Remove npy<2 compatibility for OverflowError

pytensor/npy_2_compat.py

@@ -35,11 +35,6 @@ else:
     ndarray_c_version = np.core._multiarray_umath._get_ndarray_c_version()  # type: ignore[attr-defined]
 
 
-# used in tests: the type of error thrown if a value is too large for the specified
-# numpy data type is different in numpy 2.x
-UintOverflowError = OverflowError if using_numpy_2 else TypeError
-
-
 # to patch up some of the C code, we need to use these special values...
 if using_numpy_2:
     numpy_axis_is_none_flag = np.iinfo(np.int32).min  # the value of "NPY_RAVEL_AXIS"

tests/compile/function/test_function.py

@@ -10,7 +10,6 @@ from pytensor.compile import shared
 from pytensor.compile.function import function, function_dump
 from pytensor.compile.io import In
 from pytensor.configdefaults import config
-from pytensor.npy_2_compat import UintOverflowError
 from pytensor.tensor.type import (
     bscalar,
     bvector,
@@ -176,11 +175,11 @@ class TestFunctionIn:
         assert np.array_equal(f([2**20], np.ones(1, dtype="int8"), 1), [2])
 
         # Value too big for b, raises OverflowError (in numpy >= 2.0... TypeError in numpy < 2.0)
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             f([3], [312], 1)
 
         # Value too big for c, raises OverflowError
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             f([3], [6], 806)
 
     def test_in_allow_downcast_floatX(self):

tests/compile/function/test_pfunc.py

@@ -9,7 +9,6 @@ from pytensor.compile.io import In
 from pytensor.compile.sharedvalue import shared
 from pytensor.configdefaults import config
 from pytensor.graph.utils import MissingInputError
-from pytensor.npy_2_compat import UintOverflowError
 from pytensor.tensor.math import sum as pt_sum
 from pytensor.tensor.type import (
     bscalar,
@@ -239,11 +238,11 @@ class TestPfunc:
         assert np.all(f([2**20], np.ones(1, dtype="int8"), 1) == 2)
 
         # Value too big for b, raises OverflowError in numpy >= 2.0, TypeError in numpy <2.0
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             f([3], [312], 1)
 
         # Value too big for c, raises OverflowError in numpy >= 2.0, TypeError in numpy <2.0
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             f([3], [6], 806)
 
     def test_param_allow_downcast_floatX(self):
@@ -329,7 +328,7 @@ class TestPfunc:
             g([3], np.array([6], dtype="int16"), 0)
 
         # Value too big for b, raises OverflowError in numpy >= 2.0, TypeError in numpy <2.0
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             g([3], [312], 0)
 
         h = pfunc([a, b, c], (a + b + c))  # Default: allow_input_downcast=None
@@ -340,7 +339,7 @@ class TestPfunc:
             h([3], np.array([6], dtype="int16"), 0)
 
         # Value too big for b, raises OverflowError in numpy >= 2.0, TypeError in numpy <2.0
-        with pytest.raises(UintOverflowError):
+        with pytest.raises(OverflowError):
             h([3], [312], 0)
 
     def test_allow_downcast_floatX(self):