1 unstable release
Uses new Rust 2024
| 0.1.0 | Jul 13, 2025 |
|---|
#18 in #conflict
Used in character-traits
73KB
1K
SLoC
Character Traits: Complexity and Internal Conflict Crate
The Character Traits: Complexity and Internal Conflict crate is an advanced Rust library designed to model and analyze the nuanced complexity of character development through multiple axes of conflict. Drawing inspiration from narrative structures, this crate provides functionality to delve into primary and nuanced axes of character conflict, enabling the development of deeper and more compelling character narratives.
Features
- Core Conflict Axis: Enumerates primary facets of complexity such as Balance, Duality, and Harmony.
- Nuanced Conflict Attributes: Offers in-depth modifications for base complexity axes.
- Conflict Axis Enumeration: A vast set of dual axes illustrating conflicts, e.g., Idealism vs. Pragmatism, Science vs. Mysticism.
- Conflict Descriptor Analysis: Derives conflict profiles based on composite descriptors using verb token precedence.
- Intrinsic Ratings: Supplies environment-independent ratings for each axis of complexity, allowing evaluation beyond simplistic dualisms.
- Error Management: Structures robust error handling for missing profiles or attributes.
Integration
This crate is formatted for seamless integration into character development projects where depth and philosophical richness are prerequisites.
Usage Example
use character_traits_complexity_and_internal_conflict::{
CoreConflictAxis,
ConflictAxis,
ComplexityAndInternalConflictDescriptor,
analyze_conflict_descriptor,
};
let descriptor = ComplexityAndInternalConflictDescriptor::BalancesCompassionWithFirmness;
let (core_category, axes, attrs) = analyze_conflict_descriptor(&descriptor);
println!("Core Category: {:?}, Axes: {:?}, Attributes: {:?}", core_category, axes, attrs);
The crate offers intricate tools to academics, writers, and developers looking to embed sophisticated character conflict paradigms into their systems.
Note: This README.md file was generated by an AI model and may not be 100% accurate; however, it should be pretty good.
Dependencies
~48–91MB
~1.5M SLoC