diff --git a/kernel_tuner/accuracy.py b/kernel_tuner/accuracy.py
index 4dc59109b..1e958198b 100644
--- a/kernel_tuner/accuracy.py
+++ b/kernel_tuner/accuracy.py
@@ -109,7 +109,7 @@ def __init__(
             # We convert the array into a `np.ndarray` by using `np.array`.
             # However, if the value is a numpy scalar, then we do not want to
             # convert it into an array but instead keep the original value
-            if not np.isinstance(array, np.generic)
+            if not isinstance(array, np.generic):
                 array = np.array(array)
 
             arrays[precision] = array.astype(dtype)
diff --git a/kernel_tuner/core.py b/kernel_tuner/core.py
index 7deb38678..f8e8e90da 100644
--- a/kernel_tuner/core.py
+++ b/kernel_tuner/core.py
@@ -607,7 +607,7 @@ def ready_argument_list(self, arguments):
             else:
                 flat_args.append(argument)
 
-        flag_gpu_args = iter(self.dev.ready_argument_list(flat_args))
+        flat_gpu_args = iter(self.dev.ready_argument_list(flat_args))
 
         # Unflatten the arguments back into arrays.
         gpu_args = []
@@ -615,11 +615,11 @@ def ready_argument_list(self, arguments):
             if isinstance(argument, Tunable):
                 arrays = dict()
                 for key in argument:
-                    arrays[key] = next(flag_gpu_args)
+                    arrays[key] = next(flat_gpu_args)
 
                 gpu_args.append(Tunable(argument.param_key, arrays))
             else:
-                gpu_args.append(next(flag_gpu_args))
+                gpu_args.append(next(flat_gpu_args))
 
         return gpu_args