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.
Structured immunity results
mpylab.env.immunity_result provides a shared JSON result format for
immunity applications. Its disturbance records are not tied to electric
field strength: radiated applications can store field components, while
conducted applications can use injected current or voltage with their own
component names. SCUQ quantities retain value, uncertainty, and unit.
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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mpylab-1.0.12.tar.gz.
File metadata
- Download URL: mpylab-1.0.12.tar.gz
- Upload date:
- Size: 22.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c8e04121cb4fbc831871f5be26a10789a4161f9ea13679b94c9a84d1bbe65e6
|
|
| MD5 |
c46828862230ea4982c41bb9d59407e1
|
|
| BLAKE2b-256 |
59014193005db68262efb55f38cbfb2e1dff89ab63d11cff41ef641ed90b2af5
|
File details
Details for the file mpylab-1.0.12-py3-none-any.whl.
File metadata
- Download URL: mpylab-1.0.12-py3-none-any.whl
- Upload date:
- Size: 662.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d223183e341b009e33936f4dd0e9b27b9624bce20ef960afc329c5a63d7c1e5
|
|
| MD5 |
7e5e19f118571045fe63a00a74b95fcf
|
|
| BLAKE2b-256 |
3c783bc95111118e09f1300b39b6069eb216205293f0725cd2d72cc06d277ae9
|
