TST/CI: fix 32bit dtype tests pandas-dev#36579, pandas-dev#32709

Author: fangchenli

pandas/tests/arrays/floating/test_function.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat import IS64
+
 import pandas as pd
 import pandas._testing as tm
 
@@ -82,10 +84,15 @@ def test_ufunc_reduce_raises(values):
     ],
 )
 def test_stat_method(pandasmethname, kwargs):
-    s = pd.Series(data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, np.nan, np.nan], dtype="Float64")
+    s = pd.Series(
+        data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, np.nan, np.nan],
+        dtype="Float64" if IS64 else "Float32",
+    )
     pandasmeth = getattr(s, pandasmethname)
     result = pandasmeth(**kwargs)
-    s2 = pd.Series(data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6], dtype="float64")
+    s2 = pd.Series(
+        data=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6], dtype="float64" if IS64 else "float32"
+    )
     pandasmeth = getattr(s2, pandasmethname)
     expected = pandasmeth(**kwargs)
     assert expected == result

pandas/tests/base/test_misc.py

@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import PYPY
+from pandas.compat import IS64, PYPY
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
@@ -128,7 +128,10 @@ def test_memory_usage(index_or_series_obj):
     )
 
     if len(obj) == 0:
-        expected = 0 if isinstance(obj, Index) else 80
+        if isinstance(obj, Index):
+            expected = 0
+        else:
+            expected = 80 if IS64 else 48
         assert res_deep == res == expected
     elif is_object or is_categorical:
         # only deep will pick them up

pandas/tests/groupby/test_groupby.py

@@ -1268,8 +1268,8 @@ def test_groupby_nat_exclude():
     assert grouped.ngroups == 2
 
     expected = {
-        Timestamp("2013-01-01 00:00:00"): np.array([1, 7], dtype=np.int64),
-        Timestamp("2013-02-01 00:00:00"): np.array([3, 5], dtype=np.int64),
+        Timestamp("2013-01-01 00:00:00"): np.array([1, 7], dtype=np.intp),
+        Timestamp("2013-02-01 00:00:00"): np.array([3, 5], dtype=np.intp),
     }
 
     for k in grouped.indices:

pandas/tests/io/parser/test_c_parser_only.py

@@ -13,6 +13,7 @@
 import numpy as np
 import pytest
 
+from pandas.compat import IS64
 from pandas.errors import ParserError
 import pandas.util._test_decorators as td
 
@@ -717,7 +718,10 @@ def test_float_precision_options(c_parser_only):
 
     df3 = parser.read_csv(StringIO(s), float_precision="legacy")
 
-    assert not df.iloc[0, 0] == df3.iloc[0, 0]
+    if IS64:
+        assert not df.iloc[0, 0] == df3.iloc[0, 0]
+    else:
+        assert df.iloc[0, 0] == df3.iloc[0, 0]
 
     msg = "Unrecognized float_precision option: junk"