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System information

• TensorFlow version (you are using): 2.1
• Are you willing to contribute it (Yes/No): No

Project Euler has about 700 problems, but the current repository hosts solutions for only about 60-70 problems.
I'm willing to work on the issue and also if someone wants to help they can join in.
We can create guidelines on how many minimum solutions a PR should have to prevent spammy PRs with just one or two easy solutions. (open to discussion)

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

It seems the current implementation will cut the tensor to min or max according to their values, which might be a problem when debugging logical errors or typos. Maybe it would be better to just throw an exception? Also it would be nice to note that in the documentation.

>>> import torch
>>> print(torch.__version__)
1.6.0
>>> a

Describe the issue linked to the documentation

Follows from #17387

Suggest a potential alternative/fix

Stop referencing preprocessing functions e.g. :

maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform

in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.

In particular right now the first entr

Summary

Usage of HttpCompressionMiddleware needs to be relfected in Scrapy stats.

Motivation

In order to estimate scrapy memory usage efficiency and prevent.. memory leaks like this.
I will need to know:

1. number of request/response objects that can be active (can be achieved by using [trackref](https://docs.scrapy.org/en/latest/topi

Is your feature request related to a problem? Please describe.
I have a lot of trouble distinguishing between the shades of green signifying a running vs successful query in sqllab.

Describe the solution you'd like
Ideally these would be two different colors for running vs successful. Maybe yellow and green respectively?

Describe alternatives you've considered
If there isn't

Copied from #7991:

If you look at https://certbot.eff.org/docs/api/certbot.compat.filesystem.html, you'll notice many formatting errors which should be fixed.

That's the bare minimum which I think should be done, but I think we should also see what we can do to avoid these problems from happening in the future. Is there a way we could build the docs in CI and check for these problems?

The docs use certain coding style conventions that are no longer used in pandas (e.g., we adopt black's opinions in terms of line wrapping and quoting), for instance https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html. We should update the docs to match current style preferences.

blacken-docs is a useful tool that can help in doing _s