Python numpy.NZERO Examples

The following are 30 code examples of numpy.NZERO(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy , or try the search function .
Example #1
Source File: test_constants.py    From chainer with MIT License 6 votes vote down vote up 
def test_constants():
    assert chainerx.Inf is numpy.Inf
    assert chainerx.Infinity is numpy.Infinity
    assert chainerx.NAN is numpy.NAN
    assert chainerx.NINF is numpy.NINF
    assert chainerx.NZERO is numpy.NZERO
    assert chainerx.NaN is numpy.NaN
    assert chainerx.PINF is numpy.PINF
    assert chainerx.PZERO is numpy.PZERO
    assert chainerx.e is numpy.e
    assert chainerx.euler_gamma is numpy.euler_gamma
    assert chainerx.inf is numpy.inf
    assert chainerx.infty is numpy.infty
    assert chainerx.nan is numpy.nan
    assert chainerx.newaxis is numpy.newaxis
    assert chainerx.pi is numpy.pi
Example #2
Source File: test_umath.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_positive_zero(self):
        # atan2(y, +-0) returns +pi/2 for y > 0.
        assert_almost_equal(ncu.arctan2(1, np.PZERO), 0.5 * np.pi)
        assert_almost_equal(ncu.arctan2(1, np.NZERO), 0.5 * np.pi)
Example #3
Source File: test_umath.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_zero_negative(self):
        # atan2(+-0, x) returns +-pi for x < 0.
        assert_almost_equal(ncu.arctan2(np.PZERO, -1), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, -1), -np.pi)
Example #4
Source File: test_umath.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_zero_nzero(self):
        # atan2(+-0, -0) returns +-pi.
        assert_almost_equal(ncu.arctan2(np.PZERO, np.NZERO), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, np.NZERO), -np.pi)
Example #5
Source File: test_umath_complex.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_zero(self):
        # carg(-0 +- 0i) returns +- pi
        check_real_value(ncu._arg, np.NZERO, np.PZERO,  np.pi, False)
        check_real_value(ncu._arg, np.NZERO, np.NZERO, -np.pi, False)

        # carg(+0 +- 0i) returns +- 0
        check_real_value(ncu._arg, np.PZERO, np.PZERO, np.PZERO)
        check_real_value(ncu._arg, np.PZERO, np.NZERO, np.NZERO)

        # carg(x +- 0i) returns +- 0 for x > 0
        check_real_value(ncu._arg, 1, np.PZERO, np.PZERO, False)
        check_real_value(ncu._arg, 1, np.NZERO, np.NZERO, False)

        # carg(x +- 0i) returns +- pi for x < 0
        check_real_value(ncu._arg, -1, np.PZERO,  np.pi, False)
        check_real_value(ncu._arg, -1, np.NZERO, -np.pi, False)

        # carg(+- 0 + yi) returns pi/2 for y > 0
        check_real_value(ncu._arg, np.PZERO, 1, 0.5 * np.pi, False)
        check_real_value(ncu._arg, np.NZERO, 1, 0.5 * np.pi, False)

        # carg(+- 0 + yi) returns -pi/2 for y < 0
        check_real_value(ncu._arg, np.PZERO, -1, 0.5 * np.pi, False)
        check_real_value(ncu._arg, np.NZERO, -1, -0.5 * np.pi, False)

    #def test_branch_cuts(self):
    #    _check_branch_cut(ncu._arg, -1, 1j, -1, 1)
Example #6
Source File: test_umath.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_zero_nzero(self):
        # atan2(+-0, -0) returns +-pi.
        assert_almost_equal(ncu.arctan2(np.PZERO, np.NZERO), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, np.NZERO), -np.pi)
Example #7
Source File: test_umath.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_zero_pzero(self):
        # atan2(+-0, +0) returns +-0.
        assert_arctan2_ispzero(np.PZERO, np.PZERO)
        assert_arctan2_isnzero(np.NZERO, np.PZERO)
Example #8
Source File: test_umath.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_zero_negative(self):
        # atan2(+-0, x) returns +-pi for x < 0.
        assert_almost_equal(ncu.arctan2(np.PZERO, -1), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, -1), -np.pi)
Example #9
Source File: test_umath.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_zero_positive(self):
        # atan2(+-0, x) returns +-0 for x > 0.
        assert_arctan2_ispzero(np.PZERO, 1)
        assert_arctan2_isnzero(np.NZERO, 1)
Example #10
Source File: test_umath.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_positive_zero(self):
        # atan2(y, +-0) returns +pi/2 for y > 0.
        assert_almost_equal(ncu.arctan2(1, np.PZERO), 0.5 * np.pi)
        assert_almost_equal(ncu.arctan2(1, np.NZERO), 0.5 * np.pi)
Example #11
Source File: test_utils.py    From pySINDy with MIT License 5 votes vote down vote up 
def test_negative_zero(self):
        self._test_not_equal(np.PZERO, np.NZERO)
Example #12
Source File: test_utils.py    From pySINDy with MIT License 5 votes vote down vote up 
def test_nan(self):
        # Test that nan is 'far' from small, tiny, inf, max and min
        for dt in [np.float32, np.float64]:
            if dt == np.float32:
                maxulp = 1e6
            else:
                maxulp = 1e12
            inf = np.array([np.inf]).astype(dt)
            nan = np.array([np.nan]).astype(dt)
            big = np.array([np.finfo(dt).max])
            tiny = np.array([np.finfo(dt).tiny])
            zero = np.array([np.PZERO]).astype(dt)
            nzero = np.array([np.NZERO]).astype(dt)
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, inf,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, big,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, tiny,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, zero,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, nzero,
                          maxulp=maxulp))
Example #13
Source File: test_umath_complex.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_fabs(self):
        # Test that np.abs(x +- 0j) == np.abs(x) (as mandated by C99 for cabs)
        x = np.array([1+0j], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(1, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.inf, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.nan, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))
Example #14
Source File: test_utils.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_nan(self):
        # Test that nan is 'far' from small, tiny, inf, max and min
        for dt in [np.float32, np.float64]:
            if dt == np.float32:
                maxulp = 1e6
            else:
                maxulp = 1e12
            inf = np.array([np.inf]).astype(dt)
            nan = np.array([np.nan]).astype(dt)
            big = np.array([np.finfo(dt).max])
            tiny = np.array([np.finfo(dt).tiny])
            zero = np.array([np.PZERO]).astype(dt)
            nzero = np.array([np.NZERO]).astype(dt)
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, inf,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, big,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, tiny,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, zero,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, nzero,
                          maxulp=maxulp))
Example #15
Source File: test_utils.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_negative_zero(self):
        self._test_not_equal(np.PZERO, np.NZERO)
Example #16
Source File: test_umath_complex.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_fabs(self):
        # Test that np.abs(x +- 0j) == np.abs(x) (as mandated by C99 for cabs)
        x = np.array([1+0j], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(1, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.inf, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.nan, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))
Example #17
Source File: test_umath.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_zero_positive(self):
        # atan2(+-0, x) returns +-0 for x > 0.
        assert_arctan2_ispzero(np.PZERO, 1)
        assert_arctan2_isnzero(np.NZERO, 1)
Example #18
Source File: test_umath.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_zero_negative(self):
        # atan2(+-0, x) returns +-pi for x < 0.
        assert_almost_equal(ncu.arctan2(np.PZERO, -1), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, -1), -np.pi)
Example #19
Source File: test_umath.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_zero_pzero(self):
        # atan2(+-0, +0) returns +-0.
        assert_arctan2_ispzero(np.PZERO, np.PZERO)
        assert_arctan2_isnzero(np.NZERO, np.PZERO)
Example #20
Source File: test_umath.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_zero_nzero(self):
        # atan2(+-0, -0) returns +-pi.
        assert_almost_equal(ncu.arctan2(np.PZERO, np.NZERO), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, np.NZERO), -np.pi)
Example #21
Source File: test_umath_complex.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_zero(self):
        # carg(-0 +- 0i) returns +- pi
        check_real_value(ncu._arg, np.NZERO, np.PZERO,  np.pi, False)
        check_real_value(ncu._arg, np.NZERO, np.NZERO, -np.pi, False)

        # carg(+0 +- 0i) returns +- 0
        check_real_value(ncu._arg, np.PZERO, np.PZERO, np.PZERO)
        check_real_value(ncu._arg, np.PZERO, np.NZERO, np.NZERO)

        # carg(x +- 0i) returns +- 0 for x > 0
        check_real_value(ncu._arg, 1, np.PZERO, np.PZERO, False)
        check_real_value(ncu._arg, 1, np.NZERO, np.NZERO, False)

        # carg(x +- 0i) returns +- pi for x < 0
        check_real_value(ncu._arg, -1, np.PZERO,  np.pi, False)
        check_real_value(ncu._arg, -1, np.NZERO, -np.pi, False)

        # carg(+- 0 + yi) returns pi/2 for y > 0
        check_real_value(ncu._arg, np.PZERO, 1, 0.5 * np.pi, False)
        check_real_value(ncu._arg, np.NZERO, 1, 0.5 * np.pi, False)

        # carg(+- 0 + yi) returns -pi/2 for y < 0
        check_real_value(ncu._arg, np.PZERO, -1, 0.5 * np.pi, False)
        check_real_value(ncu._arg, np.NZERO, -1, -0.5 * np.pi, False)

    #def test_branch_cuts(self):
    #    _check_branch_cut(ncu._arg, -1, 1j, -1, 1)
Example #22
Source File: test_umath_complex.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_fabs(self):
        # Test that np.abs(x +- 0j) == np.abs(x) (as mandated by C99 for cabs)
        x = np.array([1+0j], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(1, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.inf, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))

        x = np.array([complex(np.nan, np.NZERO)], dtype=complex)
        assert_array_equal(np.abs(x), np.real(x))
Example #23
Source File: test_utils.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_nan(self):
        # Test that nan is 'far' from small, tiny, inf, max and min
        for dt in [np.float32, np.float64]:
            if dt == np.float32:
                maxulp = 1e6
            else:
                maxulp = 1e12
            inf = np.array([np.inf]).astype(dt)
            nan = np.array([np.nan]).astype(dt)
            big = np.array([np.finfo(dt).max])
            tiny = np.array([np.finfo(dt).tiny])
            zero = np.array([np.PZERO]).astype(dt)
            nzero = np.array([np.NZERO]).astype(dt)
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, inf,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, big,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, tiny,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, zero,
                          maxulp=maxulp))
            assert_raises(AssertionError,
                          lambda: assert_array_max_ulp(nan, nzero,
                          maxulp=maxulp))
Example #24
Source File: test_utils.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_negative_zero(self):
        self._test_not_equal(np.PZERO, np.NZERO)
Example #25
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_positive_zero(self):
        # atan2(y, +-0) returns +pi/2 for y > 0.
        assert_almost_equal(ncu.arctan2(1, np.PZERO), 0.5 * np.pi)
        assert_almost_equal(ncu.arctan2(1, np.NZERO), 0.5 * np.pi)
Example #26
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_zero_positive(self):
        # atan2(+-0, x) returns +-0 for x > 0.
        assert_arctan2_ispzero(np.PZERO, 1)
        assert_arctan2_isnzero(np.NZERO, 1)
Example #27
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_zero_negative(self):
        # atan2(+-0, x) returns +-pi for x < 0.
        assert_almost_equal(ncu.arctan2(np.PZERO, -1), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, -1), -np.pi)
Example #28
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_zero_pzero(self):
        # atan2(+-0, +0) returns +-0.
        assert_arctan2_ispzero(np.PZERO, np.PZERO)
        assert_arctan2_isnzero(np.NZERO, np.PZERO)
Example #29
Source File: test_umath.py    From Computable with MIT License 5 votes vote down vote up 
def test_zero_nzero(self):
        # atan2(+-0, -0) returns +-pi.
        assert_almost_equal(ncu.arctan2(np.PZERO, np.NZERO), np.pi)
        assert_almost_equal(ncu.arctan2(np.NZERO, np.NZERO), -np.pi)
Example #30
Source File: test_umath_complex.py    From Computable with MIT License 5 votes vote down vote up 
def test_zero(self):
        # carg(-0 +- 0i) returns +- pi
        yield check_real_value, ncu._arg, np.NZERO, np.PZERO,  np.pi, False
        yield check_real_value, ncu._arg, np.NZERO, np.NZERO, -np.pi, False

        # carg(+0 +- 0i) returns +- 0
        yield check_real_value, ncu._arg, np.PZERO, np.PZERO, np.PZERO
        yield check_real_value, ncu._arg, np.PZERO, np.NZERO, np.NZERO

        # carg(x +- 0i) returns +- 0 for x > 0
        yield check_real_value, ncu._arg, 1, np.PZERO, np.PZERO, False
        yield check_real_value, ncu._arg, 1, np.NZERO, np.NZERO, False

        # carg(x +- 0i) returns +- pi for x < 0
        yield check_real_value, ncu._arg, -1, np.PZERO,  np.pi, False
        yield check_real_value, ncu._arg, -1, np.NZERO, -np.pi, False

        # carg(+- 0 + yi) returns pi/2 for y > 0
        yield check_real_value, ncu._arg, np.PZERO, 1, 0.5 * np.pi, False
        yield check_real_value, ncu._arg, np.NZERO, 1, 0.5 * np.pi, False

        # carg(+- 0 + yi) returns -pi/2 for y < 0
        yield check_real_value, ncu._arg, np.PZERO, -1, 0.5 * np.pi, False
        yield check_real_value, ncu._arg, np.NZERO, -1, -0.5 * np.pi, False

    #def test_branch_cuts(self):
    #    _check_branch_cut(ncu._arg, -1, 1j, -1, 1)