Resize form to match the contents of DataGridView

Sometimes the sole purpose of a Form is to display a DataGridView. In that case, you probably want the Form to automatically resize to the size of the contents in the DataGridView. I've seen solutions that loop through all the rows and add up the height, but this is ugly, and usually does not take into account margins, padding, DividerHeight and row header padding. There must be a better way...

My strategy is to temporarily undock the DataGridView, set AutoSize to true, then capture the DataGridView's Size at that point, then restore the Dock and AutoSize property. Then use the captured size to resize the Winform:

// Within the Form class
private void AutoSizeFormToDataGridView()
{
 Size contentsSize = GetDataGridViewContentsSize();
 this.ClientSize = contentsSize;
}

protected Size GetDataGridViewContentsSize()
{
 DockStyle dockStyleSave = dataGridView1.Dock;
 dataGridView1.Dock = DockStyle.None;
 dataGridView1.AutoSize = true;
 
 Size dataContentsSize = dataGridView1.Size;
 
 dataGridView1.AutoSize = false;
 dataGridView1.Dock = dockStyleSave;
 return dataContentsSize;
}

Or alternatively you can define this as an extension method:

public static Size GetContentsSize(this DataGridView dataGrid) { //...

Enjoy!

DataTable or DataGridView to CSV or HTML file using Clipboard

It turns out that DataGridView.GetClipboardContent() returns all the selected cells of a DataGridView as a type DataObject, which is conveniently consumed by the Windows.Forms.Clipboard class, as well as other WYSIWYG editors from Microsoft. From this you can set the Clipboard, then get the clipboard various data formats, including:
- Comma separated value
- Tab separated value
- HTML

So instead of looping though columns and then rows, you can output the entire DataGridView as a CSV file in just 3 lines of code! (4 if you count setting the ClipboardCopyMode, which can be set in the Form Builder.

Here is the code:

void DataGridViewToCSV(string Filename)
{
   bool allowAddRows = dataGridView1.AllowUserToAddRows;
   bool rowHeadersVisible = dataGridView1.RowHeadersVisible;
   dataGridView1.AllowUserToAddRows = false;
   dataGridView1.RowHeadersVisible = false;

   // Choose whether to write header. You will want to do this for a CSV file.
   dataGridView1.ClipboardCopyMode = DataGridViewClipboardCopyMode.EnableAlwaysIncludeHeaderText;
   // Select the cells we want to serialize.
   dataGridView1.SelectAll(); // One could also use DataGridView.Rows[RowIndex].Selected = true;

   // Save the current state of the clipboard so we can restore it after we are done
   IDataObject objectSave = Clipboard.GetDataObject();
   // Copy (set clipboard)
   Clipboard.SetDataObject(dataGridView1.GetClipboardContent());
   // Paste (get the clipboard and serialize it to a file)
   File.WriteAllText(Filename,Clipboard.GetText(TextDataFormat.CommaSeparatedValue));
   // Restore the current state of the clipboard so the effect is seamless
   if(objectSave != null)
   {
      Clipboard.SetDataObject(objectSave);
   }
   dataGridView1.AllowUserToAddRows = allowAddRows;
   dataGridView1.RowHeadersVisible = rowHeadersVisible;
}

Some improvements

For a tab-delimited file, use the TextDataFormat.Text enum in your call to Clipboard.GetText(). You can also output your DataGridView as HTML by using TextDataFormat.Html instead of TextDataFormat.CommaSeparatedValue, but there is extra header data you have to parse out:

   string result = Clipboard.GetText(TextDataFormat.CommaSeparatedValue);
   result = result.Substring( result.IndexOf("") );

Notes:
- An object must be serializable for it to be put on the Clipboard.

An Implementation of a One-Way Hashing Algorithm using Substitution and Permutation

        This program is a one-way hashing algorithm that can be used for hashing passwords or verifying a file's integrity. Like other ciphers, it has rounds. While this particular implementation was designed to overwrite some of the information required to reverse the rounds operations to be asymmetric, the same core 'substitution' algorithm could be used to make a symmetric stream cipher by taking a different approach.
        Each round proceeds as follows: First a scrambling or mangling (sounds violent) of a substitution table is performed before substituting the plain-text (or last round's output) with values from the table chosen by the index corresponding to the plain-text character's equivalent byte value. The substituted-text is then converted into a List of bits (bool) and the list then split in half into two lists of bits. One of the lists of bits is optionally flipped (reversed) based on the value of the first bit of that list. The value of the middle bit of the other list is used to determine which list is to lead during the (next step) bit shuffling. Starting with the selected list, the bits of the two lists are interleaved (shuffled) making one list again. The bits are converted back into bytes via an extension method and used as the input for the next round.
        The substitution/cipher block step uses a variation of the RC4 cipher with the key-scheduling algorithm dropped in favor of a pseudo-random-appearing, but evenly distributed table with each number from 0 to 256 appearing exactly once. This table is deterministically populated by an initial value, IV, which is some number that is both greater than 256 and co-prime to it. Starting with zero, set each byte in the table to the value plus IV, modulus 256, in order. Then, to 'prime' the table/block, iterate over the table several thousand times with the RC4 algorithm, discarding the byte stream (in the case of RC4). In the case of my particular RC4 variant implementation, the result byte is put into the table at an index that congruent to 256 modulus the current iteration count multiplied by some co-prime of 256, in this case, 331.
        While many people believe that RC4 is well on its way to being broken, it is my hope that by using a smarter key-scheduling function with a different (larger) block size and maybe some bit country line-dancing (shuffling) will make a variant of RC4 that we all can have confidence in again. Hmm, there is already an RC5 and RC6. Maybe a good name would be RC4.1 or RC4.Awesome. RC4 and seven thirteenths? R2C2 perhaps? No, I got it: The stream cipher formally known as RC4. RC4Realz or RCL33t? Anyways, this article is not about symmetric algorithms, but rather asymmetric ones, so read on...

        Cryptography is one of my interests. I love the math behind it and I think the mechanics behind RSA are just so elegant. I often daydream that one day I will be able to come out with something incredibly clever and useful. For the past several months, I have been working on implementing several different concepts of cryptography in C#. I have wrote several classes that do one specific type of job, such as transposition, permutation or substitution. I have been toying with combinations these different methods into 'rounds', with each round getting its input from the output of the previous round.  In this post, I am proposing a one-way hashing algorithm that uses a combination of bit-shuffling (permutation) and a substitution table with logic that mangle the table based on the current state of the table. It is possible to make an asymmetric algorithm from this idea, but that is not the aim of this particular tool.

        This algorithm still has some areas that need improving. First of all, its rather slow, so hashing large files is not practical. The number of rounds has a large baring on its hash time. A smaller number of rounds is recommended for anything beyond a paragraph. The current default is 18. This is rather arbitrary, as I have not done any testing to find the optimal number of rounds. Anyone who uses less than 4 rounds will start to see some repeating characters, not to mention make their implementation more susceptible to cryptanalysis. Sometimes a lengthy hashing time can be desirable, such as a proof of work concept, or to make it more difficult to brute force. For a password-length input at 1024 rounds, it takes almost a full second.

        Another area for improvement is the permutation step; is basically just shuffles the bits by dividing the bit array in half and interleaving the bits (think a deck of cards). While there is some variation in the order, based off the input, a much better bit shuffling would probably be an expansion or compression style of permutation. See this link to Wikipedia for an visual depiction.

        Well that about sums it up, so now on to the code! Take note at how I used extension methods to take care of converting a BitArray and a Byte array into a string, and back again. This makes the code very readable and not take up nearly as many lines by reusing code. The code is pretty heavily commented, so I will just let it explaining itself:

public class AJRHash
{
 byte[] table;
 // Unsure the optimum setting for rounds.
 // No less that 4. 1024 takes around 1 second for password-length hashes.
 // Use lower setting for large hashes
 static int rounds = 18;
 static int minimumLength = 10;
 static int tableSize = 256; // Because we are using bytes
 // By choosing a co-prime to 256, we ensure we get an evenly distributed table
 static int[] coprimesOf256 = { 4489, 2209, 1369 }; // Changing the co-primes will change the hash
 
 public AJRHash()
 {
  table = new byte[tableSize];
  InitializeTable();
 }
 
 public string Hash(string Input)
 {
  // Pad the input to minimum length
  if(Input.Length<minimumLength)
  {
   List<byte> padding = new List<byte>();
   
   // Copy the input first
   if(Input.Length>0)
    padding.AddRange(Input.GetBytes());
   
   // Make up the diffrence with nulls
   int diffrence = minimumLength - Input.Length;
   while(diffrence>0)
   {
    padding.Add(0);
    diffrence--;
   }
   Input = padding.ToArray().GetString();
  }
  
  byte[] permutation = Input.GetBytes();
  byte[] substitution = new byte[Input.Length+1];
  
  int counter = rounds;
  while(counter>0)
  {
   substitution = Substitution(permutation);
   permutation  = Permutation_Interleave(substitution);
   counter--;
  }

  return Convert.ToBase64String(permutation);
 }
 
 void InitializeTable()
 {
  int prime = coprimesOf256[0];
  
  byte index = 0;
  for (int i = 0; i < tableSize; i++)
  {
   table[index] = (byte)i;
   
   unchecked // The large prime will just roll over. Essentially just modular arithmetic
   { // By choosing a co-prime to 256, we ensure we get an evenly distributed table
    index += (byte)prime;
   }
  }
  
  // Finish initializing the table by shuffling it
  ScrambleTable(prime);
 }
 
 void ScrambleTable(int iterations)
 {
  byte i = 0;
  byte j = 0;
  byte k = 0;
  byte l = 0;
  
  byte iteration = 0;
  int counter = iterations;
  
  // Just roll over on overflow
  unchecked
  {
   // Some initial values
   j=table[table.Length/2];
   i=table[j];

   // Use the current state of the table to determine how it is changed
   while(counter>0)
   {
    i++;
    l=(byte)(table[i]+1);
    j=(byte)(j+l+1);
    
    table[i] = (byte)(j + 3);
    table[j] = (byte)(l - 1);
    
    k = (byte)( (table[i] + table[j]));
    l = (byte)(k % 255);
    
    table[k] = (byte)(table[k]+1);
    
    k = table[l];
    l = table[iteration];
    
    table[(byte)(iteration*331)] = (byte)(k ^ l);
    
    counter--;
    iteration++;
   }
  }
 }
 
 byte[] Substitution(byte[] input)
 {
  // Shuffle the table by an ammount unique to the input
  ScrambleTable(input.Length*input[0]);
  
  // Apply input against the substitution table
  List<byte> result = new List<byte>();
  foreach(byte b in input)
  {
   result.Add( table[(int)b] );
  }
  
  return result.ToArray();
 }
 
 // TODO: Add more robust bit shuffling/permutation such as compression or expansion
 byte[] Permutation_Interleave(byte[] input)
 {
  // Convert input into an array of bits
  BitArray temp = new BitArray(input);
  List<bool> bits = temp.GetList();
  
  // Ensure we have an even number of bits
  if(bits.Count%2 != 0)
   bits.Add(false);
  
  // Split the input up into two arrays of bits
  List<bool[]> split = bits.Split();
  
  // Make sure we have at least two arrays to interleave
  if(split.Count<2)
   throw new Exception("Input is too short.");
  
  bool[] one = split[0];
  bool[] two = split[1];
  
  // Ensure both arrays are the same length
  if(one.Length != two.Length)
   throw new Exception("Lengths must match.");
  
  // If the first bit of two is 1, reverse it.
  //   This makes the deterministic shuffling more difficult to reverse 
  if(two[0])
   Array.Reverse(two);
  
  // If the 'middle' bit of one is 1, take from two first.
  //   This makes the deterministic shuffling more difficult to reverse
  bool SecondFirst = false;
  if(one[one.Length/2])
   SecondFirst = true;
  
  // Interleave the two arrays
  int counter = 0;
  List<bool> result = new List<bool>();
  while(counter<one.Length)
  {
   // Two possible ways to order (decided above)
   if(SecondFirst)
   {
    result.Add(two[counter]);
    result.Add(one[counter]);
   }
   else
   {
    result.Add(one[counter]);
    result.Add(two[counter]);
   }
   counter++;
  }
  
  return new BitArray(result.ToArray()).GetBytes();
 }
}

I also wrote a few extension methods to help with all the tedious converting of data types. Extension methods can help keep you code tidy, readable. Don't forget to add these extension methods, or the above code wont compile:

public static class ExtentionMethods
{
 public static byte[] GetBytes(this string Input)
 {
  if(Input == null) return new byte[0];   
  return Encoding.UTF8.GetBytes(Input);
 }
 
 public static string GetString(this byte[] Input)
 {
  if(Input == null) return string.Empty;   
  return Encoding.UTF8.GetString(Input);
 }
 
 public static string GetString(this BitArray Input)
 {
  if(Input == null) return string.Empty;   
  return Encoding.UTF8.GetString(Input.GetBytes());
 }
 
 public static byte[] GetBytes(this BitArray Input)
 {
  if(Input == null) return new byte[0];   
  int lengthInBytes = (Input.Length%8==0) ? Input.Length/8 : (Input.Length/8)+1;
  
  byte[] result = new byte[lengthInBytes];
  Input.CopyTo(result,0);
  return result;
 }
 
 public static bool[] GetArray(this BitArray Input)
 {
  if(Input == null) return new bool[0];   
  return Input.GetList().ToArray();
 }
 
 public static List<bool> GetList(this BitArray Input)
 {
  if(Input == null) return new List<bool>();
  
  List<bool> result = new List<bool>();
  foreach(bool b in Input)
  {
   result.Add(b);
  }   
  return result;
 }
 
 public static List<bool[]> Split(this List<bool> Input)
 {
  if(Input == null) return new List<bool[]>();
  
  int midpoint = (Input.Count/2);
  List<bool> result1 = new List<bool>();
  List<bool> result2 = new List<bool>();
  
  int counter = 0;
  foreach(bool b in Input)
  {
   if(counter<midpoint)
   {
    result1.Add(b);
   }
   else
   {
    result2.Add(b);
   }    
   counter++;
  }
  
  List<bool[]> result = new List<bool[]>();
  result.Add(result1.ToArray());
  result.Add(result2.ToArray());
  return result;   
 }
}

Captcha: Drawing Text along a Bézier Spline

The following post/code will achieve something to the effect of:

All this code, and this article was inspired by planetclegg.com/projects/WarpingTextToSplines.html.
Explanation of the math and why it works will come shortly. In the meantime, please see the above link for a detailed explanation.

This code assumes you have already drawn some text on your GraphicsPath. Here is the code to transform your GraphicsPath text to follow a cubic Bézier Spline:

GraphicsPath BezierWarp(GraphicsPath text,Size size)
{
 // Control points for a cubic Bézier spline
 PointF P0 = new PointF();
 PointF P1 = new PointF();
 PointF P2 = new PointF();
 PointF P3 = new PointF();
 
 float shrink = 20;
 float shift = 0;
 
 P0.X = shrink;
 P0.Y = shrink+shift;
 P1.X = size.Width-shrink;
 P1.Y = shrink;
 P2.X = shrink;
 P2.Y = size.Height-shrink;
 P3.X = size.Width-shrink;
 P3.Y = size.Height-shrink-shift;

 // Calculate coefficients A thru H from the control points
 float A = P3.X - 3 * P2.X + 3 * P1.X - P0.X;
 float B = 3 * P2.X - 6 * P1.X + 3 * P0.X;
 float C = 3 * P1.X - 3 * P0.X;
 float D = P0.X;

 float E = P3.Y - 3 * P2.Y + 3 * P1.Y - P0.Y;
 float F = 3 * P2.Y - 6 * P1.Y + 3 * P0.Y;
 float G = 3 * P1.Y - 3 * P0.Y;
 float H = P0.Y;

 PointF[] pathPoints = text.PathPoints;
 RectangleF textBounds = text.GetBounds();
 
 for (int i =0; i  < pathPoints.Length; i++)
 {
  PointF pt = pathPoints[i];
  float textX = pt.X;
  float textY = pt.Y;
  
  // Normalize the x coordinate into the parameterized
  // value with a domain between 0 and 1.
  float t  =  textX / textBounds.Width;
  float t2 = (t * t);
  float t3 = (t * t * t);
  
  // Calculate spline point for parameter t
  float Sx = A * t3 + B * t2 + C * t + D;
  float Sy = E * t3 + F * t2 + G * t + H;
  
  // Calculate the tangent vector for the point
  float Tx = 3 * A * t2 + 2 * B * t + C;
  float Ty = 3 * E * t2 + 2 * F * t + G;

  // Rotate 90 or 270 degrees to make it a perpendicular
  float Px = - Ty;
  float Py =   Tx;
  
  // Normalize the perpendicular into a unit vector
  float magnitude = (float)Math.Sqrt((Px*Px) + (Py*Py));
  Px /= magnitude;
  Py /= magnitude;
  
  // Assume that input text point y coord is the "height" or
  // distance from the spline.  Multiply the perpendicular
  // vector with y. it becomes the new magnitude of the vector
  Px *= textY;
  Py *= textY;
  
  // Translate the spline point using the resultant vector
  float finalX = Px + Sx;
  float finalY = Py + Sy;
  
  pathPoints[i] = new PointF(finalX, finalY);
 }
 
 return new GraphicsPath(pathPoints,text.PathTypes);
}

Convert a Class or List of Class to a DataTable, using reflection.

Note by author:

   Since writing this, I have expanded on this idea quite a bit. I have written a lightweight ORM class library that I call EntityJustWorks.
   The full project can be found on GitHub or CodePlex.


   EntityJustWorks not only goes from a class to DataTable (below), but also provides:

• Populate the public properties of a class from a DataTable

• DataTable to class as a C# code file (using CodeDOM)

• DataTable to class Assembly (using Reflection.Emit)

• C# class to a SQL 'CREATE TABLE' or 'INSERT INTO' script

• SQL 'SELECT' statement to a List<T> of populated classes, each one resembling a row

Security Warning:
This library generates dynamic SQL, and has functions that generate SQL and then immediately executes it. While it its true that all strings funnel through the function Helper.EscapeSingleQuotes, this can be defeated in various ways and only parameterized SQL should be considered SAFE. If you have no need for them, I recommend stripping semicolons ; and dashes --. Also there are some Unicode characters that can be interpreted as a single quote or may be converted to one when changing encodings. Additionally, there are Unicode characters that can crash .NET code, but mainly controls (think TextBox). You almost certainly should impose a white list:
string clean = new string(dirty.Where(c => "abcdefghijklmnopqrstuvwxyz0123456789.,\"_ !@".Contains(c)).ToArray());

PLEASE USE the SQLScript.StoredProcedure and DatabaseQuery.StoredProcedure classes to generate SQL for you, as the scripts it produces is parameterized. All of the functions can be altered to generate parameterized instead of sanitized scripts. Ever since people have started using this, I have been maintaining backwards compatibility. However, I may break this in the future, as I do not wish to teach one who is learning dangerous/bad habits. This project is a few years old, and its already showing its age. What is probably needed here is a total re-write, deprecating this version while keep it available for legacy users after slapping big warnings all over the place. This project was designed to generate the SQL scripts for standing up a database for a project, using only MY input as data. This project was never designed to process a USER'S input.! Even if the data isn't coming from an adversary, client/user/manually entered data is notoriously inconsistent. Please do not use this code on any input that did not come from you, without first implementing parameterization. Again, please see the SQLScript.StoredProcedure class for inspiration on how to do that.

    This class uses generics to accepts a class type, and uses reflection to determine the name and type of the class's public properties. With that, a new DataTable is made and the DataColumnCollection is fleshed out. Then you can add rows to the DataTable by passing instances of the class with it's property fields containing values.

    Finally, we serialize the DataTable to an XML file, save it's Schema, then load it all back in again as a proof of concept.


Usage example:

List<Order> orders = new List<Order>();

// Fill in orders here ...
// orders.Add(new Order());

// Convert class to DataTable
DataTable ordersTable = ClassListToDataTable(orders);

// Set DataGrid's DataSource to DataTable
dataGrid1.DataSource = ordersTable;

Here is the Code:

public static DataTable ClassToDataTable<T>() where T : class
{
    Type classType = typeof(T);

    List<PropertyInfo> propertyList = classType.GetProperties().ToList();
    if (propertyList.Count < 1)
    {
        return new DataTable();
    }

    string className = classType.UnderlyingSystemType.Name;
    DataTable result = new DataTable(className);

    foreach (PropertyInfo property in propertyList)
    {
        DataColumn col = new DataColumn();
        col.ColumnName = property.Name;

        Type dataType = property.PropertyType;

        if (IsNullable(dataType))
        {
            if(dataType.IsGenericType)
            {
                dataType = dataType.GenericTypeArguments.FirstOrDefault();
            }
        }
        else
        {   // True by default
            col.AllowDBNull = false;
        }

        col.DataType = dataType;

        result.Columns.Add(col);
    }

    return result;
}

public static DataTable ClassListToDataTable<T>(List<T> ClassList) where T : class
{
   DataTable result = ClassToDataTable<T>();
   
   if(result.Columns.Count < 1)
   {
      return new DataTable();
   }
   if(ClassList.Count < 1)
   {
      return result;
   }
   
   foreach(T item in ClassList)
   {
      ClassToDataRow(ref result, item);
   }
   
   return result;
}

public static void ClassToDataRow<T>(ref DataTable Table, T Data) where T : class
{
    Type classType = typeof(T);
    string className = classType.UnderlyingSystemType.Name;

    // Checks that the table name matches the name of the class. 
    // There is not required, and it may be desirable to disable this check.
    // Comment this out or add a boolean to the parameters to disable this check.
    if (!Table.TableName.Equals(className))
    {
        return;
    }

    DataRow row = Table.NewRow();
    List<PropertyInfo> propertyList = classType.GetProperties().ToList();

    foreach (PropertyInfo prop in propertyList)
    {
        if (Table.Columns.Contains(prop.Name))
        {
            if (Table.Columns[prop.Name] != null)
            {
                row[prop.Name] = prop.GetValue(Data, null);
            }
        }
    }
    Table.Rows.Add(row);
}

public static bool IsNullable(Type Input)
{
    if (!Input.IsValueType) return true; // Is a ref-type, such as a class
    if (Nullable.GetUnderlyingType(Input) != null) return true; // Nullable
    return false; // Must be a value-type
}

Here is an example of how to serialize a DataTable to XML, and load it back again

string filePath = "order1.xml";
string schemaPath = Path.ChangeExtension(filePath,".xsd");

ordersTable.WriteXml(filePath);
ordersTable.WriteXmlSchema(schemaPath);

// Load
DataTable loadedTable = new DataTable();
loadedTable.ReadXmlSchema(schemaPath);
loadedTable.ReadXml(filePath);

// Set DataGrid's DataSource
dataGrid1.DataSource = dataTable;

The full project and source code for EntityJustWorks can be found on GitHub and CodePlex.

Procedural generation of cave-like maps for rogue-like games

This post is about procedural content generation of cave-like dungeons/maps for rogue-like games using what is known as the Cellular Automata method.

To understand what I mean by cellular automata method, imagine Conway's Game of Life. Many algorithms use what is called the '4-5 method', which means a tile will become a wall if it is a wall and 4 or more of its nine neighbors are walls, or if it is not a wall and 5 or more neighbors are walls. I start by filling the map randomly with walls or space, then visit each x/y position iteratively and apply the 4-5 rule. Usually this is preceded with 'seeding' the map by randomly filling each cell of the map with a wall or space, based on some weight (say, 40% of the time it chooses to place a wall). Then the automata step is applied multiple times over the entire map, precipitating walls and subsequently smoothing them. About 3 rounds is all that is required, with about 4-5 rounds being pretty typical amongst most implementations. Perhaps a picture of the the output will help you understand what I mean.

Using the automata-based method for procedural generation of levels will produce something similar to this:

Sure the dungeon generation by linking rooms approach has its place, but I really like the 'natural' look to the automata inspired method. I first originally discovered this technique on the website called Roguebasin. It is a great resource for information concerning the different problems involved with programming a rogue-like game, such as Nethack or Angband.

One of the major problems developers run into while employing this technique is the formation of isolated caves. Instead of one big cave-like room, you may get section of the map that is inaccessible without digging through walls. Isolated caves can trap key items or (worse) stairs leading to the next level, preventing further progress in the game. I have seen many different approaches proposed to solve this problem. Some suggestions I've seen include: 1) Discarding maps that have isolated caves, filling in the isolated sections, or finely tweaking the variables/rules to reduce occurrences of such maps. None of these are ideal (in my mind), and most require a way to detect isolated sections, which is another non-trivial problem in itself.

Despite this, I consider the problem solved because I have discovered a solution that is dead simple and almost** never fail because of the rules of the automata generation itself dictate such. I call my method 'Horizontal Blanking' because you can probably guess how it works now just from hearing the name. This step comes after the random filling of the map (initialization), but before the cellular automata iterations. After the map is 'seeded' with a random fill of walls, a horizontal strip in the middle of of the map is cleared of all walls. The horizontal strip is about 3 or 4 block tall (depending on rules). Clearing a horizontal strip of sufficient width will prevent a continuous vertical wall from being created and forming isolated caves in your maps. After horizontal blanking, you can begin applying the cellular automata method to your map.

** I say 'almost' because although it it not possible to get whole rooms that are disconnected from each other, it is possible to get tiny squares of blank space in the northern or southern walls that consist of about 4-5 blocks in total area. Often, these little holes will resolve themselves during the rounds of automata rules, but there still exists the possibility that one may persist. My answer to this edge case would be to use some rules around the placement of stairwells (and other must-find items) dictating that such objects must have a 2-3 block radius clear of walls to be placed.


See below for the code that produced the above screenshot, or click here to download the entire project with source code that you can compile yourself.

public class MapHandler
{
 Random rand = new Random();
 
 public int[,] Map;
 
 public int MapWidth   { get; set; }
 public int MapHeight  { get; set; }
 public int PercentAreWalls { get; set; }
 
 public MapHandler()
 {
  MapWidth = 40;
  MapHeight = 21;
  PercentAreWalls = 40;
  
  RandomFillMap();
 }

 public void MakeCaverns()
 {
  // By initilizing column in the outter loop, its only created ONCE
  for(int column=0, row=0; row <= MapHeight-1; row++)
  {
   for(column = 0; column <= MapWidth-1; column++)
   {
    Map[column,row] = PlaceWallLogic(column,row);
   }
  }
 }
 
 public int PlaceWallLogic(int x,int y)
 {
  int numWalls = GetAdjacentWalls(x,y,1,1);

  
  if(Map[x,y]==1)
  {
   if( numWalls >= 4 )
   {
    return 1;
   }
   return 0;   
  }
  else
  {
   if(numWalls>=5)
   {
    return 1;
   }
  }
  return 0;
 }
 
 public int GetAdjacentWalls(int x,int y,int scopeX,int scopeY)
 {
  int startX = x - scopeX;
  int startY = y - scopeY;
  int endX = x + scopeX;
  int endY = y + scopeY;
  
  int iX = startX;
  int iY = startY;
  
  int wallCounter = 0;
  
  for(iY = startY; iY <= endY; iY++) {
   for(iX = startX; iX <= endX; iX++)
   {
    if(!(iX==x && iY==y))
    {
     if(IsWall(iX,iY))
     {
      wallCounter += 1;
     }
    }
   }
  }
  return wallCounter;
 }
 
 bool IsWall(int x,int y)
 {
  // Consider out-of-bound a wall
  if( IsOutOfBounds(x,y) )
  {
   return true;
  }
  
  if( Map[x,y]==1  )
  {
   return true;
  }
  
  if( Map[x,y]==0  )
  {
   return false;
  }
  return false;
 }
 
 bool IsOutOfBounds(int x, int y)
 {
  if( x<0 data-blogger-escaped-else="" data-blogger-escaped-if="" data-blogger-escaped-return="" data-blogger-escaped-true="" data-blogger-escaped-x="" data-blogger-escaped-y="">MapWidth-1 || y>MapHeight-1 )
  {
   return true;
  }
  return false;
 }

Above is the main core of the logic.


Here is the rest of the program, such as filling, printing and blanking:

 
 public void PrintMap()
 {
  Console.Clear();
  Console.Write(MapToString());
 }
 
 string MapToString()
 {
  string returnString = string.Join(" ", // Seperator between each element
                                    "Width:",
                                    MapWidth.ToString(),
                                    "\tHeight:",
                                    MapHeight.ToString(),
                                    "\t% Walls:",
                                    PercentAreWalls.ToString(),
                                    Environment.NewLine
                                   );
  
  List<string> mapSymbols = new List();
  mapSymbols.Add(".");
  mapSymbols.Add("#");
  mapSymbols.Add("+");
  
  for(int column=0,row=0; row < MapHeight; row++ ) {
   for( column = 0; column < MapWidth; column++ )
   {
    returnString += mapSymbols[Map[column,row]];
   }
   returnString += Environment.NewLine;
  }
  return returnString;
 }
 
 public void BlankMap()
 {
  for(int column=0,row=0; row < MapHeight; row++) {
   for(column = 0; column < MapWidth; column++) {
    Map[column,row] = 0;
   }
  }
 }
 
 public void RandomFillMap()
 {
      // New, empty map
      Map = new int[MapWidth,MapHeight];
  
      int mapMiddle = 0; // Temp variable
      for(int column=0,row=0; row < MapHeight; row++) {
         for(column = 0; column < MapWidth; column++)
         {
       // If coordinants lie on the edge of the map
       // (creates a border)
       if(column == 0)
       {
      Map[column,row] = 1;
       }
       else if (row == 0)
       {
      Map[column,row] = 1;
       }
       else if (column == MapWidth-1)
       {
      Map[column,row] = 1;
       }
       else if (row == MapHeight-1)
       {
      Map[column,row] = 1;
       }
       // Else, fill with a wall a random percent of the time
       else
       {
      mapMiddle = (MapHeight / 2);
    
      if(row == mapMiddle)
      {
     Map[column,row] = 0;
      }
      else
      {
     Map[column,row] = RandomPercent(PercentAreWalls);
      }
       }
   }
      }
 }

 int RandomPercent(int percent)
 {
  if(percent>=rand.Next(1,101))
  {
   return 1;
  }
  return 0;
 }
 
 public MapHandler(int mapWidth, int mapHeight, int[,] map, int percentWalls=40)
 {
  this.MapWidth = mapWidth;
  this.MapHeight = mapHeight;
  this.PercentAreWalls = percentWalls;
  this.Map = new int[this.MapWidth,this.MapHeight];
  this.Map = map;
 }
}

And of course, the main function:

 
public static void Main(string[] args)
{
 char key  = new Char();
 MapHandler Map = new MapHandler();
 
 string instructions =
  "[Q]uit [N]ew [+][-]Percent walls [R]andom [B]lank" + Environment.NewLine +
  "Press any other key to smooth/step";

 Map.MakeCaverns();
 Map.PrintMap();
 Console.WriteLine(instructions);
 
 key = Char.ToUpper(Console.ReadKey(true).KeyChar);
 while(!key.Equals('Q'))
 {
  if(key.Equals('+')) {
   Map.PercentAreWalls+=1;
   Map.RandomFillMap();
   Map.MakeCaverns();
   Map.PrintMap();
  } else if(key.Equals('-')) {
   Map.PercentAreWalls-=1;
   Map.RandomFillMap();
   Map.MakeCaverns();
   Map.PrintMap();
  } else if(key.Equals('R')) {
   Map.RandomFillMap();
   Map.PrintMap();
  } else if(key.Equals('N')) {
   Map.RandomFillMap();
   Map.MakeCaverns();
   Map.PrintMap();
  } else if(key.Equals('B')) {
   Map.BlankMap();
   Map.PrintMap();
  } else if(key.Equals('D')) {
   // I set a breakpoint here...
  } else {
   Map.MakeCaverns();
   Map.PrintMap();
  }
  Console.WriteLine(instructions);
  key = Char.ToUpper(Console.ReadKey(true).KeyChar);
 }
 Console.Clear();
 Console.Write(" Thank you for playing!");
 Console.ReadKey(true);
}

See also: Roguebasin - Cellular Automata Method for Generating Random Cave-Like Levels

XML Serializable Dictionary, Tuple, and Object

Serializing a data class to an XML file using XmlSerializer is very useful. However, some of the most useful data classes in .NET are not serializable. Dictionary and Tuple most notably. If you looking for a blog post on how to make a Dictionary that accepts duplicate keys by storing the values values with identical keys in a List, please see this blog post.

The below SerializableDictionary class works by inheriting from IXmlSerializable, which requires you implement the following three methods:
* GetSchema() - Remember, you should always return null for this function.
* ReadXml(XmlReader reader)
* WriteXml(XmlWriter writer)
(Read about IXmlSerializable on MSDN)

Here is the code to serialize a dictionary or serialize a tuple:

namespace XMLSerializableDictionary
{
    using System;
    using System.Collections.Generic;
    using System.Runtime.Serialization;
    using System.Xml;
    using System.Xml.Schema;
    using System.Xml.Serialization;

     [Serializable]
    [XmlRoot("Dictionary")]
    public class SerializableDictionary<TKey, TValue>
        : Dictionary<TKey, TValue>, IXmlSerializable
    {
        private const string DefaultTagItem = "Item";
        private const string DefaultTagKey = "Key";
        private const string DefaultTagValue = "Value";
        private static readonly XmlSerializer KeySerializer =
                                        new XmlSerializer(typeof(TKey));

        private static readonly XmlSerializer ValueSerializer =
                                        new XmlSerializer(typeof(TValue));

        public SerializableDictionary() : base()
        {
        }

        protected SerializableDictionary(SerializationInfo info, StreamingContext context)
                : base(info, context)
        {
        }

        protected virtual string ItemTagName
        {
            get { return DefaultTagItem; }
        }

        protected virtual string KeyTagName
        {
            get { return DefaultTagKey; }
        }

        protected virtual string ValueTagName
        {
            get { return DefaultTagValue; }
        }

        public XmlSchema GetSchema()
        {
            return null;
        }

        public void ReadXml(XmlReader reader)
        {
            bool wasEmpty = reader.IsEmptyElement;

            reader.Read();

            if (wasEmpty)
            {
             return;
            }

            try
            {
                while (reader.NodeType != XmlNodeType.EndElement)
                {
                    reader.ReadStartElement(this.ItemTagName);
                    try
                    {
                        TKey tKey;
                        TValue tValue;

                        reader.ReadStartElement(this.KeyTagName);
                        try
                        {
                            tKey = (TKey)KeySerializer.Deserialize(reader);
                        }
                        finally
                        {
                            reader.ReadEndElement();
                        }

                        reader.ReadStartElement(this.ValueTagName);
                        try
                        {
                            tValue = (TValue)ValueSerializer.Deserialize(reader);
                        }
                        finally
                        {
                            reader.ReadEndElement();
                        }

                        this.Add(tKey, tValue);
                    }
                    finally
                    {
                        reader.ReadEndElement();
                    }

                    reader.MoveToContent();
                }
            }
            finally
            {
                reader.ReadEndElement();
            }
        }

        public void WriteXml(XmlWriter writer)
        {
            foreach (KeyValuePair<TKey, TValue> keyValuePair in this)
            {
                writer.WriteStartElement(this.ItemTagName);
                try
                {
                    writer.WriteStartElement(this.KeyTagName);
                    try
                    {
                        KeySerializer.Serialize(writer, keyValuePair.Key);
                    }
                    finally
                    {
                        writer.WriteEndElement();
                    }

                    writer.WriteStartElement(this.ValueTagName);
                    try
                    {
                        ValueSerializer.Serialize(writer, keyValuePair.Value);
                    }
                    finally
                    {
                        writer.WriteEndElement();
                    }
                }
                finally
                {
                    writer.WriteEndElement();
                }
            }
        }
    }
}

The idea behind the serializable tuple is we just make our own Tuple that stores the items by declaring the properties to represent them with their generic T type. If you are not used to working with generics, this can be a little strange. T1, T2 and T3 are just placeholders for the type that is to be determined by the calling function, or the function above that if the calling function uses generics too.

And a serializable tuple:

public class SerializableTuple<T1,T2,T3>
{
 public T1 Item1 { get; set; }
 public T2 Item2 { get; set; }
 public T3 Item3 { get; set; }
 
 public static implicit operator Tuple<T1,T2,T3>(SerializableTuple<T1,T2,T3>  st)
 {
  return Tuple.Create(st.Item1,st.Item2,st.Item3);
 }

 public static implicit operator SerializableTuple<T1,T2,T3>(Tuple<T1,T2,T3> t)
 {
  return new SerializableTuple<T1,T2,T3>() {
   Item1 = t.Item1,
   Item2 = t.Item2,
   Item3 = t.Item3
  };   
 }
 
 public SerializableTuple()
 {
 }
}

And finally, a generic object serializer and deserializer:

public static class XML
{
   public static class Serialize
   {
      public static void Object(string Filename, object obj)
      {
         using (StreamWriter streamWriter = new StreamWriter(Filename))
         {
            XmlSerializer xmlSerializer = new XmlSerializer(obj.GetType());
            xmlSerializer.Serialize(streamWriter, obj);
         }
      }
   }

   public static class DeSerialize
   {
      public static string Generic<T>(T data)
      {
         if (data == null)
            return string.Empty;

         string content = string.Empty;
         using (MemoryStream memoryStream = new MemoryStream())
         {
            XmlSerializer serializer = new XmlSerializer(typeof(T));
            serializer.Serialize(memoryStream, data);

            memoryStream.Seek(0, SeekOrigin.Begin);
            using (StreamReader reader = new StreamReader(memoryStream))
            {
               content = reader.ReadToEnd();
            }
         }
         return content;
      }

      public static object Object(string Filename, Type type)
      {
         object result = null;
         using (TextReader reader = new StringReader(Filename))
         {
            XmlSerializer serializer = new XmlSerializer(type);
            result = serializer.Deserialize(reader);
         }
         return result;
      }
   }
}

And perhaps after you serialize your data to an XML file, you would like to generate a schema XML file from it:

  
void XmlToSchema(string FileName)
{
 XmlReader xmlReader = XmlReader.Create(FileName);
 XmlSchemaSet schemaSet = new XmlSchemaSet();
 XmlSchemaInference schemaInfer = new XmlSchemaInference();
 schemaSet = schemaInfer.InferSchema(xmlReader);

 string outFilename = Path.ChangeExtension(FileName,".xsd");
 using(Stream streamOut = new FileStream(outFilename,FileMode.Create) )
 {
  TextWriter textWriter =  new StreamWriter(streamOut);    
  foreach (XmlSchema s in schemaSet.Schemas())
  {
   s.Write(textWriter );
  }
  textWriter .Close();
 }
}

Fake/Random Identity Generator

Inspiration

During my research on RSA cryptography and the importance of a truly random number for having a large key-space, I stumbled on to FakeNameGenerator.com. I thought the concept could be really useful for certain applications and could easily envision how to implement it in C#, and make it extensible/customizable.

Take a look at these:

<?xml version="1.0" standalone="yes"?>
<DocumentElement>
  <Order>
    <Date>3/18/2005</Date>
    <TrackingNumber>1Z 8A8 238 01 9398 182 1</TrackingNumber>
    <FirstName>Keaton </FirstName>
    <LastName>Day</LastName>
    <StreetAddress>4828 Cherry St.</StreetAddress>
    <City>Nanticoke</City>
    <State>SC</State>
    <Zip>89130</Zip>
    <Email>HaleHale8026@mail.com</Email>
    <Phone>425-765-4520</Phone>
  </Order>

  <Payroll>
    <PhoneNumber>971-258-5703</PhoneNumber>
    <AltPhoneNumber>501-769-1331</AltPhoneNumber>
    <FirstName>Xyla </FirstName>
    <LastName>Hoover</LastName>
    <EmployeeID>499</EmployeeID>
    <HireDate>5/28/2011</HireDate>
    <Birthdate>5/28/1990</Birthdate>
    <SSN>520-52-4275</SSN>
    <AccountNumber>5696618825</AccountNumber>
    <RoutingNumber>575159859</RoutingNumber>
    <Address>8348 Court Ave.</Address>
    <City>Pittsburgh,</City>
    <State>PA.</State>
    <Zip>15201</Zip>
  </Payroll>

 CREATE TABLE ReservationData (
  `id` mediumint(8) unsigned NOT NULL auto_increment,
  `UniqueID` MEDIUMINT default NULL,
  `TripDate` varchar(50) default NULL,
  `FirstName` varchar(255) default NULL,
  `LastName` varchar(255) default NULL,
  `Phone` varchar(100) default NULL,
  `AltPhone` varchar(100) default NULL,
  `Email` varchar(255) default NULL,
  `StreetAddress` varchar(255) default NULL,
  `City` varchar(50) default NULL,
  `State` varchar(50) default NULL,
  `Zip` varchar(10) default NULL,
  `Country` varchar(255) default NULL,
  `DayOfYear` varchar(50) default NULL,
  `TotalCost` varchar(50) default NULL,
  `Balance` varchar(10) default NULL,
  `CCard` varchar(18) default NULL,
  `Expires` varchar(5) default NULL,
  `CVC2` varchar(3) default NULL,
  PRIMARY KEY (`id`)
) TYPE=MyISAM AUTO_INCREMENT=1;

This would make great honey for a honey pot; just fill an SQL database with this random, realistic looking data, serve and log any and all attempts to access, query or dump the database. This can be done on a VM and you have a easily deployed, high interaction honeypot!

Aside from being able to see their IP address, I think the most useful data that can be attained is their behavior; what injection attacks are they using to drop the database? Write rules to prevent your honey against trivial attempts such as the ' AND 1=(SELECT attacks and see what they come up with next. Rule writing is inherently a cat-and-mouse game, honeypots like this clearly give the white-hats the upper hand.

Implementation

A quick, fast and dirty solution is to simply read a random line from a text file (i.e. Name_First.txt and Address_Street.txt).

This way, you can choose from names that are common, or customize your list to for different nationalities.

One could read the whole file in to a string, Parse() it into an array of strings, then randomly select an index, but this would be unacceptable for very large files. Instead, we can set the file pointer to a random position that is less than its size, roll back to the last new line and call ReadLine.

public string ReturnRandomLine(string FileName)
{
 string sReturn = string.Empty;
 
 using(FileStream myFile = new FileStream(FileName,FileMode.Open,FileAccess.Read))
 {
  using(StreamReader myStream = new StreamReader(myFile))
  {
   // Seek file stream pointer to a rand position...
   myStream.BaseStream.Seek(rand.Next(1,myFile.Length),SeekOrigin.Begin);
   
   // Read the rest of that line.
   myStream.ReadLine();
   
   // Return the next, full line...
   sReturn = myStream.ReadLine();
  }
 }
 
 // If our random file position was too close to the end of the file, it will return an empty string
 // I avoided a while loop in the case that the file is empty or contains only one line
 if(System.String.IsNullOrWhiteSpace(sReturn)) {
  sReturn = ReturnRandomLine(FileName);
 }
 
 return sReturn;
}

Example use:

public string GenerateFistName()
{
 return ReturnRandomLine("Name_First.txt") + " ";
}

public string GenerateLastName()
{
 return ReturnRandomLine("Name_Last.txt");
}

public string GenerateFullName()
{
 return GenerateFistName() + GenerateLastName();
}

public string GenerateGender()
{
 if(ReturnPercent(84)) {
  return "Male";
 } else {
  return "Female";
 }
}

public string GenerateStreetNumber()
{
 return rand.Next(1,9999).ToString();
}

public string GenerateStreetName()
{
 return ReturnRandomLine("Address_Street.txt");
}

One limitation is where the data is relational, such as in the case of generating a random zip code along with the city and state that it exists in.

A quick work-around would be CityZipState.txt



Other types of data that can be generated that would not make sense to put in a text file:

public bool ReturnPercent(int Percent) // Return true Percent times out of 100, randomly
{
 int iTemp = rand.Next(1,101);
 
 if(iTemp<=Percent) {
  return true;
 } else {
  return false;
 }
}

public string GenerateDate(int YearFrom,int YearTo)
{
 int Month = rand.Next(1,13);
 int Day  = rand.Next(1,32);
 int Year = GenerateYear(YearFrom,YearTo);
 
 return Month.ToString() + "/" + Day.ToString() + "/" + Year.ToString();
}

public string GenerateYear(int YearFrom,int YearTo)
{
 return rand.Next(YearFrom,YearTo+1).ToString();
}

public string GeneratePhoneNumber()
{
 return GeneratePhoneNumber(ReturnRandomLine("PhoneNumber_Prefix.txt"));
}

public string GeneratePhoneNumber(string Prefix)
{
 int iThree = rand.Next(192,999);
 int iFour = rand.Next(1000,9999);
 
 return Prefix + iThree.ToString() + "-" + iFour.ToString();
}

public string GenerateSSN()
{
 int iThree = rand.Next(132,921);
 int iTwo = rand.Next(12,83);
 int iFour = rand.Next(1423,9211);
 return iThree.ToString() + "-" + iTwo.ToString() + "-" + iFour.ToString();
}

Obviously, these methods can be improved to conform to the standards of a real social security number, national identification number, credit card number, ect...

public string GenerateCCNum()
{
 string sCCNum = string.Empty;
 
 byte[] bCCNum = {0};
 rand.NextBytes(bCCNum);
 
 // generate random 16 digit number
 int iTemp1 = rand.Next(10000000,99999999);
 int iTemp2 = rand.Next(10000000,99999999);
 string sTemp = iTemp1.ToString() + iTemp2.ToString();
 
 // while loop?
 while(!IsValidNumber(sTemp))
 {
  iTemp1 = rand.Next(10000000,99999999);
  iTemp2 = rand.Next(10000000,99999999);
  sTemp = iTemp1.ToString() + iTemp2.ToString();
 }
 
 sCCNum = sTemp;
 
 return sCCNum;
}

The implementation of IsValidNumber() is left as an exercise for the reader.

The serialization of your data is a trivial matter. Please see my post on a XML Serializable Dictionary, Tuple, and Object for the code to serialize an object (such as a list, or a class).