ruvector-mincut 0.1.29

World's first subpolynomial dynamic min-cut: self-healing networks, AI optimization, real-time graph analysis
Documentation 
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[[bench]]
harness = false
name = "bounded_bench"
path = "benches/bounded_bench.rs"

[[bench]]
harness = false
name = "mincut_bench"
path = "benches/mincut_bench.rs"

[[bench]]
harness = false
name = "paper_algorithms_bench"
path = "benches/paper_algorithms_bench.rs"

[[bench]]
harness = false
name = "snn_bench"
path = "benches/snn_bench.rs"

[[bench]]
harness = false
name = "sota_bench"
path = "benches/sota_bench.rs"

[dependencies.anyhow]
version = "1.0"

[dependencies.crossbeam]
version = "0.8"

[dependencies.dashmap]
version = "6.1"

[dependencies.ordered-float]
version = "4.2"

[dependencies.parking_lot]
version = "0.12"

[dependencies.petgraph]
version = "0.6"

[dependencies.rand]
version = "0.8"

[dependencies.rayon]
version = "1.10"

[dependencies.roaring]
version = "0.10"

[dependencies.ruvector-core]
default-features = false
version = "0.1.2"

[dependencies.ruvector-graph]
default-features = false
optional = true
version = "0.1.2"

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

[dependencies.serde_json]
version = "1.0"

[dependencies.thiserror]
version = "2.0"

[dependencies.tracing]
version = "0.1"

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

[dev-dependencies.mockall]
version = "0.13"

[dev-dependencies.proptest]
version = "1.5"

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

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

[[example]]
name = "subpoly_bench"
path = "examples/subpoly_bench.rs"
required-features = ["exact"]

[features]
agentic = []
approximate = []
default = ["exact", "approximate"]
exact = []
full = ["exact", "approximate", "integration", "monitoring", "simd", "agentic"]
integration = ["ruvector-graph"]
monitoring = []
simd = ["ruvector-core/simd"]
wasm = []

[lib]
bench = false
crate-type = ["rlib"]
name = "ruvector_mincut"
path = "src/lib.rs"

[package]
authors = ["Ruvector Team"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "data-structures", "science", "mathematics", "simulation"]
description = "World's first subpolynomial dynamic min-cut: self-healing networks, AI optimization, real-time graph analysis"
documentation = "https://docs.rs/ruvector-mincut"
edition = "2021"
homepage = "https://ruv.io"
keywords = ["graph", "minimum-cut", "network-analysis", "self-healing", "dynamic-graph"]
license = "MIT"
name = "ruvector-mincut"
readme = "README.md"
repository = "https://github.com/ruvnet/ruvector"
rust-version = "1.77"
version = "0.1.29"

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

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

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

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

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

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

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

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