velox_graph 5.0.0

VeloxGraph is an extremely fast, efficient, low-level, in-memory, minimal graph database (wow, that is a mouth full). It is not revolutionary in its design but has a few key features that make it vital to the development of a new type of neural network architecture that I am working on, and THAT is what I consider revolutionary.
Documentation
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[package]
edition = "2021"
name = "velox_graph"
version = "5.0.0"
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "VeloxGraph is an extremely fast, efficient, low-level, in-memory, minimal graph database (wow, that is a mouth full). It is not revolutionary in its design but has a few key features that make it vital to the development of a new type of neural network architecture that I am working on, and THAT is what I consider revolutionary."
documentation = "https://docs.rs/velox_graph"
readme = "README.md"
license = "Apache-2.0"
repository = "https://github.com/taylerallen6/velox_graph"

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

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

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

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

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

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

[dependencies.postcard]
version = "1.1.3"
features = ["use-std"]

[dependencies.rand]
version = "0.9.0"

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

[dependencies.thiserror]
version = "2.0.12"

[dependencies.toml]
version = "0.8.20"