


'''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():
 a_					:    List[str]          =    get_tests_dir("fixtures/test_sentencepiece.model")


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

a_					:    str          =    1_2_8_0_2_2
a_					:    Dict          =    1_2_8_0_2_8




@require_sentencepiece
class  a     (     _SCREAMING_SNAKE_CASE  ,				unittest.TestCase       ):
 _lowerCAmelCase 					=	MaMaaaTokenizer
 _lowerCAmelCase 					=	False
 _lowerCAmelCase 					=	False
 _lowerCAmelCase 					=	True
 def 							__UpperCAmelCase		( self						)					->							Any:
      super().setUp()

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

      _a			      =							MaMaaaTokenizer.from_pretrained(self.tmpdirname						)
      tokenizer.save_pretrained(self.tmpdirname						)
 def 							__UpperCAmelCase		( self      ,				**__magic_name__						)					->							List[str]:
      return MaMaaaTokenizer.from_pretrained(self.tmpdirname      ,				**__magic_name__						)
 def 							__UpperCAmelCase		( self      ,				__magic_name__						)					->							List[str]:
      return (
          "This is a test",
          "This is a test",
      )
 def 							__UpperCAmelCase		( self						)					->							List[str]:
      _a			      =							'</s>'
      _a			      =							0

      self.assertEqual(self.get_tokenizer()._convert_token_to_id(__magic_name__						)      ,				__magic_name__						)
      self.assertEqual(self.get_tokenizer()._convert_id_to_token(__magic_name__						)      ,				__magic_name__						)
 def 							__UpperCAmelCase		( self						)					->							str:
      _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(__magic_name__						)      ,				tokenizer.vocab_size + len(tokenizer.get_added_vocab()						)						)
 @unittest.skip('Skip this test while all models are still to be uploaded.'						)
 def 							__UpperCAmelCase		( self						)					->							int:
      pass
 def 							__UpperCAmelCase		( self						)					->							Optional[int]:
      _a			      =							self.get_tokenizer()

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

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

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

      _a			      =							tokenizer.convert_tokens_to_string(__magic_name__						)
      self.assertEqual(__magic_name__      ,				'This is a test'						)




 @slow
 def 							__UpperCAmelCase		( self						)					->							str:
      # fmt: off
      _a			      =							{'input_ids': [[12_80_22, 11_01_08, 3_97, 11, 3_82_72, 22_47, 12_48_11, 2_85, 1_81_05, 15_86, 2_07, 7, 3_95_34, 44_28, 3_97, 10_19, 1_81_05, 15_86, 2_07, 7, 4_13_37, 1_67_86, 2_41, 7, 2_02_14, 17, 12_56_90, 1_03_98, 7, 4_43_78, 5_80_69, 6_83_42, 77_98, 73_43, 11, 2_99, 3_33_10, 4, 1_58, 3_73_50, 9_40_77, 45_69, 2_99, 3_33_10, 90, 4, 5_28_40, 2_90, 4, 3_12_70, 1_12, 2_99, 6_82, 4, 5_28_40, 3_99_53, 1_40_79, 1_93, 5_25_19, 9_08_94, 1_78_94, 12_06_97, 11, 4_04_45, 5_51, 17, 10_19, 5_25_19, 9_08_94, 1_77_56, 9_63, 11, 4_04_45, 4_80, 17, 97_92, 11_20, 51_73, 13_93, 62_40, 1_67_86, 2_41, 12_09_96, 28, 12_45, 13_93, 11_82_40, 1_11_23, 10_19, 9_36_12, 26_91, 1_06_18, 9_80_58, 12_04_09, 19_28, 2_79, 4, 4_06_83, 3_67, 1_78, 2_07, 10_19, 1_03, 10_31_21, 5_06, 6_52_96, 5, 2], [12_80_22, 2_12_17, 3_67, 1_17, 12_54_50, 1_28, 7_19, 7, 73_08, 40, 9_36_12, 1_26_69, 11_16, 1_67_04, 71, 1_77_85, 36_99, 1_55_92, 35, 1_44, 95_84, 2_41, 1_19_43, 7_13, 9_50, 7_99, 22_47, 8_84_27, 1_50, 1_49, 11_88_13, 12_07_06, 10_19, 10_69_06, 8_15_18, 28, 12_24, 2_27_99, 3_97, 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_80_22, 16_58, 12_33_11, 51_55, 55_78, 47_22, 2_79, 1_49_47, 23_66, 11_20, 11_97, 14, 13_48, 92_32, 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=__magic_name__      ,				model_name='facebook/m2m100_418M'      ,				revision='c168bae485c864188cf9aa0e4108b0b6934dc91e'      ,				)





@require_torch
@require_sentencepiece
@require_tokenizers
class  a     (     unittest.TestCase       ):
 _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_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 							__UpperCAmelCase		( cls						)					->							Optional[int]:
      _a			      =							MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name      ,				src_lang='en'      ,				tgt_lang='fr'						)
      _a			      =							1
      return cls
 def 							__UpperCAmelCase		( self						)					->							List[str]:
      self.assertEqual(self.tokenizer.get_lang_id('ar'						)      ,				12_80_06						)
      self.assertEqual(self.tokenizer.get_lang_id('en'						)      ,				12_80_22						)
      self.assertEqual(self.tokenizer.get_lang_id('ro'						)      ,				12_80_76						)
      self.assertEqual(self.tokenizer.get_lang_id('mr'						)      ,				12_80_63						)
 def 							__UpperCAmelCase		( self						)					->							Union[str, Any]:
      _a			      =							self.tokenizer.get_vocab()
      self.assertEqual(len(__magic_name__						)      ,				self.tokenizer.vocab_size						)
      self.assertEqual(vocab['<unk>']      ,				3						)
      self.assertIn(self.tokenizer.get_lang_token('en'						)      ,				__magic_name__						)
 def 							__UpperCAmelCase		( self						)					->							List[Any]:
      _a			      =							'en'
      _a			      =							self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
      self.assertListEqual(self.expected_src_tokens      ,				__magic_name__						)
 def 							__UpperCAmelCase		( self						)					->							Optional[Any]:
      self.assertIn(__magic_name__      ,				self.tokenizer.all_special_ids						)
      # fmt: off
      _a			      =							[FR_CODE, 53_64, 82, 86_42, 4, 2_94, 47, 8, 1_40_28, 1_36, 32_86, 97_06, 6, 9_07_97, 6, 14_40_12, 1_62, 8_81_28, 3_00_61, 5, 2]
      # fmt: on
      _a			      =							self.tokenizer.decode(__magic_name__      ,				skip_special_tokens=__magic_name__						)
      _a			      =							self.tokenizer.decode(generated_ids[1:]      ,				skip_special_tokens=__magic_name__						)
      self.assertEqual(__magic_name__      ,				__magic_name__						)
      self.assertNotIn(self.tokenizer.eos_token      ,				__magic_name__						)
 def 							__UpperCAmelCase		( self						)					->							Tuple:
      _a			      =							tempfile.mkdtemp()
      _a			      =							self.tokenizer.lang_token_to_id
      self.tokenizer.save_pretrained(__magic_name__						)
      _a			      =							MaMaaaTokenizer.from_pretrained(__magic_name__						)
      self.assertDictEqual(new_tok.lang_token_to_id      ,				__magic_name__						)
 @require_torch
 def 							__UpperCAmelCase		( self						)					->							Optional[Any]:
      _a			      =							'en'
      _a			      =							'fr'

      _a			      =							self.tokenizer(self.src_text      ,				text_target=self.tgt_text      ,				padding=__magic_name__      ,				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 							__UpperCAmelCase		( self						)					->							Any:
      _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 							__UpperCAmelCase		( self						)					->							Any:
      _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 							__UpperCAmelCase		( self						)					->							Any:
      _a			      =							self.tokenizer._build_translation_inputs('A test'      ,				return_tensors='pt'      ,				src_lang='en'      ,				tgt_lang='ar'						)

      self.assertEqual(
          nested_simplify(__magic_name__						)      ,				{
              # en_XX, A, test, EOS
              'input_ids': [[12_80_22, 58, 41_83, 2]],
              'attention_mask': [[1, 1, 1, 1]],
              # ar_AR
              'forced_bos_token_id': 12_80_06,
          }      ,				)





'''simple docstring'''






from typing import Any






def 	_A				(lowerCAmelCase__  :list		)   ->  list[Any]:




     '''simple docstring'''



     if not input_list:
          return []
     _a			      =							[input_list.count(lowerCAmelCase__		) for value in input_list]
     _a			      =							max(lowerCAmelCase__		)  # Gets the maximum count in the input list.
     # Gets values of modes
     return sorted({input_list[i] for i, value in enumerate(lowerCAmelCase__		) if value == y}		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

