本文整理汇总了Python中numpy.longcomplex方法的典型用法代码示例。如果您正苦于以下问题：Python numpy.longcomplex方法的具体用法？Python numpy.longcomplex怎么用？Python numpy.longcomplex使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类numpy的用法示例。
在下文中一共展示了numpy.longcomplex方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: is_longdouble_finfo_bogus
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def is_longdouble_finfo_bogus():
info = np.finfo(np.longcomplex)
return not np.isfinite(np.log10(info.tiny/info.eps)) 示例2: test_loss_of_precision_longcomplex
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_loss_of_precision_longcomplex(self):
self.check_loss_of_precision(np.longcomplex) 示例3: test_complex
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_complex(self):
if np.dtype(np.longcomplex).itemsize == np.dtype(np.complex).itemsize:
# longdouble == double; so fft is supported
return
x = np.random.randn(10).astype(np.longdouble) + \
1j * np.random.randn(10).astype(np.longdouble)
for f in [fft, ifft]:
try:
f(x)
raise AssertionError("Type %r not supported but does not fail" %
np.longcomplex)
except ValueError:
pass 示例4: test_real
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_real(self):
if np.dtype(np.longdouble).itemsize == np.dtype(np.double).itemsize:
# longdouble == double; so fft is supported
return
x = np.random.randn(10).astype(np.longcomplex)
for f in [fft, ifft]:
try:
f(x)
raise AssertionError("Type %r not supported but does not fail" %
np.longcomplex)
except ValueError:
pass 示例5: test_get_blas_funcs
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_get_blas_funcs():
# check that it returns Fortran code for arrays that are
# fortran-ordered
f1, f2, f3 = get_blas_funcs(
('axpy', 'axpy', 'axpy'),
(np.empty((2,2), dtype=np.complex64, order='F'),
np.empty((2,2), dtype=np.complex128, order='C'))
)
# get_blas_funcs will choose libraries depending on most generic
# array
assert_equal(f1.typecode, 'z')
assert_equal(f2.typecode, 'z')
if cblas is not None:
assert_equal(f1.module_name, 'cblas')
assert_equal(f2.module_name, 'cblas')
# check defaults.
f1 = get_blas_funcs('rotg')
assert_equal(f1.typecode, 'd')
# check also dtype interface
f1 = get_blas_funcs('gemm', dtype=np.complex64)
assert_equal(f1.typecode, 'c')
f1 = get_blas_funcs('gemm', dtype='F')
assert_equal(f1.typecode, 'c')
# extended precision complex
f1 = get_blas_funcs('gemm', dtype=np.longcomplex)
assert_equal(f1.typecode, 'z')
# check safe complex upcasting
f1 = get_blas_funcs('axpy',
(np.empty((2,2), dtype=np.float64),
np.empty((2,2), dtype=np.complex64))
)
assert_equal(f1.typecode, 'z') 示例6: test_complex
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_complex(self):
if np.dtype(np.longcomplex).itemsize == np.dtype(complex).itemsize:
# longdouble == double; so fft is supported
return
x = np.random.randn(10).astype(np.longdouble) + \
1j * np.random.randn(10).astype(np.longdouble)
for f in [fft, ifft]:
try:
f(x)
raise AssertionError("Type %r not supported but does not fail" %
np.longcomplex)
except ValueError:
pass 示例7: test_get_blas_funcs
# 需要导入模块: import numpy [as 别名]
# 或者: from numpy import longcomplex [as 别名]
def test_get_blas_funcs():
# check that it returns Fortran code for arrays that are
# fortran-ordered
f1, f2, f3 = get_blas_funcs(
('axpy', 'axpy', 'axpy'),
(np.empty((2, 2), dtype=np.complex64, order='F'),
np.empty((2, 2), dtype=np.complex128, order='C'))
)
# get_blas_funcs will choose libraries depending on most generic
# array
assert_equal(f1.typecode, 'z')
assert_equal(f2.typecode, 'z')
if cblas is not None:
assert_equal(f1.module_name, 'cblas')
assert_equal(f2.module_name, 'cblas')
# check defaults.
f1 = get_blas_funcs('rotg')
assert_equal(f1.typecode, 'd')
# check also dtype interface
f1 = get_blas_funcs('gemm', dtype=np.complex64)
assert_equal(f1.typecode, 'c')
f1 = get_blas_funcs('gemm', dtype='F')
assert_equal(f1.typecode, 'c')
# extended precision complex
f1 = get_blas_funcs('gemm', dtype=np.longcomplex)
assert_equal(f1.typecode, 'z')
# check safe complex upcasting
f1 = get_blas_funcs('axpy',
(np.empty((2, 2), dtype=np.float64),
np.empty((2, 2), dtype=np.complex64))
)
assert_equal(f1.typecode, 'z')