






import operator






def 						a    (		lowerCamelCase_	,     lowerCamelCase_ = False	,     lowerCamelCase_ = None       ):






				'''simple docstring'''
				lowercase__     				=    operator.lt if reverse else operator.gt
				lowercase__     				=    solution or []

				if not arr:
								return solution

				lowercase__     				=    [arr.pop(0       )]
				for i, item in enumerate(lowerCamelCase_       ):
								if _operator(lowerCamelCase_	,     sublist[-1]       ):
												sublist.append(lowerCamelCase_       )
												arr.pop(lowerCamelCase_       )

    #  merging sublist into solution list
				if not solution:
								solution.extend(lowerCamelCase_       )
				else:
								while sublist:
												lowercase__     				=    sublist.pop(0       )
												for i, xx in enumerate(lowerCamelCase_       ):
																if not _operator(lowerCamelCase_	,     lowerCamelCase_       ):
																				solution.insert(lowerCamelCase_	,     lowerCamelCase_       )
																				break
												else:
																solution.append(lowerCamelCase_       )

				strand_sort(lowerCamelCase_	,     lowerCamelCase_	,     lowerCamelCase_       )
				return solution


if __name__ == "__main__":
							assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
							assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]












from typing import TYPE_CHECKING

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


A__			:    Any         =				{'configuration_unispeech': ['UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechConfig']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A__			:    Union[str, Any]         =				[
							    '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

							A__			:    List[Any]         =				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




