tfile | tiny C11 file utilities

If you already have a dataframe created from a CSV and want to have another CSV, you can do this in two steps.

First, after loading the CSV into your dataframe drop the columns you don't need aka. select the ones you do want. See this post for reference: https://stackoverflow.com/a/11287278/6826556

To combine different dataframes into one, use pandas concat functionality. Assuming you have one dataframe outside of the loop named df_all, you can concat the current one to that incrementally.

This was happening because I literally didn't have the specified model file. Since I was using an AAR plugin, I had to download all the underlying dependencies into Unity's Assets/Plugins/Android using unity-jar-resolver. After I did so, I was experiencing a dependency collision, which forced me to delete that dependency ("com.google.mlkit:pose-detection:17.0.1-beta3"). In the end, it turned out that I had only a reference of "com.google.mlkit:pose-detection:17.0.1-beta3" in the Unity Plugin, not the whole contents.

As a workaround, I exported my project into Android Studio and added "com.google.mlkit:pose-detection:17.0.1-beta3" into Gradle. Everything works now.

If (when the file doesn't exist) you want to create it as empty, the simplest approach is

You're not doing something wrong: it's a NotImplementedError because memberwise serialization has not been implemented in Uproot. That's Issue #38, which has been getting a lot of attention recently.

Other people finding this question, years later: check to see if Issue #38 has been resolved.

First, I'd like to say while this is a very common idiom, it has no error checking and I despise it.

Now that I got that off my chest...

Your program only reads 20 bytes. Whatever there is to be read after those 20 bytes, from whatever the program's standard input is connected to, stays there. Be that input from the terminal, a pipe buffer, or a file.

If you used the stdio input functions (fgets(), fread() etc.) instead, they would ask the OS for a larger block of data (usually 4096 B with glibc on Linux), so the issue wouldn't come up with such a short input.

To get everything there is, you need to loop, reading everything until EOF and, since you're implementing tee, also copy all of it to standard output and the output file.

i.e. something in this direction:

If you are looking for a c++ solution you can use the following functions that I had created a while back:

The problem was almost certainly this:

# ThreadID: 26552 - self.katago_process.stdin.flush() , the problematic call that hangs, originating from the stdout read thread

Since the C++ program tries to write+flush, while the thread that is supposed to read this output is in turn flushing, they get deadlocked occasionally.

I solved this by making a write queue+thread such that all the flushing to the external program is done in a separate thread.

You have not closed your input section before opening your filter section. As a result, the logstash configuration compiler interpets the csv filter as a csv input

Try moving the final } to after the filter section.