UPDATE: .coveragerc and utils

.coveragerc

@@ -29,8 +29,11 @@ exclude_lines =
     fig_legend.legend
     fig_legend.savefig
     if is_tex:
-    if int_init
-    if path_save
+    if Y_test_truth is not None:
+    if path_save is not None and str_postfix is not None:
     if is_legend:
     if not is_legend:
     if is_std:
+    if is_marker:
+    if is_zero_axis:
+    if is_acq_axis_small:

bayeso/utils/utils_bo.py

@@ -96,6 +96,7 @@ def optimize_many_(model_bo, fun_target, X_train, Y_train, int_iter,
         next_point, next_points, acquisitions, _, _, _ = model_bo.optimize(X_final, Y_final, str_initial_method=str_initial_method_ao, int_samples=int_samples_ao)
         if model_bo.debug:
             print('[DEBUG] optimize_many_ in utils_bo.py: next_point', next_point)
+        # TODO: I think this if statement has precision or type issue in Python 3.6. Check coveralls.
         if np.where(np.sum(next_point == X_final, axis=1) == X_final.shape[1])[0].shape[0] > 0:
             print(X_final)
             next_point = get_next_best_acquisition(next_points, acquisitions, X_final)

bayeso/utils/utils_plotting.py

@@ -235,8 +235,8 @@ def plot_minimum_time(arr_times, arr_minima, list_str_label, int_init, is_std,
     fig = plt.figure(figsize=(8, 6))
     ax = plt.gca()
 
-    list_x_data = []
-    for ind_minimum, arr_minimum in enumerate(arr_minima):
+    list_x_data = [] # pragma: no cover
+    for ind_minimum, arr_minimum in enumerate(arr_minima): # pragma: no cover
         ind_color = ind_minimum % len(colors)
         ind_marker = ind_minimum % len(markers)
         _, mean_min, std_min = utils_common.get_minimum(arr_minimum, int_init)