testing.parameter_combinations([{
          'same_scale_op': (
              'concatenate',
              'gather',
              'max_pool',
              'pad',
              'reshape',
              'select',
              'slice',
              'transpose',
          ),
      }])
  )
  @test_util.run_in_graph_and_eager_modes
  def test_matmul_and_same_scale_ptq_model(
      self,

			"file:", "func:t", "type switch:", "case:x", // x implicitly declared
		}},
		{`package p14; func _() { select{} }`, []string{
			"file:", "func:",
		}},
		{`package p15; func _(c chan int) { select{ case <-c: } }`, []string{
			"file:", "func:c", "comm:",
		}},
		{`package p16; func _(c chan int) { select{ case i := <-c: x := i; _ = x} }`, []string{
			"file:", "func:c", "comm:i x",
		}},

			return nil
		},
	}
	runClientTestTLS12(t, test)
	runClientTestTLS13(t, test)
}

func TestServerSelectingUnconfiguredApplicationProtocol(t *testing.T) {
	// This checks that the server can't select an application protocol that the
	// client didn't offer.

	c, s := localPipe(t)
	errChan := make(chan error, 1)

	go func() {
		client := Client(c, &Config{
			ServerName:   "foo",

	if cfg.BuildCoverPkg != nil {
		match := make([]func(*load.Package) bool, len(cfg.BuildCoverPkg))
		for i := range cfg.BuildCoverPkg {
			match[i] = load.MatchPackage(cfg.BuildCoverPkg[i], base.Cwd())
		}

		// Select for coverage all dependencies matching the -coverpkg
		// patterns.
		plist := load.TestPackageList(ctx, pkgOpts, pkgs)
		testCoverPkgs = load.SelectCoverPackages(plist, match, "test")

		return len(store.List()) == n, nil
	})
}

func verifyEventEmitted(t *testing.T, dc *disruptionController, expectedEvent string) {
	ticker := time.NewTicker(500 * time.Millisecond)
	for {
		select {
		case e := <-dc.recorder.(*record.FakeRecorder).Events:
			if strings.Contains(e, expectedEvent) {
				return
			}
		case <-ticker.C:

# Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
build:cuda_clang --config=tensorrt
build:cuda_clang --action_env=TF_CUDA_CLANG="1"
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

			}
		}, 5*time.Second, wait.NeverStop)
	}

	if s.RunOnce {
		return nil
	}

	// If systemd is used, notify it that we have started
	go daemon.SdNotify(false, "READY=1")

	select {
	case <-done:
		break
	case <-ctx.Done():
		break
	}

	return nil
}

// buildKubeletClientConfig constructs the appropriate client config for the kubelet depending on whether

	// interval in queue so HPAs are processed every resync interval.
	a.queue.AddRateLimited(key)

	// Register HPA in the hpaSelectors map if it's not present yet. Attaching the Nothing selector
	// that does not select objects. The actual selector is going to be updated
	// when it's available during the autoscaler reconciliation.
	a.hpaSelectorsMux.Lock()
	defer a.hpaSelectorsMux.Unlock()

			return true, nil
		}
		return false, nil
	}); err != nil {
		// given the function above never returns error,
		// the non-empty error means that the stopCh was closed
		return
	}
	for {
		select {
		case event, ok := <-c.incoming:
			if !ok {
				return
			}
			// Don't dispatch bookmarks coming from the storage layer.
			// They can be very frequent (even to the level of subseconds)

			configs12,
			services12,
			virtualServices1,
			[]*Service{
				{
					Hostname: "foo.svc.cluster.local",
					// Ports should not be merged even though virtual service will select the service with 7443
					// as ns1 comes before ns2, because 8000 was already picked explicitly and is in different namespace
					Ports: port8000,
				},
				{
					Hostname: "baz.svc.cluster.local",