本文整理匯總了Python中numpy.linalg.lapack_lite.__file__方法的典型用法代碼示例。如果您正苦於以下問題:Python lapack_lite.__file__方法的具體用法?Python lapack_lite.__file__怎麽用?Python lapack_lite.__file__使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.linalg.lapack_lite
的用法示例。
在下文中一共展示了lapack_lite.__file__方法的4個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_lapack
# 需要導入模塊: from numpy.linalg import lapack_lite [as 別名]
# 或者: from numpy.linalg.lapack_lite import __file__ [as 別名]
def test_lapack(self):
f = FindDependenciesLdd()
deps = f.grep_dependencies(lapack_lite.__file__,
[b'libg2c', b'libgfortran'])
assert_(len(deps) <= 1,
"""Both g77 and gfortran runtimes linked in lapack_lite ! This is likely to
cause random crashes and wrong results. See numpy INSTALL.txt for more
information.""")
示例2: test_lapack
# 需要導入模塊: from numpy.linalg import lapack_lite [as 別名]
# 或者: from numpy.linalg.lapack_lite import __file__ [as 別名]
def test_lapack(self):
f = FindDependenciesLdd()
deps = f.grep_dependencies(lapack_lite.__file__,
asbytes_nested(['libg2c', 'libgfortran']))
self.assertFalse(len(deps) > 1,
"""Both g77 and gfortran runtimes linked in lapack_lite ! This is likely to
cause random crashes and wrong results. See numpy INSTALL.txt for more
information.""")
示例3: test_lapack
# 需要導入模塊: from numpy.linalg import lapack_lite [as 別名]
# 或者: from numpy.linalg.lapack_lite import __file__ [as 別名]
def test_lapack(self):
f = FindDependenciesLdd()
deps = f.grep_dependencies(lapack_lite.__file__,
asbytes_nested(['libg2c', 'libgfortran']))
self.assertFalse(len(deps) > 1,
"""Both g77 and gfortran runtimes linked in lapack_lite ! This is likely to
cause random crashes and wrong results. See numpy INSTALL.txt for more
information.""")
示例4: test_lapack
# 需要導入模塊: from numpy.linalg import lapack_lite [as 別名]
# 或者: from numpy.linalg.lapack_lite import __file__ [as 別名]
def test_lapack(self):
f = FindDependenciesLdd()
deps = f.grep_dependencies(lapack_lite.__file__,
[b'libg2c', b'libgfortran'])
self.assertFalse(len(deps) > 1,
"""Both g77 and gfortran runtimes linked in lapack_lite ! This is likely to
cause random crashes and wrong results. See numpy INSTALL.txt for more
information.""")