
import numpy as np

UpperCAmelCase__				:  str       					=				[
    ['''a''', '''b''', '''c''', '''d''', '''e'''],
    ['''f''', '''g''', '''h''', '''i''', '''k'''],
    ['''l''', '''m''', '''n''', '''o''', '''p'''],
    ['''q''', '''r''', '''s''', '''t''', '''u'''],
    ['''v''', '''w''', '''x''', '''y''', '''z'''],
]



class 			UpperCamelCase_			:




							'''simple docstring'''

							def __init__(				self) ->	None:
										UpperCamelCase__    :		Any     =				np.array(UpperCamelCase)
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	np.ndarray:
										UpperCamelCase__   ,			UpperCamelCase__    :		Optional[int]     =				np.where(letter == self.SQUARE)
										UpperCamelCase__    :		int     =				np.concatenate([indexa + 1, indexa + 1])
										return indexes
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase     ,						UpperCamelCase) ->	str:
										return self.SQUARE[indexa - 1, indexa - 1]
							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		str     =				message.lower()
										UpperCamelCase__    :		int     =				message.replace('j'     ,						'i')

										UpperCamelCase__    :		List[Any]     =				''
										for letter_index in range(len(UpperCamelCase)):
													if message[letter_index] != " ":
																UpperCamelCase__    :		Union[str, Any]     =				self.letter_to_numbers(message[letter_index])
																UpperCamelCase__    :		int     =				encoded_message + str(numbers[0]) + str(numbers[1])
													elif message[letter_index] == " ":
																UpperCamelCase__    :		str     =				encoded_message + ' '

										return encoded_message






							def        lowerCAmelCase__ (				self     ,						UpperCamelCase) ->	str:
										UpperCamelCase__    :		Union[str, Any]     =				message.replace(' '     ,						'  ')
										UpperCamelCase__    :		int     =				''
										for numbers_index in range(int(len(UpperCamelCase) / 2)):
													if message[numbers_index * 2] != " ":
																UpperCamelCase__    :		List[str]     =				message[numbers_index * 2]
																UpperCamelCase__    :		Tuple     =				message[numbers_index * 2 + 1]

																UpperCamelCase__    :		Tuple     =				self.numbers_to_letter(int(UpperCamelCase)     ,						int(UpperCamelCase))
																UpperCamelCase__    :		List[str]     =				decoded_message + letter
													elif message[numbers_index * 2] == " ":
																UpperCamelCase__    :		str     =				decoded_message + ' '

										return decoded_message





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 )



