PatternRewriter& rewriter) const;

 public:
  LogicalResult matchAndRewrite(Conv2dOpTy op,
                                PatternRewriter& rewriter) const override;
};

template <typename Conv2dOpTy>
LogicalResult ConvertTFDilatedConvOp<Conv2dOpTy>::matchAndRewrite(
    Conv2dOpTy op, PatternRewriter& rewriter) const {
  if (!op.getResult().hasOneUse()) {

         */
        RENAME_ORIGINAL_DO_CALL("doCall", null, false, (clazz, methodData) -> {
            // A Closure implementation may have an abstract doCall method. It makes no sense to rewrite that.
            boolean isValidDoCallMethod = !methodData.isAbstract() && methodData.name.equals("doCall");
            String methodNameToVisit = isValidDoCallMethod ? "doCall$original" : methodData.name;

  // canonical.
  if (cluster_vals.size() == num_results) return failure();

  // Rewrite return op in the cluster.
  rewriter.setInsertionPoint(return_op);
  auto new_return =
      rewriter.replaceOpWithNewOp<tf_device::ReturnOp>(return_op, cluster_vals);

  // Rewrite the cluster op.
  rewriter.setInsertionPoint(op);
  auto new_op = rewriter.create<tf_device::ClusterOp>(

//     xy    matches x followed by y
//
//   If you accidentally use PCRE or POSIX extended regex features
//   not implemented by us, you will get a run-time failure.  In that
//   case, please try to rewrite your regular expression within the
//   above syntax.
//
//   This implementation is *not* meant to be as highly tuned or robust
//   as a compiled regex library, but should perform well enough for a

        assign_group->getLoc(), assign_group.getResult(0).getType(),
        group_size);
    auto const_group_key = rewriter.create<TF::ConstOp>(
        assign_group->getLoc(), assign_group.getResult(1).getType(), group_key);
    rewriter.replaceAllUsesWith(assign_group.getResult(0), const_group_size);
    rewriter.replaceAllUsesWith(assign_group.getResult(1), const_group_key);
    rewriter.eraseOp(assign_group);

        loc, GetI64ElementsAttr(new_broadcast_shape, &rewriter));

    auto new_broadcast_to_op = rewriter.create<TFL::BroadcastToOp>(
        loc, RankedTensorType::get(new_broadcast_shape, rewriter.getF32Type()),
        new_inner_reshape_op.getOutput(), new_broadcast_shape_value);

    // Create a new broadcast_op to replace the old broadcast_op.
    rewriter.replaceOp(tfl_broadcast_to_op, new_broadcast_to_op.getResult());

The editing flags specify a sequence of editing operations.

The -fmt flag reformats the go.work file without making other changes.
This reformatting is also implied by any other modifications that use or
rewrite the go.mod file. The only time this flag is needed is if no other
flags are specified, as in 'go work edit -fmt'.

The -godebug=key=value flag adds a godebug key=value line,

	go i.startReflector()
}

func (i *objectCacheItem) startReflector() {
	i.waitGroup.Wait()
	i.waitGroup.Add(1)
	defer i.waitGroup.Done()
	i.reflector.Run(i.stopCh)
}

// cacheStore is in order to rewrite Replace function to mark initialized flag
type cacheStore struct {
	cache.Store
	lock        sync.Mutex
	initialized bool
}

func (c *cacheStore) Replace(list []interface{}, resourceVersion string) error {

      g, slice, slice_inputs, cluster_name, &static_shaped_slice));
  ReplaceTensorFlowSliceWithStaticShapedSlice(g, slice, static_shaped_slice);
  return absl::OkStatus();
}

// Return true if `n` is a slice we should rewrite to have a static shape
// (i.e. have the output shape only depend on the "size" input).
absl::StatusOr<bool> ShouldRewriteSlice(Node* n) {
  if (n->type_string() != "Slice") {
    return false;
  }

			in: &networking.RegexRewrite{
				Match:   "^/service/([^/]+)(/.*)$",
				Rewrite: `\2/instance/\1`,
			},
			valid: true,
		},
		{
			name: "uriRegexRewrite missing match",
			in: &networking.RegexRewrite{
				Rewrite: `\2/instance/\1`,
			},
			valid: false,
		},
		{
			name: "uriRegexRewrite missing rewrite",
			in: &networking.RegexRewrite{
				Match: "^/service/([^/]+)(/.*)$",