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usr
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local
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lib64
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python3.6
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site-packages
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numpy
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core
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tests
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/usr/local/lib64/python3.6/site-packages/numpy/core/tests
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test_half.py
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test_longdouble.py
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test_numeric.py
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/usr/local/lib64/python3.6/site-packages/numpy/core/tests/test_scalar_methods.py
(4063B)
""" Test the scalar constructors, which also do type-coercion """ import fractions import platform import pytest import numpy as np from numpy.testing import assert_equal, assert_raises class TestAsIntegerRatio: # derived in part from the cpython test "test_floatasratio" @pytest.mark.parametrize("ftype", [ np.half, np.single, np.double, np.longdouble]) @pytest.mark.parametrize("f, ratio", [ (0.875, (7, 8)), (-0.875, (-7, 8)), (0.0, (0, 1)), (11.5, (23, 2)), ]) def test_small(self, ftype, f, ratio): assert_equal(ftype(f).as_integer_ratio(), ratio) @pytest.mark.parametrize("ftype", [ np.half, np.single, np.double, np.longdouble]) def test_simple_fractions(self, ftype): R = fractions.Fraction assert_equal(R(0, 1), R(*ftype(0.0).as_integer_ratio())) assert_equal(R(5, 2), R(*ftype(2.5).as_integer_ratio())) assert_equal(R(1, 2), R(*ftype(0.5).as_integer_ratio())) assert_equal(R(-2100, 1), R(*ftype(-2100.0).as_integer_ratio())) @pytest.mark.parametrize("ftype", [ np.half, np.single, np.double, np.longdouble]) def test_errors(self, ftype): assert_raises(OverflowError, ftype('inf').as_integer_ratio) assert_raises(OverflowError, ftype('-inf').as_integer_ratio) assert_raises(ValueError, ftype('nan').as_integer_ratio) def test_against_known_values(self): R = fractions.Fraction assert_equal(R(1075, 512), R(*np.half(2.1).as_integer_ratio())) assert_equal(R(-1075, 512), R(*np.half(-2.1).as_integer_ratio())) assert_equal(R(4404019, 2097152), R(*np.single(2.1).as_integer_ratio())) assert_equal(R(-4404019, 2097152), R(*np.single(-2.1).as_integer_ratio())) assert_equal(R(4728779608739021, 2251799813685248), R(*np.double(2.1).as_integer_ratio())) assert_equal(R(-4728779608739021, 2251799813685248), R(*np.double(-2.1).as_integer_ratio())) # longdouble is platform dependent @pytest.mark.parametrize("ftype, frac_vals, exp_vals", [ # dtype test cases generated using hypothesis # first five generated cases per dtype (np.half, [0.0, 0.01154830649280303, 0.31082276347447274, 0.527350517124794, 0.8308562335072596], [0, 1, 0, -8, 12]), (np.single, [0.0, 0.09248576989263226, 0.8160498218131407, 0.17389442853722373, 0.7956044195067877], [0, 12, 10, 17, -26]), (np.double, [0.0, 0.031066908499895136, 0.5214135908877832, 0.45780736035689296, 0.5906586745934036], [0, -801, 51, 194, -653]), pytest.param( np.longdouble, [0.0, 0.20492557202724854, 0.4277180662199366, 0.9888085019891495, 0.9620175814461964], [0, -7400, 14266, -7822, -8721], marks=[ pytest.mark.skipif( np.finfo(np.double) == np.finfo(np.longdouble), reason="long double is same as double"), pytest.mark.skipif( platform.machine().startswith("ppc"), reason="IBM double double"), ] ) ]) def test_roundtrip(self, ftype, frac_vals, exp_vals): for frac, exp in zip(frac_vals, exp_vals): f = np.ldexp(frac, exp, dtype=ftype) n, d = f.as_integer_ratio() try: # workaround for gh-9968 nf = np.longdouble(str(n)) df = np.longdouble(str(d)) except (OverflowError, RuntimeWarning): # the values may not fit in any float type pytest.skip("longdouble too small on this platform") assert_equal(nf / df, f, "{}/{}".format(n, d))
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