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(defn map-flatten
  ([m] (map-flatten m [] []))
  ([todo keys collection]
   (if (empty? todo)
    collection
    (let [[k v] (first todo)]
      (if (map? v)
        (concat (map-flatten v
                             (conj keys k)
                             collection)

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java.lang.NullPointerException
	at com.soundcloud.insights.sifted.EventLogs.encode(EventLogs.java:78)
	at com.soundcloud.insights.sifted.Sift$Map.map(Sift.java:40)
	at com.soundcloud.insights.sifted.Sift$Map.map(Sift.java:23)
	at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:140)
	at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:672)
	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
	at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Unknown Source)

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Scistoric!
 
To add the detect bookmarklet, drag this to your bookmark bar:
 
<a href="
javascript:(function () {
    var newScript = document.createElement('script');
    newScript.src = 'http://localhost:4000/scistoric.user.js';
    document.body.appendChild(newScript);
 }());

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To add the detect bookmarklet, drag this to your bookmark bar:
 
<a href="
javascript:(function () {
window.location='http://api.soundcloud.com/resolve.json?url=' + document.location.href + '&client_id=b45b1aa10f1ac2941910a7f0d10f8e28';
 }());
 ">SoundInfo</a> &lt;----
<br><br>
Then click on it, when you are on a page you want to diagnose.

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javascript:window.location='http://api.soundcloud.com/resolve.json?url=' + document.location.href + '&client_id=b45b1aa10f1ac2941910a7f0d10f8e28';

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SomeGraph

Look at all the details and how they work

• It has an x axis
• It has a y axis

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SomeGraph

Look at all the details and how they work

IT WORKS REALLY WEELL

• It has an x axis
• It has a y axis

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SomeGraph

Look at all the details and how they work

• It has an x axis
• It has a y axis

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I'm going to pause after every step of this process, and explain what I've done. I hope that is sufficiently annoying for you.
enter to continue
So, first we'll get a list of every player in the NBA and their respective positions off of a list on yahoo sports:
http://sports.yahoo.com/nba/players?type=position&c=NBA&pos=

This will be the data we will work from.
enter to continue
Traceback (most recent call last):
  File "run_me.py", line 9, in <module>
    scrapenames.scrape('namelist.txt')

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(defn parallel-test []
  (let [tapA (delivery/tap "2012-04-30-00" "2012-04-30-00")
        tapB (delivery/tap "2012-04-30-01" "2012-04-30-01")]
    (with-job-conf {"mapred.reduce.tasks" 20
                    "mapred.map.tasks" 20}
    ;(with-debug
    (?- (stdout)
        ;(println tapB)
        (union
          (clicks (delivery/events tapA "CLICK"))