(self)
| 347 | ) |
| 348 | |
| 349 | def test_chunk(self) -> None: |
| 350 | test_cases: list[ |
| 351 | tuple[int | str | dict[str, Any], tuple[tuple[int, ...], ...]] |
| 352 | ] = [ |
| 353 | ({}, ((2, 2), (2, 2, 2))), |
| 354 | (3, ((3, 1), (3, 3))), |
| 355 | ({"x": 3, "y": 3}, ((3, 1), (3, 3))), |
| 356 | ({"x": 3}, ((3, 1), (2, 2, 2))), |
| 357 | ({"x": (3, 1)}, ((3, 1), (2, 2, 2))), |
| 358 | ({"x": "16B"}, ((1, 1, 1, 1), (2, 2, 2))), |
| 359 | ("16B", ((1, 1, 1, 1), (1,) * 6)), |
| 360 | ("16MB", ((4,), (6,))), |
| 361 | ] |
| 362 | for chunks, expected in test_cases: |
| 363 | # Test DataArray |
| 364 | rechunked = self.lazy_array.chunk(chunks) |
| 365 | assert rechunked.chunks == expected |
| 366 | self.assertLazyAndIdentical(self.eager_array, rechunked) |
| 367 | |
| 368 | expected_chunksizes = dict(zip(self.lazy_array.dims, expected, strict=True)) |
| 369 | assert rechunked.chunksizes == expected_chunksizes |
| 370 | |
| 371 | # Test Dataset |
| 372 | lazy_dataset = self.lazy_array.to_dataset() |
| 373 | eager_dataset = self.eager_array.to_dataset() |
| 374 | expected_chunksizes = dict(zip(lazy_dataset.dims, expected, strict=True)) |
| 375 | rechunked = lazy_dataset.chunk(chunks) # type: ignore[assignment] |
| 376 | |
| 377 | # Dataset.chunks has a different return type to DataArray.chunks - see issue #5843 |
| 378 | assert rechunked.chunks == expected_chunksizes |
| 379 | self.assertLazyAndIdentical(eager_dataset, rechunked) |
| 380 | |
| 381 | assert rechunked.chunksizes == expected_chunksizes |
| 382 | |
| 383 | def test_rechunk(self): |
| 384 | chunked = self.eager_array.chunk({"x": 2}).chunk({"y": 2}) |
nothing calls this directly
no test coverage detected