djinn

#!/usr/bin/env python3
import base64, time, sys

encoded_resume = b"""
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
"""

banner = r"""
   ____                              _   
  / ___|___  _ __ ___  _ __ ___   ___| |_ 

djinn

import time
from vllm import LLM, SamplingParams
import lmdeploy

# Test prompts for real-world language use cases
PROMPTS = [
    "Explain quantum computing in simple terms.",
    "What is the future of renewable energy?",
    "Describe the Great Wall of China.",
    "Why is the sky blue?",

djinn

#include <iostream>
#include <chrono>
#include <vector>
#include <random>
#include <iomanip>
#include <cmath>
#include <cassert>

// E4M3 FP8 Format (NVIDIA standard)
// 1 bit sign, 4 bits exponent, 3 bits mantissa

djinn

"""
Optimal Decision Tree for Guess Who Character Identification
Uses information theory to minimize average decision depth
"""

import math
from typing import List, Dict, Tuple, Any

# Character database with attributes as arrays
CHARACTERS = [