<jupyter_start><jupyter_text>Feature request for NBVALFor mathematical computation, it would be useful to compare $\LaTeX$ output. Here is an example:<jupyter_code>import sympy

sympy.init_printing()

x, y = sympy.symbols(["x", "y"])<jupyter_output><empty_output><jupyter_text>Should pass:<jupyter_code>x**2<jupyter_output><empty_output><jupyter_text>Should fail (in most cases):<jupyter_code>import random
n = int(random.uniform(1, 10000000000000))
x**n<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.128099173553719, 'fraction_numerical': 0.03305785123966942, 'mean_word_length': 10.279069767441861, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 1, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '430691', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 195, 'n_tokens_neox': 180, 'n_words': 34, 'path': 'issues/27/latex-example.ipynb', 'repo_name': 'saulshanabrook/nbval', 'size': '484'}