

import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							A_ (		lowerCAmelCase_							,	unittest.TestCase					):
     _lowercase			:     Union[str, Any]								=	LongformerTokenizer
     _lowercase			:     Union[str, Any]								=	True
     _lowercase			:     Union[str, Any]								=	LongformerTokenizerFast
     _lowercase			:     Dict								=	True


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

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      __lowerCAmelCase:   List[str]   	=      [
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
      ]
      __lowerCAmelCase:   Tuple   	=      dict(zip(__lowerCAmelCase			,  range(len(__lowerCAmelCase					)					)					)					)
      __lowerCAmelCase:   Dict   	=      ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      __lowerCAmelCase:   Union[str, Any]   	=      {'unk_token': '<unk>'}

      __lowerCAmelCase:   Any   	=      os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['vocab_file']					)
      __lowerCAmelCase:   Any   	=      os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['merges_file']					)
      with open(self.vocab_file			,  'w'			,  encoding='utf-8'					) as fp:
       fp.write(json.dumps(__lowerCAmelCase					) + '\n'					)
      with open(self.merges_file			,  'w'			,  encoding='utf-8'					) as fp:
       fp.write('\n'.join(__lowerCAmelCase					)					)


     def   UpperCAmelCase  (							self			:		Any			,  **UpperCAmelCase			:		List[str]					)							->	Tuple:
      kwargs.update(self.special_tokens_map					)
      return self.tokenizer_class.from_pretrained(self.tmpdirname			,  **__lowerCAmelCase					)


     def   UpperCAmelCase  (							self			:		Optional[Any]			,  **UpperCAmelCase			:		Tuple					)							->	Optional[Any]:
      kwargs.update(self.special_tokens_map					)
      return self.rust_tokenizer_class.from_pretrained(self.tmpdirname			,  **__lowerCAmelCase					)


     def   UpperCAmelCase  (							self			:		List[str]			,  UpperCAmelCase			:		List[str]					)							->	Dict:
      __lowerCAmelCase:   List[str]   	=      'lower newer'
      __lowerCAmelCase:   List[str]   	=      'lower newer'
      return input_text, output_text


     def   UpperCAmelCase  (							self			:		Optional[Any]					)							->	Optional[Any]:
      __lowerCAmelCase:   List[Any]   	=      self.tokenizer_class(self.vocab_file			,  self.merges_file			,  **self.special_tokens_map					)
      __lowerCAmelCase:   Union[str, Any]   	=      'lower newer'
      __lowerCAmelCase:   Union[str, Any]   	=      ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
      __lowerCAmelCase:   Dict   	=      tokenizer.tokenize(__lowerCAmelCase					)  # , add_prefix_space=True)
      self.assertListEqual(__lowerCAmelCase			,  __lowerCAmelCase					)

      __lowerCAmelCase:   List[str]   	=      tokens + [tokenizer.unk_token]
      __lowerCAmelCase:   Union[str, Any]   	=      [0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase					)			,  __lowerCAmelCase					)


     def   UpperCAmelCase  (							self			:		Union[str, Any]					)							->	Optional[Any]:
      __lowerCAmelCase:   Tuple   	=      self.get_tokenizer()

      self.assertListEqual(tokenizer.encode('Hello world!'			,  add_special_tokens=__lowerCAmelCase					)			,  [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]					)
      self.assertListEqual(
          tokenizer.encode('Hello world! cécé herlolip 418'			,  add_special_tokens=__lowerCAmelCase					)			,  [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]			,  )


     @slow
     def   UpperCAmelCase  (							self			:		Dict					)							->	str:
      __lowerCAmelCase:   Union[str, Any]   	=      self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'					)

      __lowerCAmelCase:   List[Any]   	=      tokenizer.encode('sequence builders'			,  add_special_tokens=__lowerCAmelCase					)
      __lowerCAmelCase:   Union[str, Any]   	=      tokenizer.encode('multi-sequence build'			,  add_special_tokens=__lowerCAmelCase					)

      __lowerCAmelCase:   Optional[Any]   	=      tokenizer.encode(
          'sequence builders'			,  add_special_tokens=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase					)
      __lowerCAmelCase:   Dict   	=      tokenizer.encode(
          'sequence builders'			,  'multi-sequence build'			,  add_special_tokens=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase					)

      __lowerCAmelCase:   List[Any]   	=      tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase					)
      __lowerCAmelCase:   int   	=      tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase			,  __lowerCAmelCase					)

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode


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

      __lowerCAmelCase:   Optional[Any]   	=      'Encode this sequence.'
      __lowerCAmelCase:   List[str]   	=      tokenizer.byte_encoder[' '.encode('utf-8'					)[0]]

      # Testing encoder arguments
      __lowerCAmelCase:   Union[str, Any]   	=      tokenizer.encode(__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase					)
      __lowerCAmelCase:   Tuple   	=      tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
      self.assertNotEqual(__lowerCAmelCase			,  __lowerCAmelCase					)

      __lowerCAmelCase:   int   	=      tokenizer.encode(__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase					)
      __lowerCAmelCase:   Tuple   	=      tokenizer.convert_ids_to_tokens(encoded[0]					)[0]
      self.assertEqual(__lowerCAmelCase			,  __lowerCAmelCase					)

      tokenizer.add_special_tokens({'bos_token': '<s>'}					)
      __lowerCAmelCase:   Tuple   	=      tokenizer.encode(__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
      __lowerCAmelCase:   Optional[Any]   	=      tokenizer.convert_ids_to_tokens(encoded[1]					)[0]
      self.assertNotEqual(__lowerCAmelCase			,  __lowerCAmelCase					)

      # Testing spaces after special tokens
      __lowerCAmelCase:   Union[str, Any]   	=      '<mask>'
      tokenizer.add_special_tokens(
          {'mask_token': AddedToken(__lowerCAmelCase			,  lstrip=__lowerCAmelCase			,  rstrip=__lowerCAmelCase					)}					)  # mask token has a left space
      __lowerCAmelCase:   Optional[int]   	=      tokenizer.convert_tokens_to_ids(__lowerCAmelCase					)

      __lowerCAmelCase:   Dict   	=      'Encode <mask> sequence'
      __lowerCAmelCase:   str   	=      'Encode <mask>sequence'

      __lowerCAmelCase:   Optional[Any]   	=      tokenizer.encode(__lowerCAmelCase					)
      __lowerCAmelCase:   List[str]   	=      encoded.index(__lowerCAmelCase					)
      __lowerCAmelCase:   List[Any]   	=      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
      self.assertEqual(__lowerCAmelCase			,  __lowerCAmelCase					)

      __lowerCAmelCase:   Dict   	=      tokenizer.encode(__lowerCAmelCase					)
      __lowerCAmelCase:   int   	=      encoded.index(__lowerCAmelCase					)
      __lowerCAmelCase:   List[str]   	=      tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]					)[0]
      self.assertNotEqual(__lowerCAmelCase			,  __lowerCAmelCase					)


     def   UpperCAmelCase  (							self			:		Optional[Any]					)							->	Union[str, Any]:
      pass


     def   UpperCAmelCase  (							self			:		Union[str, Any]					)							->	Dict:
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
        __lowerCAmelCase:   List[str]   	=      self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase			,  **__lowerCAmelCase					)
        __lowerCAmelCase:   Dict   	=      self.tokenizer_class.from_pretrained(__lowerCAmelCase			,  **__lowerCAmelCase					)
        __lowerCAmelCase:   int   	=      'A, <mask> AllenNLP sentence.'
        __lowerCAmelCase:   Any   	=      tokenizer_r.encode_plus(__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase			,  return_token_type_ids=__lowerCAmelCase					)
        __lowerCAmelCase:   List[Any]   	=      tokenizer_p.encode_plus(__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase			,  return_token_type_ids=__lowerCAmelCase					)

        # token_type_ids should put 0 everywhere
        self.assertEqual(sum(tokens_r['token_type_ids']					)			,  sum(tokens_p['token_type_ids']					)					)

        # attention_mask should put 1 everywhere, so sum over length should be 1
        self.assertEqual(
            sum(tokens_r['attention_mask']					) / len(tokens_r['attention_mask']					)			,  sum(tokens_p['attention_mask']					) / len(tokens_p['attention_mask']					)			,  )

        __lowerCAmelCase:   List[Any]   	=      tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']					)
        __lowerCAmelCase:   Optional[int]   	=      tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']					)

        # Rust correctly handles the space before the mask while python doesnt
        self.assertSequenceEqual(tokens_p['input_ids']			,  [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]					)
        self.assertSequenceEqual(tokens_r['input_ids']			,  [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]					)

        self.assertSequenceEqual(
            __lowerCAmelCase			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']					)
        self.assertSequenceEqual(
            __lowerCAmelCase			,  ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']					)


     def   UpperCAmelCase  (							self			:		List[str]					)							->	Dict:
      for trim_offsets, add_prefix_space in itertools.product([True, False]			,  repeat=2					):
       __lowerCAmelCase:   int   	=      self.rust_tokenizer_class.from_pretrained(
           self.tmpdirname			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)

       __lowerCAmelCase:   List[Any]   	=      json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()					)
       __lowerCAmelCase:   Any   	=      json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()					)

       self.assertEqual(pre_tokenizer_state['add_prefix_space']			,  __lowerCAmelCase					)

       self.assertEqual(post_processor_state['add_prefix_space']			,  __lowerCAmelCase					)
       self.assertEqual(post_processor_state['trim_offsets']			,  __lowerCAmelCase					)


     def   UpperCAmelCase  (							self			:		Optional[int]					)							->	Tuple:
      # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
      # `trim_offsets`
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
        __lowerCAmelCase:   Optional[Any]   	=      'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
        __lowerCAmelCase:   int   	=      F'''{text_of_1_token} {text_of_1_token}'''

        __lowerCAmelCase:   Tuple   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   Any   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__lowerCAmelCase					) + 1, len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   List[str]   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   Any   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__lowerCAmelCase					) + 1, len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   str   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   Tuple   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__lowerCAmelCase					), len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   Tuple   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   Optional[Any]   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (len(__lowerCAmelCase					), len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   Any   	=      F''' {text}'''

        # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
        #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
        # )
        # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
        # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
        # self.assertEqual(
        #     encoding.offset_mapping[1],
        #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
        # )

        __lowerCAmelCase:   Optional[int]   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   List[Any]   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (1, 1 + len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__lowerCAmelCase					) + 1, 1 + len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   Dict   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   str   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, 1 + len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__lowerCAmelCase					), 1 + len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )

        __lowerCAmelCase:   Any   	=      self.rust_tokenizer_class.from_pretrained(
            __lowerCAmelCase			,  use_fast=__lowerCAmelCase			,  add_prefix_space=__lowerCAmelCase			,  trim_offsets=__lowerCAmelCase					)
        __lowerCAmelCase:   Dict   	=      tokenizer_r(__lowerCAmelCase			,  return_offsets_mapping=__lowerCAmelCase			,  add_special_tokens=__lowerCAmelCase					)
        self.assertEqual(encoding.offset_mapping[0]			,  (0, 1 + len(__lowerCAmelCase					))					)
        self.assertEqual(
            encoding.offset_mapping[1]			,  (1 + len(__lowerCAmelCase					), 1 + len(__lowerCAmelCase					) + 1 + len(__lowerCAmelCase					))			,  )






"""simple docstring"""


UpperCAmelCase__     						=  {
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
UpperCAmelCase__     						=  {
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 1_2,
    """Pm""": 1_5,
    """Em""": 1_8,
    """Zm""": 2_1,
    """Ym""": 2_4,
}






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					from_type.lower().strip("""s"""						)
  _UpperCAmelCase         =					to_type.lower().strip("""s"""						)

  _UpperCAmelCase         =					UNIT_SYMBOL.get(lowercase      ,lowercase						)
  _UpperCAmelCase         =					UNIT_SYMBOL.get(lowercase      ,lowercase						)

  if from_sanitized not in METRIC_CONVERSION:
    _UpperCAmelCase         =					(
        f'''Invalid \'from_type\' value: {from_type!r}.\n'''
        f'''Conversion abbreviations are: {", ".join(lowercase						)}'''
    )
    raise ValueError(lowercase						)
  if to_sanitized not in METRIC_CONVERSION:
    _UpperCAmelCase         =					(
        f'''Invalid \'to_type\' value: {to_type!r}.\n'''
        f'''Conversion abbreviations are: {", ".join(lowercase						)}'''
    )
    raise ValueError(lowercase						)
  _UpperCAmelCase         =					METRIC_CONVERSION[from_sanitized]
  _UpperCAmelCase         =					METRIC_CONVERSION[to_sanitized]
  _UpperCAmelCase         =					1

  if from_exponent > to_exponent:
    _UpperCAmelCase         =					from_exponent - to_exponent
  else:
    _UpperCAmelCase         =					-(to_exponent - from_exponent)

  return value * pow(10      ,lowercase						)


if __name__ == "__main__":
    from doctest import testmod

    testmod()
