arc2control 0.1.0

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Description:

arc2control 0.1.0

ArC TWO™ Control Panel
This is the frontend application for ArC TWO. It exposes functionality mostly
related to crossbar configurations and provides a set of predefined
experiments suitable for general and (P/R/FE)RAM devices characterisation.

Instructions
Installation
If you have a recent Python installer, stable ArC2Control versions are
available from PyPI:
pip install arc2control

You can then run ArC2Control with:
python -m arc2control

Additionally, installers for Windows and AppImages for Linux are
made periodically available from our releases
page.
If you have git installed, you can also try out the latest development
snapshot:
pip install git+https://github.com/arc-instruments/arc2control

Development
To develop on ArC2Control itself the recommended way to get started is by using
a virtual environment. ArC2Control uses poetry to
manage virtual environments. You might want to use a development version of
pyarc2 as well although that's
optional. We try to depend only on stable pre-built versions of pyarc2 but
that's not guaranteed.

[Optional] You will need a functional Rust toolchain.
You will need a relatively new Python (≥ 3.8) and also have poetry
installed (python -m pip install poetry). Pip must also be updated to at
least version 20.x.
Clone this repository and descend into it.
Initialise the virtual environment: python -m poetry install. This only needs
to be done once.
[Optional] Update pyarc2 to the latest development snapshot which can
easily be done with the included script poetry run python venv-pyarc2-update.py git+https://github.com/arc-instruments/pyarc2. This will download pyarc2 via git,
build it and install it into the virtualenv.
Run the setup script poetry run python setup.py build.
Run ArC2Control poetry run python -m arc2control.

Custom modules
ArC2Control can be extended with custom experiment panels. An ArC2Control experiment
module is a standalone Python module that includes the following in its __init__.py.
MOD_NAME = 'ModuleName'
MOD_DESCRIPTION = 'Description of said module'
MOD_TAG = 'MN' # a shorthand tag for the module
BUILT_IN = False

from .module import MainModule
# MainModule must derive from arc2control.modules.base.BaseModule`
ENTRY_POINT = MainModule

The built-in experiment modules are also built with the same infrastructure so
they can be used as a scaffold to build your own.
I have a question
Feel free to make a new topic under
Discussions. This
should be your first stop for support unless you are somewhat certain you run
into a bug (which is very possible at this stage). In that case…
I found a bug!
If ArC2Control does not behave as you would expect please open an
issue describing the
problem and how to reproduce it. Don't forget to mention the operating system
you are running on!

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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