Skip to main content

WOFRY (Wave Optics FRamework in pYthon) for Wiser library

Project description

WOFRY (Wave Optics FRamework in pYthon) for Wiser library —

Kernel classes for WOFRY - Wiser in python.

It is an intermediate layer between LibWiser and Wofry. It exists in order to ensure interoperability between the rest of OASYS codes and LibWiser - numerical integration using Huygens integral.

syned package requires Python 3.3 or newer.

Work in progress — * initial layer for scripting

Installing —

wofrywiser will be pip installable (https://pip.pypa.io/) by:

pip install wofrywiser

to install it.

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

WofryWiser-0.0.1.tar.gz (3.1 kB view details)

Uploaded Source

File details

Details for the file WofryWiser-0.0.1.tar.gz.

File metadata

  • Download URL: WofryWiser-0.0.1.tar.gz
  • Upload date:
  • Size: 3.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.5

File hashes

Hashes for WofryWiser-0.0.1.tar.gz
Algorithm Hash digest
SHA256 8d8a82e589b92ec63faa418f09b5d43cae770cd1941cd26413af7b66409cd3f1
MD5 5f81cdaf39cbc24e0c64b8eaa8d99547
BLAKE2b-256 e5adcfdbbecfde21cb91282f44ba60b3c917fed1e4041d340a21c4ad349e019e

See more details on using hashes here.

Supported by

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