"""simple docstring"""


import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_:					Dict     =					logging.get_logger(__name__)

lowerCAmelCase_:					Tuple     =					{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase_:					Dict     =					{
    "vocab_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json"},
    "merges_file": {"ctrl": "https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt"},
}

lowerCAmelCase_:					List[str]     =					{
    "ctrl": 2_5_6,
}

lowerCAmelCase_:					Tuple     =					{
    "Pregnancy": 1_6_8_6_2_9,
    "Christianity": 7_6_7_5,
    "Explain": 1_0_6_4_2_3,
    "Fitness": 6_3_4_4_0,
    "Saving": 6_3_1_6_3,
    "Ask": 2_7_1_7_1,
    "Ass": 9_5_9_8_5,
    "Joke": 1_6_3_5_0_9,
    "Questions": 4_5_6_2_2,
    "Thoughts": 4_9_6_0_5,
    "Retail": 5_2_3_4_2,
    "Feminism": 1_6_4_3_3_8,
    "Writing": 1_1_9_9_2,
    "Atheism": 1_9_2_2_6_3,
    "Netflix": 4_8_6_1_6,
    "Computing": 3_9_6_3_9,
    "Opinion": 4_3_2_1_3,
    "Alone": 4_4_9_6_7,
    "Funny": 5_8_9_1_7,
    "Gaming": 4_0_3_5_8,
    "Human": 4_0_8_8,
    "India": 1_3_3_1,
    "Joker": 7_7_1_3_8,
    "Diet": 3_6_2_0_6,
    "Legal": 1_1_8_5_9,
    "Norman": 4_9_3_9,
    "Tip": 7_2_6_8_9,
    "Weight": 5_2_3_4_3,
    "Movies": 4_6_2_7_3,
    "Running": 2_3_4_2_5,
    "Science": 2_0_9_0,
    "Horror": 3_7_7_9_3,
    "Confession": 6_0_5_7_2,
    "Finance": 1_2_2_5_0,
    "Politics": 1_6_3_6_0,
    "Scary": 1_9_1_9_8_5,
    "Support": 1_2_6_5_4,
    "Technologies": 3_2_5_1_6,
    "Teenage": 6_6_1_6_0,
    "Event": 3_2_7_6_9,
    "Learned": 6_7_4_6_0,
    "Notion": 1_8_2_7_7_0,
    "Wikipedia": 3_7_5_8_3,
    "Books": 6_6_6_5,
    "Extract": 7_6_0_5_0,
    "Confessions": 1_0_2_7_0_1,
    "Conspiracy": 7_5_9_3_2,
    "Links": 6_3_6_7_4,
    "Narcissus": 1_5_0_4_2_5,
    "Relationship": 5_4_7_6_6,
    "Relationships": 1_3_4_7_9_6,
    "Reviews": 4_1_6_7_1,
    "News": 4_2_5_6,
    "Translation": 2_6_8_2_0,
    "multilingual": 1_2_8_4_0_6,
}







def 					__a   (		A      ):






     '''simple docstring'''



     lowercase__				 =							set()
     lowercase__				 =							word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)      )
          lowercase__				 =							char

     lowercase__				 =							set(A      )
     return pairs






class    a__    (   _a	):
   snake_case_							=      VOCAB_FILES_NAMES
   snake_case_							=      PRETRAINED_VOCAB_FILES_MAP
   snake_case_							=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_							=      CONTROL_CODES


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase="<unk>",				**_UpperCAmelCase  ):
        '''simple docstring'''



        super().__init__(unk_token=_UpperCAmelCase,				**_UpperCAmelCase  )

        with open(_UpperCAmelCase,				encoding="utf-8"  ) as vocab_handle:
             lowercase__				 =							json.load(_UpperCAmelCase  )
        lowercase__				 =							{v: k for k, v in self.encoder.items()}
        with open(_UpperCAmelCase,				encoding="utf-8"  ) as merges_handle:
             lowercase__				 =							merges_handle.read().split("\n"  )[1:-1]
        lowercase__				 =							[tuple(merge.split()  ) for merge in merges]
        lowercase__				 =							dict(zip(_UpperCAmelCase,				range(len(_UpperCAmelCase  )  )  )  )
        lowercase__				 =							{}


   @property
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return len(self.encoder  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return dict(self.encoder,				**self.added_tokens_encoder  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        if token in self.cache:
             return self.cache[token]
        lowercase__				 =							tuple(_UpperCAmelCase  )
        lowercase__				 =							tuple(list(word[:-1]  ) + [word[-1] + "</w>"]  )
        lowercase__				 =							get_pairs(_UpperCAmelCase  )

        if not pairs:
             return token

        while True:
             lowercase__				 =							min(_UpperCAmelCase,				key=lambda _UpperCAmelCase  : self.bpe_ranks.get(_UpperCAmelCase,				float("inf"  )  )  )
             if bigram not in self.bpe_ranks:
                  break
             lowercase__ ,						lowercase__				 =							bigram
             lowercase__				 =							[]
             lowercase__				 =							0
             while i < len(_UpperCAmelCase  ):
                  try:
                       lowercase__				 =							word.index(_UpperCAmelCase,				_UpperCAmelCase  )
                  except ValueError:
                       new_word.extend(word[i:]  )
                       break
                  else:
                       new_word.extend(word[i:j]  )
                       lowercase__				 =							j

                  if word[i] == first and i < len(_UpperCAmelCase  ) - 1 and word[i + 1] == second:
                       new_word.append(first + second  )
                       i += 2
                  else:
                       new_word.append(word[i]  )
                       i += 1
             lowercase__				 =							tuple(_UpperCAmelCase  )
             lowercase__				 =							new_word
             if len(_UpperCAmelCase  ) == 1:
                  break
             else:
                  lowercase__				 =							get_pairs(_UpperCAmelCase  )
        lowercase__				 =							"@@ ".join(_UpperCAmelCase  )
        lowercase__				 =							word[:-4]
        lowercase__				 =							word
        return word


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							[]

        lowercase__				 =							re.findall(R"\S+\n?",				_UpperCAmelCase  )

        for token in words:
             split_tokens.extend(list(self.bpe(_UpperCAmelCase  ).split(" "  )  )  )
        return split_tokens


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.encoder.get(_UpperCAmelCase,				self.encoder.get(self.unk_token  )  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.decoder.get(_UpperCAmelCase,				self.unk_token  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							" ".join(_UpperCAmelCase  ).replace("@@ ",				""  ).strip()
        return out_string


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        if not os.path.isdir(_UpperCAmelCase  ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
             return
        lowercase__				 =							os.path.join(
            _UpperCAmelCase,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
        lowercase__				 =							os.path.join(
            _UpperCAmelCase,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]  )

        with open(_UpperCAmelCase,				"w",				encoding="utf-8"  ) as f:
             f.write(json.dumps(self.encoder,				indent=2,				sort_keys=_UpperCAmelCase,				ensure_ascii=_UpperCAmelCase  ) + "\n"  )

        lowercase__				 =							0
        with open(_UpperCAmelCase,				"w",				encoding="utf-8"  ) as writer:
             writer.write("#version: 0.2\n"  )
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),				key=lambda _UpperCAmelCase  : kv[1]  ):
                  if index != token_index:
                       logger.warning(
                           F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                           " Please check that the tokenizer is not corrupted!"  )
                       lowercase__				 =							token_index
                  writer.write(" ".join(_UpperCAmelCase  ) + "\n"  )
                  index += 1

        return vocab_file, merge_file

   # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
   #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
   #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
   #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
   #     return ''.join(tokens_generated_so_far)





"""simple docstring"""


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
 lowerCAmelCase_:					Dict     =					"pt"
elif is_tf_available():
 lowerCAmelCase_:					Dict     =					"tf"
else:
 lowerCAmelCase_:					str     =					"jax"






class    a__    (   _a					,					unittest.TestCase	):
   snake_case_							=      ByTaTokenizer
   snake_case_							=      False


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        super().setUp()
        lowercase__				 =							ByTaTokenizer()
        tokenizer.save_pretrained(self.tmpdirname  )


   @cached_property
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return ByTaTokenizer.from_pretrained("google/byt5-small"  )


   def 	snake_case__	(     self,				**_UpperCAmelCase  ):
        '''simple docstring'''



        return self.tokenizer_class.from_pretrained(self.tmpdirname,				**_UpperCAmelCase  )


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase=False,				_UpperCAmelCase=20,				_UpperCAmelCase=5  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(_UpperCAmelCase  )  ):
             try:
                  lowercase__				 =							tokenizer.decode([i],				clean_up_tokenization_spaces=_UpperCAmelCase  )
             except UnicodeDecodeError:
                  pass
             toks.append((i, tok)  )

        lowercase__				 =							list(filter(lambda _UpperCAmelCase  : re.match(R"^[ a-zA-Z]+$",				t[1]  ),				_UpperCAmelCase  )  )
        lowercase__				 =							list(filter(lambda _UpperCAmelCase  : [t[0]] == tokenizer.encode(t[1],				add_special_tokens=_UpperCAmelCase  ),				_UpperCAmelCase  )  )
        if max_length is not None and len(_UpperCAmelCase  ) > max_length:
             lowercase__				 =							toks[:max_length]
        if min_length is not None and len(_UpperCAmelCase  ) < min_length and len(_UpperCAmelCase  ) > 0:
             while len(_UpperCAmelCase  ) < min_length:
                  lowercase__				 =							toks + toks
        # toks_str = [t[1] for t in toks]
        lowercase__				 =							[t[0] for t in toks]

        # Ensure consistency
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase,				clean_up_tokenization_spaces=_UpperCAmelCase  )
        if " " not in output_txt and len(_UpperCAmelCase  ) > 1:
             lowercase__				 =							(
                 tokenizer.decode([toks_ids[0]],				clean_up_tokenization_spaces=_UpperCAmelCase  )
                 + " "
                 + tokenizer.decode(toks_ids[1:],				clean_up_tokenization_spaces=_UpperCAmelCase  )
             )
        if with_prefix_space:
             lowercase__				 =							" " + output_txt
        lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
        return output_txt, output_ids


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]  )
        lowercase__				 =							tokenizer(["hi", "I went to the gym", ""]  )
        self.assertListEqual(batch_with_eos_added["input_ids"],				batch_without_eos_added["input_ids"]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							"Unicode €."
        lowercase__				 =							tokenizer(_UpperCAmelCase  )
        lowercase__				 =							[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
        self.assertEqual(encoded["input_ids"],				_UpperCAmelCase  )

        # decoding
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase  )
        self.assertEqual(_UpperCAmelCase,				"Unicode €.</s>"  )

        lowercase__				 =							tokenizer("e è é ê ë"  )
        lowercase__				 =							[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
        self.assertEqual(encoded["input_ids"],				_UpperCAmelCase  )
        # decoding
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase  )
        self.assertEqual(_UpperCAmelCase,				"e è é ê ë</s>"  )

        # encode/decode, but with `encode` instead of `__call__`
        self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë"  )  ),				"e è é ê ë</s>"  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization.", "Another paragraph for summarization."]
        # fmt: off
        lowercase__				 =							[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
        # fmt: on
        lowercase__				 =							tokenizer(_UpperCAmelCase,				padding=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )

        if FRAMEWORK != "jax":
             lowercase__				 =							list(batch.input_ids.numpy()[0]  )
        else:
             lowercase__				 =							list(batch.input_ids.tolist()[0]  )

        self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

        self.assertEqual((2, 37),				batch.input_ids.shape  )
        self.assertEqual((2, 37),				batch.attention_mask.shape  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization.", "Another paragraph for summarization."]
        lowercase__				 =							tokenizer(_UpperCAmelCase,				padding=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        # check if input_ids are returned and no decoder_input_ids
        self.assertIn("input_ids",				_UpperCAmelCase  )
        self.assertIn("attention_mask",				_UpperCAmelCase  )
        self.assertNotIn("decoder_input_ids",				_UpperCAmelCase  )
        self.assertNotIn("decoder_attention_mask",				_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							[
            "Summary of the text.",
            "Another summary.",
        ]
        lowercase__				 =							tokenizer(
            text_target=_UpperCAmelCase,				max_length=32,				padding="max_length",				truncation=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        self.assertEqual(32,				targets["input_ids"].shape[1]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization. </s>"]
        lowercase__				 =							["Summary of the text. </s>"]
        # fmt: off
        lowercase__				 =							[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
        lowercase__				 =							[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
        # fmt: on

        lowercase__				 =							tokenizer(_UpperCAmelCase,				text_target=_UpperCAmelCase  )

        self.assertEqual(_UpperCAmelCase,				batch["input_ids"][0]  )
        self.assertEqual(_UpperCAmelCase,				batch["labels"][0]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizers()
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  self.assertNotEqual(tokenizer.model_max_length,				42  )

        # Now let's start the test
        lowercase__				 =							self.get_tokenizers()
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  # Isolate this from the other tests because we save additional tokens/etc
                  lowercase__				 =							tempfile.mkdtemp()

                  lowercase__				 =							" He is very happy, UNwant\u00E9d,running"
                  lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  tokenizer.save_pretrained(_UpperCAmelCase  )

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase  )
                  lowercase__				 =							after_tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

                  shutil.rmtree(_UpperCAmelCase  )

        lowercase__				 =							self.get_tokenizers(model_max_length=42  )
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  # Isolate this from the other tests because we save additional tokens/etc
                  lowercase__				 =							tempfile.mkdtemp()

                  lowercase__				 =							" He is very happy, UNwant\u00E9d,running"
                  tokenizer.add_tokens(["bim", "bambam"]  )
                  lowercase__				 =							tokenizer.additional_special_tokens
                  additional_special_tokens.append("new_additional_special_token"  )
                  tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}  )
                  lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  tokenizer.save_pretrained(_UpperCAmelCase  )

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase  )
                  lowercase__				 =							after_tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )
                  self.assertIn("new_additional_special_token",				after_tokenizer.additional_special_tokens  )
                  self.assertEqual(after_tokenizer.model_max_length,				42  )

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase,				model_max_length=43  )
                  self.assertEqual(tokenizer.model_max_length,				43  )

                  shutil.rmtree(_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[]
        if self.test_slow_tokenizer:
             tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

        if self.test_rust_tokenizer:
             tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

        for tokenizer_class, tokenizer_utils in tokenizer_list:
             with tempfile.TemporaryDirectory() as tmp_dir:
                  tokenizer_utils.save_pretrained(_UpperCAmelCase  )

                  with open(os.path.join(_UpperCAmelCase,				"special_tokens_map.json"  ),				encoding="utf-8"  ) as json_file:
                       lowercase__				 =							json.load(_UpperCAmelCase  )

                  with open(os.path.join(_UpperCAmelCase,				"tokenizer_config.json"  ),				encoding="utf-8"  ) as json_file:
                       lowercase__				 =							json.load(_UpperCAmelCase  )

                  lowercase__				 =							[F'''<extra_id_{i}>''' for i in range(125  )]

                  lowercase__				 =							added_tokens_extra_ids + [
                      "an_additional_special_token"
                  ]
                  lowercase__				 =							added_tokens_extra_ids + [
                      "an_additional_special_token"
                  ]

                  with open(os.path.join(_UpperCAmelCase,				"special_tokens_map.json"  ),				"w",				encoding="utf-8"  ) as outfile:
                       json.dump(_UpperCAmelCase,				_UpperCAmelCase  )
                  with open(os.path.join(_UpperCAmelCase,				"tokenizer_config.json"  ),				"w",				encoding="utf-8"  ) as outfile:
                       json.dump(_UpperCAmelCase,				_UpperCAmelCase  )

                  # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
                  # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
                  # "special_tokens_map.json" files
                  lowercase__				 =							tokenizer_class.from_pretrained(
                      _UpperCAmelCase,				)
                  self.assertIn(
                      "an_additional_special_token",				tokenizer_without_change_in_init.additional_special_tokens  )
                  # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
                  self.assertEqual(
                      ["an_additional_special_token"],				tokenizer_without_change_in_init.convert_ids_to_tokens(
                          tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"]  )  ),				)

                  # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                  lowercase__				 =							added_tokens_extra_ids + [AddedToken("a_new_additional_special_token",				lstrip=_UpperCAmelCase  )]
                  lowercase__				 =							tokenizer_class.from_pretrained(
                      _UpperCAmelCase,				additional_special_tokens=_UpperCAmelCase,				)

                  self.assertIn("a_new_additional_special_token",				tokenizer.additional_special_tokens  )
                  self.assertEqual(
                      ["a_new_additional_special_token"],				tokenizer.convert_ids_to_tokens(
                          tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"]  )  ),				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[]
        if self.test_slow_tokenizer:
             tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

        if self.test_rust_tokenizer:
             tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

        for tokenizer_class, tokenizer_utils in tokenizer_list:
             with tempfile.TemporaryDirectory() as tmp_dir:
                  tokenizer_utils.save_pretrained(_UpperCAmelCase  )

                  lowercase__				 =							tokenizer_class.from_pretrained(_UpperCAmelCase  )

                  self.assertTrue(tokenizer.decode([255]  ) == ""  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizers(fast=_UpperCAmelCase,				do_lower_case=_UpperCAmelCase  )
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  lowercase__				 =							["t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "x", "t", "</s>"]
                  lowercase__				 =							tokenizer.convert_tokens_to_string(_UpperCAmelCase  )

                  self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizers()
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  lowercase__				 =							[
                      "bos_token",
                      "eos_token",
                      "unk_token",
                      "sep_token",
                      "pad_token",
                      "cls_token",
                      "mask_token",
                  ]

                  lowercase__				 =							0
                  lowercase__				 =							tokenizer.convert_ids_to_tokens(
                      _UpperCAmelCase,				skip_special_tokens=_UpperCAmelCase  )

                  for attr in attributes_list:
                       setattr(_UpperCAmelCase,				attr + "_id",				_UpperCAmelCase  )
                       self.assertEqual(getattr(_UpperCAmelCase,				_UpperCAmelCase  ),				_UpperCAmelCase  )
                       self.assertEqual(getattr(_UpperCAmelCase,				attr + "_id"  ),				_UpperCAmelCase  )

                       setattr(_UpperCAmelCase,				attr + "_id",				_UpperCAmelCase  )
                       self.assertEqual(getattr(_UpperCAmelCase,				_UpperCAmelCase  ),				_UpperCAmelCase  )
                       self.assertEqual(getattr(_UpperCAmelCase,				attr + "_id"  ),				_UpperCAmelCase  )

                  setattr(_UpperCAmelCase,				"additional_special_tokens_ids",				[]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens"  ),				[]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens_ids"  ),				[]  )

                  setattr(_UpperCAmelCase,				"additional_special_tokens_ids",				[token_id_to_test_setters]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens"  ),				[token_to_test_setters]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens_ids"  ),				[token_id_to_test_setters]  )




