

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_       :				Any		   =      [
    '''AutomaticSpeechRecognition''',
    '''AudioClassification''',
    '''ImageClassification''',
    '''LanguageModeling''',
    '''QuestionAnsweringExtractive''',
    '''Summarization''',
    '''TaskTemplate''',
    '''TextClassification''',
]

UpperCAmelCase_       :				str		   =      get_logger(__name__)


UpperCAmelCase_       :				Union[str, Any]		   =      {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}
def        __SCREAMING_SNAKE_CASE    (      a__						:      dict					)				->							Optional[TaskTemplate]:
	__A   : int								= task_template_dict.get("""task"""					)
	if task_name is None:
		logger.warning(f"""Couldn't find template for task '{task_name}'. Available templates: {list(a__					)}"""					)
		return None
	__A   : Optional[int]								= NAMEaTEMPLATE.get(a__					)
	return template.from_dict(a__					)








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     lowerCamelCase_			(  unittest.TestCase	,			_lowercase  ):




	def 					lowerCAmelCase_					(    self	:    Dict       ):
		__A   : str								= load_tool("""image-captioning"""       )
		self.tool.setup()
		__A   : Dict								= load_tool("""image-captioning"""				,			remote=__A       )




	def 					lowerCAmelCase_					(    self	:    Optional[int]       ):
		__A   : List[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
		__A   : Optional[Any]								= self.tool(__A       )
		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )




	def 					lowerCAmelCase_					(    self	:    Dict       ):
		__A   : Any								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
		__A   : List[str]								= self.remote_tool(__A       )
		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )




	def 					lowerCAmelCase_					(    self	:    Union[str, Any]       ):
		__A   : Optional[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
		__A   : str								= self.tool(image=__A       )
		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )




	def 					lowerCAmelCase_					(    self	:    str       ):
		__A   : Dict								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
		__A   : List[Any]								= self.remote_tool(image=__A       )
		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )





