


from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader


class 			_a				(     UpperCamelCase__     ):

							def __init__(				self:      int       ,		UpperCamelCase_:      pyspark.sql.DataFrame       ,		UpperCamelCase_:      Optional[NamedSplit] = None       ,		UpperCamelCase_:      Optional[Features] = None       ,		UpperCamelCase_:      bool = True       ,		UpperCamelCase_:      str = None       ,		UpperCamelCase_:      bool = False       ,		UpperCamelCase_:      str = None       ,		UpperCamelCase_:      bool = True       ,		UpperCamelCase_:      str = "arrow"       ,		**UpperCamelCase_:      List[Any]       ,		)     ->  Any:





									"""simple docstring"""







									super().__init__(
									    split=UpperCamelCase_       ,		features=UpperCamelCase_       ,		cache_dir=UpperCamelCase_       ,		keep_in_memory=UpperCamelCase_       ,		streaming=UpperCamelCase_       ,		**UpperCamelCase_       ,		)
									lowercase__				= load_from_cache_file
									lowercase__				= file_format
									lowercase__				= Spark(
									    df=UpperCamelCase_       ,		features=UpperCamelCase_       ,		cache_dir=UpperCamelCase_       ,		working_dir=UpperCamelCase_       ,		**UpperCamelCase_       ,		)


							def  lowerCamelCase_					(				self:      Tuple				)     ->  Dict:





									"""simple docstring"""







									if self.streaming:
											return self.builder.as_streaming_dataset(split=self.split				)
									lowercase__				= None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
									self.builder.download_and_prepare(
									    download_mode=UpperCamelCase_       ,		file_format=self._file_format       ,		)
									return self.builder.as_dataset(split=self.split				)









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


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class 			__UpperCamelCase    (							A__    ):
     __A	:  Any							  =   """biogpt"""





     def __init__(     self				,							_UpperCamelCase=42384				,							_UpperCamelCase=1024				,							_UpperCamelCase=24				,							_UpperCamelCase=16				,							_UpperCamelCase=4096				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=1024				,							_UpperCamelCase=0.02				,							_UpperCamelCase=1e-12				,							_UpperCamelCase=True				,							_UpperCamelCase=True				,							_UpperCamelCase=0.0				,							_UpperCamelCase=0.0				,							_UpperCamelCase=1				,							_UpperCamelCase=0				,							_UpperCamelCase=2				,							**_UpperCamelCase				,							):
        _UpperCAmelCase           =   vocab_size
        _UpperCAmelCase           =   max_position_embeddings
        _UpperCAmelCase           =   hidden_size
        _UpperCAmelCase           =   num_hidden_layers
        _UpperCAmelCase           =   num_attention_heads
        _UpperCAmelCase           =   intermediate_size
        _UpperCAmelCase           =   hidden_act
        _UpperCAmelCase           =   hidden_dropout_prob
        _UpperCAmelCase           =   attention_probs_dropout_prob
        _UpperCAmelCase           =   initializer_range
        _UpperCAmelCase           =   layer_norm_eps
        _UpperCAmelCase           =   scale_embedding
        _UpperCAmelCase           =   use_cache
        _UpperCAmelCase           =   layerdrop
        _UpperCAmelCase           =   activation_dropout
        super().__init__(pad_token_id=_UpperCamelCase				,							bos_token_id=_UpperCamelCase				,							eos_token_id=_UpperCamelCase				,							**_UpperCamelCase					)