public boolean removeEdge(E edge) {
    checkNotNull(edge, "edge");

    N nodeU = edgeToReferenceNode.get(edge);
    if (nodeU == null) {
      return false;
    }

    // requireNonNull is safe because of the edgeToReferenceNode check above.
    NetworkConnections<N, E> connectionsU = requireNonNull(nodeConnections.get(nodeU));
    N nodeV = connectionsU.adjacentNode(edge);

  private void updateInverseMap(
      @ParametricNullness K key,
      boolean containedKey,
      @Nullable V oldValue,
      @ParametricNullness V newValue) {
    if (containedKey) {
      // The cast is safe because of the containedKey check.
      removeFromInverseMap(uncheckedCastNullableTToT(oldValue));
    }
    inverse.delegate.put(newValue, key);
  }

  @CanIgnoreReturnValue
  @Override

    public V apply(@ParametricNullness K key) {
      V result = map.get(key);
      checkArgument(result != null || map.containsKey(key), "Key '%s' not present in map", key);
      // The unchecked cast is safe because of the containsKey check.
      return uncheckedCastNullableTToT(result);
    }

    @Override
    public boolean equals(@Nullable Object o) {
      if (o instanceof FunctionForMapNoDefault) {

 * full queue, the queue automatically removes its head element. This is different from conventional
 * bounded queues, which either block or reject new elements when full.
 *
 * <p>This class is not thread-safe, and does not accept null elements.
 *
 * @author Kurt Alfred Kluever
 * @since 15.0
 */
@GwtCompatible
public final class EvictingQueue<E> extends ForwardingQueue<E> implements Serializable {

   * {@link Builder#putAll}
   *
   * <p>Despite the method name, this method attempts to avoid actually copying the data when it is
   * safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   */
  public static <R, C, V> ImmutableTable<R, C, V> copyOf(

                size = sfd.getInitialSize();
                resumeKey = rkresp.getResumeKey();

                // start with some reasonably safe defaults, the server will till us if it does not like it
                // can we resume this if we loose the file descriptor?

                int maxChunks = 256;
                int maxChunkSize = 1024 * 1024;

        // Then
        assertNotNull(exception.getContext());
        assertTrue(exception.getContext().isEmpty());

        // Adding null context should be safe
        exception.withContext(null);
        assertTrue(exception.getContext().isEmpty());
    }

    @Test
    @DisplayName("Should be serializable")
    void testSerialization() throws Exception {

### High availability

A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.

import java.util.Map;

/**
 * Parameter container class for data store configurations and runtime parameters.
 * This class provides a convenient wrapper around a Map to store and retrieve
 * data store specific parameters with type-safe access methods.
 *
 * <p>The class uses a ParamMap internally which provides case format conversion
 * between camelCase and snake_case parameter names for flexible parameter access.

 * The class uses a static {@code idCount} to generate unique IDs for each access result.
 * The {@code idCountLock} object is used to synchronize access to the {@code idCount} variable,
 * ensuring that IDs are generated in a thread-safe manner.
 * </p>
 *
 * <p>
 * The class also provides methods to get the count of access results for a given session,
 * to delete all access results for a given session, and to delete all access results.
 * </p>
 *