Ensemble: Set custom seed.

src/View/MainWindow.py

@@ -1609,10 +1609,13 @@ class ApplicationWindow(QMainWindow, ListedSubWindow, WindowToolKit):
             parent=self
         )
         if dlg.exec():
-            run_number = dlg._number
+            function = dlg.function
+            run_number = dlg.number
+            seed = dlg.seed
 
             sol = SolverLogEnsWindow(
                 run_number=run_number,
+                seed=seed, function=function,
                 study=self._study,
                 config=self.conf,
                 solver=solver,

src/View/RunSolver/Window.py

@@ -71,6 +71,10 @@ class EnsembleRunNumberDialog(PamhyrDialog):
             parent=parent
         )
 
+        self._function = "Random"
+        self._number = 100
+        self._seed = -1
+
         self._init_default_values()
         self._init_connection()
 
@@ -91,9 +95,21 @@ class EnsembleRunNumberDialog(PamhyrDialog):
     def number(self):
         return self._number
 
+    @property
+    def seed(self):
+        return self._seed
+
+    @property
+    def function(self):
+        return self._function
+
     def accept(self):
+        self._function = self.get_combobox_text("comboBox")
         self._number = self.get_spin_box("spinBox")
 
+        if self._checkbox.isChecked():
+            self._seed = self.get_spin_box("spinBox_seed")
+
         super().accept()
 
     def reject(self):
@@ -475,14 +491,25 @@ class SolverLogEnsWindow(SolverLogWindow):
     _pamhyr_name = "Solver Log Ensemble"
 
     def __init__(self, run_number=100,
+                 seed=-1, function="Random",
                  study=None, config=None,
                  solver=None, parent=None):
         self._run_number = run_number
         self._last_run = 0
 
+        if seed != -1:
+            np.random.seed(seed)
+
+        self._seed = np.random.get_state()[1][0]
+        logger.info(
+            "solver: Set ensemble with " +
+            f"{run_number} {function} and " +
+            f"{self._seed} as random seed"
+        )
+
         self._samples = {}
         for ens in study.river._ensembles.lst:
-            if ens.function is None:
+            if ens.distribution is None:
                 continue
 
             self._samples[ens] = ens.random(self._run_number)
@@ -571,6 +598,7 @@ class SolverLogEnsWindow(SolverLogWindow):
         table["samples"] = results.new_table_data(
             "samples", np.array(self._run_samples)
         )
+        results.set("seed", self._seed) # Keep random seed
 
         results.set("table", table)