(self, compute_backend)
| 286 | assert actual.sizes == expected.sizes |
| 287 | |
| 288 | def test_rolling_count_correct(self, compute_backend) -> None: |
| 289 | da = DataArray([0, np.nan, 1, 2, np.nan, 3, 4, 5, np.nan, 6, 7], dims="time") |
| 290 | |
| 291 | kwargs: list[dict[str, Any]] = [ |
| 292 | {"time": 11, "min_periods": 1}, |
| 293 | {"time": 11, "min_periods": None}, |
| 294 | {"time": 7, "min_periods": 2}, |
| 295 | ] |
| 296 | expecteds = [ |
| 297 | DataArray([1, 1, 2, 3, 3, 4, 5, 6, 6, 7, 8], dims="time"), |
| 298 | DataArray( |
| 299 | [ |
| 300 | np.nan, |
| 301 | np.nan, |
| 302 | np.nan, |
| 303 | np.nan, |
| 304 | np.nan, |
| 305 | np.nan, |
| 306 | np.nan, |
| 307 | np.nan, |
| 308 | np.nan, |
| 309 | np.nan, |
| 310 | np.nan, |
| 311 | ], |
| 312 | dims="time", |
| 313 | ), |
| 314 | DataArray([np.nan, np.nan, 2, 3, 3, 4, 5, 5, 5, 5, 5], dims="time"), |
| 315 | ] |
| 316 | |
| 317 | for kwarg, expected in zip(kwargs, expecteds, strict=True): |
| 318 | result = da.rolling(**kwarg).count() |
| 319 | assert_equal(result, expected) |
| 320 | |
| 321 | result = da.to_dataset(name="var1").rolling(**kwarg).count()["var1"] |
| 322 | assert_equal(result, expected) |
| 323 | |
| 324 | @pytest.mark.parametrize("da", (1,), indirect=True) |
| 325 | @pytest.mark.parametrize("center", (True, False)) |
nothing calls this directly
no test coverage detected