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A set of utilities designed for incremental building, merging and optimization of data transformations.

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caramel-moe/DataFixerUpper

 
 

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DataFixerUpper Latest release License

A set of utilities designed for incremental building, merging, and optimization of data transformations. Created for converting the game data for Minecraft: Java Edition between different versions of the game.

Gradle

First include our repository:

maven {
    url "https://libraries.minecraft.net"
}

And then use this library (change (the latest version) to the latest version!):

compile 'com.mojang:datafixerupper:(the latest version)'

Maven

First include our repository:

<repository>
  <id>minecraft-libraries</id>
  <name>Minecraft Libraries</name>
  <url>https://libraries.minecraft.net</url>
</repository>

And then use this library (change (the latest version) to the latest version!):

<dependency>
    <groupId>com.mojang</groupId>
    <artifactId>datafixerupper</artifactId>
    <version>(the latest version)</version>
</dependency>

Usage

Core data types are Schema and DataFix. Schema is a set of type definitions specifying what data types the system is interested in and how they relate to each other. DataFix is a rewrite rule between types (see references below). DataFixerBuilder takes a list of schemas and fixes converting between those schemas, and creates an optimized converter between the types describes in those schemas. DSL is a class with building blocks used to create schemas and fixes.

Contributing

Contributions are welcome!

Most contributions will require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

References

Optimizing functions

How to handle recursive types

Optics

Tying it together

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A set of utilities designed for incremental building, merging and optimization of data transformations.

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