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• get average from set of objects in django

  - by dotty

  Hay, i have a simple rating system for a property. You give it a mark out of 5 (stars). The models are defined like this def Property(models.Model) # stuff here def Rating(models.Model) property = models.ForeignKey(Property) stars = models.IntegerField() What i want to do is get a property, find all the Rating objects, collect them, then get the average 'stars' from them. any ideas how to do this?

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• Calculate rolling / moving average in c or c++

  - by Biohazard

  I know this is achievable with boost as per: Using boost::accumulators, how can I reset a rolling window size, does it keep extra history? But I really would like to avoid using boost. I have googled and not found any suitable or readable examples. Basically I want to track the moving average of an ongoing stream of a stream of floating point numbers using the most recent 1000 numbers as a data sample. What is the easiest way to achieve this?

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• Calculating average (AVG) and grouping by week on large data set takes too long

  - by caioiglesias

  I'm getting average prices by week on 7 million rows, it's taking around 30 seconds to get the job done. This is the simple query: SELECT AVG(price) as price, yearWEEK(FROM_UNIXTIME(timelog)) as week from pricehistory where timelog > $range and product_id = $id GROUP BY week The only week that actually gets data changed and is worth averaging every time is always the last one, so this calculation for the whole period is a waste of resources. I just wanted to know if mysql has a tool to help out on this.

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• How do i find dynamic average for not the 20 input boxes

  - by alpho07

  How do i find dynamic average for not the 20 input boxes with ".num" class but even just five out of 20. I have done it as below but it won't work $.fn.sumValues = function() { var sum = 0; this.each(function() { if ( $(this).is(':input') ) { var val = $(this).val(); } else { var val = $(this).text(); } sum += parseFloat( ('0' + val).replace(/[^0-9-\.]/g, ''), 10 ); }); return sum.toFixed(2); }; $(document).ready(function() { $('input.price').bind('keyup', function() { $('span.total').html( $('input.price').sumValues()/$('.num').length ); }); });

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• PowerPivot, Stocks Exchange and the Moving Average

  - by AlbertoFerrari

  In this post I want to analyze a data model that perform some basic computations over stocks and uses one of the most commonly needed formula there (and in many other business scenarios): a moving average over a specified period in time. Moving averages can be very easily modeled in PowerPivot, but there is the need for some care and, in this post, I try to provide a solid background on how to compute moving averages. In general, a moving average over period T1..T2 is the average of all the values...(read more)

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• What is causing the unusual high load average and IOwait?

  - by James

  I noticed on Tuesday night of last week, the load average went up sharply and it seemed abnormal since the traffic is small. Usually, the numbers usually average around .40 or lower and my server stuff (mysql, php and apache) are optimized. I noticed that the IOWait is unusually high even though the processes is barely using any CPU. top - 01:44:39 up 1 day, 21:13, 1 user, load average: 1.41, 1.09, 0.86 Tasks: 60 total, 1 running, 59 sleeping, 0 stopped, 0 zombie Cpu0 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 0.0%sy, 0.0%ni, 91.5%id, 8.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 331944k used, 716632k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.92 init 1656 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 9323 root 18 0 13652 5212 664 S 0 0.5 0:00.00 apache2 10079 root 18 0 3972 1248 972 S 0 0.1 0:00.00 su 10080 root 15 0 4612 1956 1448 S 0 0.2 0:00.01 bash 11298 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 11778 chikorit 15 0 2344 1092 884 S 0 0.1 0:00.05 top 15384 root 18 0 17544 13m 1568 S 0 1.3 0:02.28 miniserv.pl 15585 root 15 0 8280 2736 2168 S 0 0.3 0:00.02 sshd 15608 chikorit 15 0 8280 1436 860 S 0 0.1 0:00.02 sshd Here is the VMStat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 1 0 0 768644 0 0 0 0 14 23 0 10 1 0 99 0 IOStat - Nothing unusal Total DISK READ: 67.13 K/s | Total DISK WRITE: 0.00 B/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO COMMAND 19496 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19501 be/4 mysql 3.95 K/s 0.00 B/s 0.00 % 0.00 % mysqld 19568 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19569 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19570 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19571 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19573 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 11778 be/4 chikorit 0.00 B/s 0.00 B/s 0.00 % 0.00 % top 19470 be/4 mysql 0.00 B/s 0.00 B/s 0.00 % 0.00 % mysqld Load Average Chart - http://i.stack.imgur.com/kYsD0.png I want to be sure if this is not a MySQL problem before making sure. Also, this is a Ubuntu 10.04 LTS Server on OpenVZ. Edit: This will probably give a good picture on the IO Wait top - 22:12:22 up 17:41, 1 user, load average: 1.10, 1.09, 0.93 Tasks: 33 total, 1 running, 32 sleeping, 0 stopped, 0 zombie Cpu(s): 0.6%us, 0.2%sy, 0.0%ni, 89.0%id, 10.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 260708k used, 787868k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.88 init 5849 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 8063 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 9732 root 16 0 8280 2728 2168 S 0 0.3 0:00.02 sshd 9746 chikorit 18 0 8412 1444 864 S 0 0.1 0:01.10 sshd 9747 chikorit 18 0 4576 1960 1488 S 0 0.2 0:00.24 bash 13706 chikorit 15 0 2344 1088 884 R 0 0.1 0:00.03 top 15745 chikorit 15 0 12968 5108 1280 S 0 0.5 0:00.00 apache2 15751 chikorit 15 0 72184 25m 18m S 0 2.5 0:00.37 php5-fpm 15790 chikorit 18 0 12472 4640 1192 S 0 0.4 0:00.00 apache2 15797 chikorit 15 0 72888 23m 16m S 0 2.3 0:00.06 php5-fpm 16038 root 15 0 67772 2848 592 D 0 0.3 0:00.00 php5-fpm 16309 syslog 18 0 24084 1316 992 S 0 0.1 0:00.07 rsyslogd 16316 root 15 0 5472 908 500 S 0 0.1 0:00.00 sshd 16326 root 15 0 2304 908 712 S 0 0.1 0:00.02 cron 17464 root 15 0 10252 7560 856 D 0 0.7 0:01.88 psad 17466 root 18 0 1684 276 208 S 0 0.0 0:00.31 psadwatchd 17559 root 18 0 11444 2020 732 S 0 0.2 0:00.47 sendmail-mta 17688 root 15 0 10252 5388 1136 S 0 0.5 0:03.81 python 17752 teamspea 19 0 44648 7308 4676 S 0 0.7 1:09.70 ts3server_linux 18098 root 15 0 12336 6380 3032 S 0 0.6 0:00.47 apache2 18099 chikorit 18 0 10368 2536 464 S 0 0.2 0:00.00 apache2 18120 ntp 15 0 4336 1316 984 S 0 0.1 0:00.87 ntpd 18379 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 18387 mysql 15 0 62796 36m 5864 S 0 3.6 1:43.26 mysqld 19584 root 15 0 12336 4028 668 S 0 0.4 0:00.02 apache2 22498 root 16 0 12336 4028 668 S 0 0.4 0:00.00 apache2 24260 root 15 0 67772 3612 1356 S 0 0.3 0:00.22 php5-fpm 27712 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 27730 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30343 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30366 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2

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• Algorithm to find average position

  - by Simran kaur

  In the given diagram, I have the extreme left and right points, that is -2 and 4 in this case. So, obviously, I can calculate the width which is 6 in this case. What we know: The number of partitions:3 in this case The partition number at at any point i.e which one is 1st,second or third partition (numbered starting from left) What I want: The position of the purple line drawn which is positio of average of a particular partition So, basically I just want a generalized formula to calculate position of the average at any point.

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• High Load average threshold in linux

  - by user2481010

  My one of friend said that his server load average sometime goes above 500-1000, for me it is strange value because I never saw load average more than 10. I asked him give me some snapshot of top and memory usages, he gave following details: TOP USAGES top - 06:06:03 up 117 days, 23:02, 2 users, load average: 147.37, 44.57, 15.95 Tasks: 116 total, 2 running, 113 sleeping, 0 stopped, 1 zombie Cpu(s): 16.6%us, 6.9%sy, 0.0%ni, 9.2%id, 66.5%wa, 0.0%hi, 0.8%si, 0.0%st Mem: 8161648k total, 7779528k used, 382120k free, 3296k buffers Swap: 5242872k total, 1293072k used, 3949800k free, 168660k cached Free $ free -gt total used free shared buffers cached Mem: 7 6 1 0 0 4 -/+ buffers/cache: 1 5 Swap: 4 0 4 Total: 12 6 6 Total cpu $ nproc 8 my question is it possible load average more than 100 on 8 core,12 GB mem Server? because I read many tutorial,article on load average, it said that thumb rule is "number of cores = max load" according to thumb rule here is max load average 16 then how his server running with 147.37 load server? he said that it is least value (147.37) some time goes more than 500.

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• is Boost Library's weighted median broken?

  - by user624188

  I confess that I am no expert in C++. I am looking for a fast way to compute weighted median, which Boost seemed to have. But it seems I am not able to make it work. #include <iostream> #include <boost/accumulators/accumulators.hpp> #include <boost/accumulators/statistics/stats.hpp> #include <boost/accumulators/statistics/median.hpp> #include <boost/accumulators/statistics/weighted_median.hpp> using namespace boost::accumulators; int main() { // Define an accumulator set accumulator_set<double, stats<tag::median > > acc1; accumulator_set<double, stats<tag::median >, float> acc2; // push in some data ... acc1(0.1); acc1(0.2); acc1(0.3); acc1(0.4); acc1(0.5); acc1(0.6); acc2(0.1, weight=0.); acc2(0.2, weight=0.); acc2(0.3, weight=0.); acc2(0.4, weight=1.); acc2(0.5, weight=1.); acc2(0.6, weight=1.); // Display the results ... std::cout << " Median: " << median(acc1) << std::endl; std::cout << "Weighted Median: " << median(acc2) << std::endl; return 0; } produces the following output, which is clearly wrong. Median: 0.3 Weighted Median: 0.3 Am I doing something wrong? Any help will be greatly appreciated. * however, the weighted sum works correctly * @glowcoder: The weighted sum works perfectly fine like this. #include <iostream> #include <boost/accumulators/accumulators.hpp> #include <boost/accumulators/statistics/stats.hpp> #include <boost/accumulators/statistics/sum.hpp> #include <boost/accumulators/statistics/weighted_sum.hpp> using namespace boost::accumulators; int main() { // Define an accumulator set accumulator_set<double, stats<tag::sum > > acc1; accumulator_set<double, stats<tag::sum >, float> acc2; // accumulator_set<double, stats<tag::median >, float> acc2; // push in some data ... acc1(0.1); acc1(0.2); acc1(0.3); acc1(0.4); acc1(0.5); acc1(0.6); acc2(0.1, weight=0.); acc2(0.2, weight=0.); acc2(0.3, weight=0.); acc2(0.4, weight=1.); acc2(0.5, weight=1.); acc2(0.6, weight=1.); // Display the results ... std::cout << " Median: " << sum(acc1) << std::endl; std::cout << "Weighted Median: " << sum(acc2) << std::endl; return 0; } and the result is Sum: 2.1 Weighted Sum: 1.5

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• Best way to choose random element from weighted list

  - by Qqwy

  I want to create a simple game. Every so often, a power up should appear. Right now the different kinds of power ups are stored in an array. However, not every power up should appear equally often: For instance, a score multiplier should appear much more often than an extra life. What is the best/fastest way to pick an element at random from a list where some of the elements should be picked more often than others?

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• Desktop Linux: An Average User Success Story

  <b>The ERACC Web Log:</b> "Chuck is my average user desktop Linux success story. He has been so for about six years now. Chuck does not want to go back to Microsoft operating systems as he sees no benefit to that."

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• Recursively determine average value

  - by theva

  I have to calculate an average value of my simulation. The simulation is ongoing and I want (for each iteration) to print the current average value. How do I do that? I tried the code below (in the loop), but I do not think that the right value is calculated... int average = 0; int newValue; // Continuously updated value. if(average == 0) { average = newValue; } average = (average + newValue)/2; I also taught about store each newValue in an array and for each iteration summarize the whole array and do the calculation. However, I don't think that's a good solution, because the loop is an infinity loop so I can't really determine the size of the array. There is also a possibility that I am thinking too much and that the code above is actually correct, but I don't think so...

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• TSQL: Calculate the average of the rolling last 4 weeks

  - by user1917664

  I need your help. Database: SQL SERVER 2008R2 I want to calculte for a year and a week the average of value of the 4 last weeks. I have data a table like that: YEAR WEEKS VALUE 2012 1 3000 2012 2 5000 2012 3 6000 2012 4 7000 2012 5 8000 2012 6 9000 2012 7 1000 2012 8 6000 2012 9 9000 2012 10 4000 And I want that : YEAR WEEKS VALUE 2012 1 ( Average value for week 49, 50, 51, 52 for the year 2011) 2012 2 ( Average value for week 50, 51, 52 for the year 2011 and week 1 for the year 2012) 2012 3 ( Average value for week 51, 52 for the year 2011 and week 1, 2 for the year 2012) 2012 4 ( Average value for week 52 for the year 2011 and week 1, 2, 3 for the year 2012) 2012 5 5250 - ( Average value for week 1, 2, 3 , 4 for the year 2012) 2012 6 6500 - ( Average value for week 2, 3 , 4, 5 for the year 2012) Thank U for your help

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• Learning language is enough to create average applications ?

  - by Freshblood

  Many books teach a programming language. However, knowing a specific language is not the same as knowning application or GUI design nor project layout. So, attempting to make an average application fails after learning a language. It is clear that knowing a language is not enough to make an application. If you agree with what I have said, why doesn't anyone mention this instead of teaching pure language syntax and features? Why books don't mention how to make a better application ?

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• How to get average network load instead of instant

  - by Adam Ryczkowski

  Welcome, I use conky to see network load statistics with sampling every 8 seconds in order to get somewhat more smooth history chart. Unfortunately, all values i get are not average for this 8 second period, but they are sampled from much smaller time span, so charts are the same choppy, as if they were sampled from 1 second or less. Is there any way to get conky (or at least System Monitor) display system properties averaged over specified amount of time, just like Windows' task manager does? I would like to have conky display hard drive usage from iostat, but there will be little use if it, if conky reports instant values not averaged over time.

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• SQL - Query to display average as either "longer than" or "shorter than"

  - by user1840801

  Here are the tables I've created: CREATE TABLE Plane_new (Pnum char(3), Feature varchar2(20), Ptype varchar2(15), primary key (Pnum)); CREATE TABLE Employee_new (eid char(3), ename varchar(10), salary number(7,2), mid char(3), PRIMARY KEY (eid), FOREIGN KEY (mid) REFERENCES Employee_new); CREATE TABLE Pilot_new (eid char(3), Licence char(9), primary key (eid), foreign key (eid) references Employee_new on delete cascade); CREATE TABLE FlightI_new (Fnum char(4), Fdate date, Duration number(2), Pid char(3), Pnum char(3), primary key (Fnum), foreign key (Pid) references Pilot_new (eid), foreign key (Pnum) references Plane_new); And here is the query I must complete: For each flight, display its number, the name of the pilot who implemented the flight and the words ‘Longer than average’ if the flight duration was longer than average or the words ‘Shorter than average’ if the flight duration was shorter than or equal to the average. For the column holding the words ‘Longer than average’ or ‘Shorter than average’ make a header Length. Here is what I've come up with - with no luck! SELECT F.Fnum, E.ename, CASE Length WHEN F.Duration>(SELECT AVG(F.Duration) FROM FlightI_new F) THEN "Longer than average" WHEN F.Duration<=(SELECT AVG(F.Duration) FROM FlightI_new F) THEN 'Shorter than average' END FROM FlightI_new F LEFT OUTER JOIN Employee_new E ON F.Pid=E.eid GROUP BY F.Fnum, E.ename; Where am I going wrong?

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• Cumulative average using data from multiple rows in an excel table

  - by Aaron E

  I am trying to calculate a cumulative average column on a table I'm making in excel. I use the totals row for the ending cumulative average, but I would like to add a column that gives a cumulative average for each row up to that point. So, if I have 3 rows I want each row to have a column giving the average up to that row and then the ending cumulative average in the totals row. Right now I can't figure this out because I'd be having to reference in a formula rows above and below the current row and I'm unsure about how to go about it because it's a table and not just cells. If it was just cells then I know how to do the formula and copy it down each row, but being that the formula I need depends on whether or not a new row in the table is added or not I keep thinking that my formula would be something like: (Completion rate row 1/n) where n is the number of rows up to that point, here row 1, then ((Completion rate row 1 + Completion rate row 2)/n) for row 2 so n=2, and so on for each new row added. Please advise.

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• Average SPA weight [on hold]

  - by Emmanuel Istace

  First, sorry my noobs questions, but I'm mainly Windows Developer and not Web Developer :) I'm developing a single page application with a lot of css & javascript. For now the page is 1.3Mo composed by 5 section. Here are the rounded stats : Document : 10kb Style : 60kb Images : 450 kb (already compressed, include a big gallery thumbnails) Javascript : 700kb - 600kb of "framework" (jquery, jquery-ui, boostrap, modernizer, waypoint, ...) and 100kb of custom js. Fonts : 125kb And the site is not finished yet. (Will include gmap api, and some others...) My questions are : Do you have any statistics about the average weight of an SPA ? As this is the whole website, do you think it's acceptable ? Is lazy load (for images) a solution ? What will be impact for SEO ? Is the "200kb rule" of google still relevant ? Do you know great tools to detect which javascript code is not used during the the exection of a page and then the availability to optimize these 700kb of framework js stuffs ? Can a caching strategy be an answer ? Thank you in advance for you help ! Best regards

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• External drive hanging, load average through the roof

  - by Paul Tomblin

  I have an external USB drive, and I run an hourly rsync to it as a backup. This has been working fine for years. This weekend, I got two new 2Tb internal drives, and decided it was time to re-install Ubuntu from scratch to clear out all the old cruft. About once a day since the re-install, the backup script hangs hard, usually in the "rm -rf" I do before the rsync. By the time I notice the problem, my load average is in the stratosphere and climbing fast (one time, it was over 150), but anything that doesn't touch the drive seems to be running fine. One thing that I find suspicious is that something, I don't know what, is doing a "smartctl" and a "hdparm" command on the USB drive. I'm pretty sure smartctl isn't supposed to run on external drives. I can't figure out what's doing it, either. Here's part of ps auwwfx when it's hung: root 7310 0.0 0.0 4248 352 ? D 20:15 0:00 /sbin/hdparm -C /dev/sdd root 7808 0.0 0.0 17372 1632 ? D 20:15 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 8427 0.0 0.0 4248 356 ? D 20:20 0:00 /sbin/hdparm -C /dev/sdd root 8925 0.0 0.0 17372 1628 ? D 20:20 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 9529 0.0 0.0 4248 356 ? D 20:25 0:00 /sbin/hdparm -C /dev/sdd root 10026 0.0 0.0 17372 1628 ? D 20:25 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 10655 0.0 0.0 4248 356 ? D 20:30 0:00 /sbin/hdparm -C /dev/sdd root 11151 0.0 0.0 17372 1632 ? D 20:30 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 11774 0.0 0.0 4248 356 ? D 20:35 0:00 /sbin/hdparm -C /dev/sdd root 12271 0.0 0.0 17372 1628 ? D 20:35 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 12878 0.0 0.0 4248 352 ? D 20:40 0:00 /sbin/hdparm -C /dev/sdd root 13374 0.0 0.0 17372 1632 ? D 20:40 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 14011 0.0 0.0 4248 352 ? D 20:45 0:00 /sbin/hdparm -C /dev/sdd root 14507 0.0 0.0 17372 1628 ? D 20:45 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 15116 0.0 0.0 4248 352 ? D 20:50 0:00 /sbin/hdparm -C /dev/sdd root 15612 0.0 0.0 17372 1632 ? D 20:50 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 16223 0.0 0.0 4248 352 ? D 20:55 0:00 /sbin/hdparm -C /dev/sdd root 16734 0.0 0.0 17372 1632 ? D 20:55 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 17345 0.0 0.0 4248 352 ? D 21:00 0:00 /sbin/hdparm -C /dev/sdd root 17842 0.0 0.0 17372 1628 ? D 21:00 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 18463 0.0 0.0 4248 352 ? D 21:05 0:00 /sbin/hdparm -C /dev/sdd root 18960 0.0 0.0 17372 1628 ? D 21:05 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 19598 0.0 0.0 4248 356 ? D 21:10 0:00 /sbin/hdparm -C /dev/sdd root 20096 0.0 0.0 17372 1628 ? D 21:10 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 21280 0.0 0.0 4244 356 ? D 21:15 0:00 /sbin/hdparm -C /dev/sdd root 21784 0.0 0.0 17372 1632 ? D 21:15 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 22414 0.0 0.0 4244 356 ? D 21:20 0:00 /sbin/hdparm -C /dev/sdd root 22912 0.0 0.0 17372 1628 ? D 21:20 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 23541 0.0 0.0 4244 356 ? D 21:25 0:00 /sbin/hdparm -C /dev/sdd root 24038 0.0 0.0 17372 1632 ? D 21:25 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd root 24658 0.0 0.0 4244 356 ? D 21:30 0:00 /sbin/hdparm -C /dev/sdd root 25157 0.0 0.0 17372 1628 ? D 21:30 0:00 /usr/sbin/smartctl -a -n standby -A -i /dev/sdd Why is this happening, and how can I stop it?

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• Opinion on LastPass's security for the Average Joe [closed]

  - by Rook

  This is borderline on objective/subjective, but I'm posting it here since I'm more interested in objective facts, without going into too much technical details, than I am in user reviews of LastPass. I've always used offline ways for (password / sensitive data) storage, but lately I keep hearing good things about LastPass. Indeed, it is more practical having it always accessible from every computer you're using without syncing and related problems, but the security aspect still troubles me. How (in a nutshell for dummies) does LastPass keep your data secure / can their employees see your data, and what is your opinion for such storage of more than usual keeping of sensitive data (bank PIN codes, some financial / business related stuff and so on - you know, the things that would practically hurt if lost / phished)? What are your opinions of it, and do you trust it for such? Any bad experiences? If someone for example is sniffing your wifi network, would such data be easier than usual to sniff out?

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• Excel how to get an average for column for rows that meet multiple criteria

  - by Jess

  I would like to know the average days between open and close dates for an item with a close date in a particular month. So from the below example in Jan 2013 items 2,5 and 6 were closed (Closed can be RESOLVED or CANCELLED status), each were open for 26, 9 and 6 days respectivly. So of the jobs that have a closed date in Jan 2013 (between 01/01/2013 and 13/02/13) they have an average open time (between open and close date) of 13.67 days to 2dp. I have tried a few ways to get this to work and i think the issue I am having is with the AVERAGE function. First time using a forum so apologies if my question is unclear. Was unable to post image to have this comma seperated below Item_ID,Open_Date,Status,Close_Date 1,1/06/2012,RESOLVED,16/07/2012 2,20/12/2012,RESOLVED,16/01/2013 3,2/01/2013,IN PROGRESS, 4,3/01/2013,CANCELLED,7/05/2013 5,3/01/2013,RESOLVED,12/01/2013 6,4/01/2013,RESOLVED,10/01/2013 7,1/02/2013,RESOLVED,15/02/2013 8,2/02/2013,OPEN, 9,7/02/2013,CANCELLED,26/02/2013

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• The spork/platypus average: shameless self promotion

  - by Roger Hart

  This is the video of presentation I gave at UA Europe and TCUK this year. The actual sub-title was "Content strategy at Red Gate Software", but this heading feels more honest. For anybody who missed it, or is just vaguely interested, here's a link to me talking about de-suckifying the web. You can find the slideshare deck here, too* Watching it back is more than a little embarrassing, and makes me really, really want to do a follow up, so I can do three things: explain the rest of the big web project, now we've done it give some data on the outcome of the content review make a grovelling apology to our marketing guys, who I've been unfairly mean to in a childish effort to look cool There are a whole bunch of other TCUK presentations online, too. You can find them all here: http://tiny.cc/tcuk10_videos I'd particularly recommend Chris Atherton's: "Everything you always wanted to know about psychology and technical communication" - it's full of cool stuff. You should probably also watch David Black's opening keynote, which managed to make my hour of precocious grandstanding look measured, meek, and helpful. He actually makes some interesting points, but you'd basically have to ship Richard Dawkins off to Utah, if you wanted to go further out of your way to aggravate your audience. It does give an engaging account of running a large tech comms project, and raise some questions about how we propose to understand a world where increasing amounts of our stuff gets done by increasingly many increasingly complicated tissues of APIs. Well, sort of. That's what all the notes I made were about, anyway.   *Slideshare ate my fonts. Just so we're clear on this: I'd never use badly-kerned Arial in a presentation. Don't worry.

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• Insane load average after reboot

  - by Gazzer

  After doing a reboot of Ubuntu server 12.04 LTS (after an apt-get dist-upgrade) my server load (on a 16GB) machine goes insane (around 80) for about 10 or 15 minutes The only things I can think of are these two processes: /usr/bin/mysql --defaults-file=/etc/mysql/debian.cnf --skip-column-names --batch -e ? select concat('select count(*) into @discard from `',? TABLE_SCHEMA, '`.`', TABLE_NAME, '`') ? from information_schema.TABLES where ENGINE='MyISAM' /usr/bin/mysql --defaults-file=/etc/mysql/debian.cnf --skip-column-names --silent --batch --force -e select count(*) into @discard from `information_schema`.`PARTITIONS` Is this normal?

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• Stock Analysis and Moving Average with PowerPivot

  - by Marco Russo (SQLBI)

  One week ago Alberto Ferrari wrote a post about how to do working days calculation in PowerPivot . You might think this is necessary only for accounting department or something like that… but in reality the same techniques are really useful to implement calculations that might be useful when you want to implement some stock analysis using PowerPivot and Excel! As you might know, in PowerPivot it is important having a Dates table containing all the days, without exceptions. But when you manage stock...(read more)

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• average screen ratio

  - by sam

  Im building a portfolio website that uses full screen background images slideshow that are cropped to fit using a js plugin. To give the minimum amount of cropping whats the best ratio to make the images ? ie i know 13" macbooks are around 13:7 (when taking into account about 100px for the browser bar) but does that scale up on 15",24",17" displays ? I know there are charts showing the most common dimensions but they just show a range of sizes and thats categorized by groups rather than actual dimensions

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