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chore: import upstream snapshot with attribution
2026-07-13 13:22:06 +08:00

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Python

"""Shared helpers for model-loader state-dict fixtures.
Mirrors `tests/backend/patches/lora_conversions/lora_state_dicts/utils.py`: a fixture module
exports `state_dict_keys: dict[str, list[int]]` (key name -> shape, captured from a real
checkpoint) and tests expand it to a mock state dict with `keys_to_mock_state_dict()`.
"""
import torch
def keys_to_mock_state_dict(keys: dict[str, list[int]]) -> dict[str, torch.Tensor]:
"""Build a state dict of empty tensors from a {key: shape} mapping."""
return {k: torch.empty(shape) for k, shape in keys.items()}