def __getstate__(self):
        """
        In order to avoid pickling a copy of the dataset whenever a
        monitor is saved, the __getstate__ method replaces the dataset
        field with the dataset's yaml source. This is not a perfect
        solution because it won't work with job resuming, which would
        require saving the state of the dataset's random number
        generator.

        Like in the Model class, we also need to avoid saving any
        Theano functions, so we delete everything that can be
        regenerated with `redo_theano` by deleting the fields in
        `self.names_to_del`
        """

        # Patch old pickled monitors
        if not hasattr(self, '_datasets'):
            self._datasets = [self._dataset]
            del self._dataset

        temp = self._datasets

        if self._datasets:
            self._datasets = []
            for dataset in temp:
                if isinstance(dataset, six.string_types):
                    self._datasets.append(dataset)
                else:
                    try:
                        self._datasets.append(dataset.yaml_src)
                    except AttributeError:
                        warnings.warn('Trained model saved without ' +
                                      'indicating yaml_src')
        d = copy.copy(self.__dict__)
        self._datasets = temp
        for name in self.names_to_del:
            if name in d:
                del d[name]

        return d
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/monitor.py/Monitor.__getstate__/original