tensor_spec.TensorSpec((), dtypes.float32)
  ])
  def compute(self, a, b):
    return (a + self.x) * (b + self.y) / (self.child.z) + self.child.c


class ReferencesParent(module.Module):

  def __init__(self, parent):
    super(ReferencesParent, self).__init__()
    self.parent = parent
    self.my_variable = variables.Variable(3., name="MyVariable")


# Creates a cyclic object graph.

class ValidationException(Exception):
    def __init__(self, errors: Sequence[Any]) -> None:
        self._errors = errors

    def errors(self) -> Sequence[Any]:
        return self._errors


class RequestValidationError(ValidationException):
    def __init__(self, errors: Sequence[Any], *, body: Any = None) -> None:
        super().__init__(errors)
        self.body = body

     *
     * @param self the {@link MapProperty}
     * @param key the key
     * @param value the value or a {@link Provider} of the value
     */
    @SuppressWarnings("unchecked")
    public static <K, V> void putAt(MapProperty<K, V> self, K key, Object value) {
        if (value instanceof Provider<?>) {
            self.put(key, (Provider) value);
        } else {
            self.put(key, (V) value);
        }
    }

	auth authorizer.Authorizer
}

func (self *WantAuthorizerAdmission) SetAuthorizer(a authorizer.Authorizer) { self.auth = a }
func (self *WantAuthorizerAdmission) Admit(ctx context.Context, a admission.Attributes, o admission.ObjectInterfaces) error {
	return nil
}
func (self *WantAuthorizerAdmission) Handles(o admission.Operation) bool { return false }

    private final ClassLoaderSpec self;
    private final HierarchicalClassLoaderStructure parent;

    public HierarchicalClassLoaderStructure(ClassLoaderSpec self) {
        this(self, null);
    }

    public HierarchicalClassLoaderStructure(ClassLoaderSpec self, @Nullable HierarchicalClassLoaderStructure parent) {
        this.self = self;
        this.parent = parent;
    }

  namespace:
    var.query.new('namespace')
    + var.query.withDatasourceFromVariable(self.datasource)
    + var.query.queryTypes.withLabelValues(
      'namespace',
      'process_cpu_seconds_total{cluster=~"$%s"}' % self.cluster.name,
    )
    + var.query.withRefresh('time'),

  job:
    var.query.new('job')
    + var.query.withDatasourceFromVariable(self.datasource)
    + var.query.queryTypes.withLabelValues(
      'job',

# CHECK-SAME: tf.versions
# CHECK-SAME: bad_consumers
# CHECK-SAME: min_consumer
# CHECK-SAME: producer


class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()
    self.v42 = tf.Variable(42.0)
    self.c43 = tf.constant(43.0)

  # During serialization, the constants are given internal (non-user-accessible, non-semantically-load-bearing) exported names.

import unittest

import requests_mock

import productpage


class ApplianceTest(unittest.TestCase):

    def setUp(self):
        self.app = productpage.app.test_client()

    @requests_mock.Mocker()
    def test_header_propagation_reviews(self, m):
        """ Check that tracing headers are forwarded correctly """
        product_id = 0
        # Register expected headers with the mock. If the headers

                """
            ),
        ] = True,
    ):
        self.model = OpenIdConnectModel(
            openIdConnectUrl=openIdConnectUrl, description=description
        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")

                """
            ),
        ] = True,
    ):
        self.model: APIKey = APIKey(
            **{"in": APIKeyIn.query},  # type: ignore[arg-type]
            name=name,
            description=description,
        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]: