From d0e04bc947b7b98ec0b491410126ef33aa3e2130 Mon Sep 17 00:00:00 2001 From: Mason Daugherty Date: Tue, 5 Aug 2025 20:40:21 -0400 Subject: [PATCH] lint --- .../integration_tests/chat_models_v1.py | 24 ++++++++++--------- libs/standard-tests/uv.lock | 4 ++-- 2 files changed, 15 insertions(+), 13 deletions(-) diff --git a/libs/standard-tests/langchain_tests/integration_tests/chat_models_v1.py b/libs/standard-tests/langchain_tests/integration_tests/chat_models_v1.py index e09bd204f3a..16568b3ff62 100644 --- a/libs/standard-tests/langchain_tests/integration_tests/chat_models_v1.py +++ b/libs/standard-tests/langchain_tests/integration_tests/chat_models_v1.py @@ -65,7 +65,7 @@ from langchain_core.v1.messages import ( from pydantic import BaseModel, Field from pydantic.v1 import BaseModel as BaseModelV1 from pydantic.v1 import Field as FieldV1 -from pytest_benchmark.fixture import BenchmarkFixture +from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import-untyped] from vcr.cassette import Cassette from langchain_tests.unit_tests.chat_models_v1 import ChatModelV1Tests @@ -692,7 +692,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): AIMessage("hello"), HumanMessage("how are you"), ] - result = model.invoke(messages) + result = model.invoke(messages) # type: ignore[arg-type] assert result is not None assert isinstance(result, AIMessage) assert len(result.content) > 0 @@ -733,7 +733,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): AIMessage("hello"), HumanMessage("how are you"), ] - result = model.invoke(messages) + result = model.invoke(messages) # type: ignore[arg-type] assert result is not None assert isinstance(result, AIMessage) assert len(result.content) > 0 @@ -1105,7 +1105,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): # Test stream() full: Optional[AIMessageChunk] = None for chunk in model_with_tools.stream(query): - full = chunk if full is None else full + chunk + full = chunk if full is None else full + chunk # type: ignore[assignment] assert isinstance(full, AIMessage) _validate_tool_call_message(full) @@ -1163,7 +1163,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): # Test astream() full: Optional[AIMessageChunk] = None async for chunk in model_with_tools.astream(query): - full = chunk if full is None else full + chunk + full = chunk if full is None else full + chunk # type: ignore[assignment] assert isinstance(full, AIMessage) _validate_tool_call_message(full) @@ -1294,7 +1294,9 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): json.dumps({"result": 3}), tool_call_id="abc123", status="success" ), ] - result_string_content = model_with_tools.invoke(messages_string_content) # TODO + result_string_content = model_with_tools.invoke( + messages_string_content # type: ignore[arg-type] + ) # TODO assert isinstance(result_string_content, AIMessage) def test_tool_message_histories_list_content( @@ -1502,7 +1504,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): full: Optional[AIMessageChunk] = None for chunk in model_with_tools.stream(query): - full = chunk if full is None else full + chunk + full = chunk if full is None else full + chunk # type: ignore[assignment] assert isinstance(full, AIMessage) _validate_tool_call_message_no_args(full) @@ -1559,7 +1561,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): status="error", ), ] - result = model_with_tools.invoke(messages) + result = model_with_tools.invoke(messages) # type: ignore[arg-type] assert isinstance(result, AIMessage) def test_structured_few_shot_examples( @@ -1628,7 +1630,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): ) messages = [*few_shot_messages, HumanMessage("What is 3 + 4")] - result = model_with_tools.invoke(messages) + result = model_with_tools.invoke(messages) # type: ignore[arg-type] assert isinstance(result, AIMessage) @pytest.mark.parametrize("schema_type", ["pydantic", "typeddict", "json_schema"]) @@ -1668,7 +1670,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): if not self.has_structured_output: pytest.skip("Test requires structured output.") - schema, validation_function = _get_joke_class(schema_type) + schema, validation_function = _get_joke_class(schema_type) # type: ignore[arg-type] chat = model.with_structured_output(schema, **self.structured_output_kwargs) mock_callback = MagicMock() mock_callback.on_chat_model_start = MagicMock() @@ -1749,7 +1751,7 @@ class ChatModelV1IntegrationTests(ChatModelV1Tests): if not self.has_structured_output: pytest.skip("Test requires structured output.") - schema, validation_function = _get_joke_class(schema_type) + schema, validation_function = _get_joke_class(schema_type) # type: ignore[arg-type] chat = model.with_structured_output(schema, **self.structured_output_kwargs) ainvoke_callback = _TestCallbackHandler() diff --git a/libs/standard-tests/uv.lock b/libs/standard-tests/uv.lock index 9a0d8a21d3c..63f0b9cffc7 100644 --- a/libs/standard-tests/uv.lock +++ b/libs/standard-tests/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'", @@ -305,7 +305,7 @@ wheels = [ [[package]] name = "langchain-core" -version = "0.3.72" +version = "0.4.0.dev0" source = { editable = "../core" } dependencies = [ { name = "jsonpatch" },