RowsAffected int64
	Err          error
}

// New trace recorder
func (l *traceRecorder) New() *traceRecorder {
	return &traceRecorder{Interface: l.Interface, BeginAt: time.Now()}
}

// Trace implement logger interface
func (l *traceRecorder) Trace(ctx context.Context, begin time.Time, fc func() (string, int64), err error) {
	l.BeginAt = begin
	l.SQL, l.RowsAffected = fc()
	l.Err = err
}

    }

    @Test
    @DisplayName("Context should implement CIFSContext interface")
    void testInterfaceImplementation() {
        // Then
        assertTrue(context instanceof jcifs.CIFSContext, "BaseContext should implement CIFSContext interface");
    }

    @Test
    @DisplayName("Context should extend AbstractCIFSContext")

  }

  @CollectionSize.Require(absent = ZERO)
  @MapFeature.Require(SUPPORTS_REMOVE)
  /*
   * We are comparing Multimaps of the same type, so as long as they have value collections that
   * implement equals() (as with ListMultimap or SetMultimap, as opposed to a QueueMultimap or
   * something), our equality check is value-based.
   */
  @SuppressWarnings("UndefinedEquals")

import static com.google.common.math.MathPreconditions.checkRoundingUnnecessary;

import com.google.common.annotations.GwtIncompatible;
import java.math.RoundingMode;

/**
 * Helper type to implement rounding {@code X} to a representable {@code double} value according to
 * a {@link RoundingMode}.
 */
@GwtIncompatible
abstract class ToDoubleRounder<X extends Number & Comparable<X>> {
  /**

    }

    /**
     * Basic processing method that other process methods delegate to.
     * Default implementation returns the target unchanged.
     * Subclasses should override this method to implement specific processing logic.
     *
     * @param target the document data to process
     * @return the processed document data
     */
    protected Map<String, Object> process(final Map<String, Object> target) {

* kube-apiserver: oidc authentication now supports requiring specific claims with `--oidc-required-claim=<claim>=<value>` ([#62136](https://github.com/kubernetes/kubernetes/pull/62136), [@rithujohn191](https://github.com/rithujohn191))
* Implements verbosity logging feature for kubeadm commands ([#57661](https://github.com/kubernetes/kubernetes/pull/57661), [@vbmade2000](https://github.com/vbmade2000))

    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time
    // bound.  But these ideas are harder to implement.  We do not try to detect or handle a
    // user-specified -XX:+DisableExplicitGC.
    //
    // TODO(user): Consider using
    // java/lang/management/OperatingSystemMXBean.html#getSystemLoadAverage()
    //

    }

    /**
     * Determines whether the current request is authorized to access the API endpoint.
     * This default implementation returns false, requiring subclasses to override
     * and implement proper access control logic.
     *
     * @return true if access is allowed, false otherwise
     */
    protected boolean isAccessAllowed() {
        return false;
    }

// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//
// TODO(akshayka): Implement a corresponding getter method.
void TF_GraphSetOutputHandleShapesAndTypes(TF_Graph* graph, TF_Output output,
                                           int num_shapes_and_types,

    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which
        boosts model performance on various tasks, e.g., ResNet on image
        classification.

*   `tf.data`: