code: def bin(args):
      
      p = OptionParser(bin.__doc__)
      p.add_option("--dtype", choices=("float32", "int32"),
                   help="dtype of the matrix")
      opts, args = p.parse_args(args)
  
      if len(args) != 1:
          sys.exit(not p.print_help())
  
      tsvfile, = args
      dtype = opts.dtype
      if dtype is None:  # Guess
          dtype = np.int32 if "data" in tsvfile else np.float32
      else:
          dtype = np.int32 if dtype == "int32" else np.float32
  
      print("dtype: {}".format(dtype), file=sys.stderr)
      fp = open(tsvfile)
      next(fp)
      arrays = []
      for i, row in enumerate(fp):
          a = np.fromstring(row, sep="\t", dtype=dtype)
          a = a[1:]
          arrays.append(a)
          print(i, a, file=sys.stderr)
  
      print("Merging", file=sys.stderr)
      b = np.concatenate(arrays)
      print("Binary shape: {}".format(b.shape), file=sys.stderr)
      binfile = tsvfile.rsplit(".", 1)[0] + ".bin"
      b.tofile(binfile)
docs: %prog bin data.tsv
  
      Conver tsv to binary format.