5 files changed, 12 insertions, 9 deletions

diff --git a/parse/dir_map.py b/parse/dir_map.py
index a8d2a83..231d21a 100644
--- a/parse/dir_map.py
+++ b/parse/dir_map.py
@@ -96,7 +96,10 @@ class DirMap(object):
                     return
 
                 with open(path, 'rb') as f:
-                    data = np.loadtxt(f, delimiter=",")
+                    try:
+                        data = np.loadtxt(f, delimiter=",")
+                    except Exception as e:
+                        raise IOError("Cannot load '%s': %s" % (path, e.message))
 
                 # Convert to tuples of ints if possible, else floats
                 values = [map(lambda a:a if a%1 else int(a), t) for t in data]
diff --git a/parse/ft.py b/parse/ft.py
index 98405f4..1f05323 100644
--- a/parse/ft.py
+++ b/parse/ft.py
@@ -71,7 +71,6 @@ def extract_ft_data(result, data_dir, work_dir, cycles):
 
     bin_file = "{}/{}".format(data_dir, bins[0])
     if not os.path.getsize(bin_file):
-        sys.stderr.write("Empty feather trace file %s!" % bin_file)
         return False
 
     with open("%s/%s" % (work_dir, FT_ERR_NAME), 'w') as err_file:
diff --git a/parse/point.py b/parse/point.py
index f2b266a..ac47c70 100644
--- a/parse/point.py
+++ b/parse/point.py
@@ -8,8 +8,8 @@ from enum import Enum
 from collections import defaultdict
 
 Type = Enum(['Min','Max','Avg','Var'])
-default_typemap = {Type.Max : {Type.Max : 1, Type.Min : 1, Type.Avg : 1, Type.Var : 1},
-                   Type.Min : {Type.Max : 1, Type.Min : 1, Type.Avg : 1, Type.Var : 1},
+default_typemap = {Type.Max : {Type.Max : 1, Type.Min : 0, Type.Avg : 0, Type.Var : 0},
+                   Type.Min : {Type.Max : 0, Type.Min : 1, Type.Avg : 0, Type.Var : 0},
                    Type.Avg : {Type.Max : 1, Type.Min : 1, Type.Avg : 1, Type.Var : 1}}
 
 def make_typemap():
diff --git a/parse/sched.py b/parse/sched.py
index 147a2e5..1213f0d 100644
--- a/parse/sched.py
+++ b/parse/sched.py
@@ -68,7 +68,7 @@ def make_iterator(fname):
     '''Iterate over (parsed record, processing method) in a
     sched-trace file.'''
     if not os.path.getsize(fname):
-        sys.stderr.write("Empty sched_trace file %s!" % fname)
+        # Likely a release master CPU
         return
 
     f = open(fname, 'rb')
@@ -176,6 +176,10 @@ def extract_sched_data(result, data_dir, work_dir):
 
     # Group per-task values
     for tdata in task_dict.itervalues():
+        if not tdata.params:
+            # Currently unknown where these invalid tasks come from...
+            continue
+
         miss_ratio = float(tdata.misses.num) / tdata.jobs
         # Scale average down to account for jobs with 0 tardiness
         avg_tard = tdata.misses.avg * miss_ratio
diff --git a/parse/tuple_table.py b/parse/tuple_table.py
index 491ea7b..47fb6b6 100644
--- a/parse/tuple_table.py
+++ b/parse/tuple_table.py
@@ -78,7 +78,7 @@ class ReducedTupleTable(TupleTable):
                 val = kv[col]
 
                 try:
-                    float(val)
+                    float(str(val))
                 except:
                     # Only vary numbers. Otherwise, just have seperate files
                     continue
@@ -93,9 +93,6 @@ class ReducedTupleTable(TupleTable):
         Leaf = namedtuple('Leaf', ['stat', 'variable', 'base',
                                    'summary', 'config', 'values'])
 
-        def next_type(path):
-            return path.pop() if path[-1] in Type else Type.Avg
-
         def leafs():
             for path, node in dir_map.leafs():
                 # The path will be of at least size 1: the filename