code: def _tfr_attrs_num_type(x, y, x1, y1):
      # int
      z0 = [x, y]
      z1 = x == y
      z2 = x < y
      z3 = x <= y
      z4 = x > y
      z5 = x >= y
      z6 = x != y
      z7 = x + y
      z8 = x - y
      z8 += x
      z8 += 1
      (
          z0,
          z1,
          z2,
          z3,
          z4,
          z5,
          z6,
          z7,
          z8,
      )  # pylint: disable=pointless-statement
  
      # float
      z9 = x1 > y1
      z10 = x1 + y1
      z11 = [x1, y1]
      (z9, z10, z11)  # pylint: disable=pointless-statement
      return
  
imports: import sys
  from tensorflow.compiler.mlir.python.mlir_wrapper import filecheck_wrapper
  from tensorflow.compiler.mlir.tfr.python import composite
  from tensorflow.compiler.mlir.tfr.python.tfr_gen import tfr_gen_from_module
  from tensorflow.compiler.mlir.tfr.resources import gen_test_ops
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 18 for calling a global function with example usage: _tfr_attrs_num_type(x, y, x1, y1) without return types