The Virtual Brain Project

Source code for tvb.datatypes.simulation_state

# -*- coding: utf-8 -*-
#  TheVirtualBrain-Scientific Package. This package holds all simulators, and 
# analysers necessary to run brain-simulations. You can use it stand alone or
# in conjunction with TheVirtualBrain-Framework Package. See content of the
# documentation-folder for more details. See also
# (c) 2012-2017, Baycrest Centre for Geriatric Care ("Baycrest") and others
# This program is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE.  See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along with this
# program.  If not, see <>.
# When using The Virtual Brain for scientific publications, please cite it as follows:
#   Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide,
#   Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013)
#       The Virtual Brain: a simulator of primate brain network dynamics.
#   Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)
DataType for storing a simulator's state in files and as DB reference.

.. moduleauthor:: Lia Domide <>

import tvb.basic.traits.types_basic as basic
import tvb.datatypes.arrays as arrays
from tvb.basic.traits.types_mapped import MappedType

[docs]class SimulationState(MappedType): """ Simulation State, prepared for H5 file storage. """ # History Array history = arrays.FloatArray(required=False) # State array, all state variables current_state = arrays.FloatArray(required=False) # Simulator's current step number (in time) current_step = basic.Integer() # Array with _stock array for every monitor configured in current simulation. # As the monitors are dynamic, we prepare a bunch of arrays for storage in H5 file. monitor_stock_1 = arrays.FloatArray(required=False) monitor_stock_2 = arrays.FloatArray(required=False) monitor_stock_3 = arrays.FloatArray(required=False) monitor_stock_4 = arrays.FloatArray(required=False) monitor_stock_5 = arrays.FloatArray(required=False) monitor_stock_6 = arrays.FloatArray(required=False) monitor_stock_7 = arrays.FloatArray(required=False) monitor_stock_8 = arrays.FloatArray(required=False) monitor_stock_9 = arrays.FloatArray(required=False) monitor_stock_10 = arrays.FloatArray(required=False) monitor_stock_11 = arrays.FloatArray(required=False) monitor_stock_12 = arrays.FloatArray(required=False) monitor_stock_13 = arrays.FloatArray(required=False) monitor_stock_14 = arrays.FloatArray(required=False) monitor_stock_15 = arrays.FloatArray(required=False) def __init__(self, **kwargs): """ Constructor for Simulator State """ super(SimulationState, self).__init__(**kwargs) self.visible = False def populate_from(self, simulator_algorithm): """ Prepare a state for storage from a Simulator object. """ self.history = simulator_algorithm.history.buffer.copy() self.current_step = simulator_algorithm.current_step self.current_state = simulator_algorithm.current_state for i, monitor in enumerate(simulator_algorithm.monitors): field_name = "monitor_stock_" + str(i + 1) setattr(self, field_name, monitor._stock) if hasattr(monitor, "_ui_name"): self.set_metadata({'monitor_name': monitor._ui_name}, field_name) else: self.set_metadata({'monitor_name': monitor.__class__.__name__}, field_name) def fill_into(self, simulator_algorithm): """ Populate a Simulator object from current stored-state. """ simulator_algorithm.history.initialize(self.history) simulator_algorithm.current_step = self.current_step simulator_algorithm.current_state = self.current_state for i, monitor in enumerate(simulator_algorithm.monitors): monitor._stock = getattr(self, "monitor_stock_" + str(i + 1))