compression:zfp decompression
Last update: 31.07.2026Version: 0.0.0
Description
zfp decompression using the information about compression written into the properties of the field(s)
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 | dataIn | Required | custom_type_fields_container |
dataIn (Pin 0)
- Required: Yes
- Expected type(s):
custom_type_fields_container
custom type field container from zfp_compression operator to decompress
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 | dataOut | field, fields_container |
| 1 | decompress_speed | double |
dataOut (Pin 0)
- Expected type(s):
field,fields_container
the output entity is a field or a fields container; it contains decompressed data
decompress_speed (Pin 1)
- Expected type(s):
double
the output entity is a double, containing decompression speed (mb/sec)
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.
Scripting
This operator can be accessed through scripting interfaces using these identifiers.
Category: compression
Plugin: core
Scripting name: zfp_decompress
Full name: compression.zfp_decompress
Internal name: zfp_decompress
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("zfp_decompress"); // operator instantiation
op.connect(0, my_dataIn);
ansys::dpf::Field my_dataOut = op.getOutput<ansys::dpf::Field>(0);
double my_decompress_speed = op.getOutput<double>(1);
CPython
import ansys.dpf.core as dpf
op = dpf.operators.compression.zfp_decompress() # operator instantiation
op.inputs.dataIn.connect(my_dataIn)
my_dataOut_as_field = op.outputs.dataOut_as_field()
my_decompress_speed = op.outputs.decompress_speed()
IPython
import mech_dpf
import Ans.DataProcessing as dpf
op = dpf.operators.compression.zfp_decompress() # operator instantiation
op.inputs.dataIn.Connect(my_dataIn)
my_dataOut = op.outputs.dataOut.GetData()
my_decompress_speed = op.outputs.decompress_speed.GetData()
Changelog
- Version 0.0.0: Initial release.