[package]
name = "fnntw"
version = { workspace = true }
description = { workspace = true }
authors = { workspace = true }
repository = { workspace = true }
license = { workspace = true }
edition = { workspace = true }

[workspace]
members = [
    "./",
    "pyfnntw",
]

[workspace.package]
version = "0.4.1"
description = "FNNTW: Fastest Nearest Neighbor (in the) West. A fast kdtree/kNN library."
authors = ["Cavey Cool <caveycool@gmail.com>"]
repository = "https://github.com/cavemanloverboy/fnntw"
license = "MIT OR Apache-2.0"
edition = "2021"

[features]
default = ["parallel", "no-position", "sqrt-dist2", "no-index"]
timing = []                         # Dev feature
parallel = ["rayon"]                # Enables parallel query methods and parallel median of medians
sqrt-dist2 = []                     # Apply square root to squared euclidean distance, returning the euclidean distance
no-position = []                    # Omits neighbor position
no-index = ["no-position"]          # Omits index and only returns distances. Also does not return position.
tcmallocator = ["tcmalloc/bundled"] # This was found to be the best performing allocator but is not supported on all systems
# jemalloc = ["jemallocator"]
# snmallocator = ["snmalloc-rs"]
# mimallocator = ["mimalloc"]
# rpmallocator = ["rpmalloc"]

[dependencies]
ordered-float = "3.0.0"
num-format = "0.4.0"
thiserror = "1.0.32"
ouroboros = "0.15.5"
permutation = "0.4.1"
crossbeam-channel = "0.5.6"
likely_stable = "0.1.2"
sync-unsafe-cell = "0.1.0"

mimalloc = { version = "0.1.34", default-features = false, optional = true }
tcmalloc = { version = "0.3.0", features = ["bundled"], optional = true }
jemallocator = { version = "0.5.0", optional = true }
snmalloc-rs = { version = "0.3.3", optional = true }
rpmalloc = { version = "0.2.2", optional = true }

[profile.release]
lto = "fat"
codegen-units = 1

[dev-dependencies]
concat-idents = "1.1.3"
seq-macro = "0.3.1"
dry = "0.1.1"
rand = "0.8.5"
criterion = "0.3.6"
pdqselect = "0.1.1"
adqselect = "0.1.3"
ndarray = "0.15.6"
approx_eq = "0.1.8"
ndarray-npy = "0.8.1"
rayon = "1.5.3"
floydrivest = "0.2.4"
order-stat = "0.1.3"
kth = "0.1.0"

[dependencies.rayon]
version = "1.5.3"
optional = true

[[bench]]
name = "build"
harness = false

[[bench]]
name = "build_nc" # nc stands for no criterion
harness = false

[[bench]]
name = "medians"
harness = false

[[bench]]
name = "euclidean"
harness = false

[[bench]]
name = "query"
harness = false

[[bench]]
name = "query_k"
harness = false

[[bench]]
name = "query_k_axis"
harness = false

[[bench]]
name = "par_sort"
harness = false