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System information

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

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In our Python repository, there are currently several open issues:

• #1901
• #2128

What's more, you can al

(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.

During debugging I've seen many constructs like list(map(lambda i: torch.device('cuda:' + str(i)), gpus))

I'd propose to replace those by "regular" list comprehensions. So the above is equivalent to [torch.device('cuda:' + str(i)) for i in gpus]

This replacement can be automated via regexp replacement for (likely) almost all cases.

Reasoning: The nesting of parentheses and the inline

Describe the issue linked to the documentation

In the section "Pull Request Checklist", this is how the text appears

A moderate use of type annotations is encouraged but is not mandatory. See [mypy quickstart](https://mypy.readthedocs.io/en/latest/getting_started.html) for an introduction, as well as [pandas contributing documentation]( https://pandas.pydata.org/pandas-docs/stabl

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?

create a mi

In [13]: mi = pd.MultiIndex.from_product([[1,2,3], list('abc'), pd.date_range('20200101', periods=2, tz='UTC')], names=['int', 'string', 'dt'])                            

You can already get .dtypes, but is slightly cumbersome. I would propose adding Multidex.dtypes (we already have MultiIndex.dtype but its always object). I think this is worth the convenience api.

Hello everyone, I will explain the current status of manim in this issue.

Now there are three main manim versions, and their differences:

1. The master branch of 3b1b/manim: (probably the most used currently) rendering on the CPU using cairo, currently stable.
2. The shaders branch of 3b1b/manim: (Grant is making, usi