


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


__UpperCamelCase				:  Optional[int]      					=							logging.get_logger(__name__)

__UpperCamelCase				:  str      					=							{}





class  lowerCAmelCase__(    __lowercase						):






    '''simple docstring'''





    A_  :     Tuple			= '''llama'''
    A_  :     Dict			= ['''past_key_values''']





    def __init__(	self				:   Optional[Any]       ,   __snake_case				:   Union[str, Any]=32_000       ,   __snake_case				:   Optional[Any]=4_096       ,   __snake_case				:   List[Any]=11_008       ,   __snake_case				:   List[str]=32       ,   __snake_case				:   List[Any]=32       ,   __snake_case				:   List[Any]=None       ,   __snake_case				:   int="silu"       ,   __snake_case				:   List[Any]=2_048       ,   __snake_case				:   List[str]=0.02       ,   __snake_case				:   Optional[int]=1E-6       ,   __snake_case				:   Any=True       ,   __snake_case				:   Optional[Any]=0       ,   __snake_case				:   List[str]=1       ,   __snake_case				:   int=2       ,   __snake_case				:   List[str]=1       ,   __snake_case				:   List[Any]=False       ,   __snake_case				:   str=None       ,   **__snake_case				:   List[Any]       ,   ):





       '''simple docstring'''
       UpperCAmelCase_							:      Dict						=   vocab_size
       UpperCAmelCase_							:      Union[str, Any]						=   max_position_embeddings
       UpperCAmelCase_							:      Tuple						=   hidden_size
       UpperCAmelCase_							:      Any						=   intermediate_size
       UpperCAmelCase_							:      Union[str, Any]						=   num_hidden_layers
       UpperCAmelCase_							:      List[Any]						=   num_attention_heads

       # for backward compatibility
       if num_key_value_heads is None:
          UpperCAmelCase_							:      Optional[int]						=   num_attention_heads

       UpperCAmelCase_							:      int						=   num_key_value_heads
       UpperCAmelCase_							:      Optional[int]						=   hidden_act
       UpperCAmelCase_							:      Optional[Any]						=   initializer_range
       UpperCAmelCase_							:      List[Any]						=   rms_norm_eps
       UpperCAmelCase_							:      List[Any]						=   pretraining_tp
       UpperCAmelCase_							:      str						=   use_cache
       UpperCAmelCase_							:      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 					_lowerCamelCase (	self				:   str	):





       '''simple docstring'''
       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}'''	)
       UpperCAmelCase_							:      Tuple						=   self.rope_scaling.get('''type'''       ,   __a	)
       UpperCAmelCase_							:      str						=   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}'''	)







import fire

from utils import calculate_rouge, save_json
def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase=None			,       **__lowercase       ):
   UpperCAmelCase_							:      Tuple						=   [x.strip() for x in open(__lowercase       ).readlines()]
   UpperCAmelCase_							:      Dict						=   [x.strip() for x in open(__lowercase       ).readlines()][: len(__lowercase       )]
   UpperCAmelCase_							:      int						=   calculate_rouge(__lowercase			,       __lowercase			,       **__lowercase       )
   if save_path is not None:
      save_json(__lowercase			,       __lowercase			,       indent=__lowercase       )
   return metrics  # these print nicely


if __name__ == "__main__":
       fire.Fire(calculate_rouge_path)