コード例 #1
0
 public GameForm()
 {
     InitializeComponent();
     string[] dataIn = LoadFromFile.LoadFileToString("LastNames.txt");
     foreach (string s in dataIn)
     {
         OutputText.AppendText(s + "\n");
     }
     //  game = linkedgame;
 }
コード例 #2
0
        static void Main(string[] args)
        {
            IRepository        repo   = new ContactsRepository();
            ISearchEngine      search = new SearchContacts(repo);
            SaveToFile         saver  = new SaveToFile();
            LoadFromFile       loader = new LoadFromFile();
            ContactsController con    = new ContactsController(repo, loader, saver, search);

            con.ShowMainMenu();
        }
コード例 #3
0
        public ViewOrderViewModel()
        {
            LoadFromFile load = new LoadFromFile();

            if (!load.FromCsv())
            {
                Orders = new ObservableCollection <Order>();
            }
            else
            {
                Orders = new ObservableCollection <Order>(load.Orders);
            }
        }
コード例 #4
0
        }                                                        // Link button to relaycommand

        //Constructor loads email JSON file
        public ViewEmailViewModel()
        {
            LoadFromFile load = new LoadFromFile();

            if (!load.FromJsonEMAIL())
            {
                emailMessages = new ObservableCollection <Email>();
            }
            else
            {
                emailMessages = new ObservableCollection <Email>(load.EmailMessages);
            }

            ClearDataButtonText = "Clear Data";                           // Text to be displayed on button
            ClearButtonCommand  = new RelayCommand(ClearDataButtonClick); // When clicked button will call send method
        }
コード例 #5
0
ファイル: Form1.cs プロジェクト: sid-max1996/NeuralNetwork
 //запуск теста мниста
 private void mnistTestButton_Click(object sender, EventArgs e)
 {
     if (Information.NN == null)
     {
         printErrorMessage("NN не создана");
         return;
     }
     if (Information.isMnistLearn && Information.answNames.Count == 10)
     {
         ReadMnist            readMnist  = new ReadMnist(false, true);
         string[]             fileNames2 = Information.answNames.ToArray();
         LoadFromFile         lF2        = new LoadFromFile(fileNames2);
         List <List <float> > answList   = lF2.ConvertIntoList();
         Information.NN.MnistTest(readMnist, answList);
     }
     else
     {
         MessageBox.Show("Error Mnist Learn Not Active");
     }
 }
コード例 #6
0
        // Contructor loads JSON files for tweets
        public ViewTweetViewModel()
        {
            LoadFromFile load = new LoadFromFile();

            ViewTrendsText = "View Trends";

            if (!load.FromJsonTWEET())
            {
                tweetMessages = new ObservableCollection <Tweet>();
            }
            else
            {
                tweetMessages = new ObservableCollection <Tweet>(load.TweetMessages);
            }

            BodyTextBox = string.Empty;

            ClearDataButtonText = "Clear Data";                           // Text to be displayed on button
            ClearButtonCommand  = new RelayCommand(ClearDataButtonClick); // When clicked button will call send method
        }
コード例 #7
0
ファイル: Form1.cs プロジェクト: sid-max1996/NeuralNetwork
        //запуск из файла Run НН
        private void openRunNN(object sender, EventArgs e)
        {
            Information.inputSignals.Clear();
            openFileDialog1.FileName         = "Файл Для Запуска";
            openFileDialog1.Filter           = "*(*.txt)|*.txt";
            openFileDialog1.InitialDirectory = Directory.GetCurrentDirectory();
            //выбрать файл
            if (openFileDialog1.ShowDialog() == DialogResult.OK)
            {
                string str = "Выбран файл: ";
                str += openFileDialog1.FileName;
                MessageBox.Show(str);
            }
            string[]     fileNames = new string[] { openFileDialog1.FileName };
            LoadFromFile lF        = new LoadFromFile(fileNames);

            Information.inputSignals = lF.ConvertIntoList()[0];
            if (Information.NN.IsBiasNeuron)
            {
                Information.inputSignals.Add(1);
            }
            consoleRunNN();
        }
コード例 #8
0
ファイル: Form1.cs プロジェクト: sid-max1996/NeuralNetwork
        //Начать учить НН
        private async void startLearnNN(object sender, EventArgs e)
        {
            int MaxEp;

            if (int.TryParse(textBoxLearnRate.Text, out MaxEp))
            {
                Information.NN.MaxEp = MaxEp;
            }
            int DistPrint;

            if (int.TryParse(textBoxMoment.Text, out DistPrint))
            {
                Information.NN.DistPrint = DistPrint;
            }

            if (Information.pattNames.Count == Information.answNames.Count &&
                Information.pattNames.Count != 0)
            {
                string[]             fileNames1 = Information.pattNames.ToArray();
                LoadFromFile         lF1        = new LoadFromFile(fileNames1);
                string[]             fileNames2 = Information.answNames.ToArray();
                LoadFromFile         lF2        = new LoadFromFile(fileNames2);
                List <List <float> > pattList   = lF1.ConvertIntoList();
                List <List <float> > answList   = lF2.ConvertIntoList();
                Information.NN.Learning(pattList.Count, pattList, answList);
            }
            else if (Information.isMnistLearn && Information.answNames.Count == 10)
            {
                ReadMnist readMnist = new ReadMnist(true, false);
                //File.WriteAllLines("mnist_data.txt", Information.mnistStrs);
                string[]             fileNames2 = Information.answNames.ToArray();
                LoadFromFile         lF2        = new LoadFromFile(fileNames2);
                List <List <float> > answList   = lF2.ConvertIntoList();
                Information.NN.LearningMnist(readMnist, answList);
            }
            else if (Information.isFormatLearn)
            {
                if (Information.NN != null)
                {
                    openFileDialog1.FileName         = "Выбор файла NN";
                    openFileDialog1.Filter           = "*(*.txt)|*.txt";
                    openFileDialog1.InitialDirectory = Directory.GetCurrentDirectory() + @"\formatData";
                    if (openFileDialog1.ShowDialog() == DialogResult.OK)
                    {
                        string filePath = openFileDialog1.FileName;
                        Information.FormatFilePath = filePath;
                        Tuple <PatternsType, KeysType, AnswersType> data = FormatLoad(filePath);
                        PatternsType pattList = data.Item1;
                        KeysType     keys     = data.Item2;
                        AnswersType  answList = data.Item3;
                        await Information.NN.LearningFormat(pattList, keys, answList);
                    }
                    else
                    {
                        FormConsole.PrintlnAndScroll("erroe open file dialog");
                    }
                }
                else
                {
                    FormConsole.PrintlnAndScroll("erroe NN is not define");
                }
            }
            else
            {
                printErrorMessage("Неверно заданы образцы и ответы");
            }
        }