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

Student = collections.namedtuple('Student', [
    'name',
    'born',
    'gender',
    'location',
])

students = (
    Student(name='Valentyn Marusyk', born=1998, gender='male', location='Chernivtsi'),
    Student(name='Debora Jheryada', born=1999, gender='female', location='Chernivtsi'),
    Student(name='Vitaliy Kapaniyk', born=1998, gender='male', location='Ivano-Frankivsk'),
    Student(name='Sanya Tatarchyk', born=1996, gender='male', location='Chernivtsi'),
    Student(name='Sanya Pankevich', born=1998, gender='male', location='Chernivtsi'),
    Student(name='Denis Malaiko', born=1998, gender='male', location='Chernivtsi'),
)
pprint(students)
print()


def transform(x):
    print(f'Process {os.getpid()} working record {x.name}')
    time.sleep(1)
    result = {'name': x.name, 'age': 2019 - x.born}
    print(f'Process {os.getpid()} done processing record {x.name}')
    return result


start = time.time()

pool = multiprocessing.Pool()
result = pool.map(transform, students)
#result = tuple(map(transform, students))

end = time.time()

print(f'\n Time to complete: {end - start:.2f}s\n')
pprint(result)