






"""simple docstring"""



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


__A		:       Dict  				=		logging.get_logger(__name__)

__A		:       int  				=		{}





class 					_UpperCAmelCase       ( _A							):
					SCREAMING_SNAKE_CASE_		:				Any							    =   "llama"
					SCREAMING_SNAKE_CASE_		:				List[str]							    =   ["past_key_values"]




					def __init__(				self     :						Optional[int]    ,						A     :						Union[str, Any]=3_20_00    ,						A     :						Any=40_96    ,						A     :						Optional[Any]=1_10_08    ,						A     :						Dict=32    ,						A     :						List[Any]=32    ,						A     :						Union[str, Any]=None    ,						A     :						Optional[int]="silu"    ,						A     :						List[Any]=20_48    ,						A     :						Dict=0.02    ,						A     :						List[Any]=1e-6    ,						A     :						int=True    ,						A     :						Dict=0    ,						A     :						List[str]=1    ,						A     :						Tuple=2    ,						A     :						Optional[Any]=1    ,						A     :						Optional[Any]=False    ,						A     :						Tuple=None    ,						**A     :						Optional[Any]    ,						)  ->  List[Any]:
							lowercase_ : List[Any]							       =   vocab_size
							lowercase_ : List[str]							       =   max_position_embeddings
							lowercase_ : str							       =   hidden_size
							lowercase_ : Any							       =   intermediate_size
							lowercase_ : Dict							       =   num_hidden_layers
							lowercase_ : Tuple							       =   num_attention_heads

							# for backward compatibility
							if num_key_value_heads is None:
									lowercase_ : Union[str, Any]							       =   num_attention_heads

							lowercase_ : Tuple							       =   num_key_value_heads
							lowercase_ : Tuple							       =   hidden_act
							lowercase_ : Optional[Any]							       =   initializer_range
							lowercase_ : Optional[Any]							       =   rms_norm_eps
							lowercase_ : Tuple							       =   pretraining_tp
							lowercase_ : List[Any]							       =   use_cache
							lowercase_ : Union[str, Any]							       =   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   A  (				self     :						Union[str, Any]   )  ->  Dict:
							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}'''   )
							lowercase_ : str							       =   self.rope_scaling.get('''type'''    ,						A   )
							lowercase_ : Optional[Any]							       =   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

__A		:       List[Any]  				=		[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
__A		:       str  				=		[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]



def 						lowercase    (				__snake_case				: list[float]	):
		lowercase_ : List[str]							       =   []
		lowercase_ : List[Any]							       =   len(__snake_case	)

		for i in range(__snake_case	):
				lowercase_ : float							       =   -1
				for j in range(i + 1		,					__snake_case	):
						if arr[i] < arr[j]:
								lowercase_ : List[str]							       =   arr[j]
								break
				result.append(__snake_case	)
		return result



def 						lowercase    (				__snake_case				: list[float]	):
		lowercase_ : List[str]							       =   []
		for i, outer in enumerate(__snake_case	):
				lowercase_ : float							       =   -1
				for inner in arr[i + 1 :]:
						if outer < inner:
								lowercase_ : List[Any]							       =   inner
								break
				result.append(__snake_case	)
		return result



def 						lowercase    (				__snake_case				: list[float]	):
		lowercase_ : List[str]							       =   len(__snake_case	)
		lowercase_ : list[float]							       =   []
		lowercase_ : list[float]							       =   [-1] * arr_size

		for index in reversed(range(__snake_case	)	):
				if stack:
						while stack[-1] <= arr[index]:
								stack.pop()
								if not stack:
										break
				if stack:
						lowercase_ : Optional[Any]							       =   stack[-1]
				stack.append(arr[index]	)
		return result


if __name__ == "__main__":
						from doctest import testmod
						from timeit import timeit

						testmod()
						print(next_greatest_element_slow(arr))
						print(next_greatest_element_fast(arr))
						print(next_greatest_element(arr))

						__A		:       int  				=		(
						    '''from __main__ import arr, next_greatest_element_slow, '''
						    '''next_greatest_element_fast, next_greatest_element'''
						)
						print(
						    '''next_greatest_element_slow():''',
						    timeit('''next_greatest_element_slow(arr)''', setup=setup),
						)
						print(
						    '''next_greatest_element_fast():''',
						    timeit('''next_greatest_element_fast(arr)''', setup=setup),
						)
						print(
						    '''     next_greatest_element():''',
						    timeit('''next_greatest_element(arr)''', setup=setup),
						)



