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DPF Framework 2026 R1

result:recombine cyclic harmonic indices

Last update: 31.07.2026

Version: 0.0.0

Description

Add the fields corresponding to different load steps with the same frequencies to compute the response.

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.

Pin number Name Status Expected type(s)
0 fields_container Required fields_container
1 is_constant bool

fields_container (Pin 0)

is_constant (Pin 1)

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

If the result is constant, it will only copy the first result found.

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.

Pin number Name Expected type(s)
0 fields_container fields_container

fields_container (Pin 0)

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.

use_cache

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

Some intermediate data is put in cache if this config is set to true. This option can reduce computation time after the first run.

work_by_index

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

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: result

Plugin: core

Scripting name: recombine_harmonic_indeces_cyclic

Full name: result.recombine_harmonic_indeces_cyclic

Internal name: recombine_harmonic_indeces_cyclic

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.

C++
#include "dpf_api.h"

ansys::dpf::Operator op("recombine_harmonic_indeces_cyclic"); // operator instantiation
op.connect(0, my_fields_container);
op.connect(1, my_is_constant);
ansys::dpf::FieldsContainer my_fields_container = op.getOutput<ansys::dpf::FieldsContainer>(0);
CPython
import ansys.dpf.core as dpf

op = dpf.operators.result.recombine_harmonic_indeces_cyclic() # operator instantiation
op.inputs.fields_container.connect(my_fields_container)
op.inputs.is_constant.connect(my_is_constant)
my_fields_container = op.outputs.fields_container()
IPython
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.result.recombine_harmonic_indeces_cyclic() # operator instantiation
op.inputs.fields_container.Connect(my_fields_container)
op.inputs.is_constant.Connect(my_is_constant)
my_fields_container = op.outputs.fields_container.GetData()

Changelog

  • Version 0.0.0: Initial release.

Connect with Ansys