satisfiability based on wmis sample majority vote

util/queries.py

@@ -295,6 +295,46 @@ class WMIS_result_scope_query_raw:
     
     def __next__(self):
         return self.__query.next()
+    
+class Minisat_run_scope_query_raw:
+    def __init__(self, database):
+        self.__database = database
+        self.__query = None
+        
+    def query(self, scope, collection):
+        self.__query = self.__database["experiment_scopes"].aggregate([
+            {
+                "$match": {"_id": scope}
+            },
+            {
+                "$unwind": "$instances"
+            },
+            {
+                "$project": {"instance_id": "$instances"}
+            },
+            {
+                "$lookup":
+                {
+                    "from": collection,
+                    "localField": "instance_id",  
+                    "foreignField": "instance",
+                    "as": "run"
+                }
+            },
+            {
+                "$unwind": "$run"
+            },
+            {
+                "$replaceRoot": {"newRoot": "$run"}
+            }
+        ])
+    
+    def __iter__(self):
+        return self
+    
+    def __next__(self):
+        return self.__query.next()
+    
 
 def load_embedding(collection, qubo_id, solver_graph_id):
     doc = collection.find_one(

util/script.py

@@ -300,3 +300,39 @@ def analyze_wmis_sample(sample):
     data["energy"] = sample.energy
     
     return data
+
+def analyde_minisat_run(run_document):
+    data = {}
+    
+    data["satisfiable"] = run_document["satisfiable"]
+    
+    return data
+
+def majority_vote_sample(sample):
+    assignments = {}
+    
+    for coupler, energy in sample.items():
+        
+        var = abs(coupler[1])
+        
+        if var not in assignments:
+            assignments[var] = {"all": []}
+        
+        if energy == 1:
+            assignments[var]["all"].append(1 if coupler[1] > 0 else 0)
+            
+    for var, a in assignments.items():
+        assignments[var]["majority"] = 1 if __true_percentage(a["all"]) >= 0.5 else 0
+        
+    assignment = [0 for i in range(len(assignments))]
+    
+    for var, a in assignments.items():
+        assignment[var - 1] = a["majority"]
+        
+    return assignment
+
+def __true_percentage(a):
+    if len(a) == 0:
+        return 0
+    
+    return np.count_nonzero(a) / len(a)