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  • I need to pad IP addresses with Zeroes for each octet

    - by Felipe Alvarez
    Starting with a string of an unspecified length, I need to make it exactly 43 characters long (front-padded with zeroes). It is going to contain IP addresses and port numbers. Something like: ### BEFORE # Unfortunately includes ':' colon 66.35.205.123.80-137.30.123.78.52172: ### AFTER # Colon removed. # Digits padded to three (3) and five (5) # characters (for IP address and port numbers, respectively) 066.035.05.123.00080-137.030.123.078.52172 This is similar to the output produced by tcpflow. Programming in Bash. I can provide copy of script if required. If it's at all possible, it would be nice to use a bash built-in, for speed. Is printf suitable for this type of thing?

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  • sloving Algorithm notation

    - by neednewname
    Use big-O notation to classify the traditional grade school algorithms for addition and multiplication. That is, if asked to add two numbers each having N digits, how many individual additions must be performed? If asked to multiply two N-digit numbers, how many individual multiplications are required Suppose f is a function that returns the result of reversing the string of symbols given as its input, and g is a function that returns the concatenation of the two strings given as its input. If x is the string hrwa, what is returned by g(f(x),x)? Explain your answer - don't just provide the result!

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  • Replacing elements within a string in R

    - by Maureen
    Hi, I have a row in a data frame in R that is made up of sequences of undetermined length of 0s 1s and 2s as characters. So "01", "010", "201", "102", "00012"... things like this. I'd like to find a way to determine if the last character in the string is NUMERICALLY the largest. It's important that I keep the row in the data frame as characters for other purposes. So basically I want to take substr(x, nchar(x), nchar(x)) and determine if it, as a number, is the largest of the numbers in the character string. I'm super lost as to how to do this, since I'm not all that familiar with regular expressions and I have to back and forth between treating elements as characters and numbers. Thanks in advance. ~Maureen

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  • C# Array number sorting

    - by athgap
    Hi, I have an array of numbers jumbled up from 0-9. How do I sort them in ascending order? Array.Sort doesn't work for me. Is there another way to do it? Thanks in advance. EDIT: Array.Sort gives me this error. Argument 1: cannot convert from 'string' to 'System.Array' Right now it gives me this output: 0) VersionInfo.xml 2) luizafroes_singapore2951478702.xml 3) virua837890738.xml 4) darkwizar9102314425644.xml 5) snarterz_584609551.xml 6) alysiayeo594136055.xml 1) z-a-n-n2306499277.xml 7) zhangliyi_memories932668799030.xml 8) andy_tan911368887723.xml 9) config.xml k are the numbers from 0-9 string[] valnames = rk2.GetValueNames(); foreach (string k in valnames) { if (k == "MRUListEx") { continue; } Byte[] byteValue = (Byte[])rk2.GetValue(k); UnicodeEncoding unicode = new UnicodeEncoding(); string val = unicode.GetString(byteValue); Array.Sort(k); //Error here richTextBoxRecentDoc.AppendText("\n" + k + ") " + val + "\n"); }

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  • Delphi: EInvalidOp in neural network class (TD-lambda)

    - by user89818
    I have the following draft for a neural network class. This neural network should learn with TD-lambda. It is started by calling the getRating() function. But unfortunately, there is an EInvalidOp (invalid floading point operation) error after about 1000 iterations in the following lines: neuronsHidden[j] := neuronsHidden[j]+neuronsInput[t][i]*weightsInput[i][j]; // input -> hidden weightsHidden[j][k] := weightsHidden[j][k]+LEARNING_RATE_HIDDEN*tdError[k]*eligibilityTraceOutput[j][k]; // adjust hidden->output weights according to TD-lambda Why is this error? I can't find the mistake in my code :( Can you help me? Thank you very much in advance! unit uNeuronalesNetz; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, ExtCtrls, StdCtrls, Grids, Menus, Math; const NEURONS_INPUT = 43; // number of neurons in the input layer NEURONS_HIDDEN = 60; // number of neurons in the hidden layer NEURONS_OUTPUT = 1; // number of neurons in the output layer NEURONS_TOTAL = NEURONS_INPUT+NEURONS_HIDDEN+NEURONS_OUTPUT; // total number of neurons in the network MAX_TIMESTEPS = 42; // maximum number of timesteps possible (after 42 moves: board is full) LEARNING_RATE_INPUT = 0.25; // in ideal case: decrease gradually in course of training LEARNING_RATE_HIDDEN = 0.15; // in ideal case: decrease gradually in course of training GAMMA = 0.9; LAMBDA = 0.7; // decay parameter for eligibility traces type TFeatureVector = Array[1..43] of SmallInt; // definition of the array type TFeatureVector TArtificialNeuralNetwork = class // definition of the class TArtificialNeuralNetwork private // GENERAL SETTINGS START learningMode: Boolean; // does the network learn and change its weights? // GENERAL SETTINGS END // NETWORK CONFIGURATION START neuronsInput: Array[1..MAX_TIMESTEPS] of Array[1..NEURONS_INPUT] of Extended; // array of all input neurons (their values) for every timestep neuronsHidden: Array[1..NEURONS_HIDDEN] of Extended; // array of all hidden neurons (their values) neuronsOutput: Array[1..NEURONS_OUTPUT] of Extended; // array of output neurons (their values) weightsInput: Array[1..NEURONS_INPUT] of Array[1..NEURONS_HIDDEN] of Extended; // array of weights: input->hidden weightsHidden: Array[1..NEURONS_HIDDEN] of Array[1..NEURONS_OUTPUT] of Extended; // array of weights: hidden->output // NETWORK CONFIGURATION END // LEARNING SETTINGS START outputBefore: Array[1..NEURONS_OUTPUT] of Extended; // the network's output value in the last timestep (the one before) eligibilityTraceHidden: Array[1..NEURONS_INPUT] of Array[1..NEURONS_HIDDEN] of Array[1..NEURONS_OUTPUT] of Extended; // array of eligibility traces: hidden layer eligibilityTraceOutput: Array[1..NEURONS_TOTAL] of Array[1..NEURONS_TOTAL] of Extended; // array of eligibility traces: output layer reward: Array[1..MAX_TIMESTEPS] of Array[1..NEURONS_OUTPUT] of Extended; // the reward value for all output neurons in every timestep tdError: Array[1..NEURONS_OUTPUT] of Extended; // the network's error value for every single output neuron t: Byte; // current timestep cyclesTrained: Integer; // number of cycles trained so far (learning rates could be decreased accordingly) last50errors: Array[1..50] of Extended; // LEARNING SETTINGS END public constructor Create; // create the network object and do the initialization procedure UpdateEligibilityTraces; // update the eligibility traces for the hidden and output layer procedure tdLearning; // learning algorithm: adjust the network's weights procedure ForwardPropagation; // propagate the input values through the network to the output layer function getRating(state: TFeatureVector; explorative: Boolean): Extended; // get the rating for a given state (feature vector) function HyperbolicTangent(x: Extended): Extended; // calculate the hyperbolic tangent [-1;1] procedure StartNewCycle; // start a new cycle with everything set to default except for the weights procedure setLearningMode(activated: Boolean=TRUE); // switch the learning mode on/off procedure setInputs(state: TFeatureVector); // transfer the given feature vector to the input layer (set input neurons' values) procedure setReward(currentReward: SmallInt); // set the reward for the current timestep (with learning then or without) procedure nextTimeStep; // increase timestep t function getCyclesTrained(): Integer; // get the number of cycles trained so far procedure Visualize(imgHidden: Pointer); // visualize the neural network's hidden layer end; implementation procedure TArtificialNeuralNetwork.UpdateEligibilityTraces; var i, j, k: Integer; begin // how worthy is a weight to be adjusted? for j := 1 to NEURONS_HIDDEN do begin for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceOutput[j][k] := LAMBDA*eligibilityTraceOutput[j][k]+(neuronsOutput[k]*(1-neuronsOutput[k]))*neuronsHidden[j]; for i := 1 to NEURONS_INPUT do begin eligibilityTraceHidden[i][j][k] := LAMBDA*eligibilityTraceHidden[i][j][k]+(neuronsOutput[k]*(1-neuronsOutput[k]))*weightsHidden[j][k]*neuronsHidden[j]*(1-neuronsHidden[j])*neuronsInput[t][i]; end; end; end; end; procedure TArtificialNeuralNetwork.setReward; VAR i: Integer; begin for i := 1 to NEURONS_OUTPUT do begin // +1 = player A wins // 0 = draw // -1 = player B wins reward[t][i] := currentReward; end; end; procedure TArtificialNeuralNetwork.tdLearning; var i, j, k: Integer; begin if learningMode then begin for k := 1 to NEURONS_OUTPUT do begin if reward[t][k] = 0 then begin tdError[k] := GAMMA*neuronsOutput[k]-outputBefore[k]; // network's error value when reward is 0 end else begin tdError[k] := reward[t][k]-outputBefore[k]; // network's error value in the final state (reward received) end; for j := 1 to NEURONS_HIDDEN do begin weightsHidden[j][k] := weightsHidden[j][k]+LEARNING_RATE_HIDDEN*tdError[k]*eligibilityTraceOutput[j][k]; // adjust hidden->output weights according to TD-lambda for i := 1 to NEURONS_INPUT do begin weightsInput[i][j] := weightsInput[i][j]+LEARNING_RATE_INPUT*tdError[k]*eligibilityTraceHidden[i][j][k]; // adjust input->hidden weights according to TD-lambda end; end; end; end; end; procedure TArtificialNeuralNetwork.ForwardPropagation; var i, j, k: Integer; begin for j := 1 to NEURONS_HIDDEN do begin neuronsHidden[j] := 0; for i := 1 to NEURONS_INPUT do begin neuronsHidden[j] := neuronsHidden[j]+neuronsInput[t][i]*weightsInput[i][j]; // input -> hidden end; neuronsHidden[j] := HyperbolicTangent(neuronsHidden[j]); // activation of hidden neuron j end; for k := 1 to NEURONS_OUTPUT do begin neuronsOutput[k] := 0; for j := 1 to NEURONS_HIDDEN do begin neuronsOutput[k] := neuronsOutput[k]+neuronsHidden[j]*weightsHidden[j][k]; // hidden -> output end; neuronsOutput[k] := HyperbolicTangent(neuronsOutput[k]); // activation of output neuron k end; end; procedure TArtificialNeuralNetwork.setLearningMode; begin learningMode := activated; end; constructor TArtificialNeuralNetwork.Create; var i, j, k: Integer; begin inherited Create; Randomize; // initialize random numbers generator learningMode := TRUE; cyclesTrained := -2; // only set to -2 because it will be increased twice in the beginning StartNewCycle; for j := 1 to NEURONS_HIDDEN do begin for k := 1 to NEURONS_OUTPUT do begin weightsHidden[j][k] := abs(Random-0.5); // initialize weights: 0 <= random < 0.5 end; for i := 1 to NEURONS_INPUT do begin weightsInput[i][j] := abs(Random-0.5); // initialize weights: 0 <= random < 0.5 end; end; for i := 1 to 50 do begin last50errors[i] := 0; end; end; procedure TArtificialNeuralNetwork.nextTimeStep; begin t := t+1; end; procedure TArtificialNeuralNetwork.StartNewCycle; var i, j, k, m: Integer; begin t := 1; // start in timestep 1 cyclesTrained := cyclesTrained+1; // increase the number of cycles trained so far for j := 1 to NEURONS_HIDDEN do begin neuronsHidden[j] := 0; for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceOutput[j][k] := 0; outputBefore[k] := 0; neuronsOutput[k] := 0; for m := 1 to MAX_TIMESTEPS do begin reward[m][k] := 0; end; end; for i := 1 to NEURONS_INPUT do begin for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceHidden[i][j][k] := 0; end; end; end; end; function TArtificialNeuralNetwork.getCyclesTrained; begin result := cyclesTrained; end; procedure TArtificialNeuralNetwork.setInputs; var k: Integer; begin for k := 1 to NEURONS_INPUT do begin neuronsInput[t][k] := state[k]; end; end; function TArtificialNeuralNetwork.getRating; begin setInputs(state); ForwardPropagation; result := neuronsOutput[1]; if not explorative then begin tdLearning; // adjust the weights according to TD-lambda ForwardPropagation; // calculate the network's output again outputBefore[1] := neuronsOutput[1]; // set outputBefore which will then be used in the next timestep UpdateEligibilityTraces; // update the eligibility traces for the next timestep nextTimeStep; // go to the next timestep end; end; function TArtificialNeuralNetwork.HyperbolicTangent; begin if x > 5500 then // prevent overflow result := 1 else result := (Exp(2*x)-1)/(Exp(2*x)+1); end; end.

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  • Why am I losing precision when populating an NSDecimalNumber with a double?

    - by Mike
    Here is a simple code that shows what I think is a bug when dealing with double numbers... double wtf = 36.76662445068359375000; id xxx = [NSDecimalNumber numberWithDouble: wtf]; NSString *myBug = [xxx stringValue]; NSLog(@"%.20f", wtf); NSLog(@"%@", myBug); NSLog(@"-------\n"); the terminal will show two different numbers 36.76662445068359375000 and 36.76662445068359168 Is this a bug or am I missing something? if the second number is being rounded, it is a very strange rounding btw...

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  • A hard Question ?

    - by the-ifl
    Hi Guys , I try To find a solution to a question .... we have a number , example : 20 ... and we have 6 number :{ a ,b , c , d , e , f} < 20 , t try to find all values of these numbers , but only if we can combinate (whit + or -) whit 2 of this numbers and getting all the value below to 20 : for example we choose 31 : a = 22 b = 21 c = 14 d = 11 e = 9 f = 5 we have : 22 - 21 = 1 ; 11 - 9 = 2 ; 14 - 11 = 3 ; 9 - 5 = 4 ; f = 5 ; 11 - 5 = 6 ; 21 - 14 = 7 ; .... .... .... .... .... 21 + 9 = 30 ; 9 + 22 = 31 ;

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  • 2 Shaders using the same vertex data

    - by Fonix
    So im having problems rendering using 2 different shaders. Im currently rendering shapes that represent dice, what i want is if the dice is selected by the user, it draws an outline by drawing the dice completely red and slightly scaled up, then render the proper dice over it. At the moment some of the dice, for some reason, render the wrong dice for the outline, but the right one for the proper foreground dice. Im wondering if they aren't getting their vertex data mixed up somehow. Im not sure if doing something like this is even allowed in openGL: glGenBuffers(1, &_vertexBuffer); glBindBuffer(GL_ARRAY_BUFFER, _vertexBuffer); glBufferData(GL_ARRAY_BUFFER, numVertices*sizeof(GLfloat), vertices, GL_STATIC_DRAW); glEnableVertexAttribArray(effect->vertCoord); glVertexAttribPointer(effect->vertCoord, 3, GL_FLOAT, GL_FALSE, 0, 0); glEnableVertexAttribArray(effect->toon_vertCoord); glVertexAttribPointer(effect->toon_vertCoord, 3, GL_FLOAT, GL_FALSE, 0, 0); im trying to bind the vertex data to 2 different shaders here when i load my first shader i have: vertCoord = glGetAttribLocation(TexAndLighting, "position"); and the other shader has: toon_vertCoord = glGetAttribLocation(Toon, "position"); if I use the shaders independently of each other they work fine, but when i try to render both one on top of the other they get the model mixed up some times. here is how my draw function looks: - (void) draw { [EAGLContext setCurrentContext:context]; glBindVertexArrayOES(_vertexArray); effect->modelViewMatrix = mvm; effect->numberColour = GLKVector4Make(numbers[colorSelected].r, numbers[colorSelected].g, numbers[colorSelected].b, 1); effect->faceColour = GLKVector4Make(faceColors[colorSelected].r, faceColors[colorSelected].g, faceColors[colorSelected].b, 1); if(selected){ [effect drawOutline]; //this function prepares the shader glDrawElements(GL_TRIANGLES, numIndices, GL_UNSIGNED_SHORT, 0); } [effect prepareToDraw]; //same with this one glDrawElements(GL_TRIANGLES, numIndices, GL_UNSIGNED_SHORT, 0); } this is what it looks like, as you can see most of the outlines are using the wrong dice, or none at all: links to full code: http://pastebin.com/yDKb3wrD Dice.mm //rendering stuff http://pastebin.com/eBK0pzrK Effects.mm //shader stuff http://pastebin.com/5LtDAk8J //my shaders, shouldn't be anything to do with them though TL;DR: trying to use 2 different shaders that use the same vertex data, but its getting the models mixed up when rendering using both at the same time, well thats what i think is going wrong, quite stumped actually.

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  • Sorting a meta-list by first element of children lists in Python

    - by thismachinechills
    I have a list, root, of lists, root[child0], root[child1], etc. I want to sort the children of the root list by the first value in the child list, root[child0][0], which is an int. Example: import random children = 10 root = [[random.randint(0, children), "some value"] for child in children] I want to sort root from greatest to least by the first element of each of it's children. I've taken a look at some previous entries that used sorted() and a lamda function I'm entirely unfamiliar with, so I'm unsure of how to apply that to my problem. Appreciate any direction that can by given Thanks

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  • Open source jigsaw piece generator

    - by codecowboy
    Hi, Does anyone know of a C-based open source class / framework which can generate a random jigsaw puzzle from an image or generate a random puzzle template which could then be applied to an image? The puzzle pieces must have male and female notches/holes. There should be more than one template so that the puzzle does not become too easy. The target system is iOS / Mac. If not, how would you approach this problem? The puzzle pieces should be as close to a real jigsaw piece shape as possible and the system must be dynamic so that the user can use their own photos or download photos. thanks!

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  • Visual Studio 2010 debug minidump

    - by Snake
    Hi all, Consider the following code (written with Visual Studio 2010 and .NET 4.0) using System; namespace DumpTester { class Program { static void Main(string[] args) { int test = new Random().Next(); Console.WriteLine(test + new Random().Next()); Test(); } private static void Test() { throw new Exception(); } } } When running outside of Visual Studio you get this nice window of Microsoft Windows 7 that it is looking for a solution. Obviously, since this is my app, there is none. At that point I create a full dump file of my application with for example Process Explorer. I then open that dmp file from its location and try to debug. But whatever I try, it can't find the location of the source symbols. I tried putting the pdb next to the dump but it just doesn't find it. What am I doing wrong?

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  • Syntax Highlighting in a ListBox

    - by ph0enix
    Hi all, I've searched the web and I can't seem to find anything that will work for me. I've seen plenty of discussion, and even some fairly extensible open-source tools, for code editors that provide line numbers and syntax highlighting. Here's my dilemma... I'm working on a "digital code review" project in C#.NET that allows users to specify source files, add them to a particular session, and other users can make comments and line references to the files being reviewed. Basic requirements: Must be written in C#.NET I don't need to be able to edit the text in the text box Users need to be able to select a line (or multiple lines), to make line references. It seems to me that I need some fancy implementation of a ListBox control (not a drop-down list) that has some OwnerDraw capabilities to add line numbers and syntax highlighting. Unfortunately, I haven't had any luck putting it together myself, and I can't seem to find a control that's already been written or a reference on how I might be able to accomplish this. Any suggestions??

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  • How can I allow only privledged users to download a pdf with php?

    - by ThinkingInBits
    Lets say I have some pdf files stored on my server and I only want to allow a person who's paid have access to download a particular pdf. So for an example, let's say I have a bunch of e-books. The only way a user would be able to download e-book A is if his account contains the right credentials for that particular book. What's the best way to accomplish this? Any ideas/advice on how to improve my idea are greatly appreciated! My current idea: A user places an order Upon success, a new folder would be created by their /account_num/order_id/ A copy of the particular file would be stored in this directory Have php generate an .htaccess that would only allow access from a url that contains a random hash embedded into it. The only way a user would be able to access this random hashed page is if they are signed in as the right user, and the hash matches up with the hash stored in the database, otherwise they are redirected to home page.

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  • What is the most effective and flexible way to generate combinations in TSQL?

    - by SDReyes
    What is the most effective and flexible way to generate combinations in TSQL? With 'Flexible', I mean you should be able to add easily combination rules. e.g.: to generate combinatories of 'n' elements, sorting, remove duplicates, get combinatories where each prize belongs to a different lottery, etc. For example, Having a set of numbers representing lottery prizes. Number | Position | Lottery --------------------------- 12 | 01 | 67 12 | 02 | 67 34 | 03 | 67 43 | 01 | 89 72 | 02 | 89 33 | 03 | 89 (I include the position column because, a number could be repeated among different lottery's prizes) I would like to generate combinatories like: Numbers | Lotteries ------------------- 12 12 | 67 67 12 34 | 67 67 12 34 | 67 67 12 43 | 67 89 12 72 | 67 89 12 33 | 67 89 . . .

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  • Call methods on native Javascript types without wrapping with ()

    - by Anurag
    In Javascript, we can call methods on string literals directly without enclosing it within round brackets. But not for other types such as numbers, or functions. It is a syntax error, but is there a reason as to why the Javascript lexer needs these other types to be enclosed in round brackets? For example, if we extend Number, String, and Function with an alert method and try calling this method on the literals, it's a SyntaxError for Number and Function, while it works for a String. function alertValue() { alert(this); } Number.prototype.alert = alertValue; String.prototype.alert = alertValue; Function.prototype.alert = alertValue; We can call alert directly on a string object: "someStringLiteral".alert() // alerts someStringLiteral but it's a SyntaxError on numbers, and functions. 7.alert(); function() {}.alert(); To work with these types, we have to enclose it within brackets: (7).alert(); // alerts "7" (function() {}).alert(); // alerts "function() {}"

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  • generating function arguments in java

    - by aloishis89
    I'm very new to java and am working on my first Android app. I am using the webview demo as a template. I am trying to generate a random integer between 1 and 12 and then call a certain javascript function based on the result. Here's what I have: int number = 1 + (int)(Math.random() * ((12 - 1) + 1)); number = (int) Math.floor(number); String nextQuote = "javascript:wave" + number + "()"; mWebView.loadUrl(nextQuote); So mWebView.loadUrl(nextQuote) will be the same as something like mWebView.loadUrl("javascript:wave1()") I just want to know if what I have here is correct and will work the way I think it will. The application isn't responding as expected and I suspect this bit of code is the culprit.

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  • Why I get UnsupportedOperationException when trying to remove from the List?

    - by Pentium10
    I have this code: public static String SelectRandomFromTemplate(String template,int count) { String[] split = template.split("|"); List<String> list=Arrays.asList(split); Random r = new Random(); while (list.size()>count) { list.remove(r.nextInt(list.size())); } return StringUtils.join(list, ", "); } I get this: 06-03 15:05:29.614: ERROR/AndroidRuntime(7737): java.lang.UnsupportedOperationException 06-03 15:05:29.614: ERROR/AndroidRuntime(7737): at java.util.AbstractList.remove(AbstractList.java:645) How would be this the correct way? Java.15

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  • How do you get the ID of a control in ASP.NET

    - by James
    I am attempting to loop through an array of numbers, match them to the checkbox they they are associated with, and checkmark that box. My checkbox is set up like: <input type="checkbox" runat="server" id="someID" name="somename" value="1234" /> My code when the page loads currently looks like: foreach (string interest in interests_Var){ foreach (var c in Page.Controls) { } } interests_Var is my array containing different numbers. We'll assume one of them is 1234. While looping through the page controls, I want to compare the value of the control to my number. If it equals my number, I want to then apply the attribute checked="checked". I'm assuming I have to find the ID of the control I am using, then use that ID to add a new attribute. Or is there a way I can add the attribute using the c variable? I'm not dead set on this setup, so if you know a better way, I'm all ears. Thanks for any help and suggestions.

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  • Row/column counter in 'apply' functions

    - by mortalitysequence
    What if one wants to apply a functon i.e. to each row of a matrix, but also wants to use as an argument for this function the number of that row. As an example, suppose you wanted to get the n-th root of the numbers in each row of a matrix, where n is the row number. Is there another way (using apply only) than column-binding the row numbers to the initial matrix, like this? test <- data.frame(x=c(26,21,20),y=c(34,29,28)) t(apply(cbind(as.numeric(rownames(test)),test),1,function(x) x[2:3]^(1/x[1]))) P.S. Actually if test was really a matrix : test <- matrix(c(26,21,20,34,29,28),nrow=3) , rownames(test) doesn't help :( Thank you.

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  • Sorting Multidimensional Array with Javascript: Integers

    - by tkm256
    I have a 2D array called "results." Each "row" array in results contains both string and integer values. I'm using this script to sort the array by any "column" on an onclick event: function sort_array(results, column, direction) { var sorted_results = results.sort(value); function value(a,b) { a = a[column]; b = b[column]; return a == b ? 0 : (a < b ? -1*direction : 1*direction) } } This works fine for the columns with strings. But it treats the columns of integers like strings instead of numbers. For example, the values 15, 1000, 200, 97 would be sorted 1000, 15, 200, 97 if "ascending" or 97, 200, 15, 1000 "descending." I've double-checked the typeof the integer values, and the script knows they're numbers. How can I get it to treat them as such?

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  • Sorting issues in flexigrid with "json" data

    - by John Sieber
    I'm currently using flexigrid to display data in a current project, but am running into issues with its ability to properly sort certain columns that contain dates or numbers. The data is being sent from a ColdFusion CFC that selects the appropriate data and then delivers it in the proper "json" format. As the date/time stamps and other fields containing numbers are sent as "strings" they do not sort properly in the data grid. Is this a limitation of Flexigrid or am I sending the data improperly to Flexigrid? I can provide examples of my code if that is helpful.

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