class_docstr: Lazily import a module, mainly to avoid pulling in large dependencies.
  
  We use this for tensorflow and other optional libraries primarily at the
  top module level.
docstr: Load the module and insert it into the parent's globals.
code: def _load(self):
      """Load the module and insert it into the parent's globals."""
      # Import the target module and insert it into the parent's namespace
      module = importlib.import_module(self.__name__)
      self._parent_module_globals[self._local_name] = module
      # print("import", self.__name__)
      # print("Set global", self._local_name)
      # print("mod", module)
      sys.modules[self._local_name] = module
  
      # Emit a warning if one was specified
      if self._warning:
          print(self._warning)
          # Make sure to only warn once.
          self._warning = None
  
      # Update this object's dict so that if someone keeps a reference to the
      #   LazyLoader, lookups are efficient (__getattr__ is only called on lookups
      #   that fail).
      self.__dict__.update(module.__dict__)
  
      return module
  
file_path: wandb/wandb/sdk/lib/lazyloader.py
imports: import importlib
  import sys
  import types
label_desc: Use image node_id 2 for calling the LazyLoader obj's underlying member method code with example usage: obj._load() and returns: module