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28 lines
2.0 KiB
Markdown
28 lines
2.0 KiB
Markdown
# Worldgen
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The **Worldgen** module, implemented in Rust, serves as a specialized component for generating procedural noise functions integral to the **Cactus** Minecraft server. This project is tailored to address the computational and algorithmic requirements of Minecraft's world generation, with a concentrated focus on noise types essential for creating diverse and dynamic environments.
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## Features
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- **Domain-Specific Noise Generation**: Incorporates algorithms specifically optimized for Minecraft terrain and structural generation, ensuring relevance and precision.
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- **Server-Centric Optimization**: Designed for seamless integration with server operations, eliminating superfluous dependencies to maximize efficiency.
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- **High-Performance Execution**: Leverages Rust’s capabilities to deliver low-latency computations and optimal memory utilization, thereby sustaining server performance under load.
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## Installation
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This module is engineered for direct integration into the **Cactusserver** codebase. It is not structured as a standalone library and is intended solely for internal use within the server's architecture.
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## Future Objectives
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- **Selective Noise Implementation**: Focused development of noise algorithms that are specifically applicable to Minecraft world generation, including those governing biomes, subterranean formations, and topographical features.
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- **Enhanced Computational Efficiency**: Continued refinement of processing routines to ensure minimal performance overhead during real-time server operations.
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- **Empirical Validation**: Comprehensive testing under practical conditions to ensure robustness and fidelity in generated outputs.
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## Contributions
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Given its specialized role as a server-integrated module, contributions from external developers are not actively solicited. Nonetheless, constructive feedback and suggestions are welcomed via the issue tracker.
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## License
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This project is distributed under the terms of the [Mozilla Public License 2.0](LICENSE).
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