Game Of Life

To solve this coding challenge, we need to implement Conway's Game of Life on a given m x n grid. The game progresses by simultaneously applying a set of rules to every cell in the grid to determine its next state. Here's a detailed walkthrough of how to solve this problem.

Explanation

Problem Analysis

The Game of Life is a zero-player game where the evolution of the game is determined by its initial state. Each cell on the board can be either live (represented by a 1) or dead (represented by a 0). The cells interact with their eight neighbors based on a set of rules which govern the next state of each cell. The rules are:
  1. Any live cell with fewer than two live neighbors dies (under-population).
  2. Any live cell with two or three live neighbors lives on to the next generation.
  3. Any live cell with more than three live neighbors dies (over-population).
  4. Any dead cell with exactly three live neighbors becomes a live cell (reproduction).
  5. The challenge is to compute the next state of the board by applying these rules simultaneously to every cell.

    Constraints

  6. The input board is a 2D array of size m x n.
  7. Each cell in the board is either 0 (dead) or 1 (live).
  8. The board needs to be updated in-place.
  9. The board may be bounded, and handling edge cells can be tricky.
  10. Plan

  11. Iterate through each cell in the board, and count the number of live neighbors for each cell.
  12. Apply the game rules to determine the next state of the cell:
    • Utilize temporary states to distinguish between current and next state updates without affecting the neighbor counting logic (e.g., mark cells with specific intermediate values like -1 or 2).
  13. Finally, update the board to reflect the next state, converting intermediate values back to standard states.
  14. Step-by-Step Implementation in Pseudocode

    Initialize Variables
                                                
    # direction vectors for the 8 neighbors (horizontal, vertical, diagonal)
    neighbors = [(1, 0), (1, 1), (0, 1), (-1, 1), (-1, 0), (-1, -1), (0, -1), (1, -1)]
    
    # determine number of rows and columns
    rows = number of rows in board
    cols = number of columns in board
    
                                            
    First Pass: Determine New States with Temporary Markers
                                                
    # Iterate through each cell in the board
    for row_index from 0 to (rows - 1):
    for col_index from 0 to (cols - 1):
    
    # Initialize live neighbor counter
    live_neighbors = 0
    
    # Check all 8 neighbors
    for direction in neighbors:
    neighbor_row = row_index + direction[0]
    neighbor_col = col_index + direction[1]
    
    # Count live neighbors (abs is used to handle temporary markers)
    if 0 <= neighbor_row < rows and 0 <= neighbor_col < cols:
    if abs(board[neighbor_row][neighbor_col]) == 1:
    live_neighbors += 1
    
    # Apply game rules
    # Rule 1 or Rule 3: live cell with <2 or >3 live neighbors dies
    if board[row_index][col_index] == 1 and (live_neighbors < 2 or live_neighbors > 3):
    board[row_index][col_index] = -1 # Mark as dead
    
    # Rule 4: dead cell with 3 live neighbors becomes a live cell
    if board[row_index][col_index] == 0 and live_neighbors == 3:
    board[row_index][col_index] = 2 # Mark as live
    
                                            
    Second Pass: Finalize Updates
                                                
    # Iterate through each cell again to finalize state changes
    for row_index from 0 to (rows - 1):
    for col_index from 0 to (cols - 1):
    # Update cell state based on temporary markers
    if board[row_index][col_index] > 0:
    board[row_index][col_index] = 1 # Finalize as live cell
    else:
    board[row_index][col_index] = 0 # Finalize as dead cell
    
                                            

    Detailed Steps in Pseudocode

  15. Initialization :
    • Define the possible directions to inspect neighboring cells.
    • Calculate the number of rows and columns in the board.
  16. First Pass - Apply Rules with Temporary Markers :
    • Use nested loops to iterate through each cell in the board.
    • For each cell, count the number of live neighbors by checking all 8 directions.
    • Apply the Game of Life rules while using temporary markers to avoid conflict (e.g., marking future dead cells as -1 and future live cells as 2).
  17. Second Pass - Finalize Board State :
    • Another set of nested loops to convert the temporary markers back to final states: -1 becomes 0 and 2 becomes 1.
By following this structured approach, we can ensure that all cells are updated simultaneously while retaining the integrity of the neighbor count calculation. This method guarantees an efficient and in-place solution to the Game of Life on a bounded 2D board.