

'''simple docstring'''

import warnings

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


UpperCAmelCase       =     logging.get_logger(__name__)

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


class      lowerCAmelCase   (					lowercase_      ):
       lowerCAmelCase_				=       """mvp"""
       lowerCAmelCase_				=       ["""past_key_values"""]
       lowerCAmelCase_				=       {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







       def __init__(							self	:       Any  ,					__lowercase	:       Optional[int]=50267  ,					__lowercase	:       Tuple=1024  ,					__lowercase	:       int=12  ,					__lowercase	:       Tuple=4096  ,					__lowercase	:       Dict=16  ,					__lowercase	:       int=12  ,					__lowercase	:       Optional[int]=4096  ,					__lowercase	:       Optional[int]=16  ,					__lowercase	:       Tuple=0.0  ,					__lowercase	:       Tuple=0.0  ,					__lowercase	:       List[Any]="gelu"  ,					__lowercase	:       Union[str, Any]=1024  ,					__lowercase	:       Optional[Any]=0.1  ,					__lowercase	:       str=0.0  ,					__lowercase	:       str=0.0  ,					__lowercase	:       Optional[Any]=0.0_2  ,					__lowercase	:       List[str]=0.0  ,					__lowercase	:       List[str]=False  ,					__lowercase	:       Optional[int]=True  ,					__lowercase	:       Any=1  ,					__lowercase	:       int=0  ,					__lowercase	:       int=2  ,					__lowercase	:       Any=True  ,					__lowercase	:       Optional[Any]=2  ,					__lowercase	:       Optional[Any]=2  ,					__lowercase	:       Tuple=False  ,					__lowercase	:       int=100  ,					__lowercase	:       Optional[Any]=800  ,					**__lowercase	:       str  ,					):







            """simple docstring"""







            __lowercase							=vocab_size
            __lowercase							=max_position_embeddings
            __lowercase							=d_model
            __lowercase							=encoder_ffn_dim
            __lowercase							=encoder_layers
            __lowercase							=encoder_attention_heads
            __lowercase							=decoder_ffn_dim
            __lowercase							=decoder_layers
            __lowercase							=decoder_attention_heads
            __lowercase							=dropout
            __lowercase							=attention_dropout
            __lowercase							=activation_dropout
            __lowercase							=activation_function
            __lowercase							=init_std
            __lowercase							=encoder_layerdrop
            __lowercase							=decoder_layerdrop
            __lowercase							=classifier_dropout
            __lowercase							=use_cache
            __lowercase							=encoder_layers
            __lowercase							=scale_embedding  # scale factor will be sqrt(d_model) if True
            __lowercase							=use_prompt
            __lowercase							=prompt_length
            __lowercase							=prompt_mid_dim

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

            if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'  ,					__lowercase					):
                 __lowercase							=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.'					)






'''simple docstring'''

# Lint as: python3
import itertools
import os
import re


lowerCamelCase							:   Any  						=	re.compile(R'([A-Z]+)([A-Z][a-z])')
lowerCamelCase							:   str  						=	re.compile(R'([a-z\d])([A-Z])')

lowerCamelCase							:   Optional[int]  						=	re.compile(R'(?<!_)_(?!_)')
lowerCamelCase							:   List[Any]  						=	re.compile(R'(_{2,})')

lowerCamelCase							:   str  						=	R'^\w+(\.\w+)*$'

lowerCamelCase							:   Dict  						=	R'<>:/\|?*'

def _SCREAMING_SNAKE_CASE      (A       )       ->       Any:






       """simple docstring"""







       lowercase__      			= _uppercase_uppercase_re.sub(R'''\1_\2'''  , A       )
       lowercase__      			= _lowercase_uppercase_re.sub(R'''\1_\2'''  , A       )
       return name.lower()

def _SCREAMING_SNAKE_CASE      (A       )       ->       Tuple:






       """simple docstring"""







       lowercase__      			= _single_underscore_re.split(A       )
       lowercase__      			= [_multiple_underscores_re.split(A       ) for n in name]
       return "".join(n.capitalize() for n in itertools.chain.from_iterable(A       ) if n != ''''''       )

def _SCREAMING_SNAKE_CASE      (A       )       ->       Tuple:






       """simple docstring"""







       if os.path.basename(A       ) != name:
              raise ValueError(f"Should be a dataset name, not a path: {name}"       )
       return camelcase_to_snakecase(A       )

def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       Optional[Any]:






       """simple docstring"""







       if os.path.basename(A       ) != name:
              raise ValueError(f"Should be a dataset name, not a path: {name}"       )
       if not re.match(_split_re  , A       ):
              raise ValueError(f"Split name should match '{_split_re}'' but got '{split}'."       )
       return f"{filename_prefix_for_name(A       )}-{split}"

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A=None       )       ->       List[str]:






       """simple docstring"""







       lowercase__      			= filename_prefix_for_split(A  , A       )
       if filetype_suffix:
              prefix += f".{filetype_suffix}"
       lowercase__      			= os.path.join(A  , A       )
       return f"{filepath}*"

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A=None  , A=None       )       ->       Optional[Any]:






       """simple docstring"""







       lowercase__      			= filename_prefix_for_split(A  , A       )
       lowercase__      			= os.path.join(A  , A       )

       if shard_lengths:
              lowercase__      			= len(A       )
              lowercase__      			= [f"{prefix}-{shard_id:05d}-of-{num_shards:05d}" for shard_id in range(A       )]
              if filetype_suffix:
                     lowercase__      			= [filename + f".{filetype_suffix}" for filename in filenames]
              return filenames
       else:
              lowercase__      			= prefix
              if filetype_suffix:
                     filename += f".{filetype_suffix}"
              return [filename]




