code: def _calc_uniform_order_statistic_medians(n):
      """Approximations of uniform order statistic medians.
  
      Parameters
      ----------
      n : int
          Sample size.
  
      Returns
      -------
      v : 1d float array
          Approximations of the order statistic medians.
  
      References
      ----------
      .. [1] James J. Filliben, "The Probability Plot Correlation Coefficient
             Test for Normality", Technometrics, Vol. 17, pp. 111-117, 1975.
      """
      v = np.empty(n, dtype=np.float64)
      v[-1] = 0.5 ** (1.0 / n)
      v[0] = 1 - v[-1]
      i = np.arange(2, n)
      v[1:-1] = (i - 0.3175) / (n + 0.365)
      return v
  
imports: import numpy
  from sktime.transformations.base import BaseTransformer
  from sktime.utils.validation import is_int
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 1 for calling a global function with example usage: _calc_uniform_order_statistic_medians(n) and returns: v