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Comments (6)

phillc54 avatar phillc54 commented on June 14, 2024

Looks like it was removed in 2.9 but not from the docs.

This is 2.8

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Sigma1912 avatar Sigma1912 commented on June 14, 2024

A pull request is pending to fix the documentation:
#2789

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jethornton avatar jethornton commented on June 14, 2024

Seems the function should be fixed as there is no replacement for it.

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Sigma1912 avatar Sigma1912 commented on June 14, 2024

Seems the function should be fixed as there is no replacement for it.

We have already had this discussion on the pull request page, I don't understand why you keep insisting on putting the axes attribute back in the status channel when one line of python code will give you what you want:

number_of_axes = (s.axis_mask).bit_count()

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jethornton avatar jethornton commented on June 14, 2024

Because who in the world would know how to do that? You sure, 99% of the rest of us it's more usable to just use s.axes. I don't understand why it was removed being such a nice thing to have. I also don't understand your opposition to having the axes stat...

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Sigma1912 avatar Sigma1912 commented on June 14, 2024

The point is that all these attributes have to be sent on every single poll of the status channel. It's simply inefficient to send the same information twice.

I'm not a programmer. There is no shame in not knowing all the functions python has to offer, I also did not know to do it until I tried to help you with your issue. It took me maybe 15 minutes of online research to figure out how to do it. I even went through the trouble of trying it out and posting my findings for you and others. Yet all I got is you ranting about wanting it the old way.
I just find it surprising that somebody who is obviously clever enough to have used linuxcnc and it's python interface for years would spend that much time and energy to have redundant information put back in the code.
Clearly it would have taken less effort to create a pull request to update the 'python-interface.adoc' on how to use .bit_count to extract the information from the 'axis_mask' attribute.
And with this I rest my case.

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