class_docstr: A helper for constructing the namespace open and close strings for a nested set of namespaces.
  
  e.g. for namespace_str torch::lazy,
  
  prologue:
  namespace torch {
  namespace lazy {
  
  epilogue:
  } // namespace lazy
  } // namespace torch
class_docstr_tok: ["A","helper","for","constructing","the","namespace","open","and","close","strings","for","a","nested","set","of","namespaces",".","e.g",".","for","namespace_str","torch",":",":lazy",",","prologue",":","namespace","torch","{","namespace","lazy","{","epilogue",":","}","\/\/","namespace","lazy","}","\/\/","namespace","torch"]
docstr: Return the namespace string from joining all the namespaces by "::" (hence no leading "::").
  Return default if namespace string is empty.
code: def get_cpp_namespace(self, default: str = "") -> str:
      """
      Return the namespace string from joining all the namespaces by "::" (hence no leading "::").
      Return default if namespace string is empty.
      """
      return self.cpp_namespace_ if self.cpp_namespace_ else default
  
imports: import contextlib
  import functools
  import hashlib
  import os
  import re
  import sys
  import textwrap
  from argparse import Namespace
  from dataclasses import fields, is_dataclass
  from enum import auto, Enum
  from typing import Any, Callable, Dict, Generic, Iterable, Iterator, List, Literal, NoReturn, Optional, Sequence, Set, Tuple, TypeVar, Union
  from typing_extensions import Self
  from torchgen.code_template import CodeTemplate
label_desc: Use image node_id 6 for calling the NamespaceHelper obj's underlying member method code with example usage: obj.get_cpp_namespace(default) and returns: unknown