def __init__(self, tasks):
self.tasks = tasks
widgets = [
widget.Bar(bar='*', tip='>'),
widget.Percentage(),
widget.Num(),
widget.ElapsedSeconds(),
widget.FinishedAt()
]
self.pb = ProgressBar(len(self.tasks), widgets=widgets)
def test_widget():
print('test_widget (iteration)')
widgets = [
widget.Bar(under=' ', tip='─', bar='─', before='├', after='┤'),
widget.Percentage(),
widget.Num()
]
format_str = '{} {} ({})'
ProgressBar.iteration(range(100),
lambda item: sleep(0.01),
widgets=widgets,
format_str=format_str)
def data_load():
folder = ['ayame', 'fubuki', 'subaru'] # 使用する画像のそれぞれのフォルダ
default_dir = r'D:\SystemFiles\pictures\cnn' # 上のフォルダの親ディレクトリ
x_train = []
y_train = []
x_test = []
y_test = []
print("学習データ読み込み")
with ProgressBar(2100) as progress_bar:
for index, name in enumerate(folder):
dir_name = default_dir + "/train/" + name
files = glob.glob(dir_name + "/*.png")
for i, file in enumerate(files):
img = cv2.imread(file)
r_img = cv2.resize(img, size)
x_train.append(r_img)
y_train.append(index)
progress_bar.forward()
print("テストデータ読み込み")
with ProgressBar(900) as progress_bar:
for index, name in enumerate(folder):
dir_name = default_dir + "/test/" + name
files = glob.glob(dir_name + "/*.png")
for i, file in enumerate(files):
img = cv2.imread(file)
r_img = cv2.resize(img, size)
x_test.append(r_img)
y_test.append(index)
progress_bar.forward()
x_train = np.array(x_train, dtype='float32')
x_train /= 255
x_test = np.array(x_test, dtype='float32')
x_test /= 255
y_train = np.array(y_train)
y_test = np.array(y_test)
# One-hotベクトルに変換
y_train = to_categorical(y_train)
y_test = to_categorical(y_test)
# 学習用データとテストデータ
# x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.30)
return x_train, y_train, x_test, y_test, len(folder)
def test_default():
print('test_default')
with ProgressBar(100) as progress_bar:
for item in range(100):
sleep(0.01)
progress_bar.forward()
assert progress_bar.progress == 1.0
class TaskManager(object):
def __init__(self, tasks):
self.tasks = tasks
widgets = [
widget.Bar(bar='*', tip='>'),
widget.Percentage(),
widget.Num(),
widget.ElapsedSeconds(),
widget.FinishedAt()
]
self.pb = ProgressBar(len(self.tasks), widgets=widgets)
def start(self):
self.pb.start()
self.execute()
def pop(self):
if len(self.tasks) == 0:
return
task = self.tasks.pop()
self.pb.forward()
return task
def execute(self):
t = self.pop()
if not t:
return
t.execute()
if len(self.tasks) > 0:
self.execute()
else:
self.pb.finish()
def test_error():
print('test_error')
try:
with ProgressBar(100) as progress_bar:
for item in range(100):
sleep(0.01)
if item >= 70:
raise Exception('test error')
progress_bar.forward()
except Exception as e:
pass
assert progress_bar.progress == 0.7
class TaskManager(object):
def __init__(self, tasks, no_threads=10):
self.tasks = tasks
self.no_threads = no_threads
widgets = [
widget.Bar(bar='*', tip='>'),
widget.Percentage(),
widget.Num(),
widget.ElapsedSeconds(),
widget.FinishedAt()
]
self.pb = ProgressBar(len(self.tasks), widgets=widgets)
def start(self):
self.pb.start()
for i in range(0, self.no_threads):
self.thread_start()
def pop(self):
if len(self.tasks) == 0:
return
task = self.tasks.pop()
self.pb.forward()
if len(self.tasks) == 0:
self.pb.finish()
return task
def thread_start(self):
if len(self.tasks) > 0:
thread = threading.Thread(target=self.execute)
thread.start()
def execute(self):
t = self.pop()
if not t:
return
t.execute()
self.thread_start()
def test_generation():
print('test_generataion')
for item in ProgressBar.generation(range(100)):
sleep(0.01)
def test_iteration():
print('test_iteration')
ProgressBar.iteration(range(100), lambda item: sleep(0.01))
floors = []
rent = []
admin = []
others = []
floor_plans = []
areas = []
detail_urls = []
# In[10]:
for url in urls:
soup = BeautifulSoup(requests.get(url).content)
summary = soup.find("div", {"id": "js-bukkenList"})
apartments = summary.find_all("div", {"class": "cassetteitem"})
url_progress = ProgressBar(len(urls))
apartment_progress = ProgressBar(len(apartments))
url_progress.start()
apartment_progress.start()
for apartment in apartments:
room_number = len(apartment.find_all("tbody"))
name = apartment.find('div', class_='cassetteitem_content-title').text
address = apartment.find("li", class_="cassetteitem_detail-col1").text
for i in range(room_number):
names.append(name)
addresses.append(address)
sublocation = apartment.find("li", class_="cassetteitem_detail-col2")
cols = sublocation.find_all("div")
from __future__ import print_function
import time
import datetime
import grove_2smpb_02e
from light_progress.commandline import ProgressBar
from light_progress import widget
Pground = 1010.3
P0 = 1013.25
pow = 1.0 / 5.256
sensor = grove_2smpb_02e.Grove2smpd02e()
widgets = ['..HP..', widget.Num(), widget.Bar()]
hitpoint = ProgressBar(100, widgets=widgets)
def cal_height():
press, temp = sensor.readData()
height = ((P0 / press)**pow -
(P0 / Pground)**pow) * (temp + 273.15) / 0.0065
return height
def cal_damage(height):
if height < 9:
damage = 0
elif height < 10:
damage = 12