"""simple docstring"""


import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__			=    get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
@require_tokenizers
class 							a					(		lowerCAmelCase_						,				unittest.TestCase ):
    _snake_case  :	Any  				=				ReformerTokenizer
    _snake_case  :	Tuple  				=				ReformerTokenizerFast
    _snake_case  :	List[Any]  				=				True
    _snake_case  :	str  				=				False
    _snake_case  :	str  				=				True


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

      _UpperCAmelCase    			=   ReformerTokenizer(__lowerCAmelCase ,					keep_accents=__lowerCAmelCase       )
      tokenizer.save_pretrained(self.tmpdirname       )


    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   """<s>"""
      _UpperCAmelCase    			=   1

      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    			=   list(self.get_tokenizer().get_vocab().keys()       )

      self.assertEqual(vocab_keys[0] ,					"""<unk>"""       )
      self.assertEqual(vocab_keys[1] ,					"""<s>"""       )
      self.assertEqual(vocab_keys[-1] ,					"""j"""       )
      self.assertEqual(len(__lowerCAmelCase       ) ,					1000       )


    def   lowerCAmelCase_	(       self						:	str       ):
      self.assertEqual(self.get_tokenizer().vocab_size ,					1000       )


    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      if not self.test_rust_tokenizer:
        return

      _UpperCAmelCase    			=   self.get_tokenizer()
      _UpperCAmelCase    			=   self.get_rust_tokenizer()

      _UpperCAmelCase    			=   """I was born in 92000, and this is falsé."""

      _UpperCAmelCase    			=   tokenizer.tokenize(__lowerCAmelCase       )
      _UpperCAmelCase    			=   rust_tokenizer.tokenize(__lowerCAmelCase       )
      self.assertListEqual(__lowerCAmelCase ,					__lowerCAmelCase       )

      _UpperCAmelCase    			=   tokenizer.encode(__lowerCAmelCase ,					add_special_tokens=__lowerCAmelCase       )
      _UpperCAmelCase    			=   rust_tokenizer.encode(__lowerCAmelCase ,					add_special_tokens=__lowerCAmelCase       )
      self.assertListEqual(__lowerCAmelCase ,					__lowerCAmelCase       )

      _UpperCAmelCase    			=   self.get_rust_tokenizer()
      _UpperCAmelCase    			=   tokenizer.encode(__lowerCAmelCase       )
      _UpperCAmelCase    			=   rust_tokenizer.encode(__lowerCAmelCase       )
      self.assertListEqual(__lowerCAmelCase ,					__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	List[Any] ,					__lowerCAmelCase						:	List[Any]=15       ):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
          _UpperCAmelCase    			=   self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase ,					**__lowerCAmelCase       )

          # Simple input
          _UpperCAmelCase    			=   """This is a simple input"""
          _UpperCAmelCase    			=   ["""This is a simple input 1""", """This is a simple input 2"""]
          _UpperCAmelCase    			=   ("""This is a simple input""", """This is a pair""")
          _UpperCAmelCase    			=   [
              ("""This is a simple input 1""", """This is a simple input 2"""),
              ("""This is a simple pair 1""", """This is a simple pair 2"""),
          ]

          # Simple input tests
          self.assertRaises(__lowerCAmelCase ,					tokenizer_r.encode ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length"""       )

          # Simple input
          self.assertRaises(__lowerCAmelCase ,					tokenizer_r.encode_plus ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length"""       )

          # Simple input
          self.assertRaises(
              __lowerCAmelCase ,					tokenizer_r.batch_encode_plus ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length""" ,					)

          # Pair input
          self.assertRaises(__lowerCAmelCase ,					tokenizer_r.encode ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length"""       )

          # Pair input
          self.assertRaises(__lowerCAmelCase ,					tokenizer_r.encode_plus ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length"""       )

          # Pair input
          self.assertRaises(
              __lowerCAmelCase ,					tokenizer_r.batch_encode_plus ,					__lowerCAmelCase ,					max_length=__lowerCAmelCase ,					padding="""max_length""" ,					)


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


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   ReformerTokenizer(__lowerCAmelCase ,					keep_accents=__lowerCAmelCase       )

      _UpperCAmelCase    			=   tokenizer.tokenize("""This is a test"""       )
      self.assertListEqual(__lowerCAmelCase ,					["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]       )

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(__lowerCAmelCase       ) ,					[285, 46, 10, 170, 382] ,					)

      _UpperCAmelCase    			=   tokenizer.tokenize("""I was born in 92000, and this is falsé."""       )
      self.assertListEqual(
          __lowerCAmelCase ,					[
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """9""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """é""",
              """.""",
          ] ,					)
      _UpperCAmelCase    			=   tokenizer.convert_tokens_to_ids(__lowerCAmelCase       )
      self.assertListEqual(
          __lowerCAmelCase ,					[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,					)

      _UpperCAmelCase    			=   tokenizer.convert_ids_to_tokens(__lowerCAmelCase       )
      self.assertListEqual(
          __lowerCAmelCase ,					[
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """<unk>""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """<unk>""",
              """.""",
          ] ,					)


    @cached_property
    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      return ReformerTokenizer.from_pretrained("""google/reformer-crime-and-punishment"""       )


    @slow
    def   lowerCAmelCase_	(       self						:	Tuple       ):
      _UpperCAmelCase    			=   """Hello World!"""
      _UpperCAmelCase    			=   [126, 32, 262, 152, 38, 72, 287]

      self.assertListEqual(__lowerCAmelCase ,					self.big_tokenizer.encode(__lowerCAmelCase       )       )


    @slow
    def   lowerCAmelCase_	(       self						:	int       ):
      _UpperCAmelCase    			=   (
          """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
          """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
      )
      _UpperCAmelCase    			=   [
          108,
          265,
          24,
          111,
          4,
          258,
          156,
          35,
          28,
          275,
          3,
          259,
          297,
          260,
          84,
          4,
          35,
          110,
          44,
          8,
          259,
          91,
          268,
          21,
          11,
          209,
          274,
          109,
          266,
          277,
          117,
          86,
          93,
          315,
          258,
          278,
          258,
          277,
          258,
          0,
          258,
          288,
          258,
          319,
          258,
          0,
          258,
          0,
          258,
          0,
          258,
          0,
          258,
          287,
          258,
          315,
          258,
          289,
          258,
          278,
          99,
          269,
          266,
          262,
          8,
          259,
          241,
          4,
          217,
          230,
          268,
          266,
          55,
          168,
          106,
          75,
          193,
          266,
          223,
          27,
          49,
          26,
          282,
          25,
          264,
          299,
          19,
          26,
          0,
          258,
          277,
          117,
          86,
          93,
          176,
          183,
          270,
          11,
          262,
          42,
          61,
          265,
      ]

      self.assertListEqual(__lowerCAmelCase ,					self.big_tokenizer.encode(__lowerCAmelCase       )       )


    @require_torch
    @slow
    def   lowerCAmelCase_	(       self						:	str       ):
      import torch

      from transformers import ReformerConfig, ReformerModel

      # Build sequence
      _UpperCAmelCase    			=   list(self.big_tokenizer.get_vocab().keys()       )[:10]
      _UpperCAmelCase    			=   """ """.join(__lowerCAmelCase       )
      _UpperCAmelCase    			=   self.big_tokenizer.encode_plus(__lowerCAmelCase ,					return_tensors="""pt"""       )
      _UpperCAmelCase    			=   self.big_tokenizer.batch_encode_plus([sequence, sequence] ,					return_tensors="""pt"""       )

      _UpperCAmelCase    			=   ReformerConfig()
      # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
      _UpperCAmelCase    			=   encoded_sequence["""input_ids"""].shape
      _UpperCAmelCase    			=   ReformerModel(__lowerCAmelCase       )

      # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
      assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

      with torch.no_grad():
        model(**__lowerCAmelCase       )
        model(**__lowerCAmelCase       )


    @slow
    def   lowerCAmelCase_	(       self						:	List[str]       ):
      # fmt: off
      _UpperCAmelCase    			=   {"""input_ids""": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], """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]]}  # noqa: E501
      # fmt: on

      # This tokenizer does not know some characters like ")".
      # That is the reason why we use very simple texts here.
      # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
      _UpperCAmelCase    			=   [
          """This is a very simple sentence.""",
          """The quick brown fox jumps over the lazy dog.""",
      ]

      self.tokenizer_integration_test_util(
          expected_encoding=__lowerCAmelCase ,					model_name="""google/reformer-crime-and-punishment""" ,					revision="""0e6c3decb8211d49bf881013425dc8b0448b3f5a""" ,					padding=__lowerCAmelCase ,					sequences=__lowerCAmelCase ,					)

"""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()
