
import argparse
from collections import defaultdict

def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )		->						List[Any]:


  '''simple docstring'''






  lowercase__	: List[Any]     		=   F'{file}_{class_name}_{test_name}'
  done_test[_id] += 1

  with open(lowercase_			,			"""r""" ) as f:
    lowercase__	: Union[str, Any]     		=   f.readlines()

  lowercase__	: List[str]     		=   F'class {class_name}('
  lowercase__	: Optional[Any]     		=   F'{4 * " "}def {test_name}('
  lowercase__	: Any     		=   F'{8 * " "}{correct_line.split()[0]}'
  lowercase__	: Tuple     		=   F'{16 * " "}{correct_line.split()[0]}'
  lowercase__	: str     		=   False
  lowercase__	: List[Any]     		=   False
  lowercase__	: List[Any]     		=   False
  lowercase__	: Dict     		=   False
  lowercase__	: Tuple     		=   0
  lowercase__	: List[Any]     		=   0

  lowercase__	: Tuple     		=   []
  for line in lines:
    if line.startswith(lowercase_ ):
      lowercase__	: Optional[Any]     		=   True
    elif in_class and line.startswith(lowercase_ ):
      lowercase__	: Optional[int]     		=   True
    elif in_class and in_func and (line.startswith(lowercase_ ) or line.startswith(lowercase_ )):
      lowercase__	: Optional[Any]     		=   len(line.split(correct_line.split()[0] )[0] )
      count += 1

      if count == done_test[_id]:
        lowercase__	: int     		=   True

    if in_class and in_func and in_line:
      if ")" not in line:
        continue
      else:
        lowercase__	: Optional[int]     		=   True

    if in_class and in_func and in_line and insert_line:
      new_lines.append(F'{spaces * " "}{correct_line}' )
      lowercase__	: str     		=   False
    else:
      new_lines.append(lowercase_ )

  with open(lowercase_			,			"""w""" ) as f:
    for line in new_lines:
      f.write(lowercase_ )

def 		UpperCamelCase						(   lowercase_			,			lowercase_=None )		->						int:


  '''simple docstring'''






  if fail is not None:
    with open(lowercase_			,			"""r""" ) as f:
      lowercase__	: List[str]     		=   {l.strip() for l in f.readlines()}
  else:
    lowercase__	: int     		=   None

  with open(lowercase_			,			"""r""" ) as f:
    lowercase__	: Optional[Any]     		=   f.readlines()

  lowercase__	: Union[str, Any]     		=   defaultdict(lowercase_ )
  for line in correct_lines:
    lowercase__		,     lowercase__		,     lowercase__		,     lowercase__	: Tuple     		=   line.split(""";""" )
    if test_failures is None or "::".join([file, class_name, test_name] ) in test_failures:
      overwrite_file(lowercase_			,			lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )


if __name__ == "__main__":
     lowerCamelCase__     :		List[Any]        = argparse.ArgumentParser()
     parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
     parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
     lowerCamelCase__     :		Optional[int]        = parser.parse_args()

     main(args.correct_filename, args.fail_filename)








from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  Any	   =      ['image_processor', 'tokenizer']
 __lowerCAmelCase	:  Union[str, Any]	   =      'AutoImageProcessor'
 __lowerCAmelCase	:  int	   =      'AutoTokenizer'


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   super().__init__(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
   lowercase__	: Union[str, Any]     		=   self.image_processor


 def __call__(       self       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   if text is None and images is None:
     raise ValueError("""You have to specify either text or images. Both cannot be none.""")

   if text is not None:
     lowercase__	: List[str]     		=   self.tokenizer(SCREAMING_SNAKE_CASE_       ,	return_tensors=SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

   if images is not None:
     lowercase__	: Optional[int]     		=   self.image_processor(SCREAMING_SNAKE_CASE_       ,	return_tensors=SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

   if text is not None and images is not None:
     lowercase__	: Union[str, Any]     		=   image_features.pixel_values
     return encoding
   elif text is not None:
     return encoding
   else:
     return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE_)       ,	tensor_type=SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	*SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	*SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)



 @property
 def   lowercase__  (       self):


   '''simple docstring'''




   return ["input_ids", "attention_mask", "pixel_values"]






