version: v1
    spec:
      containers:
        - name: helloworld
          image: docker.io/istio/examples-helloworld-v1
          resources:
            requests:
              cpu: "100m"
          imagePullPolicy: IfNotPresent
          ports:
            - containerPort: 5000
`
	validPortNamingSvcWithAppProtocol = `
apiVersion: v1
kind: Service
metadata:
  name: hello

  cleanup_makefile()
  setup_python(environ_cp)

  if is_windows():
    environ_cp['TF_NEED_OPENCL'] = '0'
    environ_cp['TF_CUDA_CLANG'] = '0'
    # TODO(ibiryukov): Investigate using clang as a cpu or cuda compiler on
    # Windows.
    environ_cp['TF_DOWNLOAD_CLANG'] = '0'
    environ_cp['TF_NEED_MPI'] = '0'

  if is_ppc64le():
    # Enable MMA Dynamic Dispatch support if 'gcc' and if linker >= 2.35

   char *s = s1;
 
   /* Find the end of S1.  */
-  do
-    c = *s1++;
-  while (c != '\0');
-
-  /* Make S1 point before next character, so we can increment
-     it while memory is read (wins on pipelined cpus).  */
-  s1 -= 2;
+  s1 += strlen (s1);
 
-  if (n >= 4)
-    {
-      size_t n4 = n >> 2;
-      do
-	{
-	  c = *s2++;
-	  *++s1 = c;
-	  if (c == '\0')
-	    return s;

- Fixes regression in CPUManager that caused freeing of exclusive CPUs at incorrect times ([#90377](https://github.com/kubernetes/kubernetes/pull/90377), [@cbf123](https://github.com/cbf123)) [SIG Cloud Provider and Node]

github.com/klauspost/compress v1.17.10/go.mod h1:pMDklpSncoRMuLFrf1W9Ss9KT+0rH90U12bZKk7uwG0=
github.com/klauspost/cpuid/v2 v2.0.1/go.mod h1:FInQzS24/EEf25PyTYn52gqo7WaD8xa0213Md/qVLRg=
github.com/klauspost/cpuid/v2 v2.2.8 h1:+StwCXwm9PdpiEkPyzBXIy+M9KUb4ODm0Zarf1kS5BM=
github.com/klauspost/cpuid/v2 v2.2.8/go.mod h1:Lcz8mBdAVJIBVzewtcLocK12l3Y+JytZYpaMropDUws=

- github.com/jimstudt/http-authentication: [3eca13d](https://github.com/jimstudt/http-authentication/tree/3eca13d)
- github.com/klauspost/cpuid: [v1.2.0](https://github.com/klauspost/cpuid/tree/v1.2.0)
- github.com/kr/logfmt: [b84e30a](https://github.com/kr/logfmt/tree/b84e30a)
- github.com/kylelemons/godebug: [d65d576](https://github.com/kylelemons/godebug/tree/d65d576)

 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
 * very compact {@code Striped<Lock>} of {@code availableProcessors() * 4} stripes, instead of
 * possibly thousands of locks which could be created in a {@code Map<K, Lock>} structure.
 *

- The CPU Manager will now validate the state of the node,  enabling Kubernetes to maintain the CPU topology even if resources change. ([#66718](https://github.com/kubernetes/kubernetes/pull/66718), [@ipuustin](https://github.com/ipuustin))

        TF_NewOperation(host_graph_, func_name_, func_node_name_);
    for (auto input : inputs) {
      TF_AddInput(desc, input);
    }
    // Set device to CPU because some ops inside the function might not be
    // available on GPU.
    TF_SetDevice(desc, "/cpu:0");
    *op = TF_FinishOperation(desc, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    ASSERT_NE(*op, nullptr);
  }

  FunctionDef fdef() {

- github.com/kisielk/errcheck: [v1.2.0](https://github.com/kisielk/errcheck/tree/v1.2.0)
- github.com/kisielk/gotool: [v1.0.0](https://github.com/kisielk/gotool/tree/v1.0.0)
- github.com/klauspost/cpuid: [v1.2.0](https://github.com/klauspost/cpuid/tree/v1.2.0)
- github.com/kr/pty: [v1.1.5](https://github.com/kr/pty/tree/v1.1.5)
- github.com/kylelemons/godebug: [d65d576](https://github.com/kylelemons/godebug/tree/d65d576)