
'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


A			      =      {'configuration_vit': ['VIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTConfig', 'ViTOnnxConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A			      =      ['ViTFeatureExtractor']
					A			      =      ['ViTImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A			      =      [
					    'VIT_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'ViTForImageClassification',
					    'ViTForMaskedImageModeling',
					    'ViTModel',
					    'ViTPreTrainedModel',
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A			      =      [
					    'TFViTForImageClassification',
					    'TFViTModel',
					    'TFViTPreTrainedModel',
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					A			      =      [
					    'FlaxViTForImageClassification',
					    'FlaxViTModel',
					    'FlaxViTPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_vit import ViTFeatureExtractor
										from .image_processing_vit import ViTImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_vit import (
										    VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ViTForImageClassification,
										    ViTForMaskedImageModeling,
										    ViTModel,
										    ViTPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
					import sys

					A			      =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


'''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__							:							list[int]       ,							UpperCAmelCase__							:							tuple[int, ...]):
				lowerCamelCase					:			str									= ""
				lowerCamelCase					:			int
				lowerCamelCase					:			int
				lowerCamelCase					:			int

				for keychar, cipherchar in zip(cycle(UpperCAmelCase__)       ,							UpperCAmelCase__):
								lowerCamelCase					:			Optional[Any]									= cipherchar ^ keychar
								if decodedchar not in VALID_INTS:
												return None
								decoded += chr(UpperCAmelCase__)

				return decoded





def    UpperCAmelCase							(  UpperCAmelCase__							:							list[int]):
				lowerCamelCase					:			list[str]									= []
				for key in product(UpperCAmelCase__       ,							repeat=3):
								lowerCamelCase					:			Dict									= try_key(UpperCAmelCase__       ,							UpperCAmelCase__)
								if encoded is not None:
												possibles.append(UpperCAmelCase__)
				return possibles





def    UpperCAmelCase							(  UpperCAmelCase__							:							list[str]       ,							UpperCAmelCase__							:							str):
				return [possible for possible in possibles if common_word in possible.lower()]





def    UpperCAmelCase							(  UpperCAmelCase__							:							str = "p059_cipher.txt"):
				lowerCamelCase					:			list[int]
				lowerCamelCase					:			list[str]
				lowerCamelCase					:			str
				lowerCamelCase					:			str
				lowerCamelCase					:			str									= Path(UpperCAmelCase__).parent.joinpath(UpperCAmelCase__).read_text(encoding='utf-8')

				lowerCamelCase					:			Tuple									= [int(UpperCAmelCase__) for number in data.strip().split(',')]

				lowerCamelCase					:			str									= filter_valid_chars(UpperCAmelCase__)
				for common_word in COMMON_WORDS:
								lowerCamelCase					:			List[str]									= filter_common_word(UpperCAmelCase__       ,							UpperCAmelCase__)
								if len(UpperCAmelCase__) == 1:
												break

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


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