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Test FreeBSD with Cirrus CI #42

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Test FreeBSD with Cirrus CI #42

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18 changes: 18 additions & 0 deletions .cirrus.yml
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freebsd_instance:
image: freebsd-13-0-release-amd64
task:
name: FreeBSD
env:
matrix:
- JULIA_VERSION: 1.6
- JULIA_VERSION: 1
- JULIA_VERSION: nightly
allow_failures: $JULIA_VERSION == 'nightly'
install_script:
- sh -c "$(fetch https://raw.githubusercontent.com/ararslan/CirrusCI.jl/master/bin/install.sh -o -)"
build_script:
- cirrusjl build
test_script:
- cirrusjl test
coverage_script:
- cirrusjl coverage codecov coveralls
2 changes: 1 addition & 1 deletion README.md
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| **Documentation** | **Build Status** | **Coverage** | **DOI** |
|:-----------------:|:----------------:|:------------:|:-------:|
| [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://bbopt.github.io/NOMAD.jl/stable) [![](https://img.shields.io/badge/docs-dev-purple.svg)](https://bbopt.github.io/NOMAD.jl/dev) | [![](https://github.com/bbopt/NOMAD.jl/workflows/CI/badge.svg)](https://github.com/bbopt/NOMAD.jl/actions) | [![Coverage Status](https://coveralls.io/repos/github/bbopt/NOMAD.jl/badge.svg?branch=master)](https://coveralls.io/github/bbopt/NOMAD.jl?branch=master) | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3700167.svg)](https://doi.org/10.5281/zenodo.3700167) |
| [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://bbopt.github.io/NOMAD.jl/stable) [![](https://img.shields.io/badge/docs-dev-purple.svg)](https://bbopt.github.io/NOMAD.jl/dev) | [![](https://github.com/bbopt/NOMAD.jl/workflows/CI/badge.svg)](https://github.com/bbopt/NOMAD.jl/actions) [![](https://img.shields.io/cirrus/github/bbopt/NOMAD.jl?logo=Cirrus%20CI)](https://cirrus-ci.com/github/bbopt/NOMAD.jl) | [![Coverage Status](https://coveralls.io/repos/github/bbopt/NOMAD.jl/badge.svg?branch=master)](https://coveralls.io/github/bbopt/NOMAD.jl?branch=master) | [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3700167.svg)](https://doi.org/10.5281/zenodo.3700167) |

This package provides a Julia interface for NOMAD, which is a C++ implementation of the Mesh Adaptive Direct Search algorithm (MADS), designed for difficult blackbox optimization problems. These problems occur when the functions defining the objective and constraints are the result of costly computer simulations.

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