Bug fixes for mixed-criticality task systems.

3 files changed, 6 insertions, 8 deletions

diff --git a/parse/ft.py b/parse/ft.py
index 868c8ca..20a430e 100644
--- a/parse/ft.py
+++ b/parse/ft.py
@@ -49,7 +49,7 @@ def extract_ft_data(data_file, result, overheads):
 
     for ovh in overheads:
         measure = Measurement("%s-%s" % (data_file, ovh))
-        vals = re.findall(".*{}".format(ovh) + rstr, data);
+        vals = re.findall(r"\s+{}".format(ovh.replace('_','-')) + rstr, data);
         if len(vals) != 0:
             vals = vals[0]
             measure[Type.Max] = float(vals[0])
diff --git a/parse/point.py b/parse/point.py
index 4343d03..30fcd97 100644
--- a/parse/point.py
+++ b/parse/point.py
@@ -16,7 +16,7 @@ def make_typemap():
     return copy.deepcopy(default_typemap)
 
 def dict_str(adict, sep = "\n"):
-    return sep.join(["%s: %s" % (k, str(v)) for (k,v) in adict.iteritems()])
+    return sep.join(["%s: %s" % (k, str(v)) for (k,v) in sorted(adict.iteritems())])
 
 class Measurement(object):
     def __init__(self, id = None, kv = {}):
diff --git a/parse/sched.py b/parse/sched.py
index 94ab000..5e3ba6b 100644
--- a/parse/sched.py
+++ b/parse/sched.py
@@ -56,22 +56,18 @@ def extract_tardy_vals(data, exp_point):
     max_tards = []
 
     for t in get_tasks(data):
-        reg = r"TARDY.*?" + t.pid + "/(\d+).*?Tot.*?([\d\.]+).*?ms.*([\d\.]+).*?ms.*?([\d\.]+)"
+        reg = r"TARDY.*?" + t.pid + "/(\d+).*?Tot.*?([\d\.]+).*?ms.*?([\d\.]+).*?ms.*?([\d\.]+)"
         matches = re.findall(reg, data)
         if len(matches) != 0:
             jobs = float(matches[0][0])
 
             total_tard = float(matches[0][1])
-            print("total tard: %s" % total_tard)
             avg_tard = (total_tard / jobs) / float(t.config.period)
             max_tard = float(matches[0][2]) / float(t.config.period)
 
-            print("avg tard: %s" % avg_tard)
-
             misses = float(matches[0][3])
             if misses != 0:
                 miss_ratio = (misses / jobs)
-                print("misses is %d, jobs is %d" % (misses, jobs))
             else:
                 miss_ratio = 0
 
@@ -118,6 +114,7 @@ def config_exit_stats(file):
 
     # Dictionary of task exit measurements by pid
     exits = get_task_exits(data)
+
     exit_dict = dict((e.id, e) for e in exits)
 
     # Dictionary where keys are configurations, values are list
@@ -131,7 +128,7 @@ def config_exit_stats(file):
 
         # Replace tasks with corresponding exit stats
         exit_list = [exit_dict[t.pid] for t in task_list]
-        config_dict[config] = exit_list        
+        config_dict[config] = exit_list
 
     return config_dict
 
@@ -153,6 +150,7 @@ def extract_scaling_data(data_file, base_file, result):
     # each group
     max_scales = []
     avg_scales = []
+
     for config in data_stats:
         if len(data_stats[config]) != len(base_stats[config]):
             # Quit, we are missing a record and can't guarantee