| So, provided you have some image files of form "_tmp0000.png", you can run generate_movies.sh to create a "result.txt" file which contains a list of the files successfully generated. | |
| Additional columns are used to indicate testing status: '1' (failed), '0' (successful), '0.5' (works, but serious artifacts), '?' (couldn't try). | |
| The script will provide the first column by testing if the movie plays using ffplay. Note, no movie gets displayed to the screen, so this is fairly quick. I have included my "result.txt" file which contains testing results for additional platforms. Platforms are: | |
| * LibreOffice Impress on Linux | |
| * QuickTime on Mac | |
| * MS Office PowerPoint on Mac | |
| * OpenOffice Impress on Mac |
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
| ### MATPLOTLIBRC FORMAT | |
| # This is a sample matplotlib configuration file - you can find a copy | |
| # of it on your system in | |
| # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
| # there, please note that it will be overridden in your next install. | |
| # If you want to keep a permanent local copy that will not be | |
| # over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux | |
| # like systems) and C:\Documents and Settings\yourname\.matplotlib | |
| # (win32 systems). |