


'''simple docstring'''





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


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


if is_torch_available():
    from transformers.models.mbart.modeling_mbart import shift_tokens_right

A      = 25_0004
A      = 25_0020


@require_sentencepiece
@require_tokenizers
class     lowercase__  (					SCREAMING_SNAKE_CASE__					,							unittest.TestCase		):
  A__=  MBartTokenizer
  A__=  MBartTokenizerFast
  A__=  True
  A__=  True






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         super().setUp()

         # We have a SentencePiece fixture for testing
         UpperCAmelCase__										=     MBartTokenizer(_lowercase		,						keep_accents=_lowercase )
         tokenizer.save_pretrained(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     MBartTokenizer(_lowercase		,						keep_accents=_lowercase )

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

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(_lowercase )		,						[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]		,						)

         UpperCAmelCase__										=     tokenizer.tokenize("I was born in 92000, and this is falsé." )
         self.assertListEqual(
             _lowercase		,						[
                 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",
                 ".",
             ]		,						)
         UpperCAmelCase__										=     tokenizer.convert_tokens_to_ids(_lowercase )
         self.assertListEqual(
             _lowercase		,						[
                 value + tokenizer.fairseq_offset
                 for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                 #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
             ]		,						)

         UpperCAmelCase__										=     tokenizer.convert_ids_to_tokens(_lowercase )
         self.assertListEqual(
             _lowercase		,						[
                 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>",
                 ".",
             ]		,						)






  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         if not self.test_slow_tokenizer:
                # as we don't have a slow version, we can't compare the outputs between slow and fast versions
                return

         UpperCAmelCase__										=     (self.rust_tokenizer_class, """hf-internal-testing/tiny-random-mbart""", {})
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                       UpperCAmelCase__										=     self.rust_tokenizer_class.from_pretrained(_lowercase		,						**_lowercase )
                       UpperCAmelCase__										=     self.tokenizer_class.from_pretrained(_lowercase		,						**_lowercase )

                       UpperCAmelCase__										=     tempfile.mkdtemp()

                       UpperCAmelCase__										=     tokenizer_r.save_pretrained(_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.save_pretrained(_lowercase )

                       # Checks it save with the same files + the tokenizer.json file for the fast one
                       self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files ) )
                       UpperCAmelCase__										=     tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f )
                       self.assertSequenceEqual(_lowercase		,						_lowercase )

                       # Checks everything loads correctly in the same way
                       UpperCAmelCase__										=     tokenizer_r.from_pretrained(_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.from_pretrained(_lowercase )

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                              self.assertTrue(hasattr(_lowercase		,						_lowercase ) )
                              # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
                              # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

                       shutil.rmtree(_lowercase )

                       # Save tokenizer rust, legacy_format=True
                       UpperCAmelCase__										=     tempfile.mkdtemp()

                       UpperCAmelCase__										=     tokenizer_r.save_pretrained(_lowercase		,						legacy_format=_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.save_pretrained(_lowercase )

                       # Checks it save with the same files
                       self.assertSequenceEqual(_lowercase		,						_lowercase )

                       # Checks everything loads correctly in the same way
                       UpperCAmelCase__										=     tokenizer_r.from_pretrained(_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.from_pretrained(_lowercase )

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                              self.assertTrue(hasattr(_lowercase		,						_lowercase ) )

                       shutil.rmtree(_lowercase )

                       # Save tokenizer rust, legacy_format=False
                       UpperCAmelCase__										=     tempfile.mkdtemp()

                       UpperCAmelCase__										=     tokenizer_r.save_pretrained(_lowercase		,						legacy_format=_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.save_pretrained(_lowercase )

                       # Checks it saved the tokenizer.json file
                       self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files ) )

                       # Checks everything loads correctly in the same way
                       UpperCAmelCase__										=     tokenizer_r.from_pretrained(_lowercase )
                       UpperCAmelCase__										=     tokenizer_p.from_pretrained(_lowercase )

                       # Check special tokens are set accordingly on Rust and Python
                       for key in tokenizer_pp.special_tokens_map:
                              self.assertTrue(hasattr(_lowercase		,						_lowercase ) )

                       shutil.rmtree(_lowercase )




@require_torch
@require_sentencepiece
@require_tokenizers
class     lowercase__  (					unittest.TestCase		):
  A__=  'facebook/mbart-large-en-ro'
  A__=  [
      ' UN Chief Says There Is No Military Solution in Syria',
      ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
  ]
  A__=  [
      'Şeful ONU declară că nu există o soluţie militară în Siria',
      'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
      ' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'
      ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
  ]
  A__=  [8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2, EN_CODE]






  @classmethod
  def 			_UpperCAmelCase  (					cls      :					int ):




         """simple docstring"""







         UpperCAmelCase__										=     MBartTokenizer.from_pretrained(
             cls.checkpoint_name		,						src_lang="en_XX"		,						tgt_lang="ro_RO" )
         UpperCAmelCase__										=     1
         return cls






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"]		,						25_00_01 )
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"]		,						25_00_04 )
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"]		,						25_00_20 )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
         self.assertListEqual(self.expected_src_tokens		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         self.assertIn(_lowercase		,						self.tokenizer.all_special_ids )
         UpperCAmelCase__										=     [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
         UpperCAmelCase__										=     self.tokenizer.decode(_lowercase		,						skip_special_tokens=_lowercase )
         UpperCAmelCase__										=     self.tokenizer.decode(generated_ids[1:]		,						skip_special_tokens=_lowercase )
         self.assertEqual(_lowercase		,						_lowercase )
         self.assertNotIn(self.tokenizer.eos_token		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     ["""this is gunna be a long sentence """ * 20]
         assert isinstance(src_text[0]		,						_lowercase )
         UpperCAmelCase__										=     10
         UpperCAmelCase__										=     self.tokenizer(_lowercase		,						max_length=_lowercase		,						truncation=_lowercase ).input_ids[0]
         self.assertEqual(ids[-2]		,						2 )
         self.assertEqual(ids[-1]		,						_lowercase )
         self.assertEqual(len(_lowercase )		,						_lowercase )






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"] )		,						[25_00_26, 25_00_01] )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     tempfile.mkdtemp()
         UpperCAmelCase__										=     self.tokenizer.fairseq_tokens_to_ids
         self.tokenizer.save_pretrained(_lowercase )
         UpperCAmelCase__										=     MBartTokenizer.from_pretrained(_lowercase )
         self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,						_lowercase )






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer(self.src_text		,						text_target=self.tgt_text		,						padding=_lowercase		,						return_tensors="pt" )
         UpperCAmelCase__										=     shift_tokens_right(batch["labels"]		,						self.tokenizer.pad_token_id )

         # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
         assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
         assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
         assert batch.decoder_input_ids[1][-1] == 2
         assert batch.labels[1][-2:].tolist() == [2, RO_CODE]






  @require_torch
  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer(
             self.src_text		,						text_target=self.tgt_text		,						padding=_lowercase		,						truncation=_lowercase		,						max_length=len(self.expected_src_tokens )		,						return_tensors="pt"		,						)

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

         self.assertIsInstance(_lowercase		,						_lowercase )

         self.assertEqual((2, 14)		,						batch.input_ids.shape )
         self.assertEqual((2, 14)		,						batch.attention_mask.shape )
         UpperCAmelCase__										=     batch.input_ids.tolist()[0]
         self.assertListEqual(self.expected_src_tokens		,						_lowercase )
         self.assertEqual(2		,						batch.decoder_input_ids[0, -1] )  # EOS
         # Test that special tokens are reset
         self.assertEqual(self.tokenizer.prefix_tokens		,						[] )
         self.assertEqual(self.tokenizer.suffix_tokens		,						[self.tokenizer.eos_token_id, EN_CODE] )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer(self.src_text		,						padding=_lowercase		,						truncation=_lowercase		,						max_length=3		,						return_tensors="pt" )
         UpperCAmelCase__										=     self.tokenizer(
             text_target=self.tgt_text		,						padding=_lowercase		,						truncation=_lowercase		,						max_length=10		,						return_tensors="pt" )
         UpperCAmelCase__										=     targets["""input_ids"""]
         UpperCAmelCase__										=     shift_tokens_right(_lowercase		,						self.tokenizer.pad_token_id )

         self.assertEqual(batch.input_ids.shape[1]		,						3 )
         self.assertEqual(batch.decoder_input_ids.shape[1]		,						10 )






  @require_torch
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer._build_translation_inputs(
             "A test"		,						return_tensors="pt"		,						src_lang="en_XX"		,						tgt_lang="ar_AR" )

         self.assertEqual(
             nested_simplify(_lowercase )		,						{
                 # A, test, EOS, en_XX
                 "input_ids": [[62, 30_34, 2, 25_00_04]],
                 "attention_mask": [[1, 1, 1, 1]],
                 # ar_AR
                 "forced_bos_token_id": 25_00_01,
             }		,						)









from __future__ import annotations





def __UpperCAmelCase       (		__A			)						->					list[int]:



       '''simple docstring'''





       UpperCAmelCase__										=     [True] * limit
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     True

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

       UpperCAmelCase__										=     [2]

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

       return primes





def __UpperCAmelCase       (		__A = 1_0_0_0_0_0_0			)						->					int:



       '''simple docstring'''





       UpperCAmelCase__										=     prime_sieve(__A			)
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0

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

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

       return largest


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





