I'm trying to run this code and it's giving this error... what is the solution for this problem?

import collections import multiprocessing import os import time from pprint import pprint

Scientist = collections.namedtuple('Scientest', [ 'name', 'field', 'born', 'nobel', ]) scientists = ( Scientist(name = 'Ada Lovelace', field = 'math', born = '1815', nobel = False), Scientist(name = 'Emmy Noether', field = 'math', born = '188255', nobel = False), Scientist(name = 'Marie Curie', field = 'physics', born = '1867', nobel = True), Scientist(name = 'Tu Youyou', field = 'chemistry', born = '1930', nobel = True), Scientist(name = 'Ada Yonath', field = 'chemistry', born = '1939', nobel = True), Scientist(name = 'Vera Rubin', field = 'astronomy', born = '1928', nobel = False), Scientist(name = 'Sally Ride', field = 'physics', born = '1951', nobel = False), )

print(scientists) print()

def transform(x): print(f'Process {os.getegid()} working record {x.name}') time.sleep(1) result = {'name': x.name, age: 2023 - x.born} print(f'Process {os.getegid()} done processing record {x.name}') return result

start = time.time() pool = multiprocessing.Pool(processes= 3) result = pool.map(transform, scientists)

end = time.time() print(f' Time to complete: {end - start: .2f}s ') print(result)