More robust check for multiple integer indices in numba ravel_multidimensional_idx rewrites

pytensor/tensor/rewriting/subtensor.py

@@ -85,7 +85,7 @@ from pytensor.tensor.subtensor import (
     inc_subtensor,
     indices_from_subtensor,
 )
-from pytensor.tensor.type import TensorType
+from pytensor.tensor.type import TensorType, integer_dtypes
 from pytensor.tensor.type_other import NoneTypeT, SliceConstant, SliceType
 from pytensor.tensor.variable import TensorConstant, TensorVariable
 
@@ -1981,7 +1981,7 @@ def ravel_multidimensional_bool_idx(fgraph, node):
 
     if any(
         (
-            (isinstance(idx.type, TensorType) and idx.type.dtype.startswith("int"))
+            (isinstance(idx.type, TensorType) and idx.type.dtype in integer_dtypes)
             or isinstance(idx.type, NoneTypeT)
         )
         for idx in idxs
@@ -2052,7 +2052,7 @@ def ravel_multidimensional_int_idx(fgraph, node):
     int_idxs = [
         (i, idx)
         for i, idx in enumerate(idxs)
-        if (isinstance(idx.type, TensorType) and idx.dtype.startswith("int"))
+        if (isinstance(idx.type, TensorType) and idx.dtype in integer_dtypes)
     ]
 
     if len(int_idxs) != 1: