




"""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_      			=       get_tests_dir('''fixtures/test_sentencepiece.model''')


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

A_      			=       12_80_22
A_      			=       12_80_28






@require_sentencepiece
class       lowercase(  __a ,    unittest.TestCase				):







 '''simple docstring'''





 lowercase__				      =      MaMaaaTokenizer
 lowercase__				      =      False
 lowercase__				      =      False
 lowercase__				      =      True


 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   super().setUp()

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

   _snake_case							:	Optional[Any]			=						MaMaaaTokenizer.from_pretrained(self.tmpdirname	)
   tokenizer.save_pretrained(self.tmpdirname	)


 def 				UpperCamelCase_     (       self:	Optional[Any],   **a_:	Optional[int]	):




   '''simple docstring'''



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


 def 				UpperCamelCase_     (       self:	Union[str, Any],   a_:	str	):




   '''simple docstring'''



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


 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   _snake_case							:	Optional[int]			=						"""</s>"""
   _snake_case							:	str			=						0

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


 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   _snake_case							:	Union[str, Any]			=						self.get_tokenizer()
   _snake_case							:	Dict			=						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(a_	),   tokenizer.vocab_size + len(tokenizer.get_added_vocab()	)	)


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




   '''simple docstring'''



   pass


 def 				UpperCamelCase_     (       self:	Any	):




   '''simple docstring'''



   _snake_case							:	Tuple			=						self.get_tokenizer()

   _snake_case							:	str			=						tokenizer.tokenize("""This is a test"""	)
   self.assertListEqual(a_,   ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

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

   _snake_case							:	List[str]			=						tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]	)
   self.assertListEqual(a_,   ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

   _snake_case							:	Optional[int]			=						tokenizer.convert_tokens_to_string(a_	)
   self.assertEqual(a_,   """This is a test"""	)


 @slow
 def 				UpperCamelCase_     (       self:	Optional[int]	):




   '''simple docstring'''



   _snake_case							:	Tuple			=						{"""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=a_,   model_name="""facebook/m2m100_418M""",   revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e""",   )







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







 '''simple docstring'''





 lowercase__				      =      "facebook/m2m100_418M"
 lowercase__				      =      [
     "In my opinion, there are two levels of response from the French government.",
     "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
 ]
 lowercase__				      =      [
     "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
 lowercase__				      =      [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 				UpperCamelCase_     (       cls:	List[Any]	):




   '''simple docstring'''



   _snake_case							:	MaMaaaTokenizer			=						MaMaaaTokenizer.from_pretrained(
       cls.checkpoint_name,   src_lang="""en""",   tgt_lang="""fr"""	)
   _snake_case							:	Dict			=						1
   return cls


 def 				UpperCamelCase_     (       self:	List[str]	):




   '''simple docstring'''



   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:	str	):




   '''simple docstring'''



   _snake_case							:	Optional[int]			=						self.tokenizer.get_vocab()
   self.assertEqual(len(a_	),   self.tokenizer.vocab_size	)
   self.assertEqual(vocab["""<unk>"""],   3	)
   self.assertIn(self.tokenizer.get_lang_token("""en"""	),   a_	)


 def 				UpperCamelCase_     (       self:	Optional[Any]	):




   '''simple docstring'''



   _snake_case							:	List[Any]			=						"""en"""
   _snake_case							:	str			=						self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
   self.assertListEqual(self.expected_src_tokens,   a_	)


 def 				UpperCamelCase_     (       self:	Tuple	):




   '''simple docstring'''



   self.assertIn(a_,   self.tokenizer.all_special_ids	)
   # fmt: off
   _snake_case							:	Union[str, Any]			=						[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
   _snake_case							:	Any			=						self.tokenizer.decode(a_,   skip_special_tokens=a_	)
   _snake_case							:	Optional[Any]			=						self.tokenizer.decode(generated_ids[1:],   skip_special_tokens=a_	)
   self.assertEqual(a_,   a_	)
   self.assertNotIn(self.tokenizer.eos_token,   a_	)


 def 				UpperCamelCase_     (       self:	Optional[int]	):




   '''simple docstring'''



   _snake_case							:	int			=						tempfile.mkdtemp()
   _snake_case							:	int			=						self.tokenizer.lang_token_to_id
   self.tokenizer.save_pretrained(a_	)
   _snake_case							:	Optional[Any]			=						MaMaaaTokenizer.from_pretrained(a_	)
   self.assertDictEqual(new_tok.lang_token_to_id,   a_	)


 @require_torch
 def 				UpperCamelCase_     (       self:	Union[str, Any]	):




   '''simple docstring'''



   _snake_case							:	Dict			=						"""en"""
   _snake_case							:	Union[str, Any]			=						"""fr"""

   _snake_case							:	Optional[int]			=						self.tokenizer(self.src_text,   text_target=self.tgt_text,   padding=a_,   return_tensors="""pt"""	)

   _snake_case							:	List[str]			=						shift_tokens_right(
       batch["""labels"""],   self.tokenizer.pad_token_id,   self.tokenizer.eos_token_id	)

   for k in batch:
     _snake_case							:	Optional[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:	Union[str, Any]	):




   '''simple docstring'''



   _snake_case							:	Optional[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]	)

   _snake_case							:	str			=						"""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:	Dict	):




   '''simple docstring'''



   _snake_case							:	int			=						"""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							:	Dict			=						"""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	):




   '''simple docstring'''



   _snake_case							:	List[str]			=						self.tokenizer._build_translation_inputs("""A test""",   return_tensors="""pt""",   src_lang="""en""",   tgt_lang="""ar"""	)

   self.assertEqual(
       nested_simplify(a_	),   {
           # 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 Any


def       UpperCAmelCase__ (snake_case__							:      list					):
  """simple docstring"""

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


if __name__ == "__main__":
     import doctest

     doctest.testmod()


