pypet/storageservice.py
def _prm_read_shared_data(self, shared_node, instance):
        """Reads shared data and constructs the appropraite class.

        :param shared_node:

            hdf5 node storing the pandas DataFrame

        :param full_name:

            Full name of the parameter or result whose data is to be loaded

        :return:

            Data to load

        """
        try:
            data_type = self._all_get_from_attrs(shared_node,
                                                 HDF5StorageService.SHARED_DATA_TYPE)
            constructor = shared.FLAG_CLASS_MAPPING[data_type]
            name = shared_node._v_name
            result = constructor(name=name, parent=instance)
            return result
        except:
            self._logger.error('Failed loading `%s` of `%s`.' % (shared_node._v_name,
                                                                 instance.v_full_name))
            raise
def _prm_read_shared_data(self, shared_node, instance):
        try:
            data_type = self._all_get_from_attrs(shared_node,
                                                 HDF5StorageService.SHARED_DATA_TYPE)
            constructor = shared.FLAG_CLASS_MAPPING[data_type]
            name = shared_node._v_name
            result = constructor(name=name, parent=instance)
            return result
        except:
            self._logger.error('Failed loading `%s` of `%s`.' % (shared_node._v_name,
                                                                 instance.v_full_name))
            raise
def _prm_read_shared_data ( self , shared_node , instance ) : try : data_type = self . _all_get_from_attrs ( shared_node , HDF5StorageService . SHARED_DATA_TYPE ) constructor = shared . FLAG_CLASS_MAPPING [ data_type ] name = shared_node . _v_name result = constructor ( name = name , parent = instance ) return result except : self . _logger . error ( 'Failed loading `%s` of `%s`.' % ( shared_node . _v_name , instance . v_full_name ) ) raise
Reads shared data and constructs the appropraite class.

        :param shared_node:

            hdf5 node storing the pandas DataFrame

        :param full_name:

            Full name of the parameter or result whose data is to be loaded

        :return:

            Data to load
Reads shared data and constructs the appropraite class .