| 1217 | |
| 1218 | |
| 1219 | def test_divmod(): |
| 1220 | df1 = pd.Series(np.random.rand(10)) |
| 1221 | df2 = pd.Series(np.random.rand(10)) |
| 1222 | |
| 1223 | ddf1 = dd.from_pandas(df1, npartitions=3) |
| 1224 | ddf2 = dd.from_pandas(df2, npartitions=3) |
| 1225 | |
| 1226 | result = divmod(ddf1, 2.0) |
| 1227 | expected = divmod(df1, 2.0) |
| 1228 | assert_eq(result[0], expected[0]) |
| 1229 | assert_eq(result[1], expected[1]) |
| 1230 | |
| 1231 | result = divmod(ddf1, ddf2) |
| 1232 | expected = divmod(df1, df2) |
| 1233 | assert_eq(result[0], expected[0]) |
| 1234 | assert_eq(result[1], expected[1]) |
| 1235 | |
| 1236 | |
| 1237 | @pytest.mark.skipif("not scipy") |