






'''simple docstring'''







from PIL import Image





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> Union[str, Any]:
       lowerCamelCase__						,	lowerCamelCase__      :			Optional[Any] 						= image.size
       lowerCamelCase__      :			int 						= 0
       lowerCamelCase__      :			Optional[Any] 						= image.load()
       for i in range(__A   ):
              for j in range(__A   ):
                     lowerCamelCase__      :			int 						= pixels[j, i]
                     mean += pixel
       mean //= width * height

       for j in range(__A   ):
              for i in range(__A   ):
                     lowerCamelCase__      :			Any 						= 255 if pixels[i, j] > mean else 0
       return image


if __name__ == "__main__":
   _A			:    int					  =mean_threshold(Image.open('''path_to_image''').convert('''L'''))
   image.save('''output_image_path''')









'''simple docstring'''







from typing import TYPE_CHECKING

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


_A			:    Any					  ={
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A			:    str					  =[
			    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''TrOCRForCausalLM''',
			    '''TrOCRPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
			from .processing_trocr import TrOCRProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
			import sys

			_A			:    Dict					  =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

