@JNSDVD Can you try the latest CLP code sample https://github.com/anriseth/MultiJuMP.jl/blob/master/examples/linear.jl as the syntax have changed from v0.5.0

Bump rack from 2.2.3 to 2.2.5

Bumps rack from 2.2.3 to 2.2.5.

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Merge pull request #37 from Optomatica/dependabot/bundler/rack-2.2.5

Bump rack from 2.2.3 to 2.2.5

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Bump rails-html-sanitizer from 1.4.2 to 1.4.4

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Bump puma from 4.3.10 to 4.3.12

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Merge pull request #29 from Optomatica/dependabot/bundler/puma-4.3.12

Bump puma from 4.3.10 to 4.3.12

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Bump loofah from 2.12.0 to 2.19.1

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Merge pull request #35 from Optomatica/dependabot/bundler/loofah-2.19.1

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Fixes error message "ERROR: TypeError: in typeassert, expected MultiJuMP.MultiMethod, got Symbol".

Already updated with another PR

As of this writing, 19 Feb 2022, the latest version of JuMP is v0.22.3. The current version of JuMP required by MultiJuMP conflicts with the more recent version of JuMP required by many other packages that we use.

May I request that MultiJuMP be updated for compatibility with the most recent version of JuMP? Thank you.

Howdy,

Tried to run the test programs to make sure that everything is good (I have upgraded all my packages)

I keep getting seg faults when running any of the test programs, and it isn't clear why i.e

jl_apply at /Users/julia/buildbot/worker/package_macos64/build/src/./julia.h:1700 [inlined] do_call at /Users/julia/buildbot/worker/package_macos64/build/src/interpreter.c:369 eval_body at /Users/julia/buildbot/worker/package_macos64/build/src/interpreter.c:0 jl_interpret_toplevel_thunk at /Users/julia/buildbot/worker/package_macos64/build/src/interpreter.c:911 jl_toplevel_eval_flex at /Users/julia/buildbot/worker/package_macos64/build/src/toplevel.c:819 jl_toplevel_eval_flex at /Users/julia/buildbot/worker/package_macos64/build/src/toplevel.c:769 jl_toplevel_eval at /Users/julia/buildbot/worker/package_macos64/build/src/toplevel.c:828 [inlined] jl_toplevel_eval_in at /Users/julia/buildbot/worker/package_macos64/build/src/toplevel.c:848 eval at ./boot.jl:331 eval_user_input at /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.4/REPL/src/REPL.jl:86 macro expansion at /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.4/REPL/src/REPL.jl:118 [inlined] #26 at ./task.jl:358 jl_apply at /Users/julia/buildbot/worker/package_macos64/build/src/./julia.h:1700 [inlined] start_task at /Users/julia/buildbot/worker/package_macos64/build/src/task.c:687 Allocations: 173746270 (Pool: 173710063; Big: 36207); GC: 195 Segmentation fault: 11

Seems to me like the program is for some reason requesting more threads than available? Has anybody else encountered this issue/knows the solution?

https://s3.amazonaws.com/julialang-reports/nanosoldier/pkgeval/by_hash/ff8b327_vs_29ea1fe/MultiJuMP.1.8.0-DEV-593ff735b36.log

update Jump compat entry to use newer version

Appears to fix #48 and fix #45, which is an out-of-bounds write in dcopy_k_SKYLAKEX from Ipopt to Array{Float64, (3,)}[0.109661, 0.029851, 0] from Base.Generator{Array{Union{Nothing, Float64}, 1}, Ipopt.var"#43#57"{Ipopt.Optimizer}}(f=Ipopt.var"#43#57"{Ipopt.Optimizer}(model=Ipopt.Optimizer(inner=Ipopt.IpoptProblem(ref=0x000055d4327258f0, n=6, m=5, x=Array{Float64, (6,)}[0, 0, 0, 0, 0, 0], g=Array{Float64, (5,)}[0, 0, 0, 0, 0], mult_g=Array{Float64, (5,)}[0, 0, 0, 0, 0], mult_x_L=Array{Float64, (6,)}[0, 0, 0, 0, 0, 0], mult_x_U=Array{Float64, (6,)}[0, 0, 0, 0, 0, 0], obj_val=0, status=0, eval_f=Ipopt.var"#eval_f_cb#44"{Ipopt.Optimizer}(model=<circular reference @-3>), eval_g=Ipopt.var"#eval_g_cb#46"{Ipopt.Optimizer}(model=<circular reference @-3>), eval_grad_f=Ipopt.var"#eval_grad_f_cb#45"{Ipopt.Optimizer}(model=<circular reference @-3>), eval_jac_g=Ipopt.var"#eval_jac_g_cb#47"{Ipopt.Optimizer, Array{Tuple{Int64, Int64}, 1}}(model=<circular reference @-3>, jacobian_sparsity=Array{Tuple{Int64, Int64}, (27,)}[(1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (3, 1), (3, 2), (3, 3), (3, 4), (3, 5), (4, 1), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6), (5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6)]), eval_h=Ipopt.var"#eval_h_cb#48"{Ipopt.Optimizer, Array{Tuple{Int64, Int64}, 1}}(model=<circular reference @-3>, hessian_sparsity=Array{Tuple{Int64, Int64}, (14,)}[(5, 5), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (4, 4), (5, 5), (5, 4)]), intermediate=nothing, sense=:Min), ...), ...), iter=Array{Union{Nothing, Float64}, (3,)}[0, 0, 0])

Fix #49

switch TravisCI to GithubActions

Copied (partly) from my Glob.jl package

Merge pull request #52 from vtjnash/update-jump

Update JuMP (and test with GithubActions)

Note that JuMP is not installable on Julia v1.0, so this requires at least the latest LTS release of Julia, but seems to pass CI testing

Thanks a lot @vtjnash