





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase:	int = logging.get_logger(__name__)

__UpperCamelCase:	Any = {
    """facebook/data2vec-vision-base-ft""": (
        """https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json"""
    ),
}


class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				"data2vec-vision"

	def __init__(						self:						Dict,					lowerCamelCase_:						Optional[int]=768,					lowerCamelCase_:						str=12,					lowerCamelCase_:						str=12,					lowerCamelCase_:						Any=3072,					lowerCamelCase_:						Any="gelu",					lowerCamelCase_:						Union[str, Any]=0.0,					lowerCamelCase_:						List[Any]=0.0,					lowerCamelCase_:						Tuple=0.0_2,					lowerCamelCase_:						Optional[Any]=1E-12,					lowerCamelCase_:						Any=224,					lowerCamelCase_:						List[Any]=16,					lowerCamelCase_:						Union[str, Any]=3,					lowerCamelCase_:						str=False,					lowerCamelCase_:						Optional[Any]=False,					lowerCamelCase_:						Optional[Any]=False,					lowerCamelCase_:						Any=False,					lowerCamelCase_:						Union[str, Any]=0.1,					lowerCamelCase_:						Tuple=0.1,					lowerCamelCase_:						str=True,					lowerCamelCase_:						Optional[Any]=[3, 5, 7, 11],					lowerCamelCase_:						Optional[int]=[1, 2, 3, 6],					lowerCamelCase_:						str=True,					lowerCamelCase_:						Optional[int]=0.4,					lowerCamelCase_:						Any=256,					lowerCamelCase_:						Optional[Any]=1,					lowerCamelCase_:						List[str]=False,					lowerCamelCase_:						str=255,					**lowerCamelCase_:						Dict,					):
			super().__init__(**lowerCamelCase_			)

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

			lowercase__					:      Union[str, Any]      =		image_size
			lowercase__					:      List[Any]      =		patch_size
			lowercase__					:      List[str]      =		num_channels
			lowercase__					:      Optional[int]      =		use_mask_token
			lowercase__					:      Union[str, Any]      =		use_absolute_position_embeddings
			lowercase__					:      Any      =		use_relative_position_bias
			lowercase__					:      Any      =		use_shared_relative_position_bias
			lowercase__					:      Optional[Any]      =		layer_scale_init_value
			lowercase__					:      Dict      =		drop_path_rate
			lowercase__					:      Dict      =		use_mean_pooling
			# decode head attributes (semantic segmentation)
			lowercase__					:      Any      =		out_indices
			lowercase__					:      int      =		pool_scales
			# auxiliary head attributes (semantic segmentation)
			lowercase__					:      int      =		use_auxiliary_head
			lowercase__					:      Dict      =		auxiliary_loss_weight
			lowercase__					:      List[Any]      =		auxiliary_channels
			lowercase__					:      List[Any]      =		auxiliary_num_convs
			lowercase__					:      Union[str, Any]      =		auxiliary_concat_input
			lowercase__					:      str      =		semantic_loss_ignore_index


class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				version.parse("1.11"      )

	@property
	def    snake_case__(						self:						Dict			):
			return OrderedDict(
			    [
			        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
			    ]			)





	@property
	def    snake_case__(						self:						List[str]			):
			return 1E-4









import argparse
import os
import re


__UpperCamelCase:	Any = """src/transformers/models/auto"""


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
__UpperCamelCase:	Dict = re.compile(r"""[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict""")
# re pattern that matches identifiers in mappings
__UpperCamelCase:	List[str] = re.compile(r"""\s*\(\s*\"(\S[^\"]+)\"""")


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : int   ,    _lowercase     : bool = False			)   ->							List[str]:




		'''simple docstring'''
		with open(_lowercase   ,    'r'   ,    encoding='utf-8'			) as f:
				lowercase__					:      Union[str, Any]      =		f.read()

		lowercase__					:      Optional[Any]      =		content.split('\n'			)
		lowercase__					:      Optional[int]      =		[]
		lowercase__					:      int      =		0
		while line_idx < len(_lowercase			):
				if _re_intro_mapping.search(lines[line_idx]			) is not None:
						lowercase__					:      Tuple      =		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

						lowercase__					:      Tuple      =		[]
						while lines[line_idx].strip() != "]":
								# Blocks either fit in one line or not
								if lines[line_idx].strip() == "(":
										lowercase__					:      Any      =		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
						lowercase__					:      List[str]      =		sorted(_lowercase   ,    key=lambda _lowercase			: _re_identifier.search(_lowercase			).groups()[0]			)
						new_lines += blocks
				else:
						new_lines.append(lines[line_idx]			)
						line_idx += 1

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


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : bool = False			)   ->							List[Any]:




		'''simple docstring'''
		lowercase__					:      List[Any]      =		[os.path.join(_lowercase   ,    _lowercase			) for f in os.listdir(_lowercase			) if f.endswith('.py'			)]
		lowercase__					:      str      =		[sort_auto_mapping(_lowercase   ,    overwrite=_lowercase			) for fname in fnames]

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


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

			sort_all_auto_mappings(not args.check_only)


