acceptance criteria fix

data/gan.py

@@ -584,7 +584,7 @@ class Predict(GNet):
                                 p = 0 not in df.sum(axis=1).values
                                 x = df.sum(axis=1).values
                                 
-                                if np.divide( np.sum(x), x.size)  > .9 or p and np.sum(x) == x.size:
+                                if x.max() == 1 and np.divide( np.sum(x), x.size)  > .9 or p and np.sum(x) == x.size and x.size == self.values.size:
                                         ratio.append(np.divide( np.sum(x), x.size))
                                         found.append(df)
                                         if i == CANDIDATE_COUNT:
@@ -606,7 +606,9 @@ class Predict(GNet):
                         
                         # r = np.zeros((self.ROW_COUNT,len(columns)))
                         # r = np.zeros(self.ROW_COUNT)
-                        
+                        if self.logger :
+                                info = {"found":len(found),"selected":INDEX, "ratio": ratio[INDEX],"rows":df.shape[0],"cols":df.shape[1]}
+                                self.logger.write({"module":"gan-generate","action":"generate","input":info})
                         df.columns = self.values
                         if len(found):
                                 # print (len(found),NTH_VALID_CANDIDATE)