moyix

#!/usr/bin/env python3

import sys
import requests
from datetime import datetime, timezone

# Ok I'll be honest ChatGPT wrote the vast majority of this
# Use at your own risk

def get_latest_version_before_date(package_name, cutoff_date):

moyix

C++ files are are from this GitHub repository, with a small modification by me to allow the parser to accept a filename on the command line:

https://github.com/alepapadop/vrml

genvrml_v*.py written by Claude 3 Opus.

The conversation was:

Initial Prompt

moyix

all: gifread gifread.asan gifread.ubsan gifread.coverage

gifread: gifdec.c gifread.c gifdec.h
	$(CC) $(CFLAGS) -o $@ gifdec.c gifread.c $(LDFLAGS)

gifread.asan: gifdec.c gifread.c gifdec.h
	$(CC) $(CFLAGS) -g -fsanitize=address -o $@ gifdec.c gifread.c $(LDFLAGS)

gifread.ubsan: gifdec.c gifread.c gifdec.h
	$(CC) $(CFLAGS) -g -fsanitize=undefined -o $@ gifdec.c gifread.c $(LDFLAGS)

moyix

from typing import BinaryIO
import random
import struct

def generate_random_input(out: BinaryIO):
    # Generate Header
    out.write(b'GIF89a')  # GIF signature and version

    # Generate Logical Screen Descriptor
    screen_width = random.randint(1, 65535)

moyix

from typing import BinaryIO
import random
import struct

def generate_random_input(out: BinaryIO):
    # Generate a random width and height (between 1 and 1000)
    width = random.randint(1, 1000)
    height = random.randint(1, 1000)

    # Write GIF header

moyix

#!/usr/bin/env python

import sys, os
import platform
import ctypes as ct
import mmap
from enum import Enum
import importlib
import functools
import errno

moyix

#!/bin/bash

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

moyix

import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.util.HashMap;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

import ghidra.app.script.GhidraScript;
import ghidra.app.decompiler.DecompInterface;

moyix

Given the following program:

```
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#define BUFFERSIZE 200
#define TRUE 1
#define FALSE 0

moyix

Using Linear Algebra to Convert a Large Code Model

Background

The SalesForce CodeGen models are a family of large language models trained on a large amount of natural language data and then fine-tuned on specialized datasets of code. Models of size 350M, 2B, 6B, and 16B parameters are provided in three flavors:

• nl, the base model trained on The Pile, a large natural language dataset compiled by EleutherAI
• multi, which is fine-tuned from the nl model on a dataset of code in multiple languages, scraped from GitHub, and
• mono, which is fine-tuned from the multi model on Python code only.