- Make some string interpolations more readable using f-strings or
explicit parametrisation
- Remove unneeded open() mode specifiers
Co-authored-by: Erlend E. Aasland <erlend.aasland@protonmail.com>
The following local variables were assigned but never used:
- line 551: result
- line 1341: groups
- line 1431: default_return_converter
- line 1529: ignore_self
- line 1809: input_checksum
- line 4224: new'
---
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
For code readability. Instances of `builtins.dict` have been ordered since 3.6, and have been guaranteed by the language to be ordered since Python 3.7. Argument Clinic now requires Python 3.10+.
Annotate the following:
- methods of class Class
- methods of class Module
- methods of class PythonParser
- function compute_checksum()
- function parse_file()
- global variable unsupported_special_methods
- Convert `unspecified` and `unknown` to be members of a `Sentinels` enum, rather than instances of bespoke classes.
- An enum feels more idiomatic here, and works better with type checkers.
- Convert some `==` and `!=` checks for these values to identity checks, which are more idiomatic with sentinels.
- _Don't_ do the same for `Null`, as this needs to be a distinct type due to its usage in `clinic.py`.
- Use `object` as the annotation for `default` across `clinic.py`. `default` can be literally any object, so `object` is the correct annotation here.
---
Co-authored-by: Erlend E. Aasland <erlend.aasland@protonmail.com>
Introduce TypeSet, and use it to annotate the 'accept' keyword of
various C converters. Also add some missing return annotations for
converter init functions.
* Add basic mypy workflow to CI
* Make the type check pass
---------
Co-authored-by: Erlend E. Aasland <erlend.aasland@protonmail.com>
Co-authored-by: Nikita Sobolev <mail@sobolevn.me>
Co-authored-by: Hugo van Kemenade <hugovk@users.noreply.github.com>
When monitoring LINE events, instrument all instructions that can have a predecessor on a different line.
Then check that the a new line has been hit in the instrumentation code.
This brings the behavior closer to that of 3.11, simplifying implementation and porting of tools.
Use the unused keyword param in the converter to explicitly
mark an argument as unused:
/*[clinic input]
SomeBaseClass.stubmethod
flag: bool(unused=True)
[clinic start generated code]*/
Replaces our built-in SHA3 implementation with a verified one from the HACL* project.
This implementation is used when OpenSSL does not provide SHA3 or is not present.
3.11 shiped with a very slow tiny sha3 implementation to get off of the <=3.10 reference implementation that wound up having serious bugs. This brings us back to a reasonably performing built-in implementation consistent with what we've just replaced our other guaranteed available standard hash algorithms with: code from the HACL* project.
---------
Co-authored-by: Gregory P. Smith <greg@krypto.org>
This is strictly about moving the "obmalloc" runtime state from
`_PyRuntimeState` to `PyInterpreterState`. Doing so improves isolation
between interpreters, specifically most of the memory (incl. objects)
allocated for each interpreter's use. This is important for a
per-interpreter GIL, but such isolation is valuable even without it.
FWIW, a per-interpreter obmalloc is the proverbial
canary-in-the-coalmine when it comes to the isolation of objects between
interpreters. Any object that leaks (unintentionally) to another
interpreter is highly likely to cause a crash (on debug builds at
least). That's a useful thing to know, relative to interpreter
isolation.
This PR makes three minor linting adjustments to the `wasm` module
caught by [ruff](https://github.com/charliermarsh/ruff).
<!-- gh-issue-number: gh-103801 -->
* Issue: gh-103801
<!-- /gh-issue-number -->
---------
Co-authored-by: blurb-it[bot] <43283697+blurb-it[bot]@users.noreply.github.com>
This is the implementation of PEP683
Motivation:
The PR introduces the ability to immortalize instances in CPython which bypasses reference counting. Tagging objects as immortal allows up to skip certain operations when we know that the object will be around for the entire execution of the runtime.
Note that this by itself will bring a performance regression to the runtime due to the extra reference count checks. However, this brings the ability of having truly immutable objects that are useful in other contexts such as immutable data sharing between sub-interpreters.
Alex Waygood
Erlend E. Aasland
gsallam
Jelle Zijlstra
Kumar Aditya
Nikita Sobolev
dependabot[bot]
Mark Shannon
Carl Meyer
penguin_wwy
Hugo van Kemenade
Jonathan Protzenko
Tian Gao
Juhi Chandalia
Barry Warsaw
Yichen Yan
Eric Snow
Daniel Versoza
Eddie Elizondo