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Kirill Smelkov
cpython
Commits
1a29ed74
Commit
1a29ed74
authored
Oct 31, 2001
by
Jack Jansen
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Added Donovan Preston and reformatted to 80-char lines.
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1a29ed74
...
...
@@ -71,11 +71,12 @@ turned into an applet) the given resource file will be opened. This method will
eventually also contain the magic needed to open the resource file on
OSX MachO Python.
Another feature to help with the OSX transition is that if you open a textfile
for reading MacPython will now accept either unix linefeeds (LF, '
\
n
') or
Macintosh linefeeds (CR, '
\
r
') and present both of them as '
\
n
'. This is done on
a low level, so it works for files opened by scripts as well as for your scripts
and modules itself. This can be turned off with a preference/startup option.
Another feature to help with the OSX transition is that if you open a
textfile for reading MacPython will now accept either unix linefeeds
(LF, '\n') or Macintosh linefeeds (CR, '\r') and present both of them
as '\n'. This is done on a low level, so it works for files opened by
scripts as well as for your scripts and modules itself. This can be
turned off with a preference/startup option.
But:
- this works only for input, and there's no way to find out what the original
...
...
@@ -86,37 +87,40 @@ What to install
---------------
The optional parts in this distribution are
-
TK
+
PIL
:
Tkinter
and
support
modules
,
plus
Imaging
,
the
Python
image
manipulation
package
(
allows
you
to
read
,
write
and
display
images
and
do
lots
of
operations
on
them
).
- TK+PIL: Tkinter and support modules, plus Imaging, the Python image
manipulation package (allows you to read, write and display images and
do lots of operations on them).
For Carbon MacPython you only get PIL: there is no Tcl/Tk for Carbon yet.
This
is
the
reason
Classic
MacPython
is
also
installed
on
MacOSX
:
it
allows
you
to
run
Tkinter
applications
,
albeit
in
the
Classic
box
.
This is the reason Classic MacPython is also installed on MacOSX: it
allows you
to run Tkinter applications, albeit in the Classic box.
- img: another imaging package. Has more file format support and is faster
than imaging, but has only limited operations on images. There is a bridge
between the packages.
- Numeric: the LLNL Numeric Python extension. All sorts of nifty operations
on
matrices
and
such
.
This
is
the
most
recent
version
from
the
sourceforge
archive
.
Numeric
has
moved
from
Extensions
to
:
Lib
:
site
-
python
,
by
the
way
,
see
the
release
notes
.
-
Developers
kit
:
all
header
files
and
some
tools
and
sample
projects
to
get
you
started
on
writing
Python
extensions
if
you
have
CodeWarrior
.
on matrices and such. This is the most recent version from the
sourceforge archive.
Numeric has moved from Extensions to :Lib:site-python, by the way,
see the release notes.
- Developers kit: all header files and some tools and sample projects
to get you started on writing Python extensions if you have CodeWarrior.
All these except the DevKit are installed with Easy Install.
After the installer finishes it automatically launches the appropriate
ConfigurePython
applet
,
to
finish
configuration
of
your
Python
.
If
you
run
MacOS9
or
later
(
or
8
with
CarbonLib
installed
)
you
can
switch
back
and
forth
between
the
classic
and
Carbon
versions
of
Python
by
running
either
ConfigurePythonClassic
or
ConfigurePythonCarbon
.
ConfigurePython applet, to finish configuration of your Python. If you
run MacOS9 or later (or 8 with CarbonLib installed) you can switch
back and forth between the classic and Carbon versions of Python by
running either ConfigurePythonClassic or ConfigurePythonCarbon.
Moving
your
Python
installation
after
installing
is
generally
not
a
good
idea
.
If
you
have
to
do
this
anyway
you
should
remove
your
preference
file
,
run
ConfigurePython
and
remove
all
.
pyc
files
.
(
there
's a script zappyc.py that does
the latter).
Moving your Python installation after installing is generally not a
good idea. If you have to do this anyway you should remove your
preference file, run ConfigurePython and remove all .pyc
files. (there's a script zappyc.py that does
the latter).
If you don't have enough memory: the sizes choosen are somewhat
arbitrary
,
and
they
are
as
high
as
they
are
so
that
test
.
autotest
runs
with
fewer
problems
.
An
average
Python
program
can
make
do
with
much
less
memory
.
Try
lowering
the
application
sizes
in
the
finder
"get info"
window
,
and
seeing
whether
the
resulting
python
is
still
usable
.
arbitrary, and they are as high as they are so that test.autotest runs
with fewer problems. An average Python program can make do with much
less memory. Try lowering the application sizes in the finder "get
info"
window, and seeing whether the resulting python is still usable.
After installing
----------------
...
...
@@ -124,47 +128,49 @@ After installing
It is probably a good idea to run the automatic tests. Start
Python and "import test.regrtest ; test.regrtest.main()".
test_time
will
fail
because
MacPython
accepts
bogus
values
for
mktime
(),
this
will
be
fixed
later
(
it
is
not
a
very
serious
problem
).
test_time will fail because MacPython accepts bogus values for
mktime(), this
will be fixed later (it is not a very serious problem).
test_descrtut will fail because of a problem with the test itself.
Three tests will fail on MacOS9 with MemoryErrors:
test_longexp, test_sha and test_zlib (on MacOSX these should pass).
If
you
increase
the
PythonInterpreter
memory
partition
size
they
will
pass
(
but
for
longexp
you
have
to
increase
it
by
an
incredible
amount
,
400
MB
is
rumoured
).
It
will
,
however
,
print
some
messages
about
optional
features
not
supported
.
You
should
not
worry
about
these
,
they
are
modules
that
are
supported
by
Python
on
other
platforms
.
Also
,
if
you
didn
't run compileall before autotesting you may run out of
memory the first time you run the tests. test_socket may also fail if
you have no internet connection. Please also read the Relnotes file for
other minor problems with this distribution.
Using Python is most easily done from the IDE, which has a builtin editor,
debugger and other goodies. The alternative is to use PythonInterpreter,
which is the lowlevel interpreter with a console-window only (similar to Unix
Python).
If your program uses Tkinter you MUST run it under PythonInterpreter, Tkinter
and IDE are incompatible and your program will fail in strange ways.
If you increase the PythonInterpreter memory partition size they will
pass (but for longexp you have to increase it by an incredible amount,
400MB is rumoured). It will, however, print some messages about
optional features not supported. You should not worry about these,
they are modules that are supported by Python on other
platforms. Also, if you didn't run compileall before autotesting you
may run out of memory the first time you run the tests. test_socket
may also fail if you have no internet connection. Please also read the
Relnotes file for other minor problems with this distribution.
Using Python is most easily done from the IDE, which has a builtin
editor, debugger and other goodies. The alternative is to use
PythonInterpreter, which is the lowlevel interpreter with a
console-window only (similar to Unix Python).
If your program uses Tkinter you MUST run it under PythonInterpreter,
Tkinter and IDE are incompatible and your program will fail in strange
ways.
Uninstalling
------------
Two items are installed in the system folder: the interpreter shared
libraries PythonCore and PythonCoreCarbon lives in the Extensions folder and the
"Python 2.2b1 Preferences" file in the Python subfolder in the
Preferences folder. All the rest of Python lives in the folder you
installed in.
On OSX the libraries are installed in /Library/CFMSupport. There is a nasty bug
in OSX that is triggered by Python: if any orphaned aliases are left in
/Library/CFMSupport your machine will start to behave very badly. 2.1
beta installers triggered this problem if you simply threw away your Python folder,
so if you installed a 2.1beta you should clean out the aliases in /Library/CFMSupport
too. The final 2.1 and 2.1.1 installers always copied the shared libraries on OSX, so it does
libraries PythonCore and PythonCoreCarbon lives in the Extensions
folder and the "Python 2.2b1 Preferences" file in the Python subfolder
in the Preferences folder. All the rest of Python lives in the folder
you installed in.
On OSX the libraries are installed in /Library/CFMSupport. There is a
nasty bug in OSX that is triggered by Python: if any orphaned aliases
are left in /Library/CFMSupport your machine will start to behave very
badly. 2.1 beta installers triggered this problem if you simply threw
away your Python folder, so if you installed a 2.1beta you should
clean out the aliases in /Library/CFMSupport too. The final 2.1 and
2.1.1 installers always copied the shared libraries on OSX, so it does
not have the problem anymore.
Things to see
...
...
@@ -179,14 +185,14 @@ machine-independent demos.
The Mac:Lib:test folder also has some programs that show simple
capabilities of various modules.
The ":Mac:scripts" folder has some sample scripts. Some are useful,
some are
just interesting to look at to see how various things work. The MkDistr,
mkapplet and fullbuild scripts (plus the ones mentioned above) may help
you to understand how to use AppleEvents and various other toolboxes
from python.
The ":Mac:scripts" folder has some sample scripts. Some are useful,
some are just interesting to look at to see how various things
work. The MkDistr, mkapplet and fullbuild scripts (plus the ones
mentioned above) may help you to understand how to use AppleEvents and
various other toolboxes
from python.
Other mac-specific goodies can be found in :Mac:Tools, of which the
IDE sources
and a CGI framework deserve special mention.
Other mac-specific goodies can be found in :Mac:Tools, of which the
IDE sources
and a CGI framework deserve special mention.
The 'img' group of modules, which handles I/O of many different image
formats is included, but without documentation. You can find docs at
...
...
@@ -198,9 +204,9 @@ software.
Upgrading from older Python releases
------------------------------------
Python releases are independent of each other, with
separate Preferences files, shared library names, etc. The good news is
th
at th
is means you can keep your older version around if you are unsure
Python releases are independent of each other, with
separate
Preferences files, shared library names, etc. The good news is that
this means you can keep your older version around if you are unsure
whether to upgrade. The bad news is that your old preference settings
are lost and you have to set them again.
...
...
@@ -208,10 +214,10 @@ After you are satisfied that 2.2b1 works as expected you can trash
anything in the system folder that has "python" in the name and not
"2.2b1".
The ConfigurePython... applets will try to detect incompatible
preferences
files and offer to remove them. This means that re-running ConfigurePython after
a second install of the same MacPython version (or after moving the Python folder)
should fix things up correctly.
The ConfigurePython... applets will try to detect incompatible
preferences files and offer to remove them. This means that re-running
ConfigurePython after a second install of the same MacPython version
(or after moving the Python folder)
should fix things up correctly.
The installer
-------------
...
...
@@ -239,14 +245,16 @@ Corran Webster, Tony Ingraldi, Erik van Blokland, Bill Bedford, Chris
Stern, Gordon Worley, Oliver Steele, M. Papillon, Steven Majewski, David
Goodger, Chris Barker, Luc Lefebvre, Tattoo Mabonzo K., Russell Finn,
Tom Bridgman, Russel Owen, Pascal Oberndoerfer, Dean Draayer,
Alexandre Parenteau,
Alexandre Parenteau,
Donovan Preston
and all the other people who provided feedback, code or both!
MacPython includes waste, a TextEdit replacement which is (c) 1998 Marco Piovanelli.
MacPython includes waste, a TextEdit replacement which is (c) 1998
Marco Piovanelli.
A special mention is deserved by Matthias Neeracher, who has written the brilliant
unix-compatible GUSI I/O library, without which MacPython would not have sockets
or select, and to Alexandre Parenteau, who has ported this library to Carbon.
A special mention is deserved by Matthias Neeracher, who has written
the brilliant unix-compatible GUSI I/O library, without which
MacPython would not have sockets or select, and to Alexandre
Parenteau, who has ported this library to Carbon.
Feedback
--------
...
...
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