class_docstr: Parameters of a single scene.
class_docstr_tok: ["Parameters","of","a","single","scene","."]
docstr: Create the `kb.Scene` associated with the config.
docstr_tok: ["Create","the","`","kb.Scene","`","associated","with","the","config","."]
code: def as_scene(self, **kwargs: Any) -> kb.Scene:
      """Create the `kb.Scene` associated with the config."""
      # Would likely be best to have a `scene = kb.Scene.from_config(config)`
      # instead
  
      return kb.Scene(
          frame_start=self.frame_start,
          frame_end=self.frame_end,
          frame_rate=self.frame_rate,
          step_rate=self.step_rate,
          resolution=self.resolution,
          **kwargs,
      )
  
imports: from __future__ import annotations
  import abc
  import collections
  import dataclasses
  import itertools
  import tempfile
  from typing import Any, Dict, Iterator, List, Optional, TypeVar, Union
  import apache_beam
  from etils import edc
  from etils import epath
  import kubric
  import tensorflow_datasets
label_desc: Use image node_id 2 for calling the SceneConfig obj's underlying member method code with example usage: obj.as_scene() and returns: kb