Replace code snippet with minimal self-contained example for inplace_on_inputs

doc/extending/inplace.rst

@@ -219,11 +219,67 @@ those inputs where it is safe and beneficial to do so.
 
 .. testcode::
 
-   def inplace_on_inputs(self, allowed_inplace_inputs: list[int]) -> "Op":
-       """Try to return a version of self that tries to inplace in as many as `allowed_inplace_inputs`."""
-       # Implementation would create a new Op with appropriate destroy_map
-       # Return self by default if no inplace version is available
-       return self
+   import numpy as np
+   import pytensor
+   import pytensor.tensor as pt
+   from pytensor.graph.basic import Apply
+   from pytensor.graph.op import Op
+   from pytensor.tensor.blockwise import Blockwise
+
+   class MyOpWithInplace(Op):
+       __props__ = ("destroy_a",)
+
+       def __init__(self, destroy_a):
+           self.destroy_a = destroy_a
+           if destroy_a:
+               self.destroy_map = {0: [0]}
+
+       def make_node(self, a):
+           return Apply(self, [a], [a.type()])
+
+       def perform(self, node, inputs, output_storage):
+           [a] = inputs
+           if not self.destroy_a:
+               a = a.copy()
+           a[0] += 1
+           output_storage[0][0] = a
+
+       def inplace_on_inputs(self, allowed_inplace_inputs):
+           if 0 in allowed_inplace_inputs:
+               return MyOpWithInplace(destroy_a=True)
+           return self
+
+   a = pt.vector("a")
+   # Only Blockwise trigger inplace automatically for now
+   # Since the Blockwise isn't needed in this case, it will be removed after the inplace optimization
+   op = Blockwise(MyOpWithInplace(destroy_a=False), signature="(a)->(a)")
+   out = op(a)
+
+   # Give PyTensor permission to inplace on user provided inputs
+   fn = pytensor.function([pytensor.In(a, mutable=True)], out)
+   
+   # Confirm that we have the inplace version of the Op 
+   fn.dprint(print_destroy_map=True)
+
+.. testoutput::
+
+   Blockwise{MyOpWithInplace{destroy_a=True}, (a)->(a)} [id A] ''   5
+    └─ a [id B]
+
+The output shows that the function now uses the inplace version (`destroy_a=True`).
+
+.. testcode::
+
+   # Test that inplace modification works
+   test_a = np.zeros(5)
+   result = fn(test_a)
+   print("Function result:", result)
+   print("Original array after function call:", test_a)
+
+.. testoutput::
+
+   Function result: [1. 0. 0. 0. 0.]
+   Original array after function call: [1. 0. 0. 0. 0.]
 
 Currently, this method is primarily used with Blockwise operations through PyTensor's
 rewriting system, but it will be extended to support core ops directly in future versions.