scoping:adapt with scopings container
Last update: 31.07.2026Version: 0.0.0
Description
Rescopes/splits a fields container to correspond to a scopings container. Each field from the input container is rescoped using each scoping from the scopings container, creating a cartesian product of rescoped 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 | field_or_fields_container | Required | fields_container, field |
| 1 | scopings_container | Required | scopings_container |
| 2 | keep_empty_fields | bool |
field_or_fields_container (Pin 0)
- Required: Yes
- Expected type(s):
fields_container,field
Fields container to rescope, or a single field (which will be converted to a container)
scopings_container (Pin 1)
- Required: Yes
- Expected type(s):
scopings_container
Container with target scopings for rescoping operations
keep_empty_fields (Pin 2)
- Required: No
- Expected type(s):
bool
Whether to keep fields that become empty after rescoping. Default is false.
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
Fields container with rescoped fields, combining labels from input fields and scopings
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: scoping
Plugin: core
Scripting name: adapt_with_scopings_container
Full name: scoping.adapt_with_scopings_container
Internal name: rescope_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("rescope_fc"); // operator instantiation
op.connect(0, my_field_or_fields_container);
op.connect(1, my_scopings_container);
op.connect(2, my_keep_empty_fields);
ansys::dpf::FieldsContainer my_fields_container = op.getOutput<ansys::dpf::FieldsContainer>(0);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.scoping.adapt_with_scopings_container() # operator instantiation
op.inputs.field_or_fields_container.connect(my_field_or_fields_container)
op.inputs.scopings_container.connect(my_scopings_container)
op.inputs.keep_empty_fields.connect(my_keep_empty_fields)
my_fields_container = op.outputs.fields_container()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.scoping.adapt_with_scopings_container() # operator instantiation
op.inputs.field_or_fields_container.Connect(my_field_or_fields_container)
op.inputs.scopings_container.Connect(my_scopings_container)
op.inputs.keep_empty_fields.Connect(my_keep_empty_fields)
my_fields_container = op.outputs.fields_container.GetData()
Changelog
- Version 0.0.0: Initial release.