



import argparse
from collections import defaultdict

import yaml


_snake_case	=						"docs/source/en/_toctree.yml"






def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							Optional[int]				     =					defaultdict(_lowerCamelCase						)
							for doc in model_doc:
														counts[doc["local"]] += 1
							_lowerCAmelCase  :							List[str]				     =					[key for key, value in counts.items() if value > 1]

							_lowerCAmelCase  :							Union[str, Any]				     =					[]
							for duplicate_key in duplicates:
														_lowerCAmelCase  :							List[str]				     =					list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key}						)
														if len(_lowerCamelCase						) > 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(_lowerCamelCase       ,				key=lambda _lowerCamelCase						: s["title"].lower()						)






def        A       (      _lowerCamelCase=False						):





							'''simple docstring'''




							with open(_lowerCamelCase       ,				encoding="utf-8"						) as f:
														_lowerCAmelCase  :							Optional[Any]				     =					yaml.safe_load(f.read()						)

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

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

							_lowerCAmelCase  :							Optional[Any]				     =					api_doc[model_idx]["sections"]

							_lowerCAmelCase  :							Optional[int]				     =					[(idx, section) for idx, section in enumerate(_lowerCamelCase						) if "sections" in section]
							_lowerCAmelCase  :							Optional[Any]				     =					False
							for idx, modality_doc in modalities_docs:
														_lowerCAmelCase  :							Tuple				     =					modality_doc["sections"]
														_lowerCAmelCase  :							Optional[Any]				     =					clean_model_doc_toc(_lowerCamelCase						)

														if old_modality_doc != new_modality_doc:
																					_lowerCAmelCase  :							int				     =					True
																					if overwrite:
																												_lowerCAmelCase  :							Any				     =					new_modality_doc

							if diff:
														if overwrite:
																					_lowerCAmelCase  :							Union[str, Any]				     =					model_doc
																					_lowerCAmelCase  :							List[str]				     =					api_doc
																					with open(_lowerCamelCase       ,				"w"       ,				encoding="utf-8"						) as f:
																												f.write(yaml.dump(_lowerCamelCase       ,				allow_unicode=_lowerCamelCase						)						)
														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__":
						_snake_case	=						argparse.ArgumentParser()
						parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
						_snake_case	=						parser.parse_args()

						check_model_doc(args.fix_and_overwrite)





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


_snake_case	=						logging.get_logger(__name__)



class 						UpperCAmelCase_					( a):
							lowerCamelCase__         =	'upernet'







							def __init__(     self,    __a=None,    __a=512,    __a=0.02,    __a=[1, 2, 3, 6],    __a=True,    __a=0.4,    __a=384,    __a=256,    __a=1,    __a=False,    __a=255,    **__a,    ):

														'''simple docstring'''

														super().__init__(**__a)

														if backbone_config is None:
																					logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.")
																					_lowerCAmelCase  :							List[str]				     =					CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"])
														elif isinstance(__a,    __a):
																					_lowerCAmelCase  :							List[Any]				     =					backbone_config.get("model_type")
																					_lowerCAmelCase  :							Dict				     =					CONFIG_MAPPING[backbone_model_type]
																					_lowerCAmelCase  :							Optional[Any]				     =					config_class.from_dict(__a)

														_lowerCAmelCase  :							Tuple				     =					backbone_config
														_lowerCAmelCase  :							List[Any]				     =					hidden_size
														_lowerCAmelCase  :							Union[str, Any]				     =					initializer_range
														_lowerCAmelCase  :							str				     =					pool_scales
														_lowerCAmelCase  :							List[str]				     =					use_auxiliary_head
														_lowerCAmelCase  :							Dict				     =					auxiliary_loss_weight
														_lowerCAmelCase  :							Tuple				     =					auxiliary_in_channels
														_lowerCAmelCase  :							Optional[Any]				     =					auxiliary_channels
														_lowerCAmelCase  :							str				     =					auxiliary_num_convs
														_lowerCAmelCase  :							Union[str, Any]				     =					auxiliary_concat_input
														_lowerCAmelCase  :							Dict				     =					loss_ignore_index







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Any				     =					copy.deepcopy(self.__dict__)
														_lowerCAmelCase  :							List[Any]				     =					self.backbone_config.to_dict()
														_lowerCAmelCase  :							Optional[Any]				     =					self.__class__.model_type
														return output
