Skip to main content

Log MD trajectories with `dyn.attach(LogMd()(atoms)).

Project description

link

Try

pip install logmd
python demo.py

or

from logmd import LogMD
logmd = LogMD(num_workers=2)
dyn.attach(lambda: logmd(atoms), interval=4)
dyn.run(steps)

Doesn't solve your problem? Let us know!

Like it? Buy us a coffee!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

logmd-0.1.tar.gz (3.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

logmd-0.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file logmd-0.1.tar.gz.

File metadata

  • Download URL: logmd-0.1.tar.gz
  • Upload date:
  • Size: 3.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for logmd-0.1.tar.gz
Algorithm Hash digest
SHA256 055cf722b971c8a783224482b4febb290db6afe1ab7119affe89c6827b0147c5
MD5 1618b5090c47534622741f645264b14e
BLAKE2b-256 d71c724a0359c30c0cce11406a57508de1bed1697559d97a8baead1ddfbeeb19

See more details on using hashes here.

File details

Details for the file logmd-0.1-py3-none-any.whl.

File metadata

  • Download URL: logmd-0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.4

File hashes

Hashes for logmd-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 266aafeaba29554fa578dbdf70ab41eec4bfdacaced049a7285c0ee042e99403
MD5 f3aa24e2f342d92e4cabf0229adb372c
BLAKE2b-256 5a1d8930820c88b0942ae456e65cc7e49dc8913104280a124235e9b47d9e9d30

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page