GSS | 19 paper Guided Similarity Separation | Machine Learning library

I have a playbook that is launched from AWX with machine credentials, ie. with ssh_user_A. In this playbook, i need to perform a couple of tasks with another SSH user, ie. ssh_user_B.

In terms of credentials, I have:

• machine credentials for ssh_user_A that are OK, I can do whatever I need
• a public/private keys couple for ssh_user_B:
  • the public key is present on the remote host in the ~ssh_user_B/.ssh/authorized_keys file
  • if I test this public/private key with a temp machine credentials (not possible in final target) and a dummy playbook or an ad-hoc module call, it works I can do whatever I need

I change the SSH user in the playbook with these instructions:

I have a very simple Scala HBase GET application. I tried to make the connection as below:

Being a newbie in the VBA and programming field struggling a bit to solve the issue of selecting particular columns and then pasting this onto a particular sheet, if sheet exists then erase exisiting data and paste newly copied data i.e. to work in loop so as to always be refreshed with new data entered in the main sheet.

but my Frankenstein code doesnt seem to work, creates the required sheet but pastes data into another new sheet.

Please help!!!

I have ec2 instance with ubuntu v20.04 and it has python v3.8.10 and pysftp 0.2.9.

I have generate .pem file from .ppk file using below command

puttygen sftp_server.ppk -O private-openssh -o sftp_server.pem

I am able to connect successfully to sftp server using command line-

I have a Python 3 application running on CentOS Linux 7.7 executing SSH commands against remote hosts. It works properly but today I encountered an odd error executing a command against a "new" remote server (server based on RHEL 6.10):

encountered RSA key, expected OPENSSH key

Executing the same command from the system shell (using the same private key of course) works perfectly fine.

On the remote server I discovered in /var/log/secure that when SSH connection and commands are issued from the source server with Python (using Paramiko) sshd complains about unsupported public key algorithm:

userauth_pubkey: unsupported public key algorithm: rsa-sha2-512

Note that target servers with higher RHEL/CentOS like 7.x don't encounter the issue.

It seems like Paramiko picks/offers the wrong algorithm when negotiating with the remote server when on the contrary SSH shell performs the negotiation properly in the context of this "old" target server. How to get the Python program to work as expected?

Python code

See final working MWE code at the very bottom, incorporating suggestions made by gss!

In running the below MWE code, if the user clicks the "Browse" button at the top of the sidebar panel and accesses a csv file, the data from that file is uploaded and presented as a table in the main panel. However, I would also like that csv data, as a matrix or vector, to be reflected in the matrix rendered in that sidebar panel. As shown in the image at the bottom. Any ideas for how to do this?

Below in MWE code you can see my commented-out observeEvent() triggered by "Browse" where I try doing this, including the use of the updateMatrixInput() function of the shinyMatrix package. It doesn't work.

Eventually I plan on eliminating the table rendering, as there is no point in seeing the same data twice. But for now for testing I'm trying to run them in parallel.

I'm trying to restore nuget packages in a linux docker container using this simple dockerfile:

I am trying to clone the linux kernel, the transfer speed seems perfectly fine, but curl always aborts:

I am trying to fetch some articles from ACL website based on the keywords as input. The website is using google custom search API and the output of the API is a javascript object.

How I can parse the returned object in python and fetch the article name, URL, and abstract of the research paper from the object.

The script I am using to fetch articles :