

'''simple docstring'''




import random
from typing import Any


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : Tuple    ):
  for _ in range(len(lowerCAmelCase__    )    ):
    UpperCAmelCase    				=						random.randint(0							, len(lowerCAmelCase__    ) - 1    )
    UpperCAmelCase    				=						random.randint(0							, len(lowerCAmelCase__    ) - 1    )
    UpperCAmelCase				,   UpperCAmelCase    				=						data[b], data[a]
  return data


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






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE							    =							{
    'configuration_autoformer': [
        'AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'AutoformerConfig',
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE							    =							[
      'AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'AutoformerForPrediction',
      'AutoformerModel',
      'AutoformerPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_autoformer import (
      AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      AutoformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_autoformer import (
        AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        AutoformerForPrediction,
        AutoformerModel,
        AutoformerPreTrainedModel,
    )

else:
  import sys

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



