Init

.gitignore

+.DS_Store
+.idea
+*.log
+tmp/
+
+*.py[cod]
+*.egg
+build
+htmlcov
+
+# We do not need the PNG files
+*.png
+
+# The .venv can be ignored
+.venv/

main.py

+import networkx as nx
+import matplotlib.pyplot as plt
+
+G = nx.watts_strogatz_graph(40, 3, 0.7, seed=12)
+pos = nx.forceatlas2_layout(G)
+fig = plt.figure()
+nx.draw(G, pos, ax=fig.add_subplot())
+fig.savefig("graph.png")

repro.md

+
+# Simple repository for reproducability: Python
+
+This is a repository that runs a small test script using a network
+library. See the corresponding publication under XYZ.
+
+## Structure
+
+The repository contains the `main.py` which runs the main script and the
+`test.py` which is used for testing the install. Any data is contained
+inside the data directory and will be automatically loaded by the
+installation script.
+
+## Installation
+
+1.  Download the repository:
+
+    ``` shell
+    git clone https://<the-repository>/some/path.git
+    ```
+
+2. Move into the directory of the cloned folder.
+
+3. Create the virtual environment.
+
+    ``` shell
+    python -m venv .venv
+    ```
+
+4.  Activate the environment:
+
+    - Linux & Mac
+
+      ``` shell
+      source .venv/bin/activate
+      ```
+
+    - Windows (cmd.exe):
+
+      ``` shell
+      .venv/Scripts/activate.bat
+      ```
+
+    - Windows (Powershell)
+
+      ``` shell
+      .venv/Scripts/activate.ps1
+      ```
+
+5. Install the requirements with pip:
+
+    ``` shell
+    pip install -r ./requirements.txt
+    ```
+
+6.  Run the test script to test the environment:
+
+    ``` shell
+    python ./test.py
+    ```
+
+## Data
+
+No data is required for running this script.
+
+## Run the main script
+
+Ensure, that you successfully completed the installation process. After this the command should run succesfully:
+
+    ``` shell
+    python ./main.py
+    ```
+
+The successfull run should produce a `graph.png` in the current directory containing a simple graph.

requirements.txt

+contourpy==1.3.1
+cycler==0.12.1
+fonttools==4.55.6
+kiwisolver==1.4.8
+matplotlib==3.10.0
+networkx==3.4.2
+numpy==2.2.2
+packaging==24.2
+pillow==11.1.0
+pyparsing==3.2.1
+python-dateutil==2.9.0.post0
+six==1.17.0

test.py

+import networkx as nx
+import matplotlib.pyplot as plt
+
+G = nx.watts_strogatz_graph(10, 3, 0.7, seed=12)
+pos = nx.spring_layout(G)
+fig = plt.figure()
+nx.draw(G, pos, ax=fig.add_subplot())
+fig.savefig("test_graph.png")