def partial_fit(self, docs: List[str], doc_ids: List[Any], doc_nums: List[int]) -> None:
        """Partially fit on one batch.

        Args:
            docs: a list of input documents
            doc_ids: a list of document ids corresponding to input documents
            doc_nums: a list of document integer ids as they appear in a database

        Returns:
            None

        """
        for doc_id, i in zip(doc_ids, doc_nums):
            self.doc_index[doc_id] = i

        for batch_rows, batch_data, batch_cols in self.get_counts(docs, doc_ids):
            self.rows.extend(batch_rows)
            self.cols.extend(batch_cols)
            self.data.extend(batch_data)
Partially fit on one batch.

        Args:
            docs: a list of input documents
            doc_ids: a list of document ids corresponding to input documents
            doc_nums: a list of document integer ids as they appear in a database

        Returns:
            None

        
deeppavlov/models/vectorizers/hashing_tfidf_vectorizer.py