// Arrange: first ensureTreeConnected comes from pipe
        when(pipe.ensureTreeConnected()).thenReturn(tree);
        when(tree.acquire()).thenReturn(tree); // method returns itself per implementation

        // Act: call twice
        try (SmbTreeHandleImpl t1 = target.ensureTreeConnected(); SmbTreeHandleImpl t2 = target.ensureTreeConnected()) {
            assertSame(tree, t1);

If your lambda target expects an authorization token then you can enable it per function target as follows

```
MINIO_LAMBDA_WEBHOOK_ENABLE_function=on MINIO_LAMBDA_WEBHOOK_ENDPOINT_function=http://localhost:5000 MINIO_LAMBDA_WEBHOOK_AUTH_TOKEN="mytoken" minio server /data &
```

### Lambda Target with mTLS authentication

If your lambda target expects mTLS client you can enable it per function target as follows
```

 */
package jcifs.internal.smb2.rdma;

import jcifs.internal.util.SMBUtil;

/**
 * SMB2 RDMA Transform structure for READ/WRITE channel info.
 *
 * As per MS-SMB2 2.2.13.1.1 and 2.2.21.1.1
 */
public class Smb2RdmaTransform {

    // SMB_DIRECT_BUFFER_DESCRIPTOR_V1 structure
    private long offset; // 8 bytes: Offset within registered buffer

An example could be that you have an external authentication provider that you need to call.

You send it a token and it returns an authenticated user.

This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests.

You probably want to test the external provider once, but not necessarily call it for every test that runs.

    /**
     * The search term for which related queries are shown.
     */
    @Required
    @Size(max = 10000)
    public String term;

    /**
     * The related queries to be suggested (one per line).
     */
    @Required
    @Size(max = 10000)
    public String queries;

    /**
     * The virtual host for which these related queries apply.
     */
    @Size(max = 1000)

      new RegularImmutableMap<>(null, new Object[0], 0);

  /*
   * This is an implementation of ImmutableMap optimized especially for Android, which does not like
   * objects per entry.  Instead we use an open-addressed hash table.  This design is basically
   * equivalent to RegularImmutableSet, save that instead of having a hash table containing the

 * <li>{@link #indexFromQueryLog(QueryLog[])} - Index from multiple query logs.
 * <li>{@link #indexFromQueryLog(QueryLogReader, int, long)} - Index from query log reader with specified document per request and request interval.
 * <li>{@link #indexFromDocument(Map[])} - Index from an array of documents.
 * <li>{@link #indexFromSearchWord(String, String[], String[], String[], int, String[])} - Index from search word.

import org.junit.jupiter.api.Test

/**
 * Test for new Let's Encrypt Root Certificate.
 */
@Tag("Remote")
class LetsEncryptClientTest {
  @Test fun get() {
    // These tests wont actually run before Android 8.0 as per
    // https://github.com/mannodermaus/android-junit5
    // Raised https://github.com/mannodermaus/android-junit5/issues/228 to reevaluate
    val androidMorEarlier = Build.VERSION.SDK_INT <= 23

import org.jspecify.annotations.Nullable;

/**
 * A concurrent map which forwards all its method calls to another concurrent map. Subclasses should
 * override one or more methods to modify the behavior of the backing map as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>{@code default} method warning:</b> This class forwards calls to <i>only some</i> {@code

 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()
 *         <li>5 levels: average of 103ns per lock()/unlock()
 *         <li>10 levels: average of 184ns per lock()/unlock()
 *         <li>20 levels: average of 393ns per lock()/unlock()
 *       </ul>
 * </ul>
 *