Hypermesh Python API: *coarsening_mesh

AmyW

Hi,

I'd like to know how to use the equivalent of *coarsening_mesh from the tcl API within python. I've read the page on translating the commands:

HyperMesh Functions — HyperMesh Python API 2025 documentation

but I can't understand it in the context of this particular function as there are a lot of arguments I don't understand how to pass to this function in python as I can't find it in the documentation specifically. This is the full command I want to replicate: *coarsening_mesh 1 0 0 100.0 2 40.0 100.0 48 though I have had issues with using 48 on the options command in tcl (seems to be a bug that causes a segmentation error with bit5 in the options).

Thanks,

Amy

Humberto_Mendonça

Hello, AmyW.

Try using the function:

‘*coarsen_and_decimate_mesh2’

to perform this procedure. It is defined almost identically to *coarsening_mesh, except with additional optional arguments. Therefore, you can use the same arguments you would use. See this link for details: https://help.altair.com/hwdesktop/hwd/topics/reference/hm/_coarsen_and_decimate_mesh2.htm

For the Python command, the difference is that the arguments that are ‘mark_id’ in Tcl must be 'hm.Collection' in Python API.

The script would then look like this:

==================================================

import hm
import hm.entities as ent

model = hm.Model()

comps_collection = hm.Collection(model, hm.FilterByEnumeration(ent.Component, ids=[1]))

nodes_collection = hm.Collection(model, hm.FilterByEnumeration(ent.Node, ids=hm.hwUIntList([])))

failed_comps_collection = hm.Collection(model, hm.FilterByEnumeration(ent.Component, ids=hm.hwUIntList([])))

model.coarsen_and_decimate_mesh2(comps_collection=comps_collection,
nodes_collection=nodes_collection,
failed_comps_collection=failed_comps_collection,
elem_size=100,
elem_type=2,
feature_angle=40, max_diameter=100, options=48
)

==================================================

Regards,

Humberto