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:    

We recently added new Gauge chart(Echarts) to our library, which is great as MVP. Thanks to @krsnik93
Here are some enhancement requests to make the chart more robust. we can either make the improvement in Superset or Echarts.

Request

1. Add tooltips to 'needles' - p1
2. Add (dynamic)time range filter, not the entire time section - p1 (4/17/2021 Time section is added, need to m

See this comment from a previous pull request I submitted: pandas-dev/pandas#41524 (comment)

Just need to add , optional, so opening as good first issue

Summary

When import streamlit and supervisely_lib together in a project there occurs a TypeError.

Steps to reproduce

Code snippet:

import streamlit as st
import supervisely_lib as sly

If applicable, please provide the steps we should take to reproduce the bug:

1. run the code with streamlit run ...
2. see error/traceback when you open the streamlit page

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

To Reproduce

Configure a reconciliation service that returns URIs as IDs.

Hovering over reconciliation suggestions, automatically matched values and manually mapped values will fail to retrieve the preview information as ID contained in the callback is truncated.

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