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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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20
llama_stack/apis/benchmarks/benchmarks.py
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@ -3,7 +3,7 @@
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import Any, Dict, List, Literal, Optional, Protocol, runtime_checkable
from typing import Any, Literal, Protocol, runtime_checkable
from pydantic import BaseModel, Field
@ -13,8 +13,8 @@ from llama_stack.schema_utils import json_schema_type, webmethod
class CommonBenchmarkFields(BaseModel):
dataset_id: str
scoring_functions: List[str]
metadata: Dict[str, Any] = Field(
scoring_functions: list[str]
metadata: dict[str, Any] = Field(
default_factory=dict,
description="Metadata for this evaluation task",
)
@ -35,12 +35,12 @@ class Benchmark(CommonBenchmarkFields, Resource):
class BenchmarkInput(CommonBenchmarkFields, BaseModel):
benchmark_id: str
provider_id: Optional[str] = None
provider_benchmark_id: Optional[str] = None
provider_id: str | None = None
provider_benchmark_id: str | None = None
class ListBenchmarksResponse(BaseModel):
data: List[Benchmark]
data: list[Benchmark]
@runtime_checkable
@ -59,8 +59,8 @@ class Benchmarks(Protocol):
self,
benchmark_id: str,
dataset_id: str,
scoring_functions: List[str],
provider_benchmark_id: Optional[str] = None,
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
scoring_functions: list[str],
provider_benchmark_id: str | None = None,
provider_id: str | None = None,
metadata: dict[str, Any] | None = None,
) -> None: ...