TM5 / std

Yaml arguments

The following arguments are used to configure the plugin. pyCIF will return an exception at the initialization if mandatory arguments are not specified, or if any argument does not fit accepted values or type:

Optional arguments

main_flx_arg: (optional): totototo

document here the argument

accepted type: <class ‘str’>

exp_conversion: (optional): False

Apply the exponential conversion if fluxes stored as non-linear variable

Requirements

The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version

domain

Domain

False

False

dummy

std

Yaml template

Please find below a template for a Yaml configuration:

 1datastream:
 2  plugin:
 3    name: TM5
 4    version: std
 5    type: datastream
 6
 7
 8  # Optional arguments
 9  main_flx_arg: XXXXX
10  exp_conversion: XXXXX