
'''simple docstring'''




import argparse
import os
import re


lowercase     :							Optional[Any]       						=     'src/transformers/models/auto'


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
lowercase     :							Optional[int]       						=     re.compile(R'[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict')
# re pattern that matches identifiers in mappings
lowercase     :							Union[str, Any]       						=     re.compile(R'\s*\(\s*"(\S[^"]+)"')







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__ = False		):




    '''simple docstring'''



    with open(snake_case__						,							'''r'''						,							encoding='''utf-8'''		) as f:
        A			:  Dict   =		f.read()

    A			:  str   =		content.split('''\n'''		)
    A			:  Tuple   =		[]
    A			:  str   =		0
    while line_idx < len(snake_case__		):
        if _re_intro_mapping.search(lines[line_idx]		) is not None:
            A			:  Any   =		len(re.search(R'''^(\s*)\S'''						,							lines[line_idx]		).groups()[0]		) + 8
            # Start of a new mapping!
            while not lines[line_idx].startswith(''' ''' * indent + '''('''		):
                new_lines.append(lines[line_idx]		)
                line_idx += 1

            A			:  Tuple   =		[]
            while lines[line_idx].strip() != "]":
                # Blocks either fit in one line or not
                if lines[line_idx].strip() == "(":
                    A			:  Dict   =		line_idx
                    while not lines[line_idx].startswith(''' ''' * indent + ''')'''		):
                        line_idx += 1
                    blocks.append('''\n'''.join(lines[start_idx : line_idx + 1]		)		)
                else:
                    blocks.append(lines[line_idx]		)
                line_idx += 1

            # Sort blocks by their identifiers
            A			:  Optional[Any]   =		sorted(snake_case__						,							key=lambda snake_case__		: _re_identifier.search(snake_case__		).groups()[0]		)
            new_lines += blocks
        else:
            new_lines.append(lines[line_idx]		)
            line_idx += 1

    if overwrite:
        with open(snake_case__						,							'''w'''						,							encoding='''utf-8'''		) as f:
            f.write('''\n'''.join(snake_case__		)		)
    elif "\n".join(snake_case__		) != content:
        return True







def 						lowerCAmelCase_							(  snake_case__ = False		):




    '''simple docstring'''



    A			:  Union[str, Any]   =		[os.path.join(snake_case__						,							snake_case__		) for f in os.listdir(snake_case__		) if f.endswith('''.py'''		)]
    A			:  Union[str, Any]   =		[sort_auto_mapping(snake_case__						,							overwrite=snake_case__		) for fname in fnames]

    if not overwrite and any(snake_case__		):
        A			:  Optional[Any]   =		[f for f, d in zip(snake_case__						,							snake_case__		) if d]
        raise ValueError(
            F'The following files have auto mappings that need sorting: {", ".join(snake_case__		)}. Run `make style` to fix'
            ''' this.'''		)


if __name__ == "__main__":
      lowercase     :							Union[str, Any]       						=     argparse.ArgumentParser()
      parser.add_argument('--check_only', action='store_true', help='Whether to only check or fix style.')
      lowercase     :							str       						=     parser.parse_args()

      sort_all_auto_mappings(not args.check_only)






'''simple docstring'''




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


lowercase     :							Any       						=     logging.get_logger(__name__)

lowercase     :							int       						=     {
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}





class 					A							(				__snake_case		):
     __magic_name__          =						'''timesformer'''





     def __init__(				self		,     SCREAMING_SNAKE_CASE=224		,     SCREAMING_SNAKE_CASE=16		,     SCREAMING_SNAKE_CASE=3		,     SCREAMING_SNAKE_CASE=8		,     SCREAMING_SNAKE_CASE=768		,     SCREAMING_SNAKE_CASE=12		,     SCREAMING_SNAKE_CASE=12		,     SCREAMING_SNAKE_CASE=3072		,     SCREAMING_SNAKE_CASE="gelu"		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.02		,     SCREAMING_SNAKE_CASE=1e-6		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE="divided_space_time"		,     SCREAMING_SNAKE_CASE=0		,     **SCREAMING_SNAKE_CASE		,     )					->							Tuple:






         """simple docstring"""






         super().__init__(**SCREAMING_SNAKE_CASE      )

         A			:  List[Any]   =		image_size
         A			:  List[str]   =		patch_size
         A			:  List[str]   =		num_channels
         A			:  str   =		num_frames

         A			:  Any   =		hidden_size
         A			:  Dict   =		num_hidden_layers
         A			:  Any   =		num_attention_heads
         A			:  Optional[Any]   =		intermediate_size
         A			:  Union[str, Any]   =		hidden_act
         A			:  Tuple   =		hidden_dropout_prob
         A			:  Optional[int]   =		attention_probs_dropout_prob
         A			:  Tuple   =		initializer_range
         A			:  List[Any]   =		layer_norm_eps
         A			:  Union[str, Any]   =		qkv_bias

         A			:  List[str]   =		attention_type
         A			:  Union[str, Any]   =		drop_path_rate




