Replace not x.owner by x.owner is None

pytensor/graph/rewriting/unify.py

@@ -173,7 +173,7 @@ def _unify_Variable_Variable(u, v, s):
         yield s
         return
 
-    if not u.owner and not v.owner:
+    if u.owner is None and v.owner is None:
         yield False
         return
 
@@ -201,7 +201,7 @@ _unify.add((Constant, Constant, Mapping), _unify_Constant_Constant)
 
 def _unify_Variable_ExpressionTuple(u, v, s):
     # `Constant`s are "atomic"
-    if not u.owner:
+    if u.owner is None:
         yield False
         return
 

pytensor/link/utils.py

@@ -445,7 +445,7 @@ def raise_with_op(
                     sz = np.dtype(dtype).itemsize * np.prod(shapeinfo)
                     storage_map_item.append(sz)
                     total_size += sz
-                    if not k.owner:
+                    if k.owner is None:
                         total_size_inputs += sz
                     else:
                         # If it is a view, don't count it twice.

pytensor/printing.py

@@ -1339,7 +1339,7 @@ def pydotprint(
     if cond_highlight is not None:
 
         def recursive_pass(x, ls):
-            if not x.owner:
+            if x.owner is None:
                 return ls
             else:
                 ls += [x.owner]

pytensor/tensor/rewriting/subtensor.py

@@ -396,7 +396,7 @@ def local_subtensor_lift(fgraph, node):
     """
     if isinstance(node.op, Subtensor):
         u = node.inputs[0]
-        if not u.owner or len(fgraph.clients[u]) > 1:
+        if u.owner is None or len(fgraph.clients[u]) > 1:
             return False
 
         if isinstance(u.owner.op, Elemwise) and len(u.owner.inputs) == 1:

pytensor/tensor/subtensor.py

@@ -1400,7 +1400,7 @@ def inc_subtensor(
             # We insert a SpecifyShape Op to make sure it is the case.
             y = specify_broadcastable(y, dim)
 
-    if not x.owner:
+    if x.owner is None:
         raise TypeError("x must be the result of a subtensor operation")
 
     # retrieve idx_list from x.owner