class_docstr: Generates utterance's tokens by mere python's ``str.split()``.
  
  Doesn't have any parameters.
docstr: Tokenize given batch
  
  Args:
      batch: list of texts to tokenize
  
  Returns:
      tokenized batch
docstr_tok: ["Tokenize","given","batch","Args",":","batch",":","list","of","texts","to","tokenize","Returns",":","tokenized","batch"]
code: def __call__(self, batch: List[str]) -> List[List[str]]:
      """
      Tokenize given batch
  
      Args:
          batch: list of texts to tokenize
  
      Returns:
          tokenized batch
      """
      if isinstance(batch, (list, tuple)):
          return [sample.split() for sample in batch]
      else:
          raise NotImplementedError(
              "not implemented for types other than" " list or tuple"
          )
  
imports: from typing import List
  from deeppavlov.core.common.registry import register
  from deeppavlov.core.models.component import Component
label_desc: Use image node_id 2 for calling the SplitTokenizer obj's underlying member method code with example usage: obj.__call__(batch) and returns: unknown