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I am using intellij idea 2024.1.1 (community edition) Intellij idea 2023.2.2 orange highlight in project view asked 2 years ago modified 2 years ago viewed 3k times All my java files are showing as orange icons (with a coffee cup) in the project file browser on the left hand side

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I click on the file name. Firstly, orange does rhyme with a few words What named colors are available in matplotlib for use in plots

I can find a list on the matplotlib documentation that claims that these are the only names

It seems whenever orange is spoken, it is spoken as one syllable But it appears to be two The newest version of orange (3.34.1 at the time of writing) does not include the compute_cd function anymore I don't know the reason, and i don't know whether it will come back in future releases

For the time being, you might want to install an older version of orange that still has the function, for example Pip install orange3==3.30 which includes compute_cd and is compatible with python. You appear to be running visual studio code on a macintosh, opening a new untitled file and pasting text from elsewhere into it Rather than just duplicating your single paragraph, it would be better to have some additional details, but i'm not sure whether this is configurable and what information might help.

Orange County School OK to not allow mom to volunteer over OnlyFans account, court says | FOX 35
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The indicator is currently implemented by changing the cell collapser and the cell execution counter color to orange, and adding a filled orange circle icon left execution counter

Hopefully, this will improve the situational awareness of the users and lead to more consistent state of the notebooks on save. I am looking for a control code to create orange text in a terminal using ansi or some other standard, is this possible I only see yellow and red available, and i don't think you can mix red and y. In orange, i can attach a dataset to a pca for dimensionality reduction

Typically, in code, i would apply the trained pca to test data after fitting it to the training data

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