@TestDataPath("$PROJECT_ROOT")
    public class Assignment {
      @Test
      public void testAllFilesPresentInAssignment() {
        KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("analysis/analysis-api/testData/components/resolver/singleByPsi/operators/assignment"), Pattern.compile("^(.+)\\.kt$"), null, true);
      }

    @TestDataPath("$PROJECT_ROOT")
    public class Assignment {
      @Test
      public void testAllFilesPresentInAssignment() {
        KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("analysis/analysis-api/testData/components/resolver/singleByPsi/operators/assignment"), Pattern.compile("^(.+)\\.kt$"), null, true);
      }

    @TestDataPath("$PROJECT_ROOT")
    public class Assignment {
      @Test
      public void testAllFilesPresentInAssignment() {
        KtTestUtil.assertAllTestsPresentByMetadataWithExcluded(this.getClass(), new File("analysis/analysis-api/testData/components/resolver/singleByPsi/operators/assignment"), Pattern.compile("^(.+)\\.kt$"), null, true);
      }

    @TestDataPath("$PROJECT_ROOT")
    public class Assignment {
      @Test
      public void testAllFilesPresentInAssignment() {

    @TestDataPath("$PROJECT_ROOT")
    public class Assignment {
      @Test
      public void testAllFilesPresentInAssignment() {

    func.return
  }
  func.func @empty_func() {
    func.return
  }
}

// -----

// Tests `tf_device.cluster_func` with `topology` attribute resulting in device assignment error.

module attributes {tf.versions = {producer = 888 : i32}, tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0"]} {

  // Copy all attributes.
  for (const auto& attr : call_node->attrs()) {
    host_compute_builder.Attr(attr.first, attr.second);
  }

  // Populate tpu_core assignment.
  const auto iter = host_compute_core.find(original_oc_name);
  if (iter != host_compute_core.end()) {
    int core = iter->second;
    host_compute_builder.Attr("tpu_core", core);
  }

      {cond_input, "condition input"},
      {body_input, "body input"},
  }};

  // A pair of type lists should be cast compatible with each other if one is
  // converted to the another for a function call or assignment or there is a
  // common source of inputs for both. Therefore, the While op requires the
  // following pairs of type lists to be cast compatible for the tensor_cast
  // operation:
  //

		inStart = 1
	}

	// Handle arguments.
	for i, v := range in {
		v.mustBeExported()
		targ := toRType(t.In(i))
		// TODO(mknyszek): Figure out if it's possible to get some
		// scratch space for this assignment check. Previously, it
		// was possible to use space in the argument frame.
		v = v.assignTo("reflect.Value.Call", &targ.t, nil)
	stepsLoop:
		for _, st := range abid.call.stepsForValue(i + inStart) {