

'''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():
 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_			(    _snake_case	,       unittest.TestCase							):






     '''simple docstring'''



     UpperCAmelCase_						:     Optional[int]  		=  MaMaaaTokenizer
     UpperCAmelCase_						:     Optional[Any]  		=  False
     UpperCAmelCase_						:     str  		=  False
     UpperCAmelCase_						:     List[Any]  		=  True


     def        UpperCAmelCase_	(		self			:					Any	)						->     Optional[int]:
      super().setUp()

      UpperCAmelCase	:     Tuple						 =			['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
      UpperCAmelCase	:     List[str]						 =			dict(zip(lowercase_					,      range(len(lowercase_	)	)	)	)
      UpperCAmelCase	:     Dict						 =			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']	)

      UpperCAmelCase	:     Optional[int]						 =			MaMaaaTokenizer.from_pretrained(self.tmpdirname	)
      tokenizer.save_pretrained(self.tmpdirname	)


     def        UpperCAmelCase_	(		self			:					Optional[int]					,      **lowercase_			:					List[str]	)						->     Any:
      return MaMaaaTokenizer.from_pretrained(self.tmpdirname					,      **lowercase_	)


     def        UpperCAmelCase_	(		self			:					List[str]					,      lowercase_			:					int	)						->     Optional[int]:
      return (
          "This is a test",
          "This is a test",
      )


     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     str:
      UpperCAmelCase	:     str						 =			'</s>'
      UpperCAmelCase	:     Optional[Any]						 =			0

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


     def        UpperCAmelCase_	(		self			:					List[str]	)						->     Union[str, Any]:
      UpperCAmelCase	:     str						 =			self.get_tokenizer()
      UpperCAmelCase	:     Tuple						 =			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        UpperCAmelCase_	(		self			:					str	)						->     Tuple:
      pass


     def        UpperCAmelCase_	(		self			:					Dict	)						->     Union[str, Any]:
      UpperCAmelCase	:     str						 =			self.get_tokenizer()

      UpperCAmelCase	:     str						 =			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]					,      )

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

      UpperCAmelCase	:     int						 =			tokenizer.convert_tokens_to_string(lowercase_	)
      self.assertEqual(lowercase_					,      'This is a test'	)




     @slow
     def        UpperCAmelCase_	(		self			:					int	)						->     Tuple:
      # fmt: off
      UpperCAmelCase	:     List[str]						 =			{'input_ids': [[128_022, 110_108, 397, 11, 38_272, 2_247, 124_811, 285, 18_105, 1_586, 207, 7, 39_534, 4_428, 397, 1_019, 18_105, 1_586, 207, 7, 41_337, 16_786, 241, 7, 20_214, 17, 125_690, 10_398, 7, 44_378, 58_069, 68_342, 7_798, 7_343, 11, 299, 33_310, 4, 158, 37_350, 94_077, 4_569, 299, 33_310, 90, 4, 52_840, 290, 4, 31_270, 112, 299, 682, 4, 52_840, 39_953, 14_079, 193, 52_519, 90_894, 17_894, 120_697, 11, 40_445, 551, 17, 1_019, 52_519, 90_894, 17_756, 963, 11, 40_445, 480, 17, 9_792, 1_120, 5_173, 1_393, 6_240, 16_786, 241, 120_996, 28, 1_245, 1_393, 118_240, 11_123, 1_019, 93_612, 2_691, 10_618, 98_058, 120_409, 1_928, 279, 4, 40_683, 367, 178, 207, 1_019, 103, 103_121, 506, 65_296, 5, 2], [128_022, 21_217, 367, 117, 125_450, 128, 719, 7, 7_308, 40, 93_612, 12_669, 1_116, 16_704, 71, 17_785, 3_699, 15_592, 35, 144, 9_584, 241, 11_943, 713, 950, 799, 2_247, 88_427, 150, 149, 118_813, 120_706, 1_019, 106_906, 81_518, 28, 1_224, 22_799, 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], [128_022, 1_658, 123_311, 5_155, 5_578, 4_722, 279, 14_947, 2_366, 1_120, 1_197, 14, 1_348, 9_232, 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'''



     UpperCAmelCase_						:     Optional[Any]  		=  """facebook/m2m100_418M"""
     UpperCAmelCase_						:     Optional[Any]  		=  [
         """In my opinion, there are two levels of response from the French government.""",
         """NSA Affair Emphasizes Complete Lack of Debate on Intelligence""",
     ]
     UpperCAmelCase_						:     Union[str, Any]  		=  [
         """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
     UpperCAmelCase_						:     List[str]  		=  [EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]


     @classmethod
     def        UpperCAmelCase_	(		cls			:					Tuple	)						->     str:
      UpperCAmelCase	:     MaMaaaTokenizer						 =			MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name					,      src_lang='en'					,      tgt_lang='fr'	)
      UpperCAmelCase	:     Any						 =			1
      return cls


     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     Tuple:
      self.assertEqual(self.tokenizer.get_lang_id('ar'	)					,      128_006	)
      self.assertEqual(self.tokenizer.get_lang_id('en'	)					,      128_022	)
      self.assertEqual(self.tokenizer.get_lang_id('ro'	)					,      128_076	)
      self.assertEqual(self.tokenizer.get_lang_id('mr'	)					,      128_063	)


     def        UpperCAmelCase_	(		self			:					int	)						->     List[str]:
      UpperCAmelCase	:     int						 =			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        UpperCAmelCase_	(		self			:					Any	)						->     int:
      UpperCAmelCase	:     Tuple						 =			'en'
      UpperCAmelCase	:     Optional[int]						 =			self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
      self.assertListEqual(self.expected_src_tokens					,      lowercase_	)


     def        UpperCAmelCase_	(		self			:					Optional[Any]	)						->     Tuple:
      self.assertIn(lowercase_					,      self.tokenizer.all_special_ids	)
      # fmt: off
      UpperCAmelCase	:     Dict						 =			[FR_CODE, 5_364, 82, 8_642, 4, 294, 47, 8, 14_028, 136, 3_286, 9_706, 6, 90_797, 6, 144_012, 162, 88_128, 30_061, 5, 2]
      # fmt: on
      UpperCAmelCase	:     Union[str, Any]						 =			self.tokenizer.decode(lowercase_					,      skip_special_tokens=lowercase_	)
      UpperCAmelCase	:     int						 =			self.tokenizer.decode(generated_ids[1:]					,      skip_special_tokens=lowercase_	)
      self.assertEqual(lowercase_					,      lowercase_	)
      self.assertNotIn(self.tokenizer.eos_token					,      lowercase_	)


     def        UpperCAmelCase_	(		self			:					str	)						->     Any:
      UpperCAmelCase	:     List[str]						 =			tempfile.mkdtemp()
      UpperCAmelCase	:     Tuple						 =			self.tokenizer.lang_token_to_id
      self.tokenizer.save_pretrained(lowercase_	)
      UpperCAmelCase	:     List[str]						 =			MaMaaaTokenizer.from_pretrained(lowercase_	)
      self.assertDictEqual(new_tok.lang_token_to_id					,      lowercase_	)


     @require_torch
     def        UpperCAmelCase_	(		self			:					Union[str, Any]	)						->     List[Any]:
      UpperCAmelCase	:     List[str]						 =			'en'
      UpperCAmelCase	:     Optional[int]						 =			'fr'

      UpperCAmelCase	:     int						 =			self.tokenizer(self.src_text					,      text_target=self.tgt_text					,      padding=lowercase_					,      return_tensors='pt'	)

      UpperCAmelCase	:     List[Any]						 =			shift_tokens_right(
          batch['labels']					,      self.tokenizer.pad_token_id					,      self.tokenizer.eos_token_id	)

      for k in batch:
       UpperCAmelCase	:     int						 =			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        UpperCAmelCase_	(		self			:					str	)						->     Optional[Any]:
      UpperCAmelCase	:     List[Any]						 =			'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	:     Dict						 =			'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        UpperCAmelCase_	(		self			:					str	)						->     List[str]:
      UpperCAmelCase	:     Optional[Any]						 =			'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	:     Tuple						 =			'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        UpperCAmelCase_	(		self			:					Dict	)						->     Dict:
      UpperCAmelCase	:     Union[str, Any]						 =			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': [[128_022, 58, 4_183, 2]],
              'attention_mask': [[1, 1, 1, 1]],
              # ar_AR
              'forced_bos_token_id': 128_006,
          }					,      )







'''simple docstring'''

from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase__         =      {"configuration_van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"]}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__         =      [
     "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "VanForImageClassification",
     "VanModel",
     "VanPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_van import (
      VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
      VanForImageClassification,
      VanModel,
      VanPreTrainedModel,
  )

else:
 import sys

 lowercase__         =      _LazyModule(__name__, globals()["__file__"], _import_structure)




