Add option to generate VE from Laguerre tesselation

[Gbowker]

Laguerre tesselations include the extra parameter weights which allows the grains of the tesselation to be elongated in one of the primary directions:

eg. [2, 1, 1] generates grains in a voronoi tesselation but with greater length in the x direction than the y and z directions.

This should be quite an easy addition to matflow - it's the same task as from_voronoi except with an extra parameter 'weights'.

See commits:

• Added script which does same as gen_VE_from_voronoi but uses damask laguerre function instead
• Added this task to task_schemas.yaml
• Added weights parameter to 'template_components/parameters'

However I've tested this with a basic workflow and it doesnt yet work:
TEST_laguerre.yaml:

tasks:
  - schema: generate_volume_element_from_laguerre
    inputs:
      homog_label: SX
      VE_grid_size: [32, 32, 32]
      scale_morphology: [1, 1, 1] # scales gridsize
      weights: [5, 1, 1] # scales grains
      microstructure_seeds::from_random:
        box_size: [1, 1, 1]
        num_seeds: 2000
        random_seed: 1
        phase_label: Al

  - schema: visualise_VE_VTK

@aplowman @gcapes or @dkfellows
Can you try and test this?
My build details:

matflow                 0.3.0a224
hpcflow                 0.2.0a299
damask                  3.0.2
damask-parse            0.5.1

[Gbowker]

When I test this on the build described I get the following error in workflow_dir/artifacts/submissions/0/js_std/0/js_0.sh_<job_number>.out

multiprocessing.pool.RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/mnt/iusers01/jf01/y15576gb/.conda/envs/python3.11-env/lib/python3.11/multiprocessing/pool.py", line 125, in worker
    result = (True, func(*args, **kwds))
                    ^^^^^^^^^^^^^^^^^^^
  File "/mnt/iusers01/jf01/y15576gb/.conda/envs/python3.11-env/lib/python3.11/multiprocessing/pool.py", line 48, in mapstar
    return list(map(*args))
           ^^^^^^^^^^^^^^^^
  File "/mnt/iusers01/jf01/y15576gb/.matflow/rot_loads-env/lib/python3.11/site-packages/damask/_geomgrid.py", line 543, in _find_closest_seed
    return np.argmin(np.sum((np.broadcast_to(point,(len(seeds),3))-seeds)**2,axis=1) - weights)
                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
ValueError: operands could not be broadcast together with shapes (54000,) (81,) 
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/net/scratch/y15576gb/matflow-demos/TEST_laguerre_2026-01-22_164859/artifacts/submissions/0/scripts/generate_volume_element_from_laguerre_act_0.py", line 168, in <module>
    outputs = generate_volume_element_laguerre(**func_kwargs)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/net/scratch/y15576gb/matflow-demos/TEST_laguerre_2026-01-22_164859/artifacts/submissions/0/scripts/generate_volume_element_from_laguerre_act_0.py", line 50, in generate_volume_element_laguerre
    grid_obj = grid_cls.from_Laguerre_tessellation(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/mnt/iusers01/jf01/y15576gb/.matflow/rot_loads-env/lib/python3.11/site-packages/damask/_geomgrid.py", line 595, in from_Laguerre_tessellation
    material_ = np.array(result.get()).reshape(cells)
                         ^^^^^^^^^^^^
  File "/mnt/iusers01/jf01/y15576gb/.conda/envs/python3.11-env/lib/python3.11/multiprocessing/pool.py", line 774, in get
    raise self._value
ValueError: operands could not be broadcast together with shapes (54000,) (81,)