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Direktori : /opt/alt/python37/lib64/python3.7/site-packages/numpy/ma/tests/ |
Current File : //opt/alt/python37/lib64/python3.7/site-packages/numpy/ma/tests/test_deprecations.py |
"""Test deprecation and future warnings. """ from __future__ import division, absolute_import, print_function import numpy as np from numpy.testing import TestCase, run_module_suite, assert_warns from numpy.ma.testutils import assert_equal from numpy.ma.core import MaskedArrayFutureWarning class TestArgsort(TestCase): """ gh-8701 """ def _test_base(self, argsort, cls): arr_0d = np.array(1).view(cls) argsort(arr_0d) arr_1d = np.array([1, 2, 3]).view(cls) argsort(arr_1d) # argsort has a bad default for >1d arrays arr_2d = np.array([[1, 2], [3, 4]]).view(cls) result = assert_warns( np.ma.core.MaskedArrayFutureWarning, argsort, arr_2d) assert_equal(result, argsort(arr_2d, axis=None)) # should be no warnings for explicitly specifying it argsort(arr_2d, axis=None) argsort(arr_2d, axis=-1) def test_function_ndarray(self): return self._test_base(np.ma.argsort, np.ndarray) def test_function_maskedarray(self): return self._test_base(np.ma.argsort, np.ma.MaskedArray) def test_method(self): return self._test_base(np.ma.MaskedArray.argsort, np.ma.MaskedArray) class TestMinimumMaximum(TestCase): def test_minimum(self): assert_warns(DeprecationWarning, np.ma.minimum, np.ma.array([1, 2])) def test_maximum(self): assert_warns(DeprecationWarning, np.ma.maximum, np.ma.array([1, 2])) def test_axis_default(self): # NumPy 1.13, 2017-05-06 data1d = np.ma.arange(6) data2d = data1d.reshape(2, 3) ma_min = np.ma.minimum.reduce ma_max = np.ma.maximum.reduce # check that the default axis is still None, but warns on 2d arrays result = assert_warns(MaskedArrayFutureWarning, ma_max, data2d) assert_equal(result, ma_max(data2d, axis=None)) result = assert_warns(MaskedArrayFutureWarning, ma_min, data2d) assert_equal(result, ma_min(data2d, axis=None)) # no warnings on 1d, as both new and old defaults are equivalent result = ma_min(data1d) assert_equal(result, ma_min(data1d, axis=None)) assert_equal(result, ma_min(data1d, axis=0)) result = ma_max(data1d) assert_equal(result, ma_max(data1d, axis=None)) assert_equal(result, ma_max(data1d, axis=0)) if __name__ == "__main__": run_module_suite()