Weighted Sample changes

main.py

@@ -4,10 +4,12 @@
 #Noah Schrick - 1492657
 
 import json
+import random
 
 def main():
     bayes_net = import_bayes()
     print(len(bayes_net))
+    print(bayes_net["0"]["prob"][0][1])
     #print(is_root("3", bayes_net))
 
 #Import the BN from the json
@@ -52,8 +54,28 @@ def likelihood_weighting(X, e, bayes_net, samples):
 #Returns an event and a weight
 def weighted_sample(bayes_net, e):
     w = 1
-    #x = get_variable_nodes
+    sample = {}
+    #Elements in event x
+    for node in bayes_net:
+        #if bayes_net[e]["prob"][node] != None:
+        if e[node] !=None:
+            w*= bayes_net[node]["prob"][sample][1]
+            sample[node] = e[node]
+        else:
+           #Random sample
+           random_sample = random()
+           sample[node] = #True or False
+           
+    #v
 
+    #for i in range(len(n)):
+
+#Given a node in the bayes net and a random sample, determine if it should be
+#classified as True or False
+def get_bool(node, rand_sample, sample_table, BN):
+    table = {}
+    if is_root(node, BN):
+        table
 
  #   for