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 jac(self, x):
      J = np.empty((self.m, self.n))
      for i in range(self.m):
          T = self.T_all[i]
          J[i] = T.deriv()(x)
      J /= self.n
      return J
  
imports: import inspect
  import sys
  import numpy
  from numpy.polynomial.chebyshev import Chebyshev
  from scipy.integrate import odeint
label_desc: Use image node_id 3 for calling the ChebyshevQuadrature obj's underlying member method code with example usage: obj.jac(x) and returns: J