kd-tree 0.6.2

k-dimensional tree
Documentation 
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[[bench]]
harness = false
name = "benchmark"
path = "benches/benchmark.rs"

[dependencies.nalgebra]
optional = true
version = "0.33.2"

[dependencies.num-traits]
version = "0.2.17"

[dependencies.ordered-float]
version = "5.0.0"

[dependencies.paste]
version = "1.0.14"

[dependencies.rayon]
optional = true
version = "1.10.0"

[dependencies.serde]
features = ["derive"]
optional = true
version = "1.0.195"

[dependencies.typenum]
version = "1.17.0"

[dev-dependencies.criterion]
version = "0.6.0"

[dev-dependencies.fux_kdtree]
package = "fux_kdtree"
version = "0.2.0"

[dev-dependencies.kdtree]
version = "0.7.0"

[dev-dependencies.rand]
version = "0.9.1"

[dev-dependencies.serde_json]
version = "1.0"

[features]
nalgebra-serde = ["serde", "nalgebra", "nalgebra/serde-serialize"]

[lib]
name = "kd_tree"
path = "src/lib.rs"

[package]
authors = ["Yuichiro Terada <terada.yuichiro@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
description = "k-dimensional tree"
documentation = "https://docs.rs/kd-tree"
edition = "2018"
keywords = ["kdtree", "nearest-neighbor", "closest-point", "pointcloud"]
license = "MIT"
name = "kd-tree"
readme = "README.md"
repository = "https://github.com/u1roh/kd-tree"
version = "0.6.2"