repository.put('class1', value1)
        repository.put('class2', value2)
        Closure cl = Mock()

        when:
        repository.each(cl)

        then:
        1 * cl.call(['class1', value1] as Object[])
        1 * cl.call(['class2', value2] as Object[])
        0 * cl._
    }

    def canIterateOverClassesUsingAction() {
        TestDomainObject value1 = new TestDomainObject('a')

//
// This call may not block for execution of ops enqueued concurrently with this
// call.
TF_CAPI_EXPORT extern void TFE_ExecutorWaitForAllPendingNodes(
    TFE_Executor*, TF_Status* status);

// When an error happens, any pending operations are discarded, and newly issued
// ops return an error. This call clears the error state and re-enables
// execution of newly issued ops.
//

    ```
    """

    def add_task(
        self,
        func: Annotated[
            Callable[P, Any],
            Doc(
                """
                The function to call after the response is sent.

                It can be a regular `def` function or an `async def` function.
                """
            ),
        ],
        *args: P.args,
        **kwargs: P.kwargs,

internal class DerWriter(sink: BufferedSink) {
  /** A stack of buffers that will be concatenated once we know the length of each. */
  private val stack = mutableListOf(sink)

  /** Type hints scoped to the call stack, manipulated with [pushTypeHint] and [popTypeHint]. */
  private val typeHintStack = mutableListOf<Any?>()

  /**
   * The type hint for the current object. Used to pick adapters based on other fields, such as

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
namespace internal {

// Helper functions which delegate to `AbstractOperation`, update
// the state of the ForwardOperation and call the tape as appropriate.
// These APIs are mainly to facilitate testing and are subject to change.

// Records the op name in the `ForwardOperation`.
absl::Status Reset(AbstractOperation*, const char* op,

    populateMap(map, stream, size);
  }

  /**
   * Populates a map by reading an input stream, as part of deserialization. See {@link #writeMap}
   * for the data format. The size is determined by a prior call to {@link #readCount}.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void populateMap(
      Map<K, V> map, ObjectInputStream stream, int size)
      throws IOException, ClassNotFoundException {

	ADDW 433954697820(AX), AX       // ERROR "offset too large"
	// Pseudo-registers should not be used as scaled index.
	CALL (AX)(PC*1)                 // ERROR "invalid instruction"
	CALL (AX)(SB*1)                 // ERROR "invalid instruction"
	CALL (AX)(FP*1)                 // ERROR "invalid instruction"
	// Forbid memory operands for MOV CR/DR. See #24981.

# How to enable 'minio' performance profile with tuned?

## Prerequisites

Please make sure the following packages are already installed via `dnf` or `apt`: 

- `tuned`
- `curl`

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

        Entry<Object, Object> entry = warmed.get(i - WARMUP_MIN);
        assertTrue(cache.asMap().containsKey(entry.getKey()));
        assertTrue(cache.asMap().containsValue(entry.getValue()));
        // this getUnchecked() call shouldn't be a cache miss; verified below
        assertEquals(entry.getValue(), cache.getUnchecked(entry.getKey()));
      }
      assertEquals(WARMUP_SIZE, cache.stats().missCount());
      checkValidState(cache);
    }

        threadPool.submit(
            new Callable<@Nullable Void>() {
              @Override
              public @Nullable Void call() throws InterruptedException {
                new Producer(q, 50).call();
                new Interrupter(mainThread).run();
                new Producer(q, 50).call();
                return null;
              }
            });
    List<Object> buf = newArrayList();