



"""simple docstring"""






import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


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

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

lowerCAmelCase__        =				250004
lowerCAmelCase__        =				250020






@require_sentencepiece
@require_tokenizers
class        __snake_case       (	_lowercase  ,     unittest.TestCase):
  snake_case__				:   List[str]  			=						MBartaaTokenizer
  snake_case__				:   Tuple  			=						MBartaaTokenizerFast
  snake_case__				:   Any  			=						True
  snake_case__				:   Optional[Any]  			=						True




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






         """simple docstring"""






         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowerCamelCase						:				str    			= MBartaaTokenizer(__lowerCAmelCase						,					src_lang='''en_XX'''						,					tgt_lang='''ro_RO'''						,					keep_accents=__lowerCAmelCase		)
         tokenizer.save_pretrained(self.tmpdirname		)




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[int]		):






         """simple docstring"""






         _lowerCamelCase						:				Optional[Any]    			= '''<s>'''
         _lowerCamelCase						:				Tuple    			= 0

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




  def 						SCREAMING_SNAKE_CASE				( self     :						List[Any]		):






         """simple docstring"""






         _lowerCamelCase						:				Optional[Any]    			= list(self.get_tokenizer().get_vocab().keys()		)

         self.assertEqual(vocab_keys[0]						,					'''<s>'''		)
         self.assertEqual(vocab_keys[1]						,					'''<pad>'''		)
         self.assertEqual(vocab_keys[-1]						,					'''<mask>'''		)
         self.assertEqual(len(__lowerCAmelCase		)						,					1_0_5_4		)




  def 						SCREAMING_SNAKE_CASE				( self     :						int		):






         """simple docstring"""






         self.assertEqual(self.get_tokenizer().vocab_size						,					1_0_5_4		)




  def 						SCREAMING_SNAKE_CASE				( self     :						List[str]		):






         """simple docstring"""






         _lowerCamelCase						:				str    			= MBartaaTokenizer(__lowerCAmelCase						,					src_lang='''en_XX'''						,					tgt_lang='''ro_RO'''						,					keep_accents=__lowerCAmelCase		)

         _lowerCamelCase						:				Optional[int]    			= 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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]						,					)

         _lowerCamelCase						:				Tuple    			= 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''', '''.''']						,					)
         _lowerCamelCase						:				Union[str, Any]    			= tokenizer.convert_tokens_to_ids(__lowerCAmelCase		)
         self.assertListEqual(
             __lowerCAmelCase						,					[
                 value + tokenizer.fairseq_offset
                 for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
             ]						,					)

         _lowerCamelCase						:				Optional[Any]    			= 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>''', '''.''']						,					)




  @slow
  def 						SCREAMING_SNAKE_CASE				( self     :						Tuple		):






         """simple docstring"""






         _lowerCamelCase						:				Any    			= {'''input_ids''': [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 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], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 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]], '''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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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/mbart-large-50'''						,					revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''						,					)




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """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

         _lowerCamelCase						:				Dict    			= (self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart50''', {})
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
                       _lowerCamelCase						:				Tuple    			= self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase						,					**__lowerCAmelCase		)
                       _lowerCamelCase						:				Dict    			= self.tokenizer_class.from_pretrained(__lowerCAmelCase						,					**__lowerCAmelCase		)

                       _lowerCamelCase						:				int    			= tempfile.mkdtemp()

                       _lowerCamelCase						:				Union[str, Any]    			= tokenizer_r.save_pretrained(__lowerCAmelCase		)
                       _lowerCamelCase						:				Optional[int]    			= 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		)		)
                       _lowerCamelCase						:				List[str]    			= 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
                       _lowerCamelCase						:				int    			= tokenizer_r.from_pretrained(__lowerCAmelCase		)
                       _lowerCamelCase						:				Tuple    			= 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
                       _lowerCamelCase						:				int    			= tempfile.mkdtemp()

                       _lowerCamelCase						:				List[str]    			= tokenizer_r.save_pretrained(__lowerCAmelCase						,					legacy_format=__lowerCAmelCase		)
                       _lowerCamelCase						:				Tuple    			= tokenizer_p.save_pretrained(__lowerCAmelCase		)

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

                       # Checks everything loads correctly in the same way
                       _lowerCamelCase						:				List[Any]    			= tokenizer_r.from_pretrained(__lowerCAmelCase		)
                       _lowerCamelCase						:				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
                       _lowerCamelCase						:				Union[str, Any]    			= tempfile.mkdtemp()

                       _lowerCamelCase						:				Optional[Any]    			= tokenizer_r.save_pretrained(__lowerCAmelCase						,					legacy_format=__lowerCAmelCase		)
                       _lowerCamelCase						:				Optional[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
                       _lowerCamelCase						:				Dict    			= tokenizer_r.from_pretrained(__lowerCAmelCase		)
                       _lowerCamelCase						:				Dict    			= 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        __snake_case       (	unittest.TestCase):
  snake_case__				:   int  			=						"facebook/mbart-large-50-one-to-many-mmt"
  snake_case__				:   Optional[int]  			=						[
      " 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.",
  ]
  snake_case__				:   Optional[Any]  			=						[
      "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.",
  ]
  snake_case__				:   int  			=						[EN_CODE, 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]




  @classmethod
  def 						SCREAMING_SNAKE_CASE				( cls     :						Dict		):






         """simple docstring"""






         _lowerCamelCase						:				MBartaaTokenizer    			= MBartaaTokenizer.from_pretrained(
             cls.checkpoint_name						,					src_lang='''en_XX'''						,					tgt_lang='''ro_RO'''		)
         _lowerCamelCase						:				Any    			= 1
         return cls




  def 						SCREAMING_SNAKE_CASE				( self     :						int		):






         """simple docstring"""






         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']						,					2_5_0_0_0_1		)
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']						,					2_5_0_0_0_4		)
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']						,					2_5_0_0_2_0		)
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']						,					2_5_0_0_3_8		)




  def 						SCREAMING_SNAKE_CASE				( self     :						List[str]		):






         """simple docstring"""






         _lowerCamelCase						:				Optional[int]    			= self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
         self.assertListEqual(self.expected_src_tokens						,					__lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE				( self     :						int		):






         """simple docstring"""






         self.assertIn(__lowerCAmelCase						,					self.tokenizer.all_special_ids		)
         _lowerCamelCase						:				Optional[Any]    			= [RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
         _lowerCamelCase						:				Optional[Any]    			= self.tokenizer.decode(__lowerCAmelCase						,					skip_special_tokens=__lowerCAmelCase		)
         _lowerCamelCase						:				Any    			= self.tokenizer.decode(generated_ids[1:]						,					skip_special_tokens=__lowerCAmelCase		)
         self.assertEqual(__lowerCAmelCase						,					__lowerCAmelCase		)
         self.assertNotIn(self.tokenizer.eos_token						,					__lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[int]		):






         """simple docstring"""






         _lowerCamelCase						:				Optional[Any]    			= ['''this is gunna be a long sentence ''' * 2_0]
         assert isinstance(src_text[0]						,					__lowerCAmelCase		)
         _lowerCamelCase						:				Union[str, Any]    			= 1_0
         _lowerCamelCase						:				Any    			= self.tokenizer(__lowerCAmelCase						,					max_length=__lowerCAmelCase						,					truncation=__lowerCAmelCase		).input_ids[0]
         self.assertEqual(ids[0]						,					__lowerCAmelCase		)
         self.assertEqual(ids[-1]						,					2		)
         self.assertEqual(len(__lowerCAmelCase		)						,					__lowerCAmelCase		)




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """simple docstring"""






         self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']		)						,					[2_5_0_0_5_3, 2_5_0_0_0_1]		)




  def 						SCREAMING_SNAKE_CASE				( self     :						Dict		):






         """simple docstring"""






         _lowerCamelCase						:				str    			= tempfile.mkdtemp()
         _lowerCamelCase						:				Tuple    			= self.tokenizer.fairseq_tokens_to_ids
         self.tokenizer.save_pretrained(__lowerCAmelCase		)
         _lowerCamelCase						:				Any    			= MBartaaTokenizer.from_pretrained(__lowerCAmelCase		)
         self.assertDictEqual(new_tok.fairseq_tokens_to_ids						,					__lowerCAmelCase		)




  @require_torch
  def 						SCREAMING_SNAKE_CASE				( self     :						Dict		):






         """simple docstring"""






         _lowerCamelCase						:				Tuple    			= self.tokenizer(self.src_text						,					text_target=self.tgt_text						,					padding=__lowerCAmelCase						,					return_tensors='''pt'''		)
         _lowerCamelCase						:				Optional[Any]    			= shift_tokens_right(batch['''labels''']						,					self.tokenizer.pad_token_id		)

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




  @require_torch
  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """simple docstring"""






         _lowerCamelCase						:				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'''						,					)
         _lowerCamelCase						:				Any    			= shift_tokens_right(batch['''labels''']						,					self.tokenizer.pad_token_id		)

         self.assertIsInstance(__lowerCAmelCase						,					__lowerCAmelCase		)

         self.assertEqual((2, 1_4)						,					batch.input_ids.shape		)
         self.assertEqual((2, 1_4)						,					batch.attention_mask.shape		)
         _lowerCamelCase						:				str    			= batch.input_ids.tolist()[0]
         self.assertListEqual(self.expected_src_tokens						,					__lowerCAmelCase		)
         self.assertEqual(2						,					batch.decoder_input_ids[0, 0]		)  # decoder_start_token_id
         # Test that special tokens are reset
         self.assertEqual(self.tokenizer.prefix_tokens						,					[EN_CODE]		)
         self.assertEqual(self.tokenizer.suffix_tokens						,					[self.tokenizer.eos_token_id]		)




  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """simple docstring"""






         _lowerCamelCase						:				List[Any]    			= self.tokenizer(self.src_text						,					padding=__lowerCAmelCase						,					truncation=__lowerCAmelCase						,					max_length=3						,					return_tensors='''pt'''		)
         _lowerCamelCase						:				Optional[Any]    			= self.tokenizer(
             text_target=self.tgt_text						,					padding=__lowerCAmelCase						,					truncation=__lowerCAmelCase						,					max_length=1_0						,					return_tensors='''pt'''		)
         _lowerCamelCase						:				List[Any]    			= targets['''input_ids''']
         _lowerCamelCase						:				int    			= 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]						,					1_0		)




  @require_torch
  def 						SCREAMING_SNAKE_CASE				( self     :						Optional[Any]		):






         """simple docstring"""






         _lowerCamelCase						:				Union[str, Any]    			= self.tokenizer._build_translation_inputs(
             '''A test'''						,					return_tensors='''pt'''						,					src_lang='''en_XX'''						,					tgt_lang='''ar_AR'''		)

         self.assertEqual(
             nested_simplify(__lowerCAmelCase		)						,					{
                 # en_XX, A, test, EOS
                 '''input_ids''': [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
                 '''attention_mask''': [[1, 1, 1, 1]],
                 # ar_AR
                 '''forced_bos_token_id''': 2_5_0_0_0_1,
             }						,					)








from functools import lru_cache





@lru_cache
def __UpperCamelCase			(       _A  ):
						if num < 0:
												raise ValueError('''Number should not be negative.'''  )

						return 1 if num in (0, 1) else num * factorial(num - 1  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




