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For instance, graduate student Tal Galili worked with colleagues at Tel Aviv University to develop a Plotly-based toolbox to build interactive heat maps from uploaded data sets, as well as a Shiny interface that runs the code behind the scenes.
It just runs the code you give it, and you don't much care how.
If you choose one of the correct options (sometimes it gives you several that work to demonstrate different output), it "runs" the code and shows the result.
The function is described in words (in this case the method name is sufficient) and we implement a test which runs the code against an expected valid output: @Test.
The command line should flash for a brief moment, as it runs the code.
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"Who's running the code here?" someone asked.
Display the result of running the code in megalistmanips.s.s
You can try running the code on it.
We run the code on HPS side and get the calculation time approximately 5ms.
A file readme.txt included in the archives gives instructions on running the code.
Try to reason out what the hit rate will be BEFORE running the code.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com