remove duplicated test

tests/test_utils.py

@@ -45,27 +45,6 @@ def test_join_arrays_join_types(join_type, expected_data, expected_row):
     assert np.allclose(row, expected_row)
 
 
-@pytest.mark.parametrize("join_type, expected_data, expected_row", [
-    ["left", np.array([[0, 0], [1, 0], [2, 2], [4, 0], [5, 5]]), np.array([0, 1, 2, 4, 5])],
-    ["right", np.array([[2, 2],[0, 3], [5, 5], [0, 6], [0, 7],]), np.array([2, 3, 5, 6, 7])],
-    ["inner", np.array([[2, 2], [5, 5]]), np.array([2, 5])],
-    ["outer", np.array([[0, 0], [1, 0], [2, 2], [0, 3], [4, 0], [5, 5], [0, 6], [0, 7]]),
-     np.array([0, 1, 2, 3, 4, 5, 6, 7])],
-])
-def test_join_arrays_join_types(join_type, expected_data, expected_row):
-    row1 = np.array([0, 1, 2, 4, 5])
-    col1 = np.array([0, 1, 2, 4, 5])
-    row2 = np.array([7, 5, 3, 6, 2])
-    col2 = np.array([7, 5, 3, 6, 2])
-    data1 = np.array(col1, dtype=[("layer1", col1.dtype)])
-    data2 = np.array(col2, dtype=[("layer2", col2.dtype)])
-
-    row, col, data = join_arrays(row1, col1, data1, row2, col2, data2, "test1",
-                                 join_type=join_type)
-    assert np.allclose(np.array([[x[0], x[1]] for x in data]), expected_data)
-    assert np.allclose(row, expected_row)
-
-
 @pytest.mark.parametrize("join_type", [
     "left", "right", "inner", "outer"
 ])