code: def wsqu_st70_upp(stat, nobs):
      nobsinv = 1.0 / nobs
      stat_modified = (stat - 0.4 * nobsinv + 0.6 * nobsinv**2) * (
          1 + nobsinv
      )
      pval = 0.05 * np.exp(2.79 - 6 * stat_modified)
      digits = np.nan  # some explanation in txt
      # repeat low to get {0,2,3}
      return stat_modified, pval, digits
  
imports: from statsmodels.compat.python import lmap
  import numpy
  from scipy.stats import distributions
  from statsmodels.tools.decorators import cache_readonly
  from scipy.special import kolmogorov
label_desc: Use image node_id 6 for calling a global function with example usage: wsqu_st70_upp(stat, nobs) and returns: stat_modified,  pval,  digits