The Virtual Brain Project

Source code for tvb.datatypes.mapped_values

# -*- 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
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# 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)
.. moduleauthor:: Bogdan Neacsa <>
.. moduleauthor:: Lia Domide <>

from tvb.basic.traits.types_mapped import MappedType
from tvb.basic.traits.types_basic import JSONType, String, Dict
from tvb.datatypes.time_series import TimeSeries

# Accepted Value Types to be stored.
ACCEPTED_TYPES = ['float', 'int']

[docs]class ValueWrapper(MappedType): """ Class to wrap a singular value storage in DB. """ data_value = JSONType() data_type = String(default='unknown') data_name = String() @property def display_name(self): """ Simple String to be used for display in UI.""" return "Value Wrapper - " + self.data_name +" : "+ str(self.data_value) + " ("+ str(self.data_type)+ ")"
[docs]class DatatypeMeasure(MappedType): """ Class to hold the metric for a previous stored DataType. E.g. Measure (single value) for any TimeSeries resulted in a group of Simulations """ ### Actual measure (dictionary Algorithm: single Value) metrics = Dict ### DataType for which the measure was computed. analyzed_datatype = TimeSeries @property def display_name(self): """ To be implemented in each sub-class which is about to be displayed in UI, and return the text to appear. """ name = "-" if self.metrics is not None: value = "\n" for entry in self.metrics: value = value + entry + ' : ' + str(self.metrics[entry]) + '\n' name = value return name