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

Is your feature request related to a problem?

when sort_values ascending parameter is set to a string (df.sort_values(col_name, ascending='False') it does not error although it's meaningless, this could be quite confusing.

Describe the solution you'd like

Raise an error if ascending is equal to values that are not boolean

API breaking implications

Error raising

Summary

When the entire string is indented in help=""""...""", the markdown processor marks the string as a code block. We should treat help the same way we treat st.markdown and st.write's input: by first calling textwrap.dedent(...) on it to remove global indentation.

Steps to reproduce

Code snippet:

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

The current documentation has you bounce back and forth between the cmdline and the UI.

The instructions will look like:

# pull UPGRADE_VERSION from github
docker-compose down
docker-compose up -d db server webapp
curl --data "{}" http://localhost:8001/api/v1/deployment/export > export.tar.gz
docker run --rm -v $(pwd):/config airbyte/migration:$UPGRADE_VERSION -- --input /config/export.tar.g