@MapFeature.Require({SUPPORTS_PUT, SUPPORTS_REMOVE})
  public void testCompute_absentToPresent() {
    assertEquals(
        "Map.compute(absent, functionReturningValue) should return value",
        v3(),
        getMap()
            .compute(
                k3(),
                (k, v) -> {
                  assertEquals(k3(), k);
                  assertNull(v);
                  return v3();

  @MapFeature.Require({SUPPORTS_PUT, SUPPORTS_REMOVE})
  public void testCompute_absentToPresent() {
    assertEquals(
        "Map.compute(absent, functionReturningValue) should return value",
        v3(),
        getMap()
            .compute(
                k3(),
                (k, v) -> {
                  assertEquals(k3(), k);
                  assertNull(v);
                  return v3();

namespace gradients {

// =============== Experimental C++ API for computing gradients ===============

// Sample gradient function:
//
// class AddGradientFunction : public GradientFunction {
//  public:
//   Status Compute(Context* ctx,
//                  absl::Span<AbstractTensorHandle* const> grad_inputs,
//                  absl::Span<AbstractTensorHandle*> grad_outputs) override {
//     grad_outputs[0] = grad_inputs[0];

            print(
                'ERROR: TensorFlow only supports small CUDA compute'
                ' capabilities of sm_30 and higher. Please re-specify the list'
                ' of compute capabilities excluding version %s.' % ver)
            all_valid = False
          if ver < 35:
            print('WARNING: XLA does not support CUDA compute capabilities '

}

includeBuild("../build-logic-settings")

// Shared basics for all
include("basics")

// Platform: defines shared dependency versions
include("build-platform")

// Compute the identity/version we are building and related details (like current git commit)
include("module-identity")

// Code quality rules common to :build-logic and the root build
include("code-quality-rules")

                            b.getOriginalKey() != null && b.getOriginalKey().getQualifier() instanceof String s
                                    ? s
                                    : "";
                    map.compute(name, (n, ob) -> ob == null || comparator.compare(ob, b) < 0 ? b : ob);
                }
                for (var bean : locator.get().locate(toGuiceKey(valueType))) {
                    if (isPlexusBean(bean)) {

func (e *Expression) evalNode(r Record, tableAlias string) (*Value, error) {
	if len(e.And) == 1 {
		// In this case, result is not required to be boolean
		// type.
		return e.And[0].evalNode(r, tableAlias)
	}

	// Compute OR of conditions
	result := false
	for _, ex := range e.And {
		res, err := ex.evalNode(r, tableAlias)
		if err != nil {
			return nil, err
		}
		b, ok := res.ToBool()
		if !ok {
			return nil, errExpectedBool

      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }

  // Compute body nodes.
  std::vector<const Node*> body_nodes;
  status->status = tensorflow::ComputeBodyNodes(
      fn_body, fn_name, num_opers, opers, input_nodes, &body_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Compute body nodes.
  std::vector<const Node*> control_output_nodes;

  @Param({"MURMUR3_32", "MURMUR3_128", "SHA1"})
  HashFunctionEnum hashFunctionEnum;

  private String[] strings;

  static final int SAMPLES = 0x100;
  static final int SAMPLE_MASK = 0xFF;

  /**
   * Compute arrays of valid unicode text, and store it in 3 forms: byte arrays, Strings, and
   * StringBuilders (in a CharSequence[] to make it a little harder for the JVM).
   */
  @BeforeExperiment
  void setUp() {

  @Param({"MURMUR3_32", "MURMUR3_128", "SHA1"})
  HashFunctionEnum hashFunctionEnum;

  private String[] strings;

  static final int SAMPLES = 0x100;
  static final int SAMPLE_MASK = 0xFF;

  /**
   * Compute arrays of valid unicode text, and store it in 3 forms: byte arrays, Strings, and
   * StringBuilders (in a CharSequence[] to make it a little harder for the JVM).
   */
  @BeforeExperiment
  void setUp() {