submoda/Cargo.toml at main · lv416e/submoda · GitHub

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[workspace]
resolver = "2"
members = [
    "submod-core",
    "submod-objectives",
    "submod-solver",
    "submod-io",
    "submod-bindings-py",
    "submod-service",
]

[workspace.package]
version = "0.1.0"
edition = "2021"
rust-version = "1.75"
authors = ["Submoda Contributors"]
license = "Apache-2.0"
repository = "https://github.com/submoda/submoda"
homepage = "https://github.com/submoda/submoda"
documentation = "https://docs.rs/submoda"
keywords = ["submodular", "optimization", "greedy", "machine-learning"]
categories = ["algorithms", "mathematics", "science"]

[workspace.dependencies]
# Core Data Structures
fixedbitset = "0.5"
rayon = "1.10"

# Numerical Computing
nalgebra = "0.33"
ndarray = "0.16.1"

# Data I/O
arrow = "56"
parquet = "56"

# Randomness
rand = "0.8"
rand_chacha = "0.3"

# Observability
prometheus = "0.13"
tracing = "0.1"
tracing-subscriber = "0.3"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

# Service Layer
tonic = "0.14.2"
prost = "0.14.1"
axum = "0.8.6"
# tokio: rt-multi-thread for async runtime, macros for #[tokio::main] and #[tokio::test]
# Avoids "full" feature to reduce compile times and binary size
tokio = { version = "1.47.1", features = ["rt-multi-thread", "macros"] }

# Python Bindings
pyo3 = { version = "0.26", features = ["extension-module"] }
numpy = "0.26"

# Error Handling
thiserror = "2.0"
anyhow = "1.0"

# Testing
proptest = "1.7"
criterion = "0.5"

# Utilities
crossbeam = "0.8"
log = "0.4"

[profile.dev]
opt-level = 0
debug = true
# Incremental compilation speeds up local development builds by caching intermediate results
# Note: Can occasionally cause unexpected behavior; run `cargo clean` if issues arise
incremental = true

[profile.release]
opt-level = 3
lto = "thin"
codegen-units = 1
strip = true
debug = false

[profile.bench]
inherits = "release"