ldb | A C REPL / CLI for LevelDB | Database library

A friend of mine contacted me with a problem he has been having with Discord. Windows asks what program the code below should be run with and the default is Discord. Every time Discord is run, this chunk of code is run:

I'm working on the CNN with one-dimensional signal. It works totally fine with CPU device. However, when I training model in GPU, CUDA error occurred. I set os.environ['CUDA_LAUNCH_BLOCKING'] = "1" command after I got RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling cublasCreate(handle). With doing this, a cublasSgemm error occurred instead of cublasCreate error. Though the nvidia document doubt the hardware problem, I can training other CNN with images without any error. Below is my code for the data loading and set data in training model.

The following code is from BPF filters (Berkley Packet Filters). in the first line, ldh [12], it loads [12] something of a packet but documentation of BPF filter says ldh is used to load a half word of a packet and in third line it loads [23] something of a packet but documentation says ldb is used to a load byte . I like to know what is 12 and 23 along with ldh and ldb respectively.

I have similar effects and want to combine it in one but dont know how to do it

Here's my effects (I need to pass different id depends on action type):

I have a similar case of a table, Like the case of this link Update same data from the same table but in my case it must update depending on the column "dependency". In other words, it updates the repetitions in the tables always leaving the most recent line and for table that only have one line it does not update. My data is like this:

I want it to be updated like this:

I tryed this code:

I have a table that has registration of several CAR (repeated and not repeated), so I intend to update a field (active) of all repeated registrations leaving 1 more recent line.
Exemple of table data:

I want my data to be like this:

I tried to make this code, but it is not working correctly. Because updated the first row

I'm trying to create a generic container object (done; no problem) which can be deep cloned. That means it has to deep clone its contained objects, and it's this that is causing me problems. Here's some code:

I have the following Fortran code from https://software.intel.com/content/www/us/en/develop/documentation/mkl-tutorial-fortran/top/multiplying-matrices-using-dgemm.html

I am trying to use gfortran complile it (named as dgemm.f90)

I wanted to test the cuda implementation of xgels provided with CUDA 11.1, and it seems I cannot make it work properly. For instance, this code seems to run just fine: