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服務器之家 - 腳本之家 - Python - python實現機器人行走效果

python實現機器人行走效果

2021-01-10 00:03zoujm-hust12 Python

這篇文章主要為大家詳細介紹了python實現機器人行走效果,具有一定的參考價值,感興趣的小伙伴們可以參考一下

本文實例為大家分享了python實現機器人行走效果的具體代碼,供大家參考,具體內容如下

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#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# fileName : robot_path.py
# author : zoujiameng@aliyun.com.cn
 
# 地上有一個m行和n列的方格。一個機器人從坐標0,0的格子開始移動,每一次只能向左,右,上,下四個方向移動一格,但是不能進入行坐標和列坐標的數位之和大于k的格子。
# 例如,當k為18時,機器人能夠進入方格(35,37),因為3+5+3+7 = 18。但是,它不能進入方格(35,38),因為3+5+3+8 = 19。請問該機器人能夠達到多少個格子?
class Robot:
# 共用接口,判斷是否超過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):
    "確定該位置是否可以走,將復雜約束條件設定"
    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,打印遍歷的visited二維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: # 判斷當前點是否滿足條件
      visited[curx][cury] = 1
    self.printMatrix(visited, curx, cury)
    prex = curx
    prey = cury
    if cury+1 < cols and self.PD_K1(curx, cury+1, threshold) and visited[curx][cury+1] != 1: # east
      visited[curx][cury+1] = 1
      return self.findPath(threshold, rows, cols, visited, curx, cury+1, prex, prey)
    elif 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: # 返回上一層,此處有問題
      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)) <= threshold and visited[row][col] != 1):
      return True;
    return False
 
# 暴力法,直接用當前坐標和K比較
  def force(self, rows, cols, k):
    count = 0
    for i in range(rows):
      for j in range(cols):
        if self.PD_K(i, j, k):
          count+=1
    return count
# 暴力法2, 用遞歸法來做
  def block(self, r, c, k):
    s = sum(map(int, str(r)+str(c)))
    return s>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<rows and 0<=c<cols):
      return
    if visited[r][c] != 0 or self.block(r, c, k):
      visited[r][c] = -1
      return
    visited[r][c] = 1
    global acc
    acc+=1
    self.traval(r+1, c, rows, cols, k, visited)
    self.traval(r, c+1, rows, cols, k, visited)
    self.traval(r-1, c, rows, cols, k, visited)
    self.traval(r, c-1, rows, cols, k, visited)
    return acc
 
if __name__ == "__main__":
  # 調用測試
  m = 3
  n = 3
  k = 1
  o = Robot()
  print(o.hasPath(k, m, n))
  print(o.force(m,n,k))
  global acc
  acc = 0
  print(o.traval(0, 0, m, n, k, o.con_visited(m,n)))
  print(o.movingCount(k, m, n))

以上就是本文的全部內容,希望對大家的學習有所幫助,也希望大家多多支持服務器之家。

原文鏈接:http://blog.csdn.net/shentong1/article/details/78775710

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