






'''simple docstring'''







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


_A			:    int					  =logging.get_logger(__name__)

_A			:    Tuple					  ={
    '''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-large/resolve/main/config.json''',
    # See all DPT models at https://huggingface.co/models?filter=dpt
}

class _lowercase			(       _lowercase	):
							a          = """dpt"""




							def __init__(							self:       Union[str, Any]    ,							UpperCamelCase__:       List[str]=768    ,							UpperCamelCase__:       List[str]=12    ,							UpperCamelCase__:       Optional[Any]=12    ,							UpperCamelCase__:       int=3_072    ,							UpperCamelCase__:       List[Any]="gelu"    ,							UpperCamelCase__:       Optional[int]=0.0    ,							UpperCamelCase__:       Dict=0.0    ,							UpperCamelCase__:       List[str]=0.02    ,							UpperCamelCase__:       int=1e-12    ,							UpperCamelCase__:       Dict=384    ,							UpperCamelCase__:       int=16    ,							UpperCamelCase__:       str=3    ,							UpperCamelCase__:       Any=False    ,							UpperCamelCase__:       Tuple=True    ,							UpperCamelCase__:       Optional[Any]=[2, 5, 8, 11]    ,							UpperCamelCase__:       Optional[Any]="project"    ,							UpperCamelCase__:       Tuple=[4, 2, 1, 0.5]    ,							UpperCamelCase__:       Union[str, Any]=[96, 192, 384, 768]    ,							UpperCamelCase__:       Optional[Any]=256    ,							UpperCamelCase__:       List[Any]=-1    ,							UpperCamelCase__:       Optional[Any]=False    ,							UpperCamelCase__:       List[str]=True    ,							UpperCamelCase__:       List[Any]=0.4    ,							UpperCamelCase__:       Union[str, Any]=255    ,							UpperCamelCase__:       int=0.1    ,							UpperCamelCase__:       Any=[1, 1_024, 24, 24]    ,							UpperCamelCase__:       Optional[int]=[0, 1]    ,							UpperCamelCase__:       Tuple=None    ,							**UpperCamelCase__:       Optional[Any]    ,							):
														super().__init__(**UpperCamelCase__  )

														lowerCamelCase__      :			Optional[Any] 						= hidden_size
														lowerCamelCase__      :			str 						= is_hybrid

														if self.is_hybrid:
																					if backbone_config is None:
																												logger.info("""Initializing the config with a `BiT` backbone."""  )
																												lowerCamelCase__      :			List[str] 						= {
																												    """global_padding""": """same""",
																												    """layer_type""": """bottleneck""",
																												    """depths""": [3, 4, 9],
																												    """out_features""": ["""stage1""", """stage2""", """stage3"""],
																												    """embedding_dynamic_padding""": True,
																												}
																												lowerCamelCase__      :			Union[str, Any] 						= BitConfig(**UpperCamelCase__  )
																					elif isinstance(UpperCamelCase__    ,							UpperCamelCase__  ):
																												logger.info("""Initializing the config with a `BiT` backbone."""  )
																												lowerCamelCase__      :			List[str] 						= BitConfig(**UpperCamelCase__  )
																					elif isinstance(UpperCamelCase__    ,							UpperCamelCase__  ):
																												lowerCamelCase__      :			Dict 						= backbone_config
																					else:
																												raise ValueError(
																												    F'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'''  )

																					lowerCamelCase__      :			List[str] 						= backbone_featmap_shape
																					lowerCamelCase__      :			List[str] 						= neck_ignore_stages

																					if readout_type != "project":
																												raise ValueError("""Readout type must be 'project' when using `DPT-hybrid` mode."""  )
														else:
																					lowerCamelCase__      :			Union[str, Any] 						= None
																					lowerCamelCase__      :			str 						= None
																					lowerCamelCase__      :			List[Any] 						= []

														lowerCamelCase__      :			Any 						= num_hidden_layers
														lowerCamelCase__      :			Tuple 						= num_attention_heads
														lowerCamelCase__      :			Optional[int] 						= intermediate_size
														lowerCamelCase__      :			Dict 						= hidden_act
														lowerCamelCase__      :			Union[str, Any] 						= hidden_dropout_prob
														lowerCamelCase__      :			Optional[int] 						= attention_probs_dropout_prob
														lowerCamelCase__      :			Dict 						= initializer_range
														lowerCamelCase__      :			Optional[Any] 						= layer_norm_eps
														lowerCamelCase__      :			str 						= image_size
														lowerCamelCase__      :			Optional[Any] 						= patch_size
														lowerCamelCase__      :			List[str] 						= num_channels
														lowerCamelCase__      :			str 						= qkv_bias
														lowerCamelCase__      :			List[str] 						= backbone_out_indices
														if readout_type not in ["ignore", "add", "project"]:
																					raise ValueError("""Readout_type must be one of ['ignore', 'add', 'project']"""  )
														lowerCamelCase__      :			Union[str, Any] 						= readout_type
														lowerCamelCase__      :			Optional[Any] 						= reassemble_factors
														lowerCamelCase__      :			Optional[int] 						= neck_hidden_sizes
														lowerCamelCase__      :			int 						= fusion_hidden_size
														lowerCamelCase__      :			Dict 						= head_in_index
														lowerCamelCase__      :			Dict 						= use_batch_norm_in_fusion_residual
														# auxiliary head attributes (semantic segmentation)
														lowerCamelCase__      :			Union[str, Any] 						= use_auxiliary_head
														lowerCamelCase__      :			Tuple 						= auxiliary_loss_weight
														lowerCamelCase__      :			List[str] 						= semantic_loss_ignore_index
														lowerCamelCase__      :			Optional[int] 						= semantic_classifier_dropout




							def 	lowerCamelCase_       (							self:       Tuple  ):
														lowerCamelCase__      :			List[str] 						= copy.deepcopy(self.__dict__  )

														if output["backbone_config"] is not None:
																					lowerCamelCase__      :			Optional[int] 						= self.backbone_config.to_dict()

														lowerCamelCase__      :			Any 						= self.__class__.model_type
														return output









'''simple docstring'''







import argparse
import os
import re

import packaging.version


_A			:    List[str]					  ='''examples/'''
_A			:    Any					  ={
    '''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(r'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(r'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), r'''\1version="VERSION",'''),
    '''doc''': (re.compile(r'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
_A			:    int					  ={
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
_A			:    int					  ='''README.md'''





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )   -> str:
							with open(UpperCamelCase       ,    """r"""       ,    encoding="""utf-8"""       ,    newline="""\n"""   ) as f:
														lowerCamelCase__      :			List[str] 						= f.read()
							lowerCamelCase__						,	lowerCamelCase__      :			Optional[int] 						= REPLACE_PATTERNS[pattern]
							lowerCamelCase__      :			Dict 						= replace.replace("""VERSION"""       ,    UpperCamelCase   )
							lowerCamelCase__      :			str 						= re_pattern.sub(UpperCamelCase       ,    UpperCamelCase   )
							with open(UpperCamelCase       ,    """w"""       ,    encoding="""utf-8"""       ,    newline="""\n"""   ) as f:
														f.write(UpperCamelCase   )





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> str:
							for folder, directories, fnames in os.walk(UpperCamelCase   ):
														# Removing some of the folders with non-actively maintained examples from the walk
														if "research_projects" in directories:
																					directories.remove("""research_projects"""   )
														if "legacy" in directories:
																					directories.remove("""legacy"""   )
														for fname in fnames:
																					if fname.endswith(""".py"""   ):
																												update_version_in_file(os.path.join(UpperCamelCase       ,    UpperCamelCase   )       ,    UpperCamelCase       ,    pattern="""examples"""   )





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase=False   )   -> List[Any]:
							for pattern, fname in REPLACE_FILES.items():
														update_version_in_file(UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase   )
							if not patch:
														update_version_in_examples(UpperCamelCase   )





def 				SCREAMING_SNAKE_CASE_ ()   -> Optional[Any]:
							lowerCamelCase__      :			Dict 						= """🤗 Transformers currently provides the following architectures"""
							lowerCamelCase__      :			Dict 						= """1. Want to contribute a new model?"""
							with open(UpperCamelCase       ,    """r"""       ,    encoding="""utf-8"""       ,    newline="""\n"""   ) as f:
														lowerCamelCase__      :			int 						= f.readlines()

							# Find the start of the list.
							lowerCamelCase__      :			Optional[int] 						= 0
							while not lines[start_index].startswith(_start_prompt   ):
														start_index += 1
							start_index += 1

							lowerCamelCase__      :			Optional[Any] 						= start_index
							# Update the lines in the model list.
							while not lines[index].startswith(_end_prompt   ):
														if lines[index].startswith("""1."""   ):
																					lowerCamelCase__      :			List[Any] 						= lines[index].replace(
																					    """https://huggingface.co/docs/transformers/main/model_doc"""       ,    """https://huggingface.co/docs/transformers/model_doc"""       ,    )
														index += 1

							with open(UpperCamelCase       ,    """w"""       ,    encoding="""utf-8"""       ,    newline="""\n"""   ) as f:
														f.writelines(UpperCamelCase   )





def 				SCREAMING_SNAKE_CASE_ ()   -> Optional[Any]:
							with open(REPLACE_FILES["""init"""]       ,    """r"""   ) as f:
														lowerCamelCase__      :			int 						= f.read()
							lowerCamelCase__      :			Optional[Any] 						= REPLACE_PATTERNS["""init"""][0].search(UpperCamelCase   ).groups()[0]
							return packaging.version.parse(UpperCamelCase   )





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase=False   )   -> List[Any]:
							lowerCamelCase__      :			Union[str, Any] 						= get_version()
							if patch and default_version.is_devrelease:
														raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""   )
							if default_version.is_devrelease:
														lowerCamelCase__      :			List[str] 						= default_version.base_version
							elif patch:
														lowerCamelCase__      :			Any 						= f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
							else:
														lowerCamelCase__      :			List[Any] 						= f'''{default_version.major}.{default_version.minor + 1}.0'''

							# Now let's ask nicely if that's the right one.
							lowerCamelCase__      :			Any 						= input(f'''Which version are you releasing? [{default_version}]'''   )
							if len(UpperCamelCase   ) == 0:
														lowerCamelCase__      :			Optional[int] 						= default_version

							print(f'''Updating version to {version}.'''   )
							global_version_update(UpperCamelCase       ,    patch=UpperCamelCase   )
							if not patch:
														print("""Cleaning main README, don't forget to run `make fix-copies`."""   )
														clean_main_ref_in_model_list()





def 				SCREAMING_SNAKE_CASE_ ()   -> List[str]:
							lowerCamelCase__      :			Optional[int] 						= get_version()
							lowerCamelCase__      :			Any 						= f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
							lowerCamelCase__      :			Any 						= current_version.base_version

							# Check with the user we got that right.
							lowerCamelCase__      :			List[Any] 						= input(f'''Which version are we developing now? [{dev_version}]'''   )
							if len(UpperCamelCase   ) == 0:
														lowerCamelCase__      :			Dict 						= dev_version

							print(f'''Updating version to {version}.'''   )
							global_version_update(UpperCamelCase   )
							print("""Cleaning main README, don't forget to run `make fix-copies`."""   )
							clean_main_ref_in_model_list()


if __name__ == "__main__":
			_A			:    List[Any]					  =argparse.ArgumentParser()
			parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
			parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
			_A			:    List[str]					  =parser.parse_args()
			if not args.post_release:
						pre_release_work(patch=args.patch)
			elif args.patch:
						print('''Nothing to do after a patch :-)''')
			else:
						post_release_work()

