



"""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 			_a (					UpperCamelCase__			,							unittest.TestCase):
   """simple docstring"""
   UpperCamelCase__			      =	RobertaTokenizer
   UpperCamelCase__			      =	RobertaTokenizerFast
   UpperCamelCase__			      =	True
   UpperCamelCase__			      =	{"""cls_token""": """<s>"""}



   def  lowercase__						(		self     :    List[str]   )->Dict:
       super().setUp()

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

       _UpperCAmelCase					=    os.path.join(self.tmpdirname				,   VOCAB_FILES_NAMES['''vocab_file''']   )
       _UpperCAmelCase					=    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     :    List[str]				,   **__UpperCamelCase     :    List[Any]   )->List[str]:
       kwargs.update(self.special_tokens_map   )
       return self.tokenizer_class.from_pretrained(self.tmpdirname				,   **__A   )



   def  lowercase__						(		self     :    Union[str, Any]				,   **__UpperCamelCase     :    int   )->List[Any]:
       kwargs.update(self.special_tokens_map   )
       return RobertaTokenizerFast.from_pretrained(self.tmpdirname				,   **__A   )



   def  lowercase__						(		self     :    str				,   __UpperCamelCase     :    Dict   )->Any:
       _UpperCAmelCase					=    '''lower newer'''
       _UpperCAmelCase					=    '''lower newer'''
       return input_text, output_text



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

       _UpperCAmelCase					=    tokens + [tokenizer.unk_token]
       _UpperCAmelCase					=    [0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(__A   )				,   __A   )



   def  lowercase__						(		self     :    Optional[Any]   )->Dict:
       _UpperCAmelCase					=    self.get_tokenizer()

       self.assertListEqual(tokenizer.encode('''Hello world!'''				,   add_special_tokens=__A   )				,   [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=__A   )				,   [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  lowercase__						(		self     :    List[Any]   )->Any:
       _UpperCAmelCase					=    self.tokenizer_class.from_pretrained('''roberta-base'''   )

       _UpperCAmelCase					=    tokenizer.encode('''sequence builders'''				,   add_special_tokens=__A   )
       _UpperCAmelCase					=    tokenizer.encode('''multi-sequence build'''				,   add_special_tokens=__A   )

       _UpperCAmelCase					=    tokenizer.encode(
           '''sequence builders'''				,   add_special_tokens=__A				,   add_prefix_space=__A   )
       _UpperCAmelCase					=    tokenizer.encode(
           '''sequence builders'''				,   '''multi-sequence build'''				,   add_special_tokens=__A				,   add_prefix_space=__A   )

       _UpperCAmelCase					=    tokenizer.build_inputs_with_special_tokens(__A   )
       _UpperCAmelCase					=    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     :    Any   )->Tuple:
       _UpperCAmelCase					=    self.get_tokenizer()

       _UpperCAmelCase					=    '''Encode this sequence.'''
       _UpperCAmelCase					=    tokenizer.byte_encoder[''' '''.encode('''utf-8'''   )[0]]

       # Testing encoder arguments
       _UpperCAmelCase					=    tokenizer.encode(__A				,   add_special_tokens=__A				,   add_prefix_space=__A   )
       _UpperCAmelCase					=    tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
       self.assertNotEqual(__A				,   __A   )

       _UpperCAmelCase					=    tokenizer.encode(__A				,   add_special_tokens=__A				,   add_prefix_space=__A   )
       _UpperCAmelCase					=    tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
       self.assertEqual(__A				,   __A   )

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

       # Testing spaces after special tokens
       _UpperCAmelCase					=    '''<mask>'''
       tokenizer.add_special_tokens(
           {'''mask_token''': AddedToken(__A				,   lstrip=__A				,   rstrip=__A   )}   )  # mask token has a left space
       _UpperCAmelCase					=    tokenizer.convert_tokens_to_ids(__A   )

       _UpperCAmelCase					=    '''Encode <mask> sequence'''
       _UpperCAmelCase					=    '''Encode <mask>sequence'''

       _UpperCAmelCase					=    tokenizer.encode(__A   )
       _UpperCAmelCase					=    encoded.index(__A   )
       _UpperCAmelCase					=    tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
       self.assertEqual(__A				,   __A   )

       _UpperCAmelCase					=    tokenizer.encode(__A   )
       _UpperCAmelCase					=    encoded.index(__A   )
       _UpperCAmelCase					=    tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
       self.assertNotEqual(__A				,   __A   )



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



   def  lowercase__						(		self     :    Any   )->Optional[Any]:



       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(__A				,   **__A   )
               _UpperCAmelCase					=    self.tokenizer_class.from_pretrained(__A				,   **__A   )
               _UpperCAmelCase					=    '''A, <mask> AllenNLP sentence.'''
               _UpperCAmelCase					=    tokenizer_r.encode_plus(__A				,   add_special_tokens=__A				,   return_token_type_ids=__A   )
               _UpperCAmelCase					=    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''']   )				,   )

               _UpperCAmelCase					=    tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']   )
               _UpperCAmelCase					=    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(
                   __A				,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']   )
               self.assertSequenceEqual(
                   __A				,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']   )



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



       for trim_offsets, add_prefix_space in itertools.product([True, False]				,   repeat=2   ):
           _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )

           _UpperCAmelCase					=    json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
           _UpperCAmelCase					=    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     :    Optional[int]   )->Any:



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

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    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)),
               # )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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   ))				,   )

               _UpperCAmelCase					=    self.rust_tokenizer_class.from_pretrained(
                   __A				,   use_fast=__A				,   add_prefix_space=__A				,   trim_offsets=__A   )
               _UpperCAmelCase					=    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  lowercase	(      _SCREAMING_SNAKE_CASE   :						int					,     _SCREAMING_SNAKE_CASE   :						int				):






				'''simple docstring'''



				if a < 0 or b < 0:
								raise ValueError('''the value of both inputs must be positive'''				)

				_UpperCAmelCase					=    str(bin(_SCREAMING_SNAKE_CASE				)				)[2:]  # remove the leading "0b"
				_UpperCAmelCase					=    str(bin(_SCREAMING_SNAKE_CASE				)				)[2:]  # remove the leading "0b"

				_UpperCAmelCase					=    max(len(_SCREAMING_SNAKE_CASE				)					,     len(_SCREAMING_SNAKE_CASE				)				)

				return "0b" + "".join(
				    str(int(char_a == '''1''' and char_b == '''1'''				)				)
				    for char_a, char_b in zip(a_binary.zfill(_SCREAMING_SNAKE_CASE				)					,     b_binary.zfill(_SCREAMING_SNAKE_CASE				)				)				)


if __name__ == "__main__":
					import doctest

					doctest.testmod()



