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)
python类NZERO的实例源码
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))
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))
test_umath.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
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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)
test_umath.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
作者: SignalMedia
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def test_zero_pzero(self):
# atan2(+-0, +0) returns +-0.
assert_arctan2_ispzero(np.PZERO, np.PZERO)
assert_arctan2_isnzero(np.NZERO, np.PZERO)
test_umath.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
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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)
test_umath.py 文件源码
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作者: SignalMedia
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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)
test_umath.py 文件源码
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda
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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)
test_umath_complex.py 文件源码
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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))
test_umath_complex.py 文件源码
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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)
test_umath_complex.py 文件源码
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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
test_utils.py 文件源码
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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))
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)
