Skip to main content

A Python wrapper for Ansys optiSLang application.

Project description

PyAnsys Python pypi PyPIact GH-CI Codecov MIT Black

Overview

PyOptiSLang is a Python wrapper for Ansys optiSLang. It supports Pythonic access to Ansys optiSLang to be able to communicate with Ansys optiSLang directly from Python. The latest ansys-optislang package provides these capabilities:

  • Starting and managing local instances of Ansys optiSLang

  • Remote connections to Ansys optiSLang instances via TCP/IP

  • Create new Ansys optiSLang project

  • Open existing Ansys optiSLang project

  • Control Ansys optiSLang project execution

  • Save Ansys optiSLang project

  • Execute classic Ansys optiSLang Python API script on backend side

  • Evaluate designs on root project level

  • Create and connect nodes

Documentation and issues

For comprehensive information on PyOptiSLang, see the latest release documentation. On the PyOptiSLang Issues page, you can create issues to submit questions, report bugs, and request new features. This is the best place to post questions and code.

Installation

The ansys-optislang-core package supports Python 3.8 through 3.12 on Windows and Linux. Three modes of installation are available:

  • User installation

  • Developer installation

  • Offline installation

For either a developer or offline installation, consider using a virtual environment.

User installation

Install the latest release from PyPi with this command:

pip install ansys-optislang-core

Alternatively, install the latest PyOptiSLang GitHub package with this command:

pip install git+https://github.com/ansys/pyoptislang.git

Developer installation

If you plan on doing local development with GitHub, clone and install PyOptiSLang with this code:

git clone https://github.com/ansys/pyoptislang.git
cd pyoptislang
pip install -e .

A developer installation allows you to edit ansys-optislang-core files locally. Any changes that you make are reflected in your setup after restarting the Python kernel.

Offline installation

Using a wheelhouse can be helpful if you work for a company that restricts access to external networks. From the Releases page in the PyOptiSLang repository, you can find the wheelhouses for a particular release in its assets and download the wheelhouse corresponding to your setup.

You can then install PyOptiSLang and all of its dependencies from one single entry point that can be shared internally, which eases the security review of the PyOptiSLang package content.

For example, on Linux with Python 3.8, unzip the wheelhouse and install PyOptiSLang with code like this:

unzip PyOptiSLang-v0.1.0-wheelhouse-Linux-3.8.zip wheelhouse
pip install ansys-optislang-core -f wheelhouse --no-index --upgrade --ignore-installed

If you’re on Windows with Python 3.9, unzip the wheelhouse to a wheelhouse directory and then install using the same pip command as in the preceding Linux code example.

Dependencies

You must have a local licensed copy or a remote instance of optiSLang installed. The first supported version is 2023 R1.

Getting started

Using the Optislang class, you can either launch optiSLang locally or connect to a remote optiSLang instance.

Launch optiSLang locally

For launching optiSLang locally, both the host and port parameters in the Optislang class must be set to None, which are their defaults. Other parameters can optionally be specified.

from ansys.optislang.core import Optislang

osl = Optislang()
osl.dispose()

Connect to a remote optiSLang instance

For remote connection, it is assumed that an optiSLang instance is already running on a remote (or local) host as a server. In this case, you must specify the host and port parameters. Parameters related to the execution of a new optiSLang instance are ignored.

from ansys.optislang.core import Optislang

host = "127.0.0.1"
port = 5310
osl = Optislang(host=host, port=port)
osl.dispose()

Basic usage

This code shows how to launch optiSLang locally, open and run a Python script file, save the results to a new project, and then close the connection:

from ansys.optislang.core import Optislang

osl = Optislang()
file_path = r"C:\Users\Username\my_scripts\myscript.py"
osl.application.project.run_python_file(path=file_path)
osl.application.save_copy("MyNewProject.opf")
osl.dispose()

License and acknowledgments

PyOptiSLang is licensed under the MIT license.

PyOptiSLang makes no commercial claim over Ansys whatsoever. This library extends the functionality of Ansys optiSLang by adding a Python interface to optiSLang without changing the core behavior or license of the original software. The use of the interactive control of PyOptiSLang requires a legally licensed local copy of optiSLang.

For more information on optiSLang, see the Ansys optiSLang page on the Ansys website.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ansys_optislang_core-0.8.0.tar.gz (719.5 kB view details)

Uploaded Source

Built Distribution

ansys_optislang_core-0.8.0-py3-none-any.whl (769.0 kB view details)

Uploaded Python 3

File details

Details for the file ansys_optislang_core-0.8.0.tar.gz.

File metadata

  • Download URL: ansys_optislang_core-0.8.0.tar.gz
  • Upload date:
  • Size: 719.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for ansys_optislang_core-0.8.0.tar.gz
Algorithm Hash digest
SHA256 287ed630529916900d731bbe0abd254b4b29a709348278fb53fdbc57ec30301a
MD5 8f515965497d1fa385de34141c106839
BLAKE2b-256 d905b14ed69e0151324de18a6e8ff293970ce45a711735062d4497ae3af71e69

See more details on using hashes here.

File details

Details for the file ansys_optislang_core-0.8.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ansys_optislang_core-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fc7598024445fcf2a74c3fe714b058d03e0b3446328857e83883bd58c19840c4
MD5 4e85d4b71adb79ddc2f3741041183fae
BLAKE2b-256 47a880314777c1f4e721bbb9754ae1d9464f04cf9f2cda89bb74e1e56fb7ae87

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page