paraskuk

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

paraskuk

import subprocess
import os

# Create Kotlin file content - Hello World
kotlin_code = """
fun main() {
    println("Hello, World!")
}
"""

paraskuk

import subprocess
import os

# Create Java file content - simple HW
java_code = """
public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}

paraskuk

import numpy as np
import matplotlib.pyplot as plt

def brownian_motion(n, dt, delta):
    """
    Simulate a Brownian motion
    :param n: Number of time steps
    :param dt: Time step size
    :param delta: The magnitude of movement
    :return: Brownian motion path