docstr: ...Test RobustLinearRegression setting of parameter of C
          
docstr_tok: ["...","Test","RobustLinearRegression","setting","of","parameter","of","C"]
code: def test_RobustLinearRegression_penalty_C(self):
      """...Test RobustLinearRegression setting of parameter of C"""
      for penalty in RobustLinearRegression._penalties.keys():
          if penalty != "none":
              learner = RobustLinearRegression(
                  C_sample_intercepts=1.0,
                  penalty=penalty,
                  C=self.float_1,
              )
              self.assertEqual(learner.C, self.float_1)
              self.assertEqual(
                  learner._prox_obj.strength, 1.0 / self.float_1
              )
              learner.C = self.float_2
              self.assertEqual(learner.C, self.float_2)
              self.assertEqual(
                  learner._prox_obj.strength, 1.0 / self.float_2
              )
  
              msg = "^``C`` must be positive, got -1$"
              with self.assertRaisesRegex(ValueError, msg):
                  RobustLinearRegression(
                      C_sample_intercepts=1.0, penalty=penalty, C=-1
                  )
          else:
              pass
              msg = '^You cannot set C for penalty "%s"$' % penalty
              with self.assertWarnsRegex(RuntimeWarning, msg):
                  RobustLinearRegression(
                      C_sample_intercepts=1.0,
                      penalty=penalty,
                      C=self.float_1,
                  )
  
              learner = RobustLinearRegression(
                  C_sample_intercepts=1.0, penalty=penalty
              )
              with self.assertWarnsRegex(RuntimeWarning, msg):
                  learner.C = self.float_1
  
          msg = "^``C`` must be positive, got -2$"
          with self.assertRaisesRegex(ValueError, msg):
              learner.C = -2
  
imports: import itertools
  import unittest
  import numpy
  from tick.base.inference import InferenceTest
  from tick.robust import RobustLinearRegression
  from tick.simulation import weights_sparse_gauss, features_normal_cov_toeplitz
  from tick.metrics import support_fdp, support_recall
label_desc: Use image node_id 8 for calling the Test obj's underlying member method code with example usage: obj.test_RobustLinearRegression_penalty_C() without return types