


'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase							:       Optional[int]  						=     {
    'configuration_switch_transformers': [
        'SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SwitchTransformersConfig',
        'SwitchTransformersOnnxConfig',
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase							:       Any  						=     [
     'SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST',
     'SwitchTransformersEncoderModel',
     'SwitchTransformersForConditionalGeneration',
     'SwitchTransformersModel',
     'SwitchTransformersPreTrainedModel',
     'SwitchTransformersTop1Router',
     'SwitchTransformersSparseMLP',
 ]


if TYPE_CHECKING:
 from .configuration_switch_transformers import (
     SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
     SwitchTransformersConfig,
     SwitchTransformersOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_switch_transformers import (
      SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
      SwitchTransformersEncoderModel,
      SwitchTransformersForConditionalGeneration,
      SwitchTransformersModel,
      SwitchTransformersPreTrainedModel,
      SwitchTransformersSparseMLP,
      SwitchTransformersTopaRouter,
  )


else:
 import sys

 lowerCamelCase							:       Dict  						=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








'''simple docstring'''

def _SCREAMING_SNAKE_CASE				(A	)	->	list:






       """simple docstring"""







       lowercase__				      =			len(A	)

       # Set the gap value to be decreased by a factor of 1.3
       # after each iteration
       lowercase__				      =			1.3

       # Continue sorting until the gap is 1
       while gap > 1:
              # Decrease the gap value
              lowercase__				      =			int(gap / shrink	)

              # Sort the elements using insertion sort
              for i in range(A  ,			len(A	)	):
                     lowercase__				      =			collection[i]
                     lowercase__				      =			i
                     while j >= gap and collection[j - gap] > temp:
                            lowercase__				      =			collection[j - gap]
                            j -= gap
                     lowercase__				      =			temp

       return collection


if __name__ == "__main__":
 import doctest

 doctest.testmod()




