Merge | Add overlays to videos similar to Snapchat | Computer Vision library

I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:

Update: Added a simpler demonstration jsfiddle, https://jsfiddle.net/47sfj3Lv/3/.

reproducing the problem in much less code I'm trying to move away from jQuery.

Some of my code, for populating some tables, has code like this

Here is my situation: I have 2 tables, Question and Answer tables both containing a post_date column. I want to get the count of the questions and answers for the recent 7 days whether or not the count is 0. Refer this for the desired output

I have tried the following code:

I have an array of objects each with a groupName key/value and then an item key with an array of objects as it's value.

I'm trying to use .reduce() with a forEach to iterate over the main array and merge all of the item values into a new Object with a single groupName and an items array containing all the original item values.

Every time I run the function I only get back the first value and I'm trying to figure out what I'm doing wrong.

Current Function:

I am trying to divide merged information from one cell into separate cells.

one cell:

divided data: (I want to export each part into another cell)

I can't simply divide by finding empty space, status cell which is case-sensitive | status:WBB NAS MRR OWA PXA| has a different data range with spaces that can't be divided.

Split ( expression [,delimiter] [,limit] [,compare] )

I have a data frame with the name of the objects, the values of each one, and another column with the type of the object ('A', 'B', 'C'). Something like that (I can't put here my data because the data frame is too large, but this example may help)

I want to plot the boxplot of all the objects (this means A, B and C together), and the objects of the type 'A' and 'B'. Three boxplots in total. But doing :

ggplot(data, aes(x=type, y= values))+ geom_boxplot()

I get the boxplots of the types A, B, and C, obviously, but what I want is have a boxplot with all the objects, another with the objects type A and another with the object type B.

And when I try to do it in another way I get the error:

I have a question about how rebasing works in git, in part because whenever I ask other devs questions about it I get vague, abstract, high level "architect-y speak" that doesn't make a whole lot of sense to me.

It sounds as if rebasing "replays" commits, one after another (so sequentially) from the source branch over the changes in my working branch, is this the case? So if I have a feature branch, say, feature/xyz-123 that was cut from develop originally, and then I rebase from origin/develop, then it replays all the commits made to develop since I branched off of it. Furthermore, it does so, one develop commit at a time, until all the changes have been "replayed" into my feature branch, yes?

If anything I have said above is incorrect or misled, please begin by correcting me! But assuming I'm more or less correct, I'm not seeing how this is any different than merging in changes from develop by doing a git merge develop. Don't both methods result with all the latest changes from develop making their way into feature/xyz-123?

I'm sure this is not the case but I'm just not seeing the forest through the trees here. If someone could give a concrete example (with perhaps some mock commits and git command line invocations) I might be able to understand the difference in how rebase works versus a merge. Thanks in advance!

I'd like to implement UPDATE (method PUT) operation for REST api. From front-end application my controller method expects map of values, for example:

I have a long list of multi polygons in GeoPandas dataframe (Sample below) covering a large area

As you can see each Polygon has a value assigned to it