from queue import Queue
from copy import deepcopy
import problem

class Node:
	def __init__(self, state, parent=None, move=""):
		self.state = state
		self.parent = parent
		self.cost = 0
		if parent is None:
			self.moves = str(move)
			self.cost = 0
		else:
			self.moves = parent.moves + " " + str(move)
			self.cost = self.parent.cost + self.state.evaluateRuleCost(move, parent.state)

	def goalState(self):
		return self.state.checkGoalState()

	def costHeuristic(self):
		return self.state.evaluateHeuristic()

	def childGen(self):
		children = Queue()
		print("Children:")
		for r in range(len(self.state.rules)):
			temp = deepcopy(self.state)
			check = temp.executeRule(r, self.state)			
			if check:
				print(temp.dt)
				children.put(Node(temp, self, r))
		return children

	def __str__(self):
		return "Moves list: "+str(self.moves)


5ba4b34683eaa2741d044b5f584a3e2bc049a465
<mask token>


class Node:
    <mask token>

    def goalState(self):
        return self.state.checkGoalState()
    <mask token>
    <mask token>

    def __str__(self):
        return 'Moves list: ' + str(self.moves)

<mask token>


class Node:

    def __init__(self, state, parent=None, move=''):
        self.state = state
        self.parent = parent
        self.cost = 0
        if parent is None:
            self.moves = str(move)
            self.cost = 0
        else:
            self.moves = parent.moves + ' ' + str(move)
            self.cost = self.parent.cost + self.state.evaluateRuleCost(move,
                parent.state)

    def goalState(self):
        return self.state.checkGoalState()

    def costHeuristic(self):
        return self.state.evaluateHeuristic()
    <mask token>

    def __str__(self):
        return 'Moves list: ' + str(self.moves)

<mask token>


class Node:

    def __init__(self, state, parent=None, move=''):
        self.state = state
        self.parent = parent
        self.cost = 0
        if parent is None:
            self.moves = str(move)
            self.cost = 0
        else:
            self.moves = parent.moves + ' ' + str(move)
            self.cost = self.parent.cost + self.state.evaluateRuleCost(move,
                parent.state)

    def goalState(self):
        return self.state.checkGoalState()

    def costHeuristic(self):
        return self.state.evaluateHeuristic()

    def childGen(self):
        children = Queue()
        print('Children:')
        for r in range(len(self.state.rules)):
            temp = deepcopy(self.state)
            check = temp.executeRule(r, self.state)
            if check:
                print(temp.dt)
                children.put(Node(temp, self, r))
        return children

    def __str__(self):
        return 'Moves list: ' + str(self.moves)

from queue import Queue
from copy import deepcopy
import problem


class Node:

    def __init__(self, state, parent=None, move=''):
        self.state = state
        self.parent = parent
        self.cost = 0
        if parent is None:
            self.moves = str(move)
            self.cost = 0
        else:
            self.moves = parent.moves + ' ' + str(move)
            self.cost = self.parent.cost + self.state.evaluateRuleCost(move,
                parent.state)

    def goalState(self):
        return self.state.checkGoalState()

    def costHeuristic(self):
        return self.state.evaluateHeuristic()

    def childGen(self):
        children = Queue()
        print('Children:')
        for r in range(len(self.state.rules)):
            temp = deepcopy(self.state)
            check = temp.executeRule(r, self.state)
            if check:
                print(temp.dt)
                children.put(Node(temp, self, r))
        return children

    def __str__(self):
        return 'Moves list: ' + str(self.moves)

from queue import Queue
from copy import deepcopy
import problem

class Node:
	def __init__(self, state, parent=None, move=""):
		self.state = state
		self.parent = parent
		self.cost = 0
		if parent is None:
			self.moves = str(move)
			self.cost = 0
		else:
			self.moves = parent.moves + " " + str(move)
			self.cost = self.parent.cost + self.state.evaluateRuleCost(move, parent.state)

	def goalState(self):
		return self.state.checkGoalState()

	def costHeuristic(self):
		return self.state.evaluateHeuristic()

	def childGen(self):
		children = Queue()
		print("Children:")
		for r in range(len(self.state.rules)):
			temp = deepcopy(self.state)
			check = temp.executeRule(r, self.state)			
			if check:
				print(temp.dt)
				children.put(Node(temp, self, r))
		return children

	def __str__(self):
		return "Moves list: "+str(self.moves)

