tabix | bgzip binaries are now part of the HTSlib project | Data Visualization library

My goal is to achieve the following using FOR loop.

I'm currently designing parallel processing (by using aRFC), for mass GI job.

The problem is - How can i get return of EACH job result?

I used TABLES parameter, which are declared in main report (gt_result), and when aRFC is done, each FM doing MODIFY itab inside the function.

The problem is - inside each job, I checked data is changed(inside the gt_result), but when job is finished, and return to main report program, ITAB wasn't changed!

Is it possible to change ITAB value, using aRFC parallel processing? or Is it other way to get result from each job?

Any help will be appreciated. Thanks!

Edit : Here is a code snippet

Main Report :

We use HR macro to get first or last record from table. One of these are rp_provide_from_last. I need to get two subtypes (0010, 0004) from P0105 table:

Below is my code. The problem is that after the second macro, there are only records of 0004. How can I hold on them together?

I am writing a serialization through ST and it should put several vars/nodes into one XML tag.

Input ABAP itab that should be serialized:

I have a development laptop (Mint 19.3), and a test server (Ubuntu 18.04.4 LTS).

The laptop is Docker version 19.03.5, build 633a0ea838, the server is Docker version 19.03.12, build 48a66213fe

I'm running Python 3.6 code inside the container, which uses subprocess (code below) to create an sshfs mount to a third server, after which the python code walks through the mounted directory.

Everything works fine on my development laptop. But on the server, the directory mounts (and is seen with the mount command) however cd'ing into the directory just hangs, and the Python code's subsequent walk just hangs. (NOTE: The python code never crashes or errors out. It just hangs forever.)

HOWEVER, if I manually use the same sshfs command at the container's command line, the directory works fine.

I'm at a loss as to how to troubleshoot this.

===2020-09-25 UPDATE===

OK. Since the Python code uses subprocess, the sshfs mount is obviously available to any terminal windows that wants to use it.

I have tried accessing the mount from a new terminal window inside the container, but when I cd to the mount - the window just freezes.

Well, I left everything sitting overnight - and now when I try to cd into the mount ... it works. It's like the mount has to sit for hours before it will work.

Any ideas?

Python code

I am working on a bioinformatics project that involves very big NarrowPeak formated files that look like this:

(the columns are 'chrom ,chromStart, chromEnd, name, score ,strand, signalValue ,pValue, qValue ,peak')

I have a pipeline which uses a global singularity image and rule-based conda wrappers.

However, some of the tools don't have wrappers (i.e. htslib's bgzip and tabix).

Now I need to learn how to run jobs in containers.

In the official documentation link it says:

"Allowed image urls entail everything supported by singularity (e.g., shub:// and docker://)."

Now I've tried the following image from singularity hub but I get an error:

I have very recently started using Snakemake.

What I am trying to achieve is this: I have some samples which need to be modified, independently (rule index_vcf). Then, groups of samples are the input of another rule (analyse), and we get an output for each group in groups.

I would like the second rule to run two commands: