class_docstr: Benchmarks using minimize() and least-squares
code: def time_confinterval(self):
      np.random.seed(0)
      x = np.linspace(0.3, 10, 100)
      y = 1 / (0.1 * x) + 2 + 0.1 * np.random.randn(x.size)
  
      p = Parameters()
      p.add_many(("a", 0.1), ("b", 1))
  
      def residual(p):
          a = p["a"].value
          b = p["b"].value
  
          return 1 / (a * x) + b - y
  
      minimizer = Minimizer(residual, p)
      out = minimizer.leastsq()
      return conf_interval(minimizer, out)
  
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 5 for calling the MinimizeSuite obj's underlying member method code with example usage: obj.time_confinterval() and returns: conf_interval, unknown