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DPF Framework 2026 R1

utility:remote operator instantiate

Last update: 31.07.2026

Version: 0.0.0

Description

Create a local image of an existing remote operator (identified by an id and an address) for a given protocol registered in the streams. A workflow is created with this operator and returned in output

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 operator_to_send Required int32
1 output_pin Required int32
3 streams_to_remote Required streams_container
4 data_sources_to_remote data_sources
5 output_name Required string

operator_to_send (Pin 0)

  • Required: Yes
  • Expected type(s): int32

local workflow to push to a remote or id of a remote workflow

output_pin (Pin 1)

  • Required: Yes
  • Expected type(s): int32

pin number of the output to name

streams_to_remote (Pin 3)

data_sources_to_remote (Pin 4)

output_name (Pin 5)

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

output's name of the workflow to return

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 remote_workflow workflow

remote_workflow (Pin 0)

remote workflow containing an image of the remote workflow and the protocols streams

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.

Scripting

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

Category: utility

Plugin: core

Scripting name: remote_operator_instantiate

Full name: utility.remote_operator_instantiate

Internal name: remote_operator_instantiate

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("remote_operator_instantiate"); // operator instantiation
op.connect(0, my_operator_to_send);
op.connect(1, my_output_pin);
op.connect(3, my_streams_to_remote);
op.connect(4, my_data_sources_to_remote);
op.connect(5, my_output_name);
ansys::dpf::Workflow my_remote_workflow = op.getOutput<ansys::dpf::Workflow>(0);
CPython
import ansys.dpf.core as dpf

op = dpf.operators.utility.remote_operator_instantiate() # operator instantiation
op.inputs.operator_to_send.connect(my_operator_to_send)
op.inputs.output_pin.connect(my_output_pin)
op.inputs.streams_to_remote.connect(my_streams_to_remote)
op.inputs.data_sources_to_remote.connect(my_data_sources_to_remote)
op.inputs.output_name.connect(my_output_name)
my_remote_workflow = op.outputs.remote_workflow()
IPython
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.utility.remote_operator_instantiate() # operator instantiation
op.inputs.operator_to_send.Connect(my_operator_to_send)
op.inputs.output_pin.Connect(my_output_pin)
op.inputs.streams_to_remote.Connect(my_streams_to_remote)
op.inputs.data_sources_to_remote.Connect(my_data_sources_to_remote)
op.inputs.output_name.Connect(my_output_name)
my_remote_workflow = op.outputs.remote_workflow.GetData()

Changelog

  • Version 0.0.0: Initial release.

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