code: def normalize(text):
      """
      Resolve different type of unicode encodings.
      """
      if type(text) != str:
          return text
      return unicodedata.normalize("NFD", text)
  
file_path: ParlAI/parlai/agents/tfidf_retriever/utils.py
imports: import regex
  import unicodedata
  import numpy
  import scipy.sparse
  from sklearn.utils import murmurhash3_32
label_desc: Use image node_id 4 for calling a global function with example usage: normalize(text) and returns: unicodedata, text