copy(gif, testGIF)
	// Make the bounds too big, just by one.
	gif[32] = 2
	want := "gif: frame bounds larger than image bounds"
	try(t, gif, want)

	// Make the bounds too small; does not trigger bounds
	// check, but now there's too much data.
	gif[32] = 0
	want = "gif: too much image data"
	try(t, gif, want)
	gif[32] = 1

	// Make the bounds really big, expect an error.

   * Returns {@code ? extends X} if any of {@code bounds} is a subtype of {@code X[]}; or null
   * otherwise.
   */
  @CheckForNull
  private static Type subtypeOfComponentType(Type[] bounds) {
    for (Type bound : bounds) {
      Type componentType = getComponentType(bound);
      if (componentType != null) {
        // Only the first bound can be a class or array.
        // Bounds after the first can only be interfaces.

	// Avoid round tripping the ClusterConfiguration embedded in the InitConfiguration, since it is
	// only present in the internal version and not in public versions
	obj.ClusterConfiguration = kubeadm.ClusterConfiguration{}

	// Adds the default bootstrap token to get the round trip working
	obj.BootstrapTokens = []bootstraptokenv1.BootstrapToken{
		{

	// that call returning and now the stack may have changed (perhaps the
	// C thread is running a coroutine library). We need to update the
	// stack bounds for this case.
	//
	// N.B. we need to update the stack bounds even if SP appears to
	// already be in bounds. Our "bounds" may actually be estimated dummy
	// bounds (below). The actual stack bounds could have shifted but still

		tname := types.NewTypeName(pos, pkg, name, nil)
		r.dict.tparams[i] = types.NewTypeParam(tname, nil)
	}

	typs := make([]types.Type, len(r.dict.bounds))
	for i, bound := range r.dict.bounds {
		typs[i] = r.p.typIdx(bound, r.dict)
	}

	// TODO(mdempsky): This is subtle, elaborate further.
	//
	// We have to save tparams outside of the closure, because

docs:
- 'https://istio.io/latest/docs/setup/additional-setup/sidecar-injection/#customizing-injection'
releaseNotes:
- |

Jonh Wendell <******@****.***> 1715709579 -0400

      os << "\n";
    }
  }
}

// For exported functions with bound inputs, rewrite the function
// signature to match the requirements of tf_saved_model bound input args.
//
// The raw imported functions have `tensor<*x!tf_type.resource>` as the type for
// mutable bound inputs and `tensor<...>` as the type for immutable
// bound inputs. Here we canonicalize both of them into
// `tensor<!tf_type.resource<tensor<...>>>`.

namespace mlir {
namespace TF {

// Returns whether type can be further refined.
bool CanBeRefined(Type type);

// Returns a new arg type based on the shape and element type. If there are
// dynamic bounds attribute to the arg, update the bounds based on the shape
// as well.
Type GetNewArgType(Type old_arg_type, ArrayRef<int64_t> shape,
                   Type element_type, mlir::MLIRContext* context);

	panicCheck1(getcallerpc(), "slice bounds out of range")
	panic(boundsError{x: int64(x), signed: true, y: y, code: boundsSlice3Alen})
}
func goPanicSlice3AlenU(x uint, y int) {
	panicCheck1(getcallerpc(), "slice bounds out of range")
	panic(boundsError{x: int64(x), signed: false, y: y, code: boundsSlice3Alen})
}
func goPanicSlice3Acap(x int, y int) {
	panicCheck1(getcallerpc(), "slice bounds out of range")