return new NullRemovalListener<>();
  }

  /** Type-inferring factory method for creating a {@link QueuingRemovalListener}. */
  @J2ktIncompatible
  @GwtIncompatible // ConcurrentLinkedQueue
  static <K, V> QueuingRemovalListener<K, V> queuingRemovalListener() {
    return new QueuingRemovalListener<>();
  }

  /** Type-inferring factory method for creating a {@link CountingRemovalListener}. */

            false, false, false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnReading = cci("reading", "reading", null, null, String.class, "reading", null, false, false, false,
            "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

        // Test that the subcommand is properly set
        assertEquals(SmbComTransaction.TRANS2_FIND_FIRST2, response.getSubCommand());
    }

    @Test
    void testReadParametersWireFormat() {
        // Test reading parameters from a properly formatted buffer
        byte[] buffer = new byte[20];

        // Set up the buffer with test data
        // sid (2 bytes)
        buffer[0] = 0x01;
        buffer[1] = 0x00;

    checkNotClosed();
    // It turns out that creating a new String is usually as fast, or faster
    // than wrapping cbuf in a light-weight CharSequence.
    target.append(new String(cbuf, off, len));
  }

  /*
   * Override a few functions for performance reasons to avoid creating unnecessary strings.
   */

  @Override
  public void write(int c) throws IOException {

import jakarta.validation.constraints.Max;
import jakarta.validation.constraints.Min;
import jakarta.validation.constraints.Size;

/**
 * Form class for creating data store configurations.
 * Data configs allow administrators to set up crawling of various data sources
 * including databases, CSV files, and other structured data sources.
 */
public class CreateForm {

    /**

        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("segmentation", "segment");
        requestBody.put("reading", "reading");
        requestBody.put("pos", "pos");
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();

        assertEquals(expectedFlags, context.ntlmsspFlags);
    }

    @Test
    void testInitSecContext_state1_type1Message() throws Exception {
        // Test the first step of context initialization (creating Type 1 message)
        when(mockAuth.getDomain()).thenReturn(domain);
        NtlmContext context = new NtlmContext(mockAuth, true);
        byte[] type1Token = context.initSecContext(new byte[0], 0, 0);

 */
public class JobProcess {
    /**
     * The underlying system process.
     */
    protected Process process;

    /**
     * The thread that handles reading from the process input stream.
     */
    protected InputStreamThread inputStreamThread;

    /**
     * Constructs a new JobProcess with the specified process.
     * Uses the default buffer size and no output callback.

     *
     * @param startDirectory the directory to start discovery from
     * @return a map of Path to Document for all discovered POM files
     * @throws IOException if there's an error reading files
     * @throws DomTripException if there's an error parsing XML
     */
    public static Map<Path, Document> discoverPoms(Path startDirectory) throws IOException, DomTripException {

///

여기서는 Pydantic `Settings` 클래스 안에 config `env_file`을 정의하고, 사용하려는 dotenv 파일의 파일명을 값으로 설정합니다.

### `lru_cache`로 `Settings`를 한 번만 생성하기 { #creating-the-settings-only-once-with-lru-cache }

디스크에서 파일을 읽는 것은 보통 비용이 큰(느린) 작업이므로, 각 요청마다 읽기보다는 한 번만 수행하고 동일한 settings 객체를 재사용하는 것이 좋습니다.

하지만 매번 다음을 수행하면:

```Python
Settings()
```