static void ReleaseMain(string[] args)
{
Console.Write("Text> ");
string text;
string input = Console.ReadLine().ToUpper().Replace(" ", "").ToUpper();
if (input[0] == '\\')
{
text = GetTextFromFile(input.Substring(1)).ToUpper();
}
else
{
text = input;
}
foreach (char c in text)
{
if (!validCharacters.Contains(c))
{
Console.WriteLine($"Error: Invalid character in text ({c})");
return;
}
}
int keyLengthSelection = KeyLengthSelection(text);
Console.Write("Automatically decipher text (0/1)?> ");
bool autoDecipher = int.Parse(Console.ReadLine()) != 0;
if (autoDecipher)
{
string[] offsetTextSelections = FrequencyAnalysis.SplitTextByOffset(text, keyLengthSelection);
string[] decipheredStrings = new string[offsetTextSelections.Length];
int[] shiftAmounts = new int[offsetTextSelections.Length];
for (int i = 0; i < decipheredStrings.Length; i++)
{
string selection = offsetTextSelections[i];
double _;
Dictionary <char, double> selectionProportions = FrequencyAnalysis.CharFrequencyToCharProportion(FrequencyAnalysis.GetTextCharFrequency(selection));
Dictionary <char, char> optimalMapping = FrequencyAnalysis.GetOptimalCharacterMapping(selectionProportions,
EnglishLetterFrequency.GetLetterProportions(),
out _,
out shiftAmounts[i]);
decipheredStrings[i] = FrequencyAnalysis.DecipherTextByMapping(selection, optimalMapping);
}
string fullDeciphering = FrequencyAnalysis.ReconstructTextFromOffsetSelections(decipheredStrings);
Console.WriteLine("Keyword: " + ProgramMath.GetKeywordFromOffsets(shiftAmounts));
Console.WriteLine("Deciphered Text:");
Console.WriteLine(fullDeciphering);
}
else
{
string keyword;
string fullDeciphering = ManualMappingDeciphering.RunDeciphering(text,
keyLengthSelection,
out keyword);
Console.WriteLine("Keyword: " + keyword);
Console.WriteLine("Deciphered Text:");
Console.WriteLine(fullDeciphering);
}
}
public static string RunDeciphering(string originalText,
int keyLength,
out string keyword)
{
//TODO: allow for keyLength bigger than seperateKeyColors.Length
Debug.Assert(keyLength < seperateKeyColors.Length);
string[] originalSelections = FrequencyAnalysis.SplitTextByOffset(originalText, keyLength);
int[] selectionShifts = new int[originalSelections.Length];
for (int i = 0; i < originalSelections.Length; i++)
{
selectionShifts[i] = 0;
}
#region Instructions
PrintSeperator();
Console.WriteLine("To shift a selection with id i by n (n can be negative), use \"{i}:{n}\"");
Console.WriteLine("To set the current mapping to a calculated optimal mapping, use SET OPTIMAL");
Console.WriteLine("To print the text in one color, use PRINT PLAIN");
PrintSeperator();
for (int i = 0; i < keyLength; i++)
{
Console.ForegroundColor = seperateKeyColors[i];
Console.Write(i + " ");
}
Console.ForegroundColor = defaultConsoleColor;
Console.WriteLine();
PrintSeperator();
#endregion
bool running = true;
while (running)
{
Console.WriteLine("Current Keyword: " + ProgramMath.GetKeywordFromOffsets(selectionShifts));
Console.WriteLine("Current Text:");
PrintColoredTextByKey(ConstructCurrentDeciphering(originalSelections, selectionShifts),
keyLength);
Console.Write("> ");
string inputRequest = Console.ReadLine().ToUpper();
if (inputRequest == "" || inputRequest == "END")
{
running = false;
}
else if (Regex.IsMatch(inputRequest, @"^\d+:-?\d+$", RegexOptions.IgnoreCase))
{
string[] parts = inputRequest.Split(':');
Debug.Assert(parts.Length == 2);
int selectionId = int.Parse(parts[0]);
int shiftAmount = int.Parse(parts[1]);
if (selectionId < 0 ||
selectionId >= originalSelections.Length)
{
Console.WriteLine("Invalid selection id");
}
else
{
selectionShifts[selectionId] = (selectionShifts[selectionId] + shiftAmount + Program.validCharacters.Length) % Program.validCharacters.Length;
}
}
else if (inputRequest == "SET OPTIMAL" || inputRequest == "SETOPTIMAL")
{
for (int selectionIndex = 0; selectionIndex < originalSelections.Length; selectionIndex++)
{
string selection = originalSelections[selectionIndex];
Dictionary <char, double> selectionProportions = FrequencyAnalysis.CharFrequencyToCharProportion(FrequencyAnalysis.GetTextCharFrequency(selection));
double _;
int optimalShiftAmount;
FrequencyAnalysis.GetOptimalCharacterMapping(selectionProportions,
EnglishLetterFrequency.GetLetterProportions(),
out _,
out optimalShiftAmount);
selectionShifts[selectionIndex] = optimalShiftAmount;
}
}
else if (inputRequest == "PRINT PLAIN" || inputRequest == "PRINTPLAIN")
{
Console.WriteLine(ConstructCurrentDeciphering(originalSelections, selectionShifts));
}
else
{
Console.WriteLine("Unknown Request");
}
}
keyword = ProgramMath.GetKeywordFromOffsets(selectionShifts);
return(ConstructCurrentDeciphering(originalSelections, selectionShifts));
}
static void DebugOptimalCharacterMappingFull()
{
Console.Write("Text> ");
string text = Console.ReadLine().ToUpper();
const bool discardSingle = true;
Repetition[] repetitions = Repetition.GetTextRepetitions(text);
Dictionary <int, int> keyLengthWeightings = KeyLengthDeduction.GetKeyLengthWeights(repetitions, discardSingle);
Dictionary <int, int> factoredWeightings = KeyLengthDeduction.GetFactoredKeyLengthWeights(keyLengthWeightings);
const int topLengthsCount = 7;
Dictionary <int, int> topLengths = ProgramMath.GetTopDictionaryKeysByValue(factoredWeightings, topLengthsCount);
Console.WriteLine();
Console.WriteLine("Top Key Lengths:");
foreach (int length in topLengths.Keys)
{
Console.WriteLine($"{length} (weighting = {topLengths[length]})");
}
Console.Write("Select chosen key length> ");
int keyLengthSelection = int.Parse(Console.ReadLine());
string[] selections = FrequencyAnalysis.SplitTextByOffset(text, keyLengthSelection);
Console.WriteLine();
Console.WriteLine("Text Offset Selections:");
for (int i = 0; i < selections.Length; i++)
{
Console.WriteLine(i + ") " + selections[i]);
}
Console.Write("Select text offset selection> ");
int offsetSelectionIndex = int.Parse(Console.ReadLine());
Debug.Assert(0 <= offsetSelectionIndex &&
offsetSelectionIndex < selections.Length);
string selectedTextOffsetSelection = selections[offsetSelectionIndex];
Dictionary <char, double> selectionCharacterProportion = FrequencyAnalysis.CharFrequencyToCharProportion(FrequencyAnalysis.GetTextCharFrequency(selectedTextOffsetSelection));
Dictionary <char, double> englishCharacterProportions = EnglishLetterFrequency.GetLetterProportions();
double mappingDifference;
int _;
Dictionary <char, char> optimalMapping = FrequencyAnalysis.GetOptimalCharacterMapping(selectionCharacterProportion,
englishCharacterProportions,
out mappingDifference,
out _);
Console.WriteLine();
Console.WriteLine($"Mapping Difference: {mappingDifference}");
foreach (char textChar in optimalMapping.Keys)
{
Console.WriteLine($"{textChar} -> {optimalMapping[textChar]}");
}
}