mindscience.data.GeometryWithTime
- class mindscience.data.GeometryWithTime(geometry, timedomain, sampling_config=None)[source]
Definition of geometry with time.
- Parameters
geometry (Geometry) – Geometry.
timedomain (TimeDomain) – Time domain.
sampling_config (SamplingConfig) – Sampling configuration. Default:
None.
- Raises
ValueError – If sampling_config is not
Nonebut sampling_config.time isNone.
Examples
>>> from mindscience.data import generate_sampling_config, Rectangle, TimeDomain, GeometryWithTime >>> rect_with_time_config = dict({ ... 'domain': dict({ ... 'random_sampling': True, ... 'size': 200, ... }), ... 'BC': dict({ ... 'random_sampling': False, ... 'size': 100, ... 'with_normal': True, ... }), ... 'IC': dict({ ... 'random_sampling': False, ... 'size': [10, 10], ... }), ... 'time': dict({ ... '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 = generate_sampling_config(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: can be
'domain'or'BC'or'IC'. Default:'domain'.'domain', feasible domain of the problem.'BC', boundary of the problem.'IC', initial condition of the problem.
- Returns
- Numpy.array, if the with_normal property of boundary configuration is true, returns 2D numpy array with
boundary normal vectors. Otherwise, returns 2D numpy array without boundary normal vectors.
- Raises
- set_sampling_config(sampling_config)[source]
Set sampling info.
- Parameters
sampling_config (SamplingConfig) – Sampling configuration.
- Raises
TypeError – If sampling_config is not instance of SamplingConfig.