assertThat(a.dispatcher).isNotNull()
    assertThat(a.connectionPool).isNotNull()
    assertThat(a.sslSocketFactory).isNotNull()
    assertThat(a.x509TrustManager).isNotNull()

    // Multiple clients share the instances.
    val b = client.newBuilder().build()
    assertThat(b.dispatcher).isSameAs(a.dispatcher)
    assertThat(b.connectionPool).isSameAs(a.connectionPool)

		// Default case of two ips one with higher octet moves
		// to the beginning of the list.
		{
			ipList:       []string{"127.0.0.1", "10.0.0.13"},
			sortedIPList: []string{"10.0.0.13", "127.0.0.1"},
		},
		// With multiple types of octet, chooses a higher octet.
		{
			ipList:       []string{"127.0.0.1", "172.0.21.1", "192.168.1.106"},
			sortedIPList: []string{"192.168.1.106", "172.0.21.1", "127.0.0.1"},
		},

   *         .putAll("several", 1, 2, 3)
   *         .putAll("many", 1, 2, 3, 4, 5)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple multimaps in series. Each multimap contains the key-value mappings in the previously
   * created multimaps.
   *
   * @since 2.0
   */
  @DoNotMock
  public static class Builder<K, V> {

* L'apprentissage profond (ou **Deep Learning**) : est un sous-domaine du **Machine Learning**, donc les mêmes raisons s'appliquent. Avec la différence qu'il n'y a pas une unique feuille de calcul de nombres à multiplier, mais une énorme quantité d'entre elles, et dans de nombreux cas, on utilise un processeur spécial pour construire et / ou utiliser ces modèles.

### Concurrence + Parallélisme : Web + Machine Learning

     * this client silently recovers from the following problems:
     *
     * * **Unreachable IP addresses.** If the URL's host has multiple IP addresses,
     *   failure to reach any individual IP address doesn't fail the overall request. This can
     *   increase availability of multi-homed services.
     *

        assertEquals(SmbComTransaction.TRANS_WAIT_NAMED_PIPE, transWaitNamedPipe.getSubCommand());
    }

    @Test
    @DisplayName("Multiple wire format operations should be consistent")
    void testMultipleWireFormatOperations() {
        // Arrange
        transWaitNamedPipe = new TransWaitNamedPipe(mockConfig, testPipeName);

    val name = headers.name(i)
    val value = headers.value(i)

    when {
      name.equals("Cache-Control", ignoreCase = true) -> {
        if (headerValue != null) {
          // Multiple cache-control headers means we can't use the raw value.
          canUseHeaderValue = false
        } else {
          headerValue = value
        }
      }
      name.equals("Pragma", ignoreCase = true) -> {

	"time"
)

// A LRWMutex is a mutual exclusion lock with timeouts.
type LRWMutex struct {
	id          string
	source      string
	isWriteLock bool
	ref         int
	mu          sync.Mutex // Mutex to prevent multiple simultaneous locks
}

// NewLRWMutex - initializes a new lsync RW mutex.
func NewLRWMutex() *LRWMutex {
	return &LRWMutex{}
}

// Lock holds a write lock on lm.
//

   *         .putAll("several", 1, 2, 3)
   *         .putAll("many", 1, 2, 3, 4, 5)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple multimaps in series. Each multimap contains the key-value mappings in the previously
   * created multimaps.
   *
   * @since 2.0
   */
  @DoNotMock
  public static class Builder<K, V> {

    if not fields:
        return False
    # More than one dependency could have the same field, it would show up as multiple
    # fields but it's the same one, so count them by name
    body_param_names_set = {field.name for field in fields}
    # A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1:
        return True
    first_field = fields[0]