class_docstr: Pairwise panel transformer that always returns a constant value.
  
  Parameters
  ----------
  constant : float, optional, default = 0
      the constant value that this transformer returns
docstr: Return testing parameter settings for the estimator.
  
  Parameters
  ----------
  parameter_set : str, default="default"
      Name of the set of test parameters to return, for use in tests. If no
      special parameters are defined for a value, will return `"default"` set.
  
  Returns
  -------
  params : dict or list of dict, default={}
      Parameters to create testing instances of the class.
      Each dict are parameters to construct an "interesting" test instance, i.e.,
      `MyClass(**params)` or `MyClass(**params[i])` creates a valid test instance.
      `create_test_instance` uses the first (or only) dictionary in `params`.
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code: def get_test_params(cls, parameter_set="default"):
      """Return testing parameter settings for the estimator.
  
      Parameters
      ----------
      parameter_set : str, default="default"
          Name of the set of test parameters to return, for use in tests. If no
          special parameters are defined for a value, will return `"default"` set.
  
      Returns
      -------
      params : dict or list of dict, default={}
          Parameters to create testing instances of the class.
          Each dict are parameters to construct an "interesting" test instance, i.e.,
          `MyClass(**params)` or `MyClass(**params[i])` creates a valid test instance.
          `create_test_instance` uses the first (or only) dictionary in `params`.
      """
      params1 = {}
      params2 = {"constant": 42}
  
      return [params1, params2]
  
imports: import numpy
  from sktime.dists_kernels.base import BasePairwiseTransformerPanel
label_desc: Use image node_id 3 for calling the ConstantPwTrafoPanel obj's underlying member method code with example usage: obj.get_test_params(cls, parameter_set) and returns: list