





"""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_       =		2_5_0_0_0_4
lowerCamelCase_       =		2_5_0_0_2_0






@require_sentencepiece
@require_tokenizers
class  _SCREAMING_SNAKE_CASE(       A   ,     unittest.TestCase  ):
       SCREAMING_SNAKE_CASE_       :				Dict     						=  MBartaaTokenizer
       SCREAMING_SNAKE_CASE_       :				Optional[Any]     						=  MBartaaTokenizerFast
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  True
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  True




       def    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             super().setUp()

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




       def    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Tuple		    =  '''<s>'''
             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  0

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




       def    _UpperCamelCase					(						self							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :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(SCREAMING_SNAKE_CASE__							)		,10_54							)




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             self.assertEqual(self.get_tokenizer().vocab_size		,10_54							)




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  MBartaaTokenizer(SCREAMING_SNAKE_CASE__		,src_lang='''en_XX'''		,tgt_lang='''ro_RO'''		,keep_accents=SCREAMING_SNAKE_CASE__							)

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

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

             __SCREAMING_SNAKE_CASE       :Any		    =  tokenizer.tokenize('''I was born in 92000, and this is falsé.'''							)
             self.assertListEqual(
                 SCREAMING_SNAKE_CASE__		,[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''', '''.''']		,)
             __SCREAMING_SNAKE_CASE       :int		    =  tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__							)
             self.assertListEqual(
                 SCREAMING_SNAKE_CASE__		,[
                     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]
                 ]		,)

             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__							)
             self.assertListEqual(
                 SCREAMING_SNAKE_CASE__		,[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    _UpperCamelCase					(						self							)      ->				List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  {'''input_ids''': [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 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], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 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=SCREAMING_SNAKE_CASE__		,model_name='''facebook/mbart-large-50'''		,revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''		,)




       def    _UpperCamelCase					(						self							)      ->				Dict:





             """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

             __SCREAMING_SNAKE_CASE       :int		    =  (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})'''							):
                         __SCREAMING_SNAKE_CASE       :int		    =  self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :Any		    =  self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)

                         __SCREAMING_SNAKE_CASE       :int		    =  tempfile.mkdtemp()

                         __SCREAMING_SNAKE_CASE       :int		    =  tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :int		    =  tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE__							)

                         # 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							)							)
                         __SCREAMING_SNAKE_CASE       :Tuple		    =  tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f							)
                         self.assertSequenceEqual(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)

                         # Checks everything loads correctly in the same way
                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :List[str]		    =  tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE__							)

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

                         shutil.rmtree(SCREAMING_SNAKE_CASE__							)

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

                         __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE__		,legacy_format=SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE__							)

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

                         # Checks everything loads correctly in the same way
                         __SCREAMING_SNAKE_CASE       :Optional[int]		    =  tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :Dict		    =  tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE__							)

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

                         shutil.rmtree(SCREAMING_SNAKE_CASE__							)

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

                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  tokenizer_r.save_pretrained(SCREAMING_SNAKE_CASE__		,legacy_format=SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :Tuple		    =  tokenizer_p.save_pretrained(SCREAMING_SNAKE_CASE__							)

                         # 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
                         __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  tokenizer_r.from_pretrained(SCREAMING_SNAKE_CASE__							)
                         __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  tokenizer_p.from_pretrained(SCREAMING_SNAKE_CASE__							)

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

                         shutil.rmtree(SCREAMING_SNAKE_CASE__							)






@require_torch
@require_sentencepiece
@require_tokenizers
class  _SCREAMING_SNAKE_CASE(       unittest.TestCase  ):
       SCREAMING_SNAKE_CASE_       :				List[Any]     						=  '''facebook/mbart-large-50-one-to-many-mmt'''
       SCREAMING_SNAKE_CASE_       :				List[str]     						=  [
           ''' 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.''',
       ]
       SCREAMING_SNAKE_CASE_       :				List[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.''',
       ]
       SCREAMING_SNAKE_CASE_       :				Union[str, Any]     						=  [EN_CODE, 8274, 127873, 25916, 7, 8622, 2071, 438, 67485, 53, 187895, 23, 51712, 2]




       @classmethod
       def    _UpperCamelCase					(						cls							)      ->				str:





             """simple docstring"""






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




       def    _UpperCamelCase					(						self							)      ->				Dict:





             """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							)
             self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']		,25_00_38							)




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[Any]		    =  self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
             self.assertListEqual(self.expected_src_tokens		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				Tuple:





             """simple docstring"""






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




       def    _UpperCamelCase					(						self							)      ->				int:





             """simple docstring"""






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




       def    _UpperCamelCase					(						self							)      ->				Optional[int]:





             """simple docstring"""






             self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']							)		,[25_00_53, 25_00_01]							)




       def    _UpperCamelCase					(						self							)      ->				List[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :int		    =  tempfile.mkdtemp()
             __SCREAMING_SNAKE_CASE       :Dict		    =  self.tokenizer.fairseq_tokens_to_ids
             self.tokenizer.save_pretrained(SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  MBartaaTokenizer.from_pretrained(SCREAMING_SNAKE_CASE__							)
             self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,SCREAMING_SNAKE_CASE__							)




       @require_torch
       def    _UpperCamelCase					(						self							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :List[str]		    =  self.tokenizer(self.src_text		,text_target=self.tgt_text		,padding=SCREAMING_SNAKE_CASE__		,return_tensors='''pt'''							)
             __SCREAMING_SNAKE_CASE       :Dict		    =  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    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  self.tokenizer(
                 self.src_text		,text_target=self.tgt_text		,padding=SCREAMING_SNAKE_CASE__		,truncation=SCREAMING_SNAKE_CASE__		,max_length=len(self.expected_src_tokens							)		,return_tensors='''pt'''		,)
             __SCREAMING_SNAKE_CASE       :List[str]		    =  shift_tokens_right(batch['''labels''']		,self.tokenizer.pad_token_id							)

             self.assertIsInstance(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)

             self.assertEqual((2, 14)		,batch.input_ids.shape							)
             self.assertEqual((2, 14)		,batch.attention_mask.shape							)
             __SCREAMING_SNAKE_CASE       :Tuple		    =  batch.input_ids.tolist()[0]
             self.assertListEqual(self.expected_src_tokens		,SCREAMING_SNAKE_CASE__							)
             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    _UpperCamelCase					(						self							)      ->				Optional[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  self.tokenizer(self.src_text		,padding=SCREAMING_SNAKE_CASE__		,truncation=SCREAMING_SNAKE_CASE__		,max_length=3		,return_tensors='''pt'''							)
             __SCREAMING_SNAKE_CASE       :Dict		    =  self.tokenizer(
                 text_target=self.tgt_text		,padding=SCREAMING_SNAKE_CASE__		,truncation=SCREAMING_SNAKE_CASE__		,max_length=10		,return_tensors='''pt'''							)
             __SCREAMING_SNAKE_CASE       :str		    =  targets['''input_ids''']
             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  shift_tokens_right(SCREAMING_SNAKE_CASE__		,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							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  self.tokenizer._build_translation_inputs(
                 '''A test'''		,return_tensors='''pt'''		,src_lang='''en_XX'''		,tgt_lang='''ar_AR'''							)

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






"""simple docstring"""
def 					__lowerCamelCase       (							a_					:		int			,       a_					:		int							)      ->				int:
      return int((input_a, input_a).count(0							) == 0							)



def 					__lowerCamelCase       (							)      ->				None:
      assert and_gate(0			,       0							) == 0
      assert and_gate(0			,       1							) == 0
      assert and_gate(1			,       0							) == 0
      assert and_gate(1			,       1							) == 1


if __name__ == "__main__":
  test_and_gate()
  print(and_gate(1, 0))
  print(and_gate(0, 0))
  print(and_gate(0, 1))
  print(and_gate(1, 1))