diyfr

"""
The most atomic way to train and inference 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

diyfr

/**
 * @file fsm.c
 * @brief an implementation for a FSM in C, this file contains 
 * implementation of definations.
 * License GPLv3+
 * @author Ankur Shrivastava
 */

#include "fsm.h"
#include<stdlib.h>

diyfr

package com.rogerthat.network.util;

import android.content.Context;

import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.net.URLConnection;

import okhttp3.Interceptor;