math:centroid

Version: 0.0.0

Description

Computes centroid of field1 and field2, using fieldOut = field1*(1.-fact)+field2*(fact). Only works by index.

Inputs

This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.

fieldA (Pin 0)

• Required: Yes
• Expected type(s): field, fields_container

field or fields container with only one field is expected

fieldB (Pin 1)

• Required: Yes
• Expected type(s): field, fields_container

field or fields container with only one field is expected

factor (Pin 2)

• Required: Yes
• Expected type(s): double

Scalar

Outputs

This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.

field (Pin 0)

• Expected type(s): field

Field with centroid calculation: fieldA*(1-factor) + fieldB*factor

Configurations

This operator supports configuration options that modify its behavior.

mutex

• Expected type(s): bool
• Default value: false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

num_threads

• Expected type(s): int32
• Default value: 0

Number of threads to use to run in parallel

run_in_parallel

• Expected type(s): bool
• Default value: true

Loops are allowed to run in parallel if the value of this config is set to true.

work_by_index

• Expected type(s): bool
• Default value: true

If this option is set to true, loops and comparisons by entity will be done by index instead of ids.

Scripting

This operator can be accessed through scripting interfaces using these identifiers.

Category: math

Plugin: core

Scripting name: None

Full name: None

Internal name: centroid

License: None

Examples

These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.

#include "dpf_api.h"

ansys::dpf::Operator op("centroid"); // operator instantiation
op.connect(0, my_fieldA);
op.connect(1, my_fieldB);
op.connect(2, my_factor);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);

import ansys.dpf.core as dpf

op = dpf.operators.math.None() # operator instantiation
op.inputs.fieldA.connect(my_fieldA)
op.inputs.fieldB.connect(my_fieldB)
op.inputs.factor.connect(my_factor)
my_field = op.outputs.field()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.math.None() # operator instantiation
op.inputs.fieldA.Connect(my_fieldA)
op.inputs.fieldB.Connect(my_fieldB)
op.inputs.factor.Connect(my_factor)
my_field = op.outputs.field.GetData()

Changelog

• Version 0.0.0: Initial release.