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| """ | |
| An enhanced distutils, providing support for Fortran compilers, for BLAS, | |
| LAPACK and other common libraries for numerical computing, and more. | |
| Public submodules are:: | |
| misc_util | |
| system_info | |
| cpu_info | |
| log | |
| exec_command | |
| For details, please see the *Packaging* and *NumPy Distutils User Guide* | |
| sections of the NumPy Reference Guide. | |
| For configuring the preference for and location of libraries like BLAS and | |
| LAPACK, and for setting include paths and similar build options, please see | |
| ``site.cfg.example`` in the root of the NumPy repository or sdist. | |
| """ | |
| # Must import local ccompiler ASAP in order to get | |
| # customized CCompiler.spawn effective. | |
| from . import ccompiler | |
| from . import unixccompiler | |
| from .npy_pkg_config import * | |
| # If numpy is installed, add distutils.test() | |
| try: | |
| from . import __config__ | |
| # Normally numpy is installed if the above import works, but an interrupted | |
| # in-place build could also have left a __config__.py. In that case the | |
| # next import may still fail, so keep it inside the try block. | |
| from numpy._pytesttester import PytestTester | |
| test = PytestTester(__name__) | |
| del PytestTester | |
| except ImportError: | |
| pass | |
| def customized_fcompiler(plat=None, compiler=None): | |
| from numpy.distutils.fcompiler import new_fcompiler | |
| c = new_fcompiler(plat=plat, compiler=compiler) | |
| c.customize() | |
| return c | |
| def customized_ccompiler(plat=None, compiler=None, verbose=1): | |
| c = ccompiler.new_compiler(plat=plat, compiler=compiler, verbose=verbose) | |
| c.customize('') | |
| return c | |