def small_fake_hexahedral_ds():
from yt.frontends.stream.api import load_unstructured_mesh
_coordinates = np.array([[-1., -1., -1.], [0., -1., -1.], [-0., 0., -1.],
[-1., -0., -1.], [-1., -1., 0.], [-0., -1., 0.],
[-0., 0., -0.], [-1., 0., -0.]])
_connectivity = np.array([[1, 2, 3, 4, 5, 6, 7, 8]])
# the distance from the origin
node_data = {}
dist = np.sum(_coordinates**2, 1)
node_data[('connect1', 'test')] = dist[_connectivity - 1]
ds = load_unstructured_mesh(_connectivity - 1,
_coordinates,
node_data=node_data)
return ds
def fake_hexahedral_ds():
from yt.frontends.stream.api import load_unstructured_mesh
from yt.frontends.stream.sample_data.hexahedral_mesh import \
_connectivity, _coordinates
# the distance from the origin
node_data = {}
dist = np.sum(_coordinates**2, 1)
node_data[('connect1', 'test')] = dist[_connectivity - 1]
# each element gets a random number
elem_data = {}
elem_data[('connect1', 'elem')] = np.random.rand(_connectivity.shape[0])
ds = load_unstructured_mesh(_connectivity - 1,
_coordinates,
node_data=node_data,
elem_data=elem_data)
return ds
def fake_hexahedral_ds():
from yt.frontends.stream.api import load_unstructured_mesh
from yt.frontends.stream.sample_data.hexahedral_mesh import (
_connectivity,
_coordinates,
)
prng = RandomState(0x4D3D3D3)
# the distance from the origin
node_data = {}
dist = np.sum(_coordinates**2, 1)
node_data[("connect1", "test")] = dist[_connectivity - 1]
# each element gets a random number
elem_data = {}
elem_data[("connect1", "elem")] = prng.rand(_connectivity.shape[0])
ds = load_unstructured_mesh(_connectivity - 1,
_coordinates,
node_data=node_data,
elem_data=elem_data)
return ds