specter | level Representation Learning | Natural Language Processing library

Quick questions here:

I have an azure VM set up with Anaconda and Spyder as an IDE. The code that I would like to run with a higher virtual RAM on my local machine is currently NOT using the multiprocesssing library and is still a slave to the specter of GIL on my laptop. I would obviously have to include multi-processing to get the code to use more than one core on my own machine.

The question is do you have to do the same to get the advantage of multiple virtual cores on MS Azure, or will the interface simply batch whatever you run out as if GIL never existed in the VM World?

Thanks!

I have a dataframe in R of data look likes this:

and I want to transform the table to this

What is the fastest way to do it in R?

Here is how I did it, but I admit that it's very long

complete Clojure newbie here. This is a simple question, but I cant seem to get it:

Given that I have a nested hasmap of unknown depth, how do I use Specter's transform() to mutate the values of the data structure? I imagine a recursive-path is required here, but I cant get it to work. a working example is what I'm after and unfortunately, there isn't one in the docs.

(there is an example for set-val on a recursive map, but I don't know how to transform that into a transform use-case)

EDIT: More details were requested, so here they are: I'm interested in a transform form that can mutate all the values of a nested maps - of any depth). for example, this transform would be able to increment all the values in the following maps (and any other nested map):

I have a code that generates color from values ( from 0 to 200% )

Actually the specter is Green-yellow-red.

I would like to change the gradient to Green-Grey-Red : green if percentage < 100% , grey if in 100% field, red if > 100%.

I don't see how to do it using mathematics formula.

I have a problem that I cannot solve. My code:

(note: proper answer must go beyond reproduction).

After millions of invocations, quicksort1 is definitely faster than quicksort2, which have identical code aside from this 1 extra arg.

The code is at the end of the post. Spoiler: I also found the jit code is fatter by 224 bytes even if it should be actually simpler (like the byte code size tells; see very last update below).

Even after trying to factor out this effect with some microbenchmark harness (JMH), the performance difference is still there.

I'm asking: WHY is there a such a difference in native code generated and what is it doing?

By adding an argument to a method, it makes it faster...! I know about gc/jit/warmup/etc effects. You can run code as-is, or with larger/smaller iteration counts. Actually, you should even comment out one then the other perf test and run each in distinct jvm instance just to prove it's not an interference between each other.

The bytecode doesn't show much difference, aside the obvious getstatic for sleft/sright but also a strange 'iload 4' instead of "iload_3" (and istore 4/istore_3)

What the heck is going on? Is the iload_3/istore_3 really slower than iload 4/istore 4? And that much slower that even the added getstatic call is still not making it slower? I can guess that static fields are unused so the jit might just skip it.

Anyway, there is no ambiguity on my side as it is always reproducable, and I'm looking for the explanation as to why the javac/jit did what they did, and why the performance is affected so much. These are identical recursive algo with same data, same memory churn, etc... I couldn't make an more isolated change if I wanted to, to show a significant replicable runtime difference.

Env:

I am trying to write a merge method to generate CSS styles dynamically. This method should take breakpoints, and styles param and creates a map which we use for styling using stylefy.

I am trying to do this using specter, but unable to get desired results.

The code I tried until now:

I'm looking to use Clojure Specter to simplify a deeply nested datastructure. I want to remove:

• any entries with nil values
• any entries with empty string values
• any entries with empty map values
• any entries with empty sequential values
• any entries with maps/sequential values that are empty after removing the above cases.

Something like this:

I want to use the Legends feature for ArcGIS using the ArcGIS Javascript API. So I used the UniqueValueRenderer for my CSVLayer.

The CSVLayer is displayed correctly. But when I display using Google Chrome, defaultSymbol is rendered in all the case. But when I view it using Mozilla Firefox or Microsoft Edge it is working fine.

Screenshot of Chrome:

Screenshot of Firefox: