<jupyter_start><jupyter_text>HelpStack> The Library to help developers who fight with the stack trace of errors  Install `pip install helpstack`  How to use After you install the library, we can use the decorator to simply get relevant links about the issue in jupyter notebook (or any ipython notebooks)We do the following:- Go through Stackoverflow and get top answered results that are relevent to this stack trace- Get all libraries that are available in the environment and search its github issues that are relevent to its stack trace.<jupyter_code>@help_stack
def div_by_zero(a):
    return a/0

div_by_zero(12)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.041666666666666664, 'fraction_numerical': 0.004629629629629629, 'mean_word_length': 5.425742574257426, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 6, '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': '614683', 'license': 'Apache-2.0', 'n_tokens_mistral': 176, 'n_tokens_neox': 172, 'n_words': 90, 'path': 'index.ipynb', 'repo_name': 'nareshr8/helpstack', 'size': '648'}