solved dfs and bfs
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@@ -87,53 +87,54 @@ def depthFirstSearch(problem):
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print("Start's successors:", problem.getSuccessors(problem.getStartState()))
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"""
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"*** YOUR CODE HERE ***"
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from game import Directions
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from util import Stack
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actions, visited, fringe = [], [], Stack()
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paths = {}
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goal = None
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print("Start:", problem.getStartState())
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print("Is the start a goal?", problem.isGoalState(problem.getStartState()))
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print("Start's successors:", problem.getSuccessors(problem.getStartState()))
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# print("Start:", problem.getStartState())
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# print("Is the start a goal?", problem.isGoalState(problem.getStartState()))
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# print("Start's successors:", problem.getSuccessors(problem.getStartState()))
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fringe.push((problem.getStartState(), '', 0))
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visited, fringe = [], Stack()
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fringe.push((problem.getStartState(), ()))
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while fringe.isEmpty() is False:
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curr_state = fringe.pop()
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if curr_state in visited:
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continue
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if problem.isGoalState(curr_state[0]):
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return list(curr_state[1])
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visited.append(curr_state)
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if curr_state[0] not in visited:
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visited.append(curr_state[0])
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if problem.isGoalState(curr_state):
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goal = curr_state
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break
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# if curr_state[1]:
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# actions.append(curr_state[1])
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for successor in problem.getSuccessors(curr_state[0]):
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added_path = curr_state[1] + (successor[1],) #adding tuples
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for successor in problem.getSuccessors(curr_state[0]):
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fringe.push(successor)
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paths[successor[0]] = curr_state
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curr_pos = goal
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print(goal)
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# while curr_pos[0] != problem.getStartState():
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# actions.append(curr_pos[1])
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# curr_pos = paths[curr_pos[0]]
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# print(curr_pos)
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# # curr_pos = (problem.getStartState(), '', 0)\
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# print(actions)
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return [Directions.WEST];
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if successor[0] not in visited:
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fringe.push((successor[0], added_path))
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def breadthFirstSearch(problem):
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"""Search the shallowest nodes in the search tree first."""
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"*** YOUR CODE HERE ***"
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util.raiseNotDefined()
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from util import Queue
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visited, fringe = [], Queue()
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fringe.push((problem.getStartState(), ()))
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while fringe.isEmpty() is False:
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curr_state = fringe.pop()
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if problem.isGoalState(curr_state[0]):
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return list(curr_state[1])
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if curr_state[0] not in visited:
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visited.append(curr_state[0])
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for successor in problem.getSuccessors(curr_state[0]):
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added_path = curr_state[1] + (successor[1],) #adding tuples
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if successor[0] not in visited:
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fringe.push((successor[0], added_path))
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def uniformCostSearch(problem):
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"""Search the node of least total cost first."""
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