...
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#### Python
Source code:
``` python
#! /usr/bin/env python
import os
import pwd
import imas
if __name__ == '__main__':
uid = os.getuid()
pw = pwd.getpwuid(uid)
pulsefile = imas.ids(1, 1)
pulsefile.create_env(pw.pw_name, 'test', '3')
summary = pulsefile.summary
summary.ids_properties.comment = 'Hello World from Python'
summary.ids_properties.homogeneous_time = 1
summary.time.resize(1)
summary.time[0] = 0.1
summary.put()
pulsefile.close()
``` |
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### Data transfer
- There are two approaches to transfer data to and from the container
- The first one uses `docker cp` which can copy files from the host to
the container or vice versa
- Create the container with a meaningful name using
`--name <NAME>` parameter added to `docker run` command:
``` sh
docker run -it --name demo imas/ual
```
- To copy one file at a time:
``` sh
docker cp ids_10001.characteristics demo:/root/public/imasdb/test/3/0/
docker cp ids_10001.datafile demo:/root/public/imasdb/test/3/0/
docker cp ids_10001.tree demo:/root/public/imasdb/test/3/0/
```
- To copy more files/directories at once:
``` sh
tar c ids_10001.* | docker cp - demo:/root/public/imasdb/test/3/0/
``` |
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- The second approach uses volumes i.e., a mapping of a local
directory (which must be provided as an absolute path) to a
container path
- Start the container with
`--volume <LOCAL_PATH>:<CONTAINER_PATH>` parameter added to
`docker run` command
``` sh
docker run -it --volume $(pwd):/root/public/imasdb/test/3/0 imas/ual
```
- The volume approach is recommended as it allows a seamless two-way
transfer between the host and the container |
