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  • Using jQuery Live instead of jQuery Hover function

    - by hajan
    Let’s say we have a case where we need to create mouseover / mouseout functionality for a list which will be dynamically filled with data on client-side. We can use jQuery hover function, which handles the mouseover and mouseout events with two functions. See the following example: <!DOCTYPE html> <html lang="en"> <head id="Head1" runat="server">     <title>jQuery Mouseover / Mouseout Demo</title>     <script type="text/javascript" src="http://ajax.aspnetcdn.com/ajax/jquery/jquery-1.4.4.js"></script>     <style type="text/css">         .hover { color:Red; cursor:pointer;}     </style>     <script type="text/javascript">         $(function () {             $("li").hover(               function () {                   $(this).addClass("hover");               },               function () {                   $(this).removeClass("hover");               });         });     </script> </head> <body>     <form id="form2" runat="server">     <ul>         <li>Data 1</li>         <li>Data 2</li>         <li>Data 3</li>         <li>Data 4</li>         <li>Data 5</li>         <li>Data 6</li>     </ul>     </form> </body> </html> Now, if you have situation where you want to add new data dynamically... Lets say you have a button to add new item in the list. Add the following code right bellow the </ul> tag <input type="text" id="txtItem" /> <input type="button" id="addNewItem" value="Add New Item" /> And add the following button click functionality: //button add new item functionality $("#addNewItem").click(function (event) {     event.preventDefault();     $("<li>" + $("#txtItem").val() + "</li>").appendTo("ul"); }); The mouse over effect won't work for the newly added items. Therefore, we need to use live or delegate function. These both do the same job. The main difference is that for some cases delegate is considered a bit faster, and can be used in chaining. In our case, we can use both. I will use live function. $("li").live("mouseover mouseout",   function (event) {       if (event.type == "mouseover") $(this).addClass("hover");       else $(this).removeClass("hover");   }); The complete code is: <!DOCTYPE html> <html lang="en"> <head id="Head1" runat="server">     <title>jQuery Mouseover / Mouseout Demo</title>     <script type="text/javascript" src="http://ajax.aspnetcdn.com/ajax/jquery/jquery-1.4.4.js"></script>     <style type="text/css">         .hover { color:Red; cursor:pointer;}     </style>     <script type="text/javascript">         $(function () {             $("li").live("mouseover mouseout",               function (event) {                   if (event.type == "mouseover") $(this).addClass("hover");                   else $(this).removeClass("hover");               });             //button add new item functionality             $("#addNewItem").click(function (event) {                 event.preventDefault();                 $("<li>" + $("#txtItem").val() + "</li>").appendTo("ul");             });         });     </script> </head> <body>     <form id="form2" runat="server">     <ul>         <li>Data 1</li>         <li>Data 2</li>         <li>Data 3</li>         <li>Data 4</li>         <li>Data 5</li>         <li>Data 6</li>     </ul>          <input type="text" id="txtItem" />     <input type="button" id="addNewItem" value="Add New Item" />     </form> </body> </html> So, basically when replacing hover with live, you see we use the mouseover and mouseout names for both events. Check the working demo which is available HERE. Hope this was useful blog for you. Hope it’s helpful. HajanReference blog: http://codeasp.net/blogs/hajan/microsoft-net/1260/using-jquery-live-instead-of-jquery-hover-function

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  • Fortran 90 How to call a function in a subroutine in a module?

    - by Feynman
    I have a module that "contains" a subroutine that "contains" a function. I say "use themodule" in my main program and I can "call thesubroutine", but how to I get the function that is "contained" in the subroutine? The code looks like this: module useful integer, parameter :: N=2 double precision, parameter :: xmin=1, xmax=10, pi=3.1415926535898 double complex :: green(N,N), solution(N), k=(2.0,0.0) contains subroutine y(n1) contains function x(n1) real :: n1, x x=n1*(xmax-xmin)/N end function x end subroutine y end module useful

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  • Linq Query with aggregate function

    - by Billy Logan
    Hello everyone, I am trying to figure out how to go about writing a linq query to perform an aggregate like the sql query below: select d.ID, d.FIRST_NAME, d.LAST_NAME, count(s.id) as design_count from tbldesigner d inner join TBLDESIGN s on d.ID = s.DESIGNER_ID where s.COMPLETED = 1 and d.ACTIVE = 1 group by d.ID, d.FIRST_NAME, d.LAST_NAME Having COUNT(s.id) > 0 If this is even possible with a linq query could somebody please provide me with an example. Thanks in Advance, Billy

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  • NHibernate: Select entire entity plus aggregate columns

    - by cbp
    I want to return an entire entity, along with some aggregate columns. In SQL I would use an inner select, something like this: SELECT TOP 10 f.*, inner_query.[average xxx] FROM ( SELECT f.Id, AVG(fb.xxx) AS [average xxx] FROM foobar fb INNER JOIN foo f ON f.FoobarId = fb.Id ) AS inner_query INNER JOIN foo f ON f.Id = inner_query.Id Is this possible with CreateCriteria?

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  • Mathematica: get number of arguments passed to a function?

    - by dbjohn
    How do I get the number of arguments passed to a function, such as Plus[2,3,4,5] has 4 arguments passed to it. I was thinking it may involve the use of the function Length and getting the arguments into a list. The intention is to iterate an operation based on the number of arguments for a function. There is probably a simple solution or function but I haven't come across it yet. Any other ways or suggestions are welcome as well?

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  • Django Include Aggregate Sums of Zero

    - by tomas
    I'm working on a Django timesheet application and am having trouble figuring out how to include aggregate sums that equal zero. If I do something like: entries = TimeEntry.objects.all().values("user__username").annotate(Sum("hours")) I get all users that have time entries and their sums. [{'username': u'bob' 'hours__sum':49}, {'username': u'jane' 'hours__sum':10}] When I filter that by a given day: filtered_entries = entries.filter(date="2010-05-17") Anyone who didn't enter time for that day is excluded. Is there a way to include those users who's sums are 0? Thanks

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  • How does Sentry aggregate errors?

    - by Hugo Rodger-Brown
    I am using Sentry (in a django project), and I'd like to know how I can get the errors to aggregate properly. I am logging certain user actions as errors, so there is no underlying system exception, and am using the culprit attribute to set a friendly error name. The message is templated, and contains a common message ("User 'x' was unable to perform action because 'y'"), but is never exactly the same (different users, different conditions). Sentry clearly uses some set of attributes under the hood to determine whether to aggregate errors as the same exception, but despite having looked through the code, I can't work out how. Can anyone short-cut my having to dig further into the code and tell me what properties I need to set in order to manage aggregation as I would like? [UPDATE 1: event grouping] This line appears in sentry.models.Group: class Group(MessageBase): """ Aggregated message which summarizes a set of Events. """ ... class Meta: unique_together = (('project', 'logger', 'culprit', 'checksum'),) ... Which makes sense - project, logger and culprit I am setting at the moment - the problem is checksum. I will investigate further, however 'checksum' suggests that binary equivalence, which is never going to work - it must be possible to group instances of the same exception, with differenct attributes? [UPDATE 2: event checksums] The event checksum comes from the sentry.manager.get_checksum_from_event method: def get_checksum_from_event(event): for interface in event.interfaces.itervalues(): result = interface.get_hash() if result: hash = hashlib.md5() for r in result: hash.update(to_string(r)) return hash.hexdigest() return hashlib.md5(to_string(event.message)).hexdigest() Next stop - where do the event interfaces come from? [UPDATE 3: event interfaces] I have worked out that interfaces refer to the standard mechanism for describing data passed into sentry events, and that I am using the standard sentry.interfaces.Message and sentry.interfaces.User interfaces. Both of these will contain different data depending on the exception instance - and so a checksum will never match. Is there any way that I can exclude these from the checksum calculation? (Or at least the User interface value, as that has to be different - the Message interface value I could standardise.) [UPDATE 4: solution] Here are the two get_hash functions for the Message and User interfaces respectively: # sentry.interfaces.Message def get_hash(self): return [self.message] # sentry.interfaces.User def get_hash(self): return [] Looking at these two, only the Message.get_hash interface will return a value that is picked up by the get_checksum_for_event method, and so this is the one that will be returned (hashed etc.) The net effect of this is that the the checksum is evaluated on the message alone - which in theory means that I can standardise the message and keep the user definition unique. I've answered my own question here, but hopefully my investigation is of use to others having the same problem. (As an aside, I've also submitted a pull request against the Sentry documentation as part of this ;-)) (Note to anyone using / extending Sentry with custom interfaces - if you want to avoid your interface being use to group exceptions, return an empty list.)

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  • computed column with aggregate function

    - by Kindson
    I have seven columns in my table: hours, weight, status, total_hours, total_weight and percentage total_weight = weight where status = 'X' total_hours = hours where status = 'X' percentage = total_hours/sum(weight) sum(weight) is an aggregate function I would like to specify formula to generate the three computed columns. What do i do?

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  • joining two tables and getting aggregate data

    - by alex
    how do i write a query that returns aggregate sales data for California in the past x months. ----------------------- ----------------------- | order | | customer | |-----------------------| |-----------------------| | orderId int | | customerId int | | customerId int | | state varchar | | deposit decimal | ----------------------- | orderDate date | ----------------------- ----------------------- | orderItem | |-----------------------| | orderId int | | itemId int | | qty int | | lineTotal decimal | | itemPrice decimal | -----------------------

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  • Confused about distinct/aggregate queries with (N)Hibernate

    - by nw
    I'm not sure how to approach queries that don't map 1:1 to my persistent entities - in other words, distinct and aggregate queries. For example, I need to retrieve a distinct list of property values for populating a drop-down list. Should I write a class and a mapping for the "entities" that are returned by this query? Or should I just use the native DB provider and work with native data sets instead?

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  • SQL SERVER – 2012 – Summary of All the Analytic Functions – MSDN and SQLAuthority

    - by pinaldave
    SQL Server 2012 (RC0 Available here) has introduced new analytic functions. These functions were long awaited and I am glad that they are here. Previously when any of this function was needed people use to write long T-SQL code to simulate that and now no need of the same. Having available native function also helps performance as well readability. In last few days I have written many articles on this subject on my blog. The goal was make these complex analytic functions easy to understand and make it widely accepted. As this new functions are available and as awareness spreads we should start using the new functions. Here is the quick list of the new function and relevant MSDN site. Function SQLAuthority MSDN CUME_DIST CUME_DIST CUME_DIST FIRST_VALUE FIRST_VALUE FIRST_VALUE LAST_VALUE LAST_VALUE LAST_VALUE LEAD LEAD LEAD LAG LAG LAG PERCENTILE_CONT PERCENTILE_CONT PERCENTILE_CONT PERCENTILE_DISC PERCENTILE_DISC PERCENTILE_DISC PERCENT_RANK PERCENT_RANK PERCENT_RANK I also enjoyed three different puzzles during the course of this series which gave clear idea to the SQL Server 2012 analytic functions. SQL SERVER – Puzzle to Win Print Book – Functions FIRST_VALUE and LAST_VALUE with OVER clause and ORDER BY SQL SERVER – Puzzle to Win Print Book – Write T-SQL Self Join Without Using LEAD and LAG SQL SERVER – Puzzle to Win Print Book – Explain Value of PERCENTILE_CONT() Using Simple Example This series will be always my dear series as during this series I had went through very unique experience of my book going out of stock and becoming available after 48 hours. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Introduction to CUME_DIST – Analytic Functions Introduced in SQL Server 2012

    - by pinaldave
    This blog post is written in response to the T-SQL Tuesday post of Prox ‘n’ Funx. This is a very interesting subject. By the way Brad Schulz is my favorite guy when it is about blogging. I respect him as well learn a lot from him. Everybody is writing something new his subject, I decided to start SQL Server 2012 analytic functions series. SQL Server 2012 introduces new analytical function CUME_DIST(). This function provides cumulative distribution value. It will be very difficult to explain this in words so I will attempt small example to explain you this function. Instead of creating new table, I will be using AdventureWorks sample database as most of the developer uses that for experiment. Let us fun following query. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, CUME_DIST() OVER(ORDER BY SalesOrderID) AS CDist FROM Sales.SalesOrderDetail WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY CDist DESC GO Above query will give us following result. Now let us understand what is the formula behind CUME_DIST and why the values in SalesOrderID = 43670 are 1. Let us take more example and be clear about why the values in SalesOrderID = 43667 are 0.5. Now let us enhence the same example and use PARTITION BY into the OVER clause and see the results. Run following query in SQL Server 2012. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, ProductID, CUME_DIST() OVER(PARTITION BY SalesOrderID ORDER BY ProductID ) AS CDist FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID DESC, CDist DESC GO Now let us see the result of this query. We are have changed the ORDER BY clause as well partitioning by SalesOrderID. You can see that CUME_DIST() function provides us different results. Additionally now we see value 1 multiple times. As we are using partitioning for each group of SalesOrderID we get the CUME_DIST() value. CUME_DIST() was long awaited Analytical function and I am glad to see it in SQL Server 2012. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Have loaded a php variable into flash but cant apply it in a function...

    - by Paul Elliot
    hi I have created an actionscript function which stops an animation on a specific frame which works fine. I have then loaded in a php file with a variable which will contain the number for the frame i want the animation to stop on. This has loaded in fine and i have loaded it in a function. what i cant seem to do is to get the variable into the function which tells the animation to stop playing. here is my code: //load variables varReceiver = new LoadVars(); // create an object to store the variables varReceiver.load("http://playground.nsdesign6.net/percentage/external.php"); //load variables //function1 varReceiver.onLoad = function() { //value is the var that is created. var paul = this.percentage; } //function1 //function2 this.onEnterFrame = function() { if(this._currentframe==(percentage)) { this.stop(); this.onEnterFrame = undefined; } } play(); //function2 cheers paul

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  • What's the most efficient query?

    - by Aaron Carlino
    I have a table named Projects that has the following relationships: has many Contributions has many Payments In my result set, I need the following aggregate values: Number of unique contributors (DonorID on the Contribution table) Total contributed (SUM of Amount on Contribution table) Total paid (SUM of PaymentAmount on Payment table) Because there are so many aggregate functions and multiple joins, it gets messy do use standard aggregate functions the the GROUP BY clause. I also need the ability to sort and filter these fields. So I've come up with two options: Using subqueries: SELECT Project.ID AS PROJECT_ID, (SELECT SUM(PaymentAmount) FROM Payment WHERE ProjectID = PROJECT_ID) AS TotalPaidBack, (SELECT COUNT(DISTINCT DonorID) FROM Contribution WHERE RecipientID = PROJECT_ID) AS ContributorCount, (SELECT SUM(Amount) FROM Contribution WHERE RecipientID = PROJECT_ID) AS TotalReceived FROM Project; Using a temporary table: DROP TABLE IF EXISTS Project_Temp; CREATE TEMPORARY TABLE Project_Temp (project_id INT NOT NULL, total_payments INT, total_donors INT, total_received INT, PRIMARY KEY(project_id)) ENGINE=MEMORY; INSERT INTO Project_Temp (project_id,total_payments) SELECT `Project`.ID, IFNULL(SUM(PaymentAmount),0) FROM `Project` LEFT JOIN `Payment` ON ProjectID = `Project`.ID GROUP BY 1; INSERT INTO Project_Temp (project_id,total_donors,total_received) SELECT `Project`.ID, IFNULL(COUNT(DISTINCT DonorID),0), IFNULL(SUM(Amount),0) FROM `Project` LEFT JOIN `Contribution` ON RecipientID = `Project`.ID GROUP BY 1 ON DUPLICATE KEY UPDATE total_donors = VALUES(total_donors), total_received = VALUES(total_received); SELECT * FROM Project_Temp; Tests for both are pretty comparable, in the 0.7 - 0.8 seconds range with 1,000 rows. But I'm really concerned about scalability, and I don't want to have to re-engineer everything as my tables grow. What's the best approach?

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  • Delay function from running for n seconds then run it once. (2minute question)

    - by Ozaki
    TLDR I have a function that runs on the end of a pan in an openlayers map. Don't want it to fire continously. I have a function that runs on the end of panning a map. I want it so that it will not fire the function until say 3 secconds after the pan has finished. Although I don't want to queue up the function to fire 10 or so times like setTimeout is currently doing. How can I delay a function from running for n seconds then run it only once no matter how many times it has been called?

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  • When to alter a function vs when to just write a new one...?

    - by Andrew Heath
    /is n00b Through the gift of knowledge and expertise encoded here, I am doing my best to avoid n00b mistakes as I learn the basics of programming. I use functions when I (think I) can in PHP, and keep them somewhat sorted in different includes. The n00b problem I'm running into now is situations where perhaps 4/5th of an existing function is relevant to a new need. Maybe there are a slightly different set of inputs, or an additional calculation or two in the series, or output needs a different format/structure... but the core of the function is still applicable. Is there a good rule of thumb regarding when one should bolt-on crap to an original function and when one should (literally) copy & paste most of it into a new function and tweak to fit the situation? On the one hand I feel bad duping code, on the other I feel bad cluttering up an existing function with stuff not always needed...

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  • Using reshape + cast to aggregate over multiple columns

    - by DamonJW
    In R, I have a data frame with columns for Seat (factor), Party (factor) and Votes (numeric). I want to create a summary data frame with columns for Seat, Winning party, and Vote share. For example, from the data frame df <- data.frame(party=rep(c('Lab','C','LD'),times=4), votes=c(1,12,2,11,3,10,4,9,5,8,6,15), seat=rep(c('A','B','C','D'),each=3)) I want to get the output seat winner voteshare 1 A C 0.8000000 2 B Lab 0.4583333 3 C C 0.5000000 4 D LD 0.5172414 I can figure out how to achieve this. But I'm sure there must be a better way, probably a cunning one-liner using Hadley Wickham's reshape package. Any suggestions? For what it's worth, my solution uses a function from my package djwutils_2.10.zip and is invoked as follows. But there are all sorts of special cases it doesn't deal with, so I'd rather rely on someone else's code. aggregateList(df, by=list(seat=seat), FUN=list(winner=function(x) x$party[which.max(x$votes)], voteshare=function(x) max(x$votes)/sum(x$votes)))

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  • How to execute a function called many times, only once !

    - by Roesone
    Hello, is there a way to execute a function that is called thousand of times only once ? I have a function that adds items in a container of sort, and there is code in there, that updates lists and other windows (GUI staff). So, if i have to add a million items (the number of which is impossible to tell, anyone could call the function from anywhere), the GUI update mechanism will be called as many as times... Is there a way to tell appart continuous function execution (and ignore it) from discontinuous ? Is there a safe way to execute the update mechanism only the last time the add-item function is called, within a time interval ? Thank you.

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