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| import numpy as np
| import pytest
|
| from pandas.util._validators import validate_inclusive
|
| import pandas as pd
|
|
| @pytest.mark.parametrize(
| "invalid_inclusive",
| (
| "ccc",
| 2,
| object(),
| None,
| np.nan,
| pd.NA,
| pd.DataFrame(),
| ),
| )
| def test_invalid_inclusive(invalid_inclusive):
| with pytest.raises(
| ValueError,
| match="Inclusive has to be either 'both', 'neither', 'left' or 'right'",
| ):
| validate_inclusive(invalid_inclusive)
|
|
| @pytest.mark.parametrize(
| "valid_inclusive, expected_tuple",
| (
| ("left", (True, False)),
| ("right", (False, True)),
| ("both", (True, True)),
| ("neither", (False, False)),
| ),
| )
| def test_valid_inclusive(valid_inclusive, expected_tuple):
| resultant_tuple = validate_inclusive(valid_inclusive)
| assert expected_tuple == resultant_tuple
|
|
