


'''simple docstring'''






import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class    __snake_case       (   __a	,unittest.TestCase):







    """simple docstring"""



    lowercase    =					RobertaTokenizer
    lowercase    =					RobertaTokenizerFast
    lowercase    =					True
    lowercase    =					{'cls_token': '<s>'}

    def __lowercase   (   self    :  int		)   ->  int:
      super().setUp()

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

      lowerCAmelCase_			:      Dict			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]		)
      lowerCAmelCase_			:      str			=   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(_A		) + """\n"""		)
      with open(self.merges_file    ,						"""w"""    ,						encoding="""utf-8"""		) as fp:
        fp.write("""\n""".join(_A		)		)

    def __lowercase   (   self    :  Optional[int]    ,						**lowerCamelCase    :  Optional[int]		)   ->  str:
      kwargs.update(self.special_tokens_map		)
      return self.tokenizer_class.from_pretrained(self.tmpdirname    ,						**_A		)

    def __lowercase   (   self    :  List[Any]    ,						**lowerCamelCase    :  List[Any]		)   ->  int:
      kwargs.update(self.special_tokens_map		)
      return RobertaTokenizerFast.from_pretrained(self.tmpdirname    ,						**_A		)

    def __lowercase   (   self    :  str    ,						lowerCamelCase    :  Optional[int]		)   ->  int:
      lowerCAmelCase_			:      int			=   '''lower newer'''
      lowerCAmelCase_			:      Tuple			=   '''lower newer'''
      return input_text, output_text

    def __lowercase   (   self    :  List[Any]		)   ->  List[str]:
      lowerCAmelCase_			:      Tuple			=   self.tokenizer_class(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map		)
      lowerCAmelCase_			:      int			=   '''lower newer'''
      lowerCAmelCase_			:      List[str]			=   ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
      lowerCAmelCase_			:      int			=   tokenizer.tokenize(_A		)  # , add_prefix_space=True)
      self.assertListEqual(_A    ,						_A		)

      lowerCAmelCase_			:      List[Any]			=   tokens + [tokenizer.unk_token]
      lowerCAmelCase_			:      int			=   [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(_A		)    ,						_A		)

    def __lowercase   (   self    :  Tuple		)   ->  Dict:
      lowerCAmelCase_			:      Optional[Any]			=   self.get_tokenizer()

      self.assertListEqual(tokenizer.encode("""Hello world!"""    ,						add_special_tokens=_A		)    ,						[0, 3_14_14, 2_32, 3_28, 2]		)
      self.assertListEqual(
          tokenizer.encode("""Hello world! cécé herlolip 418"""    ,						add_special_tokens=_A		)    ,						[0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]    ,						)

    @slow
    def __lowercase   (   self    :  List[Any]		)   ->  Optional[int]:
      lowerCAmelCase_			:      List[Any]			=   self.tokenizer_class.from_pretrained("""roberta-base"""		)

      lowerCAmelCase_			:      Tuple			=   tokenizer.encode("""sequence builders"""    ,						add_special_tokens=_A		)
      lowerCAmelCase_			:      int			=   tokenizer.encode("""multi-sequence build"""    ,						add_special_tokens=_A		)

      lowerCAmelCase_			:      Any			=   tokenizer.encode(
          """sequence builders"""    ,						add_special_tokens=_A    ,						add_prefix_space=_A		)
      lowerCAmelCase_			:      List[str]			=   tokenizer.encode(
          """sequence builders"""    ,						"""multi-sequence build"""    ,						add_special_tokens=_A    ,						add_prefix_space=_A		)

      lowerCAmelCase_			:      List[Any]			=   tokenizer.build_inputs_with_special_tokens(_A		)
      lowerCAmelCase_			:      Dict			=   tokenizer.build_inputs_with_special_tokens(_A    ,						_A		)

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode

    def __lowercase   (   self    :  Optional[Any]		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Optional[int]			=   self.get_tokenizer()

      lowerCAmelCase_			:      int			=   '''Encode this sequence.'''
      lowerCAmelCase_			:      List[str]			=   tokenizer.byte_encoder[''' '''.encode("""utf-8"""		)[0]]

      # Testing encoder arguments
      lowerCAmelCase_			:      Optional[int]			=   tokenizer.encode(_A    ,						add_special_tokens=_A    ,						add_prefix_space=_A		)
      lowerCAmelCase_			:      str			=   tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
      self.assertNotEqual(_A    ,						_A		)

      lowerCAmelCase_			:      Dict			=   tokenizer.encode(_A    ,						add_special_tokens=_A    ,						add_prefix_space=_A		)
      lowerCAmelCase_			:      Dict			=   tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
      self.assertEqual(_A    ,						_A		)

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

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

      lowerCAmelCase_			:      Optional[Any]			=   '''Encode <mask> sequence'''
      lowerCAmelCase_			:      str			=   '''Encode <mask>sequence'''

      lowerCAmelCase_			:      Union[str, Any]			=   tokenizer.encode(_A		)
      lowerCAmelCase_			:      Optional[int]			=   encoded.index(_A		)
      lowerCAmelCase_			:      str			=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
      self.assertEqual(_A    ,						_A		)

      lowerCAmelCase_			:      List[Any]			=   tokenizer.encode(_A		)
      lowerCAmelCase_			:      str			=   encoded.index(_A		)
      lowerCAmelCase_			:      Tuple			=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
      self.assertNotEqual(_A    ,						_A		)

    def __lowercase   (   self    :  Any		)   ->  List[str]:
      pass

    def __lowercase   (   self    :  str		)   ->  List[Any]:


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

          # 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_			:      Dict			=   tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]		)
          lowerCAmelCase_			:      List[str]			=   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_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]		)
          self.assertSequenceEqual(tokens_r["""input_ids"""]    ,						[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]		)

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

    def __lowercase   (   self    :  Optional[Any]		)   ->  Tuple:


      for trim_offsets, add_prefix_space in itertools.product([True, False]    ,						repeat=2		):
        lowerCAmelCase_			:      Optional[int]			=   self.rust_tokenizer_class.from_pretrained(
            self.tmpdirname    ,						use_fast=_A    ,						add_prefix_space=_A    ,						trim_offsets=_A		)

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

        self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]    ,						_A		)

        self.assertEqual(post_processor_state["""add_prefix_space"""]    ,						_A		)
        self.assertEqual(post_processor_state["""trim_offsets"""]    ,						_A		)





    def __lowercase   (   self    :  Dict		)   ->  Tuple:


      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'		):
          lowerCAmelCase_			:      Optional[int]			=   '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
          lowerCAmelCase_			:      str			=   F'{text_of_1_token} {text_of_1_token}'

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

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

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

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

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

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

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







'''simple docstring'''
def 					a__       (					lowerCAmelCase__						)    ->	int:
    if a < 0:
        raise ValueError('''Input value must be a positive integer'''						)
    elif isinstance(lowerCAmelCase__  ,					lowerCAmelCase__						):
        raise TypeError('''Input value must be a \'int\' type'''						)
    return bin(lowerCAmelCase__						).count('''1'''						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
