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chore: enable pyupgrade fixes (#1806)

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# What does this PR do?

The goal of this PR is code base modernization.

Schema reflection code needed a minor adjustment to handle UnionTypes
and collections.abc.AsyncIterator. (Both are preferred for latest Python
releases.)

Note to reviewers: almost all changes here are automatically generated
by pyupgrade. Some additional unused imports were cleaned up. The only
change worth of note can be found under `docs/openapi_generator` and
`llama_stack/strong_typing/schema.py` where reflection code was updated
to deal with "newer" types.

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
This commit is contained in:
Ihar Hrachyshka 2025-05-01 17:23:50 -04:00 • committed by GitHub
parent ffe3d0b2cd
commit 9e6561a1ec
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319 changed files with 2843 additions and 3033 deletions
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7
llama_stack/providers/inline/inference/meta_reference/model_parallel.py
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@ -4,9 +4,10 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from collections.abc import Callable, Generator
from copy import deepcopy
from functools import partial
from typing import Any, Callable, Generator, List
from typing import Any
from llama_stack.models.llama.llama3.chat_format import ChatFormat as Llama3ChatFormat
from llama_stack.models.llama.llama4.chat_format import ChatFormat as Llama4ChatFormat
@ -82,7 +83,7 @@ class LlamaModelParallelGenerator:
def completion(
self,
request_batch: List[CompletionRequestWithRawContent],
request_batch: list[CompletionRequestWithRawContent],
) -> Generator:
req_obj = deepcopy(request_batch)
gen = self.group.run_inference(("completion", req_obj))
@ -90,7 +91,7 @@ class LlamaModelParallelGenerator:
def chat_completion(
self,
request_batch: List[ChatCompletionRequestWithRawContent],
request_batch: list[ChatCompletionRequestWithRawContent],
) -> Generator:
req_obj = deepcopy(request_batch)
gen = self.group.run_inference(("chat_completion", req_obj))