






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase     :							Dict    ={'''configuration_fnet''': ['''FNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FNetConfig''']}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase     :							List[Any]    =['''FNetTokenizer''']

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase     :							Optional[Any]    =['''FNetTokenizerFast''']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase     :							Dict    =[
     '''FNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''FNetForMaskedLM''',
     '''FNetForMultipleChoice''',
     '''FNetForNextSentencePrediction''',
     '''FNetForPreTraining''',
     '''FNetForQuestionAnswering''',
     '''FNetForSequenceClassification''',
     '''FNetForTokenClassification''',
     '''FNetLayer''',
     '''FNetModel''',
     '''FNetPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_fnet import FNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FNetConfig

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_fnet import FNetTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_fnet_fast import FNetTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_fnet import (
      FNET_PRETRAINED_MODEL_ARCHIVE_LIST,
      FNetForMaskedLM,
      FNetForMultipleChoice,
      FNetForNextSentencePrediction,
      FNetForPreTraining,
      FNetForQuestionAnswering,
      FNetForSequenceClassification,
      FNetForTokenClassification,
      FNetLayer,
      FNetModel,
      FNetPreTrainedModel,
  )


else:
 import sys

 lowerCamelCase     :							str    =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







import argparse
import os
import re

import packaging.version


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







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )			->     Optional[Any]:
     with open(__lowerCAmelCase ,   "r" ,   encoding="utf-8" ,   newline="\n"      ) as f:
          UpperCamelCase__      :       List[Any]	    =  f.read()
     UpperCamelCase__    ,					UpperCamelCase__      :       List[str]	    =  REPLACE_PATTERNS[pattern]
     UpperCamelCase__      :       Union[str, Any]	    =  replace.replace("VERSION" ,   __lowerCAmelCase      )
     UpperCamelCase__      :       Tuple	    =  re_pattern.sub(__lowerCAmelCase ,   __lowerCAmelCase      )
     with open(__lowerCAmelCase ,   "w" ,   encoding="utf-8" ,   newline="\n"      ) as f:
          f.write(__lowerCAmelCase      )







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     Union[str, 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 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase=False      )			->     Optional[int]:
     for pattern, fname in REPLACE_FILES.items():
          update_version_in_file(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase      )
     if not patch:
          update_version_in_examples(__lowerCAmelCase      )







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

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

     UpperCamelCase__      :       Dict	    =  start_index
     # Update the lines in the model list.
     while not lines[index].startswith(_end_prompt      ):
          if lines[index].startswith("1."      ):
               UpperCamelCase__      :       str	    =  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 		SCREAMING_SNAKE_CASE							( )			->     Tuple:
     with open(REPLACE_FILES["init"] ,   "r"      ) as f:
          UpperCamelCase__      :       str	    =  f.read()
     UpperCamelCase__      :       Dict	    =  REPLACE_PATTERNS["init"][0].search(__lowerCAmelCase      ).groups()[0]
     return packaging.version.parse(__lowerCAmelCase      )







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase=False      )			->     Optional[int]:
     UpperCamelCase__      :       Dict	    =  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:
          UpperCamelCase__      :       List[str]	    =  default_version.base_version
     elif patch:
          UpperCamelCase__      :       int	    =  f'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
     else:
          UpperCamelCase__      :       Tuple	    =  f'{default_version.major}.{default_version.minor + 1}.0'

     # Now let's ask nicely if that's the right one.
     UpperCamelCase__      :       Tuple	    =  input(f'Which version are you releasing? [{default_version}]'      )
     if len(__lowerCAmelCase      ) == 0:
          UpperCamelCase__      :       Any	    =  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 		SCREAMING_SNAKE_CASE							( )			->     int:
     UpperCamelCase__      :       str	    =  get_version()
     UpperCamelCase__      :       Dict	    =  f'{current_version.major}.{current_version.minor + 1}.0.dev0'
     UpperCamelCase__      :       int	    =  current_version.base_version

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