






import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


__snake_case      :      Any             =       logging.get_logger(__name__)


__snake_case      :      Union[str, Any]             =       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all LED models at https://huggingface.co/models?filter=LED
__snake_case      :      Optional[Any]             =       {
    """vocab_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """allenai/led-base-16384""": """https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json""",
    },
}

__snake_case      :      List[str]             =       {
    """allenai/led-base-16384""": 1_63_84,
}







@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 		_UpperCamelCase				(      )					->				int:

						"""simple docstring"""



						lowerCAmelCase__        =  (
						    list(range(ord('!'						)      ,    ord('~'						) + 1						)						) + list(range(ord('¡'						)      ,    ord('¬'						) + 1						)						) + list(range(ord('®'						)      ,    ord('ÿ'						) + 1						)						)
						)
						lowerCAmelCase__        =  bs[:]
						lowerCAmelCase__        =  0
						for b in range(2**8						):
												if b not in bs:
																		bs.append(UpperCamelCase_						)
																		cs.append(2**8 + n						)
																		n += 1
						lowerCAmelCase__        =  [chr(UpperCamelCase_						) for n in cs]
						return dict(zip(UpperCamelCase_      ,    UpperCamelCase_						)						)







def 		_UpperCamelCase				(      UpperCamelCase_    :   Optional[Any]						)					->				Dict:

						"""simple docstring"""



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


class       __SCREAMING_SNAKE_CASE   (				__lowercase):
						_SCREAMING_SNAKE_CASE		:    Optional[int]						=   VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE		:    Optional[int]						=   PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE		:    Optional[Any]						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE		:    Any						=   ['''input_ids''', '''attention_mask''']






						def __init__(		self       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase="replace"       ,  _UpperCamelCase="<s>"       ,  _UpperCamelCase="</s>"       ,  _UpperCamelCase="</s>"       ,  _UpperCamelCase="<s>"       ,  _UpperCamelCase="<unk>"       ,  _UpperCamelCase="<pad>"       ,  _UpperCamelCase="<mask>"       ,  _UpperCamelCase=False       ,  **_UpperCamelCase       ,  ):






												"""simple docstring"""
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else bos_token
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else eos_token
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else sep_token
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else cls_token
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else unk_token
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else pad_token

												# Mask token behave like a normal word, i.e. include the space before it
												lowerCAmelCase__        =  AddedToken(_UpperCamelCase       ,  lstrip=_UpperCamelCase       ,  rstrip=_UpperCamelCase				) if isinstance(_UpperCamelCase       ,  _UpperCamelCase				) else mask_token

												super().__init__(
												    errors=_UpperCamelCase       ,  bos_token=_UpperCamelCase       ,  eos_token=_UpperCamelCase       ,  unk_token=_UpperCamelCase       ,  sep_token=_UpperCamelCase       ,  cls_token=_UpperCamelCase       ,  pad_token=_UpperCamelCase       ,  mask_token=_UpperCamelCase       ,  add_prefix_space=_UpperCamelCase       ,  **_UpperCamelCase       ,  )

												with open(_UpperCamelCase       ,  encoding='utf-8'				) as vocab_handle:
																		lowerCAmelCase__        =  json.load(_UpperCamelCase				)
												lowerCAmelCase__        =  {v: k for k, v in self.encoder.items()}
												lowerCAmelCase__        =  errors  # how to handle errors in decoding
												lowerCAmelCase__        =  bytes_to_unicode()
												lowerCAmelCase__        =  {v: k for k, v in self.byte_encoder.items()}
												with open(_UpperCamelCase       ,  encoding='utf-8'				) as merges_handle:
																		lowerCAmelCase__        =  merges_handle.read().split('\n'				)[1:-1]
												lowerCAmelCase__        =  [tuple(merge.split()				) for merge in bpe_merges]
												lowerCAmelCase__        =  dict(zip(_UpperCamelCase       ,  range(len(_UpperCamelCase				)				)				)				)
												lowerCAmelCase__        =  {}
												lowerCAmelCase__        =  add_prefix_space

												# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
												lowerCAmelCase__        =  re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'				)






						@property
						# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return len(self.encoder				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												return dict(self.encoder       ,  **self.added_tokens_encoder				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												if token in self.cache:
																		return self.cache[token]
												lowerCAmelCase__        =  tuple(_UpperCamelCase				)
												lowerCAmelCase__        =  get_pairs(_UpperCamelCase				)

												if not pairs:
																		return token

												while True:
																		lowerCAmelCase__        =  min(_UpperCamelCase       ,  key=lambda _UpperCamelCase				: self.bpe_ranks.get(_UpperCamelCase       ,  float('inf'				)				)				)
																		if bigram not in self.bpe_ranks:
																								break
																		lowerCAmelCase__  ,    lowerCAmelCase__        =  bigram
																		lowerCAmelCase__        =  []
																		lowerCAmelCase__        =  0
																		while i < len(_UpperCamelCase				):
																								try:
																														lowerCAmelCase__        =  word.index(_UpperCamelCase       ,  _UpperCamelCase				)
																								except ValueError:
																														new_word.extend(word[i:]				)
																														break
																								else:
																														new_word.extend(word[i:j]				)
																														lowerCAmelCase__        =  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
																		lowerCAmelCase__        =  tuple(_UpperCamelCase				)
																		lowerCAmelCase__        =  new_word
																		if len(_UpperCamelCase				) == 1:
																								break
																		else:
																								lowerCAmelCase__        =  get_pairs(_UpperCamelCase				)
												lowerCAmelCase__        =  ' '.join(_UpperCamelCase				)
												lowerCAmelCase__        =  word
												return word






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  []
												for token in re.findall(self.pat       ,  _UpperCamelCase				):
																		lowerCAmelCase__        =  ''.join(
																		    self.byte_encoder[b] for b in token.encode('utf-8'				)				)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
																		bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_UpperCamelCase				).split(' '				)				)
												return bpe_tokens






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return self.encoder.get(_UpperCamelCase       ,  self.encoder.get(self.unk_token				)				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												return self.decoder.get(_UpperCamelCase				)






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  ''.join(_UpperCamelCase				)
												lowerCAmelCase__        =  bytearray([self.byte_decoder[c] for c in text]				).decode('utf-8'       ,  errors=self.errors				)
												return text






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None				):






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

												lowerCAmelCase__        =  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!'				)
																														lowerCAmelCase__        =  token_index
																								writer.write(' '.join(_UpperCamelCase				) + '\n'				)
																								index += 1

												return vocab_file, merge_file






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None				):






												"""simple docstring"""
												if token_ids_a is None:
																		return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
												lowerCAmelCase__        =  [self.cls_token_id]
												lowerCAmelCase__        =  [self.sep_token_id]
												return cls + token_ids_a + sep + sep + token_ids_a + sep






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None       ,  _UpperCamelCase = False				):






												"""simple docstring"""
												if already_has_special_tokens:
																		return super().get_special_tokens_mask(
																		    token_ids_a=_UpperCamelCase       ,  token_ids_a=_UpperCamelCase       ,  already_has_special_tokens=_UpperCamelCase				)

												if token_ids_a is None:
																		return [1] + ([0] * len(_UpperCamelCase				)) + [1]
												return [1] + ([0] * len(_UpperCamelCase				)) + [1, 1] + ([0] * len(_UpperCamelCase				)) + [1]






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None				):






												"""simple docstring"""
												lowerCAmelCase__        =  [self.sep_token_id]
												lowerCAmelCase__        =  [self.cls_token_id]

												if token_ids_a is None:
																		return len(cls + token_ids_a + sep				) * [0]
												return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]






						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase=False       ,  **_UpperCamelCase				):






												"""simple docstring"""
												lowerCAmelCase__        =  kwargs.pop('add_prefix_space'       ,  self.add_prefix_space				)
												if (is_split_into_words or add_prefix_space) and (len(_UpperCamelCase				) > 0 and not text[0].isspace()):
																		lowerCAmelCase__        =  ' ' + text
												return (text, kwargs)







						def  UpperCamelCase__ (		self       ,  _UpperCamelCase       ,  _UpperCamelCase = None       ,  _UpperCamelCase = PaddingStrategy.DO_NOT_PAD       ,  _UpperCamelCase = None       ,  _UpperCamelCase = None       ,  ):






												"""simple docstring"""
												lowerCAmelCase__        =  super()._pad(
												    encoded_inputs=_UpperCamelCase       ,  max_length=_UpperCamelCase       ,  padding_strategy=_UpperCamelCase       ,  pad_to_multiple_of=_UpperCamelCase       ,  return_attention_mask=_UpperCamelCase       ,  )

												# Load from model defaults
												if return_attention_mask is None:
																		lowerCAmelCase__        =  'attention_mask' in self.model_input_names

												if return_attention_mask and "global_attention_mask" in encoded_inputs:
																		lowerCAmelCase__        =  encoded_inputs[self.model_input_names[0]]
																		# `global_attention_mask` need to have the same length as other (sequential) inputs.
																		lowerCAmelCase__        =  len(encoded_inputs['global_attention_mask']				) != len(_UpperCamelCase				)

																		if needs_to_be_padded:
																								lowerCAmelCase__        =  len(_UpperCamelCase				) - len(encoded_inputs['global_attention_mask']				)

																								if self.padding_side == "right":
																														# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
																														lowerCAmelCase__        =  (
																														    encoded_inputs['global_attention_mask'] + [-1] * difference
																														)
																								elif self.padding_side == "left":
																														lowerCAmelCase__        =  [-1] * difference + encoded_inputs[
																														    'global_attention_mask'
																														]
																								else:
																														raise ValueError('Invalid padding strategy:' + str(self.padding_side				)				)

												return encoded_inputs













import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class       __SCREAMING_SNAKE_CASE   (				__lowercase						,   unittest.TestCase):
						_SCREAMING_SNAKE_CASE		:    List[str]						=   RoCBertTokenizer
						_SCREAMING_SNAKE_CASE		:    str						=   None
						_SCREAMING_SNAKE_CASE		:    Tuple						=   False
						_SCREAMING_SNAKE_CASE		:    List[Any]						=   True
						_SCREAMING_SNAKE_CASE		:    Union[str, Any]						=   filter_non_english






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												super().setUp()

												lowerCAmelCase__        =  ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
												lowerCAmelCase__        =  {}
												lowerCAmelCase__        =  {}
												for i, value in enumerate(_UpperCamelCase				):
																		lowerCAmelCase__        =  i
																		lowerCAmelCase__        =  i
												lowerCAmelCase__        =  os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['vocab_file']				)
												lowerCAmelCase__        =  os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['word_shape_file']				)
												lowerCAmelCase__        =  os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES['word_pronunciation_file']				)
												with open(self.vocab_file       ,  'w'       ,  encoding='utf-8'				) as vocab_writer:
																		vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]				)				)
												with open(self.word_shape_file       ,  'w'       ,  encoding='utf-8'				) as word_shape_writer:
																		json.dump(_UpperCamelCase       ,  _UpperCamelCase       ,  ensure_ascii=_UpperCamelCase				)
												with open(self.word_pronunciation_file       ,  'w'       ,  encoding='utf-8'				) as word_pronunciation_writer:
																		json.dump(_UpperCamelCase       ,  _UpperCamelCase       ,  ensure_ascii=_UpperCamelCase				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.tokenizer_class(self.vocab_file       ,  self.word_shape_file       ,  self.word_pronunciation_file				)

												lowerCAmelCase__        =  tokenizer.tokenize('你好[SEP]你是谁'				)
												self.assertListEqual(_UpperCamelCase       ,  ['你', '好', '[SEP]', '你', '是', '谁']				)
												self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase				)       ,  [5, 6, 2, 5, 7, 8]				)
												self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_UpperCamelCase				)       ,  [5, 6, 2, 5, 7, 8]				)
												self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_UpperCamelCase				)       ,  [5, 6, 2, 5, 7, 8]				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer()

												self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'				)       ,  ['ah', '\u535A', '\u63A8', 'zz']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '				)       ,  ['hello', '!', 'how', 'are', 'you', '?']				)
												self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)       ,  ['hello']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase       ,  strip_accents=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)       ,  ['hällo', '!', 'how', 'are', 'you', '?']				)
												self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)       ,  ['h\u00E9llo']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase       ,  strip_accents=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)       ,  ['hallo', '!', 'how', 'are', 'you', '?']				)
												self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)       ,  ['hello']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)       ,  ['hallo', '!', 'how', 'are', 'you', '?']				)
												self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)       ,  ['hello']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '				)       ,  ['HeLLo', '!', 'how', 'Are', 'yoU', '?']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase       ,  strip_accents=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)       ,  ['HäLLo', '!', 'how', 'Are', 'yoU', '?']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase       ,  strip_accents=_UpperCamelCase				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)       ,  ['HaLLo', '!', 'how', 'Are', 'yoU', '?']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  RoCBertBasicTokenizer(do_lower_case=_UpperCamelCase       ,  never_split=['[UNK]']				)

												self.assertListEqual(
												    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'				)       ,  ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

												lowerCAmelCase__        =  {}
												for i, token in enumerate(_UpperCamelCase				):
																		lowerCAmelCase__        =  i
												lowerCAmelCase__        =  RoCBertWordpieceTokenizer(vocab=_UpperCamelCase       ,  unk_token='[UNK]'				)

												self.assertListEqual(tokenizer.tokenize(''				)       ,  []				)

												self.assertListEqual(tokenizer.tokenize('unwanted running'				)       ,  ['un', '##want', '##ed', 'runn', '##ing']				)

												self.assertListEqual(tokenizer.tokenize('unwantedX running'				)       ,  ['[UNK]', 'runn', '##ing']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self.assertTrue(_is_whitespace(' '				)				)
												self.assertTrue(_is_whitespace('\t'				)				)
												self.assertTrue(_is_whitespace('\r'				)				)
												self.assertTrue(_is_whitespace('\n'				)				)
												self.assertTrue(_is_whitespace('\u00A0'				)				)

												self.assertFalse(_is_whitespace('A'				)				)
												self.assertFalse(_is_whitespace('-'				)				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self.assertTrue(_is_control('\u0005'				)				)

												self.assertFalse(_is_control('A'				)				)
												self.assertFalse(_is_control(' '				)				)
												self.assertFalse(_is_control('\t'				)				)
												self.assertFalse(_is_control('\r'				)				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												self.assertTrue(_is_punctuation('-'				)				)
												self.assertTrue(_is_punctuation('$'				)				)
												self.assertTrue(_is_punctuation('`'				)				)
												self.assertTrue(_is_punctuation('.'				)				)

												self.assertFalse(_is_punctuation('A'				)				)
												self.assertFalse(_is_punctuation(' '				)				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.get_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(_UpperCamelCase				) for t in ['Test', '\xad', 'test']]       ,  [['[UNK]'], [], ['[UNK]']]				)

												if self.test_rust_tokenizer:
																		lowerCAmelCase__        =  self.get_rust_tokenizer()
																		self.assertListEqual(
																		    [rust_tokenizer.tokenize(_UpperCamelCase				) for t in ['Test', '\xad', 'test']]       ,  [['[UNK]'], [], ['[UNK]']]				)






						def  UpperCamelCase__ (		self				):






												"""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__        =  F"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
																								lowerCAmelCase__        =  tokenizer_r.encode_plus(
																								    _UpperCamelCase       ,  return_attention_mask=_UpperCamelCase       ,  return_token_type_ids=_UpperCamelCase       ,  return_offsets_mapping=_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase       ,  )

																								lowerCAmelCase__        =  tokenizer_r.do_lower_case if hasattr(_UpperCamelCase       ,  'do_lower_case'				) else False
																								lowerCAmelCase__        =  (
																								    [
																								        ((0, 0), tokenizer_r.cls_token),
																								        ((0, 1), 'A'),
																								        ((1, 2), ','),
																								        ((3, 5), 'na'),
																								        ((5, 6), '##ï'),
																								        ((6, 8), '##ve'),
																								        ((9, 15), tokenizer_r.mask_token),
																								        ((16, 21), 'Allen'),
																								        ((21, 23), '##NL'),
																								        ((23, 24), '##P'),
																								        ((25, 33), 'sentence'),
																								        ((33, 34), '.'),
																								        ((0, 0), tokenizer_r.sep_token),
																								    ]
																								    if not do_lower_case
																								    else [
																								        ((0, 0), tokenizer_r.cls_token),
																								        ((0, 1), 'a'),
																								        ((1, 2), ','),
																								        ((3, 8), 'naive'),
																								        ((9, 15), tokenizer_r.mask_token),
																								        ((16, 21), 'allen'),
																								        ((21, 23), '##nl'),
																								        ((23, 24), '##p'),
																								        ((25, 33), 'sentence'),
																								        ((33, 34), '.'),
																								        ((0, 0), tokenizer_r.sep_token),
																								    ]
																								)

																								self.assertEqual(
																								    [e[1] for e in expected_results]       ,  tokenizer_r.convert_ids_to_tokens(tokens['input_ids']				)				)
																								self.assertEqual([e[0] for e in expected_results]       ,  tokens['offset_mapping']				)






						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  ['的', '人', '有']
												lowerCAmelCase__        =  ''.join(_UpperCamelCase				)
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"				):
																								lowerCAmelCase__        =  True
																								lowerCAmelCase__        =  self.tokenizer_class.from_pretrained(_UpperCamelCase       ,  **_UpperCamelCase				)
																								lowerCAmelCase__        =  self.rust_tokenizer_class.from_pretrained(_UpperCamelCase       ,  **_UpperCamelCase				)

																								lowerCAmelCase__        =  tokenizer_p.encode(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer_r.encode(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)

																								lowerCAmelCase__        =  tokenizer_r.convert_ids_to_tokens(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer_p.convert_ids_to_tokens(_UpperCamelCase				)

																								# it is expected that each Chinese character is not preceded by "##"
																								self.assertListEqual(_UpperCamelCase       ,  _UpperCamelCase				)
																								self.assertListEqual(_UpperCamelCase       ,  _UpperCamelCase				)

																								lowerCAmelCase__        =  False
																								lowerCAmelCase__        =  self.rust_tokenizer_class.from_pretrained(_UpperCamelCase       ,  **_UpperCamelCase				)
																								lowerCAmelCase__        =  self.tokenizer_class.from_pretrained(_UpperCamelCase       ,  **_UpperCamelCase				)

																								lowerCAmelCase__        =  tokenizer_r.encode(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer_p.encode(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)

																								lowerCAmelCase__        =  tokenizer_r.convert_ids_to_tokens(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer_p.convert_ids_to_tokens(_UpperCamelCase				)

																								# it is expected that only the first Chinese character is not preceded by "##".
																								lowerCAmelCase__        =  [
																								    F"##{token}" if idx != 0 else token for idx, token in enumerate(_UpperCamelCase				)
																								]
																								self.assertListEqual(_UpperCamelCase       ,  _UpperCamelCase				)
																								self.assertListEqual(_UpperCamelCase       ,  _UpperCamelCase				)






						@slow
						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.tokenizer_class(self.vocab_file       ,  self.word_shape_file       ,  self.word_pronunciation_file				)

												lowerCAmelCase__        =  tokenizer.encode('你好'       ,  add_special_tokens=_UpperCamelCase				)
												lowerCAmelCase__        =  tokenizer.encode('你是谁'       ,  add_special_tokens=_UpperCamelCase				)

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

												assert encoded_sentence == [1] + text + [2]
												assert encoded_pair == [1] + text + [2] + text_a + [2]







						def  UpperCamelCase__ (		self				):






												"""simple docstring"""
												lowerCAmelCase__        =  self.get_tokenizers(do_lower_case=_UpperCamelCase				)
												for tokenizer in tokenizers:
																		with self.subTest(F"{tokenizer.__class__.__name__}"				):
																								lowerCAmelCase__        =  '你好，你是谁'
																								lowerCAmelCase__        =  tokenizer.tokenize(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer.convert_tokens_to_ids(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer.convert_tokens_to_shape_ids(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer.convert_tokens_to_pronunciation_ids(_UpperCamelCase				)
																								lowerCAmelCase__        =  tokenizer.prepare_for_model(
																								    _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)

																								lowerCAmelCase__        =  tokenizer.encode_plus(_UpperCamelCase       ,  add_special_tokens=_UpperCamelCase				)

																								self.assertEqual(_UpperCamelCase       ,  _UpperCamelCase				)





