


import warnings

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


__lowerCAmelCase			=							logging.get_logger(__name__)

__lowerCAmelCase			=							{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}





class   __a      (   a__				):
 __lowercase			:							str       					=			'mvp'
 __lowercase			:							Tuple       					=			['past_key_values']
 __lowercase			:							Optional[Any]       					=			{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}
 def __init__(       self    ,			lowerCAmelCase__=50_267    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=4_096    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__=12    ,			lowerCAmelCase__=4_096    ,			lowerCAmelCase__=16    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__="gelu"    ,			lowerCAmelCase__=1_024    ,			lowerCAmelCase__=0.1    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=0.0_2    ,			lowerCAmelCase__=0.0    ,			lowerCAmelCase__=False    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__=1    ,			lowerCAmelCase__=0    ,			lowerCAmelCase__=2    ,			lowerCAmelCase__=True    ,			lowerCAmelCase__=2    ,			lowerCAmelCase__=2    ,			lowerCAmelCase__=False    ,			lowerCAmelCase__=100    ,			lowerCAmelCase__=800    ,			**lowerCAmelCase__    ,			) ->    int:




        '''simple docstring'''
        lowercase__:       List[Any]        =       vocab_size
        lowercase__:       Dict        =       max_position_embeddings
        lowercase__:       str        =       d_model
        lowercase__:       int        =       encoder_ffn_dim
        lowercase__:       Optional[Any]        =       encoder_layers
        lowercase__:       Dict        =       encoder_attention_heads
        lowercase__:       Optional[Any]        =       decoder_ffn_dim
        lowercase__:       Dict        =       decoder_layers
        lowercase__:       str        =       decoder_attention_heads
        lowercase__:       List[str]        =       dropout
        lowercase__:       str        =       attention_dropout
        lowercase__:       int        =       activation_dropout
        lowercase__:       List[str]        =       activation_function
        lowercase__:       Dict        =       init_std
        lowercase__:       List[Any]        =       encoder_layerdrop
        lowercase__:       int        =       decoder_layerdrop
        lowercase__:       int        =       classifier_dropout
        lowercase__:       int        =       use_cache
        lowercase__:       Any        =       encoder_layers
        lowercase__:       List[Any]        =       scale_embedding  # scale factor will be sqrt(d_model) if True
        lowercase__:       List[Any]        =       use_prompt
        lowercase__:       int        =       prompt_length
        lowercase__:       Optional[Any]        =       prompt_mid_dim

        super().__init__(
            pad_token_id=_lowerCamelCase    ,			bos_token_id=_lowerCamelCase    ,			eos_token_id=_lowerCamelCase    ,			is_encoder_decoder=_lowerCamelCase    ,			decoder_start_token_id=_lowerCamelCase    ,			forced_eos_token_id=_lowerCamelCase    ,			**_lowerCamelCase    ,			)

        if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'    ,			_lowerCamelCase			):
               lowercase__:       List[str]        =       self.bos_token_id
               warnings.warn(
                   F'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
                   'The config can simply be saved and uploaded again to be fixed.'			)






from __future__ import annotations




def        snake_case_					(  snake_case      ,							snake_case					)  ->    list[int]:
       lowercase__:       Tuple        =       0
       lowercase__:       str        =       len(snake_case					) - 1

       while i < j:
              if nums[i] + nums[j] == target:
                     return [i, j]
              elif nums[i] + nums[j] < target:
                     lowercase__:       str        =       i + 1
              else:
                     lowercase__:       Dict        =       j - 1

       return []


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(F'''{two_pointer([2, 7, 11, 15], 9) = }''')


