code: def _test_solver_astype_consistency(self, create_solver):
      # Launch this test only once
      if self.dtype != "float64":
          return
  
      prox = ProxL2Sq(0.1)
  
      use_intercept = True
      y_64, X_64, coeffs0_64, interc0 = self.generate_logistic_data(
          100, 30, "float64", use_intercept
      )
  
      model_64 = ModelLogReg(fit_intercept=use_intercept)
      model_64.fit(X_64, y_64)
      solver_64 = create_solver()
      solver_64.set_model(model_64).set_prox(prox)
      solution_64 = solver_64.solve()
  
      solver_32 = solver_64.astype("float32")
      solution_32 = solver_32.solve()
  
      self.assertEqual(solution_64.dtype, "float64")
      self.assertEqual(solution_32.dtype, "float32")
  
      np.testing.assert_array_almost_equal(
          solution_32, solution_64, decimal=3
      )
  
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 6 for calling the TestSolver obj's underlying member method code with example usage: obj._test_solver_astype_consistency(create_solver) without return types