Skip to main content

Parser/transformator for MAD-X sequences

Project description

Build Status Coverage Latest Version Downloads License

Description

Script to parse MAD-X sequences from a source file and perform simple transformations on the elements.

Dependencies

  • docopt to parse command line options

  • pydicti to store and access element attributes

Installation

The setup is to be performed as follows

python setup.py install

Usage

The command should be called as follows:

Usage:
    madseq.py [-j|-y] [-s <slice>] [<input>] [<output>]
    madseq.py (--help | --version)

Options:
    -j, --json                      Use JSON as output format
    -y, --yaml                      Use YAML as output format
    -s <slice>, --slice=<slice>     Set slicing definition file
    -h, --help                      Show this help
    -v, --version                   Show version information

If <input> is not specified the standard input stream will be used to read the input file. Respectively, the standard output stream will be used if <output> is not specified.

Caution

  • Do not use multi line commands in the input sequences. At the moment these are not parsed correctly!

  • Do not add any at= position arguments in the input sequences. The madseq script takes care of this responsibility.

Changelog

0.3.1

  • use semantic versioning <http://semver.org/>

  • fix deep attribute lookup for elements

0.3

  • redesigned command line

  • fix erroneous parsing of MAD-X arrays, like KNL={…}

  • remove inline attributes for slicing

  • extended slicing via slicing configuration file

  • fix usability of template (predefined) elements

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

madseq-0.3.1.tar.gz (10.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page