

import unittest
from dataclasses import dataclass
from typing import List, Union

import numpy as np
import PIL.Image

from diffusers.utils.outputs import BaseOutput

@dataclass
class    a__  (   snake_case     ):
			"""simple docstring"""







			__lowerCamelCase	    =    42

class    a__  (   unittest.TestCase     ):
			"""simple docstring"""







			def        UpperCamelCase						(      self    )					->  Tuple:
							'''simple docstring'''






							A__            =     CustomOutput(images=np.random.rand(1 , 3 , 4 , 4    )    )

							# check every way of getting the attribute
							assert isinstance(outputs.images , np.ndarray    )
							assert outputs.images.shape == (1, 3, 4, 4)
							assert isinstance(outputs["images"] , np.ndarray    )
							assert outputs["images"].shape == (1, 3, 4, 4)
							assert isinstance(outputs[0] , np.ndarray    )
							assert outputs[0].shape == (1, 3, 4, 4)

							# test with a non-tensor attribute
							A__            =     CustomOutput(images=[PIL.Image.new("RGB" , (4, 4)    )]    )

							# check every way of getting the attribute
							assert isinstance(outputs.images , lowercase    )
							assert isinstance(outputs.images[0] , PIL.Image.Image    )
							assert isinstance(outputs["images"] , lowercase    )
							assert isinstance(outputs["images"][0] , PIL.Image.Image    )
							assert isinstance(outputs[0] , lowercase    )
							assert isinstance(outputs[0][0] , PIL.Image.Image    )


			def        UpperCamelCase						(      self    )					->  Optional[int]:
							'''simple docstring'''






							A__            =     CustomOutput({"images": np.random.rand(1 , 3 , 4 , 4    )}    )

							# check every way of getting the attribute
							assert isinstance(outputs.images , np.ndarray    )
							assert outputs.images.shape == (1, 3, 4, 4)
							assert isinstance(outputs["images"] , np.ndarray    )
							assert outputs["images"].shape == (1, 3, 4, 4)
							assert isinstance(outputs[0] , np.ndarray    )
							assert outputs[0].shape == (1, 3, 4, 4)

							# test with a non-tensor attribute
							A__            =     CustomOutput({"images": [PIL.Image.new("RGB" , (4, 4)    )]}    )

							# check every way of getting the attribute
							assert isinstance(outputs.images , lowercase    )
							assert isinstance(outputs.images[0] , PIL.Image.Image    )
							assert isinstance(outputs["images"] , lowercase    )
							assert isinstance(outputs["images"][0] , PIL.Image.Image    )
							assert isinstance(outputs[0] , lowercase    )
							assert isinstance(outputs[0][0] , PIL.Image.Image    )




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__						=	[
    """AutomaticSpeechRecognition""",
    """AudioClassification""",
    """ImageClassification""",
    """LanguageModeling""",
    """QuestionAnsweringExtractive""",
    """Summarization""",
    """TaskTemplate""",
    """TextClassification""",
]

lowerCAmelCase__						=	get_logger(__name__)


lowerCAmelCase__						=	{
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							dict )     -> Optional[TaskTemplate]:




				'''simple docstring'''





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

