code: def fit(self, X, y=None):
          '''
          Fit the transform. Does nothing, for compatibility with sklearn API.
  
          Parameters
          ----------
          X : array-like, shape [n_series, ...]
              Time series data and (optionally) contextual data
          y : None
              There is no need of a target in a transformer, yet the pipeline API requires this
              parameter.
  
          Returns
          -------
          self : object
              Returns self.
          '''
          self._check_data(X)
          if not X[0].ndim >= 2:
              raise ValueError("X input must be 2 dim array or greater")
          return self fit(self, X, y=None):
          '''
          Fit the transform. Does nothing, for compatibility with sklearn API.
  
          Parameters
          ----------
          X : array-like, shape [n_series, ...]
              Time series data and (optionally) contextual data
          y : None
              There is no need of a target in a transformer, yet the pipeline API requires this
              parameter.
  
          Returns
          -------
          self : object
              Returns self.
          '''
          self._check_data(X)
          if not X[0].ndim >= 2:
              raise ValueError("X input must be 2 dim array or greater")
          return self
docs: Fit the transform. Does nothing, for compatibility with sklearn API.
  
          Parameters
          ----------
          X : array-like, shape [n_series, ...]
              Time series data and (optionally) contextual data
          y : None
              There is no need of a target in a transformer, yet the pipeline API requires this
              parameter.
  
          Returns
          -------
          self : object
              Returns self.