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

https://github.com/mui-org/material-ui/blob/42954448866f204b0cf7e35127d5d0af9c24d6fb/packages/material-ui/src/NativeSelect/NativeSelect.js#L42-L44

In the above src code, the paddingRight style is applied with higher (double) class specificity to the component. Strangely, this is the only style rule applied in this way. This means, to override this style, I have to use the exact same pattern i

Proof read transcribed code of UPDATE_PROGRAM against scans

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It is currently expected that UIs will figure out when to hide msg_history_show messages by themselves.

I think this is bad for two reasons:

• It makes UIs less similar, increasing the number of things to learn when going from one UI to another.
• It makes UIs different from the TUI, which offers a press ENTER prompt when the time to hide msg_history_show messages has come.

After [di

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

What problem does this feature solve?

Example use case:
A static generated app with thousands of routes, like an e-commerce having a route for each product.
Apart from scheduling nuxt generate to run periodically and generate all static and dynamic routes, it would be nice to have the possibility to generate the static files for a single route, for example in a hook when the related ba

One of the main use cases of lpad and rpad is, at least for me personally, to align things in the terminal. However, lpad and rpad are defined (and documented) to work in terms of code units (i.e. they call length on the input string) which means that when length and textwidth disagree, you get unaligned output:

julia> s1 = "⟨k|H₁|k̃⟩"
"⟨k|H₁|k̃⟩"
julia> s2 = "⟨k|H₁|k⟩"
"⟨