

from __future__ import annotations






def 							_lowerCAmelCase (      __magic_name__	:    list[int]      ,   __magic_name__	:    int      ,   __magic_name__	:    int      ,   __magic_name__	:    int	)							->     None:
						if (direction == 1 and array[indexa] > array[indexa]) or (
						    direction == 0 and array[indexa] < array[indexa]
						):
												lowercase   :       List[Any]								=array[indexa], array[indexa]






def 							_lowerCAmelCase (      __magic_name__	:    list[int]      ,   __magic_name__	:    int      ,   __magic_name__	:    int      ,   __magic_name__	:    int	)							->     None:
						if length > 1:
												lowercase   :       Dict								=int(length / 2	)
												for i in range(__magic_name__      ,   low + middle	):
																		comp_and_swap(__magic_name__      ,   __magic_name__      ,   i + middle      ,   __magic_name__	)
												bitonic_merge(__magic_name__      ,   __magic_name__      ,   __magic_name__      ,   __magic_name__	)
												bitonic_merge(__magic_name__      ,   low + middle      ,   __magic_name__      ,   __magic_name__	)






def 							_lowerCAmelCase (      __magic_name__	:    list[int]      ,   __magic_name__	:    int      ,   __magic_name__	:    int      ,   __magic_name__	:    int	)							->     None:
						if length > 1:
												lowercase   :       Tuple								=int(length / 2	)
												bitonic_sort(__magic_name__      ,   __magic_name__      ,   __magic_name__      ,   1	)
												bitonic_sort(__magic_name__      ,   low + middle      ,   __magic_name__      ,   0	)
												bitonic_merge(__magic_name__      ,   __magic_name__      ,   __magic_name__      ,   __magic_name__	)


if __name__ == "__main__":
							UpperCamelCase_							=					input("""Enter numbers separated by a comma:\n""").strip()
							UpperCamelCase_							=					[int(item.strip()) for item in user_input.split(""",""")]

							bitonic_sort(unsorted, 0, len(unsorted), 1)
							print("""\nSorted array in ascending order is: """, end="""""")
							print(*unsorted, sep=""", """)

							bitonic_merge(unsorted, 0, len(unsorted), 0)
							print("""Sorted array in descending order is: """, end="""""")
							print(*unsorted, sep=""", """)








'''simple docstring'''





from typing import TYPE_CHECKING

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


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





