mirror of https://codeberg.org/topola/topola.git
refactor(autorouter/presorter): Move some SCC code to new file
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a703b1ec4e
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c120a43d04
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@ -18,6 +18,7 @@ pub mod presorter;
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pub mod ratline;
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pub mod ratsnest;
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pub mod remove_bands;
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pub mod scc;
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pub mod selection;
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pub use autorouter::*;
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@ -6,13 +6,12 @@ use std::iter::Skip;
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use enum_dispatch::enum_dispatch;
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use itertools::{Itertools, Permutations};
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use petgraph::graph::NodeIndex;
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use specctra_core::mesadata::AccessMesadata;
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use crate::{
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autorouter::{
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autoroute::AutorouteExecutionStepper, presorter::SccIntersectionsAndLengthPresorter,
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ratline::RatlineIndex, Autorouter, AutorouterOptions,
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ratline::RatlineIndex, scc::Scc, Autorouter, AutorouterOptions,
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},
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drawing::graph::MakePrimitiveRef,
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geometry::{GenericNode, GetLayer},
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@ -51,7 +50,7 @@ impl RatlinesPermuter {
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}
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pub struct SccPermutationsRatlinePermuter {
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sccs_permutations_iter: Skip<Permutations<std::vec::IntoIter<Vec<NodeIndex<usize>>>>>,
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sccs_permutations_iter: Skip<Permutations<std::vec::IntoIter<Scc>>>,
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original_ratlines: Vec<RatlineIndex>,
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}
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@ -85,14 +84,14 @@ impl PermuteRatlines for SccPermutationsRatlinePermuter {
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for scc in scc_permutation {
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for ratline in self.original_ratlines.iter() {
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if scc.contains(
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if scc.node_indices().contains(
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&autorouter
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.ratsnest()
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.graph()
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.edge_endpoints(*ratline)
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.unwrap()
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.0,
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) && scc.contains(
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) && scc.node_indices().contains(
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&autorouter
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.ratsnest()
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.graph()
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@ -6,14 +6,10 @@ use std::cmp::Ordering;
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use derive_getters::{Dissolve, Getters};
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use enum_dispatch::enum_dispatch;
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use petgraph::{algo::tarjan_scc, graph::NodeIndex};
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use petgraph::algo::tarjan_scc;
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use specctra_core::mesadata::AccessMesadata;
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use crate::{
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autorouter::{ratline::RatlineIndex, Autorouter},
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geometry::shape::MeasureLength,
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graph::MakeRef,
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};
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use crate::autorouter::{ratline::RatlineIndex, scc::Scc, Autorouter};
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#[enum_dispatch]
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pub trait PresortRatlines {
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@ -31,7 +27,7 @@ pub enum RatlinesPresorter {
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#[derive(Getters, Dissolve)]
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pub struct SccIntersectionsAndLengthPresorter {
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sccs: Vec<Vec<NodeIndex<usize>>>,
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sccs: Vec<Scc>,
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}
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impl SccIntersectionsAndLengthPresorter {
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@ -43,103 +39,21 @@ impl SccIntersectionsAndLengthPresorter {
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let mut filtered_ratsnest = autorouter.ratsnest().graph().clone();
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filtered_ratsnest.retain_edges(|_g, i| ratlines.contains(&i));
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let mut sccs = tarjan_scc(&filtered_ratsnest);
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let mut sccs: Vec<_> = tarjan_scc(&filtered_ratsnest)
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.into_iter()
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.map(|node_indices| Scc::new(autorouter, ratlines, &filtered_ratsnest, node_indices))
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.collect();
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sccs.sort_unstable_by(|a, b| {
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// FIXME: These calculations should probably be stored somewhere
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// instead of being done every time.
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let mut a_intersector_count = 0;
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let mut b_intersector_count = 0;
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let mut a_length = 0.0;
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let mut b_length = 0.0;
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// FIXME: It's inefficient to iterate over the ratlines on every
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// sort comparison. But this is the simplest solution I arrived
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// at after realizing that `.tarjan_scc(...)` does not sort nodes
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// inside components.
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for ratline in ratlines.iter() {
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if a.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().0)
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&& a.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().1)
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{
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a_length += ratline.ref_(autorouter).length();
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a_intersector_count +=
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ratline.ref_(autorouter).interiorly_cut_ratlines().count();
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a_intersector_count +=
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ratline.ref_(autorouter).cut_other_net_primitives().count();
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}
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}
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for ratline in ratlines.iter() {
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if b.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().0)
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&& b.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().1)
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{
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b_length += ratline.ref_(autorouter).length();
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b_intersector_count +=
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ratline.ref_(autorouter).interiorly_cut_ratlines().count();
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b_intersector_count +=
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ratline.ref_(autorouter).cut_other_net_primitives().count();
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}
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}
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let primary_ordering = a_intersector_count.cmp(&b_intersector_count);
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let primary_ordering = a.intersector_count().cmp(&b.intersector_count());
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if primary_ordering != Ordering::Equal {
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primary_ordering
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} else {
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let secondary_ordering = a_length.total_cmp(&b_length);
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let secondary_ordering = a.length().total_cmp(&b.length());
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secondary_ordering
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}
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// Below is how I tried to do this before I realized that
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// `.tarjan_scc(...)` does not sort nodes inside components.
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/*let a_intersector_count: usize = a
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.windows(2)
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.map(|window| {
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let ratline = filtered_ratsnest.find_edge(window[0], window[1]).unwrap();
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ratline
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.ref_(autorouter)
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.interior_obstacle_ratlines()
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.count()
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})
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.sum();
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let b_intersector_count: usize = b
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.windows(2)
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.map(|window| {
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let ratline = filtered_ratsnest.find_edge(window[0], window[1]).unwrap();
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ratline
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.ref_(autorouter)
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.interior_obstacle_ratlines()
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.count()
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})
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.sum();
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let primary_ordering = a_intersector_count.cmp(&b_intersector_count);
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if primary_ordering != Ordering::Equal {
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primary_ordering
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} else {
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let a_length: f64 = a
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.windows(2)
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.map(|window| {
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let ratline = filtered_ratsnest.find_edge(window[0], window[1]).unwrap();
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ratline.ref_(autorouter).length()
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})
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.sum();
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let b_length: f64 = b
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.windows(2)
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.map(|window| {
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let ratline = filtered_ratsnest.find_edge(window[0], window[1]).unwrap();
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ratline.ref_(autorouter).length()
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})
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.sum();
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let secondary_ordering = a_length.total_cmp(&b_length);
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secondary_ordering
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}*/
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});
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Self { sccs }
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@ -156,21 +70,7 @@ impl PresortRatlines for SccIntersectionsAndLengthPresorter {
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for scc in self.sccs.iter() {
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for ratline in ratlines.iter() {
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if scc.contains(
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&autorouter
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.ratsnest()
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.graph()
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.edge_endpoints(*ratline)
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.unwrap()
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.0,
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) && scc.contains(
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&autorouter
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.ratsnest()
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.graph()
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.edge_endpoints(*ratline)
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.unwrap()
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.1,
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) {
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if scc.scc_ref(autorouter).contains(*ratline) {
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presorted_ratlines.push(*ratline);
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}
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}
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@ -0,0 +1,96 @@
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// SPDX-FileCopyrightText: 2025 Topola contributors
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//
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// SPDX-License-Identifier: MIT
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use derive_getters::Getters;
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use petgraph::{graph::NodeIndex, prelude::StableUnGraph};
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use specctra_core::mesadata::AccessMesadata;
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use crate::{
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autorouter::{
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ratline::{RatlineIndex, RatlineWeight},
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ratsnest::RatvertexWeight,
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Autorouter,
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},
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geometry::shape::MeasureLength,
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graph::MakeRef,
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};
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#[derive(Clone, Debug, Getters)]
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pub struct Scc {
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node_indices: Vec<NodeIndex<usize>>,
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length: f64,
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intersector_count: usize,
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}
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impl Scc {
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pub fn new(
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autorouter: &mut Autorouter<impl AccessMesadata>,
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ratlines: &[RatlineIndex],
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filtered_ratsnest: &StableUnGraph<RatvertexWeight, RatlineWeight, usize>,
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node_indices: Vec<NodeIndex<usize>>,
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) -> Self {
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let mut this = Self {
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node_indices,
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length: 0.0,
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intersector_count: 0,
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};
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for ratline in ratlines.iter() {
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if this
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.node_indices
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.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().0)
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&& this
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.node_indices
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.contains(&filtered_ratsnest.edge_endpoints(*ratline).unwrap().1)
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{
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this.length += ratline.ref_(autorouter).length();
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this.intersector_count +=
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ratline.ref_(autorouter).interiorly_cut_ratlines().count();
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this.intersector_count +=
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ratline.ref_(autorouter).cut_other_net_primitives().count();
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}
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}
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this
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}
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pub fn scc_ref<'a, M: AccessMesadata>(
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&'a self,
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autorouter: &'a Autorouter<M>,
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) -> SccRef<'a, M> {
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SccRef::new(self, autorouter)
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}
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}
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pub struct SccRef<'a, M: AccessMesadata> {
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scc: &'a Scc,
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autorouter: &'a Autorouter<M>,
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}
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impl<'a, M: AccessMesadata> SccRef<'a, M> {
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pub fn new(scc: &'a Scc, autorouter: &'a Autorouter<M>) -> Self {
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Self { scc, autorouter }
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}
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pub fn contains(&self, ratline: RatlineIndex) -> bool {
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self.scc.node_indices().contains(
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&self
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.autorouter
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.ratsnest()
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.graph()
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.edge_endpoints(ratline)
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.unwrap()
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.0,
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) && self.scc.node_indices().contains(
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&self
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.autorouter
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.ratsnest()
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.graph()
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.edge_endpoints(ratline)
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.unwrap()
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.1,
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)
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}
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}
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