TST: 32bit dtype compat pandas-dev#36579

Author: fangchenli

pandas/tests/test_algos.py

@@ -1546,7 +1546,9 @@ def test_lookup_nan(self, writable):
         m = ht.Float64HashTable()
         m.map_locations(xs)
         expected_dtype = np.int64 if IS64 else np.int32
-        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=expected_dtype))
+        tm.assert_numpy_array_equal(
+            m.lookup(xs), np.arange(len(xs), dtype=expected_dtype)
+        )
 
     def test_add_signed_zeros(self):
         # GH 21866 inconsistent hash-function for float64
@@ -1580,7 +1582,9 @@ def test_lookup_overflow(self, writable):
         m = ht.UInt64HashTable()
         m.map_locations(xs)
         expected_dtype = np.int64 if IS64 else np.int32
-        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=expected_dtype))
+        tm.assert_numpy_array_equal(
+            m.lookup(xs), np.arange(len(xs), dtype=expected_dtype)
+        )
 
     def test_get_unique(self):
         s = Series([1, 2, 2 ** 63, 2 ** 63], dtype=np.uint64)