# 找到最小的元素
def FindSmall(list):
min=list[0]
for i in range(len(list)):
if list[i]<min:
min=list[i]
return min
# 选择排序
def Select_Sort(list):
newArr=[]
for i in range(len(list)):
minValue=FindSmall(list)
newArr.append(minValue)
list.remove(minValue)
return newArr
testArr=[10,32,37,21,223]
print(Select_Sort(testArr))
# 快速排序
def Quick_Sort(list):
if len(list)<2:
return list
else:
temp=list[0]
less=[i for i in list[1:]if i<temp]
more=[i for i in list[1:]if i>temp]
return Quick_Sort(less)+[temp]+Quick_Sort(more)
testAry=[13,34,63,24,576,2]
print(Quick_Sort(testAry))
# 二分查找
def Item_Search(list,item):
low=0
high=len(list)-1
while low<=high:
middle=(low+high)//2
print(list[middle])
if list[middle]>item:
high=middle-1
elif list[middle]<item:
low=middle+1
else:
return middle
test_list=[1,3,5,7,9,11,13,15,17,19,21]
Item_Search(test_list,11)
# print(Item_Search(test_list,11))
# 广度优先搜索
graph={}
graph["coco"]=["william","jack","joy"]
graph["jack"]=["any","boy"]
graph["william"]=["tom"]
graph["joy"]=["ku","jom"]
graph["any"]=[]
graph["boy"]=[]
graph["ku"]=[]
graph["jom"]=[]
from collections import deque
def person_seller(name):
return name=='tom'
def Search(name):
searched=[] # 用于记录检查过的人,防止进入死循环
search_queue=deque() # 创建队列
search_queue+=graph[name]
while search_queue:
person=search_queue.popleft()
if not person in searched: # 仅当这个人没检查过时才检查
if person_seller(person):
print("the seller is {0}".format(person))
return True
else:
search_queue+=graph[person]
searched.append(person) # 将这个人标记为检查过
return False
print(Search("coco"))
# 贪婪算法
fruits=set(["苹果","猕猴桃","沙棘果","西瓜","樱桃","空心李","橙子","地瓜"])
box={}
box["b1"]=set(["苹果","西瓜","橙子"])
box["b2"]=set(["猕猴桃","地瓜","沙棘果"])
box["b3"]=set(["空心李","樱桃","苹果"])
box["b4"]=set(["猕猴桃","橙子"])
box["b5"]=set(["沙棘果","地瓜"])
final_boxs=set()
while fruits:
best_box=None
fruits_covered=set()
for boxItem,fruitsItem in box.items():
covered=fruits & fruitsItem
if len(covered)>len(fruits_covered):
best_box=boxItem
fruits_covered=covered
fruits-=fruits_covered
final_boxs.add(best_box)
print(final_boxs)
1438
11
61
533
179
33
200
418
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