*       one execution of an application to another execution of the same application.
   *   <li>It is <i>distributable across equivalence</i>: for any references {@code x} and {@code
   *       y}, if {@code equivalent(x, y)}, then {@code hash(x) == hash(y)}. It is <i>not</i>
   *       necessary that the hash be distributable across <i>inequivalence</i>. If {@code
   *       equivalence(x, y)} is false, {@code hash(x) == hash(y)} may still be true.

//	LAND/LXOR/LOR imm ',' rreg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	AND	$11, R17, R7	// 3227000b
	XOR	$341, R1, R23	// 38370155
	OR	$254, R25, R13	// 372d00fe
//
// move immediate: macro for lui+or, addi, addis, and other combinations
//
//	LMOVW imm ',' rreg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	MOVW	$1, R1
	MOVV	$1, R1

//	LMOVW ximm ',' rreg
//	{

    }

    @ParameterizedTest(name = "renew() {0}")
    @MethodSource("implementations")
    @DisplayName("renew() behaviors across implementations")
    void renewBehaviorsAcrossImplementations(String label, Supplier<SmbRenewableCredentials> supplier, boolean expectSame,
            boolean expectNew) {
        // Arrange: create an implementation instance

 * {@link QuantilesBenchmark}. These algorithms each calculate either a single quantile or multiple
 * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this
 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once

         * just one problem: We want to interoperate properly with the platform's built-in
         * implementation of TypeVariable, but the behavior of the built-in implementation differs
         * across platforms:
         *
         * - Under the JDK, the built-in TypeVariable's equals() method doesn't recognize instances
         *   of our TypeVariable implementation.
         *
         * - Under Android, it does.

    assertThat(forJavaName(CipherSuite.TLS_KRB5_WITH_DES_CBC_MD5.javaName))
      .isSameAs(CipherSuite.TLS_KRB5_WITH_DES_CBC_MD5)
  }

  /**
   * Tests that interned CipherSuite instances remain the case across garbage collections, even if
   * the String used to construct them is no longer strongly referenced outside of the CipherSuite.
   */
  @Test
  fun instancesAreInterned_survivesGarbageCollection() {

 * {@link org.apache.maven.model.building.ModelBuilder} will add any relevant repositories to the model resolver. In
 * other words, the model resolver is stateful and should not be reused across multiple model building requests.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ModelResolver {

    /**

    assertThat(original.interceptors.size).isEqualTo(0)
    assertThat(original.networkInterceptors.size).isEqualTo(0)
  }

  /**
   * When copying the client, stateful things like the connection pool are shared across all
   * clients.
   */
  @Test fun cloneSharesStatefulInstances() {
    val client = clientTestRule.newClient()

    // Values should be non-null.
    val a = client.newBuilder().build()

	FlagCRCxxh3 Flags = 1 << iota

	// FlagEOF the stream (either direction) is at EOF.
	FlagEOF

	// FlagStateless indicates the message is stateless.
	// This will retain clients across reconnections or
	// if sequence numbers are unexpected.
	FlagStateless

	// FlagPayloadIsErr can be used by individual ops to signify that
	// The payload is a string error converted to byte slice.

In the runtime package, assembly code can include <code>go_tls.h</code>, which defines
an OS- and architecture-dependent macro <code>get_tls</code> for accessing this register.
The <code>get_tls</code> macro takes one argument, which is the register to load the
<code>g</code> pointer into.
</p>

<p>
For example, the sequence to load <code>g</code> and <code>m</code>