mirror of
https://github.com/hwchase17/langchain.git
synced 2025-07-11 15:35:09 +00:00
fix: bump lockfiles (#31923)
* bump lockfiles after upgrading ruff * resolve resulting linting fixes
This commit is contained in:
parent
e7f1ceee67
commit
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@ -288,7 +288,7 @@ class Chroma(VectorStore):
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collection_metadata: Optional[dict] = None,
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client: Optional[chromadb.ClientAPI] = None,
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relevance_score_fn: Optional[Callable[[float], float]] = None,
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create_collection_if_not_exists: Optional[bool] = True, # noqa: FBT002
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create_collection_if_not_exists: Optional[bool] = True, # noqa: FBT001, FBT002
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) -> None:
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"""Initialize with a Chroma client.
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@ -1186,16 +1186,16 @@ class Chroma(VectorStore):
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else:
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ids = [id_ if id_ is not None else str(uuid.uuid4()) for id_ in ids]
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if hasattr(
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chroma_collection._client, # noqa: SLF001
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chroma_collection._client,
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"get_max_batch_size",
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) or hasattr( # for Chroma 0.5.1 and above
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chroma_collection._client, # noqa: SLF001
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chroma_collection._client,
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"max_batch_size",
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): # for Chroma 0.4.10 and above
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from chromadb.utils.batch_utils import create_batches
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for batch in create_batches(
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api=chroma_collection._client, # noqa: SLF001
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api=chroma_collection._client,
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ids=ids,
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metadatas=metadatas, # type: ignore[arg-type]
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documents=texts,
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@ -108,6 +108,8 @@ ignore = [
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"D105", # Missing docstring in magic method
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"D107", # Missing docstring in __init__
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"UP007", # pyupgrade: non-pep604-annotation-union
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"UP045", # pyupgrade: non-pep604-annotation-optional
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"COM812", # Messes with the formatter
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]
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unfixable = ["B028"] # People should intentionally tune the stacklevel
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File diff suppressed because it is too large
Load Diff
@ -94,6 +94,7 @@ ignore = [
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"D105", # Missing docstring in magic method
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"D107", # Missing docstring in __init__
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"UP007", # pyupgrade: non-pep604-annotation-union
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"UP045", # pyupgrade: non-pep604-annotation-optional
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]
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unfixable = ["B028"] # People should intentionally tune the stacklevel
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File diff suppressed because it is too large
Load Diff
@ -76,19 +76,19 @@ class ExaSearchResults(BaseTool): # type: ignore[override]
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self,
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query: str,
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num_results: int = 10,
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text_contents_options: Optional[
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text_contents_options: Optional[ # noqa: FBT001
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Union[TextContentsOptions, dict[str, Any], bool]
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] = None,
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highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
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highlights: Optional[Union[HighlightsContentsOptions, bool]] = None, # noqa: FBT001
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include_domains: Optional[list[str]] = None,
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exclude_domains: Optional[list[str]] = None,
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start_crawl_date: Optional[str] = None,
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end_crawl_date: Optional[str] = None,
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start_published_date: Optional[str] = None,
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end_published_date: Optional[str] = None,
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use_autoprompt: Optional[bool] = None,
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use_autoprompt: Optional[bool] = None, # noqa: FBT001
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livecrawl: Optional[Literal["always", "fallback", "never"]] = None,
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summary: Optional[Union[bool, dict[str, str]]] = None,
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summary: Optional[Union[bool, dict[str, str]]] = None, # noqa: FBT001
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type: Optional[Literal["neural", "keyword", "auto"]] = None, # noqa: A002
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> Union[list[dict], str]:
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@ -157,20 +157,20 @@ class ExaFindSimilarResults(BaseTool): # type: ignore[override]
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self,
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url: str,
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num_results: int = 10,
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text_contents_options: Optional[
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text_contents_options: Optional[ # noqa: FBT001
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Union[TextContentsOptions, dict[str, Any], bool]
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] = None,
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highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
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highlights: Optional[Union[HighlightsContentsOptions, bool]] = None, # noqa: FBT001
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include_domains: Optional[list[str]] = None,
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exclude_domains: Optional[list[str]] = None,
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start_crawl_date: Optional[str] = None,
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end_crawl_date: Optional[str] = None,
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start_published_date: Optional[str] = None,
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end_published_date: Optional[str] = None,
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exclude_source_domain: Optional[bool] = None,
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exclude_source_domain: Optional[bool] = None, # noqa: FBT001
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category: Optional[str] = None,
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livecrawl: Optional[Literal["always", "fallback", "never"]] = None,
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summary: Optional[Union[bool, dict[str, str]]] = None,
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summary: Optional[Union[bool, dict[str, str]]] = None, # noqa: FBT001
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> Union[list[dict], str]:
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"""Use the tool.
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@ -99,6 +99,7 @@ ignore = [
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"RUF012", # Doesn't play well with Pydantic
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"SLF001", # Private member access
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"UP007", # pyupgrade: non-pep604-annotation-union
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"UP045", # pyupgrade: non-pep604-annotation-optional
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]
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unfixable = ["B028"] # People should intentionally tune the stacklevel
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File diff suppressed because it is too large
Load Diff
@ -484,7 +484,7 @@ class ChatFireworks(BaseChatModel):
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messages: list[BaseMessage],
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stop: Optional[list[str]] = None,
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run_manager: Optional[CallbackManagerForLLMRun] = None,
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stream: Optional[bool] = None,
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stream: Optional[bool] = None, # noqa: FBT001
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**kwargs: Any,
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) -> ChatResult:
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should_stream = stream if stream is not None else self.streaming
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@ -581,7 +581,7 @@ class ChatFireworks(BaseChatModel):
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messages: list[BaseMessage],
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stop: Optional[list[str]] = None,
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run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
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stream: Optional[bool] = None,
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stream: Optional[bool] = None, # noqa: FBT001
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**kwargs: Any,
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) -> ChatResult:
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should_stream = stream if stream is not None else self.streaming
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@ -103,6 +103,7 @@ ignore = [
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"RUF012", # Doesn't play well with Pydantic
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"SLF001", # Private member access
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"UP007", # pyupgrade: non-pep604-annotation-union
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"UP045", # pyupgrade: non-pep604-annotation-optional
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]
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unfixable = ["B028"] # People should intentionally tune the stacklevel
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@ -653,7 +653,7 @@ wheels = [
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[[package]]
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name = "langchain-core"
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version = "0.3.67"
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version = "0.3.68"
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source = { editable = "../../core" }
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dependencies = [
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{ name = "jsonpatch" },
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@ -682,7 +682,7 @@ dev = [
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{ name = "jupyter", specifier = ">=1.0.0,<2.0.0" },
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{ name = "setuptools", specifier = ">=67.6.1,<68.0.0" },
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]
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lint = [{ name = "ruff", specifier = ">=0.11.2,<0.12.0" }]
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lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
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test = [
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{ name = "blockbuster", specifier = "~=1.5.18" },
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{ name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
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@ -761,7 +761,7 @@ requires-dist = [
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[package.metadata.requires-dev]
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codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
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dev = [{ name = "langchain-core", editable = "../../core" }]
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lint = [{ name = "ruff", specifier = ">=0.5,<1.0" }]
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lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
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test = [
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{ name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
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{ name = "langchain-core", editable = "../../core" },
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@ -817,7 +817,7 @@ requires-dist = [
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[package.metadata.requires-dev]
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codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
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lint = [{ name = "ruff", specifier = ">=0.9.2,<1.0.0" }]
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lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
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test = [{ name = "langchain-core", editable = "../../core" }]
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test-integration = []
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typing = [
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@ -1762,27 +1762,27 @@ wheels = [
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[[package]]
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name = "ruff"
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version = "0.9.4"
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version = "0.12.2"
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source = { registry = "https://pypi.org/simple" }
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{ url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
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]
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||||
[[package]]
|
||||
|
@ -96,6 +96,7 @@ ignore = [
|
||||
"RUF012", # Doesn't play well with Pydantic
|
||||
"SLF001", # Private member access
|
||||
"UP007", # pyupgrade: non-pep604-annotation-union
|
||||
"UP045", # pyupgrade: non-pep604-annotation-optional
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]
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unfixable = ["B028"] # People should intentionally tune the stacklevel
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@ -331,7 +331,7 @@ wheels = [
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[[package]]
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source = { editable = "../../core" }
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{ name = "jsonpatch" },
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@ -360,7 +360,7 @@ dev = [
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{ name = "jupyter", specifier = ">=1.0.0,<2.0.0" },
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{ name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
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@ -432,7 +432,7 @@ requires-dist = [
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[package.metadata.requires-dev]
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codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
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dev = [{ name = "langchain-core", editable = "../../core" }]
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lint = [{ name = "ruff", specifier = ">=0.5,<1.0" }]
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lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
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test = [
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{ name = "langchain-core", editable = "../../core" },
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{ name = "langchain-tests", editable = "../../standard-tests" },
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@ -485,7 +485,7 @@ requires-dist = [
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[package.metadata.requires-dev]
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codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
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test = [{ name = "langchain-core", editable = "../../core" }]
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test-integration = []
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typing = [
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@ -1376,27 +1376,27 @@ wheels = [
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[[package]]
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{ url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
@ -12,8 +12,8 @@ from langchain_huggingface.llms import (
|
||||
|
||||
__all__ = [
|
||||
"ChatHuggingFace",
|
||||
"HuggingFaceEndpointEmbeddings",
|
||||
"HuggingFaceEmbeddings",
|
||||
"HuggingFaceEndpoint",
|
||||
"HuggingFaceEndpointEmbeddings",
|
||||
"HuggingFacePipeline",
|
||||
]
|
||||
|
@ -5,4 +5,4 @@ from langchain_huggingface.chat_models.huggingface import ( # type: ignore[impo
|
||||
_convert_dict_to_message,
|
||||
)
|
||||
|
||||
__all__ = ["ChatHuggingFace", "_convert_dict_to_message", "TGI_MESSAGE", "TGI_RESPONSE"]
|
||||
__all__ = ["TGI_MESSAGE", "TGI_RESPONSE", "ChatHuggingFace", "_convert_dict_to_message"]
|
||||
|
@ -552,7 +552,7 @@ class ChatHuggingFace(BaseChatModel):
|
||||
messages: list[BaseMessage],
|
||||
stop: Optional[list[str]] = None,
|
||||
run_manager: Optional[CallbackManagerForLLMRun] = None,
|
||||
stream: Optional[bool] = None,
|
||||
stream: Optional[bool] = None, # noqa: FBT001
|
||||
**kwargs: Any,
|
||||
) -> ChatResult:
|
||||
should_stream = stream if stream is not None else self.streaming
|
||||
@ -593,7 +593,7 @@ class ChatHuggingFace(BaseChatModel):
|
||||
messages: list[BaseMessage],
|
||||
stop: Optional[list[str]] = None,
|
||||
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
|
||||
stream: Optional[bool] = None,
|
||||
stream: Optional[bool] = None, # noqa: FBT001
|
||||
**kwargs: Any,
|
||||
) -> ChatResult:
|
||||
if _is_huggingface_textgen_inference(self.llm):
|
||||
|
@ -76,7 +76,7 @@ class HuggingFaceEmbeddings(BaseModel, Embeddings):
|
||||
|
||||
if self.model_kwargs.get("backend", "torch") == "ipex":
|
||||
if not is_optimum_intel_available() or not is_ipex_available():
|
||||
msg = f'Backend: ipex {IMPORT_ERROR.format("optimum[ipex]")}'
|
||||
msg = f"Backend: ipex {IMPORT_ERROR.format('optimum[ipex]')}"
|
||||
raise ImportError(msg)
|
||||
|
||||
if is_optimum_intel_version("<", _MIN_OPTIMUM_VERSION):
|
||||
|
@ -149,7 +149,7 @@ class HuggingFacePipeline(BaseLLM):
|
||||
)
|
||||
raise ValueError(msg)
|
||||
|
||||
err_msg = f'Backend: {backend} {IMPORT_ERROR.format(f"optimum[{backend}]")}'
|
||||
err_msg = f"Backend: {backend} {IMPORT_ERROR.format(f'optimum[{backend}]')}"
|
||||
if not is_optimum_intel_available():
|
||||
raise ImportError(err_msg)
|
||||
|
||||
|
@ -111,6 +111,7 @@ ignore = [
|
||||
"RUF012", # Doesn't play well with Pydantic
|
||||
"SLF001", # Private member access
|
||||
"UP007", # pyupgrade: non-pep604-annotation-union
|
||||
"UP045", # pyupgrade: non-pep604-annotation-optional
|
||||
]
|
||||
unfixable = ["B028"] # People should intentionally tune the stacklevel
|
||||
|
||||
|
File diff suppressed because it is too large
Load Diff
Loading…
Reference in New Issue
Block a user