




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 		_lowerCamelCase					(       UpperCamelCase				)      ->		int:





  """simple docstring"""





  return EnvironmentCommand()





class   UpperCAmelCase    (      A ):






   @staticmethod
   def 			_a    (						UpperCamelCase_ :							ArgumentParser  )->      Any:
     _lowercase:			Optional[Any]      =     parser.add_parser('env'    ,       help='Print relevant system environment info.'  )
     download_parser.set_defaults(func=UpperCamelCase_  )






   def 			_a    (						self :							Tuple  )->      Any:
     _lowercase:			Any      =     {
         '`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 			_a    (						UpperCamelCase_ :							List[str]  )->      Union[str, Any]:
     return "\n".join([f'- {prop}: {val}' for prop, val in d.items()]  ) + "\n"






from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__    :							Tuple       		=     [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

UpperCAmelCase__    :							Tuple       		=     get_logger(__name__)


UpperCAmelCase__    :							List[Any]       		=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Optional[TaskTemplate]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     task_template_dict.get('task'				)
  if task_name is None:
    logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(UpperCamelCase				)}'				)
    return None
  _lowercase:			int      =     NAMEaTEMPLATE.get(UpperCamelCase				)
  return template.from_dict(UpperCamelCase				)
