// 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"
      },
      {

	default:
		r := int64(*v.Int)
		if r < 0 {
			return -1, errBadLimitSpecified
		}
		return r, nil
	}
}

// EvalFrom evaluates the From clause on the input record. It only
// applies to JSON input data format (currently).
func (e *SelectStatement) EvalFrom(format string, input Record) ([]*Record, error) {
	if !e.selectAST.From.HasKeypath() {
		return []*Record{&input}, nil
	}
	_, rawVal := input.Raw()

   * if and only if {@code stream} was efficiently splittable and its underlying spliterator
   * reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
   * comes from a data structure supporting efficient indexed random access, typically an array or
   * list.
   *
   * <p>The order of the resulting stream is defined if and only if the order of the original stream
   * was defined.
   */

     * Only indices matching the specified target prefixes are rebuilt.
     * For each index: creates a backup, reindexes data, creates a new index, reindexes from backup,
     * atomically switches aliases, then cleans up old and backup indices.
     *
     * @param loadBulkData    whether to load default bulk data after rebuilding (using OpType.CREATE to skip existing documents)

    fun fetch() =
        fetchLatestAgpVersions().let { fetchedVersions ->
            updateProperties(fetchedVersions)
            updateCompatibilityDoc(fetchedVersions.latests)
        }

    private
    data class FetchedVersions(
        val latests: List<String>,
        val nightlyBuildId: String,
        val nightlyVersion: String,
        val aapt2Versions: List<String>,
        val buildToolsVersion: String
    )