Split algorithm-specific manyToMany implementations
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@ -24,8 +24,6 @@
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#include "util/fingerprint.hpp"
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#include "util/fingerprint.hpp"
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#include "util/json_container.hpp"
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#include "util/json_container.hpp"
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#include <tbb/task_scheduler_init.h>
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#include <memory>
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#include <memory>
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#include <string>
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#include <string>
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@ -55,8 +53,7 @@ template <typename Algorithm> class Engine final : public EngineInterface
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{
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{
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public:
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public:
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explicit Engine(const EngineConfig &config)
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explicit Engine(const EngineConfig &config)
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: task_scheduler(config.use_threads_number),
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: route_plugin(config.max_locations_viaroute, config.max_alternatives), //
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route_plugin(config.max_locations_viaroute, config.max_alternatives), //
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table_plugin(config.max_locations_distance_table), //
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table_plugin(config.max_locations_distance_table), //
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nearest_plugin(config.max_results_nearest), //
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nearest_plugin(config.max_results_nearest), //
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trip_plugin(config.max_locations_trip), //
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trip_plugin(config.max_locations_trip), //
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@ -128,7 +125,6 @@ template <typename Algorithm> class Engine final : public EngineInterface
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}
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}
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std::unique_ptr<DataFacadeProvider<Algorithm>> facade_provider;
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std::unique_ptr<DataFacadeProvider<Algorithm>> facade_provider;
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mutable SearchEngineData<Algorithm> heaps;
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mutable SearchEngineData<Algorithm> heaps;
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tbb::task_scheduler_init task_scheduler;
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const plugins::ViaRoutePlugin route_plugin;
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const plugins::ViaRoutePlugin route_plugin;
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const plugins::TablePlugin table_plugin;
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const plugins::TablePlugin table_plugin;
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@ -183,6 +183,16 @@ inline routing_algorithms::SubMatchingList RoutingAlgorithms<Algorithm>::MapMatc
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allow_splitting);
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allow_splitting);
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}
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}
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template <typename Algorithm>
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std::vector<EdgeDuration>
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RoutingAlgorithms<Algorithm>::ManyToManySearch(const std::vector<PhantomNode> &phantom_nodes,
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const std::vector<std::size_t> &source_indices,
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const std::vector<std::size_t> &target_indices) const
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{
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return routing_algorithms::manyToManySearch(
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heaps, *facade, phantom_nodes, source_indices, target_indices);
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}
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template <typename Algorithm>
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template <typename Algorithm>
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inline std::vector<routing_algorithms::TurnData> RoutingAlgorithms<Algorithm>::GetTileTurns(
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inline std::vector<routing_algorithms::TurnData> RoutingAlgorithms<Algorithm>::GetTileTurns(
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const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
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const std::vector<datafacade::BaseDataFacade::RTreeLeaf> &edges,
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@ -16,6 +16,39 @@ namespace engine
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namespace routing_algorithms
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namespace routing_algorithms
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{
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{
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namespace
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{
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struct NodeBucket
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{
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NodeID middle_node;
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unsigned column_index; // a column in the weight/duration matrix
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EdgeWeight weight;
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EdgeDuration duration;
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NodeBucket(NodeID middle_node, unsigned column_index, EdgeWeight weight, EdgeDuration duration)
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: middle_node(middle_node), column_index(column_index), weight(weight), duration(duration)
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{
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}
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// partial order comparison
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bool operator<(const NodeBucket &rhs) const { return middle_node < rhs.middle_node; }
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// functor for equal_range
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struct Compare
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{
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bool operator()(const NodeBucket &lhs, const NodeID &rhs) const
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{
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return lhs.middle_node < rhs;
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}
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bool operator()(const NodeID &lhs, const NodeBucket &rhs) const
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{
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return lhs < rhs.middle_node;
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}
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};
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};
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}
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template <typename Algorithm>
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template <typename Algorithm>
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std::vector<EdgeDuration> manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
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std::vector<EdgeDuration> manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
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const DataFacade<Algorithm> &facade,
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const DataFacade<Algorithm> &facade,
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@ -23,18 +56,6 @@ std::vector<EdgeDuration> manyToManySearch(SearchEngineData<Algorithm> &engine_w
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std::vector<std::size_t> source_indices,
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std::vector<std::size_t> source_indices,
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std::vector<std::size_t> target_indices);
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std::vector<std::size_t> target_indices);
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namespace mld
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{
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template <bool DIRECTION>
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std::vector<EdgeDuration> oneToManySearch(SearchEngineData<Algorithm> &engine_working_data,
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const DataFacade<Algorithm> &facade,
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const std::vector<PhantomNode> &phantom_nodes,
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std::size_t phantom_index,
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std::vector<std::size_t> phantom_indices);
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} // mld
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} // namespace routing_algorithms
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} // namespace routing_algorithms
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} // namespace engine
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} // namespace engine
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} // namespace osrm
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} // namespace osrm
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@ -1,56 +0,0 @@
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#include "engine/routing_algorithms.hpp"
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namespace osrm
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{
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namespace engine
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{
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template <typename Algorithm>
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std::vector<EdgeDuration>
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RoutingAlgorithms<Algorithm>::ManyToManySearch(const std::vector<PhantomNode> &phantom_nodes,
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const std::vector<std::size_t> &source_indices,
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const std::vector<std::size_t> &target_indices) const
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{
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return routing_algorithms::manyToManySearch(
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heaps, *facade, phantom_nodes, source_indices, target_indices);
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}
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template std::vector<EdgeDuration>
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RoutingAlgorithms<routing_algorithms::ch::Algorithm>::ManyToManySearch(
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const std::vector<PhantomNode> &phantom_nodes,
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const std::vector<std::size_t> &source_indices,
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const std::vector<std::size_t> &target_indices) const;
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template std::vector<EdgeDuration>
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RoutingAlgorithms<routing_algorithms::corech::Algorithm>::ManyToManySearch(
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const std::vector<PhantomNode> &phantom_nodes,
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const std::vector<std::size_t> &source_indices,
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const std::vector<std::size_t> &target_indices) const;
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// One-to-many and many-to-one can be handled with MLD separately from many-to-many search.
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// One-to-many (many-to-one) search is a unidirectional forward (backward) Dijkstra search
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// with the candidate node level min(GetQueryLevel(phantom_node, phantom_nodes, node)
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template <>
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std::vector<EdgeDuration> RoutingAlgorithms<routing_algorithms::mld::Algorithm>::ManyToManySearch(
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const std::vector<PhantomNode> &phantom_nodes,
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const std::vector<std::size_t> &source_indices,
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const std::vector<std::size_t> &target_indices) const
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{
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if (source_indices.size() == 1)
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{ // TODO: check if target_indices.size() == 1 and do a bi-directional search
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return routing_algorithms::mld::oneToManySearch<routing_algorithms::FORWARD_DIRECTION>(
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heaps, *facade, phantom_nodes, source_indices.front(), target_indices);
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}
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if (target_indices.size() == 1)
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{
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return routing_algorithms::mld::oneToManySearch<routing_algorithms::REVERSE_DIRECTION>(
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heaps, *facade, phantom_nodes, target_indices.front(), source_indices);
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}
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return routing_algorithms::manyToManySearch(
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heaps, *facade, phantom_nodes, source_indices, target_indices);
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}
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} // namespace engine
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} // namespace osrm
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236
src/engine/routing_algorithms/many_to_many_ch.cpp
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236
src/engine/routing_algorithms/many_to_many_ch.cpp
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@ -0,0 +1,236 @@
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#include "engine/routing_algorithms/many_to_many.hpp"
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#include "engine/routing_algorithms/routing_base_ch.hpp"
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#include <boost/assert.hpp>
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#include <boost/range/iterator_range_core.hpp>
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#include <limits>
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#include <memory>
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#include <vector>
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namespace osrm
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{
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namespace engine
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{
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namespace routing_algorithms
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{
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namespace ch
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{
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inline bool addLoopWeight(const DataFacade<ch::Algorithm> &facade,
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const NodeID node,
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EdgeWeight &weight,
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EdgeDuration &duration)
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{ // Special case for CH when contractor creates a loop edge node->node
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BOOST_ASSERT(weight < 0);
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const auto loop_weight = ch::getLoopWeight<false>(facade, node);
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if (loop_weight != INVALID_EDGE_WEIGHT)
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{
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const auto new_weight_with_loop = weight + loop_weight;
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if (new_weight_with_loop >= 0)
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{
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weight = new_weight_with_loop;
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duration += ch::getLoopWeight<true>(facade, node);
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return true;
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}
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}
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// No loop found or adjusted weight is negative
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return false;
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}
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template <bool DIRECTION>
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void relaxOutgoingEdges(const DataFacade<Algorithm> &facade,
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const NodeID node,
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const EdgeWeight weight,
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const EdgeDuration duration,
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typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
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const PhantomNode &)
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{
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if (stallAtNode<DIRECTION>(facade, node, weight, query_heap))
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{
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return;
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}
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for (auto edge : facade.GetAdjacentEdgeRange(node))
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{
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const auto &data = facade.GetEdgeData(edge);
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if (DIRECTION == FORWARD_DIRECTION ? data.forward : data.backward)
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{
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const NodeID to = facade.GetTarget(edge);
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const auto edge_weight = data.weight;
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const auto edge_duration = data.duration;
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BOOST_ASSERT_MSG(edge_weight > 0, "edge_weight invalid");
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const auto to_weight = weight + edge_weight;
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const auto to_duration = duration + edge_duration;
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// New Node discovered -> Add to Heap + Node Info Storage
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if (!query_heap.WasInserted(to))
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{
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query_heap.Insert(to, to_weight, {node, to_duration});
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}
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// Found a shorter Path -> Update weight and set new parent
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else if (std::tie(to_weight, to_duration) <
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std::tie(query_heap.GetKey(to), query_heap.GetData(to).duration))
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{
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query_heap.GetData(to) = {node, to_duration};
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query_heap.DecreaseKey(to, to_weight);
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}
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}
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}
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}
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void forwardRoutingStep(const DataFacade<Algorithm> &facade,
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const unsigned row_idx,
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const unsigned number_of_targets,
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typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
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const std::vector<NodeBucket> &search_space_with_buckets,
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std::vector<EdgeWeight> &weights_table,
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std::vector<EdgeDuration> &durations_table,
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const PhantomNode &phantom_node)
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{
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const auto node = query_heap.DeleteMin();
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const auto source_weight = query_heap.GetKey(node);
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const auto source_duration = query_heap.GetData(node).duration;
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// Check if each encountered node has an entry
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const auto &bucket_list = std::equal_range(search_space_with_buckets.begin(),
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search_space_with_buckets.end(),
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node,
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NodeBucket::Compare());
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for (const auto ¤t_bucket : boost::make_iterator_range(bucket_list))
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{
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// Get target id from bucket entry
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const auto column_idx = current_bucket.column_index;
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const auto target_weight = current_bucket.weight;
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const auto target_duration = current_bucket.duration;
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auto ¤t_weight = weights_table[row_idx * number_of_targets + column_idx];
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auto ¤t_duration = durations_table[row_idx * number_of_targets + column_idx];
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// Check if new weight is better
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auto new_weight = source_weight + target_weight;
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auto new_duration = source_duration + target_duration;
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if (new_weight < 0)
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{
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if (addLoopWeight(facade, node, new_weight, new_duration))
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{
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current_weight = std::min(current_weight, new_weight);
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current_duration = std::min(current_duration, new_duration);
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}
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}
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else if (std::tie(new_weight, new_duration) < std::tie(current_weight, current_duration))
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{
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current_weight = new_weight;
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current_duration = new_duration;
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}
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}
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relaxOutgoingEdges<FORWARD_DIRECTION>(
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facade, node, source_weight, source_duration, query_heap, phantom_node);
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}
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void backwardRoutingStep(const DataFacade<Algorithm> &facade,
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const unsigned column_idx,
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typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
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std::vector<NodeBucket> &search_space_with_buckets,
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const PhantomNode &phantom_node)
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{
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const auto node = query_heap.DeleteMin();
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const auto target_weight = query_heap.GetKey(node);
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const auto target_duration = query_heap.GetData(node).duration;
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// Store settled nodes in search space bucket
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search_space_with_buckets.emplace_back(node, column_idx, target_weight, target_duration);
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relaxOutgoingEdges<REVERSE_DIRECTION>(
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facade, node, target_weight, target_duration, query_heap, phantom_node);
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}
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} // namespace ch
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template <>
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std::vector<EdgeDuration> manyToManySearch(SearchEngineData<ch::Algorithm> &engine_working_data,
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const DataFacade<ch::Algorithm> &facade,
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const std::vector<PhantomNode> &phantom_nodes,
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std::vector<std::size_t> source_indices,
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std::vector<std::size_t> target_indices)
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{
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if (source_indices.empty())
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{
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source_indices.resize(phantom_nodes.size());
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std::iota(source_indices.begin(), source_indices.end(), 0);
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}
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if (target_indices.empty())
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{
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target_indices.resize(phantom_nodes.size());
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std::iota(target_indices.begin(), target_indices.end(), 0);
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}
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const auto number_of_sources = source_indices.size();
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const auto number_of_targets = target_indices.size();
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const auto number_of_entries = number_of_sources * number_of_targets;
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std::vector<EdgeWeight> weights_table(number_of_entries, INVALID_EDGE_WEIGHT);
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std::vector<EdgeDuration> durations_table(number_of_entries, MAXIMAL_EDGE_DURATION);
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std::vector<NodeBucket> search_space_with_buckets;
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// Populate buckets with paths from all accessible nodes to destinations via backward searches
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for (std::uint32_t column_idx = 0; column_idx < target_indices.size(); ++column_idx)
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{
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const auto index = target_indices[column_idx];
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const auto &phantom = phantom_nodes[index];
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engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
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facade.GetNumberOfNodes());
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auto &query_heap = *(engine_working_data.many_to_many_heap);
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insertTargetInHeap(query_heap, phantom);
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// Explore search space
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while (!query_heap.Empty())
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||||||
|
{
|
||||||
|
backwardRoutingStep(facade, column_idx, query_heap, search_space_with_buckets, phantom);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Order lookup buckets
|
||||||
|
std::sort(search_space_with_buckets.begin(), search_space_with_buckets.end());
|
||||||
|
|
||||||
|
// Find shortest paths from sources to all accessible nodes
|
||||||
|
for (std::uint32_t row_idx = 0; row_idx < source_indices.size(); ++row_idx)
|
||||||
|
{
|
||||||
|
const auto index = source_indices[row_idx];
|
||||||
|
const auto &phantom = phantom_nodes[index];
|
||||||
|
|
||||||
|
// Clear heap and insert source nodes
|
||||||
|
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
|
||||||
|
facade.GetNumberOfNodes());
|
||||||
|
auto &query_heap = *(engine_working_data.many_to_many_heap);
|
||||||
|
insertSourceInHeap(query_heap, phantom);
|
||||||
|
|
||||||
|
// Explore search space
|
||||||
|
while (!query_heap.Empty())
|
||||||
|
{
|
||||||
|
forwardRoutingStep(facade,
|
||||||
|
row_idx,
|
||||||
|
number_of_targets,
|
||||||
|
query_heap,
|
||||||
|
search_space_with_buckets,
|
||||||
|
weights_table,
|
||||||
|
durations_table,
|
||||||
|
phantom);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return durations_table;
|
||||||
|
}
|
||||||
|
|
||||||
|
} // namespace routing_algorithms
|
||||||
|
} // namespace engine
|
||||||
|
} // namespace osrm
|
@ -1,5 +1,5 @@
|
|||||||
#include "engine/routing_algorithms/many_to_many.hpp"
|
#include "engine/routing_algorithms/many_to_many.hpp"
|
||||||
#include "engine/routing_algorithms/routing_base_ch.hpp"
|
#include "engine/routing_algorithms/routing_base.hpp"
|
||||||
|
|
||||||
#include <boost/assert.hpp>
|
#include <boost/assert.hpp>
|
||||||
#include <boost/range/iterator_range_core.hpp>
|
#include <boost/range/iterator_range_core.hpp>
|
||||||
@ -16,114 +16,12 @@ namespace engine
|
|||||||
namespace routing_algorithms
|
namespace routing_algorithms
|
||||||
{
|
{
|
||||||
|
|
||||||
namespace
|
namespace mld
|
||||||
{
|
{
|
||||||
struct NodeBucket
|
|
||||||
{
|
|
||||||
NodeID middle_node;
|
|
||||||
unsigned column_index; // a column in the weight/duration matrix
|
|
||||||
EdgeWeight weight;
|
|
||||||
EdgeDuration duration;
|
|
||||||
|
|
||||||
NodeBucket(NodeID middle_node, unsigned column_index, EdgeWeight weight, EdgeDuration duration)
|
template <bool DIRECTION, typename MultiLevelPartition>
|
||||||
: middle_node(middle_node), column_index(column_index), weight(weight), duration(duration)
|
|
||||||
{
|
|
||||||
}
|
|
||||||
|
|
||||||
// partial order comparison
|
|
||||||
bool operator<(const NodeBucket &rhs) const { return middle_node < rhs.middle_node; }
|
|
||||||
|
|
||||||
// functor for equal_range
|
|
||||||
struct Compare
|
|
||||||
{
|
|
||||||
bool operator()(const NodeBucket &lhs, const NodeID &rhs) const
|
|
||||||
{
|
|
||||||
return lhs.middle_node < rhs;
|
|
||||||
}
|
|
||||||
|
|
||||||
bool operator()(const NodeID &lhs, const NodeBucket &rhs) const
|
|
||||||
{
|
|
||||||
return lhs < rhs.middle_node;
|
|
||||||
}
|
|
||||||
};
|
|
||||||
};
|
|
||||||
|
|
||||||
inline bool addLoopWeight(const DataFacade<ch::Algorithm> &facade,
|
|
||||||
const NodeID node,
|
|
||||||
EdgeWeight &weight,
|
|
||||||
EdgeDuration &duration)
|
|
||||||
{ // Special case for CH when contractor creates a loop edge node->node
|
|
||||||
BOOST_ASSERT(weight < 0);
|
|
||||||
|
|
||||||
const auto loop_weight = ch::getLoopWeight<false>(facade, node);
|
|
||||||
if (loop_weight != INVALID_EDGE_WEIGHT)
|
|
||||||
{
|
|
||||||
const auto new_weight_with_loop = weight + loop_weight;
|
|
||||||
if (new_weight_with_loop >= 0)
|
|
||||||
{
|
|
||||||
weight = new_weight_with_loop;
|
|
||||||
duration += ch::getLoopWeight<true>(facade, node);
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
// No loop found or adjusted weight is negative
|
|
||||||
return false;
|
|
||||||
}
|
|
||||||
|
|
||||||
template <bool DIRECTION>
|
|
||||||
void relaxOutgoingEdges(const DataFacade<ch::Algorithm> &facade,
|
|
||||||
const NodeID node,
|
|
||||||
const EdgeWeight weight,
|
|
||||||
const EdgeDuration duration,
|
|
||||||
typename SearchEngineData<ch::Algorithm>::ManyToManyQueryHeap &query_heap,
|
|
||||||
const PhantomNode &)
|
|
||||||
{
|
|
||||||
if (ch::stallAtNode<DIRECTION>(facade, node, weight, query_heap))
|
|
||||||
{
|
|
||||||
return;
|
|
||||||
}
|
|
||||||
|
|
||||||
for (auto edge : facade.GetAdjacentEdgeRange(node))
|
|
||||||
{
|
|
||||||
const auto &data = facade.GetEdgeData(edge);
|
|
||||||
if (DIRECTION == FORWARD_DIRECTION ? data.forward : data.backward)
|
|
||||||
{
|
|
||||||
const NodeID to = facade.GetTarget(edge);
|
|
||||||
|
|
||||||
const auto edge_weight = data.weight;
|
|
||||||
const auto edge_duration = data.duration;
|
|
||||||
|
|
||||||
BOOST_ASSERT_MSG(edge_weight > 0, "edge_weight invalid");
|
|
||||||
const auto to_weight = weight + edge_weight;
|
|
||||||
const auto to_duration = duration + edge_duration;
|
|
||||||
|
|
||||||
// New Node discovered -> Add to Heap + Node Info Storage
|
|
||||||
if (!query_heap.WasInserted(to))
|
|
||||||
{
|
|
||||||
query_heap.Insert(to, to_weight, {node, to_duration});
|
|
||||||
}
|
|
||||||
// Found a shorter Path -> Update weight
|
|
||||||
else if (std::tie(to_weight, to_duration) <
|
|
||||||
std::tie(query_heap.GetKey(to), query_heap.GetData(to).duration))
|
|
||||||
{
|
|
||||||
// new parent
|
|
||||||
query_heap.GetData(to) = {node, to_duration};
|
|
||||||
query_heap.DecreaseKey(to, to_weight);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
inline bool
|
|
||||||
addLoopWeight(const DataFacade<mld::Algorithm> &, const NodeID, EdgeWeight &, EdgeDuration &)
|
|
||||||
{ // MLD overlay does not introduce loop edges
|
|
||||||
return false;
|
|
||||||
}
|
|
||||||
|
|
||||||
template <typename MultiLevelPartition>
|
|
||||||
inline LevelID getNodeQueryLevel(const MultiLevelPartition &partition,
|
inline LevelID getNodeQueryLevel(const MultiLevelPartition &partition,
|
||||||
NodeID node,
|
const NodeID node,
|
||||||
const PhantomNode &phantom_node)
|
const PhantomNode &phantom_node)
|
||||||
{
|
{
|
||||||
auto highest_diffrent_level = [&partition, node](const SegmentID &phantom_node) {
|
auto highest_diffrent_level = [&partition, node](const SegmentID &phantom_node) {
|
||||||
@ -132,11 +30,13 @@ inline LevelID getNodeQueryLevel(const MultiLevelPartition &partition,
|
|||||||
return INVALID_LEVEL_ID;
|
return INVALID_LEVEL_ID;
|
||||||
};
|
};
|
||||||
|
|
||||||
return std::min(highest_diffrent_level(phantom_node.forward_segment_id),
|
const auto node_level = std::min(highest_diffrent_level(phantom_node.forward_segment_id),
|
||||||
highest_diffrent_level(phantom_node.reverse_segment_id));
|
highest_diffrent_level(phantom_node.reverse_segment_id));
|
||||||
|
|
||||||
|
return node_level;
|
||||||
}
|
}
|
||||||
|
|
||||||
template <typename MultiLevelPartition>
|
template <bool DIRECTION, typename MultiLevelPartition>
|
||||||
inline LevelID getNodeQueryLevel(const MultiLevelPartition &partition,
|
inline LevelID getNodeQueryLevel(const MultiLevelPartition &partition,
|
||||||
NodeID node,
|
NodeID node,
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
const std::vector<PhantomNode> &phantom_nodes,
|
||||||
@ -181,11 +81,10 @@ void relaxOutgoingEdges(const DataFacade<mld::Algorithm> &facade,
|
|||||||
const auto &partition = facade.GetMultiLevelPartition();
|
const auto &partition = facade.GetMultiLevelPartition();
|
||||||
const auto &cells = facade.GetCellStorage();
|
const auto &cells = facade.GetCellStorage();
|
||||||
const auto &metric = facade.GetCellMetric();
|
const auto &metric = facade.GetCellMetric();
|
||||||
|
|
||||||
const auto level = getNodeQueryLevel(partition, node, args...);
|
|
||||||
|
|
||||||
const auto &node_data = query_heap.GetData(node);
|
const auto &node_data = query_heap.GetData(node);
|
||||||
|
|
||||||
|
const auto level = getNodeQueryLevel<DIRECTION>(partition, node, args...);
|
||||||
|
|
||||||
if (level >= 1 && !node_data.from_clique_arc)
|
if (level >= 1 && !node_data.from_clique_arc)
|
||||||
{
|
{
|
||||||
const auto &cell = cells.GetCell(metric, level, partition.GetCell(level, node));
|
const auto &cell = cells.GetCell(metric, level, partition.GetCell(level, node));
|
||||||
@ -274,11 +173,10 @@ void relaxOutgoingEdges(const DataFacade<mld::Algorithm> &facade,
|
|||||||
{
|
{
|
||||||
query_heap.Insert(to, to_weight, {node, false, to_duration});
|
query_heap.Insert(to, to_weight, {node, false, to_duration});
|
||||||
}
|
}
|
||||||
// Found a shorter Path -> Update weight
|
// Found a shorter Path -> Update weight and set new parent
|
||||||
else if (std::tie(to_weight, to_duration) <
|
else if (std::tie(to_weight, to_duration) <
|
||||||
std::tie(query_heap.GetKey(to), query_heap.GetData(to).duration))
|
std::tie(query_heap.GetKey(to), query_heap.GetData(to).duration))
|
||||||
{
|
{
|
||||||
// new parent
|
|
||||||
query_heap.GetData(to) = {node, false, to_duration};
|
query_heap.GetData(to) = {node, false, to_duration};
|
||||||
query_heap.DecreaseKey(to, to_weight);
|
query_heap.DecreaseKey(to, to_weight);
|
||||||
}
|
}
|
||||||
@ -286,7 +184,6 @@ void relaxOutgoingEdges(const DataFacade<mld::Algorithm> &facade,
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
template <typename Algorithm>
|
|
||||||
void forwardRoutingStep(const DataFacade<Algorithm> &facade,
|
void forwardRoutingStep(const DataFacade<Algorithm> &facade,
|
||||||
const unsigned row_idx,
|
const unsigned row_idx,
|
||||||
const unsigned number_of_targets,
|
const unsigned number_of_targets,
|
||||||
@ -300,14 +197,14 @@ void forwardRoutingStep(const DataFacade<Algorithm> &facade,
|
|||||||
const auto source_weight = query_heap.GetKey(node);
|
const auto source_weight = query_heap.GetKey(node);
|
||||||
const auto source_duration = query_heap.GetData(node).duration;
|
const auto source_duration = query_heap.GetData(node).duration;
|
||||||
|
|
||||||
// check if each encountered node has an entry
|
// Check if each encountered node has an entry
|
||||||
const auto &bucket_list = std::equal_range(search_space_with_buckets.begin(),
|
const auto &bucket_list = std::equal_range(search_space_with_buckets.begin(),
|
||||||
search_space_with_buckets.end(),
|
search_space_with_buckets.end(),
|
||||||
node,
|
node,
|
||||||
NodeBucket::Compare());
|
NodeBucket::Compare());
|
||||||
for (const auto ¤t_bucket : boost::make_iterator_range(bucket_list))
|
for (const auto ¤t_bucket : boost::make_iterator_range(bucket_list))
|
||||||
{
|
{
|
||||||
// get target id from bucket entry
|
// Get target id from bucket entry
|
||||||
const auto column_idx = current_bucket.column_index;
|
const auto column_idx = current_bucket.column_index;
|
||||||
const auto target_weight = current_bucket.weight;
|
const auto target_weight = current_bucket.weight;
|
||||||
const auto target_duration = current_bucket.duration;
|
const auto target_duration = current_bucket.duration;
|
||||||
@ -315,19 +212,12 @@ void forwardRoutingStep(const DataFacade<Algorithm> &facade,
|
|||||||
auto ¤t_weight = weights_table[row_idx * number_of_targets + column_idx];
|
auto ¤t_weight = weights_table[row_idx * number_of_targets + column_idx];
|
||||||
auto ¤t_duration = durations_table[row_idx * number_of_targets + column_idx];
|
auto ¤t_duration = durations_table[row_idx * number_of_targets + column_idx];
|
||||||
|
|
||||||
// check if new weight is better
|
// Check if new weight is better
|
||||||
auto new_weight = source_weight + target_weight;
|
auto new_weight = source_weight + target_weight;
|
||||||
auto new_duration = source_duration + target_duration;
|
auto new_duration = source_duration + target_duration;
|
||||||
|
|
||||||
if (new_weight < 0)
|
if (new_weight >= 0 &&
|
||||||
{
|
std::tie(new_weight, new_duration) < std::tie(current_weight, current_duration))
|
||||||
if (addLoopWeight(facade, node, new_weight, new_duration))
|
|
||||||
{
|
|
||||||
current_weight = std::min(current_weight, new_weight);
|
|
||||||
current_duration = std::min(current_duration, new_duration);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
else if (std::tie(new_weight, new_duration) < std::tie(current_weight, current_duration))
|
|
||||||
{
|
{
|
||||||
current_weight = new_weight;
|
current_weight = new_weight;
|
||||||
current_duration = new_duration;
|
current_duration = new_duration;
|
||||||
@ -338,7 +228,6 @@ void forwardRoutingStep(const DataFacade<Algorithm> &facade,
|
|||||||
facade, node, source_weight, source_duration, query_heap, phantom_node);
|
facade, node, source_weight, source_duration, query_heap, phantom_node);
|
||||||
}
|
}
|
||||||
|
|
||||||
template <typename Algorithm>
|
|
||||||
void backwardRoutingStep(const DataFacade<Algorithm> &facade,
|
void backwardRoutingStep(const DataFacade<Algorithm> &facade,
|
||||||
const unsigned column_idx,
|
const unsigned column_idx,
|
||||||
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
|
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
|
||||||
@ -349,124 +238,12 @@ void backwardRoutingStep(const DataFacade<Algorithm> &facade,
|
|||||||
const auto target_weight = query_heap.GetKey(node);
|
const auto target_weight = query_heap.GetKey(node);
|
||||||
const auto target_duration = query_heap.GetData(node).duration;
|
const auto target_duration = query_heap.GetData(node).duration;
|
||||||
|
|
||||||
// store settled nodes in search space bucket
|
// Store settled nodes in search space bucket
|
||||||
search_space_with_buckets.emplace_back(node, column_idx, target_weight, target_duration);
|
search_space_with_buckets.emplace_back(node, column_idx, target_weight, target_duration);
|
||||||
|
|
||||||
relaxOutgoingEdges<REVERSE_DIRECTION>(
|
relaxOutgoingEdges<REVERSE_DIRECTION>(
|
||||||
facade, node, target_weight, target_duration, query_heap, phantom_node);
|
facade, node, target_weight, target_duration, query_heap, phantom_node);
|
||||||
}
|
}
|
||||||
}
|
|
||||||
|
|
||||||
template <typename Algorithm>
|
|
||||||
std::vector<EdgeDuration> manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
|
|
||||||
const DataFacade<Algorithm> &facade,
|
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
|
||||||
std::vector<std::size_t> source_indices,
|
|
||||||
std::vector<std::size_t> target_indices)
|
|
||||||
{
|
|
||||||
if (source_indices.empty())
|
|
||||||
{
|
|
||||||
source_indices.resize(phantom_nodes.size());
|
|
||||||
std::iota(source_indices.begin(), source_indices.end(), 0);
|
|
||||||
}
|
|
||||||
if (target_indices.empty())
|
|
||||||
{
|
|
||||||
target_indices.resize(phantom_nodes.size());
|
|
||||||
std::iota(target_indices.begin(), target_indices.end(), 0);
|
|
||||||
}
|
|
||||||
|
|
||||||
const auto number_of_sources = source_indices.size();
|
|
||||||
const auto number_of_targets = target_indices.size();
|
|
||||||
const auto number_of_entries = number_of_sources * number_of_targets;
|
|
||||||
|
|
||||||
std::vector<EdgeWeight> weights_table(number_of_entries, INVALID_EDGE_WEIGHT);
|
|
||||||
std::vector<EdgeDuration> durations_table(number_of_entries, MAXIMAL_EDGE_DURATION);
|
|
||||||
|
|
||||||
std::mutex lock;
|
|
||||||
std::vector<NodeBucket> search_space_with_buckets;
|
|
||||||
|
|
||||||
// Backward search for target phantoms
|
|
||||||
tbb::parallel_for(
|
|
||||||
tbb::blocked_range<std::size_t>{0, target_indices.size()},
|
|
||||||
[&](const tbb::blocked_range<std::size_t> &chunk) {
|
|
||||||
for (auto column_idx = chunk.begin(), end = chunk.end(); column_idx != end;
|
|
||||||
++column_idx)
|
|
||||||
{
|
|
||||||
const auto index = target_indices[column_idx];
|
|
||||||
const auto &phantom = phantom_nodes[index];
|
|
||||||
|
|
||||||
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
|
|
||||||
facade.GetNumberOfNodes());
|
|
||||||
auto &query_heap = *(engine_working_data.many_to_many_heap);
|
|
||||||
insertTargetInHeap(query_heap, phantom);
|
|
||||||
|
|
||||||
// explore search space
|
|
||||||
std::vector<NodeBucket> local_buckets;
|
|
||||||
while (!query_heap.Empty())
|
|
||||||
{
|
|
||||||
backwardRoutingStep(facade, column_idx, query_heap, local_buckets, phantom);
|
|
||||||
}
|
|
||||||
|
|
||||||
{ // Insert local buckets into the global search space
|
|
||||||
std::lock_guard<std::mutex> guard{lock};
|
|
||||||
search_space_with_buckets.insert(std::end(search_space_with_buckets),
|
|
||||||
std::begin(local_buckets),
|
|
||||||
std::end(local_buckets));
|
|
||||||
}
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
tbb::parallel_sort(search_space_with_buckets.begin(), search_space_with_buckets.end());
|
|
||||||
|
|
||||||
// For each source do forward search
|
|
||||||
tbb::parallel_for(tbb::blocked_range<std::size_t>{0, source_indices.size()},
|
|
||||||
[&](const tbb::blocked_range<std::size_t> &chunk) {
|
|
||||||
for (auto row_idx = chunk.begin(), end = chunk.end(); row_idx != end;
|
|
||||||
++row_idx)
|
|
||||||
{
|
|
||||||
const auto index = source_indices[row_idx];
|
|
||||||
const auto &phantom = phantom_nodes[index];
|
|
||||||
|
|
||||||
// clear heap and insert source nodes
|
|
||||||
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
|
|
||||||
facade.GetNumberOfNodes());
|
|
||||||
auto &query_heap = *(engine_working_data.many_to_many_heap);
|
|
||||||
insertSourceInHeap(query_heap, phantom);
|
|
||||||
|
|
||||||
// explore search space
|
|
||||||
while (!query_heap.Empty())
|
|
||||||
{
|
|
||||||
forwardRoutingStep(facade,
|
|
||||||
row_idx,
|
|
||||||
number_of_targets,
|
|
||||||
query_heap,
|
|
||||||
search_space_with_buckets,
|
|
||||||
weights_table,
|
|
||||||
durations_table,
|
|
||||||
phantom);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
});
|
|
||||||
|
|
||||||
return durations_table;
|
|
||||||
}
|
|
||||||
|
|
||||||
template std::vector<EdgeDuration>
|
|
||||||
manyToManySearch(SearchEngineData<ch::Algorithm> &engine_working_data,
|
|
||||||
const DataFacade<ch::Algorithm> &facade,
|
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
|
||||||
std::vector<std::size_t> source_indices,
|
|
||||||
std::vector<std::size_t> target_indices);
|
|
||||||
|
|
||||||
template std::vector<EdgeDuration>
|
|
||||||
manyToManySearch(SearchEngineData<mld::Algorithm> &engine_working_data,
|
|
||||||
const DataFacade<mld::Algorithm> &facade,
|
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
|
||||||
std::vector<std::size_t> source_indices,
|
|
||||||
std::vector<std::size_t> target_indices);
|
|
||||||
|
|
||||||
namespace mld
|
|
||||||
{
|
|
||||||
|
|
||||||
// Unidirectional multi-layer Dijkstra search for 1-to-N and N-to-1 matrices
|
// Unidirectional multi-layer Dijkstra search for 1-to-N and N-to-1 matrices
|
||||||
template <bool DIRECTION>
|
template <bool DIRECTION>
|
||||||
@ -635,20 +412,114 @@ std::vector<EdgeDuration> oneToManySearch(SearchEngineData<Algorithm> &engine_wo
|
|||||||
return durations;
|
return durations;
|
||||||
}
|
}
|
||||||
|
|
||||||
template std::vector<EdgeDuration>
|
std::vector<EdgeDuration> manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
|
||||||
oneToManySearch<FORWARD_DIRECTION>(SearchEngineData<Algorithm> &engine_working_data,
|
const DataFacade<Algorithm> &facade,
|
||||||
const DataFacade<Algorithm> &facade,
|
const std::vector<PhantomNode> &phantom_nodes,
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
std::vector<std::size_t> source_indices,
|
||||||
std::size_t phantom_index,
|
std::vector<std::size_t> target_indices)
|
||||||
std::vector<std::size_t> phantom_indices);
|
{
|
||||||
|
if (source_indices.empty())
|
||||||
|
{
|
||||||
|
source_indices.resize(phantom_nodes.size());
|
||||||
|
std::iota(source_indices.begin(), source_indices.end(), 0);
|
||||||
|
}
|
||||||
|
if (target_indices.empty())
|
||||||
|
{
|
||||||
|
target_indices.resize(phantom_nodes.size());
|
||||||
|
std::iota(target_indices.begin(), target_indices.end(), 0);
|
||||||
|
}
|
||||||
|
|
||||||
template std::vector<EdgeDuration>
|
const auto number_of_sources = source_indices.size();
|
||||||
oneToManySearch<REVERSE_DIRECTION>(SearchEngineData<Algorithm> &engine_working_data,
|
const auto number_of_targets = target_indices.size();
|
||||||
const DataFacade<Algorithm> &facade,
|
const auto number_of_entries = number_of_sources * number_of_targets;
|
||||||
const std::vector<PhantomNode> &phantom_nodes,
|
|
||||||
std::size_t phantom_index,
|
std::vector<EdgeWeight> weights_table(number_of_entries, INVALID_EDGE_WEIGHT);
|
||||||
std::vector<std::size_t> phantom_indices);
|
std::vector<EdgeDuration> durations_table(number_of_entries, MAXIMAL_EDGE_DURATION);
|
||||||
} // mld
|
|
||||||
|
std::vector<NodeBucket> search_space_with_buckets;
|
||||||
|
|
||||||
|
// Populate buckets with paths from all accessible nodes to destinations via backward searches
|
||||||
|
for (std::uint32_t column_idx = 0; column_idx < target_indices.size(); ++column_idx)
|
||||||
|
{
|
||||||
|
const auto index = target_indices[column_idx];
|
||||||
|
const auto &phantom = phantom_nodes[index];
|
||||||
|
|
||||||
|
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
|
||||||
|
facade.GetNumberOfNodes());
|
||||||
|
auto &query_heap = *(engine_working_data.many_to_many_heap);
|
||||||
|
insertTargetInHeap(query_heap, phantom);
|
||||||
|
|
||||||
|
// explore search space
|
||||||
|
while (!query_heap.Empty())
|
||||||
|
{
|
||||||
|
backwardRoutingStep(facade, column_idx, query_heap, search_space_with_buckets, phantom);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
// Order lookup buckets
|
||||||
|
std::sort(search_space_with_buckets.begin(), search_space_with_buckets.end());
|
||||||
|
|
||||||
|
// Find shortest paths from sources to all accessible nodes
|
||||||
|
for (std::uint32_t row_idx = 0; row_idx < source_indices.size(); ++row_idx)
|
||||||
|
{
|
||||||
|
const auto index = source_indices[row_idx];
|
||||||
|
const auto &phantom = phantom_nodes[index];
|
||||||
|
|
||||||
|
// Clear heap and insert source nodes
|
||||||
|
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(
|
||||||
|
facade.GetNumberOfNodes());
|
||||||
|
auto &query_heap = *(engine_working_data.many_to_many_heap);
|
||||||
|
insertSourceInHeap(query_heap, phantom);
|
||||||
|
|
||||||
|
// Explore search space
|
||||||
|
while (!query_heap.Empty())
|
||||||
|
{
|
||||||
|
forwardRoutingStep(facade,
|
||||||
|
row_idx,
|
||||||
|
number_of_targets,
|
||||||
|
query_heap,
|
||||||
|
search_space_with_buckets,
|
||||||
|
weights_table,
|
||||||
|
durations_table,
|
||||||
|
phantom);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
return durations_table;
|
||||||
|
}
|
||||||
|
|
||||||
|
} // namespace mld
|
||||||
|
|
||||||
|
// Dispatcher function for one-to-many and many-to-one tasks that can be handled by MLD differently:
|
||||||
|
//
|
||||||
|
// * one-to-many (many-to-one) tasks use a unidirectional forward (backward) Dijkstra search
|
||||||
|
// with the candidate node level `min(GetQueryLevel(phantom_node, node, phantom_nodes)`
|
||||||
|
// for all destination (source) phantom nodes
|
||||||
|
//
|
||||||
|
// * many-to-many search tasks use a bidirectional Dijkstra search
|
||||||
|
// with the candidate node level `min(GetHighestDifferentLevel(phantom_node, node))`
|
||||||
|
template <>
|
||||||
|
std::vector<EdgeDuration> manyToManySearch(SearchEngineData<mld::Algorithm> &engine_working_data,
|
||||||
|
const DataFacade<mld::Algorithm> &facade,
|
||||||
|
const std::vector<PhantomNode> &phantom_nodes,
|
||||||
|
std::vector<std::size_t> source_indices,
|
||||||
|
std::vector<std::size_t> target_indices)
|
||||||
|
{
|
||||||
|
if (source_indices.size() == 1)
|
||||||
|
{ // TODO: check if target_indices.size() == 1 and do a bi-directional search
|
||||||
|
return mld::oneToManySearch<FORWARD_DIRECTION>(
|
||||||
|
engine_working_data, facade, phantom_nodes, source_indices.front(), target_indices);
|
||||||
|
}
|
||||||
|
|
||||||
|
if (target_indices.size() == 1)
|
||||||
|
{
|
||||||
|
return mld::oneToManySearch<REVERSE_DIRECTION>(
|
||||||
|
engine_working_data, facade, phantom_nodes, target_indices.front(), source_indices);
|
||||||
|
}
|
||||||
|
|
||||||
|
return mld::manyToManySearch(
|
||||||
|
engine_working_data, facade, phantom_nodes, source_indices, target_indices);
|
||||||
|
}
|
||||||
|
|
||||||
} // namespace routing_algorithms
|
} // namespace routing_algorithms
|
||||||
} // namespace engine
|
} // namespace engine
|
Loading…
Reference in New Issue
Block a user