mirror of
https://github.com/ruvnet/RuVector.git
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- ruvector-attention: 0.1.32 → version.workspace = true (2.0.4) - ruvector-attention-wasm: 0.1.32 → workspace, dep 0.1.31 → 2.0 - ruvector-attention-node: 0.1.0 → workspace, dep already 2.0 - ruvector-dag: 0.1.0 → workspace, add version spec on ruvector-core dep - ruvector-gnn-wasm: fix malformed Cargo.toml (metadata before version), add version spec - ruvector-attention-unified-wasm: add version specs, fix category slug - Update all consumers: ruvector-crv, ruvllm, ruvector-postgres, prime-radiant, rvdna, OSpipe Published to crates.io: ruvector-attention@2.0.4, ruvector-dag@2.0.4, ruvector-tiny-dancer-core@2.0.4, ruvector-attention-wasm@2.0.4, ruvector-attention-node@2.0.4, ruvector-gnn-wasm@2.0.4, ruvector-gnn-node@2.0.4, ruvector-tiny-dancer-wasm@2.0.4, ruvector-tiny-dancer-node@2.0.4, ruvector-router-wasm@2.0.4, ruvector-router-ffi@2.0.4, ruvector-router-cli@2.0.4, ruvector-attention-unified-wasm@0.1.0 Co-Authored-By: claude-flow <ruv@ruv.net>
93 lines
2.3 KiB
TOML
93 lines
2.3 KiB
TOML
[package]
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name = "ruvector-dag"
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version.workspace = true
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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description = "Directed Acyclic Graph (DAG) structures for query plan optimization with neural learning"
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[features]
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default = ["full"]
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# Enable when using real ML-DSA/ML-KEM implementations
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# This flag indicates production-ready cryptography is in use
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production-crypto = ["pqcrypto-dilithium", "pqcrypto-kyber"]
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# Full feature set (non-WASM)
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full = ["tokio", "dashmap", "crossbeam", "parking_lot"]
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# WASM-compatible minimal feature set (core DAG + attention only)
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wasm = ["getrandom/js"]
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[dependencies]
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# Post-quantum cryptography (optional, for production use)
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pqcrypto-dilithium = { version = "0.5", optional = true }
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pqcrypto-kyber = { version = "0.8", optional = true }
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ruvector-core = { version = "2.0", path = "../ruvector-core", default-features = false }
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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thiserror = "1.0"
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dashmap = { version = "5.5", optional = true }
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crossbeam = { version = "0.8", optional = true }
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parking_lot = { version = "0.12", optional = true }
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ndarray = "0.15"
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rand = "0.8"
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tokio = { version = "1", features = ["full"], optional = true }
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tracing = "0.1"
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getrandom = "0.2"
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zeroize = { version = "1.7", features = ["derive"] }
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sha2 = "0.10"
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[dev-dependencies]
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criterion = "0.5"
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proptest = "1.4"
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tokio-test = "0.4"
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[[bench]]
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name = "dag_benchmarks"
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harness = false
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[[test]]
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name = "integration"
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path = "tests/integration/mod.rs"
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[[example]]
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name = "basic_usage"
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[[example]]
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name = "attention_selection"
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[[example]]
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name = "learning_workflow"
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[[example]]
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name = "self_healing"
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[[example]]
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name = "synthetic_reflex_organism"
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path = "examples/exotic/synthetic_reflex_organism.rs"
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[[example]]
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name = "timing_synchronization"
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path = "examples/exotic/timing_synchronization.rs"
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[[example]]
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name = "coherence_safety"
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path = "examples/exotic/coherence_safety.rs"
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[[example]]
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name = "artificial_instincts"
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path = "examples/exotic/artificial_instincts.rs"
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[[example]]
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name = "living_simulation"
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path = "examples/exotic/living_simulation.rs"
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[[example]]
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name = "thought_integrity"
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path = "examples/exotic/thought_integrity.rs"
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[[example]]
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name = "federated_coherence"
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path = "examples/exotic/federated_coherence.rs"
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[[example]]
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name = "synthetic_haptic"
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