math:+ (fields container)
Last update: 31.07.2026Version: 0.0.0
Description
Selects all fields with the same label space in the input fields container and add those together. If fields, doubles, or vectors of doubles, are put in input they are added to all the 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.
| Pin number | Name | Status | Expected type(s) |
|---|---|---|---|
| 0 | fields_container | Required | fields_container, field, double, vector<double> |
fields_container (Pin 0)
- Required: Yes
- Expected type(s):
fields_container,field,double,vector<double>
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)
- Expected type(s):
fields_container
FieldsContainer with summed fields by label space
Configurations
This operator supports configuration options that modify its behavior.
binary_operation
- Expected type(s):
binary_operation_enum,int32 - Default value: 1
This option allows to choose how two inputs will be treated together. eOnlyIntersection (0) means that the output will only contain the entities shared by all the inputs. eUnion (1) means that the output will contain all the entities contained in at least one of the inputs.
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
permissive
- Expected type(s):
bool - Default value: false
If this option is set to true, warning checks (like unit or data sizes) won't be done.
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: math
Plugin: core
Scripting name: None
Full name: None
Internal name: add_fc
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("add_fc"); // operator instantiation
op.connect(0, my_fields_container);
ansys::dpf::FieldsContainer my_fields_container = op.getOutput<ansys::dpf::FieldsContainer>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.math.None() # operator instantiation
op.inputs.fields_container1.connect(my_fields_container1)
op.inputs.fields_container2.connect(my_fields_container2)
my_fields_container = op.outputs.fields_container()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.math.None() # operator instantiation
op.inputs.fields_container.Connect(my_fields_container)
my_fields_container = op.outputs.fields_container.GetData()
Changelog
- Version 0.0.0: Initial release.