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Make RRT pathfinding a cfg feature
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c2c4429750
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1
Cargo.lock
generated
1
Cargo.lock
generated
@ -5873,6 +5873,7 @@ dependencies = [
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"fxhash",
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"hashbrown 0.11.2",
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"indexmap",
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"kiddo",
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"lazy_static",
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"num-derive",
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"num-traits",
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@ -11,6 +11,7 @@ simd = ["vek/platform_intrinsics"]
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bin_csv = ["ron", "csv", "structopt"]
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bin_graphviz = ["petgraph"]
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bin_cmd_doc_gen = []
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rrt_pathfinding = ["kiddo"]
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default = ["simd"]
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@ -25,8 +26,6 @@ serde = { version = "1.0.110", features = ["derive", "rc"] }
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# Util
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enum-iterator = "0.6"
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vek = { version = "=0.14.1", features = ["serde"] }
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# Used for RRT pathfinding (disabled until flight controls are improved)
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# kiddo = "0.1"
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# Strum
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strum = { version = "0.21", features = ["derive"] }
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@ -65,6 +64,8 @@ csv = { version = "1.1.3", optional = true }
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structopt = { version = "0.3.13", optional = true }
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# graphviz exporters
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petgraph = { version = "0.5.1", optional = true }
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# K-d trees used for RRT pathfinding
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kiddo = { version = "0.1", optional = true }
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# Data structures
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hashbrown = { version = "0.11", features = ["rayon", "serde", "nightly"] }
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@ -5,9 +5,13 @@ use crate::{
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};
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use common_base::span;
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use hashbrown::hash_map::DefaultHashBuilder;
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//use kiddo::{distance::squared_euclidean, KdTree}; // For RRT paths (disabled
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// for now)
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#[cfg(rrt_pathfinding)] use hashbrown::HashMap;
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#[cfg(rrt_pathfinding)]
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use kiddo::{distance::squared_euclidean, KdTree}; // For RRT paths (disabled for now)
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#[cfg(rrt_pathfinding)]
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use rand::distributions::Uniform;
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use rand::{thread_rng, Rng};
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#[cfg(rrt_pathfinding)] use std::f32::consts::PI;
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use std::iter::FromIterator;
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use vek::*;
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@ -416,10 +420,10 @@ impl Chaser {
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{
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self.last_search_tgt = Some(tgt);
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let (path, complete) = /*if traversal_cfg.can_fly {
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// NOTE: Enable air paths when air braking has been figured out
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let (path, complete) = /*if cfg!(rrt_pathfinding) && traversal_cfg.can_fly {
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find_air_path(vol, pos, tgt, &traversal_cfg)
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} else */{
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// Enable air paths when air braking has been figured out
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find_path(&mut self.astar, vol, pos, tgt, &traversal_cfg)
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};
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@ -669,7 +673,6 @@ where
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}
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// Enable when airbraking/sensible flight is a thing
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/*
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/// Attempts to find a path from a start to the end using an informed
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/// RRT-Connect algorithm. A point is sampled from a bounding spheroid
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/// between the start and end. Two separate rapidly exploring random
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@ -680,6 +683,7 @@ where
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/// with wider gaps, such as flying through a forest than for terrain
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/// with narrow gaps, such as navigating a maze.
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/// Returns a path and whether that path is complete or not.
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#[cfg(rrt_pathfinding)]
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fn find_air_path<V>(
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vol: &V,
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startf: Vec3<f32>,
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@ -698,19 +702,10 @@ where
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.ray(startf + Vec3::unit_z(), endf + Vec3::unit_z())
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.until(Block::is_opaque)
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.cast()
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.0.powi(2)
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>= total_dist_sqrd {
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//let step = (endf - startf).normalized().map(|a| a * radius);
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//let mut node: Vec3<f32>;
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//// Maximum of 500 steps
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//for i in 1..500 {
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// node = startf + step.map(|s| s * i as f32);
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// path.push(endf.map(|e| e.floor() as i32));
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// if node.distance_squared(endf) < radius{
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// connect = true;
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// break;
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// }
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//}
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.0
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.powi(2)
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>= total_dist_sqrd
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{
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path.push(endf.map(|e| e.floor() as i32));
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connect = true;
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// Else use RRTs
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@ -722,7 +717,8 @@ where
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.0
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.powi(2)
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> (*start).distance_squared(*end)
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//vol.get(*pos).ok().copied().unwrap_or_else(Block::empty).is_fluid();
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//vol.get(*pos).ok().copied().unwrap_or_else(Block::empty).
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// is_fluid();
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};
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let mut node_index1: usize = 0;
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let mut node_index2: usize = 0;
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@ -795,8 +791,10 @@ where
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let nearest2 = nodes2[nearest_index2];
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// Extend toward the sampled point from the nearest node of each tree
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let new_point1 = nearest1 + (sampled_point1 - nearest1).normalized().map(|a| a * radius);
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let new_point2 = nearest2 + (sampled_point2 - nearest2).normalized().map(|a| a * radius);
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let new_point1 =
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nearest1 + (sampled_point1 - nearest1).normalized().map(|a| a * radius);
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let new_point2 =
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nearest2 + (sampled_point2 - nearest2).normalized().map(|a| a * radius);
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// Ensure the new nodes are valid/traversable
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if is_traversable(&nearest1, &new_point1) {
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@ -889,7 +887,8 @@ where
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}
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path1.push(nodes1[current_node_index1].map(|e| e.floor() as i32));
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// Construct the path
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while current_node_index1 != 0 && nodes1[current_node_index1].distance_squared(startf) > 4.0
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while current_node_index1 != 0
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&& nodes1[current_node_index1].distance_squared(startf) > 4.0
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{
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current_node_index1 = *parents1.get(¤t_node_index1).unwrap_or(&0);
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path1.push(nodes1[current_node_index1].map(|e| e.floor() as i32));
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@ -913,7 +912,8 @@ where
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let next_node = path[next_idx];
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let start_pos = node.map(|e| e as f32 + 0.5);
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let end_pos = next_node.map(|e| e as f32 + 0.5);
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if vol.ray(start_pos, end_pos)
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if vol
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.ray(start_pos, end_pos)
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.until(Block::is_solid)
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.cast()
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.0
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@ -931,9 +931,7 @@ where
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}
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(Some(path.into_iter().collect()), connect)
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}
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*/
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/*
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/// Returns a random point within a radially symmetrical ellipsoid with given
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/// foci and a `search parameter` to determine the size of the ellipse beyond
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/// the foci. Technically the point is within a prolate spheroid translated and
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@ -945,6 +943,7 @@ where
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/// greater than zero. In order to increase the sample area, the
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/// search_parameter should be increased linearly as the search continues.
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#[allow(clippy::many_single_char_names)]
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#[cfg(rrt_pathfinding)]
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pub fn point_on_prolate_spheroid(
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focus1: Vec3<f32>,
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focus2: Vec3<f32>,
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@ -1059,4 +1058,3 @@ pub fn point_on_prolate_spheroid(
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// let global_coords = midpoint + rot_2_mat * (rot_z_mat * point);
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midpoint + rot_2_mat * point
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}
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*/
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