use empty string instead of None

mdolab · Apr 23, 2024 · 864c561 · 864c561
1 parent 44a9ed2
commit 864c561
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Showing 4 changed files with 4 additions and 12 deletions.
diff --git a/pyoptsparse/pyALPSO/pyALPSO.py b/pyoptsparse/pyALPSO/pyALPSO.py
@@ -192,9 +192,7 @@ def objconfunc(x):
             self.optProb.comm.bcast(-1, root=0)
 
             # Store Results
-            sol_inform = {}
-            sol_inform["value"] = None
-            sol_inform["text"] = None
+            sol_inform = {"value": "", "text": ""}
 
             # Create the optimization solution
             sol = self._createSolution(optTime, sol_inform, opt_f, opt_x)

diff --git a/pyoptsparse/pyCONMIN/pyCONMIN.py b/pyoptsparse/pyCONMIN/pyCONMIN.py
@@ -241,9 +241,7 @@ def cnmngrad(n1, n2, x, f, g, ct, df, a, ic, nac):
             self.optProb.comm.bcast(-1, root=0)
 
             # Store Results
-            sol_inform = {}
-            sol_inform["value"] = None
-            sol_inform["text"] = None
+            sol_inform = {"value": "", "text": ""}
 
             # Create the optimization solution
             sol = self._createSolution(optTime, sol_inform, ff, xs)

diff --git a/pyoptsparse/pyNSGA2/pyNSGA2.py b/pyoptsparse/pyNSGA2/pyNSGA2.py
@@ -181,9 +181,7 @@ def objconfunc(nreal, nobj, ncon, x, f, g):
             self.optProb.comm.bcast(-1, root=0)
 
             # Store Results
-            sol_inform = {}
-            sol_inform["value"] = None
-            sol_inform["text"] = None
+            sol_inform = {"value": "", "text": ""}
 
             xstar = [0.0] * n
             for i in range(n):

diff --git a/pyoptsparse/pyParOpt/ParOpt.py b/pyoptsparse/pyParOpt/ParOpt.py
@@ -235,9 +235,7 @@ def evalObjConGradient(self, x, g, A):
             # Create the optimization solution. Note that the signs on the multipliers
             # are switch since ParOpt uses a formulation with c(x) >= 0, while pyOpt
             # uses g(x) = -c(x) <= 0. Therefore the multipliers are reversed.
-            sol_inform = {}
-            sol_inform["value"] = None
-            sol_inform["text"] = None
+            sol_inform = {"value": "", "text": ""}
 
             # If number of constraints is zero, ParOpt returns z as None.
             # Thus if there is no constraints, should pass an empty list