[Spambayes-checkins] SF.net SVN: spambayes:[3208] trunk/spambayes/testtools
montanaro at users.sourceforge.net
montanaro at users.sourceforge.net
Tue Nov 25 04:39:02 CET 2008
Revision: 3208
http://spambayes.svn.sourceforge.net/spambayes/?rev=3208&view=rev
Author: montanaro
Date: 2008-11-25 03:39:02 +0000 (Tue, 25 Nov 2008)
Log Message:
-----------
pylint nits
Modified Paths:
--------------
trunk/spambayes/testtools/es2hs.py
trunk/spambayes/testtools/incremental.py
Modified: trunk/spambayes/testtools/es2hs.py
===================================================================
--- trunk/spambayes/testtools/es2hs.py 2008-11-25 03:37:57 UTC (rev 3207)
+++ trunk/spambayes/testtools/es2hs.py 2008-11-25 03:39:02 UTC (rev 3208)
@@ -43,8 +43,6 @@
def main():
"""Main program; parse options and go."""
- global loud
-
everything = None
spam = []
@@ -71,7 +69,8 @@
spamsizes = {}
for s in spam:
- if loud: print "Scanning spamdir (%s):" % s
+ if loud:
+ print "Scanning spamdir (%s):" % s
files = os.listdir(s)
for f in files:
if f[0] in ('1', '2', '3', '4', '5', '6', '7', '8', '9'):
@@ -85,7 +84,8 @@
os.makedirs(spamdir)
os.makedirs(hamdir)
- if loud: print "Scanning everything"
+ if loud:
+ print "Scanning everything"
for f in os.listdir(everything):
if f[0] in ('1', '2', '3', '4', '5', '6', '7', '8', '9'):
name = os.path.join(everything, f)
Modified: trunk/spambayes/testtools/incremental.py
===================================================================
--- trunk/spambayes/testtools/incremental.py 2008-11-25 03:37:57 UTC (rev 3207)
+++ trunk/spambayes/testtools/incremental.py 2008-11-25 03:39:02 UTC (rev 3208)
@@ -30,7 +30,7 @@
from spambayes import msgs
import email
from email import Message
-import regimes
+from testtools import regimes
try:
True, False
@@ -76,10 +76,10 @@
# The number of test instances correctly and incorrectly classified.
self.nham_right = 0
self.nham_wrong = 0
- self.nham_unsure = 0;
+ self.nham_unsure = 0
self.nspam_right = 0
self.nspam_wrong = 0
- self.nspam_unsure = 0;
+ self.nspam_unsure = 0
# Lists of bad predictions.
self.ham_wrong_examples = [] # False positives: ham called spam.
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