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multi_agent_chat/middleware: tighten parallel-keying test with heterogeneous bundles and per-slice assertions
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1 changed files with 92 additions and 21 deletions
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@ -13,11 +13,17 @@ pregel vs. our subagent bridge).
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This test reproduces the production failure with a real two-task parallel
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``Send`` parent graph, exercises the full resume cycle, and asserts both
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subagents complete cleanly.
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subagents complete cleanly with their per-subagent slice intact.
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Bundle sizes are chosen heterogeneous (``2`` and ``3``) so the assertions
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also catch slicer arithmetic regressions (e.g., ``cursor += 1`` instead of
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``cursor += action_count``). A symmetric ``(1, 1)`` configuration would
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silently pass such a bug because the slices would coincide.
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"""
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from __future__ import annotations
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import json
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from typing import Annotated
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import pytest
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@ -53,19 +59,31 @@ class _DispatchState(TypedDict, total=False):
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messages: Annotated[list, add_messages]
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tcid: str
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desc: str
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subtype: str
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def _build_pausing_subagent(checkpointer: InMemorySaver):
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def _build_pausing_subagent(checkpointer: InMemorySaver, *, action_count: int):
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"""Subagent that pauses with an ``action_count``-action HITL bundle.
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On resume it captures the decision payload as a JSON-serialized
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``AIMessage`` content so the test can inspect exactly which slice
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reached this subagent — the strongest assertion against slicer
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routing regressions.
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"""
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def approve_node(_state):
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decision = interrupt(
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{
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"action_requests": [
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{"name": "do_thing", "args": {"x": 1}, "description": ""}
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{"name": f"act_{i}", "args": {"i": i}, "description": ""}
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for i in range(action_count)
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],
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"review_configs": [{}],
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"review_configs": [{} for _ in range(action_count)],
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}
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)
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return {"messages": [AIMessage(content=f"got:{decision}")]}
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return {
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"messages": [AIMessage(content=json.dumps(decision, sort_keys=True))]
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}
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g = StateGraph(_SubState)
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g.add_node("approve", approve_node)
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@ -79,8 +97,14 @@ def _parent_graph_dispatching_two_tasks_via_send(
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):
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def fanout_edge(_state) -> list[Send]:
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return [
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Send("call_task", {"tcid": tool_call_id_a, "desc": "approve A"}),
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Send("call_task", {"tcid": tool_call_id_b, "desc": "approve B"}),
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Send(
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"call_task",
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{"tcid": tool_call_id_a, "desc": "approve A", "subtype": "agent-a"},
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),
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Send(
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"call_task",
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{"tcid": tool_call_id_b, "desc": "approve B", "subtype": "agent-b"},
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),
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]
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async def call_task(state: _DispatchState, config: RunnableConfig):
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@ -93,7 +117,7 @@ def _parent_graph_dispatching_two_tasks_via_send(
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store=None,
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)
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return await task_tool.coroutine(
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description=state["desc"], subagent_type="approver", runtime=rt
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description=state["desc"], subagent_type=state["subtype"], runtime=rt
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)
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g = StateGraph(_DispatchState)
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@ -103,6 +127,22 @@ def _parent_graph_dispatching_two_tasks_via_send(
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return g.compile(checkpointer=checkpointer)
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def _build_two_subagents_task_tool(checkpointer: InMemorySaver):
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"""Register two subagents under distinct names with heterogeneous bundle sizes.
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Sub-A: 2-action bundle. Sub-B: 3-action bundle. Both ``> 1`` so the slice
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arithmetic is sensitive to off-by-one mistakes.
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"""
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sub_a = _build_pausing_subagent(checkpointer, action_count=2)
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sub_b = _build_pausing_subagent(checkpointer, action_count=3)
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return build_task_tool_with_parent_config(
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[
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{"name": "agent-a", "description": "first", "runnable": sub_a},
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{"name": "agent-b", "description": "second", "runnable": sub_b},
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]
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)
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@pytest.mark.asyncio
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async def test_parallel_resume_with_command_resume_scalar_raises_lg_runtime_error():
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"""Confirm the production failure mode: scalar resume on multi-pending state explodes.
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@ -112,10 +152,7 @@ async def test_parallel_resume_with_command_resume_scalar_raises_lg_runtime_erro
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``stream_resume_chat``. Until then, the keyed form is mandatory.
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"""
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checkpointer = InMemorySaver()
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subagent = _build_pausing_subagent(checkpointer)
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task_tool = build_task_tool_with_parent_config(
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[{"name": "approver", "description": "approves", "runnable": subagent}]
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)
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task_tool = _build_two_subagents_task_tool(checkpointer)
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parent = _parent_graph_dispatching_two_tasks_via_send(
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task_tool,
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tool_call_id_a="parent-tcid-A",
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@ -139,15 +176,17 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
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Mirrors what ``stream_resume_chat`` does: collects pending interrupts,
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slices the flat decisions list by ``tool_call_id``, builds the
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``Interrupt.id``-keyed map for ``Command(resume=...)``, and resumes.
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The expected post-condition is that both subagents pop their own
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decision (via the ``surfsense_resume_value`` side-channel) and run to
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completion — no RuntimeError, no leaked pending interrupts.
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Post-conditions checked:
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1. The langgraph-keyed map has exactly one entry per pending interrupt
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id (``str`` keys, count matches).
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2. Both subagents complete with no leftover pending interrupts.
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3. **Each subagent receives its exact slice in the original order** —
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this catches slicer arithmetic regressions (e.g., ``cursor += 1``)
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that wouldn't surface by checking only "no leftover pending".
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"""
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checkpointer = InMemorySaver()
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subagent = _build_pausing_subagent(checkpointer)
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task_tool = build_task_tool_with_parent_config(
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[{"name": "approver", "description": "approves", "runnable": subagent}]
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)
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task_tool = _build_two_subagents_task_tool(checkpointer)
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tcid_a = "parent-tcid-A"
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tcid_b = "parent-tcid-B"
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parent = _parent_graph_dispatching_two_tasks_via_send(
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@ -166,7 +205,20 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
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assert len(paused_state.interrupts) == 2, "fixture broken: expected 2 paused subagents"
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pending = collect_pending_tool_calls(paused_state)
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flat_decisions = [{"type": "approve"}, {"type": "approve"}]
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assert dict(pending) == {tcid_a: 2, tcid_b: 3}, (
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f"fixture broken: heterogeneous bundle sizes not detected; got {pending!r}"
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)
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a_d0 = {"type": "approve"}
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a_d1 = {"type": "reject", "message": "A[1] is redundant"}
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b_d0 = {
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"type": "edit",
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"edited_action": {"name": "act_0", "args": {"i": 0, "edited": True}},
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}
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b_d1 = {"type": "approve"}
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b_d2 = {"type": "reject", "message": "B[2] needs more context"}
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flat_decisions = [a_d0, a_d1, b_d0, b_d1, b_d2]
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by_tool_call_id = slice_decisions_by_tool_call(flat_decisions, pending)
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lg_resume_map = build_lg_resume_map(paused_state, by_tool_call_id)
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@ -177,7 +229,6 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
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f"keys must be Interrupt.id strings, got {[type(k).__name__ for k in lg_resume_map]}"
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)
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# Wire the side-channel exactly like ``stream_resume_chat`` does.
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config["configurable"]["surfsense_resume_value"] = by_tool_call_id
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await parent.ainvoke(Command(resume=lg_resume_map), config)
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@ -188,6 +239,26 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
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f"{final_state.interrupts!r}"
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)
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payloads: list[dict] = []
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for msg in final_state.values.get("messages", []) or []:
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content = getattr(msg, "content", None)
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if isinstance(content, str):
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try:
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payloads.append(json.loads(content))
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except json.JSONDecodeError:
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pass
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expected_a = {"decisions": [a_d0, a_d1]}
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expected_b = {"decisions": [b_d0, b_d1, b_d2]}
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assert expected_a in payloads, (
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f"REGRESSION: sub-A did not receive its 2-decision slice in order; "
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f"payloads seen: {payloads!r}"
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)
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assert expected_b in payloads, (
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f"REGRESSION: sub-B did not receive its 3-decision slice in order; "
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f"payloads seen: {payloads!r}"
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)
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def test_build_lg_resume_map_returns_empty_when_no_interrupts_carry_stamps():
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"""Unstamped interrupts can't be routed; we don't fabricate keys for them.
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