
import argparse
import os
import re

import packaging.version


A	:      int  					=					"""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	:      str  					=					{
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
A	:      List[Any]  					=					"""README.md"""


def        __lowerCAmelCase     (     a__		,       a__		,       a__    )			->    Dict:
				with open(__lowerCAmelCase		,       '''r'''		,       encoding='''utf-8'''		,       newline='''\n'''    ) as f:
								__a     				=       f.read()
				__a				,	__a     				=       REPLACE_PATTERNS[pattern]
				__a     				=       replace.replace('''VERSION'''		,       __lowerCAmelCase    )
				__a     				=       re_pattern.sub(__lowerCAmelCase		,       __lowerCAmelCase    )
				with open(__lowerCAmelCase		,       '''w'''		,       encoding='''utf-8'''		,       newline='''\n'''    ) as f:
								f.write(__lowerCAmelCase    )


def        __lowerCAmelCase     (     a__    )			->    Optional[Any]:
				for folder, directories, fnames in os.walk(__lowerCAmelCase    ):
								# 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(__lowerCAmelCase		,       __lowerCAmelCase    )		,       __lowerCAmelCase		,       pattern='''examples'''    )


def        __lowerCAmelCase     (     a__		,       a__=False    )			->    Tuple:
				for pattern, fname in REPLACE_FILES.items():
								update_version_in_file(__lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase    )
				if not patch:
								update_version_in_examples(__lowerCAmelCase    )


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

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

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

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


def        __lowerCAmelCase     (     )			->    Any:
				with open(REPLACE_FILES['''init''']		,       '''r'''    ) as f:
								__a     				=       f.read()
				__a     				=       REPLACE_PATTERNS['''init'''][0].search(__lowerCAmelCase    ).groups()[0]
				return packaging.version.parse(__lowerCAmelCase    )


def        __lowerCAmelCase     (     a__=False    )			->    Any:
				__a     				=       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:
								__a     				=       default_version.base_version
				elif patch:
								__a     				=       F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
				else:
								__a     				=       F"""{default_version.major}.{default_version.minor + 1}.0"""

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

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


def        __lowerCAmelCase     (     )			->    Dict:
				__a     				=       get_version()
				__a     				=       F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
				__a     				=       current_version.base_version

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

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


if __name__ == "__main__":
					A	:      Union[str, 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	:      int  					=					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_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__magic_name__  :  Any					=       {
    """configuration_layoutlmv2""": ["""LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LayoutLMv2Config"""],
    """processing_layoutlmv2""": ["""LayoutLMv2Processor"""],
    """tokenization_layoutlmv2""": ["""LayoutLMv2Tokenizer"""],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  List[str]					=       ["""LayoutLMv2TokenizerFast"""]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  Any					=       ["""LayoutLMv2FeatureExtractor"""]
      __magic_name__  :  Any					=       ["""LayoutLMv2ImageProcessor"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __magic_name__  :  Any					=       [
          """LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """LayoutLMv2ForQuestionAnswering""",
          """LayoutLMv2ForSequenceClassification""",
          """LayoutLMv2ForTokenClassification""",
          """LayoutLMv2Layer""",
          """LayoutLMv2Model""",
          """LayoutLMv2PreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
      from .processing_layoutlmva import LayoutLMvaProcessor
      from .tokenization_layoutlmva import LayoutLMvaTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_layoutlmva import (
                LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
                LayoutLMvaForQuestionAnswering,
                LayoutLMvaForSequenceClassification,
                LayoutLMvaForTokenClassification,
                LayoutLMvaLayer,
                LayoutLMvaModel,
                LayoutLMvaPreTrainedModel,
            )
else:
      import sys

      __magic_name__  :  Union[str, Any]					=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

