import random

def calculateprobability1(attempts):
    """
    Calculates the probability of a specific outcome by running a simulation.

    The simulation involves summing five random integers (0 or 1).
    A 'success' is recorded if the sum is exactly 3.

    Args:
        attempts (int): The number of times to run the simulation.

    Returns:
        float: The calculated probability of success.
    """
    success = 0
    for _ in range(attempts):
        sum_of_rolls = (
            random.randint(0, 1) + 
            random.randint(0, 1) + 
            random.randint(0, 1) + 
            random.randint(0, 1) + 
            random.randint(0, 1)
        )
        if sum_of_rolls == 3:
            success += 1

    print("Number of attempts = ", attempts)
    print("Number of success = ", success)

    return success / attempts

# Example usage:
# probability = calculateprobability1(10000)
# print("Calculated Probability =", probability)

import random

def calculateprobability2(attempts):
    """
    Calculates the probability of getting three consecutive successes (represented by 1)
    in a series of random trials.

    Args:
        attempts (int): The number of trials to run the simulation.

    Returns:
        float: The estimated probability of a success, based on the simulation.
    """
    success = 0
    for _ in range(attempts):
        # A 'success' is defined as three consecutive random integers
        # from a range of [0, 1] being exactly 1.
        if (random.randint(0, 1) == 1 and 
            random.randint(0, 1) == 1 and 
            random.randint(0, 1) == 1):
            success += 1

    print("Number of attempts =", attempts)
    print("Number of success =", success)

    return success / attempts

# Example usage:
# probability = calculateprobability2(100000)
# print(f"Estimated probability: {probability}")