updated to use updated report_system (#762)

* updated to latest report_system API

* changed simple_warning calls to use issue_warning

* Avoid use of prob.get_reports_dir in tests so we can still test against openmdao 3.17.0

* fixing reports tests to work with old and newer OM versions

* turned off IPOPT output by default in tests

Co-authored-by: Rob Falck <rfalck@nasa.gov>

benchmark/benchmark_balanced_field.py

@@ -20,7 +20,7 @@ def _run_balanced_field_length_problem(tx=dm.GaussLobatto, timeseries=True, sim=
     p.driver.options['optimizer'] = optimizer
     p.driver.options['print_results'] = False
     if optimizer == 'IPOPT':
-        p.driver.opt_settings['print_level'] = 5
+        p.driver.opt_settings['print_level'] = 0
 
     # First Phase: Brake release to V1 - both engines operable
     br_to_v1 = dm.Phase(ode_class=BalancedFieldODEComp,

benchmark/benchmark_racecar.py

@@ -129,7 +129,7 @@ def _run_racecar_problem(transcription, timeseries=False):
     p.driver.opt_settings['compl_inf_tol'] = 1e-3
     p.driver.opt_settings['acceptable_iter'] = 0
     p.driver.opt_settings['tol'] = 1e-3
-    p.driver.opt_settings['print_level'] = 5
+    p.driver.opt_settings['print_level'] = 0
     p.driver.opt_settings['nlp_scaling_method'] = 'gradient-based'  # for faster convergence
     p.driver.opt_settings['alpha_for_y'] = 'safer-min-dual-infeas'
     p.driver.opt_settings['mu_strategy'] = 'monotone'

dymos/examples/balanced_field/doc/test_doc_balanced_field_length.py

@@ -29,7 +29,7 @@ def test_balanced_field_length_for_docs(self):
         p.driver.options['optimizer'] = optimizer
         p.driver.options['print_results'] = False
         if optimizer == 'IPOPT':
-            p.driver.opt_settings['print_level'] = 5
+            p.driver.opt_settings['print_level'] = 0
             p.driver.opt_settings['derivative_test'] = 'first-order'
 
         # First Phase: Brake release to V1 - both engines operable

dymos/examples/balanced_field/test/test_balanced_field_func_comp.py

@@ -158,7 +158,7 @@ def _run_problem(self, tx):
         p.driver.options['optimizer'] = 'IPOPT'
         p.driver.options['print_results'] = True
 
-        p.driver.opt_settings['print_level'] = 5
+        p.driver.opt_settings['print_level'] = 0
         p.driver.opt_settings['mu_strategy'] = 'adaptive'
 
         p.driver.opt_settings['bound_mult_init_method'] = 'mu-based'

dymos/examples/balanced_field/test/test_balanced_field_length.py

@@ -18,7 +18,7 @@ def _make_problem(self):
 
         p.driver = om.pyOptSparseDriver()
         p.driver.options['optimizer'] = 'IPOPT'
-        p.driver.opt_settings['print_level'] = 5
+        p.driver.opt_settings['print_level'] = 0
         p.driver.opt_settings['derivative_test'] = 'first-order'
 
         p.driver.declare_coloring()

dymos/examples/brachistochrone/doc/test_doc_brachistochrone.py

@@ -310,7 +310,7 @@ def test_brachistochrone_for_docs_coloring_demo_solve_segments(self):
         #
         p = om.Problem(model=om.Group())
         p.driver = om.pyOptSparseDriver(optimizer='IPOPT')
-        p.driver.opt_settings['print_level'] = 4
+        p.driver.opt_settings['print_level'] = 0
         # p.driver.declare_coloring()
 
         #

dymos/examples/brachistochrone/test/test_brachistochrone_solve_segments.py

@@ -27,7 +27,7 @@ def _make_problem(transcription='gauss-lobatto', num_segments=8, transcription_o
     elif optimizer == 'IPOPT':
         p.driver.opt_settings['mu_init'] = 1e-3
         p.driver.opt_settings['max_iter'] = 500
-        p.driver.opt_settings['print_level'] = 5
+        p.driver.opt_settings['print_level'] = 0
         p.driver.opt_settings['nlp_scaling_method'] = 'gradient-based'  # for faster convergence
         p.driver.opt_settings['alpha_for_y'] = 'safer-min-dual-infeas'
         p.driver.opt_settings['mu_strategy'] = 'monotone'