Source code for tvb.adapters.datatypes.h5.patterns_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) 2012-2024, 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
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# 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
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# CITATION:
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from tvb.basic.neotraits.api import NArray
from tvb.datatypes.patterns import StimuliRegion, StimuliSurface
from tvb.core.neotraits.h5 import H5File, Reference, DataSet, EquationScalar
[docs]
class StimuliRegionH5(H5File):
def __init__(self, path):
super(StimuliRegionH5, self).__init__(path)
self.spatial = EquationScalar(StimuliRegion.spatial, self)
self.temporal = EquationScalar(StimuliRegion.temporal, self)
self.connectivity = Reference(StimuliRegion.connectivity, self)
self.weight = DataSet(StimuliRegion.weight, self)
[docs]
def store(self, datatype, scalars_only=False, store_references=True):
super(StimuliRegionH5, self).store(datatype, scalars_only, store_references)
self.connectivity.store(datatype.connectivity)
[docs]
class StimuliSurfaceH5(H5File):
def __init__(self, path):
super(StimuliSurfaceH5, self).__init__(path)
self.spatial = EquationScalar(StimuliSurface.spatial, self)
self.temporal = EquationScalar(StimuliSurface.temporal, self)
self.surface = Reference(StimuliSurface.surface, self)
self.focal_points_surface = DataSet(NArray(dtype=int), self, name='focal_points_surface')
self.focal_points_triangles = DataSet(StimuliSurface.focal_points_triangles, self)
[docs]
def store(self, datatype, scalars_only=False, store_references=True):
super(StimuliSurfaceH5, self).store(datatype, scalars_only, store_references)
self.focal_points_surface.store(datatype.focal_points_surface)