def main():
settings.run()
start = datetime.now()
logger = logging.getLogger(__name__)
logger.info('Preprocessing started at second: %.2f',
(datetime.now() - start).total_seconds())
# preprocessing
(standarized_path, standarized_params, channel_index,
whiten_filter) = preprocess.run(output_directory='profiling',
if_file_exists='overwrite')
logger.info('Preprocessing finished and detection started at second: %.2f',
(datetime.now() - start).total_seconds())
# detection
(score, spike_index_clear,
spike_index_all) = detect.run(standarized_path,
standarized_params,
channel_index,
whiten_filter,
output_directory='profiling',
if_file_exists='overwrite',
save_results=True)
logger.info('Detection finished and clustering started at second: %.2f',
(datetime.now() - start).total_seconds())
# clustering
spike_train_clear = cluster.run(score, spike_index_clear,
output_directory='profiling',
if_file_exists='overwrite',
save_results=True)
logger.info('Clustering finished and templates started at second: %.2f',
(datetime.now() - start).total_seconds())
# templates
the_templates = templates.run(spike_train_clear,
output_directory='profiling',
if_file_exists='overwrite',
save_results=True)
logger.info('templates finished and deconvolution started at second: %.2f',
(datetime.now() - start).total_seconds())
# deconvolution
deconvolute.run(spike_index_all, the_templates,
output_directory='profiling')
logger.info('Deconvolution finished at second: %.2f',
(datetime.now() - start).total_seconds())
def run(self):
""" Cyclic execution for polling on alarm, move and settings """
loop_nb = 1
while self.is_loop_enabled is True:
#fct.log("DEBUG: Monitoring loop " + str(loop_nb))
if loop_nb % 10 == 0:
alarm.run()
move.run()
settings.run()
loop_nb += 1
if loop_nb >= 1000000:
loop_nb = 0
time.sleep(0.1)
def show_tray_icon(alarms):
menu_def = ['', ['&Настройки', '&О программе', '&Выход']]
tray = sGUI.SystemTray(menu=menu_def, filename=r'icon.png')
while True: # The event loop
menu_item = tray.read()
print(menu_item)
if menu_item == 'Выход':
break
elif menu_item == 'Настройки':
logging.info("Настройки")
settings.run(alarms)
elif menu_item == "О программе":
logging.info("О программе")
about.run()
def giveOption(self):
fightSceneOptions = {}
attackOptions = {}
itemOptions = {}
for item in self.player.stats.inventory.items:
if item.id == "weapon":
attackOptions[item.name] = item.attack
else:
itemOptions[item.name] = item.effect
for option in settings.fightOptions:
if option == "Attack":
fightSceneOptions[option] = attackOptions
elif option == "Items":
fightSceneOptions[option] = itemOptions
elif option == "Run":
fightSceneOptions[option] = settings.run()
else:
fightSceneOptions[option] = '??'
self.options = opBox.optionBox(fightSceneOptions)
self.options.setPos('bottomR')
def main():
settings.run()
start = datetime.now()
logger = logging.getLogger(__name__)
logger.info('Preprocessing started at second: %.2f',
(datetime.now() - start).total_seconds())
# preprocessing
(standarized_path, standarized_params, channel_index,
whiten_filter) = preprocess.run()
logger.info('Preprocessing finished and detection started at second: %.2f',
(datetime.now() - start).total_seconds())
# detection
(score, spike_index_clear,
spike_index_all) = detect.run(standarized_path, standarized_params,
channel_index, whiten_filter)
logger.info('Detection finished and clustering started at second: %.2f',
(datetime.now() - start).total_seconds())
# clustering
spike_train_clear = cluster.run(score, spike_index_clear)
logger.info('Clustering finished and templates started at second: %.2f',
(datetime.now() - start).total_seconds())
# templates
the_templates = templates.run(spike_train_clear)
logger.info('templates finished and deconvolution started at second: %.2f',
(datetime.now() - start).total_seconds())
# deconvolution
deconvolute.run(spike_index_all, the_templates)
logger.info('Deconvolution finished at second: %.2f',
(datetime.now() - start).total_seconds())
from pathlib import Path
import logging
from datetime import datetime
from memory_profiler import profile
import yass
from yass import deconvolute
import settings
if __name__ == '__main__':
settings.run()
start = datetime.now()
logger = logging.getLogger(__name__)
CONFIG = yass.read_config()
logger.info('Deconvolution started at second: %.2f',
(datetime.now() - start).total_seconds())
DIRECTORY = Path(CONFIG.data.root_folder, 'profiling')
spike_index_all = str(DIRECTORY / 'spike_index_all.npy')
templates = str(DIRECTORY / 'templates.npy')
profile(deconvolute.run)(spike_index_all,
templates,
output_directory='profiling')
logger.info('Deconvolution finished at second: %.2f',
(datetime.now() - start).total_seconds())
#!/usr/bin/env python # -*- coding: utf-8 -*- # ============================================================================= # FileName: client.py # Desc: 2015-15/3/9:下午11:27 # Author: 苦咖啡 # Email: [email protected] # HomePage: http://blog.kukafei520.net # History: # ============================================================================= from settings import run if __name__ == '__main__': run()
#!/usr/bin/env python # -*- coding: utf-8 -*- # ============================================================================= # FileName: service.py # Desc: 2015-15/2/26:下午9:19 # Author: 苦咖啡 # Email: [email protected] # HomePage: http://blog.kukafei520.net # History: # ============================================================================= from settings import run if __name__ == '__main__': run()
def startsettings(self):
# print("Starting settings server")
settings.run(self)
def settings():
settings.run()
