:
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        update_docs_called(false) {
  }

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::ApiDefMap api_def_map TF_GUARDED_BY(lock);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

    return host;
  }

  /** Return true if this instance has a defined port. */
  public boolean hasPort() {
    return port >= 0;
  }

  /**
   * Get the current port number, failing if no port is defined.
   *
   * @return a validated port number, in the range [0..65535]
   * @throws IllegalStateException if no port is defined. You can use {@link #withDefaultPort(int)}
   *     to prevent this from occurring.

  ASSERT_EQ(TF_OK, code) << status_msg;
  TF_DeletePluggableDeviceLibraryHandle(lib);
#endif  // !defined(TENSORFLOW_NO_SHARED_OBJECTS)
#endif  // !defined(PLATFORM_WINDOWS)
}

TEST(CAPI_EXPERIMENTAL, LibraryNextPluggableDeviceLoadFunctions) {
  // TODO(penpornk): Enable this test on Windows.
#if !defined(PLATFORM_WINDOWS)
#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  // Load the library.
  TF_Status* status = TF_NewStatus();

	}
	return arm64.SPOP_END
}

// IsARM64ADR reports whether the op (as defined by an arm64.A* constant) is
// one of the comparison instructions that require special handling.
func IsARM64ADR(op obj.As) bool {
	switch op {
	case arm64.AADR, arm64.AADRP:
		return true
	}
	return false
}

// IsARM64CMP reports whether the op (as defined by an arm64.A* constant) is

   * comes from a data structure supporting efficient indexed random access, typically an array or
   * list.
   *
   * <p>The order of the resulting stream is defined if and only if the order of the original stream
   * was defined.
   */
  public static <T extends @Nullable Object, R extends @Nullable Object> Stream<R> mapWithIndex(
      Stream<T> stream, FunctionWithIndex<? super T, ? extends R> function) {

 * This class provides default values for all Java types, as defined by the JLS.
 *
 * @author Ben Yu
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Defaults {
  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code

HTTP/2 server now accepts client priority signals, as defined in RFC 9218,
allowing it to prioritize serving HTTP/2 streams with higher priority. If the
old behavior is preferred, where streams are served in a round-robin manner

 * This class provides default values for all Java types, as defined by the JLS.
 *
 * @author Ben Yu
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Defaults {
  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code

    }

    compileOnly(buildLibs.kotlinCompilerEmbeddable) {
        because("Required by KotlinSourceParser")
    }
    implementation(buildLibs.kgp) {
        because("For manually defined KotlinSourceSet accessor - sourceSets.main.get().kotlin")
    }

    testImplementation(testLibs.junit5JupiterEngine)

    testRuntimeOnly(testLibs.junitPlatform)
}

tasks.test {
    useJUnitPlatform()

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.