is_date_array_normalized
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# a datetime64 ndarray which *is* normalized
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day_arr = np.arange(10, dtype="i8").view("M8[D]")
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class TestIsDateArrayNormalized:
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def test_is_date_array_normalized_day(self):
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arr = day_arr
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abbrev = "D"
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unit = abbrev_to_npy_unit(abbrev)
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result = is_date_array_normalized(arr.view("i8"), None, unit)
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assert result is True
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def test_is_date_array_normalized_seconds(self):
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abbrev = "s"
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arr = day_arr.astype(f"M8[{abbrev}]")
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unit = abbrev_to_npy_unit(abbrev)
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result = is_date_array_normalized(arr.view("i8"), None, unit)
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assert result is True
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arr[0] += np.timedelta64(1, abbrev)
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result2 = is_date_array_normalized(arr.view("i8"), None, unit)
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assert result2 is False
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