






"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


A__       :			List[str]=						logging.get_logger(__name__)
class  __lowerCamelCase     (	_a	):
   a   :					List[str]			    ="""speech-encoder-decoder"""
   a   :					Dict			    =True

   def __init__(       self			,					**snake_case_   )		->							List[str]:
       super().__init__(**_UpperCAmelCase   )
       if "encoder" not in kwargs or "decoder" not in kwargs:
           raise ValueError(
               F'A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'
               F' `decoder` sub-configurations are passed, but only {kwargs}'   )

       UpperCamelCase__								=     kwargs.pop('encoder'   )
       UpperCamelCase__								=     encoder_config.pop('model_type'   )
       UpperCamelCase__								=     kwargs.pop('decoder'   )
       UpperCamelCase__								=     decoder_config.pop('model_type'   )

       UpperCamelCase__								=     AutoConfig.for_model(_UpperCAmelCase			,					**_UpperCAmelCase   )
       UpperCamelCase__								=     AutoConfig.for_model(_UpperCAmelCase			,					**_UpperCAmelCase   )
       UpperCamelCase__								=     True

   @classmethod
   def     SCREAMING_SNAKE_CASE__			(       cls			,					snake_case_			,					snake_case_			,					**snake_case_   )		->							Optional[int]:
       logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'   )
       UpperCamelCase__								=     True
       UpperCamelCase__								=     True

       return cls(encoder=encoder_config.to_dict()			,					decoder=decoder_config.to_dict()			,					**_UpperCAmelCase   )







   def     SCREAMING_SNAKE_CASE__			(       self   )		->							Tuple:
       UpperCamelCase__								=     copy.deepcopy(self.__dict__   )
       UpperCamelCase__								=     self.encoder.to_dict()
       UpperCamelCase__								=     self.decoder.to_dict()
       UpperCamelCase__								=     self.__class__.model_type
       return output





"""simple docstring"""


import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand







def        __a (		A   ):






     '''simple docstring'''



     return EnvironmentCommand()






class  a__     ( _a						):


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				parser.add_parser("env",					help="Print relevant system environment info."	)
        download_parser.set_defaults(func=_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        lowercase__								=				{
            "`datasets` version": version,
            "Platform": platform.platform(),
            "Python version": platform.python_version(),
            "Huggingface_hub version": huggingface_hub.__version__,
            "PyArrow version": pyarrow.__version__,
            "Pandas version": pandas.__version__,
        }

        print("\nCopy-and-paste the text below in your GitHub issue.\n"	)
        print(self.format_dict(_UpperCAmelCase	)	)

        return info


   @staticmethod
   def 						snake_case__						(  _UpperCAmelCase	):
        '''simple docstring'''



        return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]	) + "\n"




