final boolean result = testClient.reindexConfigIndices(false, empty);

        assertTrue(result);
        assertEquals("No indices should be created with empty targets", 0, testClient.createdIndices.size());
        assertEquals("No reindex should occur with empty targets", 0, testClient.reindexPairs.size());
    }

    // ==========================================================================

common --config=v2

# Precompiling results in some action conflicts. Disable it for now until
# the problematic targets are fixed.
common --@rules_python//python/config_settings:precompile=force_disabled

# TF now has `cc_shared_library` targets, so it needs the experimental flag
# TODO(rostam): Remove when `cc_shared_library` is enabled by default
common --experimental_cc_shared_library

)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on

        if (!fessConfig.isLogNotificationEnabled()) {
            return "Log notification disabled.";
        }

        if (!fessConfig.hasNotification()) {
            return "No notification targets configured.";
        }

        final SearchEngineClient client = ComponentUtil.getSearchEngineClient();
        final String indexName = fessConfig.getIndexLogIndex() + ".notification_queue";

        fessConfig.hasNotification = false;
        ComponentUtil.setFessConfig(fessConfig);

        String result = logNotificationJob.execute();

        assertEquals("No notification targets configured.", result);
    }

    @Test
    public void test_formatDetails() {
        TestableLogNotificationJob testableJob = new TestableLogNotificationJob();

- About:
  - about/index.md
  - alternatives.md
  - history-design-future.md
  - benchmarks.md
  - management.md
- release-notes.md
markdown_extensions:
  material.extensions.preview:
    targets:
      include:
      - '*'
  abbr: null
  attr_list: null
  footnotes: null
  md_in_html: null
  tables: null
  toc:
    permalink: true
  pymdownx.betterem: null
  pymdownx.caret: null

    String getSchedulerTargetName();

    default boolean isSchedulerTarget(final String target) {
        if (StringUtil.isBlank(target)) {
            return true;
        }

        final String myName = getSchedulerTargetName();

        final String[] targets = target.split(",");
        for (String name : targets) {
            name = name.trim();

file.role.from.file=true
# Whether to get FTP roles from a file.
ftp.role.from.file=true

# backup

# Target files for index backup.
index.backup.targets=fess_basic_config.bulk,fess_config.bulk,fess_user.bulk,system.properties,fess.json,doc.json
# Target log files for index backup.
index.backup.log.targets=click_log.ndjson,favorite_log.ndjson,search_log.ndjson,user_info.ndjson
# Timeout for loading index backup logs.

### Major Features and Improvements

*   Add `is_cpu_target_available`, which indicates whether or not TensorFlow was built with support for a given CPU target. This can be useful for skipping target-specific tests if a target is not supported.

*   `tf.data`

    /**
     * Get the value for the key 'scheduler.target.name'. <br>
     * The value is, e.g.  <br>
     * comment: Target name for the scheduler.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getSchedulerTargetName();

    /**
     * Get the value for the key 'scheduler.target.name' as {@link Integer}. <br>
     * The value is, e.g.  <br>