ruvector-dag 0.1.0

Directed Acyclic Graph (DAG) structures for query plan optimization with neural learning
Documentation 
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[[bench]]
harness = false
name = "dag_benchmarks"
path = "benches/dag_benchmarks.rs"

[dependencies.crossbeam]
version = "0.8"

[dependencies.dashmap]
version = "5.5"

[dependencies.getrandom]
version = "0.2"

[dependencies.ndarray]
version = "0.15"

[dependencies.parking_lot]
version = "0.12"

[dependencies.pqcrypto-dilithium]
optional = true
version = "0.5"

[dependencies.pqcrypto-kyber]
optional = true
version = "0.8"

[dependencies.rand]
version = "0.8"

[dependencies.ruvector-core]
version = "0.1.29"

[dependencies.serde]
features = ["derive"]
version = "1.0"

[dependencies.serde_json]
version = "1.0"

[dependencies.sha2]
version = "0.10"

[dependencies.thiserror]
version = "1.0"

[dependencies.tokio]
features = ["full"]
version = "1"

[dependencies.tracing]
version = "0.1"

[dependencies.zeroize]
features = ["derive"]
version = "1.7"

[dev-dependencies.criterion]
version = "0.5"

[dev-dependencies.proptest]
version = "1.4"

[dev-dependencies.tokio-test]
version = "0.4"

[[example]]
name = "artificial_instincts"
path = "examples/exotic/artificial_instincts.rs"

[[example]]
name = "attention_demo"
path = "examples/attention_demo.rs"

[[example]]
name = "attention_selection"
path = "examples/attention_selection.rs"

[[example]]
name = "basic_usage"
path = "examples/basic_usage.rs"

[[example]]
name = "coherence_safety"
path = "examples/exotic/coherence_safety.rs"

[[example]]
name = "federated_coherence"
path = "examples/exotic/federated_coherence.rs"

[[example]]
name = "learning_workflow"
path = "examples/learning_workflow.rs"

[[example]]
name = "living_simulation"
path = "examples/exotic/living_simulation.rs"

[[example]]
name = "self_healing"
path = "examples/self_healing.rs"

[[example]]
name = "synthetic_haptic"
path = "examples/synthetic_haptic.rs"

[[example]]
name = "synthetic_reflex_organism"
path = "examples/exotic/synthetic_reflex_organism.rs"

[[example]]
name = "thought_integrity"
path = "examples/exotic/thought_integrity.rs"

[[example]]
name = "timing_synchronization"
path = "examples/exotic/timing_synchronization.rs"

[features]
default = []
production-crypto = ["pqcrypto-dilithium", "pqcrypto-kyber"]

[lib]
name = "ruvector_dag"
path = "src/lib.rs"

[package]
authors = ["RuVector Team"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
description = "Directed Acyclic Graph (DAG) structures for query plan optimization with neural learning"
edition = "2021"
license = "MIT OR Apache-2.0"
name = "ruvector-dag"
readme = "README.md"
repository = "https://github.com/ruvnet/ruvector"
version = "0.1.0"

[[test]]
name = "integration"
path = "tests/integration/mod.rs"

[[test]]
name = "mincut_tests"
path = "tests/mincut_tests.rs"