<jupyter_start><jupyter_text>todo<jupyter_code>import perfreport
import glob

results_directory = '{PATH TO HOMEGROWN MODEL RESULT PICKLES}'

# Update the glob to filter to the pickles of interest
results_list = glob.glob(results_directory+"*.p")

print("RESULTS TO SHOW")
for result_file in results_list:
    print("   "+result_file)

print("")
print("")
print("")

for result_file in results_list:
    print("############################################################################################################")
    print(result_file)
    print("############################################################################################################")
    perfreport.print_metrics(result_file)
    print("")
    print("")
    print("")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.37051282051282053, 'fraction_numerical': 0.0, 'mean_word_length': 7.582417582417582, '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': '9292', 'license': 'Apache-2.0', 'n_tokens_mistral': 212, 'n_tokens_neox': 202, 'n_words': 46, 'path': 'homegrown/homegrown_results_print.ipynb', 'repo_name': 'tszumowski/custom-vision-study', 'size': '780'}