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hao-ai-lab-FastVideo/v2/_types.py
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SolitaryThinker 4ff33a28b7 [misc] v2: simplify docstrings/comments + drop deleted-design-doc citations
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.
2026-07-04 17:15:34 +00:00

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Python

"""Shared lightweight type aliases for v2.
The core (card/loop/runtime/cache/parity/program/request/training) is numpy-only
and CPU-testable, so tensors are typed structurally as ``TensorLike``: a
``numpy.ndarray`` on the CPU test path, a ``torch.Tensor`` on GPU. The core never
imports torch — only model-component adapters do, lazily (see
``v2/card/components.py``).
"""
from __future__ import annotations
from typing import Any
# A tensor-like object. numpy.ndarray (CPU tests) or torch.Tensor (GPU). The core
# only relies on duck-typed ops provided by the active backend (see card/backend).
TensorLike = Any
Shape = tuple[int, ...]
# A stable content hash (hex) used for cache keys and provenance.
Hash = str