aind | Ai n't an emulator | Continuous Deployment library

I am trying to access the IBM Watson Discovery API (Free Trial) using the piece of code below:

I have created a dialogflow agent to register some informations from the users, aind i need to write these answers as the same document for each user, but the code i made is writing each answer to an individual document instead of all of them as different, the logs don't show any errors so i suppose it's a logic problem that i am unable to identify...

index.js:

I'm having some difficulty installing quadprog on macOS under Python 3.6. I've tried numerous solutions but nothing seems to be working.

What I need to install is trajectory_planning_helpers and it needs quadprog. This is the error that I'm getting when I enter the command pip3 install quadprog:

I have partially removed Anaconda R. Base R now runs by default. However, when I install some R packages with base R install they fail. I think they are failing because of an old symbolic link to anaconda.

I want to remove Anaconda R because there are too many package version conflicts.

I am using Linux Mint 19 (i.e. Ubuntu 18.04).

I followed this post to remove Anaconda R. Thus, I did:

1. conda uninstall r-base
2. conda uninstall r-*

Now which R returns /usr/bin/R. If I load R from the linux command line using R and then run version in R I get:

The "buildSelect" function provided in this white paper generates error when I try to apply it to a select statement.

I do not know much about collision detection and I am trying to resolve 3D collisions exactly. To do so, I am using the Minkowski difference. The thing is, I am having problems calculating the difference between two shapes.

What I tried doing: In 2D you can calculate the M. difference of 2 polygons (A and B) by looping in the edges of A finding the correct support vertex of B by using the reversed edge normal of A and then substrating the edge of A by the supporting vertex of B. And then do something similar by looping through the edges of B.

So basically, in 3D I tried doing the same thing by using triangles instead of edges. It seems to kinda work and kinda fail (here is M. difference of a cube with the same cube turned 45 degrees): Click to view image.

As seen in the image, there is a weird hole in the middle. I don't think this is normal because we are supposed to end up with a closed shape.

Here below is my code (note that the code is very unoptimised because I'm not sure about how to choose the supporting vertices, so I don't choose, I take all of them).

Here is the class which takes care of the Minkowski stuff (if there is an //OK over the method, I'm pretty sure that it works):

I'm trying to get the selected row in a table in Swift 4. The code presented for completeness, is as follows:

Version of Tensorflow: 1.2.1
Version of Python: 3.5
Operating System: Windows 10

Another poster has asked about this same problem on StackOverflow here, and he appears to be using code from the same Udacity Word2Vec tutorial. So, maybe I'm dense, but the code of this example is so busy and complex that I can't tell what fixed his problem.

The error occurs when I call tf.reduce_means: