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using System.Data;
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using System.Drawing.Drawing2D;
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using System.IO;
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using System.Text;
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using System.Threading.Tasks;
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using System.Windows;
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using System.Windows.Controls;
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using System.Windows.Data;
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using System.Windows.Documents;
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using System.Windows.Input;
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using System.Windows.Media;
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using System.Windows.Media.Animation;
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using System.Windows.Media.Imaging;
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using System.Windows.Navigation;
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using System.Windows.Shapes;
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using Microsoft.Win32;
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namespace DSPS_Lab1;
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/// <summary>
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/// Interaction logic for MainWindow.xaml
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/// </summary>
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public partial class MainWindow : Window
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{
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private char[] File;
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private int Total;
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private int[] Count;
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private int[,] CountPair; // first index - current char, second index - next char
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private float[] Probability;
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private float[,] CombinedProbability;
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private float[,] ConditionalProbability;
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public MainWindow()
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{
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InitializeComponent();
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Count = new int[256];
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CountPair = new int[256, 256];
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Probability = new float[256];
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CombinedProbability = new float[256, 256];
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ConditionalProbability = new float[256, 256];
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}
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private async void OpenFile(object sender, RoutedEventArgs e)
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{
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var dlg = new OpenFileDialog
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{
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Title = "Open file",
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Filter = "All files|*.*"
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};
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bool? result = dlg.ShowDialog();
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if (result == true && !string.IsNullOrEmpty(dlg.FileName))
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{
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try
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{
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string content = await System.IO.File.ReadAllTextAsync(dlg.FileName, Encoding.UTF8);
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this.FileName.Content = System.IO.Path.GetFileName(dlg.FileName);
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SourceTextBox.Text = content;
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this.File = content.ToCharArray();
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}
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catch (IOException ex)
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{
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MessageBox.Show(this, $"Failed to read file: {ex.Message}", "Error", MessageBoxButton.OK, MessageBoxImage.Error);
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}
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await CalculateTask1();
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await CalculateTask2();
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await CalculateTask3();
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}
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}
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private async Task CalculateTask1()
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{
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var result = await Task.Run(() =>
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{
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float H = 0;
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float check = 0;
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DataTable dt = new DataTable();
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foreach (char c in File)
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{
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if (c > 255) continue;
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Count[c]++;
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Total++;
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}
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DataRow row = dt.NewRow();
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for (int i = 0; i < Count.Length; i++)
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{
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dt.Columns.Add(i.ToString(), typeof(float));
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float p = (float)Count[i] / Total;
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Probability[i] = p;
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check += p;
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row[i] = Math.Round(p * 100) / 100;
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if (Count[i] == 0) continue;
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H += p * (float)Math.Log2(p);
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}
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dt.Rows.Add(row);
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return (dt, H);
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});
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DataGridTask1.ItemsSource = result.dt.DefaultView;
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Entropy1AmountLabel.Content = (-result.H).ToString();
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double max = (1 / 256.0) * Math.Log2(1 / 256.0) * -256;
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MaxEntropyAmountLabel.Content = max.ToString();
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Coefficient1.Content = ((max + result.H)/max).ToString();
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}
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private async Task CalculateTask2()
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{
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var result = await Task.Run(() =>
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{
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Total = 0;
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float H = 0;
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float check = 0;
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DataTable dt = new DataTable();
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for (int i = 0; i < File.Length - 1; i++)
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{
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if (File[i + 1] > 255 || File[i] > 255) continue;
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CountPair[File[i], File[i + 1]]++;
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Total++;
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}
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dt.Columns.Add("Char", typeof(string));
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for (int i = 0; i < CountPair.GetLength(0); i++)
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dt.Columns.Add(i.ToString(), typeof(float));
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for (int i = 0; i < CountPair.GetLength(0); i++)
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{
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DataRow row = dt.NewRow();
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row[0] = i.ToString();
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for (int j = 0; j < CountPair.GetLength(1); j++)
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{
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float p = (float)CountPair[i, j] / Total;
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CombinedProbability[i, j] = p;
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check += p;
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row[j+1] = Math.Round(p * 1000) / 1000;
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if (CountPair[i, j] == 0) continue;
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H += p * (float)Math.Log2(p);
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}
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dt.Rows.Add(row);
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}
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return (dt, H);
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});
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DataGridTask2.ItemsSource = result.dt.DefaultView;
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CombinedEntropyLabel.Content = (-result.H).ToString();
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double max = (1 / 256.0) * Math.Log2(1 / 256.0) * -256;
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MaxEntropy2AmountLabel.Content = max.ToString();
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Coefficient2.Content = ((max + result.H) / max).ToString();
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}
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private async Task CalculateTask3()
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{
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var result = await Task.Run(() =>
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{
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Total = 0;
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float[] Hm = new float[256];
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float H = 0;
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float[] check = new float[255];
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DataTable dt = new DataTable();
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for (int i = 0; i < File.Length - 1; i++)
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{
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if (File[i + 1] > 255 || File[i] > 255) continue;
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CountPair[File[i], File[i + 1]]++;
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Total++;
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}
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dt.Columns.Add("Char", typeof(string));
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for (int i = 0; i < CountPair.GetLength(0); i++)
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dt.Columns.Add(i.ToString(), typeof(float));
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for (int i = 0; i < CountPair.GetLength(0); i++)
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{
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Total = Enumerable.Range(0, CountPair.GetLength(1)).Select(col => CountPair[i, col]).Sum();
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if (Total == 0) continue;
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DataRow row = dt.NewRow();
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row[0] = i.ToString();
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for (int j = 0; j < CountPair.GetLength(1); j++)
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{
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float p = (float)CountPair[i, j] / Total;
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ConditionalProbability[i, j] = p;
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check[i] += p;
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row[j + 1] = Math.Round(p * 1000) / 1000;
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if (CountPair[i, j] == 0) continue;
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Hm[i] += p * (float)Math.Log2(p);
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}
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dt.Rows.Add(row);
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H += Hm[i] * Probability[i];
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}
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return (dt, H);
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});
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DataGridTask3.ItemsSource = result.dt.DefaultView;
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ConditionalEntropyLabel.Content = (-result.H).ToString();
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double max = (1 / 256.0) * Math.Log2(1 / 256.0) * -256;
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MaxEntropy3AmountLabel.Content = max.ToString();
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Coefficient3.Content = ((max + result.H) / max).ToString();
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}
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private void DataGridTask1_SelectedCellsChanged(object sender, SelectedCellsChangedEventArgs e)
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{
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if (e.AddedCells.Count > 0)
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{
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var cellInfo = e.AddedCells[0];
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if (cellInfo.Item is System.Data.DataRowView rowView)
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{
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int colIndex = cellInfo.Column.DisplayIndex - 1;
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Task1Helper.Content = ((Char)colIndex).ToString() + " " + Probability[colIndex + 1].ToString();
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}
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}
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}
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private void DataGridTask2_SelectedCellsChanged(object sender, SelectedCellsChangedEventArgs e)
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{
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if (e.AddedCells.Count > 0)
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{
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var cellInfo = e.AddedCells[0];
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if (cellInfo.Item is System.Data.DataRowView rowView)
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{
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int rowIndex = rowView.DataView.Table.Rows.IndexOf(rowView.Row);
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int colIndex = cellInfo.Column.DisplayIndex - 1;
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Task2Helper.Content = ((Char)rowIndex).ToString() + ((Char)colIndex).ToString() + " " + CombinedProbability[rowIndex, colIndex].ToString();
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}
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}
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}
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private void DataGridTask3_SelectedCellsChanged(object sender, SelectedCellsChangedEventArgs e)
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{
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if (e.AddedCells.Count > 0)
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{
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var cellInfo = e.AddedCells[0];
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if (cellInfo.Item is System.Data.DataRowView rowView)
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{
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int rowIndex = rowView.DataView.Table.Rows.IndexOf(rowView.Row);
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int colIndex = cellInfo.Column.DisplayIndex - 1;
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Task3Helper.Content = ((Char)rowIndex).ToString() + ((Char)colIndex).ToString() + " " + ConditionalProbability[rowIndex, colIndex].ToString();
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}
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}
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}
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}
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