amplified | AWS Amplify libraries wrapped with React hooks | AWS library

I was looking to include a responsive card template into my project and used one of the templates from CodePen to do this. However, when I copied the code from CodePen to my own platform, The card would not expand when I click on "click on expand" like it is unresponsive. But over here, the code runs fine, but not on the IDE I am using.

Where I got the whole code from initially: https://codepen.io/ryanparag/pen/EOBdOK

The HTML/CSS of the card:

I run some benchmarks through JMH

Supposing I have three benchmarks listed in one Java File

I'm trying to setup an orthographic camera in C++ and I have some problems getting the rotation correctly.

When I try to rotate the camera around the z axis by 45 degrees, everything works as expected (model is defined from -0.5f to 0.5f).

However, when trying to rotate around x axis, the angle gets really amplified (i.e. rotation around 1 radian makes it almost disappear).

Here is the related code:

Say I have 2 white images (RGB 800x600 image) that is 'dirty' at some unknown positions, I want to create a final combined image that has all the dirty parts of both images.

Just adding the images together reduces the 'dirtyness' of each blob, since I half the pixel values and then add them (to stay in the 0->255 rgb range), this is amplified when you have more than 2 images.

What I want to do is create a mask for all relatively white pixels in the 3 channel image, I've seen that if all RGB values are within 10-15 of each other, a pixel is relatively white. How would I create this mask using numpy?

Pseudo code for what I want to do:

I'm experiencing a strange issue on MS Edge. I want to animate a door (a div tag ) around the Y axis with the css rotateY() function, combined with perspective properties. The issue is that interpolate angle from a positive value to a negative value (50deg => -100deg) produces a glitch near zero.

Here is the simplified code : https://codepen.io/stephanemill/pen/LYGowqo - Microsoft Edge 44.18362.449.0

I am currently using the babel compiler to compile my React component libraries. I made this decision based on the fact that Create React App also uses the babel compiler. However, I am now finding that using babel to create libraries is more complicated. You need to introduce the TypeScript compiler anyway to generate type definitions. Thus I need to maintain two sets of configurations, babel and tsconfig. This complexity gets further amplified by the fact that I have multiple such libraries in a monorepo.

So my question is:

1. Is there any good reason to use the Babel TypeScript compiler to compile React libraries (vs tsc)?
2. Am I going to loose any features if I get rid of Babel completely and rely only on tsc?

TL;DR

My query has three temp tables due to the many mitigating factors described in the below post. I do not know of a way to combine the temp tables into a single temp table in order to pass information between two case statements. Nor do I have a way to pass the information between the case statements as a SET @variable = CASE raises the "Multi-part identifier could not be bound" error. So I need a way to refactor or alter my query to allow information to be passed from one Case statement to the other.

I have a query with three temp tables running on SQL Server 2012.

The first temp table, (#HRData), holds HR information. After a SELECT that features FULL OUTER JOINS it ends with a CTE that deletes unwanted rows using:

I have two related datasets, with one of them that can be slightly below 0.

I am trying to calculate the 'linear' percent difference between the two.

I have written some example code: perc[1] is the proper percentage method, however in the last two example cases, the percentage differences are not 'linear' for both sides (ie -87 compared to 700)- I need them to be equal or have some linearity in their calculation, whereas the last three methods are linear I guess. I like perc[3] as it is just the absolute difference and amplified, but kind of unitless. Maybe [4] or [5] is the most accurate for this use case, using the mean of the two as the denominator?

Im currently doing distance calculations between coordinates and have been getting slightly different results depending on the language used.

Part of the calulation is taking calculating the cosine of a given radian. I get the following results