<commit_before># Exercise Answers

Q1) Developed in python, with an example test suite using the unittest module and nose
This can be run using 'nose' from the q1/tests directory, or using the built in PyCharm test runner. 

Q2) Developed in python, and as a Gherkin feature, with steps implemented in python
This can be run using 'behave' from within the features directory, or using the test runner in PyCharm.

Q3) Javascript / HTML5 - So I could demo on my phone - perhaps using Grail / AngularJS
<commit_msg>Correction to ReadMe<commit_after># Exercise Answers

Q1) Developed in python, with an example test suite using the unittest module and nose
This can be run using 'python -m nose' from the q1/tests directory, or using the built in PyCharm test runner. 

Q2) Developed in python, and as a Gherkin feature, with steps implemented in python
This can be run using 'behave' from within the features directory, or using the test runner in PyCharm.

Q3) Javascript / HTML5 - So I could demo on my phone - perhaps using Grail / AngularJS

{'fraction_non_alphanumeric': 0.045062320230105465, 'fraction_numerical': 0.009587727708533078, 'mean_word_length': 4.22, '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': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '156968', 'n_tokens_mistral': 295, 'n_tokens_neox': 281, 'n_words': 168}