> The farmers saved a percentage of the seeds and sowed them again the next spring. However, this is not a lucrative model for profit-oriented multinational companies, since the seed breeders only earn a profit during the first sale and not again every year.
Was the "inability of the produced seeds to be sowed again and turn into a crop" intentionally baked into the seeds sold by these companies, purely for profits?
Or was there a genuine biological / physical limiting factor? E.g. crop will be more susceptible to pests?
"Rotate the tiles so that all pipes are connected with no loops."
These is exactly what a Spanning Tree is. So, any spanning tree generation algorithm would do. You just generate a random ST each time and cut this tree where the hexagon borders intersect with it (to get pipe pieces) and randomize their orientation.
These algorithms are not going to disappoint you in terms of performance.
if the pipes are cut from a Spanning Tree connecting all the hexagons (like the one you witness once you have solved), then yes, for those give pipe pieces, there should be only one solution.
Captivating! So, while generating the puzzle, you are essentially creating a random Spanning Tree for the given nodes (hexagon) arrangement? Then you randomize each pipe piece's direction within a hexagon?
What algorithm are you using for it Spanning Tree?
I have been working on Maze Generation[0] and found randomized Prim's, Kruskal's to be useful for Spanning Tree creation but the good old Depth First Search increases the difficulty of solving a Maze.
Sports are not regarded as intellectually fulfilling but these channels would change your perspective on how much Technique and Game Planning is involved at the highest level:
web is so saturated, it is hard to turn off the internet if you want to put some distraction free hours of coding. There will be something you don't know
My guess is that OS programming (Linux etc) has not been affected that much form this overflow of redundent tools and you can stay productive offline?
