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https://github.com/a-b-street/abstreet.git
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Be smarter with LTN impact prediction memory usage.
... but this doesn't actually fix the mysterious crash in Camden and other maps?!
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@ -4,7 +4,9 @@ use abstio::MapName;
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use abstutil::{prettyprint_usize, Counter, Timer};
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use geom::{Distance, Histogram, Statistic};
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use map_gui::tools::{cmp_count, ColorScale, DivergingScale};
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use map_model::{IntersectionID, Map, PathRequest, PathStepV2, PathfinderCaching, RoadID};
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use map_model::{
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IntersectionID, Map, PathRequest, PathStepV2, PathfinderCaching, RoadID, RoutingParams,
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};
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use sim::{Scenario, TripEndpoint, TripMode};
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use widgetry::mapspace::{ObjectID, World};
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use widgetry::{Color, EventCtx, Line, Text};
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@ -85,30 +87,16 @@ impl Results {
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// Before the filters. These don't change with no filters, so only calculate once per map
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if self.before_road_counts.is_empty() {
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self.before_road_counts = Counter::new();
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self.before_intersection_counts = Counter::new();
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for path in timer
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.parallelize(
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"calculate routes before filters",
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self.all_driving_trips.clone(),
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|req| map.pathfind_v2(req),
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)
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.into_iter()
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.flatten()
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{
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for step in path.get_steps() {
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// No Contraflow steps for driving paths
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match step {
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PathStepV2::Along(dr) => {
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self.before_road_counts.inc(dr.road);
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}
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PathStepV2::Movement(m) => {
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self.before_intersection_counts.inc(m.parent);
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}
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_ => {}
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}
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}
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}
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let (roads, intersections) = count_throughput(
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&self.all_driving_trips,
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map,
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map.routing_params().clone(),
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PathfinderCaching::NoCache,
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timer,
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);
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self.before_road_counts = roads;
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self.before_intersection_counts = intersections;
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self.before_world = make_world(ctx, app);
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ranked_roads(
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ctx,
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@ -127,32 +115,21 @@ impl Results {
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}
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// After the filters
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self.after_road_counts = Counter::new();
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self.after_intersection_counts = Counter::new();
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{
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let mut params = map.routing_params().clone();
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app.session.modal_filters.update_routing_params(&mut params);
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for path in timer
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.parallelize(
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"calculate routes after filters",
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self.all_driving_trips.clone(),
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|req| map.pathfind_v2_with_params(req, ¶ms, PathfinderCaching::CacheDijkstra),
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)
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.into_iter()
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.flatten()
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{
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for step in path.get_steps() {
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// No Contraflow steps for driving paths
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match step {
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PathStepV2::Along(dr) => {
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self.after_road_counts.inc(dr.road);
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}
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PathStepV2::Movement(m) => {
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self.after_intersection_counts.inc(m.parent);
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}
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_ => {}
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}
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}
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}
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// Since we're making so many requests, it's worth it to rebuild a contraction
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// hierarchy. And since we're single-threaded, no complications there.
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let (roads, intersections) = count_throughput(
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&self.all_driving_trips,
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map,
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params,
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PathfinderCaching::CacheCH,
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timer,
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);
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self.after_road_counts = roads;
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self.after_intersection_counts = intersections;
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self.after_world = make_world(ctx, app);
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ranked_roads(
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ctx,
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@ -168,6 +145,7 @@ impl Results {
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&self.after_intersection_counts,
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&app.cs.good_to_bad_red,
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);
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}
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self.recalculate_relative_diff(ctx, app);
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}
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@ -297,3 +275,42 @@ fn ranked_intersections(
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}
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}
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}
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fn count_throughput(
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requests: &[PathRequest],
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map: &Map,
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params: RoutingParams,
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cache_custom: PathfinderCaching,
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timer: &mut Timer,
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) -> (Counter<RoadID>, Counter<IntersectionID>) {
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let mut road_counts = Counter::new();
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let mut intersection_counts = Counter::new();
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// It's very memory intensive to calculate all of the paths in one chunk, then process them to
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// get counts. Increment the counters as we go.
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//
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// TODO But that makes it hard to use timer.parallelize for this. We could make a thread-local
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// Counter and aggregte them at the end, but the way timer.parallelize uses scoped_threadpool
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// right now won't let that work. Stick to single-threaded for now.
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timer.start_iter("calculate routes", requests.len());
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for req in requests {
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timer.next();
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if let Ok(path) = map.pathfind_v2_with_params(req.clone(), ¶ms, cache_custom) {
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for step in path.get_steps() {
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// No Contraflow steps for driving paths
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match step {
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PathStepV2::Along(dr) => {
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road_counts.inc(dr.road);
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}
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PathStepV2::Movement(m) => {
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intersection_counts.inc(m.parent);
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}
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_ => {}
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}
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}
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}
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}
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(road_counts, intersection_counts)
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}
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