HaiyangXu

# -*- coding: utf-8 -*-
#test on python 3.4 ,python of lower version  has different module organization.
import http.server
from http.server import HTTPServer, BaseHTTPRequestHandler
import socketserver

PORT = 8080

Handler = http.server.SimpleHTTPRequestHandler

CMCDragonkai

# do it once
seq 1 | parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# do it twice
seq 2 | parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# do it 4 times, but at 2 a time
seq 4 | parallel -n0 -j2 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# you can also put all your commands into a file

kylemcdonald

# !/usr/bin/env python

import os, re, argparse, json

parser = argparse.ArgumentParser(
	description='Extract code from ShaderToy json.')
parser.add_argument('input')
parser.add_argument('output')
args = parser.parse_args()

dario2994

#!/usr/bin/env python3

# This program prints all hcn (highly composite numbers) <= MAXN (=10**18)
#
# The value of MAXN can be changed arbitrarily. When MAXN = 10**100, the
# program needs less than one second to generate the list of hcn.
from math import log

MAXN = 10**18

f0k

#include <stdio.h>
#include <cuda.h>
#include <cuda_runtime_api.h>

/* Outputs some information on CUDA-enabled devices on your computer,
 * including compute capability and current memory usage.
 *
 * On Linux, compile with: nvcc -o cuda_check cuda_check.c -lcuda
 * On Windows, compile with: nvcc -o cuda_check.exe cuda_check.c -lcuda
 *

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

mholt

// Package main is a sample macOS-app-bundling program to demonstrate how to
// automate the process described in this tutorial:
//
// https://medium.com/@mattholt/packaging-a-go-application-for-macos-f7084b00f6b5
//
// Bundling the .app is the first thing it does, and creating the DMG is the
// second. Making the DMG is optional, and is only done if you provide
// the template DMG file, which you have to create beforehand.
//
// Example use:

talaviram

#! /bin/bash
# Simple Utility Script for allowing debug of hardened macOS apps.
# This is useful mostly for plug-in developer that would like keep developing without turning SIP off.
# Credit for idea goes to (McMartin): https://forum.juce.com/t/apple-gatekeeper-notarised-distributables/29952/57?u=ttg
# Update 2022-03-10: Based on Fabian's feedback, add capability to inject DYLD for sanitizers.
#
# Please note:
# - Modern Logic (on M1s) uses `AUHostingService` which resides within the system thus not patchable and REQUIRES to turn-off SIP.
# - Some hosts uses separate plug-in scanning or sandboxing. 
#     if that's the case, it's required to patch those (if needed) and attach debugger to them instead.

bitonic

// Copyright (c) 2021 Francesco Mazzoli <f@mazzo.li>
//
// Permission to use, copy, modify, and distribute this software for any
// purpose with or without fee is hereby granted, provided that the above
// copyright notice and this permission notice appear in all copies.
//
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
// ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES

moyix

#!/bin/bash

gdb -p "$1" -batch -ex 'set {short}$rip = 0x050f' -ex 'set $rax=231' -ex 'set $rdi=0' -ex 'cont'