



"""simple docstring"""





from PIL import Image
def 						__lowerCAmelCase    (		__UpperCamelCase   :      Image     ):


						'''simple docstring'''






						snake_case_      ,		snake_case_ :			Optional[Any]            =      image.size
						snake_case_ :			Optional[int]            =      0
						snake_case_ :			str            =      image.load()
						for i in range(UpperCamelCase__     ):
												for j in range(UpperCamelCase__     ):
																		snake_case_ :			Optional[Any]            =      pixels[j, i]
																		mean += pixel
						mean //= width * height

						for j in range(UpperCamelCase__     ):
												for i in range(UpperCamelCase__     ):
																		snake_case_ :			Union[str, Any]            =      2_5_5 if pixels[i, j] > mean else 0
						return image


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








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__: List[Any]							   =						{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__: Any							   =						[
           'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
           'XCLIPModel',
           'XCLIPPreTrainedModel',
           'XCLIPTextModel',
           'XCLIPVisionModel',
       ]

if TYPE_CHECKING:
       from .configuration_x_clip import (
           XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
           XCLIPConfig,
           XCLIPTextConfig,
           XCLIPVisionConfig,
       )
       from .processing_x_clip import XCLIPProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_x_clip import (
                  XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  XCLIPModel,
                  XCLIPPreTrainedModel,
                  XCLIPTextModel,
                  XCLIPVisionModel,
              )

else:
       import sys

       a__: Optional[Any]							   =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





