我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用numpy.NZERO。
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)
def test_zero_pzero(self): # atan2(+-0, +0) returns +-0. assert_arctan2_ispzero(np.PZERO, np.PZERO) assert_arctan2_isnzero(np.NZERO, np.PZERO)
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)
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)
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)
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=np.complex) assert_array_equal(np.abs(x), np.real(x)) x = np.array([complex(1, np.NZERO)], dtype=np.complex) assert_array_equal(np.abs(x), np.real(x)) x = np.array([complex(np.inf, np.NZERO)], dtype=np.complex) assert_array_equal(np.abs(x), np.real(x)) x = np.array([complex(np.nan, np.NZERO)], dtype=np.complex) assert_array_equal(np.abs(x), np.real(x))
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)
def test_special_values(self): # carg(-np.inf +- yi) returns +-pi for finite y > 0 yield check_real_value, ncu._arg, -np.inf, 1, np.pi, False yield check_real_value, ncu._arg, -np.inf, -1, -np.pi, False # carg(np.inf +- yi) returns +-0 for finite y > 0 yield check_real_value, ncu._arg, np.inf, 1, np.PZERO, False yield check_real_value, ncu._arg, np.inf, -1, np.NZERO, False # carg(x +- np.infi) returns +-pi/2 for finite x yield check_real_value, ncu._arg, 1, np.inf, 0.5 * np.pi, False yield check_real_value, ncu._arg, 1, -np.inf, -0.5 * np.pi, False # carg(-np.inf +- np.infi) returns +-3pi/4 yield check_real_value, ncu._arg, -np.inf, np.inf, 0.75 * np.pi, False yield check_real_value, ncu._arg, -np.inf, -np.inf, -0.75 * np.pi, False # carg(np.inf +- np.infi) returns +-pi/4 yield check_real_value, ncu._arg, np.inf, np.inf, 0.25 * np.pi, False yield check_real_value, ncu._arg, np.inf, -np.inf, -0.25 * np.pi, False # carg(x + yi) returns np.nan if x or y is nan yield check_real_value, ncu._arg, np.nan, 0, np.nan, False yield check_real_value, ncu._arg, 0, np.nan, np.nan, False yield check_real_value, ncu._arg, np.nan, np.inf, np.nan, False yield check_real_value, ncu._arg, np.inf, np.nan, np.nan, False
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) self.assertRaises(AssertionError, lambda: assert_array_max_ulp(nan, inf, maxulp=maxulp)) self.assertRaises(AssertionError, lambda: assert_array_max_ulp(nan, big, maxulp=maxulp)) self.assertRaises(AssertionError, lambda: assert_array_max_ulp(nan, tiny, maxulp=maxulp)) self.assertRaises(AssertionError, lambda: assert_array_max_ulp(nan, zero, maxulp=maxulp)) self.assertRaises(AssertionError, lambda: assert_array_max_ulp(nan, nzero, maxulp=maxulp))
