Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.
Finally, we can set all of that under .Values so the chart behaves without awareness.
*/}}
{{- $defaults := $.Values.defaults }}
{{- $_ := unset $.Values "defaults" }}
{{- $profile := dict }}

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.
Finally, we can set all of that under .Values so the chart behaves without awareness.
*/}}
{{- $defaults := $.Values.defaults }}
{{- $_ := unset $.Values "defaults" }}
{{- $profile := dict }}

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.
Finally, we can set all of that under .Values so the chart behaves without awareness.
*/}}
{{- $defaults := $.Values.defaults }}
{{- $_ := unset $.Values "defaults" }}
{{- $profile := dict }}

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.
Finally, we can set all of that under .Values so the chart behaves without awareness.
*/}}
{{- $defaults := $.Values.defaults }}
{{- $_ := unset $.Values "defaults" }}
{{- $profile := dict }}

public abstract class Message {
    /**
     * Serialize the <code>message</code> onto the provided <code>outputStream</code>, replacing all {@link Throwable}s in the object graph with a placeholder object that can be read back by {@link
     * #receive(java.io.InputStream, ClassLoader)}.
     *
     * @param message object to serialize
     * @param outputSteam stream to serialize onto
     */

inline bool IsNonConstOp(Operation* op) {
  if (!op) return false;
  if (llvm::isa<arith::ConstantOp, mlir::func::ConstantOp>(op)) return false;
  if (op->hasTrait<OpTrait::ConstantLike>()) return false;
  if (llvm::isa<TFL::ConstOp, TFL::QConstOp>(op)) return false;
  return true;
}

// Returns true if 'op' is a terminator op, otherwise false.
bool IsTerminatorOp(Operation* op);

  explicit CastBf16OpsToF32(MLIRContext* context)
      : RewritePattern(MatchAnyOpTypeTag(), /*benefit=*/1, context) {}

 private:
  LogicalResult match(Operation* op) const override {
    if (isa<TF::CastOp, TF::ConstOp>(op) ||
        op->getName().hasTrait<OpTrait::ZeroOperands>()) {
      return failure();
    }
    for (Value input : op->getOperands()) {
      if (getElementTypeOrSelf(input).isBF16()) {
        return success();

	tests := []struct {
		name           string
		wantOutputFile string
		callPrime      bool
		wantErr        bool
	}{
		{
			name:           "returns expected bootstrap dump from Envoy onto Stdout",
			callPrime:      true,
			wantOutputFile: "testdata/bootstrapdump.json",
		},
		{
			name:    "errors if config dump is not primed",
			wantErr: true,
		},
	}
	for _, tt := range tests {

      auto qcast = b.create<quantfork::QuantizeCastOp>(
          q.getLoc(), q.getOutput().getType(), q.getInput());
      q.getOutput().replaceAllUsesWith(qcast);
      q.erase();
    } else if (auto q = llvm::dyn_cast<ConstOp>(op)) {
      auto value = q.getValue();
      auto type = q.getResult().getType();
      if (arith::ConstantOp::isBuildableWith(value, type)) {
        auto c = b.create<arith::ConstantOp>(q.getLoc(), q.getValue());

          tensorflow::io::JoinPath(saved_model_dir, asset_filename);
      ShapedType shaped_type =
          RankedTensorType::get({1}, TF::StringType::get(builder.getContext()));
      auto const_op = builder.create<TF::ConstOp>(
          asset.getLoc(),
          DenseStringElementsAttr::get(shaped_type, {filename}));
      for (auto init_op : init_table_from_text_file_ops_to_erase) {