

"""simple docstring"""
import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard

class        _UpperCamelCase	(						unittest.TestCase	):


  """simple docstring"""





  def 							_UpperCAmelCase      ( self					: Optional[Any]      )	->			str:


         '''simple docstring'''





         __magic_name__			:		Union[str, Any]        =     {
             '''model_details''': {
                 '''Organization''': '''testing''',
                 '''Model date''': '''today''',
                 '''Model version''': '''v2.1, Developed by Test Corp in 2019.''',
                 '''Architecture''': '''Convolutional Neural Network.''',
             },
             '''metrics''': '''BLEU and ROUGE-1''',
             '''evaluation_data''': {
                 '''Datasets''': {'''BLEU''': '''My-great-dataset-v1''', '''ROUGE-1''': '''My-short-dataset-v2.1'''},
                 '''Preprocessing''': '''See details on https://arxiv.org/pdf/1810.03993.pdf''',
             },
             '''training_data''': {
                 '''Dataset''': '''English Wikipedia dump dated 2018-12-01''',
                 '''Preprocessing''': (
                     '''Using SentencePiece vocabulary of size 52k tokens. See details on'''
                     ''' https://arxiv.org/pdf/1810.03993.pdf'''
                 ),
             },
             '''quantitative_analyses''': {'''BLEU''': 55.1, '''ROUGE-1''': 76},
         }



  def 							_UpperCAmelCase      ( self					: str      )	->			List[Any]:


         '''simple docstring'''





         __magic_name__			:		Dict        =     ModelCard.from_dict(self.inputs_dict      )
         self.assertTrue(hasattr(snake_case       ,       '''model_details'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''intended_use'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''factors'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''metrics'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''evaluation_data'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''training_data'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''quantitative_analyses'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''ethical_considerations'''      )      )
         self.assertTrue(hasattr(snake_case       ,       '''caveats_and_recommendations'''      )      )



  def 							_UpperCAmelCase      ( self					: List[Any]      )	->			Optional[int]:


         '''simple docstring'''





         __magic_name__			:		Tuple        =     ModelCard.from_dict(self.inputs_dict      )
         __magic_name__			:		Union[str, Any]        =     json.loads(modelcard.to_json_string()      )
         for key, value in self.inputs_dict.items():
                self.assertEqual(obj[key]       ,       snake_case      )



  def 							_UpperCAmelCase      ( self					: Optional[int]      )	->			Any:


         '''simple docstring'''





         __magic_name__			:		Optional[Any]        =     ModelCard.from_dict(self.inputs_dict      )

         with tempfile.TemporaryDirectory() as tmpdirname:
                __magic_name__			:		Optional[Any]        =     os.path.join(snake_case       ,       '''modelcard.json'''      )
                model_card_first.to_json_file(snake_case      )
                __magic_name__			:		List[str]        =     ModelCard.from_json_file(snake_case      )

         self.assertEqual(model_card_second.to_dict()       ,       model_card_first.to_dict()      )




  def 							_UpperCAmelCase      ( self					: Tuple      )	->			List[str]:


         '''simple docstring'''





         __magic_name__			:		List[Any]        =     ModelCard.from_dict(self.inputs_dict      )

         with tempfile.TemporaryDirectory() as tmpdirname:
                model_card_first.save_pretrained(snake_case      )
                __magic_name__			:		Optional[Any]        =     ModelCard.from_pretrained(snake_case      )

         self.assertEqual(model_card_second.to_dict()       ,       model_card_first.to_dict()      )





import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
UpperCamelCase__			=    "src/transformers"

# Matches is_xxx_available()
UpperCamelCase__			=    re.compile(R"is\_([a-z_]*)_available()")
# Matches from xxx import bla
UpperCamelCase__			=    re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
UpperCamelCase__			=    re.compile(R"^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)")


UpperCamelCase__			=    "\n{0} = None\n"

UpperCamelCase__			=    "\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n"


UpperCamelCase__			=    "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"






def 			UpperCAmelCase__     (     lowercase__ )			->   List[Any]:
						if _re_test_backend.search(lowercase__ ) is None:
												return None
						__lowercase											=					[b[0] for b in _re_backend.findall(lowercase__ )]
						backends.sort()
						return "_and_".join(lowercase__ )






def 			UpperCAmelCase__     (     )			->   Dict:
						with open(os.path.join(lowercase__    ,							"""__init__.py""" )    ,							"""r"""    ,							encoding="""utf-8"""    ,							newline="""\n""" ) as f:
												__lowercase											=					f.readlines()

						# Get to the point we do the actual imports for type checking
						__lowercase											=					0
						while not lines[line_index].startswith("""if TYPE_CHECKING""" ):
												line_index += 1

						__lowercase											=					{}
						# Go through the end of the file
						while line_index < len(lowercase__ ):
												# If the line is an if is_backend_available, we grab all objects associated.
												__lowercase											=					find_backend(lines[line_index] )
												if backend is not None:
																		while not lines[line_index].startswith("""    else:""" ):
																								line_index += 1
																		line_index += 1

																		__lowercase											=					[]
																		# Until we unindent, add backend objects to the list
																		while len(lines[line_index] ) <= 1 or lines[line_index].startswith(""" """ * 8 ):
																								__lowercase											=					lines[line_index]
																								__lowercase											=					_re_single_line_import.search(lowercase__ )
																								if single_line_import_search is not None:
																														objects.extend(single_line_import_search.groups()[0].split(""", """ ) )
																								elif line.startswith(""" """ * 12 ):
																														objects.append(line[12:-2] )
																								line_index += 1

																		__lowercase											=					objects
												else:
																		line_index += 1

						return backend_specific_objects






def 			UpperCAmelCase__     (     lowercase__    ,							lowercase__ )			->   int:
						if name.isupper():
												return DUMMY_CONSTANT.format(lowercase__ )
						elif name.islower():
												return DUMMY_FUNCTION.format(lowercase__    ,							lowercase__ )
						else:
												return DUMMY_CLASS.format(lowercase__    ,							lowercase__ )






def 			UpperCAmelCase__     (     lowercase__=None )			->   List[str]:
						if backend_specific_objects is None:
												__lowercase											=					read_init()
						# For special correspondence backend to module name as used in the function requires_modulename
						__lowercase											=					{}

						for backend, objects in backend_specific_objects.items():
												__lowercase											=					"""[""" + """, """.join(F"\"{b}\"" for b in backend.split("""_and_""" ) ) + """]"""
												__lowercase											=					"""# This file is autogenerated by the command `make fix-copies`, do not edit.\n"""
												dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
												dummy_file += "\n".join([create_dummy_object(lowercase__    ,							lowercase__ ) for o in objects] )
												__lowercase											=					dummy_file

						return dummy_files






def 			UpperCAmelCase__     (     lowercase__=False )			->   Optional[Any]:
						__lowercase											=					create_dummy_files()
						# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
						__lowercase											=					{"""torch""": """pt"""}

						# Locate actual dummy modules and read their content.
						__lowercase											=					os.path.join(lowercase__    ,							"""utils""" )
						__lowercase											=					{
						    backend: os.path.join(lowercase__    ,							F"dummy_{short_names.get(lowercase__    ,							lowercase__ )}_objects.py" )
						    for backend in dummy_files.keys()
						}

						__lowercase											=					{}
						for backend, file_path in dummy_file_paths.items():
												if os.path.isfile(lowercase__ ):
																		with open(lowercase__    ,							"""r"""    ,							encoding="""utf-8"""    ,							newline="""\n""" ) as f:
																								__lowercase											=					f.read()
												else:
																		__lowercase											=					""""""

						for backend in dummy_files.keys():
												if dummy_files[backend] != actual_dummies[backend]:
																		if overwrite:
																								print(
																								    F"Updating transformers.utils.dummy_{short_names.get(lowercase__    ,							lowercase__ )}_objects.py as the main "
																								    """__init__ has new objects.""" )
																								with open(dummy_file_paths[backend]    ,							"""w"""    ,							encoding="""utf-8"""    ,							newline="""\n""" ) as f:
																														f.write(dummy_files[backend] )
																		else:
																								raise ValueError(
																								    """The main __init__ has objects that are not present in """
																								    F"transformers.utils.dummy_{short_names.get(lowercase__    ,							lowercase__ )}_objects.py. Run `make fix-copies` "
																								    """to fix this.""" )


if __name__ == "__main__":
			UpperCamelCase__			=    argparse.ArgumentParser()
			parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
			UpperCamelCase__			=    parser.parse_args()

			check_dummies(args.fix_and_overwrite)





