class_docstr: The problem of fitting kinetic parameters for an enzyme reaction, [1]_.
  
  Number of variables --- 4, number of residuals --- 11, no bounds.
  
  .. [1] Brett M. Averick et al. "The MINPACK-2 Test Problem Collection",
         p. 29
class_docstr_tok: ["The","problem","of","fitting","kinetic","parameters","for","an","enzyme","reaction",",","[","1","]","_",".","Number","of","variables","--","-","4",",","number","of","residuals","--","-","11",",","no","bounds",".","..","[","1","]","Brett","M.","Averick","et","al",".","``","The","MINPACK-2","Test","Problem","Collection","''",",","p.","29"]
code: def __init__(self, x0_ind):
      super().__init__(4, 11, 3.075057e-04, x0_ind)
      self.u = np.array(
          [
              4.0,
              2.0,
              1.0,
              5.0e-1,
              2.5e-1,
              1.67e-1,
              1.25e-1,
              1.0e-1,
              8.33e-2,
              7.14e-2,
              6.25e-2,
          ]
      )
      self.y = np.array(
          [
              1.957e-1,
              1.947e-1,
              1.735e-1,
              1.6e-1,
              8.44e-2,
              6.27e-2,
              4.56e-2,
              3.42e-2,
              3.23e-2,
              2.35e-2,
              2.46e-2,
          ]
      )
  
imports: import inspect
  import sys
  import numpy
  from numpy.polynomial.chebyshev import Chebyshev
  from scipy.integrate import odeint
label_desc: Use image node_id 1 to create a new EnzymeReaction object from inherited base classes: LSQBenchmarkProblem with example: obj = EnzymeReaction(x0_ind)