


from __future__ import annotations

__UpperCamelCase      						=    'Alexander Joslin'
def     UpperCamelCase_(			_A				:int					)->						int:

			if number <= 0:
						UpperCamelCase__   =    F'''n must be greater than 0. Got n = {number}'''
						raise ValueError(_A					)

			UpperCamelCase__   =    [number + 1] * (number + 1)

			# starting position
			UpperCamelCase__   =    0
			for i in range(1			,       _A					):
						UpperCamelCase__   =    min(table[i + 1]			,       table[i] + 1					)
						# check if out of bounds
						if i * 2 <= number:
									UpperCamelCase__   =    min(table[i * 2]			,       table[i] + 1					)
						# check if out of bounds
						if i * 3 <= number:
									UpperCamelCase__   =    min(table[i * 3]			,       table[i] + 1					)
			return table[number]


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


__UpperCamelCase      						=    [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

__UpperCamelCase      						=    get_logger(__name__)


__UpperCamelCase      						=    {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}
def     UpperCamelCase_(			_A				:dict					)->						Optional[TaskTemplate]:
			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(_A					)}'''					)
						return None
			UpperCamelCase__   =    NAMEaTEMPLATE.get(_A					)
			return template.from_dict(_A					)


