






"""simple docstring"""





import argparse
from collections import defaultdict







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)					->	str:
    """simple docstring"""

    UpperCamelCase__         =    F'{file}_{class_name}_{test_name}'
    done_test[_id] += 1

    with open(SCREAMING_SNAKE_CASE ,	'r'					) as f:
        UpperCamelCase__         =    f.readlines()

    UpperCamelCase__         =    F'class {class_name}('
    UpperCamelCase__         =    F'{4 * " "}def {test_name}('
    UpperCamelCase__         =    F'{8 * " "}{correct_line.split()[0]}'
    UpperCamelCase__         =    F'{16 * " "}{correct_line.split()[0]}'
    UpperCamelCase__         =    False
    UpperCamelCase__         =    False
    UpperCamelCase__         =    False
    UpperCamelCase__         =    False
    UpperCamelCase__         =    0
    UpperCamelCase__         =    0

    UpperCamelCase__         =    []
    for line in lines:
        if line.startswith(SCREAMING_SNAKE_CASE					):
            UpperCamelCase__         =    True
        elif in_class and line.startswith(SCREAMING_SNAKE_CASE					):
            UpperCamelCase__         =    True
        elif in_class and in_func and (line.startswith(SCREAMING_SNAKE_CASE					) or line.startswith(SCREAMING_SNAKE_CASE					)):
            UpperCamelCase__         =    len(line.split(correct_line.split()[0]					)[0]					)
            count += 1

            if count == done_test[_id]:
                UpperCamelCase__         =    True

        if in_class and in_func and in_line:
            if ")" not in line:
                continue
            else:
                UpperCamelCase__         =    True

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

    with open(SCREAMING_SNAKE_CASE ,	'w'					) as f:
        for line in new_lines:
            f.write(SCREAMING_SNAKE_CASE					)







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE=None					)					->	str:
    """simple docstring"""

    if fail is not None:
        with open(SCREAMING_SNAKE_CASE ,	'r'					) as f:
            UpperCamelCase__         =    {l.strip() for l in f.readlines()}
    else:
        UpperCamelCase__         =    None

    with open(SCREAMING_SNAKE_CASE ,	'r'					) as f:
        UpperCamelCase__         =    f.readlines()

    UpperCamelCase__         =    defaultdict(SCREAMING_SNAKE_CASE					)
    for line in correct_lines:
        UpperCamelCase__       ,						UpperCamelCase__       ,						UpperCamelCase__       ,						UpperCamelCase__         =    line.split(';'					)
        if test_failures is None or "::".join([file, class_name, test_name]					) in test_failures:
            overwrite_file(SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)


if __name__ == "__main__":
  A__					: str=	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)
  A__					: int=	parser.parse_args()

  main(args.correct_filename, args.fail_filename)












"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


A__					: List[str]=	logging.get_logger(__name__)
class    __lowerCamelCase    (  _a  ):
   a      :				Optional[int] 						="""timm_backbone"""

   def __init__(					self ,				snake_case_=None ,				snake_case_=3 ,				snake_case_=True ,				snake_case_=True ,				snake_case_=None ,				**snake_case_ ,				)		->       Dict:
       super().__init__(**snake_case_      )
       UpperCamelCase__         =    backbone
       UpperCamelCase__         =    num_channels
       UpperCamelCase__         =    features_only
       UpperCamelCase__         =    use_pretrained_backbone
       UpperCamelCase__         =    True
       UpperCamelCase__         =    out_indices if out_indices is not None else (-1,)




