mpylab
This is mpylab. Mpylab is a framework for automatic measurement application and hardware device drivers (TCP/IP, GPIB, serial, USB).
This software is distributed unter GPL-3 or higher. See LICENSE for details.
Installation
pip3 install mpylab
Command-line tools
Installing mpylab provides three configuration-maintenance commands:
# Migrate legacy f condition identifiers in one DOT file or a directory.
mpylab-dot-migrate --write local-config.dot
mpylab-dot-migrate --check --recursive path/to/configurations
# Migrate legacy NPORT interpolation settings.
mpylab-nport-migrate --write local-cable.ini
mpylab-nport-migrate --check --recursive path/to/configurations
# Check NPORT coverage, sampling and interpolation quality.
mpylab-nport-check --recursive path/to/configurations \
--json-report nport-quality.json
Both migration commands perform a dry run and show a diff unless --write
or --check is selected. Use --no-diff to suppress diff output. The DOT
tool can additionally validate selected signal paths with --path,
--frequency-range, --path-mode and --context. Run any command with
--help for its complete option list. Detailed usage is available in the
documentation.
MSC virtual workflows
The MSC scripts can be run with virtual device configurations below
script/conf. The pickle files written by these scripts are history
containers: a new measurement loads an existing MSC instance, appends new
measurement and evaluation data, and writes a new pickle containing the full
previous history.
Typical sequences are:
maincal -> eutcal -> immunity
maincal -> eutcal -> emission
maincal -> eutcal -> immunity -> emission
Example from the script directory:
python msc-maincal.py conf/msc-immunity-virtual/conf.py
python msc-eutcal.py conf/msc-immunity-virtual/conf-eutcal.py
python msc-immunity.py conf/msc-immunity-virtual/conf-immunity.py
python msc-emission.py conf/msc-emission-virtual/conf-after-immunity.py
GTEM virtual workflows
The current TEM/GTEM scripts focus on one-port GTEM cells. The virtual workflow follows the traceable pickle-history model used by the MSC scripts:
e0y -> emission
Example from the script directory:
python tem-e0y.py conf/tem-gtem-e0y-virtual/conf.py
python tem-emission.py conf/tem-gtem-emission-virtual/conf.py
The measurement and evaluation workflow is based on IEC 61000-4-20:2010,
especially Annex A.3.2.3 for one-port GTEM emission correlation and Annex
A.3.2.3.3 for the e0y field factor.
License
GPL-3 or higher
Repository
The documentation is also available from the gitlab server of TU Chemnitz:
https://mpylab-75fcff.gp.hrz.tu-chemnitz.de/
Contact
Prof. Dr. Hans Georg Krauthäuser (hgk@ieee.org)
Chair for Electromagnetic Theory and Compatibility
Technische Universität Dresden, Dresden, Germany
1 maintainer
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