code: 
  import unittest
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from unittest.mock import Mock, patch
  
  import diffusers.utils.hub_utils
  
  
  
  
  
  class    _snake_case      (  unittest.TestCase       ):
  
  
  
  
  
  
  
  			@patch("diffusers.utils.hub_utils.get_full_repo_name"	)
  			def     SCREAMING_SNAKE_CASE					(       self		,     _a	):
  				__magic_name__	:	Optional[int]			     =  "full_repo_name"
  				with TemporaryDirectory() as tmpdir:
  					# Dummy args values
  					__magic_name__	:	str			     =  Mock()
  					__magic_name__	:	List[Any]			     =  tmpdir
  					__magic_name__	:	Optional[Any]			     =  0
  					__magic_name__	:	str			     =  "hub_token"
  					__magic_name__	:	Dict			     =  "dataset_name"
  					__magic_name__	:	int			     =  0.01
  					__magic_name__	:	Dict			     =  100_000
  					__magic_name__	:	List[Any]			     =  10_000
  					__magic_name__	:	Tuple			     =  0.01
  					__magic_name__	:	int			     =  0.02
  					__magic_name__	:	Optional[Any]			     =  0.03
  					__magic_name__	:	Optional[Any]			     =  0.00_05
  					__magic_name__	:	Union[str, Any]			     =  0.00_00_01
  					__magic_name__	:	int			     =  1
  					__magic_name__	:	Tuple			     =  10
  					__magic_name__	:	Tuple			     =  0.0_01
  					__magic_name__	:	Any			     =  0.1
  					__magic_name__	:	str			     =  0.2
  					__magic_name__	:	Dict			     =  True
  
  					# Model card mush be rendered and saved
  					diffusers.utils.hub_utils.create_model_card(_a		,     model_name="model_name"	)
  					self.assertTrue((Path(_a	) / "README.md").is_file()	)
  
style_context: 
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  snake_case				:	Optional[int]							   =						{
      "configuration_mobilevitv2": [
          "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "MobileViTV2Config",
          "MobileViTV2OnnxConfig",
      ],
  }
  
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				snake_case				:	Optional[int]							   =						[
  				    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "MobileViTV2ForImageClassification",
  				    "MobileViTV2ForSemanticSegmentation",
  				    "MobileViTV2Model",
  				    "MobileViTV2PreTrainedModel",
  				]
  
  if TYPE_CHECKING:
  				from .configuration_mobilevitva import (
  				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  				    MobileViTVaConfig,
  				    MobileViTVaOnnxConfig,
  				)
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_mobilevitva import (
  								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    MobileViTVaForImageClassification,
  								    MobileViTVaForSemanticSegmentation,
  								    MobileViTVaModel,
  								    MobileViTVaPreTrainedModel,
  								)
  
  else:
  				import sys
  
  				snake_case				:	Tuple							   =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  