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• Codeigniter: A nice straight forward tutorial on how to build a reset password/forgotten password?

  - by Psychonetics

  I've built a full sign up system with user account activation, login, validation, captcha etc. To complete this I now need to implement a forgot password/reset password feature.. I have created one function that generates a random password 8 characters, another method that takes that random password word and applies sha1 and hashing. Also one that takes that hashed password and stores it in a table in the database. I will keep these methods to one side as they might come in handy later on but for now I would like to know if anyone can point me to a nice tutorial for creating a password reset feature for my website. Thanks in advance

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• How can I make my counter look less fake?

  - by Eddy Pronk

  I'm using this bit of code to display the number of users on a site. My customer is complaining it looks fake. Any suggestions? var visitors = 187584; var updateVisitors = function() { visitors++; var vs = visitors.toString(), i = Math.floor(vs.length / 3), l = vs.length % 3; while (i-->0) if (!(l==0&&i==0)) vs = vs.slice(0,i*3+l) + ',' + vs.slice(i*3+l); $('#count').text(vs); setTimeout(updateVisitors, Math.random()*2000); }; setTimeout(updateVisitors, Math.random()*2000);

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• I'm having a problem identifying a floating point exception.

  - by Peter Stewart

  I'm using c++ in visual studio express to generate random expression trees for use in a genetic algorithm type of program. Because they are random, the trees often generate (I'll call them exceptions, I'm not sure what they are) Thanks to a suggestion by George, I turned the mask _MCW_EM on so that hardware interrupts are turned off. (the default) So, the program runs uninterrupted, but some of the values returned are: -1.#INF, -1.#NAN, -1.#INV. I don't know how to identify these so that I can throw an exeption: if ( variable == -1.#INF) ?? DigitalRoss in this post seemed to have the solution, but as I understood it I couldn't make it work. I've been looking all over the place for this simple bit of code, that I assumed would be used all the time, but have had no luck. thanks

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• Coldfusion CFC creation taking a variable amout of time to execute.

  - by Bazza

  I've been doing some logging of object creation times in our open account process in production. Periodically, initializing an object would take way longer than expected. By initializing I mean calling it's init() and passing a couple of arguments that may be simple variables or objects. e.g. <cfset validateObj = createObject("component", "compExample").init( productionMode = VARIABLES.productionMode, ipWhiteListed = isWhiteListed, ipLocatorObj = VARIABLES.ipLocatorObj ) /> Thats all that happens in init() methods. Generally the execution time would be 0ms, but at random times I might get 3 or 3.5 seconds. This is not specific to one particular server or to our generally busy period. It appears to be quite random. One thought was that these templates were being evicted from our template cache as they are not especially frequently used, although I checked cfstat on a number of servers and the max CP/Sec is -1. Running CF 8,0,1 Has anybody else ever come across this?

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• A good Sorted List for Java

  - by Phuong Nguyen de ManCity fan

  I'm looking for a good sorted list for java. Googling around give me some hints about using TreeSet/TreeMap. But these components is lack of one thing: random access to an element in the set. For example, I want to access nth element in the sorted set, but with TreeSet, I must iterate over other n-1 elements before I can get there. It would be a waste since I would have upto several thousands elements in my Set. Basically, I'm looking for some thing similar to a sorted list in .NET, with ability to add element fast, remove element fast, and have random access to any element in the list. Has this kind of sorted list implemented somewhere? Thanks.

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• Simple RSA encryption (Java)

  - by jake blue

  This is simply for fun. This will not be used for any actual encryption. I'm only first year comp sci student and love cryptography. This took a long time to get working. At approximately N = 18, it begins breaking down. It won't encrypt messages properly after that point. I'm not sure why. Any insights? I'd also appreciate any links you could provide me to tutorials or interesting reading about Cryptography. import java.math.BigInteger; import java.security.SecureRandom; /** * Cryptography. * * Generates public and private keys used in encryption and * decryption * */ public class RSA { private final static BigInteger one = new BigInteger("1"); private final static SecureRandom random = new SecureRandom(); // prime numbers private BigInteger p; private BigInteger q; // modulus private BigInteger n; // totient private BigInteger t; // public key private BigInteger e; // private key private BigInteger d; private String cipherText; /** * Constructor for objects of class RSA */ public RSA(int N) { p = BigInteger.probablePrime(N/2, random); q = BigInteger.probablePrime(N/2, random); // initialising modulus n = p.multiply(q); // initialising t by euclid's totient function (p-1)(q-1) t = (p.subtract(one)).multiply(q.subtract(one)); // initialising public key ~ 65537 is common public key e = new BigInteger("65537"); } public int generatePrivateKey() { d = e.modInverse(t); return d.intValue(); } public String encrypt(String plainText) { String encrypted = ""; int j = 0; for(int i = 0; i < plainText.length(); i++){ char m = plainText.charAt(i); BigInteger bi1 = BigInteger.valueOf(m); BigInteger bi2 = bi1.modPow(e, n); j = bi2.intValue(); m = (char) j; encrypted += m; } cipherText = encrypted; return encrypted; } public String decrypt() { String decrypted = ""; int j = 0; for(int i = 0; i < cipherText.length(); i++){ char c = cipherText.charAt(i); BigInteger bi1 = BigInteger.valueOf(c); BigInteger bi2 = bi1.modPow(d, n); j = bi2.intValue(); c = (char) j; decrypted += c; } return decrypted; } }

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• How to use traceit to report function input variables in stack trace

  - by reckoner

  Hi, I've been using the following code to trace the execution of my programs: import sys import linecache import random def traceit(frame, event, arg): if event == "line": lineno = frame.f_lineno filename = frame.f_globals["__file__"] if filename == "<stdin>": filename = "traceit.py" if (filename.endswith(".pyc") or filename.endswith(".pyo")): filename = filename[:-1] name = frame.f_globals["__name__"] line = linecache.getline(filename, lineno) print "%s:%s:%s: %s" % (name, lineno,frame.f_code.co_name , line.rstrip()) return traceit def main(): print "In main" for i in range(5): print i, random.randrange(0, 10) print "Done." sys.settrace(traceit) main() Using this code, or something like it, is it possible to report the values of certain function arguments? In other words, the above code tells me "which" functions were called and I would like to know "what" the corresponding values of the input variables for those function calls. Thanks in advance.

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• zChaff not showing output

  - by pns

  Hello, So I downloaded the latest version of zChaff (2007), and was trying out some very simple SAT problems. But zChaff does not output the solution (variable assignments). A very simple example input: p cnf 2 2 1 2 0 1 -2 0 And what I get: c 2 Clauses are true, Verify Solution successful. Instance Satisfiable 1 -2 Random Seed Used 0 Max Decision Level 1 Num. of Decisions 2 ( Stack + Vsids + Shrinking Decisions ) 0 + 1 + 0 Original Num Variables 2 Original Num Clauses 2 Original Num Literals 4 Added Conflict Clauses 0 Num of Shrinkings 0 Deleted Conflict Clauses 0 Deleted Clauses 0 Added Conflict Literals 0 Deleted (Total) Literals 0 Number of Implication 2 Total Run Time 5.1e-05 RESULT: SAT I can see the 1 -2 on the left of "Random Seed Used", but shouldn't this be outputing the variable assignments as "v ..." ? Thanks

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• Impersonating a user in wrong domain doesn't throw exception

  - by Rita

  I've used the common impersonation code and it worked just fine, until I inserted random 'dggdgsdg' in domain - and it worked nonetheless... if (LogonUser(Username, Domain, Password, Logon32LogonInteractive, Logon32ProviderDefault, ref existingTokenHandle) && DuplicateToken(existingTokenHandle, (int)SecurityImpersonationLevel.SecurityDelegation, ref duplicateTokenHandle)) { Identity = new WindowsIdentity(duplicateTokenHandle); ImpersonationContext = Identity.Impersonate(); } else { throw new Win32Exception(Marshal.GetLastWin32Error()); } I used some TestUser on my domain, and it worked. I then switched domain, to random nonsense 'werwerhrg', and it impersonated the TestUser on my domain! Why? I would expect an exception to be thrown, why on earth is it working?

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• Security review of an authenticated Diffie Hellman variant

  - by mtraut

  EDIT I'm still hoping for some advice on this, i tried to clarify my intentions... When i came upon device pairing in my mobile communication framework i studied a lot of papers on this topic and and also got some input from previous questions here. But, i didn't find a ready to implement protocol solution - so i invented a derivate and as i'm no crypto geek i'm not sure about the security caveats of the final solution: The main questions are Is SHA256 sufficient as a commit function? Is the addition of the shared secret as an authentication info in the commit string safe? What is the overall security of the 1024 bit group DH I assume at most 2^-24 bit probability of succesful MITM attack (because of 24 bit challenge). Is this plausible? What may be the most promising attack (besides ripping the device out off my numb, cold hands) This is the algorithm sketch For first time pairing, a solution proposed in "Key agreement in peer-to-peer wireless networks" (DH-SC) is implemented. I based it on a commitment derived from: A fix "UUID" for the communicating entity/role (128 bit, sent at protocol start, before commitment) The public DH key (192 bit private key, based on the 1024 bit Oakley group) A 24 bit random challenge Commit is computed using SHA256 c = sha256( UUID || DH pub || Chall) Both parties exchange this commitment, open and transfer the plain content of the above values. The 24 bit random is displayed to the user for manual authentication DH session key (128 bytes, see above) is computed When the user opts for persistent pairing, the session key is stored with the remote UUID as a shared secret Next time devices connect, commit is computed by additionally hashing the previous DH session key before the random challenge. For sure it is not transfered when opening. c = sha256( UUID || DH pub || DH sess || Chall) Now the user is not bothered authenticating when the local party can derive the same commitment using his own, stored previous DH session key. After succesful connection the new DH session key becomes the new shared secret. As this does not exactly fit the protocols i found so far (and as such their security proofs), i'd be very interested to get an opinion from some more crypto enabled guys here. BTW. i did read about the "EKE" protocol, but i'm not sure what the extra security level is.

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• rails link path and routing error

  - by Nick5a1

  <%= link_to t('.new', :default => t("helpers.links.new")), new_equipment_path, :class => 'btn btn-primary' %> I have the above code in a view, but am getting the following error when clicking the link: No route matches {:action=>"show", :controller=>"equipment"} My routes file contains: devise_for :users ActiveAdmin.routes(self) devise_for :admin_users, ActiveAdmin::Devise.config resources :equipment resources :workouts root :to => "home#index" match 'workouts/random', :to => 'workouts#random' match ':controller(/:action(/:id))(.:format)' Why is it trying to access the show action?

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• django: Selecting questions that was not asked

  - by Oleg Tarasenko

  Hi, I am creating small django application which holds some few questions (and answers for them) What I want to do is to show user random question, but only from those which was not solved by him yet. I wonder how to do this. For now, I defined user profile model this way: class UserProfile(models.Model): rank = models.IntegerField(default = 1) solvedQ = models.ManyToManyField(Question) user = models.ForeignKey(User, unique=True) So solved problems are added this way: if user.is_authenticated(): profile = user.get_profile() profile.rank += 1 profile.solvedQ.add(Question.objects.get(id=id)) Now if the view must show random question, but not from already solved list... Is there a good way to intersect Questions and solvedQuestions.... so question is chosen from the unsolved list?

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• set target.id to div id and a number?

  - by Claes Gustavsson

  The target id below is map_external, but I would like to get map_external(and a number) I have this: $('#jqt').bind('pageAnimationStart', function(e, info){ if (e.target.id == 'map_external') { if (info.direction =='in') { localiser(); } and it works, and my target page looks like this: <div id="map_external"> content.... </div> but I would like to have a random number aswell, like this: <div id="map_external<%=asp random number%>"> content.... </div> so how do i write if (e.target.id == 'map_external') so that it gets map_external and a number(any number)? Thanks!

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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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• Help! Obj-C/Iphone programming: extracting string from html text and reading off line by line

  - by royden

  hihi, I have this html text response from a particular website: <tr><td valign="top"><img src="/icons/image2.gif" alt="[IMG]"></td><td><a href="crsdsdfs2221.jpg">crash-2221.jpg</a></td><td align="right">14-Jun-2010 14:29 Notice for every line, there is this href=".__", which is an image file with random name and random format. I would like to extract that string within the inverted commas out so that i can append it into a URL path and download the image. I've been looking through this documentation from apple: http://developer.apple.com/mac/library/documentation/cocoa/conceptual/strings/Articles/SearchingStrings.html#//apple_ref/doc/uid/20000149-CJBBGBAI on String programming but couldn't find one that fits my bill. Also after reading it, what code can I use to ensure that I will be reading the next line the next time my function is called( because I want to download the next picture). Hope some kind soul can help me out, 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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• Android and PHP - Do I need to use sessions?

  - by jtnire

  I have created an Android App that communicates with a PHP web server. They both send JSON to each other. My App is almost finished, however there is one thing left to do: authentication. Since the user's username and password will be stored in Android SharedPreferences, is there any need to use PHP sessions, given that the user won't need to enter the username/password at every request? Since I can just send the username and password in the HTTP POST header for every request, and that I will be using SSL, is this sufficient? I guess I could add an extra field in the header called 'random' that just adds a random value, just to use as a salt so that the encrypted SSL payload will be different everytime. The reason why I don't want to use sessions is that my Android App would either have to handle cookies, or managed the storage of the session ID. If there are some serious cons to using my method above, then I'm more than happy to use sessions, however all advice is appreciated. Thanks

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• Python: Time a code segment for testing performance (with timeit)

  - by Mestika

  Hi, I've a python script which works just as it should but I need to write the time for the execution. I've gooled that I should use timeit but I can't seem to get it to work. My Python script looks like this: import sys import getopt import timeit import random import os import re import ibm_db import time from string import maketrans myfile = open("results_update.txt", "a") for r in range(100): rannumber = random.randint(0, 100) update = "update TABLE set val = %i where MyCount >= '2010' and MyCount < '2012' and number = '250'" % rannumber #print rannumber conn = ibm_db.pconnect("dsn=myDB","usrname","secretPWD") for r in range(5): print "Run %s\n" % r ibm_db.execute(query_stmt) query_stmt = ibm_db.prepare(conn, update) myfile.close() ibm_db.close(conn) What I need it the time it takes the execution of the query and written to the file "results_update.txt". The purpose is to test an update statement for my database with different indexes and tuning mechanisms. Sincerely Mestika

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• What is your "generic" web application testing plan ?

  - by mathieu

  Like, testing for : invalid inputs (strings containing "'"s) giving random id's in url parameters to access "unauthorized" pages prevent sql injection ...

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• Visual C++/CLI "An unhandled exception of type 'System.StackOverflowException' occurred in"

  - by JennyWong

  Hi, I have a game I am making, it is giving me this message... "An unhandled exception of type 'System.StackOverflowException' occurred in game.exe" To explain...I have a 2D array with 9 different opening moves and I am getting a random number to use as the array reference to retrieve the details needed for a move... you may get the same move again - but that's illegal. the move may be illegal for other reasons too So to try and fix this, I am calling the function again from within the function. The error occurs very randomly Is this bad practise to call a function from within itself? What would be a better way to randomly row from a 2D array, AND if it isn't accept to get another one.... Or better still, how can I retrieve a random LEGAL move?

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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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• 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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• 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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• 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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• Collection type generated by for with yield

  - by Jesper

  When I evaluate a for in Scala, I get an immutable IndexedSeq (a collection with array-like performance characteristics, such as efficient random access): scala> val s = for (i <- 0 to 9) yield math.random + i s: scala.collection.immutable.IndexedSeq[Double] = Vector(0.6127056766832756, 1.7137598183155291, ... Does a for with a yield always return an IndexedSeq, or can it also return some other type of collection class (a LinearSeq, for example)? If it can also return something else, then what determines the return type, and how can I influence it? I'm using Scala 2.8.0.RC3.

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