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  • .NET projects build automation with NAnt/MSBuild + SVN

    - by petr k.
    Hi everyone, for quite a while now, I've been trying to figure out how to setup an automated build process at our shop. I've read many posts and guides on this matter and none of them really fits my specifics needs. My SVN repository is laid out as follows \projects \projectA (a product) \tags \1.0.0.1 \1.0.0.2 ... \trunk \src \proj1 (a VS C# project) \proj2 \documentation Then I have a network share, with a folder for each project (product), which in turn contains the binaries, written documentation and the generated API documentation (via NDoc - each project may have an .ndoc file in the repository) for every historical version (from the tags SVN folder) and for the latest version as well (from the trunk). Basically, what I want to do in a scheduled batch build are these steps: examine the project's SVN folder and identify tags not present in the network share for each of these tags check out the tag folder build (with Release config) copy the resulting binaries to the network share search for .ndoc files generate CHM files via NDoc copy the resulting CHM files to the network share do the same as in 2., but for the HEAD revision of trunk Now, the trouble is, I have no idea where to start. I do not keep .sln files in the repository, but I am able to replace these with MSBuild files which in turn build the C# projects belonging to the specific product. I guess the most troubling part is the examination of the repository for tags which have not been processed yet - i.e. searching the tags and comparing them to a project's directory structure on the network share. I have no idea how to do that in any of the build tools (NAnt, MSBuild). Could you please provide me with some pointers on how to approach this task as a whole and in detail as well? I do not care if I use NAnt, MSBuild, or both. I am aware that this might be rather complex, but every idea and NAnt/MSBuild snippet will be a great help. Thanks in advance.

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  • Neural Networks in C# using NeuronDotNet

    - by kingrichard2005
    Hello, I'm testing the NeuronDotNet library for a class assignment using C#. I have a very simple console application that I'm using to test some of the code snippets provided in the manual fro the library, the goal of the assignment is to teach the program how to distinguish between random points in a square which may or may not be within a circle that is also inside the square. So basically, which points inside the square are also inside the circle. Here is what I have so far: namespace _469_A7 { class Program { static void Main(string[] args) { //Initlaize the backpropogation network LinearLayer inputLayer = new LinearLayer(2); SigmoidLayer hiddenLayer = new SigmoidLayer(8); SigmoidLayer outputLayer = new SigmoidLayer(2); new BackpropagationConnector(inputLayer, hiddenLayer); new BackpropagationConnector(hiddenLayer, outputLayer); BackpropagationNetwork network = new BackpropagationNetwork(inputLayer, outputLayer); //Generate a training set for the ANN TrainingSet trainingSet = new TrainingSet(2, 2); //TEST: Generate random set of points and add to training set, //for testing purposes start with 10 samples; Point p; Program program = new Program(); //Used to access randdouble function Random rand = new Random(); for(int i = 0; i < 10; i++) { //These points will be within the circle radius Type A if(rand.NextDouble() > 0.5) { p = new Point(rand.NextDouble(), rand.NextDouble()); trainingSet.Add(new TrainingSample(new double[2] { p.getX(), p.getY() }, new double[2] { 1, 0 })); continue; } //These points will either be on the border or outside the circle Type B p = new Point(program.randdouble(1.0, 4.0), program.randdouble(1.0, 4.0)); trainingSet.Add(new TrainingSample(new double[2] { p.getX(), p.getY() }, new double[2] { 0, 1 })); } //Start network learning network.Learn(trainingSet, 100); //Stop network learning //network.StopLearning(); } //generates a psuedo-random double between min and max public double randdouble(double min, double max) { Random rand = new Random(); if (min > max) { return rand.NextDouble() * (min - max) + max; } else { return rand.NextDouble() * (max - min) + min; } } } //Class defines a point in X/Y coordinates public class Point { private double X; private double Y; public Point(double xVal, double yVal) { this.X = xVal; this.Y = yVal; } public double getX() { return X; } public double getY() { return Y; } } } This is basically all that I need, the only question I have is how to handle output?? More specifically, I need to output the value of the "step size" and the momentum, although it would be nice to output other information as well. Anyone with experience using NeuronDotNet, your input is appreciated.

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  • Open Source/Free Social Networking SDK

    - by Nix
    I am currently gathering some technology requirements for a site that will be a social network based. I don't want to re-invent the wheel so i am looking for some type of SDK or collection of tools that can provide me with a way of creating/managing a social network. I understand that no framework will probably fit my exact needs so I am also looking for a flexible/extensible framework. An example extension point would be allowing the user to provide sub networks, maybe a global network that could be sub classified as work and friends. Beyond that it would also be nice to somehow be able to import contacts from other networking sites (Facebook, Linked In, etc). My current technology suite will more than likely consist of the following: IIS 7.0 WCF Data Services SQL Server 2005/2008 ASP.NET front end. So my two questions are 1) C# Open Source Social Network SDK 2) C# Open Source Social Netowrk APIs (facebook, linked in, etc) If there is any more information you may need please let me know.

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