"""simple docstring"""


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():
    __UpperCamelCase									=			get_tests_dir('''fixtures/test_sentencepiece.model''')


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

__UpperCamelCase									=			12_8022
__UpperCamelCase									=			12_8028




@require_sentencepiece
class  UpperCamelCase					(				lowerCAmelCase__    ,		unittest.TestCase   ):
       SCREAMING_SNAKE_CASE_			=      MaMaaaTokenizer
       SCREAMING_SNAKE_CASE_			=      False
       SCREAMING_SNAKE_CASE_			=      False
       SCREAMING_SNAKE_CASE_			=      True







       def 		a_						( self)      ->      Tuple:
            super().setUp()

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

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







       def 		a_						( self,							**lowerCAmelCase__)      ->      Union[str, Any]:
            return MaMaaaTokenizer.from_pretrained(self.tmpdirname,							**lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__)      ->      Optional[Any]:
            return (
                "This is a test",
                "This is a test",
            )







       def 		a_						( self)      ->      Optional[int]:
            snake_case_					       =					'</s>'
            snake_case_					       =					0

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







       def 		a_						( self)      ->      Union[str, Any]:
            snake_case_					       =					self.get_tokenizer()
            snake_case_					       =					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(lowerCAmelCase__),							tokenizer.vocab_size + len(tokenizer.get_added_vocab()))







       @unittest.skip('Skip this test while all models are still to be uploaded.')
       def 		a_						( self)      ->      Tuple:
            pass







       def 		a_						( self)      ->      Tuple:
            snake_case_					       =					self.get_tokenizer()

            snake_case_					       =					tokenizer.tokenize('This is a test')
            self.assertListEqual(lowerCAmelCase__,							['▁This', '▁is', '▁a', '▁t', 'est'])

            self.assertListEqual(
                tokenizer.convert_tokens_to_ids(lowerCAmelCase__),							[2, 3, 4, 5, 6],							)

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

            snake_case_					       =					tokenizer.convert_tokens_to_string(lowerCAmelCase__)
            self.assertEqual(lowerCAmelCase__,							'This is a test')







       @slow
       def 		a_						( self)      ->      Tuple:
            # fmt: off
            snake_case_					       =					{'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=lowerCAmelCase__,							model_name='facebook/m2m100_418M',							revision='c168bae485c864188cf9aa0e4108b0b6934dc91e',							)




@require_torch
@require_sentencepiece
@require_tokenizers
class  UpperCamelCase					(				unittest.TestCase   ):
       SCREAMING_SNAKE_CASE_			=      "facebook/m2m100_418M"
       SCREAMING_SNAKE_CASE_			=      [
           "In my opinion, there are two levels of response from the French government.",
           "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
       ]
       SCREAMING_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
       SCREAMING_SNAKE_CASE_			=      [EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]







       @classmethod
       def 		a_						( cls)      ->      Any:
            snake_case_					       =					MaMaaaTokenizer.from_pretrained(
                cls.checkpoint_name,							src_lang='en',							tgt_lang='fr')
            snake_case_					       =					1
            return cls







       def 		a_						( self)      ->      Tuple:
            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 		a_						( self)      ->      List[str]:
            snake_case_					       =					self.tokenizer.get_vocab()
            self.assertEqual(len(lowerCAmelCase__),							self.tokenizer.vocab_size)
            self.assertEqual(vocab['<unk>'],							3)
            self.assertIn(self.tokenizer.get_lang_token('en'),							lowerCAmelCase__)







       def 		a_						( self)      ->      Dict:
            snake_case_					       =					'en'
            snake_case_					       =					self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
            self.assertListEqual(self.expected_src_tokens,							lowerCAmelCase__)







       def 		a_						( self)      ->      Any:
            self.assertIn(lowerCAmelCase__,							self.tokenizer.all_special_ids)
            # fmt: off
            snake_case_					       =					[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
            snake_case_					       =					self.tokenizer.decode(lowerCAmelCase__,							skip_special_tokens=lowerCAmelCase__)
            snake_case_					       =					self.tokenizer.decode(generated_ids[1:],							skip_special_tokens=lowerCAmelCase__)
            self.assertEqual(lowerCAmelCase__,							lowerCAmelCase__)
            self.assertNotIn(self.tokenizer.eos_token,							lowerCAmelCase__)







       def 		a_						( self)      ->      Optional[int]:
            snake_case_					       =					tempfile.mkdtemp()
            snake_case_					       =					self.tokenizer.lang_token_to_id
            self.tokenizer.save_pretrained(lowerCAmelCase__)
            snake_case_					       =					MaMaaaTokenizer.from_pretrained(lowerCAmelCase__)
            self.assertDictEqual(new_tok.lang_token_to_id,							lowerCAmelCase__)







       @require_torch
       def 		a_						( self)      ->      Any:
            snake_case_					       =					'en'
            snake_case_					       =					'fr'

            snake_case_					       =					self.tokenizer(self.src_text,							text_target=self.tgt_text,							padding=lowerCAmelCase__,							return_tensors='pt')

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

            for k in batch:
                 snake_case_					       =					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 		a_						( self)      ->      Any:
            snake_case_					       =					'mr'
            self.assertListEqual(self.tokenizer.prefix_tokens,							[self.tokenizer.get_lang_id('mr')])
            self.assertListEqual(self.tokenizer.suffix_tokens,							[self.tokenizer.eos_token_id])

            snake_case_					       =					'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 		a_						( self)      ->      Dict:
            snake_case_					       =					'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)])

            snake_case_					       =					'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 		a_						( self)      ->      Any:
            snake_case_					       =					self.tokenizer._build_translation_inputs('A test',							return_tensors='pt',							src_lang='en',							tgt_lang='ar')

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




'''simple docstring'''






lowerCAmelCase__											=	'''Input must be a string of 8 numbers plus letter'''
lowerCAmelCase__											=	'''TRWAGMYFPDXBNJZSQVHLCKE'''


def 		_A     (    A__      ):






 """simple docstring"""



 if not isinstance(A__     ,				A__      ):
  __lowercase							  = F"Expected string as input, found {type(A__      ).__name__}"
  raise TypeError(A__      )

 __lowercase							  = spanish_id.replace('''-'''     ,				''''''      ).upper()
 if len(A__      ) != 9:
  raise ValueError(A__      )

 try:
  __lowercase							  = int(spanish_id_clean[0:8]      )
  __lowercase							  = spanish_id_clean[8]
 except ValueError as ex:
  raise ValueError(A__      ) from ex

 if letter.isdigit():
  raise ValueError(A__      )

 return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
 import doctest

 doctest.testmod()

