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TMIDIX.py

@@ -4726,7 +4726,8 @@ def augment_enhanced_score_notes(enhanced_score_notes,
                                   timings_divider=16,
                                   full_sorting=True,
                                   timings_shift=0,
-                                  pitch_shift=0
+                                  pitch_shift=0,
+                                  legacy_timings=False
                                 ):
 
     esn = copy.deepcopy(enhanced_score_notes)
@@ -4745,6 +4746,9 @@ def augment_enhanced_score_notes(enhanced_score_notes,
       else:
         dtime = int(dtime)
 
+      if legacy_timings:
+        abs_time = int(e[1] / timings_divider) + timings_shift
+
       e[1] = max(0, abs_time + timings_shift)
 
       e[2] = max(1, int(e[2] / timings_divider)) + timings_shift

TPLOTS.py

@@ -966,7 +966,7 @@ def square_image_matrix(image_matrix,
       pca = PCA(n_components=num_pca_components)
       pca.fit(group)
       
-      principal_component = pca.components_[0]
+      principal_component = np.mean(pca.components_, axis=0)
       contributions = np.dot(group, principal_component)
       selected_row_index = np.argmax(contributions)