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  • Convert long number as string in the serialization

    - by Bruno
    I have a custom made class that use a long as ID. However, when I call my action using ajax, my ID is truncated and it loses the last 2 numbers because javascript loses precision when dealing with large numbers. My solution would be to give a string to my javascript, but the ID have to stay as a long on the server side. Is there a way to serialize the property as a string? I'm looking for some kind of attribute. Controller public class CustomersController : ApiController { public IEnumerable<CustomerEntity> Get() { yield return new CustomerEntity() { ID = 1306270928525862486, Name = "Test" }; } } Model public class CustomerEntity { public long ID { get; set; } public string Name { get; set; } } JSON Result [{"Name":"Test","ID":1306270928525862400}]

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  • Does this game have a solution

    - by Bragboy
    Hi, I am developing a simple game using Java swing. I want to know whether this particular game has a solution in the following scenario. If I am convinced that theoretically a solution cannot be arrived at this point, I will throw a notification to the user. 3x3 4x4 The objective of this game is to fill numbers from 1 to 8 (or 1 to 15) using the one space available to push the numbers to that empty space. Every time I end up with the combination shown above. I just want to convince myself that there is no way to attain the proper solution from the above scenario. Please help. EDIT : Solution has been posted at here and here

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  • rails 3, active record: any way to tell how many unique values match a "x LIKE ?" query

    - by jpwynn
    I have a query to find all the phone numbers that match a partial expression such as "ends with 234" @matchingphones = Calls.find :all, :conditions => [ "(thephonenumber LIKE ?)", "%234"] The same phone number might be in the database several times, and so might be returned multiple times by this query if it matches. What I need is to know is UNIQUE phone numbers the query returns. For example if the database contains 000-111-1234 * 000-111-3333 000-111-2234 * 000-111-1234 * 000-111-4444 the existing query will return the 3 records marked with * (eg returns one phone number -1234 twice since it's in the database twice) what I need is a query that returns just once instance of each match, in this case 000-111-1234 * 000-111-2234 *

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  • Simplest LINQ in C# troubleshooting.

    - by Jay
    I'm trying to learn a bit of LINQ but I'm having compile issues right off the bat. Is there any specific reason why this won't work? using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace HelloLINQ { class HelloLINQ { public static void Main() { Example1(); } public static void Example1() { var numbers = new int[] { 1, 5, 3, 7, 3, 8, 9, 3, 6, 6, 2 }; var under5 = from n in numbers select n; foreach (var n in under5) { Console.WriteLine(n); } } } } The error is: Could not find an implementation of the query pattern for source type 'int[]'. 'Select' not found. Are you missing a reference to 'System.Core.dll' or a using directive for 'System.Linq'?

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  • c# list<int> how to insert a new value in between two values

    - by gdubs
    so i have a list where i need to add new values constantly but when i do i need to increment it and insert it in between two values. List<int> initializers = new List <int>(); initializers.Add(1); initializers.Add(3); so initializers would have 1, 3 values. i would then process a new set of numbers. the initializers will need to have the values. 1, 5, 3, 7 and if i process another set of numbers it should become 1, 9, 5, 13, 3, 11, 7, 15 i know how to properly generate the new values inserted, i just need some help on inserting it in between the existing values of the initializers without having to add 2 or 3 more loops to move the values' positions.

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  • opening iWorks documents in iPad UIWebView

    - by user369156
    Hello, I'm writing an iPad application that has a UIWebView which I open word and excel documents in, but I want the user to be able to import those documents into the iWorks applications, Pages and Numbers, just like how you can do it in Safari if you open a document. If you open a document in Safari on the iPad, there'll be a button on the top bar that says "Open in..." and you can choose applications to open in. You get the top bar to appear by tapping on middle of the page. So is there an option you can set to allow UIWebView to show up the bar and automatically detect the content type and populate the list with applications you can import in? Or do I have to build this myself? And if I have to build my own, how do I open URLs to import documents into Pages and Numbers etc? Thanks, -David

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  • Simple addition calculator in python

    - by Krysten
    I built a very simple addition calculator in python: #This program will add two numbers entered in by the user print "Welcome!" num1 = input("Please enter in the first number to be added.") num2 = input("Please enter in the second number to be added.") sum = num1 + num2 print "The sum of the two numbers entered is: ", sum I haven't setup python yet, so I'm using codepad.org (an online compiler). I get the following error: Welcome! Please enter in the first number to be addeded.Traceback (most recent call last): Line 5, in num1 = input("Please enter in the first number to be addeded.") EOFError

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  • spoof mac address

    - by Cold-Blooded
    // macaddress.cpp : Defines the entry point for the console application. // #include "stdafx.h" #include <windows.h> #include <iostream> using namespace std; void readregistry(); void spoofmac(); void main(int argc, char* argv[]) { readregistry(); spoofmac(); } void spoofmac() { ////////////////////// ////////Write to Registry char buffer[60]; unsigned long size = sizeof(buffer); HKEY software; LPCTSTR location; char adapternum[10]=""; char numbers[11]="0123456789"; char editlocation[]="System\\CurrentControlSet\\Control\\Class\\{4D36E972-E325-11CE-BFC1-08002bE10318}\\0000"; char macaddress[60]; cout << "\n//////////////////////////////////////////////////////////////////\nPlease Enter Number of Network Adapter to Spoof or type 'E' to Exit.\nE.g. 18\n\nNumber: "; cin >> adapternum; if (adapternum[0]=='E') { exit(0); } if (strlen(adapternum)==2) { editlocation[strlen(editlocation)-2]=adapternum[0]; editlocation[strlen(editlocation)-1]=adapternum[1]; } if (strlen(adapternum)==1) { editlocation[strlen(editlocation)-1]=adapternum[0]; } if (strlen(adapternum)!=1 && strlen(adapternum)!=2) { cout << "Invaild Network Adapter Chosen\n\n"; exit(0); } cout << "Please Enter the Desired Spoofed Mac Address Without Dashes\nE.g. 00123F0F6D7F\n\nNew Mac: "; cin >> macaddress; location = editlocation; //error line strcpy(buffer,macaddress); size=sizeof(buffer); RegCreateKey(HKEY_LOCAL_MACHINE,location,&software); //RegSetValueEx(software,"NetworkAddress",NULL,REG_SZ,(LPBYTE)buffer,size); RegCloseKey(software); cout << "\nMac Address Successfully Spoofed.\n\nWritten by Lyth0s\n\n"; } void readregistry () { //////////////////////////////////// // Read From Registry char driver[60]=""; char mac[60]=""; char numbers[11]="0123456789"; char editlocation[]="System\\CurrentControlSet\\Control\\Class\\{4D36E972-E325-11CE-BFC1-08002bE10318}\\0000"; unsigned long driversize = sizeof(driver); unsigned long macsize = sizeof(mac); DWORD type; HKEY software; LPCTSTR location; int tenscount=0; int onescount=0; for (int x =0;x<=19; x+=1) { strcpy(driver,""); driversize=sizeof(driver); strcpy(mac,""); macsize=sizeof(mac); if (editlocation[strlen(editlocation)-1]=='9') { tenscount+=1; onescount=0; editlocation[strlen(editlocation)-2]=numbers[tenscount]; } editlocation[strlen(editlocation)-1]=numbers[onescount]; location=editlocation; //error line // cout << location << "\n"; // cout << "Checking 00" << location[strlen(location)-2] << location[strlen(location)-1] << "\n\n"; RegCreateKey(HKEY_LOCAL_MACHINE,location,&software); RegQueryValueEx(software,"DriverDesc",NULL,&type,(LPBYTE)driver,&driversize); //RegCloseKey(software); //RegCreateKey(HKEY_LOCAL_MACHINE,location,&software); RegQueryValueEx(software,"NetworkAddress",NULL,&type,(LPBYTE)mac,&macsize); RegCloseKey(software); cout << x << ": " << driver << "| Mac: " << mac << "\n"; onescount+=1; } } this program gives error as follows error C2440: '=' : cannot convert from 'char [83]' to 'LPCTSTR' why this error coming please explain

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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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  • Ignoring characters in a file while parsing

    - by sfactor
    i need to parse through a text file and process the data. the valid data is usually denoted by either a timestamp with TS followed by 10 numbers (TS1040501134) or values with a alpabet followed by nine numbers (A098098098)...so it will be like TS1040501134A111111111B222222222...........TS1020304050A000000000........ However, there are cases when there will be filler 0s when there is no data. So, such a case might be 00000000000000000000TS1040501134A111111111B2222222220000000000TS1020304050A000000000........` Now as we can see I need to ignore these zeros. how might i do this? I am using gnu C.

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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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  • 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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  • 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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  • Validate decimal number in (known) national format

    - by Álvaro G. Vicario
    PHP has many built-in functions to validate numbers but they all expect input in computer format: 1234.56. I need to validate stuff like 1,234.56 (English) or 1.234,56 (Spanish), together with some typical attributes (accepted range, max number of decimals, etc.). I started writing my own function but I soon got lost. It's easy to read the user input into a float variable but I want to be able to detect numbers with invalid formats like 1,23456.7 or 1..25. Do you have any recommendation on the subject? (Decimal and thousand characters are known beforehand and it's okay to hard-code digit groups as three, there's no need to cover Indian number format.)

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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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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