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System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

currently, some of the programs use static type checking like this program but some of the programs did not use static typing.

it's a good practice to use static typing as it makes code more clear and readable, should we make it a standard for this repository.we can use mypy for

(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.

Description

The documentation of default values in many classes is either not included, inconsistent in how it is written, or out-of-date. I would like to gather a few people to work on the default value documentation for every class as there are a ton of classes where these issues exist. I have been told that the default values should be documented as "default=<'value'>" and so I am creatin

WARNING: /data/users/ezyang/pytorch-tmp/BUILD.bazel:580:1: in hdrs attribute of cc_library rule //:aten_headers: Artifact 
'bazel-out/k8-fastbuild/bin/aten/src/ATen/Config.h' is duplicated (through '//:aten/src/ATen/Config.h' and '//:aten_src_AT
en_config'). Since this rule was created by the macro 'cc_library', the error might have been caused by the macro implemen
tation                 

It looks like Travis support specifying such a Python version as 3.9-dev.

While I’m not sure we should officially support Python 3.9 it until its release, running tests on it will allow us to catch any issue early.

At some point we moved from using mocha as a test runner to using jest, and jest out of the box started reporting much more warnings than mocha did.

No one went to clean up this output. In many cases it may just be about passing an extra prop in a component or setting a proper default value for a component's prop, or adding up to an existing fixture.

[optional] please roll out in chu

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?

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• (optional) I have confirmed this bug exists on the master branch of pandas.

Code Sample, a copy-pastable example

import pandas as pd
import numpy as np
i = pd.Index(["AbC", "de", "FGHI", "j", "kLm"])
other = (