code: def test_explicit_partition_hint():
      A = te.placeholder((16,), name="A")
      B = te.placeholder((16,), name="B")
      C = te.compute(
          (32,), lambda i: te.if_then_else(i < 16, A[i], B[i]), name="C"
      )
      s = te.create_schedule(C.op)
      s.normalize()
      s[C].pragma(s[C].op.axis[0], "loop_partition_hint", True)
      mod = tvm.driver.build_module.schedule_to_module(
          s, [A, B, C], "main", None
      )
      with tvm.transform.PassContext(
          config={"tir.LoopPartition": {"partition_const_loop": True}}
      ):
          mod = tvm.tir.transform.StorageFlatten(64)(mod)
          mod = tvm.tir.transform.LoopPartition()(mod)
          mod = tvm.tir.transform.Simplify()(mod)
      assert tvm.ir.structural_equal(mod["main"], partitioned_concat)
  
imports: import pytest
  import tvm
  import tvm.testing
  from tvm import te
  from tvm.ir.module import IRModule
  from tvm.script import tir
  import numpy
label_desc: Use image node_id 24 for calling a global function with example usage: test_explicit_partition_hint() without return types