




import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
   from PIL import Image

class   UpperCAmelCase    (      unittest.TestCase ,       A ):






   def 			_a    (						self :							Dict  )->      List[str]:
     _lowercase:			Dict      =     load_tool('image-question-answering'  )
     self.tool.setup()
     _lowercase:			str      =     load_tool('image-question-answering'    ,       remote=UpperCamelCase_  )






   def 			_a    (						self :							Optional[int]  )->      Tuple:
     _lowercase:			Optional[int]      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			Dict      =     self.tool(UpperCamelCase_    ,       'How many cats are sleeping on the couch?'  )
     self.assertEqual(UpperCamelCase_    ,       '2'  )






   def 			_a    (						self :							Any  )->      Union[str, Any]:
     _lowercase:			List[str]      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			List[str]      =     self.remote_tool(UpperCamelCase_    ,       'How many cats are sleeping on the couch?'  )
     self.assertEqual(UpperCamelCase_    ,       '2'  )






   def 			_a    (						self :							int  )->      Any:
     _lowercase:			List[str]      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			Any      =     self.tool(image=UpperCamelCase_    ,       question='How many cats are sleeping on the couch?'  )
     self.assertEqual(UpperCamelCase_    ,       '2'  )






   def 			_a    (						self :							Dict  )->      Tuple:
     _lowercase:			Optional[Any]      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			List[Any]      =     self.remote_tool(image=UpperCamelCase_    ,       question='How many cats are sleeping on the couch?'  )
     self.assertEqual(UpperCamelCase_    ,       '2'  )






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				)
