### Target language

Translate to Ukrainian (українська).

Language code: uk.

### Grammar and tone

1) Use polite/formal address consistent with existing Ukrainian docs (use “ви/ваш”).
2) Keep the tone concise and technical.

### Headings

1) Follow existing Ukrainian heading style; keep headings short and instructional.
2) Do not add trailing punctuation to headings.

### Quotes

      .assertLogEqual("Content-Encoding: br")
      .assertLogEqual("Content-Type: text/plain; charset=utf-8")
      .assertLogMatch(Regex("""Content-Length: \d+"""))
      .assertLogEqual("<-- END HTTP (encoded body omitted)")
      .assertNoMoreLogs()
    applicationLogs
      .assertLogEqual("--> GET $url")
      .assertLogEqual("--> END GET")
      .assertLogMatch(Regex("""<-- 200 OK $url \(\d+ms\)"""))

 with its <<<DefaultArtifact>>> implementation ({{{./xref/org/apache/maven/artifact/DefaultArtifact.html}source}}).

 The jar file is executable and provides a little tool to display how Maven parses and compares versions:

+----+
$ java -jar maven-artifact-*.jar 3.2.4-alpha-1 3.2.4-SNAPSHOT 3.2.4.0
Display parameters as parsed by Maven (in canonical form) and comparison result:

            verify(mockBuffer).enc_ndr_small(DcerpcConstants.RPC_C_PF_BROADCAST); // flags
            verify(mockBuffer).enc_ndr_long(0x00000010); // Little-endian / ASCII / IEEE
            verify(mockBuffer).enc_ndr_short(message.length);
            verify(mockBuffer, times(1)).enc_ndr_short(0); // auth_value length
            verify(mockBuffer).enc_ndr_long(message.call_id);

/**
 * @author Jesse Wilson
 */
final class Platform {
  static CharMatcher precomputeCharMatcher(CharMatcher matcher) {
    // CharMatcher.precomputed() produces CharMatchers that are maybe a little
    // faster (and that's debatable), but definitely more memory-hungry. We're
    // choosing to turn .precomputed() into a no-op in GWT, because it doesn't
    // seem to be a worthwhile tradeoff in a browser.

//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter
//tensorflow/lite/python:interpreter_test
//tensorflow/lite/python:interpreter.py

          // For convenience, testing only with big endianness, to match DataOutputStream.
          // I regard highly unlikely that both the little endianness tests above and this one
          // passes, and there is still a little endianness bug lurking around.
        }
      }

      Control control = new Control();
      Hasher controlSink = control.newHasher(1024);

}

[data-termynal]:before {
    content: '';
    position: absolute;
    top: 15px;
    left: 15px;
    display: inline-block;
    width: 15px;
    height: 15px;
    border-radius: 50%;
    /* A little hack to display the window buttons in one pseudo element. */
    background: #d9515d;
    -webkit-box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
            box-shadow: 25px 0 0 #f4c025, 50px 0 0 #3ec930;
}

   * {@code int} value, interpreted in little-endian byte order. The implementation <i>might</i>
   * perform better than its longhand equivalent, but should not perform worse.
   *
   * @since 12.0
   */
  HashCode hashInt(int input);

  /**
   * Shortcut for {@code newHasher().putLong(input).hash()}; returns the hash code for the given
   * {@code long} value, interpreted in little-endian byte order. The implementation <i>might</i>

   * {@code int} value, interpreted in little-endian byte order. The implementation <i>might</i>
   * perform better than its longhand equivalent, but should not perform worse.
   *
   * @since 12.0
   */
  HashCode hashInt(int input);

  /**
   * Shortcut for {@code newHasher().putLong(input).hash()}; returns the hash code for the given
   * {@code long} value, interpreted in little-endian byte order. The implementation <i>might</i>