VarDict | VarDict -

Welcome, this is very rare use-case question.
So, here is what I'm trying to do - lets say I have a variadic template function which takes T ...args and a function type FuncT funcName, so here is what we have so far:

I'm having a problem creating a JSON array containing sub arrays in VB.Net Visual Basic. I've tried a number of different approaches, and can't figure out how to get the sub array to appear as an array (it's missing the [ and ]).
My current code (shortened here for clarity's sake) is:

I am handling messy data, and I need to find any data points that are not postive ints, or can Not be converted to a Positive int using int(value)

Here is some example scenarios

I have following XML file that I am parsing using XML serializer.

I access through Python to a SPSS database. I take all information needed from there: variable names, variable labels, value labels etc.

But when I reach to the labels, I am not able to put them as UTF-8 (this is the case in the dataset, they are supported and shown correctly when I open the data with SPSS).

The main issue here for me, is that after I get all information needed, I want to write an XML file (with LXML), but this is giving an UnicodeEncodeError.

I do not know how to proceed to get the corrected labels in the XML in the end. .encode('utf-8') is not changing anything, so I am really clueless if there is a way to do it?

My code:

I'm building my first RNN in tensorflow. After understanding all the concepts regarding the 3D input shape, I came across with this issue.

In my numpy version (1.15.4), the shape representation of 3D arrays is the following: (panel, row, column). I will make each dimension different so that it is clearer:

I have write a makefile that prepare some files. I create ORIGINAL directory and then I use the file inside the folder for start the others rules

I am trying to pull the variables' names, labels and value labels. I noticed that all assignments are quite fast, except the one referencing the ValueLabels. On my test dataset, if I comment out that line, everything else takes about 1 second. But that line alone delays the whole code by about 15 seconds, and the test dataset is not a large one (by my standards at least :))

Is this something inherent with accessing the variable dictionary ? Or is there another, faster, way of pulling the whole dictionary, without going variable by variable...?