class_docstr: Runs Character tokenization.
class_docstr_tok: ["Runs","Character","tokenization","."]
docstr: Constructs a CharacterTokenizer.
  
  Args:
      **vocab**:
          Vocabulary object.
      **unk_token**: str
          A special symbol for out-of-vocabulary token.
      **normalize_text**: (`optional`) boolean (default True)
          Whether to apply unicode normalization to text before tokenization.
code: def __init__(self, vocab, unk_token, normalize_text=True):
      """
      Constructs a CharacterTokenizer.
  
      Args:
          **vocab**:
              Vocabulary object.
          **unk_token**: str
              A special symbol for out-of-vocabulary token.
          **normalize_text**: (`optional`) boolean (default True)
              Whether to apply unicode normalization to text before tokenization.
      """
      self.vocab = vocab
      self.unk_token = unk_token
      self.normalize_text = normalize_text
  
imports: import collections
  import copy
  import os
  import unicodedata
  from typing import Any, Dict, List, Optional, Tuple
  from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
  from ...utils import is_sentencepiece_available, logging
label_desc: Use image node_id 1 to create a new CharacterTokenizer object  with example: obj = CharacterTokenizer(vocab, unk_token, normalize_text)