Commit d902b7cf authored by scoder's avatar scoder Committed by GitHub

Merge pull request #2160 from gabrieldemarmiesse/pretty_rst

Made other readmes pretty for github.
parents bfee7b0f fdf53b96
* To run demos do::
To run demos do::
cd Demos
make test
which runs run_primes.py, run_numeric_demo.py, run_spam.py,
integrate_timing.py, callback/runcheese.py and embed/embedded
which runs ``run_primes.py``, ``run_numeric_demo.py``, ``run_spam.py``,
``integrate_timing.py``, ``callback/runcheese.py`` and ``embed/embedded``
* For other demos::
For other demos::
cd libraries
python setup.py build_ext --inplace
python -c 'import call_mymath;print(call_mymath.call_sinc(1))'
To run one of the benchmarks for 10 iterations to compare cython and python timings::
To run one of the benchmarks for 10 iterations to compare cython and python timings::
cd benchmarks
python setup.py build_ext --inplace
python nqueens.py -n 10
python -c 'import nqueens;print(nqueens.test_n_queens(10))'
To demo cython/bin/cython_freeze::
To demo ``cython/bin/cython_freeze``::
make
./nCr 10 5
......
......@@ -2,11 +2,11 @@ This example demonstrates how you can wrap a C API
that has a callback interface, so that you can
pass Python functions to it as callbacks.
The files cheesefinder.h and cheesefinder.c
The files ``cheesefinder.h`` and ``cheesefinder.c``
represent the C library to be wrapped.
The file cheese.pyx is the Pyrex module
The file ``cheese.pyx`` is the Cython module
which wraps it.
The file run_cheese.py demonstrates how to
The file ``run_cheese.py`` demonstrates how to
call the wrapper.
......@@ -2,4 +2,4 @@ This example demonstrates how Cython-generated code
can be called directly from a main program written in C.
The Windows makefiles were contributed by
Duncan Booth <Duncan.Booth@SuttonCourtenay.org.uk>.
Duncan Booth: Duncan.Booth@SuttonCourtenay.org.uk.
NAME
====
cython_freeze - create a C file for embedding Cython modules
**cython_freeze** - create a C file for embedding Cython modules
SYNOPSIS
========
::
cython_freeze [-o outfile] [-p] module [...]
cython_freeze [-o outfile] [-p] module [...]
DESCRIPTION
......@@ -32,21 +33,20 @@ modules, but it requires another C source file to be created.
OPTIONS
=======
::
-o FILE, --outfile=FILE write output to FILE instead of standard output
-p, --pymain do not automatically run the first module as __main__
-o FILE, --outfile=FILE write output to FILE instead of standard output
-p, --pymain do not automatically run the first module as __main__
EXAMPLE
=======
In the Demos/freeze directory, there exist two Cython modules:
In the ``Demos/freeze`` directory, there exist two Cython modules:
lcmath.pyx
A module that interfaces with the -lm library.
* ``lcmath.pyx``: A module that interfaces with the -lm library.
combinatorics.pyx
A module that implements n-choose-r using lcmath.
* ``combinatorics.pyx``: A module that implements n-choose-r using lcmath.
Both modules have the Python idiom ``if __name__ == "__main__"``, which only
execute if that module is the "main" module. If run as main, lcmath prints the
......
......@@ -3,7 +3,7 @@
Create a C file for embedding one or more Cython source files.
Requires Cython 0.11.2 (or perhaps newer).
See Demos/freeze/README.txt for more details.
See Demos/freeze/README.rst for more details.
"""
from __future__ import print_function
......
== Pyximport ==
Pyximport
=========
Download: pyx-import-1.0.tar.gz
<http://www.prescod.net/pyximport/pyximport-1.0.tar.gz>
Pyrex is a compiler. Therefore it is natural that people tend to go
through an edit/compile/test cycle with Pyrex modules. But my personal
Cython is a compiler. Therefore it is natural that people tend to go
through an edit/compile/test cycle with Cython modules. But my personal
opinion is that one of the deep insights in Python's implementation is
that a language can be compiled (Python modules are compiled to .pyc)
files and hide that compilation process from the end-user so that they
do not have to worry about it. Pyximport does this for Pyrex modules.
For instance if you write a Pyrex module called "foo.pyx", with
Pyximport you can import it in a regular Python module like this:
do not have to worry about it. Pyximport does this for Cython modules.
For instance if you write a Cython module called ``foo.pyx``, with
Pyximport you can import it in a regular Python module like this::
import pyximport; pyximport.install()
import foo
import pyximport; pyximport.install()
import foo
Doing so will result in the compilation of foo.pyx (with appropriate
Doing so will result in the compilation of ``foo.pyx`` (with appropriate
exceptions if it has an error in it).
If you would always like to import pyrex files without building them
If you would always like to import Cython files without building them
specially, you can also add the first line above to your sitecustomize.py.
That will install the hook every time you run Python. Then you can use
Pyrex modules just with simple import statements. I like to test my
Pyrex modules like this:
Cython modules just with simple import statements. I like to test my
Cython modules like this::
python -c "import foo"
python -c "import foo"
See help(pyximport.install) to learn its options for controlling the
default behavior of "import" and "reload".
default behavior of ``import`` and ``reload``.
== Dependency Handling ==
Dependency Handling
-------------------
In Pyximport 1.1 it is possible to declare that your module depends on
multiple files, (likely ".h" and ".pxd" files). If your Pyrex module is
named "foo" and thus has the filename "foo.pyx" then you should make
another file in the same directory called "foo.pyxdep". The
"modname.pyxdep" file can be a list of filenames or "globs" (like
"*.pxd" or "include/*.h"). Each filename or glob must be on a separate
multiple files, (likely ``.h`` and ``.pxd`` files). If your Cython module is
named ``foo`` and thus has the filename ``foo.pyx`` then you should make
another file in the same directory called ``foo.pyxdep``. The
``modname.pyxdep`` file can be a list of filenames or ``globs`` (like
``*.pxd`` or ``include/*.h``). Each filename or glob must be on a separate
line. Pyximport will check the file date for each of those files before
deciding whether to rebuild the module. In order to keep track of the
fact that the dependency has been handled, Pyximport updates the
modification time of your ".pyx" source file. Future versions may do
modification time of your ``.pyx`` source file. Future versions may do
something more sophisticated like informing distutils of the
dependencies directly.
== Limitations ==
Pyximport does not give you any control over how your Pyrex file is
Limitations
-----------
Pyximport does not give you any control over how your Cython file is
compiled. Usually the defaults are fine. You might run into problems if
you wanted to write your program in half-C, half-Pyrex and build them
you wanted to write your program in half-C, half-Cython and build them
into a single library. Pyximport 1.2 will probably do this.
Pyximport does not hide the Distutils/GCC warnings and errors generated
......@@ -59,15 +56,16 @@ something went wrong and why. And if nothing went wrong it will give you
the warm fuzzy that pyximport really did rebuild your module as it was
supposed to.
== For further thought and discussion ==
For further thought and discussion
----------------------------------
"setup.py install" does not modify sitecustomize.py for you. Should it?
``setup.py install`` does not modify ``sitecustomize.py`` for you. Should it?
Modifying Python's "standard interpreter" behaviour may be more than
most people expect of a package they install..
Pyximport puts your ".c" file beside your ".pyx" file (analogous to
".pyc" beside ".py"). But it puts the platform-specific binary in a
Pyximport puts your ``.c`` file beside your ``.pyx`` file (analogous to
``.pyc`` beside ``.py``). But it puts the platform-specific binary in a
build directory as per normal for Distutils. If I could wave a magic
wand and get Pyrex or distutils or whoever to put the build directory I
wand and get Cython or distutils or whoever to put the build directory I
might do it but not necessarily: having it at the top level is VERY
HELPFUL for debugging Pyrex problems.
HELPFUL for debugging Cython problems.
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