def __init__()

in bayesmark/space.py [0:0]

• 13 lines of code
• 5 McCabe index (conditional complexity)

    def __init__(self, meta):
        """Build Real space class.

        Parameters
        ----------
        meta : dict(str, dict)
            Configuration of variables in joint space. See API description.
        """
        assert len(meta) > 0  # Unclear what to do with empty space

        # Lock in an order if not ordered dict, sorted helps reproducibility
        self.param_list = sorted(meta.keys())

        # Might as well pre-validate a bit here
        for param, config in meta.items():
            assert config["type"] in SPACE_DICT, "invalid input type %s" % config["type"]

        spaces = {
            param: SPACE_DICT[config["type"]](
                config.get("space", None), config.get("values", None), config.get("range", None)
            )
            for param, config in meta.items()
        }
        self.spaces = spaces

        self.blocks = np.cumsum([len(spaces[param].get_bounds()) for param in self.param_list])