def dict_to_numpy()

in lib/actions.py [0:0]

• 15 lines of code
• 4 McCabe index (conditional complexity)

    def dict_to_numpy(self, acs):
        """
        Env format to policy output format.
        """
        act = {
            "buttons": np.stack([acs.get(k, 0) for k in Buttons.ALL], axis=-1),
            "camera": self.discretize_camera(acs["camera"]),
        }
        if not self.human_spaces:
            act.update(
                {
                    "synthetic_buttons": np.stack([acs[k] for k in SyntheticButtons.ALL], axis=-1),
                    "place": self.item_embed_name_to_id(acs["place"]),
                    "equip": self.item_embed_name_to_id(acs["equip"]),
                    "craft": self.item_embed_name_to_id(acs["craft"]),
                }
            )
        return act