"""simple docstring"""





def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    list:
							_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    len(__SCREAMING_SNAKE_CASE  )
							for _ in range(__SCREAMING_SNAKE_CASE  ):
														for i in range(_ % 2     ,	arr_size - 1     ,	2  ):
																					if arr[i + 1] < arr[i]:
																												_SCREAMING_SNAKE_CASE		:						Tuple			  =    arr[i + 1], arr[i]

							return arr


if __name__ == "__main__":
			lowerCAmelCase_     =	list(range(10, 0, -1))
			print(F"Original: {arr}. Sorted: {odd_even_transposition(arr)}")



"""simple docstring"""





from typing import TYPE_CHECKING

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


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

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


