code: def _run_strip_accents(text):
      output = []
      for char in unicodedata.normalize("NFD", text):
          if unicodedata.category(char) != "Mn":
              output.append(char)
      return "".join(output)
  
file_path: tinygrad/examples/mlperf/helpers.py
imports: from collections import OrderedDict
  import unicodedata
  import numpy
  from scipy import signal
label_desc: Use image node_id 9 for calling a global function with example usage: _run_strip_accents(text) and returns: str