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Download src/backend/sort_queue.py from XuemeiTang/Humanlike_Evaluation: direct link, hf CLI and curl.
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https://huggingface.co/spaces/XuemeiTang/Humanlike_Evaluation/resolve/main/src/backend/sort_queue.py
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hf download hf://spaces/XuemeiTang/Humanlike_Evaluation/src/backend/sort_queue.py
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curl -L -o sort_queue.py https://huggingface.co/spaces/XuemeiTang/Humanlike_Evaluation/resolve/main/src/backend/sort_queue.py
958 Bytes
| from dataclasses import dataclass | |
| from huggingface_hub import HfApi | |
| from src.backend.manage_requests import EvalRequest | |
| class ModelMetadata: | |
| likes: int = 0 | |
| size: int = 15 | |
| def sort_models_by_priority(api: HfApi, models: list[EvalRequest]) -> list[EvalRequest]: | |
| private_models = [model for model in models if model.private] | |
| public_models = [model for model in models if not model.private] | |
| return sort_by_submit_date(private_models) + sort_by_submit_date(public_models) | |
| def sort_by_submit_date(eval_requests: list[EvalRequest]) -> list[EvalRequest]: | |
| return sorted(eval_requests, key=lambda x: x.submitted_time, reverse=False) | |
| def sort_by_size(eval_requests: list[EvalRequest]) -> list[EvalRequest]: | |
| return sorted(eval_requests, key=lambda x: x.params, reverse=False) | |
| def sort_by_likes(eval_requests: list[EvalRequest]) -> list[EvalRequest]: | |
| return sorted(eval_requests, key=lambda x: x.likes, reverse=False) | |