




'''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_			      =		250004
A_			      =		250020






@require_sentencepiece
@require_tokenizers
class        lowercase_      (						lowerCAmelCase_						,       unittest.TestCase							):
     A_											=			MBartTokenizer
     A_											=			MBartTokenizerFast
     A_											=			True
     A_											=			True





     def 			_lowerCAmelCase      (     self     :					str			):
           super().setUp()

           # We have a SentencePiece fixture for testing
           snake_case__       :   List[str]	      =    MBartTokenizer(__lowerCamelCase     ,							keep_accents=__lowerCamelCase			)
           tokenizer.save_pretrained(self.tmpdirname			)





     def 			_lowerCAmelCase      (     self     :					int			):
           snake_case__       :   str	      =    MBartTokenizer(__lowerCamelCase     ,							keep_accents=__lowerCamelCase			)

           snake_case__       :   Any	      =    tokenizer.tokenize('This is a test'			)
           self.assertListEqual(__lowerCamelCase     ,							['▁This', '▁is', '▁a', '▁t', 'est']			)

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

           snake_case__       :   Optional[Any]	      =    tokenizer.tokenize('I was born in 92000, and this is falsé.'			)
           self.assertListEqual(
               __lowerCamelCase     ,							[
                   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',
                   '.',
               ]     ,							)
           snake_case__       :   Union[str, Any]	      =    tokenizer.convert_tokens_to_ids(__lowerCamelCase			)
           self.assertListEqual(
               __lowerCamelCase     ,							[
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                   #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
               ]     ,							)

           snake_case__       :   int	      =    tokenizer.convert_ids_to_tokens(__lowerCamelCase			)
           self.assertListEqual(
               __lowerCamelCase     ,							[
                   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 			_lowerCAmelCase      (     self     :					int			):
           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

           snake_case__       :   Tuple	      =    (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})"			):
                       snake_case__       :   int	      =    self.rust_tokenizer_class.from_pretrained(__lowerCamelCase     ,							**__lowerCamelCase			)
                       snake_case__       :   str	      =    self.tokenizer_class.from_pretrained(__lowerCamelCase     ,							**__lowerCamelCase			)

                       snake_case__       :   Any	      =    tempfile.mkdtemp()

                       snake_case__       :   Dict	      =    tokenizer_r.save_pretrained(__lowerCamelCase			)
                       snake_case__       :   List[Any]	      =    tokenizer_p.save_pretrained(__lowerCamelCase			)

                       # 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			)			)
                       snake_case__       :   Dict	      =    tuple(f for f in tokenizer_r_files if 'tokenizer.json' not in f			)
                       self.assertSequenceEqual(__lowerCamelCase     ,							__lowerCamelCase			)

                       # Checks everything loads correctly in the same way
                       snake_case__       :   Tuple	      =    tokenizer_r.from_pretrained(__lowerCamelCase			)
                       snake_case__       :   Union[str, Any]	      =    tokenizer_p.from_pretrained(__lowerCamelCase			)

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

                       shutil.rmtree(__lowerCamelCase			)

                       # Save tokenizer rust, legacy_format=True
                       snake_case__       :   Any	      =    tempfile.mkdtemp()

                       snake_case__       :   Optional[Any]	      =    tokenizer_r.save_pretrained(__lowerCamelCase     ,							legacy_format=__lowerCamelCase			)
                       snake_case__       :   Optional[int]	      =    tokenizer_p.save_pretrained(__lowerCamelCase			)

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

                       # Checks everything loads correctly in the same way
                       snake_case__       :   int	      =    tokenizer_r.from_pretrained(__lowerCamelCase			)
                       snake_case__       :   List[Any]	      =    tokenizer_p.from_pretrained(__lowerCamelCase			)

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

                       shutil.rmtree(__lowerCamelCase			)

                       # Save tokenizer rust, legacy_format=False
                       snake_case__       :   List[Any]	      =    tempfile.mkdtemp()

                       snake_case__       :   Any	      =    tokenizer_r.save_pretrained(__lowerCamelCase     ,							legacy_format=__lowerCamelCase			)
                       snake_case__       :   Any	      =    tokenizer_p.save_pretrained(__lowerCamelCase			)

                       # 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
                       snake_case__       :   Optional[int]	      =    tokenizer_r.from_pretrained(__lowerCamelCase			)
                       snake_case__       :   List[str]	      =    tokenizer_p.from_pretrained(__lowerCamelCase			)

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

                       shutil.rmtree(__lowerCamelCase			)






@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_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2, EN_CODE]





     @classmethod
     def 			_lowerCAmelCase      (     cls     :					int			):
           snake_case__       :   MBartTokenizer	      =    MBartTokenizer.from_pretrained(
               cls.checkpoint_name     ,							src_lang='en_XX'     ,							tgt_lang='ro_RO'			)
           snake_case__       :   Optional[int]	      =    1
           return cls





     def 			_lowerCAmelCase      (     self     :					List[str]			):
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ar_AR']     ,							250001			)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['en_EN']     ,							250004			)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['ro_RO']     ,							250020			)





     def 			_lowerCAmelCase      (     self     :					Dict			):
           snake_case__       :   str	      =    self.tokenizer.batch_encode_plus(self.src_text			).input_ids[0]
           self.assertListEqual(self.expected_src_tokens     ,							__lowerCamelCase			)





     def 			_lowerCAmelCase      (     self     :					List[Any]			):
           self.assertIn(__lowerCamelCase     ,							self.tokenizer.all_special_ids			)
           snake_case__       :   Union[str, Any]	      =    [RO_CODE, 884, 9019, 96, 9, 916, 86792, 36, 18743, 15596, 5, 2]
           snake_case__       :   Union[str, Any]	      =    self.tokenizer.decode(__lowerCamelCase     ,							skip_special_tokens=__lowerCamelCase			)
           snake_case__       :   Optional[Any]	      =    self.tokenizer.decode(generated_ids[1:]     ,							skip_special_tokens=__lowerCamelCase			)
           self.assertEqual(__lowerCamelCase     ,							__lowerCamelCase			)
           self.assertNotIn(self.tokenizer.eos_token     ,							__lowerCamelCase			)





     def 			_lowerCAmelCase      (     self     :					Optional[Any]			):
           snake_case__       :   Tuple	      =    ['this is gunna be a long sentence ' * 20]
           assert isinstance(src_text[0]     ,							__lowerCamelCase			)
           snake_case__       :   int	      =    10
           snake_case__       :   List[str]	      =    self.tokenizer(__lowerCamelCase     ,							max_length=__lowerCamelCase     ,							truncation=__lowerCamelCase			).input_ids[0]
           self.assertEqual(ids[-2]     ,							2			)
           self.assertEqual(ids[-1]     ,							__lowerCamelCase			)
           self.assertEqual(len(__lowerCamelCase			)     ,							__lowerCamelCase			)





     def 			_lowerCAmelCase      (     self     :					Optional[Any]			):
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', 'ar_AR']			)     ,							[250026, 250001]			)





     def 			_lowerCAmelCase      (     self     :					List[Any]			):
           snake_case__       :   Any	      =    tempfile.mkdtemp()
           snake_case__       :   List[Any]	      =    self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__lowerCamelCase			)
           snake_case__       :   Union[str, Any]	      =    MBartTokenizer.from_pretrained(__lowerCamelCase			)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids     ,							__lowerCamelCase			)





     @require_torch
     def 			_lowerCAmelCase      (     self     :					int			):
           snake_case__       :   Optional[Any]	      =    self.tokenizer(self.src_text     ,							text_target=self.tgt_text     ,							padding=__lowerCamelCase     ,							return_tensors='pt'			)
           snake_case__       :   Any	      =    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 			_lowerCAmelCase      (     self     :					int			):
           snake_case__       :   Tuple	      =    self.tokenizer(
               self.src_text     ,							text_target=self.tgt_text     ,							padding=__lowerCamelCase     ,							truncation=__lowerCamelCase     ,							max_length=len(self.expected_src_tokens			)     ,							return_tensors='pt'     ,							)

           snake_case__       :   Tuple	      =    shift_tokens_right(batch['labels']     ,							self.tokenizer.pad_token_id			)

           self.assertIsInstance(__lowerCamelCase     ,							__lowerCamelCase			)

           self.assertEqual((2, 14)     ,							batch.input_ids.shape			)
           self.assertEqual((2, 14)     ,							batch.attention_mask.shape			)
           snake_case__       :   int	      =    batch.input_ids.tolist()[0]
           self.assertListEqual(self.expected_src_tokens     ,							__lowerCamelCase			)
           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 			_lowerCAmelCase      (     self     :					Optional[int]			):
           snake_case__       :   Tuple	      =    self.tokenizer(self.src_text     ,							padding=__lowerCamelCase     ,							truncation=__lowerCamelCase     ,							max_length=3     ,							return_tensors='pt'			)
           snake_case__       :   List[Any]	      =    self.tokenizer(
               text_target=self.tgt_text     ,							padding=__lowerCamelCase     ,							truncation=__lowerCamelCase     ,							max_length=10     ,							return_tensors='pt'			)
           snake_case__       :   Optional[Any]	      =    targets['input_ids']
           snake_case__       :   Tuple	      =    shift_tokens_right(__lowerCamelCase     ,							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 			_lowerCAmelCase      (     self     :					Tuple			):
           snake_case__       :   List[str]	      =    self.tokenizer._build_translation_inputs(
               'A test'     ,							return_tensors='pt'     ,							src_lang='en_XX'     ,							tgt_lang='ar_AR'			)

           self.assertEqual(
               nested_simplify(__lowerCamelCase			)     ,							{
                   # A, test, EOS, en_XX
                   'input_ids': [[62, 3034, 2, 250004]],
                   'attention_mask': [[1, 1, 1, 1]],
                   # ar_AR
                   'forced_bos_token_id': 250001,
               }     ,							)






'''simple docstring'''






import requests
from bsa import BeautifulSoup






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   str:
      snake_case__       :   List[Any]	      =    BeautifulSoup(requests.get(__SCREAMING_SNAKE_CASE				,      params=__SCREAMING_SNAKE_CASE		).content				,      'html.parser'		)
      snake_case__       :   Optional[int]	      =    soup.find('div'				,      attrs={'class': 'gs_ri'}		)
      snake_case__       :   Dict	      =    div.find('div'				,      attrs={'class': 'gs_fl'}		).find_all('a'		)
      return anchors[2].get_text()


if __name__ == "__main__":
      A_			      =		{
          "title": (
              "Precisely geometry controlled microsupercapacitors for ultrahigh areal "
              "capacitance, volumetric capacitance, and energy density"
          ),
          "journal": "Chem. Mater.",
          "volume": 30,
          "pages": "3979-3990",
          "year": 2018,
          "hl": "en",
      }
      print(get_citation("https://scholar.google.com/scholar_lookup", params=params))
