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[functools] Make partial covariant in its return type - #16769
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Diff from mypy_primer, showing the effect of this PR on open source code: jax (https://github.com/google/jax)
- jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2598: error: Argument 1 to "_process_dynamic_mask" has incompatible type "Array | MultiHeadMask"; expected "Array" [arg-type]
- jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2614: error: Argument 1 to "_process_dynamic_mask" has incompatible type "Array | MultiHeadMask"; expected "Array" [arg-type]
- jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2615: error: Argument 2 to "_process_dynamic_mask" has incompatible type "tuple[int | Any | None, int | Any | None]"; expected "tuple[int, int]" [arg-type]
- jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2624: error: Argument 1 to "_process_dynamic_mask" has incompatible type "Array | MultiHeadMask"; expected "Array" [arg-type]
- jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_kernel.py:2625: error: Argument 2 to "_process_dynamic_mask" has incompatible type "tuple[int | Any | None, int | Any | None]"; expected "tuple[int, int]" [arg-type]
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Partially addresses #10566 (specifically
functools.partial;partialmethodandsingledispatchare left untouched to avoid overlapping with #16736 and #15635).functools.partialonly exposes_Tvia read-only properties (func) and return positions (__call__,__get__) plus__new__, so_T_comakespartial[Child]assignable topartial[Parent], as noted by @JelleZijlstra in #10566.Verification
check_partial_covariance) instdlib/@tests/test_cases/check_functools.py.mypy(3.10, 3.14),pyright(stricter 3.10, 3.14, and testcases 3.12),ty,pyrefly,stubtestonfunctools,regr_test,ruff,black,flake8, andcheck_typeshed_structure.py.