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test_hubo.py
1123 lines (927 loc) · 56.4 KB
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test_hubo.py
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import unittest
import random
import openjij as oj
import cimod
def calculate_bpm_energy(polynomial, variables):
energy = 0.0
for (index, val) in polynomial.items():
temp = 1
for site in index:
temp *= variables[site]
energy += temp*val
return energy
class HUBOTest(unittest.TestCase):
def setUp(self):
self.J_quad = {(0,): 1, (1,): -2, (0, 1): -1, (1, 2): -3, (2, 3): 0.5}
self.spins = {0: 1, 1: -1, 2: 1, 3: 1}
self.Q_quad = {(0,): 1, (1, 2): -1, (2, 0): -0.2, (1, 3): 3}
self.binaries = {0: 0, 1: 1, 2: 1, 3: 0}
def gen_testcase_polynomial(self):
J = {}
J[(0, 1, 2, 3, 4)] = 100
J[( )] = 50
true_energy = -50
return J, true_energy
def test_SASampler_hubo_spin_1(self):
K, true_energy = self.gen_testcase_polynomial()
response = oj.SASampler().sample_hubo(K, vartype="SPIN", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "SPIN")
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "SPIN")
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
def test_SASampler_hubo_spin_2(self):
K = {}
K[0,] = +1
K[0,1] = -1
K[0,2] = +1.5
K[0,3] = -1.6
K[0,4] = -1.7
K[1,3] = +2.3
K[1,4] = -0.3
K[2,3] = +3.4
K[2,4] = +3.7
K[3,4] = -0.8
K[0,1,2] = -0.5
K[1,2,3] = -1.0
K[2,3,4] = +0.9
true_energy = -15.1
response = oj.SASampler().sample_hubo(K, vartype="SPIN", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "SPIN")
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "SPIN")
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
def test_SASampler_hubo_binary_1(self):
K = {}
K[0,] = +1
K[0,1] = -1
K[0,2] = +1.5
K[0,3] = -1.6
K[0,4] = -1.7
K[1,3] = +2.3
K[1,4] = -0.3
K[2,3] = +3.4
K[2,4] = +3.7
K[3,4] = -0.8
K[0,1,2] = -0.5
K[1,2,3] = -1.0
K[2,3,4] = +0.9
true_energy = -3.1
response = oj.SASampler().sample_hubo(K, vartype="BINARY", updater = "single spin flip", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(K, vartype="BINARY", updater = "k-local", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(K, vartype="BINARY", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_oj, updater = "single spin flip", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(bpm_oj, updater = "k-local", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_ci, updater = "single spin flip", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(bpm_ci, updater = "k-local", seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3)
self.assertAlmostEqual(true_energy, response.energies[0])
def test_SASampler_hubo_binary_2(self):
K = {}
K[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29] = -1
true_energy = -1
response = oj.SASampler().sample_hubo(K, vartype="BINARY", seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
def test_SASampler_hubo_binary_3(self):
K = {}
K[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29] = +1
K[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15, 17,18,19,20,21,22,23,24,25,26,27,28,29] = -1
true_energy = -1
response = oj.SASampler().sample_hubo(K, vartype="BINARY", seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
def test_SASampler_hubo_binary_4(self):
K = {}
K[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29] = -1
K[0,1,2,3,4,5,6,7,8, 10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29] = +1
K[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22, 24,25,26,27,28,29] = +1
K[0,1,2,3,4,5,6,7,8, 10,11,12,13,14,15,16,17,18,19,20,21,22, 24,25,26,27,28,29] = -1
true_energy = -1
response = oj.SASampler().sample_hubo(K, vartype="BINARY", seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_oj = oj.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_oj, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
bpm_ci = cimod.BinaryPolynomialModel(K, "BINARY")
response = oj.SASampler().sample_hubo(bpm_ci, seed = 3, updater="k-local")
self.assertAlmostEqual(true_energy, response.energies[0])
def test_hubo_constructor(self):
hubo_spin = oj.BinaryPolynomialModel(self.J_quad, oj.SPIN)
self.assertEqual(hubo_spin.vartype, oj.SPIN)
hubo_binary = oj.BinaryPolynomialModel(self.Q_quad, "BINARY")
self.assertEqual(hubo_binary.vartype, oj.BINARY)
def test_zero_interaction(self):
sampler = oj.SASampler()
response = sampler.sample_hubo({(1,2,3):0.0, (1,2):1}, "SPIN")
#BinaryPolynomialModel
class PolynomialModelTest(unittest.TestCase):
def setUp(self):
self.poly = {(1,):1.0, (3,):3.0, (1,2):12.0, (1,3):13.0, (2,3,4):234.0, (3,5):35.0}
self.spins = {1:+1, 2:-1, 3:+1, 4:-1, 5:+1}
self.binaries = {1: 1, 2: 0, 3: 1, 4: 0, 5: 1}
self.poly_str = {("a",):1.0, ("c",):3.0, ("a","b"):12.0, ("a","c"):13.0, ("b","c","d"):234.0, ("c","e"):35.0}
self.spins_str = {"a":+1, "b":-1, "c":+1, "d":-1, "e":+1}
self.binaries_str = {"a": 1, "b": 0, "c": 1, "d": 0, "e": 1}
self.poly_tuple2 = {((1,1),):1.0, ((3,3),):3.0, ((1,1),(2,2)):12.0, ((1,1),(3,3)):13.0, ((2,2),(3,3),(4,4)):234.0, ((3,3),(5,5)):35.0}
self.spins_tuple2 = {(1,1):+1, (2,2):-1, (3,3):+1, (4,4):-1, (5,5):+1}
self.binaries_tuple2 = {(1,1): 1, (2,2): 0, (3,3): 1, (4,4): 0, (5,5): 1}
self.poly_tuple3 = {((1,1,1),):1.0, ((3,3,3),):3.0, ((1,1,1),(2,2,2)):12.0, ((1,1,1),(3,3,3)):13.0, ((2,2,2),(3,3,3),(4,4,4)):234.0, ((3,3,3),(5,5,5)):35.0}
self.spins_tuple3 = {(1,1,1):+1, (2,2,2):-1, (3,3,3):+1, (4,4,4):-1, (5,5,5):+1}
self.binaries_tuple3 = {(1,1,1): 1, (2,2,2): 0, (3,3,3): 1, (4,4,4): 0, (5,5,5): 1}
self.poly_tuple4 = {((1,1,1,1),):1.0, ((3,3,3,3),):3.0, ((1,1,1,1),(2,2,2,2)):12.0, ((1,1,1,1),(3,3,3,3)):13.0, ((2,2,2,2),(3,3,3,3),(4,4,4,4)):234.0, ((3,3,3,3),(5,5,5,5)):35.0}
self.spins_tuple4 = {(1,1,1,1):+1, (2,2,2,2):-1, (3,3,3,3):+1, (4,4,4,4):-1, (5,5,5,5):+1}
self.binaries_tuple4 = {(1,1,1,1): 1, (2,2,2,2): 0, (3,3,3,3): 1, (4,4,4,4): 0, (5,5,5,5): 1}
def state_test_bpm(self, bpm, poly: dict, vartype):
self.assertEqual(bpm.vartype, vartype) #Check Vartype
self.assertEqual(bpm.num_interactions, len(poly)) #Check the number of the interactions
self.assertEqual(bpm.num_variables, len(set(j for i in poly.keys() for j in i))) #Check the number of the variables
self.assertEqual(bpm.degree, max([len(i) for i in poly.keys()])) #Check the max degree of the interactions
self.assertEqual(bpm.get_variables(), sorted(list(set(j for i in poly.keys() for j in i)))) #Check the variables
self.assertAlmostEqual(bpm.get_offset(), poly[()] if tuple() in poly else 0.0) #Check the offset
for k, v in bpm.get_polynomial().items():#Check the interactions
self.assertAlmostEqual(v, poly[k])
num = 0
for i in sorted(list(set(j for i in poly.keys() for j in i))):
self.assertEqual(bpm.get_variables_to_integers(i), num)
self.assertEqual(bpm.has_variable(i), True)
num += 1
#Check the specific interactions
for index in poly.keys():
self.assertAlmostEqual(bpm.get_polynomial(index) , poly[index])
self.assertAlmostEqual(bpm.get_polynomial(random.sample(index, len(index))), poly[index])
self.assertAlmostEqual(bpm.get_polynomial(list(index)) , poly[index])
self.assertAlmostEqual(bpm.get_polynomial(key = index) , poly[index])
if tuple(index) != ():
self.assertAlmostEqual(bpm.get_polynomial(*index), poly[index])
else:
self.assertAlmostEqual(bpm.get_polynomial(index), poly[index])
def state_test_bpm_empty(self, bpm, vartype):
self.assertEqual(bpm.vartype, vartype)
self.assertEqual(bpm.num_interactions, 0)
self.assertEqual(bpm.num_variables, 0)
self.assertEqual(bpm.degree, 0)
self.assertEqual(bpm.get_polynomial(), {})
self.assertEqual(bpm.get_variables_to_integers(), {})
self.assertEqual(bpm.get_variables(), [])
self.assertAlmostEqual(bpm.get_offset(), 0.0)
# Test BinaryPolynomialModel constructor
def test_construction_bpm(self):
self.state_test_bpm(oj.BinaryPolynomialModel(self.poly , oj.SPIN), self.poly , oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(self.poly_str , oj.SPIN), self.poly_str , oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN), self.poly_tuple2, oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN), self.poly_tuple3, oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN), self.poly_tuple4, oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(list(self.poly.keys()) , list(self.poly.values()) , oj.SPIN), self.poly , oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(list(self.poly_str.keys()) , list(self.poly_str.values()) , oj.SPIN), self.poly_str , oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(list(self.poly_tuple2.keys()), list(self.poly_tuple2.values()), oj.SPIN), self.poly_tuple2, oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(list(self.poly_tuple3.keys()), list(self.poly_tuple3.values()), oj.SPIN), self.poly_tuple3, oj.SPIN)
self.state_test_bpm(oj.BinaryPolynomialModel(list(self.poly_tuple4.keys()), list(self.poly_tuple4.values()), oj.SPIN), self.poly_tuple4, oj.SPIN)
bpm = oj.BinaryPolynomialModel({}, "SPIN")
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel([], [], "SPIN")
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_add_interaction_bpm_basic(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.add_interaction((-12345, -2, 897654321), 0.1234567)
self.poly[tuple(sorted([-12345, -2, 897654321]))] = 0.1234567
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.add_interaction(("åß∂ƒ©", "あいうえお", "ABCD"), -123)
self.poly_str[tuple(sorted(["åß∂ƒ©", "あいうえお", "ABCD"]))] = -123
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.add_interaction(((-11, 11), (22, 22)), -123)
self.poly_tuple2[tuple(sorted([(-11, 11), (22, 22)]))] = -123
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.add_interaction(((-11, 11, -321), (22, 22, -321)), -123)
self.poly_tuple3[tuple(sorted([(-11, 11, -321), (22, 22, -321)]))] = -123
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.add_interaction(((-11, 11, -321, 0), (22, 22, -321, 0)), -123)
self.poly_tuple4[tuple(sorted([(-11, 11, -321, 0), (22, 22, -321, 0)]))] = -123
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_add_interaction_bpm_duplicate_value_1(self):
bpm = oj.BinaryPolynomialModel({k: v/2 for k, v in self.poly.items()}, oj.SPIN)
for k, v in self.poly.items():
bpm.add_interaction(k, v/2)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: v/2 for k, v in self.poly_str.items()}, oj.SPIN)
for k, v in self.poly_str.items():
bpm.add_interaction(k, v/2)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: v/2 for k, v in self.poly_tuple2.items()}, oj.SPIN)
for k, v in self.poly_tuple2.items():
bpm.add_interaction(k, v/2)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: v/2 for k, v in self.poly_tuple3.items()}, oj.SPIN)
for k, v in self.poly_tuple3.items():
bpm.add_interaction(k, v/2)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: v/2 for k, v in self.poly_tuple4.items()}, oj.SPIN)
for k, v in self.poly_tuple4.items():
bpm.add_interaction(k, v/2)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_add_interaction_bpm_duplicate_value_2(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
for k, v in self.poly.items():
bpm.add_interaction(k, -v)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
for k, v in self.poly_str.items():
bpm.add_interaction(k, -v)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
for k, v in self.poly_tuple2.items():
bpm.add_interaction(k, -v)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
for k, v in self.poly_tuple3.items():
bpm.add_interaction(k, -v)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
for k, v in self.poly_tuple4.items():
bpm.add_interaction(k, -v)
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_add_interactions_from_bpm_dict(self):
bpm = oj.BinaryPolynomialModel(self.poly, "SPIN").empty("SPIN")
bpm.add_interactions_from(self.poly)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, "SPIN").empty("SPIN")
bpm.add_interactions_from(self.poly_str)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, "SPIN").empty("SPIN")
bpm.add_interactions_from(self.poly_tuple2)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, "SPIN").empty("SPIN")
bpm.add_interactions_from(self.poly_tuple3)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, "SPIN").empty("SPIN")
bpm.add_interactions_from(self.poly_tuple4)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_add_interactions_from_bpm_keyvalues(self):
bpm = oj.BinaryPolynomialModel(self.poly, "SPIN").empty("SPIN")
bpm.add_interactions_from(list(self.poly.keys()), list(self.poly.values()))
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, "SPIN").empty("SPIN")
bpm.add_interactions_from(list(self.poly_str.keys()), list(self.poly_str.values()))
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, "SPIN").empty("SPIN")
bpm.add_interactions_from(list(self.poly_tuple2.keys()), list(self.poly_tuple2.values()))
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, "SPIN").empty("SPIN")
bpm.add_interactions_from(list(self.poly_tuple3.keys()), list(self.poly_tuple3.values()))
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, "SPIN").empty("SPIN")
bpm.add_interactions_from(list(self.poly_tuple4.keys()), list(self.poly_tuple4.values()))
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_add_offset_bpm(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.add_offset(3.0)
self.assertAlmostEqual(bpm.get_offset(), 3.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 3.0)
bpm.add_interaction((), 3.0)
self.assertAlmostEqual(bpm.get_offset(), 6.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 6.0)
bpm.add_offset(-6.0)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.add_offset(3.0)
self.assertAlmostEqual(bpm.get_offset(), 3.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 3.0)
bpm.add_interaction((), 3.0)
self.assertAlmostEqual(bpm.get_offset(), 6.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 6.0)
bpm.add_offset(-6.0)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.add_offset(3.0)
self.assertAlmostEqual(bpm.get_offset(), 3.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 3.0)
bpm.add_interaction((), 3.0)
self.assertAlmostEqual(bpm.get_offset(), 6.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 6.0)
bpm.add_offset(-6.0)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.add_offset(3.0)
self.assertAlmostEqual(bpm.get_offset(), 3.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 3.0)
bpm.add_interaction((), 3.0)
self.assertAlmostEqual(bpm.get_offset(), 6.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 6.0)
bpm.add_offset(-6.0)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.add_offset(3.0)
self.assertAlmostEqual(bpm.get_offset(), 3.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 3.0)
bpm.add_interaction((), 3.0)
self.assertAlmostEqual(bpm.get_offset(), 6.0)
self.assertAlmostEqual(bpm.get_polynomial(()), 6.0)
bpm.add_offset(-6.0)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_remove_interaction_bpm_basic(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.add_interaction((11, 12, 14), -1.0)
bpm.add_interaction((-7,) , -2.0)
bpm.add_interaction((2, 11) , -3.0)
bpm.add_interaction(() , -4.0)
self.assertAlmostEqual(bpm.get_polynomial(11, 14, 12), -1.0)
self.assertAlmostEqual(bpm.get_polynomial((-7,)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([11, 2]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interaction((11, 12, 14))
bpm.remove_interaction(-7)
bpm.remove_interaction([2, 11])
bpm.remove_interaction([])
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.add_interaction(("œ∑®", "≈ç", "≥≤µ"), -1.0)
bpm.add_interaction(("A",) , -2.0)
bpm.add_interaction(("¡", "∆") , -3.0)
bpm.add_interaction(() , -4.0)
self.assertAlmostEqual(bpm.get_polynomial("œ∑®", "≈ç", "≥≤µ"), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(("A",)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial(["¡", "∆"]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interaction(("œ∑®", "≈ç", "≥≤µ"))
bpm.remove_interaction("A")
bpm.remove_interaction(["¡", "∆"])
bpm.remove_interaction([])
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.add_interaction(((11,11), (12,12), (14,14)), -1.0)
bpm.add_interaction(((-7,-7),) , -2.0)
bpm.add_interaction(((2,2), (11,11)) , -3.0)
bpm.add_interaction(() , -4.0)
self.assertAlmostEqual(bpm.get_polynomial((11,11), (12,12), (14,14)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2), (11,11)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interaction(((11,11), (12,12), (14,14)))
bpm.remove_interaction((-7,-7))
bpm.remove_interaction([(2,2), (11,11)])
bpm.remove_interaction([])
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.add_interaction(((11,11,11), (12,12,12), (14,14,14)), -1.0)
bpm.add_interaction(((-7,-7,-7),) , -2.0)
bpm.add_interaction(((2,2,2), (11,11,11)) , -3.0)
bpm.add_interaction(() , -4.0)
self.assertAlmostEqual(bpm.get_polynomial((11,11,11), (12,12,12), (14,14,14)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7,-7),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2,2), (11,11,11)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interaction(((11,11,11), (12,12,12), (14,14,14)))
bpm.remove_interaction((-7,-7,-7))
bpm.remove_interaction([(2,2,2), (11,11,11)])
bpm.remove_interaction([])
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.add_interaction(((11,11,11,123456789), (12,12,12,123456789), (14,14,14,123456789)), -1.0)
bpm.add_interaction(((-7,-7,-7,123456789),) , -2.0)
bpm.add_interaction(((2,2,2,123456789), (11,11,11,123456789)) , -3.0)
bpm.add_interaction(() , -4.0)
self.assertAlmostEqual(bpm.get_polynomial((14,14,14,123456789), (11,11,11,123456789), (12,12,12,123456789)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7,-7,123456789),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2,2,123456789), (11,11,11,123456789)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interaction(((11,11,11,123456789), (14,14,14,123456789), (12,12,12,123456789)))
bpm.remove_interaction((-7,-7,-7,123456789))
bpm.remove_interaction([(2,2,2,123456789), (11,11,11,123456789)])
bpm.remove_interaction([])
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_remove_interaction_bpm_remove_all(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
for k in self.poly.keys():
bpm.remove_interaction(k)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
for k in self.poly_str.keys():
bpm.remove_interaction(*k)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
for k in self.poly_tuple2.keys():
bpm.remove_interaction(list(k))
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
for k in self.poly_tuple3.keys():
bpm.remove_interaction(k)
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
for k in self.poly_tuple4.keys():
bpm.remove_interaction(*k)
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_remove_interactions_from_bpm_basic(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
added_J = {(11, 12, 14): -1.0, (-7,): -2.0, (2, 11): -3.0, (): -4.0}
bpm.add_interactions_from(added_J)
self.assertAlmostEqual(bpm.get_polynomial(11, 14, 12), -1.0)
self.assertAlmostEqual(bpm.get_polynomial((-7,)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([11, 2]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interactions_from(list(added_J))
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
added_J = {("œ∑®", "≈ç", "≥≤µ"): -1.0, ("A",): -2.0, ("¡", "∆"): -3.0, (): -4.0}
bpm.add_interactions_from(added_J)
self.assertAlmostEqual(bpm.get_polynomial("œ∑®", "≈ç", "≥≤µ"), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(("A",)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial(["¡", "∆"]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interactions_from(list(added_J))
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
added_J = {((11,11), (12,12), (14,14)): -1.0, ((-7,-7),): -2.0, ((2,2), (11,11)): -3.0, (): -4.0}
bpm.add_interactions_from(added_J)
self.assertAlmostEqual(bpm.get_polynomial((11,11), (12,12), (14,14)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2), (11,11)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interactions_from(list(added_J))
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
added_J = {((11,11,11), (12,12,12), (14,14,14)): -1.0, ((-7,-7,-7),): -2.0, ((2,2,2), (11,11,11)): -3.0, (): -4.0}
bpm.add_interactions_from(added_J)
self.assertAlmostEqual(bpm.get_polynomial((11,11,11), (12,12,12), (14,14,14)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7,-7),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2,2), (11,11,11)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interactions_from(list(added_J))
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
added_J = {((11,11,11,123456789), (12,12,12,123456789), (14,14,14,123456789)): -1.0, ((-7,-7,-7,123456789),): -2.0, ((2,2,2,123456789), (11,11,11,123456789)): -3.0, (): -4.0}
bpm.add_interactions_from(added_J)
self.assertAlmostEqual(bpm.get_polynomial((14,14,14,123456789), (11,11,11,123456789), (12,12,12,123456789)), -1.0)
self.assertAlmostEqual(bpm.get_polynomial(((-7,-7,-7,123456789),)) , -2.0)
self.assertAlmostEqual(bpm.get_polynomial([(2,2,2,123456789), (11,11,11,123456789)]) , -3.0)
self.assertAlmostEqual(bpm.get_polynomial([]) , -4.0)
bpm.remove_interactions_from(list(added_J))
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_remove_interactions_from_bpm_remove_all(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.remove_interactions_from(list(self.poly.keys()))
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.remove_interactions_from(tuple(self.poly_str.keys()))
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.remove_interactions_from(*list(self.poly_tuple2.keys()))
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.remove_interactions_from(*tuple(self.poly_tuple3.keys()))
self.state_test_bpm_empty(bpm, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.remove_interactions_from(list(self.poly_tuple4.keys()))
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_remove_offset_bpm(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.add_offset(100)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.remove_offset()
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.add_offset(100)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.remove_offset()
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.add_offset(100)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.remove_offset()
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.add_offset(100)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.remove_offset()
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.add_offset(100)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.remove_offset()
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_energy_bpm(self):
#Spin
self.assertEqual(oj.BinaryPolynomialModel(self.poly , oj.SPIN).energy(self.spins) , calculate_bpm_energy(self.poly , self.spins) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_str , oj.SPIN).energy(self.spins_str) , calculate_bpm_energy(self.poly_str , self.spins_str) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN).energy(self.spins_tuple2), calculate_bpm_energy(self.poly_tuple2, self.spins_tuple2))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN).energy(self.spins_tuple3), calculate_bpm_energy(self.poly_tuple3, self.spins_tuple3))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN).energy(self.spins_tuple4), calculate_bpm_energy(self.poly_tuple4, self.spins_tuple4))
self.assertEqual(oj.BinaryPolynomialModel(self.poly , oj.SPIN).energy(list(self.spins.values())) , calculate_bpm_energy(self.poly , self.spins) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_str , oj.SPIN).energy(list(self.spins_str.values())) , calculate_bpm_energy(self.poly_str , self.spins_str) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN).energy(list(self.spins_tuple2.values())), calculate_bpm_energy(self.poly_tuple2, self.spins_tuple2))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN).energy(list(self.spins_tuple3.values())), calculate_bpm_energy(self.poly_tuple3, self.spins_tuple3))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN).energy(list(self.spins_tuple4.values())), calculate_bpm_energy(self.poly_tuple4, self.spins_tuple4))
#Binary
self.assertEqual(oj.BinaryPolynomialModel(self.poly , oj.BINARY).energy(self.binaries) , calculate_bpm_energy(self.poly , self.binaries) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_str , oj.BINARY).energy(self.binaries_str) , calculate_bpm_energy(self.poly_str , self.binaries_str) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.BINARY).energy(self.binaries_tuple2), calculate_bpm_energy(self.poly_tuple2, self.binaries_tuple2))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.BINARY).energy(self.binaries_tuple3), calculate_bpm_energy(self.poly_tuple3, self.binaries_tuple3))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.BINARY).energy(self.binaries_tuple4), calculate_bpm_energy(self.poly_tuple4, self.binaries_tuple4))
self.assertEqual(oj.BinaryPolynomialModel(self.poly , oj.BINARY).energy(list(self.binaries.values())) , calculate_bpm_energy(self.poly , self.binaries) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_str , oj.BINARY).energy(list(self.binaries_str.values())) , calculate_bpm_energy(self.poly_str , self.binaries_str) )
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.BINARY).energy(list(self.binaries_tuple2.values())), calculate_bpm_energy(self.poly_tuple2, self.binaries_tuple2))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.BINARY).energy(list(self.binaries_tuple3.values())), calculate_bpm_energy(self.poly_tuple3, self.binaries_tuple3))
self.assertEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.BINARY).energy(list(self.binaries_tuple4.values())), calculate_bpm_energy(self.poly_tuple4, self.binaries_tuple4))
def test_energies_bpm(self):
#Spin
spins_list = [self.spins, self.spins, self.spins, self.spins]
anser_list = [calculate_bpm_energy(self.poly, self.spins) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly, oj.SPIN).energies(spins_list), anser_list)
spins_list = [self.spins_str, self.spins_str, self.spins_str, self.spins_str]
anser_list = [calculate_bpm_energy(self.poly_str, self.spins_str) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_str, oj.SPIN).energies(spins_list), anser_list)
spins_list = [self.spins_tuple2, self.spins_tuple2, self.spins_tuple2, self.spins_tuple2]
anser_list = [calculate_bpm_energy(self.poly_tuple2, self.spins_tuple2) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN).energies(spins_list), anser_list)
spins_list = [self.spins_tuple3, self.spins_tuple3, self.spins_tuple3, self.spins_tuple3]
anser_list = [calculate_bpm_energy(self.poly_tuple3, self.spins_tuple3) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN).energies(spins_list), anser_list)
spins_list = [self.spins_tuple4, self.spins_tuple4, self.spins_tuple4, self.spins_tuple4]
anser_list = [calculate_bpm_energy(self.poly_tuple4, self.spins_tuple4) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN).energies(spins_list), anser_list)
#Binary
binaries_list = [self.binaries, self.binaries, self.binaries, self.binaries]
anser_list = [calculate_bpm_energy(self.poly, self.binaries) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly, oj.BINARY).energies(binaries_list), anser_list)
binaries_list = [self.binaries_str, self.binaries_str, self.binaries_str, self.binaries_str]
anser_list = [calculate_bpm_energy(self.poly_str, self.binaries_str) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_str, oj.BINARY).energies(binaries_list), anser_list)
binaries_list = [self.binaries_tuple2, self.binaries_tuple2, self.binaries_tuple2, self.binaries_tuple2]
anser_list = [calculate_bpm_energy(self.poly_tuple2, self.binaries_tuple2) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple2, oj.BINARY).energies(binaries_list), anser_list)
binaries_list = [self.binaries_tuple3, self.binaries_tuple3, self.binaries_tuple3, self.binaries_tuple3]
anser_list = [calculate_bpm_energy(self.poly_tuple3, self.binaries_tuple3) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple3, oj.BINARY).energies(binaries_list), anser_list)
binaries_list = [self.binaries_tuple4, self.binaries_tuple4, self.binaries_tuple4, self.binaries_tuple4]
anser_list = [calculate_bpm_energy(self.poly_tuple4, self.binaries_tuple4) for _ in range(4)]
self.assertListEqual(oj.BinaryPolynomialModel(self.poly_tuple4, oj.BINARY).energies(binaries_list), anser_list)
def test_scale_bpm_all_scaled(self):
d = {}
for k, v in self.poly.items():
d[k] = 2*v
bpm = oj.BinaryPolynomialModel(d, oj.SPIN)
bpm.scale(0.5)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
d = {}
for k, v in self.poly_str.items():
d[k] = 2*v
bpm = oj.BinaryPolynomialModel(d, oj.SPIN)
bpm.scale(0.5)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
d = {}
for k, v in self.poly_tuple2.items():
d[k] = 2*v
bpm = oj.BinaryPolynomialModel(d, oj.SPIN)
bpm.scale(0.5)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
d = {}
for k, v in self.poly_tuple3.items():
d[k] = 2*v
bpm = oj.BinaryPolynomialModel(d, oj.SPIN)
bpm.scale(0.5)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
d = {}
for k, v in self.poly_tuple4.items():
d[k] = 2*v
bpm = oj.BinaryPolynomialModel(d, oj.SPIN)
bpm.scale(0.5)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_scale_bpm_ignored_interaction(self):
bpm = oj.BinaryPolynomialModel({k: 2*v for k, v in self.poly.items()}, oj.SPIN)
bpm.scale(0.5, ((1, 2), [2, 3, 4]))
self.assertAlmostEqual(bpm.get_polynomial(1, 2) , 12.0*2 )
self.assertAlmostEqual(bpm.get_polynomial(2, 3, 4), 234.0*2)
bpm.add_interaction((1, 2) , -12 )
bpm.add_interaction([2, 3, 4], -234)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: 2*v for k, v in self.poly_str.items()}, oj.SPIN)
bpm.scale(0.5, (("a", "b"), ["b", "c", "d"]))
self.assertAlmostEqual(bpm.get_polynomial("a", "b") , 12.0*2 )
self.assertAlmostEqual(bpm.get_polynomial("b", "c", "d"), 234.0*2)
bpm.add_interaction(("a", "b") , -12)
bpm.add_interaction(["b", "c", "d"], -234)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: 2*v for k, v in self.poly_tuple2.items()}, oj.SPIN)
bpm.scale(0.5, (((1, 1), (2, 2)), [(2, 2), (3, 3), (4, 4)]))
self.assertAlmostEqual(bpm.get_polynomial((2, 2), (1, 1)) , 12.0*2 )
self.assertAlmostEqual(bpm.get_polynomial((4, 4), (3, 3), (2, 2)), 234.0*2)
bpm.add_interaction([(2, 2), (1, 1)] , -12 )
bpm.add_interaction([(4, 4), (3, 3), (2, 2)], -234)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: 2*v for k, v in self.poly_tuple3.items()}, oj.SPIN)
bpm.scale(0.5, (((1, 1, 1), (2, 2, 2)), [(2, 2, 2), (3, 3, 3), (4, 4, 4)]))
self.assertAlmostEqual(bpm.get_polynomial((2, 2, 2), (1, 1, 1)) , 12.0*2 )
self.assertAlmostEqual(bpm.get_polynomial((4, 4, 4), (3, 3, 3), (2, 2, 2)), 234.0*2)
bpm.add_interaction([(2, 2, 2), (1, 1, 1)] , -12 )
bpm.add_interaction([(4, 4, 4), (3, 3, 3), (2, 2, 2)], -234)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel({k: 2*v for k, v in self.poly_tuple4.items()}, oj.SPIN)
bpm.scale(0.5, (((1, 1, 1, 1), (2, 2, 2, 2)), [(2, 2, 2, 2), (3, 3, 3, 3), (4, 4, 4, 4)]))
self.assertAlmostEqual(bpm.get_polynomial((2, 2, 2, 2), (1, 1, 1, 1)) , 12.0*2 )
self.assertAlmostEqual(bpm.get_polynomial((4, 4, 4, 4), (3, 3, 3, 3), (2, 2, 2, 2)), 234.0*2)
bpm.add_interaction([(2, 2, 2, 2), (1, 1, 1, 1)] , -12 )
bpm.add_interaction([(4, 4, 4, 4), (3, 3, 3, 3), (2, 2, 2, 2)], -234)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_scale_bpm_ignored_offset(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.add_offset(100)
bpm.scale(0.5, ((),))
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, ignored_offset = True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, [()], True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.add_offset(100)
bpm.scale(0.5, ((),))
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, ignored_offset = True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, [()], True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.add_offset(100)
bpm.scale(0.5, ((),))
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, ignored_offset = True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, [()], True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.add_offset(100)
bpm.scale(0.5, ((),))
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, ignored_offset = True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, [()], True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.add_offset(100)
bpm.scale(0.5, ((),))
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, ignored_offset = True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
bpm.scale(0.5, [()], True)
self.assertAlmostEqual(bpm.get_polynomial(()), 100)
def test_normalize_bpm_all_normalize(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.normalize((-1, +1))
bpm.scale(234.0)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.normalize((-1, +1))
bpm.scale(234.0)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.normalize((-1, +1))
bpm.scale(234.0)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.normalize((-1, +1))
bpm.scale(234.0)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.normalize((-1, +1))
bpm.scale(234.0)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_normalize_bpm_ignored_interaction(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.normalize((-1, 1), list(self.poly))
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.normalize((-1, 1), list(self.poly_str))
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.normalize((-1, 1), list(self.poly_tuple2))
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.normalize((-1, 1), list(self.poly_tuple3))
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.normalize((-1, 1), list(self.poly_tuple4))
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
def test_serializable_bpm(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm(bpm_from, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm(bpm_from, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm(bpm_from, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm(bpm_from, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm(bpm_from, self.poly_tuple4, oj.SPIN)
def test_serializable_bpm_empty(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.clear()
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm_empty(bpm_from, oj.SPIN)
self.assertEqual(bpm_from.index_type, bpm.index_type)
bpm = oj.BinaryPolynomialModel(self.poly_str, oj.SPIN)
bpm.clear()
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm_empty(bpm_from, oj.SPIN)
self.assertEqual(bpm_from.index_type, bpm.index_type)
bpm = oj.BinaryPolynomialModel(self.poly_tuple2, oj.SPIN)
bpm.clear()
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm_empty(bpm_from, oj.SPIN)
self.assertEqual(bpm_from.index_type, bpm.index_type)
bpm = oj.BinaryPolynomialModel(self.poly_tuple3, oj.SPIN)
bpm.clear()
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm_empty(bpm_from, oj.SPIN)
self.assertEqual(bpm_from.index_type, bpm.index_type)
bpm = oj.BinaryPolynomialModel(self.poly_tuple4, oj.SPIN)
bpm.clear()
bpm_from = oj.BinaryPolynomialModel.from_serializable(bpm.to_serializable())
self.state_test_bpm_empty(bpm_from, oj.SPIN)
self.assertEqual(bpm_from.index_type, bpm.index_type)
def test_from_hubo_bpm_from_dict(self):
bpm = oj.BinaryPolynomialModel.from_hubo(self.poly)
self.state_test_bpm(bpm, self.poly, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(self.poly_str)
self.state_test_bpm(bpm, self.poly_str, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(self.poly_tuple2)
self.state_test_bpm(bpm, self.poly_tuple2, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(self.poly_tuple3)
self.state_test_bpm(bpm, self.poly_tuple3, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(self.poly_tuple4)
self.state_test_bpm(bpm, self.poly_tuple4, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo({})
self.state_test_bpm_empty(bpm, oj.BINARY)
def test_from_hubo_bpm_from_key_value(self):
bpm = oj.BinaryPolynomialModel.from_hubo(list(self.poly.keys()), list(self.poly.values()))
self.state_test_bpm(bpm, self.poly, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(list(self.poly_str.keys()), list(self.poly_str.values()))
self.state_test_bpm(bpm, self.poly_str, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(list(self.poly_tuple2.keys()), list(self.poly_tuple2.values()))
self.state_test_bpm(bpm, self.poly_tuple2, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(list(self.poly_tuple3.keys()), list(self.poly_tuple3.values()))
self.state_test_bpm(bpm, self.poly_tuple3, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo(list(self.poly_tuple4.keys()), list(self.poly_tuple4.values()))
self.state_test_bpm(bpm, self.poly_tuple4, oj.BINARY)
bpm = oj.BinaryPolynomialModel.from_hubo([], [])
self.state_test_bpm_empty(bpm, oj.BINARY)
def test_from_hising_bpm_from_dict(self):
bpm = oj.BinaryPolynomialModel.from_hising(self.poly)
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(self.poly_str)
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(self.poly_tuple2)
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(self.poly_tuple3)
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(self.poly_tuple4)
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising({})
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_from_hising_bpm_from_key_value(self):
bpm = oj.BinaryPolynomialModel.from_hising(list(self.poly.keys()), list(self.poly.values()))
self.state_test_bpm(bpm, self.poly, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(list(self.poly_str.keys()), list(self.poly_str.values()))
self.state_test_bpm(bpm, self.poly_str, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(list(self.poly_tuple2.keys()), list(self.poly_tuple2.values()))
self.state_test_bpm(bpm, self.poly_tuple2, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(list(self.poly_tuple3.keys()), list(self.poly_tuple3.values()))
self.state_test_bpm(bpm, self.poly_tuple3, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising(list(self.poly_tuple4.keys()), list(self.poly_tuple4.values()))
self.state_test_bpm(bpm, self.poly_tuple4, oj.SPIN)
bpm = oj.BinaryPolynomialModel.from_hising([], [])
self.state_test_bpm_empty(bpm, oj.SPIN)
def test_clear_bpm(self):
bpm = oj.BinaryPolynomialModel(self.poly, oj.SPIN)
bpm.clear()
self.state_test_bpm_empty(bpm, oj.SPIN)