Checking chunked layout array __getitem__ special method.
(self)
| 247 | self.assertTrue(common.allequal(data, obj, self.flavor)) |
| 248 | |
| 249 | def test02_getitemCArray(self): |
| 250 | """Checking chunked layout array __getitem__ special method.""" |
| 251 | |
| 252 | if common.verbose: |
| 253 | print("\n", "-=" * 30) |
| 254 | print( |
| 255 | "Running %s.test02_getitemCArray..." % self.__class__.__name__ |
| 256 | ) |
| 257 | |
| 258 | if not hasattr(self, "slices"): |
| 259 | # If there is not a slices attribute, create it |
| 260 | self.slices = (slice(self.start, self.stop, self.step),) |
| 261 | |
| 262 | # Create an instance of an HDF5 Table |
| 263 | if self.reopen: |
| 264 | self.h5file = tb.open_file(self.h5fname, "r") |
| 265 | carray = self.h5file.get_node("/carray1") |
| 266 | |
| 267 | if common.verbose: |
| 268 | print("CArray descr:", repr(carray)) |
| 269 | print("shape of read array ==>", carray.shape) |
| 270 | print("reopening?:", self.reopen) |
| 271 | |
| 272 | shape = self._get_shape() |
| 273 | |
| 274 | # Build the array to do comparisons |
| 275 | if self.type == "string": |
| 276 | object_ = np.ndarray( |
| 277 | buffer=b"a" * self.objsize, |
| 278 | shape=self.shape, |
| 279 | dtype=f"S{carray.atom.itemsize}", |
| 280 | ) |
| 281 | else: |
| 282 | object_ = np.arange(self.objsize, dtype=carray.atom.dtype) |
| 283 | object_.shape = shape |
| 284 | |
| 285 | # do a copy() in order to ensure that len(object._data) |
| 286 | # actually do a measure of its length |
| 287 | obj = object_.__getitem__(self.slices).copy() |
| 288 | |
| 289 | # Read data from the array |
| 290 | try: |
| 291 | data = carray.__getitem__(self.slices) |
| 292 | except IndexError: |
| 293 | print("IndexError!") |
| 294 | if self.flavor == "numpy": |
| 295 | data = np.empty(shape=self.shape, dtype=self.type) |
| 296 | else: |
| 297 | data = np.empty(shape=self.shape, dtype=self.type) |
| 298 | |
| 299 | if common.verbose: |
| 300 | print("Object read:\n", repr(data)) # , data.info() |
| 301 | print("Should look like:\n", repr(obj)) # , object.info() |
| 302 | if hasattr(obj, "shape"): |
| 303 | print("Original object shape:", self.shape) |
| 304 | print("Shape read:", data.shape) |
| 305 | print("shape should look as:", obj.shape) |
| 306 |
nothing calls this directly
no test coverage detected