[][src]Struct hierarchical_pathfinding::PathCacheConfig

pub struct PathCacheConfig {
    pub chunk_size: usize,
    pub cache_paths: bool,
    pub keep_insertions: bool,
    pub use_nearby_nodes_for_search: bool,
    pub a_star_fallback: bool,
    pub perfect_paths: bool,
}

Options for configuring the PathCache

Default options:

assert_eq!(
    PathCacheConfig {
        chunk_size: 8,
        cache_paths: true,
        keep_insertions: true,
        use_nearby_nodes_for_search: true,
        a_star_fallback: true,
        perfect_paths: false,
    },
    Default::default()
);

Fields

chunk_size: usize

The size of the individual Chunks (defaults to 8)

tl;dr: Depends highly on the size of your Grid and Lengths of your Paths; requires Experimentation if you care

Rough guide: integer divisor of the Grid size and somewhere between 8 and 32. (don't quote me on this)

This has many different effects on the Performance and Memory: smaller chunks make calculations within a Chunk faster

  • => decreased update time in tiles_changed
  • => decreased Node insertion time for start and end Nodes during find_path
  • => may decrease initial calculation (less work within a chunk)

bigger chunks lead to fewer Chunks and Nodes

  • => decreased time of actual search (especially for unreachable goals)
  • => longer Paths can be found a lot faster
  • => may decrease initial calculation (fewer chunks)
cache_paths: bool

true (default): store the Paths inside each Chunk.

false: only store the Cost of the Path.

If set to false, calculating the full Path between two Points takes significantly more time. See AbstractPath for more details.

keep_insertions: bool

true (default): any Points inserted when calling find_path or find_paths are left in the Graph.

false: the Points are deleted at the end of those functions.

Keeping Points slightly increases future search times and memory usage, but makes searches to or from those same Points a lot faster.

use_nearby_nodes_for_search: bool

true (default): Allows the use of a neighboring Node for start and end Nodes when searching Paths instead of always inserting a new Node.

false: creates a new one if there is no Node on the exact Tile.

This drastically improves Performance and Memory usage of searches, but may result in the first or last step of a Path being a detour to get to that Neighbor.

This is overwritten by perfect_paths

a_star_fallback: bool

true (default): When a Path is short (roughly Length < 2 * chunk_size), a regular A* search is performed on the Grid after HPA* calculated a Path to confirm the existence and length.

false: The Paths are left as they are.

Setting this option to false will improve performance a bit, but the Paths will take seemingly random detours that makes them longer than they should be.

perfect_paths: bool

true: Nodes are placed on every open entrance of a Chunk. This means that the resulting Paths are always the most optimal ones, but both Memory Usage and Performance are worse.

false (default): Nodes are placed on only some chunk entrances.

The exact effect depends greatly on the Grid and how the Chunks and their entrances align.

setting this is true, overwrites use_nearby_nodes_for_search to be false

Implementations

impl PathCacheConfig[src]

pub const LOW_MEM: PathCacheConfig[src]

an example PathCacheConfig with options set to reduce Memory Usage

Values:

assert_eq!(
    PathCacheConfig {
        chunk_size: 16,
        cache_paths: false,
        keep_insertions: false,
        use_nearby_nodes_for_search: true,
        a_star_fallback: true,
        perfect_paths: false,
    },
    PathCacheConfig::LOW_MEM
);

pub const HIGH_PERFORMANCE: PathCacheConfig[src]

an example PathCacheConfig with options set to improve Performance

Values:

assert_eq!(
    PathCacheConfig {
        chunk_size: 8,
        cache_paths: true,
        keep_insertions: true,
        use_nearby_nodes_for_search: true,
        a_star_fallback: false,
        perfect_paths: false,
    },
    PathCacheConfig::HIGH_PERFORMANCE
);

Trait Implementations

impl Clone for PathCacheConfig[src]

impl Copy for PathCacheConfig[src]

impl Debug for PathCacheConfig[src]

impl Default for PathCacheConfig[src]

impl PartialEq<PathCacheConfig> for PathCacheConfig[src]

impl StructuralPartialEq for PathCacheConfig[src]

Auto Trait Implementations

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    U: From<T>, 
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type Owned = T

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