class_docstr: Function Caller for NN evaluations. 
class_docstr_tok: ["Function","Caller","for","NN","evaluations","."]
docstr: Evaluates the synthetic function. 
docstr_tok: ["Evaluates","the","synthetic","function","."]
code: def _eval_synthetic_function(cls, raw_point):
      """Evaluates the synthetic function."""
      result = len(str(raw_point)) + np.random.random()
      sleep_time = 2 + 3 * np.random.random()
      sleep(sleep_time)
      if np.random.random() < _DEBUG_ERROR_PROB:
          # For debugging, return an error code with small probability
          return EVAL_ERROR_CODE
      else:
          return result
  
file_path: dragonfly/examples/nas/nn_function_caller.py
imports: from copy import deepcopy
  import numpy
  from time import sleep
  from dragonfly.exd.experiment_caller import CPFunctionCaller
  from dragonfly.exd.exd_core import EVAL_ERROR_CODE
  from dragonfly.utils.reporters import get_reporter
label_desc: Use image node_id 7 for calling the NNFunctionCaller obj's underlying member method code with example usage: obj._eval_synthetic_function(cls, raw_point) and returns: EVAL_ERROR_CODE, result