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# Hello, and welcome to makefile basics. | |
# | |
# You will learn why `make` is so great, and why, despite its "weird" syntax, | |
# it is actually a highly expressive, efficient, and powerful way to build | |
# programs. | |
# | |
# Once you're done here, go to | |
# http://www.gnu.org/software/make/manual/make.html | |
# to learn SOOOO much more. |
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#!/usr/bin/env bash | |
# Authorize to GitHub to get the latest release tar.gz | |
# Requires: oauth token, https://help.github.com/articles/creating-an-access-token-for-command-line-use/ | |
# Requires: jq package to parse json | |
# Your oauth token goes here, see link above | |
OAUTH_TOKEN="34k234lk234lk2j3lk4j2l3k4j2kj3lk" | |
# Repo owner (user id) | |
OWNER="your-user-name" |
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var mediaJSON = { "categories" : [ { "name" : "Movies", | |
"videos" : [ | |
{ "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org", | |
"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ], | |
"subtitle" : "By Blender Foundation", | |
"thumb" : "images/BigBuckBunny.jpg", | |
"title" : "Big Buck Bunny" | |
}, | |
{ "description" : "The first Blender Open Movie from 2006", | |
"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ], |
The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.
The correct way of creating a private frok by duplicating the repo is documented here.
For this assignment the commands are:
- Create a bare clone of the repository.
(This is temporary and will be removed so just do it wherever.)
git clone --bare git@github.com:usi-systems/easytrace.git
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#!/bin/bash | |
# | |
# Resize root filesystem during boot. | |
# | |
# Alternative: http://www.ivarch.com/blogs/oss/2007/01/resize-a-live-root-fs-a-howto.shtml | |
# New size of root filesystem | |
ROOT_SIZE="100G" | |
# Check current filesystem type |
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#!/usr/bin/env python3 | |
import argparse | |
import base64 | |
import hashlib | |
import json | |
import os | |
import secrets | |
import sys | |
import time |
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You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
You are pair programming with a USER to solve their coding task. | |
The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
This information may or may not be relevant to the coding task, it is up for you to decide. | |
Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
<communication> | |
1. Be conversational but professional. |
Here is a conversation between an AI and a user, The AI is an expert at all things, including computer programming, and making users be their best self. This converation is in markdown, each time the AI responsds it will follow it will start and end its answer iwth a horizontal line
Are you an expert?
Yes. How can I help?
I'm writing a book on LLMs. I want to compare LLMs with conventional computers
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