




"""simple docstring"""


import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class 					lowercase(     __a ):







 '''simple docstring'''





 lowercase__ 					=					["image_processor", "tokenizer"]
 lowercase__ 					=					"ViTImageProcessor"
 lowercase__ 					=					("CLIPTokenizer", "CLIPTokenizerFast")


 def __init__(				self:		str,      a_:		Optional[int]=None,      a_:		Dict=None,      **a_:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		List[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_,      )
     _snake_case							:		Tuple								=  kwargs.pop("""feature_extractor"""		)

   _snake_case							:		Optional[int]								=  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_		)


 def __call__(				self:		List[str],      a_:		Union[str, Any]=None,      a_:		Optional[int]=None,      a_:		List[str]=None,      a_:		int=None,      **a_:		Dict		):




   '''simple docstring'''



   if text is None and visual_prompt is None and images is None:
     raise ValueError("""You have to specify either text, visual prompt or images."""		)

   if text is not None and visual_prompt is not None:
     raise ValueError("""You have to specify exactly one type of prompt. Either text or visual prompt."""		)

   if text is not None:
     _snake_case							:		Dict								=  self.tokenizer(a_,      return_tensors=a_,      **a_		)

   if visual_prompt is not None:
     _snake_case							:		List[Any]								=  self.image_processor(a_,      return_tensors=a_,      **a_		)

   if images is not None:
     _snake_case							:		Tuple								=  self.image_processor(a_,      return_tensors=a_,      **a_		)

   if visual_prompt is not None and images is not None:
     _snake_case							:		Any								=  {
         """pixel_values""": image_features.pixel_values,
         """conditional_pixel_values""": prompt_features.pixel_values,
     }
     return encoding
   elif text is not None and images is not None:
     _snake_case							:		Optional[int]								=  image_features.pixel_values
     return encoding
   elif text is not None:
     return encoding
   elif visual_prompt is not None:
     _snake_case							:		Optional[Any]								=  {
         """conditional_pixel_values""": prompt_features.pixel_values,
     }
     return encoding
   else:
     return BatchEncoding(data=dict(**a_		),      tensor_type=a_		)


 def  UpperCamelCase_   (				self:		List[Any],      *a_:		Tuple,      **a_:		Optional[int]		):




   '''simple docstring'''



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


 def  UpperCamelCase_   (				self:		Any,      *a_:		Union[str, Any],      **a_:		str		):




   '''simple docstring'''



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


 @property
 def  UpperCamelCase_   (				self:		Optional[int]		):




   '''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  UpperCamelCase_   (				self:		List[Any]		):




   '''simple docstring'''



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










"""simple docstring"""



import argparse
import os
import re

import packaging.version


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



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



def 						lowercase    (				__snake_case				: int	):
		for folder, directories, fnames in os.walk(__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(__snake_case		,					__snake_case	)		,					__snake_case		,					pattern='''examples'''	)



def 						lowercase    (				__snake_case				: Optional[Any]		,					__snake_case				: Optional[Any]=False	):
		for pattern, fname in REPLACE_FILES.items():
				update_version_in_file(__snake_case		,					__snake_case		,					__snake_case	)
		if not patch:
				update_version_in_examples(__snake_case	)



def 						lowercase    (				):
		lowercase_ : Union[str, Any]							       =   '''🤗 Transformers currently provides the following architectures'''
		lowercase_ : Union[str, Any]							       =   '''1. Want to contribute a new model?'''
		with open(__snake_case		,					'''r'''		,					encoding='''utf-8'''		,					newline='''\n'''	) as f:
				lowercase_ : List[str]							       =   f.readlines()

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

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

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



def 						lowercase    (				):
		with open(REPLACE_FILES['''init''']		,					'''r'''	) as f:
				lowercase_ : List[Any]							       =   f.read()
		lowercase_ : List[str]							       =   REPLACE_PATTERNS['''init'''][0].search(__snake_case	).groups()[0]
		return packaging.version.parse(__snake_case	)



def 						lowercase    (				__snake_case				: Optional[Any]=False	):
		lowercase_ : str							       =   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:
				lowercase_ : Optional[Any]							       =   default_version.base_version
		elif patch:
				lowercase_ : Optional[int]							       =   F'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
		else:
				lowercase_ : Optional[int]							       =   F'''{default_version.major}.{default_version.minor + 1}.0'''

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

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



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

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

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


if __name__ == "__main__":
						__A		:       int  				=		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		:       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()



