Source code for tvb.adapters.datatypes.h5.connectivity_h5

# -*- coding: utf-8 -*-
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from tvb.basic.neotraits.api import NArray
from tvb.core.neotraits.h5 import H5File, DataSet, Scalar, Json, STORE_STRING, MEMORY_STRING
from tvb.datatypes.connectivity import Connectivity

[docs] class ConnectivityH5(H5File): def __init__(self, path): super(ConnectivityH5, self).__init__(path) self.region_labels = DataSet(NArray(dtype=STORE_STRING), self, "region_labels") self.weights = DataSet(Connectivity.weights, self) self.undirected = Scalar(Connectivity.undirected, self) self.tract_lengths = DataSet(Connectivity.tract_lengths, self) self.centres = DataSet(Connectivity.centres, self) self.cortical = DataSet(Connectivity.cortical, self) self.hemispheres = DataSet(Connectivity.hemispheres, self) self.orientations = DataSet(Connectivity.orientations, self) self.areas = DataSet(Connectivity.areas, self) self.number_of_regions = Scalar(Connectivity.number_of_regions, self) self.number_of_connections = Scalar(Connectivity.number_of_connections, self) self.parent_connectivity = Scalar(Connectivity.parent_connectivity, self) self.saved_selection = Json(Connectivity.saved_selection, self)
[docs] def get_centres(self): return self.centres.load()
[docs] def get_region_labels(self): return self.region_labels.load()
[docs] def store(self, datatype, scalars_only=False, store_references=True): # type: (Connectivity, bool, bool) -> None super(ConnectivityH5, self).store(datatype, scalars_only, store_references)
[docs] def load_into(self, datatype): # type: (Connectivity) -> None super(ConnectivityH5, self).load_into(datatype) datatype.region_labels = self.region_labels.load().astype(MEMORY_STRING)