Sweep all 296 v2 modules: simplify verbose docstrings/comments and remove 376 dangling "(design_vN §X)" citations to the now-deleted design docs (v2/README.md is the source of truth). Comment/docstring-only — AST-verified code-identical; the CPU suite holds at 237 passed / 5 pre-existing. Also applies yapf + ruff --fix auto-fixes (import ordering, forward-ref annotation de-quoting under `from __future__ import annotations`; behavior- neutral, suite-confirmed) and adds the legitimate domain terms mot/clen/te to the codespell ignore-list. Remaining ruff (24) + mypy (68 no-untyped-call) findings are pre-existing v2 debt, untouched here.
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
"""BehaviorRecord — captured at generation time on the serving loop.
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The rollout forward is the serve forward plus capture. Full routing capture is GB/sample for omni,
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so it is opt-in. ``logprobs`` is None for likelihood-free methods (DiffusionNFT).
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from enum import Enum
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from typing import Any
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from v2._enums import ConsistencyLevel
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class TrajectoryStatus(str, Enum):
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COMPLETED = "completed"
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TRUNCATED = "truncated"
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ABORTED = "aborted"
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@dataclass
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class BehaviorRecord:
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request_id: str
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model_id: str
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loop_id: str
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weights_version: str = "v0"
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adapter_versions: dict[str, str] = field(default_factory=dict)
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seeds: dict[str, int] = field(default_factory=dict)
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timesteps: list[float] = field(default_factory=list)
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sigmas: list[float] = field(default_factory=list)
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latents: Any = None # final clean latents (or refs if too large)
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logprobs: list[float] | None = None # None for likelihood-free methods (NFT)
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sampled_tokens: list[int] = field(default_factory=list)
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guidance: dict[str, float] = field(default_factory=dict)
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reward_inputs: dict[str, Any] = field(default_factory=dict)
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reward_outputs: dict[str, float] = field(default_factory=dict)
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precision: str = "float32"
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parallel_plan_hash: str = ""
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attention_backend: str = "dense"
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deterministic_flags: dict[str, bool] = field(default_factory=dict)
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consistency_level: ConsistencyLevel = ConsistencyLevel.C1
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status: TrajectoryStatus = TrajectoryStatus.COMPLETED
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