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_			(						__lowerCamelCase	,					unittest.TestCase						):






 '''simple docstring'''






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




 def 		__snake_case						(      self :  Union[str, Any]):







        '''simple docstring'''



        super().setUp()

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

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




 def 		__snake_case						(      self :  Optional[int]      ,   **lowercase__ :  Union[str, Any]):







        '''simple docstring'''



        kwargs.update(self.special_tokens_map)
        return self.tokenizer_class.from_pretrained(self.tmpdirname      ,   **UpperCamelCase_)




 def 		__snake_case						(      self :  Optional[Any]      ,   **lowercase__ :  List[Any]):







        '''simple docstring'''



        kwargs.update(self.special_tokens_map)
        return RobertaTokenizerFast.from_pretrained(self.tmpdirname      ,   **UpperCamelCase_)




 def 		__snake_case						(      self :  List[str]      ,   lowercase__ :  Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__					     = 'lower newer'
        lowerCAmelCase__					     = 'lower newer'
        return input_text, output_text




 def 		__snake_case						(      self :  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.tokenizer_class(self.vocab_file      ,   self.merges_file      ,   **self.special_tokens_map)
        lowerCAmelCase__					     = 'lower newer'
        lowerCAmelCase__					     = ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
        lowerCAmelCase__					     = tokenizer.tokenize(UpperCamelCase_)  # , add_prefix_space=True)
        self.assertListEqual(UpperCamelCase_      ,   UpperCamelCase_)

        lowerCAmelCase__					     = tokens + [tokenizer.unk_token]
        lowerCAmelCase__					     = [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_)      ,   UpperCamelCase_)




 def 		__snake_case						(      self :  List[Any]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_tokenizer()

        self.assertListEqual(tokenizer.encode('Hello world!'      ,   add_special_tokens=UpperCamelCase_)      ,   [0, 31_414, 232, 328, 2])
        self.assertListEqual(
            tokenizer.encode('Hello world! cécé herlolip 418'      ,   add_special_tokens=UpperCamelCase_)      ,   [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]      ,   )




 @slow
 def 		__snake_case						(      self :  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.tokenizer_class.from_pretrained('roberta-base')

        lowerCAmelCase__					     = tokenizer.encode('sequence builders'      ,   add_special_tokens=UpperCamelCase_)
        lowerCAmelCase__					     = tokenizer.encode('multi-sequence build'      ,   add_special_tokens=UpperCamelCase_)

        lowerCAmelCase__					     = tokenizer.encode(
            'sequence builders'      ,   add_special_tokens=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_)
        lowerCAmelCase__					     = tokenizer.encode(
            'sequence builders'      ,   'multi-sequence build'      ,   add_special_tokens=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_)

        lowerCAmelCase__					     = tokenizer.build_inputs_with_special_tokens(UpperCamelCase_)
        lowerCAmelCase__					     = tokenizer.build_inputs_with_special_tokens(UpperCamelCase_      ,   UpperCamelCase_)

        assert encoded_sentence == encoded_text_from_decode
        assert encoded_pair == encoded_pair_from_decode




 def 		__snake_case						(      self :  Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__					     = self.get_tokenizer()

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

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

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

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

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

        lowerCAmelCase__					     = 'Encode <mask> sequence'
        lowerCAmelCase__					     = 'Encode <mask>sequence'

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

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




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



        pass




 def 		__snake_case						(      self :  Any):







        '''simple docstring'''



        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(UpperCamelCase_      ,   **UpperCamelCase_)
                      lowerCAmelCase__					     = self.tokenizer_class.from_pretrained(UpperCamelCase_      ,   **UpperCamelCase_)
                      lowerCAmelCase__					     = 'A, <mask> AllenNLP sentence.'
                      lowerCAmelCase__					     = tokenizer_r.encode_plus(UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_      ,   return_token_type_ids=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_p.encode_plus(UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_      ,   return_token_type_ids=UpperCamelCase_)

                      # 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__					     = tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'])
                      lowerCAmelCase__					     = 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, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2])
                      self.assertSequenceEqual(tokens_r['input_ids']      ,   [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2])

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




 def 		__snake_case						(      self :  int):







        '''simple docstring'''



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

               lowerCAmelCase__					     = json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
               lowerCAmelCase__					     = json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

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

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




 def 		__snake_case						(      self :  List[str]):







        '''simple docstring'''



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

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (len(UpperCamelCase_) + 1, len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (len(UpperCamelCase_) + 1, len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (len(UpperCamelCase_), len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (len(UpperCamelCase_), len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = 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__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (1, 1 + len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (1 + len(UpperCamelCase_) + 1, 1 + len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, 1 + len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (1 + len(UpperCamelCase_), 1 + len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )

                      lowerCAmelCase__					     = self.rust_tokenizer_class.from_pretrained(
                          UpperCamelCase_      ,   use_fast=UpperCamelCase_      ,   add_prefix_space=UpperCamelCase_      ,   trim_offsets=UpperCamelCase_)
                      lowerCAmelCase__					     = tokenizer_r(UpperCamelCase_      ,   return_offsets_mapping=UpperCamelCase_      ,   add_special_tokens=UpperCamelCase_)
                      self.assertEqual(encoding.offset_mapping[0]      ,   (0, 1 + len(UpperCamelCase_)))
                      self.assertEqual(
                          encoding.offset_mapping[1]      ,   (1 + len(UpperCamelCase_), 1 + len(UpperCamelCase_) + 1 + len(UpperCamelCase_))      ,   )
lowerCAmelCase__     						=			'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure the supplied data is a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = F"""a bytes-like object is required, not '{data.__class__.__name__}'"""
              raise TypeError(lowerCAmelCase__     )

       lowerCAmelCase__					     = ''.join(bin(lowerCAmelCase__     )[2:].zfill(8     ) for byte in data     )

       lowerCAmelCase__					     = len(lowerCAmelCase__     ) % 6 != 0

       if padding_needed:
              # The padding that will be added later
              lowerCAmelCase__					     = b'=' * ((6 - len(lowerCAmelCase__     ) % 6) // 2)

              # Append binary_stream with arbitrary binary digits (0's by default) to make its
              # length a multiple of 6.
              binary_stream += "0" * (6 - len(lowerCAmelCase__     ) % 6)
       else:
              lowerCAmelCase__					     = b''

       # Encode every 6 binary digits to their corresponding Base64 character
       return (
           "".join(
               B64_CHARSET[int(binary_stream[index : index + 6]     ,  2     )]
               for index in range(0     ,  len(lowerCAmelCase__     )     ,  6     )     ).encode()
           + padding
       )






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure encoded_data is either a string or a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ) and not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = (
                  'argument should be a bytes-like object or ASCII string, '
                  F"""not '{encoded_data.__class__.__name__}'"""
              )
              raise TypeError(lowerCAmelCase__     )

       # In case encoded_data is a bytes-like object, make sure it contains only
       # ASCII characters so we convert it to a string object
       if isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              try:
                     lowerCAmelCase__					     = encoded_data.decode('utf-8'     )
              except UnicodeDecodeError:
                     raise ValueError('base64 encoded data should only contain ASCII characters'     )

       lowerCAmelCase__					     = encoded_data.count('='     )

       # Check if the encoded string contains non base64 characters
       if padding:
              assert all(
                  char in B64_CHARSET for char in encoded_data[:-padding]     ), "Invalid base64 character(s) found."
       else:
              assert all(
                  char in B64_CHARSET for char in encoded_data     ), "Invalid base64 character(s) found."

       # Check the padding
       assert len(lowerCAmelCase__     ) % 4 == 0 and padding < 3, "Incorrect padding"

       if padding:
              # Remove padding if there is one
              lowerCAmelCase__					     = encoded_data[:-padding]

              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )[: -padding * 2]
       else:
              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )

       lowerCAmelCase__					     = [
           int(binary_stream[index : index + 8]     ,  2     )
           for index in range(0     ,  len(lowerCAmelCase__     )     ,  8     )
       ]

       return bytes(lowerCAmelCase__     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
