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73 lines
1.9 KiB
73 lines
1.9 KiB
"""Test how the ufuncs in special handle nan inputs.
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"""
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import warnings
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from collections.abc import Callable
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import numpy as np
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from numpy.testing import assert_array_equal, assert_
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import pytest
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import scipy.special as sc
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KNOWNFAILURES: dict[str, Callable] = {}
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POSTPROCESSING: dict[str, Callable] = {}
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def _get_ufuncs():
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ufuncs = []
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ufunc_names = []
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for name in sorted(sc.__dict__):
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obj = sc.__dict__[name]
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if not isinstance(obj, np.ufunc):
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continue
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msg = KNOWNFAILURES.get(obj)
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if msg is None:
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ufuncs.append(obj)
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ufunc_names.append(name)
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else:
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fail = pytest.mark.xfail(run=False, reason=msg)
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ufuncs.append(pytest.param(obj, marks=fail))
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ufunc_names.append(name)
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return ufuncs, ufunc_names
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UFUNCS, UFUNC_NAMES = _get_ufuncs()
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@pytest.mark.parametrize("func", UFUNCS, ids=UFUNC_NAMES)
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def test_nan_inputs(func):
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args = (np.nan,)*func.nin
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with warnings.catch_warnings():
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# Ignore warnings about unsafe casts from legacy wrappers
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warnings.filterwarnings(
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"ignore",
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"floating point number truncated to an integer",
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RuntimeWarning
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)
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try:
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", DeprecationWarning)
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res = func(*args)
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except TypeError:
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# One of the arguments doesn't take real inputs
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return
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if func in POSTPROCESSING:
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res = POSTPROCESSING[func](*res)
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msg = f"got {res} instead of nan"
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assert_array_equal(np.isnan(res), True, err_msg=msg)
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def test_legacy_cast():
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with warnings.catch_warnings():
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warnings.filterwarnings(
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"ignore",
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"floating point number truncated to an integer",
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RuntimeWarning
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)
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res = sc.bdtrc(np.nan, 1, 0.5)
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assert_(np.isnan(res))
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