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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

As discussed in #3926, the following files do not have .py extensions because TensorFlow does not yet support the current Python.

• dynamic_programming/k_means_clustering_tensorflow.py_tf
• machine_learning/lstm/lstm_prediction.py_tf
• neural_network/gan.py_tf
• neural_network/input_data.py_tf

TODO: Restore the .py file extensions

(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.

🐛 Bug

The two bullet points don't render as bullet points.

https://pytorch.org/docs/master/autograd.html?highlight=anomaly#torch.autograd.detect_anomaly

cc @ezyang @albanD @zou3519 @gqchen @pearu @nikitaved @so

Describe the issue linked to the documentation

The link function used in PoissonRegressor and GammaRegressor is not documented in the docstrings. They both use the log-link.

Description

Usage of scrapy.utils.response.response_httprepr inside DownloaderStats middleware causing application to make unnecessary memory allocation.
response_httprepr used only one time - to calculate response sizes fo

Currently, after user editing a metric in Edit dataset modal in Explore, the edited metric jump to the bottom of the metric list.
it create a few issues:

1. when the metric list is long, by dropping to the bottom, user might take a while to find it or think the most recent edited metic is lost.
2. every time users edit a single metric, they see a different order of metric list showing in the

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

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

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In all of our current uses of os.umask or filesystem.umask, we always temporarily set it to a different value and then restore it using a try/finally block. I expect this pattern to continue.

Because of that, why don't we create a simple function in certbot.util that can be used as a context manager to set umask to a value and restore it to its previous value when exiting the with blo