model/multi_doc/base_multi_doc_model.py

from model.base_model import SummModel


class MultiDocSummModel(SummModel):

    is_multi_document = True

    def __init__(
        self,
        trained_domain: str = None,
        max_input_length: int = None,
        max_output_length: int = None,
    ):
        super(MultiDocSummModel, self).__init__(
            trained_domain=trained_domain,
            max_input_length=max_input_length,
            max_output_length=max_output_length,
        )

    @classmethod
    def assert_summ_input_type(cls, corpus, query):
        if not all(
            [
                isinstance(ins, list) and all([isinstance(doc, str) for doc in ins])
                for ins in corpus
            ]
        ):
            raise TypeError(
                "Multi-document summarization models summarize instances of multiple documents (`List[List[str]]`)."
            )

        if query is not None:
            if not isinstance(query, list):
                raise TypeError(
                    "Query-based single-document summarization requires query of `List[str]`."
                )
            if not all([isinstance(q, str) for q in query]):
                raise TypeError(
                    "Query-based single-document summarization requires query of `List[str]`."
                )