Ensemble: Add standard derivation computation.

src/Solver/Mage.py

@@ -1621,26 +1621,33 @@ class Mage8(Mage):
             res["z_mean"] = z
             res["q_mean"] = q
 
+            res["z_tmp_M2"] = np.zeros(z.shape)
+            res["q_tmp_M2"] = np.zeros(q.shape)
+
+            res["z_std_derivation"] = np.zeros(z.shape)
+            res["q_std_derivation"] = np.zeros(q.shape)
+
             res["z_min"] = z
             res["z_max"] = z
 
             res["q_min"] = q
             res["q_max"] = q
-
-            res["res_z_min"] = []
-            res["res_z_mean"] = []
-            res["res_z_max"] = []
-
-            res["res_q_min"] = []
-            res["res_q_mean"] = []
-            res["res_q_max"] = []
-
-            res["traces"] = []
         else:
             # Get mean results for Z and Q
             n = run_number
-            res["z_mean"] = (res["z_mean"] * n + z) / (n + 1)
+            for x, txt in [(z, "z"), (q, "q")]:
-            res["q_mean"] = (res["q_mean"] * n + q) / (n + 1)
+                t_mean = f"{txt}_mean"
+                t_M2 = f"{txt}_tmp_M2"
+                t_std_deriv = f"{txt}_std_derivation"
+
+                delta = x - res[t_mean]
+
+                res[t_mean] += delta / n
+
+                delta_2 = x - res[t_mean]
+
+                res[t_M2] += delta * delta_2
+                res[t_std_deriv] = np.sqrt(res[t_M2] / n)
 
             # Z and Q min max values
             res["z_min"] = np.minimum(z, res["z_min"])
@@ -1648,15 +1655,6 @@ class Mage8(Mage):
             res["q_min"] = np.minimum(q, res["q_min"])
             res["q_max"] = np.maximum(q, res["q_max"])
 
-        # Keep results min, mean and max
-        # res["res_z_min"].append((run_number, np.min(z, axis=0)))
-        # res["res_z_mean"].append((run_number, np.mean(z, axis=0)))
-        # res["res_z_max"].append((run_number, np.max(z, axis=0)))
-
-        # res["res_q_min"].append((run_number, np.min(q, axis=0)))
-        # res["res_q_mean"].append((run_number, np.mean(q, axis=0)))
-        # res["res_q_max"].append((run_number, np.max(q, axis=0)))
-
     @timer
     def results_ensemble(self, study, repertory,
                          tables, run_number,

src/View/RunSolver/Window.py

@@ -576,25 +576,10 @@ class SolverLogEnsWindow(SolverLogWindow):
         table = {}
 
         for key in ["z", "q"]:
-            for func in ["min", "mean", "max"]:
+            for func in ["min", "mean", "max", "std_derivation"]:
                 name = f"{key}_{func}"
                 table[name] = results.new_table_data(name, tables[name])
 
-                name = f"res_{name}"
-                table[name] = results.new_table_data(
-                    name,
-                    np.array(
-                        list(map(lambda e: e[1], tables[name]))
-                    )
-                )
-
-        # for nb, data in tables["traces"]:
-        #     name = f"{nb}_"
-        #     table[name + "z"] = results.new_table_data(name + "z",
-        #                                                data["Z"])
-        #     table[name + "q"] = results.new_table_data(name + "q",
-        #                                                data["Q"])
-
         table["samples"] = results.new_table_data(
             "samples", np.array(self._run_samples)
         )