exponential exp/std

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#

component : str, mandatory

Component of the input tracers of which exponential is taken

parameters_in : list, mandatory

List of tracers to be exponentialled.

Optional arguments#

parameter : str, optional

Parameter name on which the transform works on

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

component_out : str, optional

Component of the output tracer, if different from the input component.

parameter_out : str, optional

Name of the output tracer.

Requirements#

The current plugin requires the present plugins to run properly:

Requirement name

Requirement type

Explicit definition

Any valid

Default name

Default version

model

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  component: XXXXX  # str
 9  parameters_in: XXXXX  # list
10
11  # Optional arguments
12  parameter: XXXXX  # str
13  orig_parameter_plg: XXXXX  # Plugin
14  orig_component_plg: XXXXX  # Plugin
15  successor: XXXXX  # str
16  precursor: XXXXX  # str
17  component_out: XXXXX  # str
18  parameter_out: XXXXX  # str