adamwight

diff --git a/templates/CRM/Core/DateRange.tpl b/templates/CRM/Core/DateRange.tpl
index b8219b7..8be0a12 100644
--- a/templates/CRM/Core/DateRange.tpl
+++ b/templates/CRM/Core/DateRange.tpl
@@ -25,8 +25,8 @@
 *}
 {*this is included inside a table row*}
 {assign var=relativeName   value=$fieldName|cat:"_relative"}
-<td>{$form.$relativeName.html}</td>
-<td>

adamwight

create table awight_meta_edit_counts
  select
    u.username,
    left(r.rev_timestamp, 6),
    count(*)
  from metawiki.revision r
  join awight_meta_wmf_accounts u
    on r.rev_user_text=u.username
  group by 1,2;

adamwight

# See https://phabricator.wikimedia.org/T166235

# From https://quarry.wmflabs.org/query/20200
datasets/fiwiki.flaggedrevs_approved_raw.50k_2017.json:
    wget -qO- https://quarry.wmflabs.org/run/192057/output/0/json-lines?download=true > $@

datasets/fiwiki.flaggedrevs_approved.50k_2017.json: \
        datasets/fiwiki.flaggedrevs_approved_raw.50k_2017.json
    python ~/revscoring/revscoring/utilities/normalize.py < $< > $@

adamwight

memuse measures unique physical total memory taken by a process and its children, ignoring duplicate copy-on-write pages and shared memory.

This is a solution for http://serverfault.com/questions/676335/how-measure-memory-without-copy-on-write-pages

It's a quick and dirty utility, but feel free to fork & improve.

Example:

~ » sudo ./memuse.py 15897                                                                                                                         eugene@eugene-thinkpad

PID Commandline Frames (+unique) VMEM

adamwight

Step 0: Set up python virtualenv

virtualenv is a command-line utiltity that will allow you to encapsulate a python environment. Ubuntu calls the package that installs this utility "python-virtualenv". You can install it with $ sudo apt-get install python-virtualenv.

Step 1: Create the virtualenv directory

$ cd ~
$ mkdir venv
$ virtualenv -p python3 --system-site-packages ~/venv

adamwight

# Score cache options
score_caches:
  ores_redis:
    class: ores.score_caches.Redis
    host: null  # Local
    port: 6379  # Default port

scoring_systems:
  defaults:
    metrics_collector: local_logging  # Don't try to connect graphite

adamwight

from pip import pep425tags

print(pep425tags.supported_tags)

adamwight

- ############################# Bengali Wikipedia ##############################
+ ############################# Bengali Wikipedia ################################
?                                                                               ++
- 
  # From https://quarry.wmflabs.org/query/20229
  datasets/bnwiki.sampled_revisions.20k_2017.json:
  	wget -qO- https://quarry.wmflabs.org/run/190661/output/0/json-lines?download=true > $@
  
  datasets/bnwiki.autolabeled_revisions.20k_2017.json: \
  		datasets/bnwiki.sampled_revisions.20k_2017.json

adamwight

amsa@C235:~/editquality$ python differ.py "Japanese Wikipedia"
  
- ########################### Japanese Wikipedia ################################
+ ############################# Japanese Wikipedia ################################
? ++
- 
  # From https://quarry.wmflabs.org/query/9927
  datasets/jawiki.sampled_revisions.40k_2016.json:
  	wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@
  

adamwight

amsa@C235:~/editquality$ python differ.py "Japanese Wikipedia"
  
- ########################### Japanese Wikipedia ################################
+ ############################# Japanese Wikipedia ################################
? ++
- 
  # From https://quarry.wmflabs.org/query/9927
  datasets/jawiki.sampled_revisions.40k_2016.json:
  	wget -qO- https://quarry.wmflabs.org/run/89016/output/0/json-lines?download=true > $@