diff options
| -rw-r--r-- | doc/source/user/c-info.python-as-glue.rst | 38 |
1 files changed, 19 insertions, 19 deletions
diff --git a/doc/source/user/c-info.python-as-glue.rst b/doc/source/user/c-info.python-as-glue.rst index 750fdddf0..01d2a64d1 100644 --- a/doc/source/user/c-info.python-as-glue.rst +++ b/doc/source/user/c-info.python-as-glue.rst @@ -944,7 +944,7 @@ Linux system this is accomplished using:: Which creates a shared_library named code.so in the current directory. On Windows don't forget to either add ``__declspec(dllexport)`` in front of void on the line preceding each function definition, or write a -code.def file that lists the names of the functions to be exported. +``code.def`` file that lists the names of the functions to be exported. A suitable Python interface to this shared library should be constructed. To do this create a file named interface.py with the @@ -954,25 +954,25 @@ following lines at the top: __all__ = ['add', 'filter2d'] - import numpy as N + import numpy as np import os _path = os.path.dirname('__file__') - lib = N.ctypeslib.load_library('code', _path) - _typedict = {'zadd' : complex, 'sadd' : N.single, - 'cadd' : N.csingle, 'dadd' : float} + lib = np.ctypeslib.load_library('code', _path) + _typedict = {'zadd' : complex, 'sadd' : np.single, + 'cadd' : np.csingle, 'dadd' : float} for name in _typedict.keys(): val = getattr(lib, name) val.restype = None _type = _typedict[name] - val.argtypes = [N.ctypeslib.ndpointer(_type, + val.argtypes = [np.ctypeslib.ndpointer(_type, flags='aligned, contiguous'), - N.ctypeslib.ndpointer(_type, + np.ctypeslib.ndpointer(_type, flags='aligned, contiguous'), - N.ctypeslib.ndpointer(_type, + np.ctypeslib.ndpointer(_type, flags='aligned, contiguous,'\ 'writeable'), - N.ctypeslib.c_intp] + np.ctypeslib.c_intp] This code loads the shared library named ``code.{ext}`` located in the same path as this file. It then adds a return type of void to the @@ -989,13 +989,13 @@ strides and shape of an ndarray) as the last two arguments.: .. code-block:: python lib.dfilter2d.restype=None - lib.dfilter2d.argtypes = [N.ctypeslib.ndpointer(float, ndim=2, + lib.dfilter2d.argtypes = [np.ctypeslib.ndpointer(float, ndim=2, flags='aligned'), - N.ctypeslib.ndpointer(float, ndim=2, + np.ctypeslib.ndpointer(float, ndim=2, flags='aligned, contiguous,'\ 'writeable'), - ctypes.POINTER(N.ctypeslib.c_intp), - ctypes.POINTER(N.ctypeslib.c_intp)] + ctypes.POINTER(np.ctypeslib.c_intp), + ctypes.POINTER(np.ctypeslib.c_intp)] Next, define a simple selection function that chooses which addition function to call in the shared library based on the data-type: @@ -1020,11 +1020,11 @@ written simply as: def add(a, b): requires = ['CONTIGUOUS', 'ALIGNED'] - a = N.asanyarray(a) + a = np.asanyarray(a) func, dtype = select(a.dtype) - a = N.require(a, dtype, requires) - b = N.require(b, dtype, requires) - c = N.empty_like(a) + a = np.require(a, dtype, requires) + b = np.require(b, dtype, requires) + c = np.empty_like(a) func(a,b,c,a.size) return c @@ -1033,8 +1033,8 @@ and: .. code-block:: python def filter2d(a): - a = N.require(a, float, ['ALIGNED']) - b = N.zeros_like(a) + a = np.require(a, float, ['ALIGNED']) + b = np.zeros_like(a) lib.dfilter2d(a, b, a.ctypes.strides, a.ctypes.shape) return b |