}
	return res
}

// AddScalar adds a resource by a scalar value of this resource.
func (r *Resource) AddScalar(name v1.ResourceName, quantity int64) {
	r.SetScalar(name, r.ScalarResources[name]+quantity)
}

// SetScalar sets a resource by a scalar value of this resource.
func (r *Resource) SetScalar(name v1.ResourceName, quantity int64) {
	// Lazily allocate scalar resource map.
	if r.ScalarResources == nil {

	}
	numSamples := 0
	switch v := value.(type) {
	case model.Vector:
		numSamples = v.Len()
	case model.Matrix:
		numSamples = v.Len()
	case *model.Scalar:
		numSamples = 1
	default:
		return fmt.Errorf("unknown metric value type: %T", v)
	}
	if includeQuery(query, excluded) {
		if numSamples == 0 {

  }
  return RankedTensorType::get(dims, a.getElementType());
}
}  // namespace detail

// Verifies that op has the same operand and result element types (or type
// itself, if scalar) after resolving reference types (i.e., after converting
// reference types to their corresponding TensorFlow or standard types).
template <typename ConcreteType>
class SameOperandsAndResultElementTypeResolveRef

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  - login: scalar
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             << "group_size must be a compile time constant";
    }
    if (!group_size_attr.isSplat() || group_size_attr.size() != 1) {
      return all_reduce.emitOpError() << "group_size must be a scalar";
    }
    const auto group_size = group_size_attr.getSplatValue<IntegerAttr>();

    // Create a full group assignment. Empty group assignment errors when
    // final_op = "Div"

		{"+ADw-script+AD4-alert(1)+ADw-/script+AD4-",
			`\u002bADw-script\u002bAD4-alert(1)\u002bADw-\/script\u002bAD4-`,
		},
		// Invalid UTF-8 sequence
		{"foo\xA0bar", "foo\xA0bar"},
		// Invalid unicode scalar value.
		{"foo\xed\xa0\x80bar", "foo\xed\xa0\x80bar"},
	}

	for _, test := range tests {
		esc := jsStrEscaper(test.x)
		if esc != test.esc {
			t.Errorf("%q: want %q got %q", test.x, test.esc, esc)
		}

  params_->body_outputs[1] = inner_outputs[1];

  // Finalize outer graph
  ExpectOK();

  // Check for a few expected nodes
  const char* node_name = "test_loop/cond/scalar";
  EXPECT_TRUE(TF_GraphOperationByName(graph_, node_name) != nullptr);
  node_name = "test_loop/body/add";
  EXPECT_TRUE(TF_GraphOperationByName(graph_, node_name) != nullptr);

	return t.IsInterface() && len(t.AllMethods()) == 0
}

// IsScalar reports whether 't' is a scalar Go type, e.g.
// bool/int/float/complex. Note that struct and array types consisting
// of a single scalar element are not considered scalar, likewise
// pointer types are also not considered scalar.
func (t *Type) IsScalar() bool {
	switch t.kind {
	case TBOOL, TINT8, TUINT8, TINT16, TUINT16, TINT32,

include "tensorflow/compiler/mlir/tensorflow/transforms/rewrite_util.td"

def NonScalarRankedType : Type<And<[Neg<HasAnyRankOfPred<[0]>>, HasRankPred]>,
                         "Non scalar type">;

def HasSingleElement: Constraint<CPred<"($0.size() == 1)">>;

def EmptyList: NativeCodeCall<"llvm::SmallVector<mlir::Value>{}">;

// Creates a tf.ReadVariable op that reads a resource `$2` that has the same

  let description = [{
    This op loads a restored variable tensor as a tensor future. It is a
    replacement of `tf.ReadVariableOp`.

    This op returns a scalar string tensor containing the restored variable name, which can be
    used as a key within the runtime, as well as a future for the tensor.

    The `tf.IfrtCall` kernel uses the output $array_key.