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| from elbench.basic_education_runtime.entity import BasicEducationRuntimeConfig | |
| from elbench.basic_education_runtime.utils import extract | |
| from pathlib import Path | |
| from typing import Dict, Any | |
| import yaml | |
| CONFIG: BasicEducationRuntimeConfig | |
| def load_conf(path: Path): | |
| if isinstance(path, str): | |
| path = Path(path) | |
| if not path.exists(): | |
| return | |
| global CONFIG | |
| data: Dict[str, Dict[str, Any]] = {} | |
| try: | |
| with open(path, "r", encoding="utf8") as f: | |
| t = f.read() | |
| for d in yaml.safe_load_all(t): | |
| data = d | |
| # 缂栫爜閿欒 | |
| except UnicodeDecodeError: | |
| with open(path, "r", encoding="gbk") as f: | |
| t = f.read() | |
| for d in yaml.safe_load_all(t): | |
| data = d | |
| n_data = {} | |
| for k in data.keys(): | |
| c = extract(data, k) | |
| n_data[k] = c | |
| if n_data["globals"].get("memory", {}).get("path", None) is None: | |
| if "memory" not in n_data["globals"]: | |
| n_data["globals"]["memory"] = {} | |
| n_data["globals"]["memory"]["path"] = path.parent / path.stem | |
| CONFIG = BasicEducationRuntimeConfig(**n_data) | |
| if CONFIG.evaluation is not None: | |
| if CONFIG.evaluation.name is None: | |
| CONFIG.evaluation.name = path.stem | |