This implements ideas from Marc-Andre, Martin, Guido and me on Python-Dev.
"Short" Unicode strings are encoded into a "big enough" stack buffer,
then exactly as much string space as they turn out to need is allocated
at the end. This should have speed benefits akin to Martin's "measure
once, allocate once" strategy, but without needing a distinct measuring
pass.
"Long" Unicode strings allocate as much heap space as they could possibly
need (4 x # Unicode chars), and do a realloc at the end to return the
untouched excess. Since the overallocation is likely to be substantial,
this shouldn't burden the platform realloc with unusably small excess
blocks.
Also simplified uses of the PyString_xyz functions. Also added a release-
build check that 4*size doesn't overflow a C int. Sooner or later, that's
going to happen.
left and right type were of the same type and not classic instances.
This shortcut is dangerous for proxy types, because it means that
coerce(Proxy(1), Proxy(2.1)) leaves Proxy(1) unchanged rather than
turning it into Proxy(1.0).
In an ever-so-slight change of semantics, I now only take the shortcut
when the left and right types are of the same type and don't have the
CHECKTYPES feature. It so happens that classic instances have this
flag, so the shortcut is still skipped in this case (i.e. nothing
changes for classic instances). Proxies also have this flag set
(otherwise implementing numeric operations on proxies would become
nightmarish) and this means that the shortcut is also skipped there,
as desired. It so happens that int, long and float also have this
flag set; that means that e.g. coerce(1, 1) will now invoke
int_coerce(). This is fine: int_coerce() can deal with this, and I'm
not worried about the performance; int_coerce() is only invoked when
the user explicitly calls coerce(), which should be rarer than rare.
This fixes the problem that Barry reported on python-dev:
>>> 23000 .__class__ = bool
crashes in the deallocator. This was because int inherited tp_free
from object, which uses the default allocator.
2.2. Bugfix candidate.
better auto-recognition of a Jython file vs. a CPython (or agnostic)
file by looking at the #! line more closely, and inspecting the import
statements in the first 20000 bytes (configurable). Specifically,
(py-import-check-point-max): New variable, controlling how far into
the buffer it will search for import statements.
(py-jpython-packages): List of package names that are Jython-ish.
(py-shell-alist): List of #! line programs and the modes associated
with them.
(jpython-mode-hook): Extra hook that runs when entering jpython-mode
(what about Jython mode? <20k wink>).
(py-choose-shell-by-shebang, py-choose-shell-by-import,
py-choose-shell): New functions.
(python-mode): Use py-choose-shell.
(jpython-mode): New command.
(py-execute-region): Don't use my previous hacky attempt at doing
this, use the new py-choose-shell function.
One other thing this file now does: it attempts to add the proper
hooks to interpreter-mode-alist and auto-mode-alist if they aren't
already there. Might help with Emacs users since that editor doesn't
come with python-mode by default.
Allows for some customization of the underlying comint buffer.
(py-shell): Call the new hook.
(info-lookup-maybe-add-help): A new call suggested by Milan Zamazal to
make lookups in the Info documentation easier.
On Win2K it thought 'foo' started at byte offset 0 instead of at the
pagesize, and on Win98 it thought 'foo' didn't exist at all. Somehow
or other this is related to the new "in memory file" gimmicks in
bsddb, but the old bsddb we use on Windows sucks so bad anyway I don't
want to bother digging deeper. Flushing the file in test_mmap after
writing to it makes the problem go away, so good enough.
build's "undetected error" problems were originally detected with
extension types, but we can whitebox test the same situations with
new-style classes.
states can be for this function, and ensure that only AttributeErrors
are masked. Any other exception raised via the equivalent of
getattr(cls, '__bases__') should be propagated up.
abstract_issubclass(): If abstract_get_bases() returns NULL, we must
call PyErr_Occurred() to see if an exception is being propagated, and
return -1 or 0 as appropriate. This is the specific fix for a problem
whereby if getattr(derived, '__bases__') raised an exception, an
"undetected error" would occur (under a debug build). This nasty
situation was uncovered when writing a security proxy extension type
for the Zope3 project, where the security proxy raised a Forbidden
exception on getattr of __bases__.
PyObject_IsInstance(), PyObject_IsSubclass(): After both calls to
abstract_get_bases(), where we're setting the TypeError if the return
value is NULL, we must first check to see if an exception occurred,
and /not/ mask an existing exception.
Neil Schemenauer should double check that these changes don't break
his ExtensionClass examples (there aren't any test cases for those
examples and abstract_get_bases() was added by him in response to
problems with ExtensionClass). Neil, please add test cases if
possible!
I belive this is a bug fix candidate for Python 2.2.2.
The SIGXFSZ signal is sent when the maximum file size limit is
exceeded (RLIMIT_FSIZE). Apparently, it is also sent when the 2GB
file limit is reached on platforms without large file support.
The default action for SIGXFSZ is to terminate the process and dump
core. When it is ignored, the system call that caused the limit to be
exceeded returns an error and sets errno to EFBIG. Python
always checks errno on I/O syscalls, so there is nothing to do with
the signal.
Also add a test that Python doesn't die with SIGXFSZ if it exceeds the
file rlimit. (Assuming this will also test the behavior when the 2GB
limit is exceed on a platform that doesn't have large file support.)
Tim Peters
Fred Drake
Guido van Rossum
Barry Warsaw
Neil Schemenauer
Thomas Heller
Jack Jansen
Jeremy Hylton
Anthony Baxter