
from itertools import combinations, product



def       _lowercase					(      __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE				,    __SCREAMING_SNAKE_CASE )	->     bool:
			if xa == ya == 0 or xa == ya == 0:
						return False
			UpperCamelCase__    :		List[str]     =				xa * xa + ya * ya
			UpperCamelCase__    :		Dict     =				xa * xa + ya * ya
			UpperCamelCase__    :		int     =				(xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
			return (
			    a_square + b_square == c_square
			    or a_square + c_square == b_square
			    or b_square + c_square == a_square
			)



def       _lowercase					(      __SCREAMING_SNAKE_CASE = 50 )	->     int:
			return sum(
			    1
			    for pta, pta in combinations(product(range(limit + 1 )				,    repeat=2 )				,    2 )
			    if is_right(*__SCREAMING_SNAKE_CASE				,    *__SCREAMING_SNAKE_CASE ) )


if __name__ == "__main__":
							print(f'''{solution() = }''')





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 )



