area: installation

# releaseNotes is a markdown listing of any user facing changes. This will appear in the
# release notes.
releaseNotes:
  - |

								FailoverPriority: []string{
									"a",
									"b",
								},
							},
						},
					},
				},
			},
			expectedLabels: []byte("a:a b:b "),
		},
		{
			name: "no outlier detection",
			dr: &config.Config{
				Spec: &networking.DestinationRule{
					TrafficPolicy: &networking.TrafficPolicy{
						LoadBalancer: &networking.LoadBalancerSettings{

			execClientConfig: loggingConfig,
			args:             strings.Split("endpoint httpbin-794b576b6c-qx6pf", " "),
			expectedString:   `ENDPOINT     STATUS     OUTLIER CHECK     CLUSTER`,
			wantException:    false,
		},
		{ // supplying valid pod name retrieves Envoy config (fails because we don't check in Envoy config unit tests)
			execClientConfig: loggingConfig,

==============================================================================*/

include "mlir/Pass/PassBase.td"

def OutlineCompositesPass: Pass<"outline-composites", "func::FuncOp"> {
  let summary = "Outlines specific patterns into composites.";
  let description = [{
    Outline specific patterns into composites. Specific patterns can be any
    sub-DAG within a single `Block*`. The signature of the new composite

    SmallVector<Value, 16> yield_operands(call_op.getResults());
    builder.create<YieldOp>(island_op.getLoc(), yield_operands);
  }

  // Outline all the transitively called functions by moving them in the
  // outlined module.
  for (func::FuncOp func : outlined_module.getOps<func::FuncOp>()) {
    func.walk([&](Operation *op) {
      for (NamedAttribute attr : op->getAttrs()) {

     * according to the format outlined above.
     */
    @Override
    public void warn(String msg) {
        super.warn(msg);
        logLevelRecorder.record(Level.WARN);
    }

    /**
     * Perform single parameter substitution before logging the message of level
     * WARN according to the format outlined above.
     */
    @Override

    $('#failed-scenarios').removeClass('btn-outline-danger').addClass('btn-danger')
    $('#all-scenarios').addClass('btn-outline-primary').removeClass('btn-primary')
    refreshCards(['FAILED', 'REGRESSED', 'UNKNOWN'])
}

function allScenarioButtonClicked() {
    $('[data-toggle="popover"]').popover('hide')
    $('#all-scenarios').removeClass('btn-outline-primary').addClass('btn-primary')

    statistics.histogram_statistics.bin_width = 1.0

    hist_freq = np.zeros(501, dtype=np.int32)

    # Advanced calibration methods that use histograms detect outliers, so they
    # don't use the outliers as min/max values.
    hist_freq[0] = 1
    hist_freq[-1] = 1

    # The majority of the data exists around the center.
    hist_freq[250] = 1000
    for i in range(1, 201):

// completes.
//
// The first two differences can easily be handled by straightforward
// adaptation of the concept called "R(t)" in the original paper and
// "virtual time" in the implementation outline. In that
// implementation outline, the notation now() is used to mean reading
// the virtual clock. In the original paper’s terms, "R(t)" is the
// number of "rounds" that have been completed at real time t ---

}

func writeOutFileList(t *testing.T, infiles []string, outdir, tag string) ([]string, string) {
	outfilelist := filepath.Join(outdir, tag+"outfilelist.txt")
	var sb strings.Builder
	cv := filepath.Join(outdir, "covervars.go")
	outfs := []string{cv}
	fmt.Fprintf(&sb, "%s\n", cv)
	for _, inf := range infiles {
		base := filepath.Base(inf)
		of := filepath.Join(outdir, tag+".cov."+base)
		outfs = append(outfs, of)