[dependencies.csv]
version = "1.1.3"
[dependencies.error-chain]
version = "0.12.2"
[dependencies.gmp-mpfr-sys]
default-features = false
features = ["mpfr"]
optional = true
version = "=1.3.1"
[dependencies.ieee754]
version = "0.2.6"
[dependencies.indexmap]
version = "1.4.0"
[dependencies.itertools]
version = "0.9.0"
[dependencies.ndarray]
version = "0.13.1"
[dependencies.ndarray-stats]
version = "0.3.0"
[dependencies.noisy_float]
version = "0.1.12"
[dependencies.num]
version = "0.3.0"
[dependencies.openssl]
features = ["vendored"]
version = "0.10.29"
[dependencies.probability]
version = "0.17.0"
[dependencies.rug]
default-features = false
features = ["integer", "float", "rand"]
optional = true
version = "1.9.0"
[dependencies.smartnoise_validator]
version = "0.1.2"
[dependencies.statrs]
version = "0.12.0"
[features]
default = ["use-mpfr"]
use-mpfr = ["gmp-mpfr-sys", "rug"]
use-system-libs = ["use-mpfr", "gmp-mpfr-sys/use-system-libs"]
[lib]
crate-type = ["rlib"]
name = "smartnoise_runtime"
[package]
authors = ["OpenDP-SmartNoise <smartnoise@opendp.io>"]
categories = ["cryptography", "science"]
description = "A library of algorithms for differentially private data analysis."
edition = "2018"
keywords = ["differential-privacy", "data-privacy", "privacy"]
license = "MIT"
name = "smartnoise_runtime"
readme = "README.md"
repository = "https://github.com/opendifferentialprivacy/smartnoise-core"
version = "0.1.2"