code: def _compute_dminus(cdfvals, n):
      """Computes D- as used in the Kolmogorov-Smirnov test.
  
      Parameters
      ----------
      cdfvals: array_like
        Sorted array of CDF values between 0 and 1
  
      Returns
      -------
        Maximum distance of the CDF values above Uniform(0, 1)
      """
      return (cdfvals - mt.arange(0.0, n) / n).max()
  
file_path: mars/mars/tensor/stats/ks.py
imports: import math
  import warnings
  from math import gcd
  from collections import namedtuple
  from typing import Callable, Tuple, Union
  import numpy
  from scipy import special
  from scipy.stats import distributions
  from ...None import tensor
  from ...core import ExecutableTuple
  from ...typing import TileableType
label_desc: Use image node_id 7 for calling a global function with example usage: _compute_dminus(cdfvals, n) and returns: unknown