x3 | A window manager for macOS

In my iOS app "Progression" there is rarely a crash (1 crash in ~1000+ Sessions) I am currently not able to fix. The message is

Progression: protocol witness for TrainingSetSessionManager.update(object:weight:reps:) in conformance TrainingSetSessionDataManager + 40

This crash points me to the following method:

I know there are some other questions (with answers) to this topic. But no of these was helpful for me.

I have a postfix server (postfix 3.4.14 on debian 10) with following configuration (only the interesting section):

I have data in BigQuery with the following schema:

I get this most common error message in shiny app. I am well aware of this error and have resolved it dozens of time. But this time I am stumped.

I'm experienced with Pandas but stumbled upon a problem that I can't seem to figure out.

I have a large dataset ((40,000, 16)) and I am trying to group it by a specific column ("group_name" for this matter) and then for each group apply the following rules so it'd merge into one row per group:

• x1, x2, x3 are the "important" columns, if one row has less nulls than the others, take it. (see example with row D)
• If there are conflicts in any column, it's arbitrary and we can pick whatever.
• Combine the nulls on the important fields (x1, x2, x3), see example with row A.

Here is an example with 6 rows that should turn into 4 groups (aka 4 rows).

So far I have groups = df.groupby['group_name']

I tried many other solutions such as summing each group, applying a transformation, aggregating by each 'important' column, merging on each 'important' column and more. Each solution brought it's own problems so I'm offering this question here without limiting people to a certain way.

Also, I spent nearly two days combining different solutions from other questions but none has seem to work. Perhaps I've missed something.

• Please note that since this is a large dataset, I'd very much like to avoid using for loop on each group since efficiency is something to consider here.

I hope I explained everything properly, please let me know if something is unclear.

Code to re-create the dataframe (thanks to @Henry Ecker from the first answer):

I have two selects, I want to configure them so that only a certain amount of options show in the second select, depending on which first selection is chosen.

I found some code from this post and I've tried to edit it for my situation, as I need too keep the values as they are, because I'm using them in a calculator that needs them like that.

If any one could help me fix/finish this code so it works, it would be much appreciated!

What I'm trying to achieve:

• If the user selects combo-x1, bench-x1 option only shows
• If the user selects combo-x2, bench-x1 option + bench-x2 option only shows
• If the user selects combo-x3, bench-x1 option + bench-x2 + bench-x3 option only shows
• If the user selects combo-x4 up to combo-8, all options show

Here is the JSFiddle: https://jsfiddle.net/mbxz186q/

But here is the code so far as well:

I want to store basketball player information, and the things I want to store are Player name and Player height. Also, I want to be able to iterate using loops through that list, so therefore I made a list of dictionaries to achieve that? I am not sure if everything is correct?

The code:

I am studying ROP on Arm64, I posted my thread here Return Oriented Programming on ARM (64-bit)

However a new/separate issue about choosing rop gadgets has arisen which requires the opening of a new thread. So to sum up i am studying ROP vulnerability on ARM 64 bit and i am trying to test it using a very simple c code (attached to the previous thread). I'am using ropper tool in order to search for gadgets to build my rop chain. But when i overflow the pc with the address of the gadget i got this within gdb:

I like to create some sampling effort curves for species data. Where are several study areas with a number of sampling plots, resampled over a certain time period. My data set looks similar to this one: