d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
69 lines
1.5 KiB
TOML
69 lines
1.5 KiB
TOML
[package]
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name = "spiking-network"
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version = "0.1.0"
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edition = "2021"
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rust-version = "1.77"
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license = "MIT"
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authors = ["Ruvector Team"]
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description = "Event-driven spiking neural network for ASIC-optimized neuromorphic computing"
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readme = "docs/README.md"
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[dependencies]
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# Core ruvector dependencies
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ruvector-core = { path = "../../crates/ruvector-core", default-features = false }
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ruvector-gnn = { path = "../../crates/ruvector-gnn", default-features = false }
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# Math and numerics
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ndarray = { version = "0.16", features = ["serde"] }
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rand = "0.8"
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rand_distr = "0.4"
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# Serialization
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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# Error handling
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thiserror = "2.0"
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anyhow = "1.0"
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# Performance
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rayon = "1.10"
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parking_lot = "0.12"
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dashmap = "6.1"
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# Collections for sparse operations
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indexmap = { version = "2.0", features = ["serde"] }
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smallvec = { version = "1.11", features = ["serde"] }
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# Bitsets for spike encoding
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bitvec = { version = "1.0", features = ["serde"] }
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# Priority queue for event scheduling
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priority-queue = "2.0"
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[dev-dependencies]
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criterion = { version = "0.5", features = ["html_reports"] }
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proptest = "1.5"
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[features]
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default = ["simd"]
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simd = []
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wasm = []
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visualization = []
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[[bench]]
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name = "spiking_bench"
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harness = false
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[[example]]
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name = "edge_detection"
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path = "src/examples/edge_detection.rs"
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[[example]]
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name = "pattern_recognition"
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path = "src/examples/pattern_recognition.rs"
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[[example]]
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name = "asic_simulation"
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path = "src/examples/asic_simulation.rs"
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