
def 						__magic_name__			(   __a      :	int						):



     '''simple docstring'''




     if not isinstance(__lowerCamelCase	,		__lowerCamelCase						):
          raise TypeError("""only integers accepted as input"""						)
     else:
          UpperCamelCase__				=    str(abs(__lowerCamelCase						)						)
          UpperCamelCase__				=    [list(__lowerCamelCase						) for char in range(len(__lowerCamelCase						)						)]
          for index in range(len(__lowerCamelCase						)						):
               num_transpositions[index].pop(__lowerCamelCase						)
          return max(
              int("""""".join(list(__lowerCamelCase						)						)						) for transposition in num_transpositions						)


if __name__ == "__main__":
    __import__('''doctest''').testmod()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_						     =					{
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase_						     =					[
        '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''GitForCausalLM''',
        '''GitModel''',
        '''GitPreTrainedModel''',
        '''GitVisionModel''',
    ]

if TYPE_CHECKING:
    from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
    from .processing_git import GitProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_git import (
            GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            GitForCausalLM,
            GitModel,
            GitPreTrainedModel,
            GitVisionModel,
        )

else:
    import sys

    lowerCamelCase_						     =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





