I wrote John Conway's Game of Life in Java:
class GameOfLife {
static int countSurrounding(int[][] board, int a, int b) {
int count = 0;
int[][] surrounding = {{a - 1, b - 1},
{a - 1, b },
{a - 1, b + 1},
{a , b - 1},
{a , b + 1},
{a + 1, b - 1},
{a + 1, b },
{a + 1, b + 1}};
for (int i[]: surrounding) {
try {
if (board[i[0]][i[1]] == 1) {
count++;
}
}
catch (ArrayIndexOutOfBoundsException e) {}
}
return count;
}
static void printBoard(int[][] board) {
for (int[] i: board) {
for (int j: i) {
if (j == 1) {
System.out.print("#");
}
else {
System.out.print(".");
}
}
System.out.println();
}
System.out.println();
}
public static void main(String[] args) {
int[][] nextBoard = {{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 1, 0, 0, 0, 0, 0},
{0, 1, 0, 1, 0, 0, 0, 0, 0},
{0, 0, 1, 1, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0},
{0, 0, 0, 0, 0, 0, 0, 0, 0}};
int[][] board = new int[nextBoard.length][nextBoard[0].length];
for (int gen = 0; gen < 25; gen++) {
for (int i = 0; i < nextBoard.length; i++) {
for (int j = 0; j < nextBoard[i].length; j++) {
board[i][j] = nextBoard[i][j];
}
}
printBoard(board);
for (int i = 0; i < board.length; i++) {
for (int j = 0; j < board[i].length; j++) {
if (board[i][j] == 1 && !(countSurrounding(board, i, j) == 2 || countSurrounding(board, i, j) == 3)) {
nextBoard[i][j] = 0;
}
else if (board[i][j] == 0 && countSurrounding(board, i, j) == 3) {
nextBoard[i][j] = 1;
}
}
}
}
}
}
How can I improve and optimize it?
1 Answer 1
A few suggestions:
Each cell in the Game of Life has exactly two states: dead or alive. Unless you plan to implement
-1
as undead, I'd suggest you use booleans instead of integers to indicate the state.The
int i[]
is a bit odd;i
is normally used for indices, not for whole rows.In
countSurrounding
you are using Exceptions to count the surrounding living cells. This is wasteful and unnecessary; we can determine the correct bounds ourself.Given an index
i
in an arrayrow
, we can get the lower indexmin
and the upper indexmax
byint minRow = i == 0 ? 0 : i - 1; int maxRow = i == (row.length - 1) ? (row.length - 1) : i + 1;
The same thing for columns (
j
index in an arraycolumn
):int minCol = j == 0 ? 0 : j - 1; int maxCol = j == (column.length - 1) ? (column.length - 1) : j + 1;
This itself assumes that
i
andj
always are inside the bounds. We can then loop over the surrounding cells likefor (int row_idx = minRow; row_idx <= maxRow; row_idx++) { for (int idx = minCol; idx <= maxCol; idx++) { if (board[row_idx][idx] && !(row_idx == i && idx == j)) { // assumes board is implemented with booleans count++ } } }
While this is longer, this doesn't abuse exceptions for something totally non-exceptional.
The
printBoard
is fine, except for my first two criticisms. Theif
/else
can be condensed to a ternary; I'd find this easier to read:for (boolean row[] : board) { for (boolean cell : row) { System.out.print( cell ? "#" : "." ); } System.out.println(); }
In
main
, you initializenextBoard
with the initial board, then copy it over intoboard
. This is slightly useless. I'd propose to refactor yourmain
into a methodboolean[][] nextGeneration(boolean[][] board)
. Yourmain
would then look likeint[][] initialBoard = ...; public static void main(String[] args) { int[][] board = new int[nextBoard.length][nextBoard[0].length]; // copy over the initial board for (int i = 0; i < initialBoard.length; i++) { for (int j = 0; j < initalBoard[i].length; j++) { board[i][j] = initialBoard[i][j]; } } // loop over 25 generations printBoard(board); for (int gen = 0; gen < 25; gen++) { System.out.println("\nGeneration " + gen); board = nextGeneration(board); printBoard(board); } }
Now something is becoming obvious: We have collected a few static methods that operate on our
board
array. This is a sign that we should create a seperate class:Board ======== - board: boolean[][] -------- - countSurrounding(i: int, j: int): int + toString(): String + nextGeneration(): Board
The class could be easily extended to have a static default board, or a constructor that creates a random board.
Each "Game of Life" can be described by a ruleset like
23/3
. The digits before the slash determine when a living cell stays alive, the digits after the slash determine when a new cell is born. GeneralizingnextGeneration
to be able to play with all possible rules is a nice exercise.private boolean nextCellState(int i, int j) { int count = countSurrounding(i, j); int rules[] = board[i][j] ? stayAlive : birthNew; for (int rule : rules) { if (rule == count) { return true; } } return false; }
then
public Board nextGeneration() { boolean next[][] = new boolean[board.length][board[0].length]; int rows = board.length; int cols = board.[0].length; for (int i = 0; i < rows; i++) { for (int j = 0; j < cols; j++) { next[i][j] = nextCellState(i, j); } } return new Board(next); }
-
\$\begingroup\$ You had my
+1
at "undead". Great example of excessive value spaces. \$\endgroup\$Christian Hujer– Christian Hujer2020年07月24日 14:10:28 +00:00Commented Jul 24, 2020 at 14:10