From e6638bb9ede616f3d20094f041934670a6ebb1ae Mon Sep 17 00:00:00 2001
From: Katherine Mantel <kmantel@princeton.edu>
Date: Thu, 26 Jan 2023 21:18:55 -0500
Subject: [PATCH 1/2] GradientOptimization: fix potentially uninitialized local
 variable

---
 .../components/functions/nonstateful/optimizationfunctions.py   | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py b/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
index d64947cc55f..1adad1270bb 100644
--- a/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
+++ b/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
@@ -1189,6 +1189,8 @@ def reset(self, default_variable=None, objective_function=None, context=None, **
 
         if self.owner:
             owner_str = ' of {self.owner.name}'
+        else:
+            owner_str = ''
 
         # Get bounds from search_space if it has any non-None entries
         if any(i is not None for i in self.search_space):

From 93b54115a5e9f6397d6830e73438a330ddeb4d35 Mon Sep 17 00:00:00 2001
From: Katherine Mantel <kmantel@princeton.edu>
Date: Fri, 9 Dec 2022 22:52:51 -0500
Subject: [PATCH 2/2] GradientOptimization: fix error on default bounds

bounds are checked only during reset, and the default value of
search_space causes this to fail (lower == upper)
---
 .../components/functions/nonstateful/optimizationfunctions.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py b/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
index 1adad1270bb..db49504e52b 100644
--- a/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
+++ b/psyneulink/core/components/functions/nonstateful/optimizationfunctions.py
@@ -1245,9 +1245,9 @@ def reset(self, default_variable=None, objective_function=None, context=None, **
                 # Array specified for upper bound, so replace any None's with +inf
                 upper = np.array([[float('inf')] if n[0] is None else n for n in upper.reshape(sample_len,1)])
 
-                if not all(lower<upper):
+                if not all(lower <= upper):
                     raise OptimizationFunctionError(f"Specification of {repr(BOUNDS)} arg ({bounds}) for {self.name}"
-                                                    f"{owner_str} resulted in lower >= corresponding upper for one or "
+                                                    f"{owner_str} resulted in lower > corresponding upper for one or "
                                                     f"more elements (lower: {lower.tolist()}; uuper: {upper.tolist()}).")
 
                 bounds = (lower,upper)