assert.NoError(t, err)
	if fixture.podNsMap.Get("863b91d4-4b68-4efa-917f-4b560e3e86aa") == nil {
		t.Fatal("expected pod to be in cache")
	}
}

// for tests that call `runtime.GC()` - we have no control over when the GC is actually scheduled,
// and it is flake-prone to check for closure after calling it, this retries for a bit to make
// sure the netns is closed eventually.
func assertNSClosed(t *testing.T, closed *atomic.Bool) {

	if err != nil {
		return nil, err
	}

	_, err = obj.Stat()
	if err != nil {
		return nil, err
	}

	return obj, nil
}

// TransferError will catch network errors during transfer.
// When TransferError() is called Close() will also
// be called, so we do not need to Wait() here.
func (w *writerAt) TransferError(err error) {
	_ = w.w.CloseWithError(err)
	_ = w.r.CloseWithError(err)
	w.err = err
}

                      return null;
                    }
                  },
                  service);
        } else if (i % DIRECT_EXECUTIONS_PER_THREAD == DIRECT_EXECUTIONS_PER_THREAD - 1) {
          // When at max depth, record stack trace depth
          lengthChecks.add(
              serializer.submit(
                  new Callable<Integer>() {
                    @Override
                    public Integer call() {

	// in Using IAM.
	//
	// Arn is a required field
	Arn string

	// A unique identifier that contains the role ID and the role session name of
	// the role that is being assumed. The role ID is generated by AWS when the
	// role is created.
	//
	// AssumedRoleId is a required field
	AssumedRoleID string `xml:"AssumeRoleId"`
	// contains filtered or unexported fields
}

#include "tensorflow/core/platform/logging.h"

namespace tensorflow {

namespace {

// Managing context for the DLManagedTensor, will manage the lifetime of
// DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the
// original framework of destruction, and this context will be deleted also.
struct TfDlManagedTensorCtx {
  TensorReference reference;
  std::vector<int64_t> shape;

        .build()

    // This client fails to connect because the new SSL socket factory refuses.
    assertFailsWith<IOException> {
      anotherClient.newCall(request).execute()
    }.also { expected ->
      when (expected) {
        is SSLException, is TlsFatalAlert -> {}
        else -> throw expected
      }
    }
  }

  @Test
  fun connectionsAreNotReusedIfHostnameVerifierChanges() {
    enableHttps()

   * Associates {@code value} with {@code key} in this cache. If the cache previously contained a
   * value associated with {@code key}, the old value is replaced by {@code value}.
   *
   * <p>Prefer {@link #get(Object, Callable)} when using the conventional "if cached, return;
   * otherwise create, cache and return" pattern.
   *
   * @since 11.0
   */
  void put(K key, V value);

  /**

        "//tensorflow/python:__pkg__",
    ],
    deps = [
        ":c_api",
        ":c_api_internal",
        "//tensorflow/core:protos_all_cc",
        # TODO(b/74620627): remove when _USE_C_SHAPES is removed
    ],
    alwayslink = 1,
)

cc_library(
    name = "conversion_macros",
    hdrs = [
        "conversion_macros.h",
    ],

process](images/operator_render_flow.svg) The example in the figure shows the rendering being triggered by a CLI `mesh`
command with a `IstioOperatorSpec` CR passed to it from a file; however, the same rendering steps would occur when an
in-cluster CR is updated and the controller acts upon it to generate a new manifest to apply to the cluster. Note that
both the charts and configuration profiles can come from three different sources: compiled-in, local filesystem.

 * reflecting the new developments of Java 5.
 *
 * <p>As with other collection types, the modification operations are optional, and should throw
 * {@link UnsupportedOperationException} when they are not implemented. Most implementations should
 * support either all add operations or none of them, all removal operations or none of them, and if
 * and only if all of these are supported, the {@code setCount} methods as well.