


'''simple docstring'''



from __future__ import annotations

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

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

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







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
				UpperCAmelCase__  :					List[Any]        =     """"""
				UpperCAmelCase__  :					Tuple        =     4_2
				UpperCAmelCase__  :					int        =     4_2
				UpperCAmelCase__  :					Optional[int]        =     4_2

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

				return decoded







def     _UpperCamelCase      (		UpperCamelCase__					):
				UpperCAmelCase__  :					Any        =     []
				for key in product(__lowerCAmelCase ,      repeat=3					):
								UpperCAmelCase__  :					Union[str, Any]        =     try_key(__lowerCAmelCase ,      __lowerCAmelCase					)
								if encoded is not None:
												possibles.append(__lowerCAmelCase					)
				return possibles







def     _UpperCamelCase      (		UpperCamelCase__ ,      UpperCamelCase__					):
				return [possible for possible in possibles if common_word in possible.lower()]







def     _UpperCamelCase      (		UpperCamelCase__ = "p059_cipher.txt"					):
				UpperCAmelCase__  :					List[str]        =     4_2
				UpperCAmelCase__  :					Tuple        =     4_2
				UpperCAmelCase__  :					List[Any]        =     4_2
				UpperCAmelCase__  :					Any        =     4_2
				UpperCAmelCase__  :					Optional[int]        =     Path(__lowerCAmelCase					).parent.joinpath(__lowerCAmelCase					).read_text(encoding="""utf-8"""					)

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

				UpperCAmelCase__  :					Optional[int]        =     filter_valid_chars(__lowerCAmelCase					)
				for common_word in COMMON_WORDS:
								UpperCAmelCase__  :					Union[str, Any]        =     filter_common_word(__lowerCAmelCase ,      __lowerCAmelCase					)
								if len(__lowerCAmelCase					) == 1:
												break

				UpperCAmelCase__  :					Dict        =     possibles[0]
				return sum(ord(__lowerCAmelCase					) for char in decoded_text					)


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



'''simple docstring'''



import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


__A	='scheduler_config.json'


class 		_snake_case					(     a__	):
					lowerCAmelCase      :Union[str, Any]   =					1
					lowerCAmelCase      :Union[str, Any]   =					2
					lowerCAmelCase      :Optional[int]   =					3
					lowerCAmelCase      :Optional[int]   =					4
					lowerCAmelCase      :Any   =					5
					lowerCAmelCase      :Tuple   =					6
					lowerCAmelCase      :List[Any]   =					7
					lowerCAmelCase      :str   =					8
					lowerCAmelCase      :List[Any]   =					9
					lowerCAmelCase      :List[str]   =					10
					lowerCAmelCase      :Union[str, Any]   =					11
					lowerCAmelCase      :Optional[int]   =					12
					lowerCAmelCase      :str   =					13
					lowerCAmelCase      :Dict   =					14


@dataclass
class 		_snake_case					(     a__	):
					lowerCAmelCase      :torch.FloatTensor


class 		_snake_case					:
					lowerCAmelCase      :str   =					SCHEDULER_CONFIG_NAME
					lowerCAmelCase      :Union[str, Any]   =					[]
					lowerCAmelCase      :List[str]   =					True




					@classmethod
					def 				snake_case__						(      cls							,							_lowerCamelCase = None							,							_lowerCamelCase = None							,							_lowerCamelCase=False							,							**_lowerCamelCase							,							):
								UpperCAmelCase__   ,       UpperCAmelCase__   ,       UpperCAmelCase__  :					Optional[int]        =     cls.load_config(
								    pretrained_model_name_or_path=_lowerCamelCase							,							subfolder=_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							return_commit_hash=_lowerCamelCase							,							**_lowerCamelCase							,							)
								return cls.from_config(_lowerCamelCase							,							return_unused_kwargs=_lowerCamelCase							,							**_lowerCamelCase)




					def 				snake_case__						(      self							,							_lowerCamelCase							,							_lowerCamelCase = False							,							**_lowerCamelCase):
								self.save_config(save_directory=_lowerCamelCase							,							push_to_hub=_lowerCamelCase							,							**_lowerCamelCase)




					@property
					def 				snake_case__						(      self):
								return self._get_compatibles()




					@classmethod
					def 				snake_case__						(      cls):
								UpperCAmelCase__  :					List[Any]        =     list(set([cls.__name__] + cls._compatibles))
								UpperCAmelCase__  :					int        =     importlib.import_module(__name__.split(""".""")[0])
								UpperCAmelCase__  :					Dict        =     [
								    getattr(_lowerCamelCase							,							_lowerCamelCase) for c in compatible_classes_str if hasattr(_lowerCamelCase							,							_lowerCamelCase)
								]
								return compatible_classes