Remove unused numba_vectorize

Author: ricardoV94

pytensor/link/numba/dispatch/basic.py

@@ -87,13 +87,6 @@ def numba_njit(*args, fastmath=None, **kwargs):
     return numba.njit(*args, fastmath=fastmath, **kwargs)
 
 
-def numba_vectorize(*args, **kwargs):
-    if len(args) > 0 and callable(args[0]):
-        return numba.vectorize(*args[1:], cache=config.numba__cache, **kwargs)(args[0])
-
-    return numba.vectorize(*args, cache=config.numba__cache, **kwargs)
-
-
 def get_numba_type(
     pytensor_type: Type,
     layout: str = "A",

tests/link/numba/test_basic.py

@@ -182,7 +182,6 @@ def py_global_numba_func(func):
 
     mocks = [
         mock.patch("numba.njit", njit_noop),
-        mock.patch("numba.vectorize", vectorize_noop),
         mock.patch(
             "pytensor.link.numba.dispatch.basic.global_numba_func",
             py_global_numba_func,
@@ -191,9 +190,6 @@ def py_global_numba_func(func):
             "pytensor.link.numba.dispatch.basic.tuple_setitem", py_tuple_setitem
         ),
         mock.patch("pytensor.link.numba.dispatch.basic.numba_njit", njit_noop),
-        mock.patch(
-            "pytensor.link.numba.dispatch.basic.numba_vectorize", vectorize_noop
-        ),
         mock.patch(
             "pytensor.link.numba.dispatch.basic.direct_cast", lambda x, dtype: x
         ),