Why waste time finding them manually when I could write a program to do it?
However, the only programming language I know is Python 3, and I am self-taught.
This is my idea of the procedure:
- 1. Find conduit objects (see below)
2. Find sparks within 20 cells of the initial object
3. Add still lives/constellations
4. Optimise population (replace blocks with pre-blocks, traffic lights with T-Tetrominoes, etc.)
5. Report findings into files (RLE)
6. Repeat
- 1. generate a random seed
2. start with one cell
3. add-on 1-2 2-4 cell expansion lines from that one cell.
4. add 1-3 cells with a gap of one cell from everything else
5. simulate it with hashlife
6. does it emit at least one glider to within 20 cells of itself?
7. does it leave at least 3 still lives behind once it stabilizes?
8. at any point in its life does one of its boundaries be 2x its initial boundaries?
9.if two of 6, 7, or 8 are true, it is a conduit object.