


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case             =	{'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __snake_case             =	[
        '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''NatForImageClassification''',
        '''NatModel''',
        '''NatPreTrainedModel''',
        '''NatBackbone''',
    ]

if TYPE_CHECKING:
    from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_nat import (
            NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
            NatBackbone,
            NatForImageClassification,
            NatModel,
            NatPreTrainedModel,
        )

else:
    import sys

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






from __future__ import annotations






def 		_A		(		_lowercase   )				->   int | float:


     """simple docstring"""


     if len(_lowercase   ) == 0:
          raise ValueError('find_max() arg is an empty sequence'   )
     __UpperCamelCase   = nums[0]
     for x in nums:
          if x > max_num:
               __UpperCamelCase   = x
     return max_num


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)


