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1064 lines
42 KiB
TeX
1064 lines
42 KiB
TeX
\documentclass{howto}
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\usepackage{distutils}
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% TODO:
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% Fill in XXX comments
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\title{Installing Python Modules}
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% The audience for this document includes people who don't know anything
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% about Python and aren't about to learn the language just in order to
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% install and maintain it for their users, i.e. system administrators.
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% Thus, I have to be sure to explain the basics at some point:
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% sys.path and PYTHONPATH at least. Should probably give pointers to
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% other docs on "import site", PYTHONSTARTUP, PYTHONHOME, etc.
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%
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% Finally, it might be useful to include all the material from my "Care
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% and Feeding of a Python Installation" talk in here somewhere. Yow!
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\author{Greg Ward}
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\authoraddress{Email: \email{gward@python.net}}
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\makeindex
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\begin{document}
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\maketitle
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\begin{abstract}
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\noindent
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This document describes the Python Distribution Utilities
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(``Distutils'') from the end-user's point-of-view, describing how to
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extend the capabilities of a standard Python installation by building
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and installing third-party Python modules and extensions.
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\end{abstract}
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%\begin{abstract}
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%\noindent
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%Abstract this!
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%\end{abstract}
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% The ugly "%begin{latexonly}" pseudo-environment supresses the table
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% of contents for HTML generation.
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%
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%begin{latexonly}
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\tableofcontents
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%end{latexonly}
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\section{Introduction}
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\label{intro}
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Although Python's extensive standard library covers many programming
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needs, there often comes a time when you need to add some new
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functionality to your Python installation in the form of third-party
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modules. This might be necessary to support your own programming, or to
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support an application that you want to use and that happens to be
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written in Python.
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In the past, there has been little support for adding third-party
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modules to an existing Python installation. With the introduction of
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the Python Distribution Utilities (Distutils for short) in Python 2.0,
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this changed.
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This document is aimed primarily at the people who need to install
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third-party Python modules: end-users and system administrators who just
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need to get some Python application running, and existing Python
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programmers who want to add some new goodies to their toolbox. You
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don't need to know Python to read this document; there will be some
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brief forays into using Python's interactive mode to explore your
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installation, but that's it. If you're looking for information on how
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to distribute your own Python modules so that others may use them, see
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the \citetitle[../dist/dist.html]{Distributing Python Modules} manual.
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\subsection{Best case: trivial installation}
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\label{trivial-install}
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In the best case, someone will have prepared a special version of the
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module distribution you want to install that is targeted specifically at
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your platform and is installed just like any other software on your
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platform. For example, the module developer might make an executable
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installer available for Windows users, an RPM package for users of
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RPM-based Linux systems (Red Hat, SuSE, Mandrake, and many others), a
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Debian package for users of Debian-based Linux systems, and so forth.
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In that case, you would download the installer appropriate to your
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platform and do the obvious thing with it: run it if it's an executable
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installer, \code{rpm --install} it if it's an RPM, etc. You don't need
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to run Python or a setup script, you don't need to compile
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anything---you might not even need to read any instructions (although
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it's always a good idea to do so anyways).
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Of course, things will not always be that easy. You might be interested
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in a module distribution that doesn't have an easy-to-use installer for
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your platform. In that case, you'll have to start with the source
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distribution released by the module's author/maintainer. Installing
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from a source distribution is not too hard, as long as the modules are
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packaged in the standard way. The bulk of this document is about
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building and installing modules from standard source distributions.
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\subsection{The new standard: Distutils}
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\label{new-standard}
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If you download a module source distribution, you can tell pretty
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quickly if it was packaged and distributed in the standard way, i.e.
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using the Distutils. First, the distribution's name and version number
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will be featured prominently in the name of the downloaded archive, e.g.
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\file{foo-1.0.tar.gz} or \file{widget-0.9.7.zip}. Next, the archive
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will unpack into a similarly-named directory: \file{foo-1.0} or
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\file{widget-0.9.7}. Additionally, the distribution will contain a
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setup script \file{setup.py}, and a file named \file{README.txt} or possibly
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just \file{README}, which should explain that building and installing the
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module distribution is a simple matter of running
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\begin{verbatim}
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python setup.py install
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\end{verbatim}
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If all these things are true, then you already know how to build and
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install the modules you've just downloaded: Run the command above.
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Unless you need to install things in a non-standard way or customize the
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build process, you don't really need this manual. Or rather, the above
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command is everything you need to get out of this manual.
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\section{Standard Build and Install}
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\label{standard-install}
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As described in section~\ref{new-standard}, building and installing
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a module distribution using the Distutils is usually one simple command:
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\begin{verbatim}
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python setup.py install
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\end{verbatim}
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On \UNIX, you'd run this command from a shell prompt; on Windows, you
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have to open a command prompt window (``DOS box'') and do it there; on
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Mac OS, things are a tad more complicated (see below).
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\subsection{Platform variations}
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\label{platform-variations}
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You should always run the setup command from the distribution root
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directory, i.e. the top-level subdirectory that the module source
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distribution unpacks into. For example, if you've just downloaded a
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module source distribution \file{foo-1.0.tar.gz} onto a
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\UNIX{} system, the normal thing to do is:
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\begin{verbatim}
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gunzip -c foo-1.0.tar.gz | tar xf - # unpacks into directory foo-1.0
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cd foo-1.0
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python setup.py install
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\end{verbatim}
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On Windows, you'd probably download \file{foo-1.0.zip}. If you
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downloaded the archive file to \file{C:\textbackslash{}Temp}, then it
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would unpack into \file{C:\textbackslash{}Temp\textbackslash{}foo-1.0};
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you can use either a archive manipulator with a grapical user interface
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(such as WinZip) or a command-line tool (such as \program{unzip} or
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\program{pkunzip}) to unpack the archive. Then, open a command prompt
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window (``DOS box''), and run:
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\begin{verbatim}
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cd c:\Temp\foo-1.0
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python setup.py install
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\end{verbatim}
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On Mac OS, you have to go through a bit more effort to supply
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command-line arguments to the setup script:
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\begin{itemize}
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\item hit option-double-click on the script's icon (or option-drop it
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onto the Python interpreter's icon)
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\item press the ``Set unix-style command line'' button
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\item set the ``Keep stdio window open on termination'' if you're
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interested in seeing the output of the setup script (which is usually
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voluminous and often useful)
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\item when the command-line dialog pops up, enter ``install'' (you
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can, of course, enter any Distutils command-line as described in this
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document or in \citetitle[../dist/dist.html]{Distributing Python
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Modules}: just leave off the initial \code{python setup.py} and
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you'll be fine)
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\end{itemize}
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\subsection{Splitting the job up}
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\label{splitting-up}
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Running \code{setup.py install} builds and installs all modules in one
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run. If you prefer to work incrementally---especially useful if you
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want to customize the build process, or if things are going wrong---you
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can use the setup script to do one thing at a time. This is
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particularly helpful when the build and install will be done by
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different users---for example, you might want to build a module distribution
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and hand it off to a system administrator for installation (or do it
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yourself, with super-user privileges).
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For example, you can build everything in one step, and then install
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everything in a second step, by invoking the setup script twice:
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\begin{verbatim}
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python setup.py build
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python setup.py install
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\end{verbatim}
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If you do this, you will notice that running the \command{install}
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command first runs the \command{build} command, which---in this
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case---quickly notices that it has nothing to do, since everything in
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the \file{build} directory is up-to-date.
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You may not need this ability to break things down often if all you do
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is install modules downloaded off the 'net, but it's very handy for more
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advanced tasks. If you get into distributing your own Python modules
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and extensions, you'll run lots of individual Distutils commands on
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their own.
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\subsection{How building works}
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\label{how-build-works}
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As implied above, the \command{build} command is responsible for putting
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the files to install into a \emph{build directory}. By default, this is
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\file{build} under the distribution root; if you're excessively
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concerned with speed, or want to keep the source tree pristine, you can
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change the build directory with the \longprogramopt{build-base} option.
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For example:
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\begin{verbatim}
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python setup.py build --build-base=/tmp/pybuild/foo-1.0
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\end{verbatim}
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(Or you could do this permanently with a directive in your system or
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personal Distutils configuration file; see
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section~\ref{config-files}.) Normally, this isn't necessary.
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The default layout for the build tree is as follows:
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\begin{verbatim}
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--- build/ --- lib/
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or
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--- build/ --- lib.<plat>/
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temp.<plat>/
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\end{verbatim}
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where \code{<plat>} expands to a brief description of the current
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OS/hardware platform and Python version. The first form, with just a
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\file{lib} directory, is used for ``pure module distributions''---that
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is, module distributions that include only pure Python modules. If a
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module distribution contains any extensions (modules written in C/\Cpp),
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then the second form, with two \code{<plat>} directories, is used. In
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that case, the \file{temp.\filevar{plat}} directory holds temporary
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files generated by the compile/link process that don't actually get
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installed. In either case, the \file{lib} (or
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\file{lib.\filevar{plat}}) directory contains all Python modules (pure
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Python and extensions) that will be installed.
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In the future, more directories will be added to handle Python scripts,
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documentation, binary executables, and whatever else is needed to handle
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the job of installing Python modules and applications.
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\subsection{How installation works}
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\label{how-install-works}
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After the \command{build} command runs (whether you run it explicitly,
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or the \command{install} command does it for you), the work of the
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\command{install} command is relatively simple: all it has to do is copy
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everything under \file{build/lib} (or \file{build/lib.\filevar{plat}})
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to your chosen installation directory.
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If you don't choose an installation directory---i.e., if you just run
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\code{setup.py install}---then the \command{install} command installs to
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the standard location for third-party Python modules. This location
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varies by platform and by how you built/installed Python itself. On
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\UNIX{} and Mac OS, it also depends on whether the module distribution
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being installed is pure Python or contains extensions (``non-pure''):
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\begin{tableiv}{l|l|l|c}{textrm}%
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{Platform}{Standard installation location}{Default value}{Notes}
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\lineiv{\UNIX{} (pure)}
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{\filenq{\filevar{prefix}/lib/python2.0/site-packages}}
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{\filenq{/usr/local/lib/python2.0/site-packages}}
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{(1)}
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\lineiv{\UNIX{} (non-pure)}
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{\filenq{\filevar{exec-prefix}/lib/python2.0/site-packages}}
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{\filenq{/usr/local/lib/python2.0/site-packages}}
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{(1)}
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\lineiv{Windows}
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{\filenq{\filevar{prefix}}}
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{\filenq{C:\textbackslash{}Python}}
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{(2)}
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\lineiv{Mac OS (pure)}
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{\filenq{\filevar{prefix}:Lib:site-packages}}
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{\filenq{Python:Lib:site-packages}}
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{}
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\lineiv{Mac OS (non-pure)}
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{\filenq{\filevar{prefix}:Lib:site-packages}}
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{\filenq{Python:Lib:site-packages}}
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{}
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\end{tableiv}
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\noindent Notes:
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\begin{description}
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\item[(1)] Most Linux distributions include Python as a standard part of
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the system, so \filevar{prefix} and \filevar{exec-prefix} are usually
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both \file{/usr} on Linux. If you build Python yourself on Linux (or
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any \UNIX-like system), the default \filevar{prefix} and
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\filevar{exec-prefix} are \file{/usr/local}.
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\item[(2)] The default installation directory on Windows was
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\file{C:\textbackslash{}Program Files\textbackslash{}Python} under
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Python 1.6a1, 1.5.2, and earlier.
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\end{description}
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\filevar{prefix} and \filevar{exec-prefix} stand for the directories
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that Python is installed to, and where it finds its libraries at
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run-time. They are always the same under Windows and Mac OS, and very
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often the same under \UNIX. You can find out what your Python
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installation uses for \filevar{prefix} and \filevar{exec-prefix} by
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running Python in interactive mode and typing a few simple commands.
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Under \UNIX, just type \code{python} at the shell prompt. Under
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Windows, choose \menuselection{Start \sub Programs \sub Python
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2.1 \sub Python (command line)}. Under Mac OS, \XXX{???}.
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Once the interpreter is started, you type Python code at the
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prompt. For example, on my Linux system, I type the three Python
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statements shown below, and get the output as shown, to find out my
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\filevar{prefix} and \filevar{exec-prefix}:
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\begin{verbatim}
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Python 1.5.2 (#1, Apr 18 1999, 16:03:16) [GCC pgcc-2.91.60 19981201 (egcs-1.1.1 on linux2
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Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam
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>>> import sys
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>>> sys.prefix
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'/usr'
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>>> sys.exec_prefix
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'/usr'
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\end{verbatim}
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If you don't want to install modules to the standard location, or if you
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don't have permission to write there, then you need to read about
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alternate installations in section~\ref{alt-install}. If you want to
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customize your installation directories more heavily, see
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section~\ref{custom-install} on custom installations.
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% This rather nasty macro is used to generate the tables that describe
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% each installation scheme. It's nasty because it takes two arguments
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% for each "slot" in an installation scheme, there will soon be more
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% than five of these slots, and TeX has a limit of 10 arguments to a
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% macro. Uh-oh.
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\newcommand{\installscheme}[8]
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{\begin{tableiii}{lll}{textrm}
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{Type of file}
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{Installation Directory}
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{Override option}
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\lineiii{pure module distribution}
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{\filevar{#1}\filenq{#2}}
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{\longprogramopt{install-purelib}}
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\lineiii{non-pure module distribution}
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{\filevar{#3}\filenq{#4}}
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{\longprogramopt{install-platlib}}
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\lineiii{scripts}
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{\filevar{#5}\filenq{#6}}
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{\longprogramopt{install-scripts}}
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\lineiii{data}
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{\filevar{#7}\filenq{#8}}
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{\longprogramopt{install-data}}
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\end{tableiii}}
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\section{Alternate Installation}
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\label{alt-install}
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Often, it is necessary or desirable to install modules to a location
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other than the standard location for third-party Python modules. For
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example, on a \UNIX{} system you might not have permission to write to the
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standard third-party module directory. Or you might wish to try out a
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module before making it a standard part of your local Python
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installation. This is especially true when upgrading a distribution
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already present: you want to make sure your existing base of scripts
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still works with the new version before actually upgrading.
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The Distutils \command{install} command is designed to make installing
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module distributions to an alternate location simple and painless. The
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basic idea is that you supply a base directory for the installation, and
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the \command{install} command picks a set of directories (called an
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\emph{installation scheme}) under this base directory in which to
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install files. The details differ across platforms, so read whichever
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of the following sections applies to you.
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\subsection{Alternate installation: \UNIX{} (the home scheme)}
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\label{alt-install-prefix}
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Under \UNIX, there are two ways to perform an alternate installation.
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The ``prefix scheme'' is similar to how alternate installation works
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under Windows and Mac OS, but is not necessarily the most useful way to
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maintain a personal Python library. Hence, we document the more
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convenient and commonly useful ``home scheme'' first.
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The idea behind the ``home scheme'' is that you build and maintain a
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personal stash of Python modules, probably under your home directory.
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Installing a new module distribution is as simple as
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\begin{verbatim}
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python setup.py install --home=<dir>
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\end{verbatim}
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where you can supply any directory you like for the \longprogramopt{home}
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option. Lazy typists can just type a tilde (\code{\textasciitilde}); the
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\command{install} command will expand this to your home directory:
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\begin{verbatim}
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python setup.py install --home=~
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\end{verbatim}
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The \longprogramopt{home} option defines the installation base
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directory. Files are installed to the following directories under the
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installation base as follows:
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\installscheme{home}{/lib/python}
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{home}{/lib/python}
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{home}{/bin}
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{home}{/share}
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|
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\subsection{Alternate installation: \UNIX{} (the prefix scheme)}
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\label{alt-install-home}
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The ``prefix scheme'' is useful when you wish to use one Python
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installation to perform the build/install (i.e., to run the setup
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script), but install modules into the third-party module directory of a
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different Python installation (or something that looks like a different
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Python installation). If this sounds a trifle unusual, it is---that's
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why the ``home scheme'' comes first. However, there are at least two
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known cases where the prefix scheme will be useful.
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First, consider that many Linux distributions put Python in \file{/usr},
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rather than the more traditional \file{/usr/local}. This is entirely
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appropriate, since in those cases Python is part of ``the system''
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rather than a local add-on. However, if you are installing Python
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modules from source, you probably want them to go in
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\file{/usr/local/lib/python2.\filevar{X}} rather than
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\file{/usr/lib/python2.\filevar{X}}. This can be done with
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\begin{verbatim}
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/usr/bin/python setup.py install --prefix=/usr/local
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\end{verbatim}
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Another possibility is a network filesystem where the name used to write
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to a remote directory is different from the name used to read it: for
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example, the Python interpreter accessed as \file{/usr/local/bin/python}
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might search for modules in \file{/usr/local/lib/python2.\filevar{X}},
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but those modules would have to be installed to, say,
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\file{/mnt/\filevar{@server}/export/lib/python2.\filevar{X}}. This
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could be done with
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|
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\begin{verbatim}
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/usr/local/bin/python setup.py install --prefix=/mnt/@server/export
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\end{verbatim}
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In either case, the \longprogramopt{prefix} option defines the
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installation base, and the \longprogramopt{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 \longprogramopt{exec-prefix} is not supplied, it defaults to
|
|
\longprogramopt{prefix}. Files are installed as follows:
|
|
|
|
\installscheme{prefix}{/lib/python2.\filevar{X}/site-packages}
|
|
{exec-prefix}{/lib/python2.\filevar{X}/site-packages}
|
|
{prefix}{/bin}
|
|
{prefix}{/share}
|
|
|
|
There is no requirement that \longprogramopt{prefix} or
|
|
\longprogramopt{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
|
|
\longprogramopt{prefix} and \longprogramopt{exec-prefix} supplied by
|
|
Python itself as \code{sys.prefix} and \code{sys.exec\_prefix}. Thus,
|
|
you might think you'll never use the prefix scheme, but every time you
|
|
run \code{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 (\file{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 \longprogramopt{prefix} and \longprogramopt{exec-prefix} don't even
|
|
point to an alternate Python installation, this is immaterial.)
|
|
|
|
|
|
\subsection{Alternate installation: Windows}
|
|
\label{alt-install-windows}
|
|
|
|
Since Windows has no conception of a user's home directory, and since
|
|
the standard Python installation under Windows is simpler than that
|
|
under \UNIX, there's no point in having separate \longprogramopt{prefix}
|
|
and \longprogramopt{home} options. Just use the \longprogramopt{prefix}
|
|
option to specify a base directory, e.g.
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --prefix="\Temp\Python"
|
|
\end{verbatim}
|
|
|
|
to install modules to the
|
|
\file{\textbackslash{}Temp\textbackslash{}Python} directory on the
|
|
current drive.
|
|
|
|
The installation base is defined by the \longprogramopt{prefix} option;
|
|
the \longprogramopt{exec-prefix} option is not supported under Windows.
|
|
Files are installed as follows:
|
|
\installscheme{prefix}{}
|
|
{prefix}{}
|
|
{prefix}{\textbackslash{}Scripts}
|
|
{prefix}{\textbackslash{}Data}
|
|
|
|
|
|
\subsection{Alternate installation: Mac OS 9}
|
|
\label{alt-install-macos}
|
|
|
|
% XXX Mac OS X?
|
|
|
|
Like Windows, Mac OS has no notion of home directories (or even of
|
|
users), and a fairly simple standard Python installation. Thus, only a
|
|
\longprogramopt{prefix} option is needed. It defines the installation
|
|
base, and files are installed under it as follows:
|
|
|
|
\installscheme{prefix}{:Lib:site-packages}
|
|
{prefix}{:Lib:site-packages}
|
|
{prefix}{:Scripts}
|
|
{prefix}{:Data}
|
|
|
|
See section~\ref{platform-variations} for information on supplying
|
|
command-line arguments to the setup script with MacPython.
|
|
|
|
|
|
\section{Custom Installation}
|
|
\label{custom-install}
|
|
|
|
Sometimes, the alternate installation schemes described in
|
|
section~\ref{alt-install} 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 \emph{custom
|
|
installation scheme}.
|
|
|
|
You probably noticed the column of ``override options'' in the tables
|
|
describing the alternate installation schemes above. Those options are
|
|
how you define a custom installation scheme. 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
|
|
\longprogramopt{prefix} and \longprogramopt{exec-prefix} options.)
|
|
|
|
For example, say you're installing a module distribution to your home
|
|
directory under \UNIX---but you want scripts to go in
|
|
\file{\textasciitilde/scripts} rather than \file{\textasciitilde/bin}.
|
|
As you might expect, you can override this directory with the
|
|
\longprogramopt{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):
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --home=~ --install-scripts=scripts
|
|
\end{verbatim}
|
|
|
|
Another \UNIX{} example: suppose your Python installation was built and
|
|
installed with a prefix of \file{/usr/local/python}, so under a standard
|
|
installation scripts will wind up in \file{/usr/local/python/bin}. If
|
|
you want them in \file{/usr/local/bin} instead, you would supply this
|
|
absolute directory for the \longprogramopt{install-scripts} option:
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --install-scripts=/usr/local/bin
|
|
\end{verbatim}
|
|
|
|
(This performs an installation using the ``prefix scheme,'' where the
|
|
prefix is whatever your Python interpreter was installed with---
|
|
\file{/usr/local/python} in this case.)
|
|
|
|
If you maintain Python on Windows, you might want third-party modules to
|
|
live in a subdirectory of \filevar{prefix}, rather than right in
|
|
\filevar{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, pure modules and non-pure modules
|
|
(i.e., modules from a non-pure distribution). For example:
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --install-purelib=Site --install-platlib=Site
|
|
\end{verbatim}
|
|
|
|
The specified installation directories are relative to \filevar{prefix}.
|
|
Of course, you also have to ensure that these directories are in
|
|
Python's module search path, such as by putting a \file{.pth} file in
|
|
\filevar{prefix}.
|
|
|
|
% \XXX should have a section describing \file{.pth} files and
|
|
% cross-ref it here
|
|
|
|
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 \file{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:
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --home=~ \
|
|
--install-purelib=python/lib \
|
|
--install-platlib=python/lib.$PLAT \
|
|
--install-scripts=python/scripts
|
|
--install-data=python/data
|
|
\end{verbatim}
|
|
% $ % -- bow to font-lock
|
|
|
|
or, equivalently,
|
|
|
|
\begin{verbatim}
|
|
python setup.py install --home=~/python \
|
|
--install-purelib=lib \
|
|
--install-platlib='lib.$PLAT' \
|
|
--install-scripts=scripts
|
|
--install-data=data
|
|
\end{verbatim}
|
|
% $ % -- bow to font-lock
|
|
|
|
\code{\$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~\ref{config-files}):
|
|
|
|
\begin{verbatim}
|
|
[install]
|
|
install-base=$HOME
|
|
install-purelib=python/lib
|
|
install-platlib=python/lib.$PLAT
|
|
install-scripts=python/scripts
|
|
install-data=python/data
|
|
\end{verbatim}
|
|
|
|
or, equivalently,
|
|
|
|
\begin{verbatim}
|
|
[install]
|
|
install-base=$HOME/python
|
|
install-purelib=lib
|
|
install-platlib=lib.$PLAT
|
|
install-scripts=scripts
|
|
install-data=data
|
|
\end{verbatim}
|
|
|
|
Note that these two are \emph{not} equivalent if you supply a different
|
|
installation base directory when you run the setup script. For example,
|
|
|
|
\begin{verbatim}
|
|
python setup.py --install-base=/tmp
|
|
\end{verbatim}
|
|
|
|
would install pure modules to \filevar{/tmp/python/lib} in the first
|
|
case, and to \filevar{/tmp/lib} in the second case. (For the second
|
|
case, you probably want to supply an installation base of
|
|
\file{/tmp/python}.)
|
|
|
|
You probably noticed the use of \code{\$HOME} and \code{\$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 \code{\$PLAT}. (And of course, on systems that don't have
|
|
environment variables, such as Mac OS (\XXX{true?}), the configuration
|
|
variables supplied by the Distutils are the only ones you can use.)
|
|
See section~\ref{config-files} for details.
|
|
|
|
% XXX need some Windows and Mac OS examples---when would custom
|
|
% installation schemes be needed on those platforms?
|
|
|
|
|
|
\section{Distutils Configuration Files}
|
|
\label{config-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.
|
|
|
|
|
|
\subsection{Location and names of config files}
|
|
\label{config-filenames}
|
|
|
|
The names and locations of the configuration files vary slightly across
|
|
platforms. On \UNIX, the three configuration files (in the order they
|
|
are processed) are:
|
|
\begin{tableiii}{l|l|c}{textrm}
|
|
{Type of file}{Location and filename}{Notes}
|
|
\lineiii{system}{\filenq{\filevar{prefix}/lib/python\filevar{ver}/distutils/distutils.cfg}}{(1)}
|
|
\lineiii{personal}{\filenq{\$HOME/.pydistutils.cfg}}{(2)}
|
|
\lineiii{local}{\filenq{setup.cfg}}{(3)}
|
|
\end{tableiii}
|
|
|
|
On Windows, the configuration files are:
|
|
\begin{tableiii}{l|l|c}{textrm}
|
|
{Type of file}{Location and filename}{Notes}
|
|
\lineiii{system}{\filenq{\filevar{prefix}\textbackslash{}Lib\textbackslash{}distutils\textbackslash{}distutils.cfg}}{(4)}
|
|
\lineiii{personal}{\filenq{\%HOME\%\textbackslash{}pydistutils.cfg}}{(5)}
|
|
\lineiii{local}{\filenq{setup.cfg}}{(3)}
|
|
\end{tableiii}
|
|
|
|
And on Mac OS, they are:
|
|
\begin{tableiii}{l|l|c}{textrm}
|
|
{Type of file}{Location and filename}{Notes}
|
|
\lineiii{system}{\filenq{\filevar{prefix}:Lib:distutils:distutils.cfg}}{(6)}
|
|
\lineiii{personal}{N/A}{}
|
|
\lineiii{local}{\filenq{setup.cfg}}{(3)}
|
|
\end{tableiii}
|
|
|
|
\noindent Notes:
|
|
\begin{description}
|
|
\item[(1)] 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
|
|
\file{\filevar{prefix}/lib/site-packages/python1.5/distutils},
|
|
so the system configuration file should be put there under Python
|
|
1.5.2.
|
|
\item[(2)] On \UNIX, if the \envvar{HOME} environment variable is not
|
|
defined, the user's home directory will be determined with the
|
|
\function{getpwuid()} function from the standard
|
|
\ulink{\module{pwd}}{../lib/module-pwd.html} module.
|
|
\item[(3)] I.e., in the current directory (usually the location of the
|
|
setup script).
|
|
\item[(4)] (See also note (1).) Under Python 1.6 and later, Python's
|
|
default ``installation prefix'' is \file{C:\textbackslash{}Python}, so
|
|
the system configuration file is normally
|
|
\file{C:\textbackslash{}Python\textbackslash{}Lib\textbackslash{}distutils\textbackslash{}distutils.cfg}.
|
|
Under Python 1.5.2, the default prefix was
|
|
\file{C:\textbackslash{}Program~Files\textbackslash{}Python}, and the
|
|
Distutils were not part of the standard library---so the system
|
|
configuration file would be
|
|
\file{C:\textbackslash{}Program~Files\textbackslash{}Python\textbackslash{}distutils\textbackslash{}distutils.cfg}
|
|
in a standard Python 1.5.2 installation under Windows.
|
|
\item[(5)] On Windows, if the \envvar{HOME} environment variable is not
|
|
defined, no personal configuration file will be found or used. (In
|
|
other words, the Distutils make no attempt to guess your home
|
|
directory on Windows.)
|
|
\item[(6)] (See also notes (1) and (4).) The default installation
|
|
prefix is just \file{Python:}, so under Python 1.6 and later this is
|
|
normally\file{Python:Lib:distutils:distutils.cfg}.
|
|
\end{description}
|
|
|
|
|
|
\subsection{Syntax of config files}
|
|
\label{config-syntax}
|
|
|
|
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 \code{global} section for global options that affect
|
|
every command. Each section consists of one option per line, specified
|
|
as \code{option=value}.
|
|
|
|
For example, the following is a complete config file that just forces
|
|
all commands to run quietly by default:
|
|
|
|
\begin{verbatim}
|
|
[global]
|
|
verbose=0
|
|
\end{verbatim}
|
|
|
|
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 \file{setup.cfg} for a particular
|
|
module distribution, it affects only that distribution.
|
|
|
|
You could override the default ``build base'' directory and make the
|
|
\command{build*} commands always forcibly rebuild all files with the
|
|
following:
|
|
|
|
\begin{verbatim}
|
|
[build]
|
|
build-base=blib
|
|
force=1
|
|
\end{verbatim}
|
|
|
|
which corresponds to the command-line arguments
|
|
|
|
\begin{verbatim}
|
|
python setup.py build --build-base=blib --force
|
|
\end{verbatim}
|
|
|
|
except that including the \command{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
|
|
\longprogramopt{help} option, e.g.:
|
|
|
|
\begin{verbatim}
|
|
python setup.py build --help
|
|
\end{verbatim}
|
|
|
|
and you can find out the complete list of global options by using
|
|
\longprogramopt{help} without a command:
|
|
|
|
\begin{verbatim}
|
|
python setup.py --help
|
|
\end{verbatim}
|
|
|
|
See also the ``Reference'' section of the ``Distributing Python
|
|
Modules'' manual.
|
|
|
|
\section{Building Extensions: Tips and Tricks}
|
|
\label{building-ext}
|
|
|
|
Whenever possible, the Distutils try to use the configuration
|
|
information made available by the Python interpreter used to run the
|
|
\file{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.
|
|
|
|
\subsection{Tweaking compiler/linker flags}
|
|
\label{tweak-flags}
|
|
|
|
Compiling a Python extension written in C or \Cpp 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
|
|
\file{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 \file{Setup} file, if present, is parsed in order to get a list of
|
|
extensions to build. Each line in a \file{Setup} describes a single
|
|
module. Lines have the following structure:
|
|
|
|
\begin{alltt}
|
|
\var{module} ... [\var{sourcefile} ...] [\var{cpparg} ...] [\var{library} ...]
|
|
\end{alltt}
|
|
|
|
Let's examine each of the fields in turn.
|
|
|
|
\begin{itemize}
|
|
|
|
\item \var{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.
|
|
|
|
\item \var{sourcefile} is anything that's likely to be a source code
|
|
file, at least judging by the filename. Filenames ending in
|
|
\file{.c} are assumed to be written in C, filenames ending in
|
|
\file{.C}, \file{.cc}, and \file{.c++} are assumed to be
|
|
\Cpp, and filenames ending in \file{.m} or \file{.mm} are
|
|
assumed to be in Objective C.
|
|
|
|
\item \var{cpparg} is an argument for the C preprocessor,
|
|
and is anything starting with \programopt{-I}, \programopt{-D},
|
|
\programopt{-U} or \programopt{-C}.
|
|
|
|
\item \var{library} is anything ending in \file{.a} or beginning with
|
|
\programopt{-l} or \programopt{-L}.
|
|
\end{itemize}
|
|
|
|
If a particular platform requires a special library on your platform,
|
|
you can add it by editing the \file{Setup} file and running
|
|
\code{python setup.py build}. For example, if the module defined by the line
|
|
|
|
\begin{verbatim}
|
|
foo foomodule.c
|
|
\end{verbatim}
|
|
|
|
must be linked with the math library \file{libm.a} on your platform,
|
|
simply add \programopt{-lm} to the line:
|
|
|
|
\begin{verbatim}
|
|
foo foomodule.c -lm
|
|
\end{verbatim}
|
|
|
|
Arbitrary switches intended for the compiler or the linker can be
|
|
supplied with the \programopt{-Xcompiler} \var{arg} and
|
|
\programopt{-Xlinker} \var{arg} options:
|
|
|
|
\begin{verbatim}
|
|
foo foomodule.c -Xcompiler -o32 -Xlinker -shared -lm
|
|
\end{verbatim}
|
|
|
|
The next option after \programopt{-Xcompiler} and
|
|
\programopt{-Xlinker} will be appended to the proper command line, so
|
|
in the above example the compiler will be passed the \programopt{-o32}
|
|
option, and the linker will be passed \programopt{-shared}. If a
|
|
compiler option requires an argument, you'll have to supply multiple
|
|
\programopt{-Xcompiler} options; for example, to pass \code{-x c++} the
|
|
\file{Setup} file would have to contain
|
|
\code{-Xcompiler -x -Xcompiler c++}.
|
|
|
|
Compiler flags can also be supplied through setting the
|
|
\envvar{CFLAGS} environment variable. If set, the contents of
|
|
\envvar{CFLAGS} will be added to the compiler flags specified in the
|
|
\file{Setup} file.
|
|
|
|
|
|
\subsection{Using non-Microsoft compilers on Windows \label{non-ms-compilers}}
|
|
\sectionauthor{Rene Liebscher}{R.Liebscher@gmx.de}
|
|
|
|
\subsubsection{Borland C++}
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This subsection describes the necessary steps to use Distutils with the
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Borland \Cpp{} compiler version 5.5.
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%Should we mention that users have to create cfg-files for the compiler?
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%see also http://community.borland.com/article/0,1410,21205,00.html
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First you have to know that Borland's object file format (OMF) is
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different from the format used by the Python version you can download
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from the Python or ActiveState Web site. (Python is built with
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Microsoft Visual \Cpp, which uses COFF as the object file format.)
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For this reason you have to convert Python's library
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\file{python20.lib} into the Borland format. You can do this as
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follows:
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\begin{verbatim}
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coff2omf python20.lib python20_bcpp.lib
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\end{verbatim}
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The \file{coff2omf} program comes with the Borland compiler. The file
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\file{python20.lib} is in the \file{Libs} directory of your Python
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installation. If your extension uses other libraries (zlib,...) you
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have to convert them too.
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The converted files have to reside in the same directories as the
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normal libraries.
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How does Distutils manage to use these libraries with their changed
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names? If the extension needs a library (eg. \file{foo}) Distutils
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checks first if it finds a library with suffix \file{_bcpp}
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(eg. \file{foo_bcpp.lib}) and then uses this library. In the case it
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doesn't find such a special library it uses the default name
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(\file{foo.lib}.)\footnote{This also means you could replace all
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existing COFF-libraries with OMF-libraries of the same name.}
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To let Distutils compile your extension with Borland \Cpp{} you now have
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to type:
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\begin{verbatim}
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python setup.py build --compiler=bcpp
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\end{verbatim}
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If you want to use the Borland \Cpp{} compiler as the default, you
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could specify this in your personal or system-wide configuration file
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for Distutils (see section~\ref{config-files}.)
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\begin{seealso}
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\seetitle[http://www.borland.com/bcppbuilder/freecompiler/]
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{\Cpp{}Builder Compiler}
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{Information about the free \Cpp{} compiler from Borland,
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including links to the download pages.}
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\seetitle[http://www.cyberus.ca/\~{}g_will/pyExtenDL.shtml]
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{Creating Python Extensions Using Borland's Free Compiler}
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{Document describing how to use Borland's free command-line C++
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compiler to build Python.}
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\end{seealso}
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\subsubsection{GNU C / Cygwin / MinGW}
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This section describes the necessary steps to use Distutils with the
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GNU C/\Cpp{} compilers in their Cygwin and MinGW
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distributions.\footnote{Check
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\url{http://sources.redhat.com/cygwin/} and
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\url{http://www.mingw.org/} for more information}
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For a Python interpreter that was built with Cygwin, everything should
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work without any of these following steps.
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These compilers require some special libraries.
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This task is more complex than for Borland's \Cpp, because there is no
|
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program to convert the library.
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|
% I don't understand what the next line means. --amk
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% (inclusive the references on data structures.)
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First you have to create a list of symbols which the Python DLL exports.
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(You can find a good program for this task at
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\url{http://starship.python.net/crew/kernr/mingw32/Notes.html}, see at
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PExports 0.42h there.)
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|
\begin{verbatim}
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pexports python20.dll >python20.def
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\end{verbatim}
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Then you can create from these information an import library for gcc.
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|
\begin{verbatim}
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dlltool --dllname python20.dll --def python20.def --output-lib libpython20.a
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\end{verbatim}
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The resulting library has to be placed in the same directory as
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|
\file{python20.lib}. (Should be the \file{libs} directory under your
|
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Python installation directory.)
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|
|
|
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.
|
|
|
|
To let Distutils compile your extension with Cygwin you now have to type
|
|
|
|
\begin{verbatim}
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|
python setup.py build --compiler=cygwin
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\end{verbatim}
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and for Cygwin in no-cygwin mode\footnote{Then you have no
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|
\POSIX{} emulation available, but you also don't need
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\file{cygwin1.dll}.} or for MinGW type:
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|
|
\begin{verbatim}
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|
python setup.py build --compiler=mingw32
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|
\end{verbatim}
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If you want to use any of these options/compilers as default, you should
|
|
consider to write it in your personal or system-wide configuration file
|
|
for Distutils (see section~\ref{config-files}.)
|
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|
|
\begin{seealso}
|
|
\seetitle[http://www.zope.org/Members/als/tips/win32_mingw_modules]
|
|
{Building Python modules on MS Windows platform with MinGW}
|
|
{Information about building the required libraries for the MinGW
|
|
environment.}
|
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|
\seeurl{http://pyopengl.sourceforge.net/ftp/win32-stuff/}
|
|
{Converted import libraries in Cygwin/MinGW and Borland format,
|
|
and a script to create the registry entries needed for Distutils
|
|
to locate the built Python.}
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|
\end{seealso}
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\end{document}
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