mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-05 09:17:47 +02:00
## Summary
Adds per-node `timeout` support to async StateGraph/Pregel nodes and to
the functional API (`@task` / `@entrypoint`). A timeout caps how long a
single node attempt may run, either as a hard wall-clock budget
(`run_timeout`), or as an idle window that resets on observable progress
(`idle_timeout`), or both. When exceeded, LangGraph raises
`NodeTimeoutError`, clears writes from the failed attempt, and lets the
existing retry policy decide whether to retry.
## Public API
A single `timeout=` kwarg on `add_node`, `@task`, `@entrypoint`, and
`NodeBuilder.set_timeout`. Pass a number/`timedelta` for the simple case
(treated as a hard wall-clock cap), or a `TimeoutPolicy` (in
`langgraph.types`) for finer control:
```python
from datetime import timedelta
from langgraph.types import TimeoutPolicy
# simple: hard wall-clock cap on each attempt
builder.add_node("call_model", call_model, timeout=60)
builder.add_node("call_model", call_model, timeout=timedelta(minutes=2))
# full control
builder.add_node(
"call_model",
call_model,
timeout=TimeoutPolicy(
run_timeout=120, # hard wall-clock cap in seconds, never refreshed
idle_timeout=30, # cap on time without observable progress, units in seconds
refresh_on="auto", # "auto" | "heartbeat"
),
)
```
- `run_timeout`: hard wall-clock cap on a single attempt; never
refreshed.
- `idle_timeout`: progress-resetting cap. Refreshed by writes, stream
output, yielded async stream chunks, child-task scheduling, runtime
stream-writer calls, and any LangChain callback event from descendants
of the node's run. `runtime.heartbeat()` is a manual signal for work
that doesn't naturally emit any of these.
- `refresh_on="heartbeat"` narrows the refresh source to explicit
`runtime.heartbeat()` only — useful when you want a strict idle
definition that isn't reset by chatty subordinates.
For long-running async work that doesn't naturally emit progress:
```python
async def call_model(state: State, runtime: Runtime) -> State:
while still_working:
...
runtime.heartbeat()
return {"messages": [response]}
```
`NodeTimeoutError` subclasses `TimeoutError` and carries `node`,
`timeout`, `run_timeout`, `idle_timeout`, `elapsed`, and `kind` (`"run"`
or `"idle"`). If the node's `retry_policy` permits `TimeoutError` it'll
retry; the timer resets per attempt.
## Why async-only
Sync Python code cannot be safely cancelled in-process, so timeouts only
apply to async nodes/tasks. Sync nodes with a `timeout` are rejected at
compile time (covers direct nodes, wrapped runnables, sequences, and
`RunnableParallel` branches); `run_with_retry` rejects them at runtime
as a safety net.
## What gets cancelled and what doesn't
When a watchdog fires:
1. The attempt scope is closed under a lock so any in-flight
`CONFIG_KEY_SEND` / stream / child-task scheduling that races with the
timeout is dropped atomically.
2. Buffered `task.writes` are cleared so pre-timeout writes from the
failed attempt don't leak into the checkpoint after a retry succeeds.
3. The background `asyncio.Task` is cancelled; its eventual exception is
drained via a done-callback so asyncio doesn't log it.
Only the watchdog's own `TimeoutError` converts to `NodeTimeoutError`,
so user-raised `asyncio.TimeoutError`, built-in `TimeoutError`, and
`NodeTimeoutError` from a child node continue to propagate unchanged.
Child tasks already scheduled before the timeout fired still complete —
they aren't part of the cancelled task's structured cancellation
surface. This is intentional and tested.
## External-watchdog hook
WARNING: THIS API IS IN ALPHA AND SUBJECT TO CHANGE.
`CONFIG_KEY_TIMED_ATTEMPT_OBSERVER` is a per-config callback that
receives lifecycle events for each timed attempt:
- `start` — fired before the proc runs, with `task_id`, `task_name`,
`attempt`, `run_id`, `thread_id`, `checkpoint_ns`, `started_at`, and the
configured `run_timeout_secs` / `idle_timeout_secs` / `refresh_on`.
- `progress` — fired on each progress signal that resets the idle clock,
rate-limited to ~4 events per `idle_timeout` window so token-rate
callbacks don't flood the observer. Carries the same context plus
`progress_at`.
- `finish` — fired with `finished_at`, `status` (`"success"`/`"error"`),
`error_type`, `error_message`. `ParentCommand` and `GraphBubbleUp` are
treated as control flow, not errors.
This lets an orchestrating process listen to `start` + rolling
`progress` to compute its own kill deadline (`progress_at +
idle_timeout_secs`) and hard-kill a worker process if the in-process
cancellation deadlocks. Observer callbacks run in whatever thread fires
them, and any exception they raise is logged and swallowed.
## Implementation Notes
`runtime.heartbeat()` updates the progress timestamp without taking the
guarded write lock. This avoids lock overhead on high-frequency
callback/token paths and accepts a small timestamp race window, which is
negligible for expected coarse idle-timeout configurations.
## Testing
Covers timeout retry behavior, user-raised timeout propagation,
stale-write suppression, stream / callback / heartbeat progress resets,
sync-node rejection, `RunnableParallel` branch validation,
`StateGraph.add_node` behavior, lower-level Pregel behavior, observer
start/progress/finish events, and functional API compatibility.
---------
Co-authored-by: Will Fu-Hinthorn <will@langchain.dev>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
292 lines
9.5 KiB
Python
292 lines
9.5 KiB
Python
from __future__ import annotations
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import ast
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import inspect
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import re
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import textwrap
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from collections.abc import Callable, Sequence
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from functools import partial
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from typing import Any
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from langchain_core.runnables import (
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Runnable,
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RunnableLambda,
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RunnableParallel,
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RunnableSequence,
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)
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from langchain_core.runnables.base import RunnableBindingBase
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from langchain_core.runnables.config import run_in_executor
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from langgraph.checkpoint.base import ChannelVersions
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from typing_extensions import override
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from langgraph._internal._runnable import RunnableCallable, RunnableSeq
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from langgraph._internal._timeout import sync_timeout_unsupported
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from langgraph.pregel.protocol import PregelProtocol
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_SEQUENCE_TYPES = (RunnableSeq, RunnableSequence)
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def get_new_channel_versions(
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previous_versions: ChannelVersions, current_versions: ChannelVersions
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) -> ChannelVersions:
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"""Get subset of current_versions that are newer than previous_versions."""
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if previous_versions:
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version_type = type(next(iter(current_versions.values()), None))
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null_version = version_type() # type: ignore[misc]
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new_versions = {
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k: v
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for k, v in current_versions.items()
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if v > previous_versions.get(k, null_version) # type: ignore[operator]
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}
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else:
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new_versions = current_versions
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return new_versions
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def find_subgraph_pregel(candidate: Runnable) -> PregelProtocol | None:
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from langgraph.pregel import Pregel
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candidates: list[Runnable] = [candidate]
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for c in candidates:
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if (
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isinstance(c, PregelProtocol)
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# subgraphs that disabled checkpointing are not considered
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and (not isinstance(c, Pregel) or c.checkpointer is not False)
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):
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return c
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elif isinstance(c, RunnableSequence) or isinstance(c, RunnableSeq):
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candidates.extend(c.steps)
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elif isinstance(c, RunnableLambda):
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candidates.extend(c.deps)
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elif isinstance(c, RunnableCallable):
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if c.func is not None:
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candidates.extend(
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nl.__self__ if hasattr(nl, "__self__") else nl
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for nl in get_function_nonlocals(c.func)
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)
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elif c.afunc is not None:
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candidates.extend(
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nl.__self__ if hasattr(nl, "__self__") else nl
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for nl in get_function_nonlocals(c.afunc)
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)
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return None
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def _sequence_steps(runnable: Runnable) -> Sequence[Runnable] | None:
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if isinstance(runnable, _SEQUENCE_TYPES):
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return runnable.steps
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return None
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def _parallel_steps(runnable: Runnable) -> Sequence[Runnable] | None:
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if isinstance(runnable, RunnableParallel):
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return tuple(runnable.steps__.values())
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return None
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def _has_method_override(runnable: Runnable, method_name: str) -> bool:
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method = getattr(type(runnable), method_name, None)
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return method is not None and method is not getattr(Runnable, method_name)
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def _is_executor_backed_afunc(afunc: Callable[..., Any] | None) -> bool:
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return isinstance(afunc, partial) and afunc.func is run_in_executor
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def _has_native_async(runnable: Runnable) -> bool:
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if isinstance(runnable, RunnableCallable):
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return runnable.afunc is not None and not _is_executor_backed_afunc(
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runnable.afunc
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)
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if isinstance(runnable, RunnableLambda):
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return bool(getattr(runnable, "afunc", False))
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return _has_method_override(runnable, "ainvoke")
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def _runnable_has_native_async(runnable: Runnable) -> bool:
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"""Return whether a runnable can be idle-timed without known sync code.
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For custom runnable subclasses, an `ainvoke` override is treated as the
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async contract. We do not introspect whether that implementation delegates
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to blocking work internally — e.g. a subclass whose `ainvoke` calls
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`asyncio.to_thread(self.invoke, ...)` will pass this check but the wrapped
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sync work is still uncancellable. Idle-timeout enforcement on such a
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runnable will fire `NodeTimeoutError` correctly, but the background thread
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will keep running until its sync work returns.
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"""
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while isinstance(runnable, RunnableBindingBase):
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runnable = runnable.bound
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steps = _sequence_steps(runnable)
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if steps is None:
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steps = _parallel_steps(runnable)
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if steps is not None:
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return all(_runnable_has_native_async(step) for step in steps)
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# Raw callables and the common composition wrappers created by graph
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# builders fall through here. We do not exhaustively unwrap every Runnable
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# wrapper — wrappers that provide `ainvoke` are treated as owning the async
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# contract.
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return _has_native_async(runnable)
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def validate_timeout_supported(runnable: Runnable, *, name: str) -> None:
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if not _runnable_has_native_async(runnable):
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raise sync_timeout_unsupported(name)
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def get_function_nonlocals(func: Callable) -> list[Any]:
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"""Get the nonlocal variables accessed by a function.
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Args:
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func: The function to check.
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Returns:
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List[Any]: The nonlocal variables accessed by the function.
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"""
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try:
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code = inspect.getsource(func)
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tree = ast.parse(textwrap.dedent(code))
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visitor = FunctionNonLocals()
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visitor.visit(tree)
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values: list[Any] = []
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closure = (
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inspect.getclosurevars(func.__wrapped__)
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if hasattr(func, "__wrapped__") and callable(func.__wrapped__)
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else inspect.getclosurevars(func)
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)
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candidates = {**closure.globals, **closure.nonlocals}
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for k, v in candidates.items():
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if k in visitor.nonlocals:
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values.append(v)
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for kk in visitor.nonlocals:
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if "." in kk and kk.startswith(k):
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vv = v
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for part in kk.split(".")[1:]:
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if vv is None:
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break
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else:
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try:
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vv = getattr(vv, part)
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except AttributeError:
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break
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else:
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values.append(vv)
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except (SyntaxError, TypeError, OSError, SystemError):
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return []
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return values
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class FunctionNonLocals(ast.NodeVisitor):
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"""Get the nonlocal variables accessed of a function."""
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def __init__(self) -> None:
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self.nonlocals: set[str] = set()
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@override
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def visit_FunctionDef(self, node: ast.FunctionDef) -> Any:
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"""Visit a function definition.
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Args:
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node: The node to visit.
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Returns:
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Any: The result of the visit.
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"""
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visitor = NonLocals()
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visitor.visit(node)
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self.nonlocals.update(visitor.loads - visitor.stores)
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@override
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def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef) -> Any:
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"""Visit an async function definition.
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Args:
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node: The node to visit.
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Returns:
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Any: The result of the visit.
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"""
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visitor = NonLocals()
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visitor.visit(node)
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self.nonlocals.update(visitor.loads - visitor.stores)
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@override
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def visit_Lambda(self, node: ast.Lambda) -> Any:
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"""Visit a lambda function.
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Args:
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node: The node to visit.
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Returns:
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Any: The result of the visit.
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"""
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visitor = NonLocals()
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visitor.visit(node)
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self.nonlocals.update(visitor.loads - visitor.stores)
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class NonLocals(ast.NodeVisitor):
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"""Get nonlocal variables accessed."""
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def __init__(self) -> None:
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self.loads: set[str] = set()
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self.stores: set[str] = set()
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@override
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def visit_Name(self, node: ast.Name) -> Any:
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"""Visit a name node.
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Args:
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node: The node to visit.
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Returns:
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Any: The result of the visit.
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"""
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if isinstance(node.ctx, ast.Load):
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self.loads.add(node.id)
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elif isinstance(node.ctx, ast.Store):
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self.stores.add(node.id)
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@override
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def visit_Attribute(self, node: ast.Attribute) -> Any:
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"""Visit an attribute node.
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Args:
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node: The node to visit.
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Returns:
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Any: The result of the visit.
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"""
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if isinstance(node.ctx, ast.Load):
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parent = node.value
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attr_expr = node.attr
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while isinstance(parent, ast.Attribute):
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attr_expr = parent.attr + "." + attr_expr
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parent = parent.value
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if isinstance(parent, ast.Name):
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self.loads.add(parent.id + "." + attr_expr)
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self.loads.discard(parent.id)
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elif isinstance(parent, ast.Call):
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if isinstance(parent.func, ast.Name):
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self.loads.add(parent.func.id)
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else:
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parent = parent.func
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attr_expr = ""
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while isinstance(parent, ast.Attribute):
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if attr_expr:
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attr_expr = parent.attr + "." + attr_expr
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else:
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attr_expr = parent.attr
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parent = parent.value
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if isinstance(parent, ast.Name):
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self.loads.add(parent.id + "." + attr_expr)
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def is_xxh3_128_hexdigest(value: str) -> bool:
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"""Check if the given string matches the format of xxh3_128_hexdigest."""
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return bool(re.fullmatch(r"[0-9a-f]{32}", value))
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