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;
};

		var p parser
		p.init("test.gox", strings.NewReader(test.typ), make(map[string]*types.Package))
		p.version = "v2"
		p.pkgname = test.id
		p.pkgpath = test.id
		p.maybeCreatePackage()
		typ := p.parseType(p.pkg)

		if p.tok != scanner.EOF {
			t.Errorf("expected full parse, stopped at %q", p.lit)
		}

		// interfaces must be explicitly completed
		if ityp, _ := typ.(*types.Interface); ityp != nil {

  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());

            super(ProjectDependency.class);
            this.instantiator = instantiator;
        }

        @Override
        protected DependencyConstraint parseType(ProjectDependency notation) {
            return instantiator.newInstance(DefaultProjectDependencyConstraint.class, notation);
        }
    }

        StringNotationParser(boolean versionIsRequired) {
            super(CharSequence.class);
            this.versionIsRequired = versionIsRequired;
        }

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

  static StringRef getDialectNamespace() { return "tf"; }

  // Overrides to redirect to tf_type dialect.
  Attribute parseAttribute(DialectAsmParser &parser, Type type) const override;
  Type parseType(DialectAsmParser &parser) const override;

  // Gradient attribute ("tf.gradient") in the list of NamedAttributes in a
  // function references to its gradient function. This attribute in TensorFlow

        super(Map.class);
    }

    @Override
    public void describe(DiagnosticsVisitor visitor) {
        visitor.candidate("Maps");
    }

    @Override
    public T parseType(Map values) throws UnsupportedNotationException {
        Map<String, Object> mutableValues = new HashMap<>(Cast.uncheckedNonnullCast(values));
        Set<String> missing = null;
        ConvertMethod convertMethod = null;

	cfg.Enable = env.Get(EnvEnable, kvs.GetWithDefault(Enable, DefaultKVS)) == config.EnableOn

	if d := env.Get(EnvBlockSize, kvs.GetWithDefault(BlockSize, DefaultKVS)); d != "" {
		objectSize, err := humanize.ParseBytes(d)
		if err != nil {
			return cfg, err
		}
		cfg.BlockSize = int64(objectSize)
	}

	cfg.Endpoint = env.Get(EnvEndpoint, kvs.GetWithDefault(Endpoint, DefaultKVS))

		return Config{}, err
	}

	cfg.Optimize = env.Get(OptimizeEnv, kvs.Get(Optimize))

	inlineBlockStr := env.Get(InlineBlockEnv, kvs.Get(InlineBlock))
	if inlineBlockStr != "" {
		inlineBlock, err := humanize.ParseBytes(inlineBlockStr)
		if err != nil {
			return cfg, err
		}
		if inlineBlock > 128*humanize.KiByte {

  for (auto &hook : GetAdditionalOperationHooks()) {
    hook.second(*this);
  }
}

TensorFlowDialect::~TensorFlowDialect() {
  delete fallback_effect_op_interface_;
}

Type TensorFlowDialect::parseType(DialectAsmParser &parser) const {
  StringRef spec = parser.getFullSymbolSpec();
  llvm::SMLoc loc = parser.getCurrentLocation();
  parser.emitError(
      loc, "tf dialect has no types, potentially meant !tf_type." + spec);