public void testString() {
    Random random = new Random();
    for (int i = 0; i < 100; i++) {
      byte[] bytes = new byte[64];
      random.nextBytes(bytes);
      String s = new String(bytes, UTF_16LE); // so all random strings are valid
      assertEquals(
          new Sink(4).putUnencodedChars(s).hash(),
          new Sink(4).putBytes(s.getBytes(UTF_16LE)).hash());
      assertEquals(

Notice that you can use Markdown inside of the descriptions, for example "login" will be shown in bold (**login**) and "fancy" will be shown in italics (_fancy_).

/// tip

You don't have to add metadata for all the tags that you use.

///

### Use your tags { #use-your-tags }

Use the `tags` parameter with your *path operations* (and `APIRouter`s) to assign them to different tags:

  }

  private void validate() {
    // Don't use checkState(), because we don't want the overhead of generating the error message
    // unless it's actually going to be used; validate() is called for all set method calls, so it
    // needs to be fast.
    // (We could instead generate the message once, when the set is created, but zero is better.)
    if (!validator.get()) {

@Experimental
public interface Parser {
    /**
     * Parses the given ParserRequest to create an {@link InvokerRequest}.
     * This method does interpret tool arguments.
     *
     * @param parserRequest the request containing all necessary information for parsing
     * @return the parsed invoker request. Caller must start by checking {@link InvokerRequest#parsingFailed()} as

/* Copyright 2021 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,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3

import assertk.all
import assertk.assertThat
import assertk.assertions.contains
import assertk.assertions.containsExactly
import assertk.assertions.doesNotContain
import assertk.assertions.isEqualTo
import assertk.assertions.isFalse

        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

    #
    #; isColumnNameCamelCase = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o projectPrefix: (NotRequired - Default '')
    #  If the value is 'Ld', all class names are 'LdXxx'.
    #  Basically you don't need this if you don't want the common prefix of class name.
    #
    #; projectPrefix = Ld
    # - - - - - - - - - -/