[[bench]]
harness = false
name = "lookup"
[dependencies.hashbrown]
version = "0.11"
[dependencies.ndarray]
optional = true
version = "0.14"
[dependencies.num]
version = "0.4"
[dependencies.numpy]
optional = true
version = "0.13"
[dependencies.probability]
version = "0.17"
[dependencies.pyo3]
features = ["extension-module"]
optional = true
version = "0.13"
[dependencies.smallvec]
version = "1.6.1"
[dev-dependencies.byteorder]
version = "1.4.2"
[dev-dependencies.criterion]
version = "0.3"
[dev-dependencies.rand]
version = "0.8.3"
[dev-dependencies.rand_pcg]
version = "0.3"
[dev-dependencies.rand_xoshiro]
version = "0.6"
[features]
default = ["std"]
pybindings = ["ndarray", "numpy", "pyo3"]
std = []
[lib]
crate-type = ["rlib", "cdylib"]
name = "constriction"
[package]
authors = ["Robert Bamler <robert.bamler@uni-tuebingen.de>"]
categories = ["compression", "science", "no-std"]
description = "Composable entropy coding primitives for research and production (Python and Rust)."
documentation = "https://docs.rs/constriction/"
edition = "2018"
homepage = "https://bamler-lab.github.io/constriction/"
keywords = ["compression", "entropy-coding", "range-coding", "python", "machine-learning"]
license = "MIT OR Apache-2.0 OR BSL-1.0"
name = "constriction"
readme = "README.md"
repository = "https://github.com/bamler-lab/constriction/"
version = "0.1.1"
[package.metadata.maturin]
classifiers = ["Topic :: System :: Archiving :: Compression", "Intended Audience :: Science/Research"]
maintainer = "Robert Bamler"
maintainer-email = "robert.bamler@uni-tuebingen.de"
[package.metadata.maturin.project-url]
"Source repository" = "https://github.com/bamler-lab/constriction/"