GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy

jtriley

#!/usr/bin/env python
import os
import shlex
import struct
import platform
import subprocess
 
 
def get_terminal_size():
    """ getTerminalSize()

bellbind

def import_as(module_name, globals_):
    """__import__ for relative module style.
    usage:
         mod = import_as("..templates.jinja2", globals())
         # it is same as: import ..templates.jinja2 as mod
    """
    level = 0
    for ch in module_name:
        if ch != ".": break
        level += 1