mindelec.geometry.HyperCube

class mindelec.geometry.HyperCube(name, dim, coord_min, coord_max, dtype=np.float32, sampling_config=None)

Definition of HyperCube object.

Parameters

• name (str) – name of the hyper cube.

• dim (int) – number of dimensions.

• coord_min (Union[int, float, list[int, float], tuple[int, float], numpy.ndarray]) – minimal coordinate of the hyper cube.

• coord_max (Union[int, float, list[int, float], tuple[int, float], numpy.ndarray]) – maximal coordinate of the hyper cube.

• dtype (numpy.dtype) – Data type of sampled point data type. Default: numpy.float32.

• sampling_config (SamplingConfig) – sampling configuration. Default: None

Raises

TypeError – sampling_config is not instance of class SamplingConfig.

Supported Platforms:

Ascend

Examples

>>> from easydict import EasyDict as edict
>>> from mindelec.geometry import create_config_from_edict, HyperCube
>>> hypercube_random = edict({
...      'domain': edict({
...          'random_sampling': True,
...          'size': 1000,
...          'sampler': 'uniform'
...         }),
...      'BC': edict({
...          'random_sampling': True,
...          'size': 200,
...          'sampler': 'uniform',
...          'with_normal': False,
...      }),
...  })
>>> sampling_config = create_config_from_edict(hypercube_random)
>>> hypercube = HyperCube("HyperCube", 3, [-1, 2, 1], [0, 3, 2], sampling_config=sampling_config)
>>> domain = hypercube.sampling(geom_type="domain")
>>> bc = hypercube.sampling(geom_type="BC")
>>> print(domain.shape)
(1000, 3)

sampling(geom_type='domain')

sampling points

Parameters

geom_type (str) – geometry type

Returns

Numpy.array, 2D numpy array with or without boundary normal vectors

Raises

• ValueError – If config is None.

• KeyError – If geom_type is domain but config.domain is None.

• KeyError – If geom_type is BC but config.bc is None.

• ValueError – If geom_type is neither BC nor domain.