import plotly.graph_objs as go
py.sign_in('cheremushkin', 'fsdjBUr906AXZS6CsKmT')
# edit Events parameter for this calibration
def dissociation(self, x, y, hydrolysed):
return -np.log(np.random.random()) / float(
self.config['general']['koff']), 'dissociation', x, y
Events.dissociation = dissociation
if __name__ == "__main__":
files = Files('gmpcpp')
config = files.get_config()
# get config data
lateral_start = float(config['calibration']['lat-start'])
lateral_end = float(config['calibration']['lat-end'])
lateral_steps = int(config['calibration']['lat-steps'])
koff_start = float(config['calibration']['koff-start'])
koff_end = float(config['calibration']['koff-end'])
koff_steps = int(config['calibration']['koff-steps'])
# remove config data
config.remove_section('calibration')
files.change_config(config)
files.create_config()
x = np.linspace(lateral_start, lateral_end, num=lateral_steps)
from core.microtubule import Microtubule
from core.files import Files
from core.events import Events
def build(files):
config = files.get_config()
# создание микротрубочки
mt = Microtubule(columns=int(config['mt']['protofilaments']),
timer=float(config['time']['timer']),
fps=float(config['time']['fps']),
events=Events(config),
mode='window',
window=5)
mt.build()
if __name__ == "__main__":
files = Files('flat')
files.get_config()
# build and generate output
build(files)
#files.make_csv(build(files))
#print("Выполнено за {} секунд".format((stop - start)))