code: def validate_regular_sampling(values, rtol=10e-6):
      
      diffs = np.diff(values)
      return (len(diffs) < 1) or abs(diffs.min()-diffs.max()) < abs(diffs.min()*rtol)
docs: Validates regular sampling of a 1D array ensuring that the difference
      in sampling steps is at most rtol times the smallest sampling step.
      Returns a boolean indicating whether the sampling is regular.