Source code for tvb.adapters.datatypes.h5.temporal_correlations_h5

# -*- coding: utf-8 -*-
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from tvb.adapters.datatypes.h5.spectral_h5 import DataTypeMatrixH5
from tvb.core.neotraits.h5 import DataSet, Reference, Json
from tvb.datatypes.temporal_correlations import CrossCorrelation

[docs] class CrossCorrelationH5(DataTypeMatrixH5): def __init__(self, path): super(CrossCorrelationH5, self).__init__(path) self.array_data = DataSet(CrossCorrelation.array_data, self, expand_dimension=3) self.source = Reference(CrossCorrelation.source, self) self.time = DataSet(CrossCorrelation.time, self) self.labels_ordering = Json(CrossCorrelation.labels_ordering, self)
[docs] def read_data_shape(self): """ The shape of the data """ return self.array_data.shape
[docs] def read_data_slice(self, data_slice): """ Expose chunked-data access. """ return self.array_data[data_slice]
[docs] def write_data_slice(self, partial_result): """ Append chunk. """ self.array_data.append(partial_result.array_data, close_file=False)