
'''simple docstring'''






import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
					from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


A			      =      get_tests_dir('fixtures/test_sentencepiece.model')

A			      =      {'target_lang': 'fi', 'source_lang': 'en'}
A			      =      '>>zh<<'
A			      =      'Helsinki-NLP/'

if is_torch_available():
					A			      =      'pt'
elif is_tf_available():
					A			      =      'tf'
else:
					A			      =      'jax'




@require_sentencepiece
class     __snake_case		(   a__    ,   unittest.TestCase):
					_lowerCAmelCase			     =	MarianTokenizer
					_lowerCAmelCase			     =	False
					_lowerCAmelCase			     =	True
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									super().setUp()
									lowerCamelCase					:			List[Any]									= ['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
									lowerCamelCase					:			Optional[int]									= dict(zip(A,    range(len(A      )      )      )      )
									lowerCamelCase					:			str									= Path(self.tmpdirname      )
									save_json(A,    save_dir / VOCAB_FILES_NAMES['vocab']      )
									save_json(A,    save_dir / VOCAB_FILES_NAMES['tokenizer_config_file']      )
									if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
													copyfile(A,    save_dir / VOCAB_FILES_NAMES['source_spm']      )
													copyfile(A,    save_dir / VOCAB_FILES_NAMES['target_spm']      )

									lowerCamelCase					:			Union[str, Any]									= MarianTokenizer.from_pretrained(self.tmpdirname      )
									tokenizer.save_pretrained(self.tmpdirname      )
					def     UpperCAmelCase_							(     self,    **A      ):

									"""simple docstring"""


									return MarianTokenizer.from_pretrained(self.tmpdirname,    **A      )
					def     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									return (
									    "This is a test",
									    "This is a test",
									)
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= '</s>'
									lowerCamelCase					:			Union[str, Any]									= 0

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(A      ),    A      )
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(A      ),    A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= list(self.get_tokenizer().get_vocab().keys()      )

									self.assertEqual(vocab_keys[0],    '</s>'      )
									self.assertEqual(vocab_keys[1],    '<unk>'      )
									self.assertEqual(vocab_keys[-1],    '<pad>'      )
									self.assertEqual(len(A      ),    9      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									self.assertEqual(self.get_tokenizer().vocab_size,    9      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= MarianTokenizer.from_pretrained(F'''{ORG_NAME}opus-mt-en-de'''      )
									lowerCamelCase					:			Any									= en_de_tokenizer(['I am a small frog'],    return_tensors=A      )
									self.assertIsInstance(A,    A      )
									lowerCamelCase					:			List[Any]									= [38, 121, 14, 697, 3_8848, 0]
									self.assertListEqual(A,    batch.input_ids[0]      )

									lowerCamelCase					:			Tuple									= tempfile.mkdtemp()
									en_de_tokenizer.save_pretrained(A      )
									lowerCamelCase					:			str									= [x.name for x in Path(A      ).glob('*'      )]
									self.assertIn('source.spm',    A      )
									MarianTokenizer.from_pretrained(A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= self.get_tokenizer()

									lowerCamelCase					:			Union[str, Any]									= tok(
									    ['I am a small frog' * 1000, 'I am a small frog'],    padding=A,    truncation=A,    return_tensors=A      )
									self.assertIsInstance(A,    A      )
									self.assertEqual(batch.input_ids.shape,    (2, 512)      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= self.get_tokenizer()
									lowerCamelCase					:			Tuple									= tok(['I am a tiny frog', 'I am a small frog'],    padding=A,    return_tensors=A      )
									self.assertIsInstance(A,    A      )
									self.assertEqual(batch_smaller.input_ids.shape,    (2, 10)      )
					@slow
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= {'input_ids': [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], '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, 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], [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]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=A,    model_name='Helsinki-NLP/opus-mt-en-de',    revision='1a8c2263da11e68e50938f97e10cd57820bd504c',    decode_kwargs={'use_source_tokenizer': True},    )




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'      )

									lowerCamelCase					:			List[str]									= 'Tämä on testi'
									lowerCamelCase					:			Tuple									= 'This is a test'

									lowerCamelCase					:			int									= [76, 7, 2047, 2]
									lowerCamelCase					:			int									= [69, 12, 11, 940, 2]

									lowerCamelCase					:			Union[str, Any]									= tokenizer(A      ).input_ids
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= tokenizer(text_target=A      ).input_ids
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			List[str]									= tokenizer.decode(A,    skip_special_tokens=A      )
									self.assertEqual(A,    A      )







'''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() = }""")
