String[] sitemaps = robotsTxt.getSitemaps();
        assertTrue(sitemaps.length >= 3); // At least the valid ones should be parsed

        // Test NumericBot - various crawl-delay formats
        // Should handle edge cases gracefully
        assertTrue(robotsTxt.getCrawlDelay("NumericBot") >= 0);

        // Test TabBot - tab characters should be treated as whitespace
        assertFalse(robotsTxt.allows("/tab1/", "TabBot"));

    if (futures.isEmpty()) {
      handleAllCompleted();
      return;
    }

    // NOTE: If we ever want to use a custom executor here, have a look at CombinedFuture as we'll
    // need to handle RejectedExecutionException

    if (allMustSucceed) {
      // We need fail fast, so we have to keep track of which future failed so we can propagate
      // the exception immediately

                .execute()
                .actionGet(requestTimeout);
        return Arrays.stream(response.getHits().getHits()).map(SearchHit::getId).toArray(n -> new String[n]);
    };

    /**
     * A function to handle requests.
     */
    protected Function<Map<String, Object>, Long> requestHandler = params -> {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String[] ids = idFinder.apply(params);

        MockitoAnnotations.openMocks(this);

        // Create temporary directory for test state
        tempDir = Files.createTempDirectory("jcifs-test-handles");

        // Set system property for handle state directory
        System.setProperty("jcifs.smb.client.handleStateDirectory", tempDir.toString());

        when(mockContext.getConfig()).thenReturn(mockConfig);

          // or we could avoid inputstreamreader and use the decoder api directly
          // TODO(lukes): in a real implementation we would need to handle overflow conditions
          int maxChars = (int) (size.get().intValue() * cs.newDecoder().maxCharsPerByte());
          char[] buffer = new char[maxChars];
          int bufIndex = 0;
          int remaining = buffer.length;

        or hasattr(origin, "__pydantic_core_schema__")
        or hasattr(origin, "__get_pydantic_core_schema__")
    )


def field_annotation_is_scalar(annotation: Any) -> bool:
    # handle Ellipsis here to make tuple[int, ...] work nicely
    return annotation is Ellipsis or not field_annotation_is_complex(annotation)


def field_annotation_is_scalar_sequence(annotation: Union[type[Any], None]) -> bool:

import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;

/**
 * PasswordBasedExtractor is an abstract base class for extractors that can handle password-protected files.
 * It provides functionality to manage passwords for different file patterns using regular expressions.
 *
 * <p>The extractor supports two types of password management:
 * <ul>

            "The client does not have the necessary access rights to perform the requested function.", "Access is denied.",
            "The TID specified was invalid.", "The handle is invalid.", "The network name cannot be found.",
            "Not enough storage is available to process this command.", "The media is write protected.", "The device is not ready.",

            "The client does not have the necessary access rights to perform the requested function.", "Access is denied.",
            "The TID specified was invalid.", "The handle is invalid.", "The network name cannot be found.",
            "Not enough storage is available to process this command.", "The media is write protected.", "The device is not ready.",

                    default:
                        tokStarted = true;
                        tokBuf.append(tok.trim());
                        break;
                }
            }

            // Handle case where end of token stream and
            // still got data
            if ((!exit) && (tokStarted)) {
                retVal = tokBuf.toString();
            }
        }