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chore: import upstream snapshot with attribution
2026-07-13 12:49:20 +08:00

40 行
1.3 KiB
Python

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.
Copied from: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/util/lazy_loader.py
"""
# 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().__init__(name)
def _load(self):
# 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
# 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)