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

Owner can not click and edit on the chart name when open a saved chart, can only do click edit when creating a new chart.

How to reproduce the bug

1, Explore saved chart own by you
2, Hover mouse over to chart's title
3, Click on chart title

Expected results

1,Should see tooltip "Click to edit"
2,Title is successfully edit and saved

Actual results

There is no opportunit

Search before asking

• I had searched in the issues and found no similar feature requirement.

Description

Currently users sees

(pid=3979) 2021-10-06 10:37:25,982	WARNING backend_state.py:996 -- Backend 'AAA' has 1 replicas that have taken more than 30s to start up. This may be caused by waiting for the cluster to auto-scale or beca

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

🐛 Bug

Tensorboard logging metrics from different GPUs when using DataParallel training.

To Reproduce

Use any arbitrary toy model with DP as an accelerator and in training_step(), include the below line of code:

self.log(mode + '_loss', sum(losses), on_epoch=False, on_step=True, prog_bar=True, logger=True, sync_dist=True)

In the trainer, specify tensorboard logger with

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

Bug summary

Calling ax.contour(x, y, z) fails if ax was created with projection="3d" and x and y are both 1d and different lengths.

Code for reproduction

import numpy as np
import matplotlib.pyplot as plt

NX = 30
NY = 20
x = np.linspace(-10, 10, NX)
y = np.linspace(-10, 10, NY)
z = np.random.randint(0, 2, [NY, NX])

fig, ax = plt.subplots(subplot_k

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