Python distutils 模块,core() 实例源码

我们从Python开源项目中,提取了以下42个代码示例,用于说明如何使用distutils.core()

项目:radar    作者:amoose136    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:radar    作者:amoose136    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:radar    作者:amoose136    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:radar    作者:amoose136    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:radar    作者:amoose136    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def get_num_build_jobs():
    """
    Get number of parallel build jobs set by the --parallel command line
    argument of setup.py
    If the command did not receive a setting the environment variable
    NPY_NUM_BUILD_JOBS checked and if that is unset it returns 1.

    Returns
    -------
    out : int
        number of parallel jobs that can be run

    """
    from numpy.distutils.core import get_distribution
    envjobs = int(os.environ.get("NPY_NUM_BUILD_JOBS", 1))
    dist = get_distribution()
    # may be None during configuration
    if dist is None:
        return envjobs

    # any of these three may have the job set, take the largest
    cmdattr = (getattr(dist.get_command_obj('build'), 'parallel', None),
               getattr(dist.get_command_obj('build_ext'), 'parallel', None),
               getattr(dist.get_command_obj('build_clib'), 'parallel', None))
    if all(x is None for x in cmdattr):
        return envjobs
    else:
        return max(x for x in cmdattr if x is not None)
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def get_distribution(self):
        """Return the distutils distribution object for self."""
        from numpy.distutils.core import get_distribution
        return get_distribution()
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def append_to(self, extlib):
        """Append libraries, include_dirs to extension or library item.
        """
        if is_sequence(extlib):
            lib_name, build_info = extlib
            dict_append(build_info,
                        libraries=self.libraries,
                        include_dirs=self.include_dirs)
        else:
            from numpy.distutils.core import Extension
            assert isinstance(extlib, Extension), repr(extlib)
            extlib.libraries.extend(self.libraries)
            extlib.include_dirs.extend(self.include_dirs)
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def get_cmd(cmdname, _cache={}):
    if cmdname not in _cache:
        import distutils.core
        dist = distutils.core._setup_distribution
        if dist is None:
            from distutils.errors import DistutilsInternalError
            raise DistutilsInternalError(
                  'setup distribution instance not initialized')
        cmd = dist.get_command_obj(cmdname)
        _cache[cmdname] = cmd
    return _cache[cmdname]
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def get_numpy_include_dirs():
    # numpy_include_dirs are set by numpy/core/setup.py, otherwise []
    include_dirs = Configuration.numpy_include_dirs[:]
    if not include_dirs:
        import numpy
        include_dirs = [ numpy.get_include() ]
    # else running numpy/core/setup.py
    return include_dirs
项目:radar    作者:amoose136    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:krpcScripts    作者:jwvanderbeck    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者:SignalMedia    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:aws-lambda-numpy    作者:vitolimandibhrata    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:lambda-numba    作者:rlhotovy    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:deliver    作者:orchestor    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info
项目:Alfred    作者:jkachhadia    | 项目源码 | 文件源码
def get_info(pkgname, dirs=None):
    """
    Return an info dict for a given C library.

    The info dict contains the necessary options to use the C library.

    Parameters
    ----------
    pkgname : str
        Name of the package (should match the name of the .ini file, without
        the extension, e.g. foo for the file foo.ini).
    dirs : sequence, optional
        If given, should be a sequence of additional directories where to look
        for npy-pkg-config files. Those directories are searched prior to the
        NumPy directory.

    Returns
    -------
    info : dict
        The dictionary with build information.

    Raises
    ------
    PkgNotFound
        If the package is not found.

    See Also
    --------
    Configuration.add_npy_pkg_config, Configuration.add_installed_library,
    get_pkg_info

    Examples
    --------
    To get the necessary information for the npymath library from NumPy:

    >>> npymath_info = np.distutils.misc_util.get_info('npymath')
    >>> npymath_info                                    #doctest: +SKIP
    {'define_macros': [], 'libraries': ['npymath'], 'library_dirs':
    ['.../numpy/core/lib'], 'include_dirs': ['.../numpy/core/include']}

    This info dict can then be used as input to a `Configuration` instance::

      config.add_extension('foo', sources=['foo.c'], extra_info=npymath_info)

    """
    from numpy.distutils.npy_pkg_config import parse_flags
    pkg_info = get_pkg_info(pkgname, dirs)

    # Translate LibraryInfo instance into a build_info dict
    info = parse_flags(pkg_info.cflags())
    for k, v in parse_flags(pkg_info.libs()).items():
        info[k].extend(v)

    # add_extension extra_info argument is ANAL
    info['define_macros'] = info['macros']
    del info['macros']
    del info['ignored']

    return info