def search(grid,init,goal,cost):
# ----------------------------------------
# insert code here
# ----------------------------------------
Nr=len(grid)
Nc=len(grid[0])
def childNode(grid, loc, delta, delta_name):
child=[]
for i in range(len(delta)):
move=delta[i]
newloc=[loc[0]+move[0], loc[1]+move[1]]
if loc[0]+move[0]>=0 and loc[0]+move[0]<Nr \
and loc[1]+move[1]>=0 and loc[1]+move[1]<Nc \
and grid[newloc[0]][newloc[1]] ==0:
child.append([newloc,delta_name[i]])
return child
visited=[]
frontier=Queue()
frontier.push([init,0])
while not frontier.isEmpty():
loc, rlen=frontier.pop()
if not loc in visited:
visited.append(loc)
if loc==goal:
return [rlen, loc[0], loc[1]]
for nextloc, move_name in childNode(grid, loc, delta, delta_name):
if not nextloc in visited:
frontier.push([nextloc, rlen+cost])
return 'fail'
def search(grid, init, goal, cost):
# ----------------------------------------
# insert code here
# ----------------------------------------
Nr = len(grid)
Nc = len(grid[0])
expand = [[-1 for j in range(Nc)] for i in range(Nr)]
policy = [[' ' for j in range(Nc)] for i in range(Nr)]
path = [[' ' for j in range(Nc)] for i in range(Nr)]
count = 0
def childNode(grid, loc, delta, delta_name):
child = []
for i in range(len(delta)):
move = delta[i]
newloc = [loc[0] + move[0], loc[1] + move[1]]
if loc[0]+move[0]>=0 and loc[0]+move[0]<Nr \
and loc[1]+move[1]>=0 and loc[1]+move[1]<Nc \
and grid[newloc[0]][newloc[1]] ==0:
child.append([newloc, delta_name[i]])
return child
visited = []
frontier = Queue()
frontier.push([init, ' ', 0])
while not frontier.isEmpty():
loc, mov, rlen = frontier.pop()
if not loc in visited:
visited.append(loc)
policy[loc[0]][loc[1]] = mov
if loc == goal:
path[goal[0]][goal[1]] = '*'
while loc != init:
x, y = loc
if policy[x][y] == 'v':
loc = [x - 1, y]
path[loc[0]][loc[1]] = 'v'
elif policy[x][y] == '^':
loc = [x + 1, y]
path[loc[0]][loc[1]] = '^'
elif policy[x][y] == '>':
loc = [x, y - 1]
path[loc[0]][loc[1]] = '>'
elif policy[x][y] == '<':
loc = [x, y + 1]
path[loc[0]][loc[1]] = '<'
return path
for nextloc, move_name in childNode(grid, loc, delta, delta_name):
if not nextloc in visited:
frontier.push([nextloc, move_name, rlen + cost])
return 'fail'
def search(grid, init, goal, cost):
# ----------------------------------------
# modify code below
# ----------------------------------------
Nr = len(grid)
Nc = len(grid[0])
expand = [[-1 for j in range(Nc)] for i in range(Nr)]
count = 0
def childNode(grid, loc, delta, delta_name):
child = []
for i in range(len(delta)):
move = delta[i]
newloc = [loc[0] + move[0], loc[1] + move[1]]
if loc[0]+move[0]>=0 and loc[0]+move[0]<Nr \
and loc[1]+move[1]>=0 and loc[1]+move[1]<Nc \
and grid[newloc[0]][newloc[1]] ==0:
child.append([newloc, delta_name[i]])
return child
visited = []
frontier = Queue()
frontier.push([init, 0])
while not frontier.isEmpty():
loc, rlen = frontier.pop()
if not loc in visited:
visited.append(loc)
expand[loc[0]][loc[1]] = count
count += 1
if loc == goal:
return expand
for nextloc, move_name in childNode(grid, loc, delta, delta_name):
if not nextloc in visited:
frontier.push([nextloc, rlen + cost])
return 'fail'
def convert(self, verbose):
self.verbose = verbose
operators = "^*+-\/"
# operands = string.ascii_lowercase + string.digits
output = Queue()
stack = Stack()
for token in self.infix:
operands = re.match("^[a-z]$|^\d+\.\d+$|^\d+$", token)
operators = re.match("^[+-\/*^]$", token)
# if token is a number or variable add it to putput
if operands:
output.push(token)
if self.verbose == True:
print "1 token = %s, output = %s" % (token, output.list[::-1])
# if the token is variable add it mapVariable dictionary
if token in string.ascii_lowercase:
self.mapVariables[token] = ""
# if token is an operator
elif operators:
# while there is another operator on the stack
while not stack.isEmpty():
# if operator is lef-associative and its precedence is less than or equal to that on stack, or operator has precedence less than that on stack (is not left-associative)
if stack.lastOnStack() != "(" and (
(
self.precedence[token][0] <= self.precedence[stack.lastOnStack()][0]
and self.precedence[token][1] == "L"
)
or self.precedence[token][0] < self.precedence[stack.lastOnStack()][0]
):
# push operator to output from stack
output.push(stack.pop())
if self.verbose == True:
print "2 token = %s, output = %s" % (token, output.list[::-1])
else:
break
# push operator to stack
stack.push(token)
if self.verbose == True:
print "3 token = %s, stack = %s" % (token, stack.list[::-1])
# if token is left parenthesis push it to stack
elif token == "(":
stack.push(token)
if self.verbose == True:
print "4 token = %s, stack = %s" % (token, stack.list[::-1])
# if token is right parenthesis
elif token == ")":
# until token at the top of stack is not left parethesis
while stack.lastOnStack() != "(":
# push from stack to output
output.push(stack.pop())
if self.verbose == True:
print "5 token = %s, output = %s" % (token, output.list[::-1])
# and pop left parethesis from stack but not to output
stack.pop()
if self.verbose == True:
print "Left on stack " + str(stack.list[::-1])
print "Output " + str(output.list)
self._rpn = output.list[::-1]
while len(stack.list) > 0:
self._rpn.append(stack.pop())
if self.verbose == True:
print "RPN value = " + str(self._rpn)
return self._rpn
def general_search(problem):
"""Problem: {doamin, method, graph, coords, start, goal}
method: B, D, I, U, A
route: graph search (maintain a closed set) except Astar
tsp: tree search
"""
method = problem['method']
if method not in ['B', 'D', 'I', 'U', 'A']:
print("Enter Correct method!")
return None
if problem['start'] not in problem['graph'].get_nodes() or (
problem['domain'] == 'route' and problem['goal'] not in problem['graph'].get_nodes()):
print("Enter Correct Start/Goal!")
return None
# BFS, DFS
if method in ['B', 'D']:
if method == 'B':
frontier = Queue()
else:
frontier = Stack()
start_node = Node(problem['start'])
frontier.push(start_node)
closed_set = set()
while not frontier.isEmpty():
node = frontier.pop()
closed_set.add(node.value)
if goal_test(problem, node):
path = node.get_path()
cost = cal_path_cost(problem['graph'], path)
return path, cost, frontier.count
# Expansion
closed_set.add(node.value)
adj = problem['graph'].adj(node.value)
for child_value in quicksort(adj):
if push_or_not(problem, node, child_value, closed_set):
child_node = Node(child_value, node)
frontier.push(child_node)
return None
"""Uniform Cost Search / Astar Search"""
if method in ['U', 'A']:
frontier = PriorityQueue()
start_node = Node(problem['start'])
priority = 0 if method == 'U' else astar_heuristic(problem, start_node)
frontier.push(priority, start_node)
closed_set = set()
while not frontier.isEmpty():
node = frontier.pop()
closed_set.add(node.value)
if goal_test(problem, node):
path = node.get_path()
cost = cal_path_cost(problem['graph'], path)
return path, cost, frontier.count
# Expansion
adj = problem['graph'].adj(node.value)
for child_value in quicksort(adj):
if push_or_not(problem, node, child_value, closed_set):
child_cost = node.cost_so_far + \
problem['graph'].get_cost(node.value, child_value) # g_n
child_node = Node(child_value, node, child_cost)
priority = child_cost if method == 'U' else child_cost + \
astar_heuristic(problem, child_node)
frontier.push(priority, child_node)
return None
"""Iterative Deepening Search"""
if method == 'I':
def depth_limited(problem, limit):
"""Depth Limited Search"""
frontier = Stack()
start_node = Node(problem['start'])
frontier.push(start_node)
closed_set = set()
while not frontier.isEmpty():
node = frontier.pop()
closed_set.add(node.value)
if goal_test(problem, node):
path = node.get_path()
cost = cal_path_cost(problem['graph'], path)
return path, cost, frontier.count
if node.depth == limit:
pass
else:
# Expansion
adj = problem['graph'].adj(node.value)
for child_value in quicksort(adj):
if push_or_not(problem, node, child_value, closed_set):
child_node = Node(child_value, node)
frontier.push(child_node)
return None
max_depth = 20
for i in range(max_depth):
result = depth_limited(problem, i)
if result:
return result
def convert(self, verbose):
self.verbose = verbose
operators = '^*+-\/'
#operands = string.ascii_lowercase + string.digits
output = Queue()
stack = Stack()
for token in self.infix:
operands = re.match('^[a-z]$|^\d+\.\d+$|^\d+$', token)
operators = re.match('^[+-\/*^]$', token)
# if token is a number or variable add it to putput
if operands:
output.push(token)
if self.verbose == True:
print "1 token = %s, output = %s" % (token,
output.list[::-1])
# if the token is variable add it mapVariable dictionary
if token in string.ascii_lowercase:
self.mapVariables[token] = ''
#if token is an operator
elif operators:
# while there is another operator on the stack
while not stack.isEmpty():
# if operator is lef-associative and its precedence is less than or equal to that on stack, or operator has precedence less than that on stack (is not left-associative)
if stack.lastOnStack() != '(' and (
(self.precedence[token][0] <=
self.precedence[stack.lastOnStack()][0]
and self.precedence[token][1] == 'L')
or self.precedence[token][0] <
self.precedence[stack.lastOnStack()][0]):
# push operator to output from stack
output.push(stack.pop())
if self.verbose == True:
print "2 token = %s, output = %s" % (
token, output.list[::-1])
else:
break
# push operator to stack
stack.push(token)
if self.verbose == True:
print "3 token = %s, stack = %s" % (token,
stack.list[::-1])
# if token is left parenthesis push it to stack
elif token == '(':
stack.push(token)
if self.verbose == True:
print "4 token = %s, stack = %s" % (token,
stack.list[::-1])
# if token is right parenthesis
elif token == ')':
# until token at the top of stack is not left parethesis
while stack.lastOnStack() != '(':
# push from stack to output
output.push(stack.pop())
if self.verbose == True:
print "5 token = %s, output = %s" % (token,
output.list[::-1])
# and pop left parethesis from stack but not to output
stack.pop()
if self.verbose == True:
print "Left on stack " + str(stack.list[::-1])
print "Output " + str(output.list)
self._rpn = output.list[::-1]
while len(stack.list) > 0:
self._rpn.append(stack.pop())
if self.verbose == True:
print "RPN value = " + str(self._rpn)
return self._rpn
