Crate sqrid[−][src]
Expand description
sqrid provides square grid coordinates and related operations, in a crate with zero dependencies.
It’s easier to explain the features of this crate in terms of the types it provides:
Qa: position, as absolute coordinates in a grid of fixed size. The dimensions of the grid are const generics type parameters; invalid coordinates can’t be created.Qr: “movement”, relative coordinates. These are the cardinal (and intercardinal) directions. Addition is implemented in the form ofQa + Qr = Option<Qa>, which can beNoneif the result is outside the grid.Grid: aQa-indexed array.Gridbool: a bitmap-backedQa-indexed grid of booleans.Sqrid: “factory” type that acts as an entry point to the fundamental types below and to algorithms.
Besides these fundamental types, as also have algorithm modules:
bf: breadth-first iteration and search.astar: A* search that takes a destinationQa.ucs: uniform-cost search.
All basic types have the standard iter, iter_mut, extend,
as_ref, and conversion operations that should be expected.
Fundamental types
Qa: absolute coordinates, position
The Qa type represents an absolute position in a square
grid. The type itself receives the height and width of the grid as
const generic parameter.
We should usually create a type alias for the grid size we are using:
use sqrid;
type Qa = sqrid::Qa<6, 7>;We can only generate Qa instances that are valid - i.e. inside
the grid. Some of the ways to create instances:
- Using one of the const associated items:
Qa::FIRSTandQa::LAST;Qa::TOP_LEFT, etc.;Qa::CENTER. - Using
try_fromwith a(i16, i16)tuple or a tuple reference. - Calling
Qa::new, which checks the bounds in const contexts:The following, for instance, doesn’t compile:type Qa = sqrid::Qa<6, 7>; const MY_FIRST : Qa = Qa::new::<3, 4>();ⓘtype Qa = sqrid::Qa<6, 7>; const MY_FIRST : Qa = Qa::new::<12, 4>();
Qr: relative coordinates, direction, movement
The Qr type represents a relative movement of one square. It
can only be one of the 8 cardinal and intercardinal directions:
Qr::N, Qr::NE, Qr::E, Qr::SE, Qr::S,
Qr::SW, Qr::W, Qr::NW.
It’s a building block for paths, iterating on a Qa neighbors,
etc. It effectively represents the edges in a graph where the
Qa type represents nodes.
All functions that iterate on Qr values accept a boolean const
argument that specifies whether the intercardinal directions
(NE, SE, SW, NW) should be considered.
Grid: a Qa-indexed array
A Grid is a generic array that can be indexed by a Qa.
We can create the type from a suitable Sqrid type by using the
grid_create macro. We can then interact with specific lines
with Grid::line and Grid::line_mut, or with the whole
underlying array with as_ref (see std::convert::AsRef) and
as_mut (see std::convert::AsMut).
Usage example:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
type Grid = sqrid::grid_create!(Sqrid, i32);
// The grid create macro above is currently equivalent to:
type Grid2 = sqrid::Grid<i32, { Sqrid::WIDTH }, { Sqrid::HEIGHT },
{ (Sqrid::WIDTH * Sqrid::HEIGHT) as usize }>;
// We can create grids from iterators via `collect`:
let mut gridnums = (0..9).collect::<Grid>();
// Iterate on their members:
for i in &gridnums {
println!("i {}", i);
}
// Change the members in a loop:
for i in &mut gridnums {
*i *= 10;
}
// Iterate on (coordinate, member) tuples:
for (qa, &i) in gridnums.iter_qa() {
println!("[{}] = {}", qa, i);
}
// And we can always use `as_ref` or `as_mut` to interact with the
// inner array directly. To reverse it, for example, with the
// [`std::slice::reverse`] function:
gridnums.as_mut().reverse();Gridbool: a bitmap-backed Qa-indexed grid of booleans
The Gridbool is a compact abstraction of a grid of booleans.
The type itself can be created with gridbool_create macro.
It’s optimized for getting and setting values at specific
coordinates, but we can also get all true/false coordinates
with suboptimal performance - in this case, the time is
proportional to the size of the grid and not to the quantity of
true/false values.
Usage example:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
type Gridbool = sqrid::gridbool_create!(Sqrid);
// We can create a gridbool from a Qa iterator via `collect`:
let mut gb = Qa::iter().filter(|qa| qa.is_corner()).collect::<Gridbool>();
// We can also set values from an iterator:
gb.set_iter_t(Qa::iter().filter(|qa| qa.is_side()));
// Iterate on the true/false values:
for b in gb.iter() {
println!("{}", b);
}
// Iterate on the true coordinates:
for qa in gb.iter_t() {
assert!(qa.is_side());
}
// Iterate on (coordinate, bool):
for (qa, b) in gb.iter_qa() {
println!("[{}] = {}", qa, b);
}Sqrid: entry point for algorithms
The Qa type and some methods on the Qr type require const
generic arguments that usually don’t change inside an application.
Both Grid and Gridbool also require further arguments that
can actually be derived from the width and height of the grid, but
that have to be explicitly specified due to some Rust limitations.
To make the creation of these types easier, we provide the
Sqrid type, which acumulates all const generic parameters and
can be used to create the other types via macros.
Example usage:
type Sqrid = sqrid::sqrid_create!(4, 4, false);
type Qa = sqrid::qa_create!(Sqrid);
type Grid = sqrid::grid_create!(Sqrid, i32);
type Gridbool = sqrid::gridbool_create!(Sqrid);Algorithms
Breadth-first traversal
The Sqrid::bf_iter function instantiates an iterator struct
(BfIterator) that can be used to iterate coordinates in
breadth-first order, from a given origin, using a provided
function to evaluate a given Qa position + Qr direction
into the next Qa position.
Example usage:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
for (qa, qr) in Sqrid::bf_iter(sqrid::qaqr_eval, &Qa::CENTER)
.flatten() {
println!("breadth-first qa {} from {}", qa, qr);
}Breadth-first search
Sqrid::bfs_path takes an origin, a movement function and a
goal function, and figures out the shortest path to a goal by
using a breadth-first iteration.
The function returns the Qa that fulfills the goal and a
path in the form of a Vec<Qr>.
Example usage:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
// Generate the grid of "came from" directions from bottom-right to
// top-left:
if let Ok((goal, path)) = Sqrid::bfs_path(
sqrid::qaqr_eval, &Qa::TOP_LEFT,
|qa| qa == Qa::BOTTOM_RIGHT) {
println!("goal: {}, path: {:?}", goal, path);
}A* search
Sqrid::astar_path takes a movement function, an origin and a
destination, and figures out the shortest path by using A*.
The function returns path in the form of a Vec<Qr>.
Example usage:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
// Generate the grid of "came from" directions from bottom-right to
// top-left:
if let Ok(path) = Sqrid::astar_path(sqrid::qaqr_eval, &Qa::TOP_LEFT,
&Qa::BOTTOM_RIGHT) {
println!("path: {:?}", path);
}Uniform-cost search
Sqrid::ucs_path takes a movement-cost function, an origin and a
destination, and figures out the path with the lowest cost by using
uniform-cost search, which is essentially a variation of
Dijkstra.
The function returns path in the form of a Vec<Qr>.
Example usage:
type Sqrid = sqrid::sqrid_create!(3, 3, false);
type Qa = sqrid::qa_create!(Sqrid);
fn traverse(position: Qa, direction: sqrid::Qr) -> Option<(Qa, usize)> {
let next_position = (position + direction)?;
let cost = 1;
Some((next_position, cost))
}
// Generate the grid of "came from" directions from bottom-right to
// top-left:
if let Ok(path) = Sqrid::ucs_path(traverse, &Qa::TOP_LEFT,
&Qa::BOTTOM_RIGHT) {
println!("path: {:?}", path);
}Modules
A* search algorithm module
Zero-dependency module that holds Sqrid
Breadth-first traversal and search module
sqrid errors
Space-optimized grid of booleans using bitmaps
Square grid absolute coordinates (position) and associated functionality
Interaction between Qa and Qr
Square grid relative coordinates (movement) and associated functionality
Uniform-cost search algorithm module
Macros
Helper macro for grid type creation.
Helper macro for Gridbool type creation.
Helper macro to a Qa type from an super::base::Sqrid.
Creates the a Sqrid type from the provided parameters: width,
height and diagonals
Structs
Internal A* iterator
Breadth-first iterator
Space-optimized grid of booleans using bitmaps
Square grid absolute coordinate
Iterator for sqrid coordinates
Iterator for a specific column
Iterator for a specific line
Iterator for sqrid coordinates inside a square range
Sqrid base “factory” type
Internal UCS iterator
Enums
Traits
Functions
Create new breadth-first iterator
Create new breadth-first iterator using the
BTreeMap type internally
Create new breadth-first iterator using Grid internally
Create new breadth-first iterator using the
HashMap] type internally
Grid Display helper function
Make a breadth-first search, return the “came from” direction MapQa
Make an A* search, return the “came from” direction MapQa
Make a UCS search, return the “came from” direction MapQa
Makes a breadth-first search, returns the path as a Vec<Qr>
Makes an A* search, returns the path as a Vec<Qr>
Makes a UCS search, returns the path as a Vec<Qr>
Makes an BF search using the BTreeMap type,
returns the path as a Vec<Qr>
Makes an A* search using the BTreeMap type,
returns the path as a Vec<Qr>
Makes a UCS search using the BTreeMap type,
returns the path as a Vec<Qr>
Makes an BF search using Grid, returns the path as a Vec<Qr>
Makes an A* search using Grid, returns the path as a Vec<Qr>
Makes a UCS search using Grid, returns the path as a Vec<Qr>
Makes an BF search using the HashMap type,
returns the path as a Vec<Qr>
Makes an A* search using the HashMap] type,
returns the path as a Vec<Qr>
Makes a UCS search using the HashMap type,
returns the path as a Vec<Qr>
Type Definitions
The type for the cost of a step inside a path
