Update to lambda functions

Co-authored-by: Brady Planden <[email protected]>

pybop/optimisers/base_optimiser.py

@@ -189,13 +189,9 @@ def _run(self):
 
         # Choose method to evaluate
         if self._needs_sensitivities:
-
-            def f(x):
-                return self.cost.evaluateS1(x, minimising=self._minimising)
+            f = lambda x: self.cost.evaluateS1(x, minimising=self._minimising)
         else:
-
-            def f(x, grad=None):
-                return self.cost(x, grad, minimising=self._minimising)
+            f = lambda x, grad=None: self.cost(x, grad, minimising=self._minimising)
 
         # Create evaluator object
         if self._parallel: