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Toy Problem: Missionaries and Cannibals

Description

On one bank of a river are three missionaries (black triangles) and three cannibals (red circles). There is one boat available that can hold up to two people and that they would like to use to cross the river. If the cannibals ever outnumber the missionaries on either of the river’s banks, the missionaries will get eaten. How can the boat be used to safely carry all the missionaries and cannibals across the river?

Task

Try to implement the general search algorithm just described. You can use LIFO and FIFO as queuing strategies to determine the order in which nodes are explored. These two strategies are known as depth-first and breadth-first search respectively. Be careful, depth-first search may descend down infinite branches, so best implement a depth cut-off. Then, extend your implementation with a hash table that stores all the nodes found so far. Print out a trace of the states the algorithm finds (in the order they are discovered) and see ho

@akimboyko
akimboyko / problem17.fsx
Created May 4, 2014 05:30
Count number of letters written out in words without spaces or hyphens using F# and Humanizer https://github.com/MehdiK/Humanizer
#r @"Humanizer.dll"
open Humanizer
[1 .. 1000] |>
Seq.map (fun n -> Humanizer.NumberToWordsExtension.ToWords(n)) |>
Seq.collect(fun writtenOutInWords -> writtenOutInWords.ToCharArray()) |>
Seq.where(fun ch -> ch <> ' ') |>
Seq.where(fun ch -> ch <> '-') |>
Seq.length
@akimboyko
akimboyko / PointOfSaleTerminal.fs
Last active August 29, 2015 14:07
Terminal Kata
namespace Terminal
open System
open System.Collections.Immutable
[<Measure>] type USD
[<Measure>] type Volume
[<Measure>] type Percent
type Price =
@akimboyko
akimboyko / !Results.md
Created December 1, 2014 06:46
Comparing executing time using Pseq and ParStream while preprocessing 1.4GB text file

Using ParStream

  • Real: 00:00:32.700, CPU: 00:02:01.165, GC gen0: 285, gen1: 80, gen2: 5
  • Real: 00:00:31.421, CPU: 00:01:59.621, GC gen0: 234, gen1: 65, gen2: 4
  • Real: 00:00:32.865, CPU: 00:02:02.335, GC gen0: 250, gen1: 70, gen2: 5
  • Average 32328.7ms

Using PSeq

  • Real: 00:00:34.108, CPU: 00:02:06.470, GC gen0: 203, gen1: 58, gen2: 5
  • Real: 00:00:33.386, CPU: 00:02:06.392, GC gen0: 224, gen1: 63, gen2: 5
  • Real: 00:00:33.720, CPU: 00:02:07.764, GC gen0: 218, gen1: 63, gen2: 5
@akimboyko
akimboyko / ActivePattern01.fsx
Last active August 29, 2015 14:10
Active Pattern sample from F#, THIS AINT A GAME by ANDREA MAGNORSKY http://www.roundcrisis.com/presentations/fsharp_this_aint_a_game/index.html#/
let (|SpaceKey|) (keyboard:KeyboardInput) =
keyboard.KeyPressed(Key.Space)
let (|Hold100ms|) (keyboard:KeyboardInput) =
keyboard.KeyPressedFor(Key.I, 100)
match DualityApp.Keyboard with
| SpaceKey true & Hold100ms false -> playerGo Jump
| SpaceKey true & Hold100ms true -> playerGo DoubleJump
@akimboyko
akimboyko / Sample01.cs
Created December 11, 2014 09:44
F# decompiled pattern matching
// Decompiled with JetBrains decompiler
// Type: FSharpParts.FSharpParts
// Assembly: FSharpParts, Version=0.0.0.0, Culture=neutral, PublicKeyToken=null
// MVID: 54894392-FF35-398D-A745-038392438954
// Assembly location: D:\temp\SharpExperiments\FSharpParts\bin\Debug\FSharpParts.dll
using CSharpParts;
using Microsoft.FSharp.Core;
namespace FSharpParts
@akimboyko
akimboyko / 1readme.md
Created January 18, 2015 13:25
F# Interactive configuration for Machine Learning tasks

F# tricks

  • Use 64-bit configuration. At Visual Studio switch 'Tools/Options/F# tools/F# Interactive/64-bit F# Interactive' should be "true"
  • Tune Fsi.exe and FsiAnyCPU.exe configuration in “c:\Program Files (x86)\Microsoft SDKs\F#<version>\Framework<version>\” ** — specifies whether the common language runtime runs server garbage collection. ** — specifies whether the common language runtime runs garbage collection on a separate thread. ** — on 64-bit platforms, enables arrays that are greater than 2 gigabytes (GB) in total size.
@akimboyko
akimboyko / Dockerfile
Last active August 29, 2015 14:18
Configure and run Docker container for course "Text Retrieval and Search Engines" by ChengXiang Zhai at University of Illinois at Urbana-Champaign
# How to build
# docker build -t textretrieval-001 .
# #run and name it
# docker run --name meta -i -t textretrieval-001
# #run and mount directory
# docker run -it -v /mnt/programming:/mnt/programming textretrieval-001:latest
FROM ubuntu:latest
MAINTAINER Akim Boyko "akim dot boyko at gmail.com" version: 0.1
@akimboyko
akimboyko / gist:3709454
Created September 12, 2012 19:54
Ninject Kernel with multiple Modules
void Main()
{
var kernel = new Ninject.StandardKernel(new EntitieseModule(), new DocumentStoreModule(), new ModelRepositoryModule());
}
public interface IModelRepository<T> where T: IModel
{
//interface stuff here
}
@akimboyko
akimboyko / gist:3709484
Created September 12, 2012 20:01
ConstructorArgument example
void Main()
{
using(var kernel = new StandardKernel(new ExampleKernel()))
{
var d6 = kernel.Get<Die>();
var d20 = kernel.Get<Die>(new ConstructorArgument("numSides", 20));
d6.NumSides.Dump();
d20.NumSides.Dump();
}