<jupyter_start><jupyter_text>plot procedure  Imports<jupyter_code>from notebook_base_dev_settings import DEVELOPMENT_PARAMETERS
from pyskindose import constants
from pyskindose.main import main
from pyskindose.settings_pyskindose import PyskindoseSettings<jupyter_output><empty_output><jupyter_text>settings<jupyter_code>settings = PyskindoseSettings(settings=DEVELOPMENT_PARAMETERS)
settings.mode = constants.MODE_PLOT_PROCEDURE<jupyter_output><empty_output><jupyter_text>check parameters<jupyter_code>settings.print_parameters()<jupyter_output><empty_output><jupyter_text>run PySkinDose<jupyter_code>main(settings=settings)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07480916030534351, 'fraction_numerical': 0.0, 'mean_word_length': 20.161290322580644, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, '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': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '31762', 'license': 'MIT', 'n_tokens_mistral': 231, 'n_tokens_neox': 229, 'n_words': 23, 'path': 'tests/manual_tests/notebook_tests/notebook_test_plot_procedure.ipynb', 'repo_name': 'rvbCMTS/PySkinDose', 'size': '655'}