python Programming Glossary: ctypes.c_double

http://stackoverflow.com/questions/5253854/python-import-dll

lib 'myFunc' #my func is double myFunc double func.restype ctypes.c_double value func ctypes.c_double 42.0 share improve this answer..

Python ctypes argument errors

http://stackoverflow.com/questions/5267434/python-ctypes-argument-errors

'test.dll' func nDLL 'haloshg_add' func.restype ctypes.c_double func.argtypes ctypes.c_double ctypes.c_double print func 5.0.. 'haloshg_add' func.restype ctypes.c_double func.argtypes ctypes.c_double ctypes.c_double print func 5.0 5.0 It returns the error for.. func.restype ctypes.c_double func.argtypes ctypes.c_double ctypes.c_double print func 5.0 5.0 It returns the error for the line that called..

Is shared readonly data copied to different processes for Python multiprocessing?

http://stackoverflow.com/questions/5549190/is-shared-readonly-data-copied-to-different-processes-for-python-multiprocessing

import numpy as np shared_array_base multiprocessing.Array ctypes.c_double 10 10 shared_array np.ctypeslib.as_array shared_array_base.get_obj..

Increment a python floating point value by the smallest possible amount

http://stackoverflow.com/questions/6063755/increment-a-python-floating-point-value-by-the-smallest-possible-amount

0 _nextafter getattr _libm _funcname _nextafter.restype ctypes.c_double _nextafter.argtypes ctypes.c_double ctypes.c_double def nextafter.. _nextafter.restype ctypes.c_double _nextafter.argtypes ctypes.c_double ctypes.c_double def nextafter x y Returns the next floating.. ctypes.c_double _nextafter.argtypes ctypes.c_double ctypes.c_double def nextafter x y Returns the next floating point number after..

How to convert pointer to c array to python array

http://stackoverflow.com/questions/7543675/how-to-convert-pointer-to-c-array-to-python-array

copying you could use .from_address method ArrayType ctypes.c_double DataLength.value addr ctypes.addressof Data.contents a np.frombuffer..

Use numpy array in shared memory for multiprocessing

http://stackoverflow.com/questions/7894791/use-numpy-array-in-shared-memory-for-multiprocessing

to synchronize access when needed shared_arr mp.Array ctypes.c_double N # ... def f i # could be anything numpy accepts as an index.. # create shared array N M 100 11 shared_arr mp.Array ctypes.c_double N arr tonumpyarray shared_arr # fill with random values arr..