def solve():
sets=[] # The variable 'sets' stores multiple problem sets.
# Each problem set comes from a different folder in /Problems/
# Additional sets of problems will be used when grading projects.
# You may also write your own problems.
r = open(os.path.join("Problems","ProblemSetList.txt")) # ProblemSetList.txt lists the sets to solve.
line = getNextLine(r) # Sets will be solved in the order they appear in the file.
while not line=="": # You may modify ProblemSetList.txt for design and debugging.
sets.append(ProblemSet(line)) # We will use a fresh copy of all problem sets when grading.
line=getNextLine(r) # We will also use some problem sets not given in advance.
# Initializing problem-solving agent from Solver.java
agent=Solver() # Your agent will be initialized with its default constructor.
# You may modify the default constructor in Solver.java
# Running agent against each problem set
with open("AgentAnswers.csv","w") as results: # Results will be written to ProblemResults.csv.
# Note that each run of the program will overwrite the previous results.
# Do not write anything else to ProblemResults.txt during execution of the program.
results.write("ProblemSet,RProblem,Solver's Answer\n")
for set in sets:
for problem in set.problems: # Your agent will solve one problem at a time.
#try:
answer = agent.Solve(problem) # The problem will be passed to your agent as a RProblem object as a parameter to the Solve method
# Your agent should return its answer at the conclusion of the execution of Solve.
results.write("%s,%s,%d\n" % (set.name, problem.name, answer))
r.close()
from queue import PriorityQueue
from State import State
from State_string import State_string
from Solver import Solver
if __name__ == "__main__":
start1 = "hma"
goal1 = "ham"
print("Starting...")
a = Solver(start1, goal1)
a.Solve()
for i in range(len(a.path)):
print("%d)" % i + a.path[i])
