/* * This program source code file is part of KICAD, a free EDA CAD application. * * Copyright (C) 2013-2017 CERN * Copyright (C) 2019-2022 KiCad Developers, see AUTHORS.txt for contributors. * * @author Maciej Suminski * @author Tomasz Wlostowski * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation; either version 2 * of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, you may find one here: * http://www.gnu.org/licenses/old-licenses/gpl-2.0.html * or you may search the http://www.gnu.org website for the version 2 license, * or you may write to the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA */ /** * @file ratsnest_data.cpp * @brief Class that computes missing connections on a PCB. */ #ifdef PROFILE #include #endif #include #include using namespace std::placeholders; #include #include #include #include class disjoint_set { public: disjoint_set( size_t size ) { m_data.resize( size ); m_depth.resize( size, 0 ); for( size_t i = 0; i < size; i++ ) m_data[i] = i; } int find( int aVal ) { int root = aVal; while( m_data[root] != root ) root = m_data[root]; // Compress the path while( m_data[aVal] != aVal ) { auto& tmp = m_data[aVal]; aVal = tmp; tmp = root; } return root; } bool unite( int aVal1, int aVal2 ) { aVal1 = find( aVal1 ); aVal2 = find( aVal2 ); if( aVal1 != aVal2 ) { if( m_depth[aVal1] < m_depth[aVal2] ) { m_data[aVal1] = aVal2; } else { m_data[aVal2] = aVal1; if( m_depth[aVal1] == m_depth[aVal2] ) m_depth[aVal1]++; } return true; } return false; } private: std::vector m_data; std::vector m_depth; }; void RN_NET::kruskalMST( const std::vector &aEdges ) { disjoint_set dset( m_nodes.size() ); m_rnEdges.clear(); int i = 0; for( const std::shared_ptr& node : m_nodes ) node->SetTag( i++ ); for( const CN_EDGE& tmp : aEdges ) { const std::shared_ptr& source = tmp.GetSourceNode(); const std::shared_ptr& target = tmp.GetTargetNode(); if( dset.unite( source->GetTag(), target->GetTag() ) ) { if( tmp.GetWeight() > 0 ) m_rnEdges.push_back( tmp ); } } } class RN_NET::TRIANGULATOR_STATE { private: std::multiset, CN_PTR_CMP> m_allNodes; // Checks if all nodes in aNodes lie on a single line. Requires the nodes to // have unique coordinates! bool areNodesColinear( const std::vector>& aNodes ) const { if ( aNodes.size() <= 2 ) return true; const VECTOR2I p0( aNodes[0]->Pos() ); const VECTOR2I v0( aNodes[1]->Pos() - p0 ); for( unsigned i = 2; i < aNodes.size(); i++ ) { const VECTOR2I v1 = aNodes[i]->Pos() - p0; if( v0.Cross( v1 ) != 0 ) return false; } return true; } public: void Clear() { m_allNodes.clear(); } void AddNode( std::shared_ptr aNode ) { m_allNodes.insert( aNode ); } void Triangulate( std::vector& mstEdges ) { std::vector node_pts; std::vector> anchors; std::vector< std::vector> > anchorChains( m_allNodes.size() ); node_pts.reserve( 2 * m_allNodes.size() ); anchors.reserve( m_allNodes.size() ); auto addEdge = [&]( const std::shared_ptr& src, const std::shared_ptr& dst ) { mstEdges.emplace_back( src, dst, src->Dist( *dst ) ); }; std::shared_ptr prev = nullptr; for( const std::shared_ptr& n : m_allNodes ) { if( !prev || prev->Pos() != n->Pos() ) { node_pts.push_back( n->Pos().x ); node_pts.push_back( n->Pos().y ); anchors.push_back( n ); prev = n; } anchorChains[anchors.size() - 1].push_back( n ); } if( anchors.size() < 2 ) { return; } else if( areNodesColinear( anchors ) ) { // special case: all nodes are on the same line - there's no // triangulation for such set. In this case, we sort along any coordinate // and chain the nodes together. for( size_t i = 0; i < anchors.size() - 1; i++ ) addEdge( anchors[i], anchors[i + 1] ); } else { delaunator::Delaunator delaunator( node_pts ); auto& triangles = delaunator.triangles; for( size_t i = 0; i < triangles.size(); i += 3 ) { addEdge( anchors[triangles[i]], anchors[triangles[i + 1]] ); addEdge( anchors[triangles[i + 1]], anchors[triangles[i + 2]] ); addEdge( anchors[triangles[i + 2]], anchors[triangles[i]] ); } for( size_t i = 0; i < delaunator.halfedges.size(); i++ ) { if( delaunator.halfedges[i] == delaunator::INVALID_INDEX ) continue; addEdge( anchors[triangles[i]], anchors[triangles[delaunator.halfedges[i]]] ); } } for( size_t i = 0; i < anchorChains.size(); i++ ) { std::vector>& chain = anchorChains[i]; if( chain.size() < 2 ) continue; std::sort( chain.begin(), chain.end(), [] ( const std::shared_ptr& a, const std::shared_ptr& b ) { return a->GetCluster().get() < b->GetCluster().get(); } ); for( unsigned int j = 1; j < chain.size(); j++ ) { const std::shared_ptr& prevNode = chain[j - 1]; const std::shared_ptr& curNode = chain[j]; int weight = prevNode->GetCluster() != curNode->GetCluster() ? 1 : 0; mstEdges.emplace_back( prevNode, curNode, weight ); } } } }; RN_NET::RN_NET() : m_dirty( true ) { m_triangulator.reset( new TRIANGULATOR_STATE ); } void RN_NET::compute() { // Special cases do not need complicated algorithms (actually, it does not work well with // the Delaunay triangulator) if( m_nodes.size() <= 2 ) { m_rnEdges.clear(); // Check if the only possible connection exists if( m_boardEdges.size() == 0 && m_nodes.size() == 2 ) { auto last = ++m_nodes.begin(); // There can be only one possible connection, but it is missing CN_EDGE edge ( *m_nodes.begin(), *last ); edge.GetSourceNode()->SetTag( 0 ); edge.GetTargetNode()->SetTag( 1 ); m_rnEdges.push_back( edge ); } else { // Set tags to m_nodes as connected for( const std::shared_ptr& node : m_nodes ) node->SetTag( 0 ); } return; } m_triangulator->Clear(); for( const std::shared_ptr& n : m_nodes ) m_triangulator->AddNode( n ); std::vector triangEdges; triangEdges.reserve( m_nodes.size() + m_boardEdges.size() ); #ifdef PROFILE PROF_TIMER cnt( "triangulate" ); #endif m_triangulator->Triangulate( triangEdges ); #ifdef PROFILE cnt.Show(); #endif for( const CN_EDGE& e : m_boardEdges ) triangEdges.emplace_back( e ); std::sort( triangEdges.begin(), triangEdges.end() ); // Get the minimal spanning tree #ifdef PROFILE PROF_TIMER cnt2( "mst" ); #endif kruskalMST( triangEdges ); #ifdef PROFILE cnt2.Show(); #endif } void RN_NET::optimizeRNEdges() { auto findZoneAnchor = [&]( const VECTOR2I& aPos, const LSET& aLayerSet, const std::shared_ptr aAnchor ) { SEG::ecoord closest_dist_sq = ( aAnchor->Pos() - aPos ).SquaredEuclideanNorm(); VECTOR2I closest_pt; CN_ITEM* closest_item = nullptr; for( CN_ITEM* item : aAnchor->Item()->ConnectedItems() ) { CN_ZONE_LAYER* zoneLayer = dynamic_cast( item ); if( zoneLayer && aLayerSet.test( zoneLayer->Layer() ) ) { const std::vector& pts = zoneLayer->GetOutline().CPoints(); for( VECTOR2I pt : pts ) { SEG::ecoord dist_sq = ( pt - aPos ).SquaredEuclideanNorm(); if( dist_sq < closest_dist_sq ) { closest_pt = pt; closest_item = zoneLayer; closest_dist_sq = dist_sq; } } } } if( closest_item ) { closest_item->AddAnchor( closest_pt ); return closest_item->GetAnchorItem( closest_item->GetAnchorItemCount() - 1 ); } return aAnchor; }; auto findZoneToZoneAnchors = [&]( std::shared_ptr& a, std::shared_ptr& b ) { for( CN_ITEM* itemA : a->Item()->ConnectedItems() ) { CN_ZONE_LAYER* zoneLayerA = dynamic_cast( itemA ); if( !zoneLayerA ) continue; for( CN_ITEM* itemB : b->Item()->ConnectedItems() ) { CN_ZONE_LAYER* zoneLayerB = dynamic_cast( itemB ); if( zoneLayerB && zoneLayerB->Layer() == zoneLayerA->Layer() ) { // Process the first matching layer. We don't really care if it's // the "best" layer or not, as anything will be better than the // original anchors (which are connected to the zone and so certainly // don't look like they should have ratsnest lines coming off them). VECTOR2I startA = zoneLayerA->GetOutline().GetPoint( 0 ); VECTOR2I startB = zoneLayerB->GetOutline().GetPoint( 0 ); const SHAPE* shapeA = &zoneLayerA->GetOutline(); const SHAPE* shapeB = &zoneLayerB->GetOutline(); int startDist = ( startA - startB ).EuclideanNorm(); VECTOR2I ptA; shapeA->Collide( shapeB, startDist + 10, nullptr, &ptA ); zoneLayerA->AddAnchor( ptA ); a = zoneLayerA->GetAnchorItem( zoneLayerA->GetAnchorItemCount() - 1 ); VECTOR2I ptB; shapeB->Collide( shapeA, startDist + 10, nullptr, &ptB ); zoneLayerB->AddAnchor( ptB ); b = zoneLayerB->GetAnchorItem( zoneLayerB->GetAnchorItemCount() - 1 ); return; } } } }; for( CN_EDGE& edge : m_rnEdges ) { std::shared_ptr source = edge.GetSourceNode(); std::shared_ptr target = edge.GetTargetNode(); if( source->ConnectedItemsCount() == 0 ) { edge.SetTargetNode( findZoneAnchor( source->Pos(), source->Parent()->GetLayerSet(), target ) ); } else if( target->ConnectedItemsCount() == 0 ) { edge.SetSourceNode( findZoneAnchor( target->Pos(), target->Parent()->GetLayerSet(), source ) ); } else { findZoneToZoneAnchors( source, target ); edge.SetSourceNode( source ); edge.SetTargetNode( target ); } } } void RN_NET::Update() { compute(); #ifdef PROFILE PROF_TIMER cnt( "optimize" ); #endif optimizeRNEdges(); #ifdef PROFILE cnt.Show(); #endif m_dirty = false; } void RN_NET::Clear() { m_rnEdges.clear(); m_boardEdges.clear(); m_nodes.clear(); m_dirty = true; } void RN_NET::AddCluster( std::shared_ptr aCluster ) { std::shared_ptr firstAnchor; for( CN_ITEM* item : *aCluster ) { std::vector>& anchors = item->Anchors(); unsigned int nAnchors = dynamic_cast( item ) ? 1 : anchors.size(); if( nAnchors > anchors.size() ) nAnchors = anchors.size(); for( unsigned int i = 0; i < nAnchors; i++ ) { anchors[i]->SetCluster( aCluster ); m_nodes.insert( anchors[i] ); if( firstAnchor ) { if( firstAnchor != anchors[i] ) m_boardEdges.emplace_back( firstAnchor, anchors[i], 0 ); } else { firstAnchor = anchors[i]; } } } } bool RN_NET::NearestBicoloredPair( RN_NET* aOtherNet, VECTOR2I& aPos1, VECTOR2I& aPos2 ) const { bool rv = false; SEG::ecoord distMax_sq = VECTOR2I::ECOORD_MAX; auto verify = [&]( const std::shared_ptr& aTestNode1, const std::shared_ptr& aTestNode2 ) { VECTOR2I diff = aTestNode1->Pos() - aTestNode2->Pos(); SEG::ecoord dist_sq = diff.SquaredEuclideanNorm(); if( dist_sq < distMax_sq ) { rv = true; distMax_sq = dist_sq; aPos1 = aTestNode1->Pos(); aPos2 = aTestNode2->Pos(); } }; std::multiset, CN_PTR_CMP> nodes_b; std::copy_if( m_nodes.begin(), m_nodes.end(), std::inserter( nodes_b, nodes_b.end() ), []( const std::shared_ptr &aVal ) { return !aVal->GetNoLine(); } ); /// Sweep-line algorithm to cut the number of comparisons to find the closest point /// /// Step 1: The outer loop needs to be the subset (selected nodes) as it is a linear search for( const std::shared_ptr& nodeA : aOtherNet->m_nodes ) { if( nodeA->GetNoLine() ) continue; /// Step 2: O( log n ) search to identify a close element ordered by x /// The fwd_it iterator will move forward through the elements while /// the rev_it iterator will move backward through the same set auto fwd_it = nodes_b.lower_bound( nodeA ); auto rev_it = std::make_reverse_iterator( fwd_it ); for( ; fwd_it != nodes_b.end(); ++fwd_it ) { const std::shared_ptr& nodeB = *fwd_it; SEG::ecoord distX_sq = SEG::Square( nodeA->Pos().x - nodeB->Pos().x ); /// As soon as the x distance (primary sort) is larger than the smallest distance, /// stop checking further elements if( distX_sq > distMax_sq ) break; verify( nodeA, nodeB ); } /// Step 3: using the same starting point, check points backwards for closer points for( ; rev_it != nodes_b.rend(); ++rev_it ) { const std::shared_ptr& nodeB = *rev_it; SEG::ecoord distX_sq = SEG::Square( nodeA->Pos().x - nodeB->Pos().x ); if( distX_sq > distMax_sq ) break; verify( nodeA, nodeB ); } } return rv; }