}

    // This shows current behaviour, where the transform is executed even though the input artifact has not been created yet
    // This should become an error eventually
    def "executes transform immediately when required during task graph building"() {
        buildFile << declareAttributes() << withJarTasks() << """

		Name:      "errors_timeout",
		Help:      "Total number of drive timeout errors since server uptime",
		Type:      counterMetric,
	}
}

func getNodeDriveIOErrorsMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: driveSubsystem,
		Name:      "errors_ioerror",
		Help:      "Total number of drive I/O errors since server uptime",
		Type:      counterMetric,
	}
}

    differences between float and quantized activations, output
    logs, set differences to the output tensors, and throws an error if errors
    above tolerance exist. If log_if_failed = false, then it doesn't care about
    errors.
  }];

  let arguments = (ins
    TFL_TensorOf<[QI8, QUI8, QI16, F16, TFL_Quint8]>:$input,
    TFL_TensorOf<[F32]>:$ref,

    // Attributes

    a tf_executor.fetch into a sea of nodes consisting of TensorFlow Dialect ops by
    lifting such ops out of a tf_executor.graph's tf_executor.islands. If V1 control
    flow ops are present in a tf_executor.graph, an error will be returned.

    For example, the following:

    ```mlir
    func @my_fn(%arg0: tensor<i32>, %arg1: tensor<i32>) -> (tensor<i32>, tensor<i32>) {
      %graph_results:2 = tf_executor.graph {

}

// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.
func (in *PortStatus) DeepCopyInto(out *PortStatus) {
	*out = *in
	if in.Error != nil {
		in, out := &in.Error, &out.Error
		*out = new(string)
		**out = **in
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PortStatus.

}

// DeepCopyInto is an autogenerated deepcopy function, copying the receiver, writing into out. in must be non-nil.
func (in *PortStatus) DeepCopyInto(out *PortStatus) {
	*out = *in
	if in.Error != nil {
		in, out := &in.Error, &out.Error
		*out = new(string)
		**out = **in
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new PortStatus.

	case AFMOVS:
		return AOP_PFX_10_MLS(r, 0), AOP_IRR(48<<26, uint32(reg), uint32(base), 0)
	case AFMOVD:
		return AOP_PFX_10_MLS(r, 0), AOP_IRR(50<<26, uint32(reg), uint32(base), 0)
	}
	log.Fatalf("Error no pfxload for %v\n", a)
	return 0, 0
}

func pfxstore(a obj.As, reg int16, base int16, r uint32) (uint32, uint32) {
	switch a {
	case AMOVD:

    }

    interface NewInferenceError : KaFirDiagnostic<PsiElement> {
        override val diagnosticClass get() = NewInferenceError::class
        val error: String
    }

    interface OtherError : KaFirDiagnostic<PsiElement> {
        override val diagnosticClass get() = OtherError::class
    }

    interface IllegalConstExpression : KaFirDiagnostic<PsiElement> {

// by R bits, and repeated with period of 64, 32, 16, 8, 4, or 2.
// it is encoded in logical instructions with 3 bitfields
// N (1 bit) : R (6 bits) : S (6 bits), where
// N=1           -- period=64
// N=0, S=0xxxxx -- period=32
// N=0, S=10xxxx -- period=16
// N=0, S=110xxx -- period=8
// N=0, S=1110xx -- period=4
// N=0, S=11110x -- period=2
// R is the shift amount, low bits of S = n-1

    firDiagnostic: KtPsiDiagnostic,
    token: KaLifetimeToken,
) : KaAbstractFirDiagnostic<PsiElement>(firDiagnostic, token), KaFirDiagnostic.UnsupportedSuspendTest

internal class NewInferenceErrorImpl(
    override val error: String,
    firDiagnostic: KtPsiDiagnostic,
    token: KaLifetimeToken,
) : KaAbstractFirDiagnostic<PsiElement>(firDiagnostic, token), KaFirDiagnostic.NewInferenceError

internal class OtherErrorImpl(