defer un(trace(p, "PointerType"))
	}

	star := p.expect(token.MUL)
	base := p.parseType()

	return &ast.StarExpr{Star: star, X: base}
}

func (p *parser) parseDotsType() *ast.Ellipsis {
	if p.trace {
		defer un(trace(p, "DotsType"))
	}

	pos := p.expect(token.ELLIPSIS)
	elt := p.parseType()

	return &ast.Ellipsis{Ellipsis: pos, Elt: elt}
}

type field struct {

      >();

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.cpp.inc"
      >();
}

// Parse a type registered to this dialect.
mlir::Type TensorflowMlrtDialect::parseType(
    mlir::DialectAsmParser &parser) const {
  llvm::StringRef keyword;
  if (parser.parseKeyword(&keyword)) return mlir::Type();

  if (keyword == "tensor") return TFTensorType::get(getContext());

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/tfrt_fallback.cpp.inc"
      >();
}

/// Parse a type registered to this dialect.
Type FallbackDialect::parseType(DialectAsmParser &parser) const {
  StringRef keyword;
  if (parser.parseKeyword(&keyword)) return Type();

  if (keyword == "tf_tensor") return TFTensorType::get(getContext());

func (b BatchJobSnowball) Validate() error {
	if *b.Batch <= 0 {
		return BatchJobYamlErr{
			line: b.line,
			col:  b.col,
			msg:  "batch number should be non positive zero",
		}
	}
	_, err := humanize.ParseBytes(*b.SmallerThan)
	if err != nil {
		return BatchJobYamlErr{
			line: b.line,
			col:  b.col,
			msg:  err.Error(),
		}
	}
	return nil
}

        this.moduleIdentifierFactory = moduleIdentifierFactory;
    }

    /**
     * Empty String for either group or module name is not allowed.
     */
    @Override
    protected ComponentSelector parseType(String notation) {
        assert notation != null;
        String[] split = notation.split(":");

        if (split.length < 2 || split.length > 3) {
            throw new UnsupportedNotationException(notation);

        StringNotationConverter() {
            super(String.class);
        }

        @Override
        protected ModuleComponentIdentifier parseType(String notation) {
            String[] parts = notation.split(":");
            if (parts.length != 3) {

  Operation *materializeConstant(OpBuilder &builder, Attribute value, Type type,
                                 Location loc) override;

  // Parse a type registered to this dialect.
  Type parseType(DialectAsmParser &parser) const override;

  // Prints a type registered to this dialect.
  void printType(Type ty, DialectAsmPrinter &os) const override;
};

}  // namespace TFR
}  // namespace mlir

		defer un(trace(p, "PointerType"))
	}

	star := p.expect(token.MUL)
	base := p.parseType()

	return &ast.StarExpr{star, base}
}

func (p *parser) tryVarType(isParam bool) ast.Expr {
	if isParam && p.tok == token.ELLIPSIS {
		pos := p.pos
		p.next()
		typ := p.tryIdentOrType(isParam) // don't use parseType so we can provide better error message
		if typ == nil {

 public:
  static StringRef getDialectNamespace() { return "tf_executor"; }
  explicit TensorFlowExecutorDialect(MLIRContext *context);

  // Parses a type registered to this dialect.
  Type parseType(DialectAsmParser &parser) const override;

  // Prints a type registered to this dialect.
  void printType(Type type, DialectAsmPrinter &os) const override;
};

  addOperations<
#define GET_OP_LIST
#include "tensorflow/compiler/mlir/tfrt/ir/mlrt/mlrt_ops.cpp.inc"
      >();
}

// Parse a type registered to this dialect.
mlir::Type MlrtDialect::parseType(mlir::DialectAsmParser &parser) const {
  llvm::StringRef keyword;
  if (parser.parseKeyword(&keyword)) return mlir::Type();

  if (keyword == "future") return FutureType::get(getContext());