code: def Minimizer_Residual(p, x, y):
      v = p.valuesdict()
      return (
          v["a1"] * np.exp(-x / v["t1"])
          + v["a2"] * np.exp(-(x - 0.1) / v["t2"])
          - y
      )
  
file_path: lmfit-py/asv_benchmarking/benchmarks/benchmarks.py
imports: from copy import deepcopy
  import numpy
  from lmfit import Minimizer, Parameters, conf_interval, minimize
label_desc: Use image node_id 2 for calling a global function with example usage: Minimizer_Residual(p, x, y) and returns: unknown