






import os
from typing import Dict, List, Union

import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs

from .tokenization_gpta import GPTaTokenizer




class 		UpperCamelCase__    (tf.keras.layers.Layer			):




		'''simple docstring'''





		def __init__(      self   ,_lowerCAmelCase   ,_lowerCAmelCase   ,_lowerCAmelCase = None   ,_lowerCAmelCase = None       ):
								super().__init__()
								lowerCamelCase__         =  pad_token_id
								lowerCamelCase__         =  max_length
								lowerCamelCase__         =  vocab
								lowerCamelCase__         =  merges
								lowerCamelCase__         =  BytePairTokenizer(__A   ,__A   ,sequence_length=__A       )






		@classmethod
		def 			UpperCamelCase_					(      cls   ,_lowerCAmelCase   ,*_lowerCAmelCase   ,**_lowerCAmelCase       ):
								lowerCamelCase__         =  [""" """.join(__A       ) for m in tokenizer.bpe_ranks.keys()]
								lowerCamelCase__         =  tokenizer.get_vocab()
								return cls(__A   ,__A   ,*__A   ,**__A       )






		@classmethod
		def 			UpperCamelCase_					(      cls   ,_lowerCAmelCase   ,*_lowerCAmelCase   ,**_lowerCAmelCase       ):
								lowerCamelCase__         =  GPTaTokenizer.from_pretrained(__A   ,*__A   ,**__A       )
								return cls.from_tokenizer(__A   ,*__A   ,**__A       )






		@classmethod
		def 			UpperCamelCase_					(      cls   ,_lowerCAmelCase       ):
								return cls(**__A       )






		def 			UpperCamelCase_					(      self       ):
								return {
								    "vocab": self.vocab,
								    "merges": self.merges,
								    "max_length": self.max_length,
								    "pad_token_id": self.pad_token_id,
								}






		def 			UpperCamelCase_					(      self   ,_lowerCAmelCase   ,_lowerCAmelCase = None       ):
								lowerCamelCase__         =  self.tf_tokenizer(__A       )
								lowerCamelCase__         =  tf.ones_like(__A       )

								if self.pad_token_id is not None:
														# pad the tokens up to max length
														lowerCamelCase__         =  max_length if max_length is not None else self.max_length

														if max_length is not None:
																				lowerCamelCase__       ,			lowerCamelCase__         =  pad_model_inputs(
																				    __A   ,max_seq_length=__A   ,pad_value=self.pad_token_id       )

								return {"attention_mask": attention_mask, "input_ids": input_ids}









'''simple docstring'''







from __future__ import annotations

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

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

UpperCamelCase    :      list[str]  			=		["the", "be", "to", "of", "and", "in", "that", "have"]
def 						A__			(				__lowerCAmelCase		:			list[int]   ,    __lowerCAmelCase		:			tuple[int, ...]						):
						lowerCamelCase__         =  ""
						lowerCamelCase__         =  42
						lowerCamelCase__         =  42
						lowerCamelCase__         =  42

						for keychar, cipherchar in zip(cycle(__lowerCAmelCase						)   ,    __lowerCAmelCase						):
												lowerCamelCase__         =  cipherchar ^ keychar
												if decodedchar not in VALID_INTS:
																		return None
												decoded += chr(__lowerCAmelCase						)

						return decoded
def 						A__			(				__lowerCAmelCase		:			list[int]						):
						lowerCamelCase__         =  []
						for key in product(__lowerCAmelCase   ,    repeat=3						):
												lowerCamelCase__         =  try_key(__lowerCAmelCase   ,    __lowerCAmelCase						)
												if encoded is not None:
																		possibles.append(__lowerCAmelCase						)
						return possibles
def 						A__			(				__lowerCAmelCase		:			list[str]   ,    __lowerCAmelCase		:			str						):
						return [possible for possible in possibles if common_word in possible.lower()]
def 						A__			(				__lowerCAmelCase		:			str = "p059_cipher.txt"						):
						lowerCamelCase__         =  42
						lowerCamelCase__         =  42
						lowerCamelCase__         =  42
						lowerCamelCase__         =  42
						lowerCamelCase__         =  Path(__lowerCAmelCase						).parent.joinpath(__lowerCAmelCase						).read_text(encoding="""utf-8"""						)

						lowerCamelCase__         =  [int(__lowerCAmelCase						) for number in data.strip().split(""","""						)]

						lowerCamelCase__         =  filter_valid_chars(__lowerCAmelCase						)
						for common_word in COMMON_WORDS:
												lowerCamelCase__         =  filter_common_word(__lowerCAmelCase   ,    __lowerCAmelCase						)
												if len(__lowerCAmelCase						) == 1:
																		break

						lowerCamelCase__         =  possibles[0]
						return sum(ord(__lowerCAmelCase						) for char in decoded_text						)


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

