Source code for spynnaker8.models.variable_cache

# Copyright (c) 2017-2019 The University of Manchester
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# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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[docs]class VariableCache(object): """ Simple holder method to keep data, IDs, indexes and units together Typically used to recreate the Neo object for one type of variable for\ one segment """ __slots__ = ("__data", "__indexes", "__n_neurons", "__sampling_interval", "__units") def __init__(self, data, indexes, n_neurons, units, sampling_interval): """ :param data: raw data in sPyNNaker format :type data: nparray :param indexes: Population indexes for which data was collected :type indexes: list (int) :param n_neurons: Number of neurons in the population,\ regardless of whether they were recording or not. :type n_neurons: int :param units: the units in which the data is :type units: str """ self.__data = data self.__indexes = indexes self.__n_neurons = n_neurons self.__units = units self.__sampling_interval = sampling_interval @property def data(self): return self.__data @property def indexes(self): return self.__indexes @property def n_neurons(self): return self.__n_neurons @property def units(self): return self.__units @property def sampling_interval(self): return self.__sampling_interval