v1.0.4

README.md

@@ -14,12 +14,13 @@
 
 </div>
 
+- [jsp-instance-utils on **Gitlab**](https://git-ce.rwth-aachen.de/alexander.nasuta/jsp-instance-utils)
 
-- **Github**: https://github.com/Alexander-Nasuta/jsp-instance-utils/
+- [jsp-instance-utils on **Github**](https://github.com/Alexander-Nasuta/jsp-instance-utils/)
 
-- **PyPi**: https://pypi.org/project/jsp-instance-utils/
+- [jsp-instance-utils on **PyPi**](https://pypi.org/project/jsp-instance-utils/)
 
-- **Documentation**: https://jsp-instance-utils.readthedocs.io/en/latest/
+- [jsp-instance-utils **Documentation**](https://jsp-instance-utils.readthedocs.io/en/latest/)
 
 
 # About The Project
@@ -462,11 +463,11 @@ clone the repository in your favorite code editor (for example PyCharm, VSCode,
 
 using https:
 ```shell
-git clone https://github.com/Alexander-Nasuta/graph-jsp-env
+git clone https://github.com/Alexander-Nasuta/jsp-instance-utils
 ```
 or by using the GitHub CLI:
 ```shell
-gh repo clone Alexander-Nasuta/graph-jsp-env
+gh repo clone Alexander-Nasuta/jsp-instance-utils
 ```
 
 if you are using PyCharm, I recommend doing the following additional steps:
@@ -484,20 +485,20 @@ todo
 Most Developers use a virtual environment to manage the dependencies of their projects.
 I personally use `conda` for this purpose.
 
-When using `conda`, you can create a new environment with the name 'my-graph-jsp-env' following command:
+When using `conda`, you can create a new environment with the name 'my-jsp-instance-utils' following command:
 
 ```shell
-conda create -n my-graph-jsp-env python=3.11
+conda create -n my-jsp-instance-utils python=3.11
 ```
 
 Feel free to use any other name for the environment or an more recent version of python.
 Activate the environment with the following command:
 
 ```shell
-conda activate jsp-instance-utils
+conda activate my-jsp-instance-utils
 ```
 
-Replace `jsp-instance-utils` with the name of your environment, if you used a different name.
+Replace `my-jsp-instance-utils` with the name of your environment, if you used a different name.
 
 You can also use `venv` or `virtualenv` to create a virtual environment. In that case please refer to the respective documentation.
 

docs/source/conf.py

@@ -9,7 +9,7 @@
 project = 'jsp-instance-utils'
 copyright = '2025, Alexander Nasuta'
 author = 'Alexander Nasuta'
-release = '1.0.3'
+release = '1.0.4'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

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_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/blob/main/docs/source/_static/ft06_screenshot.png)
+![ft06_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/raw/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:
 
@@ -122,7 +122,7 @@ The lowest known makespan is a {'optimal' if ta01_makespan_is_optimal else 'not
 
 This code snippet yields the following output:
 
-![ta01_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/blob/main/docs/source/_static/ta01-screenshot.png)
+![ta01_screenshot](https://github.com/Alexander-Nasuta/jsp-instance-utils/raw/main/docs/source/_static/ta01-screenshot.png)
 
 ## Reinforcement Learning Environments
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "jsp-instance-utils"
-version = "1.0.3"
+version = "1.0.4"
 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" }]