multimarkov 1.0.0

This is a generic tool for training and using multi-order Markov chains for procedural generation applications such as generating randomized but authentic-sounding names for characters and locations.
Documentation 
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[dependencies.log]
version = "0.4.22"

[dependencies.rand]
features = ["small_rng"]
version = "0.8.5"

[dev-dependencies.env_logger]
version = "0.11.5"

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

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

[package]
authors = ["joeclark-phd <joe@joeclark.net>"]
autobenches = false
autobins = false
autoexamples = false
autotests = false
build = false
description = """
This is a generic tool for training and using multi-order Markov chains for procedural generation applications
such as generating randomized but authentic-sounding names for characters and locations.
"""
edition = "2021"
license = "MIT"
name = "multimarkov"
readme = "README.md"
repository = "https://github.com/joeclark-phd/multimarkov"
version = "1.0.0"