/*
 * Copyright (c) 2022-2023, NVIDIA 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.
 */

#include <cugraph_c/community_algorithms.h>

#include <c_api/hierarchical_clustering_result.hpp>

extern "C" cugraph_type_erased_device_array_view_t*
cugraph_hierarchical_clustering_result_get_vertices(
  cugraph_hierarchical_clustering_result_t* result)
{
  auto internal_pointer =
    reinterpret_cast<cugraph::c_api::cugraph_hierarchical_clustering_result_t*>(result);
  return reinterpret_cast<cugraph_type_erased_device_array_view_t*>(
    internal_pointer->vertices_->view());
}

extern "C" cugraph_type_erased_device_array_view_t*
cugraph_hierarchical_clustering_result_get_clusters(
  cugraph_hierarchical_clustering_result_t* result)
{
  auto internal_pointer =
    reinterpret_cast<cugraph::c_api::cugraph_hierarchical_clustering_result_t*>(result);
  return reinterpret_cast<cugraph_type_erased_device_array_view_t*>(
    internal_pointer->clusters_->view());
}

extern "C" double cugraph_hierarchical_clustering_result_get_modularity(
  cugraph_hierarchical_clustering_result_t* result)
{
  auto internal_pointer =
    reinterpret_cast<cugraph::c_api::cugraph_hierarchical_clustering_result_t*>(result);
  return internal_pointer->modularity;
}

extern "C" void cugraph_hierarchical_clustering_result_free(
  cugraph_hierarchical_clustering_result_t* result)
{
  auto internal_pointer =
    reinterpret_cast<cugraph::c_api::cugraph_hierarchical_clustering_result_t*>(result);
  delete internal_pointer->vertices_;
  delete internal_pointer->clusters_;
  delete internal_pointer;
}
