Add jHiccup benchmark

[jellyfishcake]

https://github.com/giltene/jHiccup

This task adds jHiccup as a new benchmark for PKB. It can be divided into a few different components:

Add the benchmarking framework
create jHiccup_benchmark.py file in linux_benchmarks
populate BENCHMARK_NAME and BENCHMARK_CONFIG constants so that the benchmark can be found by PKB
create GetConfig, Prepare, Run and Cleanup functions handlers with pass/return [] as function content. At this point you can run your new benchmark in PKB (though it will not do anything yet).
Install jHiccup
try installing on your machine using the guide on github.
Create a new package called jHiccup.py in linux_packages.
create a new function, Install, that takes a vm as an input and installs jHiccup on that vm. You should be able to wrap shell commands as vm.RemoteCommand add unit tests to make sure the remote commands are issued using mock to mock the vm.
Installing on Ubuntu2404 is top priority, followed by other Linux distributions e.g. Debian, Rhel, Centos etc.
Run jHiccup
Download and run jHiccup locally, you don't need to use PKB to run jHiccup. This part is about parsing the output into some sensible format.
Store the jHiccup output as a file in the data directory under data/jHiccup. This file will be your raw data for parsing and parsing unit tests.
Add a function in jHiccup.py that you added to linux_packages with a sensible name, e.g. ParseResults
Parse results should take a str as input and produce a list of PKB Samples as output. You goal is to parse the output into useful samples, where each sample as a metric name, metric value, metric unit, metric metadata. Each row of jHiccup's output should be a separate metric. Test the parser function