/
calculations_process_class.py
70 lines (49 loc) · 1.72 KB
/
calculations_process_class.py
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import multiprocessing
import time
def sum_of_squares(n: int) -> int:
"""Calculate the sum of squares for a given number.
Args:
n (int): The input number.
Returns:
int: The sum of squares.
"""
return sum(i**2 for i in range(1, n + 1))
def is_perfect(n: int) -> bool:
"""Check if a number is a perfect number.
Args:
n (int): The input number.
Returns:
bool: True if the number is perfect, False otherwise.
"""
sum_factors = sum(i for i in range(1, n) if n % i == 0)
return sum_factors == n
def process_number(num: int, result_queue: multiprocessing.Queue) -> None:
"""Process a number, calculate sum of squares and check for perfection.
Args:
num (int): The number to process.
result_queue (multiprocessing.Queue): The queue to store the result.
"""
sum_result = sum_of_squares(num)
perfect_result = is_perfect(num)
result_queue.put((num, sum_result, perfect_result))
if __name__ == "__main__":
start_range = 1
end_range = 10000
start_time = time.time()
result_queue = multiprocessing.Queue()
processes = []
for num in range(start_range, end_range):
process = multiprocessing.Process(
target=process_number, args=(num, result_queue)
)
processes.append(process)
process.start()
for process in processes:
process.join()
results = []
for _ in range(end_range - start_range):
results.append(result_queue.get())
end_time = time.time()
for num, sum_result, perfect_result in results:
print(f"Number: {num}, Sum of Squares: {sum_result}, Perfect: {perfect_result}")
print(f"Done in {end_time - start_time:.4f} seconds")