class_docstr: The problem of determining the optimal nodes of a quadrature formula
   with equal weights, [1]_.
  
  Number of variables --- 11, number of residuals --- 11, no bounds.
  
  .. [1] Brett M. Averick et al. "The MINPACK-2 Test Problem Collection",
         p. 30
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code: def __init__(self, x0):
      super().__init__(11, 11, 2.799761e-03, x0)
      cp = Chebyshev(1)
      self.T_all = [cp.basis(i, domain=[0.0, 1.0]) for i in range(11)]
  
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 ChebyshevQuadrature object from inherited base classes: LSQBenchmarkProblem with example: obj = ChebyshevQuadrature(x0)