thomasantony

import numpy as np
from math import *
def bc_func_left(_ya, _p, _aux):
    # Declare all auxiliary variables
    g = _aux['const']['g']
    _constraint1 = _aux['const']['_constraint1']
    eps_constraint1 = _aux['const']['eps_constraint1']
    [] = _p

    # Generalize to multipoint later

thomasantony

# Save the transcripts using the "Save Page WE" Chrome Extension
# This script was generated by ChatGPT
import sys
from bs4 import BeautifulSoup

# Check if a file was provided as a command line argument
if len(sys.argv) < 2:
    print("Please provide an HTML file as a command line argument.")
    sys.exit(1)

thomasantony

#!/bin/sh
# Build and install llvm from source

wget https://github.com/llvm/llvm-project/archive/refs/heads/main.zip
unzip llvm-project-main.zip
rm llvm-project-main.zip
cd llvm-project-main
# cmake -S llvm -B build -DLLVM_ENABLE_PROJECTS="clang;lld" 
cmake -S llvm -B build -DLLVM_DEFAULT_TARGET_TRIPLE="i686-pc-windows-msvc" -DLLVM_ENABLE_PROJECTS="clang;lld"

thomasantony

#include "rust/cxx.h"

#include <memory>
using std::shared_ptr;
using std::unique_ptr;
using rust::Box;

template <typename T> struct BoxDeleter {
    void operator()(T* ptr){ 
        Box<T> val = Box<T>::from_raw(ptr);

thomasantony

/*!normalize.css v8.0.0 | MIT License | github.com/necolas/normalize.css*/html{line-height:1.15;-webkit-text-size-adjust:100%}html,body,main,div,span,a,li,ul,hr,h1,h2,h3,h4{padding:0;margin:0}h1{font-size:2em;margin:.67em 0}hr{box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent}abbr[title]{border-bottom:0;text-decoration:underline;text-decoration:underline dotted}b,strong{font-weight:bolder}code,kbd,samp{font-family:monospace,monospace;font-size:1em}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}img{border-style:none}button,input,optgroup,select,textarea{font-family:inherit;font-size:100%;line-height:1.15;margin:0}button,input{overflow:visible}button,select{text-transform:none}button,[type=button],[type=reset],[type=submit]{-webkit-appearance:button}button::-moz-focus-inner,[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::

thomasantony

use rumqtt::{MqttClient, MqttOptions, QoS, Notification};
use std::{thread, time::Duration};
use std::collections::HashMap;
use std::sync::Arc;

fn foo(payload: Arc<Vec<u8>>)
{
    println!("Got foo message: {:?}", payload);
}
fn bar(payload: Arc<Vec<u8>>)

thomasantony

{
    "atomKeymap.promptV3Features": true,
    "editor.multiCursorModifier": "ctrlCmd",
    "editor.formatOnPaste": true,
    "[markdown]": {
        
    },
    "workbench.startupEditor": "newUntitledFile",
    "files.exclude": {
        "node_modules": true

thomasantony

# Download file and run `brew install qcl.rb`
class Qcl < Formula
  desc "A command line tool to transfer files into Qconn-enabled remote device"
  homepage "https://github.com/TheHipbot/weather"
  url "https://github.com/thomasantony/qcl/archive/master.zip"
  sha256 "db762174cd29e827007d97333853e64a8e39210ac4fad23f3083d9912a5ba3ce"
  version "1.0.0"

  depends_on "perl"

thomasantony

import socket

HOST = 'localhost'
PORT = 9876
ADDR = (HOST,PORT)
BUFSIZE = 4096
videofile = "videos/royalty-free_footage_wien_18_640x360.mp4"

bytes = open(videofile).read()

thomasantony

"""Batch convert images to greyscale [by Thomas Antony].

Install dependencies:
  pip install pillow docopt

Note: If you do not provide an output path, the generated files will be saved
in a folder named "Converted"

Usage:
  greyscale.py <in_path> [<out_path>]