code: def check_min_version(min_version):
      if version.parse(__version__) < version.parse(min_version):
          if "dev" in min_version:
              error_message = (
                  "This example requires a source install from HuggingFace diffusers (see "
                  "`https://huggingface.co/docs/diffusers/installation#install-from-source`),"
              )
          else:
              error_message = f"This example requires a minimum version of {min_version},"
          error_message += f" but the version found is {__version__}.\n"
          raise ImportError(error_message)
  
file_path: diffusers/src/diffusers/utils/__init__.py
imports: import os
  from packaging import version
  from ..None import __version__
  from .constants import CONFIG_NAME, DEPRECATED_REVISION_ARGS, DIFFUSERS_DYNAMIC_MODULE_NAME, FLAX_WEIGHTS_NAME, HF_MODULES_CACHE, HUGGINGFACE_CO_RESOLVE_ENDPOINT, MIN_PEFT_VERSION, ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, SAFETENSORS_WEIGHTS_NAME, USE_PEFT_BACKEND, WEIGHTS_NAME
  from .deprecation_utils import deprecate
  from .doc_utils import replace_example_docstring
  from .dynamic_modules_utils import get_class_from_dynamic_module
  from .export_utils import export_to_gif, export_to_obj, export_to_ply, export_to_video
  from .hub_utils import PushToHubMixin, _add_variant, _get_model_file, extract_commit_hash, http_user_agent
  from .import_utils import BACKENDS_MAPPING, DIFFUSERS_SLOW_IMPORT, ENV_VARS_TRUE_AND_AUTO_VALUES, ENV_VARS_TRUE_VALUES, USE_JAX, USE_TF, USE_TORCH, DummyObject, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_accelerate_available, is_accelerate_version, is_bs4_available, is_flax_available, is_ftfy_available, is_inflect_available, is_invisible_watermark_available, is_k_diffusion_available, is_k_diffusion_version, is_librosa_available, is_note_seq_available, is_onnx_available, is_peft_available, is_scipy_available, is_tensorboard_available, is_torch_available, is_torch_version, is_torch_xla_available, is_torchsde_available, is_transformers_available, is_transformers_version, is_unidecode_available, is_wandb_available, is_xformers_available, requires_backends
  from .loading_utils import load_image
  from .logging import get_logger
  from .outputs import BaseOutput
  from .peft_utils import check_peft_version, delete_adapter_layers, get_adapter_name, get_peft_kwargs, recurse_remove_peft_layers, scale_lora_layers, set_adapter_layers, set_weights_and_activate_adapters, unscale_lora_layers
  from .pil_utils import PIL_INTERPOLATION, make_image_grid, numpy_to_pil, pt_to_pil
  from .state_dict_utils import convert_all_state_dict_to_peft, convert_state_dict_to_diffusers, convert_state_dict_to_kohya, convert_state_dict_to_peft, convert_unet_state_dict_to_peft
label_desc: Use image node_id 1 for calling a global function with example usage: check_min_version(min_version) without return types