
'''simple docstring'''


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


__lowercase							:   Optional[Any]					=     logging.get_logger(__name__)

__lowercase							:   Dict					=     {
    '''s-JoL/Open-Llama-V1''': '''https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json''',
}

class 	__lowercase				(  _lowercase    ):
			lowerCamelCase			:		Dict	      =			"open-llama"

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

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






			def        UpperCAmelCase__ (self      ):
								if self.rope_scaling is None:
													return

								if not isinstance(self.rope_scaling			,   A      ) 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}"""      )
								lowerCamelCase_					:      Optional[Any]     =		self.rope_scaling.get('''type'''			,   A      )
								lowerCamelCase_					:      Dict     =		self.rope_scaling.get('''factor'''			,   A      )
								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(A			,   A      ) or rope_scaling_factor <= 1.0:
													raise ValueError(F"""`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"""      )








'''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=''', ''')


