
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		str:
			lowerCAmelCase__      :      Union[str, Any]         =		''
			for ch in key:
						if ch == " " or ch not in key_no_dups and ch.isalpha():
									key_no_dups += ch
			return key_no_dups
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		dict[str, str]:
			lowerCAmelCase__      :      Any         =		[chr(i + 65     ) for i in range(26     )]
			# Remove duplicate characters from key
			lowerCAmelCase__      :      Any         =		remove_duplicates(key.upper()     )
			lowerCAmelCase__      :      int         =		len(SCREAMING_SNAKE_CASE_     )
			# First fill cipher with key characters
			lowerCAmelCase__      :      Union[str, Any]         =		{alphabet[i]: char for i, char in enumerate(SCREAMING_SNAKE_CASE_     )}
			# Then map remaining characters in alphabet to
			# the alphabet from the beginning
			for i in range(len(SCREAMING_SNAKE_CASE_     )       ,							26     ):
						lowerCAmelCase__      :      List[str]         =		alphabet[i - offset]
						# Ensure we are not mapping letters to letters previously mapped
						while char in key:
									offset -= 1
									lowerCAmelCase__      :      int         =		alphabet[i - offset]
						lowerCAmelCase__      :      str         =		char
			return cipher_alphabet
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )				->		str:
			return "".join(cipher_map.get(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     ) for ch in message.upper()     )
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )				->		str:
			lowerCAmelCase__      :      Optional[Any]         =		{v: k for k, v in cipher_map.items()}
			return "".join(rev_cipher_map.get(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     ) for ch in message.upper()     )
def  lowerCAmelCase__			(  )				->		None:
			lowerCAmelCase__      :      Optional[int]         =		input('Enter message to encode or decode: '     ).strip()
			lowerCAmelCase__      :      List[str]         =		input('Enter keyword: '     ).strip()
			lowerCAmelCase__      :      Optional[Any]         =		input('Encipher or decipher? E/D:'     ).strip()[0].lower()
			try:
						lowerCAmelCase__      :      int         =		{'e': encipher, 'd': decipher}[option]
			except KeyError:
						raise KeyError('invalid input option'     )
			lowerCAmelCase__      :      Dict         =		create_cipher_map(SCREAMING_SNAKE_CASE_     )
			print(func(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )     )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()

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

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







@dataclass(frozen=__magic_name__	)
class      A__							(     __magic_name__	):
				lowercase			    =  field(default='audio-classification'						,   metadata={'include_in_asdict_even_if_is_default': True}	)
				lowercase			    =  Features({'audio': Audio()}	)
				lowercase			    =  Features({'labels': ClassLabel}	)
				lowercase			    =  "audio"
				lowercase			    =  "labels"






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Tuple   ):






							'''simple docstring'''







							if self.label_column not in features:
										raise ValueError(f'''Column {self.label_column} is not present in features.'''   )
							if not isinstance(features[self.label_column]    ,     a   ):
										raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''   )
							lowerCAmelCase__      :      Tuple         =		copy.deepcopy(self   )
							lowerCAmelCase__      :      List[Any]         =		self.label_schema.copy()
							lowerCAmelCase__      :      List[Any]         =		features[self.label_column]
							lowerCAmelCase__      :      Optional[int]         =		label_schema
							return task_template






				@property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							return {
							    self.audio_column: "audio",
							    self.label_column: "labels",
							}