result:mapdl run

Version: 0.0.0

Description

Solve in mapdl a dat/inp file and returns a datasources with the rst file.

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.

mapdl_exe_path (Pin 0)

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

working_dir (Pin 1)

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

number_of_processes (Pin 2)

• Required: No
• Expected type(s): int32

Set the number of MPI processes used for resolution (default is 2)

number_of_threads (Pin 3)

• Required: No
• Expected type(s): int32

Set the number of threads used for resolution (default is 1)

data_sources (Pin 4)

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

data sources containing the input file.

server_mode (Pin 5)

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

used when a user includes commands in the input file allowing to launch DPF server inside MAPDL to interact with MAPDL using DPF client API

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.

data_sources (Pin 0)

• Expected type(s): data_sources

returns the data source if the server_mode pin is not set to yes

ip (Pin 1)

• Expected type(s): string

returns the Ip if the server_mode pin is set to yes

port (Pin 2)

• Expected type(s): string

returns a port when the server mode pin is set to yes

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: result

Plugin: mapdl

Scripting name: mapdl.run

Full name: result.mapdl.run

Internal name: mapdl::run

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("mapdl::run"); // operator instantiation
op.connect(0, my_mapdl_exe_path);
op.connect(1, my_working_dir);
op.connect(2, my_number_of_processes);
op.connect(3, my_number_of_threads);
op.connect(4, my_data_sources);
op.connect(5, my_server_mode);
ansys::dpf::DataSources my_data_sources = op.getOutput<ansys::dpf::DataSources>(0);
std::string my_ip = op.getOutput<std::string>(1);
std::string my_port = op.getOutput<std::string>(2);

import ansys.dpf.core as dpf

op = dpf.operators.result.mapdl.run() # operator instantiation
op.inputs.mapdl_exe_path.connect(my_mapdl_exe_path)
op.inputs.working_dir.connect(my_working_dir)
op.inputs.number_of_processes.connect(my_number_of_processes)
op.inputs.number_of_threads.connect(my_number_of_threads)
op.inputs.data_sources.connect(my_data_sources)
op.inputs.server_mode.connect(my_server_mode)
my_data_sources = op.outputs.data_sources()
my_ip = op.outputs.ip()
my_port = op.outputs.port()

import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.result.mapdl.run() # operator instantiation
op.inputs.mapdl_exe_path.Connect(my_mapdl_exe_path)
op.inputs.working_dir.Connect(my_working_dir)
op.inputs.number_of_processes.Connect(my_number_of_processes)
op.inputs.number_of_threads.Connect(my_number_of_threads)
op.inputs.data_sources.Connect(my_data_sources)
op.inputs.server_mode.Connect(my_server_mode)
my_data_sources = op.outputs.data_sources.GetData()
my_ip = op.outputs.ip.GetData()
my_port = op.outputs.port.GetData()

Changelog

• Version 0.0.0: Initial release.