def test_action(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
poly.compute_path()
self.assertEqual(poly.action_range(1, size)+poly.environment[0][size], poly.max_action)
def test_endpoint(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
self.assertTrue(abs(path[-1] - end) <= 1)
def test_endpoint(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
self.assertTrue(abs(path[-1] - end) <= 1)
def test_tau(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
tau = poly.compute_tau()
self.assertTrue(abs(end) > abs(path[tau-1]))
def test_tau(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
tau = poly.compute_tau()
self.assertTrue(abs(end) > abs(path[tau - 1]))
def test_action(self):
size = 1000
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
poly.compute_path()
self.assertEqual(
poly.action_range(1, size) + poly.environment[0][size],
poly.max_action)
def test_pinned_path(n):
poly = Polymer(n)
poly.make_environment()
poly.compute_actions()
for i in range(n+1):
j = random.randint(-i,i)
try:
poly.pinned_path(j, i)
except IndexError:
print "failure at ", j, i
def test_end_discrepancy(self):
size = 1000
exponent = 0.5
constant = 10
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
self.assertTrue(poly.discrepancy(end) < constant*pow(abs(float(end)), -exponent) )
def test_pinned_path(n):
poly = Polymer(n)
poly.make_environment()
poly.compute_actions()
for i in range(n + 1):
j = random.randint(-i, i)
try:
poly.pinned_path(j, i)
except IndexError:
print "failure at ", j, i
def test_typical_omega(self):
size = 1000
trials = 100
threshold = .9
count_typical = 0
for i in range(trials):
poly = Polymer(size)
poly.make_environment()
count_typical += spacevar_typical(poly)
# print count_typical
self.assertTrue(count_typical > threshold*trials)
def test_typical_omega(self):
size = 1000
trials = 100
threshold = .9
count_typical = 0
for i in range(trials):
poly = Polymer(size)
poly.make_environment()
count_typical += spacevar_typical(poly)
# print count_typical
self.assertTrue(count_typical > threshold * trials)
def test_end_discrepancy(self):
size = 1000
exponent = 0.5
constant = 10
poly = Polymer(size)
poly.make_environment()
poly.compute_actions()
path = poly.compute_path()
end = poly.compute_endpoint()
self.assertTrue(
poly.discrepancy(end) < constant * pow(abs(float(end)), -exponent))
def test__path(n):
poly = Polymer(n)
poly.make_environment()
poly.compute_actions()
poly.compute_path()
poly.compute_record_discrepancies()
poly.records
for i in range(n+1):
try:
poly.compute_path(i)
except IndexError:
print "failure at ", i
def test__path(n):
poly = Polymer(n)
poly.make_environment()
poly.compute_actions()
poly.compute_path()
poly.compute_record_discrepancies()
poly.records
for i in range(n + 1):
try:
poly.compute_path(i)
except IndexError:
print "failure at ", i