





# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


__lowerCamelCase :  Union[str, Any]										=  [
    """EAGER""",
    """AOT_EAGER""",
    """INDUCTOR""",
    """NVFUSER""",
    """AOT_NVFUSER""",
    """AOT_CUDAGRAPHS""",
    """OFI""",
    """FX2TRT""",
    """ONNXRT""",
    """IPEX""",
]



def 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase=None							,     _lowerCAmelCase=None							,     _lowerCAmelCase=None  )		->				str:
 UpperCamelCase			:      int 			=     True
 while ask_again:
  UpperCamelCase			:      Dict 			=     input(_lowerCAmelCase  )
  try:
   if default is not None and len(_lowerCAmelCase  ) == 0:
    return default
   return convert_value(_lowerCAmelCase  ) if convert_value is not None else result
  except Exception:
   if error_message is not None:
    print(_lowerCAmelCase  )



def 	A_       (  _lowerCAmelCase							,     _lowerCAmelCase=[]							,     _lowerCAmelCase=None							,     _lowerCAmelCase=0  )		->				List[Any]:
 UpperCamelCase			:      int 			=     BulletMenu(_lowerCAmelCase							,     _lowerCAmelCase  )
 UpperCamelCase			:      Optional[int] 			=     menu.run(default_choice=_lowerCAmelCase  )
 return convert_value(_lowerCAmelCase  ) if convert_value is not None else result



def 	A_       (  _lowerCAmelCase  )		->				Optional[int]:
 UpperCamelCase			:      Any 			=     int(_lowerCAmelCase  )
 return ComputeEnvironment(["LOCAL_MACHINE", "AMAZON_SAGEMAKER"][value]  )



def 	A_       (  _lowerCAmelCase  )		->				Union[str, Any]:
 UpperCamelCase			:      Dict 			=     int(_lowerCAmelCase  )
 return DistributedType(["NO", "MULTI_CPU", "MULTI_XPU", "MULTI_GPU", "MULTI_NPU", "TPU"][value]  )



def 	A_       (  _lowerCAmelCase  )		->				Any:
 UpperCamelCase			:      int 			=     int(_lowerCAmelCase  )
 return DynamoBackend(DYNAMO_BACKENDS[value]  ).value



def 	A_       (  _lowerCAmelCase  )		->				Dict:
 UpperCamelCase			:      Dict 			=     int(_lowerCAmelCase  )
 return PrecisionType(["no", "fp16", "bf16", "fp8"][value]  )



def 	A_       (  _lowerCAmelCase  )		->				Optional[Any]:
 UpperCamelCase			:      List[Any] 			=     int(_lowerCAmelCase  )
 return SageMakerDistributedType(["NO", "DATA_PARALLEL", "MODEL_PARALLEL"][value]  )



def 	A_       (  _lowerCAmelCase  )		->				Any:
 return {"yes": True, "no": False}[value.lower()]



class       A__     ( argparse.RawDescriptionHelpFormatter    ):





      def  __UpperCamelCase(				self ,							A_ ,							A_ ,							A_ ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      int 			=     super()._format_usage(A_ ,							A_ ,							A_ ,							A_     )
       UpperCamelCase			:      List[Any] 			=     usage.replace("<command> [<args>] " ,							""     )
       return usage







from PIL import Image



def 	A_       (  _lowerCAmelCase  )		->				Image:
 UpperCamelCase			,					UpperCamelCase			:      List[Any] 			=     image.size
 UpperCamelCase			:      Union[str, Any] 			=     0
 UpperCamelCase			:      List[str] 			=     image.load()
 for i in range(_lowerCAmelCase  ):
  for j in range(_lowerCAmelCase  ):
   UpperCamelCase			:      List[Any] 			=     pixels[j, i]
   mean += pixel
 mean //= width * height

 for j in range(_lowerCAmelCase  ):
  for i in range(_lowerCAmelCase  ):
   UpperCamelCase			:      Union[str, Any] 			=     255 if pixels[i, j] > mean else 0
 return image


if __name__ == "__main__":
    __lowerCamelCase :  Union[str, Any]										=  mean_threshold(Image.open("""path_to_image""").convert("""L"""))
    image.save("""output_image_path""")
