add | numerically stable algorithm that adds floats

I want to add a new column 'BEST' to this dataframe, which contains a list of the names of the columns which meet these criteria:

• Subtract from the current value in each column the value in the row that is 2 rows back
• The column that has the highest result of this subtraction will be listed in 'BEST'
• If more more than one column shares the same highest result, they all get listed
• If all columns have the same result, they all get listed

Input:

I built an app using Django 3.2.3., but when I try to settup my javascript code for the HTML, it doesn't work. I have read this post Django Static Files Development and follow the instructions, but it doesn't resolve my issue.

Also I couldn't find TEMPLATE_CONTEXT_PROCESSORS, according to this post no TEMPLATE_CONTEXT_PROCESSORS in django, from 1.7 Django and later, TEMPLATE_CONTEXT_PROCESSORS is the same as TEMPLATE to config django.core.context_processors.static but when I paste that code, turns in error saying django.core.context_processors.static doesn't exist.

I don't have idea why my javascript' script isn't working.

The configurations are the followings

Settings.py

I have a dynamic query that adds WHERE clauses according to the parameters received:

I'm trying to decrease the bundle size of my Vue project, which scaffolded by the vue-cli, by using CDN of firebase, Vue, and Vuetify.

So, I've added links of these CDN in public/index.html as follow:

I want save photo and add name of file and text of message to database.(Also in this database I have status of request and user, how make request, this 2 columns works ok)

Database:

I'm trying to understand how parallelization works in Durable Function. I have a durable function with the following code:

I have a data frame including three columns named 'Altitude', 'Distance', 'Slope'. The column of 'Slope' is calculated using the two first columns 'Altitude', 'Distance'. @ the first step the purpose was to calculate 'Slope' using a condition explained below: A condition function was deployed to start from the top column of the "Distance" variable and add up (sum) values until the summation of them is greater or equal to 10 (>=10). If this condition corrects then calculate the "Slope" using the given formula: Slope=Average(Altitude)/(sum(Distance)). The summation of the 'Distance' was counting from the first value of that to the index that the 'Distance' has stopped there). The following code is for the above explanation (By Tim Roberts):

Giving a bit of context. I'm using c++17. I'm using pointer T* data because this will interop with cuda code. I'm trying write a parallel version (on CPU) of a histogram creator. The sequential version:

Can someone help me investigate why my Chainlink requests aren't getting fulfilled. They get fulfilled in my tests (see hardhat test etherscan events(https://kovan.etherscan.io/address/0x8Ae71A5a6c73dc87e0B9Da426c1b3B145a6F0d12#events). But they don't get fulfilled when I make them from my react app (see react app contract's etherscan events https://kovan.etherscan.io/address/0x6da2256a13fd36a884eb14185e756e89ffa695f8#events).

Same contracts (different addresses), same function call.

Updates:

Here's the code I use to call them in my tests