Source code for tvb.adapters.datatypes.h5.local_connectivity_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
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# This program is free software: you can redistribute it and/or modify it under the
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from tvb.core.neotraits.h5 import H5File, Scalar, Reference, SparseMatrix, EquationScalar
from tvb.datatypes.local_connectivity import LocalConnectivity
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class LocalConnectivityH5(H5File):
def __init__(self, path):
super(LocalConnectivityH5, self).__init__(path)
self.surface = Reference(LocalConnectivity.surface, self)
self.matrix = SparseMatrix(LocalConnectivity.matrix, self)
self.equation = EquationScalar(LocalConnectivity.equation, self)
self.cutoff = Scalar(LocalConnectivity.cutoff, self)
[docs]
def store(self, datatype, scalars_only=False, store_references=True):
# type: (LocalConnectivity, bool, bool) -> None
super(LocalConnectivityH5, self).store(datatype, scalars_only, store_references)
[docs]
def load_into(self, datatype):
# type: (LocalConnectivity) -> None
super(LocalConnectivityH5, self).load_into(datatype)
[docs]
def get_min_max_values(self):
metadata = self.matrix.get_metadata()
return metadata.min, metadata.max