Installing Python Modules (Legacy version)
Author: | Greg Ward |
---|
See also
- Installing Python Modules
- The up to date module installation documentations
This document describes the Python Distribution Utilities (“Distutils”) from the end-user’s point-of-view, describing how to extend the capabilities of a standard Python installation by building and installing third-party Python modules and extensions.
Note
This guide only covers the basic tools for building and distributing extensions that are provided as part of this version of Python. Third party tools offer easier to use and more secure alternatives. Refer to the quick recommendations section in the Python Packaging User Guide for more information.
Introduction
Although Python’s extensive standard library covers many programming needs, there often comes a time when you need to add some new functionality to your Python installation in the form of third-party modules. This might be necessary to support your own programming, or to support an application that you want to use and that happens to be written in Python.
In the past, there has been little support for adding third-party modules to an existing Python installation. With the introduction of the Python Distribution Utilities (Distutils for short) in Python 2.0, this changed.
This document is aimed primarily at the people who need to install third-party Python modules: end-users and system administrators who just need to get some Python application running, and existing Python programmers who want to add some new goodies to their toolbox. You don’t need to know Python to read this document; there will be some brief forays into using Python’s interactive mode to explore your installation, but that’s it. If you’re looking for information on how to distribute your own Python modules so that others may use them, see the Distributing Python Modules (Legacy version) manual. Debugging the setup script may also be of interest.
Best case: trivial installation
In the best case, someone will have prepared a special version of the module distribution you want to install that is targeted specifically at your platform and is installed just like any other software on your platform. For example, the module developer might make an executable installer available for Windows users, an RPM package for users of RPM-based Linux systems (Red Hat, SuSE, Mandrake, and many others), a Debian package for users of Debian-based Linux systems, and so forth.
In that case, you would download the installer appropriate to your platform and
do the obvious thing with it: run it if it’s an executable installer, rpm
--install
it if it’s an RPM, etc. You don’t need to run Python or a setup
script, you don’t need to compile anything—you might not even need to read any
instructions (although it’s always a good idea to do so anyway).
Of course, things will not always be that easy. You might be interested in a module distribution that doesn’t have an easy-to-use installer for your platform. In that case, you’ll have to start with the source distribution released by the module’s author/maintainer. Installing from a source distribution is not too hard, as long as the modules are packaged in the standard way. The bulk of this document is about building and installing modules from standard source distributions.
The new standard: Distutils
If you download a module source distribution, you can tell pretty quickly if it
was packaged and distributed in the standard way, i.e. using the Distutils.
First, the distribution’s name and version number will be featured prominently
in the name of the downloaded archive, e.g. foo-1.0.tar.gz
or
widget-0.9.7.zip
. Next, the archive will unpack into a similarly-named
directory: foo-1.0
or widget-0.9.7
. Additionally, the
distribution will contain a setup script setup.py
, and a file named
README.txt
or possibly just README
, which should explain that
building and installing the module distribution is a simple matter of running
one command from a terminal:
python setup.py install
For Windows, this command should be run from a command prompt window (Start ‣ Accessories):
setup.py install
If all these things are true, then you already know how to build and install the modules you’ve just downloaded: Run the command above. Unless you need to install things in a non-standard way or customize the build process, you don’t really need this manual. Or rather, the above command is everything you need to get out of this manual.
Standard Build and Install
As described in section The new standard: Distutils, building and installing a module distribution using the Distutils is usually one simple command to run from a terminal:
python setup.py install
Platform variations
You should always run the setup command from the distribution root directory,
i.e. the top-level subdirectory that the module source distribution unpacks
into. For example, if you’ve just downloaded a module source distribution
foo-1.0.tar.gz
onto a Unix system, the normal thing to do is:
gunzip -c foo-1.0.tar.gz | tar xf - # unpacks into directory foo-1.0
cd foo-1.0
python setup.py install
On Windows, you’d probably download foo-1.0.zip
. If you downloaded the
archive file to C:\Temp
, then it would unpack into
C:\Temp\foo-1.0
; you can use either an archive manipulator with a
graphical user interface (such as WinZip) or a command-line tool (such as
unzip or pkunzip) to unpack the archive. Then, open a
command prompt window and run:
cd c:\Temp\foo-1.0
python setup.py install
Splitting the job up
Running setup.py install
builds and installs all modules in one run. If you
prefer to work incrementally—especially useful if you want to customize the
build process, or if things are going wrong—you can use the setup script to do
one thing at a time. This is particularly helpful when the build and install
will be done by different users—for example, you might want to build a module
distribution and hand it off to a system administrator for installation (or do
it yourself, with super-user privileges).
For example, you can build everything in one step, and then install everything in a second step, by invoking the setup script twice:
python setup.py build
python setup.py install
If you do this, you will notice that running the install command
first runs the build command, which—in this case—quickly notices
that it has nothing to do, since everything in the build
directory is
up-to-date.
You may not need this ability to break things down often if all you do is install modules downloaded off the ‘net, but it’s very handy for more advanced tasks. If you get into distributing your own Python modules and extensions, you’ll run lots of individual Distutils commands on their own.
How building works
As implied above, the build command is responsible for putting the
files to install into a build directory. By default, this is build
under the distribution root; if you’re excessively concerned with speed, or want
to keep the source tree pristine, you can change the build directory with the
--build-base
option. For example:
python setup.py build --build-base=/path/to/pybuild/foo-1.0
(Or you could do this permanently with a directive in your system or personal Distutils configuration file; see section Distutils Configuration Files.) Normally, this isn’t necessary.
The default layout for the build tree is as follows:
--- build/ --- lib/
or
--- build/ --- lib.<plat>/
temp.<plat>/
where <plat>
expands to a brief description of the current OS/hardware
platform and Python version. The first form, with just a lib
directory,
is used for “pure module distributions”—that is, module distributions that
include only pure Python modules. If a module distribution contains any
extensions (modules written in C/C++), then the second form, with two <plat>
directories, is used. In that case, the temp.plat
directory holds
temporary files generated by the compile/link process that don’t actually get
installed. In either case, the lib
(or lib.plat
) directory
contains all Python modules (pure Python and extensions) that will be installed.
In the future, more directories will be added to handle Python scripts, documentation, binary executables, and whatever else is needed to handle the job of installing Python modules and applications.
How installation works
After the build command runs (whether you run it explicitly, or the
install command does it for you), the work of the install
command is relatively simple: all it has to do is copy everything under
build/lib
(or build/lib.plat
) to your chosen installation
directory.
If you don’t choose an installation directory—i.e., if you just run setup.py
install
—then the install command installs to the standard
location for third-party Python modules. This location varies by platform and
by how you built/installed Python itself. On Unix (and Mac OS X, which is also
Unix-based), it also depends on whether the module distribution being installed
is pure Python or contains extensions (“non-pure”):
Platform | Standard installation location | Default value | Notes |
---|---|---|---|
Unix (pure) | prefix/lib/pythonX.Y/site-packages |
/usr/local/lib/pythonX.Y/site-packages |
(1) |
Unix (non-pure) | exec-prefix/lib/pythonX.Y/site-packages |
/usr/local/lib/pythonX.Y/site-packages |
(1) |
Windows | prefix\Lib\site-packages |
C:\PythonXY\Lib\site-packages |
(2) |
Notes:
- Most Linux distributions include Python as a standard part of the system, so
prefix
andexec-prefix
are usually both/usr
on Linux. If you build Python yourself on Linux (or any Unix-like system), the defaultprefix
andexec-prefix
are/usr/local
. - The default installation directory on Windows was
C:\Program Files\Python
under Python 1.6a1, 1.5.2, and earlier.
prefix
and exec-prefix
stand for the directories that Python
is installed to, and where it finds its libraries at run-time. They are always
the same under Windows, and very often the same under Unix and Mac OS X. You
can find out what your Python installation uses for prefix
and
exec-prefix
by running Python in interactive mode and typing a few
simple commands. Under Unix, just type python
at the shell prompt. Under
Windows, choose Start ‣ Programs ‣ Python X.Y ‣
Python (command line). Once the interpreter is started, you type Python code
at the prompt. For example, on my Linux system, I type the three Python
statements shown below, and get the output as shown, to find out my
prefix
and exec-prefix
:
Python 2.4 (#26, Aug 7 2004, 17:19:02)
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> sys.prefix
'/usr'
>>> sys.exec_prefix
'/usr'
A few other placeholders are used in this document: X.Y
stands for the
version of Python, for example 2.7
; distname
will be replaced by
the name of the module distribution being installed. Dots and capitalization
are important in the paths; for example, a value that uses python2.7
on UNIX
will typically use Python27
on Windows.
If you don’t want to install modules to the standard location, or if you don’t have permission to write there, then you need to read about alternate installations in section Alternate Installation. If you want to customize your installation directories more heavily, see section Custom Installation on custom installations.
Alternate Installation
Often, it is necessary or desirable to install modules to a location other than the standard location for third-party Python modules. For example, on a Unix system you might not have permission to write to the standard third-party module directory. Or you might wish to try out a module before making it a standard part of your local Python installation. This is especially true when upgrading a distribution already present: you want to make sure your existing base of scripts still works with the new version before actually upgrading.
The Distutils install command is designed to make installing module distributions to an alternate location simple and painless. The basic idea is that you supply a base directory for the installation, and the install command picks a set of directories (called an installation scheme) under this base directory in which to install files. The details differ across platforms, so read whichever of the following sections applies to you.
Note that the various alternate installation schemes are mutually exclusive: you
can pass --user
, or --home
, or --prefix
and --exec-prefix
, or
--install-base
and --install-platbase
, but you can’t mix from these
groups.
Alternate installation: the user scheme
This scheme is designed to be the most convenient solution for users that don’t have write permission to the global site-packages directory or don’t want to install into it. It is enabled with a simple option:
python setup.py install --user
Files will be installed into subdirectories of site.USER_BASE
(written
as userbase
hereafter). This scheme installs pure Python modules and
extension modules in the same location (also known as site.USER_SITE
).
Here are the values for UNIX, including Mac OS X:
Type of file | Installation directory |
---|---|
modules | userbase/lib/pythonX.Y/site-packages |
scripts | userbase/bin |
data | userbase |
C headers | userbase/include/pythonX.Y/distname |
And here are the values used on Windows:
Type of file | Installation directory |
---|---|
modules | userbase\PythonXY\site-packages |
scripts | userbase\Scripts |
data | userbase |
C headers | userbase\PythonXY\Include\distname |
The advantage of using this scheme compared to the other ones described below is
that the user site-packages directory is under normal conditions always included
in sys.path
(see site
for more information), which means that
there is no additional step to perform after running the setup.py
script
to finalize the installation.
The build_ext command also has a --user
option to add
userbase/include
to the compiler search path for header files and
userbase/lib
to the compiler search path for libraries as well as to
the runtime search path for shared C libraries (rpath).
Alternate installation: the home scheme
The idea behind the “home scheme” is that you build and maintain a personal
stash of Python modules. This scheme’s name is derived from the idea of a
“home” directory on Unix, since it’s not unusual for a Unix user to make their
home directory have a layout similar to /usr/
or /usr/local/
.
This scheme can be used by anyone, regardless of the operating system they
are installing for.
Installing a new module distribution is as simple as
python setup.py install --home=<dir>
where you can supply any directory you like for the --home
option. On
Unix, lazy typists can just type a tilde (~
); the install command
will expand this to your home directory:
python setup.py install --home=~
To make Python find the distributions installed with this scheme, you may have
to modify Python’s search path or edit
sitecustomize
(see site
) to call site.addsitedir()
or edit
sys.path
.
The --home
option defines the installation base directory. Files are
installed to the following directories under the installation base as follows:
Type of file | Installation directory |
---|---|
modules | home/lib/python |
scripts | home/bin |
data | home |
C headers | home/include/python/distname |
(Mentally replace slashes with backslashes if you’re on Windows.)
Changed in version 2.4: The --home
option used to be supported only on Unix.
Alternate installation: Unix (the prefix scheme)
The “prefix scheme” is useful when you wish to use one Python installation to perform the build/install (i.e., to run the setup script), but install modules into the third-party module directory of a different Python installation (or something that looks like a different Python installation). If this sounds a trifle unusual, it is—that’s why the user and home schemes come before. However, there are at least two known cases where the prefix scheme will be useful.
First, consider that many Linux distributions put Python in /usr
, rather
than the more traditional /usr/local
. This is entirely appropriate,
since in those cases Python is part of “the system” rather than a local add-on.
However, if you are installing Python modules from source, you probably want
them to go in /usr/local/lib/python2.X
rather than
/usr/lib/python2.X
. This can be done with
/usr/bin/python setup.py install --prefix=/usr/local
Another possibility is a network filesystem where the name used to write to a
remote directory is different from the name used to read it: for example, the
Python interpreter accessed as /usr/local/bin/python
might search for
modules in /usr/local/lib/python2.X
, but those modules would have to
be installed to, say, /mnt/@server/export/lib/python2.X
. This could
be done with
/usr/local/bin/python setup.py install --prefix=/mnt/@server/export
In either case, the --prefix
option defines the installation base, and
the --exec-prefix
option defines the platform-specific installation
base, which is used for platform-specific files. (Currently, this just means
non-pure module distributions, but could be expanded to C libraries, binary
executables, etc.) If --exec-prefix
is not supplied, it defaults to
--prefix
. Files are installed as follows:
Type of file | Installation directory |
---|---|
Python modules | prefix/lib/pythonX.Y/site-packages |
extension modules | exec-prefix/lib/pythonX.Y/site-packages |
scripts | prefix/bin |
data | prefix |
C headers | prefix/include/pythonX.Y/distname |
There is no requirement that --prefix
or --exec-prefix
actually point to an alternate Python installation; if the directories listed
above do not already exist, they are created at installation time.
Incidentally, the real reason the prefix scheme is important is simply that a
standard Unix installation uses the prefix scheme, but with --prefix
and --exec-prefix
supplied by Python itself as sys.prefix
and
sys.exec_prefix
. Thus, you might think you’ll never use the prefix scheme,
but every time you run python setup.py install
without any other options,
you’re using it.
Note that installing extensions to an alternate Python installation has no
effect on how those extensions are built: in particular, the Python header files
(Python.h
and friends) installed with the Python interpreter used to run
the setup script will be used in compiling extensions. It is your
responsibility to ensure that the interpreter used to run extensions installed
in this way is compatible with the interpreter used to build them. The best way
to do this is to ensure that the two interpreters are the same version of Python
(possibly different builds, or possibly copies of the same build). (Of course,
if your --prefix
and --exec-prefix
don’t even point to an
alternate Python installation, this is immaterial.)
Alternate installation: Windows (the prefix scheme)
Windows has no concept of a user’s home directory, and since the standard Python
installation under Windows is simpler than under Unix, the --prefix
option has traditionally been used to install additional packages in separate
locations on Windows.
python setup.py install --prefix="\Temp\Python"
to install modules to the \Temp\Python
directory on the current drive.
The installation base is defined by the --prefix
option; the
--exec-prefix
option is not supported under Windows, which means that
pure Python modules and extension modules are installed into the same location.
Files are installed as follows:
Type of file | Installation directory |
---|---|
modules | prefix\Lib\site-packages |
scripts | prefix\Scripts |
data | prefix |
C headers | prefix\Include\distname |
Custom Installation
Sometimes, the alternate installation schemes described in section Alternate Installation just don’t do what you want. You might want to tweak just one or two directories while keeping everything under the same base directory, or you might want to completely redefine the installation scheme. In either case, you’re creating a custom installation scheme.
To create a custom installation scheme, you start with one of the alternate schemes and override some of the installation directories used for the various types of files, using these options:
Type of file | Override option |
---|---|
Python modules | --install-purelib |
extension modules | --install-platlib |
all modules | --install-lib |
scripts | --install-scripts |
data | --install-data |
C headers | --install-headers |
These override options can be relative, absolute,
or explicitly defined in terms of one of the installation base directories.
(There are two installation base directories, and they are normally the same—
they only differ when you use the Unix “prefix scheme” and supply different
--prefix
and --exec-prefix
options; using --install-lib
will
override values computed or given for --install-purelib
and
--install-platlib
, and is recommended for schemes that don’t make a
difference between Python and extension modules.)
For example, say you’re installing a module distribution to your home directory
under Unix—but you want scripts to go in ~/scripts
rather than
~/bin
. As you might expect, you can override this directory with the
--install-scripts
option; in this case, it makes most sense to supply
a relative path, which will be interpreted relative to the installation base
directory (your home directory, in this case):
python setup.py install --home=~ --install-scripts=scripts
Another Unix example: suppose your Python installation was built and installed
with a prefix of /usr/local/python
, so under a standard installation
scripts will wind up in /usr/local/python/bin
. If you want them in
/usr/local/bin
instead, you would supply this absolute directory for the
--install-scripts
option:
python setup.py install --install-scripts=/usr/local/bin
(This performs an installation using the “prefix scheme,” where the prefix is
whatever your Python interpreter was installed with— /usr/local/python
in this case.)
If you maintain Python on Windows, you might want third-party modules to live in
a subdirectory of prefix
, rather than right in prefix
itself. This is almost as easy as customizing the script installation directory
—you just have to remember that there are two types of modules to worry about,
Python and extension modules, which can conveniently be both controlled by one
option:
python setup.py install --install-lib=Site
The specified installation directory is relative to prefix
. Of
course, you also have to ensure that this directory is in Python’s module
search path, such as by putting a .pth
file in a site directory (see
site
). See section Modifying Python’s Search Path to find out how to modify
Python’s search path.
If you want to define an entire installation scheme, you just have to supply all
of the installation directory options. The recommended way to do this is to
supply relative paths; for example, if you want to maintain all Python
module-related files under python
in your home directory, and you want a
separate directory for each platform that you use your home directory from, you
might define the following installation scheme:
python setup.py install --home=~ \
--install-purelib=python/lib \
--install-platlib=python/lib.$PLAT \
--install-scripts=python/scripts
--install-data=python/data
or, equivalently,
python setup.py install --home=~/python \
--install-purelib=lib \
--install-platlib='lib.$PLAT' \
--install-scripts=scripts
--install-data=data
$PLAT
is not (necessarily) an environment variable—it will be expanded by
the Distutils as it parses your command line options, just as it does when
parsing your configuration file(s).
Obviously, specifying the entire installation scheme every time you install a new module distribution would be very tedious. Thus, you can put these options into your Distutils config file (see section Distutils Configuration Files):
[install]
install-base=$HOME
install-purelib=python/lib
install-platlib=python/lib.$PLAT
install-scripts=python/scripts
install-data=python/data
or, equivalently,
[install]
install-base=$HOME/python
install-purelib=lib
install-platlib=lib.$PLAT
install-scripts=scripts
install-data=data
Note that these two are not equivalent if you supply a different installation base directory when you run the setup script. For example,
python setup.py install --install-base=/tmp
would install pure modules to /tmp/python/lib
in the first case, and
to /tmp/lib
in the second case. (For the second case, you probably
want to supply an installation base of /tmp/python
.)
You probably noticed the use of $HOME
and $PLAT
in the sample
configuration file input. These are Distutils configuration variables, which
bear a strong resemblance to environment variables. In fact, you can use
environment variables in config files on platforms that have such a notion but
the Distutils additionally define a few extra variables that may not be in your
environment, such as $PLAT
. (And of course, on systems that don’t have
environment variables, such as Mac OS 9, the configuration variables supplied by
the Distutils are the only ones you can use.) See section Distutils Configuration Files
for details.
Modifying Python’s Search Path
When the Python interpreter executes an import
statement, it searches
for both Python code and extension modules along a search path. A default value
for the path is configured into the Python binary when the interpreter is built.
You can determine the path by importing the sys
module and printing the
value of sys.path
.
$ python
Python 2.2 (#11, Oct 3 2002, 13:31:27)
[GCC 2.96 20000731 (Red Hat Linux 7.3 2.96-112)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> sys.path
['', '/usr/local/lib/python2.3', '/usr/local/lib/python2.3/plat-linux2',
'/usr/local/lib/python2.3/lib-tk', '/usr/local/lib/python2.3/lib-dynload',
'/usr/local/lib/python2.3/site-packages']
>>>
The null string in sys.path
represents the current working directory.
The expected convention for locally installed packages is to put them in the
.../site-packages/
directory, but you may want to install Python
modules into some arbitrary directory. For example, your site may have a
convention of keeping all software related to the web server under /www
.
Add-on Python modules might then belong in /www/python
, and in order to
import them, this directory must be added to sys.path
. There are several
different ways to add the directory.
The most convenient way is to add a path configuration file to a directory
that’s already on Python’s path, usually to the .../site-packages/
directory. Path configuration files have an extension of .pth
, and each
line must contain a single path that will be appended to sys.path
. (Because
the new paths are appended to sys.path
, modules in the added directories
will not override standard modules. This means you can’t use this mechanism for
installing fixed versions of standard modules.)
Paths can be absolute or relative, in which case they’re relative to the
directory containing the .pth
file. See the documentation of
the site
module for more information.
A slightly less convenient way is to edit the site.py
file in Python’s
standard library, and modify sys.path
. site.py
is automatically
imported when the Python interpreter is executed, unless the -S
switch
is supplied to suppress this behaviour. So you could simply edit
site.py
and add two lines to it:
import sys
sys.path.append('/www/python/')
However, if you reinstall the same major version of Python (perhaps when
upgrading from 2.2 to 2.2.2, for example) site.py
will be overwritten by
the stock version. You’d have to remember that it was modified and save a copy
before doing the installation.
There are two environment variables that can modify sys.path
.
PYTHONHOME
sets an alternate value for the prefix of the Python
installation. For example, if PYTHONHOME
is set to /www/python
,
the search path will be set to ['', '/www/python/lib/pythonX.Y/',
'/www/python/lib/pythonX.Y/plat-linux2', ...]
.
The PYTHONPATH
variable can be set to a list of paths that will be
added to the beginning of sys.path
. For example, if PYTHONPATH
is
set to /www/python:/opt/py
, the search path will begin with
['/www/python', '/opt/py']
. (Note that directories must exist in order to
be added to sys.path
; the site
module removes paths that don’t
exist.)
Finally, sys.path
is just a regular Python list, so any Python application
can modify it by adding or removing entries.
Distutils Configuration Files
As mentioned above, you can use Distutils configuration files to record personal or site preferences for any Distutils options. That is, any option to any command can be stored in one of two or three (depending on your platform) configuration files, which will be consulted before the command-line is parsed. This means that configuration files will override default values, and the command-line will in turn override configuration files. Furthermore, if multiple configuration files apply, values from “earlier” files are overridden by “later” files.
Location and names of config files
The names and locations of the configuration files vary slightly across platforms. On Unix and Mac OS X, the three configuration files (in the order they are processed) are:
Type of file | Location and filename | Notes |
---|---|---|
system | prefix/lib/pythonver/distutils/distutils.cfg |
(1) |
personal | $HOME/.pydistutils.cfg |
(2) |
local | setup.cfg |
(3) |
And on Windows, the configuration files are:
Type of file | Location and filename | Notes |
---|---|---|
system | prefix\Lib\distutils\distutils.cfg |
(4) |
personal | %HOME%\pydistutils.cfg |
(5) |
local | setup.cfg |
(3) |
On all platforms, the “personal” file can be temporarily disabled by passing the –no-user-cfg option.
Notes:
- Strictly speaking, the system-wide configuration file lives in the directory
where the Distutils are installed; under Python 1.6 and later on Unix, this is
as shown. For Python 1.5.2, the Distutils will normally be installed to
prefix/lib/python1.5/site-packages/distutils
, so the system configuration file should be put there under Python 1.5.2. - On Unix, if the
HOME
environment variable is not defined, the user’s home directory will be determined with thegetpwuid()
function from the standardpwd
module. This is done by theos.path.expanduser()
function used by Distutils. - I.e., in the current directory (usually the location of the setup script).
- (See also note (1).) Under Python 1.6 and later, Python’s default “installation
prefix” is
C:\Python
, so the system configuration file is normallyC:\Python\Lib\distutils\distutils.cfg
. Under Python 1.5.2, the default prefix wasC:\Program Files\Python
, and the Distutils were not part of the standard library—so the system configuration file would beC:\Program Files\Python\distutils\distutils.cfg
in a standard Python 1.5.2 installation under Windows. - On Windows, if the
HOME
environment variable is not defined,USERPROFILE
thenHOMEDRIVE
andHOMEPATH
will be tried. This is done by theos.path.expanduser()
function used by Distutils.
Syntax of config files
The Distutils configuration files all have the same syntax. The config files
are grouped into sections. There is one section for each Distutils command,
plus a global
section for global options that affect every command. Each
section consists of one option per line, specified as option=value
.
For example, the following is a complete config file that just forces all commands to run quietly by default:
[global]
verbose=0
If this is installed as the system config file, it will affect all processing of
any Python module distribution by any user on the current system. If it is
installed as your personal config file (on systems that support them), it will
affect only module distributions processed by you. And if it is used as the
setup.cfg
for a particular module distribution, it affects only that
distribution.
You could override the default “build base” directory and make the build* commands always forcibly rebuild all files with the following:
[build]
build-base=blib
force=1
which corresponds to the command-line arguments
python setup.py build --build-base=blib --force
except that including the build command on the command-line means that command will be run. Including a particular command in config files has no such implication; it only means that if the command is run, the options in the config file will apply. (Or if other commands that derive values from it are run, they will use the values in the config file.)
You can find out the complete list of options for any command using the
--help
option, e.g.:
python setup.py build --help
and you can find out the complete list of global options by using
--help
without a command:
python setup.py --help
See also the “Reference” section of the “Distributing Python Modules” manual.
Building Extensions: Tips and Tricks
Whenever possible, the Distutils try to use the configuration information made
available by the Python interpreter used to run the setup.py
script.
For example, the same compiler and linker flags used to compile Python will also
be used for compiling extensions. Usually this will work well, but in
complicated situations this might be inappropriate. This section discusses how
to override the usual Distutils behaviour.
Tweaking compiler/linker flags
Compiling a Python extension written in C or C++ will sometimes require specifying custom flags for the compiler and linker in order to use a particular library or produce a special kind of object code. This is especially true if the extension hasn’t been tested on your platform, or if you’re trying to cross-compile Python.
In the most general case, the extension author might have foreseen that
compiling the extensions would be complicated, and provided a Setup
file
for you to edit. This will likely only be done if the module distribution
contains many separate extension modules, or if they often require elaborate
sets of compiler flags in order to work.
A Setup
file, if present, is parsed in order to get a list of extensions
to build. Each line in a Setup
describes a single module. Lines have
the following structure:
module ... [sourcefile ...] [cpparg ...] [library ...]
Let’s examine each of the fields in turn.
- module is the name of the extension module to be built, and should be a valid Python identifier. You can’t just change this in order to rename a module (edits to the source code would also be needed), so this should be left alone.
- sourcefile is anything that’s likely to be a source code file, at least
judging by the filename. Filenames ending in
.c
are assumed to be written in C, filenames ending in.C
,.cc
, and.c++
are assumed to be C++, and filenames ending in.m
or.mm
are assumed to be in Objective C. - cpparg is an argument for the C preprocessor, and is anything starting with
-I
,-D
,-U
or-C
. - library is anything ending in
.a
or beginning with-l
or-L
.
If a particular platform requires a special library on your platform, you can
add it by editing the Setup
file and running python setup.py build
.
For example, if the module defined by the line
foo foomodule.c
must be linked with the math library libm.a
on your platform, simply add
-lm
to the line:
foo foomodule.c -lm
Arbitrary switches intended for the compiler or the linker can be supplied with
the -Xcompiler
arg and -Xlinker
arg options:
foo foomodule.c -Xcompiler -o32 -Xlinker -shared -lm
The next option after -Xcompiler
and -Xlinker
will be
appended to the proper command line, so in the above example the compiler will
be passed the -o32
option, and the linker will be passed
-shared
. If a compiler option requires an argument, you’ll have to
supply multiple -Xcompiler
options; for example, to pass -x c++
the Setup
file would have to contain -Xcompiler -x -Xcompiler c++
.
Compiler flags can also be supplied through setting the CFLAGS
environment variable. If set, the contents of CFLAGS
will be added to
the compiler flags specified in the Setup
file.
Using non-Microsoft compilers on Windows
Borland/CodeGear C++
This subsection describes the necessary steps to use Distutils with the Borland
C++ compiler version 5.5. First you have to know that Borland’s object file
format (OMF) is different from the format used by the Python version you can
download from the Python or ActiveState Web site. (Python is built with
Microsoft Visual C++, which uses COFF as the object file format.) For this
reason you have to convert Python’s library python25.lib
into the
Borland format. You can do this as follows:
coff2omf python25.lib python25_bcpp.lib
The coff2omf
program comes with the Borland compiler. The file
python25.lib
is in the Libs
directory of your Python
installation. If your extension uses other libraries (zlib, ...) you have to
convert them too.
The converted files have to reside in the same directories as the normal libraries.
How does Distutils manage to use these libraries with their changed names? If
the extension needs a library (eg. foo
) Distutils checks first if it
finds a library with suffix _bcpp
(eg. foo_bcpp.lib
) and then
uses this library. In the case it doesn’t find such a special library it uses
the default name (foo.lib
.) [1]
To let Distutils compile your extension with Borland C++ you now have to type:
python setup.py build --compiler=bcpp
If you want to use the Borland C++ compiler as the default, you could specify this in your personal or system-wide configuration file for Distutils (see section Distutils Configuration Files.)
See also
- C++Builder Compiler
- Information about the free C++ compiler from Borland, including links to the download pages.
- Creating Python Extensions Using Borland’s Free Compiler
- Document describing how to use Borland’s free command-line C++ compiler to build Python.
GNU C / Cygwin / MinGW
This section describes the necessary steps to use Distutils with the GNU C/C++ compilers in their Cygwin and MinGW distributions. [2] For a Python interpreter that was built with Cygwin, everything should work without any of these following steps.
Not all extensions can be built with MinGW or Cygwin, but many can. Extensions most likely to not work are those that use C++ or depend on Microsoft Visual C extensions.
To let Distutils compile your extension with Cygwin you have to type:
python setup.py build --compiler=cygwin
and for Cygwin in no-cygwin mode [3] or for MinGW type:
python setup.py build --compiler=mingw32
If you want to use any of these options/compilers as default, you should consider writing it in your personal or system-wide configuration file for Distutils (see section Distutils Configuration Files.)
Older Versions of Python and MinGW
The following instructions only apply if you’re using a version of Python inferior to 2.4.1 with a MinGW inferior to 3.0.0 (with binutils-2.13.90-20030111-1).
These compilers require some special libraries. This task is more complex than for Borland’s C++, because there is no program to convert the library. First you have to create a list of symbols which the Python DLL exports. (You can find a good program for this task at https://sourceforge.net/projects/mingw/files/MinGW/Extension/pexports/).
pexports python25.dll >python25.def
The location of an installed python25.dll
will depend on the
installation options and the version and language of Windows. In a “just for
me” installation, it will appear in the root of the installation directory. In
a shared installation, it will be located in the system directory.
Then you can create from these information an import library for gcc.
/cygwin/bin/dlltool --dllname python25.dll --def python25.def --output-lib libpython25.a
The resulting library has to be placed in the same directory as
python25.lib
. (Should be the libs
directory under your Python
installation directory.)
If your extension uses other libraries (zlib,...) you might have to convert them too. The converted files have to reside in the same directories as the normal libraries do.
See also
- Building Python modules on MS Windows platform with MinGW
- Information about building the required libraries for the MinGW environment.
Footnotes
[1] | This also means you could replace all existing COFF-libraries with OMF-libraries of the same name. |
[2] | Check https://www.sourceware.org/cygwin/ and http://www.mingw.org/ for more information |
[3] | Then you have no POSIX emulation available, but you also don’t need
cygwin1.dll . |