// it. To preserve FIFO order and failure atomicity of rejected execution when the same
      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {

            }
        } catch (IOException e) {
            log.error("Failed to load persisted handles from directory: " + stateDirectory, e);
        }
    }

    /**
     * Get existing handle data for reconnection
     * @param path the file path
     * @return the file ID if available, null otherwise
     */
    public byte[] getExistingHandle(String path) {
        HandleInfo info = getHandleForReconnect(path);

        verify(transport).ensureConnected();
    }

    // Happy path: getDfsReferrals returns referral, verify arguments captured
    @Test
    @DisplayName("getDfsReferrals returns data and receives correct args")
    void getDfsReferrals_happy() throws Exception {
        when(transport.getDfsReferrals(any(), any(), any(), any(), anyInt())).thenReturn(referral);

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

		return
	}

	// 3. Compare generated key with decrypted key
	if subtle.ConstantTimeCompare(key.Plaintext, decryptedKey) != 1 {
		response.DecryptionErr = "The generated and the decrypted data key do not match"
		resp, err := json.Marshal(response)
		if err != nil {
			writeCustomErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInternalError), err.Error(), r.URL)
			return
		}

    "minio"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "All",
          "value": "$__all"
        },
        "label": "Data source",
        "name": "DS_PROMETHEUS",
        "options": [],
        "query": "prometheus",
        "refresh": 1,
        "regex": "",
        "type": "datasource"
      },
      {

import org.apache.logging.log4j.Logger;

/**
 * A thread that reads from an input stream line by line and maintains a buffer of recent lines.
 * This class provides functionality to read input stream data asynchronously,
 * optionally process each line with a callback function, and maintain a circular buffer
 * of recent lines for retrieval.
 */
public class InputStreamThread extends Thread {

    private int pageSize;

    /** The current page number. */
    private int currentPageNumber;

    /** The dictionary ID */
    public String id;

    /**
     * Clears all pagination data and resets to default values.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;

        if (StringUtil.isNotBlank(scriptType)) {
            return scriptType;
        }
        return Constants.DEFAULT_SCRIPT;
    }

    public enum ConfigType {
        WEB("W"), FILE("F"), DATA("D");

        private final String typePrefix;

        ConfigType(final String typePrefix) {
            this.typePrefix = typePrefix;
        }

        public String getTypePrefix() {

    }

    /**
     * Retrieves a specific crawling info log by ID.
     *
     * @param id the ID of the crawling info log to retrieve
     * @return JSON response containing the crawling info log data
     */
    // GET /api/admin/crawlinginfo/log/{id}
    @Execute
    public JsonResponse<ApiResult> get$log(final String id) {