MightyOctopus/python-to-cpp-code-optimizer

1 2pi_1 = """3import time4def calculate(iterations, p1, p2):5    result = 1.0 6    for i in range(1, iterations+1):7        j = i * p1 - p28        result -= (1/j)9        j = i * p1 + p210        result += (1/j)11    return result12### USE Or MODIFY THIS CODE BELOW IF YOU NEED CODE EXECUTION CHECK -- EXAMPLE BELOW: 13start_time = time.time()14final_result = calculate(100_000_000, 4, 1) * 415end_time = time.time()16print(f"Result: {final_result:.12f}")17print(f"Execution Time: {(end_time - start_time):.6f} seconds")18"""19 20pi_2 = """21import time22def lcg(seed, a=1664525, c=1013904223, m=2**32):23    value = seed24    while True:25        value = (a * value + c) % m26        yield value27def max_subarray_sum(n, seed, min_val, max_val):28    '''Generate n pseudo-random numbers using LCG and find max subarray sum.'''29    lcg_gen = lcg(seed)30    random_numbers = [next(lcg_gen) % (max_val - min_val + 1) + min_val for _ in range(n)]31    # Kadane’s Algorithm32    max_sum = float('-inf')33    current_sum = 034    for x in random_numbers:35        current_sum = max(x, current_sum + x)36        max_sum = max(max_sum, current_sum)37    return max_sum, random_numbers38def total_max_subarray_sum(n, initial_seed, min_val, max_val):39    total_sum = 040    lcg_gen = lcg(initial_seed)41    for _ in range(20):42        seed = next(lcg_gen)43        max_sum, _ = max_subarray_sum(n, seed, min_val, max_val)  # unpack tuple44        total_sum += max_sum45    return total_sum46# Parameters47n = 1000048initial_seed = 4249min_val = -1050max_val = 1051# Timing52start_time = time.time()53result = total_max_subarray_sum(n, initial_seed, min_val, max_val)54end_time = time.time()55print("Total Maximum Subarray Sum (20 runs):", result)56print("Execution Time: {:.6f} seconds".format(end_time - start_time))57"""58