import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowercase_  : Dict								=					get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class 		_lowerCamelCase		( UpperCamelCase_     ,  unittest.TestCase     ):
    __a						=   XGLMTokenizer
    __a						=   XGLMTokenizerFast
    __a						=   True
    __a						=   True
    def     UpperCamelCase_					(	self )							->       Dict:
     super().setUp()

     # We have a SentencePiece fixture for testing
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   XGLMTokenizer(lowerCAmelCase			,			keep_accents=lowerCAmelCase )
     tokenizer.save_pretrained(self.tmpdirname )
    def     UpperCamelCase_					(	self )							->       Dict:
     SCREAMING_SNAKE_CASE__: Tuple=   '''<pad>'''
     SCREAMING_SNAKE_CASE__: Union[str, Any]=   1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase )			,			lowerCAmelCase )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase )			,			lowerCAmelCase )
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     SCREAMING_SNAKE_CASE__: List[Any]=   list(self.get_tokenizer().get_vocab().keys() )

     self.assertEqual(vocab_keys[0]			,			'''<s>''' )
     self.assertEqual(vocab_keys[1]			,			'''<pad>''' )
     self.assertEqual(len(lowerCAmelCase )			,			1008 )
    def     UpperCamelCase_					(	self )							->       Dict:
     self.assertEqual(self.get_tokenizer().vocab_size			,			1008 )
    def     UpperCamelCase_					(	self )							->       List[str]:
     SCREAMING_SNAKE_CASE__: Optional[int]=   XGLMTokenizer(lowerCAmelCase			,			keep_accents=lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: Dict=   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]]			,			)

     SCREAMING_SNAKE_CASE__: int=   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''',
             '''.''',
         ]			,			)
     SCREAMING_SNAKE_CASE__: str=   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]
         ]			,			)

     SCREAMING_SNAKE_CASE__: Union[str, 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>''',
             '''.''',
         ]			,			)
    @cached_property
    def     UpperCamelCase_					(	self )							->       Union[str, Any]:
     return XGLMTokenizer.from_pretrained('''facebook/xglm-564M''' )
    def     UpperCamelCase_					(	self )							->       List[Any]:
     with tempfile.NamedTemporaryFile() as f:
      shutil.copyfile(lowerCAmelCase			,			f.name )
      SCREAMING_SNAKE_CASE__: str=   XGLMTokenizer(f.name			,			keep_accents=lowerCAmelCase )
      SCREAMING_SNAKE_CASE__: Dict=   pickle.dumps(lowerCAmelCase )
     pickle.loads(lowerCAmelCase )
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     if not self.test_rust_tokenizer:
      return

     SCREAMING_SNAKE_CASE__: List[Any]=   self.get_tokenizer()
     SCREAMING_SNAKE_CASE__: List[Any]=   self.get_rust_tokenizer()

     SCREAMING_SNAKE_CASE__: List[str]=   '''I was born in 92000, and this is falsé.'''

     SCREAMING_SNAKE_CASE__: Tuple=   tokenizer.tokenize(lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: Tuple=   rust_tokenizer.tokenize(lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: List[Any]=   tokenizer.encode(lowerCAmelCase			,			add_special_tokens=lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: int=   rust_tokenizer.encode(lowerCAmelCase			,			add_special_tokens=lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )

     SCREAMING_SNAKE_CASE__: str=   self.get_rust_tokenizer()
     SCREAMING_SNAKE_CASE__: int=   tokenizer.encode(lowerCAmelCase )
     SCREAMING_SNAKE_CASE__: List[str]=   rust_tokenizer.encode(lowerCAmelCase )
     self.assertListEqual(lowerCAmelCase			,			lowerCAmelCase )
    @slow
    def     UpperCamelCase_					(	self )							->       Optional[Any]:
     SCREAMING_SNAKE_CASE__: Tuple=   '''Hello World!'''
     SCREAMING_SNAKE_CASE__: Optional[int]=   [2, 31227, 4447, 35]

     self.assertListEqual(lowerCAmelCase			,			self.big_tokenizer.encode(lowerCAmelCase ) )
    @slow
    def     UpperCamelCase_					(	self )							->       int:
     SCREAMING_SNAKE_CASE__: List[Any]=   (
         '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
         ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
     )
     # fmt: off
     SCREAMING_SNAKE_CASE__: Dict=   [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
     # fmt: on

     self.assertListEqual(lowerCAmelCase			,			self.big_tokenizer.encode(lowerCAmelCase ) )



    @slow
    def     UpperCamelCase_					(	self )							->       str:
     # fmt: off
     SCREAMING_SNAKE_CASE__: Any=   {
         '''input_ids''': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
         '''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]]
     }  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=lowerCAmelCase			,			model_name='''facebook/xglm-564M'''			,			padding=lowerCAmelCase			,			)









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():
       __magic_name__   :  Any        =							get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__magic_name__   :  Optional[Any]        =							12_8022
__magic_name__   :  Dict        =							12_8028





@require_sentencepiece
class 					A__     (     __snake_case   ,    unittest.TestCase ):

     '''simple docstring'''






     snake_case__					=					MaMaaaTokenizer
     snake_case__					=					False
     snake_case__					=					False
     snake_case__					=					True







     def   _SCREAMING_SNAKE_CASE     ( self      :    List[str] ):






           """simple docstring"""




           super().setUp()

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

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







     def   _SCREAMING_SNAKE_CASE     ( self      :    str   ,						**_SCREAMING_SNAKE_CASE      :    List[str] ):






           """simple docstring"""




           return MaMaaaTokenizer.from_pretrained(self.tmpdirname   ,						**_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[int]   ,						_SCREAMING_SNAKE_CASE      :    Optional[Any] ):






           """simple docstring"""




           return (
               "This is a test",
               "This is a test",
           )







     def   _SCREAMING_SNAKE_CASE     ( self      :    List[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  '</s>'
           UpperCamelCase					       =  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   _SCREAMING_SNAKE_CASE     ( self      :    Optional[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  self.get_tokenizer()
           UpperCamelCase					       =  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(_SCREAMING_SNAKE_CASE )   ,						tokenizer.vocab_size + len(tokenizer.get_added_vocab() ) )







     @unittest.skip('Skip this test while all models are still to be uploaded.' )
     def   _SCREAMING_SNAKE_CASE     ( self      :    str ):






           """simple docstring"""




           pass







     def   _SCREAMING_SNAKE_CASE     ( self      :    Any ):






           """simple docstring"""




           UpperCamelCase					       =  self.get_tokenizer()

           UpperCamelCase					       =  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 )   ,						[2, 3, 4, 5, 6]   ,						)

           UpperCamelCase					       =  tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6] )
           self.assertListEqual(_SCREAMING_SNAKE_CASE   ,						['▁This', '▁is', '▁a', '▁t', 'est'] )

           UpperCamelCase					       =  tokenizer.convert_tokens_to_string(_SCREAMING_SNAKE_CASE )
           self.assertEqual(_SCREAMING_SNAKE_CASE   ,						'This is a test' )







     @slow
     def   _SCREAMING_SNAKE_CASE     ( self      :    str ):






           """simple docstring"""




           UpperCamelCase					       =  {'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=_SCREAMING_SNAKE_CASE   ,						model_name='facebook/m2m100_418M'   ,						revision='c168bae485c864188cf9aa0e4108b0b6934dc91e'   ,						)





@require_torch
@require_sentencepiece
@require_tokenizers
class 					A__     (     unittest.TestCase ):

     '''simple docstring'''






     snake_case__					=					"""facebook/m2m100_418M"""
     snake_case__					=					[
         """In my opinion, there are two levels of response from the French government.""",
         """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
     ]
     snake_case__					=					[
         """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
     snake_case__					=					[EN_CODE, 5_93, 19_49, 11_57_81, 4, 7_15_86, 42_34, 6_06_33, 12_62_33, 4_32, 12_38_08, 1_55_92, 11_97, 11_71_32, 12_06_18, 5, 2]







     @classmethod
     def   _SCREAMING_SNAKE_CASE     ( cls      :    Any ):






           """simple docstring"""




           UpperCamelCase					       =  MaMaaaTokenizer.from_pretrained(
               cls.checkpoint_name   ,						src_lang='en'   ,						tgt_lang='fr' )
           UpperCamelCase					       =  1
           return cls







     def   _SCREAMING_SNAKE_CASE     ( self      :    str ):






           """simple docstring"""




           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   _SCREAMING_SNAKE_CASE     ( self      :    Tuple ):






           """simple docstring"""




           UpperCamelCase					       =  self.tokenizer.get_vocab()
           self.assertEqual(len(_SCREAMING_SNAKE_CASE )   ,						self.tokenizer.vocab_size )
           self.assertEqual(vocab['<unk>']   ,						3 )
           self.assertIn(self.tokenizer.get_lang_token('en' )   ,						_SCREAMING_SNAKE_CASE )







     def   _SCREAMING_SNAKE_CASE     ( self      :    Optional[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  'en'
           UpperCamelCase					       =  self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
           self.assertListEqual(self.expected_src_tokens   ,						_SCREAMING_SNAKE_CASE )







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






           """simple docstring"""




           self.assertIn(_SCREAMING_SNAKE_CASE   ,						self.tokenizer.all_special_ids )
           # fmt: off
           UpperCamelCase					       =  [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
           UpperCamelCase					       =  self.tokenizer.decode(_SCREAMING_SNAKE_CASE   ,						skip_special_tokens=_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  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   _SCREAMING_SNAKE_CASE     ( self      :    Optional[Any] ):






           """simple docstring"""




           UpperCamelCase					       =  tempfile.mkdtemp()
           UpperCamelCase					       =  self.tokenizer.lang_token_to_id
           self.tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE )
           UpperCamelCase					       =  MaMaaaTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE )
           self.assertDictEqual(new_tok.lang_token_to_id   ,						_SCREAMING_SNAKE_CASE )







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






           """simple docstring"""




           UpperCamelCase					       =  'en'
           UpperCamelCase					       =  'fr'

           UpperCamelCase					       =  self.tokenizer(self.src_text   ,						text_target=self.tgt_text   ,						padding=_SCREAMING_SNAKE_CASE   ,						return_tensors='pt' )

           UpperCamelCase					       =  shift_tokens_right(
               batch['labels']   ,						self.tokenizer.pad_token_id   ,						self.tokenizer.eos_token_id )

           for k in batch:
                 UpperCamelCase					       =  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   _SCREAMING_SNAKE_CASE     ( self      :    Any ):






           """simple docstring"""




           UpperCamelCase					       =  'mr'
           self.assertListEqual(self.tokenizer.prefix_tokens   ,						[self.tokenizer.get_lang_id('mr' )] )
           self.assertListEqual(self.tokenizer.suffix_tokens   ,						[self.tokenizer.eos_token_id] )

           UpperCamelCase					       =  '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   _SCREAMING_SNAKE_CASE     ( self      :    Tuple ):






           """simple docstring"""




           UpperCamelCase					       =  '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 )] )

           UpperCamelCase					       =  '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   _SCREAMING_SNAKE_CASE     ( self      :    Any ):






           """simple docstring"""




           UpperCamelCase					       =  self.tokenizer._build_translation_inputs('A test'   ,						return_tensors='pt'   ,						src_lang='en'   ,						tgt_lang='ar' )

           self.assertEqual(
               nested_simplify(_SCREAMING_SNAKE_CASE )   ,						{
                   # 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,
               }   ,						)



