pat

Ive seen many questions about creating a new ID variable, based on multiple columns conditions. However it is usually if var1 AND var2 are double, then mark as duplicate number.

My question is how do you create a new variable ID and mark for duplicates if

1. var1 is duplicate, OR
2. var2 is duplicate, OR
3. var3 is duplicate.

Example dataset (EDITED):

I've got this DataFrame, which is a description of sports and their leagues:

I'll start with I asked this question here and got no response: https://github.community/t/private-repo-w-tag-in-workflow/229573

We have three private repos with tags in our package.json as dependencies, one example:

"Private-Repo1": "https://:x-oauth-basic@github.com/project/Private-Repo.git#v1.0.0",

We use oauth keys to access our repos. My PAT is set to allow checking out the repo as well as workflow access.

When we run our Workflow action, it fails at npm ci for this line with an error of:

Thanks for taking the time to read. My current setup is as follows:

I have an azure function service up and running, an az function project in visual studio (which I have tested and it runs without issue), a build pipeline in azure devops that deploys a docker image with my function project to an azure container registry.

My problem:

When I try to setup my function service for CI/CD from my devops pipeline, I get the following error on the "functions" tab on my app: "Azure Functions runtime is unreachable". Also none of the functions from my code are listed. In the deployment center however, I get a message "Deployed successfully to production", and it shows my built docker container image name.

Troubleshooting:

In the deployment center of my function app (in the az portal), I set my app to read directly from the azure container registry (using the exact same docker image that my pipeline built earlier), and that worked perfectly - deployment successful and I could see my individual functions name. When I switched back to CI/CD deployment however I got the same problem as earlier.

Trying to see if anyone has had the same problem or could suggest a path forward for getting CI/CD integration working.

I pasted my yaml file below with some names changed for privacy.

I am working on an eCommerce website and I am stuck . I am mapping through a array and it renders Image and a link . I want to click the link(checkitem) on image and it should open the Image and detail in different page but its not working. I am using reactrouter for it and passing the id of the image to useparams() in my Fullcard component . In my Full card component i am filtering and mapping the array according to the id of the image , but it seems to not work .Can you guys help me.

Here is the CodeSandboxLink of the project : https://codesandbox.io/s/strange-driscoll-gpl629?file=/src/App.js

Here is my Appjs :

I'm writing complex configuration files for a data transformation tool with Perl 5.20.

The configuration file has placeholders for several aspects at load time and runtime encapsulating some path code like

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

There are 2 DataFrames. I want to only select those devices from first DF which fulfills these conditions:

1. If PatternDS has patterns on both Pat1 and Pat2 and any devices match those
2. If on PatternDS either Pat1 or Pat2 is NA, then any device match other side's pattern

I can do this with some UDF and some loops but I want to do this with some joins. Any hints appreciated.

DevicesDS:

I have a list of names 'pattern' that I wish to match with strings in column 'url_text'. If there is a match i.e. True the name should be printed in a new column 'pol_names_block' and if False leave the row empty.