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- # This file provides configuration information about non-Python dependencies for
- # numpy.distutils-using packages. Create a file like this called "site.cfg" next
- # to your package's setup.py file and fill in the appropriate sections. Not all
- # packages will use all sections so you should leave out sections that your
- # package does not use.
-
- # To assist automatic installation like easy_install, the user's home directory
- # will also be checked for the file ~/.numpy-site.cfg .
-
- # The format of the file is that of the standard library's ConfigParser module.
- #
- # http://www.python.org/doc/current/lib/module-ConfigParser.html
- #
- # Each section defines settings that apply to one particular dependency. Some of
- # the settings are general and apply to nearly any section and are defined here.
- # Settings specific to a particular section will be defined near their section.
- #
- # libraries
- # Comma-separated list of library names to add to compile the extension
- # with. Note that these should be just the names, not the filenames. For
- # example, the file "libfoo.so" would become simply "foo".
- # libraries = lapack,f77blas,cblas,atlas
- #
- # library_dirs
- # List of directories to add to the library search path when compiling
- # extensions with this dependency. Use the character given by os.pathsep
- # to separate the items in the list. On UN*X-type systems (Linux, FreeBSD,
- # OS X):
- # library_dirs = /usr/lib:/usr/local/lib
- # On Windows:
- # library_dirs = c:\mingw\lib,c:\atlas\lib
- #
- # include_dirs
- # List of directories to add to the header file earch path.
- # include_dirs = /usr/include:/usr/local/include
- #
- # src_dirs
- # List of directories that contain extracted source code for the
- # dependency. For some dependencies, numpy.distutils will be able to build
- # them from source if binaries cannot be found. The FORTRAN BLAS and
- # LAPACK libraries are one example. However, most dependencies are more
- # complicated and require actual installation that you need to do
- # yourself.
- # src_dirs = /home/rkern/src/BLAS_SRC:/home/rkern/src/LAPACK_SRC
- #
- # search_static_first
- # Boolean (one of (0, false, no, off) for False or (1, true, yes, on) for
- # True) to tell numpy.distutils to prefer static libraries (.a) over
- # shared libraries (.so). It is turned off by default.
- # search_static_first = false
-
- # Defaults
- # ========
- # The settings given here will apply to all other sections if not overridden.
- # This is a good place to add general library and include directories like
- # /usr/local/{lib,include}
- #
- #[DEFAULT]
- #library_dirs = /usr/local/lib
- #include_dirs = /usr/local/include
-
- # Optimized BLAS and LAPACK
- # -------------------------
- # Use the blas_opt and lapack_opt sections to give any settings that are
- # required to link against your chosen BLAS and LAPACK, including the regular
- # FORTRAN reference BLAS and also ATLAS. Some other sections still exist for
- # linking against certain optimized libraries (e.g. [atlas], [lapack_atlas]),
- # however, they are now deprecated and should not be used.
- #
- # These are typical configurations for ATLAS (assuming that the library and
- # include directories have already been set in [DEFAULT]; the include directory
- # is important for the BLAS C interface):
- #
- #[blas_opt]
- #libraries = f77blas, cblas, atlas
- #
- #[lapack_opt]
- #libraries = lapack, f77blas, cblas, atlas
- #
- # If your ATLAS was compiled with pthreads, the names of the libraries might be
- # different:
- #
- #[blas_opt]
- #libraries = ptf77blas, ptcblas, atlas
- #
- #[lapack_opt]
- #libraries = lapack, ptf77blas, ptcblas, atlas
-
- # UMFPACK
- # -------
- # The UMFPACK library is used to factor large sparse matrices. It, in turn,
- # depends on the AMD library for reordering the matrices for better performance.
- # Note that the AMD library has nothing to do with AMD (Advanced Micro Devices),
- # the CPU company.
- #
- # http://www.cise.ufl.edu/research/sparse/umfpack/
- # http://www.cise.ufl.edu/research/sparse/amd/
- #
- #[amd]
- #amd_libs = amd
- #
- #[umfpack]
- #umfpack_libs = umfpack
-
- # FFT libraries
- # -------------
- # There are two FFT libraries that we can configure here: FFTW (2 and 3) and djbfft.
- #
- # http://fftw.org/
- # http://cr.yp.to/djbfft.html
- #
- # Given only this section, numpy.distutils will try to figure out which version
- # of FFTW you are using.
- #[fftw]
- #libraries = fftw3
- #
- # For djbfft, numpy.distutils will look for either djbfft.a or libdjbfft.a .
- #[djbfft]
- #include_dirs = /usr/local/djbfft/include
- #library_dirs = /usr/local/djbfft/lib
-
-
- # MKL
- #----
- # For recent (9.0.21, for example) mkl, you need to change the names of the
- # lapack library. Assuming you installed the mkl in /opt, for a 32 bits cpu:
- # [mkl]
- # library_dirs = /opt/intel/mkl/9.1.023/lib/32/
- # lapack_libs = mkl_lapack
- #
- # For 10.*, on 32 bits machines:
- # [mkl]
- # library_dirs = /opt/intel/mkl/10.0.1.014/lib/32/
- # lapack_libs = mkl_lapack
- # mkl_libs = mkl, guide
-