Source code for tvb.adapters.datatypes.h5.graph_h5

# -*- coding: utf-8 -*-
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from tvb.basic.neotraits.api import Attr
from tvb.datatypes.graph import Covariance, CorrelationCoefficients, ConnectivityMeasure
from tvb.adapters.datatypes.h5.spectral_h5 import DataTypeMatrixH5
from tvb.core.neotraits.h5 import DataSet, Reference, Json, Scalar

[docs] class CovarianceH5(DataTypeMatrixH5): def __init__(self, path): super(CovarianceH5, self).__init__(path) self.array_data = DataSet(Covariance.array_data, self, expand_dimension=2) self.source = Reference(Covariance.source, self)
[docs] def write_data_slice(self, partial_result): """ Append chunk. """ self.array_data.append(partial_result, close_file=False)
[docs] class CorrelationCoefficientsH5(DataTypeMatrixH5): def __init__(self, path): super(CorrelationCoefficientsH5, self).__init__(path) self.array_data = DataSet(CorrelationCoefficients.array_data, self) self.source = Reference(CorrelationCoefficients.source, self) self.labels_ordering = Json(CorrelationCoefficients.labels_ordering, self)
[docs] def get_correlation_data(self, selected_state, selected_mode): matrix_to_display = self.array_data[:, :, int(selected_state) - 1, int(selected_mode)] return list(matrix_to_display.flat)
[docs] class ConnectivityMeasureH5(DataTypeMatrixH5): def __init__(self, path): super(ConnectivityMeasureH5, self).__init__(path) self.array_data = DataSet(ConnectivityMeasure.array_data, self) self.connectivity = Reference(ConnectivityMeasure.connectivity, self) self.title = Scalar(Attr(str), self, name='title')
[docs] def get_array_data(self): return self.array_data[:]
[docs] def store(self, datatype, scalars_only=False, store_references=True): # type: (ConnectivityMeasure, bool, bool) -> None super(ConnectivityMeasureH5, self).store(datatype, scalars_only, store_references)
[docs] def load_into(self, datatype): # type: (ConnectivityMeasure) -> None super(ConnectivityMeasureH5, self).load_into(datatype) datatype.title = self.title.load()