sse | A libcurl-based client for server sent events | HTTP library

I just noticed absence of _mm256_insert_pd()/_mm256_insert_ps()/_mm_insert_pd(), also _mm_insert_ps() exists but with some weird usage pattern.

While _mm_insert_epi32() and _mm256_insert_epi32() and other integer variants exist.

Is it some intentional idea of Intel not to implement float/double variants for some reason? And what is the correct and most-performant way to set single float/double at given position (not only 0th) of SSE/AVX registers?

I implemented following AVX-double variant of insert, which works, but still maybe there is a better way to do this:

Try it online!

in my code "all" is the data taken from the sqalchemy database,now i am having another list "asked", In that list,name are of columns are stored of which details are required but when i run this code it give me an error: asked = ["S_NO", "FAIL_TIME", "RIGHT_TIME", "FAILURE_REMARKS"], when i run "all.S_NO" or "all["S_NO"]" it run's perfect. but the case I defined it gives me error

This is the function i have written

I want to get a list of values updated whenever its value is changed through a hook setState function, however I am getting an error I don't know why... I am getting a .map is not a function TypeError

Down bellow is my code and I also have a codesandbox link: https://codesandbox.io/s/fervent-satoshi-zjbpg?file=/src/Incomes.js:23-1551

I am working on a C++ intrinsic wrapper for x64 and neon. I want my functions to be constexpr. My motivation is similar to Constexpr and SSE intrinsics, but #pragma omp simd and intrinsics may not be supported by the compiler (GCC) in a constexpr function. The following code is just a demonstration (auto-vectorization is good enough for addition).

I use NextJS API interfaces as Server Sent Events as follows:

this is yet another SSE is slower than normal code! Why? type of question.
I know that there are a bunch of similar questions but they don't seem to match my situation.

I am trying to implement Miller-Rabin primality test with Montgomery Modular Multiplication for fast modulo operations.
I tried to implement it in both scalar and SIMD way and it turns out that the SIMD version was around 10% slower.
that [esp+16] or [esp+12] is pointing to the modulo inverse of N if there's anyone wondering.

I am really puzzled over the fact that a supposedly 1 Latency 1c Throughput 1uops instruction psrldq takes more than 3 Latency 0.5c Throughput 1uops pmuludq.

Below is the code and the run time analysis on visual studio ran on Ryzen 5 3600.

Any idea on how to improve SIMD code and/or why is it slower than a scalar code is appreciated.

P.S. Seems like the run time analysis is off by one instruction for some reason

EDIT 1: the comment on the image was wrong, I attached a fixed version below:

This is my goodness of fit test:

I am trying to great a weather app using The Weather API. I have managed to get the information that I need from the JSON and display it in HTML.

I would not like to get the hourly weather from the JSON and display it from each hour. I thought about doing this within a loop and displaying it that way but am unsure how to write it.

Here is the JSON