



from typing import TypeVar

from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset


__UpperCAmelCase      = TypeVar('''DatasetType''', Dataset, IterableDataset)
def 	UpperCamelCase			(     snake_case__ :					DatasetType ,  snake_case__ :					int ,  snake_case__ :					int			)			->  DatasetType:
   if isinstance(snake_case__ ,  snake_case__			):
      return _split_by_node_map_style_dataset(snake_case__ ,  rank=snake_case__ ,  world_size=snake_case__			)
   else:
      return _split_by_node_iterable_dataset(snake_case__ ,  rank=snake_case__ ,  world_size=snake_case__			)








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


__UpperCAmelCase      = logging.get_logger(__name__)

__UpperCAmelCase      = {
    '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json''',
}



class        lowerCAmelCase_	(						a__							):
       UpperCAmelCase__       :      Union[str, Any]       =						"mpnet"
       def __init__(    self,    SCREAMING_SNAKE_CASE_=3_0527,    SCREAMING_SNAKE_CASE_=768,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=12,    SCREAMING_SNAKE_CASE_=3072,    SCREAMING_SNAKE_CASE_="gelu",    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=0.1,    SCREAMING_SNAKE_CASE_=512,    SCREAMING_SNAKE_CASE_=0.02,    SCREAMING_SNAKE_CASE_=1e-12,    SCREAMING_SNAKE_CASE_=32,    SCREAMING_SNAKE_CASE_=1,    SCREAMING_SNAKE_CASE_=0,    SCREAMING_SNAKE_CASE_=2,    **SCREAMING_SNAKE_CASE_,    )  ->	Optional[int]:
          super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_,    bos_token_id=SCREAMING_SNAKE_CASE_,    eos_token_id=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_ )

          UpperCamelCase					:						Any					=			vocab_size
          UpperCamelCase					:						Optional[Any]					=			hidden_size
          UpperCamelCase					:						Union[str, Any]					=			num_hidden_layers
          UpperCamelCase					:						Optional[int]					=			num_attention_heads
          UpperCamelCase					:						Optional[Any]					=			hidden_act
          UpperCamelCase					:						str					=			intermediate_size
          UpperCamelCase					:						Optional[Any]					=			hidden_dropout_prob
          UpperCamelCase					:						Union[str, Any]					=			attention_probs_dropout_prob
          UpperCamelCase					:						List[Any]					=			max_position_embeddings
          UpperCamelCase					:						Union[str, Any]					=			initializer_range
          UpperCamelCase					:						List[str]					=			layer_norm_eps
          UpperCamelCase					:						str					=			relative_attention_num_buckets



