pypet/parameter.py
def _store(self):
        """Returns a dictionary for storage.

        Every element in the dictionary except for 'explored_data' is a pickle dump.

        Reusage of objects is identified over the object id, i.e. python's built-in id function.

        'explored_data' contains the references to the objects to be able to recall the
        order of objects later on.

        """
        store_dict = {}

        if self._data is not None:
            dump = pickle.dumps(self._data, protocol=self.v_protocol)
            store_dict['data'] = dump
            store_dict[PickleParameter.PROTOCOL] = self.v_protocol

        if self.f_has_range():

            store_dict['explored_data'] = \
                ObjectTable(columns=['idx'], index=list(range(len(self))))

            smart_dict = {}
            count = 0

            for idx, val in enumerate(self._explored_range):

                obj_id = id(val)

                if obj_id in smart_dict:
                    name_id = smart_dict[obj_id]
                    add = False
                else:
                    name_id = count
                    add = True

                name = self._build_name(name_id)
                store_dict['explored_data']['idx'][idx] = name_id

                if add:
                    store_dict[name] = pickle.dumps(val, protocol=self.v_protocol)
                    smart_dict[obj_id] = name_id
                    count += 1

        self._locked = True

        return store_dict
def _store(self):
        store_dict = {}

        if self._data is not None:
            dump = pickle.dumps(self._data, protocol=self.v_protocol)
            store_dict['data'] = dump
            store_dict[PickleParameter.PROTOCOL] = self.v_protocol

        if self.f_has_range():

            store_dict['explored_data'] = \
                ObjectTable(columns=['idx'], index=list(range(len(self))))

            smart_dict = {}
            count = 0

            for idx, val in enumerate(self._explored_range):

                obj_id = id(val)

                if obj_id in smart_dict:
                    name_id = smart_dict[obj_id]
                    add = False
                else:
                    name_id = count
                    add = True

                name = self._build_name(name_id)
                store_dict['explored_data']['idx'][idx] = name_id

                if add:
                    store_dict[name] = pickle.dumps(val, protocol=self.v_protocol)
                    smart_dict[obj_id] = name_id
                    count += 1

        self._locked = True

        return store_dict
def _store ( self ) : store_dict = { } if self . _data is not None : dump = pickle . dumps ( self . _data , protocol = self . v_protocol ) store_dict [ 'data' ] = dump store_dict [ PickleParameter . PROTOCOL ] = self . v_protocol if self . f_has_range ( ) : store_dict [ 'explored_data' ] = ObjectTable ( columns = [ 'idx' ] , index = list ( range ( len ( self ) ) ) ) smart_dict = { } count = 0 for idx , val in enumerate ( self . _explored_range ) : obj_id = id ( val ) if obj_id in smart_dict : name_id = smart_dict [ obj_id ] add = False else : name_id = count add = True name = self . _build_name ( name_id ) store_dict [ 'explored_data' ] [ 'idx' ] [ idx ] = name_id if add : store_dict [ name ] = pickle . dumps ( val , protocol = self . v_protocol ) smart_dict [ obj_id ] = name_id count += 1 self . _locked = True return store_dict
Returns a dictionary for storage.

        Every element in the dictionary except for 'explored_data' is a pickle dump.

        Reusage of objects is identified over the object id, i.e. python's built-in id function.

        'explored_data' contains the references to the objects to be able to recall the
        order of objects later on.
Returns a dictionary for storage .