backend/unified-cloud-search/data/randomize.ipynb (45 lines of code) (raw):

{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import random\n", "lines = open('popular-english-words.txt').readlines()\n", "random.shuffle(lines)\n", "open('popular-english-words-random.txt', 'w').writelines(lines)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "env", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.16" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }