Commands not defined using latest Julia and Oscar versions (downloaded < 3 weeks ago) #2612
Comments
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JuLie (which contains the partition related code) was merged into Oscar in version 0.12.0 which was released Apr 17. So either your registry was not up to date or there is something else in your julia environment that is holding the Oscar version back at 0.11.3. The current version 0.12.1 was released on May 29, about 2 month ago. Edit: (@v1.9) pkg> activate --temp
Activating new project at `/tmp/jl_cbkJDb`
(jl_cbkJDb) pkg> add Oscar
<...>
julia> using Oscar
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...combining (and extending) ANTIC, GAP, Polymake and Singular
Version 0.12.1 ...
... which comes with absolutely no warranty whatsoever
Type: '?Oscar' for more information
(c) 2019-2023 by The OSCAR Development Team
julia> partitions(100, [1,2,5,10,20,50], [2,2,2,2,2,2])
6-element Vector{Partition{Int64}}:
[50, 50]
[50, 20, 20, 10]
[50, 20, 20, 5, 5]
[50, 20, 10, 10, 5, 5]
[50, 20, 20, 5, 2, 2, 1]
[50, 20, 10, 10, 5, 2, 2, 1] |
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Well that is strange, it must be something more sinister then, because I just added Oscar yesterday. After updating everything I could using the "update" command in the pkg environment, this is the output I have for the ]st --outdated --manifest ⌃ [14f7f29c] AMD v0.5.0 (<v0.5.1) The only packages I can update using the update command are: I am not sure what dependency is holding up Oscar, is it obvious to you? Thanks. |
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The key packages in that output are those were something required by Oscar is held back by something that does not belong to the Oscar packages. In this case I noticed: The package PermutationGroups.jl, last release October 2022, needs (according to its Project.toml): So you need to remove this package from the environment to upgrade Oscar. You might also want to have a look at some documentation regarding how to use different project environments, e.g. https://pkgdocs.julialang.org/v1/environments/. |
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I don't need PermutationGroups, this was something I thought I would need at one point and don't. So I deleted it, updated everything by just running the command "update", and Oscar was still out of date. I was not aware of the Project.toml's, so I went and investigated those. Nothing else in Oscar's Project.toml I had explicitly downloaded, so, removing and re-adding Oscar, I received the following output: In particular, Hecke, Nemo, Singular, GAP, and Polymake are not at the latest versions that Oscar requires, but I never manually installed these. The only packages I believe I have explicitly installed include JuMP If I need PermutationGroups at some point I can add that later in an environment, as you suggest. So, basically I am using Oscar to efficiently find the basis for an invariant ring, and I would like to solve a couple partition problems. My program will not run without JuMP, Mosek, MosekTools, SymbolicWedderburn, DynamicPolynomials, and LinearAlgebra (I really need MATLAB too, but I can remove that dependency at a later date). I want to emphasize I am NOT an algebraist or combinatorist, so I have been doing my best with what little I have been teaching myself over the last few months. If there is a less software-risky way to do these tasks than using Oscar that occurs to you, please let me know. |
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What happens if you do the following? This forces it to install version 0.12.1 and throw an error otherwise. |
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This throws the following error pkg> add Oscar@0.12.1 I think I figured out why. Although I do not need PermutationGroups explicitly, I need SymbolicWedderburn, which apparently uses PermutationGroups under the hood according to its Project.toml file (for me, there is no way of getting around this that I am aware of, because this is the only interface available for symmetry-aware optimization in Julia). So, I guess I will not be able to use this Oscar command for the time being, and will have to figure out another way. I can probably just try to pull the source code for the partitions command from JuLie.jl then. (I just want to be efficient in an area I am not familiar with, the code I am writing can get bogged down very quickly. The fact that I can do this in Julia is amazing.) Apologies if this is now a non-Github issue. Please delete the issue if it is off-topic for this forum, and thank you for your help. |
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@lizcarlson yes The next version (0.4) formalizes AbstractPerm interface, implements it and hence drops AA dependency. I didn't have time to thoroughly test it and merge though. |
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Fixed by kalmarek/PermutationGroups.jl#33 |
Hi everyone, I am attempting to solve a partition problem and was very happy to see that Julia can do this in one line using the Oscar package. So, to make sure everything worked, I begin to run the test example, and indeed I simplified it to the following two lines of code.
The resulting error is
ERROR: UndefVarError:
partitionsnot defined.So, in other words, this is a bug. I get a similar error when I try to use the command "getindex_safe".
Here is my version info:
OSCAR version 0.11.3
combining:
AbstractAlgebra.jl v0.27.10
GAP.jl v0.9.7
Hecke.jl v0.17.5
Nemo.jl v0.32.7
Polymake.jl v0.9.2
Singular.jl v0.16.1
building on:
Antic_jll v0.201.500+0
Arb_jll v200.2300.0+0
Calcium_jll v0.401.100+0
FLINT_jll v200.900.7+0
GAP_jll v400.1200.200+5
Singular_jll v403.101.500+0
libpolymake_julia_jll v0.9.2+0
libsingular_julia_jll v0.29.0+0
polymake_jll v400.900.0+0
See
]st -mfor a full list of dependencies.Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
OS: macOS (x86_64-apple-darwin22.4.0)
CPU: 16 × Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, skylake)
Threads: 1 on 16 virtual cores
Official https://julialang.org/ release
Apologies if this is a known issue, I just didn't see it in the Github and though I would make sure this was known and if there was a simple solution. If I need to install and older version of Julia and/or Oscar for things to work, I am happy to do so, thanks.
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