code: def svm_predict(arg1, arg2=None, arg3=None, arg4=None, arg5=None):
      if arg2:
          arg1_array = (c_float * len(arg1))()
          arg1_array[:] = arg1
          arg2_array = (c_char_p * len(arg2))()
          arg2_array[:] = arg2
          thundersvm.load_from_python_interface(
              arg1_array, arg2_array, len(arg1_array)
          )
          if arg5:
              arg5_list = arg5.encode("utf-8").split()
              arg5_array = (c_char_p * len(arg5_list))()
              arg5_array[:] = arg5_list
              thundersvm.thundersvm_predict_after_parse(
                  arg3.encode("utf-8"),
                  arg4.encode("utf-8"),
                  arg5_array,
                  len(arg5_array),
              )
          else:
              arg5_array = None
              thundersvm.thundersvm_predict_after_parse(
                  arg3.encode("utf-8"),
                  arg4.encode("utf-8"),
                  arg5_array,
                  0,
              )
      else:
          param_list = arg1.split()
          param_list.insert(0, "thundersvm-predict")
          param_array = (c_char_p * len(param_list))()
          param_array[:] = param_list
          thundersvm.thundersvm_predict(len(param_list), param_array)
  
imports: from ctypes import *
  from ctypes.util import find_library
  from os import path
  import sys
  from sys import platform
label_desc: Use image node_id 3 for calling a global function with example usage: svm_predict(arg1, arg2, arg3, arg4, arg5) without return types