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https://github.com/langchain-ai/langgraph.git
synced 2026-09-12 12:47:53 +02:00
Remove old checkpoint test fixtures (#4814)
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@@ -55,7 +55,6 @@ from langgraph.store.memory import InMemoryStore
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from langgraph.types import Command, Interrupt, interrupt
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from langgraph.utils.config import get_stream_writer
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from tests.any_str import AnyStr
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from tests.conftest import IS_LANGCHAIN_CORE_030_OR_GREATER
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from tests.messages import _AnyIdHumanMessage, _AnyIdToolMessage
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from tests.model import FakeToolCallingModel
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@@ -456,10 +455,6 @@ def test__infer_handled_types() -> None:
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_infer_handled_types(handler)
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@pytest.mark.skipif(
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not IS_LANGCHAIN_CORE_030_OR_GREATER,
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reason="Pydantic v1 is required for this test to pass in langchain-core < 0.3",
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)
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@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
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def test_react_agent_with_structured_response(version: str) -> None:
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class WeatherResponse(BaseModel):
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@@ -496,10 +491,6 @@ class CustomStatePydantic(AgentStatePydantic):
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user_name: Optional[str] = None
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@pytest.mark.skipif(
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not IS_LANGCHAIN_CORE_030_OR_GREATER,
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reason="Langchain core 0.3.0 or greater is required",
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)
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@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
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@pytest.mark.parametrize("state_schema", [CustomState, CustomStatePydantic])
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def test_react_agent_update_state(
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@@ -565,10 +556,6 @@ def test_react_agent_update_state(
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assert tool_message.name == "get_user_name"
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@pytest.mark.skipif(
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not IS_LANGCHAIN_CORE_030_OR_GREATER,
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reason="Langchain core 0.3.0 or greater is required",
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)
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@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
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def test_react_agent_parallel_tool_calls(
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sync_checkpointer: BaseCheckpointSaver, version: str
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@@ -832,10 +819,6 @@ def test_create_react_agent_inject_vars(
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assert result["foo"] == 2
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@pytest.mark.skipif(
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not IS_LANGCHAIN_CORE_030_OR_GREATER,
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reason="Langchain core 0.3.0 or greater is required",
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)
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def test_tool_node_inject_store() -> None:
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store = InMemoryStore()
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namespace = ("test",)
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