-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcode.py
More file actions
392 lines (342 loc) · 14.8 KB
/
code.py
File metadata and controls
392 lines (342 loc) · 14.8 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
from itertools import combinations
import operator
#Author Tianyu Jin
#An A star Agent
#class Node
class Node:
def __init__(self, cost, depth, PositionA, PositionB, PositionC, PositionD,
PositionP):
self.PositionA = PositionA
self.PositionB = PositionB
self.PositionC = PositionC
self.PositionD = PositionD
self.PositionP = PositionP
self.parent = None
self.depth = depth
self.heuristic = 4
if PositionA:
self.heuristic -= 1
if PositionD:
self.heuristic -= 1
if PositionC:
self.heuristic -= 1
if PositionD:
self.heuristic -= 1
self.cost = cost
self.GandH = self.cost + self.heuristic
#print the information of each node expanded
def getstring(self):
start = " Expanding: Starting point: "
end = " Destination: "
strcost = " Cost: " + str(self.cost)
strheu = " Heuristic: " + str(self.heuristic)
strDepth = " Depth: "+ str(self.depth)
parentstate = ""
if(self.PositionA == False):
start = start + "A"
else:
end = end + "A"
if(self.PositionB == False):
start = start + "B"
else:
end = end + "B"
if(self.PositionC == False):
start = start + "C"
else:
end = end + "C"
if(self.PositionD == False):
start = start + "D"
else:
end = end + "D"
if(self.PositionP == False):
start = start + "P"
else:
end = end + "P"
if (self.parent == None):
parentstate = " Parent State: None "
else:
parentstart = "Starting Point: "
parentend = " Destination: "
parentstate = "Parent State: "
if(self.parent.PositionA == False):
parentstart = parentstart + "A"
else:
parentend = parentend + "A"
if(self.parent.PositionB == False):
parentstart = parentstart + "B"
else:
parentend = parentend + "B"
if(self.parent.PositionC == False):
parentstart = parentstart + "C"
else:
parentend = parentend + "C"
if(self.parent.PositionD == False):
parentstart = parentstart + "D"
else:
parentend = parentend + "D"
if(self.parent.PositionP == False):
parentstart = parentstart + "P"
else:
parentend = parentend + "P"
parentstate = parentstate + parentstart + parentend
string = start + end + strcost + strheu + strDepth + "\n" + parentstate
return(string)
# put children in the frontier
def putFrontier(self, frontier, explored):
avilable = []
#robot movable if on the same side with battery
if self.PositionA == self.PositionP:
avilable.append("A")
if self.PositionB == self.PositionP:
avilable.append("B")
if self.PositionC == self.PositionP:
avilable.append("C")
if self.PositionD == self.PositionP:
avilable.append("D")
#use the python combination algorithm and calculate the possible movements.
comb1 = combinations(avilable, 1)
comb2 = combinations(avilable, 2)
#handle single movement situation
for character in list(comb1):
if character == ('A',):
exist = False
newNode = Node(self.cost + 1, self.depth + 1, not self.PositionA,
self.PositionB, self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if character == ('B',):
exist = False
newNode = Node(self.cost + 2, self.depth + 1, self.PositionA, not
self.PositionB, self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if character == ('C',):
exist = False
newNode = Node(self.cost + 5, self.depth + 1, self.PositionA,
self.PositionB, not self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if character == ('D',):
exist = False
newNode = Node(self.cost + 10, self.depth + 1, self.PositionA,
self.PositionB, self.PositionC, not self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
#handle double movement situation
for situation in list(comb2):
if situation == ('A','B'):
exist = False
newNode = Node(self.cost + 2, self.depth + 1, not self.PositionA,
not self.PositionB, self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if situation == ('A','C'):
exist = False
newNode = Node(self.cost + 5, self.depth + 1, not self.PositionA,
self.PositionB, not self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if situation == ('A','D'):
exist = False
newNode = Node(self.cost + 10, self.depth + 1, not self.PositionA,
self.PositionB, self.PositionC, not self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if situation == ('B','C'):
exist = False
newNode = Node(self.cost + 5, self.depth + 1, self.PositionA, not
self.PositionB, not self.PositionC, self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if situation == ('B','D'):
exist = False
newNode = Node(self.cost + 10, self.depth + 1, self.PositionA, not
self.PositionB, self.PositionC, not self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
if situation == ('C','D'):
exist = False
newNode = Node(self.cost + 10, self.depth + 1, self.PositionA,
self.PositionB, not self.PositionC, not self.PositionD, not self.PositionP)
newNode.parent = self
if len(explored) == 0:
frontier.append(newNode)
for node in list(explored):
if (node.PositionA == newNode.PositionA) and (node.PositionB ==
newNode.PositionB) and (node.PositionC == newNode.PositionC) and (node.PositionD ==
newNode.PositionD) and (node.PositionP == newNode.PositionP):
exist = True
if not exist:
frontier.append(newNode)
class nodeTree:
def __init__(self):
self.root = None
# the agent
class UCAgent:
def Search(self, startString, endString):
frontier = []
actions = []
explored = []
path = []
done = False
PositionA = False
PositionB = False
PositionC = False
PositionD = False
PositionP = False
#check where the robots are
if startString.find('A') == -1:
PositionA = True
if startString.find('B') == -1:
PositionB = True
if startString.find('C') == -1:
PositionC = True
if startString.find('D') == -1:
PositionD = True
if startString.find('P') == -1:
PositionP = True
tree = nodeTree()
initialNode = Node(0, 0, PositionA, PositionB, PositionC, PositionD,
PositionP)
currentNode = initialNode
finalNode = None
tree.root = initialNode
frontier.append(initialNode)
#done when all the robots have cross the bridge
while done == False:
if len(frontier) == 0:
actions.append("Failed")
return(actions)
if PositionA and PositionB and PositionC and PositionD:
done = True
print("...Path found.")
else:
#robot movable if on the same side with battery
frontier.sort(key=operator.attrgetter('GandH'))
#expand the node with smallest time cost.
currentNode = frontier[0]
del frontier[0]
#the information of expanding
expanding = currentNode.getstring()
print(expanding)
currentNode.putFrontier(frontier, explored)
explored.append(currentNode)
#check where the robots are
PositionA = currentNode.PositionA
PositionB = currentNode.PositionB
PositionC = currentNode.PositionC
PositionD = currentNode.PositionD
PositionP = currentNode.PositionP
finalNode = currentNode
# print the information after searching
print("The number of node expanded: ", len(explored))
print("The cost of path is: ", finalNode.cost )
node = finalNode
#place nodes in the path
while not (node == None):
path.append(node)
node = node.parent
path.sort(key=operator.attrgetter('depth'))
i = 0
#determine movements in each step by comparing list of nodes
while i != finalNode.depth:
thisNode = path[i]
nextNode = path[i + 1]
action = ""
if thisNode.PositionP:
action = action + "Come back: "
else:
action = action + "Go across: "
if thisNode.PositionA != nextNode.PositionA:
action = action + "A"
if thisNode.PositionB != nextNode.PositionB:
action = action + "B"
if thisNode.PositionC != nextNode.PositionC:
action = action + "C"
if thisNode.PositionD != nextNode.PositionD:
action = action + "D"
action = action + "P"
actions.append(action)
i = i + 1
return actions
#test harness
agent = UCAgent()
#Ask for initial state
InputString1 = input("Please enter the first string: ")
InputString2 = input("Please enter the second string: ")
actions = agent.Search(InputString1, InputString2)
print("The movements:")
for action in list(actions):
print (action)