

'''simple docstring'''

def      __magic_name__							(			A				)      ->		bool:
	if not isinstance(A       , A				):
		raise ValueError('Input series is not valid, valid series - [1, 2/3, 2]'				)
	if len(A				) == 0:
		raise ValueError('Input list must be a non empty list'				)
	if len(A				) == 1 and series[0] != 0:
		return True
	snake_case							=					[]
	snake_case							=					len(A				)
	for i in range(0       , A				):
		if series[i] == 0:
			raise ValueError('Input series cannot have 0 as an element'				)
		rec_series.append(1 / series[i]				)
	snake_case							=					rec_series[1] - rec_series[0]
	for index in range(2       , A				):
		if rec_series[index] - rec_series[index - 1] != common_diff:
			return False
	return True

def      __magic_name__							(			A				)      ->		float:
	if not isinstance(A       , A				):
		raise ValueError('Input series is not valid, valid series - [2, 4, 6]'				)
	if len(A				) == 0:
		raise ValueError('Input list must be a non empty list'				)
	snake_case							=					0
	for val in series:
		answer += 1 / val
	return len(A				) / answer


if __name__ == "__main__":
						import doctest

						doctest.testmod()











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

_lowerCAmelCase    : Dict		= get_logger(__name__)


_lowerCAmelCase    : Optional[Any]		= {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def     lowerCAmelCase		(		_lowerCAmelCase				: dict						):




 """simple docstring"""







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





