

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():
     lowercase_       		=  get_tests_dir("fixtures/test_sentencepiece.model")


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

lowercase_       		=  128022
lowercase_       		=  128028


@require_sentencepiece
class  A						(							_UpperCAmelCase    ,							unittest.TestCase ):







    """simple docstring"""





    lowerCamelCase			=							MaMaaaTokenizer
    lowerCamelCase			=							False
    lowerCamelCase			=							False
    lowerCamelCase			=							True


    def 						snake_case__     (      self :       Tuple		)->    Dict:





        '''simple docstring'''







        super().setUp()

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

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


    def 						snake_case__     (      self :       Tuple,**lowercase_ :       Any		)->    Any:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       Dict,lowercase_ :       List[Any]		)->    List[str]:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       Tuple		)->    Optional[Any]:





        '''simple docstring'''







        A__          =   '</s>'
        A__          =   0

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


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





        '''simple docstring'''







        A__          =   self.get_tokenizer()
        A__          =   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(lowercase_		),tokenizer.vocab_size + len(tokenizer.get_added_vocab()		)		)


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





        '''simple docstring'''







        pass


    def 						snake_case__     (      self :       List[Any]		)->    Tuple:





        '''simple docstring'''







        A__          =   self.get_tokenizer()

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

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

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

        A__          =   tokenizer.convert_tokens_to_string(lowercase_		)
        self.assertEqual(lowercase_,'This is a test'		)


    @slow
    def 						snake_case__     (      self :       Dict		)->    Union[str, Any]:





        '''simple docstring'''







        A__          =   {'input_ids': [[1_2_8_0_2_2, 1_1_0_1_0_8, 3_9_7, 1_1, 3_8_2_7_2, 2_2_4_7, 1_2_4_8_1_1, 2_8_5, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 3_9_5_3_4, 4_4_2_8, 3_9_7, 1_0_1_9, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 4_1_3_3_7, 1_6_7_8_6, 2_4_1, 7, 2_0_2_1_4, 1_7, 1_2_5_6_9_0, 1_0_3_9_8, 7, 4_4_3_7_8, 5_8_0_6_9, 6_8_3_4_2, 7_7_9_8, 7_3_4_3, 1_1, 2_9_9, 3_3_3_1_0, 4, 1_5_8, 3_7_3_5_0, 9_4_0_7_7, 4_5_6_9, 2_9_9, 3_3_3_1_0, 9_0, 4, 5_2_8_4_0, 2_9_0, 4, 3_1_2_7_0, 1_1_2, 2_9_9, 6_8_2, 4, 5_2_8_4_0, 3_9_9_5_3, 1_4_0_7_9, 1_9_3, 5_2_5_1_9, 9_0_8_9_4, 1_7_8_9_4, 1_2_0_6_9_7, 1_1, 4_0_4_4_5, 5_5_1, 1_7, 1_0_1_9, 5_2_5_1_9, 9_0_8_9_4, 1_7_7_5_6, 9_6_3, 1_1, 4_0_4_4_5, 4_8_0, 1_7, 9_7_9_2, 1_1_2_0, 5_1_7_3, 1_3_9_3, 6_2_4_0, 1_6_7_8_6, 2_4_1, 1_2_0_9_9_6, 2_8, 1_2_4_5, 1_3_9_3, 1_1_8_2_4_0, 1_1_1_2_3, 1_0_1_9, 9_3_6_1_2, 2_6_9_1, 1_0_6_1_8, 9_8_0_5_8, 1_2_0_4_0_9, 1_9_2_8, 2_7_9, 4, 4_0_6_8_3, 3_6_7, 1_7_8, 2_0_7, 1_0_1_9, 1_0_3, 1_0_3_1_2_1, 5_0_6, 6_5_2_9_6, 5, 2], [1_2_8_0_2_2, 2_1_2_1_7, 3_6_7, 1_1_7, 1_2_5_4_5_0, 1_2_8, 7_1_9, 7, 7_3_0_8, 4_0, 9_3_6_1_2, 1_2_6_6_9, 1_1_1_6, 1_6_7_0_4, 7_1, 1_7_7_8_5, 3_6_9_9, 1_5_5_9_2, 3_5, 1_4_4, 9_5_8_4, 2_4_1, 1_1_9_4_3, 7_1_3, 9_5_0, 7_9_9, 2_2_4_7, 8_8_4_2_7, 1_5_0, 1_4_9, 1_1_8_8_1_3, 1_2_0_7_0_6, 1_0_1_9, 1_0_6_9_0_6, 8_1_5_1_8, 2_8, 1_2_2_4, 2_2_7_9_9, 3_9_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_8_0_2_2, 1_6_5_8, 1_2_3_3_1_1, 5_1_5_5, 5_5_7_8, 4_7_2_2, 2_7_9, 1_4_9_4_7, 2_3_6_6, 1_1_2_0, 1_1_9_7, 1_4, 1_3_4_8, 9_2_3_2, 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=lowercase_,model_name='facebook/m2m100_418M',revision='c168bae485c864188cf9aa0e4108b0b6934dc91e',)




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







    """simple docstring"""





    lowerCamelCase			=							'facebook/m2m100_418M'
    lowerCamelCase			=							[
        'In my opinion, there are two levels of response from the French government.',
        'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
    ]
    lowerCamelCase			=							[
        '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
    lowerCamelCase			=							[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 						snake_case__     (      cls :       Optional[Any]		)->    Optional[Any]:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       Union[str, Any]		)->    List[str]:





        '''simple docstring'''







        self.assertEqual(self.tokenizer.get_lang_id('ar'		),1_2_8_0_0_6		)
        self.assertEqual(self.tokenizer.get_lang_id('en'		),1_2_8_0_2_2		)
        self.assertEqual(self.tokenizer.get_lang_id('ro'		),1_2_8_0_7_6		)
        self.assertEqual(self.tokenizer.get_lang_id('mr'		),1_2_8_0_6_3		)


    def 						snake_case__     (      self :       Any		)->    Optional[int]:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       Union[str, Any]		)->    int:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       str		)->    Tuple:





        '''simple docstring'''







        self.assertIn(lowercase_,self.tokenizer.all_special_ids		)
        # fmt: off
        A__          =   [FR_CODE, 5_3_6_4, 8_2, 8_6_4_2, 4, 2_9_4, 4_7, 8, 1_4_0_2_8, 1_3_6, 3_2_8_6, 9_7_0_6, 6, 9_0_7_9_7, 6, 1_4_4_0_1_2, 1_6_2, 8_8_1_2_8, 3_0_0_6_1, 5, 2]
        # fmt: on
        A__          =   self.tokenizer.decode(lowercase_,skip_special_tokens=lowercase_		)
        A__          =   self.tokenizer.decode(generated_ids[1:],skip_special_tokens=lowercase_		)
        self.assertEqual(lowercase_,lowercase_		)
        self.assertNotIn(self.tokenizer.eos_token,lowercase_		)


    def 						snake_case__     (      self :       List[str]		)->    int:





        '''simple docstring'''







        A__          =   tempfile.mkdtemp()
        A__          =   self.tokenizer.lang_token_to_id
        self.tokenizer.save_pretrained(lowercase_		)
        A__          =   MaMaaaTokenizer.from_pretrained(lowercase_		)
        self.assertDictEqual(new_tok.lang_token_to_id,lowercase_		)


    @require_torch
    def 						snake_case__     (      self :       List[Any]		)->    List[Any]:





        '''simple docstring'''







        A__          =   'en'
        A__          =   'fr'

        A__          =   self.tokenizer(self.src_text,text_target=self.tgt_text,padding=lowercase_,return_tensors='pt'		)

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

        for k in batch:
            A__          =   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 						snake_case__     (      self :       Optional[Any]		)->    Union[str, Any]:





        '''simple docstring'''







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

        A__          =   '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 						snake_case__     (      self :       Optional[Any]		)->    List[str]:





        '''simple docstring'''







        A__          =   '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		)]		)

        A__          =   '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 						snake_case__     (      self :       Union[str, Any]		)->    Any:





        '''simple docstring'''







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

        self.assertEqual(
            nested_simplify(lowercase_		),{
                # en_XX, A, test, EOS
                'input_ids': [[1_2_8_0_2_2, 5_8, 4_1_8_3, 2]],
                'attention_mask': [[1, 1, 1, 1]],
                # ar_AR
                'forced_bos_token_id': 1_2_8_0_0_6,
            },)







def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      while b:
            _A			,   _A							:     List[str]			=						b, a % b
      return a







def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      return a if b == 0 else euclidean_gcd_recursive(snake_case_,a % b     )







def 				lowerCAmelCase_	(     ):
      print(f'''euclidean_gcd(3, 5) = {euclidean_gcd(3,5     )}'''     )
      print(f'''euclidean_gcd(5, 3) = {euclidean_gcd(5,3     )}'''     )
      print(f'''euclidean_gcd(1, 3) = {euclidean_gcd(1,3     )}'''     )
      print(f'''euclidean_gcd(3, 6) = {euclidean_gcd(3,6     )}'''     )
      print(f'''euclidean_gcd(6, 3) = {euclidean_gcd(6,3     )}'''     )

      print(f'''euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3,5     )}'''     )
      print(f'''euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5,3     )}'''     )
      print(f'''euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1,3     )}'''     )
      print(f'''euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3,6     )}'''     )
      print(f'''euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6,3     )}'''     )


if __name__ == "__main__":
  main()

