(self)
| 1196 | ([np.nan] * i) + [inf] * j) |
| 1197 | |
| 1198 | def test_empty(self): |
| 1199 | # empty arrays |
| 1200 | a = np.ma.masked_array(np.array([], dtype=float)) |
| 1201 | with suppress_warnings() as w: |
| 1202 | w.record(RuntimeWarning) |
| 1203 | assert_array_equal(np.ma.median(a), np.nan) |
| 1204 | assert_(w.log[0].category is RuntimeWarning) |
| 1205 | |
| 1206 | # multiple dimensions |
| 1207 | a = np.ma.masked_array(np.array([], dtype=float, ndmin=3)) |
| 1208 | # no axis |
| 1209 | with suppress_warnings() as w: |
| 1210 | w.record(RuntimeWarning) |
| 1211 | warnings.filterwarnings('always', '', RuntimeWarning) |
| 1212 | assert_array_equal(np.ma.median(a), np.nan) |
| 1213 | assert_(w.log[0].category is RuntimeWarning) |
| 1214 | |
| 1215 | # axis 0 and 1 |
| 1216 | b = np.ma.masked_array(np.array([], dtype=float, ndmin=2)) |
| 1217 | assert_equal(np.ma.median(a, axis=0), b) |
| 1218 | assert_equal(np.ma.median(a, axis=1), b) |
| 1219 | |
| 1220 | # axis 2 |
| 1221 | b = np.ma.masked_array(np.array(np.nan, dtype=float, ndmin=2)) |
| 1222 | with warnings.catch_warnings(record=True) as w: |
| 1223 | warnings.filterwarnings('always', '', RuntimeWarning) |
| 1224 | assert_equal(np.ma.median(a, axis=2), b) |
| 1225 | assert_(w[0].category is RuntimeWarning) |
| 1226 | |
| 1227 | def test_object(self): |
| 1228 | o = np.ma.masked_array(np.arange(7.)) |
nothing calls this directly
no test coverage detected