Performed the changes suggested by the BOT

Author: arunthakur009

keras/src/backend/openvino/numpy.py

@@ -1108,36 +1108,26 @@ def meshgrid(*x, indexing="xy"):
     shapes = [ov_opset.shape_of(t, Type.i64).output(0) for t in tensors]   # each is [Ni]
     one = ov_opset.constant([1], Type.i64).output(0)
 
-    if indexing == "xy" and n >= 2:
-        out_shape = ov_opset.concat([shapes[1], shapes[0]] + shapes[2:], axis=0).output(0)
-    else:
+    if indexing == "xy":
+        shape_list = [shapes[1], shapes[0]] + shapes[2:]
+        out_shape = ov_opset.concat(shape_list, axis=0).output(0)
+    else:  
         out_shape = ov_opset.concat(shapes, axis=0).output(0)
 
     outputs = []
     for i, t in enumerate(tensors):
-        parts = []
-        for axis in range(n):
-            if indexing == "xy" and n >= 2:
-                if i == 0:
-                    if axis == 0:
-                        parts.append(one)
-                    elif axis == 1:
-                        parts.append(shapes[0])
-                    else:
-                        parts.append(one if axis != i else shapes[i])  
-                elif i == 1:
-                    if axis == 0:
-                        parts.append(shapes[1])
-                    elif axis == 1:
-                        parts.append(one)
-                    else:
-                        parts.append(one if axis != i else shapes[i])  
-                else:
-                    parts.append(shapes[i] if axis == i else one)
+        reshape_parts = [one] * n
+        if indexing == "xy":
+            if i == 0:
+                reshape_parts[1] = shapes[0]
+            elif i == 1:
+                reshape_parts[0] = shapes[1]
             else:
-                parts.append(shapes[i] if axis == i else one)
+                reshape_parts[i] = shapes[i]
+        else:  
+            reshape_parts[i] = shapes[i]
 
-        reshape_shape = ov_opset.concat(parts, axis=0).output(0)
+        reshape_shape = ov_opset.concat(reshape_parts, axis=0).output(0)
         reshaped = ov_opset.reshape(t, reshape_shape, False).output(0)
         broadcasted = ov_opset.broadcast(reshaped, out_shape).output(0)
         outputs.append(OpenVINOKerasTensor(broadcasted))