<jupyter_start><jupyter_text>Introduction<jupyter_code>import ipymicro_base
import numpy as np
w = ipymicro_base.baseCanvasModel()
w.layout.width = '500px'
w.layout.height = '500px'
w.set_image(255*np.sin(np.linspace(0,255,500*500).reshape(500,500)))
w
  private lassoing: boolean;
np.linspace(0,255,500*500).reshape(500,500)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14929577464788732, 'fraction_numerical': 0.11549295774647887, 'mean_word_length': 9.470588235294118, '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': '628525', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 174, 'n_tokens_neox': 148, 'n_words': 18, 'path': 'ipymicro-base/examples/introduction.ipynb', 'repo_name': 'ianhi/jupyter-microscopy', 'size': '355'}