stack_queue_perf - GitPress.io

Example Python program stack_queue_perf.py
Modules

from collections import deque
import logging
from queue import Queue
import time
import typing as t
import matplotlib
import matplotlib.axes._subplots
import matplotlib.pyplot as plt
import matplotlib.ticker
import numpy as np
Code

Python example
# based on
# https://qiita.com/saba/items/107c4237206e31acdbef
# Pythonのスタックとキューには何を使えばいいのか（各データ構造の速度比較）
# by @saba (https://qiita.com/saba)

from collections import deque
import logging
from queue import Queue
import time
import typing as t

import matplotlib
import matplotlib.axes._subplots
import matplotlib.pyplot as plt
import matplotlib.ticker

import numpy as np

# n_iters = np.logspace(start=2.0, stop=6.0, num=41)
n_iters = np.logspace(start=2.0, stop=5.0, num=31)
n_iters = list(map(int, n_iters))

logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

logger.info('stack(list)')

stack_list_append = []
stack_list_pop = []
for n_iter in n_iters:
    logger.debug(f'{n_iter} add')
    start = time.time()
    stack_list = []
    for i in range(n_iter):
        stack_list.append(i)
    stack_list_append.append(time.time() - start)

    logger.debug(f'{n_iter} del')
    start = time.time()
    for i in range(n_iter):
        stack_list.pop()

    stack_list_pop.append(time.time() - start)

logger.info('stack(deque)')

stack_deque_append = []
stack_deque_pop = []
for n_iter in n_iters:
    logger.debug(f'{n_iter} add')
    start = time.time()
    stack_deque = deque([])
    for i in range(n_iter):
        stack_deque.append(i)
    stack_deque_append.append(time.time() - start)

    logger.debug(f'{n_iter} del')
    start = time.time()
    for i in range(n_iter):
        stack_deque.pop()

    stack_deque_pop.append(time.time() - start)

logger.info('queue(list)')

queue_list_append = []
queue_list_pop = []
for n_iter in n_iters:
    logger.debug(f'{n_iter} add')
    start = time.time()
    queue_list = []
    for i in range(n_iter):
        queue_list.append(i)
    queue_list_append.append(time.time() - start)

    logger.debug(f'{n_iter} del')
    start = time.time()
    for i in range(n_iter):
        queue_list.pop(0)

    queue_list_pop.append(time.time() - start)

logger.info('queue(deque)')

queue_deque_append = []
queue_deque_pop = []
for n_iter in n_iters:
    logger.debug(f'{n_iter} add')
    start = time.time()
    queue_deque = deque([])
    for i in range(n_iter):
        queue_deque.append(i)
    queue_deque_append.append(time.time() - start)

    logger.debug(f'{n_iter} del')
    start = time.time()
    for i in range(n_iter):
        queue_deque.popleft()

    queue_deque_pop.append(time.time() - start)

logger.info('queue(Queue)')

queue_Queue_append = []
queue_Queue_pop = []

for n_iter in n_iters:
    logger.debug(f'{n_iter} add')
    start = time.time()
    queue_Queue = Queue()
    for i in range(n_iter):
        queue_Queue.put(i)
    queue_Queue_append.append(time.time() - start)

    logger.debug(f'{n_iter} del')
    start = time.time()
    for i in range(n_iter):
        queue_Queue.get()

    queue_Queue_pop.append(time.time() - start)

logger.info('plots')

fig, axs = plt.subplots(2, 2)
axs: t.List[t.List[t.Union[matplotlib.axes.Axes, matplotlib.axes.Subplot]]]
# actually:
# axs: np.ndarray
# axs[0, 0]: matplotlib.axes._subplots.AxesSubplot

axs[0][0].loglog(n_iters, stack_list_append, '.-')
axs[0][0].loglog(n_iters, stack_deque_append, '.-')
axs[0][0].grid(True)
axs[0][0].set_xticks([100, 1_000, 10_000, 100_000, 1_000_000])
axs[0][0].yaxis.set_major_formatter(matplotlib.ticker.EngFormatter(unit='s'))
axs[0][0].set_title('stack_append')
axs[0][0].set_xlabel('Iterations')
axs[0][0].set_ylabel('Time [s]')
axs[0][0].legend(['list_append', 'deque_append'])

axs[0][1].loglog(n_iters, stack_list_pop, '.-')
axs[0][1].loglog(n_iters, stack_deque_pop, '.-')
axs[0][1].grid(True)
axs[0][1].set_xticks([100, 1_000, 10_000, 100_000, 1_000_000])
axs[0][1].yaxis.set_major_formatter(matplotlib.ticker.EngFormatter(unit='s'))
axs[0][1].set_title('stack_pop')
axs[0][1].set_xlabel('Iterations')
axs[0][1].set_ylabel('Time [s]')
axs[0][1].legend(['list_pop', 'deque_pop'])

axs[1][0].loglog(n_iters, queue_list_append, '.-')
axs[1][0].loglog(n_iters, queue_deque_append, '.-')
axs[1][0].loglog(n_iters, queue_Queue_append, '.-')
axs[1][0].grid(True)
axs[1][0].set_xticks([100, 1_000, 10_000, 100_000, 1_000_000])
axs[1][0].yaxis.set_major_formatter(matplotlib.ticker.EngFormatter(unit='s'))
axs[1][0].set_title('queue_append')
axs[1][0].set_xlabel('Iterations')
axs[1][0].set_ylabel('Time [s]')
axs[1][0].legend(['list_append', 'deque_append', 'Queue_append'])

axs[1][1].loglog(n_iters, queue_list_pop, '.-')
axs[1][1].loglog(n_iters, queue_deque_pop, '.-')
axs[1][1].loglog(n_iters, queue_Queue_pop, '.-')
axs[1][1].grid(True)
axs[1][1].set_xticks([100, 1_000, 10_000, 100_000, 1_000_000])
axs[1][1].yaxis.set_major_formatter(matplotlib.ticker.EngFormatter(unit='s'))
axs[1][1].set_title('queue_pop')
axs[1][1].set_xlabel('Iterations')
axs[1][1].set_ylabel('Time [s]')
axs[1][1].legend(['list_pop', 'deque_pop', 'Queue_pop'])

fig.show()

exit(0)
Useful Links

Articles: https://python-commandments.org/
Python shell: https://bsdnerds.org/learn-python/
Tutorial: https://pythonprogramminglanguage.com/