27_yield

import memory_profiler
import random
import time

print('memory before: {} mb'.format(memory_profiler.memory_usage()))

name = ['js', 'php', 'python']
major = ['front-end', 'server', 'machine-learning']

def peopleList(num):
    result = []
    for i in range(num):
        person = {
            'id': i,
            'name': random.choice(name),
            'major': random.choice(major)
        }
        result.append(person)
    return result

def generator(num):
    for i in range(num):
        person = {
            'id': i,
            'name': random.choice(name),
            'major': random.choice(major)
        }
        yield person

# time consuming
# -----------------

# t1 = time.perf_counter()
# output = peopleList(1000)
# t2 = time.perf_counter()

# time efficient
# ----------------
t1 = time.perf_counter()
output = generator(1000)
t2 = time.perf_counter()

print('memory after: {} mb'.format(memory_profiler.memory_usage()))
print('took {} sec'.format(t2 - t1))