



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


_lowercase	  =		logging.get_logger(__name__)

_lowercase	  =		{}



class     _UpperCAmelCase			(       A__     ):
     UpperCamelCase__		    =				'''llama'''
     UpperCamelCase__		    =				['''past_key_values''']




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

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

         A__		 =					num_key_value_heads
         A__		 =					hidden_act
         A__		 =					initializer_range
         A__		 =					rms_norm_eps
         A__		 =					pretraining_tp
         A__		 =					use_cache
         A__		 =					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 		snake_case_		(				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}")
         A__		 =					self.rope_scaling.get('''type''' ,						a__)
         A__		 =					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}")





def 		lowerCAmelCase__    (					UpperCamelCase_				:       float ,       UpperCamelCase_				:       int	)->  float:
    if digit_amount > 0:
        return round(number - int(UpperCamelCase_	) ,       UpperCamelCase_	)
    return number - int(UpperCamelCase_	)


if __name__ == "__main__":
   print(decimal_isolate(1.53, 0))
   print(decimal_isolate(35.345, 1))
   print(decimal_isolate(35.345, 2))
   print(decimal_isolate(35.345, 3))
   print(decimal_isolate(-14.789, 3))
   print(decimal_isolate(0, 2))
   print(decimal_isolate(-14.123, 1))
   print(decimal_isolate(-14.123, 2))
   print(decimal_isolate(-14.123, 3))
