class_docstr: Squared distance between two time series.
class_docstr_tok: ["Squared","distance","between","two","time","series","."]
docstr: Create a no_python compiled Squared distance callable.
  
  Parameters
  ----------
  x: np.ndarray (1d or 2d array)
      First time series.
  y: np.ndarray (1d or 2d array)
      Second time series.
  kwargs: Any
      Extra kwargs. For squared there are none however, this is kept for
      consistency.
  
  Returns
  -------
  Callable[[np.ndarray, np.ndarray], float]
      No_python compiled Squared distance callable.
docstr_tok: ["Create","a","no_python","compiled","Squared","distance","callable",".","Parameters","--","--","--","--","--","x",":","np.ndarray","(","1d","or","2d","array",")","First","time","series",".","y",":","np.ndarray","(","1d","or","2d","array",")","Second","time","series",".","kwargs",":","Any","Extra","kwargs",".","For","squared","there","are","none","however",",","this","is","kept","for","consistency",".","Returns","--","--","--","-","Callable","[","[","np.ndarray",",","np.ndarray","]",",","float","]","No_python","compiled","Squared","distance","callable","."]
code: def _distance_factory(
      self, x: np.ndarray, y: np.ndarray, **kwargs: Any
  ) -> DistanceCallable:
      """Create a no_python compiled Squared distance callable.
  
      Parameters
      ----------
      x: np.ndarray (1d or 2d array)
          First time series.
      y: np.ndarray (1d or 2d array)
          Second time series.
      kwargs: Any
          Extra kwargs. For squared there are none however, this is kept for
          consistency.
  
      Returns
      -------
      Callable[[np.ndarray, np.ndarray], float]
          No_python compiled Squared distance callable.
      """
      from sktime.distances._squared_numba import (
          _numba_squared_distance,
      )
  
      return _numba_squared_distance
  
imports: from typing import Any
  import numpy
  from sktime.distances.base import DistanceCallable, NumbaDistance
label_desc: Use image node_id 1 for calling the _SquaredDistance obj's underlying member method code with example usage: obj._distance_factory(x, y) and returns: _numba_squared_distance