code: def test_set_model_and_set_prox(self):
      np.random.seed(12)
      n_samples = TestSolver.n_samples
      n_features = TestSolver.n_features
      weights0 = weights_sparse_gauss(n_features, nnz=5)
      interc0 = 2.0
      model = ModelLinReg()
      msg = (
          "^Passed object ModelLinReg has not been fitted. You must call"
          " ``fit`` on it before passing it to ``set_model``$"
      )
      with self.assertRaisesRegex(ValueError, msg):
          for solver_class in self.solvers:
              if solver_class is SDCA:
                  solver = solver_class(l_l2sq=1e-1)
              else:
                  solver = solver_class()
              solver.set_model(model)
  
      X, y = SimuLinReg(
          weights0,
          interc0,
          n_samples=n_samples,
          verbose=False,
          seed=123,
          dtype=self.dtype,
      ).simulate()
      prox = ProxL2Sq(strength=1e-1)
      msg = "^Passed object of class ProxL2Sq is not a Model class$"
      with self.assertRaisesRegex(ValueError, msg):
          for solver_class in self.solvers:
              if solver_class is SDCA:
                  solver = solver_class(l_l2sq=1e-1)
              else:
                  solver = solver_class()
              solver.set_model(prox)
      model.fit(X, y)
      msg = "^Passed object of class ModelLinReg is not a Prox class$"
      with self.assertRaisesRegex(ValueError, msg):
          for solver_class in self.solvers:
              if solver_class is SDCA:
                  solver = solver_class(l_l2sq=1e-1)
              else:
                  solver = solver_class()
              solver.set_model(model).set_prox(model)
  
file_path: tick/tick/solver/tests/solver.py
imports: import unittest
  import itertools
  import numpy
  from scipy.linalg import norm
  from scipy.sparse import csr_matrix
  from tick.linear_model import ModelLogReg, ModelPoisReg, ModelLinReg, SimuLinReg, SimuLogReg, SimuPoisReg
  from tick.prox import ProxL2Sq, ProxZero, ProxL1
  from tick.solver import SVRG, AGD, SGD, SDCA, GD, BFGS, AdaGrad
  from tick.simulation import weights_sparse_gauss
label_desc: Use image node_id 7 for calling the TestSolver obj's underlying member method code with example usage: obj.test_set_model_and_set_prox() without return types