4ed172063fc1ec493c91b327e4761192dbb227dd,pyemma/_base/serialization/jsonpickler_handlers.py,NumpyNPZHandler,flatten,#NumpyNPZHandler#Any#Any#,50

Before Change

        super(NumpyNPZHandler, self).__init__(context=context)

    def flatten(self, obj, data):
        assert isinstance(obj, np.ndarray)
        buff = BytesIO()
        np.savez_compressed(buff, x=obj)
        buff.seek(0)
        flattened_bytes = util.b64encode(buff.read())

After Change

    def flatten(self, obj, data):
        if obj.dtype == np.object_:
            raise NotImplementedError()
            res = [self.context.flatten(x) for x in obj]

            //raise Exception(str(obj))
            // TODO: how to deal with obj dtype? eg. return list
            //data.clear()

Instances