class_docstr: Tokenizer based on space character only.
class_docstr_tok: ["Tokenizer","based","on","space","character","only","."]
code: def run_tokenize(text: str) -> List[str]:
      tokens: List[str] = []
      word = ""
      index = -1
      for index, char in enumerate(text):
          if char == " ":
              if len(word) > 0:
                  tokens.append(word)
  
              word = ""
          else:
              word += char
      # increment for last token in sentence if not followed by whitespace
      index += 1
      if len(word) > 0:
          tokens.append(word)
  
      return tokens
  
imports: import logging
  import sys
  from abc import ABC, abstractmethod
  from typing import Callable, List
  from segtok.segmenter import split_single
  from segtok.tokenizer import split_contractions, word_tokenizer
label_desc: Use image node_id 3 for calling the SpaceTokenizer obj's underlying member method code with example usage: obj.run_tokenize(text) and returns: tokens