| """Property decorator for the `__doc__` attribute. | |
| Useful for when you want a custom docstring for class instances | |
| while still showing a generic docstring for the class itself. | |
| A naive attempt using `@property` generally breaks Sphinx as | |
| `cls.__doc__` returns the property object itself, and not a string. | |
| See the documentation for `docstring_property` for an example. | |
| """ |
| *.py[oc] |
| $ LLVM_CONFIG_PATH=llvm-config-3.1 python setup.py build | |
| LLVM version = 3.1 | |
| Generate intrinsic IDs | |
| Using PTX | |
| running build | |
| running build_py | |
| creating build | |
| creating build/lib.linux-x86_64-2.7 | |
| creating build/lib.linux-x86_64-2.7/llvm | |
| copying llvm/__init__.py -> build/lib.linux-x86_64-2.7/llvm |
| <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN" "http://www.w3.org/TR/REC-html40/strict.dtd"> | |
| <html><head> | |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> | |
| </head><body> | |
| <p>Python 2.7.3 (default, Aug 1 2012, 05:14:39) </p> | |
| <p>Type "copyright", "credits" or "license" for more information.</p> | |
| <p><br /></p> | |
| <p>IPython 0.14.dev -- An enhanced Interactive Python.</p> | |
| <p>? -> Introduction and overview of IPython's features.</p> | |
| <p>%quickref -> Quick reference.</p> |
| .............................................. | |
| ---------------------------------------------------------------------- | |
| Ran 46 tests in 0.060s | |
| OK | |
| ....................................................E.....................................................................................................................................................................................................................................................................................................................................................................................................................................K......... | |
| ====================================================================== | |
| ERROR: test format constraint, and validity of jpeg and png | |
| ---------------------------------------------------------------------- | |
| Traceback (most recent call last): |
| .............................................. | |
| ---------------------------------------------------------------------- | |
| Ran 46 tests in 0.066s | |
| OK | |
| ..................................................................................................................................................................................................................S....................................................................................................................................K......... | |
| ---------------------------------------------------------------------- | |
| Ran 353 tests in 23.375s | |
| OK (KNOWNFAIL=1, SKIP=1) |
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
| import sys | |
| import nose.tools as nt | |
| from IPython.core import oinspect | |
| def test_oinspect_f2py(): | |
| from numpy import f2py | |
| # This is FORTRAN, so the indentation is important: | |
| source = \ |
| """ | |
| An Python re-implementation of hierarchical module import. | |
| Function names and arguments have been chosen to mimic the C code in | |
| `Python/import.c` whenever possible. | |
| This code is intended to be read, not executed. However, it does work | |
| -- all you need to do to enable it is "import knee". | |
| (The name is a pun on the klunkier predecessor of this module, "ni".) |