[package]
edition = "2024"
rust-version = "1.85"
name = "to-values"
version = "0.1.0"
build = false
include = [
"src/**/*",
"tests/**/*",
"CHANGELOG.md",
"PUBLISHING.md",
"LICENSE-APACHE",
"LICENSE-MIT",
"README.md",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Flatten values into ordered f32 feature vectors."
homepage = "https://github.com/gusahlg/to-values"
documentation = "https://docs.rs/to-values"
readme = "README.md"
keywords = [
"machine-learning",
"neural-network",
"features",
"vector",
]
categories = [
"algorithms",
"science",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/gusahlg/to-values"
[package.metadata.docs.rs]
all-features = true
rustdoc-args = [
"--cfg",
"docsrs",
]
[features]
default = [
"std",
"derive",
]
derive = ["dep:to-values-derive"]
std = []
[lib]
name = "to_values"
path = "src/lib.rs"
[[test]]
name = "derive"
path = "tests/derive.rs"
[dependencies.to-values-derive]
version = "=0.1.0"
optional = true