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:- Any live cell with fewer than two live neighbors dies (under-population).
- Any live cell with two or three live neighbors lives on to the next generation.
- Any live cell with more than three live neighbors dies (over-population).
- Any dead cell with exactly three live neighbors becomes a live cell (reproduction). The challenge is to compute the next state of the board by applying these rules simultaneously to every cell.
- The input board is a 2D array of size m x n.
- Each cell in the board is either 0 (dead) or 1 (live).
- The board needs to be updated in-place.
- The board may be bounded, and handling edge cells can be tricky.
- Iterate through each cell in the board, and count the number of live neighbors for each cell.
- 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).
- Finally, update the board to reflect the next state, converting intermediate values back to standard states.
- Initialization :
- Define the possible directions to inspect neighboring cells.
- Calculate the number of rows and columns in the board.
- 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).
- 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.
Constraints
Plan
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