v1.0.3

LICENSE

 MIT License
 
-Copyright (c) 2024 Alexander Nasuta
+Copyright (c) 2025 Alexander Nasuta
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -19,6 +19,8 @@
 
 - **PyPi**: https://pypi.org/project/jsp-instance-utils/
 
+- **Documentation**: https://jsp-instance-utils.readthedocs.io/en/latest/
+
 
 # About The Project
 This project contains all Job Shop Scheduling Problem (JSP) benchmark instances from http://jobshop.jjvh.nl/ and some utility functions to work with JSP instances.

docs/source/conf.py

@@ -9,7 +9,7 @@
 project = 'jsp-instance-utils'
 copyright = '2025, Alexander Nasuta'
 author = 'Alexander Nasuta'
-release = '1.0.2'
+release = '1.0.3'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
@@ -51,7 +51,7 @@ html_css_files = [
 ]
 
 # Configure autosectionlabel
-autosectionlabel_prefix_document = True
+autosectionlabel_prefix_document = False
 autosectionlabel_maxdepth = 2
 
 # Exclude specific files

docs/source/usage.md

@@ -98,7 +98,7 @@ The lowest known makespan is a {'optimal' if ft06_makespan_is_optimal else 'not
 
 This code snippet returns the following output:
 
-![ft06 instance screenshot](../_static/ft06_screenshot.png)
+![ft06_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/blob/main/docs/source/_static/ft06_screenshot.png)
 
 Analogously, you can load the `ta01` instance from the package and extract the machine matrix and the processing time matrix:
 
@@ -122,8 +122,8 @@ The lowest known makespan is a {'optimal' if ta01_makespan_is_optimal else 'not
 
 This code snippet yields the following output:
 
-![ta01 instance screenshot](../_static/ta01-screenshot.png)
+![ta01_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/blob/main/docs/source/_static/ta01-screenshot.png)
 
 ## Reinforcement Learning Environments
 
-For the usage of the instances in reinforcement learning environments, we provide a wrapper class that can be used to create a reinforcement learning environment please check out the {ref}`asdasd` of this project. 
+For the usage of the instances in reinforcement learning environments, we provide a wrapper class that can be used to create a reinforcement learning environment please check out the {ref}`Table of Instances` of this project. 

pyproject.toml

@@ -4,13 +4,12 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "jsp-instance-utils"
-version = "1.0.2"
-description = "A package containg benchmark instances for the Job Shop Scheduling Problem (JSP) scraped from "
+version = "1.0.3"
+description = "A package containing benchmark instances for the Job Shop Scheduling Problem (JSP) scraped from various sources."
 readme = "README.md"
 authors = [{ name = "Alexander Nasuta", email = "alexander.nasuta@wzl-iqs.rwth-aachen.de" }]
-license = { file = "LICENSE" }
+license = { text = "MIT", expression = "MIT" }
 classifiers = [
-    "License :: OSI Approved :: MIT License",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
 ]
@@ -22,7 +21,11 @@ dependencies = [
     "beautifulsoup4",
     "jsp-vis",
 ]
-requires-python = ">=3.10"
+requires-python = ">=3.11"
+
+[tool.setuptools]
+license-files = []
+
 
 [project.optional-dependencies]
 dev = [