





'''simple docstring'''






from __future__ import annotations

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

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

snake_case_     =	["the", "be", "to", "of", "and", "in", "that", "have"]
def 							_lowerCamelCase(  UpperCamelCase__    : list[int]    ,       UpperCamelCase__    : tuple[int, ...]		)		->  str | None:
    A       :       str							=						""
    A       :       int
    A       :       int
    A       :       int

    for keychar, cipherchar in zip(cycle(UpperCamelCase__		)    ,       UpperCamelCase__		):
        A       :       List[str]							=						cipherchar ^ keychar
        if decodedchar not in VALID_INTS:
            return None
        decoded += chr(UpperCamelCase__		)

    return decoded
def 							_lowerCamelCase(  UpperCamelCase__    : list[int]		)		->  list[str]:
    A       :       list[str]							=						[]
    for key in product(UpperCamelCase__    ,       repeat=3		):
        A       :       List[str]							=						try_key(UpperCamelCase__    ,       UpperCamelCase__		)
        if encoded is not None:
            possibles.append(UpperCamelCase__		)
    return possibles
def 							_lowerCamelCase(  UpperCamelCase__    : list[str]    ,       UpperCamelCase__    : str		)		->  list[str]:
    return [possible for possible in possibles if common_word in possible.lower()]
def 							_lowerCamelCase(  UpperCamelCase__    : str = "p059_cipher.txt"		)		->  int:
    A       :       list[int]
    A       :       list[str]
    A       :       str
    A       :       str
    A       :       str							=						Path(UpperCamelCase__		).parent.joinpath(UpperCamelCase__		).read_text(encoding='''utf-8'''		)

    A       :       List[Any]							=						[int(UpperCamelCase__		) for number in data.strip().split(''','''		)]

    A       :       int							=						filter_valid_chars(UpperCamelCase__		)
    for common_word in COMMON_WORDS:
        A       :       int							=						filter_common_word(UpperCamelCase__    ,       UpperCamelCase__		)
        if len(UpperCamelCase__		) == 1:
            break

    A       :       Union[str, Any]							=						possibles[0]
    return sum(ord(UpperCamelCase__		) for char in decoded_text		)


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







'''simple docstring'''






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_     =	get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
class   _lowercase						(							a		,					unittest.TestCase				):
   _UpperCamelCase       		=   XLMProphetNetTokenizer
   _UpperCamelCase       		=   False
   _UpperCamelCase       		=   True


   def 					snake_case				( self					):
       super().setUp()

       # We have a SentencePiece fixture for testing
       A       :       Dict							=						XLMProphetNetTokenizer(_UpperCAmelCase    ,   keep_accents=_UpperCAmelCase					)
       tokenizer.save_pretrained(self.tmpdirname					)


   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						'''[PAD]'''
       A       :       Optional[int]							=						0

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase					)    ,   _UpperCAmelCase					)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase					)    ,   _UpperCAmelCase					)


   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						list(self.get_tokenizer().get_vocab().keys()					)

       self.assertEqual(vocab_keys[0]    ,   '''[PAD]'''					)
       self.assertEqual(vocab_keys[1]    ,   '''[CLS]'''					)
       self.assertEqual(vocab_keys[-1]    ,   '''j'''					)
       self.assertEqual(len(_UpperCAmelCase					)    ,   1_012					)


   def 					snake_case				( self					):
       self.assertEqual(self.get_tokenizer().vocab_size    ,   1_012					)


   def 					snake_case				( self					):
       A       :       Dict							=						XLMProphetNetTokenizer(_UpperCAmelCase    ,   keep_accents=_UpperCAmelCase					)

       A       :       int							=						tokenizer.tokenize('''This is a test'''					)
       self.assertListEqual(_UpperCAmelCase    ,   ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']					)

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)    ,   [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]    ,   )

       A       :       Optional[Any]							=						tokenizer.tokenize('''I was born in 92000, and this is falsé.'''					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''9''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''é''',
               '''.''',
           ]    ,   )
       A       :       int							=						tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               value + tokenizer.fairseq_offset
               for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
           ]    ,   )

       A       :       Union[str, Any]							=						tokenizer.convert_ids_to_tokens(_UpperCAmelCase					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''[UNK]''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''[UNK]''',
               '''.''',
           ]    ,   )


   @cached_property
   def 					snake_case				( self					):
       return XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased'''					)


   @slow
   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						'''Hello World!'''
       A       :       Any							=						[35_389, 6_672, 49, 2]
       self.assertListEqual(_UpperCAmelCase    ,   self.big_tokenizer.encode(_UpperCAmelCase					)					)


   @slow
   def 					snake_case				( self					):
       # fmt: off
       A       :       List[Any]							=						{'''input_ids''': [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=_UpperCAmelCase    ,   model_name='''microsoft/xprophetnet-large-wiki100-cased'''    ,   revision='''1acad1643ddd54a44df6a1b797ada8373685d90e'''    ,   )
