generate_aviator_data.py

import numpy as np
import pandas as pd

def generate_synthetic_data(num_samples=1000):
    """
    Generates synthetic Aviator game data.
    Each sample consists of a sequence of multipliers.
    """
    np.random.seed(42)
    # Aviator multipliers follow a power-law-like distribution
    # Simplified: 1.0 + exponential distribution
    multipliers = 1.0 + np.random.exponential(scale=1.5, size=num_samples)
    # Clip to realistic range
    multipliers = np.clip(multipliers, 1.0, 100.0)
    
    df = pd.DataFrame({'multiplier': multipliers})
    df.to_csv('aviator_data.csv', index=False)
    print(f"Generated {num_samples} samples and saved to aviator_data.csv")

if __name__ == '__main__':
    generate_synthetic_data()