'''simple docstring'''


import random





def       lowerCAmelCase					(		UpperCamelCase__				:   Union[str, Any]    ,					UpperCamelCase__				:   Tuple    ,					UpperCamelCase__				:   List[Any]       ):


	"""simple docstring"""
	__UpperCAmelCase							=			a[left_index]
	__UpperCAmelCase							=			left_index + 1
	for j in range(left_index + 1    ,					snake_case__       ):
		if a[j] < pivot:
			__UpperCAmelCase				,			__UpperCAmelCase							=			a[i], a[j]
			i += 1
	__UpperCAmelCase				,			__UpperCAmelCase							=			a[i - 1], a[left_index]
	return i - 1





def       lowerCAmelCase					(		UpperCamelCase__				:   Tuple    ,					UpperCamelCase__				:   Optional[Any]    ,					UpperCamelCase__				:   List[str]       ):


	"""simple docstring"""
	if left < right:
		__UpperCAmelCase							=			random.randint(snake_case__    ,					right - 1       )
		__UpperCAmelCase				,			__UpperCAmelCase							=			(
		    a[left],
		    a[pivot],
		)  # switches the pivot with the left most bound
		__UpperCAmelCase							=			partition(snake_case__    ,					snake_case__    ,					snake_case__       )
		quick_sort_random(
		    snake_case__    ,					snake_case__    ,					snake_case__       )  # recursive quicksort to the left of the pivot point
		quick_sort_random(
		    snake_case__    ,					pivot_index + 1    ,					snake_case__       )  # recursive quicksort to the right of the pivot point





def       lowerCAmelCase					(		):


	"""simple docstring"""
	__UpperCAmelCase							=			input('''Enter numbers separated by a comma:\n'''       ).strip()
	__UpperCAmelCase							=			[int(snake_case__       ) for item in user_input.split(''','''       )]

	quick_sort_random(snake_case__    ,					0    ,					len(snake_case__       )       )

	print(snake_case__       )


if __name__ == "__main__":
					main()

'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


__lowerCAmelCase	:       List[Any]						       =	{
    "configuration_audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase	:       str						       =	[
					    "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "ASTForAudioClassification",
					    "ASTModel",
					    "ASTPreTrainedModel",
					]

try:
					if not is_speech_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase	:       Union[str, Any]						       =	["ASTFeatureExtractor"]

if TYPE_CHECKING:
					from .configuration_audio_spectrogram_transformer import (
					    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    ASTConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_audio_spectrogram_transformer import (
										    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ASTForAudioClassification,
										    ASTModel,
										    ASTPreTrainedModel,
										)

					try:
										if not is_speech_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
					import sys

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