Adding in np.int32, as by default Windows creates np.int32. This caused the test_censor test to fail:
INFO _________________________________ test_censor _________________________________
INFO
INFO def test_censor():
INFO x = np.arange(10)
INFO > xx = censor(x, (2, 8))
INFO
INFO tests\test_bounds.py:29:
INFO _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
INFO ..\_test_env\Lib\site-packages\mizani\bounds.py:349: in censor
INFO null = get_null_value(x)
INFO _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
INFO
INFO x = array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
INFO
INFO def get_null_value(x: Any) -> NullType:
INFO """
INFO Return a Null value for the type of values
INFO """
INFO from datetime import datetime, timedelta
INFO
INFO import pandas as pd
INFO
INFO x0 = next(iter(x))
INFO numeric_types: Sequence[type] = (np.int64, np.float64, int, float, bool)
INFO
INFO if pdtypes.is_object_dtype(x):
INFO return None
INFO elif isinstance(x0, numeric_types): # type: ignore
INFO return float("nan")
INFO # pandas types subclass cypthon types, so check
INFO # for them first
INFO elif isinstance(x0, (pd.Timestamp, pd.Timedelta)):
INFO return type(x0)("NaT")
INFO elif isinstance(x0, (datetime, timedelta)):
INFO return None
INFO elif isinstance(x0, (np.datetime64, np.timedelta64)):
INFO return type(x0)("NaT")
INFO else:
INFO > raise ValueError(
INFO "Cannot get a null value for type: {}".format(type(x[0]))
INFO )
INFO E ValueError: Cannot get a null value for type: <class 'numpy.int32'>
INFO
INFO ..\_test_env\Lib\site-packages\mizani\utils.py:387: ValueError
INFO
INFO ---------- coverage: platform win32, python 3.11.9-final-0 -----------
Adding in np.int32, as by default Windows creates np.int32. This caused the test_censor test to fail: