capability-skeleton-mock 0.1.0

A Rust crate for constructing and managing hierarchical skeleton structures with diverse node types, enabling advanced testing and simulation scenarios.
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# Grower Skill Tree Skeleton Mock

## Overview
The `capability-skeleton-mock` crate provides an advanced mock-up framework for constructing complex hierarchical structures, or skeletons, with different node types. Primarily designed for testing and simulation, it facilitates the creation and management of tree-like data models with configurable node attributes.

### Key Features
- **Node Variety**: Supports aggregate, dispatch, and leaf node types, each configurable with unique identifiers and properties.
- **Skeleton Construction**: Build skeletons programmatically, specifying parameters such as the node count, hierarchical depth, and node kind distributions.
- **Randomized and Structured Skeletons**: Offers both deterministic and stochastic approaches to skeleton creation, ensuring flexibility in test scenarios.
- **Breadth-First Traversal**: Enables robust simulation of tree navigation through BFS (Breadth-First Search), supporting advanced configurations like custom leaf counts and multilevel linkages.

### Usage
Below is an example of creating a structured skeleton with dispatch and leaf nodes, demonstrating the crate's core functionality:
```rust
use capability_skeleton_mock::{make_dispatch_node, make_leaf_node, SkeletonBuilder};

fn main() {
    let n0 = make_dispatch_node(0, &[1, 2]);
    let n1 = make_leaf_node(1);
    let n2 = make_leaf_node(2);
    let skeleton = SkeletonBuilder::default()
        .nodes(vec![n0, n1, n2])
        .root_id(Some(0))
        .build()
        .unwrap();
    // Use skeleton in simulations...
}
```

### Technical Insights
This crate employs advanced traversal techniques and depth management to facilitate stress-testing of hierarchical data. It supports BFS logic, enabling robust navigation and manipulation of branches and leaves.

## Contributing
Contributions, bug reports, and feature requests are welcome. Please feel free to open issues or submit pull requests.

## License
This project is licensed under the GPL-3.0 License.

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*This README.md was generated by an AI model and may not be 100% accurate; however, it should be pretty good.*