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Initial commit. I think this si worth keeping in it's entirety!

master
Starbeamrainbowlabs 3 years ago
commit
647b4cc0b1
7 changed files with 705 additions and 0 deletions
  1. +434
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      .gitignore
  2. +17
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      MarkovGrams.sln
  3. +41
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      MarkovGrams/MarkovGrams.csproj
  4. +85
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      MarkovGrams/NGrams.cs
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      MarkovGrams/Program.cs
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      MarkovGrams/Properties/AssemblyInfo.cs
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      MarkovGrams/UnweightedMarkovChain.cs

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.gitignore View File

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# User-specific files
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MarkovGrams.sln View File

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Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2012
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MarkovGrams", "MarkovGrams\MarkovGrams.csproj", "{14743F58-9418-4147-9C2C-0626AD7185D3}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|x86 = Debug|x86
Release|x86 = Release|x86
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{14743F58-9418-4147-9C2C-0626AD7185D3}.Debug|x86.ActiveCfg = Debug|x86
{14743F58-9418-4147-9C2C-0626AD7185D3}.Debug|x86.Build.0 = Debug|x86
{14743F58-9418-4147-9C2C-0626AD7185D3}.Release|x86.ActiveCfg = Release|x86
{14743F58-9418-4147-9C2C-0626AD7185D3}.Release|x86.Build.0 = Release|x86
EndGlobalSection
EndGlobal

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MarkovGrams/MarkovGrams.csproj View File

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<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<PropertyGroup>
<Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
<Platform Condition=" '$(Platform)' == '' ">x86</Platform>
<ProjectGuid>{14743F58-9418-4147-9C2C-0626AD7185D3}</ProjectGuid>
<OutputType>Exe</OutputType>
<RootNamespace>MarkovGrams</RootNamespace>
<AssemblyName>MarkovGrams</AssemblyName>
<TargetFrameworkVersion>v4.5</TargetFrameworkVersion>
</PropertyGroup>
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|x86' ">
<DebugSymbols>true</DebugSymbols>
<DebugType>full</DebugType>
<Optimize>false</Optimize>
<OutputPath>bin\Debug</OutputPath>
<DefineConstants>DEBUG;</DefineConstants>
<ErrorReport>prompt</ErrorReport>
<WarningLevel>4</WarningLevel>
<ExternalConsole>true</ExternalConsole>
<PlatformTarget>x86</PlatformTarget>
</PropertyGroup>
<PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|x86' ">
<Optimize>true</Optimize>
<OutputPath>bin\Release</OutputPath>
<ErrorReport>prompt</ErrorReport>
<WarningLevel>4</WarningLevel>
<ExternalConsole>true</ExternalConsole>
<PlatformTarget>x86</PlatformTarget>
</PropertyGroup>
<ItemGroup>
<Reference Include="System" />
</ItemGroup>
<ItemGroup>
<Compile Include="Program.cs" />
<Compile Include="Properties\AssemblyInfo.cs" />
<Compile Include="NGrams.cs" />
<Compile Include="UnweightedMarkovChain.cs" />
</ItemGroup>
<Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" />
</Project>

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MarkovGrams/NGrams.cs View File

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using System;
using System.Collections.Generic;
using System.Linq;
namespace MarkovGrams
{
/// <summary>
/// A collection of methods to generate various different types of n-grams.
/// </summary>
public static class NGrams
{
/// <summary>
/// Generates a unique list of n-grams that the given list of words.
/// </summary>
/// <param name="words">The words to turn into n-grams.</param>
/// <param name="order">The order of n-gram to generate..</param>
/// <returns>A unique list of n-grams found in the given list of words.</returns>
public static IEnumerable<string> GenerateFlat(IEnumerable<string> words, int order)
{
List<string> results = new List<string>();
foreach(string word in words)
{
results.AddRange(GenerateFlat(word, order));
}
return results.Distinct();
}
/// <summary>
/// Generates a unique list of n-grams from the given string.
/// </summary>
/// <param name="str">The string to n-gram-ise.</param>
/// <param name="order">The order of n-gram to generate.</param>
/// <returns>A unique list of n-grams found in the specified string.</returns>
public static IEnumerable<string> GenerateFlat(string str, int order)
{
List<string> results = new List<string>();
for(int i = 0; i < str.Length - order; i++)
{
results.Add(str.Substring(i, order));
}
return results.Distinct();
}
/// <summary>
/// Generates a dictionary of weighted n-grams from the given list of words.
/// The key is the ngram itself, and the value is the linear weight of the ngram.
/// </summary>
/// <param name="words">The words to n-gram-ise.</param>
/// <param name="order">The order of ngrams to generate.</param>
/// <returns>The weighted dictionary of ngrams.</returns>
public static Dictionary<string, int> GenerateWeighted(IEnumerable<string> words, int order)
{
Dictionary<string, int> results = new Dictionary<string, int>();
foreach(string word in words)
{
Dictionary<string, int> wordNgrams = GenerateWeighted(word, order);
foreach(KeyValuePair<string, int> ngram in wordNgrams)
{
if(!results.ContainsKey(ngram.Key))
results[ngram.Key] = 0;
results[ngram.Key] += ngram.Value;
}
}
return results;
}
/// <summary>
/// Generates a dictionary of weighted n-grams from the specified string.
/// </summary>
/// <param name="str">The string to n-gram-ise.</param>
/// <param name="order">The order of n-grams to generate.</param>
/// <returns>The weighted dictionary of ngrams.</returns>
public static Dictionary<string, int> GenerateWeighted(string str, int order)
{
Dictionary<string, int> results = new Dictionary<string, int>();
for(int i = 0; i < str.Length - order; i++)
{
string ngram = str.Substring(i, order);
if(!results.ContainsKey(ngram))
results[ngram] = 0;
results[ngram]++;
}
return results;
}
}
}

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MarkovGrams/Program.cs View File

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using System;
using System.Collections.Generic;
using System.IO;
namespace MarkovGrams
{
class MainClass
{
public static void Main(string[] args)
{
if(args.Length != 3)
{
Console.WriteLine("Usage:");
Console.WriteLine(" ./MarkovGrams.exe <wordlist.txt> <order> <length>");
return;
}
string wordlistFilename = args[0];
int order = int.Parse(args[1]);
int desiredStringLength = int.Parse(args[2]);
IEnumerable<string> words = File.ReadLines(wordlistFilename);
IEnumerable<string> ngrams = NGrams.GenerateFlat(words, order);
UnweightedMarkovChain chain = new UnweightedMarkovChain(ngrams);
Console.WriteLine(chain.Generate(desiredStringLength));
}
}
}

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MarkovGrams/Properties/AssemblyInfo.cs View File

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using System.Reflection;
using System.Runtime.CompilerServices;
// Information about this assembly is defined by the following attributes.
// Change them to the values specific to your project.
[assembly: AssemblyTitle("MarkovGrams")]
[assembly: AssemblyDescription("")]
[assembly: AssemblyConfiguration("")]
[assembly: AssemblyCompany("")]
[assembly: AssemblyProduct("")]
[assembly: AssemblyCopyright("sbrl")]
[assembly: AssemblyTrademark("")]
[assembly: AssemblyCulture("")]
// The assembly version has the format "{Major}.{Minor}.{Build}.{Revision}".
// The form "{Major}.{Minor}.*" will automatically update the build and revision,
// and "{Major}.{Minor}.{Build}.*" will update just the revision.
[assembly: AssemblyVersion("1.0.*")]
// The following attributes are used to specify the signing key for the assembly,
// if desired. See the Mono documentation for more information about signing.
//[assembly: AssemblyDelaySign(false)]
//[assembly: AssemblyKeyFile("")]

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MarkovGrams/UnweightedMarkovChain.cs View File

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using System;
using System.Collections.Generic;
using System.Linq;
namespace MarkovGrams
{
/// <summary>
/// An unweighted character-based markov chain.
/// </summary>
public class UnweightedMarkovChain
{
/// <summary>
/// The random number generator
/// </summary>
Random rand = new Random();
/// <summary>
/// The ngrams that this markov chain currently contains.
/// </summary>
List<string> ngrams;
/// <summary>
/// Creates a new character-based markov chain.
/// </summary>
/// <param name="inNgrams">The ngrams to populate the new markov chain with.</param>
public UnweightedMarkovChain(IEnumerable<string> inNgrams)
{
ngrams = new List<string>(inNgrams);
}
/// <summary>
/// Returns a random ngram that's currently loaded into this UnweightedMarkovChain.
/// </summary>
/// <returns>A random ngram from this UnweightMarkovChain's cache of ngrams.</returns>
public string RandomNgram()
{
return ngrams[rand.Next(0, ngrams.Count)];
}
/// <summary>
/// Generates a new random string from the currently stored ngrams.
/// </summary>
/// <param name="length">
/// The length of ngram to generate.
/// Note that this is a target, not a fixed value - e.g. passing 2 when the n-gram order is 3 will
/// result in a string of length 3. Also, depending on the current ngrams this markov chain contains,
/// it may end up being cut short.
/// </param>
/// <returns>A new random string.</returns>
public string Generate(int length)
{
string result = RandomNgram();
string lastNgram = result;
while(result.Length < length)
{
// The substring that the next ngram in the chain needs to start with
string nextStartsWith = lastNgram.Substring(1);
// Get a list of possible n-grams we could choose from next
List<string> nextNgrams = ngrams.FindAll(gram => gram.StartsWith(nextStartsWith));
// If there aren't any choices left, we can't exactly keep adding to the new string any more :-(
if(nextNgrams.Count == 0)
break;
// Pick a random n-gram from the list
string nextNgram = nextNgrams.ElementAt(rand.Next(0, nextNgrams.Count));
// Add the last character from the n-gram to the string we're building
result += nextNgram[nextNgram.Length - 1];
}
return result;
}
}
}

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