Fixed bin accumulation; added perf-test

caliGraph.py

@@ -418,8 +418,8 @@ def scoreUnread(G, globMu, globStd):
                     if 'score' in adjNode and adjNode['score'] != None:
                         w = adjNode['t']
                         for fb in adjNode['feedbacks']:
-                            neuralBins[w].append(fb)
                             feedbacks.append(fb)
+                        neuralBins[w].append(adjNode['score'])
                 node['mean'], node['std'] = norm.fit(feedbacks)
                 node['median'] = np.percentile(feedbacks, [50], method='linear')[0]
                 node['se'] = globStd / math.sqrt(len(feedbacks))
@@ -1331,6 +1331,7 @@ def cliInterface():
     parser.add_argument('--dark', action="store_true")
     parser.add_argument('--v3d', action="store_true")
     parser.add_argument('--imgs', action="store_true")
+    parser.add_argument('--perf-test', action="store_true")
     cmds = parser.add_subparsers(required=True, dest='cmd')
 
     p_rec = cmds.add_parser('recommend', description="TODO", aliases=['rec'])
@@ -1370,6 +1371,24 @@ def cliInterface():
 
     args = parser.parse_args()
 
+    if args.perfTest:
+        perfTestCLI(args)
+    else:
+        mainCLI(args)
+
+def perfTestCLI(args):
+    from pycallgraph import PyCallGraph
+    from pycallgraph import Config
+    from pycallgraph import GlobbingFilter
+    from pycallgraph.output import GraphvizOutput
+    config = Config()
+    config.trace_filter = GlobbingFilter(exclude=[
+        "pycallgraph.*",
+    ])
+    with PyCallGraph(output=GraphvizOutput(output_file='perfTests/serve_httpd_' + str(int(time.time())) + '.png'), config=config):
+        mainCLI(args)
+
+def mainCLI(args):
     if args.cmd=="train":
         train(args.g, args.full)
         exit()