'''simple docstring'''

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

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
       from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
       lowerCAmelCase_ : Any						  =      get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
       from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

lowerCAmelCase_ : Union[str, Any]						  =      128_022
lowerCAmelCase_ : Optional[Any]						  =      128_028





@require_sentencepiece
class 							lowercase						(						_UpperCamelCase ,				unittest.TestCase ):
   lowerCamelCase_    					=MaMaaaTokenizer
   lowerCamelCase_    					=False
   lowerCamelCase_    					=False
   lowerCamelCase_    					=True


   def lowerCamelCase__       (   self				:	str)      ->					List[Any]:
         super().setUp()

         lowercase_     =      ["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
         lowercase_     =      dict(zip(__lowerCAmelCase   ,		range(len(__lowerCAmelCase))))
         lowercase_     =      Path(self.tmpdirname)
         save_json(__lowerCAmelCase   ,		save_dir / VOCAB_FILES_NAMES["vocab_file"])
         if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
               copyfile(__lowerCAmelCase   ,		save_dir / VOCAB_FILES_NAMES["spm_file"])

         lowercase_     =      MaMaaaTokenizer.from_pretrained(self.tmpdirname)
         tokenizer.save_pretrained(self.tmpdirname)


   def lowerCamelCase__       (   self				:	Dict   ,		**__lowerCAmelCase				:	Optional[int])      ->					int:
         return MaMaaaTokenizer.from_pretrained(self.tmpdirname   ,		**__lowerCAmelCase)


   def lowerCamelCase__       (   self				:	int   ,		__lowerCAmelCase				:	Any)      ->					List[Any]:
         return (
             "This is a test",
             "This is a test",
         )


   def lowerCamelCase__       (   self				:	Dict)      ->					Optional[Any]:
         lowercase_     =      "</s>"
         lowercase_     =      0

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


   def lowerCamelCase__       (   self				:	Dict)      ->					str:
         lowercase_     =      self.get_tokenizer()
         lowercase_     =      list(tokenizer.get_vocab().keys())

         self.assertEqual(vocab_keys[0]   ,		"</s>")
         self.assertEqual(vocab_keys[1]   ,		"<unk>")
         self.assertEqual(vocab_keys[-1]   ,		"<s>")
         self.assertEqual(len(__lowerCAmelCase)   ,		tokenizer.vocab_size + len(tokenizer.get_added_vocab()))


   @unittest.skip("Skip this test while all models are still to be uploaded.")
   def lowerCamelCase__       (   self				:	Any)      ->					Optional[int]:
         pass


   def lowerCamelCase__       (   self				:	Any)      ->					Any:
         lowercase_     =      self.get_tokenizer()

         lowercase_     =      tokenizer.tokenize("This is a test")
         self.assertListEqual(__lowerCAmelCase   ,		["▁This", "▁is", "▁a", "▁t", "est"])

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(__lowerCAmelCase)   ,		[2, 3, 4, 5, 6]   ,		)

         lowercase_     =      tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6])
         self.assertListEqual(__lowerCAmelCase   ,		["▁This", "▁is", "▁a", "▁t", "est"])

         lowercase_     =      tokenizer.convert_tokens_to_string(__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		"This is a test")


   @slow
   def lowerCamelCase__       (   self				:	List[str])      ->					List[str]:
         # fmt: off
         lowercase_     =      {"input_ids": [[12_8022, 11_0108, 397, 11, 3_8272, 2247, 12_4811, 285, 1_8105, 1586, 207, 7, 3_9534, 4428, 397, 1019, 1_8105, 1586, 207, 7, 4_1337, 1_6786, 241, 7, 2_0214, 17, 12_5690, 1_0398, 7, 4_4378, 5_8069, 6_8342, 7798, 7343, 11, 299, 3_3310, 4, 158, 3_7350, 9_4077, 4569, 299, 3_3310, 90, 4, 5_2840, 290, 4, 3_1270, 112, 299, 682, 4, 5_2840, 3_9953, 1_4079, 193, 5_2519, 9_0894, 1_7894, 12_0697, 11, 4_0445, 551, 17, 1019, 5_2519, 9_0894, 1_7756, 963, 11, 4_0445, 480, 17, 9792, 1120, 5173, 1393, 6240, 1_6786, 241, 12_0996, 28, 1245, 1393, 11_8240, 1_1123, 1019, 9_3612, 2691, 1_0618, 9_8058, 12_0409, 1928, 279, 4, 4_0683, 367, 178, 207, 1019, 103, 10_3121, 506, 6_5296, 5, 2], [12_8022, 2_1217, 367, 117, 12_5450, 128, 719, 7, 7308, 40, 9_3612, 1_2669, 1116, 1_6704, 71, 1_7785, 3699, 1_5592, 35, 144, 9584, 241, 1_1943, 713, 950, 799, 2247, 8_8427, 150, 149, 11_8813, 12_0706, 1019, 10_6906, 8_1518, 28, 1224, 2_2799, 397, 5, 2, 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], [12_8022, 1658, 12_3311, 5155, 5578, 4722, 279, 1_4947, 2366, 1120, 1197, 14, 1348, 9232, 5, 2, 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]], "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, 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], [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, 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=__lowerCAmelCase   ,		model_name="facebook/m2m100_418M"   ,		revision="c168bae485c864188cf9aa0e4108b0b6934dc91e"   ,		)





@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowercase						(						unittest.TestCase ):
   lowerCamelCase_    					='facebook/m2m100_418M'
   lowerCamelCase_    					=[
       'In my opinion, there are two levels of response from the French government.',
       'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
   ]
   lowerCamelCase_    					=[
       'Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.',
       'L\'affaire NSA souligne l\'absence totale de débat sur le renseignement',
   ]

   # fmt: off
   lowerCamelCase_    					=[EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]


   @classmethod
   def lowerCamelCase__       (   cls				:	Optional[int])      ->					Tuple:
         lowercase_     =      MaMaaaTokenizer.from_pretrained(
             cls.checkpoint_name   ,		src_lang="en"   ,		tgt_lang="fr")
         lowercase_     =      1
         return cls


   def lowerCamelCase__       (   self				:	Tuple)      ->					Optional[int]:
         self.assertEqual(self.tokenizer.get_lang_id("ar")   ,		12_8006)
         self.assertEqual(self.tokenizer.get_lang_id("en")   ,		12_8022)
         self.assertEqual(self.tokenizer.get_lang_id("ro")   ,		12_8076)
         self.assertEqual(self.tokenizer.get_lang_id("mr")   ,		12_8063)


   def lowerCamelCase__       (   self				:	int)      ->					Optional[Any]:
         lowercase_     =      self.tokenizer.get_vocab()
         self.assertEqual(len(__lowerCAmelCase)   ,		self.tokenizer.vocab_size)
         self.assertEqual(vocab["<unk>"]   ,		3)
         self.assertIn(self.tokenizer.get_lang_token("en")   ,		__lowerCAmelCase)


   def lowerCamelCase__       (   self				:	Optional[int])      ->					str:
         lowercase_     =      "en"
         lowercase_     =      self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
         self.assertListEqual(self.expected_src_tokens   ,		__lowerCAmelCase)


   def lowerCamelCase__       (   self				:	Optional[int])      ->					Dict:
         self.assertIn(__lowerCAmelCase   ,		self.tokenizer.all_special_ids)
         # fmt: off
         lowercase_     =      [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 1_4028, 136, 3286, 9706, 6, 9_0797, 6, 14_4012, 162, 8_8128, 3_0061, 5, 2]
         # fmt: on
         lowercase_     =      self.tokenizer.decode(__lowerCAmelCase   ,		skip_special_tokens=__lowerCAmelCase)
         lowercase_     =      self.tokenizer.decode(generated_ids[1:]   ,		skip_special_tokens=__lowerCAmelCase)
         self.assertEqual(__lowerCAmelCase   ,		__lowerCAmelCase)
         self.assertNotIn(self.tokenizer.eos_token   ,		__lowerCAmelCase)


   def lowerCamelCase__       (   self				:	Dict)      ->					Optional[Any]:
         lowercase_     =      tempfile.mkdtemp()
         lowercase_     =      self.tokenizer.lang_token_to_id
         self.tokenizer.save_pretrained(__lowerCAmelCase)
         lowercase_     =      MaMaaaTokenizer.from_pretrained(__lowerCAmelCase)
         self.assertDictEqual(new_tok.lang_token_to_id   ,		__lowerCAmelCase)


   @require_torch
   def lowerCamelCase__       (   self				:	Tuple)      ->					Dict:
         lowercase_     =      "en"
         lowercase_     =      "fr"

         lowercase_     =      self.tokenizer(self.src_text   ,		text_target=self.tgt_text   ,		padding=__lowerCAmelCase   ,		return_tensors="pt")

         lowercase_     =      shift_tokens_right(
             batch["labels"]   ,		self.tokenizer.pad_token_id   ,		self.tokenizer.eos_token_id)

         for k in batch:
               lowercase_     =      batch[k].tolist()
         # batch = {k: v.tolist() for k,v in batch.items()}
         # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
         # batch.decoder_inputs_ids[0][0] ==
         assert batch.input_ids[1][0] == EN_CODE
         assert batch.input_ids[1][-1] == 2
         assert batch.labels[1][0] == FR_CODE
         assert batch.labels[1][-1] == 2
         assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]


   @require_torch
   def lowerCamelCase__       (   self				:	Tuple)      ->					Any:
         lowercase_     =      "mr"
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id("mr")])
         self.assertListEqual(self.tokenizer.suffix_tokens   ,		[self.tokenizer.eos_token_id])

         lowercase_     =      "zh"
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id("zh")])
         self.assertListEqual(self.tokenizer.suffix_tokens   ,		[self.tokenizer.eos_token_id])


   @require_torch
   def lowerCamelCase__       (   self				:	str)      ->					List[str]:
         lowercase_     =      "mr"
         self.tokenizer._switch_to_target_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id("mr")])
         self.assertListEqual(self.tokenizer.suffix_tokens   ,		[self.tokenizer.eos_token_id])
         self.tokenizer._switch_to_input_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id(self.tokenizer.src_lang)])

         lowercase_     =      "zh"
         self.tokenizer._switch_to_target_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id("zh")])
         self.assertListEqual(self.tokenizer.suffix_tokens   ,		[self.tokenizer.eos_token_id])
         self.tokenizer._switch_to_input_mode()
         self.assertListEqual(self.tokenizer.prefix_tokens   ,		[self.tokenizer.get_lang_id(self.tokenizer.src_lang)])


   @require_torch
   def lowerCamelCase__       (   self				:	Union[str, Any])      ->					Any:
         lowercase_     =      self.tokenizer._build_translation_inputs("A test"   ,		return_tensors="pt"   ,		src_lang="en"   ,		tgt_lang="ar")

         self.assertEqual(
             nested_simplify(__lowerCAmelCase)   ,		{
                 # en_XX, A, test, EOS
                 "input_ids": [[12_8022, 58, 4183, 2]],
                 "attention_mask": [[1, 1, 1, 1]],
                 # ar_AR
                 "forced_bos_token_id": 12_8006,
             }   ,		)







'''simple docstring'''

from __future__ import annotations


def __a (	__lowerCamelCase			:						int				)	->							list[int]:
      '''simple docstring'''


      lowercase_     =      [True] * limit
      lowercase_     =      False
      lowercase_     =      False
      lowercase_     =      True

      for i in range(3 ,		int(limit**0.5 + 1				) ,		2				):
            lowercase_     =      i * 2
            while index < limit:
                  lowercase_     =      False
                  lowercase_     =      index + i

      lowercase_     =      [2]

      for i in range(3 ,		__lowerCamelCase ,		2				):
            if is_prime[i]:
                  primes.append(__lowerCamelCase				)

      return primes


def __a (	__lowerCamelCase			:						int = 1_000_000				)	->							int:
      '''simple docstring'''


      lowercase_     =      prime_sieve(__lowerCamelCase				)
      lowercase_     =      0
      lowercase_     =      0

      for i in range(len(__lowerCamelCase				)				):
            for j in range(i + length ,		len(__lowerCamelCase				)				):
                  lowercase_     =      sum(primes[i:j]				)
                  if sol >= ceiling:
                        break

                  if sol in primes:
                        lowercase_     =      j - i
                        lowercase_     =      sol

      return largest


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






