'''simple docstring'''





import argparse
from collections import defaultdict

import yaml


SCREAMING_SNAKE_CASE_:					Optional[int]  ='docs/source/en/_toctree.yml'





def      lowerCAmelCase_    ( snake_case_	:			str      )   ->				Any:


					'''simple docstring'''




					UpperCAmelCase_	   =       defaultdict(__a      )
					for doc in model_doc:
										counts[doc["local"]] += 1
					UpperCAmelCase_	   =       [key for key, value in counts.items() if value > 1]

					UpperCAmelCase_	   =       []
					for duplicate_key in duplicates:
										UpperCAmelCase_	   =       list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key}      )
										if len(__a      ) > 1:
															raise ValueError(
															    f"""{duplicate_key} is present several times in the documentation table of content at """
															    "`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the "
															    "others."      )
										# Only add this once
										new_doc.append({"local": duplicate_key, "title": titles[0]}      )

					# Add none duplicate-keys
					new_doc.extend([doc for doc in model_doc if counts[doc["local"]] == 1]      )

					# Sort
					return sorted(__a ,   key=lambda snake_case_      : s["title"].lower()      )





def      lowerCAmelCase_    ( snake_case_	:			Optional[int]=False      )   ->				Tuple:


					'''simple docstring'''




					with open(__a ,   encoding="utf-8"      ) as f:
										UpperCAmelCase_	   =       yaml.safe_load(f.read()      )

					# Get to the API doc
					UpperCAmelCase_	   =       0
					while content[api_idx]["title"] != "API":
										api_idx += 1
					UpperCAmelCase_	   =       content[api_idx]['sections']

					# Then to the model doc
					UpperCAmelCase_	   =       0
					while api_doc[model_idx]["title"] != "Models":
										model_idx += 1

					UpperCAmelCase_	   =       api_doc[model_idx]['sections']

					UpperCAmelCase_	   =       [(idx, section) for idx, section in enumerate(__a      ) if 'sections' in section]
					UpperCAmelCase_	   =       False
					for idx, modality_doc in modalities_docs:
										UpperCAmelCase_	   =       modality_doc['sections']
										UpperCAmelCase_	   =       clean_model_doc_toc(__a      )

										if old_modality_doc != new_modality_doc:
															UpperCAmelCase_	   =       True
															if overwrite:
																				UpperCAmelCase_	   =       new_modality_doc

					if diff:
										if overwrite:
															UpperCAmelCase_	   =       model_doc
															UpperCAmelCase_	   =       api_doc
															with open(__a ,   "w" ,   encoding="utf-8"      ) as f:
																				f.write(yaml.dump(__a ,   allow_unicode=__a      )      )
										else:
															raise ValueError(
															    "The model doc part of the table of content is not properly sorted, run `make style` to fix this."      )


if __name__ == "__main__":
				SCREAMING_SNAKE_CASE_:					int  =argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				SCREAMING_SNAKE_CASE_:					Optional[Any]  =parser.parse_args()

				check_model_doc(args.fix_and_overwrite)





'''simple docstring'''





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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


SCREAMING_SNAKE_CASE_:					List[str]  =logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_:					Tuple  ={
    'microsoft/resnet-50': 'https://huggingface.co/microsoft/resnet-50/blob/main/config.json',
}




class 	__A				(			UpperCamelCase__		,     UpperCamelCase__     ):
    a__	:						Optional[Any]	       =  """resnet"""
    a__	:						Tuple	       =  ["""basic""", """bottleneck"""]



    def __init__(self   :   List[Any]       ,      __a   :   Any=3       ,      __a   :   Dict=64       ,      __a   :   Union[str, Any]=[256, 512, 1024, 2048]       ,      __a   :   str=[3, 4, 6, 3]       ,      __a   :   Optional[Any]="bottleneck"       ,      __a   :   Tuple="relu"       ,      __a   :   int=False       ,      __a   :   Optional[int]=None       ,      __a   :   str=None       ,      **__a   :   Dict       ,      ):
         super().__init__(**__a			)
         if layer_type not in self.layer_types:
              raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types			)}"""			)
         UpperCAmelCase_	   =       num_channels
         UpperCAmelCase_	   =       embedding_size
         UpperCAmelCase_	   =       hidden_sizes
         UpperCAmelCase_	   =       depths
         UpperCAmelCase_	   =       layer_type
         UpperCAmelCase_	   =       hidden_act
         UpperCAmelCase_	   =       downsample_in_first_stage
         UpperCAmelCase_	   =       ["stem"] + [f"""stage{idx}""" for idx in range(1       ,      len(__a			) + 1			)]
         UpperCAmelCase_   ,			UpperCAmelCase_	   =       get_aligned_output_features_output_indices(
             out_features=__a       ,      out_indices=__a       ,      stage_names=self.stage_names			)




class 	__A				(			UpperCamelCase__     ):
    a__	:						int	       =  version.parse("""1.11"""     )



    @property
    def  _lowercase						(self   :   Optional[int]			):
         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]			)






    @property
    def  _lowercase						(self   :   str			):
         return 1E-3




