hi multiprocessing.py

from multiprocessing import Pool, current_process, cpu_count
import os, time

def io_bound_task(num):
    start_time = time.time()
    print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Starting Task {num}")
    time.sleep(2)  # simulate I/O-bound task with delay
    end_time = time.time()
    print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Finished Task {num}, Execution time: {end_time - start_time} seconds")

if __name__ == "__main__":
    st = time.time()
    num_processes = cpu_count()  # get number of available processors
    with Pool(num_processes) as p:
        tasks = range(num_processes)  # 10 tasks to be done
        print(tasks)
        p.map(io_bound_task, tasks)
    et = time.time()
    print(f"Entire execution time: {et - st} seconds")
import os, time
from multiprocessing import cpu_count, current_process

def io_bound_task(num):
    start_time = time.time()
    print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Starting Task {num}")
    time.sleep(2)  # simulate I/O-bound task with delay
    end_time = time.time()
    print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Finished Task {num}, Execution time: {end_time - start_time} seconds")

if __name__ == "__main__":
    st = time.time()
    num_processes = cpu_count()  # get number of available processors
    tasks = range(num_processes)  # 10 tasks to be done
    print(tasks)
    for task in tasks:
        io_bound_task(task)
    et = time.time()
    print(f"Entire execution time: {et - st} seconds")

from multiprocessing import Pool, current_process, cpu_count
import os, time

def io_bound_task(num):
start_time = time.time()
print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Starting Task {num}")
time.sleep(2) # simulate I/O-bound task with delay
end_time = time.time()
print(f"Process ID: {os.getpid()}, Process Name: {current_process().name}, Finished Task {num}, Execution time: {end_time - start_time} seconds")

def multiProcess():
st = time.time()
num_processes = cpu_count() # get number of available processors
with Pool(num_processes) as p:
tasks = range(num_processes) # 10 tasks to be done
print(tasks)
p.map(io_bound_task, tasks)
et = time.time()
print(f"Entire execution time: {et - st} seconds")

def singleProcess():
st = time.time()
num_processes = cpu_count() # get number of available processors
tasks = range(num_processes) # 10 tasks to be done
print(tasks)
for task in tasks:
io_bound_task(task)
et = time.time()
print(f"Entire execution time: {et - st} seconds")

if name == "main":
singleProcess()
multiProcess()