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basicSearch.py
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323 lines (221 loc) · 7.38 KB
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# Nick Weisberg
import UninformedSearch as BlindSearch
import InformedSearch as Search
import Problem as P
print()
print()
print()
print("///////////// Comparing Search Algorithms ////////////")
print("//////////// Shows time, nodes & space ////////////")
print("/////////// Nick Weisberg ///////////")
print()
print()
inputFile = input("Which input file would you like to read from? (easy, moderate, hard, veryhard, puremadness) ")
print()
print("Reading files from "+inputFile+".txt: ")
print()
testProblems = []
file = open(inputFile + ".txt", "r")
lines = file.readlines()
for line in lines:
print(line)
line = line.strip()
line = line.replace(" ", " ")
line = line.split(" ")
testProblems.append(line)
timeLimit = int(input("Enter a time limit for the searches (in seconds): "))
print()
print()
print("Performing A* Search")
print()
ad = 20
far = 40
step = 40
exp = 1
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,len(testProblems)):
testProblem = testProblems[i]
state = P.InformedState(testProblem)
problem = P.InformedProblem(state)
searcher = Search.InformedSearch(problem,timelimit=timeLimit)
answer = searcher.AStarSearch(state, ad, far, step, exp)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time A* Search took was " + str(avTime/counter) + " seconds")
print("The average number of nodes A* Search searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for A* Search was " + str(avSpace/counter))
print()
print()
print()
print("Performing Greedy Best First Search")
print()
ad = 20
far = 40
step = 40
exp = 1
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,len(testProblems)):
testProblem = testProblems[i]
state = P.InformedState(testProblem)
problem = P.InformedProblem(state)
searcher = Search.InformedSearch(problem,timelimit=timeLimit)
answer = searcher.BestFirstSearch(state, ad, far, step, exp)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time BestFirstSearch Search took was " + str(avTime/counter) + " seconds")
print("The average number of nodes BestFirstSearch Search searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for BestFirstSearch Search was " + str(avSpace/counter))
print()
print()
print()
print("Performing Uniform Cost Search")
print()
ad = 20
far = 40
step = 40
exp = 1
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,len(testProblems)):
testProblem = testProblems[i]
state = P.InformedState(testProblem)
problem = P.InformedProblem(state)
searcher = Search.InformedSearch(problem,timelimit=timeLimit)
answer = searcher.UCSSearch(state, ad, far, step, exp)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time UCSSearch Search took was " + str(avTime/counter) + " seconds")
print("The average number of nodes UCSSearch Search searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for UCSSearch Search was " + str(avSpace/counter))
print()
print()
print()
print("Performing Breadth First Search: ")
print()
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,len(testProblems)):
testProblem = testProblems[i]
state = P.State(testProblem)
problem = P.Problem(state)
searcher = BlindSearch.Search(problem,timelimit=timeLimit)
answer = searcher.BreadthFirstSearch(state)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time BreadthFirstSearch took was " + str(avTime/counter) + " seconds")
print("The average number of nodes BreadthFirstSearch searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for BreadthFirstSearch was " + str(avSpace/counter))
print()
print()
print()
print("Performing Depth Limited Search: ")
print()
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
depth = int(input("What is the maximum depth you would like Depth Limited Search to search to? "))
for i in range (0,19):
testProblem = testProblems[i]
state = P.State(testProblem)
problem = P.Problem(state)
searcher = BlindSearch.Search(problem,timelimit=timeLimit)
answer = searcher.DepthLimitedSearch(state, depth)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time DepthLimitedSearch took was " + str(avTime/counter) + " seconds")
print("The average number of nodes DepthLimitedSearch searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for DepthLimitedSearch was " + str(avSpace/counter))
print()
print()
print()
print("Performing Iterative Deepening Search: ")
print()
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,19):
testProblem = testProblems[i]
state = P.State(testProblem)
problem = P.Problem(state)
searcher = BlindSearch.Search(problem,timelimit=timeLimit)
answer = searcher.IDS(state)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time IterativeDeepingSearch took was " + str(avTime/counter) + " seconds")
print("The average number of nodes IterativeDeepingSearch searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for IterativeDeepingSearch was " + str(avSpace/counter))
print()
print()
print()
print("Performing Depth First Search: ")
print()
avTime = 0
avNodes = 0
avSpace = 0
counter = 0
for i in range (0,19):
testProblem = testProblems[i]
state = P.State(testProblem)
problem = P.Problem(state)
searcher = BlindSearch.Search(problem,timelimit=timeLimit)
answer = searcher.DepthFirstSearch(state)
if answer.success == True:
avTime = avTime + answer.time
avNodes = avNodes + answer.nodes
avSpace = avSpace + answer.space
counter = counter + 1
print(str(answer))
print()
if counter>=1:
print("The average time DepthFirstSearch took was " + str(avTime/counter) + " seconds")
print("The average number of nodes DepthFirstSearch searched was " + str(avNodes/counter) + " nodes")
print("The average maximum size of the frontier for DepthFirstSearch was " + str(avSpace/counter))
print()