.. highlight:: python |:rocket:| Tutorial =================== As stated in :ref:`advantages`, all you need is a ``.cif`` file! If you don't have one |:point_right:| :download:`example.cif` or try MOFSynth-QM in a mini database |:point_right:| :download:`example_database.zip` First, create a directory for the tutorial: .. code-block:: console $ mkdir mofsynth_tutorial $ cd mofsynth_tutorial Next, create a directory to store the CIF files: .. code-block:: console $ mkdir cifs_folder Next, create an input_data folder to store the config.yaml file and the .sh file that runs the calculations using XTB on your system .. code-block:: console $ mkdir config_dir The config.yaml file should have the following format .. code-block:: text optimization: command: sbatch file: .sh singlepoint: command: sbatch file: .sh The final structure should look like this .. code-block:: text cifs_folder/ └── example.cif config_dir/ └── config.yaml └── .sh └── .sh You can find the .sh scripts in the github repo at mofsynth_qm/src/mofsynth_qm/config_dir. You are ready to run using the following command: .. code-block:: console $ mofsynth-qm exec path/to/cifs_folder 10 After the calculations have completed, run: .. code-block:: console $ mofsynth-qm report path/to/cifs_folder Hurray! An **.xlsx file** containing the results will be created in the *mofsynth_tutorial/*