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fix: datetime64 dtype compatibility for pandas >= 2.0 #44

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fix: datetime64 dtype compatibility for pandas >= 2.0 #44

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11 changes: 9 additions & 2 deletions .learn/exercises/04.1-date-range/test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,8 +28,15 @@ def test_hardcoded_output():
def test_expected_output(capsys):
import app
captured = capsys.readouterr()
assert """DatetimeIndex(['2021-05-01', '2021-05-02', '2021-05-03', '2021-05-04',
# pandas >= 2.0 uses 'datetime64[us]', older versions use 'datetime64[ns]'
expected_ns = """DatetimeIndex(['2021-05-01', '2021-05-02', '2021-05-03', '2021-05-04',
'2021-05-05', '2021-05-06', '2021-05-07', '2021-05-08',
'2021-05-09', '2021-05-10', '2021-05-11', '2021-05-12'],
dtype='datetime64[ns]', freq='D')
""" in captured.out
"""
expected_us = """DatetimeIndex(['2021-05-01', '2021-05-02', '2021-05-03', '2021-05-04',
'2021-05-05', '2021-05-06', '2021-05-07', '2021-05-08',
'2021-05-09', '2021-05-10', '2021-05-11', '2021-05-12'],
dtype='datetime64[us]', freq='D')
"""
assert expected_ns in captured.out or expected_us in captured.out
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