python实现机器人行走效果

379人浏览 / 0人评论

本文实例为大家分享了python实现机器人行走效果的具体代码,供大家参考,具体内容如下

#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# fileName : robot_path.py
# author : zoujiameng@aliyun.com.cn

# 地上有一个m行和n列的方格。一个机器人从坐标0,0的格子开始移动,每一次只能向左,右,上,下四个方向移动一格,但是不能进入行坐标和列坐标的数位之和大于k的格子。 
# 例如,当k为18时,机器人能够进入方格(35,37),因为3+5+3+7 = 18。但是,它不能进入方格(35,38),因为3+5+3+8 = 19。请问该机器人能够达到多少个格子?
class Robot:
# 共用接口,判断是否超过K
  def getDigitSum(self, num):
    sumD = 0
    while(num>0):
      sumD+=num%10
      num/=10
    return int(sumD)

  def PD_K(self, rows, cols, K):
    sumK = self.getDigitSum(rows) + self.getDigitSum(cols)
    if sumK > K:
      return False
    else:
      return True

  def PD_K1(self, i, j, k):
    "确定该位置是否可以走,将复杂约束条件设定"
    index = map(str,[i,j])
    sum_ij = 0
    for x in index:
      for y in x:
        sum_ij += int(y)
    if sum_ij <= k:
      return True
    else:
      return False

# 共用接口,打印遍历的visited二维list
  def printMatrix(self, matrix, r, c):
    print("cur location(", r, ",", c, ")")
    for x in matrix:
      for y in x: 
        print(y, end=' ')
      print()

 #回溯法
  def hasPath(self, threshold, rows, cols):
    visited = [ [0 for j in range(cols)] for i in range(rows) ]
    count = 0
    startx = 0
    starty = 0
    #print(threshold, rows, cols, visited)
    visited = self.findPath(threshold, rows, cols, visited, startx, starty, -1, -1)
    for x in visited:
      for y in x:
        if( y == 1):
          count+=1
    print(visited)
    return count

  def findPath(self, threshold, rows, cols, visited, curx, cury, prex, prey):
    if 0 <= curx < rows and 0 <= cury < cols and self.PD_K1(curx, cury, threshold) and visited[curx][cury] != 1: # 判断当前点是否满足条件
      visited[curx][cury] = 1
    self.printMatrix(visited, curx, cury)
    prex = curx
    prey = cury
    if cury+1 = 0 and self.PD_K1(curx, cury-1, threshold) and visited[curx][cury-1] != 1: # west
      visited[curx][cury-1] = 1
      return self.findPath(threshold, rows, cols, visited, curx, cury-1, prex, prey)
    elif curx+1 < rows and self.PD_K1(curx+1, cury, threshold) and visited[curx+1][cury] != 1: # sourth
      visited[curx+1][cury] = 1
      return self.findPath(threshold, rows, cols, visited, curx+1, cury, prex, prey)
    elif 0 <= curx-1 and self.PD_K1(curx-1, cury, threshold) and visited[curx-1][cury] != 1: # north
      visited[curx-1][cury] = 1
      return self.findPath(threshold, rows, cols, visited, curx-1, cury, prex, prey)
    else: # 返回上一层,此处有问题
      return visited#self.findPath(threshold, rows, cols, visited, curx, cury, prex, prey)
 #回溯法2
  def movingCount(self, threshold, rows, cols):
    visited = [ [0 for j in range(cols)] for i in range(rows) ]
    print(visited)
    count = self.movingCountCore(threshold, rows, cols, 0, 0, visited);
    print(visited)
    return count

  def movingCountCore(self, threshold, rows, cols, row, col, visited):
    cc = 0
    if(self.check(threshold, rows, cols, row, col, visited)): 
      visited[row][col] = 1
      cc = 1 + self.movingCountCore(threshold, rows, cols, row+1, col,visited) + self.movingCountCore(threshold, rows, cols, row, col+1, visited) + self.movingCountCore(threshold, rows, cols, row-1, col, visited) + self.movingCountCore(threshold, rows, cols, row, col-1, visited)
    return cc

  def check(self, threshold, rows, cols, row, col, visited):
    if( 0 <= row < rows and 0 <= col < cols and (self.getDigitSum(row)+self.getDigitSum(col)) k
  def con_visited(self, rows, cols):
    visited = [ [0 for j in range(cols)] for i in range(rows) ]
    return visited
  def traval(self, r, c, rows, cols, k, visited):
    if not (0<=r

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

全部评论

晴天下起了小雨
2017-10-01 18:00
很喜欢,果断关注了
wjmyly7336064
2017-10-01 18:00
相当实用,赞美了
橘大佬
2017-10-01 18:00
就是有些细节再到位点就好了…