Source code for tvb.adapters.datatypes.h5.projections_h5

# -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need to download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
#
# (c) 2012-2023, 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 <http://www.gnu.org/licenses/>.
#
#
#   CITATION:
# When using The Virtual Brain for scientific publications, please cite it as explained here:
# https://www.thevirtualbrain.org/tvb/zwei/neuroscience-publications
#
#
from tvb.core.neotraits.h5 import H5File, DataSet, Scalar, Reference, Json
from tvb.datatypes.projections import ProjectionMatrix


class ProjectionMatrixH5(H5File):

    def __init__(self, path):
        super(ProjectionMatrixH5, self).__init__(path)
        self.projection_type = Scalar(ProjectionMatrix.projection_type, self)
        self.brain_skull = Reference(ProjectionMatrix.brain_skull, self)
        self.skull_skin = Reference(ProjectionMatrix.skull_skin, self)
        self.skin_air = Reference(ProjectionMatrix.skin_air, self)
        self.conductances = Json(ProjectionMatrix.conductances, self)
        self.sources = Reference(ProjectionMatrix.sources, self)
        self.sensors = Reference(ProjectionMatrix.sensors, self)
        self.projection_data = DataSet(ProjectionMatrix.projection_data, self)

    def read_subtype_attr(self):
        return self.projection_type.load()