class_docstr: Computes the optimum `k_choices` of trajectories from the input_sample.
  
  Parameters
  ----------
  strategy : :class:`Strategy`
code: def __init__(self, strategy):
      self._strategy = strategy
  
file_path: SALib/src/SALib/sample/morris/strategy.py
imports: import abc
  import numpy
  from scipy.spatial.distance import cdist
label_desc: Use image node_id 1 to create a new SampleMorris object from inherited base classes: object with example: obj = SampleMorris(strategy)