SaltStack VS faker

In the new style, when the tag is longer than 20 characters, an end of tag string is appended to the tag given by the string constant TAGEND, that is, two line feeds '\n\n'. When the tag is less than 20 characters then the tag is padded with pipes "|" out to 20 characters as before. When the tag is exactly 20 characters no padded is done. source: https://github.com/saltstack/salt/blob/master/salt/utils/event.py

https://github.com/saltstack/salt https://github.com/chocolatey/choco https://github.com/nextcloud https://github.com/authelia/authelia https://github.com/grafana/grafana

SaltStack

One thing that really irks me about Salt, though, is that they are very slow to fix bugs. My Salt states are littered with workarounds for bugs that have been open for multiple years. Even in basic things, like ssh authorized_keys management. Other than bug velocity, though, I've been pretty pleased with Salt.

Here are several related GitHub issues: - https://github.com/saltstack/salt/issues/54791 - https://github.com/saltstack/salt/issues/57541 - https://github.com/saltstack/salt/issues/16089

For clarity, here's the issue: https://github.com/saltstack/salt/issues/64111

Nightly builds on supported branches & master running the full test suite, producing fully tested builds. https://github.com/saltstack/salt/actions/workflows/nightly.yml

It's definitely some sort of AI script. Not this exactly, but something working off Python or scripts of thar nature. https://github.com/saltstack/salt

While we’re at it, let's add a couple of other gems we’ll need for our test environment: factory_bot_rails is a fixtures replacement and generates test model instances. faker is handy for generating fake strings of data to be used in tests. Add those gems to the development and test group of your Gemfile:

Next up, we'll combine a few of the techniques we've reviewed to implement snappy typeahead searching. Before we do that, though, let's generate more sample data. I will use the popular faker gem to do that:

Faker was originally written in Perl and is also available as a library for Ruby, Java, and Python.

Faker

rspec-rails factory_bot_rails faker

Ah, so the data is just a giant .yml file of potential options, that I compiled, and then faker grabs a random one based on that data. There's no "database" or anything akin to that.

It's with the Faker library. I was able to reproduce it by spinning up a new rails up, specifying the faker gem , yours, and running the command gives the same error.

To begin using faker, you need to install the gem, which is simply done by running "gem install faker". After you do that, you should add "gem "faker"" to your gem file to ensure correct usage, otherwise you may get an error. Once thats done you can head over to the seeding file and add require "faker" the page. In the seeding file is where you would start to "fake" your data and we use the faker library to pick out random dummy data. In the seeding, your gonna start implementing the data which should look like this,