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chore: bump locks, lint (#35985)

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This commit is contained in:
Mason Daugherty
2026-03-16 23:59:08 -04:00
committed by GitHub
parent 69a7b9c808
commit 2bad58a809
4 changed files with 20 additions and 10 deletions
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4
libs/langchain_v1/uv.lock generated
View File

@@ -2019,7 +2019,7 @@ typing = [
[[package]]
name = "langchain-anthropic"
version = "1.3.4"
version = "1.3.5"
source = { editable = "../partners/anthropic" }
dependencies = [
{ name = "anthropic" },
@@ -2151,7 +2151,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.18"
version = "1.2.19"
source = { editable = "../core" }
dependencies = [
{ name = "jsonpatch" },

20
libs/standard-tests/langchain_tests/integration_tests/chat_models.py
View File

@@ -2583,7 +2583,9 @@ class ChatModelIntegrationTests(ChatModelTests):
pytest.skip("Model does not support PDF inputs.")
url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
pdf_data = base64.b64encode(httpx.get(url, timeout=10.0).content).decode("utf-8")
pdf_data = base64.b64encode(httpx.get(url, timeout=10.0).content).decode(
"utf-8"
)
message = HumanMessage(
[
@@ -2781,7 +2783,9 @@ class ChatModelIntegrationTests(ChatModelTests):
pytest.skip("Model does not support image message.")
image_url = "https://raw.githubusercontent.com/langchain-ai/docs/4d11d08b6b0e210bd456943f7a22febbd168b543/src/images/agentic-rag-output.png"
image_data = base64.b64encode(httpx.get(image_url, timeout=10.0).content).decode("utf-8")
image_data = base64.b64encode(
httpx.get(image_url, timeout=10.0).content
).decode("utf-8")
# OpenAI CC format, base64 data
message = HumanMessage(
@@ -2887,7 +2891,9 @@ class ChatModelIntegrationTests(ChatModelTests):
pytest.skip("Model does not support image tool message.")
image_url = "https://raw.githubusercontent.com/langchain-ai/docs/4d11d08b6b0e210bd456943f7a22febbd168b543/src/images/agentic-rag-output.png"
image_data = base64.b64encode(httpx.get(image_url, timeout=10.0).content).decode("utf-8")
image_data = base64.b64encode(
httpx.get(image_url, timeout=10.0).content
).decode("utf-8")
# OpenAI CC format, base64 data
oai_format_message = ToolMessage(
@@ -2986,7 +2992,9 @@ class ChatModelIntegrationTests(ChatModelTests):
pytest.skip("Model does not support PDF tool message.")
url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
pdf_data = base64.b64encode(httpx.get(url, timeout=10.0).content).decode("utf-8")
pdf_data = base64.b64encode(httpx.get(url, timeout=10.0).content).decode(
"utf-8"
)
tool_message = ToolMessage(
content_blocks=[
@@ -3122,7 +3130,9 @@ class ChatModelIntegrationTests(ChatModelTests):
]
if self.supports_image_inputs:
image_url = "https://raw.githubusercontent.com/langchain-ai/docs/4d11d08b6b0e210bd456943f7a22febbd168b543/src/images/agentic-rag-output.png"
image_data = base64.b64encode(httpx.get(image_url, timeout=10.0).content).decode("utf-8")
image_data = base64.b64encode(
httpx.get(image_url, timeout=10.0).content
).decode("utf-8")
human_content.append(
{
"type": "image",

4
libs/text-splitters/langchain_text_splitters/base.py
View File

@@ -227,7 +227,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
cls,
encoding_name: str = "gpt2",
model_name: str | None = None,
allowed_special: Literal["all"] | AbstractSet[str] = None,
allowed_special: Literal["all"] | AbstractSet[str] | None = None,
disallowed_special: Literal["all"] | Collection[str] = "all",
**kwargs: Any,
) -> Self:
@@ -304,7 +304,7 @@ class TokenTextSplitter(TextSplitter):
self,
encoding_name: str = "gpt2",
model_name: str | None = None,
allowed_special: Literal["all"] | AbstractSet[str] = None,
allowed_special: Literal["all"] | AbstractSet[str] | None = None,
disallowed_special: Literal["all"] | Collection[str] = "all",
**kwargs: Any,
) -> None:

2
libs/text-splitters/uv.lock generated
View File

@@ -1184,7 +1184,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.18"
version = "1.2.19"
source = { editable = "../core" }
dependencies = [
{ name = "jsonpatch" },