



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE  :						Tuple    							=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      {}


class 							lowerCamelCase_(   _A    ):





					'''simple docstring'''



					lowercase__   :       Union[str, Any]										= 'llama'
					lowercase__   :       Optional[int]										= ['past_key_values']

					def __init__(    self				,       lowerCamelCase__=3_2_0_0_0				,       lowerCamelCase__=4_0_9_6				,       lowerCamelCase__=1_1_0_0_8				,       lowerCamelCase__=3_2				,       lowerCamelCase__=3_2				,       lowerCamelCase__=None				,       lowerCamelCase__="silu"				,       lowerCamelCase__=2_0_4_8				,       lowerCamelCase__=0.0_2				,       lowerCamelCase__=1e-6				,       lowerCamelCase__=True				,       lowerCamelCase__=0				,       lowerCamelCase__=1				,       lowerCamelCase__=2				,       lowerCamelCase__=1				,       lowerCamelCase__=False				,       lowerCamelCase__=None				,       **lowerCamelCase__				,       ):
									_lowerCamelCase        =				vocab_size
									_lowerCamelCase        =				max_position_embeddings
									_lowerCamelCase        =				hidden_size
									_lowerCamelCase        =				intermediate_size
									_lowerCamelCase        =				num_hidden_layers
									_lowerCamelCase        =				num_attention_heads

									# for backward compatibility
									if num_key_value_heads is None:
													_lowerCamelCase        =				num_attention_heads

									_lowerCamelCase        =				num_key_value_heads
									_lowerCamelCase        =				hidden_act
									_lowerCamelCase        =				initializer_range
									_lowerCamelCase        =				rms_norm_eps
									_lowerCamelCase        =				pretraining_tp
									_lowerCamelCase        =				use_cache
									_lowerCamelCase        =				rope_scaling
									self._rope_scaling_validation()

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





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

									if not isinstance(self.rope_scaling				,       lowerCamelCase__   ) 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        =				self.rope_scaling.get('''type'''				,       lowerCamelCase__   )
									_lowerCamelCase        =				self.rope_scaling.get('''factor'''				,       lowerCamelCase__   )
									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(lowerCamelCase__				,       lowerCamelCase__   ) 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 math import pow, sqrt



def        lowerCAmelCase_(   lowercase_     :							float						,   lowercase_     :							float						,   lowercase_     :							float							)	->       dict[str, float]:
				if (resistance, reactance, impedance).count(0							) != 1:
								raise ValueError('''One and only one argument must be 0'''							)
				if resistance == 0:
								return {"resistance": sqrt(pow(lowercase_						,   2							) - pow(lowercase_						,   2							)							)}
				elif reactance == 0:
								return {"reactance": sqrt(pow(lowercase_						,   2							) - pow(lowercase_						,   2							)							)}
				elif impedance == 0:
								return {"impedance": sqrt(pow(lowercase_						,   2							) + pow(lowercase_						,   2							)							)}
				else:
								raise ValueError('''Exactly one argument must be 0'''							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
