
'''simple docstring'''


import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin

class 	__lowercase				(  SCREAMING_SNAKE_CASE__      ,     SCREAMING_SNAKE_CASE__      ,     SCREAMING_SNAKE_CASE__    ):

			@register_to_config
			def __init__(self			,   A			,   A			,   A			,   A			,   A			,   A			,   A			,   A			,   A			,   A = False			,   ):
								super().__init__()

								lowerCamelCase_					:      List[str]     =		nn.Embedding(snake_case__			,   snake_case__      )

								lowerCamelCase_					:      str     =		nn.Embedding(snake_case__			,   snake_case__      )
								lowerCamelCase_					:      Tuple     =		False

								lowerCamelCase_					:      Union[str, Any]     =		nn.Dropout(p=snake_case__      )

								lowerCamelCase_					:      Optional[int]     =		TaConfig(
								    vocab_size=snake_case__			,   d_model=snake_case__			,   num_heads=snake_case__			,   d_kv=snake_case__			,   d_ff=snake_case__			,   dropout_rate=snake_case__			,   feed_forward_proj=snake_case__			,   is_decoder=snake_case__			,   is_encoder_decoder=snake_case__			,   )

								lowerCamelCase_					:      Union[str, Any]     =		nn.ModuleList()
								for lyr_num in range(snake_case__      ):
													lowerCamelCase_					:      Tuple     =		TaBlock(snake_case__      )
													self.encoders.append(snake_case__      )

								lowerCamelCase_					:      List[Any]     =		TaLayerNorm(snake_case__      )
								lowerCamelCase_					:      Optional[int]     =		nn.Dropout(p=snake_case__      )






			def        UpperCAmelCase__ (self			,   A			,   A      ):
								lowerCamelCase_					:      Any     =		self.token_embedder(snake_case__      )

								lowerCamelCase_					:      Any     =		encoder_input_tokens.shape[1]
								lowerCamelCase_					:      Tuple     =		torch.arange(snake_case__			,   device=encoder_input_tokens.device      )
								x += self.position_encoding(snake_case__      )

								lowerCamelCase_					:      Dict     =		self.dropout_pre(snake_case__      )

								# inverted the attention mask
								lowerCamelCase_					:      Union[str, Any]     =		encoder_input_tokens.size()
								lowerCamelCase_					:      Dict     =		self.get_extended_attention_mask(snake_case__			,   snake_case__      )

								for lyr in self.encoders:
													lowerCamelCase_					:      int     =		lyr(snake_case__			,   snake_case__      )[0]
								lowerCamelCase_					:      Tuple     =		self.layer_norm(snake_case__      )

								return self.dropout_post(snake_case__      ), encoder_inputs_mask








'''simple docstring'''


from __future__ import annotations




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase			,       _lowercase				)     ->							None:
					'''simple docstring'''

					if (direction == 1 and array[indexa] > array[indexa]) or (
					    direction == 0 and array[indexa] < array[indexa]
					):
										lowerCamelCase_,      lowerCamelCase_					:      str     =		array[indexa], array[indexa]




def lowercase_	(   _lowercase			,       _lowercase			,       _lowercase			,       _lowercase				)     ->							None:
					'''simple docstring'''

					if length > 1:
										lowerCamelCase_					:      int     =		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 lowercase_	(   _lowercase			,       _lowercase			,       _lowercase			,       _lowercase				)     ->							None:
					'''simple docstring'''

					if length > 1:
										lowerCamelCase_					:      Dict     =		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__":
					__lowercase							:   Any					=     input('''Enter numbers separated by a comma:\n''').strip()
					__lowercase							:   Tuple					=     [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=''', ''')


