BF: when setting attrs to numpy arrays > 2x2 don't log the full value

It turns out that repr() on numpy arrays is slow if even slightly bigger
(probably as numpy tries to find a readable way to format it). To
prvent slow logging we now just log that a change occurred without logging
the (slow) new value.

See discussion here: https://discourse.psychopy.org/t/elementarray-xys-update-takes-16-ms/6725

Author: peircej

psychopy/tools/attributetools.py

@@ -154,8 +154,15 @@ def logAttrib(obj, log, attrib, value=None):
         if value is None:
             value = getattr(obj, attrib)
 
-        # Log on next flip
-        message = "%s: %s = %s" % (obj.name, attrib, value.__repr__())
+        # for numpy arrays bigger than 2x2 repr is slow (up to 1ms) so just
+        # say it was an array
+        if isinstance(value, numpy.ndarray) \
+                and (value.ndim > 2 or len(value) > 2):
+            valStr = repr(type(value))
+        else:
+            valStr = value.__repr__()
+        message = "%s: %s = %s" % (obj.name, attrib, valStr)
+
         try:
             obj.win.logOnFlip(message, level=logging.EXP, obj=obj)
         except AttributeError: