






'''simple docstring'''

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


UpperCAmelCase__						:Optional[Any]          =			logging.get_logger(__name__)

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







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
							snake_case__    :     List[Any]   		=			'biogpt'




							def __init__(					self      : Optional[Any]	,    A__      : str=42384	,    A__      : Optional[Any]=1024	,    A__      : Dict=24	,    A__      : Any=16	,    A__      : Union[str, Any]=4096	,    A__      : Dict="gelu"	,    A__      : Optional[int]=0.1	,    A__      : Optional[Any]=0.1	,    A__      : int=1024	,    A__      : Any=0.02	,    A__      : Optional[Any]=1e-1_2	,    A__      : int=True	,    A__      : Union[str, Any]=True	,    A__      : str=0.0	,    A__      : int=0.0	,    A__      : Optional[Any]=1	,    A__      : str=0	,    A__      : Dict=2	,    **A__      : List[str]	,    ):


												"""simple docstring"""







												__lowerCamelCase						:       Any				   =				vocab_size
												__lowerCamelCase						:       List[str]				   =				max_position_embeddings
												__lowerCamelCase						:       str				   =				hidden_size
												__lowerCamelCase						:       List[Any]				   =				num_hidden_layers
												__lowerCamelCase						:       Any				   =				num_attention_heads
												__lowerCamelCase						:       Any				   =				intermediate_size
												__lowerCamelCase						:       Optional[int]				   =				hidden_act
												__lowerCamelCase						:       Optional[int]				   =				hidden_dropout_prob
												__lowerCamelCase						:       Any				   =				attention_probs_dropout_prob
												__lowerCamelCase						:       Optional[Any]				   =				initializer_range
												__lowerCamelCase						:       str				   =				layer_norm_eps
												__lowerCamelCase						:       Dict				   =				scale_embedding
												__lowerCamelCase						:       Union[str, Any]				   =				use_cache
												__lowerCamelCase						:       Any				   =				layerdrop
												__lowerCamelCase						:       str				   =				activation_dropout
												super().__init__(pad_token_id=A__	,    bos_token_id=A__	,    eos_token_id=A__	,    **A__					)











'''simple docstring'''

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowerCAmelCase_  )
class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
       snake_case__    :     str   		=			field(default='automatic-speech-recognition'    ,   metadata={'include_in_asdict_even_if_is_default': True}  )
       snake_case__    :     ClassVar[Features]   		=			Features({'audio': Audio()}  )
       snake_case__    :     ClassVar[Features]   		=			Features({'transcription': Value('string'  )}  )
       snake_case__    :     str   		=			"audio"
       snake_case__    :     str   		=			"transcription"




       def 					a_					(					self      : Any	,    A__      : Any					):


            """simple docstring"""







            if self.audio_column not in features:
                 raise ValueError(f"Column {self.audio_column} is not present in features."					)
            if not isinstance(features[self.audio_column]	,    A__					):
                 raise ValueError(f"Column {self.audio_column} is not an Audio type."					)
            __lowerCamelCase						:       Dict				   =				copy.deepcopy(self					)
            __lowerCamelCase						:       List[Any]				   =				self.input_schema.copy()
            __lowerCamelCase						:       Optional[int]				   =				features[self.audio_column]
            __lowerCamelCase						:       Any				   =				input_schema
            return task_template




       @property
       def 					a_					(					self      : Any					):


            """simple docstring"""







            return {self.audio_column: "audio", self.transcription_column: "transcription"}



