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| #!/usr/bin/bash | |
| Clock(){ | |
| TIME=$(date "+%H:%M:%S") | |
| echo -e -n " \uf017 ${TIME}" | |
| } | |
| Cal() { | |
| DATE=$(date +"%Y/%m/%d [%a]") |
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| import json | |
| import requests | |
| d = # grab data from here: https://www.lesswrong.com/graphiql?query=%20%20%20%20%7B%0A%20%20%20%20%20%20posts%28input%3A%20%7B%0A%20%20%20%20%20%20%20%20terms%3A%20%7B%0A%20%20%20%20%20%20%20%20%20%20view%3A%20%22new%22%0A%20%20%20%20%20%20%20%20%20%20limit%3A%2050000%0A%20%20%20%20%20%20%20%20%20%20meta%3A%20null%20%20%23%20this%20seems%20to%20get%20both%20meta%20and%20non-meta%20posts%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%29%20%7B%0A%20%20%20%20%20%20%20%20results%20%7B%0A%20%20%20%20%20%20%20%20%20%20user%20%7B%0A%20%20%20%20%20%20%20%20%20%20%20%20username%0A%20%20%20%20%20%20%20%20%20%20%20%20slug%0A%20%20%20%20%20%20%20%20%20%20%20%20displayName%0A%20%20%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D | |
| xx = json.loads(d) | |
| aa = [] | |
| count = 0 |
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| t = linspace(0, 1, 14400); | |
| scale = [261.63 293.66 329.63 349.23 392.00 440 493.88 523.25]; | |
| strs = ["C", "D", "E", "F", "G", "A", "B", "C2"]; | |
| r = rand(1, 20) | |
| for i = 1:length(scale) | |
| f = scale(i); | |
| strs(i) | |
| sound(sin((2*pi*f)*t), 14400); |
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| import tkinter as tk | |
| from datetime import datetime | |
| timestamp = datetime.now().strftime("%m-%d %H:%M:%S") | |
| f = open("doinglog.txt", "a") | |
| def submit_text(event=None): |
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| #!/bin/bash | |
| # `flameshot config` and change the default save name (in General) to "scrot_tmp" | |
| # add to .xbindkeysrc (make sure xbindkeys is installed and running): | |
| # "/bin/bash /home/uk000/flameshot.sh" | |
| # Mod1 + s | |
| # Mod1 is the alt key, `xbindkeys -k` to figure out the names of other special keys | |
| # install tesseract (there may be a step where a corpus must be manually installed) |
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| wget $MY_URL --referer "google.com" --user-agent="Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36" | |
| cat index.html | grep -Po "window\.Quizlet\[\"MiniFlashcards\"\].*QLoad\(\"Quizlet\.MiniFlashcards\"\)" > json_object | |
| # Python to parse json object | |
| import json | |
| data = open("json_object", "r").read() | |
| json.loads(data[35:-33]) |
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| In case anyone is wondering and has to look this up and script it like I did, # of upvotes by frequency of upvote score is a logarithmic relationship |
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| import openai | |
| import os | |
| import json | |
| from tqdm import tqdm | |
| #change this! | |
| TEMPERATURE=1 | |
| #past work: https://twitter.com/colin_fraser/status/1636755134679224320 |
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| javascript: (function() { | |
| var currentUrl = window.location.href; | |
| var apiUrl = "https://archive.org/wayback/available?url=" + encodeURIComponent(currentUrl); | |
| console.log("Sending GET request to:", apiUrl); | |
| fetch(apiUrl).then(response => { | |
| console.log("Received response:", response); | |
| return response.json(); | |
| }).then(data => { | |
| console.log("Received data:", data); | |
| var archivedUrl = data["archived_snapshots"]["closest"]["url"]; |
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| javascript:document.querySelector('video').playbackRate=3 |