// Given
        byte[] buffer = new byte[256];
        int bodyStart = 0;
        int dataLength = 5;
        // Use a small offset value that is safe
        byte dataOffsetByte = 100;

        // Write structure
        SMBUtil.writeInt2(17, buffer, bodyStart);
        buffer[bodyStart + 2] = dataOffsetByte;

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - for settings management.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

        assertTrue(stats.getIntegerOverflowsPrevented() > 0);
    }

    @Test
    public void testBoundaryValues() throws Exception {
        // Test boundary values for safe operations
        assertEquals(Integer.MAX_VALUE, validator.safeAdd(Integer.MAX_VALUE, 0));
        assertEquals(Integer.MIN_VALUE, validator.safeAdd(Integer.MIN_VALUE, 0));

import jcifs.spnego.NegTokenInit;

/**
 * Base kerberos authenticator
 *
 * Uses a subject that contains kerberos credentials for use in GSSAPI context establishment.
 *
 * Be advised that short/NetBIOS name usage is not supported with this authenticator. Always specify full FQDNs.
 * This can be a problem if using DFS in it's default configuration as they still return referrals in short form.

        // TODO(b/139735208): Figure out what to do when the factory returns null.
        requireNonNull(thread);
        if (nameFormat != null) {
          // requireNonNull is safe because we create `count` if (and only if) we have a nameFormat.
          thread.setName(format(nameFormat, requireNonNull(count).getAndIncrement()));
        }
        if (daemon != null) {

				if !entry.isObject() {
					return
				}

				// `.usage-cache.bin` still exists, must be not readable ignore it.
				if bi.Name == minioMetaBucket && strings.Contains(entry.name, dataUsageCacheName) {
					// skipping bucket usage cache name, as its autogenerated.
					return
				}

				fivs, err := entry.fileInfoVersions(bi.Name)
				if err != nil {

        }
    }

    @Nested
    @DisplayName("Integration Pattern Tests")
    class IntegrationPatternTests {

        @Test
        @DisplayName("Should simulate usage in Smb2CreateResponse context")
        void testSimulatedUsagePattern() throws SMBProtocolDecodingException {
            // Simulate the pattern from Smb2CreateResponse

Das folgende sind technische Details, die Sie überspringen können, wenn sie für Sie nicht wichtig sind.

///

`RequestValidationError` ist eine Unterklasse von Pydantics <a href="https://pydantic-docs.helpmanual.io/usage/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.

////

//// tab | Pydantic v1

In Pydantic Version 1 würden Sie eine interne Klasse `Config` und `schema_extra` verwenden, wie beschrieben in <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Pydantic-Dokumentation: Schema customization</a>.

        }
      }
    } finally {
      if (interrupted) {
        Thread.currentThread().interrupt();
      }
    }
    return added;
  }

  /**
   * Returns a synchronized (thread-safe) queue backed by the specified queue. In order to guarantee
   * serial access, it is critical that <b>all</b> access to the backing queue is accomplished
   * through the returned queue.
   *