Description: Allow some numba errors on 32-bit

Specifying the exception type allows only explicit errors,
not silently wrong answers

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no

--- a/pandas/tests/groupby/conftest.py
+++ b/pandas/tests/groupby/conftest.py
@@ -11,6 +11,11 @@ from pandas.core.groupby.base import (
     reduction_kernels,
     transformation_kernels,
 )
+from pandas.compat import IS64
+try:
+    from numba.core.errors import UnsupportedParforsError
+except ImportError:  # numba not installed
+    UnsupportedParforsError = ImportError
 
 
 @pytest.fixture(params=[True, False])
@@ -153,7 +158,22 @@ def groupby_func(request):
     return request.param
 
 
-@pytest.fixture(params=[True, False])
+# the xfail is because numba does not support this on 32-bit systems
+# https://github.com/numba/numba/blob/main/numba/parfors/parfors.py
+# strict=False because some tests are of error paths that
+# fail of something else before reaching this point
+@pytest.fixture(params=[
+                    pytest.param(
+                        True,
+                        marks=pytest.mark.xfail(
+                            condition=not IS64,
+                            reason="parfors not available on 32-bit",
+                            raises=UnsupportedParforsError,
+                            strict=False,
+                        )
+                    ),
+                    False,
+                ])
 def parallel(request):
     """parallel keyword argument for numba.jit"""
     return request.param
--- a/pandas/tests/window/conftest.py
+++ b/pandas/tests/window/conftest.py
@@ -13,6 +13,12 @@ from pandas import (
     Series,
     bdate_range,
 )
+from pandas.compat import IS64
+try:
+    from numba.core.errors import UnsupportedParforsError, TypingError
+except ImportError:  # numba not installed
+    UnsupportedParforsError = ImportError
+    TypingError = ImportError
 
 
 @pytest.fixture(params=[True, False])
@@ -50,7 +56,22 @@ def min_periods(request):
     return request.param
 
 
-@pytest.fixture(params=[True, False])
+# the xfail is because numba does not support this on 32-bit systems
+# https://github.com/numba/numba/blob/main/numba/parfors/parfors.py
+# strict=False because some tests are of error paths that
+# fail of something else before reaching this point
+@pytest.fixture(params=[
+                    pytest.param(
+                        True,
+                        marks=pytest.mark.xfail(
+                            condition=not IS64,
+                            reason="parfors not available on 32-bit",
+                            raises=(UnsupportedParforsError, TypingError),
+                            strict=False,
+                        )
+                    ),
+                    False,
+                ])
 def parallel(request):
     """parallel keyword argument for numba.jit"""
     return request.param
--- a/pandas/tests/window/test_numba.py
+++ b/pandas/tests/window/test_numba.py
@@ -1,6 +1,12 @@
 import numpy as np
 import pytest
 
+from pandas.compat import IS64
+try:
+    from numba.core.errors import UnsupportedParforsError, TypingError
+except ImportError:  # numba not installed
+    UnsupportedParforsError = ImportError
+    TypingError = ImportError
 from pandas.errors import NumbaUtilError
 import pandas.util._test_decorators as td
 
@@ -186,6 +192,12 @@ class TestEngine:
         expected = DataFrame({"value": [2.0, 2.0, 2.0]})
         tm.assert_frame_equal(result, expected)
 
+    @pytest.mark.xfail(
+        condition=not IS64,
+        reason="parfors not available on 32-bit",
+        raises=UnsupportedParforsError,
+        strict=False,
+    )
     def test_dont_cache_engine_kwargs(self):
         # If the user passes a different set of engine_kwargs don't return the same
         # jitted function
@@ -326,6 +338,12 @@ class TestTableMethod:
                 f, engine="numba", raw=True
             )
 
+    @pytest.mark.xfail(
+        condition=not IS64,
+        reason="parfors not available on 32-bit",
+        raises=(UnsupportedParforsError, TypingError),
+        strict=False,
+    )
     def test_table_method_rolling_methods(
         self,
         axis,
@@ -408,6 +426,12 @@ class TestTableMethod:
         )
         tm.assert_frame_equal(result, expected)
 
+    @pytest.mark.xfail(
+        condition=not IS64,
+        reason="parfors not available on 32-bit",
+        raises=(UnsupportedParforsError, TypingError),
+        strict=False,
+    )
     def test_table_method_expanding_methods(
         self, axis, nogil, parallel, nopython, arithmetic_numba_supported_operators
     ):
--- a/pandas/tests/groupby/aggregate/test_numba.py
+++ b/pandas/tests/groupby/aggregate/test_numba.py
@@ -11,6 +11,12 @@ from pandas import (
     option_context,
 )
 import pandas._testing as tm
+from pandas.compat import IS64
+try:
+    from numba.core.errors import UnsupportedParforsError, TypingError
+except ImportError:  # numba not installed
+    UnsupportedParforsError = ImportError
+    TypingError = ImportError
 
 pytestmark = pytest.mark.single_cpu
 
@@ -252,6 +258,12 @@ def test_multifunc_numba_vs_cython_serie
         ),
     ],
 )
+@pytest.mark.xfail(
+    condition=not IS64,
+    reason="parfors not available on 32-bit",
+    raises=UnsupportedParforsError,
+    strict=False,
+)
 def test_multifunc_numba_kwarg_propagation(data, agg_kwargs):
     pytest.importorskip("numba")
     labels = ["a", "a", "b", "b", "a"]