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__pycache__
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data
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test_abc.py
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test_api.py
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test_arrayprint.py
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test_datetime.py
(90.36 KB)
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test_defchararray.py
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test_deprecations.py
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test_dtype.py
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test_einsum.py
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test_errstate.py
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test_extint128.py
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test_function_base.py
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test_getlimits.py
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test_half.py
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test_indexerrors.py
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test_indexing.py
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test_item_selection.py
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test_longdouble.py
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test_machar.py
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test_mem_overlap.py
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test_memmap.py
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test_multiarray.py
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test_nditer.py
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test_numeric.py
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test_numerictypes.py
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test_print.py
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test_records.py
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test_regression.py
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test_scalarinherit.py
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test_scalarmath.py
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test_scalarprint.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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Editing: test_machar.py
from __future__ import division, absolute_import, print_function from numpy.core.machar import MachAr import numpy.core.numerictypes as ntypes from numpy import errstate, array from numpy.testing import TestCase, run_module_suite class TestMachAr(TestCase): def _run_machar_highprec(self): # Instantiate MachAr instance with high enough precision to cause # underflow try: hiprec = ntypes.float96 MachAr(lambda v:array([v], hiprec)) except AttributeError: "Skipping test: no ntypes.float96 available on this platform." def test_underlow(self): # Regression test for #759: # instantiating MachAr for dtype = np.float96 raises spurious warning. with errstate(all='raise'): try: self._run_machar_highprec() except FloatingPointError as e: self.fail("Caught %s exception, should not have been raised." % e) if __name__ == "__main__": run_module_suite()
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