




import warnings

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


UpperCAmelCase_		:					Tuple          =  logging.get_logger(__name__)

UpperCAmelCase_		:					Optional[Any]          =  {
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}




class 		__A   (      UpperCamelCase__      ):
						UpperCamelCase      =       """mvp"""
						UpperCamelCase      =       ["""past_key_values"""]
						UpperCamelCase      =       {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}

						def __init__(		self :List[str]     ,			__snake_case :List[Any]=5_02_67     ,			__snake_case :List[str]=10_24     ,			__snake_case :Optional[int]=12     ,			__snake_case :Union[str, Any]=40_96     ,			__snake_case :List[Any]=16     ,			__snake_case :Union[str, Any]=12     ,			__snake_case :int=40_96     ,			__snake_case :Optional[int]=16     ,			__snake_case :List[Any]=0.0     ,			__snake_case :Union[str, Any]=0.0     ,			__snake_case :Any="gelu"     ,			__snake_case :int=10_24     ,			__snake_case :Tuple=0.1     ,			__snake_case :Optional[Any]=0.0     ,			__snake_case :Tuple=0.0     ,			__snake_case :Optional[int]=0.02     ,			__snake_case :Dict=0.0     ,			__snake_case :Union[str, Any]=False     ,			__snake_case :List[str]=True     ,			__snake_case :List[str]=1     ,			__snake_case :Optional[int]=0     ,			__snake_case :Optional[Any]=2     ,			__snake_case :int=True     ,			__snake_case :List[str]=2     ,			__snake_case :Any=2     ,			__snake_case :Union[str, Any]=False     ,			__snake_case :int=1_00     ,			__snake_case :Optional[Any]=8_00     ,			**__snake_case :Optional[int]     ,			):
										'''simple docstring'''

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







							__UpperCAmelCase		:       Union[str, Any]							 =""""""
							__UpperCAmelCase		:       Optional[int]							 ="""hf-legacy"""  # "hf://"" is reserved for hffs

							def __init__(	self       ,  __a = None       ,  __a = None       ,  **__a       ,  ):
										super().__init__(self       ,  **__a      )
										__lowerCAmelCase							       =     repo_info
										__lowerCAmelCase							       =     token
										__lowerCAmelCase							       =     None

							def      snake_case							(	self      ):
										if self.dir_cache is None:
													__lowerCAmelCase							       =     {}
													for hf_file in self.repo_info.siblings:
																# TODO(QL): add sizes
																__lowerCAmelCase							       =     {
																    "name": hf_file.rfilename,
																    "size": None,
																    "type": "file",
																}
																self.dir_cache.update(
																    {
																        str(__a      ): {"name": str(__a      ), "size": None, "type": "directory"}
																        for d in list(PurePosixPath(hf_file.rfilename      ).parents      )[:-1]
																    }      )

							def      snake_case							(	self       ,  __a       ,  __a = "rb"       ,  **__a       ,  ):
										if not isinstance(self.repo_info       ,  __a      ):
													raise NotImplementedError(f"Open is only implemented for dataset repositories, but got {self.repo_info}"      )
										__lowerCAmelCase							       =     hf_hub_url(self.repo_info.id       ,  __a       ,  revision=self.repo_info.sha      )
										return fsspec.open(
										    __a       ,  mode=__a       ,  headers=get_authentication_headers_for_url(__a       ,  use_auth_token=self.token      )       ,  client_kwargs={"trust_env": True}       ,  ).open()

							def      snake_case							(	self       ,  __a       ,  **__a      ):
										self._get_dirs()
										__lowerCAmelCase							       =     self._strip_protocol(__a      )
										if path in self.dir_cache:
													return self.dir_cache[path]
										else:
													raise FileNotFoundError(__a      )



							def      snake_case							(	self       ,  __a       ,  __a=False       ,  **__a      ):
										self._get_dirs()
										__lowerCAmelCase							       =     PurePosixPath(path.strip("/"      )      )
										__lowerCAmelCase							       =     {}
										for p, f in self.dir_cache.items():
													__lowerCAmelCase							       =     PurePosixPath(p.strip("/"      )      )
													__lowerCAmelCase							       =     p.parent
													if root == path:
																__lowerCAmelCase							       =     f
										__lowerCAmelCase							       =     list(paths.values()      )
										if detail:
													return out
										else:
													return sorted(f["name"] for f in out      )




