* TreeTraverser<NodeType> traverser = TreeTraverser.using(node -> node.getChildNodes());
 * }
 *
 * @author Louis Wasserman
 * @since 15.0
 * @deprecated Use {@link com.google.common.graph.Traverser} instead. All instance methods have
 *     their equivalent on the result of {@code Traverser.forTree(tree)} where {@code tree}
 *     implements {@code SuccessorsFunction}, which has a similar API as {@link #children} or can be

    if match is found, the toolchain instance is made available to other Maven plugins.</p>
    <p>With {@code jdk} toolchain, for example, instead of being stuck with the JDK used to run Maven, all plugins can use
    the same other JDK instance without hardcoding absolute paths into the {@code pom.xml}
    and without configuring every plugin that require path to JDK tools.</p>

# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

     */
    @Override
    public int getCount(final String sessionId) {
        return getCount(builder -> builder.setQuery(QueryBuilders.termQuery(SESSION_ID, sessionId)));
    }

    /**
     * Deletes all access results for a specific session.
     *
     * @param sessionId The session ID.
     */
    @Override
    public void delete(final String sessionId) {
        deleteBySessionId(sessionId);
    }

   * |---------|
   * }
   */
  private static final SuccessorsFunction<Character> TWO_CYCLES_GRAPH =
      createDirectedGraph("ab", "ac", "bc", "cd", "da");

  /**
   * A tree-shaped graph that looks as follows (all edges are directed facing downwards):
   *
   * {@snippet :
   *        h
   *       /|\
   *      / | \
   *     /  |  \
   *    d   e   g
   *   /|\      |
   *  / | \     |
   * a  b  c    f

   * |---------|
   * }
   */
  private static final SuccessorsFunction<Character> TWO_CYCLES_GRAPH =
      createDirectedGraph("ab", "ac", "bc", "cd", "da");

  /**
   * A tree-shaped graph that looks as follows (all edges are directed facing downwards):
   *
   * {@snippet :
   *        h
   *       /|\
   *      / | \
   *     /  |  \
   *    d   e   g
   *   /|\      |
   *  / | \     |
   * a  b  c    f

     */
    @Nonnull
    Session withRemoteRepositories(@Nonnull List<RemoteRepository> repositories);

    /**
     * Register the given listener which will receive all events.
     *
     * @param listener the listener to register
     * @throws NullPointerException if {@code listener} is null
     */
    void registerListener(@Nonnull Listener listener);

    /**

        return now + days * Constants.ONE_DAY_IN_MILLIS;
    }

    /**
     * Retrieves all crawling information parameters for the specified session as a map.
     *
     * @param sessionId the session ID to retrieve parameters for
     * @return a map containing all key-value parameter pairs for the session
     */
    public Map<String, String> getInfoMap(final String sessionId) {

      int k, Comparator<? super T> comparator) {
    return least(k, comparator.reversed());
  }

  /**
   * Returns a comparator of {@link Optional} values which treats {@link Optional#empty} as less
   * than all other values, and orders the rest using {@code valueComparator} on the contained
   * value.
   *
   * @since 22.0 (but only since 33.4.0 in the Android flavor)
   */

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could