<jupyter_start><jupyter_text>dask-awkward dev demo 2021/11/11- Show type information in basic `__repr__`.- JSON representation.  - Using IPython's builtin support (`display_json`) in the `_ipython_display_` method.  - Also experimented with some 3rd party JS libraries passed to `_ipython_display_`.- Continued `__getitem__` work.<jupyter_code>import dask_awkward as dak
import dask_awkward.data as dakd
daa = dakd.load_nested()
str(daa)<jupyter_output><empty_output><jupyter_text>What's happening in the backend:<jupyter_code>import json
from IPython.display import display_json

display_json(json.loads(daa.meta.form.to_json()), raw=True)
daa["analysis", ["x1", "y2"], 1:3:2].visualize()
daa = dakd.load_array()
daa
daa[0].compute()
??daa.__getitem__
??daa._compute_divisions<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12267657992565056, 'fraction_numerical': 0.01858736059479554, 'mean_word_length': 7.244897959183674, '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': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '66080', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 312, 'n_tokens_neox': 299, 'n_words': 66, 'path': 'docs/examples/20211111.ipynb', 'repo_name': 'martindurant/dask-awkward', 'size': '807'}