support shape by 3 for output mesh, polydata points

[thewtex]

WIP patch:

diff --git a/packages/core/python/itkwasm/itkwasm/pipeline.py b/packages/core/python/itkwasm/itkwasm/pipeline.py
index 1424b68b..417a31a0 100644
--- a/packages/core/python/itkwasm/itkwasm/pipeline.py
+++ b/packages/core/python/itkwasm/itkwasm/pipeline.py
@@ -345,7 +345,7 @@ class Pipeline:
                     if mesh.numberOfPoints > 0:
                         data_ptr = ri.get_output_array_address(0, index, 0)
                         data_size = ri.get_output_array_size(0, index, 0)
-                        mesh.points = _to_numpy_array(mesh.meshType.pointComponentType, ri.wasmtime_lift(data_ptr, data_size))
+                        mesh.points = _to_numpy_array(mesh.meshType.pointComponentType, ri.wasmtime_lift(data_ptr, data_size)).reshape((-1, mesh.meshType.dimension))
                     else:
                         mesh.points =  _to_numpy_array(mesh.meshType.pointComponentType, bytes([]))
 
@@ -377,7 +377,7 @@ class Pipeline:
                     if polydata.numberOfPoints > 0:
                         data_ptr = ri.get_output_array_address(0, index, 0)
                         data_size = ri.get_output_array_size(0, index, 0)
-                        polydata.points = _to_numpy_array(FloatTypes.Float32, ri.wasmtime_lift(data_ptr, data_size))
+                        polydata.points = _to_numpy_array(FloatTypes.Float32, ri.wasmtime_lift(data_ptr, data_size)).reshape((-1, 3))
                     else:
                         polydata.points =  _to_numpy_array(FloatTypes.Float32, bytes([]))
 
diff --git a/packages/core/python/itkwasm/test/test_pipeline.py b/packages/core/python/itkwasm/test/test_pipeline.py
index 666ed5ef..e83e548f 100644
--- a/packages/core/python/itkwasm/test/test_pipeline.py
+++ b/packages/core/python/itkwasm/test/test_pipeline.py
@@ -167,6 +167,9 @@ def test_pipeline_write_read_mesh():
 
     outputs = pipeline.run(args, pipeline_outputs, pipeline_inputs)
 
+    print(outputs[0].data)
+    print(outputs[0].data.points.shape)
+
     out_mesh_dict = asdict(outputs[0].data)
     # Native ITK Python binaries require uint64
     out_mesh_dict['cells'] = out_mesh_dict['cells'].astype(np.uint64)

But the following needs to be addressed in itk Python:

test/test_pipeline.py:177:                                                                           
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/home/matt/bin/micromamba/envs/itk-wasm/lib/python3.11/site-packages/itk/support/extras.py:828: in me
sh_from_dict                                                                                         
    points = itk.vector_container_from_array(points)                                                 
/home/matt/bin/micromamba/envs/itk-wasm/lib/python3.11/site-packages/itk/support/extras.py:561: in ve
ctor_container_from_array                                                                            
    return itk.PyVectorContainer[keys[0]].vector_container_from_array(arr)                           
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _                                                                                                     
ndarr = array([[3.71636 , 2.34339 , 0.      ],                                                              [4.12656 , 0.642027, 0.      ],                                                               
       [3.45497 , 2.16988 , 0.      ],                                                               
 ...16 , 2.12093 , 1.17252 ],                                                                        
       [4.13317 , 2.17523 , 1.25932 ],                                                               
       [4.23234 , 1.90308 , 0.534362]], dtype=float32)                                               
                                                                                                     
    def vector_container_from_array(ndarr):                                                          
        """Get an itk.VectorContainer from a NumPy array.                                            
                                                                                                     
        This is a deep copy of the NumPy array buffer and is completely safe without potential       
        side effects.                                                                                
        """                                                                                          
                                                                                                     
>       assert ndarr.ndim == 1 , "Only arrays of 1 dimension are supported."                         
E       AssertionError: Only arrays of 1 dimension are supported.