python-c-extension

I'm working on a python c-extension and want to create an instance of python datetime object with a unix timestamp. On the documentation site ( http://docs.python.org/c-api/datetime.html ) I found the function PyDateTime_FromTimestamp() which returns a new reference based on an input parameter. The description is as follows: Create and return a new datetime.datetime object given an argument tuple suitable for passing to datetime.datetime.fromtimestamp(). I tried out to call the function with a PyFloat_Object but the function always returns NULL (even if I simply put in 0). Does somebody have

We have a package (rebound) up on PyPI that includes a C extension . The relevant part of the setup.py file looks like this (simplified): libreboundmodule = Extension('librebound', sources = [ 'src/rebound.c'], include_dirs = ['src'],) Additional libraries need access to rebound.h, but when one runs pip install rebound it doesn't install rebound.h anywhere. How can we get distutils/setuptools to install rebound.h somewhere along with all the python modules? We're hoping that we can have pip install rebound do all the work so the user doesn't have to run any additional commands. 来源： https:/

I am writing a c-extension for python. As you can see below, the aim of the code is to calculate the euclidean-dist of two vectors. the first param n is the dimension of the vectors, the second , the third param is the two list of float. I call the function in python like this: import cutil cutil.c_euclidean_dist(2,[1.0,1,0],[0,0]) and it worked well, return the right result. but if i do it for more than 100 times(the dimension is 1*1000), it will cause segmentation fault - core dump: #!/usr/bin/env python #coding:utf-8 import cutil import science import time a = [] b = [] d = 0.0 for x in

From what I can tell, the difference between PyList_SetItem and PyList_SETITEM is that PyList_SetItem will lower the reference count of the list item it overwrites and PyList_SETITEM does not. Is there any reason why I shouldn't just use PyList_SetItem all the time? Or would I get into trouble if I used PyList_SetItem to initialize an index position in a list? PyList_SET_ITEM is an unsafe macro that basically sticks an object into the list's internal pointer array without any bound checks. If anything non- NULL is in the i th position of the list, a reference leak will occur. PyList_SET_ITEM

I want to run a cpu intensive program in Python across multiple cores and am trying to figure out how to write C extensions to do this. Are there any code samples or tutorials on this? You can already break a Python program into multiple processes. The OS will already allocate your processes across all the cores. Do this. python part1.py | python part2.py | python part3.py | ... etc. The OS will assure that part uses as many resources as possible. You can trivially pass information along this pipeline by using cPickle on sys.stdin and sys.stdout . Without too much work, this can often lead to

I have been getting my feet wet with writing Python modules in C. I've started with just a simple example of computing the norm of two points. The code looks like this, _norm.c #include <Python.h> #include "norm.h" static char module_docstring[] = "This module provides an interface for computing the norm using C."; static char norm_docstring[] = "Calculate the norm between two points"; static char norm2_docstring[] = "Calculate the square norm between two points. For efficiency."; static PyObject *norm_norm(PyObject *self, PyObject *args); static PyObject *norm_norm2(PyObject *self, PyObject