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Add Julia tests to GitHub actions
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‎.github/julia/.gitignore

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# Don't check Julia's Manifest.toml file into Git
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Manifest.toml

‎.github/julia/Project.toml

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[deps]
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AmplNLWriter = "7c4d4715-977e-5154-bfe0-e096adeac482"
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MINLPTests = "ee0a3090-8ee9-5cdb-b8cb-8eeba3165522"
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MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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[compat]
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AmplNLWriter = "1"
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MINLPTests = "0.6.1"
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MathOptInterface = "1.33"
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Test = "1.10"
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julia = "1.10"

‎.github/julia/runtests.jl

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# Copyright (c) 2018-2024: Charlie Vanaret and contributors
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#
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# Use of this source code is governed by an MIT-style license that can be found
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# in the LICENSE.md file or at https://opensource.org/licenses/MIT.
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# For help with this file, please contact `@odow` on GitHub.
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using Test
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import AmplNLWriter
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import MathOptInterface as MOI
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import MINLPTests
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import Uno_jll
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"""
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Optimizer()
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Create a new `AmplNLWriter.Optimizer` object that uses Uno as the backing
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solver.
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"""
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function Optimizer()
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options = String["logger=SILENT"]
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return AmplNLWriter.Optimizer(Uno_jll.amplexe, options)
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end
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# This testset runs https://github.com/jump-dev/MINLPTests.jl
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@testset "MINLPTests" begin
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primal_target = Dict(
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MINLPTests.FEASIBLE_PROBLEM => MOI.FEASIBLE_POINT,
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# If Uno starts writing a .sol file with an infeasible point, change
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# this to `=> MOI.INFEASIBLE_POINT`
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MINLPTests.INFEASIBLE_PROBLEM => MOI.NO_SOLUTION,
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)
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# This function tests (potentially) non-convex nonlinear programs. The tests
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# are meant to be "easy" in the sense that most NLP solvers can find the
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# same global minimum, but a test failure can sometimes be allowed.
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MINLPTests.test_nlp_expr(;
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exclude = [
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# Remove once https://github.com/cvanaret/Uno/issues/39 is fixed
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"005_010",
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# Okay to exclude forever: AmplNLWriter does not support
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# user-defined functions.
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"006_010",
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# Remove once https://github.com/cvanaret/Uno/issues/38 is fixed
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"007_010",
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],
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primal_target = primal_target,
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) do
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return
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end
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# This function tests convex nonlinear programs. Test failures here should
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# never be allowed, because even local NLP solvers should find the global
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# optimum.
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MINLPTests.test_nlp_cvx_expr(; primal_target) do
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return AmplNLWriter.Optimizer(Uno_jll.amplexe, ["logger=SILENT"])
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end
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end
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# This testset runs the full gamut of MOI.Test.runtests. There are a number of
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# tests in here with weird edge cases, so a variety of exclusions are expected.
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@testset "MathOptInterface.test" begin
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optimizer = MOI.instantiate(
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Optimizer;
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with_cache_type = Float64,
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with_bridge_type = Float64,
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)
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MOI.Test.runtests(
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optimizer,
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MOI.Test.Config(
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# These are pretty loose tolerances so that all tests pass. There
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# are few tests with weird numerics. If tests fail because of
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# tolerances, it might be okay to make these looser, or you could
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# tighten the tolerances used by Uno.
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atol = 1e-4,
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rtol = 1e-4,
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optimal_status = MOI.LOCALLY_SOLVED,
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infeasible_status = MOI.LOCALLY_INFEASIBLE,
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exclude = Any[
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# It's okay to exclude BasisStatus, since AmplNLWriter doesn't
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# support this information, so too with ObjectiveBound, since
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# Uno is a local NLP solver.
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MOI.VariableBasisStatus,
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MOI.ConstraintBasisStatus,
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MOI.ObjectiveBound,
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],
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);
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exclude = [
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# ==================================================================
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# The following tests are bugs.
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#
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# We should fix issues in Uno, and then try removing these lines.
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#
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# These tests return OTHER_LIMIT or OTHER_ERROR instead of
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# LOCALLY_SOLVED.
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r"^test_conic_linear_VectorOfVariables_2$",
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r"^test_linear_integration$",
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r"^test_linear_transform$",
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r"^test_nonlinear_expression_hs109$",
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r"^test_quadratic_constraint_GreaterThan$",
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r"^test_quadratic_constraint_LessThan$",
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r"^test_solve_VariableIndex_ConstraintDual_MAX_SENSE$",
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r"^test_solve_VariableIndex_ConstraintDual_MIN_SENSE$",
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# These tests return OTHER_LIMIT instead of DUAL_INFEASIBLE. It
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# might be acceptable to leave this as-is, but it would be better to
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# fix.
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r"^test_solve_TerminationStatus_DUAL_INFEASIBLE$",
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# These tests return OTHER_LIMIT instead of LOCALLY_INFEASIBLE. It
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# might be acceptable to leave this as-is, but it would be better to
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# fix.
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r"^test_conic_NormInfinityCone_INFEASIBLE$",
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r"^test_conic_NormOneCone_INFEASIBLE$",
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r"^test_conic_linear_INFEASIBLE$",
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r"^test_conic_linear_INFEASIBLE_2$",
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r"^test_linear_INFEASIBLE$",
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r"^test_linear_INFEASIBLE_2$",
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r"^test_solve_DualStatus_INFEASIBILITY_CERTIFICATE_",
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# ==================================================================
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# The following tests are okay to exclude forever.
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#
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# Uno does not support integrality, and AmplNLWriter has no way of
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# telling if a particular binary supports integers or not (it
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# defaults to assuming yes).
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"Indicator",
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r"[Ii]nteger",
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"Semicontinuous",
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"Semiinteger",
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"SOS1",
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"SOS2",
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"ZeroOne",
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r"^test_cpsat_",
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r"^test_attribute_SolverVersion$",
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r"^test_nonlinear_invalid$",
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r"^test_basic_VectorNonlinearFunction_",
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],
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)
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end

‎.github/workflows/julia-tests-ubuntu.yml

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name: CI
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name: JuliaCI
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on:
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push:
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branches: [main]
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name: Julia - ${{ github.event_name }}
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runs-on: ubuntu-latest
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steps:
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- name: Checkout Uno
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uses: actions/checkout@v4
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- name: Install Julia 1.7
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uses: julia-actions/setup-julia@v2
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- uses: actions/checkout@v4
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# Install Julia 1.7 for BinaryBuilder. Note that this is an old version of
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# Julia, but it is required for compatibility with BinaryBuilder.
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- uses: julia-actions/setup-julia@v2
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with:
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version: "1.7"
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arch: x64
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- name: Set the environment variables BINARYBUILDER_AUTOMATIC_APPLE, UNO_RELEASE, UNO_COMMIT
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shell: bash
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# Set environment variables required by BinaryBuilder. The specific
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# version of UNO_RELEASE is unimportant, since Uno_jll doesn't depend on it
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- name: Set the environment variables
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run: |
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echo "BINARYBUILDER_AUTOMATIC_APPLE=true" >> $GITHUB_ENV
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echo "UNO_RELEASE=1.1.1" >> $GITHUB_ENV
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if [ "${{ github.event_name }}" = "pull_request" ]; then
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echo "UNO_COMMIT=${{ github.event.pull_request.head.sha }}" >> $GITHUB_ENV
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echo "UNO_COMMIT=${{ github.sha }}" >> $GITHUB_ENV
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echo "UNO_URL=https://github.com/${{ github.repository }}.git" >> $GITHUB_ENV
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fi
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- name: Generate Uno_jll.jl
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- name: Compile Uno_jll
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run: |
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julia --color=yes -e 'using Pkg; Pkg.add("BinaryBuilder")'
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julia --color=yes .github/julia/build_tarballs_yggdrasil.jl x86_64-linux-gnu-libgfortran5 --verbose --deploy="local"
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- name: Install Julia LTS
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uses: julia-actions/setup-julia@v2
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julia --color=yes .github/julia/build_tarballs_yggdrasil.jl x86_64-linux-gnu-cxx11 --verbose --deploy="local"
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# Now install a newer version of Julia to actually test Uno_jll. We choose
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# v1.10 because it is the current Long-Term Support (LTS).
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- uses: julia-actions/setup-julia@v2
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with:
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version: "1.10"
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arch: x64
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- name: Test AmplNLWriter.jl
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shell: bash
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- uses: julia-actions/cache@v1
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- name: Test .github/julia/runtests.jl
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shell: julia --color=yes --project=.github/julia {0}
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run: |
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git clone https://github.com/jump-dev/AmplNLWriter.jl
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cd AmplNLWriter.jl/test/MINLPTests/
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julia --project --color=yes -e 'using Pkg; Pkg.develop(path="/home/runner/.julia/dev/Uno_jll"); Pkg.develop(path="../.."); Pkg.instantiate(); include("run_minlptests.jl")'
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using Pkg
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Pkg.instantiate()
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Pkg.develop(path="/home/runner/.julia/dev/Uno_jll")
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include("/home/runner/work/Uno/Uno/.github/julia/runtests.jl")

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