




'''simple docstring'''
from __future__ import annotations

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

_SCREAMING_SNAKE_CASE			=						(
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
_SCREAMING_SNAKE_CASE			=						[ord(letter) for letter in string.ascii_lowercase]
_SCREAMING_SNAKE_CASE			=						{ord(char) for char in VALID_CHARS}

_SCREAMING_SNAKE_CASE			=						["the", "be", "to", "of", "and", "in", "that", "have"]





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )		->		str | None:
			A_									= ""
			A_									= 42
			A_									= 42
			A_									= 42

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

			return decoded





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





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





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_ = "p059_cipher.txt"     )		->		int:
			A_									= 42
			A_									= 42
			A_									= 42
			A_									= 42
			A_									= Path(SCREAMING_SNAKE_CASE_     ).parent.joinpath(SCREAMING_SNAKE_CASE_     ).read_text(encoding='utf-8'     )

			A_									= [int(SCREAMING_SNAKE_CASE_     ) for number in data.strip().split(','     )]

			A_									= filter_valid_chars(SCREAMING_SNAKE_CASE_     )
			for common_word in COMMON_WORDS:
						A_									= filter_common_word(SCREAMING_SNAKE_CASE_       ,SCREAMING_SNAKE_CASE_     )
						if len(SCREAMING_SNAKE_CASE_     ) == 1:
									break

			A_									= possibles[0]
			return sum(ord(SCREAMING_SNAKE_CASE_     ) for char in decoded_text     )


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










'''simple docstring'''
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict





@pytest.mark.parametrize(
    'split_dict'       ,[
        SplitDict(),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42       ,dataset_name='my_dataset'     )}     ),
        SplitDict({'train': SplitInfo(name='train'       ,num_bytes=1337       ,num_examples=42     )}     ),
        SplitDict({'train': SplitInfo()}     ),
    ]       ,)
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		List[str]:
			A_									= split_dict._to_yaml_list()
			assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )
			A_									= SplitDict._from_yaml_list(SCREAMING_SNAKE_CASE_     )
			for split_name, split_info in split_dict.items():
						# dataset_name field is deprecated, and is therefore not part of the YAML dump
						A_									= None
						# the split name of split_dict takes over the name of the split info object
						A_									= split_name
			assert split_dict == reloaded






@pytest.mark.parametrize(
    'split_info'       ,[SplitInfo(), SplitInfo(dataset_name=SCREAMING_SNAKE_CASE_     ), SplitInfo(dataset_name='my_dataset'     )]     )
def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		Optional[Any]:
			# For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
			# field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
			A_									= asdict(SplitDict({'train': split_info}     )     )
			assert "dataset_name" in split_dict_asdict["train"]
			assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




