vsa-optim-rs 0.1.1

Deterministic training optimization using VSA compression and closed-form gradient prediction
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"
rust-version = "1.92"
name = "vsa-optim-rs"
version = "0.1.1"
authors = ["Tyler Zervas <tz-dev@vectorweight.com>"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Deterministic training optimization using VSA compression and closed-form gradient prediction"
homepage = "https://github.com/tzervas/vsa-optim-rs"
documentation = "https://docs.rs/vsa-optim-rs"
readme = "README.md"
keywords = [
    "machine-learning",
    "training",
    "optimization",
    "vsa",
    "gradient",
]
categories = [
    "science",
    "mathematics",
    "algorithms",
]
license = "MIT"
repository = "https://github.com/tzervas/vsa-optim-rs"

[features]
default = []
python = ["dep:pyo3"]

[lib]
name = "vsa_optim_rs"
crate-type = [
    "lib",
    "cdylib",
]
path = "src/lib.rs"

[[test]]
name = "integration_tests"
path = "tests/integration_tests.rs"

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

[dependencies.candle-core]
version = "0.9"
default-features = false

[dependencies.pyo3]
version = "0.22"
features = ["extension-module"]
optional = true

[dependencies.rand]
version = "0.8"

[dependencies.rand_chacha]
version = "0.3"

[dependencies.serde]
version = "1.0"
features = ["derive"]

[dependencies.thiserror]
version = "1.0"

[dependencies.trit-vsa]
version = "0.1"

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

[dev-dependencies.proptest]
version = "1.4"

[lints.clippy]
pedantic = "warn"

[lints.rust]
missing_docs = "warn"
unsafe_code = "deny"