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Posted to commits@kibble.apache.org by hu...@apache.org on 2017/12/07 11:57:23 UTC

[kibble] branch master updated: we now have 10 potential mood types, it depends..

This is an automated email from the ASF dual-hosted git repository.

humbedooh pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/kibble.git


The following commit(s) were added to refs/heads/master by this push:
     new 77e2524  we now have 10 potential mood types, it depends..
77e2524 is described below

commit 77e2524a8916a59f34db3128f1192bcaa2e13ca0
Author: Daniel Gruno <hu...@apache.org>
AuthorDate: Thu Dec 7 12:57:12 2017 +0100

    we now have 10 potential mood types, it depends..
---
 api/pages/mail/mood.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api/pages/mail/mood.py b/api/pages/mail/mood.py
index 5f5332a..706f3fc 100644
--- a/api/pages/mail/mood.py
+++ b/api/pages/mail/mood.py
@@ -179,12 +179,12 @@ def run(API, environ, indata, session):
     
     global_mood_compiled = {}
     mood_compiled = {}
-    txt = "This chart shows the seven mood types as they average on the emails in this period. A score of 100 means a sentiment is highly visible in most emails."
+    txt = "This chart shows the ten potential mood types as they average on the emails in this period. A score of 100 means a sentiment is highly visible in most emails."
     gtxt = "This shows the overall estimated mood as a gauge from terrible to good."
     # If we're comparing against all lists, first do a global query
     # and compile moods overall
     if indata.get('relative'):
-        txt = "This chart shows the seven mood types on the selected lists as they compare against all mailing lists in the database. A score of 100 here means the sentiment conforms to averages across all lists."
+        txt = "This chart shows the ten potential mood types on the selected lists as they compare against all mailing lists in the database. A score of 100 here means the sentiment conforms to averages across all lists."
         gtxt = "This shows the overall estimated mood compared to all lists, as a gauge from terrible to good."
         global_moods = {}
         

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