'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_A			:      Optional[Any]					      =				{
    '''configuration_conditional_detr''': [
        '''CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''ConditionalDetrConfig''',
        '''ConditionalDetrOnnxConfig''',
    ]
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A			:      Tuple					      =				['''ConditionalDetrFeatureExtractor''']
 _A			:      Optional[Any]					      =				['''ConditionalDetrImageProcessor''']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _A			:      str					      =				[
     '''CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''ConditionalDetrForObjectDetection''',
     '''ConditionalDetrForSegmentation''',
     '''ConditionalDetrModel''',
     '''ConditionalDetrPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_conditional_detr import (
     CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
     ConditionalDetrConfig,
     ConditionalDetrOnnxConfig,
 )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
  from .image_processing_conditional_detr import ConditionalDetrImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_conditional_detr import (
      CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
      ConditionalDetrForObjectDetection,
      ConditionalDetrForSegmentation,
      ConditionalDetrModel,
      ConditionalDetrPreTrainedModel,
  )

else:
 import sys

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







'''simple docstring'''

def      UpperCamelCase_						(					snake_case_       :       int						,		snake_case_       :       int      )					->     str:






 '''simple docstring'''

 if a < 0 or b < 0:
  raise ValueError("""the value of both inputs must be positive"""      )

 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"
 __lowerCAmelCase											=						str(bin(snake_case_      )      )[2:]  # remove the leading "0b"

 __lowerCAmelCase											=						max(len(snake_case_      )						,		len(snake_case_      )      )

 return "0b" + "".join(
     str(int(char_a == """1""" and char_b == """1"""      )      )
     for char_a, char_b in zip(a_binary.zfill(snake_case_      )						,		b_binary.zfill(snake_case_      )      )      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






