WolframAlpha | An implementation of the WolframAlpha 2.6 API in C | REST library

I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.

Here is the full ImportError that I get when I try and run the program:

1st, I'm new to Julia language and quite noobie with math related questions.

I'm running Function Accuracy Test tool (in Julia 1.7.2 on 64-bit Ubuntu 18.04) and test sin() function. Problem is the result sin(x...) and sin(big, x)...) which function calls gives.

Here's an example of few input values (Float16):

I am trying to migrate my python changes to my docker project, however when I try to run the command python manage.py db migrate I get the error unknown database 'main', however when I look inside of my docker-compose.yml file I see that main is indeed defined inside of the MYSQL_DATABASE variable inside of the container db. I have tried some solutions found on StackOverflow as well as Github like getting the restart: always out of my docker-compose.yml script and making a Windows PowerShell script that will run to restart my docker container as found here: MYSQL Docker container gives "unknown database" error, and trying to change my DATA_SAVE_PATH variable and other such variables in my docker-compose.yml: https://github.com/laradock/laradock/issues/1017 and I have also tried to change the MYSQL_DATABASE variable to a different name but that doesn't work either.

Here is the full error that I am receiving when I run my code:

So I'm preparing for a technical interview, and one of my practice questions is the Kth smallest number. I know that I can do a sort for O(n * log(n)) time and use a heap for O(n * log(k)). However I also know I can partition it (similar to quicksort) for an average case of O(n).

The actual calculated average time complexity should be:

I've double checked this math using WolframAlpha, and it agrees.

So I've coded my solution, and then I calculated the actual average time complexity on random data sets. For small values of n, it's pretty close. For example n=5 might give me an actual of around 6.2 when I expect around 5.7. This slightly more error is consistent.

This only gets worse as I increase the value of n. For example, for n=5000, I get around 15,000 for my actual average time complexity, when it should be slightly less than 10,000.

So basically, my question is where are these extra iterations coming from? Is my code wrong, or is it my math? My code is below:

I have been trying out an open-sourced personal AI assistant script. The script works fine but I want to create an executable so that I can gift the executable to one of my friends. However, when I try to create the executable using the auto-py-to-exe, it states the below error:

This thread is a continuation of my last asked question.
My friends and I are trying to make a multi-functional calculator that can automatically calculate the roots of quadratic, cubic, and even quartic equations. However, we have run into some problems, previously on cubic equations, now on quartic equations.

Unlike the last thread, we will provide images including the answers calculated by our program and the answers calculated by WolframAlpha instead of putting them into text here.
The quartic equation will be denoted as in

ax^4 + bx^3 + cx^2 + dx + e

Our method of finding the roots of a quartic equation. (Found on another thread from another website)

a=1 b=2 c=-41 d=-42 e=360
a=1 b=-0.25 c=-0.85 d=1.45 e=-4.35
a=1 b=2 c=3 d=4 e=5

As seen in the images, the discriminant calculated by the program is always correct. However, the roots of the equation can sometimes cause errors (NaN), and the nature of roots can also cause errors as well but so as often as the roots do.

With all the information provided above, we wish to know the answers to the following questions :

• What exactly is causing these errors and problems,
• What amendment should I make to my code so that the program can function properly and as intended,
• Whether our method of finding the roots of a quartic equation is correct, or is it even possible to find the roots of all quartic equations by a general formula,
• Last but not least, is there a way to improve, or condense the code lines in our program but still function as we intended it to.

As aforementioned in the previous thread, we have just started learning C#.
For your convenience, we have put notes to some code lines.

Codes (C#) :

I'm creating an Ai/Api it used to stop the window when I asked a question now it freezes. I got it working ll except I can't input more than once. I'm using PySimpleGui as my gui window creator. I can't find how to fix it. It just stops freezes the windows still open but closes when i attempt to use the application. Am I not supposed to use input?

I am trying to efficiently compute a summation of a summation in Python:

WolframAlpha is able to compute it too a high n value: sum of sum.

I have two approaches: a for loop method and an np.sum method. I thought the np.sum approach would be faster. However, they are the same until a large n, after which the np.sum has overflow errors and gives the wrong result.

I am trying to find the fastest way to compute this sum.

While writing this answer, I used the mpf_pow function to calculate 12.3 ^ 123, and the result is different from the one given by WolframAlpha (which by the way also uses GMP).

I casted the code to pure C to simplify: