// Consequently, it cannot select a correct instantiation of ThreadWithParam
// in order to call its Run(). Introducing ThreadWithParamBase as a
// non-templated base class for ThreadWithParam allows us to bypass this
// problem.
class ThreadWithParamBase {
 public:
  virtual ~ThreadWithParamBase() {}
  virtual void Run() = 0;
};

// pthread_create() accepts a pointer to a function type with the C linkage.

				}),
			pods: []*v1.Pod{{Spec: v1.PodSpec{NodeName: "node1"}, ObjectMeta: metav1.ObjectMeta{Namespace: "subteam1.team2", Labels: podLabel}}},
			node: &node1,
		},
	}

	for _, test := range tests {
		t.Run(test.name, func(t *testing.T) {
			_, ctx := ktesting.NewTestContext(t)
			ctx, cancel := context.WithCancel(ctx)
			defer cancel()
			snapshot := cache.NewSnapshot(test.pods, []*v1.Node{test.node})

			expectUpdateStatus:         false,
			expectErr:                  true,
			jobPresentInCJActiveStatus: false,
		},
	}
	for name, tc := range testCases {
		name := name
		tc := tc

		t.Run(name, func(t *testing.T) {
			cj := cronJob()
			cj.Spec.ConcurrencyPolicy = tc.concurrencyPolicy
			cj.Spec.Suspend = &tc.suspend
			cj.Spec.Schedule = tc.schedule
			cj.Spec.TimeZone = tc.timeZone

//	   the mcentral.
//
//	3. If the mcentral's mspan list is empty, obtain a run
//	   of pages from the mheap to use for the mspan.
//
//	4. If the mheap is empty or has no page runs large enough,
//	   allocate a new group of pages (at least 1MB) from the
//	   operating system. Allocating a large run of pages
//	   amortizes the cost of talking to the operating system.
//

		{"SmallEven1", "0x7E"},
		{"SmallEven2", "0x7C"},
		{"SmallEven3", "0x78"},
		{"SmallEven4", "0x70"},
	}
	for _, mod := range mods {
		n, _ := new(Int).SetString(mod.val, 0)
		out := new(Int)
		b.Run(mod.name, func(b *testing.B) {
			b.ReportAllocs()
			for i := 0; i < b.N; i++ {
				out.Exp(x, y, n)
			}
		})
	}
}

func BenchmarkExp2(b *testing.B) {
	x, _ := new(Int).SetString("2", 0)

  virtual string ToString() const = 0;

  // An ID assigned to the Predicate at construction time.  Conceptually like a
  // pointer, except that it is stable across runs.
  int64_t id() const { return id_; }

  virtual absl::Span<Predicate* const> GetOperands() const = 0;

  virtual Kind kind() const = 0;
  virtual ~Predicate() {}

    ],
)

tf_cuda_cc_test(
    name = "pjrt_compile_util_test",
    srcs = ["pjrt_compile_util_test.cc"],
    tags = [
        "config-cuda-only",
        "no_oss",  # This test only runs with GPU.
        "requires-gpu-nvidia",
        "xla",
    ],
    deps = [
        ":pjrt_compile_util",
        ":test_util",
        ":xla_gpu_jit",
        "//tensorflow/cc:function_ops",

		Long: `Analyzes pod, its Services, DestinationRules, and VirtualServices and reports
the configuration objects that affect that pod.`,
		Example: `  istioctl experimental describe pod productpage-v1-c7765c886-7zzd4`,
		RunE: func(cmd *cobra.Command, args []string) error {
			describeNamespace = ctx.NamespaceOrDefault(ctx.Namespace())
			if len(args) != 1 {
				return fmt.Errorf("expecting pod name")
			}

		{testBuckets[0], "unique/", "", "", 1000, true, ListObjectsInfo{}, resultCasesV[1], nil, true},
	}

	for i, testCase := range testCases {
		testCase := testCase
		t.Run(fmt.Sprintf("%s-Test%d", instanceType, i+1), func(t *testing.T) {
			var err error
			var resultL ListObjectsInfo
			var resultV ListObjectVersionsInfo
			if testCase.versioned {

	if ruleFile == nil {
		// Open a log file to write log to. We open in append
		// mode because all.bash runs the compiler lots of times,
		// and we want the concatenation of all of those logs.
		// This means, of course, that users need to rm the old log
		// to get fresh data.
		// TODO: all.bash runs compilers in parallel. Need to synchronize logging somehow?