class_docstr: A `Tokenizer` that assumes you've already done your own tokenization somehow and have
  separated the tokens by spaces.  We just split the input string on whitespace and return the
  resulting list.
  
  Note that we use `text.split()`, which means that the amount of whitespace between the
  tokens does not matter.  This will never result in spaces being included as tokens.
  
  Registered as a `Tokenizer` with name "whitespace" and "just_spaces".
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code: def tokenize(self, text: str) -> List[Token]:
      return [Token(t) for t in text.split()]
  
imports: from typing import List, Dict, Any
  from allennlp.data.tokenizers.token_class import Token
  from allennlp.data.tokenizers.tokenizer import Tokenizer
label_desc: Use image node_id 1 for calling the WhitespaceTokenizer obj's underlying member method code with example usage: obj.tokenize(text) and returns: unknown