"istio.io/istio/pkg/util/sets"
)

var knownOptimizationGaps = sets.New(
	"BlackHoleCluster",
	"InboundPassthroughCluster",
	"PassthroughCluster",
)

// compareDiff compares a Delta and SotW XDS response. This allows checking that the Delta XDS
// response returned the optimal result. Checks include correctness checks (e.g. if a config changed,
// we must include it) and possible optimizations (e.g. we sent a config, but it was not changed).

          <y:Arrows source="delta" target="none"/>
        </y:QuadCurveEdge>
      </data>
    </edge>
    <edge id="e1" source="n5" target="n4">
      <data key="d9">
        <y:QuadCurveEdge straightness="0.1">
          <y:Path sx="70.0" sy="-0.0" tx="-70.0" ty="-10.0"/>
          <y:LineStyle color="#000000" type="line" width="1.0"/>
          <y:Arrows source="delta" target="none"/>
        </y:QuadCurveEdge>

  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(ExportFromTensorflowDialectToExecutor(*mlir_module_));

  EXPECT_EQ(compilation_status.Delta(kExportSuccess), 1);
  EXPECT_EQ(compilation_status.Delta(kExportFailed), 0);
}

TEST_F(TensorflowDialectToExecutorTest, ErrorsWhenCannotConvert) {
  CellReader<int64_t> compilation_status(kExportStreamzName);

  EXPECT_TRUE(result.ok());
  EXPECT_EQ(compilation_status.Delta(kMlirCombinedMlirSuccess), 1);
  EXPECT_EQ(compilation_status.Delta(kMlirCombinedMlirFailure), 0);
  EXPECT_EQ(compilation_status.Delta(kMlirCombinedOldSuccess), 1);
  EXPECT_EQ(compilation_status.Delta(kMlirCombinedOldFailure), 0);
  // Old bridge should never be called at all.
  EXPECT_EQ(compilation_status.Delta(kOldBridgeMlirFilteredFailure), 0);

	return image.DecodeConfig(bufio.NewReader(f))
}

func delta(u0, u1 uint32) int {
	d := int(u0) - int(u1)
	if d < 0 {
		return -d
	}
	return d
}

func withinTolerance(c0, c1 color.Color, tolerance int) bool {
	r0, g0, b0, a0 := c0.RGBA()
	r1, g1, b1, a1 := c1.RGBA()
	r := delta(r0, r1)
	g := delta(g0, g1)
	b := delta(b0, b1)
	a := delta(a0, a1)

  })";

  CellReader<int64_t> error(kHasTpuPartitionedCallStreamzName);
  CreateModule(kMlirModuleStr);

  auto result = Run();

  EXPECT_TRUE(result.succeeded());

  EXPECT_EQ(error.Delta("true"), 1);
  EXPECT_EQ(error.Delta("false"), 0);
}

TEST_F(InferenceMetricsPassTest, RecordsFalseForNonTPUPartitionedCallOp) {
  static constexpr char kMlirModuleStr[] = R"(

	ScrapeTypeEnvoy = "envoy"
	ScrapeTypeApp   = "application"
	ScrapeTypeAgent = "agent"
)

var processStartTime = time.Now()

func RecordStartupTime() {
	delta := time.Since(processStartTime)
	startupTime.Record(delta.Seconds())
	log.Infof("Readiness succeeded in %v", delta)

  }

  /**
   * Adds {@code delta} to the value currently associated with {@code key}, and returns the new
   * value.
   */
  @CanIgnoreReturnValue
  public long addAndGet(K key, long delta) {
    outer:
    while (true) {
      AtomicLong atomic = map.get(key);
      if (atomic == null) {
        atomic = map.putIfAbsent(key, new AtomicLong(delta));
        if (atomic == null) {

    name=""
    uid="charlie"
    missing="false"
    beingDeleted="false"
    deletingDependents="false"
    virtual="false"
  ];
  "delta" [
    label="uid=delta\nnamespace=\n./\n"
    group=""
    version=""
    kind=""
    namespace=""
    name=""
    uid="delta"
    missing="false"
    beingDeleted="false"
    deletingDependents="false"
    virtual="false"
  ];
  "foxtrot" [

			t.Log(e)
		}
	}

	for _, test := range []struct {
		count int
		delta Duration
	}{{
		count: baseCount,
		delta: baseDelta,
	}, {
		count: 8,
		delta: 1 * Second,
	}} {
		count, delta := test.count, test.delta
		ticker := NewTicker(delta)
		t0 := Now()
		for range count / 2 {
			<-ticker.C
		}
		ticker.Reset(delta * 2)
		for range count - count/2 {
			<-ticker.C
		}
		ticker.Stop()