}

    @Test
    @DisplayName("Test multiple calls to readBytesWireFormat")
    void testMultipleReadBytesWireFormatCalls() throws SMBProtocolDecodingException {
        byte[] buffer = new byte[1024];
        int bufferIndex = 0;

        // Set structure size to 2
        SMBUtil.writeInt2(2, buffer, bufferIndex);

        // Call readBytesWireFormat multiple times
        for (int i = 0; i < 5; i++) {

 */
package org.apache.maven.artifact.resolver.filter;

import java.util.Collection;
import java.util.LinkedHashSet;
import java.util.Set;

import org.apache.maven.artifact.Artifact;

/**
 * Apply multiple filters, accepting an artifact if at least one of the filters accepts it.
 *
 */
@Deprecated
public class OrArtifactFilter implements ArtifactFilter {

    private Set<ArtifactFilter> filters;

            assertArrayEquals(salt, Arrays.copyOfRange(buffer, 6, 10));
        }

        @Test
        @DisplayName("Should encode multiple hash algorithms with salt")
        void testEncodeMultipleHashAlgosWithSalt() {
            int[] hashAlgos = { 0x01, 0x02, 0x03 };
            byte[] salt = { 0x0A, 0x0B };

 * the HTTP message.
 *
 * This class tracks header values line-by-line. A field with multiple comma- separated values on
 * the same line will be treated as a field with a single value by this class. It is the caller's
 * responsibility to detect and split on commas if their field permits multiple values. This
 * simplifies use of single-valued fields whose values routinely contain commas, such as cookies or
 * dates.
 *

   * across calls to multiple listeners. Specifically, a given listener will have its callbacks
   * invoked in the same order as the underlying service enters those states. Additionally, at most
   * one of the listener's callbacks will execute at once. However, multiple listeners' callbacks

recommendation is not to serve models using Eager mode since it also has
performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the

import org.apache.maven.artifact.repository.RepositoryRequest;
import org.apache.maven.artifact.resolver.ArtifactNotFoundException;
import org.apache.maven.artifact.resolver.ArtifactResolutionException;

/**
 * Manages multiple ArtifactTransformation instances and applies them in succession.
 */
@Deprecated
public interface ArtifactTransformationManager {
    String ROLE = ArtifactTransformationManager.class.getName();

    /**

 * or extended by Maven plugins or extensions and consumed by Maven itself.</li>
 * <li>{@link ThreadSafe}: Implies that implementations of this interface must
 * be safe to invoke from multiple threads concurrently.</li>
 * </ul>
 *
 * @since 4.0.0
 */
@Experimental
@FunctionalInterface
@Consumer
@ThreadSafe
public interface Mojo {
    /**

/**
 * Runs a MockWebServer on localhost and uses it as the backend to receive an OAuth session.
 *
 * <p>Clients should call {@link #start}, {@link #newAuthorizeUrl} and {@link #close} in that order.
 * Clients may request multiple sessions.
 */
public final class OAuthSessionFactory extends Dispatcher implements Closeable {
  private final SecureRandom secureRandom = new SecureRandom();

  private final SlackApi slackApi;

  public static boolean equal(@Nullable Object a, @Nullable Object b) {
    return java.util.Objects.equals(a, b);
  }

  /**
   * Generates a hash code for multiple values. The hash code is generated by calling {@link
   * Arrays#hashCode(Object[])}. Note that array arguments to this method, with the exception of a