





"""simple docstring"""



import warnings

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


a_			=      logging.get_logger(__name__)

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






class 		__snake_case (		SCREAMING_SNAKE_CASE_					):





 """simple docstring"""


 _lowerCamelCase				=					"""mvp"""
 _lowerCamelCase				=					["""past_key_values"""]
 _lowerCamelCase				=					{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}

 def __init__(   self ,						__lowerCamelCase=5_0267 ,						__lowerCamelCase=1024 ,						__lowerCamelCase=12 ,						__lowerCamelCase=4096 ,						__lowerCamelCase=16 ,						__lowerCamelCase=12 ,						__lowerCamelCase=4096 ,						__lowerCamelCase=16 ,						__lowerCamelCase=0.0 ,						__lowerCamelCase=0.0 ,						__lowerCamelCase="gelu" ,						__lowerCamelCase=1024 ,						__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 ,						):



     '''simple docstring'''




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

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

     if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated''' ,						snake_case__  ):
         __A   :						Any									=					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"""



from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url






class 		__snake_case (		SCREAMING_SNAKE_CASE__					):





 """simple docstring"""


 _lowerCamelCase				=					""""""
 _lowerCamelCase				=					"""hf-legacy"""  # "hf://"" is reserved for hffs

 def __init__(   self ,						__lowerCamelCase = None ,						__lowerCamelCase = None ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     super().__init__(self ,						**__lowerCamelCase  )
     __A   :						int									=					repo_info
     __A   :						Optional[int]									=					token
     __A   :						int									=					None

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     if self.dir_cache is None:
         __A   :						int									=					{}
         for hf_file in self.repo_info.siblings:
             # TODO(QL): add sizes
             __A   :						Tuple									=					{
                 '''name''': hf_file.rfilename,
                 '''size''': None,
                 '''type''': '''file''',
             }
             self.dir_cache.update(
                 {
                     str(__lowerCamelCase  ): {'''name''': str(__lowerCamelCase  ), '''size''': None, '''type''': '''directory'''}
                     for d in list(PurePosixPath(hf_file.rfilename  ).parents  )[:-1]
                 }  )

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = "rb" ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     if not isinstance(self.repo_info ,						__lowerCamelCase  ):
         raise NotImplementedError(F"""Open is only implemented for dataset repositories, but got {self.repo_info}"""  )
     __A   :						Union[str, Any]									=					hf_hub_url(self.repo_info.id ,						__lowerCamelCase ,						revision=self.repo_info.sha  )
     return fsspec.open(
         __lowerCamelCase ,						mode=__lowerCamelCase ,						headers=get_authentication_headers_for_url(__lowerCamelCase ,						use_auth_token=self.token  ) ,						client_kwargs={'''trust_env''': True} ,						).open()

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						**__lowerCamelCase  ):



     '''simple docstring'''




     self._get_dirs()
     __A   :						Optional[Any]									=					self._strip_protocol(__lowerCamelCase  )
     if path in self.dir_cache:
         return self.dir_cache[path]
     else:
         raise FileNotFoundError(__lowerCamelCase  )







 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase=False ,						**__lowerCamelCase  ):



     '''simple docstring'''




     self._get_dirs()
     __A   :						Any									=					PurePosixPath(path.strip('''/'''  )  )
     __A   :						Any									=					{}
     for p, f in self.dir_cache.items():
         __A   :						List[Any]									=					PurePosixPath(p.strip('''/'''  )  )
         __A   :						Dict									=					p.parent
         if root == path:
             __A   :						Union[str, Any]									=					f
     __A   :						List[str]									=					list(paths.values()  )
     if detail:
         return out
     else:
         return sorted(f['''name'''] for f in out  )




