import importlib from pathlib import Path def load_module_from_py_file(py_file: str) -> object: """ This method loads a module from a py file which is not in the Python path """ module_name = Path(py_file).name loader = importlib.machinery.SourceFileLoader(module_name, py_file) spec = importlib.util.spec_from_loader(module_name, loader) module = importlib.util.module_from_spec(spec) loader.exec_module(module) return module def get_custom_dataset(dataset_config, tokenizer, split: str): if ":" in dataset_config.file: module_path, func_name = dataset_config.file.split(":") else: module_path, func_name = dataset_config.file, "get_custom_dataset" if not module_path.endswith(".py"): raise ValueError(f"Dataset file {module_path} is not a .py file.") module_path = Path(module_path) if not module_path.is_file(): raise FileNotFoundError(f"Dataset py file {module_path.as_posix()} does not exist or is not a file.") module = load_module_from_py_file(module_path.as_posix()) try: return getattr(module, func_name)(dataset_config, tokenizer, split) except AttributeError as e: print(f"It seems like the given method name ({func_name}) is not present in the dataset .py file ({module_path.as_posix()}).") raise e def get_data_collator(dataset_processer,dataset_config): if ":" in dataset_config.file: module_path, func_name = dataset_config.file.split(":") else: module_path, func_name = dataset_config.file, "get_data_collator" if not module_path.endswith(".py"): raise ValueError(f"Dataset file {module_path} is not a .py file.") module_path = Path(module_path) if not module_path.is_file(): raise FileNotFoundError(f"Dataset py file {module_path.as_posix()} does not exist or is not a file.") module = load_module_from_py_file(module_path.as_posix()) try: return getattr(module, func_name)(dataset_processer) except AttributeError as e: print(f"Can not find the custom data_collator in the dataset.py file ({module_path.as_posix()}).") print("Using the default data_collator instead.") return None