
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__a  			=					logging.get_logger(__name__)

__a  			=					{
    's-JoL/Open-Llama-V1': 'https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json',
}
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Optional[Any]         =	'open-llama'
	def __init__(       self  :			Optional[int]       ,							SCREAMING_SNAKE_CASE_  :			Tuple=1_0_0_0_0_0       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=4_0_9_6       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=1_1_0_0_8       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=3_2       ,							SCREAMING_SNAKE_CASE_  :			Dict=3_2       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]="silu"       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=2_0_4_8       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0.02       ,							SCREAMING_SNAKE_CASE_  :			List[str]=1e-6       ,							SCREAMING_SNAKE_CASE_  :			Dict=True       ,							SCREAMING_SNAKE_CASE_  :			int=0       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=1       ,							SCREAMING_SNAKE_CASE_  :			Tuple=2       ,							SCREAMING_SNAKE_CASE_  :			List[str]=False       ,							SCREAMING_SNAKE_CASE_  :			List[str]=True       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.1       ,							SCREAMING_SNAKE_CASE_  :			int=0.1       ,							SCREAMING_SNAKE_CASE_  :			Dict=True       ,							SCREAMING_SNAKE_CASE_  :			Any=True       ,							SCREAMING_SNAKE_CASE_  :			Dict=None       ,							**SCREAMING_SNAKE_CASE_  :			Tuple       ,							)       ->     Any:
					lowercase_       =					vocab_size
					lowercase_       =					max_position_embeddings
					lowercase_       =					hidden_size
					lowercase_       =					intermediate_size
					lowercase_       =					num_hidden_layers
					lowercase_       =					num_attention_heads
					lowercase_       =					hidden_act
					lowercase_       =					initializer_range
					lowercase_       =					rms_norm_eps
					lowercase_       =					use_cache
					lowercase_       =					kwargs.pop(
					    '''use_memorry_efficient_attention'''       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					hidden_dropout_prob
					lowercase_       =					attention_dropout_prob
					lowercase_       =					use_stable_embedding
					lowercase_       =					shared_input_output_embedding
					lowercase_       =					rope_scaling
					self._rope_scaling_validation()

					super().__init__(
					    pad_token_id=SCREAMING_SNAKE_CASE_       ,							bos_token_id=SCREAMING_SNAKE_CASE_       ,							eos_token_id=SCREAMING_SNAKE_CASE_       ,							tie_word_embeddings=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       ,							)




	def 						_lowercase  (       self  :			Dict       )       ->     Tuple:
					if self.rope_scaling is None:
									return

					if not isinstance(self.rope_scaling       ,							SCREAMING_SNAKE_CASE_       ) or len(self.rope_scaling       ) != 2:
									raise ValueError(
									    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
									    f'''got {self.rope_scaling}'''       )
					lowercase_       =					self.rope_scaling.get('''type'''       ,							SCREAMING_SNAKE_CASE_       )
					lowercase_       =					self.rope_scaling.get('''factor'''       ,							SCREAMING_SNAKE_CASE_       )
					if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
									raise ValueError(
									    f'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''       )
					if rope_scaling_factor is None or not isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ) or rope_scaling_factor <= 1.0:
									raise ValueError(f'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''       )






from __future__ import annotations




def 				a						(							snake_case__:					list[int]						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


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




def 				a						(							snake_case__:					list[int]						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


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




def 				a						(							snake_case__:					list[int]						,   snake_case__:					int						,   snake_case__:					int						,   snake_case__:					int					):


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


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=', ')




