<jupyter_start><jupyter_text>manually save it<jupyter_code>feat_path = './sketch_features'
layer_num = args.layer_ind
data_type = 'sketch'
layers = ['P1','P2','P3','P4','P5','FC6','FC7']
out_path = os.path.join(feat_path,'FEATURES_{}_{}_stroke_analysis.npy'.format(layers[int(layer_num)], data_type))
np.save(out_path, _Features)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1894150417827298, 'fraction_numerical': 0.019498607242339833, 'mean_word_length': 11.857142857142858, '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': '38654', 'license': 'MIT', 'n_tokens_mistral': 148, 'n_tokens_neox': 146, 'n_words': 15, 'path': 'analysis/ipynb/golden/extract_sketch_features.ipynb', 'repo_name': 'judithfan/graphical_conventions', 'size': '359'}