<jupyter_start><jupyter_text>Make code into functions and optomize<jupyter_code>def readwavetxt(txt):
    '''Take a  txt file and return a dataframe'''<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10497237569060773, 'fraction_numerical': 0.0, 'mean_word_length': 8.1, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '476693', 'license': 'MIT', 'n_tokens_mistral': 67, 'n_tokens_neox': 66, 'n_words': 15, 'path': '.ipynb_checkpoints/csv_interpolate-checkpoint.ipynb', 'repo_name': 'ncata/SSF', 'size': '181'}