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2021-09-16 10:54
test_api.py
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test_getlimits.py
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test_multiarray.py
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test_multiarray_assignment.py
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test_nditer.py
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test_numeric.py
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test_regression.py
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test_scalarmath.py
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test_shape_base.py
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test_ufunc.py
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test_umath.py
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test_umath_complex.py
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test_unicode.py
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Save
Rename
import numpy as np from numpy.testing import * import sys, warnings class TestTake(TestCase): def test_simple(self): a = np.array([['1', '2'],['3', '4']]) modes = ['raise', 'wrap', 'clip'] indices = [-1, 4] index_arrays = [np.empty(0, dtype=np.intp), np.empty((1,1), dtype=np.intp)] real_indices = {} real_indices['raise'] = {-1:1, 4:IndexError} real_indices['wrap'] = {-1:1, 4:0} real_indices['clip'] = {-1:0, 4:1} # Currently all types but object, use the same function generation. # So it should not be necessary to test all. However test also a non # refcounted struct on top of object. types = np.int, np.object, np.dtype([('', 'i', 2)]) for t in types: ta = np.array(a, dtype=t) tresult = list(ta.T.copy()) for index_array in index_arrays: if index_array.size != 0: tresult[0].shape = (2,) + index_array.shape tresult[1].shape = (2,) + index_array.shape for mode in modes: for index in indices: real_index = real_indices[mode][index] if real_index is IndexError and index_array.size != 0: index_array.put(0, index) assert_raises(IndexError, ta.take, index_array, mode=mode, axis=1) elif index_array.size != 0: index_array.put(0, index) res = ta.take(index_array, mode=mode, axis=1) assert_array_equal(res, tresult[real_index]) else: res = ta.take(index_array, mode=mode, axis=1) assert_(res.shape == (2,) + index_array.shape) def test_refcounting(self): objects = [object() for i in xrange(10)] for mode in ('raise', 'clip', 'wrap'): a = np.array(objects) b = np.array([2, 2, 4, 5, 3, 5]) a.take(b, out=a[:6]) del a assert_(np.all([sys.getrefcount(o) == 3 for o in objects])) # not contiguous, example: a = np.array(objects * 2)[::2] a.take(b, out=a[:6]) del a assert_(np.all([sys.getrefcount(o) == 3 for o in objects])) if __name__ == "__main__": run_module_suite()