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wifi-densepose/vendor/ruvector/examples/exo-ai-2025/research/10-thermodynamic-learning/Cargo.toml

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TOML

[package]
name = "thermodynamic-learning"
version = "0.1.0"
edition = "2021"
authors = ["ruvector contributors"]
description = "Nobel-level thermodynamic learning research: Physics-based intelligence approaching Landauer limits"
license = "MIT"
readme = "README.md"
# Enable standalone compilation
[workspace]
[lib]
name = "thermodynamic_learning"
path = "src/lib.rs"
[[bench]]
name = "thermodynamic_bench"
harness = false
[dependencies]
# For random number generation (already used in existing code)
rand = "0.8"
[dev-dependencies]
# Benchmarking framework
criterion = { version = "0.5", features = ["html_reports"] }
[profile.release]
opt-level = 3
lto = "fat"
codegen-units = 1
panic = "abort"
[profile.bench]
inherits = "release"
[features]
default = ["simd"]
simd = []