code: def whitespace_tokenization(input_data):
      standardized = tf.strings.regex_replace(
          tf.strings.lower(input_data),
          "[%s]" % _ESCAPED_PUNCTUATIONS,
          "",
      )
      tokens = tf.strings.split(standardized)
      return tf.map_fn(fn=lambda t: tf.unique(t)[0], elems=tokens)
  
imports: import re
  import string
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: whitespace_tokenization(input_data) and returns: tf