"""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__     						=  1_2_8_0_2_2
UpperCAmelCase__     						=  1_2_8_0_2_8


@require_sentencepiece
class 				a (						lowerCAmelCase_		,							unittest.TestCase      ):
    _snake_case   :     List[Any]   							=							MaMaaaTokenizer
    _snake_case   :     int   							=							False
    _snake_case   :     List[str]   							=							False
    _snake_case   :     Any   							=							True


    def    lowerCAmelCase_     (    self		:     List[Any]    ):
      super().setUp()

      _UpperCAmelCase         =					["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
      _UpperCAmelCase         =					dict(zip(__lowerCAmelCase      , range(len(__lowerCAmelCase    )    )    )    )
      _UpperCAmelCase         =					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"""]    )

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


    def    lowerCAmelCase_     (    self		:     Union[str, Any]      , **__lowerCAmelCase		:     str    ):
      return MaMaaaTokenizer.from_pretrained(self.tmpdirname      , **__lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Dict      , __lowerCAmelCase		:     Any    ):
      return (
          "This is a test",
          "This is a test",
      )


    def    lowerCAmelCase_     (    self		:     List[str]    ):
      _UpperCAmelCase         =					"""</s>"""
      _UpperCAmelCase         =					0

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


    def    lowerCAmelCase_     (    self		:     int    ):
      _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(__lowerCAmelCase    )      , tokenizer.vocab_size + len(tokenizer.get_added_vocab()    )    )


    @unittest.skip("""Skip this test while all models are still to be uploaded."""    )
    def    lowerCAmelCase_     (    self		:     Tuple    ):
      pass


    def    lowerCAmelCase_     (    self		:     str    ):
      _UpperCAmelCase         =					self.get_tokenizer()

      _UpperCAmelCase         =					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]      , )

      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]    )
      self.assertListEqual(__lowerCAmelCase      , ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]    )

      _UpperCAmelCase         =					tokenizer.convert_tokens_to_string(__lowerCAmelCase    )
      self.assertEqual(__lowerCAmelCase      , """This is a test"""    )


    @slow
    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      # fmt: off
      _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=__lowerCAmelCase      , model_name="""facebook/m2m100_418M"""      , revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""      , )



@require_torch
@require_sentencepiece
@require_tokenizers
class 				a (						unittest.TestCase      ):
    _snake_case   :     List[str]   							=							'facebook/m2m100_418M'
    _snake_case   :     Optional[int]   							=							[
        'In my opinion, there are two levels of response from the French government.',
        'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
    ]
    _snake_case   :     int   							=							[
        '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   :     Optional[int]   							=							[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    lowerCAmelCase_     (    cls		:     Any    ):
      _UpperCAmelCase         =					MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name      , src_lang="""en"""      , tgt_lang="""fr"""    )
      _UpperCAmelCase         =					1
      return cls


    def    lowerCAmelCase_     (    self		:     Dict    ):
      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    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      _UpperCAmelCase         =					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    lowerCAmelCase_     (    self		:     Tuple    ):
      _UpperCAmelCase         =					"""en"""
      _UpperCAmelCase         =					self.tokenizer.batch_encode_plus(self.src_text    ).input_ids[0]
      self.assertListEqual(self.expected_src_tokens      , __lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     int    ):
      self.assertIn(__lowerCAmelCase      , 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(__lowerCAmelCase      , skip_special_tokens=__lowerCAmelCase    )
      _UpperCAmelCase         =					self.tokenizer.decode(generated_ids[1:]      , skip_special_tokens=__lowerCAmelCase    )
      self.assertEqual(__lowerCAmelCase      , __lowerCAmelCase    )
      self.assertNotIn(self.tokenizer.eos_token      , __lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Any    ):
      _UpperCAmelCase         =					tempfile.mkdtemp()
      _UpperCAmelCase         =					self.tokenizer.lang_token_to_id
      self.tokenizer.save_pretrained(__lowerCAmelCase    )
      _UpperCAmelCase         =					MaMaaaTokenizer.from_pretrained(__lowerCAmelCase    )
      self.assertDictEqual(new_tok.lang_token_to_id      , __lowerCAmelCase    )


    @require_torch
    def    lowerCAmelCase_     (    self		:     str    ):
      _UpperCAmelCase         =					"""en"""
      _UpperCAmelCase         =					"""fr"""

      _UpperCAmelCase         =					self.tokenizer(self.src_text      , text_target=self.tgt_text      , padding=__lowerCAmelCase      , 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    lowerCAmelCase_     (    self		:     List[str]    ):
      _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    lowerCAmelCase_     (    self		:     int    ):
      _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    lowerCAmelCase_     (    self		:     Any    ):
      _UpperCAmelCase         =					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"""


import warnings


warnings.warn(
    """memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: """
    """`from accelerate import find_executable_batch_size` to avoid this warning.""",
    FutureWarning,
)
