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 |
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