ruvector-dither 0.1.0

Deterministic low-discrepancy dithering for low-bit quantization: golden-ratio and π-digit sequences for blue-noise error shaping
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2021"
name = "ruvector-dither"
version = "0.1.0"
authors = ["rUv <ruv@ruv.io>"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Deterministic low-discrepancy dithering for low-bit quantization: golden-ratio and π-digit sequences for blue-noise error shaping"
homepage = "https://ruv.io"
documentation = "https://docs.rs/ruvector-dither"
readme = "README.md"
keywords = [
    "quantization",
    "dither",
    "golden-ratio",
    "inference",
    "wasm",
]
categories = [
    "science",
    "algorithms",
    "no-std",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/ruvnet/ruvector"

[features]
default = []
no_std = []

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

[[bench]]
name = "dither_bench"
path = "benches/dither_bench.rs"
harness = false

[dependencies]

[dev-dependencies.criterion]
version = "0.5"
features = ["html_reports"]