Name | mdsconnector JSON |
Version |
1.8.1
JSON |
| download |
home_page | |
Summary | Remote call to MDSplus objects |
upload_time | 2024-03-19 20:40:17 |
maintainer | |
docs_url | None |
author | MDSplus Core Development Team |
requires_python | >2.5 |
license | MIT License Copyright (c) 2017 MDSplus Software Development project Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
keywords |
mdsplus
data managment
data acquisition
magnetic fusion energy
remote data access
|
VCS |
|
bugtrack_url |
|
requirements |
black
bumpver
dill
flake8
isort
mypy
numpy
pip-tools
plumbum
pytest
rpyc
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# mdsConnector
Connect to remote MDSplus server via SSH in python and use MDSplus python objects remotely
This module requires the rpyc module to be installed on the local host. The MDSplus software package
is not needed on the local host but you can utilize all of the MDSplus python objects remotely on
the server you connect to. The data remains on the remote system unless you retrieve an instance
of a python primitive object or an numpy array.
The following example demonstrates how this can be used.
```
>>> from mdsconnector import mdsConnector
>>> c = mdsConnector('hostname')
>>> t = c.Tree('mytree',42)
>>> n = c.getNode('\top:signal')
>>> rec = n.record
>>> nmpyarray = rec.data()
>>> ans = c.Data.execute('$ * 10',nmpyarray).data()
```
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