mindflow.geometry.Cuboid

class mindflow.geometry.Cuboid(name, coord_min, coord_max, dtype=numpy.float32, sampling_config=None)[source]

Definition of Cuboid object.

Parameters

name (str) – name of the cuboid.
coord_min (Union[tuple[int, int], tuple[float, float], list[int, int], list[float, float], numpy.ndarray]) – coordinates of the bottom left back corner of cuboid.
coord_max (Union[tuple[int, int], tuple[float, float], list[int, int], list[float, float], numpy.ndarray]) – coordinates of the top right front corner of cuboid.
dtype (numpy.dtype) – data type of sampled point data type. Default: numpy.float32.
sampling_config (SamplingConfig) – sampling configuration. Default: None.

Supported Platforms:: Ascend GPU

Examples

>>> from mindflow.geometry import generate_sampling_config, Cuboid
>>> cuboid_mesh = dict({'domain': dict({'random_sampling': False, 'size': [50, 50, 25]}),
...                      'BC': dict({'random_sampling': False, 'size': 1000, 'with_normal': True,}),})
>>> cuboid = Cuboid("cuboid", (-3.0, 1, 0), (1, 2, 1), sampling_config=generate_sampling_config(cuboid_mesh))
>>> domain = cuboid.sampling(geom_type="domain")
>>> bc, bc_normal = cuboid.sampling(geom_type="BC")
>>> print(domain.shape)
(62500, 3)