code: def bytes2human(
      n, format="%(value).1f %(symbol)s", symbols="customary"
  ):
      """
      Convert n bytes into a human readable string based on format.
      symbols can be either "customary", "customary_ext", "iec" or "iec_ext",
      see: http://goo.gl/kTQMs
  
        >>> bytes2human(0)
        '0.0 B'
        >>> bytes2human(0.9)
        '0.0 B'
        >>> bytes2human(1)
        '1.0 B'
        >>> bytes2human(1.9)
        '1.0 B'
        >>> bytes2human(1024)
        '1.0 K'
        >>> bytes2human(1048576)
        '1.0 M'
        >>> bytes2human(1099511627776127398123789121)
        '909.5 Y'
  
        >>> bytes2human(9856, symbols="customary")
        '9.6 K'
        >>> bytes2human(9856, symbols="customary_ext")
        '9.6 kilo'
        >>> bytes2human(9856, symbols="iec")
        '9.6 Ki'
        >>> bytes2human(9856, symbols="iec_ext")
        '9.6 kibi'
  
        >>> bytes2human(10000, "%(value).1f %(symbol)s/sec")
        '9.8 K/sec'
  
        >>> # precision can be adjusted by playing with %f operator
        >>> bytes2human(10000, format="%(value).5f %(symbol)s")
        '9.76562 K'
      """
      n = int(n)
      if n < 0:
          raise ValueError("n < 0")
      symbols = SYMBOLS[symbols]
      prefix = {}
      for i, s in enumerate(symbols[1:]):
          prefix[s] = 1 << (i + 1) * 10
      for symbol in reversed(symbols[1:]):
          if n >= prefix[symbol]:
              value = float(n) / prefix[symbol]
              return format % locals()
      return format % dict(symbol=symbols[0], value=n)
  
imports: import sys
  from tabulate import tabulate
label_desc: Use image node_id 1 for calling a global function with example usage: bytes2human(n, format, symbols) and returns: unknown, unknown