Add virtual memory support: PE_MMU, VA allocator, fabric MmuMapMsg
Implement VA/MMU layer (ADR-0011 Phase 1) enabling Triton kernels to use contiguous virtual addresses on sharded tensors. Key changes: - PE_MMU component: hybrid inbox (MmuMapMsg) + sync translate() for PE_DMA - VirtualAllocator + PEMemAllocator: free-list with coalescing - MmuMapMsg/MmuUnmapMsg fabric path with SIP-level routing - DPPolicy-based mapping: replicate=local, sharded=broadcast - Tensor lifecycle: del + weakref cleanup, context manager - Rename: TensorHandle.pa→addr, DmaReadCmd.src_pa→src_addr, ctx→torch Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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"""Tests for PE_MMU component integration and MmuMapMsg fabric path.
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Validates:
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T15-a. PE_MMU component registered in ComponentRegistry
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T15-b. PE_MMU component receives MmuMapMsg via inbox, updates page table
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T15-c. PE_DMA translates VA→PA via mmu before routing
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T16. MmuMapMsg/MmuUnmapMsg message types defined with correct fields
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T17. PE_CPU passes VA (not PA) to kernel when VA is available
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T18. End-to-end: deploy (MmuMapMsg broadcast) → kernel launch → DMA with VA
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"""
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import pytest
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try:
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from kernbench.runtime_api.kernel import MmuMapMsg, MmuUnmapMsg
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except ImportError:
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pytest.skip("MmuMapMsg/MmuUnmapMsg not yet defined (Phase 2)", allow_module_level=True)
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# ── T16. MmuMapMsg / MmuUnmapMsg message types ──────────────────────
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def test_mmu_map_msg_fields():
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"""MmuMapMsg carries VA→PA mapping entries for broadcast."""
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msg = MmuMapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=(
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{"va": 0x1_0000_0000, "pa": 0xA000_0000, "size": 4096},
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{"va": 0x1_0000_1000, "pa": 0xB000_0000, "size": 4096},
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),
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target_cubes="all",
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target_pe="all",
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)
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assert msg.msg_type == "mmu_map"
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assert len(msg.entries) == 2
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assert msg.entries[0]["va"] == 0x1_0000_0000
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assert msg.entries[0]["pa"] == 0xA000_0000
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assert msg.entries[0]["size"] == 4096
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def test_mmu_map_msg_immutable():
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"""MmuMapMsg is frozen."""
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msg = MmuMapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=(),
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target_cubes="all",
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target_pe="all",
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)
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with pytest.raises(AttributeError):
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msg.entries = () # type: ignore[misc]
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def test_mmu_unmap_msg_fields():
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"""MmuUnmapMsg carries VA ranges to unmap."""
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msg = MmuUnmapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=(
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{"va": 0x1_0000_0000, "size": 4096},
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),
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target_cubes="all",
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target_pe="all",
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)
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assert msg.msg_type == "mmu_unmap"
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assert len(msg.entries) == 1
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assert msg.entries[0]["va"] == 0x1_0000_0000
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# ── T15-a. PE_MMU component registry ────────────────────────────────
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def test_pe_mmu_registry():
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"""pe_mmu_v1 impl resolves in ComponentRegistry."""
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from kernbench.components.base import ComponentRegistry
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from kernbench.components.impls.pe_mmu import PeMmuComponent
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from kernbench.topology.types import Node
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node = Node(
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id="sip0.cube0.pe0.pe_mmu",
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kind="pe_mmu",
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impl="pe_mmu_v1",
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pos_mm=None,
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attrs={"tlb_overhead_ns": 0.5},
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)
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comp = ComponentRegistry.create(node)
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assert isinstance(comp, PeMmuComponent)
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# ── T15-b. PE_MMU receives MmuMapMsg and updates page table ─────────
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def test_pe_mmu_processes_map_msg():
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"""PE_MMU component receives MmuMapMsg → translate works."""
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import simpy
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from kernbench.components.impls.pe_mmu import PeMmuComponent
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from kernbench.sim_engine.transaction import Transaction
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from kernbench.topology.types import Node
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env = simpy.Environment()
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node = Node(
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id="sip0.cube0.pe0.pe_mmu",
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kind="pe_mmu",
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impl="pe_mmu_v1",
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pos_mm=None,
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attrs={"tlb_overhead_ns": 0.5, "page_size": 4096},
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)
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comp = PeMmuComponent(node)
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comp.in_ports["src"] = simpy.Store(env)
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comp.start(env)
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# Submit MmuMapMsg via inbox
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map_msg = MmuMapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=(
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{"va": 0x1_0000_0000, "pa": 0xABCD_0000, "size": 4096},
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),
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target_cubes="all",
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target_pe="all",
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)
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done = env.event()
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txn = Transaction(
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request=map_msg,
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path=["sip0.cube0.pe0.pe_mmu"],
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step=0, nbytes=0, done=done,
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)
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def inject():
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yield comp._inbox.put(txn)
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env.process(inject())
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env.run(until=100)
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# After processing, the MMU's translate should work
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from kernbench.policy.address.pe_mmu import PeMMU
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mmu = comp.mmu # the underlying PeMMU utility object
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assert isinstance(mmu, PeMMU)
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assert mmu.translate(0x1_0000_0000) == 0xABCD_0000
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# ── T15-c. PE_DMA uses MMU translate ────────────────────────────────
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def test_pe_dma_translates_va():
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"""PE_DMA.handle_command calls mmu.translate(va) → PA before routing.
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This test validates the contract: after Phase 2, DmaReadCmd carries VA,
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and PE_DMA must translate it to PA via the MMU before resolving the
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HBM node path.
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"""
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# This test validates the interface contract. Full integration test
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# requires the engine wiring which is validated in test_engine.
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# Here we check that PE_DMA has an mmu attribute it can call.
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from kernbench.components.impls.pe_dma import PeDmaComponent
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from kernbench.topology.types import Node
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node = Node(
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id="sip0.cube0.pe0.pe_dma",
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kind="pe_dma",
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impl="pe_dma_v1",
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pos_mm=None,
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attrs={"rd_engines": 1, "wr_engines": 1},
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)
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comp = PeDmaComponent(node)
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# PE_DMA must have a way to access the MMU (via ctx or direct reference)
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# The exact wiring mechanism is flexible, but the attribute must exist
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assert hasattr(comp, '_mmu') or hasattr(comp, 'mmu') or (
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hasattr(comp, 'ctx') and comp.ctx is not None
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), "PE_DMA must have access to PE_MMU for VA translation"
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# ── T17. PE_CPU passes VA to kernel ──────────────────────────────────
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def test_pe_cpu_uses_va_base_from_tensor_arg():
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"""PE_CPU should use TensorArg.va_base for kernel pointer args.
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After Phase 2, TensorArg carries va_base alongside shards.
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PE_CPU extracts va_base and passes it to the kernel function
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so kernels operate on VA (not PA).
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"""
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from kernbench.runtime_api.kernel import TensorArg, TensorArgShard
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shard = TensorArgShard(sip=0, cube=0, pe=0, pa=0x1000,
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nbytes=4096, offset_bytes=0)
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targ = TensorArg(shards=(shard,), va_base=0x1_0000_0000)
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# PE_CPU should use targ.va_base for kernel pointer arg
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assert targ.va_base == 0x1_0000_0000
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# PA still accessible via shard for direct-PA operations (IPCQ etc.)
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assert shard.pa == 0x1000
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# ── T18. MmuMapMsg broadcast pattern ─────────────────────────────────
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def test_mmu_map_msg_broadcast_target():
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"""MmuMapMsg with target_pe='all' is a broadcast to all PEs."""
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msg = MmuMapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=({"va": 0x1000, "pa": 0x2000, "size": 4096},),
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target_cubes="all",
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target_pe="all",
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)
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assert msg.target_pe == "all"
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assert msg.target_cubes == "all"
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def test_mmu_map_msg_same_entries_all_pes():
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"""All PEs in a broadcast receive identical entries (not per-PE splits)."""
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entries = (
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{"va": 0x1_0000_0000, "pa": 0xA000_0000, "size": 8192},
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{"va": 0x1_0000_2000, "pa": 0xB000_0000, "size": 8192},
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)
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msg = MmuMapMsg(
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correlation_id="c0",
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request_id="r0",
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entries=entries,
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target_cubes="all",
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target_pe="all",
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)
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# The message carries the full mapping — every PE receives exactly this
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assert msg.entries == entries
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