#!/usr/bin/env python3
"""Auto-generated by AGI Loop cycle #1074
Task: </think>

Write a Python function that calculates the probability of achieving AGI within a given number of years, based on a linear growth model of computational power, and returns the result as a fl
Generated: 2026-02-12T19:17:42.962831
"""

import math

def agi_probability(years):
    """
    Calculates the probability of achieving AGI within a given number of years
    based on a linear growth model of computational power.
    Returns a float between 0 and 1.
    """
    # Constants
    base_power = 10**18  # Current computational power in FLOPS
    target_power = 10**30  # Estimated computational power needed for AGI
    growth_rate = 1.2  # Annual growth rate of computational power (1.2 = 20% per year)

    # Calculate the required years to reach target power
    required_years = math.log(target_power / base_power) / math.log(growth_rate)

    # Calculate probability based on years remaining
    if years >= required_years:
        return 1.0
    else:
        return years / required_years

if __name__ == '__main__':
    test_years = 50
    prob = agi_probability(test_years)
    print(f"Probability of achieving AGI within {test_years} years: {prob:.4f}")