UCR | Universal Control Remapper | Keyboard library

Wondering if there is a way to access the underlying net.Conn to retrieve user credentials using SO_PEERCRED and verify a request before it is handled by the server.

From https://blog.jbowen.dev/2019/09/using-so_peercred-in-go/, the net.UnixConn is needed to return the unix.Ucred used for verification. So if there is some way for the server request handler to get at the net.Conn, this should be easy

I looked at a UnaryServerInterceptor, but nothing provided in UnaryServerInterceptor seems to contain the net.Conn

Suppose I have a dataset like the one below. How can I create string variables that are equal to the value labels of the columns partidoand comision1 in the data below?

That is the original dataset:

I have a dataset for credit card transaction.

I split this dataset by group using below code

I am trying to import a whole bunch of csv files into a postgreSQL database. CSV files are format is shown below. I want to be able to swap between html files and display different statistics (tables) for each county.

I have this LINQ:

In TypeScript, I declare an interface like this:

Trying to scrape this website --> https://ucr.gov/enforcement/1000511 It used to work with the code below and then stopped. Can't get a json or any content in the response.

I'm not sure I wrote right thing on title.

This is the temp thing I use:

I have been trying to make Camelot work on specific areas of pdf pages for a good couple of days but it keeps puzzling me. I reviewed and tried the docs suggestions, a few bug reports and this SO question to no avail. I could use some help.

I took an example from the docs, since it has more than one table, this one. I amended the original command to extract only one of the two tables, from:

tables = camelot.read_pdf('12s0324.pdf', flavor='stream', strip_text=' .\n')

to:

tables = camelot.read_pdf('12s0324.pdf', flavor='stream', strip_text='\n', table_area=['33,297,386,65'], pages = '1')

Whereas:

• I changed the regex because it was eliminating spaces between words,
• used table_area instead of the docs' table_areas because the former triggers the elaboration, while the second an error (the bug is explained here, and the docs still seem to be wrong)
• tried to extract both tables and checked the respective areas using camelot's plot feature as explained in the docs here, so they should be right,
• tried also using table_regions and at least it pulls one table out instead of two, but it remains rather inaccurate (see comments below)

So here are the results of my trials on the pdf mentioned above:

First one: using table_area on the '35,591,385,343' PDF area (top table)