explaingit

rajprateek/csp_project

Analysis updated 2026-07-18 · repo last pushed 2015-12-18

PythonAudience · researcherComplexity · 2/5DormantSetup · easy

TLDR

A Python solver for constraint satisfaction problems, demonstrated on the classic Australia map-coloring puzzle where neighboring regions can't share a color.

Mindmap

mindmap
  root((csp_project))
    Inputs
      Map graph
      Neighbor constraints
      Available colors
    Outputs
      Valid color assignment
      Satisfied constraints
    Use Cases
      Learn constraint satisfaction
      Study map coloring
      Explore scheduling logic
    Tech Stack
      Python

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Run the map-coloring example to see how a constraint satisfaction solver assigns colors to regions.

USE CASE 2

Study the algorithm as a learning example before building your own scheduling or timetable solver.

USE CASE 3

Adapt the graph-based approach to model a different constraint problem, like Sudoku.

What is it built with?

Python

How does it compare?

rajprateek/csp_project0verflowme/learnings0verflowme/r2ai
LanguagePythonPythonPython
Last pushed2015-12-182022-06-182025-11-19
MaintenanceDormantDormantQuiet
Setup difficultyeasyeasymoderate
Complexity2/51/53/5
Audienceresearcherresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

README doesn't detail the exact algorithm (backtracking vs. constraint propagation), read the code for specifics.

License is not stated in the available content.

Copy-paste prompts

Prompt 1
Walk me through how this map-coloring solver represents the Australia map as a graph of constraints.
Prompt 2
Explain the pruning strategy this solver uses to avoid brute-force checking of every color combination.
Prompt 3
Help me adapt this constraint satisfaction solver to a scheduling problem instead of map coloring.
Prompt 4
Show me how to add a new region and constraint to the map-coloring example in this project.

Frequently asked questions

What is csp_project?

A Python solver for constraint satisfaction problems, demonstrated on the classic Australia map-coloring puzzle where neighboring regions can't share a color.

What language is csp_project written in?

Mainly Python. The stack also includes Python.

Is csp_project actively maintained?

Dormant — no commits in 2+ years (last push 2015-12-18).

What license does csp_project use?

License is not stated in the available content.

How hard is csp_project to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is csp_project for?

Mainly researcher.

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