code: def extract_non_overlapping_ngrams(text, n):
      # Tokenize the text into words or tokens
      tokens = text.split()
      # Extract non-overlapping n-grams
      non_overlapping_ngrams = [
          tokens[i : i + n] for i in range(0, len(tokens), n)
      ]
      # Convert each group of words into a tuple (to resemble the output of the
      # nltk.ngrams function)
      non_overlapping_ngrams = [
          " ".join(group) for group in non_overlapping_ngrams
      ]
      return non_overlapping_ngrams
  
imports: import spacy
label_desc: Use image node_id 1 for calling a global function with example usage: extract_non_overlapping_ngrams(text, n) and returns: non_overlapping_ngrams