无限棋盘:康威的生命游戏 - Python

Jar*_*ach 1 python conways-game-of-life

我被分配了这个项目,说明如下:

生命游戏是为无限大小的网格定义的。在第 2 章中,我们将 Life Grid ADT 定义为使用固定大小的网格,其中用户指定网格的宽度和高度。这足以说明如何使用二维数组来实现生命游戏。但完整的实现应该允许无限大小的网格。使用与实现稀疏矩阵类似的方法来实现稀疏生命网格 ADT。

老实说,我不太理解这个概念。您能否给我一个外行人可以理解的简短描述(如果不是简短的代码)?我会很感激。

稀疏生命网格.py

""" My initial GameOfLife code
    Feb 27, 2013
    Sparse Matrix code specially designed for Game of Life
"""
class SparseLifeGrid:

    def __init__(self):
        """
        "pass" just allows this to run w/o crashing.
        Replace it with your own code in each method.
        """
        pass 

    def minRange(self):
        """
        Return the minimum row & column as a list.
        """
        pass

    def maxRange(self):
        """
        Returns the maximum row & column as a list.
        """
        pass 

    def configure(self,coordList):
        pass 

    def clearCell(self,row, col):
        pass 

    def setCell(self,row, col):
        pass 

    def isValidRowCol(val1,val2):
        pass 

    def isLiveCell(self,row, col):
        pass 

    def numLiveNeighbors(self, row,col):
        pass 


    def __getitem__(self,ndxTuple):
        pass 

    def __setitem__(self,ndxTuple, life):
        """
        The possible values are only true or false:
        True says alive, False for dead.
        """
        pass 

    def _findPosition(self,row,col):
        pass 

    def __repr__(self):
        pass 

    def __str__(self):
        """
        This method will only print the non-empty values,
        and a row and column outside the non-empty values.
        """
        pass 

    def evolve(self):
        """
        Return the next generation state.
        """
        pass 

    def hasOccurred(self):
        """
        Check whether  this current state has already occured.
        If not, return False.  If true, return which generation number (1-10).
        """
        pass 

    def __eq__(self,other):
        """
        This is good method if we want to compare two sparse matrices.
        You can just use sparseMatrixA == sparseMatrixB because of this method. 
        """
        pass

    def printLifeGrid(lifeGrid):
        """
        Print a column before and after the live cells
        """
        s=""
        maxRange=lifeGrid.maxRange()
        minRange=lifeGrid.minRange()
        for i in range(minRange[0]-1,maxRange[0]+2):
            for j in range(minRange[1]-1,maxRange[1]+2):
                s+=" "+str(lifeGrid[i,j])
            s+="\n"
        print(s)


class _GoLMatrixElement:
    """
    Storage class for one cell
    """
    def __init__(self,row,col):
        pass 

    def __str__self(self):
        pass 

    def __eq__(self,other):
        pass 
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这是我的主要文件

""" Marcus Brown's  initial GameOfLife code
    Feb 27, 2013
"""
from SparseLifeGrid_Key import SparseLifeGrid
import sys


# You'll probably need to add some other stuff like global variables


""" ####################################################
        Don't change anything below this line: readPoints or main
""" ####################################################

def readPoints(lifeGrid):
    """
    Reads the locations of life and set to the SparseMatrix
    """
    print("1. Enter positions of life with row,col format (e.g., 2,3).")
    print("2. Enter empty line to stop.")

    life=input()
    coordList=[]
    while life:
        points=life.split(",")
        try:    
            coord=[int(points[0]),int(points[1])]
            coordList.append(coord)
        except ValueError:
            print("Ignored input:" + life+ ", row, col not valid numbers")
        except:
                print("Unexpected error:", sys.exc_info()[0])
        print("added, keep entering or enter empty line to stop.")
        life=input()
    print("Thanks, finished entering live cells")
    lifeGrid.configure(coordList)




def main():
    """
    Runs for ten generations if a stable (repeating) state is not found.
    """
    lifeGrid= SparseLifeGrid()
    readPoints(lifeGrid)
    lifeGrid.printLifeGrid()
    patterns=0
    i=0
    while i <10 and patterns == 0:
        """
        Evolve to the next generation
        """
        lifeGrid.evolve()
        """
        Check whether this generation is a repetition of any of the
        previous states.
        If yes return the previous matching generation (1-10).
        """
        patterns=lifeGrid.hasOccurred()
        if patterns != -1:
            break
        i+=1
        lifeGrid.printLifeGrid()

    if i==10:
        print("No pattern found")
    else: 

        print("Pattern found at: " + str(i)+ " of type: " + str(patterns))

main()
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Syl*_*sne 6

稀疏矩阵是一种矩阵的表示形式,其中仅将不等于默认值(通常为 0)的值的位置存储在内存中。在 Python 中表示此类矩阵的一种简单方法是使用字典,其中键是坐标元组(x, y),值是矩阵值。

例如,这个矩阵:

0 0 0 0
0 0 0 0
0 1 0 0
0 0 0 0
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可以有以下表示:

matrix = [[0, 0, 0, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0]]
sparse_matrix = {(1, 2): 1}
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你将访问这样的值:

for x in xrange(4):
  for y in xrange(4):
      assert matrix[y][x] == sparse_matrix.get((x, y), 0)
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这应该足以让您开始。您的练习希望您将这样的稀疏矩阵包装在一个类中,该类将为其提供与传统矩阵相同的接口。

有更高级的方法来存储这种稀疏矩阵,每种方法在复杂性、内存使用量之间进行不同的权衡……