

from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	["""image_processor""", """tokenizer"""]
			__A    	=	"""BridgeTowerImageProcessor"""
			__A    	=	("""RobertaTokenizer""", """RobertaTokenizerFast""")


			def __init__(     self			,					__UpperCamelCase			,					__UpperCamelCase				):

				"""simple docstring"""


				super().__init__(__UpperCamelCase			,					__UpperCamelCase				)


			def __call__(     self			,					__UpperCamelCase			,					__UpperCamelCase = None			,					__UpperCamelCase = True			,					__UpperCamelCase = False			,					__UpperCamelCase = None			,					__UpperCamelCase = None			,					__UpperCamelCase = 0			,					__UpperCamelCase = None			,					__UpperCamelCase = None			,					__UpperCamelCase = None			,					__UpperCamelCase = False			,					__UpperCamelCase = False			,					__UpperCamelCase = False			,					__UpperCamelCase = False			,					__UpperCamelCase = True			,					__UpperCamelCase = None			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				snake_case_   		=			self.tokenizer(
				    text=__UpperCamelCase			,					add_special_tokens=__UpperCamelCase			,					padding=__UpperCamelCase			,					truncation=__UpperCamelCase			,					max_length=__UpperCamelCase			,					stride=__UpperCamelCase			,					pad_to_multiple_of=__UpperCamelCase			,					return_token_type_ids=__UpperCamelCase			,					return_attention_mask=__UpperCamelCase			,					return_overflowing_tokens=__UpperCamelCase			,					return_special_tokens_mask=__UpperCamelCase			,					return_offsets_mapping=__UpperCamelCase			,					return_length=__UpperCamelCase			,					verbose=__UpperCamelCase			,					return_tensors=__UpperCamelCase			,					**__UpperCamelCase			,					)
				# add pixel_values + pixel_mask
				snake_case_   		=			self.image_processor(
				    __UpperCamelCase			,					return_tensors=__UpperCamelCase			,					do_normalize=__UpperCamelCase			,					do_center_crop=__UpperCamelCase			,					**__UpperCamelCase				)
				encoding.update(__UpperCamelCase				)

				return encoding


			def       __lowerCAmelCase			(     self			,					*__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				return self.tokenizer.batch_decode(*__UpperCamelCase			,					**__UpperCamelCase				)


			def       __lowerCAmelCase			(     self			,					*__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				return self.tokenizer.decode(*__UpperCamelCase			,					**__UpperCamelCase				)







			@property
			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			self.tokenizer.model_input_names
				snake_case_   		=			self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)



from __future__ import annotations





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if (direction == 1 and array[indexa] > array[indexa]) or (
	    direction == 0 and array[indexa] < array[indexa]
	):
		snake_case_		,							snake_case_   		=			array[indexa], array[indexa]





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if length > 1:
		snake_case_   		=			int(length / 2						)
		for i in range(lowercase__      ,			low + middle						):
			comp_and_swap(lowercase__      ,			lowercase__      ,			i + middle      ,			lowercase__						)
		bitonic_merge(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						)
		bitonic_merge(lowercase__      ,			low + middle      ,			lowercase__      ,			lowercase__						)





def a(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						):





	'''simple docstring'''
	if length > 1:
		snake_case_   		=			int(length / 2						)
		bitonic_sort(lowercase__      ,			lowercase__      ,			lowercase__      ,			1						)
		bitonic_sort(lowercase__      ,			low + middle      ,			lowercase__      ,			0						)
		bitonic_merge(lowercase__      ,			lowercase__      ,			lowercase__      ,			lowercase__						)


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