TypeError: __init__() got an unexpected keyword argument 'encoding'

[glenn-jocher]

When running the https://ax.dev/tutorials/tune_cnn.html notebook file in Google Colab:
https://colab.research.google.com/drive/1P6TvA9UZDtLf9dMFTcYWm_RUBW0wpsiV#scrollTo=DMsfBROgGSBK

render(plot_contour(model=model, param_x='lr', param_y='momentum', metric_name='accuracy'))
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-9-849423054076> in <module>()
----> 1 render(plot_contour(model=model, param_x='lr', param_y='momentum', metric_name='accuracy'))

2 frames
/usr/local/lib/python3.6/dist-packages/simplejson/__init__.py in dumps(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, encoding, default, use_decimal, namedtuple_as_object, tuple_as_array, bigint_as_string, sort_keys, item_sort_key, for_json, ignore_nan, int_as_string_bitcount, iterable_as_array, **kw)
    397         ignore_nan=ignore_nan,
    398         int_as_string_bitcount=int_as_string_bitcount,
--> 399         **kw).encode(obj)
    400 
    401 

TypeError: __init__() got an unexpected keyword argument 'encoding'

[ldworkin]

Hi @glenn-jocher -- currently working on this! Fix should be in shortly.

[glenn-jocher]

Great!

[ldworkin]

Hi @glenn-jocher -- so I think this should be fixed by 10b3a9f, which removes our dependency on simplejson. We'll be pushing a new release at the end of the week with this fix, or else in the meantime you can try building off master. Hope this takes care of it for you!

[glenn-jocher]

@ldworkin thanks for the update! I recently tried this again. This time there is no error upon plotting, but now no plots show up in the jupyter notebook. I saved the outputs here so you could reproduce:
https://colab.research.google.com/drive/1P6TvA9UZDtLf9dMFTcYWm_RUBW0wpsiV#scrollTo=DMsfBROgGSBK

[ldworkin]

Hi @glenn-jocher! Ah yes, we just discovered this is a problem -- see issue #94. We will have a fix for this next week, but in the meantime, you can workaround it by using vanilla Jupyter (not Jupyter Labs). The plots should all work without any issues there.

Will close the task now since the original issue is fixed in our current release, and you can follow #94 for updates on this other issue.