google/generativeai/types/retriever_types.py [1078:1094]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if results_count:
            if results_count < 0 or results_count >= 100:
                raise ValueError(
                    "Invalid operation: The number of results returned must be between 1 and 100."
                )

        m_f_ = []
        if metadata_filters:
            for mf in metadata_filters:
                m_f_.append(mf._to_proto())

        request = protos.QueryDocumentRequest(
            name=self.name,
            query=query,
            metadata_filters=m_f_,
            results_count=results_count,
        )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



google/generativeai/types/retriever_types.py [1123:1139]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if results_count:
            if results_count < 0 or results_count >= 100:
                raise ValueError(
                    "Invalid operation: The number of results returned must be between 1 and 100."
                )

        m_f_ = []
        if metadata_filters:
            for mf in metadata_filters:
                m_f_.append(mf._to_proto())

        request = protos.QueryDocumentRequest(
            name=self.name,
            query=query,
            metadata_filters=m_f_,
            results_count=results_count,
        )
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -