class_docstr: Dummy Policy.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
class_docstr_tok: ["Dummy","Policy",".","Args",":","env_spec","(","garage.envs.env_spec.EnvSpec",")",":","Environment","specification","."]
docstr: Get single action from this policy for the input observation.
  
  Args:
      observation (numpy.ndarray): Observation from environment.
  
  Returns:
      numpy.ndarray: Predicted action.
      dict: Distribution parameters.
docstr_tok: ["Get","single","action","from","this","policy","for","the","input","observation",".","Args",":","observation","(","numpy.ndarray",")",":","Observation","from","environment",".","Returns",":","numpy.ndarray",":","Predicted","action",".","dict",":","Distribution","parameters","."]
code: def get_action(self, observation):
      """Get single action from this policy for the input observation.
  
      Args:
          observation (numpy.ndarray): Observation from environment.
  
      Returns:
          numpy.ndarray: Predicted action.
          dict: Distribution parameters.
  
      """
      return self.action_space.sample(), dict(dummy="dummy", mean=0.0)
  
file_path: garage/tests/fixtures/policies/dummy_policy.py
imports: import numpy
  from garage.np.policies import Policy
label_desc: Use image node_id 2 for calling the DummyPolicy obj's underlying member method code with example usage: obj.get_action(observation) and returns: self,  dict