Files
RustPython/Lib
박효종 4a4cef68ea Add 'w' (Py_UCS4) typecode support to array (#8266)
* Support array 'w' (Py_UCS4) typecode

Python 3.13 added the 'w' typecode holding fixed 4-byte unicode code
points, unlike 'u' which is platform-dependent wchar_t. Add a Ucs4Char
element type and route it through the existing unicode-array paths:
constructor from str, fromunicode()/tounicode(), __reduce_ex__, repr,
byteswap, and the machine-format code (Utf32). Also register 'w' as a
struct format char in vm::buffer.

Remove the now-passing expectedFailure markers for 'w' tests in
test_array.py.

Assisted-by: Claude

* Reject non-native byte order for the 'w' format char

FormatType::parse accepted 'w' after '<', '>', '!', or '=', but the
non-native branch of FormatType::info has no Ucs4Char arm and hits
unreachable!(), so struct.calcsize('>w') panicked the interpreter.
Add Ucs4Char to the existing native-only filter in FormatCode::parse
(alongside SSizeT/SizeT/VoidP) so those formats fail with the regular
"bad char in struct format" error instead. Native 'w' and
memoryview(array('w', ...)) are unaffected.

Assisted-by: Claude

* Unmark 'w'-typecode tests in test_re and test_csv

test_re's test_empty_array and test_csv's test_char_write construct
array('w', ...) and were marked expectedFailure while the typecode was
unsupported. Now that 'w' works they pass, and regrtest counts the
unexpected successes as failures in CI. Remove the two markers, which
restores both tests to their CPython v3.14.6 form; test_re, test_csv,
and test_array all pass.

Assisted-by: Claude
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Standard Library for RustPython

This directory contains all of the Python files that make up the standard library for RustPython.

Most of these files are copied over from the CPython repository (the 3.7 branch), with slight modifications to allow them to work under RustPython. The current goal is to complete the standard library with as few modifications as possible. Current modifications are just temporary workarounds for bugs/missing feature within the RustPython implementation.

The first big module we are targeting is unittest, so we can leverage the CPython test suite.