.writeDecimalLong((address[3] and 0xff).toLong())
    .readUtf8()
}

/**
 * If this is an IP address, this returns the IP address in canonical form.
 *
 * Otherwise, this performs IDN ToASCII encoding and canonicalize the result to lowercase. For
 * example this converts `☃.net` to `xn--n3h.net`, and `WwW.GoOgLe.cOm` to `www.google.com`.
 * `null` will be returned if the host cannot be ToASCII encoded or if the result contains

     // var <- var - mom
     (TF_AssignSubVariableOp $var_resource, $mom_new)
   ]
   >;

// Same as DecomposeResourceApplyFtrlV2, with l2_shrinkage set to zero.
// TODO(kramm): Move this pattern to canonicalize.td?
def DecomposeResourceApplyFtrl : Pat<
  (TF_ResourceApplyFtrlOp $var, $accum, $linear, $grad, $lr, $l1, $l2,
     $lr_power, $use_locking, $multiply_linear_by_lr),

// RUN: tfr-opt %s -tfr-decompose -tfr-raise-to-tf -canonicalize -verify-diagnostics -split-input-file | FileCheck %s

//=================> User models, from GraphDef <====================

// CHECK-LABEL: my_identity
func.func @my_identity(%arg0: tensor<2x3xf32>) -> tensor<2x3xf32> {
  %0 = "tf.MyIdentity"(%arg0) : (tensor<2x3xf32>) -> tensor<2x3xf32>
  func.return %0 : tensor<2x3xf32>

// CHECK-NEXT: return %arg0 : tensor<2x3xf32>
}

	}
	warnings = append(warnings, podutil.GetWarningsForPod(ctx, newPod, nil)...)
	return warnings
}

// Canonicalize normalizes the object after validation.
func (podStrategy) Canonicalize(obj runtime.Object) {
}

// AllowCreateOnUpdate is false for pods.
func (podStrategy) AllowCreateOnUpdate() bool {
	return false
}

// RUN: tf-opt %s -pass-pipeline='builtin.module(func.func(canonicalize))' | FileCheck %s


// Test single graph with no outputs and one island is folded away.
// CHECK-LABEL: func @graph_with_no_outputs
// CHECK-SAME: (%[[ARG_0:[a-z0-9]*]]: tensor<i1>)
func.func @graph_with_no_outputs(%arg0 : tensor<i1>) {
  tf_executor.graph {
    %1:2 = tf_executor.island {
      %3 = "tf.opA"(%arg0) : (tensor<i1>) -> tensor<i1>

// ensure the optimization to 'comparing to zero' expressions of if-statements
// yield expected results.
// 32 rewriting rules are covered. At least two scenarios for "Canonicalize
// the order of arguments to comparisons", which helps with CSE, are covered.
// The tedious if-else structures are necessary to ensure all concerned rules
// and machine code sequences are covered.

func SetDefaults_Namespace(obj *v1.Namespace) {
	// we can't SetDefaults for nameless namespaces (generateName).
	// This code needs to be kept in sync with the implementation that exists
	// in Namespace Canonicalize strategy (pkg/registry/core/namespace)

	// note that this can result in many calls to feature enablement in some cases, but
	// we assume that there's no real cost there.
	if len(obj.Name) > 0 {

	if v == nil {
		bugLogIf(ctx, errInvalidArgument)
		return errInvalidArgument
	}

	nv := make(textproto.MIMEHeader, len(v))
	for k, kv := range v {
		// Canonicalize all headers, to remove any duplicates.
		nv[http.CanonicalHeaderKey(k)] = kv
	}

	// Save all supported headers.
	for _, supportedHeader := range supportedHeaders {

	}
	return getLangISO3(s)
}

// TODO language normalization as well as the AliasMaps could be moved to the
// higher level package, but it is a bit tricky to separate the generation.

func (id Language) Canonicalize() (Language, AliasType) {
	return normLang(id)
}

// normLang returns the mapped langID of id according to mapping m.
func normLang(id Language) (Language, AliasType) {

      expand_axis = (*mlir::cast<DenseElementsAttr>(const_op.getValue())
                          .getValues<APInt>()
                          .begin())
                        .getSExtValue();
      // Canonicalize axis. Some TF python functions, such as
      // `tf.nn.convolution`, use negative axis.
      if (expand_axis < 0) {
        // Always expand 3D input to 4D input.
        expand_axis += 4;
      }
    } else {