wasabi | A lightweight console printing and formatting toolkit | Command Line Interface library

I want to play my HLS streams from Wasabi. I enabled S3 options in Ant Media Server Dashboard. But it seems that Ant Media Server uploads HLS files after the stream ends. How can I play HLS chunks on Wasabi?

I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:

I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).

Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?

Original data frame new data frame for imputed variables

This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?

I'm building a tool with ReactJS where (logged in) users can upload images to some kind of gallery that they can access from there user account whenever they like.

I plan to upload the data directly to a cloud storage (most likely wasabi) and store them there.

What are best pratices to let users access images in a secure way? Of course the user that uploaded the images, should be able to see them in his gallery, but no other user. I mean I can of course only show the user associated images in the galleries, but i am concerned about data protection and also direct access to the images. Is it enough to store the files e.g. in a folder with a hashed name, so that no one can guess the image path? Or are some other restrictions necessary? I just don't see how I can additionally restrict access to the images to be displayed in the account without drastically degrading the user experience.

Happy to read your thoughts.

Thanks!

I wanna create a S3 bucket that anyone can get object but only iam user can upload an object.

My bucket policy is like this. Anyone can read objects, but cannot do delete, list, create action.

I downloaded a requirements.txt file from a GitHub repository, but it appears to be little different than the normal format of requirements.txt file.

1. Can you tell me how the author generated this kind of requirements.txt file? Which tools did they use?
2. How can I use this particular file format to instantiate the Python environment? I have tried executing the commands conda install --file requirements.txt and pip install -r requirements.txt on a Windows ‘ machine, but to no avail.

https://github.com/wvangansbeke/Unsupervised-Classification/blob/master/requirements.txt

data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data

I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.

I am using : nestJS, typescript, typeORM, postgresQL

I want to check if the input password is same with the data in db.

This is how I define User entity.

I am working on a project and have shifted my environment from local windows to a linux server (via SSH). I only have limited access as the host server is from my college, I've installed many packages without issues (both with and without virtualenv). I'm working on Python 3.6.9.

I was able to install spacy and import it but I need to use the en_core_web_sm package which has to be installed additionally using the command python3 -m spacy download en_core_web_sm. However, I consistently face a PermissionError as seen in the logs below.

Why am I facing this error? Is it because I don't have administrator access on the /usr level (refer to last line of logs)? If yes, how come only this package in particular requires a higher level access? If no, are there any workaround for me to install the package, or do I need to contact the server administrator?