math:accumulate min over label

Version: 0.0.0

Description

Compute the component-wise sum over all the fields that have the same ID as the label set as input in the fields container and take its opposite. This computation can be incremental. If the input fields container is connected and the operator is run multiple times, the output field will be on all the connected inputs.

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.

fields_container (Pin 0)

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

label (Pin 1)

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

Label of the fields container where it should operate. If not defined and the input Fields Container has only one Label, the operation will be done over all the fields.

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

Configurations

This operator supports configuration options that modify its behavior.

incremental

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

This operator can be run several times with different inputs so that the output will take all the inputs of the different runs into account. It can be used to save memory. For example, a large time scoping can be split in smaller ranges of time to compute the result range by range.

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: None

Full name: None

Internal name: accumulate_min_over_label_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.

#include "dpf_api.h"

ansys::dpf::Operator op("accumulate_min_over_label_fc"); // operator instantiation
op.connect(0, my_fields_container);
op.connect(1, my_label);
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.fields_container.connect(my_fields_container)
op.inputs.label.connect(my_label)
my_field = op.outputs.field()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.math.None() # operator instantiation
op.inputs.fields_container.Connect(my_fields_container)
op.inputs.label.Connect(my_label)
my_field = op.outputs.field.GetData()

Changelog

• Version 0.0.0: Initial release.