// 2. `subsys:` -> request for config of a single subsystem and the default target.
// 3. `subsys` -> request for config of all targets for the given subsystem.
//
// This is a reporting API and config secrets are redacted in the response.
func (a adminAPIHandlers) GetConfigKVHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, cred := validateAdminReq(ctx, w, r, policy.ConfigUpdateAdminAction)

 *      <td>configurator</td>
 *      <td>configurator = "&lt;role-hint&gt;"</td>
 *      <td>No</td>
 *      <td>The configurator type to use when injecting parameter values into this Mojo. The value is normally
 *          deduced from the Mojo's implementation language, but can be specified to allow a custom
 *          ComponentConfigurator implementation to be used.
 *          <br>

  assertEquals("/v1/chat/messages/2", request2.getPath());

  RecordedRequest request3 = server.takeRequest();
  assertEquals("/v1/chat/messages/3", request3.getPath());

  // Shut down the server. Instances cannot be reused.
  server.shutdown();
}
```

Your unit tests might move the `server` into a field so you can shut it down
from your test's `tearDown()`.

### API

#### MockResponse

    return getUninterruptibly(future);
  }

  /**
   * Returns the result of {@link Future#get()}, converting most exceptions to a new instance of the
   * given checked exception type. This reduces boilerplate for a common use of {@code Future} in
   * which it is unnecessary to programmatically distinguish between exception types or to extract
   * other information from the exception instance.
   *

        A result(Collector<T, A, R> collector, Iterable<T> inputs);
  }

  /**
   * Verifies that the specified expected result is always produced by collecting the specified
   * inputs, regardless of how the elements are divided.
   */
  @SafeVarargs
  @CanIgnoreReturnValue

//
// `GetID` returns a unique id for the wrapped tensor which is used to maintain
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of
// the op that produced it (or -1 if this tensor was watched using
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`)

    // Since the last element of the heap is from the bottom level, we
    // optimistically fill index position with elements from lower levels,
    // moving the hole down. In most cases this reduces the number of
    // comparisons with toTrickle, but in some cases we will need to bubble it
    // all the way up again.
    int vacated = heap.fillHoleAt(index);
    // Try to see if toTrickle can be bubbled up min levels.

// NewArena allocates a new arena.
func NewArena() *Arena {
	return &Arena{a: runtime_arena_newArena()}
}

// Free frees the arena (and all objects allocated from the arena) so that
// memory backing the arena can be reused fairly quickly without garbage
// collection overhead. Applications must not call any method on this
// arena after it has been freed.
func (a *Arena) Free() {
	runtime_arena_arena_Free(a.a)
	a.a = nil
}

                                                  int dim_index,
                                                  TF_Status* status);

// Returns the device of the operation that produced `h`. If `h` was produced by
// a copy, returns the destination device of the copy. Note that the returned
// device name is not always the device holding the tensor handle's memory. If

		// a row, then make sure we print it to call attention.
		if m[err.Error()] > 2 {
			peersLogAlwaysIf(ctx, fmt.Errorf("Following error has been printed %d times.. %w", m[err.Error()], err))
			// Reduce the count to introduce further delay in printing
			// but let it again print after the 2th attempt
			m[err.Error()]--
			m[err.Error()]--
		}
		m[err.Error()]++
	}
}()