math:fft evaluation

Version: 0.0.0

Description

Evaluate the fast fourier transforms at a given set of fields.

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.

field_t (Pin 0)

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

field of values to evaluate

time_scoping (Pin 1)

• Required: No
• Expected type(s): scoping

if specified only the results at these set ids are used

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

offset (Pin 2)

• Expected type(s): field

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.

Scripting

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

Category: math

Plugin: core

Scripting name: fft_eval

Full name: math.fft_eval

Internal name: fft_eval

License: any_dpf_supported_increments

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("fft_eval"); // operator instantiation
op.connect(0, my_field_t);
op.connect(1, my_time_scoping);
ansys::dpf::Field my_field = op.getOutput<ansys::dpf::Field>(0);
ansys::dpf::Field my_offset = op.getOutput<ansys::dpf::Field>(2);

import ansys.dpf.core as dpf

op = dpf.operators.math.fft_eval() # operator instantiation
op.inputs.field_t.connect(my_field_t)
op.inputs.time_scoping.connect(my_time_scoping)
my_field = op.outputs.field()
my_offset = op.outputs.offset()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.math.fft_eval() # operator instantiation
op.inputs.field_t.Connect(my_field_t)
op.inputs.time_scoping.Connect(my_time_scoping)
my_field = op.outputs.field.GetData()
my_offset = op.outputs.offset.GetData()

Changelog

• Version 0.0.0: Initial release.