// If cgo is involved, reproducibility is already pretty well ruined anyway,
	// given that we aren't stamping header or library versions.
	//
	// TODO(bcmills): perhaps we could at least parse the flags and stamp the
	// subset of flags that are known not to be paths?
	if cfg.BuildContext.CgoEnabled && !cfg.BuildTrimpath {

function create-cluster-autoscaler-mig-config() {

  # Each MIG must have at least one node, so the min number of nodes
  # must be greater or equal to the number of migs.
  if [[ ${AUTOSCALER_MIN_NODES} -lt 0 ]]; then
    echo "AUTOSCALER_MIN_NODES must be greater or equal 0"
    exit 2
  fi

  # Each MIG must have at least one node, so the min number of nodes
  # must be greater or equal to the number of migs.

  TFL_OperandIsRankedAndHasDimPred<n, dim>,
  CPred<"$_op.getOperand(" # n # ").getType().cast<ShapedType>()"
      ".getShape()[" # dim # " ] <= " # size>]>;

// Returns true if the n-th operand has unknown rank or at least rank m.
class TFL_OperandHasAtleastRank<int n, int m> :
  PredOpTrait<"operand " # n # " is " # m # "-D",
    Or<[CPred<"$_op.getOperand(" # n # ").getType().isa<UnrankedTensorType>()">,
      CPred<"$_op.getOperand(" # n #

	count, err := testutil.GetHistogramMetricCount(m)
	if err != nil {
		t.Errorf("Failed to get %s sampleCount, err: %v", metrics.PluginExecutionDuration.Name, err)
	}
	if count == 0 {
		t.Error("Expect at least 1 sample")
	}
	value, err := testutil.GetHistogramMetricValue(m)
	if err != nil {
		t.Errorf("Failed to get %s value, err: %v", metrics.PluginExecutionDuration.Name, err)
	}
	checkLatency(t, value)
}

      "important to you");
  return EmptyWhileParams();
#else
  if (ninputs == 0) {
    status->status =
        InvalidArgument("TF_NewWhile() must be passed at least one input");
    return EmptyWhileParams();
  }

  TF_Graph* cond_graph = TF_NewGraph();
  TF_Graph* body_graph = TF_NewGraph();
  cond_graph->parent = g;
  cond_graph->parent_inputs = inputs;

	assert.Error(t, kubelet.updateNodeStatus(ctx))

	// should have attempted multiple times
	if actualAttempts := atomic.LoadInt64(&attempts); actualAttempts < nodeStatusUpdateRetry {
		t.Errorf("Expected at least %d attempts, got %d", nodeStatusUpdateRetry, actualAttempts)
	}
	// should have gotten multiple failure callbacks

        .build(),
    )
    server.enqueue(
      MockResponse.Builder()
        .code(HttpURLConnection.HTTP_NOT_MODIFIED)
        .build(),
    )

    // At least three request/response pairs are required because after the first request is cached
    // a different execution path might be taken. Thus modifications to the cache applied during

	thresholdNotifier.EXPECT().Description().Return("mock thresholdNotifier").Times(1)
	manager.thresholdNotifiers = []ThresholdNotifier{thresholdNotifier}

	// The UpdateThreshold method should be called because at least notifierRefreshInterval time has passed.
	// The Description method should be called because UpdateThreshold returned an error
	fakeClock.Step(2 * notifierRefreshInterval)

    // Connection is pooled!
    assertThat(server.takeRequest().sequenceNumber).isEqualTo(1)
  }

  @Test
  fun streamDiscardingIsTimely() {
    // This response takes at least a full second to serve: 10,000 bytes served 100 bytes at a time.
    server.enqueue(
      MockResponse.Builder()
        .body(Buffer().write(ByteArray(10000)))
        .throttleBody(100, 10, TimeUnit.MILLISECONDS)

def LowerQuantizedPass : Pass<"tf-lower-quantized", "mlir::func::FuncOp"> {
  let summary = "Lowers ops that require quantized input or output.";

  let description = [{
    This pass rewrites all ops that have at least one input or output that must
    be a quantized type to ops whose inputs and outputs allow non-quantized
    types. Examples of quantized types are TF_Qint8 or TF_Quint8.