def __init__(self, data=Data()):
self.data=data
print('Запускаем плоттер')
self._vp_config()
self._plot()
plt.show()
def calculate_for(self, index, x, y):
"""
Calculate the values for the point
"""
origin = Point(x, y, self.star.line.width)
neighbors = []
for point in points.neighbors(origin, self.width, self.height):
value = self.raw_data[point.y][point.x]
if isinstance(value, numpy.ndarray):
neighbors.append(mean(value))
else:
neighbors.append(value)
min_value = min(neighbors)
max_value = max(neighbors)
average_value = mean(neighbors)
median_value = median(neighbors)
return Data(index, float(average_value), float(median_value),
float(min_value), float(max_value), origin)
def __init__(self):
self.model = Data()
self.application = tkinter.Tk()
self.application.title("Osztályozó")
self.insert_after = tkinter.Button(
self.application,
text='insert new task after',
command=self.insert_task_after_selected)
self.insert_after.pack()
self.task_hierarchy = tkinter.ttk.Treeview(self.application,
columns=('weight', ))
self.task_hierarchy.heading('weight', text='Weight')
self.edit_popup = None
self.display_task(self.model.task)
self.task_hierarchy.bind(
'<<TreeviewSelect>>',
lambda args: print(self.task_hierarchy.selection()))
self.task_hierarchy.bind("<Button-3>", self.engage_edit)
self.task_hierarchy.pack()
self.application.mainloop()
# -*- coding: utf-8 -*-
from random import choice
from string import digits
from model.data import Data
testdata = [
Data(email = "AutoTestUser_{}_{}@ki.ki", name = "Auto.test.user_{}_{}", userId = (''.join(choice(digits) for i in range(5))),
phone = (''.join(choice(digits) for i in range(15))), role = 0)
]
from __future__ import print_function
import sys
from model.user import printUsers
from model.data import Data
from config import *
if __name__ == "__main__":
showAll = '--all' in sys.argv
csv = '--csv' in sys.argv
data = Data(dataFolder=getDataFile())
users = data.getUsers()
def _noInPortal(u):
return not u.inPortal()
def _noPiInPortal(u):
return u.inPortal() and not u.isPi() and not u.getGroup(
) == 'fac' and not u.inPortalPi()
def _noSe(u):
return not u.getEmail().endswith('.se')
users.sort(key=lambda u: u.getFullName())
if showAll:
printUsers(users, csv=csv)
else:
print("\n\n>>> NOT IN PORTAL >>>")
type=float,
default=10.0,
help='weight on L1 term in objective')
parser.add_argument('--use_resnet',
dest='use_resnet',
type=bool,
default=True,
help='generation network using reidule block')
parser.add_argument('--use_lsgan',
dest='use_lsgan',
type=bool,
default=True,
help='gan loss defined in lsgan')
parser.add_argument(
'--max_size',
dest='max_size',
type=int,
default=50,
help='max size of image pool, 0 means do not use image pool')
parser.add_argument('--is_training',
dest='is_training',
type=bool,
default=True,
help='is training or not')
args = parser.parse_args()
data = Data(args.img_size, args.is_training)
xgan = XGAN(args, encoder, decoder, discriminator, data)
xgan.train()
def parse_json_ohm(json):
"""
Parse request json
:return:
"""
try:
# Parser all components
pc_componens = list(
filter(lambda c: c.name is not None,
get_component_prop(get_children(get_children(json)[0]))))
# Mother board
fans = parser_mother_board(pc_componens)
# Cpu
cpu = list(filter(lambda c: str(c.name) in CPU, pc_componens))[0]
name = cpu.name
model = cpu.model
image = cpu.image
# Cores
clock = get_prop_cpu(
get_children(
list(
filter(lambda x: x.get('Text') in 'Clocks',
cpu.properties))[0]))
temp = get_prop_cpu(
get_children(
list(
filter(lambda x: x.get('Text') in 'Temperatures',
cpu.properties))[0]))
load = get_prop_cpu(
get_children(
list(filter(lambda x: x.get('Text') in 'Load',
cpu.properties))[0]))
# power = get_prop_cpu(get_children(list(filter(lambda x: x.get('Text') in 'Powers', cpu.properties))[0]))
cores = list()
for key in list(map(lambda x: list(x.keys())[0], clock)):
cores.append(
Core(
key,
Value(
list(filter(lambda x: list(x.keys())[0] in key,
temp))[0].get(key)),
Value(
list(filter(lambda x: list(x.keys())[0] in key,
load))[0].get(key)),
Value(
list(filter(lambda x: list(x.keys())[0] in key,
clock))[0].get(key))))
t = 0.0
l = 0.0
c = 0.0
for core in cores:
t = t + core.temp.value
l = l + core.load.value
c = c + core.frec.value
cpu = Cpu(name=name,
cores=cores,
load_total=l / len(cores),
temp_total=list(
filter(lambda c: 'CPU Package' in str(c),
temp))[0]['CPU Package'][0])
gpu_json = list(filter(lambda c: str(c.name) in GPU, pc_componens))[0]
gpu_temp = get_children(
list(
filter(lambda c: str(c['Text']) in "Temperatures",
gpu_json.properties))[0])[0]['Value']
gpu_load = get_children(
list(
filter(lambda c: str(c['Text']) in "Load",
gpu_json.properties))[0])[0]['Value']
gpu = Gpu(name=gpu_json.name, temp=Data(gpu_temp), load=Data(gpu_load))
return Pc(cpu=cpu, fans=fans, gpu=gpu)
except Exception as ex:
logger.error(str(ex))
return None
PositionsInCheck(place_in_list=1, cout=1, need_mark=False, mark=None)]
documents = [Checks(check_number=1,
document_type='registration',
report_type=1,
check_type=None,
help_setting=None,
sale=False,
type_close=1,
positions=positions),
Checks(check_number=1,
document_type='report',
report_type=7,
check_type=None,
help_setting=None,
sale=False,
type_close=1,
positions=positions)]
data = Data(settings=settings, data=documents)
f = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'example.json')
with open(f, 'w') as out:
jsonpickle.set_encoder_options('json', indent=2)
out.write(jsonpickle.encode(data))
