def test_tft_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.1,
Point(x=0.0, y=0.5): 1.08,
Point(x=0.0, y=0.75): 1.04,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.26,
Point(x=0.25, y=0.5): 2.1,
Point(x=0.25, y=0.75): 1.66,
Point(x=0.25, y=1.0): 1.64,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 2.5,
Point(x=0.5, y=0.5): 2.12,
Point(x=0.5, y=0.75): 1.86,
Point(x=0.5, y=1.0): 1.88,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.84,
Point(x=0.75, y=0.5): 2.36,
Point(x=0.75, y=0.75): 2.28,
Point(x=0.75, y=1.0): 1.98,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.78,
Point(x=1.0, y=0.5): 2.56,
Point(x=1.0, y=0.75): 2.44,
Point(x=1.0, y=1.0): 2.18}
af = axl.AshlockFingerprint(axl.TitForTat, self.probe)
data = af.fingerprint(turns=50, repetitions=2, step=0.25)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key])
def test_majority_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.18,
Point(x=0.0, y=0.5): 1.98,
Point(x=0.0, y=0.75): 1.04,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.16,
Point(x=0.25, y=0.5): 1.74,
Point(x=0.25, y=0.75): 1.96,
Point(x=0.25, y=1.0): 2.24,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 2.46,
Point(x=0.5, y=0.5): 2.44,
Point(x=0.5, y=0.75): 2.24,
Point(x=0.5, y=1.0): 2.74,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.52,
Point(x=0.75, y=0.5): 2.16,
Point(x=0.75, y=0.75): 2.1,
Point(x=0.75, y=1.0): 2.44,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.22,
Point(x=1.0, y=0.5): 1.64,
Point(x=1.0, y=0.75): 2.08,
Point(x=1.0, y=1.0): 2.26}
af = axl.AshlockFingerprint(axl.GoByMajority, self.probe)
data = af.fingerprint(turns=50, repetitions=2, step=0.25)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key])
def test_majority_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process.
test_data = {
Point(x=0.0, y=0.0): 3.000,
Point(x=0.0, y=0.25): 1.940,
Point(x=0.0, y=0.5): 1.130,
Point(x=0.0, y=0.75): 1.030,
Point(x=0.0, y=1.0): 0.980,
Point(x=0.25, y=0.0): 3.000,
Point(x=0.25, y=0.25): 2.130,
Point(x=0.25, y=0.5): 1.940,
Point(x=0.25, y=0.75): 2.060,
Point(x=0.25, y=1.0): 1.940,
Point(x=0.5, y=0.0): 3.000,
Point(x=0.5, y=0.25): 2.300,
Point(x=0.5, y=0.5): 2.250,
Point(x=0.5, y=0.75): 2.420,
Point(x=0.5, y=1.0): 2.690,
Point(x=0.75, y=0.0): 3.000,
Point(x=0.75, y=0.25): 2.400,
Point(x=0.75, y=0.5): 2.010,
Point(x=0.75, y=0.75): 2.390,
Point(x=0.75, y=1.0): 2.520,
Point(x=1.0, y=0.0): 3.000,
Point(x=1.0, y=0.25): 2.360,
Point(x=1.0, y=0.5): 1.740,
Point(x=1.0, y=0.75): 2.260,
Point(x=1.0, y=1.0): 2.260,
}
af = axl.AshlockFingerprint(axl.GoByMajority, axl.TitForTat)
data = af.fingerprint(turns=50, repetitions=2, step=0.25, progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_wsls_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.46,
Point(x=0.0, y=0.5): 1.54,
Point(x=0.0, y=0.75): 1.12,
Point(x=0.0, y=1.0): 0.5,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.04,
Point(x=0.25, y=0.5): 2.0,
Point(x=0.25, y=0.75): 1.34,
Point(x=0.25, y=1.0): 0.9,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 3.0,
Point(x=0.5, y=0.5): 2.06,
Point(x=0.5, y=0.75): 1.36,
Point(x=0.5, y=1.0): 1.0,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 3.56,
Point(x=0.75, y=0.5): 2.06,
Point(x=0.75, y=0.75): 3.0,
Point(x=0.75, y=1.0): 1.04,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 4.86,
Point(x=1.0, y=0.5): 4.9,
Point(x=1.0, y=0.75): 4.9,
Point(x=1.0, y=1.0): 1.3}
af = axl.AshlockFingerprint(self.strategy, self.probe)
data = af.fingerprint(turns=50, repetitions=2, step=0.25)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key])
def test_tft_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process.
test_data = {
Point(x=0.0, y=0.0): 3.000,
Point(x=0.0, y=0.25): 1.820,
Point(x=0.0, y=0.5): 1.130,
Point(x=0.0, y=0.75): 1.050,
Point(x=0.0, y=1.0): 0.980,
Point(x=0.25, y=0.0): 3.000,
Point(x=0.25, y=0.25): 2.440,
Point(x=0.25, y=0.5): 1.770,
Point(x=0.25, y=0.75): 1.700,
Point(x=0.25, y=1.0): 1.490,
Point(x=0.5, y=0.0): 3.000,
Point(x=0.5, y=0.25): 2.580,
Point(x=0.5, y=0.5): 2.220,
Point(x=0.5, y=0.75): 2.000,
Point(x=0.5, y=1.0): 1.940,
Point(x=0.75, y=0.0): 3.000,
Point(x=0.75, y=0.25): 2.730,
Point(x=0.75, y=0.5): 2.290,
Point(x=0.75, y=0.75): 2.310,
Point(x=0.75, y=1.0): 2.130,
Point(x=1.0, y=0.0): 3.000,
Point(x=1.0, y=0.25): 2.790,
Point(x=1.0, y=0.5): 2.480,
Point(x=1.0, y=0.75): 2.310,
Point(x=1.0, y=1.0): 2.180,
}
af = axl.AshlockFingerprint(axl.TitForTat(), axl.TitForTat)
data = af.fingerprint(turns=50, repetitions=2, step=0.25, progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_wsls_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process.
test_data = {
Point(x=0.0, y=0.0): 3.000,
Point(x=0.0, y=0.25): 1.710,
Point(x=0.0, y=0.5): 1.440,
Point(x=0.0, y=0.75): 1.080,
Point(x=0.0, y=1.0): 0.500,
Point(x=0.25, y=0.0): 3.000,
Point(x=0.25, y=0.25): 2.280,
Point(x=0.25, y=0.5): 1.670,
Point(x=0.25, y=0.75): 1.490,
Point(x=0.25, y=1.0): 0.770,
Point(x=0.5, y=0.0): 3.000,
Point(x=0.5, y=0.25): 2.740,
Point(x=0.5, y=0.5): 2.240,
Point(x=0.5, y=0.75): 1.730,
Point(x=0.5, y=1.0): 1.000,
Point(x=0.75, y=0.0): 3.000,
Point(x=0.75, y=0.25): 3.520,
Point(x=0.75, y=0.5): 2.830,
Point(x=0.75, y=0.75): 1.750,
Point(x=0.75, y=1.0): 1.250,
Point(x=1.0, y=0.0): 3.000,
Point(x=1.0, y=0.25): 4.440,
Point(x=1.0, y=0.5): 4.410,
Point(x=1.0, y=0.75): 4.440,
Point(x=1.0, y=1.0): 1.300,
}
af = axl.AshlockFingerprint(axl.WinStayLoseShift(), axl.TitForTat)
data = af.fingerprint(turns=50, repetitions=2, step=0.25, progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def obtain_fingerprint(strategy, turns, repetitions, probe=axl.TitForTat):
"""
Obtain the fingerprint for a given strategy and save the figure to the
assets dir
"""
fp = axl.AshlockFingerprint(strategy, probe)
fp.fingerprint(turns=turns,
repetitions=repetitions,
progress_bar=False,
processes=0)
plot = fp.plot()
plot.savefig("assets/{}.png".format(format_filename(strategy.name)))
write_data_to_file(fp,
"assets/{}.csv".format(format_filename(strategy.name)))
def test_majority_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {
Point(x=0.25, y=1.0): 2.179,
Point(x=0.25, y=0.5): 1.9,
Point(x=0.75, y=0.5): 1.81,
Point(x=0.25, y=0.25): 2.31,
Point(x=0.0, y=0.75): 1.03,
Point(x=0.75, y=1.0): 2.58,
Point(x=0.5, y=0.25): 2.34,
Point(x=0.0, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.4,
Point(x=1.0, y=0.75): 2.0,
Point(x=1.0, y=0.5): 1.74,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.219,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.94,
Point(x=0.0, y=0.5): 1.13,
Point(x=0.5, y=0.75): 2.6,
Point(x=0.5, y=0.5): 1.89,
Point(x=0.75, y=0.75): 2.13,
Point(x=0.5, y=1.0): 2.7,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.25, y=0.75): 1.859,
Point(x=1.0, y=1.0): 2.26
}
af = axl.AshlockFingerprint(axl.GoByMajority, self.probe)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_tft_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {
Point(x=0.25, y=1.0): 1.63,
Point(x=0.25, y=0.5): 1.92,
Point(x=0.75, y=0.5): 2.33,
Point(x=0.25, y=0.25): 2.31,
Point(x=0.0, y=0.75): 1.05,
Point(x=0.75, y=1.0): 2.07,
Point(x=0.5, y=0.25): 2.6,
Point(x=0.0, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.76,
Point(x=1.0, y=0.75): 2.38,
Point(x=1.0, y=0.5): 2.58,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.72,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.82,
Point(x=0.0, y=0.5): 1.13,
Point(x=0.5, y=0.75): 1.93,
Point(x=0.5, y=0.5): 2.46,
Point(x=0.75, y=0.75): 2.3,
Point(x=0.5, y=1.0): 1.91,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.25, y=0.75): 1.62,
Point(x=1.0, y=1.0): 2.18
}
af = axl.AshlockFingerprint(axl.TitForTat, self.probe)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_wsls_fingerprint(self):
axl.seed(0) # Fingerprinting is a random process
test_data = {
Point(x=0.25, y=1.0): 0.84,
Point(x=0.25, y=0.5): 1.85,
Point(x=0.75, y=0.5): 3.01,
Point(x=0.25, y=0.25): 2.23,
Point(x=0.0, y=0.75): 1.08,
Point(x=0.75, y=1.0): 1.14,
Point(x=0.5, y=0.25): 2.66,
Point(x=0.0, y=0.0): 3.0,
Point(x=0.75, y=0.25): 3.12,
Point(x=1.0, y=0.75): 3.57,
Point(x=1.0, y=0.5): 3.94,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 4.78,
Point(x=0.0, y=1.0): 0.5,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.71,
Point(x=0.0, y=0.5): 1.44,
Point(x=0.5, y=0.75): 1.62,
Point(x=0.5, y=0.5): 2.77,
Point(x=0.75, y=0.75): 2.27,
Point(x=0.5, y=1.0): 1.02,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.25, y=0.75): 1.27,
Point(x=1.0, y=1.0): 1.3
}
af = axl.AshlockFingerprint(self.strategy, self.probe)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_majority_fingerprint(self):
test_data = {
Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.6,
Point(x=0.0, y=0.5): 1.01,
Point(x=0.0, y=0.75): 1.04,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.12,
Point(x=0.25, y=0.5): 1.81,
Point(x=0.25, y=0.75): 2.06,
Point(x=0.25, y=1.0): 1.86,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 2.4299999999999997,
Point(x=0.5, y=0.5): 2.37,
Point(x=0.5, y=0.75): 2.74,
Point(x=0.5, y=1.0): 2.68,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.4299999999999997,
Point(x=0.75, y=0.5): 1.8399999999999999,
Point(x=0.75, y=0.75): 2.34,
Point(x=0.75, y=1.0): 2.46,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.12,
Point(x=1.0, y=0.5): 1.8599999999999999,
Point(x=1.0, y=0.75): 2.0300000000000002,
Point(x=1.0, y=1.0): 2.26
}
af = axl.AshlockFingerprint(axl.GoByMajority, axl.TitForTat)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False,
seed=0)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_tft_fingerprint(self):
test_data = {
Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.21,
Point(x=0.0, y=0.5): 1.01,
Point(x=0.0, y=0.75): 1.04,
Point(x=0.0, y=1.0): 0.98,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.01,
Point(x=0.25, y=0.5): 2.05,
Point(x=0.25, y=0.75): 1.71,
Point(x=0.25, y=1.0): 1.52,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 2.6500000000000004,
Point(x=0.5, y=0.5): 2.36,
Point(x=0.5, y=0.75): 2.1100000000000003,
Point(x=0.5, y=1.0): 1.8900000000000001,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.57,
Point(x=0.75, y=0.5): 2.51,
Point(x=0.75, y=0.75): 2.13,
Point(x=0.75, y=1.0): 2.12,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 2.68,
Point(x=1.0, y=0.5): 2.51,
Point(x=1.0, y=0.75): 2.41,
Point(x=1.0, y=1.0): 2.18
}
af = axl.AshlockFingerprint(axl.TitForTat(), axl.TitForTat)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False,
seed=0)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
def test_wsls_fingerprint(self):
test_data = {
Point(x=0.0, y=0.0): 3.0,
Point(x=0.0, y=0.25): 1.83,
Point(x=0.0, y=0.5): 1.12,
Point(x=0.0, y=0.75): 1.04,
Point(x=0.0, y=1.0): 0.5,
Point(x=0.25, y=0.0): 3.0,
Point(x=0.25, y=0.25): 2.12,
Point(x=0.25, y=0.5): 2.17,
Point(x=0.25, y=0.75): 1.33,
Point(x=0.25, y=1.0): 0.77,
Point(x=0.5, y=0.0): 3.0,
Point(x=0.5, y=0.25): 2.9299999999999997,
Point(x=0.5, y=0.5): 2.3600000000000003,
Point(x=0.5, y=0.75): 1.74,
Point(x=0.5, y=1.0): 1.05,
Point(x=0.75, y=0.0): 3.0,
Point(x=0.75, y=0.25): 2.52,
Point(x=0.75, y=0.5): 2.79,
Point(x=0.75, y=0.75): 2.41,
Point(x=0.75, y=1.0): 1.2,
Point(x=1.0, y=0.0): 3.0,
Point(x=1.0, y=0.25): 4.86,
Point(x=1.0, y=0.5): 4.36,
Point(x=1.0, y=0.75): 4.05,
Point(x=1.0, y=1.0): 1.3
}
af = axl.AshlockFingerprint(axl.WinStayLoseShift(), axl.TitForTat)
data = af.fingerprint(turns=50,
repetitions=2,
step=0.25,
progress_bar=False,
seed=0)
for key, value in data.items():
self.assertAlmostEqual(value, test_data[key], places=2)
import axelrod as axl
strats = [axl.TitForTat, axl.WinStayLoseShift, axl.AntiTitForTat, axl.Cooperator, axl.Defector, axl.Cycler('CD'), axl.GoByMajority(75)]
for s in strats:
probe = axl.TitForTat
af = axl.AshlockFingerprint(s, probe)
data = af.fingerprint(turns=500, repetitions=200, step=0.01, processes=0)
p = af.plot()
p.savefig('/scratch/c1304586/img/{}-Numerical.pdf'.format(s.name))
