Search Results for "reduce"

...A code generator which outputs JavaScript code from an AST, also providing the option to get a source map. A compressor (optimizer). it uses the transformer API to optimize an AST into a smaller one. A mangler, reduce names of local variables to (usually) single-letters. A scope analyzer, which is a tool that augments the AST with information about where variables are defined/referenced etc. A tree walker, a simple API allowing you to do something on every node in the AST. A tree transformer, another API intended to transform the tree. All the above utilities and APIs are defined in ~6500 lines of code (except for the effective generation of the source-map, which is handled by the source-map module). ...

Zip-Ada is a library for .zip archives. Full sources are in Ada and are unconditionally portable. Input and output can be any stream (file, buffer,...) for archive creation as well as data extraction. Task safe and endian-neutral. More information on: http://unzip-ada.sf.net Alire crate: https://alire.ada.dev/crates/zipada Mirror: https://github.com/zertovitch/zip-ada/

AZip is a free Zip Archive Manager with unique features such as: built-in content Search, smart archive Update, archive Recompression. The goal is to keep the user interface as simple as possible and bother the user the least possible with options or useless gadgets. More details and screenshots on the AZip Web site: http://azip.sf.net Alire crate: https://alire.ada.dev/crates/azip Mirror: https://github.com/zertovitch/azip

The Compressor/Decompressor project is a versatile and efficient software solution designed to provide high-performance data compression and decompression capabilities. This project aims to empower users to reduce the size of their data while maintaining its integrity, as well as to efficiently restore compressed data to its original form when needed.

Compressor.js is a lightweight JavaScript library for in-browser image compression that allows developers to reduce file sizes before uploading images to a server, improving performance and user experience. It works by taking an input image (such as from a file input) and resizing or reencoding it on the client side according to developer-specified options like maximum width, height, quality, and MIME type. Because compression happens in the browser, users upload smaller images without sacrificing responsiveness or relying on server resources, which is especially useful for mobile users or limited-bandwidth environments. ...

An algorithm for compression and decompression of Binary Decision Diagrams will in many cases reduce the size of the BDD to 1-2 bits per node.