<commit_before>==========================
IPython Notebook Tutorials
==========================

These IPython (http://ipython.org) notebooks show the usage of the EMMA2 API in
action and also describe the workflow of Markov model building.

Trajectory IO and transformation
================================
.. toctree::

   generated/coordinates
   generated/clustering

MSM estimation and validation
=============================

.. toctree::
   generated/estimation
   generated/analysis
   generated/fingerprints
   generated/tpt
   generated/sampling
   
Java/Python-Bridge
==================

.. toctree::
   generated/JavaPythonBridge<commit_msg>[sphinx] added ipynb 'its' to list<commit_after>==========================
IPython Notebook Tutorials
==========================

These IPython (http://ipython.org) notebooks show the usage of the EMMA2 API in
action and also describe the workflow of Markov model building.

Trajectory IO and transformation
================================
.. toctree::

   generated/coordinates
   generated/clustering

MSM estimation and validation
=============================

.. toctree::
   generated/estimation
   generated/analysis
   generated/its
   generated/fingerprints
   generated/tpt
   generated/sampling
   
Java/Python-Bridge
==================

.. toctree::
   generated/JavaPythonBridge
{'fraction_non_alphanumeric': 0.24591381872213966, 'fraction_numerical': 0.0014858841010401188, 'mean_word_length': 5.040358744394619, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2605001', 'n_tokens_mistral': 363, 'n_tokens_neox': 329, 'n_words': 97}