[pre-commit.ci] auto fixes from pre-commit.com hooks

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optimagic-dev · Jul 2, 2024 · d520208 · d520208
1 parent 24ab3f6
commit d520208
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diff --git a/src/estimagic/optimization/cyipopt_optimizers.py b/src/estimagic/optimization/cyipopt_optimizers.py
@@ -35,7 +35,6 @@ def ipopt(
     dual_inf_tol=1.0,
     constr_viol_tol=0.0001,
     compl_inf_tol=0.0001,
-    #
     s_max=100.0,
     mu_target=0.0,
     # stopping criteria
@@ -49,7 +48,6 @@ def ipopt(
     acceptable_constr_viol_tol=0.01,
     acceptable_compl_inf_tol=0.01,
     acceptable_obj_change_tol=1e20,
-    #
     diverging_iterates_tol=1e20,
     nlp_lower_bound_inf=-1e19,
     nlp_upper_bound_inf=1e19,
@@ -334,7 +332,6 @@ def ipopt(
         "pardiso_msglvl": 0,
         # disable derivative checker
         "derivative_test": "none",
-        #
         "s_max": float(s_max),
         "max_iter": stopping_max_iterations,
         "max_wall_time": float(stopping_max_wall_time_seconds),
@@ -492,7 +489,6 @@ def ipopt(
         # linear solver
         "linear_solver": linear_solver,
         **linear_solver_options,
-        #
         **converted_bool_to_str_options,
     }
 

diff --git a/src/estimagic/optimization/pygmo_optimizers.py b/src/estimagic/optimization/pygmo_optimizers.py
@@ -39,7 +39,6 @@ def pygmo_gaco(
     n_cores=1,
     seed=None,
     discard_start_params=False,
-    #
     stopping_max_iterations=STOPPING_MAX_ITERATIONS_GENETIC,
     kernel_size=63,
     speed_parameter_q=1.0,
@@ -493,7 +492,6 @@ def pygmo_cmaes(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     stopping_max_iterations=STOPPING_MAX_ITERATIONS_GENETIC,
     backward_horizon=None,
     variance_loss_compensation=None,
@@ -562,7 +560,6 @@ def pygmo_simulated_annealing(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     start_temperature=10.0,
     end_temperature=0.01,
     n_temp_adjustments=10,
@@ -868,7 +865,6 @@ def pygmo_xnes(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     stopping_max_iterations=STOPPING_MAX_ITERATIONS_GENETIC,
     learning_rate_mean_update=1.0,
     learning_rate_step_size_update=None,
@@ -982,7 +978,6 @@ def pygmo_compass_search(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     stopping_max_criterion_evaluations=STOPPING_MAX_CRITERION_EVALUATIONS_GLOBAL,
     start_range=0.1,
     stop_range=0.01,
@@ -1044,7 +1039,6 @@ def pygmo_ihs(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     stopping_max_iterations=STOPPING_MAX_ITERATIONS_GENETIC,
     choose_from_memory_probability=0.85,
     min_pitch_adjustment_rate=0.35,
@@ -1109,7 +1103,6 @@ def pygmo_de1220(
     population_size=None,
     seed=None,
     discard_start_params=False,
-    #
     jde=True,
     stopping_max_iterations=STOPPING_MAX_ITERATIONS_GENETIC,
     allowed_variants=None,

diff --git a/tests/estimation/test_estimate_msm.py b/tests/estimation/test_estimate_msm.py
@@ -82,7 +82,6 @@ def test_estimate_msm(simulate_moments, moments_cov, optimize_options):
     # works only because parameter point estimates are exactly zero
     aaae(calculated.p_values(), np.ones(3))
 
-    #
     expected_ci_upper = np.array([1.95996398, 2.77180765, 3.3947572])
     expected_ci_lower = -expected_ci_upper
 

diff --git a/tests/optimization/test_ipopt_options.py b/tests/optimization/test_ipopt_options.py
@@ -17,7 +17,6 @@
     {"dual_inf_tol": 2.5},
     {"constr_viol_tol": 1e-7},
     {"compl_inf_tol": 1e-7},
-    #
     {"acceptable_iter": 15},
     {"acceptable_tol": 1e-5},
     {"acceptable_dual_inf_tol": 1e-5},
@@ -46,7 +45,6 @@
     {"nlp_scaling_constr_target_gradient": 0},
     {"nlp_scaling_constr_target_gradient": 2e-9},
     {"nlp_scaling_min_value": 1e-9},
-    #
     {"bound_push": 0.02},
     {"bound_frac": 0.02},
     {"slack_bound_push": 0.001},

diff --git a/tests/visualization/test_profile_plot.py b/tests/visualization/test_profile_plot.py
@@ -38,12 +38,9 @@ def test_create_solution_times_n_evaluations():
         data=[
             ["prob1", "algo1", 0],
             ["prob1", "algo1", 1],
-            #
             ["prob1", "algo2", 2],
             ["prob1", "algo2", 3],
-            #
             ["prob2", "algo1", 5],
-            #
             ["prob2", "algo2", 0],
             ["prob2", "algo2", 1],
         ],
@@ -76,12 +73,9 @@ def test_create_solution_times_n_batches():
         data=[
             ["prob1", "algo1", 0],
             ["prob1", "algo1", 1],
-            #
             ["prob1", "algo2", 2],
             ["prob1", "algo2", 2],
-            #
             ["prob2", "algo1", 1],
-            #
             ["prob2", "algo2", 0],
             ["prob2", "algo2", 0],
         ],
@@ -112,12 +106,9 @@ def test_create_solution_times_walltime():
         data=[
             ["prob1", "algo1", 0, 0],
             ["prob1", "algo1", 1, 1],
-            #
             ["prob1", "algo2", 2, 2],
             ["prob1", "algo2", 3, 3],
-            #
             ["prob2", "algo1", 5, 5],
-            #
             ["prob2", "algo2", 0, 0],
             ["prob2", "algo2", 1, 1],
         ],