Performance considerations in algebra mode

Creating lots of Shapes in a loop means for every step fuse and clean will be called. In an example like the below, both functions get slower and slower the more objects are already fused. Overall it takes on an M1 Mac 4.76 sec.

diam = 80
holes = Sketch()
r = Rectangle(2, 2)
for loc in GridLocations(4, 4, 20, 20):
    if loc.position.X**2 + loc.position.Y**2 < (diam / 2 - 1.8) ** 2:
        holes += loc * r

c = Circle(diam / 2) - holes

One way to avoid it is to use lazy evaluation for the algebra operations. Just collect all objects and then call fuse (+) once with all objects and clean once. Overall it takes 0.19 sec.

r = Rectangle(2, 2)
holes = [
    loc * r
    for loc in GridLocations(4, 4, 20, 20).locations
    if loc.position.X**2 + loc.position.Y**2 < (diam / 2 - 1.8) ** 2
]

c = Circle(diam / 2) - holes

Another way to leverage the vectorized algebra operations is to add a list comprehension of objects to an empty Part, Sketch or Curve:

polygons = Sketch() + [
    loc * RegularPolygon(radius=5, side_count=5)
    for loc in GridLocations(40, 30, 2, 2)
]

This again ensures one single fuse and clean call.