






"""simple docstring"""



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


__A		:       Union[str, Any]  				=		logging.get_logger(__name__)

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





class 					_UpperCAmelCase       ( _A							):
					SCREAMING_SNAKE_CASE_		:				List[str]							    =   "open-llama"




					def __init__(				self     :						Dict    ,						A     :						Optional[Any]=10_00_00    ,						A     :						Optional[int]=40_96    ,						A     :						Tuple=1_10_08    ,						A     :						List[Any]=32    ,						A     :						Optional[Any]=32    ,						A     :						List[str]="silu"    ,						A     :						Optional[int]=20_48    ,						A     :						Dict=0.02    ,						A     :						Tuple=1e-6    ,						A     :						Optional[int]=True    ,						A     :						Dict=0    ,						A     :						Any=1    ,						A     :						Optional[Any]=2    ,						A     :						Tuple=False    ,						A     :						Dict=True    ,						A     :						Dict=0.1    ,						A     :						int=0.1    ,						A     :						Optional[Any]=True    ,						A     :						List[str]=True    ,						A     :						int=None    ,						**A     :						Optional[int]    ,						)  ->  int:
							lowercase_ : Tuple							       =   vocab_size
							lowercase_ : Tuple							       =   max_position_embeddings
							lowercase_ : int							       =   hidden_size
							lowercase_ : Any							       =   intermediate_size
							lowercase_ : Dict							       =   num_hidden_layers
							lowercase_ : str							       =   num_attention_heads
							lowercase_ : Optional[Any]							       =   hidden_act
							lowercase_ : List[Any]							       =   initializer_range
							lowercase_ : Optional[Any]							       =   rms_norm_eps
							lowercase_ : List[str]							       =   use_cache
							lowercase_ : Dict							       =   kwargs.pop(
							    '''use_memorry_efficient_attention'''    ,						A   )
							lowercase_ : List[Any]							       =   hidden_dropout_prob
							lowercase_ : Tuple							       =   attention_dropout_prob
							lowercase_ : Tuple							       =   use_stable_embedding
							lowercase_ : Optional[int]							       =   shared_input_output_embedding
							lowercase_ : Optional[int]							       =   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     :						Optional[int]   )  ->  List[Any]:
							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_ : Any							       =   self.rope_scaling.get('''type'''    ,						A   )
							lowercase_ : int							       =   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

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray


def      lowercase			(				A_  ,   A_  ,   A_ = False       )->      list[float]:
  '''simple docstring'''







  if radian_mode:
    return [magnitude * cos(A_       ), magnitude * sin(A_       )]
  return [magnitude * cos(radians(A_       )       ), magnitude * sin(radians(A_       )       )]


def      lowercase			(				A_  ,   A_  ,   A_ = 10**-1       )->      bool:
  '''simple docstring'''







  a						:		NDArray[floataa]      							=			cross(A_  ,   A_       )
  a						:		float      							=			sum(A_       )
  return abs(A_       ) < eps


if __name__ == "__main__":
 # Test to check if it works
 __lowercase    					=      array(
     [
         polar_force(7_18.4, 180 - 30),
         polar_force(8_79.54, 45),
         polar_force(100, -90),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem 1 in image_data/2D_problems.jpg
 __lowercase    					=      array(
     [
         polar_force(30 * 9.81, 15),
         polar_force(215, 180 - 45),
         polar_force(264, 90 - 30),
     ]
 )

 __lowercase    					=      array([[0, 0], [0, 0], [0, 0]])

 assert in_static_equilibrium(forces, location)

 # Problem in image_data/2D_problems_1.jpg
 __lowercase    					=      array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])

 __lowercase    					=      array([[0, 0], [6, 0], [10, 0], [12, 0]])

 assert in_static_equilibrium(forces, location)

 import doctest

 doctest.testmod()






