bst | A one-stop shop for process isolation | Continuous Deployment library

The regex you wrote at the online regex testing site is wrong. You are tricked into believing it works by the [\d{2}[^0-9] character class that actually matches a digit, {, 2, }, [ or ^ (with the PCRE/JS regex settings).

You must remember to escape the [ literal char, and remove the .\\d{2} part as there are no extra two digits at that location in your sample strings.

So, you may use

Finding the LCA is helpful, but you could determine the length of the path while determining the LCA.

I would first define a helper function which will give the path from the root to the given node. As the root is the only node without a parent, we don't actually need to provide the root to this function:

Posting my findings as an answer since it's too large for a comment.

Lets take a look at the error shown by systemctl status apod after boot:

urllib2.URLError:

This implies that the requests.get() call fails.

This makes sense, since your systemd script is called before the machine has an active network connection. Therefore, the request will always fail, resulting in an error.

I'd recommend adding an Wants / After network-online.target to ensure the systemd script is started when the machine has an active network connection:

The tree is not valid because you have a leaf on the right side that is less than the root. Even though it is on the left of its parent, which is correct, everything to the right of the root must be greater than the root.

https://dev.to/adityavardhancoder/what-is-a-valid-binary-search-tree-4kgj Example 3 in this link explains, hope this helps :)

You're missing return statements for your recursive calls. So not only does the recursion continue, but the value is never returned to the original caller.

Only in-build algorithms automatically store the model in Google Cloud storage.

In your case, you have a custom training application. You have to take care of saving the model on your own.

Referring to your example this is implemented as listed here.

The model is uploaded to Google Cloud Storage using the cloud storage client.

SampleController is not the most easy code to deal with. They have example on how they cast objects to a known resource type. And they also have example on how they lookup the resource from a lister.

Unless you have specific needs, I would recommend to also consider using kubebuilder and follow the kubebuilder book that has intuitive explanations of making controllers.

I think the problem here is some layer the bias=None but in testing the model required this, you should check the code for details.

After I check your config in train and test, the norm is different. For the code in GitHub, the norm difference may set the bias term is True or False.