Fix test failures on 32-bit systems

Author: Rebecca N. Palmer <[email protected]>
Bug-Debian: partly https://bugs.debian.org/1026351
Forwarded: no


Gbp-Pq: Name tests_dont_assume_64bit.patch

Author: Debian Science Team

pandas/core/arrays/_ranges.py

@@ -162,9 +162,7 @@ def _generate_range_overflow_safe_signed(
                 # Putting this into a DatetimeArray/TimedeltaArray
                 #  would incorrectly be interpreted as NaT
                 raise OverflowError
-            # error: Incompatible return value type (got "signedinteger[_64Bit]",
-            # expected "int")
-            return result  # type: ignore[return-value]
+            return int(result)
         except (FloatingPointError, OverflowError):
             # with endpoint negative and addend positive we risk
             #  FloatingPointError; with reversed signed we risk OverflowError
@@ -185,9 +183,7 @@ def _generate_range_overflow_safe_signed(
             i64max = np.uint64(i8max)
             assert result > i64max
             if result <= i64max + np.uint64(stride):
-                # error: Incompatible return value type (got "unsignedinteger", expected
-                # "int")
-                return result  # type: ignore[return-value]
+                return int(result)
 
     raise OutOfBoundsDatetime(
         f"Cannot generate range with {side}={endpoint} and periods={periods}"

pandas/tests/frame/test_stack_unstack.py

@@ -1,6 +1,7 @@
 from datetime import datetime
 from io import StringIO
 import itertools
+import sys
 
 import numpy as np
 import pytest
@@ -1862,6 +1863,7 @@ def test_unstack_unobserved_keys(self):
         tm.assert_frame_equal(recons, df)
 
     @pytest.mark.slow
+    @pytest.mark.xfail(condition=sys.maxsize<2**33, reason="assumes default int is int64", strict=False)
     def test_unstack_number_of_levels_larger_than_int32(self, monkeypatch):
         # GH#20601
         # GH 26314: Change ValueError to PerformanceWarning

pandas/tests/reshape/test_pivot.py

@@ -4,6 +4,7 @@
     timedelta,
 )
 from itertools import product
+import sys
 
 import numpy as np
 import pytest
@@ -2018,6 +2019,7 @@ def test_pivot_string_func_vs_func(self, f, f_numpy):
         tm.assert_frame_equal(result, expected)
 
     @pytest.mark.slow
+    @pytest.mark.xfail(condition=sys.maxsize<2**33, reason="assumes default int is int64", strict=False)
     def test_pivot_number_of_levels_larger_than_int32(self, monkeypatch):
         # GH 20601
         # GH 26314: Change ValueError to PerformanceWarning

pandas/tests/series/methods/test_round.py

@@ -30,8 +30,7 @@ def test_round_numpy(self, any_float_dtype):
     def test_round_numpy_with_nan(self, any_float_dtype):
         # See GH#14197
         ser = Series([1.53, np.nan, 0.06], dtype=any_float_dtype)
-        with tm.assert_produces_warning(None):
-            result = ser.round()
+        result = ser.round() # on armhf, numpy warns
         expected = Series([2.0, np.nan, 0.0], dtype=any_float_dtype)
         tm.assert_series_equal(result, expected)
 

pandas/tests/test_downstream.py

@@ -311,7 +311,7 @@ def test_missing_required_dependency():
     for name in ["numpy", "pytz", "dateutil"]:
         assert name in output
 
-
+@pytest.mark.xfail(condition=sys.maxsize<2**33, reason="different nativesize-int vs int64 type rules", strict=False)
 def test_frame_setitem_dask_array_into_new_col():
     # GH#47128
 

pandas/tests/test_sorting.py

@@ -29,6 +29,7 @@
     lexsort_indexer,
     nargsort,
 )
+import sys
 
 
 @pytest.fixture
@@ -226,6 +227,7 @@ def test_nargsort(self, ascending, na_position, exp, box):
         tm.assert_numpy_array_equal(result, np.array(exp), check_dtype=False)
 
 
+@pytest.mark.xfail(condition=sys.maxsize<2**33, reason="assumes default int is int64", strict=False)#used to be just the first one but that's been split into several
 class TestMerge:
     def test_int64_overflow_outer_merge(self):
         # #2690, combinatorial explosion