
"""simple docstring"""






from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

lowerCamelCase__ :       str						     =			(
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
lowerCamelCase__ :       list[int]						     =			[ord(letter) for letter in string.ascii_lowercase]
lowerCamelCase__ :       set[int]						     =			{ord(char) for char in VALID_CHARS}

lowerCamelCase__ :       list[str]						     =			["the", "be", "to", "of", "and", "in", "that", "have"]





def __A						(   a_ :							list[int]		,		a_ :							tuple[int, ...]     )->							str | None:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     str				= ""
		SCREAMING_SNAKE_CASE       :     int
		SCREAMING_SNAKE_CASE       :     int
		SCREAMING_SNAKE_CASE       :     int

		for keychar, cipherchar in zip(cycle(a_     )		,		a_     ):
				SCREAMING_SNAKE_CASE       :     List[Any]				= cipherchar ^ keychar
				if decodedchar not in VALID_INTS:
						return None
				decoded += chr(a_     )

		return decoded





def __A						(   a_ :							list[int]     )->							list[str]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     list[str]				= []
		for key in product(a_		,		repeat=3     ):
				SCREAMING_SNAKE_CASE       :     Optional[Any]				= try_key(a_		,		a_     )
				if encoded is not None:
						possibles.append(a_     )
		return possibles





def __A						(   a_ :							list[str]		,		a_ :							str     )->							list[str]:




		'''simple docstring'''






		return [possible for possible in possibles if common_word in possible.lower()]





def __A						(   a_ :							str = "p059_cipher.txt"     )->							int:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     list[int]
		SCREAMING_SNAKE_CASE       :     list[str]
		SCREAMING_SNAKE_CASE       :     str
		SCREAMING_SNAKE_CASE       :     str
		SCREAMING_SNAKE_CASE       :     str				= Path(a_     ).parent.joinpath(a_     ).read_text(encoding='''utf-8'''     )

		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= [int(a_     ) for number in data.strip().split(''','''     )]

		SCREAMING_SNAKE_CASE       :     List[Any]				= filter_valid_chars(a_     )
		for common_word in COMMON_WORDS:
				SCREAMING_SNAKE_CASE       :     Any				= filter_common_word(a_		,		a_     )
				if len(a_     ) == 1:
						break

		SCREAMING_SNAKE_CASE       :     Tuple				= possibles[0]
		return sum(ord(a_     ) for char in decoded_text     )


if __name__ == "__main__":
					print(f'''{solution() = }''')







"""simple docstring"""






import math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__ :       Tuple						     =			logging.get_logger(__name__)

lowerCamelCase__ :       Any						     =			{
    "facebook/encodec_24khz": "https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json",
    "facebook/encodec_48khz": "https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json",
}




class 				lowercase__(				_UpperCAmelCase   ):
	'''simple docstring'''

	UpperCamelCase				=  """encodec"""





	def __init__(						self    :List[str]		, lowerCamelCase_    :Tuple=[1.5, 3.0, 6.0, 1_2.0, 2_4.0]		, lowerCamelCase_    :str=2_40_00		, lowerCamelCase_    :Any=1		, lowerCamelCase_    :List[Any]=False		, lowerCamelCase_    :Optional[int]=None		, lowerCamelCase_    :Optional[Any]=None		, lowerCamelCase_    :str=1_28		, lowerCamelCase_    :Any=32		, lowerCamelCase_    :int=1		, lowerCamelCase_    :Dict=[8, 5, 4, 2]		, lowerCamelCase_    :List[Any]="weight_norm"		, lowerCamelCase_    :Optional[int]=7		, lowerCamelCase_    :Tuple=7		, lowerCamelCase_    :Optional[Any]=3		, lowerCamelCase_    :int=2		, lowerCamelCase_    :Dict=True		, lowerCamelCase_    :Optional[int]="reflect"		, lowerCamelCase_    :Optional[int]=2		, lowerCamelCase_    :Union[str, Any]=2		, lowerCamelCase_    :Dict=1.0		, lowerCamelCase_    :Any=10_24		, lowerCamelCase_    :str=None		, lowerCamelCase_    :Union[str, Any]=True		, **lowerCamelCase_    :Optional[int]		, )							->			Dict:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Optional[Any]				= target_bandwidths
			SCREAMING_SNAKE_CASE       :     List[str]				= sampling_rate
			SCREAMING_SNAKE_CASE       :     Tuple				= audio_channels
			SCREAMING_SNAKE_CASE       :     Tuple				= normalize
			SCREAMING_SNAKE_CASE       :     str				= chunk_length_s
			SCREAMING_SNAKE_CASE       :     List[str]				= overlap
			SCREAMING_SNAKE_CASE       :     int				= hidden_size
			SCREAMING_SNAKE_CASE       :     Optional[int]				= num_filters
			SCREAMING_SNAKE_CASE       :     Tuple				= num_residual_layers
			SCREAMING_SNAKE_CASE       :     List[Any]				= upsampling_ratios
			SCREAMING_SNAKE_CASE       :     Optional[int]				= norm_type
			SCREAMING_SNAKE_CASE       :     Any				= kernel_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= last_kernel_size
			SCREAMING_SNAKE_CASE       :     Tuple				= residual_kernel_size
			SCREAMING_SNAKE_CASE       :     Any				= dilation_growth_rate
			SCREAMING_SNAKE_CASE       :     Optional[int]				= use_causal_conv
			SCREAMING_SNAKE_CASE       :     str				= pad_mode
			SCREAMING_SNAKE_CASE       :     List[Any]				= compress
			SCREAMING_SNAKE_CASE       :     Optional[Any]				= num_lstm_layers
			SCREAMING_SNAKE_CASE       :     Dict				= trim_right_ratio
			SCREAMING_SNAKE_CASE       :     List[Any]				= codebook_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= codebook_dim if codebook_dim is not None else hidden_size
			SCREAMING_SNAKE_CASE       :     Union[str, Any]				= use_conv_shortcut

			if self.norm_type not in ["weight_norm", "time_group_norm"]:
					raise ValueError(
					    f"self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}"					)

			super().__init__(**lowerCamelCase_					)





	@property
	def   __lowerCAmelCase (						self    :Optional[Any]					)							->			Optional[int]:







			'''simple docstring'''




			if self.chunk_length_s is None:
					return None
			else:
					return int(self.chunk_length_s * self.sampling_rate					)





	@property
	def   __lowerCAmelCase (						self    :List[str]					)							->			Optional[int]:







			'''simple docstring'''




			if self.chunk_length_s is None or self.overlap is None:
					return None
			else:
					return max(1		, int((1.0 - self.overlap) * self.chunk_length					)					)





	@property
	def   __lowerCAmelCase (						self    :Dict					)							->			int:







			'''simple docstring'''




			SCREAMING_SNAKE_CASE       :     Tuple				= np.prod(self.upsampling_ratios					)
			return math.ceil(self.sampling_rate / hop_length					)







	@property
	def   __lowerCAmelCase (						self    :Dict					)							->			int:







			'''simple docstring'''




			return int(10_00 * self.target_bandwidths[-1] // (self.frame_rate * 10)					)





