Ignore numba object mode warning

pyproject.toml

@@ -121,6 +121,9 @@ tag_prefix = "rel-"
 addopts = "--durations=50 --doctest-modules --ignore=pytensor/link --ignore=pytensor/misc/check_duplicate_key.py --ignore=pytensor/ipython.py"
 testpaths = ["pytensor/", "tests/"]
 xfail_strict = true
+filterwarnings =[
+    'ignore:^Numba will use object mode to run.*perform method\.:UserWarning',
+]
 
 [tool.ruff]
 line-length = 88

tests/compile/function/test_types.py

@@ -36,7 +36,11 @@ from pytensor.tensor.type import (
 from tests.fixtures import *  # noqa: F403
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+pytestmark = pytest.mark.filterwarnings(
+    "error",
+    r"ignore:^Numba will use object mode to run.*perform method\.:UserWarning",
+    r"ignore:Cannot cache compiled function \"numba_funcified_fgraph\".*:numba.NumbaWarning",
+)
 
 
 def PatternOptimizer(p1, p2, ign=True):

tests/link/numba/signal/test_conv.py

@@ -10,7 +10,11 @@ from tests.link.numba.test_basic import compare_numba_and_py
 from tests.tensor.signal.test_conv import convolve1d_grad_benchmarker
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+pytestmark = pytest.mark.filterwarnings(
+    "error",
+    r"ignore:^Numba will use object mode to run.*perform method\.:UserWarning",
+    r"ignore:Cannot cache compiled function \"numba_funcified_fgraph\".*:numba.NumbaWarning",
+)
 
 
 @pytest.mark.parametrize("bcast_order", (1, 0))

tests/tensor/test_basic.py

@@ -151,7 +151,12 @@ from tests.tensor.utils import (
 )
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+pytestmark = pytest.mark.filterwarnings(
+    "error",
+    r"ignore:^Numba will use object mode to run.*perform method\.:UserWarning",
+    r"ignore:Cannot cache compiled function \"numba_funcified_fgraph\".*:numba.NumbaWarning",
+    r"ignore::numba.NumbaPerformanceWarning",
+)
 
 if config.mode == "FAST_COMPILE":
     mode_opt = "FAST_RUN"

tests/tensor/test_einsum.py

@@ -17,7 +17,11 @@ from pytensor.tensor.type import tensor
 
 
 # Fail for unexpected warnings in this file
-pytestmark = pytest.mark.filterwarnings("error")
+pytestmark = pytest.mark.filterwarnings(
+    "error",
+    r"ignore:^Numba will use object mode to run.*perform method\.:UserWarning",
+    r"ignore:Cannot cache compiled function \"numba_funcified_fgraph\".*:numba.NumbaWarning",
+)
 
 floatX = pytensor.config.floatX
 ATOL = RTOL = 1e-8 if floatX == "float64" else 1e-4

tests/tensor/test_variable.py

@@ -45,7 +45,11 @@ from pytensor.tensor.variable import (
 from tests.tensor.utils import random
 
 
-pytestmark = pytest.mark.filterwarnings("error")
+pytestmark = pytest.mark.filterwarnings(
+    "error",
+    r"ignore:^Numba will use object mode to run.*perform method\.:UserWarning",
+    r"ignore:Cannot cache compiled function \"numba_funcified_fgraph\".*:numba.NumbaWarning",
+)
 
 
 @pytest.mark.parametrize(