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"href": "tutorials/1install.html",
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"title": "1. Installing MEDYAN.jl",
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"text": "MEDYAN.jl is a julia package so first install the julia programming language.\nThis tutorial was generated using:\n\n\nJulia Version 1.11.7\nCommit f2b3dbda30a (2025-09-08 12:10 UTC)\nBuild Info:\n Official https://julialang.org/ release\nPlatform Info:\n OS: Linux (x86_64-linux-gnu)\n CPU: 16 × Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz\n WORD_SIZE: 64\n LLVM: libLLVM-16.0.6 (ORCJIT, skylake)\nThreads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)\nEnvironment:\n LD_LIBRARY_PATH = /home/gh-actions1/actions-runner7/_work/_tool/julia/1.11.7/x64/bin/../lib/julia:/home/gh-actions1/actions-runner7/_work/_tool/julia/1.11.7/x64/bin/../lib\n JULIA_PROJECT = @.\n JULIA_LOAD_PATH = @:@stdlib\n\n\nThe tutorials should work on newer versions of julia, and on MacOS and Windows, please create an issue if you have a problem or question.\nJulia can be installed with juliaup.\nYou can also download julia here.\nDo not install julia using apt install julia or module load julia, as these don’t have a recent version of julia.\nAfter installing julia, open the REPL with the julia command in terminal.\n\n\n\nDownload the exact julia environment used to generate the tutorials.\nClick to Download\nNext extract this zip file and cd into the extracted directory.\nNow run\njulia --project -e 'import Pkg; Pkg.instantiate()'\nTo start the julia REPL in the correct environment to run the tutorials, use:\njulia --project\nFrom inside the medyan-tutorial directory.\nYou can also save julia files in this directory and use the VSCode julia extension to set the environment, and run code blocks, if you prefer that over the REPL.\nhttps://code.visualstudio.com/docs/languages/julia\n\n\n\nThese tests may take a few minutes to run.\njulia lib/MEDYAN/test/install-deps.jl\njulia --project=lib/MEDYAN/test lib/MEDYAN/test/runtests.jl\nIf you have any errors or failing tests create an issue",
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"text": "MEDYAN.jl is a julia package so first install the julia programming language.\nThis tutorial was generated using:\n\n\nJulia Version 1.11.7\nCommit f2b3dbda30a (2025-09-08 12:10 UTC)\nBuild Info:\n Official https://julialang.org/ release\nPlatform Info:\n OS: Linux (x86_64-linux-gnu)\n CPU: 16 × Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz\n WORD_SIZE: 64\n LLVM: libLLVM-16.0.6 (ORCJIT, skylake)\nThreads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)\nEnvironment:\n LD_LIBRARY_PATH = /home/gh-actions1/actions-runner1/_work/_tool/julia/1.11.7/x64/bin/../lib/julia:/home/gh-actions1/actions-runner1/_work/_tool/julia/1.11.7/x64/bin/../lib\n JULIA_PROJECT = @.\n JULIA_LOAD_PATH = @:@stdlib\n\n\nThe tutorials should work on newer versions of julia, and on MacOS and Windows, please create an issue if you have a problem or question.\nJulia can be installed with juliaup.\nYou can also download julia here.\nDo not install julia using apt install julia or module load julia, as these don’t have a recent version of julia.\nAfter installing julia, open the REPL with the julia command in terminal.\n\n\n\nDownload the exact julia environment used to generate the tutorials.\nClick to Download\nNext extract this zip file and cd into the extracted directory.\nNow run\njulia --project -e 'import Pkg; Pkg.instantiate()'\nTo start the julia REPL in the correct environment to run the tutorials, use:\njulia --project\nFrom inside the medyan-tutorial directory.\nYou can also save julia files in this directory and use the VSCode julia extension to set the environment, and run code blocks, if you prefer that over the REPL.\nhttps://code.visualstudio.com/docs/languages/julia\n\n\n\nThese tests may take a few minutes to run.\njulia lib/MEDYAN/test/install-deps.jl\njulia --project=lib/MEDYAN/test lib/MEDYAN/test/runtests.jl\nIf you have any errors or failing tests create an issue",
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"href": "tutorials/1install.html#install-julia",
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"title": "1. Installing MEDYAN.jl",
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"text": "MEDYAN.jl is a julia package so first install the julia programming language.\nThis tutorial was generated using:\n\n\nJulia Version 1.11.7\nCommit f2b3dbda30a (2025-09-08 12:10 UTC)\nBuild Info:\n Official https://julialang.org/ release\nPlatform Info:\n OS: Linux (x86_64-linux-gnu)\n CPU: 16 × Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz\n WORD_SIZE: 64\n LLVM: libLLVM-16.0.6 (ORCJIT, skylake)\nThreads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)\nEnvironment:\n LD_LIBRARY_PATH = /home/gh-actions1/actions-runner7/_work/_tool/julia/1.11.7/x64/bin/../lib/julia:/home/gh-actions1/actions-runner7/_work/_tool/julia/1.11.7/x64/bin/../lib\n JULIA_PROJECT = @.\n JULIA_LOAD_PATH = @:@stdlib\n\n\nThe tutorials should work on newer versions of julia, and on MacOS and Windows, please create an issue if you have a problem or question.\nJulia can be installed with juliaup.\nYou can also download julia here.\nDo not install julia using apt install julia or module load julia, as these don’t have a recent version of julia.\nAfter installing julia, open the REPL with the julia command in terminal.",
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"text": "MEDYAN.jl is a julia package so first install the julia programming language.\nThis tutorial was generated using:\n\n\nJulia Version 1.11.7\nCommit f2b3dbda30a (2025-09-08 12:10 UTC)\nBuild Info:\n Official https://julialang.org/ release\nPlatform Info:\n OS: Linux (x86_64-linux-gnu)\n CPU: 16 × Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz\n WORD_SIZE: 64\n LLVM: libLLVM-16.0.6 (ORCJIT, skylake)\nThreads: 1 default, 0 interactive, 1 GC (on 16 virtual cores)\nEnvironment:\n LD_LIBRARY_PATH = /home/gh-actions1/actions-runner1/_work/_tool/julia/1.11.7/x64/bin/../lib/julia:/home/gh-actions1/actions-runner1/_work/_tool/julia/1.11.7/x64/bin/../lib\n JULIA_PROJECT = @.\n JULIA_LOAD_PATH = @:@stdlib\n\n\nThe tutorials should work on newer versions of julia, and on MacOS and Windows, please create an issue if you have a problem or question.\nJulia can be installed with juliaup.\nYou can also download julia here.\nDo not install julia using apt install julia or module load julia, as these don’t have a recent version of julia.\nAfter installing julia, open the REPL with the julia command in terminal.",
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