zlib | A massively spiffy yet delicately unobtrusive compression

I have just made some pulls from my library's from GitHub, I was using my windows computer to do the coding in VSCode. The code has no problem, although when I attempt to run npm install or yarn install to get the node_modules and the yarn.lock I get a weird error and the packages don't work. I'm using ZSH as the terminal for my Mac.

This is the error output:

Recently I face an issues to install my dependencies using latest Node and NPM on my MacBook Air M1 machine. Then I found out M1 is not supported latest Node version. So my solution, to using NVM and change them to Node v14.16

Everything works well, but when our team apply new eslint configuration. Yet, I still not sure whether eslint was causes the error or not.

I have yaml pipeline running a build in Azure Devops. The Npm@1 task has started failing this morning. npm install works locally with npm version 6.14.5 and it's all green lights on npm Status.

Help me install the react-pdf package (https://github.com/diegomura/react-pdf) on create react app. I can't make changes to webpack.config. I do it according to the instructions I found here from the user River Twilight: How to update webpack config for a react project created using create-react-app?

According to the instructions of installing react-pdf

1. I run npm install process browserify-zlib stream-browserify util buffer assert
2. Created config-override.js in project root folder
3. Next you need to insert the following lines into the config:

when i try to install community version of Orocommerce, but i whem excecute next command: composer install --prefer-dist --no-dev after few minutes process stop and return next error:

I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

So I did the following:

1. write a simple meta.yaml so I could use conda-build to build jive locally
2. build jive with conda build .
3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
5. create a conda env using that environment.yml.

When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

Here is the meta.yaml, which lives in the jive project top level directory:

Here is the code from the real project, adopted for the question, so some data is hardcoded:

In my program, I have a thread which has to continuously monitor the network interfaces therefore it continuosly uses getifaddrs() in a while loop.

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