




from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available



def     lowerCAmelCase		(		_lowerCAmelCase				: Optional[Any]						):




 """simple docstring"""







 if is_torch_available():
  import torch

  if isinstance(_lowerCAmelCase    ,				torch.Tensor						):
   return True

 return isinstance(_lowerCAmelCase    ,				np.ndarray						)


class       _UpperCamelCase   (					lowerCAmelCase		):
      def 						UpperCAmelCase_    (      self :str   )  ->      Union[str, Any]:
       UpperCAmelCase__							=    fields(self   )

       # Safety and consistency checks
       if not len(lowerCamelCase   ):
        raise ValueError(f'''{self.__class__.__name__} has no fields.'''   )

       UpperCAmelCase__							=    getattr(self			,   class_fields[0].name   )
       UpperCAmelCase__							=    all(getattr(self			,   field.name   ) is None for field in class_fields[1:]   )

       if other_fields_are_none and isinstance(lowerCamelCase			,   lowerCamelCase   ):
        for key, value in first_field.items():
         UpperCAmelCase__							=    value
       else:
        for field in class_fields:
         UpperCAmelCase__							=    getattr(self			,   field.name   )
         if v is not None:
          UpperCAmelCase__							=    v
      def __delitem__(      self :List[str]			,   *lowerCamelCase :str			,   **lowerCamelCase :Optional[Any]   )  ->      int:
       raise Exception(f'''You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'''   )
      def 						UpperCAmelCase_    (      self :str			,   *lowerCamelCase :str			,   **lowerCamelCase :Union[str, Any]   )  ->      int:
       raise Exception(f'''You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'''   )
      def 						UpperCAmelCase_    (      self :Any			,   *lowerCamelCase :Optional[Any]			,   **lowerCamelCase :Optional[Any]   )  ->      int:
       raise Exception(f'''You cannot use ``pop`` on a {self.__class__.__name__} instance.'''   )
      def 						UpperCAmelCase_    (      self :Optional[Any]			,   *lowerCamelCase :Optional[int]			,   **lowerCamelCase :Optional[int]   )  ->      str:
       raise Exception(f'''You cannot use ``update`` on a {self.__class__.__name__} instance.'''   )
      def __getitem__(      self :int			,   lowerCamelCase :Tuple   )  ->      Tuple:
       if isinstance(lowerCamelCase			,   lowerCamelCase   ):
        UpperCAmelCase__							=    dict(self.items()   )
        return inner_dict[k]
       else:
        return self.to_tuple()[k]
      def __setattr__(      self :Optional[Any]			,   lowerCamelCase :Optional[int]			,   lowerCamelCase :List[Any]   )  ->      Optional[Any]:
       if name in self.keys() and value is not None:
        # Don't call self.__setitem__ to avoid recursion errors
        super().__setitem__(lowerCamelCase			,   lowerCamelCase   )
       super().__setattr__(lowerCamelCase			,   lowerCamelCase   )
      def __setitem__(      self :int			,   lowerCamelCase :List[Any]			,   lowerCamelCase :Any   )  ->      List[str]:
       # Will raise a KeyException if needed
       super().__setitem__(lowerCamelCase			,   lowerCamelCase   )
       # Don't call self.__setattr__ to avoid recursion errors
       super().__setattr__(lowerCamelCase			,   lowerCamelCase   )







      def 						UpperCAmelCase_    (      self :Union[str, Any]   )  ->      Tuple[Any]:
       return tuple(self[k] for k in self.keys()   )











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


_lowerCAmelCase    : Any		= [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase    : Dict		= get_logger(__name__)


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



def     lowerCAmelCase		(		_lowerCAmelCase				: dict						):




 """simple docstring"""







 UpperCAmelCase__							=    task_template_dict.get("task"						)
 if task_name is None:
  logger.warning(F'''Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_lowerCAmelCase						)}'''						)
  return None
 UpperCAmelCase__							=    NAMEaTEMPLATE.get(_lowerCAmelCase						)
 return template.from_dict(_lowerCAmelCase						)





