private static final byte ISOLATABLE_TYPE = (byte) 0;
    private static final byte ARRAY_TYPE = (byte) 1;
    private static final byte OTHER_TYPE = (byte) 2;
    private static final byte NULL_TYPE = (byte) 3;

    private final IsolatableSerializer<?>[] isolatableSerializers = {
        new StringValueSnapshotSerializer(),
        new BooleanValueSnapshotSerializer(),
        new ShortValueSnapshotSerializer(),

	// IntType is equivalent to the CEL 'int' type which is a 64-bit signed int.
	IntType = NewSimpleTypeWithMinSize("int", cel.IntType, types.IntZero, MinNumberSize)

	// NullType is equivalent to the CEL 'null_type'.
	NullType = NewSimpleTypeWithMinSize("null_type", cel.NullType, types.NullValue, 4)

	// StringType is equivalent to the CEL 'string' type which is expected to be a UTF-8 string.

				"self.m.size() == 2",
				"'a' in self.m",
				"type(self.m['a']) == null_type", // null check using runtime type checking
				//"self.m['a'] == null",

				"self.l.size() == 2",
				"type(self.l[0]) == null_type",
				//"self.l[0] == null",

				"self.s.size() == 2",
				"type(self.s[0]) == null_type",
				//"self.s[0] == null",
			},
			errors: map[string]string{

				// We treat null fields as absent fields, not as null valued fields.
				// Note that this is different than how we treat nullable list items or map values.
				"type(self.setNullableStr) != null_type": 4,

				// a field that is set to null is treated the same as an absent field in validation rules
				"!has(self.setToNullNullableStr)": 2,
			},
		},
		{name: "null values in container types",

  const string& full_type() const { return full_type_; }
  const string& base_type() const { return base_type_; }
  const AttrValue& default_value() const { return default_value_; }
  const bool is_list() const { return is_list_; }

 private:
  explicit AttrSpec(const OpDef::AttrDef& attr_def);

  string name_;
  string description_;
  string full_type_;
  string base_type_;
  AttrValue default_value_;

  // can be used to set a FullTypeDef based on dtype in a derived class if
  // appropriate.
  virtual tensorflow::FullTypeDef FullType() const = 0;

  // The default debug string includes a shape, dtype and FullType.
  // Implementations are free to override it with something more informative.
  virtual std::string DebugString() const;

  AbstractTensorHandleKind getKind() const { return kind_; }

					Key:             "something",
					ValueExpression: "true",
				}},
			},
		},
		expectedError: `spec.auditAnnotations[0].valueExpression: Invalid value: "true": must evaluate to one of [string null_type]`,
	}, {
		name: "invalid auditAnnotations valueExpression",
		config: &admissionregistration.ValidatingAdmissionPolicy{
			ObjectMeta: metav1.ObjectMeta{
				Name: "config",
			},

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tWhm0JFMPJ5I"
      },
      "source": [
        "Copyright 2024 Google LLC.\n",
        "\n",
        "Licensed under the Apache License, Version 2.0 (the \"License\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RJcqTAlfPQjk"
      },
      "source": [

    return absl::StrCat("SetAttr", toUpperCamel(attr_.full_type()));
  } else {
    return absl::StrCat("SetAttr", toUpperCamel(attr_.base_type()), "List");
  }
}

std::vector<string> AttrView::SetterArgs() const {
  if (attr_.full_type() == "string") {
    return {AttrNameString(), VariableName(), VariableStrLen()};
  } else if (attr_.full_type() == "list(string)") {

  name_ = attr_def.name();
  description_ = attr_def.description();
  full_type_ = attr_def.type();
  default_value_ = attr_def.default_value();
  if (str_util::StartsWith(full_type_, "list(")) {
    is_list_ = true;
    // strip surrounding "list(%s)"
    base_type_ = full_type_.substr(5, full_type_.length() - 6);
  } else {
    is_list_ = false;
    base_type_ = full_type_;
  }
}

}  // namespace generator