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c73a92fbf5
Reference: https://docs.astral.sh/ruff/formatter/black/#assert-statements > Unlike Black, Ruff prefers breaking the message over breaking the assertion, similar to how both Ruff and Black prefer breaking the assignment value over breaking the assignment target: > > ```python > # Input > assert ( > len(policy_types) >= priority + num_duplicates > ), f"This tests needs at least {priority+num_duplicates} many types." > > > # Black > assert ( > len(policy_types) >= priority + num_duplicates > ), f"This tests needs at least {priority+num_duplicates} many types." > > # Ruff > assert len(policy_types) >= priority + num_duplicates, ( > f"This tests needs at least {priority + num_duplicates} many types." > ) > ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/144546 Approved by: https://github.com/malfet
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
from __future__ import annotations
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import threading
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from contextlib import contextmanager
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from collections.abc import Iterator
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# Simple dynamic scoping implementation. The name "parametrize" comes
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# from Racket.
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#
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# WARNING WARNING: LOOKING TO EDIT THIS FILE? Think carefully about
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# why you need to add a toggle to the global behavior of code
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# generation. The parameters here should really only be used
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# for "temporary" situations, where we need to temporarily change
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# the codegen in some cases because we cannot conveniently update
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# all call sites, and are slated to be eliminated once all call
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# sites are eliminated. If you don't have a plan for how to get there,
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# DON'T add a new entry here.
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class Locals(threading.local):
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use_const_ref_for_mutable_tensors: bool | None = None
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use_ilistref_for_tensor_lists: bool | None = None
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_locals = Locals()
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def use_const_ref_for_mutable_tensors() -> bool:
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assert _locals.use_const_ref_for_mutable_tensors is not None, (
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"need to initialize local.use_const_ref_for_mutable_tensors with "
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"local.parametrize"
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)
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return _locals.use_const_ref_for_mutable_tensors
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def use_ilistref_for_tensor_lists() -> bool:
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assert _locals.use_ilistref_for_tensor_lists is not None, (
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"need to initialize local.use_ilistref_for_tensor_lists with local.parametrize"
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)
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return _locals.use_ilistref_for_tensor_lists
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@contextmanager
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def parametrize(
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*, use_const_ref_for_mutable_tensors: bool, use_ilistref_for_tensor_lists: bool
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) -> Iterator[None]:
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old_use_const_ref_for_mutable_tensors = _locals.use_const_ref_for_mutable_tensors
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old_use_ilistref_for_tensor_lists = _locals.use_ilistref_for_tensor_lists
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try:
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_locals.use_const_ref_for_mutable_tensors = use_const_ref_for_mutable_tensors
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_locals.use_ilistref_for_tensor_lists = use_ilistref_for_tensor_lists
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yield
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finally:
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_locals.use_const_ref_for_mutable_tensors = (
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old_use_const_ref_for_mutable_tensors
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)
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_locals.use_ilistref_for_tensor_lists = old_use_ilistref_for_tensor_lists
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