bart | data pertaining to BART

I have an array of objects as part of a data response that I am grouping together using lodash's groupBy via each object's groupName key.

Some of the items that come back have a groupName value of null, undefined or an empty string and lodash creates separate groups for each of those values.

I combine all of the falsey groups into a single group name "Uncategorized" and attempt to remove the original falsey groups to only return "Uncategorized" and all other truthy groups.

The problem I'm running into is that I'm trying to use the rest operator to remove the original falsy objects with undefined, null, and empty string keys by assigning them to a variable like let groupKeysToRemove = ['undefined', 'null', ''] and then trying to remove them like let { [groupKeysToRemove]: removed, ...groups } = initialGroups; but it returns the same Object with nothing removed. I'm not sure if my syntax is wrong or what but I am stumped.

Code via sandbox:

I have a grid column containing combobox as its editor and am using celleditor plugin in which I want to write some validation logic. When I try to select something from the combobox cell, it is expected to lose its focus after the value is changed and then it should go to the validateedit listener. I know there is a blur() method on combobox which will resolve this issue. But as per document, it is a private method so am avoiding that. I wanted to know if there is another way to lose the focus on change or picker collapse or any config which will perform validation on change of field. Below is the code and fiddle.

I have tried to use grammar defined in grammars-v4 project(https://github.com/antlr/grammars-v4/tree/master/javascript/jsx) to parse jsx file. When I parse the code snippet below,

I have a serious issue with figuring the R function to solve the problem below:

I've used httr and rvest to scrape some data from couple of e-commerce sites and store them into different files as below:

csv1 - columns: EAN, PRICE
csv2 - columns: EAN

ISSUE: For each EAN from csv2, I want to search for the price value from csv1 and print it in column csv2$price for proper csv2$EAN.

Thanks in advance! Bart

I have a list of tuples(rule) and a pandas dataframe(proof_path) .

Inputs

rule :

I have a template in the form of a list of tuples below, and I'm going to instantiate it using dataframe join.

I have a very large knowledge graph in pandas dataframe format as follows.

This dataframe KG has more than 100 million rows:

I receive error messages in R that I can't trace back.

I am trying to fit Bayesian tree models to data with more covariates than observations. With my level of knowledge, I believed this should not be a problem, however, no matter what package I try, all attempts resulted in errors.

When using the bcf()-function from the bcf-package with ncol(x) > nrow(x), I get the error:

bcfoverparRcppClean(yscale[perm], z[perm], t(x_c[perm, ]), t(x_m[perm, : drmu failed

bcfoverparRcppClean() itself is written in C++ which I did not attempt to dig into just yet.

When I only select parts of the covariates, the function performs as expected.

Similar happens for example with the bart()-function from the BayesTree-package. Here, the error reads:

NA/NaN/Inf in foreign function call (arg 7)

Needless to say, that there are no NAs, nor infinite values in the data and the error disappears once more observations than covariates are being fed.

Please find a reproducible example below:

I have problem with display Component in Foreach loop:

I. First case - component work:

I create simple component (named HelloComponent) like that: