Building Mac Python from source
This document explains how to build MacPython from source. This is
necessary if you want to write extension modules for 68K Python, and
is also necessary if you want to make modifications to the Python core.
Building Python is not something to be undertaken lightly,
you need a reasonable working
knowledge of the CodeWarrior development environment, a good net
connection and probably quite some time too.
The information density in this file is high, so you should probably
print it and read it at your leasure. Most things are explained only
once (and probably in the wrong place:-).
I am very interested in feedback on this document, send your
comments to the Mac Python Special
Interest Group.
What you need.
The following things you definitely need:
- You need a MacPython source distribution, of course. You can
obtain one from ftp://ftp.cwi.nl/pub/jack/python/mac
or from the companion webpage at
http://www.cwi.nl/~jack/macpython.html (which has up-to-date links to the other
packages needed too)
and possibly also from the standard python.org ftp
site. Everything you need is also included in the standard Python
source distribution, but the organization is different. Look in
directory
Mac/mwerks/projects
for the project files and
related stuff.
If you are a PSA member, an alternative
is to check the sources straight out of the CVS repository,
see below. Most of the packages mentioned here are also available through CVS.
- You need MetroWerks CodeWarrior. The current distribution has
been built with CodeWarrior Pro 4. Ordering information is
available on the MetroWerks
homepage. Building Python with MPW or Think/Symantec C is
probably impossible without major surgery.
- You need GUSI, the Grand Unified Socket Interface, by Matthias
Neeracher. The original CWGUSI is
obtainable from
ftp://sunsite.cnlab-switch.ch/software/platform/macos/src.
At the moment Python is built with a slightly modified version of GUSI,
these modifications are available in folder
Python:Mac:GUSI-mods
.
The MacPython project files are configured to
include a plethora of optional modules, and these modules need a
number of extra packages. To use the project files as-is you have to
download these packages too. PPC and CFM68K Python have all such modules as
dynamically loaded modules, so if you don't need a certain package it
suffices to just refrain from builing the extension module. For static 68K
Python things are a bit more complicated: you have to edit the
interpreter project file to remove the reference to the module (and
the libraries it uses), and edit the Mac:mwerks:mwerks_nonshared_config.h
file to remove the USE_...
line. Here are the locations for the various things
you need:
- Tcl and Tk can be obtained from ftp://ftp.smli.com/pub/tcl/mac/.
The current distributions, Tcl 8.0p2 and Tk 8.0p2 need a bit of work,
see the section on building Tcl/Tk Python
below. Get the "full source" distribution, which includes MoreFiles.
- Waste, a TextEdit replacement written by Marco Piovanelli, <piovanel@kagi.com>. Python
was built using version 1.3, which you can obtain from <http://www.boingo.com/waste>
and various other places.
- Gdbm library for the Mac. Available from Jack's Mac software page at
http://www.cwi.nl/~jack/macsoftware.html and
ftp://ftp.cwi.nl/pub/jack/mac.
- JPEG library by the Independent JPEG Group. A version including
Mac projects can be found at Jack's page mentioned above.
The most recent JPEG library can always be obtained from ftp://ftp.uu.net/graphics/jpeg/.
- The netpbm/pbmplus, libtiff, zlib and png libraries. The netpbm distribution
(which includes libtiff) is generally available on Internet ftp
servers. For Python pbmplus, an older incarnation of netpbm, is
functionally identical to netpbm, since Python only uses the library
and not the complete applications. A distribution with correct
projects and library source only is available from, you guessed it, Jack's Mac software
page mentioned above.
Setting Up
Now that you have collected everything you should start with building
the various parts. If you don't want to fix
access paths try to set things up as follows:
Top-level-folder:
CWGUSI
imglibs
jpeg
netpbm
libtiff
zlib
png
gdbm
Python
Tcl/Tk Folder
tcl8.0
tk8.0
MoreFiles 1.4.3
Waste 1.3 distribution (if you want waste)
If your setup of the libraries is exactly the same as mine (which is
not very likely, unless you happen to work from the same CVS
repository) you can use the project buildlibs.prj
in the
:Mac:build.mac
folder to build all needed libraries in one
fell swoop, otherwise you will have to build the libraries one by
one.
First build GUSI. If you didn't get the python-specific GUSI you have to
move the files from the "CWGUSI-mods" to the right
place in the CWGUSI distribution folder. Build the MSL version for your
platform (ppc, 68k, cfm68k).
Next, in
MoreFiles
, libjpeg
, pbmplus
,
zlib
, libpng
, gdbm
,
andlibtiff
you build all projects. Usually the projects are in "mac"
subfolders, sometimes they are in the main folder. Tcl/tk is a special
case, see below. Of course, if you are only interested in one of
static 68K, CFM68K or PPC you can skip building the other libraries.
You need to make some minor changes to the Tcl/Tk 8.0
distribution. You should make the CW Pro projects (in the mac subfolders).
- There are no cfm68k targets. You make these by copying the 68k targets,
setting the "68k target" to "cfm68k library" and changing the output filename,
and changing the prefix
header filename in the C/C++ settings panel to "MW_???HeaderCFM68K".
- I had to add Search.c (from MoreFiles) to the tcl library projects. I don't
understand why this is, but it seemed to cure the problems I had.
- Note that if you use a different release of Tcl and Tk than the ones
I have used you may have to adapt the Python
tkresources.rsrc
file.
This is easiest done by building SimpleTk
and copying the TEXT, ICON
and CRSR resources from it to tkresources.rsrc
. This allows
the _tkinter
module to work without an installed Tk/Tcl on your
machine.
Build first the Tcl library, then
SimpleTcl (test it by typing ls -l
in the window you get)
then the Tk library, then SimpleTk (which can again be tested with
ls -l
). If this all worked you are all set to try
building Python.
Building Waste
You do not need to build the Waste libraries, as Python includes the
source modules themselves.
The organization of the Python source tree
Time for a short break, while we have a look at the organization of
the Python source tree. At the top level, we find the following
folders:
- Demo
- Demo programs that are not Mac-specific. Some of these may not
work, the file
README-Mac
has some details.
- Extensions
- Extensions to the interpreter that are not Mac-specific. Contains
only the
img
extension in this distribution. Extensions
are not always built here, as they are on Unix, but sometimes incorporated in
the core interpreter or built as plugin modules.
- Grammar
- The Python grammar. Included for reference only, you cannot build
the parser on a Mac.
- Include
- Machine-independent header files.
- Modules
- Machine-independent optional modules. Not all of these will work
on the Mac.
- Objects
- Machine-independent code for various objects. Most of these are
not really optional: the interpreter will not function without them.
- Parser
- The Python parser (machine-independent).
- Python
- The core interpreter. Most files are machine-independent, some
are unix-specific and not used on the Mac.
- Tools
- Tools for python developers. Contains
modulator
which builds skeleton C extension modules and bgen
which
generates complete interface modules from information in C header
files. There are some readme files, but more documentation is sorely
needed.
All the mac-specific stuff lives in the Mac
folder:
- Build
- This is where the project files live and where you build the
libraries, shared libraries, executables and plugin modules. All the
resulting binaries, except for intermedeate results, are deposited in
the toplevel folder or the PlugIns folder (for plugin modules).
- Compat
- Unix-compatability routines. Some of these are not used anymore,
since CWGUSI provides a rather complete emulation, but you may need
these if you are trying to build a non-GUSI python.
- Demo
- Mac-specific demo programs, some of them annotated.
- Include
- Mac-specific but compiler-independent include files.
- Lib
- Mac-specific standard modules. The
toolbox
folder
contains modules specifically needed with various MacOS toolbox
interface modules.
- Modules
- Mac-specific builtin modules. Theoretically these are all
optional, but some are rather essential (like
macmodule
). A lot of these modules are generated with
bgen
, in which case the bgen input files are included so
you can attempt to regenerate them or extend them.
- MPW
- MPW-specific files. These have not been used or kept up-to-date
for a long time, so use at your own risk.
- mwerks
- Mwerks-specific sources and headers. Contains glue code for
Pythons shared-library architecture, a replacement for
malloc
and a directory with various projects for building
variations on the Python interpreter. The mwerks_*.h
files here are the option-setting files for the various interpreters
and such, comparable to the unix command-line -D
options
to the compiler. Each project uses the correct option file as its
"prefix file" in the "C/C++ language" settings. Disabling optional
modules (for the 68K interpreter), building non-GUSI interpreters and
various other things are accomplished by modifying these files (and
possibly changing the list of files included in the project window, of
course).
- PlugIns
- This is where the PPC and CFM68K dynamically-loaded plugin modules live.
- Python
- Mac-specific parts of the core interpreter.
- Resources
- Resource files needed to build the interpreter.
- Scripts
- A collection of various mac-specific Python scripts. Some are
essential, some are useful but few are documented, so you will have to
use your imagination to work them out.
- Tools
- A collection of tools, usually bigger than those in the scripts
folder. The important ones here are the IDE and macfreeze. The IDE is built
with the buildIDE.py script, which puts the resulting applet in the toplevel
folder. Macfreeze is usually invoked through the BuildApplication script,
but for more control over the freezing process you can run the main script here.
- Unsupported
- Modules that are not supported any longer but may still work with a little effort.
Building the 68K interpreter
If you have all the optional libraries mentioned above loaded building Python for 68K macs is a
breeze: in the Mac:Build folder you build the libraries with buildlibs.prj
and then the interpreter with PythonStandalone.prj.
If you were previously running another copy of this Python release,
from a binary installer for instance, you should
first remove the Python XXX preferences
file from your
preference folder. Next, run the interpreter, in the toplevel folder. This will
create a correct initial preferences file. You are now all set, and
your tree should be completely compatible with a binary-only
distribution. Read the release notes
(Relnotes-somethingorother
) and
ReadMe
in the Mac
folder.
If something goes wrong you may end up with a garbled preferences file. Removing
it from the system folder and running Python once again will re-create it.
Building the PPC and CFM68K interpreter
First you optionally build the external libraries with buildlibs.prj. Next,
the projects for
interpreter, core library and applet skeleton are all linked together, so
building the fat targets in Python.prj
and
PythonApplet.prj
will result in everything being built. The
resulting applications and fat shared library are deposited in the main
Python folder. Finally, you build all the plugins with the plugins.prj project.
For completeness sake here is a breakdown of the projects:
- PythonCore (with subprojects PythonCorePPC and PythonCoreCFM68K)
- The shared library that contains the bulk of the interpreter and
its resources. It is a good idea to immedeately put an alias to this
shared library in the
Extensions
folder of your system
folder. Do exactly that: put an alias there, copying or
moving the file will cause you grief later if you rebuild the library and
forget to copy it to the extensions folder again. The InstallPython applet
will also do this, along with creating the plugin aliases.
- Python
- The interpreter. This is basically a routine to call out to the
shared library.
- PythonAppletPPC
- The applet skeleton application. Very similar to
PythonPPC
, but it calls to a different entrypoint in the
core library. The mkapplet
script will copy this complete
file, and add a 'PYC '
with the module to generate an
applet.
- Plugin projects
- Usually, each plugin module has a separate project.
After creating the alias to PythonCore
you remove any old
Python XXX Preferences
file from the Preferences
folder
(if you had python installed on your system before) and run the interpreter once
to create the correct preferences file.
Next, you have to build the extension modules.
The PlugIns.ppc
project has all the
other projects as subprojects and builds everything. After all
the dynamically loaded modules are built you have to create a number
of aliases: some modules live together in a single dynamic
library. Run the ConfigurePython.py
script from
Mac:scripts
to create the aliases.
Finally, you must build the standard applets:
EditPythonPrefs
, BuildApplet
, etc. This is
easiest done with the fullbuild
script from
Mac:scripts
.
Actually, the fullbuild
script can be used to build
everything, but you need a fully-functional interpreter before you can
use it (and one that isn't rebuilt in the process: you cannot rebuild
a running program). You could copy the 68K interpreter to a different
place and use that to run fullbuild, or use the standalone PPC python
for this. I tend to keep a standalone interpreter in a safe place for
this use only.
You are all set now, and should read the release notes and
ReadMe
file from the Mac
folder.
Rebuilding .exp
files for PPC and CFM68K
Occasionally it may be necessary to rebuild your PythonCore .exp
file, a file that controls which symbols are exported by your PythonCore
shared library. Rebuild it if you get unexpected undefined symbols when you
are building a plugin module.
Rebuilding the .exp file is done by first removing the file and removing the
reference to it in the project (in the "config" section). Next, build PythonCore.
This will create a new .exp file. Edit this file to remove the references to
the symbols __initialize
, __terminate
, setjmp
,
longjmp
, main
and (for PPC) __ptmf_null
or (for
CFM68K) __start
and dummy_init_routine
.
Next, add the .exp file to the project
again and rebuild PythonCore.
This rather convoluted procedure is needed to ensure that plugin modules don't
accidentally link with those entrypoints from PythonCore, which will not work because
those routines have to be in the same code fragment as they are used from.
Using the CVS source archive
It is possible to access the Python sources through remote CVS if you are
a PSA member. The advantage of this is that you get the very latest sources,
so any bug fixed or new features will be immedeately available. This is also
the disadvantage, of course: as this is the same tree as is used for development it
may sometimes be a little less stable.
The CVS client of choice is Alexandre Parenteau's MacCVS. It can be
obtained through the Cyclic CVS homepage. MacCVS
uses Internet Config to set file types correctly based on the filename extension. In
the maccvs preferences you should also set (in the "binary files" section)
"use mac encoding: applesingle" and (in the "text files" section) "use ISO latin 1
conversion".
The machine-independent Python sources are checked out from the main Python
CVS archive, see the PSA homepage for
details.
Next, within the toplevel Python folder, you check out the mac-specific sources
in a Mac folder. The CVS path to use can be found at the
MacPython homepage. Finally,
you check out the external libraries needed in the parent of the Python folder. The
CVS path for these libraries is also mentioned at the MacPython homepage.
Neither of the pages mentioned above contains the passwords for the CVS sites,
for obvious reasons, but they do contain instructions on how to obtain the passwords.
Odds and ends
Some remarks that I could not fit in elsewhere:
- It may be possible to use the
PythonCore
shared
library to embed Python in another program, if your program can live
with using GUSI for I/O. Use PythonCore in stead of your MSL C library
(or, at the very least, link it before the normal C library). Let me
know whether this works.
- It is possible to build PPC extension modules without building a
complete Python. The binary distribution installer can optionally install
all the needed folders. A template for a dynamic module can be found in
xx.prj
.
- The Python shared library architecture is a variant of the architecture
described as "application with shared libraries and dropins" in the MetroWerks
"Targeting MacOS" documentation. The Python Application and applet-template use
the
MSL AppRuntime.Lib
runtime library (with properly set CFM
initialization and termination routines). PythonCore uses MSL Runtime.Lib
,
which is really intended for standalone programs but which we fool into working by
providing a dummy main program.
It is linked statically into PythonCore (and exported to the applications and plugins)
so we do not have to distribute yet another shared library. Plugin modules use
MSL ShlibRuntime.Lib
(not the dropin runtime: modules are never unloaded)
and obtain the rest from PythonCore. PythonCore uses a
non-standard initialization entry point, __initialize_with_resources
, to
be able to obtain resources from the library file later on. Plugins can do the same
(_tkinter does) or use the standard __initialize
entry point.