






"""simple docstring"""




import argparse
import os
import re

import packaging.version


__snake_case      :      str             =       """examples/"""
__snake_case      :      Optional[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"""),
}
__snake_case      :      Optional[Any]             =       {
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
__snake_case      :      List[Any]             =       """README.md"""







def 		_UpperCamelCase				(      UpperCamelCase_    :   Optional[Any]      ,    UpperCamelCase_    :   Optional[Any]      ,    UpperCamelCase_    :   List[str]						)					->				Dict:

						"""simple docstring"""



						with open(UpperCamelCase_      ,    'r'      ,    encoding='utf-8'      ,    newline='\n'						) as f:
												lowerCAmelCase__        =  f.read()
						lowerCAmelCase__  ,    lowerCAmelCase__        =  REPLACE_PATTERNS[pattern]
						lowerCAmelCase__        =  replace.replace('VERSION'      ,    UpperCamelCase_						)
						lowerCAmelCase__        =  re_pattern.sub(UpperCamelCase_      ,    UpperCamelCase_						)
						with open(UpperCamelCase_      ,    'w'      ,    encoding='utf-8'      ,    newline='\n'						) as f:
												f.write(UpperCamelCase_						)







def 		_UpperCamelCase				(      UpperCamelCase_    :   str						)					->				int:

						"""simple docstring"""



						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 		_UpperCamelCase				(      UpperCamelCase_    :   Tuple      ,    UpperCamelCase_    :   Optional[Any]=False						)					->				Tuple:

						"""simple docstring"""



						for pattern, fname in REPLACE_FILES.items():
												update_version_in_file(UpperCamelCase_      ,    UpperCamelCase_      ,    UpperCamelCase_						)
						if not patch:
												update_version_in_examples(UpperCamelCase_						)







def 		_UpperCamelCase				(      )					->				List[str]:

						"""simple docstring"""



						lowerCAmelCase__        =  '🤗 Transformers currently provides the following architectures'
						lowerCAmelCase__        =  '1. Want to contribute a new model?'
						with open(UpperCamelCase_      ,    'r'      ,    encoding='utf-8'      ,    newline='\n'						) as f:
												lowerCAmelCase__        =  f.readlines()

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

						lowerCAmelCase__        =  start_index
						# Update the lines in the model list.
						while not lines[index].startswith(_end_prompt						):
												if lines[index].startswith('1.'						):
																		lowerCAmelCase__        =  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 		_UpperCamelCase				(      )					->				Optional[Any]:

						"""simple docstring"""



						with open(REPLACE_FILES['init']      ,    'r'						) as f:
												lowerCAmelCase__        =  f.read()
						lowerCAmelCase__        =  REPLACE_PATTERNS['init'][0].search(UpperCamelCase_						).groups()[0]
						return packaging.version.parse(UpperCamelCase_						)







def 		_UpperCamelCase				(      UpperCamelCase_    :   List[Any]=False						)					->				str:

						"""simple docstring"""



						lowerCAmelCase__        =  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__        =  default_version.base_version
						elif patch:
												lowerCAmelCase__        =  F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
						else:
												lowerCAmelCase__        =  F"{default_version.major}.{default_version.minor + 1}.0"

						# Now let's ask nicely if that's the right one.
						lowerCAmelCase__        =  input(F"Which version are you releasing? [{default_version}]"						)
						if len(UpperCamelCase_						) == 0:
												lowerCAmelCase__        =  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 		_UpperCamelCase				(      )					->				List[Any]:

						"""simple docstring"""



						lowerCAmelCase__        =  get_version()
						lowerCAmelCase__        =  F"{current_version.major}.{current_version.minor + 1}.0.dev0"
						lowerCAmelCase__        =  current_version.base_version

						# Check with the user we got that right.
						lowerCAmelCase__        =  input(F"Which version are we developing now? [{dev_version}]"						)
						if len(UpperCamelCase_						) == 0:
												lowerCAmelCase__        =  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__":
					__snake_case      :      Dict             =       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.""")
					__snake_case      :      Tuple             =       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()













from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case      :      Dict             =       {"""configuration_focalnet""": ["""FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FocalNetConfig"""]}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__snake_case      :      str             =       [
					    """FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """FocalNetForImageClassification""",
					    """FocalNetForMaskedImageModeling""",
					    """FocalNetBackbone""",
					    """FocalNetModel""",
					    """FocalNetPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_focalnet import (
										    FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    FocalNetBackbone,
										    FocalNetForImageClassification,
										    FocalNetForMaskedImageModeling,
										    FocalNetModel,
										    FocalNetPreTrainedModel,
										)

else:
					import sys

					__snake_case      :      List[Any]             =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





