Yes, I can provide you with a sample Python code to implement a POWL model for a hypothetical Purchase-to-Pay process using the pm4py library.
```python
import pm4py
from pm4py.objects.powl.obj import StrictPartialOrder, OperatorPOWL, Transition, SilentTransition
from pm4py.objects.process_tree.obj import Operator
# Define the nodes and transitions for the Purchase-to-Pay process
A = Transition(label="A")
B = Transition(label="B")
C = Transition(label="C")
D = Transition(label="D")
E = Transition(label="E")
F = Transition(label="F")
G = Transition(label="G")
H = Transition(label="H")
I = Transition(label="I")
skip = SilentTransition()

# Define the loop and xor operators
loop = OperatorPOWL(operator=Operator.LOOP, children=[A, B])
xor = OperatorPOWL(operator=Operator.XOR, children=[C, skip, D, E, F])

# Define the strict partial order for the nodes
root = StrictPartialOrder(nodes=[loop, xor, H, I])

# Add edges to define the execution order between the nodes
root.order.add_edge(loop, xor)
root.order.add_edge(xor, H)
root.order.add_edge(H, I)

# Display the POWL model
print(root)
```
This code creates a POWL model for the Purchase-to-Pay process with the following transitions and execution order:
1. A
2. B (loop back to 1 if necessary)
3. C
4. D (xor with C)
5. E
6. F (xor with D)
7. G
8. H
9. I