In general publishing dependencies to enforced platforms is a mistake: enforced platforms shouldn't be used for published components because they behave like forced dependencies and leak to consumers. This can result in hard to diagnose dependency resolution errors. If you did this intentionally you can disable this check by adding 'enforced-platform' to the suppressed validations of the :generateMetadataFileForMavenPublication task."""
    }

					NFS: &v1.NFSVolumeSource{Server: "localhost", Path: "/srv", ReadOnly: false},
				},
			}),
			expectedMountList: []string{"ro", "nfsvers=3", "fsid=100", "hard"},
			systemOptions:     []string{"fsid=100", "hard"},
		},
		"vol-with-sys-opts-with-dup": {
			volume: createVolumeSpecWithMountOption("good-mount-opts", "ro,nfsvers=3", v1.PersistentVolumeSpec{

	//
	// hard-coded extra key/value
	// - key: "foo"
	//   valueExpression: "'bar'"
	// This will result in an extra attribute - foo: ["bar"]
	//
	// hard-coded key, value copying claim value
	// - key: "foo"
	//   valueExpression: "claims.some_claim"
	// This will result in an extra attribute - foo: [value of some_claim]
	//
	// hard-coded key, value derived from claim value

  bool weight_only_quantization = false;

  // The minimum number of elements in a weights array required to apply
  // quantization. This is especially useful not to quantize small tensors as
  // it is hard to get performance benefits from them with quantization. Used
  // in MLIR dynamic range quantizer with int8 weight data type.
  int64_t minimum_elements_for_weights = 1024;

          required: false
          schema:
            type: string
            example: en
        - name: preference
          in: query
          description: String to specify a shard for searching
          required: false
          schema:
            type: string
            example: abc
        - name: callback
          in: query
          description: Callback name for using JSONP

    val server = serverListener.assertOpen()

    // Initiate a close on the client, which will schedule a hard cancel in 500 ms.
    val closeAtNanos = System.nanoTime()
    webSocket.close(1000, "goodbye", 500L)
    serverListener.assertClosing(1000, "goodbye")

    // Confirm that the hard cancel occurred after 500 ms.
    clientListener.assertFailure()
    val elapsedUntilFailure = System.nanoTime() - closeAtNanos

fun Project.isNativeProject() = name.contains("native")

/**
 * Whether the project supports running with predictive test selection.
 *
 * Our performance tests don't work with PTS, yet.
 * Smoke and soak tests are hard to grasp for PTS, that is why we run them without.
 * When running on Windows with PTS, SimplifiedKotlinScriptEvaluatorTest fails. See https://github.com/gradle/gradle-private/issues/3615.
 */

          - "!**/operator/**"
          - "!**/istioctl/**"
          - "!**/tools/bug-report/**"
          # This should only really import operator API, but that is hard to express without a larger refactoring
          - "!**/pkg/kube/**"
          - "!**/pkg/url/**"
          - "!**/pkg/test/framework/**"
          - "!**/tests/fuzz/**"
        deny:

    }

    public AbstractResolutionFailureException nonConsumableConfigurationFailure(
        String configurationName,
        ComponentIdentifier componentId
    ) {
        // We hard-code the exception here since we do not currently support dynamically describing this type of failure.
        // It might make sense to do this for other similar failures that do not have dynamic failure handling.

  // If non-zero, limits the size of the activations for a given table to
  // be below these many bytes.
  int64_t tf_xla_sparse_core_stacking_mem_limit_bytes;

  // If non-zero, limits the size of any table shard to be below these
  // many bytes.
  int64_t tf_xla_sparse_core_stacking_table_shard_limit_bytes;
};

// Flags associated with the XLA bridge's xla_device module.
struct XlaDeviceFlags {