python / python/cpython

`PyImport_CreateModuleFromInitfunc()`: wrong `__name__` for submodules, non-ASCII names rejected, inittab name clashes

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interpreter-core topic-C-API type-bug
Lenguaje dominante
Python
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Descripción

Bug report

Bug description:

Since PyImport_CreateModuleFromInitfunc() was added (in 3.15, gh-116146), I ran into some issues from real world use internally at Meta (with 3.15+, as well as our 3.14 fork, which has this backported). Collected here as a single issue for convenience - let me know if splitting is preferred.

The API is built on the internal create_builtin() helper, and inherits a few inittab behaviors that don't make sense for an explicitly-passed init function.

  1. Single-phase submodules get the short name. The package context is never set while initfunc runs, so a single-phase init that creates its module as sub (what pybind11's PYBIND11_MODULE(sub, m) does) ends up with __name__ == 'sub' while the spec says pkg.sub. The original impl handled that, but it was lost somewhere on the way.
  2. Non-ASCII spec names raise UnicodeEncodeError, even for multi-phase modules, which the dynamic loader accepts.
  3. Names registered in PyImport_Inittab are handled silently. Depending on the state of the builtin, initfunc is ignored, or the module created here replaces the builtin for later imports, or (multi-phase builtin) initfunc's module overwrites the real one in sys.modules. sys and builtins fall in the first bucket.
  4. Undocumented semantics. Single-phase modules are added to sys.modules by the call itself, multi-phase ones aren't. The spec name is the module's identity, so a second call with the same name and a different initfunc returns the cached module and never calls the new function.

The existing test only covers one top-level single-phase and one top-level multi-phase module, so none of this was caught.

AI disclosure: I ran into the first issue in production, used Claude Opus 5 and Fable 5.1 to root cause, which flagged the other issues while investigating. Fable 5.1 prepared the fixes.

Demo output before any fix:

pkg.sub: repr=<module 'sub'> __name__=sub
non-ASCII name: UnicodeEncodeError: 'ascii' codec can't encode character '\xf6'
same name, initfunc B after A: which=A  calls_a=1 calls_b=0
'_random' via custom initfunc, then `import _random`: <module 'same'>  hasattr(Random)=False

Tests demonstrating all of the above: https://github.com/itamaro/cpython/tree/gh-116146-initfunc-tests-only

Plan

One PR each:

  • Set the package context while calling initfunc, like the dynamic loader does (1)
  • Accept non-ASCII names for multi-phase init; single-phase gets the same SystemError as dynamic loading (2)
  • Raise ImportError for names registered in PyImport_Inittab (3)
  • Document the sys.modules and name-identity behavior (4)
CPython versions tested on:

CPython main branch, 3.15

Operating systems tested on:

Linux, macOS

Linked PRs
  • gh-157387
  • gh-157388
  • gh-157389
  • gh-157390
  • gh-157758

Guía de contribución

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Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza con PyImport_CreateModuleFromInitfunc(), las pruebas existentes para módulos de nivel superior de una y varias fases, y la rama de pruebas vinculada gh-116146-initfunc-tests-only. Compara su comportamiento con PyImport_Inittab y el cargador dinámico. Se considera terminado cuando se hayan abordado los cuatro elementos de la lista de comprobación, incluida la semántica documentada de sys.modules y de la identidad de nombres; los PR vinculados gh-157387 a gh-157390 y gh-157758 muestran que el trabajo ya está en marcha.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
python
Área
backend
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
25/100

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