if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
			return
		}
		if foundResult == nil {
			err := errors.New("Specified user does not exist on LDAP server")
			APIErr := errorCodes.ToAPIErrWithErr(ErrAdminNoSuchUser, err)
			writeErrorResponseJSON(ctx, w, APIErr, r.URL)
			return
		}

		// In case of LDAP/OIDC we need to set `opts.claims` to ensure

			secretName:      "nonexistingSecret",
			name:            "cluster-foo",
			want:            "cal-want",
			wantErrStr:      "provided secret does not exist",
			k8sMinorVersion: "23",
		},
	}

	for i := range cases {
		c := &cases[i]
		t.Run(fmt.Sprintf("[%v] %v", i, c.testName), func(tt *testing.T) {
			makeOutputWriterTestHook = func() writer {

    addNode(key, value, null);
    return true;
  }

  // Bulk Operations

  /**
   * {@inheritDoc}
   *
   * <p>If any entries for the specified {@code key} already exist in the multimap, their values are
   * changed in-place without affecting the iteration order.
   *
   * <p>The returned list is immutable and implements {@link java.util.RandomAccess}.
   */
  @CanIgnoreReturnValue

   * in any particular order. The returned {@code Iterator} is a "weakly consistent" iterator that
   * will never throw {@link ConcurrentModificationException}, and guarantees to traverse elements
   * as they existed upon construction of the iterator, and may (but is not guaranteed to) reflect
   * any modifications subsequent to construction.
   *
   * @return an iterator over the elements in this queue
   */

	if err != nil {
		if isErrBucketNotFound(err) {
			return batchReplicationJobError{
				Code:           "NoSuchSourceBucket",
				Description:    fmt.Sprintf("The specified bucket %s does not exist", localBkt),
				HTTPStatusCode: http.StatusNotFound,
			}
		}
		return err
	}

	if err := r.Source.Type.Validate(); err != nil {
		return err
	}

your changes by running the command:

```bash
tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh
```

This will catch most license, Python coding style and BUILD file issues that
may exist in your changes.

#### Running unit tests

There are two ways to run TensorFlow unit tests.

1.  Using tools and libraries installed directly on your system.

    Refer to the

 *         }
 *         public void failure(Service service) {
 *           // Something failed, at this point we could log it, notify a load balancer, or take
 *           // some other action.  For now we will just exit.
 *           System.exit(1);
 *         }
 *       },
 *       MoreExecutors.directExecutor());
 *
 *     Runtime.getRuntime().addShutdownHook(new Thread() {
 *       public void run() {

 *         }
 *         public void failure(Service service) {
 *           // Something failed, at this point we could log it, notify a load balancer, or take
 *           // some other action.  For now we will just exit.
 *           System.exit(1);
 *         }
 *       },
 *       MoreExecutors.directExecutor());
 *
 *     Runtime.getRuntime().addShutdownHook(new Thread() {
 *       public void run() {

			fmt.Println("Refer to the docs here on how to run it as a Windows Service https://github.com/minio/minio-service/tree/master/windows")
			fmt.Println("Press the Enter Key to Exit")
			fmt.Scanln()
			os.Exit(1)
		}
	}

	logger.Init(GOPATH, GOROOT)
	logger.RegisterError(config.FmtError)

	t, _ := minioVersionToReleaseTime(Version)
	if !t.IsZero() {
		globalVersionUnix = uint64(t.Unix())
	}

```

```sh
mc idp ldap policy detach myminio mypolicy ----group='cn=projectx,ou=groups,ou=hwengg,dc=min,dc=io'
```


Note that the commands above attempt to validate if the given entity (user or group) exist in the LDAP directory and return an error if they are not found.

<details><summary> View **DEPRECATED** older policy association commands</summary>