Move scalarconsts_rest to math_opt

aesara/tensor/basic_opt.py

@@ -113,24 +113,6 @@ def merge_broadcastables(broadcastables):
     return [all(bcast) for bcast in zip(*broadcastables)]
 
 
-def scalarconsts_rest(inputs, elemwise=True, only_process_constants=False):
-    """Partition a list of variables into two kinds:
-    scalar constants, and the rest."""
-    consts = []
-    origconsts = []
-    nonconsts = []
-    for i in inputs:
-        try:
-            v = get_scalar_constant_value(
-                i, elemwise=elemwise, only_process_constants=only_process_constants
-            )
-            consts.append(v)
-            origconsts.append(i)
-        except NotScalarConstantError:
-            nonconsts.append(i)
-    return consts, origconsts, nonconsts
-
-
 def broadcast_like(value, template, fgraph, dtype=None):
     """
     Return a Variable with the same shape and dtype as the template,

aesara/tensor/math_opt.py

@@ -48,7 +48,6 @@ from aesara.tensor.basic_opt import (
     register_stabilize,
     register_uncanonicalize,
     register_useless,
-    scalarconsts_rest,
 )
 from aesara.tensor.elemwise import CAReduce, DimShuffle, Elemwise
 from aesara.tensor.exceptions import NotScalarConstantError
@@ -101,6 +100,24 @@ _logger = logging.getLogger("aesara.tensor.math_opt")
 _logger.addFilter(NoDuplicateOptWarningFilter())
 
 
+def scalarconsts_rest(inputs, elemwise=True, only_process_constants=False):
+    """Partition a list of variables into two kinds:
+    scalar constants, and the rest."""
+    consts = []
+    origconsts = []
+    nonconsts = []
+    for i in inputs:
+        try:
+            v = get_scalar_constant_value(
+                i, elemwise=elemwise, only_process_constants=only_process_constants
+            )
+            consts.append(v)
+            origconsts.append(i)
+        except NotScalarConstantError:
+            nonconsts.append(i)
+    return consts, origconsts, nonconsts
+
+
 def get_constant(v):
     """