<jupyter_start><jupyter_text>Finding Pattern<jupyter_code>import numpy as np<jupyter_output><empty_output><jupyter_text>Given this array, find the next number in the sequence<jupyter_code>my_teaser_array = np.array([1, 7, 19, 37, 61, 91, 127, 169, 217, 271, 331])
my_teaser_array<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11326860841423948, 'fraction_numerical': 0.08090614886731391, 'mean_word_length': 10.071428571428571, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '339808', 'license': 'MIT', 'n_tokens_mistral': 146, 'n_tokens_neox': 119, 'n_words': 26, 'path': 'numpy-data-science-essential-training/Ex_Files_NumPy_Data_EssT/Exercise Files/Ch 6/06_04/Starting/Pattern.ipynb', 'repo_name': 'saint1729/in-learning', 'size': '309'}