code: def forg(x, prec=3):
      x = np.squeeze(x)
      if prec == 3:
          # for 3 decimals
          if (abs(x) >= 1e4) or (abs(x) < 1e-4):
              return "%9.3g" % x
          else:
              return "%9.3f" % x
      elif prec == 4:
          if (abs(x) >= 1e4) or (abs(x) < 1e-4):
              return "%10.4g" % x
          else:
              return "%10.4f" % x
      else:
          raise ValueError(
              "`prec` argument must be either 3 or 4, not {prec}".format(
                  prec=prec
              )
          )
  
imports: from statsmodels.compat.python import lmap, lrange, lzip
  import copy
  from itertools import zip_longest
  import time
  import numpy
  from statsmodels.iolib.table import SimpleTable
  from statsmodels.iolib.tableformatting import fmt_2, fmt_2cols, fmt_params, gen_fmt
  from .summary2 import _model_types
label_desc: Use image node_id 1 for calling a global function with example usage: forg(x, prec) and returns: unknown, unknown, unknown, unknown