mindelec.geometry.GeometryWithTime

class mindelec.geometry.GeometryWithTime(geometry, timedomain, sampling_config=None)[source]

Definition of geometry with time.

Parameters
Raises

ValueError – If sampling_config is not None but sampling_config.time is None .

Supported Platforms:

Ascend

Examples

>>> from easydict import EasyDict as edict
>>> from mindelec.geometry import create_config_from_edict, Rectangle, TimeDomain, GeometryWithTime
>>> rect_with_time_config = edict({
...     'domain': edict({
...         'random_sampling': True,
...         'size': 200,
...     }),
...     'BC': edict({
...         'random_sampling': False,
...         'size': 100,
...         'with_normal': True,
...     }),
...     'IC': edict({
...         'random_sampling': False,
...         'size': [10, 10],
...     }),
...     'time': edict({
...         'random_sampling': True,
...         'size': 10,
...     })
... })
>>> rect = Rectangle("rect", [-1.0, -0.5], [1.0, 0.5])
>>> time = TimeDomain("time", 0.0, 1.0)
>>> rect_with_time = GeometryWithTime(rect, time)
>>> sampling_config = create_config_from_edict(rect_with_time_config)
>>> rect_with_time.set_sampling_config(sampling_config)
>>> bc, bc_normal = rect_with_time.sampling(geom_type="BC")
>>> domain = rect_with_time.sampling(geom_type="domain")
>>> ic = rect_with_time.sampling(geom_type="IC")
>>> print(domain.shape)
(200, 3)
>>> print(bc.shape)
(90, 3)
>>> print(ic.shape)
(100, 3)
sampling(geom_type='domain')[source]

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.

  • KeyError – If geom_type is IC but config.ic is None.

  • ValueError – If geom_type is not BC, IC nor domain.

set_sampling_config(sampling_config: mindelec.geometry.geometry_base.SamplingConfig)[source]

set sampling info

Parameters

sampling_config (SamplingConfig) – sampling configuration.

Raises

TypeError – If sampling_config is not instance of SamplingConfig.