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14 | 14 | Series,
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15 | 15 | Timedelta,
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16 | 16 | Timestamp,
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17 |
| - conftest, |
18 | 17 | )
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19 | 18 | import pandas._testing as tm
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20 | 19 | from pandas.api.types import CategoricalDtype as CDT
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@@ -752,17 +751,17 @@ def test_map_with_dict_or_series(self):
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752 | 751 | [1.5, 2.5, 3.5],
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753 | 752 | [-1.5, -2.5, -3.5],
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754 | 753 | # numpy int/uint
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755 |
| - *[np.array([1, 2, 3], dtype=dtype) for dtype in conftest.ALL_INT_DTYPES], |
| 754 | + *[np.array([1, 2, 3], dtype=dtype) for dtype in tm.ALL_INT_DTYPES], |
756 | 755 | # numpy floats
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757 |
| - *[np.array([1.5, 2.5, 3.5], dtype=dtyp) for dtyp in conftest.FLOAT_DTYPES], |
| 756 | + *[np.array([1.5, 2.5, 3.5], dtype=dtyp) for dtyp in tm.FLOAT_DTYPES], |
758 | 757 | # numpy object
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759 | 758 | np.array([1, "b", 3.5], dtype=object),
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760 | 759 | # pandas scalars
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761 | 760 | [Interval(1, 4), Interval(4, 6), Interval(6, 9)],
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762 | 761 | [Timestamp(2019, 1, 1), Timestamp(2019, 2, 1), Timestamp(2019, 3, 1)],
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763 | 762 | [Timedelta(1, "d"), Timedelta(2, "d"), Timedelta(3, "D")],
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764 | 763 | # pandas Integer arrays
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765 |
| - *[pd.array([1, 2, 3], dtype=dtype) for dtype in conftest.ALL_EA_INT_DTYPES], |
| 764 | + *[pd.array([1, 2, 3], dtype=dtype) for dtype in tm.ALL_EA_INT_DTYPES], |
766 | 765 | # other pandas arrays
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767 | 766 | pd.IntervalIndex.from_breaks([1, 4, 6, 9]).array,
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768 | 767 | pd.date_range("2019-01-01", periods=3).array,
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