sync

create_wmis_result_table.sql

@@ -1,4 +1,4 @@
-create table c42_vLogistic_6_wmis_siman_results (
+create table c42_vLogistic_6_wmis_qpu_results (
 	result_id					char(24),
     run							int,
     instance_id					char(24),
@@ -7,6 +7,7 @@ create table c42_vLogistic_6_wmis_siman_results (
     num_occurrences				int,
     energy						float,
     satisfiable					boolean,
+    anneal_time					int,
     
     primary key (result_id)
 );

run_sampler_on_scope.py

@@ -13,13 +13,22 @@ from dwave.system.samplers import DWaveSampler
 
 from tqdm import tqdm
 
+__QUBO__ = 1
+__ISING__ = 2
+
 def main():
     mode = __get_mode()
     
+    ising_qubo_collection = input("ising/qubo collection: ")
+    
+    model_type = __get_model_type()
+    
+    result_collection = input("result collection: ")
+    
     if mode == "SIMAN":
-        __run_siman()
+        __run_siman(ising_qubo_collection, model_type, result_collection)
     elif mode == "QPU":
-        __run_qpu()
+        __run_qpu(ising_qubo_collection, model_type, result_collection)
     
 def __get_mode():
     print("choose mode:")
@@ -32,31 +41,54 @@ def __get_mode():
     elif mode == 2:
         return "QPU"
     
-def __run_siman():
+def __get_model_type():
+    print("model types:")
+    print("(q) qubo")
+    print("(i) ising")
+    model_type = input("choose: ")
+    
+    if model_type == "q":
+        return __QUBO__
+    if model_type == "i":
+        return __ISING__
+    
+def __run_siman(ising_qubo_collection, model_type, result_collection):
     db = script.connect_to_instance_pool()
     target_graph =  dnx.chimera_graph(16, 16, 4)
+    target_graph_id = queries.get_id_of_solver_graph(db["solver_graphs"],
+                                                     nx.node_link_data(target_graph))
     
-    solver_input_query = __get_solver_input_query(db, target_graph)
+    solver_input_query = __get_solver_input_query(db,
+                                                  target_graph_id,
+                                                  ising_qubo_collection)
     
     base_sampler = SimulatedAnnealingSampler()
     chimera_sampler = dimod.StructureComposite(base_sampler,
                                                target_graph.nodes(),
                                                target_graph.edges())
     
-    __run_on_scope(solver_input_query, db["wmis_siman_results"], base_sampler)
+    __run_on_scope(solver_input_query, db[result_collection], chimera_sampler, model_type)
 
 
-def __run_qpu():
+def __run_qpu(ising_qubo_collection, model_type, result_collection):
     db = script.connect_to_instance_pool()
         
     base_solver = DWaveSampler()
+    solver_graph_id = __get_solver_graph_id(db, base_solver.solver)
     
-    solver_input_query = __get_solver_input_query(db, solver_graph)
+    solver_input_query = __get_solver_input_query(db,
+                                                  solver_graph_id,
+                                                  ising_qubo_collection)
 
     solver_args = {}
     solver_args["annealing_time"] = int(input("annealing time (in us): "))
+    solver_args["num_reads"] = int(input("number of reads per sample: "))
     
-    __run_on_scope(solver_input_query, db["wmis_qpu_results"], base_solver, solver_args)
+    __run_on_scope(solver_input_query,
+                   db[result_collection],
+                   base_solver,
+                   model_type,
+                   solver_args)
     
         
 
@@ -65,15 +97,20 @@ def __get_solver_graph_id(db, solver):
     return queries.get_id_of_solver_graph(db["solver_graphs"],
                                           nx.node_link_data(solver_graph))
 
-def __get_solver_input_query(db, solver):
+def __get_solver_input_query(db, solver_graph_id, ising_qubo_collection):
-    solver_graph_id = __get_solver_graph_id(db, solver)
-    
     scope = input("scope: ")
     
-    solver_input_query = queries.WMIS_solver_input_scope_query(db)
+    solver_input_query = queries.WMIS_solver_input_scope_query(db, ising_qubo_collection)
     solver_input_query.query(scope, solver_graph_id)
     
-def __run_on_scope(solver_input_query, result_collection, base_solver, solver_args={}):
+    return solver_input_query
+    
+def __run_on_scope(solver_input_query,
+                   result_collection,
+                   base_solver,
+                   model_type,
+                   solver_args={}):
+    
     run = int(input("save as run (numbered): "))
     
     for solver_input in tqdm(solver_input_query):
@@ -83,13 +120,18 @@ def __run_on_scope(solver_input_query, result_collection, base_solver, solver_ar
         
         solver = FixedEmbeddingComposite(base_solver, embedding)
         
-        res = solver.sample_qubo(qubo, **solver_args)
+        if model_type == __QUBO__:
+            res = solver.sample_qubo(qubo, **solver_args)
+        elif model_type == __ISING__:
+            h, J = graph.split_ising(qubo)
             
-        script.save_result(result_collection,
+            res = solver.sample_ising(h, J, **solver_args)
-                           res,
+        
-                           solver_input,
+        script.save_sample_set(result_collection,
-                           emb_list_index = 0,
+                               res,
-                           run = run)
+                               solver_input,
+                               emb_list_index = 0,
+                               run = run)
     
     
     

testSAT2QUBO.py

@@ -2,11 +2,14 @@
 
 from util import SAT2QUBO as s2q
 from util import randomSAT as rs
+from util import queries
+from util import graph
 
 import networkx as nx
 import dwave_networkx as dnx
 import minorminer
 from dwave_qbsolv import QBSolv
+import dimod
 
 import matplotlib.pyplot as plt
 import seaborn as sns
@@ -51,7 +54,7 @@ def test_kv_range():
             
             ksatInstance = rs.generateRandomKSAT(k, v, 3)
             
-            p_qubo = s2q.primitiveQUBO(ksatInstance)
+            p_qubo = s2q.primitiveQUBO_5(ksatInstance)
 
             wmis_qubo = s2q.WMISdictQUBO(ksatInstance)
             
@@ -233,16 +236,20 @@ def medianChainLength(emb):
     for chain in emb.values():
         chl.append(len(chain))
         
-    return np.median(chl)
+    sns.distplot(chl)
+    plt.show()
+    
+    return np.mean(chl)
     
     
 def test2():
-    sat = rs.generateRandomKSAT(15, 4, 3)
+    sat = rs.generateRandomKSAT(42, 10, 3)
     
     print(sat.toString())
     
     qubo = s2q.WMISdictQUBO(sat)
-    ising = s2q.primitiveQUBO(sat)
+    #ising = s2q.primitiveQUBO_8(sat)
+    ising = s2q.WMISdictQUBO_2(sat)
     
     qg = nx.Graph()
     
@@ -261,7 +268,7 @@ def test2():
     print(qg.number_of_nodes(), qg.number_of_edges())
     print(ig.number_of_nodes(), ig.number_of_edges())
     
-    target = dnx.chimera_graph(9, 9, 4)
+    target = dnx.chimera_graph(16, 16, 4)
     #nx.draw_shell(qg, with_labels=True, node_size=50)
     #nx.draw_shell(ig, with_labels=True, node_size=50)
     
@@ -270,16 +277,20 @@ def test2():
     emb = minorminer.find_embedding(eg.edges(), target.edges(), return_overlap=True,
                                     threads=8)
     
-    print("median chain length = {}".format(medianChainLength(emb[0])))
-    
     print(emb[1])
     
+    for node, chain in emb[0].items():
+        print(node, chain)
+    
+    print("avrg chain length = {}".format(medianChainLength(emb[0])))
+    
     dnx.draw_chimera_embedding(G=target, emb=emb[0], embedded_graph=eg, show_labels=True)
     
     plt.show()
     
+    
 def test3():
-    sat = rs.generateRandomKSAT(15, 4, 3)
+    sat = rs.generateRandomKSAT(42, 10, 3)
     
     print(sat.toString())
     
@@ -296,6 +307,7 @@ def test3():
     
     res = QBSolv().sample_ising(h, J, find_max=False)
     
+    
     sample = list(res.samples())[0]
     
     extracted = {}
@@ -342,6 +354,93 @@ def test3():
     
     print(model, sat.checkAssignment(model))
 
+def test3_3():
+    sat = rs.generateRandomKSAT(42, 10, 3)
+    
+    print(sat.toString())
+    
+    #ising = s2q.primitiveQUBO_8(sat)
+    ising = s2q.WMISdictQUBO_2(sat)
+    
+    #ising = {}
+    
+    #ising[("x1", "z1")] = +2
+    #ising[("x2", "z2")] = +2
+    
+    #ising[("z1", "z2")] = +2
+    
+    #ising[("z1", "z1")] = -2
+    #ising[("z2", "z2")] = -2
+    
+    #ising[("x1", "z3")] = -2
+    #ising[("x2", "z3")] = -2
+    #ising[("x3", "z3")] = +2
+    #ising[("z3", "z3")] = +2    
+
+    
+    h, J = graph.split_ising(ising)
+    
+    #res = QBSolv().sample_ising(h, J, find_max=False)
+    res = QBSolv().sample_qubo(ising, find_max=False)
+    
+    #res = dimod.ExactSolver().sample_ising(h, J)
+    #res = dimod.ExactSolver().sample_qubo(ising)
+    
+    sample = res.first.sample
+    
+    print(res.truncate(50))
+    #print(res.truncate(10))
+    
+    assignments = {}
+    vars = set()
+    
+    for node, energy in sample.items():
+        if node[0] == "x":
+            lit = int(node[1:])
+            
+            vars.add(abs(lit))
+            
+            assignments[lit] = energy
+            
+    conflicts = set()
+    for var in vars:
+        if var in assignments and -var in assignments:
+            if assignments[var] == assignments[-var]:
+                print("conflict at var: {}".format(var))
+                conflicts.add(var)
+                
+    #if conflicts:
+    #    return 
+    
+    model = [True for i in range(len(vars))]
+    
+    for var in vars:
+        if var in assignments:
+            model[var - 1] = True if assignments[var] == 1 else False
+        elif -var in assignments:
+            model[var - 1] = True if assignments[-var] == 0 else False
+    
+    print()
+    
+    print(model)
+    
+    print()
+    
+    print(sat.checkAssignment(model))
+    
+    print()
+    
+    degrees = sat.getDegreesOfVariables()
+    
+    for var in conflicts:
+        node_var = "x{}".format(var)
+        node_nvar = "x{}".format(-var)
+        print("var {}: deg={}, coupler={}, e={}, ne={}"
+              .format(var,
+                      degrees[var],
+                      ising[(node_var, node_nvar)],
+                      assignments[var],
+                      assignments[-var]))
     
 def test4():
     sat = rs.generateRandomKSAT(50, 13, 3)
@@ -400,4 +499,6 @@ def test4():
     print("used nodes (embedding) = {}".format(len(used_nodes)))
     
 
-test_k_range()
+#test3_3()
+test2()
+#test_kv_range()

test_data_extraction.py

@@ -3,15 +3,20 @@
 import util.script as script
 import util.queries as queries
 import dimod
+import random 
 
 from tqdm import tqdm
 
 def main():
     #instance_parameters()
     #wmis_results()
-    #wmis_siman_results_alpha_num_of_assignments()
+    wmis_siman_results_alpha_num_of_assignments()
-    #wmis_siman_results()
+    #wmis_qpu_results_alpha_num_of_assignments()
-    minisat_runs()
+    #primitive_2_siman_results_alpha_num_of_assignments()
+    #primitive_5_siman_results_alpha_num_of_assignments()
+    #primitive_5_qpu_results_alpha_num_of_assignments()
+    #primitive_8_siman_results_alpha_num_of_assignments()
+    #minisat_runs()
 
 def instance_parameters():
     edb = script.connect_to_experimetns_db()
@@ -60,9 +65,9 @@ def wmis_siman_results_alpha_num_of_assignments():
     idb = script.connect_to_instance_pool()
     
     q = queries.WMIS_result_scope_query_raw(idb)
-    q.query("c42_vLogistic_6", "wmis_siman_results")
+    q.query("c42_vLogistic_6", "wmis_qubos_2_siman")
     
-    insert_row = ("INSERT INTO c42_vLogistic_6_wmis_siman_results "
+    insert_row = ("INSERT INTO c42_vLogistic_6_wmis_1_2_siman_results "
                   "(result_id, "
                   " run, "
                   " instance_id, "
@@ -71,7 +76,7 @@ def wmis_siman_results_alpha_num_of_assignments():
                   " num_occurrences, "
                   " energy, "
                   " satisfiable) "
-                  "VALUES (%s, %s, %s, %s, %s, %s, %s, %s) ")
+                  "VALUES (%s, %s, %s, %s,wa %s, %s, %s, %s) ")
     
     for result in tqdm(q):
         sample_set = queries.read_raw_wmis_sample_set(result["data"])
@@ -97,6 +102,302 @@ def wmis_siman_results_alpha_num_of_assignments():
     edb_cursor.close()
     edb.close()
     
+def primitive_2_siman_results_alpha_num_of_assignments():
+    edb = script.connect_to_experimetns_db()
+    edb_cursor = edb.cursor()
+    
+    idb = script.connect_to_instance_pool()
+    
+    q = queries.WMIS_result_scope_query_raw(idb)
+    q.query("c42_vLogistic_6", "primitive_isings_2_siman_results")
+    
+    insert_row = ("INSERT INTO c42_vLogistic_6_primitive_2_siman_results "
+                  "(result_id, "
+                  " run, "
+                  " instance_id, "
+                  " chain_break_fraction, "
+                  " num_occurrences, "
+                  " energy, "
+                  " satisfiable) "
+                  "VALUES (%s, %s, %s, %s, %s, %s, %s) ")
+    
+        
+    for result in tqdm(q):
+        sample_set = queries.read_raw_primitive_ising_sample_set(result["data"])
+        
+        data = script.analyze_wmis_sample(sample_set.first)
+        
+        sat = queries.get_instance_by_id(idb["instances"], result["instance"])
+        
+        model = queries.extract_primitive_ising_model(sample_set.first.sample)
+        
+        isSatisfiable = sat.checkAssignment(model)
+        
+        edb_cursor.execute(insert_row, (str(result["_id"]),
+                                        int(result["run"]),
+                                        str(result["instance"]),
+                                        float(data["chain_break_fraction"]),
+                                        int(data["num_occurrences"]),
+                                        int(data["energy"]),
+                                        isSatisfiable))
+        
+    edb.commit()
+    edb_cursor.close()
+    edb.close()
+    
+    
+def primitive_5_siman_results_alpha_num_of_assignments():
+    edb = script.connect_to_experimetns_db()
+    edb_cursor = edb.cursor()
+    
+    idb = script.connect_to_instance_pool()
+    
+    q = queries.WMIS_result_scope_query_raw(idb)
+    q.query("c42_vLogistic_6", "primitive_isigns_5_siman")
+    
+    insert_row = ("INSERT INTO c42_vLogistic_6_primitive_5_siman_results "
+                  "(result_id, "
+                  " run, "
+                  " instance_id, "
+                  " chain_break_fraction, "
+                  " num_occurrences, "
+                  " energy, "
+                  " satisfiable, "
+                  " num_conflicts, "
+                  " monte_carlo_steps) "
+                  "VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) ")
+    
+        
+    for result in tqdm(q):
+        sample_set = queries.read_raw_primitive_ising_sample_set(result["data"])
+        
+        data = script.analyze_wmis_sample(sample_set.first)
+        
+        sat = queries.get_instance_by_id(idb["instances"], result["instance"])
+        
+        post_process_results = __post_process_prim_5_sample(sat, sample_set.first.sample)
+        
+        #print(post_process_results)
+        
+        edb_cursor.execute(insert_row, (str(result["_id"]),
+                                        int(result["run"]),
+                                        str(result["instance"]),
+                                        float(data["chain_break_fraction"]),
+                                        int(data["num_occurrences"]),
+                                        int(data["energy"]),
+                                        bool(post_process_results["satisfiable"]),
+                                        int(len(post_process_results["conflicts"])),
+                                        int(post_process_results["monte_carlo_steps"])))
+        
+    edb.commit()
+    edb_cursor.close()
+    edb.close()
+    
+def primitive_5_qpu_results_alpha_num_of_assignments():
+    edb = script.connect_to_experimetns_db()
+    edb_cursor = edb.cursor()
+    
+    idb = script.connect_to_instance_pool()
+    
+    q = queries.WMIS_result_scope_query_raw(idb)
+    q.query("c42_vLogistic_6", "primitive_isings_5_qpu")
+    
+    insert_row = ("INSERT INTO c42_vLogistic_6_primitive_5_qpu_results "
+                  "(result_id, "
+                  " run, "
+                  " instance_id, "
+                  " chain_break_fraction, "
+                  " num_occurrences, "
+                  " energy, "
+                  " satisfiable, "
+                  " num_conflicts, "
+                  " monte_carlo_steps, "
+                  " anneal_time) "
+                  "VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) ")
+    
+        
+    run = int(input("run: "))
+    
+    for result in tqdm(q):
+        if True:
+        #if result["run"] == run:
+            sample_set = queries.read_raw_primitive_ising_sample_set(result["data"])
+            
+            data = script.analyze_wmis_sample(sample_set.first)
+            
+            sat = queries.get_instance_by_id(idb["instances"], result["instance"])
+            
+            post_process_results = __post_process_prim_5_sample(sat,
+                                                                sample_set.first.sample)
+            
+            anneal_time = result["data"]["info"]["timing"]["qpu_anneal_time_per_sample"]
+            #print(post_process_results)
+            
+            edb_cursor.execute(insert_row, (str(result["_id"]),
+                                            int(result["run"]),
+                                            str(result["instance"]),
+                                            float(data["chain_break_fraction"]),
+                                            int(data["num_occurrences"]),
+                                            int(data["energy"]),
+                                            bool(post_process_results["satisfiable"]),
+                                            int(len(post_process_results["conflicts"])),
+                                            int(post_process_results["monte_carlo_steps"]),
+                                            int(anneal_time)))
+        
+    edb.commit()
+    edb_cursor.close()
+    edb.close()
+    
+def primitive_8_siman_results_alpha_num_of_assignments():
+    edb = script.connect_to_experimetns_db()
+    edb_cursor = edb.cursor()
+    
+    idb = script.connect_to_instance_pool()
+    
+    q = queries.WMIS_result_scope_query_raw(idb)
+    q.query("c42_vLogistic_6", "wmis_2_qubos_siman")
+    
+    insert_row = ("INSERT INTO c42_vLogistic_6_wmis_2_2_siman_results "
+                  "(result_id, "
+                  " run, "
+                  " instance_id, "
+                  " chain_break_fraction, "
+                  " num_occurrences, "
+                  " energy, "
+                  " satisfiable) "
+                  "VALUES (%s,  %s, %s, %s, %s, %s, %s) ")
+    
+        
+    run = int(input("run: "))
+    
+    for result in tqdm(q):
+        if result["run"] == run:
+            sample_set = queries.read_raw_primitive_ising_sample_set(result["data"])
+            
+            data = script.analyze_wmis_sample(sample_set.first)
+            
+            sat = queries.get_instance_by_id(idb["instances"], result["instance"])
+            
+            post_process_results = __post_process_prim_5_sample(sat,
+                                                                sample_set.first.sample)
+            
+            #print(post_process_results)
+            
+            edb_cursor.execute(insert_row, (str(result["_id"]),
+                                            int(result["run"]),
+                                            str(result["instance"]),
+                                            float(data["chain_break_fraction"]),
+                                            int(data["num_occurrences"]),
+                                            int(data["energy"]),
+                                            bool(post_process_results["satisfiable"])))
+        
+    edb.commit()
+    edb_cursor.close()
+    edb.close()
+
+def __post_process_prim_5_sample(sat, sample):
+    post_process_results = {}
+    
+    assignments = {}
+    vars = set()
+    
+    for node, energy in sample.items():
+        if node[0] == "x":
+            lit = int(node[1:])
+            
+            vars.add(abs(lit))
+            
+            assignments[lit] = energy
+    
+    conflicts = set()
+    for var in vars:
+        if var in assignments and -var in assignments:
+            if assignments[var] == assignments[-var]:
+                conflicts.add(var)
+                
+    model = [True for i in range(len(vars))]
+    
+    for var in vars:
+        if var in assignments:
+            model[var - 1] = True if assignments[var] == 1 else False
+        elif -var in assignments:
+            model[var - 1] = True if assignments[-var] == 0 else False
+            
+    
+    
+    var_list = list(conflicts)
+    
+    monte_carlo_steps = 0
+    if len(conflicts) > 0:
+        for i in range(1000):
+            rand_var = random.choice(var_list)
+        
+            if sat.checkAssignment(model):
+                monte_carlo_steps
+                break
+        
+            model[rand_var - 1] = not model[rand_var - 1]
+        
+            monte_carlo_steps += 1
+        
+    post_process_results["conflicts"] = conflicts
+    post_process_results["satisfiable"] = sat.checkAssignment(model)
+    post_process_results["monte_carlo_steps"] = monte_carlo_steps
+    
+    return post_process_results
+
+def wmis_qpu_results_alpha_num_of_assignments():
+    edb = script.connect_to_experimetns_db()
+    edb_cursor = edb.cursor()
+    
+    idb = script.connect_to_instance_pool()
+    
+    q = queries.WMIS_result_scope_query_raw(idb)
+    q.query("c42_vLogistic_6", "wmis_qpu_results")
+    
+    insert_row = ("INSERT INTO c42_vLogistic_6_wmis_qpu_results "
+                  "(result_id, "
+                  " run, "
+                  " instance_id, "
+                  " number_of_found_assignments, "
+                  " chain_break_fraction, "
+                  " num_occurrences, "
+                  " energy, "
+                  " satisfiable, "
+                  " anneal_time) "
+                  "VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) ")
+    
+    run = int(input("run: "))
+    for result in tqdm(q):
+        if result["run"] == run:
+            sample_set = queries.read_raw_wmis_sample_set(result["data"])
+        
+            data = script.analyze_wmis_sample(sample_set.first)
+        
+            sat = queries.get_instance_by_id(idb["instances"], result["instance"])
+        
+            model = script.majority_vote_sample(sample_set.first.sample)
+        
+            isSatisfiable = sat.checkAssignment(model)
+        
+            anneal_time = result["data"]["info"]["timing"]["qpu_anneal_time_per_sample"]
+        
+        
+            edb_cursor.execute(insert_row, (str(result["_id"]),
+                                            int(result["run"]),
+                                            str(result["instance"]),
+                                            int(data["number_of_assignments"]),
+                                            float(data["chain_break_fraction"]),
+                                            int(data["num_occurrences"]),
+                                            int(data["energy"]),
+                                            isSatisfiable,
+                                            int(anneal_time)))
+        
+    edb.commit()
+    edb_cursor.close()
+    edb.close()
+
+
 def minisat_runs():
     edb = script.connect_to_experimetns_db()
     edb_cursor = edb.cursor();

test_sat_to_qubo_workflow.py

@@ -23,13 +23,15 @@ from dwave_qbsolv import QBSolv
 
 import numpy as np
 import random
+import re
 
 from tqdm import tqdm
 
 def main():
     #__wmis()
+    __pqubo_3()
     #__pqubo()
-    __wmis3()
+    #__wmis3()
     
 
 def __qubo_to_nx_graph(qubo):
@@ -119,64 +121,74 @@ def __wmis_qpu():
     
     
 def __wmis():
-    sat = rand_sat.generateRandomKSAT(25, 6, 3)
+    sat_count = 0
-    qubo = __negate_qubo(SAT2QUBO.WMISdictQUBO(sat))
+    no_embedding_count = 0
-    #qubo = SAT2QUBO.WMISdictQUBO(sat)
-    nx_qubo = __qubo_to_nx_graph(qubo)
     
-    target_graph = dnx.chimera_graph(16, 16, 4)
+    for i in range(200):
+        sat = rand_sat.generateRandomKSAT(40, 14, 3)
+        qubo = SAT2QUBO.WMISdictQUBO(sat)
+        #qubo = SAT2QUBO.WMISdictQUBO(sat)
+        nx_qubo = __qubo_to_nx_graph(qubo)
         
-    emb = minorminer.find_embedding(nx_qubo.edges(),
+        target_graph = dnx.chimera_graph(16, 16, 4)
-                                    target_graph.edges(),
-                                    return_overlap=True)
         
-    if emb[1] != 1:
+        emb = minorminer.find_embedding(nx_qubo.edges(),
-        print("no embedding found")
+                                        target_graph.edges(),
-        return
+                                        return_overlap=True)
         
-    print(emb[0])
+        if emb[1] != 1:
+            print("no embedding found")
+            no_embedding_count += 1
+            continue
         
-    chimera_sampler = dimod.StructureComposite(SimulatedAnnealingSampler(),
+        #print(emb[0])
-                                               target_graph.nodes(),
+        
-                                               target_graph.edges())
+        chimera_sampler = dimod.StructureComposite(SimulatedAnnealingSampler(),
+                                                target_graph.nodes(),
+                                                target_graph.edges())
         
         
         
-    sampler = FixedEmbeddingComposite(chimera_sampler, emb[0])
+        sampler = FixedEmbeddingComposite(chimera_sampler, emb[0])
 
         
-    res = sampler.sample_qubo(qubo)
+        res = sampler.sample_qubo(qubo, chain_strength=2)
-    #res = SimulatedAnnealingSampler().sample_qubo(qubo)
+        #res = SimulatedAnnealingSampler().sample_qubo(qubo)
         
-    #dwave.embedding.chain_breaks.majority_vote(res, emb[0])
+        #dwave.embedding.chain_breaks.majority_vote(res, emb[0])
         
-    first = res.first
+        first = res.first
         
-    print("chain_break_fraction={}".format(first.chain_break_fraction))
+        print("chain_break_fraction={}".format(first.chain_break_fraction))
-    for lit, spin in first.sample.items():
+        #for lit, spin in first.sample.items():
-        print(lit, spin)
+            #print(lit, spin)
-    print("true count: {}".format(np.count_nonzero(list(first.sample.values()))))
+        print("true count: {}".format(np.count_nonzero(list(first.sample.values()))))
         
-    assignments = {}
+        assignments = {}
         
-    for coupler, energy in first.sample.items():
+        for coupler, energy in first.sample.items():
             
-        var = abs(coupler[1])
+            var = abs(coupler[1])
             
-        if var not in assignments:
+            if var not in assignments:
-            assignments[var] = {"all": []}
+                assignments[var] = {"all": []}
             
-        if energy == 1:
+            if energy == 1:
-            assignments[var]["all"].append(1 if coupler[1] > 0 else 0)
+                assignments[var]["all"].append(1 if coupler[1] > 0 else 0)
         
-    __majority_vote(assignments)
+        __majority_vote(assignments)
                         
-    #for var, a in assignments.items():
+        #for var, a in assignments.items():
-        ##print(var, np.sort(a["all"]), __majority_percentage(a["all"]))
+            ##print(var, np.sort(a["all"]), __majority_percentage(a["all"]))
-        #print(var, a)
+            #print(var, a)
-    final = __extract_assignment(assignments)
+        final = __extract_assignment(assignments)
-    print(final)
+        print(final)
-    print("satisfies sat: {}".format(sat.checkAssignment(final)))
+        print("satisfies sat: {}".format(sat.checkAssignment(final)))
+        
+        if sat.checkAssignment(final):
+            sat_count += 1
+        
+    print("sat ratio: {}".format(sat_count / (200 - no_embedding_count)))
 
 def __optimize_assignment(sat, assignment, consistencies):
     rnd = random.Random()
@@ -237,7 +249,7 @@ def __majority_percentage(a):
     return true_perc if true_perc >= 0.5 else 1 - true_perc
 
 def __pqubo():
-    sat = rand_sat.generateRandomKSAT(25, 6, 3)
+    sat = rand_sat.generateRandomKSAT(42, 7, 3)
     ising = SAT2QUBO.primitiveQUBO(sat)
     nx_qubo = __qubo_to_nx_graph(ising)
     
@@ -260,9 +272,167 @@ def __pqubo():
     h, J = __split_ising(ising)
     
     res = sampler.sample_ising(h, J)
-    #res = QBSolv().sample_qubo(qubo, find_max=True)
+    #res = sampler.sample_ising(h, J, find_max=False)
     
-    print(res.first)
+    print(res.truncate(10))
+    
+    sample = res.first.sample
+    
+    extracted = {}
+    
+    r = re.compile("c\d+_l-?\d*")
+    
+    for label, assignment in sample.items():
+        if r.fullmatch(label):
+            
+            extracted[tuple(re.split(r"\_l", label[1:]))] = assignment
+            
+    model = [True for i in range(len(extracted))]
+    
+    assignments = {}
+    
+    for label, assignment in extracted.items():
+        clause = int(label[0])
+        lit = int(label[1])
+        var = abs(lit)
+        
+        if lit < 0:
+            assignment *= -1
+        
+        if var in assignments:
+            assignments[var].append(assignment)
+        else:
+            assignments[var] = [assignment]
+            
+
+    conflicts = False
+    for var, a in assignments.items():
+        if abs(np.sum(a)) != len(a):
+            conflicts = True
+            print("conflicts - no solution found")
+            print(var, np.sort(a))
+            
+    if conflicts:
+        print(assignments)
+        return 
+    
+    model = [True for i in range(sat.getNumberOfVariables())]
+    
+    for var, assignment in assignments.items():
+        model[var - 1] = True if assignment[0] > 0 else False
+    
+    print(model, sat.checkAssignment(model))
+
+def __pqubo_3():
+    sat_count = 0
+    no_embedding_count = 0
+    
+    for i in range(200):
+        sat = rand_sat.generateRandomKSAT(40, 14, 3)
+        #ising = SAT2QUBO.primitiveQUBO_8(sat)
+        ising = SAT2QUBO.WMISdictQUBO_2(sat)
+        nx_qubo = __qubo_to_nx_graph(ising)
+        
+        target_graph = dnx.chimera_graph(16, 16, 4)
+        
+        emb = minorminer.find_embedding(nx_qubo.edges(),
+                                        target_graph.edges(),
+                                        return_overlap=True)
+        
+        if emb[1] != 1:
+            print("no embedding found")
+            no_embedding_count += 1
+            continue
+        
+        chimera_sampler = dimod.StructureComposite(SimulatedAnnealingSampler(),
+                                                target_graph.nodes(),
+                                                target_graph.edges())
+        
+        sampler = FixedEmbeddingComposite(chimera_sampler, emb[0])
+        
+        
+        h, J = __split_ising(ising)
+        
+        res = sampler.sample_qubo(ising)
+        #res = sampler.sample_ising(h, J, find_max=False)
+        
+        print(res.truncate(10))
+        
+        print("chain_break_fraction", res.first.chain_break_fraction)
+        
+        sample = res.first.sample
+        
+        assignments = {}
+        vars = set()
+        
+        for node, energy in sample.items():
+            if node[0] == "x":
+                lit = int(node[1:])
+                
+                vars.add(abs(lit))
+                
+                assignments[lit] = energy
+        
+        print(assignments)
+        
+        conflicts = set()
+        for var in vars:
+            if var in assignments and -var in assignments:
+                if assignments[var] == assignments[-var]:
+                    print("conflict at var: {}".format(var))
+                    conflicts.add(var)
+                    
+        #if conflicts:
+        #    return 
+        
+        model = [True for i in range(len(vars))]
+        
+        for var in vars:
+            if var in assignments:
+                model[var - 1] = True if assignments[var] == 1 else False
+            elif -var in assignments:
+                model[var - 1] = True if assignments[-var] == 0 else False
+                
+        
+        
+        var_list = list(conflicts)
+        
+        print(sat.checkAssignment(model))
+        if len(var_list) > 0:
+            for i in range(1000):
+                
+                if sat.checkAssignment(model):
+                    print(i)
+                    break
+                
+                rand_var = random.choice(var_list)
+                
+                model[rand_var - 1] = not model[rand_var - 1]
+                
+            
+        print()
+        
+        print(model)
+        print()
+        
+        print(sat.checkAssignment(model))
+        if sat.checkAssignment(model):
+            sat_count += 1
+        print()
+        
+        degrees = sat.getDegreesOfVariables()
+        
+        for var in conflicts:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            print("var {}: deg={}, coupler={}, e={}, ne={}"
+                .format(var,
+                        degrees[var],
+                        ising[(node_var, node_nvar)],
+                        assignments[var],
+                        assignments[-var]))
+    
+    print("sat ratio: {}".format(sat_count / (200 - no_embedding_count)))
     
 def __split_ising(ising):
     h = {}

util/SAT2QUBO.py

@@ -4,9 +4,10 @@ import numpy as np
 from . import kSAT
 from tqdm import tqdm
 import math
+import random
 
-__VERTEX_WEIGHT__ = -1
+__VERTEX_WEIGHT__ = -2#-1
-__EDGE_WEIGHT__ = 2
+__EDGE_WEIGHT__ = 2#2
 
 def WMISdictQUBO(kSATInstance):
     quboInstance = {}
@@ -32,6 +33,37 @@ def WMISdictQUBO(kSATInstance):
     
     return quboInstance
 
+def WMISdictQUBO_2(kSATInstance):
+    quboInstance = {}
+    
+    for clauseIndex in range(kSATInstance.getNumberOfClauses()):
+        clause = kSATInstance.getClause(clauseIndex)
+        
+        # build triangles
+        for varIndexInClause in range(len(clause)):
+            lit = clause[varIndexInClause]
+            var = abs(lit)
+            
+            aux = "z{}_{}".format(clauseIndex, var)
+            var_node = "x{}".format(var)
+            
+            if lit < 0:
+                quboInstance[(aux, aux)] = __VERTEX_WEIGHT__
+                quboInstance[(var_node, aux)] = __EDGE_WEIGHT__
+            else:
+                quboInstance[(var_node, aux)] = __VERTEX_WEIGHT__
+            
+            
+            
+            for i in range(varIndexInClause + 1, len(clause)):
+                var2 = abs(clause[i])
+                
+                aux2 = "z{}_{}".format(clauseIndex, var2)
+                
+                quboInstance[(aux, aux2)] = __EDGE_WEIGHT__
+    
+    return quboInstance
+
 # only 3sat
 def primitiveQUBO(sat):
     quboInstance = {}
@@ -47,10 +79,10 @@ def primitiveQUBO(sat):
         lit1 = "c{}_l{}".format(clauseIndex, clause[0])
         lit2 = "c{}_l{}".format(clauseIndex, clause[1])
         lit3 = "c{}_l{}".format(clauseIndex, clause[2])
-        aux1 = "a{}_{}".format(clauseIndex, 1)
+        aux1 = "z{}_{}".format(clauseIndex, 1)
-        aux2 = "a{}_{}".format(clauseIndex, 2)
+        aux2 = "z{}_{}".format(clauseIndex, 2)
-        aux3 = "a{}_{}".format(clauseIndex, 3)
+        aux3 = "z{}_{}".format(clauseIndex, 3)
-        aux4 = "a{}_{}".format(clauseIndex, 4)
+        aux4 = "z{}_{}".format(clauseIndex, 4)
         
         quboInstance[(lit1, lit1)] = 1;
         quboInstance[(lit2, lit2)] = 1;
@@ -91,7 +123,15 @@ def primitiveQUBO(sat):
             longestChain = len(nodes)
             
         if lit > 0 and -1 * lit in chains:
-            quboInstance[(chains[lit][0], chains[-1*lit][0])] = 2
+            len_smaller_chain = min(len(chains[lit]), len(chains[-lit]))
+            
+            indices = random.sample(list(range(len_smaller_chain)),
+                                    round(len_smaller_chain / 2))
+            
+            for index in indices:
+                quboInstance[(chains[lit][index], chains[-1*lit][index])] = 10
+            
+            #quboInstance[(chains[lit][0], chains[-1*lit][0])] = 2
             
     print("longest chain = {}".format(longestChain))
     
@@ -102,6 +142,574 @@ def primitiveQUBO(sat):
     
     return quboInstance
 
+# only 3sat
+def primitiveQUBO_2(sat):
+    quboInstance = {}
+    
+    chains = {}
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        sign1 = 1 if lit1 > 0 else -1
+        sign2 = 1 if lit2 > 0 else -1
+        sign3 = 1 if lit3 > 0 else -1
+        
+        node_var1 = "x{}".format(var1)
+        node_var2 = "x{}".format(var2)
+        node_var3 = "x{}".format(var3)
+        
+        node_aux1 = "a{}_{}".format(clauseIndex, 1)
+        node_aux2 = "a{}_{}".format(clauseIndex, 2)
+        node_aux3 = "a{}_{}".format(clauseIndex, 3)
+        node_aux4 = "a{}_{}".format(clauseIndex, 4)
+        
+        
+        quboInstance[(node_var1, node_var1)] = 1 * sign1
+        quboInstance[(node_var2, node_var2)] = 1 * sign2
+        quboInstance[(node_var3, node_var3)] = 1 * sign3
+        quboInstance[(node_aux1, node_aux1)] = -2
+        quboInstance[(node_aux2, node_aux2)] = 1
+        quboInstance[(node_aux3, node_aux3)] = -2
+        quboInstance[(node_aux4, node_aux4)] = -2
+        
+        quboInstance[(node_var1, node_var2)] = 1 * sign1 * sign2
+        quboInstance[(node_var1, node_aux1)] = -2 * sign1
+        quboInstance[(node_var2, node_aux1)] = -2 * sign2
+        quboInstance[(node_aux1, node_aux2)] = -2
+        quboInstance[(node_aux2, node_var3)] = 1 * sign3
+        
+        quboInstance[(node_var3, node_aux3)] = -2 * sign3
+        quboInstance[(node_aux2, node_aux3)] = -2
+        quboInstance[(node_var3, node_aux4)] = -2
+    
+    return quboInstance
+
+# only 3sat
+def primitiveQUBO_3(sat):
+    quboInstance = {}
+    
+    chains = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        lits[lit1] = True
+        lits[lit2] = True
+        lits[lit3] = True
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        vars[var1] = True
+        vars[var2] = True
+        vars[var3] = True
+        
+        node_lit1 = "x{}".format(lit1)
+        node_lit2 = "x{}".format(lit2)
+        node_lit3 = "x{}".format(lit3)
+        
+        node_aux1 = "z{}_{}".format(clauseIndex, 1)
+        node_aux2 = "z{}_{}".format(clauseIndex, 2)
+        node_aux3 = "z{}_{}".format(clauseIndex, 3)
+        node_aux4 = "z{}_{}".format(clauseIndex, 4)
+        
+        
+        quboInstance[(node_lit1, node_lit1)] = 1
+        quboInstance[(node_lit2, node_lit2)] = 1
+        quboInstance[(node_lit3, node_lit3)] = 1
+        quboInstance[(node_aux1, node_aux1)] = -2
+        quboInstance[(node_aux2, node_aux2)] = 1
+        quboInstance[(node_aux3, node_aux3)] = -2
+        quboInstance[(node_aux4, node_aux4)] = -2
+        
+        quboInstance[(node_lit1, node_lit2)] = 1
+        quboInstance[(node_lit1, node_aux1)] = -2
+        quboInstance[(node_lit2, node_aux1)] = -2
+        
+        quboInstance[(node_aux1, node_aux2)] = -2
+        
+        quboInstance[(node_aux2, node_lit3)] = 1
+        quboInstance[(node_lit3, node_aux3)] = -2
+        quboInstance[(node_aux2, node_aux3)] = -2
+        
+        quboInstance[(node_aux3, node_aux4)] = -2
+    
+    for var in vars.keys():
+        if var in lits and -var in lits:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            
+            print((node_var, node_nvar))
+            quboInstance[(node_var, node_nvar)] = 2
+            
+    return quboInstance
+
+def primitiveQUBO_4(sat):
+    quboInstance = {}
+    
+    
+    clauses_per_lit = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+    
+    master_z = "zm"
+    
+    #quboInstance[(master_z, master_z)] = -2
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        lits[lit1] = True
+        lits[lit2] = True
+        lits[lit3] = True
+        
+        sign1 = 1 if lit1 > 0 else -1
+        sign2 = 1 if lit2 > 0 else -1
+        sign3 = 1 if lit3 > 0 else -1
+        
+        for lit in clause:
+            if lit in clauses_per_lit:
+                clauses_per_lit[lit] += 1
+            else:
+                clauses_per_lit[lit] = 1
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        vars[var1] = True
+        vars[var2] = True
+        vars[var3] = True
+        
+        node_lit1 = "x{}".format(lit1)
+        node_lit2 = "x{}".format(lit2)
+        node_lit3 = "x{}".format(lit3)
+        
+        node_aux = "z{}".format(clauseIndex)
+        
+        #quboInstance[(node_aux, node_aux)] = -2
+        #quboInstance[(node_aux, master_z)] = -2
+        
+        #quboInstance[(node_lit1, node_lit1)] = +1 #* sign3
+        #quboInstance[(node_lit2, node_lit2)] = +1 #* sign3
+        #quboInstance[(node_lit3, node_lit3)] = +1 #* sign3
+        
+        quboInstance[(node_lit1, node_aux)] = -2 #* sign1
+        quboInstance[(node_lit2, node_aux)] = -2 #* sign2
+        quboInstance[(node_lit3, node_aux)] = -2 #* sign3
+    
+    for lit in lits.keys():
+        node_lit = "x{}".format(lit)
+        
+        #quboInstance[(node_lit, node_lit)] = 2 * clauses_per_lit[lit]
+        
+    for var in vars.keys():
+        if var in lits and -var in lits:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            
+            max_clauses = max(clauses_per_lit[var], clauses_per_lit[-var])
+            num_clauses = clauses_per_lit[var] + clauses_per_lit[-var]
+             
+            print((node_var, node_nvar))
+            quboInstance[(node_var, node_nvar)] = 2 * num_clauses
+            #quboInstance[(node_var, node_nvar)] = 2# * num_clauses
+            
+    return quboInstance
+
+def primitiveQUBO_5(sat):
+    quboInstance = {}
+    
+    
+    clauses_per_lit = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+    
+    master_z = "zm"
+    
+    #quboInstance[(master_z, master_z)] = -2
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        lits[lit1] = True
+        lits[lit2] = True
+        lits[lit3] = True
+        
+        for lit in clause:
+            if lit in clauses_per_lit:
+                clauses_per_lit[lit] += 1
+            else:
+                clauses_per_lit[lit] = 1
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        vars[var1] = True
+        vars[var2] = True
+        vars[var3] = True
+        
+        node_lit1 = "x{}".format(lit1)
+        node_lit2 = "x{}".format(lit2)
+        node_lit3 = "x{}".format(lit3)
+        
+        node_aux1 = "z{}_1".format(clauseIndex)
+        node_aux2 = "z{}_2".format(clauseIndex)
+        
+        quboInstance[(node_lit1, node_aux1)] = -2
+        quboInstance[(node_lit2, node_aux1)] = -2
+        quboInstance[(node_lit1, node_lit2)] = +2
+        
+        quboInstance[(node_aux1, node_lit3)] = +2
+        quboInstance[(node_lit3, node_aux2)] = -2
+        
+
+        
+    for var in vars.keys():
+        if var in lits and -var in lits:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            
+            max_clauses = max(clauses_per_lit[var], clauses_per_lit[-var])
+            num_clauses = clauses_per_lit[var] + clauses_per_lit[-var]
+             
+            #print((node_var, node_nvar))
+            quboInstance[(node_var, node_nvar)] = 2 * max_clauses
+            
+    return quboInstance
+
+def primitiveQUBO_6(sat):
+    quboInstance = {}
+    
+    
+    clauses_per_lit = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+    
+    master_z = "zm"
+    
+    #quboInstance[(master_z, master_z)] = -2
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        lits[lit1] = True
+        lits[lit2] = True
+        lits[lit3] = True
+        
+        for lit in clause:
+            if lit in clauses_per_lit:
+                clauses_per_lit[lit] += 1
+            else:
+                clauses_per_lit[lit] = 1
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        vars[var1] = True
+        vars[var2] = True
+        vars[var3] = True
+        
+        node_lit1 = "x{}".format(lit1)
+        node_lit2 = "x{}".format(lit2)
+        node_lit3 = "x{}".format(lit3)
+        
+        node_aux1 = "z{}_1".format(clauseIndex)
+        node_aux2 = "z{}_2".format(clauseIndex)
+        node_aux3 = "z{}_3".format(clauseIndex)
+        node_aux4 = "z{}_4".format(clauseIndex)
+        
+        quboInstance[(node_lit1, node_aux1)] = -2
+        quboInstance[(node_lit2, node_aux2)] = -2
+        quboInstance[(node_aux1, node_aux2)] = +2
+        
+        quboInstance[(node_aux1, node_aux3)] = -2
+        quboInstance[(node_aux2, node_aux3)] = -2
+        
+        quboInstance[(node_aux1, node_aux1)] = +2
+        quboInstance[(node_aux2, node_aux2)] = +2
+        
+        quboInstance[(node_aux3, node_lit3)] = +2
+        quboInstance[(node_lit3, node_aux4)] = -2
+        
+
+        
+    for var in vars.keys():
+        if var in lits and -var in lits:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            
+            max_clauses = max(clauses_per_lit[var], clauses_per_lit[-var])
+            num_clauses = clauses_per_lit[var] + clauses_per_lit[-var]
+             
+            #print((node_var, node_nvar))
+            quboInstance[(node_var, node_nvar)] = 2 * max_clauses
+            
+    return quboInstance
+
+def primitiveQUBO_7(sat):
+    quboInstance = {}
+    
+    
+    clauses_per_lit = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+    
+    master_z = "zm"
+    
+    #quboInstance[(master_z, master_z)] = -2
+    direct_cupplers = {}
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sat.getClause(clauseIndex)
+        
+        lit1 = clause[0]
+        lit2 = clause[1]
+        lit3 = clause[2]
+        
+        lits[lit1] = True
+        lits[lit2] = True
+        lits[lit3] = True
+        
+        for lit in clause:
+            if lit in clauses_per_lit:
+                clauses_per_lit[lit] += 1
+            else:
+                clauses_per_lit[lit] = 1
+        
+        var1 = abs(lit1)
+        var2 = abs(lit2)
+        var3 = abs(lit3)
+        
+        vars[var1] = True
+        vars[var2] = True
+        vars[var3] = True
+        
+        node_lit1 = "x{}".format(lit1)
+        node_lit2 = "x{}".format(lit2)
+        node_lit3 = "x{}".format(lit3)
+        
+        node_aux1 = "z{}_1".format(clauseIndex)
+        node_aux2 = "z{}_2".format(clauseIndex)
+        
+        quboInstance[(node_lit1, node_aux1)] = -2
+        quboInstance[(node_lit2, node_aux1)] = -2
+        quboInstance[(node_lit1, node_lit2)] = +2
+        
+        quboInstance[(node_aux1, node_lit3)] = +2
+        quboInstance[(node_lit3, node_aux2)] = -2
+        
+        
+        
+        if (node_lit1, node_lit2) in direct_cupplers:
+            direct_cupplers[(node_lit1, node_lit2)] += 1
+        else:
+            direct_cupplers[(node_lit1, node_lit2)] = 1
+        
+
+        
+    for var in vars.keys():
+        if var in lits and -var in lits:
+            node_var = "x{}".format(var)
+            node_nvar = "x{}".format(-var)
+            
+            max_clauses = max(clauses_per_lit[var], clauses_per_lit[-var])
+            num_clauses = clauses_per_lit[var] + clauses_per_lit[-var]
+             
+            print((node_var, node_nvar))
+            quboInstance[(node_var, node_nvar)] = 2 * max_clauses
+
+            
+    for coupler, count in direct_cupplers.items():        
+        quboInstance[coupler] = count * 2
+        
+            
+    return quboInstance
+
+def primitiveQUBO_8(sat):
+    quboInstance = {}
+    
+    
+    clauses_per_lit = {}
+    
+    lits = {}
+    vars = {}
+    
+    n_clauses = sat.getNumberOfClauses()
+
+    direct_cupplers = {}
+    
+    for clauseIndex in range(sat.getNumberOfClauses()):
+        clause = sorted(sat.getClause(clauseIndex))
+        
+        if clause[2] < 0:
+            __add_3not_or_clause(quboInstance, clause, clauseIndex)
+        elif clause[1] < 0:
+            __add_2not_or_clause(quboInstance, clause, clauseIndex)
+        elif clause[0] < 0:
+            __add_1not_or_clause(quboInstance, clause, clauseIndex, direct_cupplers)
+        else:
+            __add_3_or_clause(quboInstance, clause, clauseIndex, direct_cupplers)
+
+            
+    for coupler, count in direct_cupplers.items():        
+        quboInstance[coupler] = count * 2
+        
+            
+    return quboInstance
+
+def __add_3not_or_clause(quboInstance, clause, clause_index):
+    var1 = abs(clause[0])
+    var2 = abs(clause[1])
+    var3 = abs(clause[2])
+    
+    
+    node_var1 = "x{}".format(var1)
+    node_var2 = "x{}".format(var2)
+    node_var3 = "x{}".format(var3)
+    
+    node_aux1 = "z{}_1".format(clause_index)
+    node_aux2 = "z{}_2".format(clause_index)
+    node_aux3 = "z{}_3".format(clause_index)
+    
+    quboInstance[(node_var1, node_aux1)] = +2
+    quboInstance[(node_var2, node_aux2)] = +2
+    quboInstance[(node_aux1, node_aux2)] = +2
+    
+    quboInstance[(node_aux1, node_aux1)] = -2
+    quboInstance[(node_aux2, node_aux2)] = -2
+    
+    quboInstance[(node_var1, node_aux3)] = -2
+    quboInstance[(node_var2, node_aux3)] = -2
+    quboInstance[(node_var3, node_aux3)] = +2
+    quboInstance[(node_aux3, node_aux3)] = +2
+    
+def __add_2not_or_clause(quboInstance, clause, clause_index):
+    var1 = abs(clause[0])
+    var2 = abs(clause[1])
+    var3 = abs(clause[2])
+    
+    
+    node_var1 = "x{}".format(var1)
+    node_var2 = "x{}".format(var2)
+    node_var3 = "x{}".format(var3)
+    
+    node_aux1 = "z{}_1".format(clause_index)
+    node_aux2 = "z{}_2".format(clause_index)
+    node_aux3 = "z{}_3".format(clause_index)
+    node_aux4 = "z{}_4".format(clause_index)
+    node_aux5 = "z{}_5".format(clause_index)
+    
+    quboInstance[(node_var1, node_aux1)] = +2
+    quboInstance[(node_var2, node_aux2)] = +2
+    quboInstance[(node_aux1, node_aux2)] = +2
+    
+    quboInstance[(node_aux1, node_aux3)] = -2
+    quboInstance[(node_aux2, node_aux3)] = -2
+    quboInstance[(node_aux3, node_aux3)] = +2
+    
+    quboInstance[(node_aux3, node_aux4)] = -2
+    quboInstance[(node_var3, node_aux5)] = -2
+    quboInstance[(node_aux4, node_aux5)] = +2
+
+def __add_1not_or_clause(quboInstance, clause, clause_index, direct_cupplers):
+    var1 = abs(clause[1])
+    var2 = abs(clause[2])
+    var3 = abs(clause[0])
+    
+    
+    node_var1 = "x{}".format(var1)
+    node_var2 = "x{}".format(var2)
+    node_var3 = "x{}".format(var3)
+    
+    node_aux1 = "z{}_1".format(clause_index)
+    node_aux2 = "z{}_2".format(clause_index)
+    
+    quboInstance[(node_var1, node_var2)] = +2
+    quboInstance[(node_var1, node_aux1)] = -2
+    quboInstance[(node_var2, node_aux1)] = -2
+    
+    quboInstance[(node_aux1, node_aux2)] = +2
+    quboInstance[(node_var3, node_aux2)] = +2
+    
+    quboInstance[(node_aux2, node_aux2)] = -2
+    
+    if (node_var1, node_var2) in direct_cupplers:
+        direct_cupplers[(node_var1, node_var2)] += 1
+    else:
+        direct_cupplers[(node_var1, node_var2)] = 1
+        
+def __add_3_or_clause(quboInstance, clause, clause_index, direct_cupplers):
+    var1 = abs(clause[0])
+    var2 = abs(clause[1])
+    var3 = abs(clause[2])
+    
+    
+    node_var1 = "x{}".format(var1)
+    node_var2 = "x{}".format(var2)
+    node_var3 = "x{}".format(var3)
+    
+    node_aux1 = "z{}_1".format(clause_index)
+    node_aux2 = "z{}_2".format(clause_index)
+    
+    quboInstance[(node_var1, node_var2)] = +2
+    quboInstance[(node_var1, node_aux1)] = -2
+    quboInstance[(node_var2, node_aux1)] = -2
+    
+    quboInstance[(node_aux1, node_var3)] = +2
+    quboInstance[(node_var3, node_aux2)] = -2
+    
+    if (node_var1, node_var2) in direct_cupplers:
+        direct_cupplers[(node_var1, node_var2)] += 1
+    else:
+        direct_cupplers[(node_var1, node_var2)] = 1
+
+    
 class QuboWriter:
     def __init__(self, qubo):
         self.__labelIndexDict = {}

util/graph.py

@@ -25,3 +25,15 @@ def create_qpu_solver_nxgraph(solver):
     graph.add_edges_from(solver.edges)
     
     return graph
+
+def split_ising(ising):
+    h = {}
+    J = {}
+    
+    for coupler, energy in ising.items():
+        if coupler[0] == coupler[1]:
+            h[coupler[0]] = energy
+        else:
+            J[coupler] = energy
+    
+    return h, J

util/queries.py

@@ -59,6 +59,56 @@ class Instance_scope_query:
         
         return sat, document["_id"]
 
+class Qubo_ising_scope_query_raw:
+    def __init__(self, database, collection):
+        self.__database = database
+        self.__collection = collection
+        self.__query = None
+        self.__qubo_ids = []
+        self.__qubo_id_iterator = None
+    
+    def query(self, scope):
+        self.__query = self.__database["experiment_scopes"].aggregate([
+            {
+                "$match": {"_id": scope}
+            },
+            {
+                "$unwind": "$instances"
+            },
+            {
+                "$lookup":
+                {
+                    "from": self.__collection,
+                    "localField": "instances",
+                    "foreignField": "instance",
+                    "as": "qubo"
+                }
+            },
+            {
+                "$unwind": "$qubo"
+            },
+            {
+                "$project": {"qubo_id": "$qubo._id"}
+            }
+        ])
+        
+        self.__qubo_ids = []
+        for doc in self.__query:
+            self.__qubo_ids.append(doc["qubo_id"])
+        
+        self.__qubo_id_iterator = iter(self.__qubo_ids)
+            
+    def __len__(self):
+        return self.query.count_documents({})
+            
+    def __iter__(self):
+        return self
+    
+    def __next__(self):
+        qubo_filter = {"_id": self.__qubo_id_iterator.__next__()}
+        
+        return self.__database[self.__collection].find_one(qubo_filter)
+
 class WMIS_scope_query_raw:
     
     def __init__(self, database):
@@ -115,12 +165,27 @@ class WMIS_scope_query (WMIS_scope_query_raw):
         doc = super(WMIS_scope_query, self).__next__()
         
         
+        return read_raw_qubo(doc["qubo"]), doc["_id"]
+    
+class Ising_scope_query (Qubo_ising_scope_query_raw):
+    
+    def __next__(self):
+        doc = super(Ising_scope_query, self).__next__()
+        
+        return read_raw_ising(doc["qubo"]), doc["_id"]
+
+class Qubo_scope_query (Qubo_ising_scope_query_raw):
+    
+    def __next__(self):
+        doc = super(Qubo_scope_query, self).__next__()
+        
         return read_raw_qubo(doc["qubo"]), doc["_id"]
     
 class WMIS_solver_input_scope_query_raw:
     
-    def __init__(self, database):
+    def __init__(self, database, ising_qubo_collection):
         self.__database = database
+        self.__ising_qubo_collection = ising_qubo_collection
         self.__query = None
         self.__ids = []
         self.__id_iterator = None;
@@ -139,7 +204,7 @@ class WMIS_solver_input_scope_query_raw:
             {
                 "$lookup":
                 {
-                    "from": "wmis_qubos",
+                    "from": self.__ising_qubo_collection,
                     "localField": "instance_id",  
                     "foreignField": "instance",
                     "as": "wmis_qubo"
@@ -230,7 +295,9 @@ class WMIS_solver_input_scope_query_raw:
         doc["instance_id"] = ids["instance_id"]
         
         qubo_filter = {"_id": ids["wmis_qubo_id"]}
-        doc["wmis_qubo"] = self.__database["wmis_qubos"].find_one(qubo_filter)
+        
+        ising_qubo_collection = self.__database[self.__ising_qubo_collection]
+        doc["wmis_qubo"] = ising_qubo_collection.find_one(qubo_filter)
         
         embeddings_filter = {"_id": ids["embeddings_id"]}
         doc["embeddings"] = self.__database["embeddings"].find_one(embeddings_filter)
@@ -257,6 +324,26 @@ class WMIS_solver_input_scope_query (WMIS_solver_input_scope_query_raw):
             
         return data
     
+class Ising_solver_input_scope_query (WMIS_solver_input_scope_query_raw):
+    
+    def __next__(self):
+        doc = super(Ising_solver_input_scope_query, self).__next__()
+        
+        data = {}
+        
+        data["instance_id"] = doc["instance_id"]
+        
+        data["qubo_id"] = doc["wmis_qubo"]["_id"]
+        data["qubo"] = read_raw_ising(doc["wmis_qubo"]["qubo"])
+        
+        data["embeddings_id"] = doc["embeddings"]["_id"]
+        
+        data["embeddings"] = []
+        for raw_emb in doc["embeddings"]["embeddings"]:
+            data["embeddings"].append(read_raw_ising_embedding(raw_emb))
+            
+        return data
+    
 class WMIS_result_scope_query_raw:
     def __init__(self, database):
         self.__database = database
@@ -395,6 +482,19 @@ def read_raw_qubo(raw_qubo):
         
     return qubo
 
+def read_raw_ising(raw_ising):
+    ising = {}
+    
+    for entry in raw_ising:
+        energy = entry[1]
+        raw_coupler = entry[0]
+        node1 = raw_coupler[0]
+        node2 = raw_coupler[1]
+        
+        ising[(node1, node2)] = energy
+    
+    return ising
+
 def read_raw_embedding(raw_embedding):
     emb = {}
     
@@ -406,6 +506,17 @@ def read_raw_embedding(raw_embedding):
         
     return emb
 
+def read_raw_ising_embedding(raw_embedding):
+    emb = {}
+    
+    if "embedding" in raw_embedding:
+        raw_embedding = raw_embedding["embedding"]
+        
+    for entry in raw_embedding:
+        emb[entry[0]] = entry[1]
+        
+    return emb
+
 def read_raw_wmis_sample_set(raw_sample_set):
     sample_set_data = raw_sample_set.copy()
     
@@ -416,6 +527,16 @@ def read_raw_wmis_sample_set(raw_sample_set):
         
     return dimod.SampleSet.from_serializable(sample_set_data)
 
+def read_raw_primitive_ising_sample_set(raw_sample_set):
+    sample_set_data = raw_sample_set.copy()
+    
+    sample_set_data["variable_labels"] = []
+    
+    for label in raw_sample_set["variable_labels"]:
+        sample_set_data["variable_labels"].append("".join(label))
+        
+    return dimod.SampleSet.from_serializable(sample_set_data)
+
 def get_instance_by_id(collection, id):
     doc = collection.find_one({"_id": bson.ObjectId(id)})
     
@@ -426,3 +547,20 @@ def get_instance_by_id(collection, id):
         
     return sat
 
+def extract_primitive_ising_model(sample):
+    variable_bindings = {}
+    
+    for node, energy in sample.items():
+        if node[0] == "x":
+            var = int(node[1:])
+            variable_bindings[var] = True if energy > 0 else False
+            
+    model = [True for i in range(len(variable_bindings))]
+    
+    for var, binding in variable_bindings.items():
+        model[var - 1] = binding
+        
+    return model
+    
+    
+    

util/script.py

@@ -186,7 +186,43 @@ def create_wmis_qubos_for_scope(db, scope):
     for instance, instance_id in instances:
         qubo = SAT2QUBO.WMISdictQUBO(instance)
         
-        write_qubo_to_pool_db(db["wmis_qubos"], qubo, instance_id)
+        write_qubo_to_pool_db(db["wmis_qubos_2"], qubo, instance_id)
+        
+def create_wmis_2_qubos_for_scope(db, scope):
+    instances = queries.Instance_scope_query(db)
+    instances.query(scope)
+    
+    for instance, instance_id in instances:
+        qubo = SAT2QUBO.WMISdictQUBO_2(instance)
+        
+        write_qubo_to_pool_db(db["wmis_2_qubos"], qubo, instance_id)
+
+def create_primitive_isings_for_scope_2(db, scope):
+    instances = queries.Instance_scope_query(db)
+    instances.query(scope)
+    
+    for instance, instance_id in instances:
+        ising = SAT2QUBO.primitiveQUBO_2(instance)
+        
+        write_qubo_to_pool_db(db["primitive_isings_2"], ising, instance_id)
+        
+def create_primitive_qubo_for_scope_5(db, scope):
+    instances = queries.Instance_scope_query(db)
+    instances.query(scope)
+    
+    for instance, instance_id in tqdm(instances):
+        ising = SAT2QUBO.primitiveQUBO_5(instance)
+        
+        write_qubo_to_pool_db(db["primitive_isings_5"], ising, instance_id)
+        
+def create_primitive_qubo_for_scope_8(db, scope):
+    instances = queries.Instance_scope_query(db)
+    instances.query(scope)
+    
+    for instance, instance_id in tqdm(instances):
+        ising = SAT2QUBO.primitiveQUBO_8(instance)
+        
+        write_qubo_to_pool_db(db["primitive_isings_8"], ising, instance_id)
     
 def __qubo_to_JSON(qubo):
     quboJSON = []
@@ -306,6 +342,53 @@ def find_wmis_embeddings_for_scope(db, scope, solver_graph):
                                                    percentage))
     print("{} new embeddigns found".format(new_embeddings_found))
     
+def find_embeddings_for_scope(db, solver_graph, qubo_ising_query):
+    solver_graph_id = write_solver_graph_to_pool_db(db["solver_graphs"], 
+                                                    solver_graph)
+    
+    new_embeddings_found = 0
+    already_found = 0
+    total_count = 0
+    for qubo, qubo_id in tqdm(qubo_ising_query):
+        total_count += 1
+        
+        max_no_improvement = 10
+        for i in range(5):
+            if __embedding_entry_exists(db["embeddings"], qubo_id, solver_graph_id):
+                if i == 0:
+                    already_found += 1
+                break;
+            else: 
+                nx_qubo = graph.qubo_to_nx_graph(qubo)
+                
+                seed = random.randint(0, sys.maxsize)
+                
+                emb = minorminer.find_embedding(nx_qubo.edges(),
+                                                solver_graph.edges(),
+                                                return_overlap=True,
+                                                max_no_improvement=max_no_improvement,
+                                                random_seed=seed)
+                
+                if emb[1] == 1:
+                    write_wmis_embedding_to_pool_db(db["embeddings"],
+                                                    qubo_id,
+                                                    solver_graph_id,
+                                                    seed,
+                                                    emb[0])
+                    new_embeddings_found += 1
+                    
+            max_no_improvement *= 1.5
+    
+    percentage = 0
+    
+    if total_count > 0:
+        percentage = round(((new_embeddings_found + already_found) / total_count) * 100)
+    
+    print("found {} of {} embeddigns ({}%)".format(new_embeddings_found + already_found,
+                                                   total_count,
+                                                   percentage))
+    print("{} new embeddigns found".format(new_embeddings_found))
+
 def save_sample_set(collection, result, solver_input, emb_list_index, run):
     doc = {}