dtc | Device Tree compiler overlay patches

There are two methods to split a class definition over multiple cells in Jupyter Notebooks

Doing it the naive way (exploiting inheritance and over-riding):

Cell-1

It's not clear what you're trying to do. But when [!(College %in% sctcs) & semester > seq_home] returns FALSE, College[!(College %in% sctcs) & semester > seq_home] returns a zero-length character vector, so first(College[!(College %in% sctcs) & semester > seq_home]) returns NA.

When there are no TRUE values in [!(College %in% sctcs) & semester > seq_home], it's because there are no non-sctcs colleges in any of the semesters after semester[seq_home]. If a student transfers from home_school to one or more sctcs schools, but never to any non-sctcs schools, you'll get an NA value.

You're effectively asking the wrong question. I'm not sure what question you're trying to ask, but what you're currently asking is:

What's the first non-sctcs school this student attended after they attended their first sctcs school?

Some students, however, never attend a non-sctcs school after attending their first sctcs school. For this reason, you get an NA response, which is the correct answer to the question.

This should do the job (unless you only want this to show lines w/ $3 == N/A (which your own attempts don't suggest):

I found my answer.

When I used the maven.compiler.source and maven.compiler.target default variable names I had a problem.

All was well after replacing them with custom variable names common-modules.compiler.source and common-modules.compiler.target, set in in the bill of materials pom:

if you successfully built, you can run emulator without additional arguments. Just typing emulator in console.

Or, please try to set ANDROID_SDK_ROOT as suggested.

To do this I would probably create a model (view) that queried the information_schema and made some assumptions about a 1-to-1 mapping of {sourceTableName} to stg_{sourceTableName} (Assuming this means coverage for you).

Additionally I would look into using the graph.sources.values() JINJA function in order to iterate through all of the documented sources in your project, and then compare that with each of the models in {target.schema}

https://docs.getdbt.com/reference/dbt-jinja-functions/graph#accessing-sources

If you're comparing the existence of source.schema.yml with the source.information_schema. I would alter the approach to consider mapping each of the items in the graph against the total count of items in the information_schema on the source database.

I think this should be as simple as:

Seems to work like this, but I dont like it.

How about: Results= {}

for T, t, dname in zip(Train, Test, Data_names):

for mname, model in zip(model_names, models_to_run):

...

Results[(dname, mname)] = proba.to_list()

Results = pd.DataFrame(Results.values(), index=Results.keys()).T