# Code copied from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/util/lazy_loader.py"""A LazyLoader class."""from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import importlib
import types
class LazyLoader(types.ModuleType):"""Lazily import a module, mainly to avoid pulling in large dependencies. `contrib`, and `ffmpeg` are examples of modules that are large and not always needed, and this allows them to only be loaded when they are used. """
# The lint error here is incorrect.
def __init__(self, local_name, parent_module_globals, name): # pylint: disable=super-on-old-class
self._local_name= local_name
self._parent_module_globals= parent_module_globals
super(LazyLoader, self).__init__(name)
def _load(self):
# Import the target module andinsert it into the parent's namespace module = importlib.import_module(self.__name__) self._parent_module_globals[self._local_name] = module # 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
def __getattr__(self, item):
module = self._load()
return getattr(module, item)
def __dir__(self):
module = self._load()
return dir(module)