@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() {

// the symbols, "syms" holds the list of symbols to assign,
// "forceType" (if non-zero) contains a new sym type to apply to each
// sym during the assignment, and "aligner" is a hook to call to
// handle alignment during the assignment process.
func (state *dodataState) assignDsymsToSection(sect *sym.Section, syms []loader.Sym, forceType sym.SymKind, aligner func(state *dodataState, datsize int64, s loader.Sym) int64) {

    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"]} {

	return 0, nil
}
func (w *WC) Close() error {
	return nil
}

func TestMakeFuncValidReturnAssignments(t *testing.T) {
	// reflect.Values returned from the wrapped function should be assignment-converted
	// to the types returned by the result of MakeFunc.

	// Concrete types should be promotable to interfaces they implement.
	var f func() error
	f = MakeFunc(TypeOf(f), func([]Value) []Value {

  // 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:
  //