class_docstr: Truncate unequal length panels to lower/upper bounds.
  
  Truncates all series in panel between lower/upper range bounds.
  
  Parameters
  ----------
  lower : int, optional (default=None) bottom range of the values to
              truncate can also be used to truncate to a specific length
              if None, will find the shortest sequence and use instead.
  upper : int, optional (default=None) upper range, only required when
              paired with lower.
              This is used to calculate the range between. exclusive.
              if None, will truncate from 0 to the lower bound.
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`
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`
      """
      params = {"lower": 5}
      return params
  
file_path: sktime/sktime/transformations/panel/truncation.py
imports: import numpy
  import pandas
  from sktime.transformations.base import BaseTransformer
label_desc: Use image node_id 5 for calling the TruncationTransformer obj's underlying member method code with example usage: obj.get_test_params(cls, parameter_set) and returns: params