RuVector/examples/spiking-network/Cargo.toml at main · ruvnet/RuVector · GitHub

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[package]
name = "spiking-network"
version = "0.1.0"
edition = "2021"
rust-version = "1.77"
license = "MIT"
authors = ["Ruvector Team"]
description = "Event-driven spiking neural network for ASIC-optimized neuromorphic computing"
readme = "docs/README.md"

[dependencies]
# Core ruvector dependencies
ruvector-core = { path = "../../crates/ruvector-core", default-features = false }
ruvector-gnn = { path = "../../crates/ruvector-gnn", default-features = false }

# Math and numerics
ndarray = { version = "0.16", features = ["serde"] }
rand = "0.8"
rand_distr = "0.4"

# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

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

# Performance
rayon = "1.10"
parking_lot = "0.12"
dashmap = "6.1"

# Collections for sparse operations
indexmap = { version = "2.0", features = ["serde"] }
smallvec = { version = "1.11", features = ["serde"] }

# Bitsets for spike encoding
bitvec = { version = "1.0", features = ["serde"] }

# Priority queue for event scheduling
priority-queue = "2.0"

[dev-dependencies]
criterion = { version = "0.5", features = ["html_reports"] }
proptest = "1.5"

[features]
default = ["simd"]
simd = []
wasm = []
visualization = []

[[bench]]
name = "spiking_bench"
harness = false

[[example]]
name = "edge_detection"
path = "src/examples/edge_detection.rs"

[[example]]
name = "pattern_recognition"
path = "src/examples/pattern_recognition.rs"

[[example]]
name = "asic_simulation"
path = "src/examples/asic_simulation.rs"