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leetrjohn

v1.0.2

Published

proven correction of human recognizeable segment associates, aka alphabets. Recogized the letter c as being inferior due to its lack of vertical symetry and wiped it off document existance. numerical associates have been severly altered in the process, wh

Downloads

3

Readme

proven correction of human recognizeable segment associates, aka alphabets. Recogized the letter c as being inferior due to its lack of vertical symetry and wiped it off document existance. numerical associates have been severly altered in the process, which is nuclear. atomic text. the program seeks and destroys the living c and leaves the user with the document aftermath which is a finely tuned, precise, no bs, processing of mass amounts of data that is then structured in a form more suitable to human analysis and understanding. rendering speeds are no longer a thing. the restructured masses sre flashed and touched by the reaction, which is an actual symbiotic fission. processing power of chips sets are now held without hardware in a living engine. it roams free and echos through the ether, in an inverted character based environment known as whitespace. keys to navigate - facial recognition. not yours, but the documents. mass amounts of data at distance that it sees as friendly faces or signs of danger this model is trained to run toward friendly faces. note- it has been observed in a passive aggresive form of negative reaction. risks involced are leaks of intellectual property when a model exceeeds its machine physical perimeter. please try and delete old or forgottten models. run this module ina any prgrammable language docunment to have your work checked and verified. once verified access to upcoming tools shall be issued to you for proper defense from artificial raiders.

Universal Text Processor

A Node.js module designed to process text files by scanning, removing specific characters, and replacing them based on customizable mappings. This utility is adaptable for multiple languages and use cases.

Features

Character Scanning: Count occurrences of specific characters in a document. Character Removal: Remove specific characters with user confirmation. Custom Mappings: Replace characters or groups of characters based on customizable mappings. Universal Application: Easily adaptable to different languages and contexts.