audiodude

        float getDistance(Location l1, Location l2) {
            short dx = abs(l1.x - l2.x), dy = abs(l1.y - l2.y);
            if(dx > width / 2) dx = width - dx;
            if(dy > height / 2) dy = height - dy;
            return dx + dy;
        }

audiodude

remote: + selected_name=Multipack
remote: + [[ -n /tmp/buildpacks/00_buildpack-multi ]]
remote: + [[ -n Multipack ]]
remote: + title 'Multipack app detected'
----->' Multipack app detected
-----> Multipack app detected == --* ]]
-----> Multipack app detected == ==* ]]
-----> Multipack app detected'
remote: + read line
remote: + cd /tmp/build

audiodude

map $http_upgrade $connection_upgrade {
  default upgrade;
  ''      close;
}

server {
  listen 80;
  listen [::]:80;
  server_name example.com;
  return 301 https://$host$request_uri;

audiodude

class Foo(object):
  bar = [1,2,3]
  
  def __init__(self, idx):
    self.idx = idx
  
  def my_bar(self):
    return self.bar[self.idx]

audiodude

       throw new Error('Ran out of phrases in ' + groups + ' while generating ' + this.__currentSnippet);
        ^

Error: Ran out of phrases in  while generating sentence
    at Improv.selectPhrase (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/index.js:164:15)
    at Improv.__gen (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/index.js:83:31)
    at processDirective (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/template.js:116:12)
    at processDirective (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/template.js:77:47)
    at template (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/template.js:151:24)
    at Improv.__gen (/home/tmoney/code/nanogenmo2017/node_modules/improv/dist/index.js:93:48)

audiodude

               select rev_id 
               from enwiki_p.revision join enwiki_p.page 
               on page_namespace = ? and page_title = ? 
               and rev_page = page_id 
               where rev_timestamp <= ? 
               order by rev_timestamp desc limit 1'

audiodude

 Sweden                                         49334 
 Stations                                       49151 
 Ice_Hockey                                     48609 
 Visual_arts                                    47960 
 Road_transport                                 47654 
 History                                        47532 
 Computing                                      46912 
 Cricket                                        46564 
 Comics                                         45475 
 Medicine                                       44619 

audiodude

Implementatations of Regret Minimization and Counterfactual Regret Minimization in Python.

These are implemented as outlined in An Introduction to Counterfactual Regret Minimization (Neller and Lanctot) (paper here)

rps.py: finds a correlated equilibrium in Rocks-Paper-Scissors, which in this case happens to be the Nash equilibrium. It is very similar to the code found in this YouTube video

kuhn.py: finds a correlated equilibrium in Kuhn Poker which is a toy poker game described in the paper and previously.

kuhn_3.py: finds a correlated equilibrium in 3 player Kuhn Poker, as described in this paper

audiodude

https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Buckinghamshire_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Buffyverse_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canada_Streets_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canada_road_transport_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canadian_cinema_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canadian_law_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canadian_military_history_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canadian_TV_shows_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version_1.0_Editorial_Team/Canadian_communities_articles_by_quality_log
https://en.wikipedia.org/wiki/Wikipedia:Version

audiodude

import xml.etree.ElementTree as Et

tree = Et.ElementTree(file = 'test.xml')
root = tree.getroot()

for child in root:
  for grandchild in child:
    print(grandchild.findall('.//Raw_Material'))