


from .hash_table import HashTable
from .number_theory.prime_numbers import is_prime, next_prime







class     lowerCamelCase__		(							UpperCAmelCase ):






			"""simple docstring"""






			def __init__(							self ,  *snake_case ,  **snake_case       ):

						'''simple docstring'''


						super().__init__(*snake_case ,  **snake_case       )




			def 			snake_case__			(							self ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						UpperCamelCase__   =    (
						    next_prime(value % self.size_table       )
						    if not is_prime(value % self.size_table       )
						    else value % self.size_table
						)  # gt = bigger than
						return next_prime_gt - (data % next_prime_gt)




			def 			snake_case__			(							self ,  snake_case ,  snake_case ,  snake_case       ):

						'''simple docstring'''


						return (increment * self.__hash_function_a(snake_case ,  snake_case       )) % self.size_table







			def 			snake_case__			(							self ,  snake_case ,  snake_case=None       ):

						'''simple docstring'''


						UpperCamelCase__   =    1
						UpperCamelCase__   =    self.hash_function(snake_case       )

						while self.values[new_key] is not None and self.values[new_key] != key:
									UpperCamelCase__   =    (
									    self.__hash_double_function(snake_case ,  snake_case ,  snake_case       )
									    if self.balanced_factor() >= self.lim_charge
									    else None
									)
									if new_key is None:
												break
									else:
												i += 1

						return new_key






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					)


