code: def env_problem(env_problem_name, **kwargs):
      """Get and initialize the `EnvProblem` with the given name and batch size.
  
      Args:
        env_problem_name: string name of the registered env problem.
        **kwargs: forwarded to env problem's initialize method.
  
      Returns:
        an initialized EnvProblem with the given batch size.
      """
  
      ep_cls = Registries.env_problems[env_problem_name]
      ep = ep_cls()
      ep.initialize(**kwargs)
      return ep
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from tensor2tensor.utils import misc_utils
  import tensorflow.compat.v1
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 13 for calling a global function with example usage: env_problem(env_problem_name) and returns: ep