# Source code for nlp_architect.models.cross_doc_sieves

    # ******************************************************************************
    # Copyright 2017-2018 Intel Corporation
    #
    # Licensed under the Apache License, Version 2.0 (the "License");
    # you may not use this file except in compliance with the License.
    # You may obtain a copy of the License at
    #
    #     http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    # ******************************************************************************
    import logging
    from typing import List

    from nlp_architect.common.cdc.cluster import Clusters
    from nlp_architect.common.cdc.topics import Topics
    from nlp_architect.models.cross_doc_coref.system.sieves.run_sieve_system import get_run_system
    from nlp_architect.models.cross_doc_coref.system.sieves_container_init import (
        SievesContainerInitialization,
    )

    logger = logging.getLogger(__name__)

    def run_event_coref(topics: Topics, resources: SievesContainerInitialization) -> List[Clusters]:
        """
        Running Cross Document Coref on event mentions
        Args:
            topics   : The Topics (with mentions) to evaluate
            resources: resources for running the evaluation

        Returns:
            Clusters: List of clusters and mentions with predicted cross doc coref within each topic
        """

        return _run_coref(topics, resources, "event")

    def run_entity_coref(topics: Topics, resources: SievesContainerInitialization) -> List[Clusters]:
        """
        Running Cross Document Coref on Entity mentions
        Args:
            topics   : The Topics (with mentions) to evaluate
            resources: (SievesContainerInitialization) resources for running the evaluation

        Returns:
            Clusters: List of topics and mentions with predicted cross doc coref within each topic
        """
        return _run_coref(topics, resources, "entity")

    def _run_coref(
        topics: Topics, resources: SievesContainerInitialization, eval_type: str
    ) -> List[Clusters]:
        """
        Running Cross Document Coref on Entity mentions
        Args:
            resources: (SievesContainerInitialization) resources for running the evaluation
            topics   : The Topics (with mentions) to evaluate

        Returns:
            Clusters: List of topics and mentions with predicted cross doc coref within each topic
        """
        clusters_list = list()
        for topic in topics.topics_list:
            sieves_list = get_run_system(topic, resources, eval_type)
            clusters = sieves_list.run_deterministic()
            clusters.set_coref_chain_to_mentions()
            clusters_list.append(clusters)

        return clusters_list