code: def get_tokenizer(tokenizer, decap=False):
      if callable(tokenizer):
          return tokenizer
      if tokenizer == "spacy":
          try:
              import spacy
  
              spacy_en = spacy.load("en")
              return lambda s: [
                  tok.text for tok in spacy_en.tokenizer(s)
              ]
          except ImportError:
              print(
                  "Please install SpaCy and the SpaCy English tokenizer. "
                  "See the docs at https://spacy.io for more information."
              )
              raise
          except AttributeError:
              print(
                  "Please install SpaCy and the SpaCy English tokenizer. "
                  "See the docs at https://spacy.io for more information."
              )
              raise
      elif tokenizer == "moses":
          try:
              from nltk.tokenize.moses import MosesTokenizer
  
              moses_tokenizer = MosesTokenizer()
              return moses_tokenizer.tokenize
          except ImportError:
              print(
                  "Please install NLTK. "
                  "See the docs at http://nltk.org for more information."
              )
              raise
          except LookupError:
              print(
                  "Please install the necessary NLTK corpora. "
                  "See the docs at http://nltk.org for more information."
              )
              raise
      elif tokenizer == "revtok":
          try:
              import revtok
  
              return revtok.tokenize
          except ImportError:
              print("Please install revtok.")
              raise
      elif tokenizer == "subword":
          try:
              import revtok
  
              return revtok.tokenize
          except ImportError:
              print("Please install revtok.")
              raise
      raise ValueError(
          "Requested tokenizer {}, valid choices are a "
          "callable that takes a single string as input, "
          '"revtok" for the revtok reversible tokenizer, '
          '"subword" for the revtok caps-aware tokenizer, '
          '"spacy" for the SpaCy English tokenizer, or '
          '"moses" for the NLTK port of the Moses tokenization '
          "script.".format(tokenizer)
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_tokenizer(tokenizer, decap) and returns: tokenizer, function, moses_tokenizer, revtok, revtok