<jupyter_start><jupyter_text>Good and Bad Controls, Identifiability Checker applied to graphs G12 to G15Main Reference:* A Crash Course in Good and Bad Controls,by <NAME>, <NAME> and <NAME>In this notebook, we apply our Identifiability Checker to the 4 graphs G12, G13, G14, G15 in the paper cited above.<jupyter_code># this makes sure it starts looking for things from the JudeasRx folder down.
import os
import sys
os.chdir('../')
sys.path.insert(0,os.getcwd())
print(os.getcwd())
import good_bad_trols as gb
# pots of in_bnet will be selected at random
import random
random.seed(871)
gb.run( gb.all_gnames[12:16],
        num_1world_samples=1000,
         num_worlds=100)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09090909090909091, 'fraction_numerical': 0.041193181818181816, 'mean_word_length': 5.130434782608695, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, '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': '144102', 'license': 'MIT', 'n_tokens_mistral': 257, 'n_tokens_neox': 235, 'n_words': 84, 'path': 'jupyter_notebooks/good_bad_trols(12-15).ipynb', 'repo_name': 'rrtucci/JudeasRx', 'size': '724'}