match TF Core/C++; i.e., a contiguous array of
        `tensorflow::tstring`/`TF_TString`s.
    *   C-API functions `TF_StringDecode`, `TF_StringEncode`, and
        `TF_StringEncodedSize` are no longer relevant and have been removed; see
        `core/platform/ctstring.h` for string access/modification in C.
    *   `tensorflow.python`, `tensorflow.core` and `tensorflow.compiler` modules

            } else {
                try {
                    dataStore.store(dataConfig, indexUpdateCallback, initParamMap);
                } catch (final Throwable e) {
                    logger.error("Failed to process a data crawling: {}", dataConfig.getName(), e);
                    ComponentUtil.getComponent(FailureUrlService.class).store(dataConfig, e.getClass().getCanonicalName(),

package org.codelibs.fess.app.web.api.admin.labeltype;

import static org.codelibs.core.stream.StreamUtil.stream;
import static org.codelibs.fess.app.web.admin.labeltype.AdminLabeltypeAction.getLabelType;

import java.util.List;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;

                return asStream(id).contentTypeOctetStream().stream(out -> {
                    try (final ByteArrayOutputStream baos = new ByteArrayOutputStream()) {
                        ComponentUtil.getSystemProperties().store(baos, id);
                        try (final InputStream in = new ByteArrayInputStream(baos.toByteArray())) {
                            out.write(in);
                        }
                    }
                });

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.service;

import java.util.List;

import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.KeyMatchPager;
import org.codelibs.fess.es.config.cbean.KeyMatchCB;

# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,
# > the core TensorFlow code will be built once for the host and once for the
# > target platform.
# See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation
build --distinct_host_configuration=false

type ConfigWriter struct {
	Stdout   io.Writer
	clusters *clusters.Wrapper
}

// EndpointCluster is used to store the endpoint and cluster
type EndpointCluster struct {
	address            string
	port               int
	cluster            string
	status             core.HealthStatus
	failedOutlierCheck bool
}

// Prime loads the clusters output into the writer ready for printing

import static org.codelibs.core.stream.StreamUtil.stream;

import java.util.ArrayList;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.lang.ThreadUtil;

    }

    public OptionalEntity<KuromojiItem> getKuromojiItem(final String dictId, final long id) {
        return getKuromojiFile(dictId).map(file -> file.get(id).get());
    }

    public void store(final String dictId, final KuromojiItem kuromojiItem) {
        getKuromojiFile(dictId).ifPresent(file -> {
            if (kuromojiItem.getId() == 0) {
                file.insert(kuromojiItem);
            } else {

import java.nio.file.Path;
import java.util.List;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.concurrent.CommonPoolUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.ElevateWordPager;
import org.codelibs.fess.app.service.ElevateWordService;