class_docstr: A convenience class to access cached time series datasets.
  
  Note, that these *cached datasets* are statically included into *tslearn*
  and are distinct from the ones in :class:`UCR_UEA_datasets`.
  
  When using the Trace dataset, please cite [1]_.
  
  See Also
  --------
  UCR_UEA_datasets : Provides more datasets and supports caching.
  
  References
  ----------
  .. [1] A. Bagnall, J. Lines, W. Vickers and E. Keogh, The UEA & UCR Time
     Series Classification Repository, www.timeseriesclassification.com
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code: def __init__(self):
      self.path = os.path.join(
          os.path.dirname(__file__), "..", ".cached_datasets"
      )
  
imports: import numpy
  import os
label_desc: Use image node_id 1 to create a new CachedDatasets object  with example: obj = CachedDatasets()