



import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate

@dataclass(frozen=_lowercase	)
class   _A   ( _lowercase	):


						'''simple docstring'''





						_snake_case			:     str      							=      field(default="""automatic-speech-recognition"""  ,						metadata={"""include_in_asdict_even_if_is_default""": True}	)
						_snake_case			:     ClassVar[Features]      							=      Features({"""audio""": Audio()}	)
						_snake_case			:     ClassVar[Features]      							=      Features({"""transcription""": Value("""string"""	)}	)
						_snake_case			:     str      							=      "audio"
						_snake_case			:     str      							=      "transcription"



						def     _snake_case	(	self	:							Tuple							,      lowerCamelCase	:							Optional[Any]	):






							'''simple docstring'''



							if self.audio_column not in features:
								raise ValueError(f"""Column {self.audio_column} is not present in features."""	)
							if not isinstance(features[self.audio_column]							,      lowerCamelCase	):
								raise ValueError(f"""Column {self.audio_column} is not an Audio type."""	)
							__lowercase		       =			copy.deepcopy(self	)
							__lowercase		       =			self.input_schema.copy()
							__lowercase		       =			features[self.audio_column]
							__lowercase		       =			input_schema
							return task_template



						@property
						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							return {self.audio_column: "audio", self.transcription_column: "transcription"}








import numpy as np

snake_case__					:     Tuple    		=   [
    ["""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   _A   :


						'''simple docstring'''





						def __init__(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			np.array(lowerCamelCase	)



						def     _snake_case	(	self	:							Union[str, Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase       ,    __lowercase		       =			np.where(letter == self.SQUARE	)
							__lowercase		       =			np.concatenate([indexa + 1, indexa + 1]	)
							return indexes



						def     _snake_case	(	self	:							List[Any]							,      lowerCamelCase	:							int							,      lowerCamelCase	:							int	):






							'''simple docstring'''



							__lowercase		       =			self.SQUARE[indexa - 1, indexa - 1]
							return letter



						def     _snake_case	(	self	:							int							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase		       =			message.lower()
							__lowercase		       =			message.replace(" "							,      ""	)
							__lowercase		       =			message.replace("j"							,      "i"	)

							__lowercase		       =			np.empty((2, len(lowerCamelCase	))	)
							for letter_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			self.letter_to_numbers(message[letter_index]	)

								__lowercase		       =			numbers[0]
								__lowercase		       =			numbers[1]

							__lowercase		       =			first_step.reshape(2 * len(lowerCamelCase	)	)
							__lowercase		       =			""
							for numbers_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			int(second_step[numbers_index * 2]	)
								__lowercase		       =			int(second_step[(numbers_index * 2) + 1]	)
								__lowercase		       =			self.numbers_to_letter(lowerCamelCase							,      lowerCamelCase	)
								__lowercase		       =			encoded_message + letter

							return encoded_message



						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							__lowercase		       =			message.lower()
							message.replace(" "							,      ""	)
							__lowercase		       =			np.empty(2 * len(lowerCamelCase	)	)
							for letter_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			self.letter_to_numbers(message[letter_index]	)
								__lowercase		       =			numbers[0]
								__lowercase		       =			numbers[1]

							__lowercase		       =			first_step.reshape((2, len(lowerCamelCase	))	)
							__lowercase		       =			""
							for numbers_index in range(len(lowerCamelCase	)	):
								__lowercase		       =			int(second_step[0, numbers_index]	)
								__lowercase		       =			int(second_step[1, numbers_index]	)
								__lowercase		       =			self.numbers_to_letter(lowerCamelCase							,      lowerCamelCase	)
								__lowercase		       =			decoded_message + letter

							return decoded_message



