




'''simple docstring'''

from __future__ import annotations

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

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

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


def __UpperCAmelCase	(   _UpperCAmelCase		:   list[int]		,				_UpperCAmelCase		:   tuple[int, ...]						)      ->      str | None:
			__snake_case			=		""
			__snake_case			=		42
			__snake_case			=		42
			__snake_case			=		42

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

			return decoded


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


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


def __UpperCAmelCase	(   _UpperCAmelCase		:   str = "p059_cipher.txt"						)      ->      int:
			__snake_case			=		42
			__snake_case			=		42
			__snake_case			=		42
			__snake_case			=		42
			__snake_case			=		Path(_UpperCAmelCase						).parent.joinpath(_UpperCAmelCase						).read_text(encoding="utf-8"						)

			__snake_case			=		[int(_UpperCAmelCase						) for number in data.strip().split(","						)]

			__snake_case			=		filter_valid_chars(_UpperCAmelCase						)
			for common_word in COMMON_WORDS:
						__snake_case			=		filter_common_word(_UpperCAmelCase		,				_UpperCAmelCase						)
						if len(_UpperCAmelCase						) == 1:
									break

			__snake_case			=		possibles[0]
			return sum(ord(_UpperCAmelCase						) for char in decoded_text						)


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







"""simple docstring"""
from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					     =	{
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		'''efficientnet'''




							def __init__( self    ,				snake_case_ = 3    ,				snake_case_ = 600    ,				snake_case_ = 2.0    ,				snake_case_ = 3.1    ,				snake_case_ = 8    ,				snake_case_ = [3, 3, 5, 3, 5, 5, 3]    ,				snake_case_ = [32, 16, 24, 40, 80, 112, 192]    ,				snake_case_ = [16, 24, 40, 80, 112, 192, 320]    ,				snake_case_ = []    ,				snake_case_ = [1, 2, 2, 2, 1, 2, 1]    ,				snake_case_ = [1, 2, 2, 3, 3, 4, 1]    ,				snake_case_ = [1, 6, 6, 6, 6, 6, 6]    ,				snake_case_ = 0.25    ,				snake_case_ = "swish"    ,				snake_case_ = 2_560    ,				snake_case_ = "mean"    ,				snake_case_ = 0.02    ,				snake_case_ = 0.001    ,				snake_case_ = 0.99    ,				snake_case_ = 0.5    ,				snake_case_ = 0.2    ,				**snake_case_    ,				)       ->  List[str]:
													super().__init__(**snake_case_				)

													__lowerCAmelCase     =  num_channels
													__lowerCAmelCase     =  image_size
													__lowerCAmelCase     =  width_coefficient
													__lowerCAmelCase     =  depth_coefficient
													__lowerCAmelCase     =  depth_divisor
													__lowerCAmelCase     =  kernel_sizes
													__lowerCAmelCase     =  in_channels
													__lowerCAmelCase     =  out_channels
													__lowerCAmelCase     =  depthwise_padding
													__lowerCAmelCase     =  strides
													__lowerCAmelCase     =  num_block_repeats
													__lowerCAmelCase     =  expand_ratios
													__lowerCAmelCase     =  squeeze_expansion_ratio
													__lowerCAmelCase     =  hidden_act
													__lowerCAmelCase     =  hidden_dim
													__lowerCAmelCase     =  pooling_type
													__lowerCAmelCase     =  initializer_range
													__lowerCAmelCase     =  batch_norm_eps
													__lowerCAmelCase     =  batch_norm_momentum
													__lowerCAmelCase     =  dropout_rate
													__lowerCAmelCase     =  drop_connect_rate
													__lowerCAmelCase     =  sum(snake_case_				) * 4
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		version.parse('''1.11''' )




							@property
							def    A__						( self				)       ->  Mapping[str, Mapping[int, str]]:
													return OrderedDict(
													    [
													        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
													    ]				)




							@property
							def    A__						( self				)       ->  float:
													return 1e-5
