



"""simple docstring"""




import random
from typing import Any

def 		__snake_case		( SCREAMING_SNAKE_CASE__      :		list							)    ->  list[Any]:





     '''simple docstring'''

     for _ in range(len(SCREAMING_SNAKE_CASE__							)							):
          _UpperCAmelCase     :      List[str]														=       random.randint(0		,    len(SCREAMING_SNAKE_CASE__							) - 1							)
          _UpperCAmelCase     :      Union[str, Any]														=       random.randint(0		,    len(SCREAMING_SNAKE_CASE__							) - 1							)
          _UpperCAmelCase							,			_UpperCAmelCase     :      List[Any]														=       data[b], data[a]
     return data


if __name__ == "__main__":
 _lowerCAmelCase							:   Dict				=				[0, 1, 2, 3, 4, 5, 6, 7]
 _lowerCAmelCase							:   Tuple				=				["python", "says", "hello", "!"]
 print("Fisher-Yates Shuffle:")
 print("List", integers, strings)
 print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase							:   List[Any]				=				{
    "configuration_lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase							:   int				=				[
     "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "LiltForQuestionAnswering",
     "LiltForSequenceClassification",
     "LiltForTokenClassification",
     "LiltModel",
     "LiltPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_lilt import (
      LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
      LiltForQuestionAnswering,
      LiltForSequenceClassification,
      LiltForTokenClassification,
      LiltModel,
      LiltPreTrainedModel,
  )

else:
 import sys

 _lowerCAmelCase							:   Optional[int]				=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
