if w == 0 {
		return true
	}

	return false
}

// mustGetUUID - get a random UUID.
func mustGetUUID() string {
	u, err := uuid.NewRandom()
	if err != nil {
		logger.CriticalIf(GlobalContext, err)
	}

	return u.String()
}

// mustGetUUIDBytes - get a random UUID as 16 bytes unencoded.
func mustGetUUIDBytes() []byte {
	u, err := uuid.NewRandom()
	if err != nil {

        *   The random-number-generating ops in the `tf.random` module when the
            global random seed has not yet been set (via `tf.random.set_seed`).
            Throws `RuntimeError` from Python or `InvalidArgument` from C++
        *   `tf.compat.v1.get_seed` if the global random seed has not yet been
            set (via `tf.random.set_seed`). Throws `RuntimeError` from Python or

import java.io.DataOutput;
import java.io.IOException;
import java.net.MalformedURLException;
import java.net.UnknownHostException;

import jcifs.smb1.util.Encdec;

/**
 * This class provides random access to files stored on an SMB/CIFS network resource.
 * It implements the DataInput and DataOutput interfaces for reading and writing primitive
 * Java data types to the file.
 */

   * KeyPresentBehavior} decides which index is returned. If no elements compare as equal to the
   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.

        when(mockConfig.getMachineId()).thenReturn(testMachineId);
        when(mockConfig.getRandom()).thenReturn(mockRandom);
        when(mockContext.getConfig()).thenReturn(mockConfig);

        // Mock random for predictable salt generation
        doAnswer(invocation -> {
            byte[] buffer = invocation.getArgument(0);
            System.arraycopy(testSalt, 0, buffer, 0, Math.min(buffer.length, testSalt.length));

   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.HashMap based

     *
     * <p>Note that for a RegularImmutableSet with elements with truly random hash codes, contains
     * operations take expected O(1) time but with high probability take O(log n) for at least some
     * element. (https://en.wikipedia.org/wiki/Linear_probing#Analysis)
     *
     * <p>This method may return {@code true} even on truly random input, but {@code
     * ImmutableSetTest} tests that the probability of that is low.

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### 임의의 항목 { #a-random-item }

`data.items()`를 사용하면 각 딕셔너리 항목의 키와 값을 담은 튜플로 구성된 <dfn title="리스트, 세트 등처럼 for 루프로 순회할 수 있는 것">이터러블 객체</dfn>를 얻습니다.

이 이터러블 객체를 `list(data.items())`로 적절한 `list`로 변환합니다.

	payloadLength := messageLength - 4 - 4 - 4 - headerLength - 4
	return payloadLength
}

// continuationMessage - S3 periodically sends this message to keep the TCP connection open.
// These messages appear in responses at random. The client must detect the message type and process accordingly.
//
// Header specification:
// Continuation messages contain two headers, as follows:

 *       token attempt, one measure of the quality of a hash function is <i>how well</i> it succeeds
 *       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden