This guide provides comprehensive instructions for building the Nest Thermostat DFU exploit, covering critical details missing from the README.
| Write a python program that reads a software spec prompt, writes a python implementation that satisfies this spec and a test suite, then runs the tests, inspects the test results, and re-generates the implementation & tests, runs the tests again, until all the tests pass. | |
| The prompt can be passed as a string arg to the program, as a file name argument, or else read from standard input. | |
| The program must invoke ollama to generate the implementation for the prompt. Use deepseek-coder. | |
| The ollama model must decide whether the tests were successful, by reading the user's prompt, the code, and the test output. | |
| The program should not keep all history of the iterations; instead, once it has a first implementation and test results, it should only add a "memory" file that it rewrites on each iteration, using a separate prompt that is aimed at "memorizing any learnings". The goal with this memory is to avoid overloading the context window of the LLM after hundreds of iterations. | |
| The code generated by ollama will likely |
| """ | |
| This module contains functions for estimating the cost of OpenAI's image recognition API. | |
| https://platform.openai.com/docs/guides/vision | |
| Usage: | |
| import openai_vision_cost | |
| cost = openai_vision_cost.estimate_image_cost(image_width, image_height, detail_level) | |
| Generated with the help of ChatGPT: |
| """ | |
| OCR with ChatGPT Plus | |
| Convert a bunch of image files into text, using Playwright to control your Chrome browser. | |
| Prerequisites: | |
| - Run `chrome --remote-debugging-port=9222` | |
| - Log in to ChatGPT | |
| - Select GPT-4 | |
| """ |
| Vagrant.configure("2") do |config| | |
| config.vm.box = "ubuntu/xenial64" | |
| config.ssh.forward_x11 = true | |
| config.vm.provision "shell", path: "https://gist.githubusercontent.com/elecnix/dd31ee274c5e721ce42acd27412ad3f0/raw/dbf9c3fff720c2e8aa768bf8cb264ede37cedfe2/gistfile1.txt" | |
| end |
| wget -q https://s3.amazonaws.com/beersmith2-3/BeerSmith-2.3.12_amd64.deb | |
| apt-get update | |
| apt-get download libwebkitgtk-1.0-0 libwebkitgtk-1.0-common libjavascriptcoregtk-1.0-0 | |
| dpkg -i *.deb |
| # Ce fichier sert à exécuter un collecteur, un dashboard, et une base de données InfluxDB. | |
| # | |
| # 1. git clone https://gist.github.com/51637af8e7bea6d4faf8471397e4b0e5.git erabliere | |
| # 2. cd erabliere | |
| # 3. git clone https://github.com/elecnix/ErabliCollecteur.git | |
| # 4. git clone https://github.com/elecnix/ErabliDash.git | |
| # 5. docker-compose up -d | |
| # 6. Ouvrir http://localhost:3000/ pour ErabliDash | |
| # 7. Ouvrir http://localhost:3001/ pour Grafana | |
| # |
| #!/bin/bash | |
| repos=$(ls ~/repos) | |
| for repo in $repos ; do | |
| if [ -d ~/repos/$repo/.hg ] ; then | |
| echo -e "\e[93m$repo\e[0m" | |
| hg --cwd ~/repos/$repo qseries -v -s | |
| if [ -d ~/repos/$repo/intelebase/.hg ] ; then | |
| hg --cwd ~/repos/$repo/intelebase qseries -v -s | |
| fi |
| <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" | |
| "http://www.w3.org/TR/html4/strict.dtd"> | |
| <head> | |
| <script type="text/javascript" src="jquery-1.7.2.min.js"></script> | |
| <script type="text/javascript" src="jquery.sparkline.js"></script> | |
| <script type="text/javascript"> | |
| $(function() { | |
| for (row = 0; row < 80; row++) { | |
| var myvalues = []; | |
| for (i = 0; i < 500; i++) { |
| #include "SparkIntervalTimer/SparkIntervalTimer.h" | |
| //SYSTEM_MODE (MANUAL); | |
| volatile int i = 0; // Variable to use as a counter volatile as it is in an interrupt | |
| volatile boolean zero_cross = 0; // Boolean to store a "switch" to tell us if we have crossed zero | |
| int AC_pin = D7; // Output to Opto Triac | |
| int dim = 0; // Dimming level (0-128) 0 = on, 128 = 0ff | |
| int inc = 1; // counting up or down, 1=up, -1=down |