





import random






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]					,   UpperCamelCase__:							str					,   UpperCamelCase__:							str    ):
		SCREAMING_SNAKE_CASE__			=      a[left_index]
		SCREAMING_SNAKE_CASE__			=      left_index + 1
		for j in range(left_index + 1					,   UpperCamelCase__    ):
				if a[j] < pivot:
						SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      a[i], a[j]
						i += 1
		SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      a[i - 1], a[left_index]
		return i - 1






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Optional[int]					,   UpperCamelCase__:							List[Any]					,   UpperCamelCase__:							str    ):
		if left < right:
				SCREAMING_SNAKE_CASE__			=      random.randint(UpperCamelCase__					,   right - 1    )
				SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      (
				    a[left],
				    a[pivot],
				)  # switches the pivot with the left most bound
				SCREAMING_SNAKE_CASE__			=      partition(UpperCamelCase__					,   UpperCamelCase__					,   UpperCamelCase__    )
				quick_sort_random(
				    UpperCamelCase__					,   UpperCamelCase__					,   UpperCamelCase__    )  # recursive quicksort to the left of the pivot point
				quick_sort_random(
				    UpperCamelCase__					,   pivot_index + 1					,   UpperCamelCase__    )  # recursive quicksort to the right of the pivot point






def 				SCREAMING_SNAKE_CASE__							(       ):
		SCREAMING_SNAKE_CASE__			=      input("""Enter numbers separated by a comma:\n"""    ).strip()
		SCREAMING_SNAKE_CASE__			=      [int(UpperCamelCase__    ) for item in user_input.split(""","""    )]

		quick_sort_random(UpperCamelCase__					,   0					,   len(UpperCamelCase__    )    )

		print(UpperCamelCase__    )


if __name__ == "__main__":
			main()






from typing import TYPE_CHECKING

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


_lowerCamelCase   				=			{
    'configuration_layoutlmv3': [
        'LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'LayoutLMv3Config',
        'LayoutLMv3OnnxConfig',
    ],
    'processing_layoutlmv3': ['LayoutLMv3Processor'],
    'tokenization_layoutlmv3': ['LayoutLMv3Tokenizer'],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase   				=			['LayoutLMv3TokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase   				=			[
	    'LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'LayoutLMv3ForQuestionAnswering',
	    'LayoutLMv3ForSequenceClassification',
	    'LayoutLMv3ForTokenClassification',
	    'LayoutLMv3Model',
	    'LayoutLMv3PreTrainedModel',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase   				=			[
	    'TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'TFLayoutLMv3ForQuestionAnswering',
	    'TFLayoutLMv3ForSequenceClassification',
	    'TFLayoutLMv3ForTokenClassification',
	    'TFLayoutLMv3Model',
	    'TFLayoutLMv3PreTrainedModel',
	]

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase   				=			['LayoutLMv3FeatureExtractor']
	_lowerCamelCase   				=			['LayoutLMv3ImageProcessor']


if TYPE_CHECKING:
	from .configuration_layoutlmva import (
	    LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    LayoutLMvaConfig,
	    LayoutLMvaOnnxConfig,
	)
	from .processing_layoutlmva import LayoutLMvaProcessor
	from .tokenization_layoutlmva import LayoutLMvaTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_layoutlmva import (
		    LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
		    LayoutLMvaForQuestionAnswering,
		    LayoutLMvaForSequenceClassification,
		    LayoutLMvaForTokenClassification,
		    LayoutLMvaModel,
		    LayoutLMvaPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_layoutlmva import (
		    TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFLayoutLMvaForQuestionAnswering,
		    TFLayoutLMvaForSequenceClassification,
		    TFLayoutLMvaForTokenClassification,
		    TFLayoutLMvaModel,
		    TFLayoutLMvaPreTrainedModel,
		)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor
		from .image_processing_layoutlmva import LayoutLMvaImageProcessor

else:
	import sys

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