ARAE | tensorflow implementation of Adversarially Regularized | Machine Learning library

I need to delete some columns from very large roomDB(SQLite) table.

From what I've read, I can't delete columns from an existing table , To do so I need to create a new table and copy the desired columns (except those we want to delete)

I manage to delete those columns well by copying to a new table, but migration doesn't work because foreignKeys and indices arae missing, what is the clean syntax to do that?

this is the method that i use in the migration to delete some columns:

I have a huge XML file with a lot of values in it. I'd like to find all attributes which are not in "" and replace them. So far I can find every occurance but I struggle to replace them.

The bold araes are matches in my XML with the RegEx down below.

I've followed the tutorial here, to the letter: http://www.meteorpedia.com/read/Infinite_Scrolling and the result is as intended by the author of the tutorial, i.e. that the infinite scrolling shows the first data (old) in the collection to the last (latest), from top to bottom.

The problem is: The place where I want to implement the infinite scroll is in a newsfeed, much like the one found in Facebook, which shows the most recent (latest) data from the collection first, and when you scroll down, the older data will be added.

I've tried to use createdAt:-1 to sort the data backwards, but a funny thing happened:

Upon refresh, the newsfeed will show the first 3 old data (because I put 3 as the limit), and then when I scroll down, another 3 set of data (newer not latest) will be appended at the TOP of the old data, and this pattern continues until the data fully loaded on screen. What I want to achieve is similar to Facebook's Newfeed i.e. the newsfeed shows the latest/recent data at the top, and as the user scrolls down, older data gets called and added to the client. The code is as provided below:

statusBox.html(client)