|||
        ),
        self.query(
          'Internal Errors',
          |||
            pilot_total_xds_internal_errors{}
          |||
        ),
        self.query(
          'Push Context Errors',
          |||
            pilot_xds_push_context_errors{}
          |||
        ),
      ],

      xdsConnections: [
        self.query(
          'Connections (client reported)',

      def has_reshape(self) -> bool:
        return self.has_bias() and self.bias_size != self.filters.shape[-1]

      @def_function.function
      def matmul(self, input_tensor: core.Tensor) -> Mapping[str, core.Tensor]:
        """Performs a matrix multiplication.

        Depending on self.has_bias and self.activation_fn, it may add a bias
        term or
        go through the activaction function.

        Args:

    simple(title, targets, desc=''):
      self.base(title, targets, desc)
      + options.legend.withCalcs([])
      + options.legend.withDisplayMode('list'),

    short(title, targets, desc=''):
      self.base(title, targets, desc)
      + timeSeries.standardOptions.withUnit('short')
      + timeSeries.standardOptions.withDecimals(0),

    seconds(title, targets, desc=''):
      self.base(title, targets, desc)

      }

  def test_static_range_quantization_by_default(self):
    model = self.SimpleModel()

    saved_model_save.save(model, self._input_saved_model_path)

    # Use default QuantizationOptions.
    converted_model = quantize_model.quantize(
        self._input_saved_model_path,
        representative_dataset=self._simple_model_data_gen(),
    )

    self.assertIsNotNone(converted_model)
    self.assertCountEqual(

    # So hist_mids[i] = (lower_bound + bin_width / 2) + bin_width * i
    first_mid = self._lower_bound + self._bin_width / 2
    last_mid = first_mid + (self._num_bins - 1) * self._bin_width
    self._hist_mids = np.linspace(first_mid, last_mid, self._num_bins)

  def _get_dequantized_hist_mids_after_quantize(
      self, quant_min: float, quant_max: float
  ) -> np.ndarray:

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

                public static int access_get_getMaxErrors(Task self) {
                    ${getDefaultDeprecation("Task", "maxErrors")}
                    return self.getMaxErrors().getOrElse(0);
                }

                public static void access_set_setMaxErrors(Task self, int arg0) {
                    ${getDefaultDeprecation("Task", "maxErrors")}
                    self.getMaxErrors().set(arg0);
                }
            }

        return self.modify(providerToDependency);
    }

    /**
     * Modifies a dependency.
     *
     * @param dependency dependency to modify
     * @return the modified dependency
     * @since 8.0
     */
    public static <D extends ModuleDependency> D call(DependencyModifier self, D dependency) {

	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;
    }