
import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils



class 			UpperCamelCase_			(						unittest.TestCase   ):




							'''simple docstring'''

							@patch('diffusers.utils.hub_utils.get_full_repo_name')
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	Union[str, Any]:
										UpperCamelCase__    :		List[str]     =				'full_repo_name'
										with TemporaryDirectory() as tmpdir:
													# Dummy args values
													UpperCamelCase__    :		Optional[Any]     =				Mock()
													UpperCamelCase__    :		List[Any]     =				tmpdir
													UpperCamelCase__    :		Any     =				0
													UpperCamelCase__    :		Tuple     =				'hub_token'
													UpperCamelCase__    :		List[Any]     =				'dataset_name'
													UpperCamelCase__    :		List[Any]     =				0.01
													UpperCamelCase__    :		int     =				10_00_00
													UpperCamelCase__    :		Union[str, Any]     =				1_00_00
													UpperCamelCase__    :		Optional[int]     =				0.01
													UpperCamelCase__    :		Dict     =				0.02
													UpperCamelCase__    :		Optional[int]     =				0.03
													UpperCamelCase__    :		List[str]     =				0.0005
													UpperCamelCase__    :		int     =				0.00_0001
													UpperCamelCase__    :		Union[str, Any]     =				1
													UpperCamelCase__    :		Optional[int]     =				10
													UpperCamelCase__    :		List[Any]     =				0.001
													UpperCamelCase__    :		Tuple     =				0.1
													UpperCamelCase__    :		int     =				0.2
													UpperCamelCase__    :		int     =				True

													# Model card mush be rendered and saved
													diffusers.utils.hub_utils.create_model_card(_lowerCAmelCase     ,						model_name='model_name')
													self.assertTrue((Path(_lowerCAmelCase) / 'README.md').is_file())





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__				:  Dict       					=				get_logger(__name__)


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



def       _lowercase					(      __SCREAMING_SNAKE_CASE )	->     Optional[TaskTemplate]:
			UpperCamelCase__    :		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(__SCREAMING_SNAKE_CASE )}""" )
						return None
			UpperCamelCase__    :		Any     =				NAMEaTEMPLATE.get(__SCREAMING_SNAKE_CASE )
			return template.from_dict(__SCREAMING_SNAKE_CASE )



