public static <S> ElementOrder<S> unordered() {
    return new ElementOrder<>(Type.UNORDERED, null);
  }

  /**
   * Returns an instance which specifies that ordering is guaranteed to be always be the same across
   * iterations, and across releases. Some methods may have stronger guarantees.
   *
   * <p>This instance is only useful in combination with {@code incidentEdgeOrder}, e.g. {@code
   * graphBuilder.incidentEdgeOrder(ElementOrder.stable())}.

  public static <S> ElementOrder<S> unordered() {
    return new ElementOrder<>(Type.UNORDERED, null);
  }

  /**
   * Returns an instance which specifies that ordering is guaranteed to be always be the same across
   * iterations, and across releases. Some methods may have stronger guarantees.
   *
   * <p>This instance is only useful in combination with {@code incidentEdgeOrder}, e.g. {@code
   * graphBuilder.incidentEdgeOrder(ElementOrder.stable())}.

	// Len
	n := r.Len()
	if n != N {
		t.Errorf("r.Len() == %d; expected %d", n, N)
	}

	// iteration
	n = 0
	s := 0
	r.Do(func(p any) {
		n++
		if p != nil {
			s += p.(int)
		}
	})
	if n != N {
		t.Errorf("number of forward iterations == %d; expected %d", n, N)
	}
	if sum >= 0 && s != sum {
		t.Errorf("forward ring sum = %d; expected %d", s, sum)
	}

	if r == nil {

package main

import (
	"fmt"
	"math"
	"time"
)

// checkLinear asserts that the running time of f(n) is in O(n).
// tries is the initial number of iterations.
func checkLinear(typ string, tries int, f func(n int)) {
	// Depending on the machine and OS, this test might be too fast
	// to measure with accurate enough granularity. On failure,

	ssc.enqueueStatefulSet(set)
	fakeWorker(ssc)
	selector, err := metav1.LabelSelectorAsSelector(set.Spec.Selector)
	if err != nil {
		return err
	}
	iterations := 0
	for (maxIterations < 0 || iterations < maxIterations) && set.Status.ReadyReplicas < *set.Spec.Replicas {
		iterations++
		pods, err := om.podsLister.Pods(set.Namespace).List(selector)
		if err != nil {
			return err
		}
		ord := len(pods) - 1

  OpPassManager pass_manager;
  llvm::StringRef device_type = "XLA_CPU_JIT";
  absl::string_view kInlinePass =
      "inline{default-pipeline=canonicalize "
      "inlining-threshold=4294967295 max-iterations=4 }";

  CreateConvertMlirToXlaHloPipeline(pass_manager, device_type,
                                    /*enable_op_fallback=*/true,
                                    /*custom_legalization_passes*/ {});

  }
};

// Test for resource leaks related to TensorFlow session closing requirements
// when loading and unloading large numbers of SavedModelBundles.
// TODO(sukritiramesh): Increase run iterations and move outside of the test
// suite.
TEST_F(LoaderTest, ResourceLeakTest) {
  SavedModelBundleLite bundle;
  SessionOptions session_options;
  RunOptions run_options;

  const string export_dir =

			} else {
				panic(fmt.Sprintf("finalizer started %s ago (%s after registration) and ran %d iterations, but did not return", time.Since(finalizerStart), finalizerStart.Sub(setFinalizerTime), progress.Load()))
			}
		})
		defer timer.Stop()
	}

	GC()
	wg.Wait()
	t.Logf("finalizer started after %s and ran %d iterations in %v", finalizerStart.Sub(setFinalizerTime), progress.Load(), time.Since(finalizerStart))
}

	// The initial temporary is X15, so zero its memory instead
	// of X15 itself.
	MOVL $0, DX
	MOVQ DX, X13
	MOVQ DX, X14
	MOVOU X14, (15*16)(BX)

	// 4 iterations. Each iteration is 8 quarter-rounds.
	MOVL $4, DX
loop:
	QR(X0, X4, X8, X12, X15)
	MOVOU X4, (4*16)(BX) // save X4
	QR(X1, X5, X9, X13, X15)
	MOVOU (15*16)(BX), X15 // reload X15; temp now X4

string BackPropFrameName(const string& forward_frame_name) {
  return strings::StrCat(forward_frame_name, "_backprop");
}

// Creates a loop that counts the number of iterations performed by the
// while loop associated with `while_ctx`. The returned output yields the
// iteration count.
Status AddForwardLoopCounter(WhileContext* while_ctx, const Scope& scope,
                             Output* count) {
  // Create while loop:
  //   i = 0