TST: 32bit dtype compat #36579 (#36584)

pandas-dev · Sep 24, 2020 · 31788da · 31788da
1 parent 6648439
commit 31788da
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Showing 3 changed files with 4 additions and 4 deletions.
diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py
@@ -450,7 +450,7 @@ def test_get_indexer_non_unique(self):
 
         result = idx1.get_indexer_non_unique(idx2)
         expected_indexer = np.array([1, 0, 2, -1, -1], dtype=np.intp)
-        expected_missing = np.array([2, 3], dtype=np.int64)
+        expected_missing = np.array([2, 3], dtype=np.intp)
 
         tm.assert_numpy_array_equal(result[0], expected_indexer)
         tm.assert_numpy_array_equal(result[1], expected_missing)

diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py
@@ -2607,7 +2607,7 @@ def construct(dtype):
         ex1 = np.array([0, 3, 1, 4, 2, 5] * 2, dtype=np.intp)
         ex2 = np.array([], dtype=np.intp)
         tm.assert_numpy_array_equal(result[0], ex1)
-        tm.assert_numpy_array_equal(result[1], ex2.astype(np.int64))
+        tm.assert_numpy_array_equal(result[1], ex2)
 
     else:
         no_matches = np.array([-1] * 6, dtype=np.intp)

diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py
@@ -1545,7 +1545,7 @@ def test_lookup_nan(self, writable):
         xs.setflags(write=writable)
         m = ht.Float64HashTable()
         m.map_locations(xs)
-        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=np.int64))
+        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=np.intp))
 
     def test_add_signed_zeros(self):
         # GH 21866 inconsistent hash-function for float64
@@ -1578,7 +1578,7 @@ def test_lookup_overflow(self, writable):
         xs.setflags(write=writable)
         m = ht.UInt64HashTable()
         m.map_locations(xs)
-        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=np.int64))
+        tm.assert_numpy_array_equal(m.lookup(xs), np.arange(len(xs), dtype=np.intp))
 
     def test_get_unique(self):
         s = Series([1, 2, 2 ** 63, 2 ** 63], dtype=np.uint64)