mouthful | Mouthful is a self-hosted alternative to Disqus | Proxy library

I have an array, consisting of 8 values per line:

...

Okay, the title is quite mouthful. But it's actually describing the situation.

I deployed a service on GKE in namespace argo-events. Something was wrong with it so I tore it down:

...

Goal: To change a column of NAs in one dataframe based on a "key" in another dataframe (something like a VLookUp, except only in R)

Given df1 here (For Simplicity's sake, I just have 6 rows. The key I have is 50 rows for 50 states):

Index State_Name Abbreviation 1 California CA 2 Maryland MD 3 New York NY 4 Texas TX 5 Virginia VA 6 Washington WA

And given df2 here (This is just an example. The real dataframe I'm working with has a lot more rows) :

Index State Article 1 NA Texas governor, Abbott, signs new abortion bill 2 NA Effort to recall California governor Newsome loses steam 3 NA New York governor, Cuomo, accused of manipulating Covid-19 nursing home data 4 NA Hogan (Maryland, R) announces plans to lift statewide Covid restrictions 5 NA DC statehood unlikely as Manchin opposes 6 NA Amazon HQ2 causing housing prices to soar in northern Virginia

Task: To create an R function that loops and reads the state in each df2$Article row; then cross-reference it with df1$State_Name to replace the NAs in df2$State with the respective df1$Abbreviation key based on the state in df2$Article. I know it's quite a mouthful. I'm stuck with how to start, and finish this puzzle. Hard-coding is not an option as the real datasheet I have have thousands of rows like this, and will update as we add more articles to text-scrape.

The output should look like:

Index State Article 1 TX Texas governor, Abbott, signs new abortion bill 2 CA Effort to recall California governor Newsome loses steam 3 NY New York governor, Cuomo, accused of manipulating Covid-19 nursing home data 4 MD Hogan (Maryland, R) announces plans to lift statewide Covid restrictions 5 NA DC statehood unlikely as Manchin opposes 6 VA Amazon HQ2 causing housing prices to soar in northern Virginia

Note: The fifth entry with DC is intended to be NA.

Any links to guides, and/or any advice on how to code this is most appreciated. Thank you!

...

I'm attempting to create a web scraping program that gathers information from Wowpedia. (A wikia style website)

My primary concern right now is meaningfully being able to simply, so I can remember/reference for the future as I really struggle with this, gather information from a table when there are no reliable IDs to cite. Preferably, I would also like to do this without relying too much on individual CSS selectors, but if they are required I will happily oblige.

As an example, I will provide a simple code snippet I typed up to showcase how I would begin to tackle this problem.

...

I'm trying to subtract a value by another value from another table (Sorry for the mouthful) But the SQL which i've developed keeps throwing the same error:

#1064 - You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near 'FROM products INNER JOIN order_details ON products.ItemID = order_details.Item' at line 2

This is my code:

...

I would like to share selected tensors between two versions of a function. I have made a simple example to illustrate what I'm looking for and what I have tried (the actual code is a mouthful for the moment).

I have the following code:

...

I'm trying to write this in Rust:

...

A bit of a mouthful question...

I've looked over dozen of similar questions, but they either have to do with components in the same file, or with singular buttons.

Desired Effect:
I'm trying to display repository commits once a user clicks on a card of a specific repo. The commits are hidden until they press a button. If the user clicks the button when the commits are showing, it should hide the commits. Continuous clicking of a repo card should show/hide/show/hide/etc. the appropriate commit cards.

...

I'm trying to figure out how to merge/join two data frames in such a way that if a certain condition is met, R combines two rows from the two data frames into one row, but if the condition is not met, R adds a new row with NAs in the columns that are not present in the original data frame. I'm unclear if this is a simpler join than I think it is, but I've been unable to figure out how to do this, even after reading through some stack overflow results (e.g. or e.g.).

Below are two example data frames:

...