* iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> to concatenate an arbitrary number of streams, use {@code
   * Stream.of(stream1, stream2, ...).flatMap(s -> s)}. If the sources are iterables, use {@code
   * Stream.of(iter1, iter2, ...).flatMap(Streams::stream)}.
   *
   * @throws NullPointerException if any of the provided iterables is {@code null}
   * @since 20.0

   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> to concatenate an arbitrary number of streams, use {@code
   * Stream.of(stream1, stream2, ...).flatMap(s -> s)}. If the sources are iterables, use {@code
   * Stream.of(iter1, iter2, ...).flatMap(Streams::stream)}.
   *
   * @throws NullPointerException if any of the provided iterables is {@code null}
   * @since 20.0

  /**
   * Copies all bytes from the input stream to the output stream. Does not close or flush either
   * stream.
   *
   * <p><b>Java 9 users and later:</b> this method should be treated as deprecated; use the
   * equivalent {@link InputStream#transferTo} method instead.
   *
   * @param from the input stream to read from
   * @param to the output stream to write to
   * @return the number of bytes copied

   *
   * <p><b>Note:</b> on Java 8+, it is usually better to use streams. For example:
   *
   * {@snippet :
   * import static com.google.common.collect.ImmutableMap.toImmutableMap;
   * ...
   * ImmutableMap<Color, String> colorNames =
   *     allColors.stream().collect(toImmutableMap(c -> c, c -> c.toString()));
   * }
   *

   *
   * <p><b>Note:</b> on Java 8+, it is usually better to use streams. For example:
   *
   * {@snippet :
   * import static com.google.common.collect.ImmutableMap.toImmutableMap;
   * ...
   * ImmutableMap<Color, String> colorNames =
   *     allColors.stream().collect(toImmutableMap(c -> c, c -> c.toString()));
   * }
   *

        now allowed (except for
        `tf.distribute.experimental.CentralStorageStrategy` and
        `tf.distribute.experimental.ParameterServerStrategy`). Different
        replicas will get different random-number streams.
*   TPU embedding support
    *   Added `profile_data_directory` to `EmbeddingConfigSpec` in
        `_tpu_estimator_embedding.py`. This allows embedding lookup statistics

        }
        return list.stream().map(p -> {
            final String key = p.getFirst();
            if (StringUtil.isEmpty(key) || userBean
                    .map(user -> stream(user.getRoles()).get(stream -> stream.anyMatch(s -> (ROLE_VALUE_PREFIX + s).equals(key)))
                            || stream(user.getGroups()).get(stream -> stream.anyMatch(s -> (GROUP_VALUE_PREFIX + s).equals(key))))

 */
package org.codelibs.fess.app.web.admin.dataconfig;

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

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

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

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

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

import java.util.stream.Collectors;
import java.util.stream.Stream;

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

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

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

import java.util.stream.Collectors;
import java.util.stream.Stream;

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