def move(self, board, currentPlayer):
#blockPrint()j
print(f"mctsPlayer is searching for the best move")
montecarlo.simulate(50)
#enablePrint()
chosen_child_node = montecarlo.make_choice()
return (chosen_child_node.state.get_previous_move(self.root.state))
def parallel(domain, func, iters, pool_size=None):
''' Run simulation in parallel using multiprocessing. '''
if pool_size is None:
return mc.simulate(domain, func, iters)
log.info('using pool of %d processes', pool_size)
pool = multiprocessing.Pool(pool_size)
results = []
for _ in range(pool_size):
args = [domain, func, iters / pool_size]
# NOTE: args must be serializable (via cPickle),
# since mc.simulate will run in another Python process.
res = pool.apply_async(mc.simulate, args)
results.append(res)
results = [res.get() for res in results]
return sum(results) / len(results)
def test_zero(self):
res = mc.simulate([], func=lambda: 0, iters=1)
self.assertEquals(0, res)
def init_board(state, currentPlayer):
self.board = board.Board(state, currentPlayer)
self.root = Node(board.Board(board.getState(), currentPlayer))
santoriniSim.player_number = 2
montecarlo = MonteCarlo(root)
montecarlo.simulate(self.num_sims)
def index():
plot = ""
errors = ""
for fname in os.listdir(
out_dir): # delete previously generated plot images
path = out_dir + fname
os.remove(path)
if request.method == "GET":
return render_template("display_plot.html")
if request.method == "POST":
pv = None
pmt = None
t = None
r = None
sd = None
N = None
inflation = 0
# define dictionary of values: (interest, stddev). Key is percentage in equities.
interest_sd_dict = {
'100': (6.6, 10.6),
'80': (5.9, 8.7),
'60': (5.2, 6.8),
'40': (4.6, 5.3),
'20': (3.9, 4.1),
'0': (3.2, 3.9)
}
# validate input ----------------------------------------------------------------------------
try:
pv = float(request.form["pv"])
except:
errors += "PV {} is invalid.\n".format(request.form["pv"])
try:
pmt = float(request.form["pmt"])
except:
errors += "Payment {} is invalid.\n".format(request.form["pmt"])
try:
t = int(request.form["t"])
if t <= 0:
errors += "# years must be greater than 0.\n"
except:
errors += "# years {} is not a whole number.\n".format(
request.form["t"])
try:
asset_mix = request.form['asset_mix']
except:
errors += "You must select an asset mix to determine the expected annual rate of return."
try:
N = int(request.form["num_sims"])
except:
errors += "You must select the number of simulations to run."
# if errors occurred
if errors:
return render_template("error.html", errors=errors)
# -------------------------------------------------------------------------------------------
# define variables and simulate
inflation = request.form.get('inflation')
inflation = float(inflation) if inflation else 0
r, sd = interest_sd_dict[
asset_mix] # get value from radio button to extract r, sd
r -= inflation
median, plot_fname = simulate(pv, pmt, t, r, sd, N=N)
plot = "/static/images/{}".format(plot_fname)
return render_template("display_plot.html", plot=plot)
