"""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  :	Optional[int]  				=				MaMaaaTokenizer
    _snake_case  :	Tuple  				=				False
    _snake_case  :	Optional[int]  				=				False
    _snake_case  :	int  				=				True


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


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


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _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						:	Tuple       ):
      _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						:	str       ):
      pass


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _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						:	Dict       ):
      # 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  :	Dict  				=				'facebook/m2m100_418M'
    _snake_case  :	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  :	str  				=				[
        '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						:	Tuple       ):
      _UpperCAmelCase    			=   MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name ,					src_lang="""en""" ,					tgt_lang="""fr"""       )
      _UpperCAmelCase    			=   1
      return cls


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


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      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						:	int       ):
      _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						:	Optional[int]       ):
      _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						:	Union[str, Any]       ):
      _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						:	Dict       ):
      _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						:	Optional[int]       ):
      _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"""


def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   len(lowercase		)

  for i in range(n - 1		):
    for j in range(i + 1 ,lowercase		):
      if arr[i] > arr[j]:
        num_inversions += 1

  return num_inversions






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  if len(lowercase		) <= 1:
    return arr, 0
  _UpperCAmelCase    			=   len(lowercase		) // 2
  _UpperCAmelCase    			=   arr[0:mid]
  _UpperCAmelCase    			=   arr[mid:]

  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   _count_cross_inversions(lowercase ,lowercase		)

  _UpperCAmelCase    			=   inversion_p + inversions_q + cross_inversions
  return c, num_inversions






def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   []
  _UpperCAmelCase    			=   _UpperCAmelCase    			=   _UpperCAmelCase    			=   0
  while i < len(lowercase		) and j < len(lowercase		):
    if p[i] > q[j]:
      # if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
      # These are all inversions. The claim emerges from the
      # property that P is sorted.
      num_inversion += len(lowercase		) - i
      r.append(q[j]		)
      j += 1
    else:
      r.append(p[i]		)
      i += 1

  if i < len(lowercase		):
    r.extend(p[i:]		)
  else:
    r.extend(q[j:]		)

  return r, num_inversion






def      __UpperCAmelCase       (      ):







  """simple docstring"""
  _UpperCAmelCase    			=   [10, 2, 1, 5, 5, 2, 11]

  # this arr has 8 inversions:
  # (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 8

  print("""number of inversions = """ ,lowercase		)

  # testing an array with zero inversion (a sorted arr_1)

  arr_a.sort()
  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 0
  print("""number of inversions = """ ,lowercase		)

  # an empty list should also have zero inversions
  _UpperCAmelCase    			=   []
  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 0
  print("""number of inversions = """ ,lowercase		)


if __name__ == "__main__":
    main()
