


"""simple docstring"""





import warnings

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


snake_case__						:   int			 = logging.get_logger(__name__)

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



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''mvp'''
     __UpperCamelCase     =    ['''past_key_values''']
     __UpperCamelCase     =    {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}






     def __init__(		self     :    Dict    , UpperCamelCase_     :    Union[str, Any]=5_0_2_6_7    , UpperCamelCase_     :    Tuple=1_0_2_4    , UpperCamelCase_     :    int=1_2    , UpperCamelCase_     :    Optional[int]=4_0_9_6    , UpperCamelCase_     :    Union[str, Any]=1_6    , UpperCamelCase_     :    List[Any]=1_2    , UpperCamelCase_     :    Dict=4_0_9_6    , UpperCamelCase_     :    Union[str, Any]=1_6    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    Optional[int]=0.0    , UpperCamelCase_     :    List[str]="gelu"    , UpperCamelCase_     :    List[Any]=1_0_2_4    , UpperCamelCase_     :    List[Any]=0.1    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[Any]=0.02    , UpperCamelCase_     :    List[str]=0.0    , UpperCamelCase_     :    List[str]=False    , UpperCamelCase_     :    Union[str, Any]=True    , UpperCamelCase_     :    str=1    , UpperCamelCase_     :    Tuple=0    , UpperCamelCase_     :    List[Any]=2    , UpperCamelCase_     :    Dict=True    , UpperCamelCase_     :    Union[str, Any]=2    , UpperCamelCase_     :    Tuple=2    , UpperCamelCase_     :    List[Any]=False    , UpperCamelCase_     :    Optional[int]=1_0_0    , UpperCamelCase_     :    Dict=8_0_0    , **UpperCamelCase_     :    Any    , ):
           lowerCAmelCase    :		str				=      vocab_size
           lowerCAmelCase    :		str				=      max_position_embeddings
           lowerCAmelCase    :		Union[str, Any]				=      d_model
           lowerCAmelCase    :		List[Any]				=      encoder_ffn_dim
           lowerCAmelCase    :		Tuple				=      encoder_layers
           lowerCAmelCase    :		Tuple				=      encoder_attention_heads
           lowerCAmelCase    :		Any				=      decoder_ffn_dim
           lowerCAmelCase    :		Optional[int]				=      decoder_layers
           lowerCAmelCase    :		Any				=      decoder_attention_heads
           lowerCAmelCase    :		Optional[Any]				=      dropout
           lowerCAmelCase    :		Tuple				=      attention_dropout
           lowerCAmelCase    :		Union[str, Any]				=      activation_dropout
           lowerCAmelCase    :		Union[str, Any]				=      activation_function
           lowerCAmelCase    :		int				=      init_std
           lowerCAmelCase    :		str				=      encoder_layerdrop
           lowerCAmelCase    :		str				=      decoder_layerdrop
           lowerCAmelCase    :		Dict				=      classifier_dropout
           lowerCAmelCase    :		List[str]				=      use_cache
           lowerCAmelCase    :		Optional[Any]				=      encoder_layers
           lowerCAmelCase    :		Union[str, Any]				=      scale_embedding  # scale factor will be sqrt(d_model) if True
           lowerCAmelCase    :		Optional[Any]				=      use_prompt
           lowerCAmelCase    :		Tuple				=      prompt_length
           lowerCAmelCase    :		int				=      prompt_mid_dim

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

           if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''    , UpperCamelCase_ ):
                 lowerCAmelCase    :		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 typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class    lowercase	(							A__					):

		"""simple docstring"""

		def __init__(		self    ,   UpperCamelCase_    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = False    ,   UpperCamelCase_ = False    ,   UpperCamelCase_ = None    ,   UpperCamelCase_ = None    ,   **UpperCamelCase_    ,   ):

							'''simple docstring'''


							super().__init__(
							    features=UpperCamelCase_    ,   cache_dir=UpperCamelCase_    ,   keep_in_memory=UpperCamelCase_    ,   streaming=UpperCamelCase_    ,   num_proc=UpperCamelCase_    ,   **UpperCamelCase_    ,   )
							UpperCamelCase__   :Any												= Generator(
							    cache_dir=UpperCamelCase_    ,   features=UpperCamelCase_    ,   generator=UpperCamelCase_    ,   gen_kwargs=UpperCamelCase_    ,   **UpperCamelCase_    ,   )




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							if self.streaming:
												UpperCamelCase__   :Optional[Any]												= self.builder.as_streaming_dataset(split='''train'''							)
							# Build regular (map-style) dataset
							else:
												UpperCamelCase__   :Optional[int]												= None
												UpperCamelCase__   :int												= None
												UpperCamelCase__   :Any												= None
												UpperCamelCase__   :Any												= None

												self.builder.download_and_prepare(
												    download_config=UpperCamelCase_    ,   download_mode=UpperCamelCase_    ,   verification_mode=UpperCamelCase_    ,   base_path=UpperCamelCase_    ,   num_proc=self.num_proc    ,   )
												UpperCamelCase__   :List[Any]												= self.builder.as_dataset(
												    split='''train'''    ,   verification_mode=UpperCamelCase_    ,   in_memory=self.keep_in_memory							)
							return dataset