Source code for immuneML.preprocessing.Preprocessor

import abc
from pathlib import Path

from immuneML.data_model.dataset.RepertoireDataset import RepertoireDataset

[docs]class Preprocessor(metaclass=abc.ABCMeta):
[docs] @staticmethod @abc.abstractmethod def process(dataset: RepertoireDataset, params: dict) -> RepertoireDataset: pass
[docs] @abc.abstractmethod def process_dataset(self, dataset: RepertoireDataset, result_path: Path) -> RepertoireDataset: pass
[docs] @staticmethod def check_dataset_type(dataset, valid_dataset_types: list, location: str): assert type(dataset) in valid_dataset_types, f"{location}: this preprocessing can only be applied to datasets of type: {', '.join([dataset_type.__name__ for dataset_type in valid_dataset_types])}. " \ f"Your dataset is a {type(dataset).__name__}. " \ f"Please use a different preprocessing, or omit the preprocessing for this dataset."