pypet/parameter.py
def _store(self):
        """Returns a dictionary of formatted data understood by the storage service.

        The data is put into an :class:`~pypet.parameter.ObjectTable` named 'data'.
        If the parameter is explored, the exploration range is also put into another table
        named 'explored_data'.

        :return: Dictionary containing the data and optionally the exploration range.

        """
        if self._data is not None:
            store_dict = {'data': ObjectTable(data={'data': [self._data]})}

        if self.f_has_range():
            store_dict['explored_data'] = ObjectTable(data={'data': self._explored_range})

        self._locked = True

        return store_dict
def _store(self):
        if self._data is not None:
            store_dict = {'data': ObjectTable(data={'data': [self._data]})}

        if self.f_has_range():
            store_dict['explored_data'] = ObjectTable(data={'data': self._explored_range})

        self._locked = True

        return store_dict
def _store ( self ) : if self . _data is not None : store_dict = { 'data' : ObjectTable ( data = { 'data' : [ self . _data ] } ) } if self . f_has_range ( ) : store_dict [ 'explored_data' ] = ObjectTable ( data = { 'data' : self . _explored_range } ) self . _locked = True return store_dict
Returns a dictionary of formatted data understood by the storage service.

        The data is put into an :class:`~pypet.parameter.ObjectTable` named 'data'.
        If the parameter is explored, the exploration range is also put into another table
        named 'explored_data'.

        :return: Dictionary containing the data and optionally the exploration range.
Returns a dictionary of formatted data understood by the storage service .