PointMLP/classification_ModelNet40/utils/progress/test_progress.py
2021-10-04 03:22:15 -04:00

49 lines
1.4 KiB
Python
Executable file

#!/usr/bin/env python
from __future__ import print_function
import random
import time
from progress.bar import (Bar, ChargingBar, FillingSquaresBar,
FillingCirclesBar, IncrementalBar, PixelBar,
ShadyBar)
from progress.spinner import (Spinner, PieSpinner, MoonSpinner, LineSpinner,
PixelSpinner)
from progress.counter import Counter, Countdown, Stack, Pie
def sleep():
t = 0.01
t += t * random.uniform(-0.1, 0.1) # Add some variance
time.sleep(t)
for bar_cls in (Bar, ChargingBar, FillingSquaresBar, FillingCirclesBar):
suffix = '%(index)d/%(max)d [%(elapsed)d / %(eta)d / %(eta_td)s]'
bar = bar_cls(bar_cls.__name__, suffix=suffix)
for i in bar.iter(range(200)):
sleep()
for bar_cls in (IncrementalBar, PixelBar, ShadyBar):
suffix = '%(percent)d%% [%(elapsed_td)s / %(eta)d / %(eta_td)s]'
bar = bar_cls(bar_cls.__name__, suffix=suffix)
for i in bar.iter(range(200)):
sleep()
for spin in (Spinner, PieSpinner, MoonSpinner, LineSpinner, PixelSpinner):
for i in spin(spin.__name__ + ' ').iter(range(100)):
sleep()
print()
for singleton in (Counter, Countdown, Stack, Pie):
for i in singleton(singleton.__name__ + ' ').iter(range(100)):
sleep()
print()
bar = IncrementalBar('Random', suffix='%(index)d')
for i in range(100):
bar.goto(random.randint(0, 100))
sleep()
bar.finish()