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 searched the issues and found no similar issues.

Ray Component

Others

What happened + What you expected to happen

When calling an asynchronus map function (map, starmap) on a Pool from ray.util.multiprocessing, the callback is, in contrast to python.multiprocessing.Poo.map_asyn(), not called once

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

🚀 Feature

Add support

print(str(MyDataModule()))

Motivation

It currently prints:

<__main__.MyDataModule object at 0x10284c970>

Pitch

It could print the DataLoader structure:

MyDataModule(
    train_dataloader: {"a": DataLoaderClass(batch_size=8, num_batches=16, num_workers=2), "b":  DataLoaderClass(batch_size=2, num_bat

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