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

• I have searched the issues of this repository and b

Proof read transcribed code of UPDATE_PROGRAM against scans

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Reduced quality scans can be found here

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

Cover https://github.com/scrapy/scrapy-bench in our documentation topic about benchmarking, as a project to use for more complex Scrapy benchmarking.

It may also be a good idea to remove the promise about future scrapy bench enhancements.

Description

Remove developemt branch instruction form README.md. It was earlier decided to wrap the complete repository into a Java Project. But this idea is not suitable, The sole purpose of this organisation is to serve for educational purpose. Therefore, we want each and every file to be independent from other files.

The current implementation of lyap for complex scalar arguments is incorrect. We can see this by comparing the result obtained using 1x1 matrices vs scalars:

julia> A = (1.0+2.0im)*ones(1,1);

julia> C = (3.0+4.0im)*ones(1,1);

julia> lyap(A, C)  # expected
1×1 Matrix{ComplexF64}:
 -1.5 - 2.0im

julia> lyap(A[1], C[1])  # wrong! 
-1.1 + 0.2im

julia> -C[1] / 2real(A[1])