

import logging
import os
import threading
import time


try:
       import warnings
except ImportError:
       _SCREAMING_SNAKE_CASE					:  int             =      None

try:
       import msvcrt
except ImportError:
       _SCREAMING_SNAKE_CASE					:  Tuple             =      None

try:
       import fcntl
except ImportError:
       _SCREAMING_SNAKE_CASE					:  int             =      None


# Backward compatibility
# ------------------------------------------------
try:
       TimeoutError
except NameError:
       _SCREAMING_SNAKE_CASE					:  Tuple             =      OSError


# Data
# ------------------------------------------------
_SCREAMING_SNAKE_CASE					:  Union[str, Any]             =      [
    '''Timeout''',
    '''BaseFileLock''',
    '''WindowsFileLock''',
    '''UnixFileLock''',
    '''SoftFileLock''',
    '''FileLock''',
]

_SCREAMING_SNAKE_CASE					:  Optional[int]             =      '''3.0.12'''


_SCREAMING_SNAKE_CASE					:  Optional[Any]             =      None
def     UpperCAmelCase_       (						):





     '''simple docstring'''




     global _logger
     SCREAMING_SNAKE_CASE__   =   _logger or logging.getLogger(__name__    )
     return _logger






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  def __init__(							self						:		Any     ,       __lowerCamelCase						:		Dict )		->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__   =   lock_file
       return None







  def __str__(							self						:		Tuple )		->							Optional[int]:
       SCREAMING_SNAKE_CASE__   =   f'''The file lock \'{self.lock_file}\' could not be acquired.'''
       return temp






class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		Tuple     ,       __lowerCamelCase						:		Optional[Any] )		->							int:
       SCREAMING_SNAKE_CASE__   =   lock
       return None






  def __enter__(							self						:		List[str] )		->							Any:
       return self.lock







  def __exit__(							self						:		List[str]     ,       __lowerCamelCase						:		int     ,       __lowerCamelCase						:		str     ,       __lowerCamelCase						:		Tuple )		->							Tuple:
       self.lock.release()
       return None






class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		Tuple     ,       __lowerCamelCase						:		Any     ,       __lowerCamelCase						:		Tuple=-1     ,       __lowerCamelCase						:		List[str]=None )		->							Optional[int]:
       SCREAMING_SNAKE_CASE__   =   max_filename_length if max_filename_length is not None else 255
       # Hash the filename if it's too long
       SCREAMING_SNAKE_CASE__   =   self.hash_filename_if_too_long(__lowerCamelCase     ,       __lowerCamelCase )
       # The path to the lock file.
       SCREAMING_SNAKE_CASE__   =   lock_file

       # The file descriptor for the *_lock_file* as it is returned by the
       # os.open() function.
       # This file lock is only NOT None, if the object currently holds the
       # lock.
       SCREAMING_SNAKE_CASE__   =   None

       # The default timeout value.
       SCREAMING_SNAKE_CASE__   =   timeout

       # We use this lock primarily for the lock counter.
       SCREAMING_SNAKE_CASE__   =   threading.Lock()

       # The lock counter is used for implementing the nested locking
       # mechanism. Whenever the lock is acquired, the counter is increased and
       # the lock is only released, when this value is 0 again.
       SCREAMING_SNAKE_CASE__   =   0
       return None






  @property
  def 				lowercase_		(							self						:		Union[str, Any] )		->							str:
       return self._lock_file






  @property
  def 				lowercase_		(							self						:		Union[str, Any] )		->							Tuple:
       return self._timeout






  @timeout.setter
  def 				lowercase_		(							self						:		str     ,       __lowerCamelCase						:		List[str] )		->							Tuple:
       SCREAMING_SNAKE_CASE__   =   float(__lowerCamelCase )
       return None






  def 				lowercase_		(							self						:		Dict )		->							Union[str, Any]:
       raise NotImplementedError()






  def 				lowercase_		(							self						:		Optional[int] )		->							Tuple:
       raise NotImplementedError()






  @property
  def 				lowercase_		(							self						:		Optional[int] )		->							int:
       return self._lock_file_fd is not None






  def 				lowercase_		(							self						:		Optional[int]     ,       __lowerCamelCase						:		Optional[int]=None     ,       __lowerCamelCase						:		Optional[Any]=0.05 )		->							str:
       # Use the default timeout, if no timeout is provided.
       if timeout is None:
            SCREAMING_SNAKE_CASE__   =   self.timeout

       # Increment the number right at the beginning.
       # We can still undo it, if something fails.
       with self._thread_lock:
            self._lock_counter += 1

       SCREAMING_SNAKE_CASE__   =   id(self )
       SCREAMING_SNAKE_CASE__   =   self._lock_file
       SCREAMING_SNAKE_CASE__   =   time.time()
       try:
            while True:
                 with self._thread_lock:
                      if not self.is_locked:
                           logger().debug(f'''Attempting to acquire lock {lock_id} on {lock_filename}''' )
                           self._acquire()

                 if self.is_locked:
                      logger().debug(f'''Lock {lock_id} acquired on {lock_filename}''' )
                      break
                 elif timeout >= 0 and time.time() - start_time > timeout:
                      logger().debug(f'''Timeout on acquiring lock {lock_id} on {lock_filename}''' )
                      raise Timeout(self._lock_file )
                 else:
                      logger().debug(
                          f'''Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ...''' )
                      time.sleep(__lowerCamelCase )
       except:  # noqa
            # Something did go wrong, so decrement the counter.
            with self._thread_lock:
                 SCREAMING_SNAKE_CASE__   =   max(0     ,       self._lock_counter - 1 )

            raise
       return _Acquire_ReturnProxy(lock=self )






  def 				lowercase_		(							self						:		Tuple     ,       __lowerCamelCase						:		Tuple=False )		->							Dict:
       with self._thread_lock:
            if self.is_locked:
                 self._lock_counter -= 1

                 if self._lock_counter == 0 or force:
                      SCREAMING_SNAKE_CASE__   =   id(self )
                      SCREAMING_SNAKE_CASE__   =   self._lock_file

                      logger().debug(f'''Attempting to release lock {lock_id} on {lock_filename}''' )
                      self._release()
                      SCREAMING_SNAKE_CASE__   =   0
                      logger().debug(f'''Lock {lock_id} released on {lock_filename}''' )

       return None






  def __enter__(							self						:		List[str] )		->							Optional[int]:
       self.acquire()
       return self






  def __exit__(							self						:		List[Any]     ,       __lowerCamelCase						:		List[Any]     ,       __lowerCamelCase						:		Tuple     ,       __lowerCamelCase						:		Tuple )		->							Tuple:
       self.release()
       return None






  def __del__(							self						:		Tuple )		->							Tuple:
       self.release(force=__lowerCamelCase )
       return None







  def 				lowercase_		(							self						:		Optional[Any]     ,       __lowerCamelCase						:		str     ,       __lowerCamelCase						:		int )		->							str:
       SCREAMING_SNAKE_CASE__   =   os.path.basename(__lowerCamelCase )
       if len(__lowerCamelCase ) > max_length and max_length > 0:
            SCREAMING_SNAKE_CASE__   =   os.path.dirname(__lowerCamelCase )
            SCREAMING_SNAKE_CASE__   =   str(hash(__lowerCamelCase ) )
            SCREAMING_SNAKE_CASE__   =   filename[: max_length - len(__lowerCamelCase ) - 8] + '''...''' + hashed_filename + '''.lock'''
            return os.path.join(__lowerCamelCase     ,       __lowerCamelCase )
       else:
            return path






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  def __init__(							self						:		str     ,       __lowerCamelCase						:		List[str]     ,       __lowerCamelCase						:		str=-1     ,       __lowerCamelCase						:		Optional[Any]=None )		->							Optional[Any]:
       from .file_utils import relative_to_absolute_path

       super().__init__(__lowerCamelCase     ,       timeout=__lowerCamelCase     ,       max_filename_length=__lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   '''\\\\?\\''' + relative_to_absolute_path(self.lock_file )






  def 				lowercase_		(							self						:		Union[str, Any] )		->							int:
       SCREAMING_SNAKE_CASE__   =   os.O_RDWR | os.O_CREAT | os.O_TRUNC

       try:
            SCREAMING_SNAKE_CASE__   =   os.open(self._lock_file     ,       __lowerCamelCase )
       except OSError:
            pass
       else:
            try:
                 msvcrt.locking(__lowerCamelCase     ,       msvcrt.LK_NBLCK     ,       1 )
            except OSError:
                 os.close(__lowerCamelCase )
            else:
                 SCREAMING_SNAKE_CASE__   =   fd
       return None







  def 				lowercase_		(							self						:		int )		->							int:
       SCREAMING_SNAKE_CASE__   =   self._lock_file_fd
       SCREAMING_SNAKE_CASE__   =   None
       msvcrt.locking(__lowerCamelCase     ,       msvcrt.LK_UNLCK     ,       1 )
       os.close(__lowerCamelCase )

       try:
            os.remove(self._lock_file )
       # Probably another instance of the application
       # that acquired the file lock.
       except OSError:
            pass
       return None






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  def __init__(							self						:		Union[str, Any]     ,       __lowerCamelCase						:		str     ,       __lowerCamelCase						:		int=-1     ,       __lowerCamelCase						:		str=None )		->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__   =   os.statvfs(os.path.dirname(__lowerCamelCase ) ).f_namemax
       super().__init__(__lowerCamelCase     ,       timeout=__lowerCamelCase     ,       max_filename_length=__lowerCamelCase )






  def 				lowercase_		(							self						:		Union[str, Any] )		->							Tuple:
       SCREAMING_SNAKE_CASE__   =   os.O_RDWR | os.O_CREAT | os.O_TRUNC
       SCREAMING_SNAKE_CASE__   =   os.open(self._lock_file     ,       __lowerCamelCase )

       try:
            fcntl.flock(__lowerCamelCase     ,       fcntl.LOCK_EX | fcntl.LOCK_NB )
       except OSError:
            os.close(__lowerCamelCase )
       else:
            SCREAMING_SNAKE_CASE__   =   fd
       return None







  def 				lowercase_		(							self						:		Optional[Any] )		->							Optional[Any]:
       # Do not remove the lockfile:
       #
       #   https://github.com/benediktschmitt/py-filelock/issues/31
       #   https://stackoverflow.com/questions/17708885/flock-removing-locked-file-without-race-condition
       SCREAMING_SNAKE_CASE__   =   self._lock_file_fd
       SCREAMING_SNAKE_CASE__   =   None
       fcntl.flock(__lowerCamelCase     ,       fcntl.LOCK_UN )
       os.close(__lowerCamelCase )
       return None






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  def 				lowercase_		(							self						:		str )		->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__   =   os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
       try:
            SCREAMING_SNAKE_CASE__   =   os.open(self._lock_file     ,       __lowerCamelCase )
       except OSError:
            pass
       else:
            SCREAMING_SNAKE_CASE__   =   fd
       return None







  def 				lowercase_		(							self						:		Optional[Any] )		->							int:
       os.close(self._lock_file_fd )
       SCREAMING_SNAKE_CASE__   =   None

       try:
            os.remove(self._lock_file )
       # The file is already deleted and that's what we want.
       except OSError:
            pass
       return None



_SCREAMING_SNAKE_CASE					:  Any             =      None

if msvcrt:
       _SCREAMING_SNAKE_CASE					:  str             =      WindowsFileLock
elif fcntl:
       _SCREAMING_SNAKE_CASE					:  List[Any]             =      UnixFileLock
else:
       _SCREAMING_SNAKE_CASE					:  Any             =      SoftFileLock

       if warnings is not None:
              warnings.warn('''only soft file lock is available''')





import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union

# Build the list of all image processors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
from ...image_processing_utils import ImageProcessingMixin
from ...utils import CONFIG_NAME, IMAGE_PROCESSOR_NAME, get_file_from_repo, logging
from .auto_factory import _LazyAutoMapping
from .configuration_auto import (
    CONFIG_MAPPING_NAMES,
    AutoConfig,
    model_type_to_module_name,
    replace_list_option_in_docstrings,
)


_SCREAMING_SNAKE_CASE					:  List[str]             =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:  Tuple             =      OrderedDict(
    [
        ('''align''', '''EfficientNetImageProcessor'''),
        ('''beit''', '''BeitImageProcessor'''),
        ('''bit''', '''BitImageProcessor'''),
        ('''blip''', '''BlipImageProcessor'''),
        ('''blip-2''', '''BlipImageProcessor'''),
        ('''bridgetower''', '''BridgeTowerImageProcessor'''),
        ('''chinese_clip''', '''ChineseCLIPImageProcessor'''),
        ('''clip''', '''CLIPImageProcessor'''),
        ('''clipseg''', '''ViTImageProcessor'''),
        ('''conditional_detr''', '''ConditionalDetrImageProcessor'''),
        ('''convnext''', '''ConvNextImageProcessor'''),
        ('''convnextv2''', '''ConvNextImageProcessor'''),
        ('''cvt''', '''ConvNextImageProcessor'''),
        ('''data2vec-vision''', '''BeitImageProcessor'''),
        ('''deformable_detr''', '''DeformableDetrImageProcessor'''),
        ('''deit''', '''DeiTImageProcessor'''),
        ('''deta''', '''DetaImageProcessor'''),
        ('''detr''', '''DetrImageProcessor'''),
        ('''dinat''', '''ViTImageProcessor'''),
        ('''donut-swin''', '''DonutImageProcessor'''),
        ('''dpt''', '''DPTImageProcessor'''),
        ('''efficientformer''', '''EfficientFormerImageProcessor'''),
        ('''efficientnet''', '''EfficientNetImageProcessor'''),
        ('''flava''', '''FlavaImageProcessor'''),
        ('''focalnet''', '''BitImageProcessor'''),
        ('''git''', '''CLIPImageProcessor'''),
        ('''glpn''', '''GLPNImageProcessor'''),
        ('''groupvit''', '''CLIPImageProcessor'''),
        ('''imagegpt''', '''ImageGPTImageProcessor'''),
        ('''instructblip''', '''BlipImageProcessor'''),
        ('''layoutlmv2''', '''LayoutLMv2ImageProcessor'''),
        ('''layoutlmv3''', '''LayoutLMv3ImageProcessor'''),
        ('''levit''', '''LevitImageProcessor'''),
        ('''mask2former''', '''Mask2FormerImageProcessor'''),
        ('''maskformer''', '''MaskFormerImageProcessor'''),
        ('''mgp-str''', '''ViTImageProcessor'''),
        ('''mobilenet_v1''', '''MobileNetV1ImageProcessor'''),
        ('''mobilenet_v2''', '''MobileNetV2ImageProcessor'''),
        ('''mobilevit''', '''MobileViTImageProcessor'''),
        ('''mobilevit''', '''MobileViTImageProcessor'''),
        ('''mobilevitv2''', '''MobileViTImageProcessor'''),
        ('''nat''', '''ViTImageProcessor'''),
        ('''oneformer''', '''OneFormerImageProcessor'''),
        ('''owlvit''', '''OwlViTImageProcessor'''),
        ('''perceiver''', '''PerceiverImageProcessor'''),
        ('''pix2struct''', '''Pix2StructImageProcessor'''),
        ('''poolformer''', '''PoolFormerImageProcessor'''),
        ('''regnet''', '''ConvNextImageProcessor'''),
        ('''resnet''', '''ConvNextImageProcessor'''),
        ('''sam''', '''SamImageProcessor'''),
        ('''segformer''', '''SegformerImageProcessor'''),
        ('''swiftformer''', '''ViTImageProcessor'''),
        ('''swin''', '''ViTImageProcessor'''),
        ('''swin2sr''', '''Swin2SRImageProcessor'''),
        ('''swinv2''', '''ViTImageProcessor'''),
        ('''table-transformer''', '''DetrImageProcessor'''),
        ('''timesformer''', '''VideoMAEImageProcessor'''),
        ('''tvlt''', '''TvltImageProcessor'''),
        ('''upernet''', '''SegformerImageProcessor'''),
        ('''van''', '''ConvNextImageProcessor'''),
        ('''videomae''', '''VideoMAEImageProcessor'''),
        ('''vilt''', '''ViltImageProcessor'''),
        ('''vit''', '''ViTImageProcessor'''),
        ('''vit_hybrid''', '''ViTHybridImageProcessor'''),
        ('''vit_mae''', '''ViTImageProcessor'''),
        ('''vit_msn''', '''ViTImageProcessor'''),
        ('''xclip''', '''CLIPImageProcessor'''),
        ('''yolos''', '''YolosImageProcessor'''),
    ]
)

_SCREAMING_SNAKE_CASE					:  str             =      _LazyAutoMapping(CONFIG_MAPPING_NAMES, IMAGE_PROCESSOR_MAPPING_NAMES)
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     for module_name, extractors in IMAGE_PROCESSOR_MAPPING_NAMES.items():
          if class_name in extractors:
               SCREAMING_SNAKE_CASE__   =   model_type_to_module_name(_A    )

               SCREAMING_SNAKE_CASE__   =   importlib.import_module(F'''.{module_name}'''				,		'''transformers.models'''    )
               try:
                    return getattr(_A				,		_A    )
               except AttributeError:
                    continue

     for _, extractor in IMAGE_PROCESSOR_MAPPING._extra_content.items():
          if getattr(_A				,		'''__name__'''				,		_A    ) == class_name:
               return extractor

    # We did not fine the class, but maybe it's because a dep is missing. In that case, the class will be in the main
    # init and we return the proper dummy to get an appropriate error message.
     SCREAMING_SNAKE_CASE__   =   importlib.import_module('''transformers'''    )
     if hasattr(_A				,		_A    ):
          return getattr(_A				,		_A    )

     return None
def     UpperCAmelCase_       (						_A				,		_A = None				,		_A = False				,		_A = False				,		_A = None				,		_A = None				,		_A = None				,		_A = False				,		**_A				,		):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   get_file_from_repo(
         _A				,		_A				,		cache_dir=_A				,		force_download=_A				,		resume_download=_A				,		proxies=_A				,		use_auth_token=_A				,		revision=_A				,		local_files_only=_A				,		)
     if resolved_config_file is None:
          logger.info(
              '''Could not locate the image processor configuration file, will try to use the model config instead.'''    )
          return {}

     with open(_A				,		encoding='''utf-8'''    ) as reader:
          return json.load(_A    )







class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		List[Any] )		->							int:
       raise EnvironmentError(
           '''AutoImageProcessor is designed to be instantiated '''
           '''using the `AutoImageProcessor.from_pretrained(pretrained_model_name_or_path)` method.''' )






  @classmethod
  @replace_list_option_in_docstrings(__lowerCamelCase )
  def 				lowercase_		(							cls						:		Optional[int]     ,       __lowerCamelCase						:		Any     ,       **__lowerCamelCase						:		Tuple )		->							List[str]:
       SCREAMING_SNAKE_CASE__   =   kwargs.pop('''config'''     ,       __lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   kwargs.pop('''trust_remote_code'''     ,       __lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   True

       SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__   =   ImageProcessingMixin.get_image_processor_dict(__lowerCamelCase     ,       **__lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   config_dict.get('''image_processor_type'''     ,       __lowerCamelCase )
       SCREAMING_SNAKE_CASE__   =   None
       if "AutoImageProcessor" in config_dict.get('''auto_map'''     ,       {} ):
            SCREAMING_SNAKE_CASE__   =   config_dict['''auto_map''']['''AutoImageProcessor''']

       # If we still don't have the image processor class, check if we're loading from a previous feature extractor config
       # and if so, infer the image processor class from there.
       if image_processor_class is None and image_processor_auto_map is None:
            SCREAMING_SNAKE_CASE__   =   config_dict.pop('''feature_extractor_type'''     ,       __lowerCamelCase )
            if feature_extractor_class is not None:
                 logger.warning(
                     '''Could not find image processor class in the image processor config or the model config. Loading'''
                     ''' based on pattern matching with the model\'s feature extractor configuration.''' )
                 SCREAMING_SNAKE_CASE__   =   feature_extractor_class.replace('''FeatureExtractor'''     ,       '''ImageProcessor''' )
            if "AutoFeatureExtractor" in config_dict.get('''auto_map'''     ,       {} ):
                 SCREAMING_SNAKE_CASE__   =   config_dict['''auto_map''']['''AutoFeatureExtractor''']
                 SCREAMING_SNAKE_CASE__   =   feature_extractor_auto_map.replace('''FeatureExtractor'''     ,       '''ImageProcessor''' )
                 logger.warning(
                     '''Could not find image processor auto map in the image processor config or the model config.'''
                     ''' Loading based on pattern matching with the model\'s feature extractor configuration.''' )

        # If we don't find the image processor class in the image processor config, let's try the model config.
       if image_processor_class is None and image_processor_auto_map is None:
            if not isinstance(__lowerCamelCase     ,       __lowerCamelCase ):
                 SCREAMING_SNAKE_CASE__   =   AutoConfig.from_pretrained(__lowerCamelCase     ,       **__lowerCamelCase )
            # It could be in `config.image_processor_type``
            SCREAMING_SNAKE_CASE__   =   getattr(__lowerCamelCase     ,       '''image_processor_type'''     ,       __lowerCamelCase )
            if hasattr(__lowerCamelCase     ,       '''auto_map''' ) and "AutoImageProcessor" in config.auto_map:
                 SCREAMING_SNAKE_CASE__   =   config.auto_map['''AutoImageProcessor''']

       if image_processor_class is not None:
            SCREAMING_SNAKE_CASE__   =   image_processor_class_from_name(__lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   image_processor_auto_map is not None
       SCREAMING_SNAKE_CASE__   =   image_processor_class is not None or type(__lowerCamelCase ) in IMAGE_PROCESSOR_MAPPING
       SCREAMING_SNAKE_CASE__   =   resolve_trust_remote_code(
           __lowerCamelCase     ,       __lowerCamelCase     ,       __lowerCamelCase     ,       __lowerCamelCase )

       if has_remote_code and trust_remote_code:
            SCREAMING_SNAKE_CASE__   =   get_class_from_dynamic_module(
                __lowerCamelCase     ,       __lowerCamelCase     ,       **__lowerCamelCase )
            SCREAMING_SNAKE_CASE__   =   kwargs.pop('''code_revision'''     ,       __lowerCamelCase )
            if os.path.isdir(__lowerCamelCase ):
                 image_processor_class.register_for_auto_class()
            return image_processor_class.from_dict(__lowerCamelCase     ,       **__lowerCamelCase )
       elif image_processor_class is not None:
            return image_processor_class.from_dict(__lowerCamelCase     ,       **__lowerCamelCase )
       # Last try: we use the IMAGE_PROCESSOR_MAPPING.
       elif type(__lowerCamelCase ) in IMAGE_PROCESSOR_MAPPING:
            SCREAMING_SNAKE_CASE__   =   IMAGE_PROCESSOR_MAPPING[type(__lowerCamelCase )]
            return image_processor_class.from_dict(__lowerCamelCase     ,       **__lowerCamelCase )

       raise ValueError(
           f'''Unrecognized image processor in {pretrained_model_name_or_path}. Should have a '''
           f'''`image_processor_type` key in its {IMAGE_PROCESSOR_NAME} of {CONFIG_NAME}, or one of the following '''
           f'''`model_type` keys in its {CONFIG_NAME}: {", ".join(c for c in IMAGE_PROCESSOR_MAPPING_NAMES.keys() )}''' )







  @staticmethod
  def 				lowercase_		(							__lowerCamelCase						:		Dict     ,       __lowerCamelCase						:		Optional[int] )		->							str:
       IMAGE_PROCESSOR_MAPPING.register(__lowerCamelCase     ,       __lowerCamelCase )


