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Game of Life (GOL) Cellular Automata (CA)
These systems involve solving for the snapshots of the spatiotemporal dynamics of a Game of Life CA [6,7].
Import the package by running import GameOfLife as GOL. The duration specifies the number of snapshots to be recorded. To view and save the animation as GIF, use GOL.animateGOL(soln, out='anim.gif'). This will save a local file 'anim.gif'. White cells are "Alive" and black cells indicate "Dead".
Use GOL.solveGOL(system=0, L=, p=, duration=) to obtain the duration number of snapshots. The CA is set in a lattice size L and initialized with states from a uniform random distribution with state density "Alive":p and "Dead":1-p.
These are GOL patterns that does not change over time [6]. Specify system as the number to observe the following:
1: Block
2: Beehive
3: Loaf
4: Boat
5: Tub
These are GOL patterns that returns to the initial state after finite number of timesteps [6]. Specify system as the number to observe the following:
6: Blinker (period 2)
7: Toad (period 3)
8: Beacon (period 2)
9: Pulsar (period 3)
10: Pentadecathlon (period 15)
These are GOL patterns that continuously creeps or glides across the lattice [6]. Specify system as the number to observe the following:
11: Glider
12: Lightweight spaceship (LWSS)
13: Middleweight spaceship (MWSS)
14: Heavyweight spaceship (HWSS)
These are GOL patterns that takes long periods to stabilize to other patterns. [7]. Specify system as the number to observe the following:
15: R-pentomino (1103 timesteps)
16: Die Hard (130 timesteps)
17: Acorn (5206 timesteps)
Run main.py to test the following:
A) Random initial state: soln=GOL.solveGOL(system=0, L=50, p=0.5, duration=30).
B) Glider : GOL.solveGOL(system=11, duration=30).