Add storage for cell weights used in the MLD algorithm
This commit is contained in:
committed by
Patrick Niklaus
parent
b2b5e2bb4d
commit
e06ffabf21
@@ -0,0 +1,321 @@
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#ifndef OSRM_UTIL_CELL_STORAGE_HPP
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#define OSRM_UTIL_CELL_STORAGE_HPP
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#include "util/assert.hpp"
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#include "util/for_each_range.hpp"
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#include "util/multi_level_partition.hpp"
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#include "util/typedefs.hpp"
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#include <boost/range/iterator_range.hpp>
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#include <tbb/parallel_sort.h>
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#include <algorithm>
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#include <numeric>
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#include <utility>
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#include <vector>
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namespace osrm
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{
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namespace util
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{
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class CellStorage
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{
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public:
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using WeightOffset = std::uint32_t;
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using BoundaryOffset = std::uint32_t;
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using BoundarySize = std::uint32_t;
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using SourceIndex = std::uint32_t;
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using DestinationIndex = std::uint32_t;
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static constexpr auto INVALID_WEIGHT_OFFSET = std::numeric_limits<WeightOffset>::max();
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static constexpr auto INVALID_BOUNDARY_OFFSET = std::numeric_limits<BoundaryOffset>::max();
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private:
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struct CellData
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{
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WeightOffset weight_offset = INVALID_WEIGHT_OFFSET;
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BoundaryOffset source_boundary_offset = INVALID_BOUNDARY_OFFSET;
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BoundaryOffset destination_boundary_offset = INVALID_BOUNDARY_OFFSET;
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BoundarySize num_source_nodes = 0;
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BoundarySize num_destination_nodes = 0;
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};
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// Implementation of the cell view. We need a template parameter here
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// because we need to derive a read-only and read-write view from this.
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template <typename WeightValueT> class CellImpl
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{
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private:
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using WeightPtrT = WeightValueT *;
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using WeightRefT = WeightValueT &;
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BoundarySize num_source_nodes;
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BoundarySize num_destination_nodes;
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WeightPtrT const weights;
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const NodeID *const source_boundary;
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const NodeID *const destination_boundary;
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using RowIterator = WeightPtrT;
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// Possibly replace with
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// http://www.boost.org/doc/libs/1_55_0/libs/range/doc/html/range/reference/adaptors/reference/strided.html
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class ColumnIterator : public std::iterator<std::random_access_iterator_tag, EdgeWeight>
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{
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public:
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explicit ColumnIterator(WeightPtrT begin, std::size_t row_length)
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: current(begin), stride(row_length)
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{
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BOOST_ASSERT(begin != nullptr);
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}
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WeightRefT operator*() const { return *current; }
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ColumnIterator &operator++()
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{
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current += stride;
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return *this;
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}
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ColumnIterator &operator+=(int amount)
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{
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current += stride * amount;
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return *this;
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}
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bool operator==(const ColumnIterator &other) const { return current == other.current; }
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bool operator!=(const ColumnIterator &other) const { return current != other.current; }
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std::int64_t operator-(const ColumnIterator &other) const
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{
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return (current - other.current) / stride;
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}
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private:
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WeightPtrT current;
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std::size_t stride;
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};
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std::size_t GetRow(NodeID node) const
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{
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auto iter = std::find(source_boundary, source_boundary + num_source_nodes, node);
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BOOST_ASSERT(iter != source_boundary + num_source_nodes);
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return iter - source_boundary;
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}
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std::size_t GetColumn(NodeID node) const
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{
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auto iter =
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std::find(destination_boundary, destination_boundary + num_destination_nodes, node);
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BOOST_ASSERT(iter != destination_boundary + num_destination_nodes);
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return iter - destination_boundary;
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}
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public:
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auto GetOutWeight(NodeID node) const
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{
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auto row = GetRow(node);
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auto begin = weights + num_destination_nodes * row;
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auto end = begin + num_destination_nodes;
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return boost::make_iterator_range(begin, end);
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}
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auto GetInWeight(NodeID node) const
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{
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auto column = GetColumn(node);
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auto begin = ColumnIterator{weights + column, num_destination_nodes};
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auto end = ColumnIterator{weights + column + num_source_nodes * num_destination_nodes,
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num_destination_nodes};
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return boost::make_iterator_range(begin, end);
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}
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auto GetSourceNodes() const
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{
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return boost::make_iterator_range(source_boundary, source_boundary + num_source_nodes);
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}
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auto GetDestinationNodes() const
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{
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return boost::make_iterator_range(destination_boundary,
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destination_boundary + num_destination_nodes);
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}
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CellImpl(const CellData &data,
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WeightPtrT const all_weight,
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const NodeID *const all_sources,
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const NodeID *const all_destinations)
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: num_source_nodes{data.num_source_nodes},
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num_destination_nodes{data.num_destination_nodes},
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weights{all_weight + data.weight_offset},
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source_boundary{all_sources + data.source_boundary_offset},
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destination_boundary{all_destinations + data.destination_boundary_offset}
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{
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BOOST_ASSERT(all_weight != nullptr);
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BOOST_ASSERT(all_sources != nullptr);
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BOOST_ASSERT(all_destinations != nullptr);
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}
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};
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std::size_t LevelIDToIndex(LevelID level) const { return level - 1; }
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public:
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using Cell = CellImpl<EdgeWeight>;
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using ConstCell = CellImpl<const EdgeWeight>;
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template <typename GraphT>
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CellStorage(const MultiLevelPartition &partition, const GraphT &base_graph)
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{
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// pre-allocate storge for CellData so we can have random access to it by cell id
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unsigned number_of_cells = 0;
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for (LevelID level = 1u; level < partition.GetNumberOfLevels(); ++level)
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{
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level_to_cell_offset.push_back(number_of_cells);
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number_of_cells += partition.GetNumberOfCells(level);
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}
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level_to_cell_offset.push_back(number_of_cells);
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cells.resize(number_of_cells);
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std::vector<std::pair<CellID, NodeID>> level_source_boundary;
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std::vector<std::pair<CellID, NodeID>> level_destination_boundary;
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for (LevelID level = 1u; level < partition.GetNumberOfLevels(); ++level)
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{
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auto level_offset = level_to_cell_offset[LevelIDToIndex(level)];
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level_source_boundary.clear();
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level_destination_boundary.clear();
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for (auto node = 0u; node < base_graph.GetNumberOfNodes(); ++node)
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{
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const CellID cell_id = partition.GetCell(level, node);
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bool is_source_node = false;
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bool is_destination_node = false;
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bool is_boundary_node = false;
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for (auto edge : base_graph.GetAdjacentEdgeRange(node))
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{
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auto other = base_graph.GetTarget(edge);
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const auto &data = base_graph.GetEdgeData(edge);
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is_boundary_node |= partition.GetCell(level, other) != cell_id;
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is_source_node |= partition.GetCell(level, other) == cell_id && data.forward;
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is_destination_node |=
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partition.GetCell(level, other) == cell_id && data.backward;
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}
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if (is_boundary_node)
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{
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if (is_source_node)
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level_source_boundary.emplace_back(cell_id, node);
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if (is_destination_node)
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level_destination_boundary.emplace_back(cell_id, node);
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// a partition that contains boundary nodes that have no arcs going into
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// the cells or coming out of it is invalid. These nodes should be reassigned
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// to a different cell.
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BOOST_ASSERT_MSG(
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is_source_node || is_destination_node,
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"Node needs to either have incoming or outgoing edges in cell");
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}
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}
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tbb::parallel_sort(level_source_boundary.begin(), level_source_boundary.end());
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tbb::parallel_sort(level_destination_boundary.begin(),
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level_destination_boundary.end());
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const auto insert_cell_boundary = [this, level_offset](auto &boundary,
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auto set_num_nodes_fn,
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auto set_boundary_offset_fn,
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auto begin,
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auto end) {
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BOOST_ASSERT(std::distance(begin, end) > 0);
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const auto cell_id = begin->first;
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BOOST_ASSERT(level_offset + cell_id < cells.size());
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auto &cell = cells[level_offset + cell_id];
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set_num_nodes_fn(cell, std::distance(begin, end));
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set_boundary_offset_fn(cell, boundary.size());
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std::transform(begin,
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end,
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std::back_inserter(boundary),
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[](const auto &cell_and_node) { return cell_and_node.second; });
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};
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util::for_each_range(
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level_source_boundary.begin(),
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level_source_boundary.end(),
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[this, insert_cell_boundary](auto begin, auto end) {
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insert_cell_boundary(
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source_boundary,
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[](auto &cell, auto value) { cell.num_source_nodes = value; },
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[](auto &cell, auto value) { cell.source_boundary_offset = value; },
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begin,
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end);
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});
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util::for_each_range(
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level_destination_boundary.begin(),
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level_destination_boundary.end(),
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[this, insert_cell_boundary](auto begin, auto end) {
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insert_cell_boundary(
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destination_boundary,
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[](auto &cell, auto value) { cell.num_destination_nodes = value; },
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[](auto &cell, auto value) { cell.destination_boundary_offset = value; },
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begin,
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end);
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});
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}
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// Set weight offsets and calculate total storage size
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WeightOffset weight_offset = 0;
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for (auto &cell : cells)
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{
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cell.weight_offset = weight_offset;
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weight_offset += cell.num_source_nodes * cell.num_destination_nodes;
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}
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weights.resize(weight_offset + 1, INVALID_EDGE_WEIGHT);
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}
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CellStorage(std::vector<EdgeWeight> weights_,
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std::vector<NodeID> source_boundary_,
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std::vector<NodeID> destination_boundary_,
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std::vector<CellData> cells_,
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std::vector<std::size_t> level_to_cell_offset_)
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: weights(std::move(weights_)), source_boundary(std::move(source_boundary_)),
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destination_boundary(std::move(destination_boundary_)), cells(std::move(cells_)),
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level_to_cell_offset(std::move(level_to_cell_offset_))
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{
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}
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ConstCell GetCell(LevelID level, CellID id) const
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{
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const auto level_index = LevelIDToIndex(level);
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BOOST_ASSERT(level_index < level_to_cell_offset.size());
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const auto offset = level_to_cell_offset[level_index];
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const auto cell_index = offset + id;
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BOOST_ASSERT(cell_index < cells.size());
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return ConstCell{
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cells[cell_index], weights.data(), source_boundary.data(), destination_boundary.data()};
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}
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Cell GetCell(LevelID level, CellID id)
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{
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const auto level_index = LevelIDToIndex(level);
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BOOST_ASSERT(level_index < level_to_cell_offset.size());
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const auto offset = level_to_cell_offset[level_index];
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const auto cell_index = offset + id;
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BOOST_ASSERT(cell_index < cells.size());
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return Cell{
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cells[cell_index], weights.data(), source_boundary.data(), destination_boundary.data()};
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}
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private:
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std::vector<EdgeWeight> weights;
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std::vector<NodeID> source_boundary;
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std::vector<NodeID> destination_boundary;
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std::vector<CellData> cells;
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std::vector<std::size_t> level_to_cell_offset;
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};
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}
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}
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#endif
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@@ -0,0 +1,26 @@
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#ifndef OSRM_UTIL_FOR_EACH_RANGE_HPP
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#define OSRM_UTIL_FOR_EACH_RANGE_HPP
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namespace osrm
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{
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namespace util
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{
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template <typename Iter, typename Func> void for_each_range(Iter begin, Iter end, Func f)
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{
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auto iter = begin;
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while (iter != end)
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{
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const auto key = iter->first;
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auto begin_range = iter;
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while (iter != end && iter->first == key)
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{
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iter++;
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}
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f(begin_range, iter);
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}
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}
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}
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}
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#endif
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@@ -0,0 +1,32 @@
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#ifndef OSRM_UTIL_MULTI_LEVEL_PARTITION_HPP
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#define OSRM_UTIL_MULTI_LEVEL_PARTITION_HPP
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#include "util/typedefs.hpp"
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#include <cstdint>
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namespace osrm
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{
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namespace util
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{
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using LevelID = std::uint8_t;
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using CellID = std::uint32_t;
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// Mock interface, can be removed when we have an actual implementation
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class MultiLevelPartition
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{
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public:
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// Returns the cell id of `node` at `level`
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virtual CellID GetCell(LevelID level, NodeID node) const = 0;
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// Returns the highest level in which `first` and `second` are still in different cells
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virtual LevelID GetHighestDifferentLevel(NodeID first, NodeID second) const = 0;
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virtual std::size_t GetNumberOfLevels() const = 0;
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virtual std::size_t GetNumberOfCells(LevelID level) const = 0;
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};
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}
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}
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#endif
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