We should be using pkg_resources (or importlib.resources if our min Python version is 3.7) instead of uses of __file__.

$ get grep '__file__' sklearn/
sklearn/__check_build/__init__.py:    local_dir = os.path.split(__file__)[0]
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    

Keyboard navigation in the control panel of the Explore view is difficult.

Expected results

You should be able to move focus between adjacent controls in the control panel with a single Tab key press
and visually distinguish what element has focus. You should be able to interact with controls the keyboard
(Enter or space bar for button-like things).

Actual results

Several tab

Location of the documentation

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_pickle.html

Documentation problem

How to use storage_option param here to integrate with GCP bucket?

Suggested fix for documentation

Please add some examples to pandas.DataFrame.to_{any_file_format}.html

Summary

The grayish background oval indicating a selected st.radio label has too much padding on the right hand side by a few pixels. Here's an example:

(Notice how the background rounded rectangle extends further to the right past "Notion" than it does to the left of the sel

Is your feature request related to a problem? Please describe.
When working with a big piece of text, I sometimes scroll down and copy some text into another tab. When switching back to the first tab, both the input and the output pane is back on top. So I don't know where I was working just now.

Describe the solution you'd like
After tab switching, scroll position should be remembere

OpenRefine 3.4.1 on Windows (with or without integrated JRE) does not use the proxy set in openrefine.l4j.ini to connect to reconciliation service (https://lobid.org/gnd/reconcile)

To Reproduce

Steps to reproduce the behavior:

1. First, set proxy in openrefine.l4j.ini using the following parameters:
   -Dhttps.proxyHost=proxy-name.domain.ch
-Dhttps.proxyPort=8080
   `-Dhttp.proxyHo

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

See:
gonum/gonum#845 (comment)

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

Tell us about the problem you're trying to solve

We currently do inheritance-like things in our OpenApi configuration. The library we use to generate java from that configuration produces the following warning:

[deprecated] inheritance without use of 'discriminator.propertyName' is deprecated and will be removed in a future release. Generating model for null

Example of the [line]