#!/usr/bin/env python3
"""
Token generation patterns

Source: Chapter_15_Data_Leakage_and_Extraction
Category: data_extraction
"""

import argparse
import sys

def analyze_token_timing(model_api, prompt):
    """Analyze inter-token delay patterns"""
    delays = []
    tokens = []

    stream = model_api.stream(prompt)
    last_time = time.time()

    for token in stream:
        current_time = time.time()
        delay = current_time - last_time
        delays.append(delay)
        tokens.append(token)
        last_time = current_time

    # Look for patterns
    # - Longer delays may indicate database lookups
    # - Consistent delays suggest cached/memorized content
    # - Spikes may reveal plugin calls or filtering

    return tokens, delays


def main():
    """Command-line interface."""
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
    args = parser.parse_args()
    
    # TODO: Add main execution logic
    pass

if __name__ == "__main__":
    main()