This repository holds a python package called pyanalog.
It consists of three libraries which allow to interface
analog computers on a software developer/mathematican level:
PyDDAis a tool for simple algebraic transformations of equations and circuits as well as their numerical simulation.PyFPAAis a tool for compiling an electrical circuit into a machine architecture. This especially sets digital potentiometers and cross bar switches and relies on a minimalistic hardware description language (HDL) written in YAML.PyHyConis an interface to a Model-1 Hybrid Controller in order to run a program, steer the operation and gain output data.
See doc/index.rst or call "make docs". You also find the generated docs at https://www.anabrid.dev/pyanalog/
We used to serve them from https://pyanalog.readthedocs.io/ but this page is known to be faulty.
PyFPAA is a work bench to gain experience with hybrid computer programming. It can be used to create examples for the digital/hybrid extensions of the Analog Paradigm Model-1 analog computer (AP/M-1).
pyFPAA is a small Python3 code for compiling
instructions for the AP/M-1 Hybrid Controller (HC),
especially for the DPT (digital potentiometers),
XBAR (crossbar switch) and the HC itself. The input
is a
6E8B
quite extensive machine description together
with a program (basically an analog circuit), both
written in a minimalistic HDL in YAML representation. See the
README file there as well as the doc directory
for more details.
See also examples/fpaa-circuits for a number of example
input for the pyFPAA compiler. There also exist basic
test scripts within tests.
The misc directory also contains a number of old files:
Mathematica: Notebooks for Wolfram Mathematica which demonstrate the overall processing from symbolic expressions (or simple ordinary differential equations) to analog computer setups. (This was the first thing I did starting in Dec 2019.)
A clone of the Perl IO::HyCon library. See the code for
further details.
This directory holds the package root directory (where setup.py lives) of the PyDDA package. This is mostly a pure Python3 package with no dependencies.
If you are lazy, you can start using PyDDA right from here:
$ git clone git@lab.analogparadigm.com:koeppel/dda.git
$ cd dda/PyDDA
$ python3
>>> from pydda import *
>>> s = BreveState()
>>> s.x = Symbol("int", "x", 0.02, 0)
>>> print(s)
State({'x': int(x, 0.02, 0)})
Please have a look at the doc/ directory for instructions on how to use the package. It contains also instructions how to install PyDDA properly. Run "make" to see the various formats the documentation can be generated in.
Stay analog!