





from __future__ import annotations


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__						):
		if (direction == 1 and array[indexa] > array[indexa]) or (
		    direction == 0 and array[indexa] < array[indexa]
		):
				lowerCamelCase_						,      lowerCamelCase_	:     int 						=      array[indexa], array[indexa]


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__						):
		if length > 1:
				lowerCamelCase_	:     Any 						=      int(length / 2						)
				for i in range(lowerCAmelCase__							,low + middle						):
						comp_and_swap(lowerCAmelCase__							,lowerCAmelCase__							,i + middle							,lowerCAmelCase__						)
				bitonic_merge(lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__						)
				bitonic_merge(lowerCAmelCase__							,low + middle							,lowerCAmelCase__							,lowerCAmelCase__						)


def 		_SCREAMING_SNAKE_CASE     ( lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__						):
		if length > 1:
				lowerCamelCase_	:     List[str] 						=      int(length / 2						)
				bitonic_sort(lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,1						)
				bitonic_sort(lowerCAmelCase__							,low + middle							,lowerCAmelCase__							,0						)
				bitonic_merge(lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__						)


if __name__ == "__main__":
		_lowercase		:  int			       =input("""Enter numbers separated by a comma:\n""").strip()
		_lowercase		:  Any			       =[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=""", """)







import os
import sys

_lowercase		:  List[str]			       =os.path.join(os.path.dirname(__file__), """src""")
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


_lowercase		:  Optional[int]			       =[
    """torch""",
    """numpy""",
    """tokenizers""",
    """filelock""",
    """requests""",
    """tqdm""",
    """regex""",
    """sentencepiece""",
    """sacremoses""",
    """importlib_metadata""",
    """huggingface_hub""",
]


@add_start_docstrings(AutoConfig.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoConfig.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)


@add_start_docstrings(AutoTokenizer.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoTokenizer.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)


@add_start_docstrings(AutoModel.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoModel.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)


@add_start_docstrings(AutoModelForCausalLM.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoModelForCausalLM.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)


@add_start_docstrings(AutoModelForMaskedLM.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoModelForMaskedLM.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)


@add_start_docstrings(AutoModelForSequenceClassification.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoModelForSequenceClassification.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)





@add_start_docstrings(AutoModelForQuestionAnswering.__doc__						)
def 		_SCREAMING_SNAKE_CASE     ( *lowerCAmelCase__							,**lowerCAmelCase__						):
		return AutoModelForQuestionAnswering.from_pretrained(*lowerCAmelCase__							,**lowerCAmelCase__						)
