docstr: ...Test LogisticRegression setting of step parameter of solver
          
docstr_tok: ["...","Test","LogisticRegression","setting","of","step","parameter","of","solver"]
code: def test_LogisticRegression_solver_step(self):
      """...Test LogisticRegression setting of step parameter of solver"""
      for solver in solvers:
          if solver in ["sdca", "bfgs"]:
              msg = '^Solver "%s" has no settable step$' % solver
              with self.assertWarnsRegex(RuntimeWarning, msg):
                  learner = LogisticRegression(
                      solver=solver,
                      step=1,
                      **Test.specific_solver_kwargs(solver),
                  )
                  self.assertIsNone(learner.step)
          else:
              learner = LogisticRegression(
                  solver=solver,
                  step=self.float_1,
                  **Test.specific_solver_kwargs(solver),
              )
              self.assertEqual(learner.step, self.float_1)
              self.assertEqual(learner._solver_obj.step, self.float_1)
              learner.step = self.float_2
              self.assertEqual(learner.step, self.float_2)
              self.assertEqual(learner._solver_obj.step, self.float_2)
  
          if solver in ["sgd"]:
              msg = "^SGD step needs to be tuned manually$"
              with self.assertWarnsRegex(RuntimeWarning, msg):
                  learner = LogisticRegression(solver="sgd")
                  learner.fit(self.X, self.y)
  
imports: import itertools
  import unittest
  import numpy
  from sklearn.metrics import roc_auc_score
  from tick.base.inference import InferenceTest
  from tick.linear_model import SimuLogReg, LogisticRegression
  from tick.simulation import weights_sparse_gauss
  from tick.preprocessing.features_binarizer import FeaturesBinarizer
  from tick.prox import ProxZero, ProxL1, ProxL2Sq, ProxElasticNet, ProxTV, ProxBinarsity
label_desc: Use image node_id 11 for calling the Test obj's underlying member method code with example usage: obj.test_LogisticRegression_solver_step() without return types