* 2 - run connected
     * 3 - connected
     * 4 - error
     */
    int state = 0;

    String name = "Transport" + id++;
    Thread thread;
    TransportException te;

    /**
     * Map of pending requests to their corresponding responses.
     */
    protected HashMap response_map = new HashMap(4);

    /**
     * Creates a key for the specified request for response matching.
     *

            "CombinedFuture@\\w+\\[status=PENDING,"
                + " info=\\[futures=\\[SettableFuture@\\w+\\[status=PENDING],"
                + " SettableFuture@\\w+\\[status=PENDING]]]]");
    Integer integerPartial = 1;
    futureInteger.set(integerPartial);
    assertThat(futureResult.toString())
        .matches(
            "CombinedFuture@\\w+\\[status=PENDING,"

            "CombinedFuture@\\w+\\[status=PENDING,"
                + " info=\\[futures=\\[SettableFuture@\\w+\\[status=PENDING],"
                + " SettableFuture@\\w+\\[status=PENDING]]]]");
    Integer integerPartial = 1;
    futureInteger.set(integerPartial);
    assertThat(futureResult.toString())
        .matches(
            "CombinedFuture@\\w+\\[status=PENDING,"

     * @return the last access time
     */
    public long getLastAccessTime() {
        return lastAccessTime;
    }

    /**
     * Checks if the cache has pending changes
     * @return true if cache has changes
     */
    public boolean hasChanges() {
        return hasChanges;
    }

    /**
     * Get and increment inconsistency count
     *

2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

                throw new DictionaryException("Failed to write: " + line, e);
            }
        }

        /**
         * Commits the changes to the dictionary file.
         * If there is a pending new item, it is written to the file.
         *
         * @return The committed item, or null if no item was committed.
         * @throws DictionaryException if an I/O error occurs.
         */

    public void stopWatching(String directoryPath) {
        ChangeNotificationHandle handle = activeWatchers.remove(directoryPath);
        if (handle != null) {
            handle.setActive(false);
            // Cancel any pending notifications
            cancelNotification(handle);
            // Clean up failure count to prevent memory leak
            failureCounts.remove(directoryPath);
        }
    }

    /**

                throw new DictionaryException("Failed to write: " + line, e);
            }
        }

        /**
         * Commits the changes to the dictionary file.
         * If there is a pending new item, it is written to the file.
         *
         * @return The committed item, or null if no item was committed.
         * @throws DictionaryException if an I/O error occurs.
         */

   * tasks. Second, the returned list will always be empty, as any submitted task is considered to
   * have started execution. This applies also to tasks given to {@code invokeAll} or {@code
   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should

    int NT_STATUS_OBJECT_PATH_SYNTAX_BAD = 0xC000003b;
    /** The process cannot access the file because it is being used by another process */
    int NT_STATUS_SHARING_VIOLATION = 0xC0000043;
    /** The file is pending deletion */
    int NT_STATUS_DELETE_PENDING = 0xC0000056;
    /** There are currently no logon servers available to service the logon request */
    int NT_STATUS_NO_LOGON_SERVERS = 0xC000005e;