

import argparse
import os
import re

import packaging.version


lowerCAmelCase							:  Optional[int]            =						"""examples/"""
lowerCAmelCase							:  int            =						{
    """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"""),
}
lowerCAmelCase							:  Any            =						{
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
lowerCAmelCase							:  Dict            =						"""README.md"""







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   ):






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







def       A_				(   _UpperCAmelCase   ):






						for folder, directories, fnames in os.walk(SCREAMING_SNAKE_CASE_   ):
												# 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(SCREAMING_SNAKE_CASE_    ,     SCREAMING_SNAKE_CASE_   )    ,     SCREAMING_SNAKE_CASE_    ,     pattern="examples"   )







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase=False   ):






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







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

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

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

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







def       A_				(   ):






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







def       A_				(   _UpperCAmelCase=False   ):
						SCREAMING_SNAKE_CASE_:			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:
												SCREAMING_SNAKE_CASE_:			str  		=	default_version.base_version
						elif patch:
												SCREAMING_SNAKE_CASE_:			Tuple  		=	f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
						else:
												SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	f"{default_version.major}.{default_version.minor + 1}.0"

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

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







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			Any  		=	get_version()
						SCREAMING_SNAKE_CASE_:			Any  		=	f"{current_version.major}.{current_version.minor + 1}.0.dev0"
						SCREAMING_SNAKE_CASE_:			str  		=	current_version.base_version

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

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


if __name__ == "__main__":
						lowerCAmelCase							:  List[str]            =						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.""")
						lowerCAmelCase							:  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

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase							:  Optional[int]            =						{"""configuration_yolos""": ["""YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP""", """YolosConfig""", """YolosOnnxConfig"""]}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any            =						["""YolosFeatureExtractor"""]
						lowerCAmelCase							:  Tuple            =						["""YolosImageProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Any            =						[
						    """YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """YolosForObjectDetection""",
						    """YolosModel""",
						    """YolosPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_yolos import YolosFeatureExtractor
												from .image_processing_yolos import YolosImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_yolos import (
												    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
												    YolosForObjectDetection,
												    YolosModel,
												    YolosPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase							:  int            =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






