code: def format_float(x, parens=False):
      if not np.issubdtype(type(x), np.floating):
          return str(x)
  
      opts = np.get_printoptions()
  
      if np.isnan(x):
          return opts["nanstr"]
      elif np.isinf(x):
          return opts["infstr"]
  
      exp_format = False
      if x != 0:
          a = absolute(x)
          if a >= 1.0e8 or a < 10 ** min(
              0, -(opts["precision"] - 1) // 2
          ):
              exp_format = True
  
      trim, unique = "0", True
      if opts["floatmode"] == "fixed":
          trim, unique = "k", False
  
      if exp_format:
          s = dragon4_scientific(
              x,
              precision=opts["precision"],
              unique=unique,
              trim=trim,
              sign=opts["sign"] == "+",
          )
          if parens:
              s = "(" + s + ")"
      else:
          s = dragon4_positional(
              x,
              precision=opts["precision"],
              fractional=True,
              unique=unique,
              trim=trim,
              sign=opts["sign"] == "+",
          )
      return s
  
imports: import operator
  import functools
  import warnings
  import numpy
  from numpy.core.multiarray import dragon4_positional, dragon4_scientific
  from numpy.core.umath import absolute
label_desc: Use image node_id 19 for calling a global function with example usage: format_float(x, parens) and returns: s, str, opts, opts