PowTrees.LINQPad 0.0.48

dotnet add package PowTrees.LINQPad --version 0.0.48
NuGet\Install-Package PowTrees.LINQPad -Version 0.0.48
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="PowTrees.LINQPad" Version="0.0.48" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add PowTrees.LINQPad --version 0.0.48
#r "nuget: PowTrees.LINQPad, 0.0.48"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install PowTrees.LINQPad as a Cake Addin
#addin nuget:?package=PowTrees.LINQPad&version=0.0.48

// Install PowTrees.LINQPad as a Cake Tool
#tool nuget:?package=PowTrees.LINQPad&version=0.0.48

PowTrees

Table of content

Introduction

Tree structure with algorithms

Usage

FoldL

Map a tree recursively. For each node, we use the node and the mapped parent as input

Signature:

static TNod<U> FoldL<T, U>(
	this TNod<T> root,
	Func<TNod<T>, U, U> fun,
	U seed
);

Example:

record Rec(int Val, int Ofs); // where Ofs is an offset we want to apply to Val

// root =
//                 ┌►(30,0)        
//                 │               
// (10,0)──►(20,3)─┤        ┌►(50,0)
//                 └►(40,6)─┤      
//                          └►(60,1)

// 1. Apply Ofs on the node and its descendents:
// ---------------------------------------------
root.FoldL((nod, acc) => acc + nod.V.Ofs, 0)
      ┌►3    
      │      
0──►3─┤   ┌►9
      └►9─┤  
          └►10

// 2. Apply Ofs on the node descendents only:
// ------------------------------------------
root.FoldL((nod, acc) => acc + nod.ParentOr(e => e.Ofs, 0), 0)
      ┌►3   
      │     
0──►0─┤   ┌►9
      └►3─┤ 
          └►9

// 3. Create a dictionary from the nodes to their accumulators
// -----------------------------------------------------------
root.Zip(root.FoldL(fun))
	.ToDictionary(
		e => e.First.V,
		e => e.Second.V
	);

As these cases are quite common, there are some utility functions to implement them easily:

static TNod<U> FoldL_Parent<T, U>(
	this TNod<T> root,
	Func<T, U> get,
	Func<U, U, U> fun,
	U seed
);

static IReadOnlyDictionary<T, U> FoldL_Dict<T, U>(
	this TNod<T> root,
	Func<T, U, U> fun,
	U seed
) where T : notnull;

static IReadOnlyDictionary<T, U> FoldL_Parent_Dict<T, U>(
	this TNod<T> root,
	Func<T, U> get,
	Func<U, U, U> fun,
	U seed
) where T : notnull;

Build a node lookup map

If you transform a tree (A) into tree (B) without changing its shape (just changing the node content, not children). Very often, you then need to map the nodes of B back to A. For this use:

static IReadOnlyDictionary<TNod<T>, TNod<U>> BuildNodeLookup<T, U>(TNod<T> rootSrc, TNod<U> rootDst);

var lookupMap = TreeUtils.BuildNodeLookup(B, A);

License

MIT

Product Compatible and additional computed target framework versions.
.NET net7.0-windows7.0 is compatible.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net7.0-windows7.0

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.0.48 125 9/15/2023
0.0.47 95 9/3/2023
0.0.46 109 8/23/2023
0.0.45 103 8/22/2023
0.0.44 147 8/5/2023
0.0.43 118 7/30/2023
0.0.42 121 7/18/2023
0.0.41 118 7/15/2023
0.0.40 116 7/15/2023
0.0.39 125 7/12/2023
0.0.38 122 7/12/2023
0.0.37 135 7/11/2023
0.0.36 121 7/10/2023
0.0.35 115 7/10/2023
0.0.34 120 7/9/2023
0.0.33 123 7/8/2023
0.0.32 121 7/5/2023
0.0.31 124 7/5/2023
0.0.30 127 7/5/2023
0.0.29 121 7/4/2023
0.0.28 123 7/2/2023
0.0.27 109 6/21/2023
0.0.26 109 6/20/2023
0.0.25 108 6/20/2023
0.0.24 116 6/15/2023
0.0.23 107 6/15/2023
0.0.22 111 6/15/2023
0.0.21 110 6/12/2023
0.0.20 114 6/12/2023
0.0.19 111 6/5/2023
0.0.18 102 6/3/2023
0.0.17 102 6/3/2023
0.0.16 104 6/1/2023
0.0.15 101 5/31/2023
0.0.14 98 5/28/2023
0.0.13 98 5/28/2023
0.0.12 100 5/12/2023
0.0.10 117 4/24/2023
0.0.9 119 4/24/2023
0.0.8 275 12/4/2022
0.0.7 276 11/26/2022
0.0.6 274 11/26/2022