


'''simple docstring'''


import argparse
import os
import re

import packaging.version


__magic_name__			=      'examples/'
__magic_name__			=      {
    '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'),
}
__magic_name__			=      {
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
__magic_name__			=      'README.md'




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




def      lowerCamelCase					(      lowerCamelCase  :      str):
      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					(      lowerCamelCase  :      Tuple							,						lowerCamelCase  :      Tuple=False):
      for pattern, fname in REPLACE_FILES.items():
            update_version_in_file(lowerCamelCase							,						lowerCamelCase							,						lowerCamelCase)
      if not patch:
            update_version_in_examples(lowerCamelCase)




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

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

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

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




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




def      lowerCamelCase					(      lowerCamelCase  :      Dict=False):
      A_						:  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:
            A_						:  Optional[int]          =				default_version.base_version
      elif patch:
            A_						:  int          =				F'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
      else:
            A_						:  Union[str, Any]          =				F'{default_version.major}.{default_version.minor + 1}.0'

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

      print(F'Updating version to {version}.')
      global_version_update(lowerCamelCase							,						patch=lowerCamelCase)




def      lowerCamelCase					(      ):
      A_						:  Optional[Any]          =				get_version()
      A_						:  Tuple          =				F'{current_version.major}.{current_version.minor + 1}.0.dev0'
      A_						:  List[str]          =				current_version.base_version

      # Check with the user we got that right.
      A_						:  List[Any]          =				input(F'Which version are we developing now? [{dev_version}]')
      if len(lowerCamelCase) == 0:
            A_						:  Tuple          =				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__":
  __magic_name__			=      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.')
  __magic_name__			=      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()




'''simple docstring'''


import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 	__lowerCAmelCase		(							__SCREAMING_SNAKE_CASE    ):


  '''simple docstring'''







  a_  					=							["""image_processor""", """tokenizer"""]
  a_  					=							"""ViltImageProcessor"""
  a_  					=							("""BertTokenizer""", """BertTokenizerFast""")






  def __init__(							self :       List[Any]	,_a :       Optional[Any]=None	,_a :       List[str]=None	,**_a :       Any ):

        '''simple docstring'''




        A_						:  Any          =				None
        if "feature_extractor" in kwargs:
              warnings.warn(
                  """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                  """ instead."""	,_a	,)
              A_						:  List[str]          =				kwargs.pop("""feature_extractor""" )

        A_						:  List[Any]          =				image_processor if image_processor is not None else feature_extractor
        if image_processor is None:
              raise ValueError("""You need to specify an `image_processor`.""" )
        if tokenizer is None:
              raise ValueError("""You need to specify a `tokenizer`.""" )

        super().__init__(_a	,_a )
        A_						:  Optional[Any]          =				self.image_processor






  def __call__(							self :       Any	,_a :       Tuple	,_a :       Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None	,_a :       bool = True	,_a :       Union[bool, str, PaddingStrategy] = False	,_a :       Union[bool, str, TruncationStrategy] = None	,_a :       Optional[int] = None	,_a :       int = 0	,_a :       Optional[int] = None	,_a :       Optional[bool] = None	,_a :       Optional[bool] = None	,_a :       bool = False	,_a :       bool = False	,_a :       bool = False	,_a :       bool = False	,_a :       bool = True	,_a :       Optional[Union[str, TensorType]] = None	,**_a :       Tuple	,):

        '''simple docstring'''




        A_						:  int          =				self.tokenizer(
            text=_a	,add_special_tokens=_a	,padding=_a	,truncation=_a	,max_length=_a	,stride=_a	,pad_to_multiple_of=_a	,return_token_type_ids=_a	,return_attention_mask=_a	,return_overflowing_tokens=_a	,return_special_tokens_mask=_a	,return_offsets_mapping=_a	,return_length=_a	,verbose=_a	,return_tensors=_a	,**_a	,)
        # add pixel_values + pixel_mask
        A_						:  Optional[int]          =				self.image_processor(_a	,return_tensors=_a )
        encoding.update(_a )

        return encoding






  def        _a							(							self :       List[Any]	,*_a :       Any	,**_a :       Any ):

        '''simple docstring'''




        return self.tokenizer.batch_decode(*_a	,**_a )






  def        _a							(							self :       int	,*_a :       int	,**_a :       Optional[int] ):

        '''simple docstring'''




        return self.tokenizer.decode(*_a	,**_a )






  @property
  def        _a							(							self :       List[Any] ):

        '''simple docstring'''




        A_						:  Optional[int]          =				self.tokenizer.model_input_names
        A_						:  str          =				self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )






  @property
  def        _a							(							self :       str ):

        '''simple docstring'''




        warnings.warn(
            """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""	,_a	,)
        return self.image_processor_class






  @property
  def        _a							(							self :       int ):

        '''simple docstring'''




        warnings.warn(
            """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""	,_a	,)
        return self.image_processor
