code: def test_capture():
      n = 8
  
      constant_tuple = (10, n)
      constant_list = [[1, 2], [3, n]]
      const_value = 1
  
      @te.hybrid.script
      def add_something(a):
          c = output_tensor((constant_tuple[1],), "int32")
          for i in range(constant_tuple[1]):
              c[i] = a[i] + constant_list[1][const_value]
          return c
  
      a = te.placeholder((n,), dtype="int32", name="a")
  
      func, ins, outs = run_and_check(add_something, [a])
      run_and_check(func, ins, outs=outs)
  
imports: import tvm, inspect, sys, traceback, numpy, pytest, types, os
  from tvm import te
  from tvm.contrib import utils
  from tvm.te.hybrid import script
  from tvm.te.hybrid.runtime import HYBRID_GLOBALS
  import tvm.testing
label_desc: Use image node_id 19 for calling a global function with example usage: test_capture() and returns: c