more detailed wx._core module inspection as a script. This makes it possible to compare different Jedi commits in speed and memory efficiency

scripts/wx_check.py

@@ -0,0 +1,46 @@
+#! /usr/bin/env python
+"""
+Depends: ``objgraph`` (third party Python library)
+
+``wx._core`` is a very nice module to test Jedi's speed and memory performance
+on big Python modules. Its size is ~16kLOC (one file). It also seems to look
+like a typical big Python modules. A mix between a lot of different Python
+things.
+
+You can view a markup version of it here:
+http://svn.wxwidgets.org/viewvc/wx/wxPython/trunk/src/gtk/_core.py?view=markup
+"""
+
+import resource
+import time
+import sys
+import urllib2
+from os.path import abspath, dirname
+
+import objgraph
+
+sys.path.insert(0, dirname(dirname(abspath(__file__))))
+import jedi
+
+
+def process_memory():
+    """
+    In kB according to
+    http://stackoverflow.com/questions/938733/total-memory-used-by-python-process
+    """
+    return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
+
+uri = 'http://svn.wxwidgets.org/viewvc/wx/wxPython/trunk/src/gtk/_core.py?revision=74740&content-type=text%2Fplain&view=co'
+
+wx_core = urllib2.urlopen(uri).read()
+
+start = time.time()
+print('Process Memory before: %skB' % process_memory())
+# After this the module should be cached.
+# Need to invent a path so that it's really cached.
+jedi.Script(wx_core, path='foobar.py').completions()
+
+print('Process Memory after: %skB' % process_memory())
+
+print(objgraph.most_common_types(limit=50))
+print('\nIt took %s seconds to parse the file.' % (time.time() - start))