Data Science

Describe the issue linked to the documentation

Use :doi: and :arxiv: directives for references in the documentation as is done in scipy in scipy/scipy#12858.

Suggest a potential alternative/fix

No response

Screenshot

Description

Need some consistency of the sort by menu for dashboard edit:
1, Format consistency: for example "Sort by Name" should be " Sort by name"
2, 'Vis' should be 'Viz'

Search before asking

• I searched the issues and found no similar issues.

Ray Component

Ray Serve

What happened + What you expected to happen

See repro script, a fix would be avoid reconfiguring when there are inflight queries. Additionally, we should consider not accepting new queries when reconfigure is being called.

Reprod

Problem

See #3856 . Developer would like the ability to configure whether the developer menu or viewer menu is displayed while they are developing on cloud IDEs like Gitpod or Github Codespaces

Solution

Create a config option

showDeveloperMenu: true | false | auto

where

• true: always shows the developer menu locally and while deployed
• false: always sho

Proposed refactoring or deprecation

Update the imports in the Lightning Quantization callback to torch.ao.quantization

Motivation

Quantization in PyTorch 1.10 is moving under the torch.ao module namespace:
https://github.com/pytorch/pytorch/blob/3d6d4f4322e42886349b822449b9e439fac89ae2/torch/quantization/quant

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

Steps to reproduce

• Create a test1.py file with the contents import sys; print(1, sys.argv) in the current directory
• Create a test2.py file with the contents print(2) in the current directory

Expected result

As per the IPython reference:
Both files are executed in sequence, the

Problem

I've noticed that matplotlib currently doesn't support saving images in webp format, which I later confirmed by looking into supported file formats in backend_bases.py file.

Saving images in webp would definitely be useful for users who want to upload the graphs they generate in matplotlib to t

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

Discussed in microsoft/nni#4070

[2021-08-14 10:13:41] INFO (NNIDataStore) Datastore initialization done
[2021-08-14 10:13:41] INFO (RestServer) RestServer start
[2021-08-14 10:13:41] INFO (RestServer) RestServer base port is 8080
[2021-08-14 10:13:41] I