Files
mtgodot-poc/extension/third_party/cpython-2.7.18/Misc/README.coverity
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shenleiandClaude Opus 5 5fad769ee8 port 2P step 1: vendor CPython 2.7.18 as the mtpython static library
The embedded 40250 script layer needs its own interpreter on five platforms.
2.7 is end-of-life, so nothing can be fetched from the target SDKs and the
source is vendored (official 2.7.18 tarball, trimmed to 25MB; Lib/ stays for
step 3's python27.zip).

cpython-2.7.18/CMakeLists.txt builds one `mtpython` static library from exactly
the 133 objects the reference libpython2.7.a contains, off by default behind
-DMTGODOT_EMBED_PYTHON=ON. The source list and the built-in module table
(config/config.c, 39 entries) are shared; pyconfig.h is a probe result and is
not, so each platform keeps its own under config/<platform>/, regenerated by
tools/py_embed/gen_pyconfig.sh and checked against the shared table.

Three vendor patches, documented in docs/THIRD-PARTY.md: configure/configure.ac
learn arm64 on macOS, and posixmodule.c undefines the process-control calls it
hard-defines past pyconfig.h when building for iOS.

macOS (ctest python.embed: every builtin imports, codecs and pickle work off the
vendored Lib/), Android arm64 and iOS arm64 build. Linux needs a Linux host and
Windows needs a MinGW-vs-MSVC decision; both are noted for step 4.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-23 08:27:35 +09:00

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Coverity has a static analysis tool (Prevent) which is similar to Klocwork.
They run their tool on the Python source code (SVN head) on a daily basis.
The results are available at:
http://scan.coverity.com/
About 20 people have access to the analysis reports. Other
people can be added by request.
Prevent was first run on the Python 2.5 source code in March 2006.
There were originally about 100 defects reported. Some of these
were false positives. Over 70 issues were uncovered.
Each warning has a unique id and comments that can be made on it.
When checking in changes due to a warning, the unique id
as reported by the tool was added to the SVN commit message.
False positives were annotated so that the comments can
be reviewed and reversed if the analysis was incorrect.
Contact python-dev@python.org for more information.