exponential exp/std
#
Description#
The transform exp
takes the exponential of the input fields.
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:
Mandatory arguments#
- parameter : str, mandatory
Tracer of the input to be clipped or cropped
- component : str, mandatory
Component of the input tracers of which exponential is taken
Optional arguments#
- orig_parameter_plg : Plugin, optional
Plugin object on which the transform works on
- orig_component_plg : Plugin, optional
Corresponding component object on which the transform works on
- successor : str, optional
Name of the successor transform
- precursor : str, optional
Name of the precursor transform
Requirements#
The current plugin requires the present plugins to run properly:
Requirement name |
Requirement type |
Explicit definition |
Any valid |
Default name |
Default version |
---|---|---|---|---|---|
model |
False |
True |
None |
None |
YAML template#
Please find below a template for a YAML configuration:
1transform:
2 plugin:
3 name: exp
4 version: std
5 type: transform
6
7 # Mandatory arguments
8 parameter: XXXXX # str
9 component: XXXXX # str
10
11 # Optional arguments
12 orig_parameter_plg: XXXXX # Plugin
13 orig_component_plg: XXXXX # Plugin
14 successor: XXXXX # str
15 precursor: XXXXX # str