Py-veosinfo

Added `numa_info()` function.

`veperf` can now print memory bandwidth information from running processes if they are run with `VE_PERF_MODE=VECTOR-MEM`.
In addition it prints the power consumption of each VE as well as the energy consumed since the start of the `veperf` program.

If you have no root privileges on the machine, untar the file py-veosinfo-2.5.1-localinstall-py27-py36.tgz in your home directory. You can then call

~/.local/bin/veperf

Release which includes a better README-md which documents almost all implemented functions.

The build system is changed such that packages can now be uploaded to PyPI, and installed from there with

pip install py-veosinfo

Moved calc_metrics() function into a pure python source inside the veosinfo package. It can now be used by other components that acquire metrics with the ve_pid_perf() function.

Added functions for task metrics measurement.

A goodie is *veperf*, a performance monitoring tool for the own VE tasks. Check out [this post](https://sx-aurora.github.io/posts/VE-monitoring-veperf).

This release includes *sched_getaffinity()* and *sched_setaffinity()* for VEs.

It is installable (also into virtualenvs) from PYPI:

pip install py-veosinfo

veosinfo.so` usable for experimenting by putting it into the current directory and simply calling python.

This version contains the get_regvals() call, thus only makes sense with VEOS 1.2.2 and later.