class_docstr: Lazily import a module to avoid pulling in large deps, defer checks.
code: def __init__(
      self,
      local_name,
      parent_module_globals,
      name,
      on_first_access=None,
  ):
      self._local_name = local_name
      self._parent_module_globals = parent_module_globals
      self._on_first_access = on_first_access
  
      super(LazyLoader, self).__init__(name)
  
file_path: probability/tensorflow_probability/python/internal/lazy_loader.py
imports: import importlib
  import types
label_desc: Use image node_id 1 to create a new LazyLoader object from inherited base classes: types with example: obj = LazyLoader(local_name, parent_module_globals, name, on_first_access)