





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        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase			)  ->					str | None:
				lowerCamelCase			=""""""
				lowerCamelCase			=42
				lowerCamelCase			=42
				lowerCamelCase			=42

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

				return decoded





def        _lowercase   (  _UpperCAmelCase			)  ->					list[str]:
				lowerCamelCase			=[]
				for key in product(_UpperCamelCase     , repeat=3			):
								lowerCamelCase			=try_key(_UpperCamelCase     , _UpperCamelCase			)
								if encoded is not None:
												possibles.append(_UpperCamelCase			)
				return possibles





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase			)  ->					list[str]:
				return [possible for possible in possibles if common_word in possible.lower()]





def        _lowercase   (  _UpperCAmelCase = "p059_cipher.txt"			)  ->					int:
				lowerCamelCase			=42
				lowerCamelCase			=42
				lowerCamelCase			=42
				lowerCamelCase			=42
				lowerCamelCase			=Path(_UpperCamelCase			).parent.joinpath(_UpperCamelCase			).read_text(encoding="""utf-8"""			)

				lowerCamelCase			=[int(_UpperCamelCase			) for number in data.strip().split(""","""			)]

				lowerCamelCase			=filter_valid_chars(_UpperCamelCase			)
				for common_word in COMMON_WORDS:
								lowerCamelCase			=filter_common_word(_UpperCamelCase     , _UpperCamelCase			)
								if len(_UpperCamelCase			) == 1:
												break

				lowerCamelCase			=possibles[0]
				return sum(ord(_UpperCamelCase			) for char in decoded_text			)


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







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


UpperCAmelCase__  :     Optional[int]   			=logging.get_logger(__name__)

UpperCAmelCase__  :     int   			={'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase__  :     List[str]   			={
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

UpperCAmelCase__  :     Any   			={'''mobilebert-uncased''': 5_12}


UpperCAmelCase__  :     Any   			={}

class  __A       (  a      ):
				__A								=			VOCAB_FILES_NAMES
				__A								=			PRETRAINED_VOCAB_FILES_MAP
				__A								=			PRETRAINED_INIT_CONFIGURATION
				__A								=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__A								=			MobileBertTokenizer


				def __init__(						self				,	UpperCAmelCase_=None				,	UpperCAmelCase_=None				,	UpperCAmelCase_=True				,	UpperCAmelCase_="[UNK]"				,	UpperCAmelCase_="[SEP]"				,	UpperCAmelCase_="[PAD]"				,	UpperCAmelCase_="[CLS]"				,	UpperCAmelCase_="[MASK]"				,	UpperCAmelCase_=True				,	UpperCAmelCase_=None				,	**UpperCAmelCase_				,	):
								super().__init__(
								    UpperCAmelCase_				,	tokenizer_file=UpperCAmelCase_				,	do_lower_case=UpperCAmelCase_				,	unk_token=UpperCAmelCase_				,	sep_token=UpperCAmelCase_				,	pad_token=UpperCAmelCase_				,	cls_token=UpperCAmelCase_				,	mask_token=UpperCAmelCase_				,	tokenize_chinese_chars=UpperCAmelCase_				,	strip_accents=UpperCAmelCase_				,	**UpperCAmelCase_				,	)

								lowerCamelCase			=json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
								if (
								    normalizer_state.get("""lowercase"""				,	UpperCAmelCase_							) != do_lower_case
								    or normalizer_state.get("""strip_accents"""				,	UpperCAmelCase_							) != strip_accents
								    or normalizer_state.get("""handle_chinese_chars"""				,	UpperCAmelCase_							) != tokenize_chinese_chars
								):
												lowerCamelCase			=getattr(UpperCAmelCase_				,	normalizer_state.pop("""type"""							)							)
												lowerCamelCase			=do_lower_case
												lowerCamelCase			=strip_accents
												lowerCamelCase			=tokenize_chinese_chars
												lowerCamelCase			=normalizer_class(**UpperCAmelCase_							)

								lowerCamelCase			=do_lower_case


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_=None							):
								lowerCamelCase			=[self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

								return output


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								lowerCamelCase			=[self.sep_token_id]
								lowerCamelCase			=[self.cls_token_id]
								if token_ids_a is None:
												return len(cls + token_ids_a + sep							) * [0]
								return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_ = None							):
								lowerCamelCase			=self._tokenizer.model.save(UpperCAmelCase_				,	name=UpperCAmelCase_							)
								return tuple(UpperCAmelCase_							)





